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1. In vitro study of antioxidant and anti-inflammatory effects of Dialium cochinchinense

Author: TTN Nguyen, T-H Vo, Y-C Lin, K Lee C, and J-J Cheng
Published: 2022
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2. User’s Manual for RESRAD-BUILD Code V.4: Vol. 1 – Methodology and Models Used in RESRAD-BUILD Code

Author: C. Yu, J.-J. Cheng, E. Gnanapragasam, S. Kamboj, D. LePoire, and C. Wang
Published: 2022
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3. Clinical effect of open reduction and internal fixation with a steel plate through the triceps approach in the treatment of fractures of the middle and lower 1/3 of the humerus

Author: C, Ba, X-H, Ni, G-P, Zhu, J-L, Yu, J-J, Cheng, J-S, Wu, R-S, Xu, T, Guo, Y-K, Li, and Q-M, Zhao
Subjects: Humeral Fractures, Fracture Fixation, Internal, Treatment Outcome, Steel, Arm, Humans, Humerus, Bone Plates, Retrospective Studies
Abstract: The stability of fractures of the middle and lower 1/3 of the displaced humeral shaft is poor, and surgery is currently the main treatment. The posterolateral approach to the upper arm has many advantages but it is not widely used in clinical applications. The aim of the study was to investigate the clinical effect of open reduction and internal fixation with a steel plate through the triceps approach in the treatment of fractures of the middle and lower 1/3 of the humerus.A retrospective analysis was performed on 26 patients with fractures of the middle and lower 1/3 of the humerus who were admitted to our hospital from January 2018 to December 2021. According to the AO ASIF classification, 12 patients had type A, 8 patients had type B, and 6 patients had type C fractures. The posterior transtriceps approach was used for open reduction and internal fixation with a steel plate to evaluate its clinical efficacy.All patients were followed completely, and the follow-up time was 6.0-18.0 months. Fracture nonunion occurred in 1 patient after the operation, and the other 25 patients healed well; 2 patients showed symptoms of radial nerve injury and numbness in the tiger's mouth area, which improved after 2 weeks. The average healing time of the fracture was 12.3 weeks. There were no infections or complications such as plate fractures. Elbow joint function according to Mayo scoring standards was as follows: 19 cases were excellent, 3 cases were good, 2 cases were fair, and 2 cases were poor. The excellent and good rate was 84.6%.Open reduction through the triceps approach and internal fixation with a steel plate for the treatment of the middle and lower 1/3 of the humerus can directly expose and protect the radial nerve and its branches and reduce radial nerve damage, and plate fixation on the tension side is biomechanical and worthy of clinical application.
Published: 2022

4. Microstructure and Oxidation Resistance of Graphene/Ti-Al-Sn-Zr-Nb-Mo-Si Composites Prepared by Spark Plasma Sintering

Author: Gao Guoqing, Jucai Du, Xiaojing Xu, Ru Jinming, Zhou Yuhua, J. J. Cheng, and Li Jianwei
Subjects: 010302 applied physics, Materials science, Graphene, Mechanical Engineering, Alloy, Composite number, Spark plasma sintering, 02 engineering and technology, engineering.material, 021001 nanoscience & nanotechnology, Microstructure, 01 natural sciences, law.invention, Mechanics of Materials, law, 0103 physical sciences, engineering, General Materials Science, Composite material, 0210 nano-technology, Porosity, Layer (electronics), Oxidation resistance
Abstract: Ti-6Al-4Sn-9Zr-1.21Nb-1.6Mo-0.3Si powders and graphene nanoplatelets (GNPs) were used as the raw materials to prepare GNPs/Ti-Al-Sn-Zr-Nb-Mo-Si composites by using spark plasma sintering method. The effect of adding 1-4 wt.% GNPs on the porosity, hardness, microstructure, phase composition and oxidation resistance of composites at 1073 and 1173 K were investigated. The results show that all GNPs/Ti-Al-Sn-Zr-Nb-Mo-Si composites before oxidation possessed the porosity of not more than 0.20% and the average hardness of higher than 480 HV. The porosity of composites decreased and the average hardness of composites increased, while the content of graphene increased. Compared with the matrix, Ti-6Al-4Sn-9Zr-1.21Nb-1.6Mo-0.3Si-4GNP possessed highest hardness (533.9 HV) and lowest porosity (0.14%). Compared with the composites before oxidation, the hardness of the composites oxidized at 1073 K and 1173K decreased by less than 10%, which meant that the composites still possessed excellent performance at high temperature. GNPs/Ti-Al-Sn-Zr-Nb-Mo-Si composites with adding various graphene oxidized at 1073 K and 1173K were composed of TiO2, Al2O3, SiO2, SnO2, Nb2O5, Ti3O5, ZrO2 and MoO3 and MoSi2 was just generated after oxidation at 1073 K. The GNPs content and oxidation temperature influenced the oxidation resistance. At 1173 K, the composite with 1 wt.% GNPs possessed the lowest average oxidation rate (2.57 × 10−3 g m−2 h−1), which was about 84.7% less than that of the matrix alloy, and its thickness of the oxidized layer was thinnest, which was about 12 μm. The oxidation resistance of the composites with adding 1-4 wt.% GNPs was better than the unreinforced alloy.
Published: 2021
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5. Study on twist defect of thin-walled components with asymmetric section during roll forming

Author: J J Cheng, J G Cao, K Ruan, X S Wang, J Liu, and R G Zhao
Subjects: General Medicine
Abstract: With the development of lightweight technology, advanced high strength steel (AHSS) had been widely used in automotive and construction industry. However, twist defect restricts the application of thin-walled components with asymmetric section. In this work, AHSS MS1500 was taken to investigate the complex non-linear elastoplastic behaviors and twist defect in roll forming process. Finite element analysis (FEA) model was established by COPRA software and the material model considered Young’s modulus variation with plastic deformation and material anisotropy was selected. With the developed model, the mechanism of twist defect was discussed and the effect of forming strategy on twist defect was analyzed. For asymmetric hat channel steel, the asymmetric residual longitudinal stress is the principal reason for twist defect. Loading patterns have a significant effect on twist defect and the developed UDT-type (USTB-Durable-type) method can control twist defect effectively. This study has provided theoretical and technical support on large-scale application of AHSS.
Published: 2022
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6. Circ_001680 aggravates the malignant process of gastric carcinoma by targeting MAP2

Author: H-D, Zhao, Y, Ma, X-S, Wu, J-J, Cheng, Z-G, Xia, C, Kan, X-J, Ding, W-D, Chen, L-Z, Zhang, X-Y, Wang, Y, Cai, and S-Y, Wang
Subjects: Male, Stomach Neoplasms, Humans, Female, RNA, Circular, Middle Aged, Microtubule-Associated Proteins, Cell Line
Abstract: This study aims to explore the expression pattern and clinical significance of circ_001680 in gastric carcinoma (GC) process.Circ_001680 levels in 40 pairs of GC and paracancerous ones were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The relationship between circ_001680 and GC clinicopathological parameters was analyzed. AGS and SGC-7901 cells were used for constructing circ_001680 knockdown models by shRNA transfection. Proliferative and metastatic abilities in GC cells with circ_001680 knockdown were examined by cell counting kit-8 (CCK-8) and transwell assay, respectively. Dual-Luciferase reporter assay was conducted to clarify the interaction between circ_001680 and MAP2. Their co-regulation on GC process was detected through rescue experiments.Circ_001680 was highly expressed in GC tissues and cell lines. High level of circ_001680 predicted high incidences of lymphatic and distant metastasis, and poor prognosis in GC patients. Knockdown of circ_001680 suppressed proliferative and metastatic abilities in AGS and SGC-7901 cells. MAP2 was the target gene binding circ_001680, which was lowly expressed in GC. In addition, MAP2 was negatively correlated to circ_001680. Knockdown of MAP2 could abolish the suppressed proliferative and metastatic abilities in GC cells with circ_001680 knockdown.Circ_001680 is highly expressed in GC tissues and closely related to metastasis and prognosis in GC patients, which promotes the proliferative and metastatic abilities in GC cells by negatively interacting with MAP2.
Published: 2020

7. Dose Modeling for Harborview Research and Training Facility

Author: L. Garrison, C. Yu, J. J. Cheng, Sunita Kamboj, J. Adduci, David J. LePoire, and R Pierson
Subjects: medicine.medical_specialty, Computer science, Training (meteorology), medicine, Medical physics
Published: 2019
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8. Processing Map and Mechanism of Hot Deformation of a Corrosion-Resistant Nickel-Based Alloy

Author: Liuding Wang, Changfeng Chen, F. Liu, Q. Zuo, and J. J. Cheng
Subjects: 010302 applied physics, Materials science, Mechanical Engineering, Alloy, Nucleation, Recrystallization (metallurgy), 02 engineering and technology, engineering.material, Strain rate, Atmospheric temperature range, 021001 nanoscience & nanotechnology, Microstructure, 01 natural sciences, Mechanics of Materials, 0103 physical sciences, engineering, Dynamic recrystallization, General Materials Science, Composite material, 0210 nano-technology, Electron backscatter diffraction
Abstract: Hot deformation behavior of a corrosion-resistant nickel-based alloy was studied in temperature range of 1050-1200 °C and strain rate range of 0.001-10 s−1 by employing hot compression tests. An approach of processing map was used to reveal the hot workability and microstructural evolution during the hot deformation. The results show that different stable domains in the processing map associated with the microstructure evolution can be ascribed to different dynamic recrystallization (DRX) mechanisms. The discontinuous dynamic recrystallization (DDRX) grains evolved by the necklace mechanism are finer than those evolved by the ordinary mechanism, respectively, arising from the strong nucleation process and the growth process. If subjected to low temperature and high strain rate, the flow instability domain occurs, due to the continuous dynamic recrystallization (CDRX) based on the evolution of deformation micro-bands within the deformed grains. Based on the processing map, a DRX mechanism map is established, which can provide an idea for designing desired microstructure.
Published: 2016
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9. Microstructure and oxidation behaviour of graphene nanoplatelets / titanium composites prepared by spark plasma sintering

Author: Jucai Du, Ru Jinming, Gao Guoqing, Li Jianwei, Zhou Yuhua, Xiaojing Xu, and J. J. Cheng
Subjects: Materials science, Graphene, Composite number, Spark plasma sintering, chemistry.chemical_element, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Microstructure, 01 natural sciences, 0104 chemical sciences, law.invention, Exfoliated graphite nano-platelets, chemistry, law, General Materials Science, Cubic law, Mass gain, Composite material, 0210 nano-technology, Titanium
Abstract: Ti–18Mo-0.5Si-xGNP composites with various graphene contents were prepared by spark plasma sintering technique. The effects of graphene contents on the microstructure, phase composition and the oxidation behaviour at 1073 K and 1173 K were investigated. The results show that the oxidation behaviour was influenced by the graphene contents. After oxidation at 1073 K and 1173 K, the surface of samples were mainly composed of TiO2, SiO2 and TiO and Ti3O5 was only generated after oxidation at 1073 K. The oxidized layer thickness and average oxidation rate of the composites increased with increasing graphene contents. However, the Ti–18Mo-0.5Si-0.04GNP composite exhibited a less mass gain (2.92 mg cm−2 and 3.21 mg cm−2, respectively) and lower average oxidation rate (0.09 g m−2 h−1 and 0.12 g m−2 h−1, respectively) when it was oxidized at 1073 K and 1173 K, respectively. The oxidation law of Ti–18Mo-0.5Si-0.04GNP composite is in accordance with the cubic law and Ti–18Mo-0.5Si-0.04GNP composite possessed better oxidation resistance performance.
Published: 2020
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10. Multiscale Models for Electroplating of Through Silicon Vias

Author: N. Sridhar, J. J. Cheng, C. A. Joshi, Lai MingRui, H. Ramanarayan, M. S. Bharathi, David T. Wu, Jin Hongmei, K. R. Mangipudi, S. Wu, Khoong Hong Khoo, and S.S. Quek
Subjects: Reaction mechanism, Silicon, business.industry, chemistry.chemical_element, Defect free, Microstructure, Computer Science::Other, Ion, chemistry, Optoelectronics, Density functional theory, Kinetic Monte Carlo, Electroplating, business
Abstract: We present multi-scale models providing guidelines for defect free growth of filling of through silicon vias (TSV) by electroplating. Using first-principles calculations, we understand the chemistry of the electroplating process. We use density functional theory calculations to identify the reaction mechanisms and calculate the reaction energies of the different additives i.e., chloride ion, suppressor, and accelerator in the plating solution. We also present a kinetic Monte Carlo model that can incorporate the chemical and transport properties of the ions and additives during the electroplating. We demonstrate the role of aspect ratio and attachment rates on defect-free bottom-up filling. These multiscale tools can provide the inputs for a continuum phase field model to predict the microstructure during TSV filling (not reported here).
Published: 2018
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11. Arrhenius-Type Constitutive Model for High Temperature Flow Stress in a Nickel-Based Corrosion-Resistant Alloy

Author: Q. Zuo, J. J. Cheng, Liuding Wang, F. Liu, and Changfeng Chen
Subjects: 010302 applied physics, Arrhenius equation, Materials science, Strain (chemistry), Mechanical Engineering, Constitutive equation, Metallurgy, technology, industry, and agriculture, Thermodynamics, 02 engineering and technology, Activation energy, Strain rate, Flow stress, 021001 nanoscience & nanotechnology, 01 natural sciences, symbols.namesake, Mechanics of Materials, 0103 physical sciences, symbols, General Materials Science, Dislocation, Deformation (engineering), 0210 nano-technology
Abstract: Hot deformation behavior of Nickel-based corrosion-resistant alloy (N08028) was studied in compression tests conducted in the temperature range of 1050-1200 °C and the strain rate range of 0.001-1 s−1. The flow stress behavior and microstructural evolution were observed during the hot deformation process. The results show that the flow stress increases with deformation temperature decreasing and strain rate increasing, and that the deformation activation energy (Q) is not a constant but increases with strain rate increasing at a given strain, which is closely related with dislocation movement. On this basis, a revised strain-dependent hyperbolic sine constitutive model was established, which considered that the “material constants” in the original model vary as functions of the strain and strain rate. The flow curves of N08028 alloy predicted by the proposed model are in good agreement with the experimental results, which indicates that the revised constitutive model can estimate precisely the flow curves of N08028 alloy.
Published: 2016
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12. Effect of canopy temperature on the stripe rust resistance of wheat

Author: J-J Cheng, B Ren, Z-S Kang, C-J Zhou, H Li, and L-L Huang
Subjects: Canopy, Agronomy, Resistance (ecology), Seedling, Greenhouse, Puccinia striiformis, Stripe rust, Plant canopy, Horticulture, Biology, Disease progress, biology.organism_classification, Agronomy and Crop Science
Abstract: Stripe rust of wheat (Triticum aestivum), caused by Puccinia striiformis f. sp. tritici, is highly affected by temperature, but the role of crop canopy temperature in stripe rust resistance is poorly understood. Five wheat varieties, which have different canopy temperatures and are susceptible to P. striiformis f. sp. tritici at the seedling stage, were investigated for resistance to stripe rust at the adult-plant stage in greenhouse and field experiments. In the greenhouse tests, all five varieties were resistant to stripe rust at the adult-plant stage. At the grain-filling stage in the 2007–2010 field experiments at two locations, the two varieties (NR 9405 and 9430) with higher canopy temperatures had lower disease index and smaller area under the disease progress curve values than the three varieties (Shaan 229, RB 6 and Xiaoyan 6) with lower canopy temperatures. The results indicated that the five tested wheat varieties had similar resistance reactions to stripe rust at the adult-plant stage in the g...
Published: 2015
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13. Perimenarchal air pollution exposure and menstrual disorders

Author: Francine Laden, S E Missmer, Jorge E. Chavarro, Jaime E. Hart, J J Cheng, and Shruthi Mahalingaiah
Subjects: Adult, Adolescent, Cross-sectional study, media_common.quotation_subject, 010501 environmental sciences, 01 natural sciences, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Recall bias, Air Pollution, Surveys and Questionnaires, Medicine, Humans, Young adult, Child, Menstrual cycle, Menstruation Disturbances, 0105 earth and related environmental sciences, media_common, Retrospective Studies, Menarche, Air Pollutants, 030219 obstetrics & reproductive medicine, business.industry, Rehabilitation, Obstetrics and Gynecology, Retrospective cohort study, Odds ratio, Environmental Exposure, Reproductive Medicine, Nurses' Health Study, Original Article, Female, business, Demography
Abstract: STUDY QUESTION: What is the association between perimenarchal exposure to total suspended particulate (TSP) in air, menstrual irregularity phenotypes and time to menstrual cycle regularity? SUMMARY ANSWER: Exposures to TSP during high school are associated with slightly increased odds of menstrual irregularity and longer time to regularity in high school and early adulthood. WHAT IS KNOWN ALREADY: The menstrual cycle is responsive to hormonal regulation. Particulate matter air pollution has demonstrated hormonal activity. However, it is not known if air pollution is associated with menstrual cycle regularity. STUDY DESIGN, SIZE, DURATION: Cross sectional study of 34 832 of the original 116 430 women (29.91%) enrolled in 1989 from the Nurses’ Health Study II (NHSII). The follow-up rate for this analytic sample was 97.76% at the 1991 survey. PARTICIPANTS/MATERIALS, SETTING, METHODS: Annual averages of TSP were available for each year of high school attendance. We created three case definitions including high school menstrual irregularity and androgen excess. The time to menstrual cycle regularity was reported by participants as
Published: 2018

14. [Association between body weight change during early and middle adulthood and the risk of type 2 diabetes in middle aged and elderly population]

Author: Q, Hu, C Q, Jiang, W S, Zhang, J J, Cheng, L, Xu, Y L, Jin, Z M, Shen, F, Zhu, and D Q, Lam
Subjects: Adult, Aged, 80 and over, Male, Body Weight, Middle Aged, Overweight, Weight Gain, Body Mass Index, Cohort Studies, Logistic Models, Diabetes Mellitus, Type 2, Risk Factors, Population Surveillance, Weight Loss, Prevalence, Humans, Female, Obesity, Exercise, Aged
Published: 2018

15. Large resistive switching in Pt/BNT/HfO2/Pt capacitors

Author: Zhong Xiangli, Gaokuo Zhong, Hongjia Song, J. B. Wang, and J. J. Cheng
Subjects: Materials science, business.industry, Orders of magnitude (temperature), General Chemical Engineering, General Chemistry, law.invention, Capacitor, Dielectric layer, law, Resistive switching, Ferroelectric thin films, Conductive filament, Optoelectronics, Crystallite, business
Abstract: A large resistive switching (RS) of 4 orders of magnitude is observed in Pt/Bi3.15Nd0.85Ti3O12(BNT)/HfO2/Pt capacitors. The studies of the polarization–voltage loop, capacitance–voltage loop, the fitting current–voltage data, and the current–temperature curves suggest that the RS is mainly induced by the formation/rupture of the conductive filament which is induced by inserting the HfO2 dielectric layer in the Pt/BNT/Pt capacitor. The results demonstrate a possibility to control the RS characteristics by modulating the RS mechanism in the polycrystalline ferroelectric thin films.
Published: 2014
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16. Electrochemical Properties of Cu6Sn5 Anode by Quick Annealing of Sn/Cu Multilayer Film for Lithium-Ion Batteries

Author: Y. Pan, J. J. Cheng, Z. S. Ma, Dongfeng Xue, Y. Q. Gong, Y. C. Zhou, F. W. Cao, and W. X. Lei
Subjects: Materials science, Annealing (metallurgy), Metallurgy, Electrochemistry, Ion, Anode
Published: 2013
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17. [Effectiveness of bupropion and counseling for smoking cessation]

Author: B, Jiang, Y, He, F, Zuo, L, Wu, Q H, Liu, L, Zhang, C X, Zhou, J J, Cheng, Z S, Chan Sc, and D Q, Lam
Subjects: Adult, Counseling, Male, China, Adrenergic Uptake Inhibitors, Smoking, Tobacco Use Disorder, Middle Aged, Ambulatory Care Facilities, Treatment Outcome, Surveys and Questionnaires, Humans, Female, Smoking Cessation, Prospective Studies, Bupropion, Follow-Up Studies
Abstract: To evaluate the effectiveness of bupropion for smoking cessation among Chinese smokers at a smoking cessation clinic.A prospective observational study was conducted in a hospital located in Beijing during 2008 and from 28 to 31 October 2014. A total of 287 smokers (265 men and 22 women) were assessed using data from structured questionnaires at baseline and were followed up at 1 and 6 months. Trained physician counselors provided free brief education and individual counseling sessions for all participants at the first visit. A total 131 participants were prescribed bupropion in addition to counseling. The counseling plus bupropion group was compared with the group who underwent counseling without bupropion. Outcomes were self-reported 7-day point prevalence abstinence rates at 1- and 6-month follow-up and continuous abstinence rates at 6-month follow-up. Smoking reduction rates at 1 and 6 months were also measured.By intention-to-treat analysis, the 7-day point prevalence abstinence rate of the bupropion group at 1 and 6 months was higher than for the counseling-only group: at 1-month follow-up, 26.0% (34/131) vs. 15.4% (24/156), with OR (95% CI) 1.93(1.07-3.46); these rates at 6-month follow-up were 27.8% (35/131) vs. 15.4% (24/156), with OR (95% CI) 2.01(1.12-3.59). The 1-month continuous abstinence rate at 6 months was higher in the bupropion group: 26.0% (34/131) vs. 14.7% (23/156), with OR (95%CI) 2.03(1.12-3.66). Participants in the bupropion group also had a higher smoking reduction rate at 1 month than those in the counseling-only group: 55.0% (72/131) vs. 38.5% (60/156), with OR (95%CI) 1.95 (1.22-3.13).Prescription of bupropion at this smoking cessation clinic was effective in doubling the quitting rates and smoking reduction rates among Chinese smokers.
Published: 2016

18. Technical Note: Nutrient Removal from Swine Wastewater by Growing Duckweed: A Pilot Study

Author: Anne-Marie Stomp, J. Xu, and J. J. Cheng
Subjects: biology, Biomedical Engineering, Environmental engineering, Soil Science, Forestry, Technical note, biology.organism_classification, Protein content, chemistry.chemical_compound, Nutrient, Wastewater, Agronomy, chemistry, Swine wastewater, Spirodela, Environmental science, Ammonium, Agronomy and Crop Science, Food Science, Field conditions
Abstract: A pilot-scale duckweed pond was installed and integrated into the existing swine wastewater management system of a swine farm in Zebulon, North Carolina to investigate its effectiveness in removing nutrients from anaerobically treated swine wastewater. The nutrient-rich wastewater was added intermittently into the duckweed pond to maintain an ammonium (NH4-N) concentration of about 20 mg L-1, and the duckweed was harvested regularly to ultimately remove nutrients from the water body. The results show that duckweed (Spirodela polyrrhiza) grew rapidly on swine wastewater under field conditions, with a dry biomass yield of 10.7 g m-2 d-1 in August and September. Over the 16-week experimental period, NH4-N, the major nutrient concern in swine wastewater, was removed at 1.12 g m-2 d-1. The fast duckweed growth and an average duckweed protein content of 26.3% enabled a protein yield of 2.11 g m-2 d-1 throughout the experiment.
Published: 2012
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19. Forest community analysis in the Songshan national nature reserve of China using self-organizing map

Author: J. J. Cheng, Jin-Tun Zhang, Suriguga, Qindi Zhang, S. G. Tian, S. J. Liu, and B. Zhang
Subjects: Self-organizing map, Geography, Ecology, Community analysis, Ecology (disciplines), Elevation, Forestry, Vegetation, China, Ecology, Evolution, Behavior and Systematics, National nature reserve
Abstract: The forest communities in the Songshan National Nature Reserve (SNNR) of China were analyzed by using self-organizing map (SOM). Seven types of vegetation were defined by SOM, and represented the panorama of forest communities in the SNNR. The classification of samples and species contribution was consistent. SOM classification and the dominant species visualization in the forest community data in SNNR reflected the impact of the environmental factors, such as elevation, and slope.
Published: 2011
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20. Starch Accumulation in Duckweed for Bioethanol Production

Author: A. M. Stomp, J. Xu, W. Cui, and J. J. Cheng
Subjects: Materials science, biology, Starch, Daily light integral, food and beverages, Biomass, Bioengineering, biology.organism_classification, chemistry.chemical_compound, Nutrient, Agronomy, chemistry, Biofuel, Spirodela, Ethanol fuel, Ammonium, Food science, Food Science, Biotechnology
Abstract: In an effort to explore novel starch sources for fuel ethanol production, Spirodela polyrrhiza, a local duckweed strain in North Carolina, was studied at different growing conditions including temperature, nutrient level, and daily light integral (DLI) for starch accumulation. The results show that lower temperatures, nutrient starvation, and higher DLIs favor starch accumulation. At a DLI of 1.75 mol m-2 d-1 and an ammonium (NH4-N) concentration of 20 mg L-1, simply reducing the growing temperature from 20°C to 5°C caused an increase of duckweed starch content by 67.5% within four days. In transferring duckweed into well water, the highest starch content of 26.6% was achieved after four days at the combination of the lowest temperature of 5°C and the highest DLI of 2.33 mol m-2 d-1, which was three times as high as the starch content of untreated duckweed. During nutrient starvation, the protein content of duckweed decreased due to the rise in the proportion of starch in the duckweed biomass. The protein reduction could also be the result of the limited availability of nitrogen in the medium for protein synthesis.
Published: 2011
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21. Modeling of the EMRAS urban working group hypothetical scenario using the RESRAD-RDD methodology

Author: Sunita Kamboj, A. Wallo, J.-J. Cheng, C. Yu, and S. Domotor
Subjects: medicine.medical_specialty, Occupancy, Health, Toxicology and Mutagenesis, Air pollution, Disaster Planning, medicine.disease_cause, Urban area, Hazardous Substances, Radiation Protection, Radioecology, Radiation Monitoring, Radioactive contamination, medicine, Humans, Environmental Chemistry, Cities, Waste Management and Disposal, Environmental Restoration and Remediation, Aerosols, Hydrology, Air Pollutants, Radionuclide, geography, geography.geographical_feature_category, General Medicine, Models, Theoretical, Contamination, Atmospheric dispersion modeling, Pollution, Facility Design and Construction, Environmental science, Terrorism, Radioactive Hazard Release
Abstract: The RESRAD-RDD methodology was applied to model the short- and long-term radiation exposures after a hypothetical radiological dispersal device (RDD) event in an urban environment. It was assumed that an RDD event would result in outside surface contamination of the exterior walls and roofs of surrounding buildings, as well as associated paved areas and lawns. The contaminants also might move inside the buildings and deposit on floors and interior walls. Some important input parameters include occupancy factors, building characteristics, and weathering of surface contamination. The modeling results include predicted external dose rates, relative contributions from important surfaces, annual and cumulative doses, and radionuclide concentrations. Potential countermeasures evaluated include grass removal, soil removal, and washing of paved areas.
Published: 2009
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22. Modelling the long-term consequences of a hypothetical dispersal of radioactivity in an urban area including remediation alternatives

Author: W.T. Hwang, José M. Tomás, Jan Christian Kaiser, Sunita Kamboj, C. Yu, Michael Steiner, B. Batandjieva, J.-J. Cheng, K.M. Thiessen, D. Trifunovic, and Kasper Grann Andersson
Subjects: geography, Environmental modelling, geography.geographical_feature_category, Environmental remediation, business.industry, Health, Toxicology and Mutagenesis, Environmental resource management, General Medicine, Models, Theoretical, Urban area, Pollution, Term (time), Radioactivity, Environmental protection, Environmental Chemistry, Biological dispersal, Environmental science, Cities, Dose rate, business, Waste Management and Disposal, Environmental Restoration and Remediation
Abstract: The Urban Remediation Working Group of the International Atomic Energy Agency's EMRAS (Environmental Modelling for Radiation Safety) program was organized to address issues of remediation assessment modelling for urban areas contaminated with dispersed radionuclides. The present paper describes the second of two modelling exercises. This exercise was based on a hypothetical dispersal of radioactivity in an urban area from a radiological dispersal device, with reference surface contamination at selected sites used as the primary input information. Modelling endpoints for the exercise included radionuclide concentrations and external dose rates at specified locations, contributions to the dose rates from individual surfaces, and annual and cumulative external doses to specified reference individuals. Model predictions were performed for a "no action" situation (with no remedial measures) and for selected countermeasures. The exercise provided an opportunity for comparison of three modelling approaches, as well as a comparison of the predicted effectiveness of various countermeasures in terms of their short-term and long-term effects on predicted doses to humans.
Published: 2009
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23. Findings and recommendations from an international comparison of models and approaches for the estimation of radiological exposure to non-human biota

Author: D. Telleria, Tamara L. Yankovich, J.-J. Cheng, Justin Brown, R. Heling, J. Vives i Batlle, Ali Hosseini, C. Yu, Brenda J. Howard, G. Olyslaegers, Sunita Kamboj, Tatiana G. Sazykina, Sergey P. Gaschak, Catherine L. Barnett, Jim T. Smith, J. Horyna, T. Nedveckaite, David Copplestone, Michael Wood, J. L. Hingston, Nicholas A. Beresford, Karine Beaugelin-Seiller, and A. I. Kryshev
Subjects: Estimation, Toxicology, Nuclear Energy and Engineering, Renewable Energy, Sustainability and the Environment, Health, Toxicology and Mutagenesis, Radiological weapon, Non human biota, Public Health, Environmental and Occupational Health, Environmental science, Biota, Safety, Risk, Reliability and Quality, Waste Management and Disposal, Environmental planning
Abstract: There is general international acceptance of the need to demonstrate that the environment is protected from ionising radiation. In some countries requirements and guidelines for the protection of non-human biota are already in place. As a consequence a number of models and approaches have been proposed for the estimation of the exposure of non-human biota to ionising radiation. The IAEA EMRAS programme's Biota Working Group has conducted the most comprehensive intercomparison of the predictions of these approaches to date. In this paper, we present an overview of the activities of the Biota Working Group concentrating on its conclusions and recommendations.
Published: 2009
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24. RESRAD-OFFSITE – A new member of the RESRAD family of codes

Author: A. Wallo, B. M. Biwer, E. Gnanapragasam, A. Zielen, W. A. Williams, S. Domotor, T. Klett, C. Yu, Sunita Kamboj, and J.-J. Cheng
Subjects: medicine.medical_specialty, Contaminated soils, Waste management, Renewable Energy, Sustainability and the Environment, business.industry, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Toxicology, Dose limit, Radioecology, Nuclear Energy and Engineering, Radiological weapon, medicine, Environmental science, Radiation protection, Safety, Risk, Reliability and Quality, business, Cancer risk, Waste Management and Disposal
Abstract: The RESRAD-OFFSITE code provides expanded state-of-the art, cost-effective, and user-friendly methods for evaluating the radiological consequences to a receptor located onsite or outside the area of primary contamination. It calculates radiological dose and excess lifetime cancer risk with the predicted radionuclide concentrations in the environment, and derives soil cleanup guidelines corresponding to a specified dose limit. The RESRAD-OFFSITE code is an extension of the RESRAD (onsite) code, which has been widely used for calculating doses and risks from exposure to radioactively contaminated soils. The development of RESRAD-OFFSITE started more than 10 years ago, but new models and methodologies have been developed, tested, and incorporated since then. Some of the new models have been benchmarked against other independently developed (international) models. The databases used have also expanded to include all the radionuclides (more than 830) contained in the International Commission on Radiological Protection (ICRP) 38 database. Detailed information on the design and application of the RESRAD-OFFSITE code is presented in its recently published User's Manual.
Published: 2009
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25. Inter-comparison of models to estimate radionuclide activity concentrations in non-human biota

Author: S.R. Jones, R. Saxén, T. Yankovich, David Copplestone, Nicholas A. Beresford, S. Vives-Lynch, Brenda J. Howard, A. I. Kryshev, Sunita Kamboj, J. Vives i Batlle, G. Olyslaegers, Catherine L. Barnett, Ali Hosseini, T. Nedveckaite, V. Filistovic, J.-J. Cheng, Justin Brown, C. Yu, and Tatiana G. Sazykina
Subjects: Biophysics, Radiation Dosage, Models, Biological, Sensitivity and Specificity, Component (UML), Range (statistics), Animals, Humans, Computer Simulation, Radiometry, Ecosystem, General Environmental Science, Data source, Radionuclide, Radiation, Environmental modelling, business.industry, Ecology, Environmental resource management, Reproducibility of Results, Biodiversity, Orders of magnitude (voltage), Active participation, Non human biota, Environmental science, Radiopharmaceuticals, business
Abstract: A number of models have recently been, or are currently being, developed to enable the assessment of radiation doses from ionising radiation to non-human species. A key component of these models is the ability to predict whole-organism activity concentrations in a wide range of wildlife. In this paper, we compare the whole-organism activity concentrations predicted by eight models participating within the IAEA Environmental Modelling for Radiation Safety programme for a range of radionuclides to terrestrial and freshwater organisms. In many instances, there was considerable variation, ranging over orders of magnitude, between the predictions of the different models. Reasons for this variability (including methodology, data source and data availability) are identified and discussed. The active participation of groups responsible for the development of key models within this exercise is a useful step forward in providing the transparency in methodology and data provenance required for models which are either currently being used for regulatory purposes or which may be used in the future. The work reported in this paper, and supported by other findings, demonstrates that the largest contribution to variability between model predictions is the parameterisation of their transfer components. There is a clear need to focus efforts and provide authoritative compilations of those data which are available.
Published: 2008
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26. Web-Based Training Course for Evaluating Radiological Dose Assessment in NRC’s License Termination Process

Author: Sunita Kamboj, John J. Arnish, S. Y. Chen, Cynthia S. Barr, C. McKenney, J.-J. Cheng, P. Richmond, and D. LePoire
Subjects: Safety Management, business.product_category, Glossary, Epidemiology, Computer science, Health, Toxicology and Mutagenesis, Population, Radiation Dosage, Risk Assessment, Nuclear decommissioning, law.invention, Radiation Protection, Radiation Monitoring, law, Nuclear power plant, Internet access, Humans, Web application, Radiology, Nuclear Medicine and imaging, education, License, Internet, education.field_of_study, business.industry, Nuclear power, United States, Engineering management, business, Licensure, Software, Power Plants
Abstract: As part of the requirement for terminating the licenses of nuclear power plants or other nuclear facilities, license termination plans or decommissioning plans are submitted by the licensee to the U.S. Nuclear Regulatory Commission (NRC) for review and approval. Decommissioning plans generally refer to the decommissioning of nonreactor facilities, while license termination plans specifically refer to the decommissioning of nuclear reactor facilities. To provide a uniform and consistent review of dose modeling aspects of these plans and to address NRC-wide knowledge management issues, the NRC, in 2006, commissioned Argonne National Laboratory to develop a Web-based training course on reviewing radiological dose assessments for license termination. The course, which had first been developed in 2005 to target specific aspects of the review processes for license termination plans and decommissioning plans, evolved from a live classroom course into a Web-based training course in 2006. The objective of the Web-based training course is to train NRC staff members (who have various relevant job functions and are located at headquarters, regional offices, and site locations) to conduct an effective review of dose modeling in accordance with the latest NRC guidance, including NUREG-1757, Volumes 1 and 2. The exact size of the staff population who will receive the training has not yet been accurately determined but will depend on various factors such as the decommissioning activities at the NRC. This Web-based training course is designed to give NRC staff members modern, flexible access to training. To this end, the course is divided into 16 modules: 9 core modules that deal with basic topics, and 7 advanced modules that deal with complex issues or job-specific topics. The core and advanced modules are tailored to various NRC staff members with different job functions. The Web-based system uses the commercially available software Articulate, which incorporates audio, video, and animation in slide presentations and has glossary, document search, and Internet connectivity features. The training course has been implemented on an NRC system that allows staff members to register, select courses, track records, and self-administer quizzes.
Published: 2008
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27. Inter-comparison of dynamic models for radionuclide transfer to marine biota in a Fukushima accident scenario

Author: C. Yu, J.-J. Cheng, Justin Brown, David J. LePoire, D.-K. Keum, Vladimir Maderich, Kyung-Suk Suh, Céline Duffa, J. Vives i Batlle, Raúl Periáñez, Byung-Il Min, A. I. Kryshev, Nicholas A. Beresford, Roman Bezhenar, Mirjana Ćujić, Sunita Kamboj, Ali Hosseini, Kyung Tae Jung, Tatiana G. Sazykina, Snežana Dragović, Karine Beaugelin-Seiller, C. Wang, Bruno Fiévet, R. Heling, NERC Centre for Ecology and Hydrology, Lancaster Environment Centre, Lancaster University-Lancaster University, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Norwegian Radiation Protection Authority, Argonne National Laboratory [Lemont] (ANL), University of Belgrade [Belgrade], Korea Institute of Ocean Science and Technology (KIOST), Korea Atomic Energy Research Institute [Daejeon, south Korea] (KAERI), University of Sevilla, NRG Netherland, Universidad de Sevilla. Departamento de Física Aplicada I, and Universidad de Sevilla. RNM138: Física Nuclear Aplicada
Subjects: Aquatic Organisms, Water Pollutants, Radioactive, 010504 meteorology & atmospheric sciences, Health, Toxicology and Mutagenesis, 010501 environmental sciences, Atmospheric sciences, Dynamic model, 01 natural sciences, Iodine Radioisotopes, Radiation Monitoring, Crustacea, Radionuclide transfer, Environmental Chemistry, Animals, Fukushima, Waste Management and Disposal, 0105 earth and related environmental sciences, Radionuclide, Fishes, Sediment, Biota, General Medicine, Radionuclide uptake, Models, Theoretical, Seaweed, Pollution, Hydrodynamic models, Dynamic models, 13. Climate action, Cesium Radioisotopes, Mollusca, Environmental chemistry, [SDE]Environmental Sciences, Marine biota, Strontium Radioisotopes, Environmental science, Radiation monitoring, Seawater, Dose rate, MODARIA
Abstract: We report an inter-comparison of eight models designed to predict the radiological exposure of radionuclides in marine biota. The models were required to simulate dynamically the uptake and turnover of radionuclides by marine organisms. Model predictions of radionuclide uptake and turnover using kinetic calculations based on biological half-life (T-B1/2) and/or more complex metabolic modelling approaches were used to predict activity concentrations and, consequently, dose rates of Sr-90, I-131 and Cs-137 to fish, crustaceans, macroalgae and molluscs under circumstances where the water concentrations are changing with time. For comparison, the ERICA Tool, a model commonly used in environmental assessment, and which uses equilibrium concentration ratios, was also used. As input to the models we used hydrodynamic forecasts of water and sediment activity concentrations using a simulated scenario reflecting the Fukushima accident releases. Although model variability is important, the intercomparison gives logical results, in that the dynamic models predict consistently a pattern of delayed rise of activity concentration in biota and slow decline instead of the instantaneous equilibrium with the activity concentration in seawater predicted by the ERICA Tool. The differences between ERICA and the dynamic models increase the shorter the T-B1/2 becomes; however, there is significant variability between models, underpinned by parameter and methodological differences between them. The need to validate the dynamic models used in this intercomparison has been highlighted, particularly in regards to optimisation of the model biokinetic parameters. (C) 2015 Elsevier Ltd. All rights reserved.
Published: 2015
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28. Data Collection Handbook to Support Modeling Impacts of Radioactive Material in Soil and Building Structures

Author: J.-J. Cheng, C. Yu, Sunita Kamboj, and Cheng Wang
Subjects: Engineering, Data collection, Operations research, business.industry, Radioactive waste, Pathway analysis, business, Civil engineering
Abstract: This handbook is an update of the 1993 version of the Data Collection Handbook and the Radionuclide Transfer Factors Report to support modeling the impact of radioactive material in soil. Many new parameters have been added to the RESRAD Family of Codes, and new measurement methodologies are available. A detailed review of available parameter databases was conducted in preparation of this new handbook. This handbook is a companion document to the user manuals when using the RESRAD (onsite) and RESRAD-OFFSITE code. It can also be used for RESRAD-BUILD code because some of the building-related parameters are included in this handbook. The RESRAD (onsite) has been developed for implementing U.S. Department of Energy Residual Radioactive Material Guidelines. Hydrogeological, meteorological, geochemical, geometrical (size, area, depth), crops and livestock, human intake, source characteristic, and building characteristic parameters are used in the RESRAD (onsite) code. The RESRAD-OFFSITE code is an extension of the RESRAD (onsite) code and can also model the transport of radionuclides to locations outside the footprint of the primary contamination. This handbook discusses parameter definitions, typical ranges, variations, and measurement methodologies. It also provides references for sources of additional information. Although this handbook was developed primarily to support the application ofmore » RESRAD Family of Codes, the discussions and values are valid for use of other pathway analysis models and codes.« less
Published: 2015
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29. Verification of RESRAD-RDD. (Version 2.01)

Author: C. Yu, J.-J. Cheng, David J. LePoire, Paul E. Flood, and Sunita Kamboj
Subjects: Numerical precision, Set (abstract data type), business.industry, Computer science, Microsoft excel, Data mining, computer.software_genre, Base (topology), business, computer, Algorithm, Graphical user interface
Abstract: In this report, the results generated by RESRAD-RDD version 2.01 are compared with those produced by RESRAD-RDD version 1.7 for different scenarios with different sets of input parameters. RESRAD-RDD version 1.7 is spreadsheet-driven, performing calculations with Microsoft Excel spreadsheets. RESRAD-RDD version 2.01 revamped version 1.7 by using command-driven programs designed with Visual Basic.NET to direct calculations with data saved in Microsoft Access database, and re-facing the graphical user interface (GUI) to provide more flexibility and choices in guideline derivation. Because version 1.7 and version 2.01 perform the same calculations, the comparison of their results serves as verification of both versions. The verification covered calculation results for 11 radionuclides included in both versions: Am-241, Cf-252, Cm-244, Co-60, Cs-137, Ir-192, Po-210, Pu-238, Pu-239, Ra-226, and Sr-90. At first, all nuclidespecific data used in both versions were compared to ensure that they are identical. Then generic operational guidelines and measurement-based radiation doses or stay times associated with a specific operational guideline group were calculated with both versions using different sets of input parameters, and the results obtained with the same set of input parameters were compared. A total of 12 sets of input parameters were used for the verification, and the comparison wasmore » performed for each operational guideline group, from A to G, sequentially. The verification shows that RESRAD-RDD version 1.7 and RESRAD-RDD version 2.01 generate almost identical results; the slight differences could be attributed to differences in numerical precision with Microsoft Excel and Visual Basic.NET. RESRAD-RDD version 2.01 allows the selection of different units for use in reporting calculation results. The results of SI units were obtained and compared with the base results (in traditional units) used for comparison with version 1.7. The comparison shows that RESRAD-RDD version 2.01 correctly reports calculation results in the unit specified in the GUI.« less
Published: 2015
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30. RADIOACTIVE MATERIALS IN BIOSOLIDS: DOSE MODELING

Author: R Hogan, T Lenhartt, L.W. Setlow, A. Jones, A. B. Wolbarst, A Rubin, J.-J. Cheng, C. Yu, K Aiello, Sunita Kamboj, S.N. Salomon, D.W. Schmidt, Robert K. Bastian, J. Goodman, Weihsueh A. Chiu, W R. Ott, and J.T. Bachmaier
Subjects: Sewage, Waste management, Biosolids, Epidemiology, business.industry, Health, Toxicology and Mutagenesis, Radioactive waste, Models, Theoretical, Radiation Dosage, Risk Assessment, Refuse Disposal, Incineration, Environmental monitoring, Environmental science, Radiology, Nuclear Medicine and imaging, Environmental impact assessment, business, Publicly owned treatment works, Sludge, Environmental Monitoring, Radioactive Pollutants, Nuclear chemistry
Abstract: The Interagency Steering Committee on Radiation Standards (ISCORS) has recently completed a study of the occurrence within the United States of radioactive materials in sewage sludge and sewage incineration ash. One component of that effort was an examination of the possible transport of radioactivity from sludge into the local environment and the subsequent exposure of humans. A stochastic environmental pathway model was applied separately to seven hypothetical, generic sludge-release scenarios, leading to the creation of seven tables of Dose-to-Source Ratios (DSR), which can be used in translating from specific activity in sludge into dose to an individual. These DSR values were then combined with the results of an ISCORS survey of sludge and ash at more than 300 publicly owned treatment works, to explore the potential for radiation exposure of sludge workers and members of the public. This paper provides a brief overview of the pathway modeling methodology employed in the exposure and dose assessments and discusses technical aspects of the results obtained.
Published: 2006
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31. Critical Buckling Strain Equations for Energy Pipelines—A Parametric Study

Author: David Murray, Alfred B. Dorey, and J. J. Cheng
Subjects: Engineering, business.industry, Mechanical Engineering, Internal pressure, Ocean Engineering, Structural engineering, Curvature, Finite element method, Moment (mathematics), Stress (mechanics), Pipeline transport, Buckling, business, Parametric statistics
Abstract: A recent review of available predictive critical buckling strain equations for segments of line pipe has shown that the equations give poor test-to-predicted ratios when validated using the more than 50 full-scale experimental pipeline test results available in the University of Alberta (U of A) database (Dorey, A. B., Murray, D. W., and Cheng, J. J. R., 2000, “An Experimental Comparison of Critical Buckling Strain Criteria,” Proceeding of the International Pipeline Conference, Calgary, Alberta, Oct. 1–5, ASME, New York, pp. 71–77, Paper No. IPC00-0157.). The pipeline specimens in the experimental database were subjected to a combination of axial load, internal pressure, and monotonically increasing curvature with magnitudes representative of those that might be experienced under field operating conditions. Research has been undertaken at the U of A to develop more reliable equations and a database of over 200 experimental and numerical results now exists. The numerical results were generated using a nonlinear finite element analysis (FEA) model that was validated using the experimental database. The FEA model provided a mean test-to-predicted ratio for the peak moment capacity of 1.025 with a coefficient of variation of 0.040 and a mean test-to-predicted ratio for the local critical buckling strain of 0.997 with a coefficient of variation of 0.067 (Dorey, A. B., Murray, D. W., and Cheng, J. J. R., 2005b, “A Comparison of Experimental and FEA Results for Segments of Line Pipe Under Combined Loads,” ASME J. Offshore Mech. Arct. Eng., in press.) for the 162 load cases analyzed. This paper presents the new predictive critical buckling strain equations developed from the U of A database.
Published: 2005
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32. Initial Imperfection Models for Segments of Line Pipe

Author: J. J. Cheng, Alfred B. Dorey, and David Murray
Subjects: Engineering, business.industry, Mechanical Engineering, Shell (structure), Internal pressure, Ocean Engineering, Structural engineering, Curvature, Finite element method, Stress (mechanics), Buckling, Line (geometry), Bending moment, business
Abstract: Initial imperfections have long been acknowledged as having an effect on the behavior of shell structures, affecting both the global and local behavior. Yet, despite their significance, initial imperfections are rarely included in analytical models for pipelines. This is usually because of the complicated nature of initial imperfections, the difficulty in measuring them, and the small amount of available literature that describes their geometry. Some recent investigations at the University of Alberta in Edmonton have focused on the effect of initial imperfections on the behavior of segments of line pipe. Imperfections measured across the inside surface of pipe test specimens were incorporated into a finite element model that was developed to predict the experimental behavior of the specimens tested under combined loads of internal pressure, axial load and bending moment. Test-to-predicted ratios for the load carrying capacity of the test specimens had a mean value of 1.035 with a coefficient of variation of 0.047. The improvements in the accuracy of the finite element analysis models that include the initial imperfection pattern indicate their importance in modeling the experimental behavior. Once the importance of initial imperfections was established, idealized patterns were developed to simplify numerical modeling. This paper presents the results of different patterns investigated for both plain and girth-welded segments of line pipe and provides recommended simplified assumed initial imperfection patterns.
Published: 2005
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33. Deterministic vs. Probabilistic Analyses to Identify Sensitive Parameters in Dose Assessment Using RESRAD

Author: C. Yu, J.-J. Cheng, and Sunita Kamboj
Subjects: Safety Management, Percentile, Source code, Epidemiology, Health, Toxicology and Mutagenesis, media_common.quotation_subject, Radiation Dosage, Residual, Models, Biological, Risk Assessment, Set (abstract data type), Radiation Protection, Probabilistic method, Waste Management, Radiation Monitoring, Risk Factors, Statistics, Range (statistics), Humans, Computer Simulation, Radiology, Nuclear Medicine and imaging, Sensitivity (control systems), Decontamination, Mathematics, media_common, Radioisotopes, Models, Statistical, Probabilistic logic, Agriculture, United States, Body Burden, Environmental Pollution, Relative Biological Effectiveness
Abstract: The dose assessments for sites containing residual radioactivity usually involve the use of computer models that employ input parameters describing the physical conditions of the contaminated and surrounding media and the living and consumption patterns of the receptors in analyzing potential doses to the receptors. The precision of the dose results depends on the precision of the input parameter values. The identification of sensitive parameters that have great influence on the dose results would help set priorities in research and information gathering for parameter values so that a more precise dose assessment can be conducted. Two methods of identifying site-specific sensitive parameters, deterministic and probabilistic, were compared by applying them to the RESRAD computer code for analyzing radiation exposure for a residential farmer scenario. The deterministic method has difficulty in evaluating the effect of simultaneous changes in a large number of input parameters on the model output results. The probabilistic method easily identified the most sensitive parameters, but the sensitivity measure of other parameters was obscured. The choice of sensitivity analysis method would depend on the availability of site-specific data. Generally speaking, the deterministic method would identify the same set of sensitive parameters as the probabilistic method when 1) the baseline values used in the deterministic method were selected near the mean or median value of each parameter and 2) the selected range of parameter values used in the deterministic method was wide enough to cover the 5th to 95th percentile values from the distribution of that parameter.
Published: 2005
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34. Dopamine efflux in nucleus accumbens shell and core in response to appetitive classical conditioning

Author: Matthijs G. P. Feenstra, J. J. Cheng, J. P. C. De Bruin, and Other departments
Subjects: Male, Microdialysis, Time Factors, Dopamine, media_common.quotation_subject, Conditioning, Classical, Appetite, Motor Activity, Stimulus (physiology), Nucleus accumbens, Nucleus Accumbens, Reaction Time, medicine, Animals, Rats, Wistar, Reinforcement, media_common, Behavior, Animal, General Neuroscience, Addiction, Classical conditioning, Rats, Conditioning, Psychology, Neuroscience, medicine.drug
Abstract: Dopamine transmission within the nucleus accumbens has been implicated in associative reinforcement learning. We investigated the effect of appetitive classical conditioning on dopamine efflux in the rat nucleus accumbens shell and core, as dopamine may be differentially activated by conditioned and unconditioned stimuli (CS, US) in these subregions. After implantation of microdialysis cannulae, rats were food restricted and trained for three consecutive days with three acquisition sessions per day. A 10-s noise (CS) was immediately followed by the delivery of two reward pellets (US) for the conditioned group (paired presentation), whereas conditioned stimuli and unconditioned stimuli were presented at random for the control group (unpaired presentation). On the fourth day, all rats were given a further CS + US session and two CS-alone sessions, and extracellular dopamine concentrations were measured (7.5 min/per sample). Behavioural measures (number of nose pokes, latency to nose poke after conditioned stimuli onset, locomotor activity) demonstrated that the paired groups showed a high level of conditioning. CS + US presentation increased dopamine equally in both shell and core of the paired and unpaired groups. CS alone presentation induced a conditioned dopamine release only in the paired groups. No significant difference was found between shell and core. Unlike previous conditioning paradigms involving either a more salient US (foot shock, addictive drug) or a more complex CS, the present paradigm, using normal reward pellets as US and a discrete auditory stimulus as CS, did not lead to differential responses in dopamine efflux in shell and core subregions of the nucleus accumbens.
Published: 2003
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35. Probabilistic Approach to Identify Sensitive Parameter Distributions in Multimedia Pathway Analysis

Author: David J. LePoire, T. Mo, M. Thaggard, E. Gnanapragasam, John J. Arnish, R. Abu-Eid, S. Y. Chen, Sunita Kamboj, J.-J. Cheng, Bruce M. Biwer, and C. Yu
Subjects: Environmental Engineering, Source code, Multimedia, General Chemical Engineering, media_common.quotation_subject, Probabilistic logic, Regression analysis, Geotechnical Engineering and Engineering Geology, computer.software_genre, Small set, Probabilistic method, Scatter plot, Linear regression, Probabilistic analysis of algorithms, computer, Water Science and Technology, media_common, Mathematics
Abstract: Sensitive parameter distributions were identified with the use of probabilistic analysis in the RESRAD computer code. RESRAD is a multimedia pathway analysis code designed to evaluate radiological exposures resulting from radiological contamination in soil. The dose distribution was obtained by using a set of default parameter distribution/values. Most of the variations in the output dose distribution could be attributed to uncertainty in a small set of input parameters that could be considered as sensitive parameter distributions. The identification of the sensitive parameters is a first step in the prioritization of future research and information gathering. When site-specific parameter distribution/values are available for an actual site, the same process should be used with these site-specific data. Regression analysis used to identify sensitive parameters indicated that the dominant pathways depended on the radionuclide and source configurations. However, two parameter distributions were sensitive for many radionuclides: the external shielding factor when external exposure was the dominant pathway and the plant transfer factor when plant ingestion was the dominant pathway. No single correlation or regression coefficient can be used alone to identify sensitive parameters in all the cases. The coefficients are useful guides, but they have to be used in conjunction with other aids,more » such as scatter plots, and should undergo further analysis.« less
Published: 2002
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36. Development of Probabilistic Multimedia Multipathway Computer Codes

Author: Sunita Kamboj, J.-J. Cheng, Bruce M. Biwer, Albin J. Zielen, Andy Wallo, John J. Arnish, Mark Thaggard, T. Mo, W. Alexander Williams, Emmanual Gnanapragasam, C. Yu, S. Y. Chen, Harold Peterson, David J. LePoire, and Rateb Abu-Eid
Subjects: Engineering, Environmental Engineering, Multimedia, Computer Applications, business.industry, General Chemical Engineering, Probabilistic logic, Listing (computer), Geotechnical Engineering and Engineering Geology, computer.software_genre, Residual, Ranking, Code (cryptography), Probability distribution, Probabilistic analysis of algorithms, business, computer, Water Science and Technology
Abstract: The deterministic multimedia dose/risk assessment codes RESRAD and RESRAD-BUILD have been widely used for many years for evaluation of sites contaminated with residual radioactive materials. The RESRAD code applies to the cleanup of sites ~soils! and the RESRAD-BUILD code applies to the cleanup of buildings and structures. This work describes the procedure used to enhance the deterministic RESRAD and RESRAD-BUILD codes for probabilistic dose analysis. A six-step procedure was used in developing default parameter distributions and the probabilistic analysis modules. These six steps include ~1! listing and categorizing parameters; ~2! ranking parameters; ~3! developing parameter distributions; ~4! testing parameter distributions for probabilistic analysis; ~5! developing probabi- listic software modules; and ~6! testing probabilistic modules and integrated codes. The procedures used can be applied to the develop- ment of other multimedia probabilistic codes. The probabilistic versions of RESRAD and RESRAD-BUILD codes provide tools for studying the uncertainty in dose assessment caused by uncertain input parameters. The parameter distribution data collected in this work can also be applied to other multimedia assessment tasks and multimedia computer codes.
Published: 2002
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37. Enhancing Memory via Stimulation

Author: William S. Anderson and J. J. Cheng
Subjects: business.industry, MEDLINE, Medicine, Surgery, Stimulation, Neurology (clinical), business, Neuroscience
Published: 2011
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38. Disappearance of Ising nature in Ca3ZnMnO6 studied by high-field ESR

Author: Zhengcai Xia, G H Rao, M.Y. Ruan, Hitoshi Ohta, Susumu Okubo, Y C Sun, Y M Guo, J J Cheng, and Z.W. Ouyang
Subjects: law.invention, Magnetics, law, Antiferromagnetism, General Materials Science, Computer Simulation, Anisotropy, Electron paramagnetic resonance, Condensed matter physics, Molecular Structure, Chemistry, Exchange interaction, Electron Spin Resonance Spectroscopy, Resonance, Oxides, Calcium Compounds, Condensed Matter Physics, Manganese Compounds, Models, Chemical, Superexchange, Zinc Compounds, Condensed Matter::Strongly Correlated Electrons, Ising model, Spin Labels, Spin canting
Abstract: High-field electron spin resonance measurements of an antiferromagnet Ca3ZnMnO6 isostructure, with the Ising-chain multiferroic Ca3CoMnO6, have been carried out. Two distinct resonance modes were observed below TN = 25 K, which is well explained by conventional antiferromagnetic resonance theory with easy-plane anisotropy. The zero-field spin gap is derived to be about 166 GHz, originating from the easy-plane anisotropy and exchange interaction. Our result suggests that the Dzyaloshinsky-Moriya interaction, which may induce spin canting, is absent. Disappearance of Ising anisotropy in Ca3ZnMnO6 suggests that the Co(4+) ion, as well as the Co-Mn superexchange, plays an important role for the Ising nature in Ca3CoMnO6.
Published: 2014

39. Modulation of Ras/Raf/Extracellular Signal–Regulated Kinase Pathway by Reactive Oxygen Species Is Involved in Cyclic Strain–Induced Early Growth Response-1 Gene Expression in Endothelial Cells

Author: B. S. Wung, Y. J. Chao, J. J. Cheng, Hsyue-Jen Hsieh, and Danny Ling Wang
Subjects: Transcriptional Activation, MAPK/ERK pathway, Serum Response Factor, Physiology, Mutant, Gene Expression, Biology, ELK1, Genes, Reporter, Gene expression, Serum response factor, Animals, RNA, Messenger, Promoter Regions, Genetic, Protein kinase A, Aorta, Cells, Cultured, Mitogen-Activated Protein Kinase 1, Platelet-Derived Growth Factor, Kinase, Nuclear Proteins, Zinc Fingers, Hydrogen Peroxide, Molecular biology, DNA-Binding Proteins, Proto-Oncogene Proteins c-raf, Calcium-Calmodulin-Dependent Protein Kinases, ras Proteins, Cattle, Endothelium, Vascular, Signal transduction, Extracellular Space, Reactive Oxygen Species, Cardiology and Cardiovascular Medicine, Signal Transduction, Transcription Factors
Abstract: Abstract —Endothelial cells (ECs) exposed to cyclic strain induce gene expression. To elucidate the signaling mechanisms involved, we studied the effects of cyclic strain on ECs by using early growth response-1 (Egr-1) as a target gene. Cyclic strain induced a transient increase of Egr-1 mRNA levels that resulted in an increase of binding of nuclear proteins to the Egr-1 binding sequences in the platelet-derived growth factor-A promoter region. ECs subjected to strain enhanced Egr-1 transcription as revealed by promoter activities. Catalase pretreatment inhibited this induction. ECs, transfected with a dominant positive mutant of Ras (RasL61), increased Egr-1 promoter activities. In contrast, transfection with a dominant negative mutant of Ras (RasN17) attenuated this strain inducibility. ECs transfected with a dominant negative mutant of Raf-1 (Raf301) or the catalytically inactive mutant of extracellular signal–regulated kinase (ERK)-2 (mERK2) diminished strain-induced promoter activities. However, little effect on strain inducibility was observed in ECs transfected with a dominant negative mutant of Rac (RacN17) or a catalytically inactive mutant of JNK (JNK[K-R]). Consistently, strain-induced Egr-1 expression was inhibited after ECs were treated with a specific inhibitor (PD98059) to mitogen-activated protein kinase kinase. Moreover, strain to ECs induced mitogen-activated protein kinase/ERK activity. The activation of the ERK pathway was further substantiated by an increase of strain-induced transcriptional activity of Elk1, an ERK substrate. This strain-induced ERK activity was attenuated after ECs were treated with N -acetylcysteine or catalase. Consequently, this Egr-1 gene induction was abolished after ECs were treated with N -acetylcysteine or catalase. Deletion analyses of the promoter region (–698 bp) indicated that cyclic strain and H 2 O 2 shared a common serum response element. Our data clearly indicate that cyclic strain–induced Egr-1 expression is mediated mainly via the Ras/Raf-1/ERK pathway and that strain-induced reactive oxygen species can modulate Egr-1 expression at least partially via this signaling pathway.
Published: 1999
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40. Cyclic Strain–Induced Monocyte Chemotactic Protein-1 Gene Expression in Endothelial Cells Involves Reactive Oxygen Species Activation of Activator Protein 1

Author: H. J. Hsieh, Being-Sun Wung, Danny Ling Wang, Y. J. Shyy, and J. J. Cheng
Subjects: Electrophoresis, Physiology, Molecular Sequence Data, Gene Expression, Biology, chemistry.chemical_compound, Superoxides, Gene expression, medicine, Humans, Promoter Regions, Genetic, Xanthine oxidase, Cells, Cultured, Chemokine CCL2, chemistry.chemical_classification, Reactive oxygen species, Base Sequence, Superoxide, Monocyte, Hemodynamics, Free Radical Scavengers, Blotting, Northern, Catalase, Acetylcysteine, Cell biology, Transcription Factor AP-1, Endothelial stem cell, medicine.anatomical_structure, chemistry, Biochemistry, Data Interpretation, Statistical, Tissue Plasminogen Activator, Luminescent Measurements, Second messenger system, RNA, Endothelium, Vascular, Stress, Mechanical, Signal transduction, Reactive Oxygen Species, Cardiology and Cardiovascular Medicine
Abstract: Abstract Endothelial cells (ECs) are constantly exposed to blood pressure–induced mechanical strain. We have previously demonstrated that cyclic strain can induce gene expression of monocyte chemotactic protein-1 (MCP-1). The molecular mechanisms of gene induction by strain, however, remain unclear. Recent evidence indicates that intracellular reactive oxygen species (ROS) can act as a second messenger for signal transduction and thus affect gene expression. The potential role of ROS in strain-induced MCP-1 expression was investigated. ECs under cyclic strain induced a sustained elevated production of intracellular superoxide. ECs under strain or pretreated with either H 2 O 2 or xanthine oxidase/hypoxanthine induced MCP-1 expression. Strain- or oxidant-induced MCP-1 mRNA levels could be inhibited by treating ECs with catalase or antioxidant N -acetyl-cysteine (NAC). Functional analysis of MCP-1 promoter and site-specific mutations indicates that the proximal tissue plasminogen activator–responsive element (TRE) in the −60-bp promoter region is sufficient for strain or H 2 O 2 inducibility. Electrophoretic mobility shift assays demonstrated an increase of nuclear proteins binding to TRE sequences from ECs subsequent to strain or H 2 O 2 treatment. NAC or catalase pretreatment of ECs inhibited the strain- or H 2 O 2 -induced AP-1 binding. These results clearly indicate that cyclic strain inducibility of MCP-1 in ECs uses the interaction of AP-1 proteins with TRE sites via the elevation of intracellular ROS levels in strained ECs. These findings emphasize the importance of intracellular ROS in the modulation of hemodynamic force–induced gene expression in vascular ECs.
Published: 1997
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41. New Source Term Model for the RESRAD-OFFSITE Code Version 3

Author: S. Y. Chen, Emmanuel K. Gnanapragasam, C. Yu, Sunita Kamboj, and J.-J. Cheng
Subjects: Programming language, Computer science, Code (cryptography), computer.software_genre, computer, Term (time)
Published: 2013
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42. Search for supersymmetry in pp collisions at root s=7 TeV in events with a single lepton, jets, and missing transverse momentum

Author: Chatrchyan, S. Khachatryan, V. Sirunyan, A. M. Tumasyan, A. and Adam, W. Bergauer, T. Dragicevic, M. Eroe, J. and Fabjan, C. Friedl, M. Fruehwirth, R. Ghete, V. M. and Hammer, J. Haensel, S. Hoch, M. Hoermann, N. Hrubec, J. and Jeitler, M. Kiesenhofer, W. Krammer, M. Liko, D. and Mikulec, I. Pernicka, M. Rahbaran, B. Rohringer, H. and Schoefbeck, R. Strauss, J. Taurok, A. Teischinger, F. and Wagner, P. Waltenberger, W. Walzel, G. Widl, E. Wulz, C. -E. Mossolov, V. Shumeiko, N. Gonzalez, J. Suarez and Bansal, S. Benucci, L. De Wolf, E. A. Janssen, X. Maes, J. Maes, T. Mucibello, L. Ochesanu, S. Roland, B. and Rougny, R. Selvaggi, M. Van Haevermaet, H. Van Mechelen, P. and Van Remortel, N. Blekman, F. Blyweert, S. D'Hondt, J. and Devroede, O. Suarez, R. Gonzalez Kalogeropoulos, A. and Maes, M. Van Doninck, W. Van Mulders, P. Van Onsem, G. P. and Villella, I. Charaf, O. Clerbaux, B. De Lentdecker, G. and Dero, V. Gay, A. P. R. Hammad, G. H. Hreus, T. and Marage, P. E. Thomas, L. Velde, C. Vander Vanlaer, P. and Adler, V. Cimmino, A. Costantini, S. Grunewald, M. and Klein, B. Lellouch, J. Marinov, A. Mccartin, J. and Ryckbosch, D. Thyssen, F. Tytgat, M. Vanelderen, L. and Verwilligen, P. Walsh, S. Zaganidis, N. Basegmez, S. and Bruno, G. Caudron, J. Ceard, L. Gil, E. Cortina De Jeneret, J. De Favereau Delaere, C. Favart, D. Giammanco, A. and Gregoire, G. Hollar, J. Lemaitre, V. Liao, J. and Militaru, O. Nuttens, C. Ovyn, S. Pagano, D. Pin, A. and Piotrzkowski, K. Schul, N. Beliy, N. Caebergs, T. and Daubie, E. Alves, G. A. Brito, L. De Jesus Damiao, D. and Pol, M. E. Souza, M. H. G. Alda Junior, W. L. Carvalho, W. and Da Costa, E. M. De Oliveira Martins, C. Fonseca De Souza, S. and Mundim, L. Nogima, H. Oguri, V. Prado Da Silva, W. L. and Santoro, A. Silva Do Amaral, S. M. Sznajder, A. and Bernardes, C. A. Dias, F. A. Fernandez Perez Tomei, T. R. and Gregores, E. M. Lagana, C. Marinho, F. Mercadante, P. G. and Novaes, S. F. Padula, Sandra S. Darmenov, N. Genchev, V. and Iaydjiev, P. Piperov, S. Rodozov, M. Stoykova, S. and Sul-Tanov, G. Tcholakov, V. Trayanov, R. Dimitrov, A. and Hadjiiska, R. Karadzhinova, A. Kozhuharov, V. Litov, L. and Mateev, M. Pavlov, B. Petkov, P. Bian, J. G. Chen, G. M. and Chen, H. S. Jiang, C. H. Liang, D. Liang, S. Meng, X. Tao, J. Wang, J. Wang, J. Wang, X. Wang, Z. and Xiao, H. Xu, M. Zang, J. Zhang, Z. Ban, Y. Guo, S. and Guo, Y. Li, W. Mao, Y. Qian, S. J. Teng, H. Zhu, B. Zou, W. Cabrera, A. Gomez Moreno, B. Ocampo Rios, A. A. Osorio Oliveros, A. F. Sanabria, J. C. Godinovic, N. and Lelas, D. Lelas, K. Plestina, R. Polic, D. Puljak, I. and Antunovic, Z. Dzelalija, M. Brigljevic, V. Duric, S. and Kadija, K. Morovic, S. Attikis, A. Galanti, M. Mousa, J. and Nicolaou, C. Ptochos, F. Razis, P. A. Finger, M. and Finger, Jr., M. Assran, Y. Kamel, A. Ellithi Khalil, S. and Mahmoud, M. A. Hektor, A. Kadastik, M. Muentel, M. and Raidal, M. Rebane, L. Tiko, A. Azzolini, V. Eerola, P. and Fedi, G. Czellar, S. Harkonen, J. Heikkinen, A. and Karimaki, V. Kinnunen, R. Kortelainen, M. J. Lampen, T. and Lassila-Perini, K. Lehti, S. Linden, T. Luukka, P. and Maenpaa, T. Tuominen, E. Tuominiemi, J. Tuovinen, E. and Ungaro, D. Wendland, L. Banzuzi, K. Karjalainen, A. and Korpela, A. Tuuva, T. Sillou, D. Besancon, M. Choudhury, S. Dejardin, M. Denegri, D. Fabbro, B. Faure, J. L. and Ferri, F. Ganjour, S. Gentit, F. X. Givernaud, A. Gras, P. de Monchenault, G. Hamel Jarry, P. Locci, E. Malcles, J. Marionneau, M. Millischer, L. Rander, J. Rosowsky, A. and Shreyber, I. Titov, M. Verrecchia, P. Baffioni, S. and Beaudette, F. Benhabib, L. Bianchini, L. Bluj, M. and Broutin, C. Busson, P. Charlot, C. Dahms, T. Dobrzynski, L. Elgammal, S. de Cassagnac, R. Granier Haguenauer, M. and Mine, P. Mironov, C. Ochando, C. Paganini, P. Sabes, D. and Salerno, R. Sirois, Y. Thiebaux, C. Wyslouch, B. and Zabi, A. Agram, J. -L. Andrea, J. Bloch, D. Bodin, D. and Brom, J-M. Cardaci, M. Chabert, E. C. 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Guragain, S. Hohlmann, M. Kalakhety, H. and Ralich, R. Vodopiyanov, I. Adams, M. R. Anghel, I. M. and Apanasevich, L. Bai, Y. Bazterra, V. E. Betts, R. R. and Callner, J. Cavanaugh, R. Dragoiu, C. Gauthier, L. and Gerber, C. E. Hofman, D. J. Khalatyan, S. Kunde, G. J. and Lacroix, F. Malek, M. O'Brien, C. Silkworth, C. and Silvestre, C. Smoron, A. Strom, D. Varelas, N. Akgun, U. and Albayrak, E. A. Bilki, B. Clarida, W. Duru, F. Lae, C. K. McCliment, E. Merlo, J. -P. Mermerkaya, H. and Mestvirishvili, A. Moeller, A. Nachtman, J. Newsom, C. R. and Norbeck, E. Olson, J. Onel, Y. Ozok, F. Sen, S. and Wetzel, J. Yetkin, T. Yi, K. Barnett, B. A. Blumenfeld, B. Bonato, A. Eskew, C. Fehling, D. Giurgiu, G. and Gritsan, A. V. Guo, Z. J. Hu, G. Maksimovic, P. and Rappoccio, S. Swartz, M. Tran, N. V. Whitbeck, A. and Baringer, P. Bean, A. Benelli, G. Grachov, O. Iii, R. P. Kenny Murray, M. Noonan, D. Sanders, S. Wood, J. S. and Zhukova, V. Barfuss, A. F. Bolton, T. Chakaberia, I. and Ivanov, A. Khalil, S. Makouski, M. Maravin, Y. Shrestha, S. Svintradze, I. Wan, Z. Gronberg, J. Lange, D. and Wright, D. Baden, A. Boutemeur, M. Eno, S. C. Ferencek, D. Gomez, J. A. Hadley, N. J. Kellogg, R. G. Kirn, M. and Lu, Y. Mignerey, A. C. Rossato, K. Rumerio, P. and Santanastasio, F. Skuja, A. Temple, J. Tonjes, M. B. and Tonwar, S. C. Twedt, E. Alver, B. Bauer, G. Bendavid, J. and Busza, W. Butz, E. Cali, I. A. Chan, M. Dutta, V. and Everaerts, P. Ceballos, G. Gomez Goncharov, M. Hahn, K. A. Harris, P. Kim, Y. Klute, M. Lee, Y. -J. Li, W. and Loizides, C. Luckey, P. D. Ma, T. Nahn, S. Paus, C. and Ralph, D. Roland, C. Roland, G. Rudolph, M. and Stephans, G. S. F. Stoeckli, F. Sumorok, K. Sung, K. and Velicanu, D. Wenger, E. A. Wolf, R. Xie, S. Yang, M. and Yilmaz, Y. Yoon, A. S. Zanetti, M. Cooper, S. I. and Cushman, P. Dahmes, B. De Benedetti, A. Dudero, P. R. and Franzoni, G. Haupt, J. Klapoetke, K. Kubota, Y. Mans, J. and Pastika, N. Rekovic, V. Rusack, R. 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Rodenburg, M. and Williams, G. Adam, N. Berry, E. Elmer, P. Gerbaudo, D. and Halyo, V. Hebda, P. Hunt, A. Jones, J. Laird, E. and Pegna, D. Lopes Marlow, D. Medvedeva, T. Mooney, M. and Olsen, J. Piroue, P. Quan, X. Safdi, B. Saka, H. and Stickland, D. Tully, C. Werner, J. S. Zuranski, A. and Acosta, J. G. Huang, X. T. Lopez, A. Mendez, H. and Oliveros, S. Vargas, J. E. Ramirez Zatserklyaniy, A. Alagoz, E. Barnes, V. E. Bolla, G. Borrello, L. Bortoletto, D. and De Mattia, M. Everett, A. Garfinkel, A. F. Gutay, L. and Hu, Z. Jones, M. Koybasi, O. Kress, M. Laasanen, A. T. and Leonardo, N. Liu, C. Maroussov, V. Merkel, P. and Miller, D. H. Neumeister, N. Shipsey, I. Silvers, D. and Svyatkovskiy, A. Yoo, H. D. Zablocki, J. Zheng, Y. and Jindal, P. Parashar, N. Boulahouache, C. Ecklund, K. M. and Geurts, F. J. M. Padley, B. P. Redjimi, R. Roberts, J. and Zabel, J. Betchart, B. Bodek, A. Chung, Y. S. Covarelli, R. de Barbaro, P. Demina, R. Eshaq, Y. Flacher, H. and Garcia-Bellido, A. Goldenzweig, P. Gotra, Y. Han, J. and Harel, A. Miner, D. C. Orbaker, D. Petrillo, G. and Sakumoto, W. Vishnevskiy, D. Zielinski, M. Bhatti, A. and Ciesielski, R. Demortier, L. Goulianos, K. Lungu, G. and Malik, S. Mesropian, C. Atramentov, O. Barker, A. and Duggan, D. Gershtein, Y. Gray, R. Halkiadakis, E. Hidas, D. Hits, D. Lath, A. Panwalkar, S. Patel, R. Rose, K. Schnetzer, S. Somalwar, S. Stone, R. Thomas, S. and Cerizza, G. Hollingsworth, M. Spanier, S. Yang, Z. C. and York, A. Eusebi, R. Flanagan, W. Gilmore, J. Gurrola, A. and Kamon, T. Khotilovich, V. Montalvo, R. Osipenkov, I. and Pakhotin, Y. Pivarski, J. Safonov, A. Sengupta, S. and Tatarinov, A. Toback, D. Weinberger, M. Akchurin, N. and Bardak, C. Damgov, J. Jeong, C. Kovitanggoon, K. Lee, S. W. Libeiro, T. Mane, P. Roh, Y. Sill, A. Volobouev, I. Wigmans, R. Yazgan, E. Appelt, E. Brownson, E. and Engh, D. Florez, C. Gabella, W. Issah, M. Johns, W. and Kurt, P. Maguire, C. Melo, A. Sheldon, P. Snook, B. and Tuo, S. Velkovska, J. Arenton, M. W. Balazs, M. Boutle, S. Cox, B. Francis, B. Hirosky, R. Ledovskoy, A. and Lin, C. Neu, C. Yohay, R. Gollapinni, S. Harr, R. and Karchin, P. E. Lamichhane, P. Mattson, M. Milstene, C. and Sakharov, A. Anderson, M. Bachtis, M. Bellinger, J. N. and Carlsmith, D. Dasu, S. Efron, J. Gray, L. Grogg, K. S. and Grothe, M. Hall-Wilton, R. Herndon, M. Herve, A. and Klabbers, P. Klukas, J. Lanaro, A. Lazaridis, C. and Leonard, J. Loveless, R. Mohapatra, A. Palmonari, F. and Reeder, D. Ross, I. Savin, A. Smith, W. H. Swanson, J. and Weinberg, M. CMS Collaboration
Abstract: Results are reported from a search for new physics processes in events containing a single isolated high-transverse-momentum lepton (electron or muon), energetic jets, and large missing transverse momentum. The analysis is based on a 4.98 fb(-1) sample of proton-proton collisions at a center-of-mass energy of 7 TeV, obtained with the CMS detector at the LHC. Three separate background estimation methods, each relying primarily on control samples in the data, are applied to a range of signal regions, providing complementary approaches for estimating the background yields. The observed yields are consistent with the predicted standard model backgrounds. The results are interpreted in terms of limits on the parameter space for the constrained minimal supersymmetric extension of the standard model, as well as on cross sections for simplified models, which provide a generic description of the production and decay of new particles in specific, topology based final states.
Published: 2013

43. Effects of the new wildlife transfer factors on RESRAD-BIOTA's screening Biota Concentration Guides and previous model comparison studies

Author: Sunita Kamboj, C. Yu, and J.-J. Cheng
Subjects: Radioisotopes, Radionuclide, integumentary system, Health, Toxicology and Mutagenesis, fungi, Radiation dose, Wildlife, Comparison results, Biota, General Medicine, Group model, Models, Theoretical, Pollution, Environmental modeling, Radiation Monitoring, Environmental chemistry, Environmental Chemistry, Environmental science, Animals, Waste Management and Disposal
Abstract: The RESRAD-BIOTA Level 1 default Biota Concentration Guides (BCGs) are generic screening environmental medium concentrations based on reasonably conservative concentration ratios (CRs). These CRs had been identified from available literature for a variety of biota organisms. The International Atomic Energy Agency (IAEA) Technical Report Series (TRS) handbook on radionuclide transfer to wildlife was recently published with data that can be compared with the RESRAD-BIOTA values. In addition, previous IAEA Environmental Modeling for Radiation Safety (EMRAS) II Biota Working Group model comparison results are examined by comparing them with those obtained using the new TRS CR values for wildlife. Since the CR affects only internal doses, the effect on the overall dose depends on the relative contribution from internal and external exposure pathways.
Published: 2012

44. Deconstructing Central Pain with Psychophysical and Neuroimaging Studies

Author: Joel D. Greenspan, Dieuwke S. Veldhuijzen, J. J. Cheng, and F. A. Lenz
Subjects: Central pain, medicine.medical_specialty, Pain Clinics, Neuroimaging, business.industry, Family medicine, Perioperative care, medicine, University medical, Neurosurgery, business, Psychiatry, Biomedical sciences
Abstract: J.J. Cheng1, D.S. Veldhuijzen3, J.D. Greenspan2 and F.A. Lenz1 1Department of Neurosurgery, Johns Hopkins Hospital, Baltimore 2Department of Biomedical Sciences, University of Maryland Dental School, Program in Neuroscience, Baltimore 3Division of Perioperative Care and Emergency Medicine, Rudolf Magus Institute of Neuroscience, Pain Clinic, University Medical Center Utrecht, Utrecht, 1,2USA 3Netherlands
Published: 2012
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45. Inclusive search for squarks and gluinos in pp collisions at root s=7 TeV

Author: Chatrchyan, S. Khachatryan, V. Sirunyan, A. M. Tumasyan, A. and Adam, W. Bergauer, T. Dragicevic, M. Eroe, J. and Fabjan, C. Friedl, M. Fruehwirth, R. Ghete, V. M. and Hammer, J. Haensel, S. Hoch, M. Hoermann, N. Hrubec, J. and Jeitler, M. Kiesenhofer, W. Krammer, M. Liko, D. and Mikulec, I. Pernicka, M. Rahbaran, B. Rohringer, H. and Schoefbeck, R. Strauss, J. Taurok, A. Teischinger, F. and Wagner, P. Waltenberger, W. Walzel, G. Widl, E. Wulz, C. -E. Mossolov, V. Shumeiko, N. Gonzalez, J. Suarez and Bansal, S. Benucci, L. DeWolf, E. A. Janssen, X. Maes, T. Mucibello, L. Ochesanu, S. Roland, B. Rougny, R. and Selvaggi, M. Van Haevermaet, H. Van Mechelen, P. Van Remortel, N. Blekman, F. Blyweert, S. D'Hondt, J. and Devroede, O. Suarez, R. Gonzalez Kalogeropoulos, A. Maes, M. and Van Doninck, W. Van Mulders, P. Van Onsem, G. P. and Villella, I. Charaf, O. Clerbaux, B. De Lentdecker, G. and Dero, V. Gay, A. P. R. Hammad, G. H. Hreus, T. Marage, P. E. Raval, A. Thomas, L. Velde, C. Vander Vanlaer, P. and Adler, V. Cimmino, A. Costantini, S. Grunewald, M. and Klein, B. Lellouch, J. Marinov, A. Mccartin, J. and Ryckbosch, D. Thyssen, F. Tytgat, M. Vanelderen, L. and Verwilligen, P. Walsh, S. Zaganidis, N. Basegmez, S. and Bruno, G. Caudron, J. Ceard, L. Gil, E. Cortina De Jeneret, J. De Favereau Delaere, C. Favart, D. Giammanco, A. and Gregoire, G. Hollar, J. Lemaitre, V. Liao, J. and Militaru, O. Nuttens, C. Ovyn, S. Pagano, D. Pin, A. and Piotrzkowski, K. Schul, N. Beliy, N. Caebergs, T. and Daubie, E. Alves, G. A. Brito, L. De Jesus Damiao, D. and Pol, M. E. Souza, M. H. G. Alda Junior, W. L. Carvalho, W. and Da Costa, E. M. De Oliveira Martins, C. Fonseca De Souza, S. and Mundim, L. Nogima, H. Oguri, V. Prado Da Silva, W. L. and Santoro, A. Silva Do Amaral, S. M. Sznajder, A. and Bernardes, C. A. Dias, F. A. Dos Anjos Costa, T. Fernandez Perez Tomei, T. R. Gregores, E. M. Lagana, C. C. Marinho, F. and Mercadante, P. G. Novaes, S. F. Padula, Sandra S. and Darmenov, N. Genchev, B. V. Iaydjiev, P. Piperov, S. and Rodozov, M. Stoykova, S. Sultanov, G. Tcholakov, V. and Trayanov, R. Dimitrov, A. Hadjiiska, R. Karadzhinova, A. and Kozhuharov, V. Litov, L. Mateev, M. Pavlov, B. Petkov, P. Bian, J. G. Chen, G. M. Chen, H. S. Jiang, C. H. and Liang, D. Liang, S. Meng, X. Tao, J. Wang, J. Wang, X. Wang, Z. Xiao, H. Xu, M. Zang, J. Zhang, Z. and Ban, Y. Guo, S. Guo, Y. Li, W. Mao, Y. Qian, S. J. and Teng, H. Zhu, B. Zou, W. Cabrera, A. Gomez Moreno, B. Rios, A. A. Ocampo Sanabria, J. C. Godinovic, N. and Lelas, D. Lelas, K. Plestina, R. Polic, D. Puljak, I. and Antunovic, Z. Dzelalija, M. Brigljevic, V. Duric, S. and Kadija, K. Morovic, S. Attikis, A. Galanti, M. Mousa, J. and Nicolaou, C. Ptochos, F. Razis, P. A. Finger, M. and Finger, Jr., M. Assran, Y. Kamel, A. Ellithi Khalil, S. and Mahmoud, M. A. Hektor, A. Kadastik, M. Muentel, M. and Raidal, M. Rebane, L. Tiko, A. Azzolini, V. Eerola, P. and Fedi, G. Czellar, S. Harkonen, J. Heikkinen, A. and Karimaki, V. Kinnunen, R. Kortelainen, M. J. Lampen, T. and Lassila-Perini, K. Lehti, S. Linden, T. Luukka, P. and Maenpaa, T. Tuominen, E. Tuominiemi, J. Tuovinen, E. and Ungaro, D. Wendland, L. Banzuzi, K. Karjalainen, A. and Korpela, A. Tuuva, T. Sillou, D. Besancon, M. Choudhury, S. Dejardin, M. Denegri, D. Fabbro, B. Faure, J. L. and Ferri, F. Ganjour, S. Gentit, F. X. Givernaud, A. Gras, P. de Monchenault, G. Hamel Jarry, P. Locci, E. Malcles, J. Marionneau, M. Millischer, L. Rander, J. Rosowsky, A. and Shreyber, I. Titov, M. Verrecchia, P. Baffioni, S. and Beaudette, F. Benhabib, L. Bianchini, L. Bluj, M. and Broutin, C. Busson, P. Charlot, C. Dahms, T. Dobrzynski, L. Elgammal, S. de Cassagnac, R. Granier Haguenauer, M. and Mine, P. Mironov, C. Ochando, C. Paganini, P. Sabes, D. and Salerno, R. Sirois, Y. Thiebaux, C. Wyslouch, B. and Zabi, A. Agram, J. -L. Andrea, J. Bloch, D. Bodin, D. and Brom, J. -M. Cardaci, M. Chabert, E. C. Collard, C. and Conte, E. Drouhin, F. Ferro, C. Fontaine, J. -C. Gele, D. Goerlach, U. Greder, S. Juillot, P. Karim, M. Le Bihan, A. -C. Mikami, Y. Van Hove, P. Fassi, F. Mercier, D. Baty, C. Beauceron, S. Beaupere, N. Bedjidian, M. and Bondu, O. Boudoul, G. Boumediene, D. Brun, H. Chasserat, J. Chierici, R. Contardo, D. Depasse, P. El Mamouni, H. and Fay, J. Gascon, S. Ille, B. Kurca, T. Le Grand, T. and Lethuillier, M. Mirabito, L. Perries, S. Sordini, V. and Tosi, S. Tschudi, Y. Verdier, P. Lomidze, D. Anagnostou, G. Beranek, S. Edelhoff, M. Feld, L. Heracleous, N. and Hindrichs, O. Jussen, R. Klein, K. Merz, J. Mohr, N. and Ostapchuk, A. Perieanu, A. Raupach, F. Sammet, J. and Schael, S. Sprenger, D. Weber, H. Weber, M. Wittmer, B. and Ata, M. Dietz-Laursonn, E. Erdmann, M. Hebbeker, T. and Heidemann, C. Hinzmann, A. Hoepfner, K. Klimkovich, T. and Klingebiel, D. Kreuzer, P. Lanske, D. Lingemann, J. and Magass, C. Merschmeyer, M. Meyer, A. Papacz, P. Pieta, H. Reithler, H. Schmitz, S. A. Sonnenschein, L. and Steggemann, J. Teyssier, D. Bontenackels, M. Davids, M. and Duda, M. Fluegge, G. Geenen, H. Giffels, M. Ahmad, W. Haj Heydhausen, D. Hoehle, F. Kargoll, B. Kress, T. and Kuessel, Y. Linn, A. Nowack, A. Perchalla, L. Pooth, O. and Rennefeld, J. Sauerland, P. Stahl, A. Tornier, D. and Zoeller, M. H. Martin, M. Aldaya Behrenhoff, W. Behrens, U. and Bergholz, M. Bethani, A. Borras, K. Cakir, A. and Campbell, A. Castro, E. Dammann, D. Eckerlin, G. and Eckstein, D. Flossdorf, A. Flucke, G. Geiser, A. Hauk, J. Jung, H. Kasemann, M. Katkov, I. Katsas, P. and Kleinwort, C. Kluge, H. Knutsson, A. Kraemer, M. and Kruecker, D. Kuznetsova, E. Lange, W. Lohmann, W. and Mankel, R. Marienfeld, M. Melzer-Pellmann, I. -A. Meyer, A. B. Mnich, J. Mussgiller, A. Olzem, J. Petrukhin, A. and Pitzl, D. Raspereza, A. Rosin, M. Schmidt, R. and Schoerner-Sadenius, T. Sen, N. Spiridonov, A. Stein, M. and Tomaszewska, J. Walsh, R. Wissing, C. Autermann, C. and Blobel, V. Bobrovskyi, S. Draeger, J. Enderle, H. and Gebbert, U. Goerner, M. Hermanns, T. Kaschube, K. and Kaussen, G. Kirschenmann, H. Klanner, R. Lange, J. Mura, B. Naumann-Emme, S. Nowak, F. Pietsch, N. Sander, C. and Schettler, H. Schleper, P. Schlieckau, E. Schroeder, M. and Schum, T. Stadie, H. Steinbrueck, G. Thomsen, J. Barth, C. Bauer, J. Berger, J. Buege, V. Chwalek, T. De Boer, W. Dierlamm, A. Dirkes, G. Feindt, M. Gruschke, J. and Hackstein, C. Hartmann, F. Heinrich, M. Held, H. and Hoffmann, K. H. Honc, S. Komaragiri, J. R. Kuhr, T. and Martschei, D. Mueller, S. Mueller, Th Niegel, M. Oberst, O. Oehler, A. Ott, J. Peiffer, T. Quast, G. and Rabbertz, K. Ratnikov, F. Ratnikova, N. Renz, M. Saout, C. Scheurer, A. Schieferdecker, P. Schilling, F. -P. and Schott, G. Simonis, H. J. Stober, F. M. Troendle, D. and Wagner-Kuhr, J. Weiler, T. Zeise, M. Zhukov, V. and Ziebarth, E. B. Daskalakis, G. Geralis, T. Kesisoglou, S. and Kyriakis, A. Loukas, D. Manolakos, I. Markou, A. and Markou, C. Mavrommatis, C. Ntomari, E. Petrakou, E. and Gouskos, L. Mertzimekis, T. J. Panagiotou, A. Saoulidou, N. and Stiliaris, E. Evangelou, I. Foudas, C. Kokkas, P. and Manthos, N. Papadopoulos, I. Patras, V. Triantis, F. A. and Aranyi, A. Bencze, G. Boldizsar, L. Hajdu, C. Hidas, P. and Horvath, D. Kapusi, A. Krajczar, K. Sikler, F. and Veres, G. I. Vesztergombi, G. Beni, N. Molnar, J. and Palinkas, J. Szillasi, Z. Veszpremi, V. Raics, P. and Trocsanyi, Z. L. Ujvari, B. Beri, S. B. Bhatnagar, V. and Dhingra, N. Gupta, R. Jindal, M. Kaur, M. Kohli, J. M. and Mehta, M. Z. Nishu, N. Saini, L. K. Sharma, A. and Singh, A. P. Singh, J. Singh, S. P. Ahuja, S. Choudhary, B. C. Gupta, P. Jain, S. Kumar, A. Naimuddin, M. and Ranjan, K. Shivpuri, R. K. Banerjee, S. Bhattacharya, S. and Dutta, S. Gomber, B. Jain, S. Khurana, R. Sarkar, S. and Choudhury, R. K. Dutta, D. Kailas, S. Kumar, V. Mehta, P. Mohanty, A. K. Pant, L. M. Shukla, P. Aziz, T. and Guchait, M. Gurtu, A. Maity, M. Majumder, D. Majumder, G. Mazumdar, K. Mohanty, G. B. Saha, A. Sudhakar, K. and Wickramage, N. Banerjee, S. Dugad, S. Mondal, N. K. and Arfaei, H. Bakhshiansohi, H. Etesami, S. M. Fahim, A. and Hashemi, M. Hesari, H. Jafari, A. Khakzad, M. Mohammadi, A. Najafabadi, M. Mohammadi Mehdiabadi, S. Paktinat and Safarzadeh, B. Zeinali, M. Abbrescia, M. Barbone, L. and Calabria, C. Colaleo, A. Creanza, D. De Filippis, N. De Palma, M. Fiore, L. Iaselli, G. Lusito, L. Maggi, G. and Maggi, M. Manna, N. Marangelli, B. My, S. Nuzzo, S. and Pacifico, N. Pierro, G. A. Pompili, A. Pugliese, G. and Romano, F. Roselli, G. Selvaggi, G. Silvestris, L. and Trentadue, R. Tupputi, S. Zito, G. Abbiendi, G. and Benvenuti, A. C. Bonacorsi, D. Braibant-Giacomelli, S. and Brigliadori, L. Capiluppi, P. Castro, A. Cavallo, F. R. and Cuffiani, M. Dallavalle, G. M. Fabbri, F. Fanfani, A. and Fasanella, D. Giacomelli, P. Giunta, M. Grandi, C. and Marcellini, S. Masetti, G. Meneghelli, M. Montanari, A. and Navarria, F. L. 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Orbaker, D. Petrillo, G. and Sakumoto, W. Vishnevskiy, D. Zielinski, M. Bhatti, A. and Ciesielski, R. Demortier, L. Goulianos, K. Lungu, G. and Malik, S. Mesropian, C. Atramentov, O. Barker, A. and Duggan, D. Gershtein, Y. Gray, R. Halkiadakis, E. Hidas, D. Hits, D. Lath, A. Panwalkar, S. Patel, R. Rose, K. Schnetzer, S. Somalwar, S. Stone, R. Thomas, S. and Cerizza, G. Hollingsworth, M. Spanier, S. Yang, Z. C. and York, A. Eusebi, R. Flanagan, W. Gilmore, J. Gurrola, A. and Kamon, T. Khotilovich, V. Montalvo, R. Osipenkov, I. and Pakhotin, Y. Safonov, A. Sengupta, S. Suarez, I. and Tatarinov, A. Toback, D. Weinberger, M. Akchurin, N. and Bardak, C. Damgov, J. Jeong, C. Kovitanggoon, K. Lee, S. W. Libeiro, T. Mane, P. Roh, Y. Sill, A. Volobouev, I. Wigmans, R. Yazgan, E. Appelt, E. Brownson, E. and Engh, D. Florez, C. Gabella, W. Issah, M. Johns, W. and Kurt, P. Maguire, C. Melo, A. Sheldon, P. Snook, B. and Tuo, S. Velkovska, J. Arenton, M. W. Balazs, M. Boutle, S. Cox, B. Francis, B. Goodell, J. Hirosky, R. and Ledovskoy, A. Lin, C. Neu, C. Yohay, R. Gollapinni, S. and Harr, R. Karchin, P. E. Don, C. Kottachchi Kankanamge and Lamichhane, P. Mattson, M. Milstene, C. Sakharov, A. and Anderson, M. Bachtis, M. Bellinger, J. N. Carlsmith, D. and Dasu, S. Efron, J. Gray, L. Grogg, K. S. Grothe, M. and Hall-Wilton, R. Herndon, M. Herve, A. Klabbers, P. and Klukas, J. Lanaro, A. Lazaridis, C. Leonard, J. and Loveless, R. Mohapatra, A. Ojalvo, I. Redder, D. Ross, I. Savin, A. Smith, W. H. Swanson, J. Weinberg, M. and CMS Collaboration
Subjects: High Energy Physics::Phenomenology
Abstract: A search is performed for heavy particle pairs produced in root s = 7 TeV proton-proton collisions with 35 pb(-1) of data collected by the CMS experiment at the LHC. The search is sensitive to squarks and gluinos of generic supersymmetry models, provided they are kinematically accessible, with minimal assumptions on properties of the lightest superpartner particle. The kinematic consistency of the selected events is tested against the hypothesis of heavy particle pair production using the dimensionless razor variable R, related to the missing transverse energy E-T(miss). The new physics signal is characterized by a broad peak in the distribution of M-R, an event-by-event indicator of the heavy particle mass scale. This new approach is complementary to E-T(miss)-based searches. After background modeling based on data, and background rejection based on R and M-R, no significant excess of events is found beyond the standard model expectations. The results are interpreted in the context of the constrained minimal supersymmetric standard model as well as two simplified supersymmetry models.
Published: 2012

46. Jet production rates in association with W and Z bosons in pp collisions at root s=7 TeV

Author: Chatrchyan, S. Khachatryan, V. Sirunyan, A. M. Tumasyan, A. and Adam, W. Bergauer, T. Dragicevic, M. Eroe, J. and Fabjan, C. Friedl, M. Fruehwirth, R. Ghete, V. M. and Hammer, J. Haensel, S. Hoch, M. Hoermann, N. Hrubec, J. and Jeitler, M. Kiesenhofer, W. Krammer, M. Liko, D. and Mikulec, I. Pernicka, M. Rahbaran, B. Rohringer, H. and Schoefbeck, R. Strauss, J. Taurok, A. Teischinger, F. and Trauner, C. Wagner, P. Waltenberger, W. Walzel, G. Widl, E. Wulz, C. -E. Mossolov, V. Shumeiko, N. Gonzalez, J. Suarez Bansal, S. Benucci, L. De Wolf, E. A. Janssen, X. and Luyckx, S. Maes, T. Mucibello, L. Ochesanu, S. and Roland, B. Rougny, R. Selvaggi, M. Van Haevermaet, H. and Van Mechelen, P. Van Remortel, N. Blekman, F. Blyweert, S. and D'Hondt, J. Suarez, R. Gonzalez Kalogeropoulos, A. Maes, M. Olbrechts, A. Van Doninck, W. Van Mulders, P. Van Onsem, G. P. Villella, I. Charaf, O. Clerbaux, B. De Lentdecker, G. Dero, V. Gay, A. P. R. Hammad, G. H. and Hreus, T. Marage, P. E. Raval, A. Thomas, L. Vander Marcken, G. Vander Velde, C. Vanlaer, P. Adler, V. and Cimmino, A. Costantini, S. Grunewald, M. Klein, B. and Lellouch, J. Marinov, A. Mccartin, J. Ryckbosch, D. and Thyssen, F. Tytgat, M. Vanelderen, L. Verwilligen, P. and Walsh, S. Zaganidis, N. Basegmez, S. Bruno, G. Caudron, J. Ceard, L. Gil, E. Cortina De Jeneret, J. De Favereau and Delaere, C. Favart, D. Giammanco, A. Gregoire, G. and Hollar, J. Lemaitre, V. Liao, J. Militaru, O. Nuttens, C. Ovyn, S. Pagano, D. Pin, A. Piotrzkowski, K. and Schul, N. Beliy, N. Caebergs, T. Daubie, E. Alves, G. A. and De Jesus Damiao, D. Pol, M. E. Souza, M. H. G. Alda Junior, W. L. Carvalho, W. Da Costa, E. M. De Oliveira Martins, C. Fonseca De Souza, S. Matos Figueiredo, D. and Mundim, L. Nogima, H. Oguri, V. Prado Da Silva, W. L. and Santoro, A. Silva Do Amaral, S. M. Sznajder, A. Anjos, T. S. and Bernardes, C. A. Dias, F. A. Fernandez Perez Tomei, T. R. and Gregores, E. M. Lagana, C. Marinho, F. Mercadante, P. G. and Novaes, S. F. Padula, Sandra S. Darmenov, N. Genchev, V. and Iaydjiev, P. Piperov, S. Rodozov, M. Stoykova, S. and Sultanov, G. Tcholakov, V. Trayanov, R. Vutova, M. and Dimitrov, A. Hadjiiska, R. Karadzhinova, A. Kozhuharov, V. and Litov, L. Mateev, M. Pavlov, B. Petkov, P. Bian, J. G. Chen, G. M. Chen, H. S. Jiang, C. H. Liang, D. and Liang, S. Meng, X. Tao, J. Wang, J. Wang, J. Wang, X. Wang, Z. Xiao, H. Xu, M. Zang, J. Zhang, Z. and Ban, Y. Guo, S. Guo, Y. Li, W. Mao, Y. Qian, S. J. and Teng, H. Zhu, B. Zou, W. Cabrera, A. Gomez Moreno, B. Ocampo Rios, A. A. Osorio Oliveros, A. F. Sanabria, J. C. and Godinovic, N. Lelas, D. Lelas, K. Plestina, R. and Polic, D. Puljak, I. Antunovic, Z. Dzelalija, M. Kovac, M. Brigljevic, V. Duric, S. Kadija, K. Luetic, J. and Morovic, S. Attikis, A. Galanti, M. Mousa, J. Nicolaou, C. Ptochos, F. Razis, P. A. Finger, M. Finger, Jr., M. and Assran, Y. Kamel, A. Ellithi Khalil, S. Mahmoud, M. A. and Radi, A. Hektor, A. Kadastik, M. Muentel, M. Raidal, M. Rebane, L. Tiko, A. Azzolini, V. Eerola, P. Fedi, G. Voutilainen, M. Czellar, S. Harkonen, J. Heikkinen, A. Karimaki, V. Kinnunen, R. Kortelainen, M. J. Lampen, T. Lassila-Perini, K. Lehti, S. Linden, T. Luukka, P. and Maenpaa, T. Tuominen, E. Tuominiemi, J. Tuovinen, E. and Ungaro, D. Wendland, L. Banzuzi, K. Karjalainen, A. and Korpela, A. Tuuva, T. Sillou, D. Besancon, M. Choudhury, S. Dejardin, M. Denegri, D. Fabbro, B. Faure, J. L. and Ferri, F. Ganjour, S. Gentit, F. X. Givernaud, A. Gras, P. de Monchenault, G. Hamel Jarry, P. Locci, E. Malcles, J. Marionneau, M. Millischer, L. Rander, J. Rosowsky, A. and Shreyber, I. Titov, M. Verrecchia, P. Baffioni, S. and Beaudette, F. Benhabib, L. Bianchini, L. Bluj, M. and Broutin, C. Busson, P. Charlot, C. Dahms, T. Dobrzynski, L. Elgammal, S. de Cassagnac, R. Granier Hague-Nauer, M. and Mine, P. Mironov, C. Ochando, C. Paganini, P. Sabes, D. and Salerno, R. Sirois, Y. Thiebaux, C. Veelken, C. and Zabi, A. Agram, J. -L. Andrea, J. Bloch, D. Bodin, D. and Brom, J. -M. Cardaci, M. Chabert, E. C. Collard, C. and Conte, E. Drouhin, F. Ferro, C. Fontaine, J. -C. Gele, D. Goerlach, U. Greder, S. Juillot, P. Karim, M. Le Bihan, A. -C. Mikami, Y. Van Hove, P. Fassi, F. Mercier, D. Baty, C. Beauceron, S. Beaupere, N. Bedjidian, M. and Bondu, O. Boudoul, G. Boumediene, D. Brun, H. Chasserat, J. Chierici, R. Contardo, D. Depasse, P. El Mamouni, H. and Fay, J. Gascon, S. Ille, B. Kurca, T. Le Grand, T. and Lethuillier, M. Mirabito, L. Perries, S. Sordini, V. and Tosi, S. Tschudi, Y. Verdier, P. Viret, S. Lomidze, D. and Anagnostou, G. Beranek, S. Edelhoff, M. Feld, L. and Heracleous, N. Hindrichs, O. Jussen, R. Klein, K. Merz, J. Mohr, N. Ostapchuk, A. Perieanu, A. Raupach, F. and Sammet, J. Schael, S. Sprenger, D. Weber, H. Weber, M. and Wittmer, B. Zhukov, V. Ata, M. Dietz-Laursonn, E. and Erdmann, M. Hebbeker, T. Heidemann, C. Hinzmann, A. and Hoepfner, K. Klimkovich, T. Klingebiel, D. Kreuzer, P. and Lanske, D. Lingemann, J. Magass, C. Merschmeyer, M. and Meyer, A. Papacz, P. Pieta, H. Reithler, H. Schmitz, S. A. Sonnenschein, L. Steggemann, J. Teyssier, D. and Bontenackels, M. Cherepanov, V. Davids, M. Fluegge, G. and Geenen, H. Giffels, M. Ahmad, W. Haj Hoehle, F. Kargoll, B. Kress, T. Kuessel, Y. Linn, A. Nowack, A. and Perchalla, L. Pooth, O. Rennefeld, J. Sauerland, P. and Stahl, A. Tornier, D. Zoeller, M. H. Martin, M. Aldaya and Behrenhoff, W. Behrens, U. Bergholz, M. Bethani, A. and Borras, K. Cakir, A. Campbell, A. Castro, E. Dammann, D. and Eckerlin, G. Eckstein, D. Flossdorf, A. Flucke, G. and Geiser, A. Hauk, J. Jung, H. Kasemann, M. Katsas, P. and Kleinwort, C. Kluge, H. Knutsson, A. Kraemer, M. and Kruecker, D. Kuznetsova, E. Lange, W. Lohmann, W. and Mankel, R. Marienfeld, M. Melzer-Pellmann, I. -A. Meyer, A. B. Mnich, J. Mussgiller, A. Olzem, J. Petrukhin, A. and Pitzl, D. Raspereza, A. Rosin, M. Schmidt, R. and Schoerner-Sadenius, T. Sen, N. Spiridonov, A. Stein, M. and Tomaszewska, J. Walsh, R. Wissing, C. Autermann, C. and Blobel, V. Bobrovskyi, S. Draeger, J. Enderle, H. and Gebbert, U. Goerner, M. Hermanns, T. Kaschube, K. and Kaussen, G. Kirschenmann, H. Klanner, R. Lange, J. Mura, B. Naumann-Emme, S. Nowak, F. Pietsch, N. Sander, C. and Schettler, H. Schleper, P. Schlieckau, E. Schroeder, M. and Schum, T. Stadie, H. Steinbrueck, G. Thomsen, J. Barth, C. Bauer, J. Berger, J. Buege, V. Chwalek, T. De Boer, W. Dierlamm, A. Dirkes, G. Feindt, M. Gruschke, J. and Hackstein, C. Hartmann, F. Heinrich, M. Held, H. and Hoffmann, K. H. Honc, S. Katkov, I. Komaragiri, J. R. and Kuhr, T. Martschei, D. Mueller, S. Mueller, Th Niegel, M. Oberst, O. Oehler, A. Ott, J. Peiffer, T. Quast, G. Rabbertz, K. Ratnikov, F. Ratnikova, N. Renz, M. and Roecker, S. Saout, C. Scheurer, A. Schieferdecker, P. and Schilling, F. -P. Schmanau, M. Schott, G. Simonis, H. J. and Stober, F. M. Troendle, D. Wagner-Kuhr, J. Weiler, T. and Zeise, M. Ziebarth, E. B. Daskalakis, G. Geralis, T. and Kesisoglou, S. Kyriakis, A. Loukas, D. Manolakos, I. and Markou, A. Markou, C. Mavrommatis, C. Ntomari, E. and Petrakou, E. Gouskos, L. Mertzimekis, T. J. Panagiotou, A. and Saoulidou, N. Stiliaris, E. Evangelou, I. Foudas, C. and Kokkas, P. Manthos, N. Papadopoulos, I. Patras, V. and Triantis, F. A. Aranyi, A. Bencze, G. Boldizsar, L. and Hajdu, C. Hidas, P. Horvath, D. Kapusi, A. Krajczar, K. and Sikler, F. Veres, G. I. Vesztergombi, G. Beni, N. and Molnar, J. Palinkas, J. Szillasi, Z. Veszpremi, V. and Raics, P. Trocsanyi, Z. L. Ujvari, B. Beri, S. B. and Bhatnagar, V. Dhingra, N. Gupta, R. Jindal, M. Kaur, M. and Kohli, J. M. Mehta, M. Z. Nishu, N. Saini, L. K. and Sharma, A. Singh, A. P. Singh, J. Singh, S. P. Ahuja, S. and Choudhary, B. C. Gupta, P. Kumar, A. Kumar, A. and Malhotra, S. Naimuddin, M. Ranjan, K. Shivpuri, R. K. and Banerjee, S. Bhattacharya, S. Dutta, S. Gomber, B. Jain, S. Jain, S. Khurana, R. Sarkar, S. Choudhury, R. K. and Dutta, D. Kailas, S. Kumar, V. Mehta, P. Mohanty, A. K. and Pant, L. M. Shukla, P. Aziz, T. Guchait, M. Gurtu, A. Maity, M. Majumder, D. Majumder, G. Mathew, T. and Mazumdar, K. Mohanty, G. B. Saha, A. Sudhakar, K. and Wickramage, N. Banerjee, S. Dugad, S. Mondal, N. K. and Arfaei, H. Bakhshiansohi, H. Etesami, S. M. Fahim, A. and Hashemi, M. Hesari, H. Jafari, A. Khakzad, M. Mohammadi, A. Najafabadi, M. Mohammadi Mehdiabadi, S. Paktinat and Safarzadeh, B. Zeinali, M. Abbrescia, M. Barbone, L. and Calabria, C. Colaleo, A. Creanza, D. De Filippis, N. De Palma, M. Fiore, L. Iaselli, G. Lusito, L. Maggi, G. and Maggi, M. Manna, N. Marangelli, B. My, S. Nuzzo, S. and Pacifico, N. Pierro, G. A. Pompili, A. Pugliese, G. and Romano, F. Roselli, G. Selvaggi, G. Silvestris, L. and Trentadue, R. Tupputi, S. Zito, G. Abbiendi, G. and Benvenuti, A. C. Bonacorsi, D. Braibant-Giacomelli, S. and Brigliadori, L. Capiluppi, P. Castro, A. Cavallo, F. R. and Cuffiani, M. Dallavalle, G. M. Fabbri, F. Fanfani, A. and Fasanella, D. Giacomelli, P. Giunta, M. Grandi, C. and Marcellini, S. Masetti, G. Meneghelli, M. Montanari, A. and Navarria, F. L. Odorici, F. Perrotta, A. Primavera, F. and Rossi, A. M. Rovelli, T. Siroli, G. Travaglini, R. and Albergo, S. Cappello, G. Chiorboli, M. Costa, S. and Potenza, R. Tricomi, A. Tuve, C. Barbagli, G. Ciulli, V. and Civinini, C. D'Alessandro, R. Focardi, E. Frosali, S. and Gallo, E. Gonzi, S. Lenzi, P. Meschini, M. Paoletti, S. Sguazzoni, G. Tropiano, A. Benussi, L. Bianco, S. and Colafranceschi, S. Fabbri, F. Piccolo, D. Fabbricatore, P. and Musenich, R. Benaglia, A. De Guio, F. Di Matteo, L. and Gennai, S. Ghezzi, A. Malvezzi, S. Martelli, A. and Massironi, A. Menasce, D. Moroni, L. Paganoni, M. and Pedrini, D. Ragazzi, S. Redaelli, N. Sala, S. de Fatis, T. Tabarelli Buontempo, S. Montoya, C. A. Carrillo Cavallo, N. De Cosa, A. Fabozzi, F. Iorio, A. O. M. Lista, L. and Merola, M. Paolucci, P. Azzi, P. Bacchetta, N. Bellan, P. Bisello, D. Branca, A. Carlin, R. Checchia, P. and Dorigo, T. Dosselli, U. Fanzago, F. Gasparini, F. and Gasparini, U. Gozzelino, A. Lacaprara, S. Lazzizzera, I. and Margoni, M. Mazzucato, M. Meneguzzo, A. T. Nespolo, M. and Perrozzi, L. Pozzobon, N. Ronchese, P. Simonetto, F. and Torassa, E. Tosi, M. Vanini, S. Zotto, P. Zumerle, G. and Baesso, P. Berzano, U. Ratti, S. P. Riccardi, C. and Torre, P. Vitulo, P. Viviani, C. Biasini, M. Bilei, G. M. Caponeri, B. Fano, L. Lariccia, P. Lucaroni, A. and Mantovani, G. Menichelli, M. Nappi, A. Romeo, F. and Santocchia, A. Taroni, S. Valdata, M. Azzurri, P. and Bagliesi, G. Bernardini, J. Boccali, T. Broccolo, G. and Castaldi, R. D'Agnolo, R. T. Dell'Orso, R. Fiori, F. and Foa, L. Giassi, A. Kraan, A. Ligabue, F. Lomtadze, T. and Martini, L. Messineo, A. Palla, F. Palmonari, F. and Segneri, G. Serban, A. T. Spagnolo, P. Tenchini, R. and Tonelli, G. Venturi, A. Verdini, P. G. Barone, L. and Cavallari, F. Del Re, D. Di Marco, E. Diemoz, M. Franci, D. Grassi, M. Longo, E. Meridiani, P. Micheli, F. and Nourbakhsh, S. Organtini, G. Pandolfi, F. Paramatti, R. and Rahatlou, S. Sigamani, M. Amapane, N. Arcidiacono, R. and Argiro, S. Arneodo, M. Biino, C. Botta, C. Cartiglia, N. and Castello, R. Costa, M. Demaria, N. Graziano, A. and Mariotti, C. Maselli, S. Migliore, E. Monaco, V. Musich, M. Obertino, M. M. Pastrone, N. Pelliccioni, M. Potenza, A. Romero, A. Ruspa, M. Sacchi, R. Sola, V. Solano, A. Staiano, A. Pereira, A. Vilela Belforte, S. Cossutti, F. Della Ricca, G. Gobbo, B. Marone, M. Montanino, D. and Penzo, A. Schizzi, A. Heo, S. G. Nam, S. K. Chang, S. Chung, J. Kim, D. H. Kim, G. N. Kim, J. E. Kong, D. J. Park, H. Ro, S. R. Son, D. C. Son, T. Kim, J. Y. Kim, Zero J. Song, S. Jo, H. Y. Choi, S. Gyun, D. and Hong, B. Jo, M. Kim, H. Kim, J. H. Kim, T. J. and Lee, K. S. Moon, D. H. Park, S. K. Seo, E. Sim, K. S. and Choi, M. Kang, S. Kim, H. Park, C. Park, I. C. and Park, S. Ryu, G. Cho, Y. Choi, Y. Choi, Y. K. Goh, J. Kim, M. S. Lee, B. Lee, J. Lee, S. Seo, H. and Yu, I. Bilinskas, M. J. Grigelionis, I. Janulis, M. and Martisiute, D. Petrov, P. Polujanskas, M. Sabonis, T. and Castilla-Valdez, H. De La Cruz-Burelo, E. Heredia-de La Cruz, I. and Lopez-Fernandez, R. Magana Villalba, R. Martinez-Ortega, J. and Sanchez-Hernandez, A. Villasenor-Cendejas, L. M. Carrillo Moreno, S. Vazquez Valencia, F. Salazar Ibarguen, H. A. and Casimiro Linares, E. Morelos Pineda, A. Reyes-Santos, M. A. and Krofcheck, D. Tam, J. Butler, P. H. Doesburg, R. and Silverwood, H. Ahmad, M. Ahmed, I. Ansari, M. H. Asghar, M. I. Hoorani, H. R. Khalid, S. Khan, W. A. Khurshid, T. and Qazi, S. Shah, M. A. Shoaib, M. Brona, G. Cwiok, M. and Dominik, W. Doroba, K. Kalinowski, A. Konecki, M. and Krolikowski, J. Frueboes, T. Gokieli, R. Gorski, M. and Kazana, M. Nawrocki, K. Romanowska-Rybinska, K. Szleper, M. and Wrochna, G. Zalewski, P. Almeida, N. Bargassa, P. and David, A. Faccioli, P. Ferreira Parracho, P. G. Gallinaro, M. Musella, P. Nayak, A. Pela, J. Ribeiro, P. Q. and Seixas, J. Varela, J. Afanasiev, S. Belotelov, I. Bunin, P. Gavrilenko, M. Golutvin, I. Kamenev, A. Karjavin, V. and Kozlov, G. Lanev, A. Moisenz, P. Palichik, V. and Perelygin, V. Shmatov, S. Smirnov, V. Volodko, A. and Zarubin, A. Golovtsov, V. Ivanov, Y. Kim, V. Levchenko, P. Murzin, V. Oreshkin, V. Smirnov, I. Sulimov, V. and Uvarov, L. Vavilov, S. Vorobyev, A. Vorobyev, An and Andreev, Yu Dermenev, A. Gninenko, S. Golubev, N. and Kirsanov, M. Krasnikov, N. Matveev, V. Pashenkov, A. and Toropin, A. Troitsky, S. Epshteyn, V. Erofeeva, M. and Gavrilov, V. Kaftanov, V. Kossov, M. Krokhotin, A. and Lychkovskaya, N. Popov, V. Safronov, G. Semenov, S. and Stolin, V. Vlasov, E. Zhokin, A. Belyaev, A. Boos, E. and Dubinin, M. Dudko, L. Ershov, A. Gribushin, A. and Kodolova, O. Lokhtin, I. Markina, A. Obraztsov, S. and Perfilov, M. Petrushanko, S. Sarycheva, L. Savrin, V. and Snigirev, A. Andreev, V. Azarkin, M. Dremin, I. and Kirakosyan, M. Leonidov, A. Mesyats, G. Rusakov, S. V. and Vinogradov, A. Azhgirey, I. Bayshev, I. Bitioukov, S. and Grishin, V. Kachanov, V. Konstantinov, D. Korablev, A. and Krychkine, V. Petrov, V. Ryutin, R. Sobol, A. and Tourtchanovitch, L. Troshin, S. Tyurin, N. Uzunian, A. and Volkov, A. Adzic, P. Djordjevic, M. Krpic, D. Milosevic, J. Aguilar-Benitez, M. Maestre, J. Alcaraz Arce, P. and Battilana, C. Calvo, E. Cerrada, M. Llatas, M. Chamizo and Colino, N. De La Cruz, B. Delgado Peris, A. Diez Pardos, C. and Dominguez Vazquez, D. Fernandez Bedoya, C. Fernandez Ramos, J. P. Ferrando, A. Flix, J. Fouz, M. C. Garcia-Abia, P. and Gonzalez Lopez, O. Goy Lopez, S. Hernandez, J. M. Josa, M. I. Merino, G. Puerta Pelayo, J. Redondo, I. Romero, L. Santaolalla, J. Soares, M. S. Willmott, C. Albajar, C. Codispoti, G. de Troconiz, J. F. Cuevas, J. Fernandez Menendez, J. Folgueras, S. Gonzalez Caballero, I. Lloret Iglesias, L. Vizan Garcia, J. M. 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Stephans, G. S. F. and Stoeckli, F. Sumorok, K. Sung, K. Velicanu, D. Wenger, E. A. Wolf, R. Wyslouch, B. Xie, S. Yang, M. Yilmaz, Y. Yoon, A. S. Zanetti, M. Cooper, S. I. Cushman, P. and Dahmes, B. De Benedetti, A. Franzoni, G. Gude, A. Haupt, J. Klapoetke, K. Kubota, Y. Mans, J. Pastika, N. and Rekovic, V. Rusack, R. Sasseville, M. Singovsky, A. and Tambe, N. Turkewitz, J. Cremaldi, L. M. Godang, R. and Kroeger, R. Perera, L. Rahmat, R. Sanders, D. A. and Summers, D. Bloom, K. Bose, S. Butt, J. Claes, D. R. and Dominguez, A. Eads, M. Jindal, P. Keller, J. Kelly, T. and Kravchenko, I. Lazo-Flores, J. Malbouisson, H. Malik, S. and Snow, G. R. Baur, U. Godshalk, A. Iashvili, I. Jain, S. Kharchilava, A. Kumar, A. Smith, K. Wan, Z. and Alverson, G. Barberis, E. Baumgartel, D. Boeriu, O. and Chasco, M. Reucroft, S. Swain, J. Trocino, D. Wood, D. and Zhang, J. Anastassov, A. Kubik, A. Mucia, N. Odell, N. Ofierzynski, R. A. Pollack, B. Pozdnyakov, A. and Schmitt, M. Stoynev, S. Velasco, M. 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Montalvo, R. Osipenkov, I. Pakhotin, Y. Perloff, A. Safonov, A. Sengupta, S. Suarez, I. and Tatarinov, A. Toback, D. Akchurin, N. Bardak, C. Damgov, J. Dudero, P. R. Jeong, C. Kovitanggoon, K. Lee, S. W. and Libeiro, T. Mane, P. Roh, Y. Sill, A. Volobouev, I. and Wigmans, R. Yazgan, E. Appelt, E. Brownson, E. Engh, D. Florez, C. Gabella, W. Issah, M. Johns, W. and Johnston, C. Kurt, P. Maguire, C. Melo, A. Sheldon, P. and Snook, B. Tuo, S. Velkovska, J. Arenton, M. W. and Balazs, M. Boutle, S. Cox, B. Francis, B. Goadhouse, S. and Goodell, J. Hirosky, R. Ledovskoy, A. Lin, C. Neu, C. Wood, J. Yohay, R. Gollapinni, S. Harr, R. and Karchin, P. E. Don, C. Kottachchi Kankanamge Lamichhane, P. and Mattson, M. Milstene, C. Sakharov, A. Anderson, M. and Bachtis, M. Belknap, D. Bellinger, J. N. Carlsmith, D. and Cepeda, M. Dasu, S. Efron, J. Friis, E. Gray, L. and Grogg, K. S. Grothe, M. Hall-Wilton, R. Herndon, M. and Herve, A. Klabbers, P. Klukas, J. Lanaro, A. Lazaridis, C. Leonard, J. Loveless, R. Mohapatra, A. Ojalvo, I. and Parker, W. Ross, I. Savin, A. Smith, W. H. Swanson, J. and Weinberg, M. CMS Collaboration
Subjects: Astrophysics::High Energy Astrophysical Phenomena, High Energy Physics::Experiment
Abstract: Measurements of jet production rates in association with W and Z bosons for jet transverse momenta above 30 GeV are reported, using a sample of proton-proton collision events recorded by CMS at root s = 7 TeV, corresponding to an integrated luminosity of 36 pb(-1). The study includes the measurement of the normalized inclusive rates of jets sigma(V+ >= n jets)/sigma(V), where V represents either a W or a Z. In addition, the ratio of W to Z cross sections and the W charge asymmetry as a function of the number of associated jets are measured. A test of scaling at root s = 7 TeV is also presented. The measurements provide a stringent test of perturbative-QCD calculations and are sensitive to the possible presence of new physics. The results are in agreement with the predictions of a simulation that uses explicit matrix element calculations for final states with jets.
Published: 2012

47. Environmental Modelling for Radiation Safety (EMRAS): a summary report of the results of the EMRAS programme (2003–2007)

Author: J. Aign, T. Al-Khayat, M. Al-Masri, V. Amado, H. Amano, M. Ammann, K.G. Andersson, G. Angeli, G. Arapis, A. Arkhipov, D. Atanassov, M. Atarashi-Andoh, M. Balonov, C. Barbeau, C.L. Barnett, I. Barraclough, H. Barros, M. Bartusková, B. Batandjieva, F. Baumgärtner, K. Beaugelin-Seiller, M. Belli, Y. Belot, I. Benovich, N.A. Beresford, V. Berkovskyy, B. Birky, P. Bossew, C. Boyer, P. Boyer, M. Brennwald, J.E. Brittain, J.E. Brown, P. Calmon, D. Cancio, A. Canoba, F. Carini, T.W. Charnock, J.-J. Cheng, Y. Choi, P. Ciffroy, C. Colle, S. Conney, D. Copplestone, D. Cutts, P. Davis, M. Doi, C. Dovlete, C. Duffa, G. Durrieu, N. Dzyuba, S. Ehlken, S. Fesenko, V. Filistovic, D. Galeriu, F. Gallay, L. Garcia-Sanchez, R. García-Tenorio, J.-M. Garnier, S. Gaschak, K. Gehrcke, J. Gerler, M.H. Gerzabek, C.J. Gil-García, V. Golikov, O. Golovan, A. Golubev, V. Golubeva, A. Gondin Da Fonseca, N. Goutal, P. Guetat, W. Gulden, L. Håkanson, F. Harris, R. Heling, J. Hilton, J.L. Hingston, D. Hofman, T. Homma, J. Horyna, A. Hosseini, B.J. Howard, A. Hubmer, W.T. Hwang, J. Inaba, Y. Inoue, K. Ioannides, N. Isamov, K. Ivanova, D. Jackson, J. James, F. Jourdain, L. Jova Sed, Juri, Ayub, J.C. Kaiser, H. Kakiuchi, S. Kamboj, B. Kanyár, V. Kashparov, I. Kawaguchi, P. Kennedy, G. Kirchner, S. Kivva, J. Koarashi, A. Konoplev, V. Koshebutskyy, V. Koukouliou, J. Kozar Lagar, P. Krajewski, V. Krasnov, M. Krizman, A. Krylov, A. Kryshev, I. Kryshev, G. Laptev, E. Leclerc, S. LeDizès-Maurel, C. Lee, H. Lee, H. Lettner, G. Linsley, D. Louvat, M. Luck, V. Maderich, C. Madoz-Escande, L. Magro, I. Malátová, P. Marks, P. Martin, T. Masuda, S. Mavrin, P. McDonald, A. Melintescu, K. Miyamoto, N. Momoshima, L. Monte, M. Montfort, T. Nedveckaite, F. Neves, O. Nitzsche, A. Nosov, C. Nuccetelli, R. O'Brien, G. Olyslaegers, C. Organo, O. Orlov, M. Paganini Fioratti, S.E. Palsson, L. Patryl, R. Periañez, D. Pérez-Sánchez, S.R. Peterson, G. Pröhl, E. Quintana, A. Rantavaara, W. Raskob, P.M. Ravi, E. Reed, A. Rigol, K. Rudya, M. Saito, K. Sanina, U. Sansone, P. Santucci, N. Sanzharova, R. Saxén, T. Sazykina, A. Servant-Perrier, L. Setlow, Z.R. Shang, G. Shaw, O. Shubina, F. Siclet, S. Simon, S. Sitnikov, V.P. Sizonenko, L. Skuterud, O. Slávik, K. Smith, J.T. Smith, M. Steiner, F. Strebl, K.-S. Suh, V. Suolanen, L. Sweeck, K. Tagami, H. Takeda, C. Tamponnet, D. Telleria, K.M. Thiessen, Y. Thiry, M. Thorne, J. Tomás Zerquera, G. Torri, D. Treebushny, D. Trifunovic, L. Tsatsi, S. Uchida, H. Vandenhove, B. Varga, H. Velasco, A. Venter, L. Vichot, M. Vidal, J. Vives I Batlle, S. Vives-Lynch, O. Vlasov, G. Voigt, P. Waggitt, D. Webbe-Wood, B. Wierczinski, M.D. Wood, K. Yamamoto, T. Yankovich, C. Yu, T. Zeevaert, L. Zeiller, R. Zelmer, M. Zheleznyak, G. Zibold, B. Zlobenko, and I.. 2012 Zvonova
Published: 2012
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48. Forward energy flow, central charged-particle multiplicities, and pseudorapidity gaps in W and Z boson events from pp collisions at root s=7 TeV

Author: Chatrchyan, S. Khachatryan, V. Sirunyan, A. M. Tumasyan, A. and Adam, W. Bergauer, T. Dragicevic, M. Eroe, J. and Fabjan, C. Friedl, M. Fruehwirth, R. Ghete, V. M. and Hammer, J. Haensel, S. Hoch, M. Hoermann, N. Hrubec, J. and Jeitler, M. Kiesenhofer, W. Krammer, M. Liko, D. and Mikulec, I. Pernicka, M. Rahbaran, B. Rohringer, H. and Schoefbeck, R. Strauss, J. Taurok, A. Teischinger, F. and Trauner, C. Wagner, P. Waltenberger, W. Walzel, G. Widl, E. Wulz, C. -E. Mossolov, V. Shumeiko, N. Gonzalez, J. Suarez Bansal, S. Benucci, L. De Wolf, E. A. Janssen, X. and Maes, T. Mucibello, L. Ochesanu, S. Roland, B. and Rougny, R. Selvaggi, M. Van Haevermaet, H. Van Mechelen, P. and Van Remortel, N. Blekman, F. Blyweert, S. D'Hondt, J. and Devroede, O. Suarez, R. Gonzalez Kalogeropoulos, A. and Maes, M. Van Doninck, W. Van Mulders, P. Van Onsem, G. P. and Villella, I. Charaf, O. Clerbaux, B. De Lentdecker, G. and Dero, V. Gay, A. P. R. Hammad, G. H. Hreus, T. and Marage, P. E. Raval, A. Thomas, L. Vander Marcken, G. and Vander Velde, C. Vanlaer, P. Adler, V. Cimmino, A. and Costantini, S. Grunewald, M. Klein, B. Lellouch, J. and Marinov, A. Mccartin, J. Ryckbosch, D. Thyssen, F. and Tytgat, M. Vanelderen, L. Verwilligen, P. Walsh, S. and Zaganidis, N. Basegmez, S. Bruno, G. Caudron, J. Ceard, L. Gil, E. Cortina De Jeneret, J. De Favereau Delaere, C. and Favart, D. Giammanco, A. Gregoire, G. Hollar, J. and Lemaitre, V. Liao, J. Militaru, O. Nuttens, C. Ovyn, S. and Pagano, D. Pin, A. Piotrzkowski, K. Schul, N. Beliy, N. Caebergs, T. Daubie, E. Alves, G. A. Brito, L. De Jesus Damiao, D. Pol, M. E. Souza, M. H. G. Alda Junior, W. L. Carvalho, W. Da Costa, E. M. De Oliveira Martins, C. and Fonseca De Souza, S. Matos Figueiredo, D. Mundim, L. Nogima, H. Oguri, V. Prado Da Silva, W. L. Santoro, A. Silva Do Amaral, S. M. Sznajder, A. Anjos, T. S. Bernardes, C. A. and Dias, F. A. Fernandez Perez Tomei, T. R. Gregores, E. M. and Lagana, C. Marinho, F. Mercadante, P. 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Dudero, P. R. Jeong, C. Kovitanggoon, K. Lee, S. W. Libeiro, T. Mane, P. Roh, Y. Sill, A. and Volobouev, I. Wigmans, R. Yazgan, E. Appelt, E. and Brownson, E. Engh, D. Florez, C. Gabella, W. Issah, M. and Johns, W. Johnston, C. Kurt, P. Maguire, C. Melo, A. and Sheldon, P. Snook, B. Tuo, S. Velkovska, J. Arenton, M. W. Balazs, M. Boutle, S. Cox, B. Francis, B. and Goadhouse, S. Goodell, J. Hirosky, R. Ledovskoy, A. Lin, C. Neu, C. Wood, J. Yohay, R. Gollapinni, S. Harr, R. Karchin, P. E. Don, C. Kottachchi Kankanamge Lamichhane, P. Mattson, M. Milstene, C. Sakharov, A. Anderson, M. and Bachtis, M. Belknap, D. Bellinger, J. N. Carlsmith, D. and Dasu, S. Efron, J. Gray, L. Grogg, K. S. Grothe, M. and Hall-Wilton, R. Herndon, M. Herve, A. Klabbers, P. and Klukas, J. Lanaro, A. Lazaridis, C. Leonard, J. and Loveless, R. Mohapatra, A. Ojalvo, I. Parker, W. Reeder, D. Ross, I. Savin, A. Smith, W. H. Swanson, J. and Weinberg, M. CMS Collaboration
Subjects: High Energy Physics::Experiment
Abstract: A study of forward energy flow and central charged-particle multiplicity in events with W and Z bosons decaying into leptons is presented. The analysis uses a sample of 7 TeV pp collisions, corresponding to an integrated luminosity of 36 pb(-1), recorded by the CMS experiment at the LHC. The observed forward energy depositions, their correlations, and the central charged-particle multiplicities are not well described by the available non-diffractive soft-hadron production models. A study of about 300 events with no significant energy deposited in one of the forward calorimeters, corresponding to a pseudorapidity gap of at least 1.9 units, is also presented. An indication for a diffractive component in these events comes from the observation that the majority of the charged leptons from the W(Z) decays are found in the hemisphere opposite to the gap. When fitting the signed lepton pseudorapidity distribution of these events with predicted distributions from an admixture of diffractive (POMPYT) and non-diffractive (PYTHIA) Monte Carlo simulations, the diffractive component is determined to be (50.0 +/- 9.3 (stat.) +/- 5.2 (syst.))%.
Published: 2012

49. Pattern Studies of Strain Distributions for Detecting Pipe Wrinkling

Author: J. J. Cheng, Z. L. Chou, and J. Zhou
Subjects: Engineering, Strain (chemistry), business.industry, Mechanical Engineering, Ocean Engineering, Terrain, Structural engineering, Pipeline (software), Finite element method, Pipeline transport, Buckling, Submarine pipeline, business, Parametric statistics
Abstract: As both onshore and offshore pipeline constructions push further into higher risk terrains, such as geologically unstable terrain and the Arctic region, the risk of local buckling failure (wrinkling) for these buried pipelines has been increasing gradually. However, current methods used to prevent buried pipelines from buckling failure are expensive, time consuming, and unreliable. Therefore, to overcome these problems, a reliable method of predicting pipeline wrinkling is proposed. The method can provide active warning for pipeline wrinkling through a decision-making system (DMS). The DMS has been designed to identify strain distribution patterns and their development on critical pipe segments and detect the onset of pipe wrinkling. To create a reliable DMS, studies of the strain distribution patterns of line-pipes during pipe buckling are very important. In this paper, the strain distribution patterns of various line-pipes are presented. These line-pipes have different material and geometric properties, loading conditions, and manufacturing conditions. A total of 32 sets of experimental results and 72 sets of finite element analyses (FEA) along with parametric studies were included in the study. The study revealed significant behavioral characteristics of the strain distribution patterns during pipe buckling and important parameters affecting these strain patterns. For practical application, three thresholds of the strain distribution patterns are proposed. Furthermore, the optimal positions and spacing of the strain measurements for early detecting pipelines wrinkling are discussed as well.
Published: 2011
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50. Search for supersymmetry in events with b jets and missing transverse momentum at the LHC

Author: Chatrchyan, S. Khachatryan, V. Sirunyan, A. M. Tumasyan, A. and Adam, W. Bergauer, T. Dragicevic, M. Eroe, J. and Fabjan, C. Friedl, M. Fruehwirth, R. Ghete, V. M. and Hammer, J. Haensel, S. Hoch, M. Hoermann, N. Hrubec, J. and Jeitler, M. Kiesenhofer, W. Krammer, M. Liko, D. and Mikulec, I. Pernicka, M. Rohringer, H. Schoefbeck, R. and Strauss, J. Taurok, A. Teischinger, F. Wagner, P. and Waltenberger, W. Walzel, G. Widl, E. Wulz, C. -E. and Mossolov, V. Shumeiko, N. Gonzalez, J. Suarez Bansal, S. and Benucci, L. De Wolf, E. A. Janssen, X. Maes, J. Maes, T. and Mucibello, L. Ochesanu, S. Roland, B. Rougny, R. and Selvaggi, M. Van Haevermaet, H. Van Mechelen, P. Van Remortel, N. Blekman, F. Blyweert, S. D'Hondt, J. and Devroede, O. Suarez, R. Gonzalez Kalogeropoulos, A. Maes, M. and Van Doninck, W. Van Mulders, P. Van Onsem, G. P. and Villella, I. Charaf, O. Clerbaux, B. De Lentdecker, G. and Dero, V. Gay, A. P. R. Hammad, G. H. Hreus, T. Marage, P. E. Thomas, L. Vander Velde, C. Vanlaer, P. Adler, V. and Cimmino, A. Costantini, S. Grunewald, M. Klein, B. and Lellouch, J. Marinov, A. Mccartin, J. Ryckbosch, D. and Thyssen, F. Tytgat, M. Vanelderen, L. Verwilligen, P. and Walsh, S. Zaganidis, N. Basegmez, S. Bruno, G. Caudron, J. Ceard, L. Gil, E. Cortina De Jeneret, J. De Favereau and Delaere, C. Favart, D. Giammanco, A. Gregoire, G. and Hollar, J. Lemaitre, V. Liao, J. Militaru, O. Nuttens, C. Ovyn, S. Pagano, D. Pin, A. Piotrzkowski, K. and Schul, N. Beliy, N. Caebergs, T. Daubie, E. Alves, G. A. and De Jesus Damiao, D. Pol, M. E. Souza, M. H. G. Carvalho, W. Da Costa, E. M. De Oliveira Martins, C. Fonseca De Souza, S. Mundim, L. Nogima, H. Oguri, V. Prado Da Silva, W. L. and Santoro, A. Silva Do Amaral, S. M. Sznajder, A. and Bernardes, C. A. Dias, F. A. Fernandez Perez Tomei, T. R. and Gregores, E. M. Lagana, C. Marinho, F. Mercadante, P. G. and Novaes, S. F. Padula, Sandra S. Darmenov, N. Genchev, V. and Iaydjiev, P. Piperov, S. Rodozov, M. Stoykova, S. and Sultanov, G. Tcholakov, V. Trayanov, R. Dimitrov, A. and Hadjiiska, R. Karadzhinova, A. Kozhuharov, V. Litov, L. and Mateev, M. Pavlov, B. Petkov, P. Bian, J. G. Chen, G. M. and Chen, H. S. Jiang, C. H. Liang, D. Liang, S. Meng, X. Tao, J. Wang, J. Wang, J. Wang, X. Wang, Z. and Xiao, H. Xu, M. Zang, J. Zhang, Z. Ban, Y. Guo, S. and Guo, Y. Li, W. Mao, Y. Qian, S. J. Teng, H. Zhu, B. Zou, W. Cabrera, A. Gomez Moreno, B. Ocampo Rios, A. A. Osorio Oliveros, A. F. Sanabria, J. C. Godinovic, N. and Lelas, D. Lelas, K. Plestina, R. Polic, D. Puljak, I. and Antunovic, Z. Dzelalija, M. Brigljevic, V. Duric, S. and Kadija, K. Morovic, S. Attikis, A. Galanti, M. Mousa, J. and Nicolaou, C. Ptochos, F. Razis, P. A. Finger, M. and Finger, Jr., M. Assran, Y. Khalil, S. Mahmoud, M. A. and Hektor, A. Kadastik, M. Muentel, M. Raidal, M. Rebane, L. Azzolini, V. Eerola, P. Fedi, G. Czellar, S. and Harkonen, J. Heikkinen, A. Karimaki, V. Kinnunen, R. and Kortelainen, M. J. Lampen, T. Lassila-Perini, K. Lehti, S. and Linden, T. Luukka, P. Maenpaa, T. Tuominen, E. and Tuominiemi, J. Tuovinen, E. Ungaro, D. Wendland, L. and Banzuzi, K. Karjalainen, A. Korpela, A. Tuuva, T. and Sillou, D. Besancon, M. Choudhury, S. Dejardin, M. and Denegri, D. Fabbro, B. Faure, J. L. Ferri, F. Ganjour, S. Gentit, F. X. Givernaud, A. Gras, P. de Monchenault, G. Hamel Jarry, P. Locci, E. Malcles, J. Marionneau, M. and Millischer, L. Rander, J. Rosowsky, A. Shreyber, I. and Titov, M. Verrecchia, P. Baffioni, S. Beaudette, F. and Benhabib, L. Bianchini, L. Bluj, M. Broutin, C. Busson, P. Chariot, C. Dahms, T. Dobrzynski, L. Elgammal, S. and de Cassagnac, R. Granier Haguenauer, M. Mine, P. Mironov, C. and Ochando, C. Paganini, P. Sabes, D. Salerno, R. and Sirois, Y. Thiebaux, C. Wyslouch, B. Zabi, A. Agram, J. -L. Andrea, J. Bloch, D. Bodin, D. Brom, J. -M. and Cardaci, M. Chabert, E. C. Collard, C. Conte, E. and Drouhin, F. Ferro, C. Fontaine, J. -C. Gele, D. and Goerlach, U. 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Kirschenmann, H. Klanner, R. and Lange, J. Mura, B. Naumann-Emme, S. Nowak, F. Pietsch, N. Sander, C. Schettler, H. Schleper, P. Schlieckau, E. and Schroeder, M. Schum, T. Schwandt, J. Stadie, H. and Steinbrueck, G. Thomsen, J. Barth, C. Bauer, J. Berger, J. Buege, V. Chwalek, T. De Boer, W. Dierlamm, A. and Dirkes, G. Feindt, M. Gruschke, J. Hackstein, C. and Hartmann, F. Heinrich, M. Held, H. Hoffmann, K. H. Hone, S. Komaragiri, J. R. Kuhr, T. Martschei, D. Mueller, S. and Mueller, Th. Niegel, M. Oberst, O. Oehler, A. Ott, J. Peiffer, T. Quast, G. Rabbertz, K. Ratnikov, F. and Ratnikova, N. Renz, M. Saout, C. Scheurer, A. and Schieferdecker, P. Schilling, F. -P. Schott, G. Simonis, H. J. Stober, F. M. Troendle, D. Wagner-Kuhr, J. Weiler, T. and Zeise, M. Zhukov, V. Ziebarth, E. B. Daskalakis, G. and Geralis, T. Kesisoglou, S. Kyriakis, A. Loukas, D. and Manolakos, I. Markou, A. Markou, C. Mavrommatis, C. and Ntomari, E. Petrakou, E. Gouskos, L. Mertzimekis, T. J. and Panagiotou, A. 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Dugad, S. and Mondal, N. K. Arfaei, H. Bakhshiansohi, H. Etesami, S. M. and Fahim, A. Hashemi, M. Jafari, A. Khakzad, M. and Mohammadi, A. Najafabadi, M. Mohammadi Mehdiabadi, S. Paktinat and Safarzadeh, B. Zeinali, M. Abbrescia, M. Barbone, L. and Calabria, C. Colaleo, A. Creanza, D. De Filippis, N. De Palma, M. Fiore, L. Iaselli, G. Lusito, L. Maggi, G. and Maggi, M. Manna, N. Marangelli, B. My, S. Nuzzo, S. and Pacifico, N. Pierro, G. A. Pompili, A. Pugliese, G. and Romano, F. Roselli, G. Selvaggi, G. Silvestris, L. and Trentadue, R. Tupputi, S. Zito, G. Abbiendi, G. and Benvenuti, A. C. Bonacorsi, D. Braibant-Giacomelli, S. and Brigliadori, L. Capiluppi, P. Castro, A. Cavallo, F. R. and Cuffiani, M. Dallavalle, G. M. Fabbri, F. Fanfani, A. and Fasanella, D. Giacomelli, P. Giunta, M. Grandi, C. and Marcellini, S. Masetti, G. Meneghelli, M. Montanari, A. and Navarria, F. L. Odorici, F. Perrotta, A. Primavera, F. and Rossi, A. M. Rovelli, T. Siroli, G. Travaglini, R. and Albergo, S. 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Barker, A. Duggan, D. Gershtein, Y. Gray, R. Halkiadakis, E. and Hidas, D. Hits, D. Lath, A. Panwalkar, S. Patel, R. and Rose, K. Schnetzer, S. Somalwar, S. Stone, R. Thomas, S. and Cerizza, G. Hollingsworth, M. Spanier, S. Yang, Z. C. and York, A. Eusebi, R. Flanagan, W. Gilmore, J. and Gurrola, A. Kamon, T. Khotilovich, V. Montalvo, R. and Osipenkov, I. Pakhotin, Y. Pivarski, J. Safonov, A. and Sengupta, S. Tatarinov, A. Toback, D. Weinberger, M. and Akchurin, N. Bardak, C. Damgov, J. Jeong, C. and Kovitanggoon, K. Lee, S. W. Libeiro, T. Mane, P. Roh, Y. and Sill, A. Volobouev, I. Wigmans, R. Yazgan, E. and Appelt, E. Brownson, E. Engh, D. Florez, C. Gabella, W. and Issah, M. Johns, W. Kurt, P. Maguire, C. Melo, A. and Sheldon, P. Snook, B. Tuo, S. Velkovska, J. Arenton, M. W. Balazs, M. Boutle, S. Cox, B. Francis, B. and Hirosky, R. Ledovskoy, A. Lin, C. Neu, C. Yohay, R. and Gollapinni, S. Harr, R. Karchin, P. E. Lamichhane, P. and Mattson, M. Milstene, C. Sakharov, A. Anderson, M. and Bachtis, M. Bellinger, J. N. Carlsmith, D. Dasu, S. and Efron, J. Flood, K. Gray, L. Grogg, K. S. Grothe, M. and Hall-Wilton, R. Herndon, M. Herve, A. Klabbers, P. and Klukas, J. Lanaro, A. Lazaridis, C. Leonard, J. and Loveless, R. Mohapatra, A. Palmonari, F. Reeder, D. and Ross, I. Savin, A. Smith, W. H. Swanson, J. Weinberg, M. and CMS Collaboration
Subjects: High Energy Physics::Experiment, Nuclear Experiment
Abstract: A search for supersymmetry is presented using a sample of events with b jets and missing transverse momentum. The search uses a data sample of proton-proton collisions at a centre-of-mass energy of 7TeV, corresponding to an integrated luminosity of 35 pb(-1), collected with the CMS detector. A total of 0.33(-0.33)(+0.43) (stat.) +/- 0.13 (syst.) events is predicted, using control samples in the data, to arise from standard model processes, and one event is observed in the data. Upper limits are set at the 95% confidence level on the cross sections of benchmark supersymmetric models.
Published: 2011

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