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5. Prevalence of musculoskeletal pain among computer users working from home during the COVID-19 pandemic: a cross-sectional survey

Author

Lakshita Gosain, Irshad Ahmad, Moattar Raza Rizvi, Ankita Sharma, and Shobhit Saxena

Subjects
Embryology, General Medicine, Cell Biology, Anatomy, Developmental Biology
Abstract

Background Office employees are at a greater risk for musculoskeletal disorders (MSD) due to their prolonged computer use. In the context of COVID-19, an unanticipated shift to working from home is likely to increase MSD due to a lack of an ergonomic workspace and longer workdays. Aim To explore the prevalence of MSD with work-related risk factors among the computer users working from home during the COVID-19 pandemic. Study design Cross-sectional survey. Methods Computer users working from home for more than 6 hours per day during the COVID-19 lockdown were assessed for possible work-related MSD using web-based survey—Google forms for Nordic Musculoskeletal Questionnaire. Results One hundred twenty one responses from 53 (43.8%) females (25.47 ± 5.72 years) and 68 (56.2%) males (28.65 ± 4.68 years) were included. The female participants were more prone to musculoskeletal pain as compared to males. The neck pain (60.3%), lower back pain (59.5%), and shoulder pain (49.6%) were the most reported body regions affected by work-related MSD. The elbow (18.2%), wrist/hand (35.5%), upper back (42.1%), hips (24.8%), knee (23.1%), and ankle/feet (14%) were the least affected regions. The risk factors associated with MSP includes lack of workplace at home during lockdown, stress after being in one posture, stress in eyes, and mental stress due to work. Conclusions During the lockdown phase, the transition of computer workers from working office environment to home increased the prevalence of MSD more commonly in females than males. There is a need to investigate early detection, prevention, and management options to enhance health outcomes.

Published
2022
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6. Analysis of tectonic deformation on channel morphology through quantitative geomorphic indices and DEM derived drainage system

Author

Dhirendra Singh Bagri and Ankita Sharma

Subjects
Tectonics, geography, geography.geographical_feature_category, Watershed, Tectonic deformation, Drainage system (geomorphology), Drainage basin, General Physics and Astronomy, Terrain, Structural basin, Geomorphology, General Biochemistry, Genetics and Molecular Biology, Channel (geography)
Abstract

Drainage basin dynamics of any river is controlled by geomorphic attributes which include both surface and subsurface characteristics of a watershed. These characteristics comprise erosional and deformational processes affecting the hydrological and morphological conditions of the watershed. Similarly, the tectonic setup of the watershed influences the terrain topography and geomorphology as well. The paper deals with the evaluation of DEM-derived parameters related to morphometry and tectonic setup in the Asan watershed, Doon Valley, Uttarakhand. The assessment of active tectonics in the study area is based on the parameters related to the morphometry and morphotectonic characters of the watershed. These terrain attributes are determined using Cartosat-1 DEM (10 m) using GIS to investigate the structural setting. The parametric evaluation concerning morphometric analysis helps to understand their significance in watershed prioritization and management while the tectonic analysis helps to determine the structural setup and identifying the hazard-prone area, if persists, in the watershed. The study area falls downhill of tectonically active Lesser Himalaya and Siwaliks, make it an ideal location to determine the degree of relative tectonic activity in the area. The average of measured attributes is used to evaluate the combined classification of the Relative Active Tectonic Index (Ri). The outcome reveals that the watershed is tectonically active that experienced a differential rate of tectonism and have a consistence relationship between structural disturbances and basin geometry.

Published
2021
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7. A Preliminary Trial of the Introduction of Computerized Decision Support to Assist Resuscitation of the Severely Injured in a Level 1 Trauma Centre in India

Author

Mahesh C. Misra, Ankita Sharma, Ashish Jhakal, Sanjeev Bhoi, Amit Gupta, Mark Fitzgerald, Joseph P. Mathew, and Yesul Kim

Subjects
medicine.medical_specialty, Resuscitation, Catheter insertion, business.industry, Medical record, Psychological intervention, Vital signs, 030208 emergency & critical care medicine, 030230 surgery, Patient recruitment, 03 medical and health sciences, 0302 clinical medicine, Emergency medicine, medicine, Surgery, Prospective cohort study, business, Cause of death
Abstract

Injury from motor vehicle accidents remains a leading cause of death in India with increasing number of fatalities. Timely delivery of lifesaving interventions is critical for survival and in restoring physical functioning. As a part of the Australia India Trauma Systems Collaboration, the Trauma Reception and Resuscitation (TRR©)-computerized decision support system was implemented in a Level 1 Trauma Centre in India in order to determine whether this system would reduce the time in performing lifesaving interventions and improve vital sign data capture and documentation. This prospective cohort study at the Jai Prakash Narayan Apex Center, All India Institute of Medical Science, New Delhi, recruited a total of 106 participants into two groups: TRR© (76) and controls (30). During the first 30 min of resuscitation, the TRR© group recorded greater sets of vital signs in compared to the controls for medical records. More importantly, the real-time documentation of the vital signs for the TRR© group ensured accuracy for medical records. For lifesaving interventions, oxygen was administered in the TRR© group only if SpO2 < 93%, whereas oxygen was administered as standard of care in the controls. There was no statistical difference in the mean times to endotracheal intubation, intercostal catheter insertion or performance of emergency chest x-ray between the control and TRR© groups. Importantly however, these 3 comparable interventions were performed consistently within a smaller timeframe for patients receiving care with TRR© decision prompts. There was a greater variability in the time taken to perform lifesaving interventions in the control group in comparison to the clinicians assisted with computerized decision prompts. This preliminary study was not powered to measure difference in mortality and patient recruitment was limited to 8 am–5 pm when trained staff could attend to operating the TRR© system.

Published
2021
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8. Early Surgery in Trauma Patients Is a Key Performance Indicator of Outcome—A Case Series Analysis

Author

Narendra Choudhary, Abhinav Kumar, Dinesh Bagaria, Pratyusha Priyadarshini, Santosh Mahindrakar, Biplab Mishra, Subodh Kumar, Amit Gupta, Sushma Sagar, and Ankita Sharma

Subjects
medicine.medical_specialty, business.industry, Trauma center, Cardiac surgery, 03 medical and health sciences, Plastic surgery, 0302 clinical medicine, Interquartile range, Cardiothoracic surgery, 030220 oncology & carcinogenesis, Emergency medicine, Pediatric surgery, medicine, 030211 gastroenterology & hepatology, Surgery, Neurosurgery, Presentation (obstetrics), business
Abstract

We analyzed one feasible timeline of critical surgery within the first hour of admission as a possible intervention, which could be applied in existing trauma systems in Low and middle-income countries (LMIC), and may improve trauma care outcomes. Retrospective analysis of a prospectively maintained data registry under project named TITCO (Towards Improved Trauma Care Outcome) was done at a level one trauma center in India from October 2013 to September 2015. All admitted patients who underwent critical surgery within the first hour of admission were analyzed. These patients were divided in two groups depending upon primary presentation or referred from other facility. Statistical analysis was done between these two groups to compare outcome. Sixty-one (57.6%) patients were directly admitted, whereas forty-five (42.4%) were transferred from other hospitals. The median time from injury to presentation for primary patients was 50 min with interquartile range (IQR) of 40. In referred patient median time gap between the injury to our center (not referring center) was 230 min with IQR of 350. This difference was statistically significant. Both the groups were comparable in terms of injury severity measured by ISS. Major outcome indicators in the form of median ICU and total stay, as well as mortality, were not significantly different. We propose that critical surgery within the first hour of presentation might be a useful hospital-based key performance indicator even in the existing trauma systems in LMIC to improve the outcome of injured patients.

Published
2020
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10. Detection of human papillomavirus infection in oral cancers reported at dental facility: assessing the utility of FFPE tissues

Author

Sukh Mahendra Singh, Dinesh Chandra Doval, Suhail Chhakara, Durgatosh Pandey, Urmi Sarkar, Ankit Goel, Kiran Agarwal, Abhishek Tyagi, Nikita Aggarwal, Kanchan Vishnoi, Alok C. Bharti, Ravi Mehrotra, Tejveer Singh, Mohit Jadli, Gaurav Verma, Shashi Sharma, and Ankita Sharma

Subjects
Oncology, Cancer Research, medicine.medical_specialty, Hematology, business.industry, Incidence (epidemiology), HPV infection, Cancer, General Medicine, Amplicon, medicine.disease, DNA extraction, stomatognathic diseases, Internal medicine, Epidemiology, medicine, business, Oral medicine
Abstract

Incidence of human papillomavirus (HPV)-associated oral cancers is on the rise. However, epidemiological data of this subset of cancers are limited. Dental hospital poses a unique advantage in detection of HPV-positive oral malignancies. We assessed the utility of formalin-fixed paraffin-embedded (FFPE) tissues, which are readily available, for evaluation of high-risk HPV infection in oral cancer. For protocol standardization, we used 20 prospectively collected paired FFPE and fresh tissues of histopathologically confirmed oral cancer cases reported in Oral Medicine department of a dental hospital for comparative study. Only short PCRs (~ 200 bp) of DNA isolated using a modified xylene-free method displayed a concordant HPV result. For HPV analysis, we used additional 30 retrospectively collected FFPE tissues. DNA isolated from these specimens showed an overall 23.4% (11/47) HPV positivity with detection of HPV18. Comparison of HPV positivity from dental hospital FFPE specimens with overall HPV positivity of freshly collected oral cancer specimens (n = 55) from three cancer care hospitals of the same region showed notable difference (12.7%; 7/55). Further, cancer hospital specimens showed HPV16 positivity and displayed a characteristic difference in reported sub-sites and patient spectrum. Overall, using a xylene-free FFPE DNA isolation method clubbed with short amplicon PCR, we showed detection of HPV-positive oral cancer in dental hospitals.

Published
2021
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11. In-silico molecular characterization and mutational analysis of inter-alpha-trypsin inhibitor heavy chain 4 in rheumatoid arthritis

Author

Sagarika Biswas, Ankita Sharma, SoundharaRajan G, ShaineyAlokit Khakha, Pooja Kumari, and Shakti Sahi

Subjects
Signal peptide, 0303 health sciences, Mutation, biology, Chemistry, In silico, 030302 biochemistry & molecular biology, Mutant, Active site, Computational biology, medicine.disease_cause, Proteomics, Epitope, 03 medical and health sciences, Mutant protein, medicine, biology.protein, 030304 developmental biology
Abstract

Inter-alpha-trypsin inhibitor heavy chain (ITIH4) is IL-6-dependent acute phase protein. Increased expression of ITIH4 during acute phase inflammation of Rheumatoid Arthritis (RA) was reported earlier. Analyzing the heavy chain would, therefore, be crucial to understand the regulation and localisation of Serum-derived Hyaluronic acid-Associated Protein (SHAP) complex in acute phase inflamed conditions. In our previous studies, we have computationally constructed the 3D model of ITIH4 and checked its relevance. But further detailed structural annotation of ITIH4 is required to reveal its surface properties, domain characterisation, and molecular level interaction including drug designing. In the present study, we have utilized our constructed high-resolution three-dimensional (3D) model of ITIH4 protein to reveal the associated surface parameters and its functional role based on the structure-based homology search. Signal peptide prediction has been carried out by the Signalp 4.1 server, whereas COFACTOR server has been utilized for the prediction of active site residues, ligand binding residues, and gene ontology and enzyme classification. Immune epitope database (IEDB) analysis resource was used for the identification of antigenic peptides and Disease-Susceptibility-based SAV Phenotype Prediction (SUSPECT) server revealed the mutation prone residues of ITIH4. Present study indicated that mutation L304H and L304P may enable the protein model highly unstable. The molecular dynamic simulation was carried out for a comparative analysis between native and mutant protein. Additionally, interaction studies implicate that ITIH4 may modulate T cell-mediated inflammation in synovial region during RA. In-silico construction of ITIH4 mutants with single amino acid change may prove to be a tool in experimental studies to understand the importance of each functional domain.

Published
2019
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12. Artemisia amygdalina Upregulates Nrf2 and Protects Neurons Against Oxidative Stress in Alzheimer Disease

Author

Rabia Hamid, Bashir A. Ganai, Ankita Sharma, Rohaya Ali, Abubakar Wani, Nasreena Sajjad, Huma Habib, and Sumaya Hassan

Subjects
0301 basic medicine, Antioxidant, medicine.medical_treatment, Pharmacology, medicine.disease_cause, Mice, 0302 clinical medicine, Superoxides, Membrane Potential, Mitochondrial, Neurons, chemistry.chemical_classification, biology, food and beverages, Free Radical Scavengers, General Medicine, Up-Regulation, Neuroprotective Agents, Alzheimer's disease, Oxidation-Reduction, Cell Survival, NF-E2-Related Factor 2, Amyloid beta, Neuroprotection, 03 medical and health sciences, Cellular and Molecular Neuroscience, Phenols, Picrates, Downregulation and upregulation, Alzheimer Disease, Cell Line, Tumor, medicine, Animals, Humans, Cell Shape, Cell Nucleus, Reactive oxygen species, Hydroxyl Radical, Plant Extracts, Biphenyl Compounds, Hydrogen Peroxide, Cell Biology, medicine.disease, biology.organism_classification, Oxidative Stress, 030104 developmental biology, Artemisia, chemistry, biology.protein, Heme Oxygenase-1, 030217 neurology & neurosurgery, Oxidative stress
Abstract

Alzheimer disease is a complex neurodegenerative disorder. It is the common form of dementia in elderly people. The etiology of this disease is multifactorial, pathologically it is accompanied with accumulation of amyloid beta and neurofibrillary tangles. Accumulation of amyloid beta and mitochondrial dysfunction leads to oxidative stress. In this study, neuroprotective effect of Artemisiaamygdalina against H2O2-induced death was studied in differentiated N2a and SH-SY5Ycells. Cells were treated with H2O2 to induce toxicity which was attenuated by Artemisia amygdalina. The nuclear factor erythroid 2-related factor 2 (Nrf2) is an emerging regulator of cellular resistance to oxidants. It controls the basal and induced expression of antioxidant response element-dependent genes. Further, we demonstrated that Artemisia amygdalina protects neurons through upregulation of Nrf2 pathway. Moreover, reactive oxygen species and mitochondrial membrane potential loss formed by H2O2 was attenuated by Artemisia amygdalina. Thus, Artemisia amygdalina may have the possibility to be a therapeutic agent for Alzheimer disease.

Published
2019
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13. Enhanced Production of Phenolic Compounds in Compact Callus Aggregate Suspension Cultures of Rhodiola imbricata Edgew

Author

Om Prakash Chaurasia, Shweta Saxena, Hemant Sood, Sahil Kapoor, Pushpender Bhardwaj, and Ankita Sharma

Subjects
0106 biological sciences, 0301 basic medicine, Staphylococcus aureus, Sucrose, Antioxidant, medicine.medical_treatment, Flavonoid, Bioengineering, Cyclopentanes, 01 natural sciences, Applied Microbiology and Biotechnology, Biochemistry, Antioxidants, 03 medical and health sciences, chemistry.chemical_compound, Murashige and Skoog medium, Anti-Infective Agents, Phenols, Suspensions, Culture Techniques, Rhodiola, Escherichia coli, medicine, Oxylipins, Food science, Molecular Biology, chemistry.chemical_classification, biology, Salidroside, General Medicine, Ascorbic acid, biology.organism_classification, Carbon, Culture Media, 030104 developmental biology, chemistry, Callus, 010606 plant biology & botany, Biotechnology
Abstract

Rhodiola imbricata is a rare medicinal plant of the trans-Himalayan region of Ladakh. It is used for the treatment of numerous health ailments. Compact callus aggregate (CCA) suspension cultures of Rhodiola imbricata were established to counter extinction threats and for production of therapeutically valuable phenolic compounds to meet their increasing industrial demands. The present study also investigated the effect of jasmonic acid (JA) on production of phenolic compounds and bioactivities in CCA suspension cultures. CCA suspension cultures established in an optimized Murashige and Skoog medium supplemented with 30 g/l sucrose, 3 mg/l NAA, and 3 mg/l BAP showed maximum biomass accumulation (8.43 g/l DW) and highest salidroside production (3.37 mg/g DW). Upon 100 μM JA treatment, salidroside production (5.25 mg/g DW), total phenolic content (14.69 mg CHA/g DW), total flavonoid content (4.95 mg RE/g DW), and ascorbic acid content (17.93 mg/g DW) were significantly increased in cultures. In addition, DPPH-scavenging activity (56.32%) and total antioxidant capacity (60.45 mg QE/g DW) were significantly enhanced upon JA treatment, and this was positively correlated with increased accumulation of phenolic compounds. JA-elicited cultures exhibited highest antimicrobial activity against Escherichia coli. This is the first report describing the enhanced production of phenolic compounds and bioactivities from JA-elicited CCA suspension cultures of Rhodiola imbricata.

Published
2018
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14. Identification of suitable internal control genes for transcriptional studies in Eleusine coracana under different abiotic stress conditions

Author

Shanker Lal Kothari, Sumita Kachhwaha, Dinesh Kumar Dahiya, Pradeep Kumar Jatav, Arif Khan, Ankita Sharma, and Atika Agarwal

Subjects
0301 basic medicine, Genetics, Normalization (statistics), biology, Physiology, Abiotic stress, Plant physiology, Plant Science, Eleusine, biology.organism_classification, Salinity, 03 medical and health sciences, 030104 developmental biology, Reference genes, eIF4A, Molecular Biology, Gene
Abstract

Finger millet [Eleusine coracana (L.) Gaertn] is an excellent food and forage crop of arid and semiarid areas in Africa and Asia. It is well adapted to drought, heat, high salinity, poor soil fertility and low pH with an efficient C4 carbon fixation mechanism for high yield potential. To normalize the target gene expression data, the identification of suitable reference genes is essential. Ten candidate reference genes were selected and their expression stability was analyzed in various samples treated with different abiotic stress conditions. Five different statistical algorithms: geNorm, NormFinder, BestKeeper, ΔCt, and RefFinder were used to determine the stability of these genes. Our results revealed GAPDH, EEF1a, ACT and CYC as highly stable reference genes and PP2A and eIF4A as least stable reference genes across all the samples and suggesting that these genes could be used for accurate transcript normalization under abiotic stress. To the best of our knowledge, this is the first report on identification of suitable reference genes for accurate transcript normalization using qRT-PCR in finger millet under abiotic stress.

Published
2018
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15. Solutions of Fisher-Type, Cubic-Boussinesq and 7th-Order Caudrey–Dodd–Gibbon Equations by MVIM

Author

Rajan Arora and Ankita Sharma

Subjects
Standard form, Work (thermodynamics), Partial differential equation, Applied Mathematics, Mathematical analysis, 010103 numerical & computational mathematics, Type (model theory), 01 natural sciences, Computational Mathematics, Variational iteration method, 0103 physical sciences, Order (group theory), Computational Science and Engineering, 0101 mathematics, 010306 general physics, Mathematics
Abstract

In this work, the modified form of He’s variational iteration method (MVIM) is used for the analytical treatment of some non-linear partial differential equations such as Fisher-type equation, cubic Boussinesq equation and seventh-order Caudrey–Dodd–Gibbon equation. The efficiency of the method is demonstrated by the help of numerical results. The exactness and accuracy of the MVIM are also investigated. The method is capable of reducing the size of calculations. The study highlights the power of the MVIM method over the standard form, VIM.

Published
2017
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16. Design and development of vibratory cultivator using optimization algorithms

Author

N. R. N. V. Gowripathi Rao, Ankita Sharma, and Himanshu Chaudhary

Subjects
Mathematical optimization, business.industry, Computer science, General Chemical Engineering, General Engineering, Process (computing), General Physics and Astronomy, Particle swarm optimization, Four-bar linkage, Software, Path (graph theory), General Earth and Planetary Sciences, Systems design, General Materials Science, business, MATLAB, Engineering design process, computer, General Environmental Science, computer.programming_language
Abstract

Tillage system design is one of the important areas of interest for farming community. Oscillatory tillage is one such area which reduces the draft consumption and plays a crucial role to farmers during soil manipulation process. The paper deals to design a vibratory mechanism to provide a continuous motion to the tillage tool for following a particular path adopted from the literature through proper synthesis theory and procedure. A four bar mechanism is designed through proper synthesis procedure to identify the dimensions. Analytical and optimal synthesis method is followed during the design process. Optimization algorithms such as hybrid teaching–learning particle swarm optimization based algorithm (HTLPSO), teaching–learning based algorithm, and particle swarm optimization is used to find the values of the design variables. MATLAB is the software used for the synthesis and analysis process. It is observed in the study that designed four mechanism follows the required path for vibratory tillage operation. The results attained through optimization algorithm in HTLPSO performed better for the required path than other nature-inspired algorithms. Also the developed vibratory cultivator performed better in the field trials.

Published
2019
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17. Optimal design and analysis of oscillatory mechanism for agricultural tillage operation

Author

Himanshu Chaudhary, N. R. N. V. Gowripathi Rao, and Ankita Sharma

Subjects
Optimal design, business.industry, General Chemical Engineering, General Engineering, Mode (statistics), General Physics and Astronomy, Agricultural engineering, Crop cultivation, Tillage, Mechanism (engineering), Agriculture, Trajectory, General Earth and Planetary Sciences, General Materials Science, business, General Environmental Science, Mathematics
Abstract

The paper presents to design a vibratory mechanism for agricultural tillage operation. Agriculture tillage plays an important role for crop cultivation. There are different unit farm operations. Tillage is the mechanical manipulation of soil to obtain suitable soil condition for seed germination and growth. There are two basic soil manipulation processes such as primary and secondary. Draft consumption plays a vital role while performing the operations. Vibratory tillage concept was introduced since 1955 which results in low draft consumption. Tools oscillate in a particular mode of oscillation with certain amplitude and frequency along with the implement forward motion. The objective of the paper is to design an optimal four-bar mechanism for vibratory agricultural tillage operation to trace the desired experimental trajectory by the tillage tool in the field.

Published
2019
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18. Surface modified mesoporous silica polymer nanocomposites for adsorption of dyes from aqueous solution

Author

Amit Dubey and Ankita Sharma

Subjects
Aqueous solution, Materials science, Polymer nanocomposite, Mechanical Engineering, Radical polymerization, Cationic polymerization, 02 engineering and technology, Mesoporous silica, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, chemistry.chemical_compound, Monomer, Adsorption, chemistry, Chemical engineering, Mechanics of Materials, Polymer chemistry, General Materials Science, 0210 nano-technology, Mesoporous material
Abstract

Functionalized mesoporous silica nanocomposites were synthesized via in situ radical polymerization of vinyl monomers (vinylcarbazole, vinyl imidazole and vinyl sulphonic acid) and characterized for adsorption of dyes from aqueous solution. Physicochemical characterization (PXRD, SEM, adsorption studies etc.) of the functionalized nanocomposites showed the presence of mesoporous nature of the nanocomposites. Different adsorption parameters such as adsorption weight, adsorption time, temperature, pH etc., were optimized for adsorption of dyes under environmental friendly conditions. The adsorption studies showed 96.8 and 80.49 % removal for cationic and anionic dyes respectively. Adsorption kinetics of the dyes on the functionalized nanocomposites can be well depicted theoretically by using pseudo-second-order kinetic model.

Published
2016
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19. Milk-derived mammary epithelial cells as non-invasive source to define stage-specific abundance of milk protein and fat synthesis transcripts in native Sahiwal cows and Murrah buffaloes

Author

Pranay Jain, Umesh K Shandilya, Parvesh Kumari, Ashok Kumar Mohanty, Manishi Mukesh, Ranjit S. Kataria, Preeti Verma, Monika Sodhi, Pradeep Jatav, and Ankita Sharma

Subjects
ACACA, Whey protein, biology, Mammary gland, food and beverages, Environmental Science (miscellaneous), biology.organism_classification, Agricultural and Biological Sciences (miscellaneous), Animal science, medicine.anatomical_structure, Lactation, Gene expression, medicine, Colostrum, Original Article, Bubalus, Biotechnology, Regulator gene
Abstract

The molecular physiology of milk production of two important dairy species; Sahiwal cows (Bos indicus) and Murrah buffaloes (Bubalus bubalis) are not fully understood due to constraints in obtaining mammary tissue samples because of sacred and ethical reasons. The present study suggests the use of milk-derived mammary epithelial cells (MECs) as a non-invasive method to understand molecular aspects of lactation biology in dairy animals. A total of 76 MECs were collected from five different lactation periods viz. colostrum (0–2), early (5–20), peak (30–50), mid (90–140) and late lactation (> 215 days) stages from Sahiwal cows and Murrah buffaloes to study the transcription kinetics of milk protein, fat synthesis, and their regulatory genes. Significant changes were observed in milk composition of both dairy species with lactation stages. High mRNA abundance of all milk protein and fat synthesis genes was observed in MECs of Murrah buffaloes as compared to Sahiwal cows. The mRNA abundance of caseins (CSN1S1, CSN1S2, CSN2, and CSN3) and whey protein (LALBA, LF) were higher in early lactation stage. Similarly, the expression of milk fat synthesis genes (SCD, BTN1A1, ACACA, GPAM, FAPB3, FASN) was also high in early lactation stage. The relative abundance of 4 regulatory genes (JAK2, STAT5, SREBF1 and EIF4BP41) remained high during early lactation indicating their regulatory roles in lactogenesis process. Overall, results suggested a significant effect of lactation stages on milk composition and transcription abundance of milk protein and fat synthesis genes. The present study establishes the fact that milk-derived MECs could be utilized as a valuable source to understand mammary gland functioning of native cows and buffaloes.

Published
2019
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20. Vinyl carbazole (VC) functionalized mesoporous silica polymer nanocomposites (SBA/VC) for the antibacterial activity studies

Author

Ankita Sharma, Rajnish Kurchania, and Amit Dubey

Subjects
Nanocomposite, Materials science, Polymer nanocomposite, Mechanical Engineering, Radical polymerization, technology, industry, and agriculture, 02 engineering and technology, Mesoporous silica, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, chemistry.chemical_compound, Adsorption, Monomer, chemistry, Mechanics of Materials, Polymer chemistry, General Materials Science, 0210 nano-technology, Mesoporous material, Antibacterial activity, Nuclear chemistry
Abstract

Vinyl carbazole (VC) functionalized ordered mesoporous silica polymer nanocomposites (SBA/VC) were synthesized by in situ radical polymerization of monomers inside the mesoporous framework and characterized for the antibacterial activity studies against gram positive and gram negative bacteria. Powder X-ray diffraction and N2 adsorption isotherms of SBA/VC nanocomposites showed the presence of mesoporous nature. The antimicrobial activity results showed increasing trend with the increase in the concentration of vinyl carbazole (VC) and the maximum antibacterial activity was achieved with SBA/VC64 nanocomposites.

Published
2016
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21. Ferulic acid functionalized mesoporous silica polymer nanocomposites (SBA/FA) for the adsorption of Cr(VI)

Author

Ankita Sharma, Amit Dubey, G. Robin Wilson, and Divya Sachdev

Subjects
Materials science, Polymer nanocomposite, Mechanical Engineering, Radical polymerization, Inorganic chemistry, 02 engineering and technology, Mesoporous silica, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, Catalysis, Ferulic acid, chemistry.chemical_compound, Monomer, Adsorption, chemistry, Mechanics of Materials, General Materials Science, 0210 nano-technology, Mesoporous material, Nuclear chemistry
Abstract

Ferulic acid (FA) functionalized ordered mesoporous silica (SBA/FA) nanocomposites were synthesized via in situ radical polymerization of vinyl monomers for the adsorption of Cr(VI) toxic ions. Powder X-ray diffraction and N2 adsorption isotherms showed the presence of mesoporous nature of the nanocomposites after functionalization with FA. Different adsorption parameters such as adsorption weight, adsorption time, pH etc. were optimized for adsorption of Cr(VI) ions under environmental friendly conditions. The adsorption studies results showed high adsorption of functionalized nanocomposites (100–172 mg/g) compared to SBA-15 (60 mg/g) materials.

Published
2015
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22. Measurement of electrons from beauty-hadron decays in p-Pb collisions at s N N = 5.02 $$ \sqrt{s_{\mathrm{NN}}}=5.02 $$ TeV and Pb-Pb collisions at s N N = 2.76 $$ \sqrt{s_{\mathrm{NN}}}=2.76 $$ TeV

Author

Christophe Pierre Suire, Vladimir Belyaev, Jai Samuel Nielsen Salzwedel, Supriya Das, Artur Furs, Vladislav Manko, Bogdan Vulpescu, Alla Maevskaya, Grigorii Feofilov, Nachiketa Sarkar, Vladimir Peskov, Dae-Hyeok Kim, Oleg Karavichev, Livio Bianchi, Benjamin Audurier, Mirko Planinic, Federico Cindolo, Ian Gardner Bearden, Lee Stuart Barnby, L. Šándor, Anatoly Tikhonov, Tatsuya Chujo, Kirill Voloshin, Roy Crawford Lemmon, B. Erazmus, Andrea Festanti, Jun Takahashi, Silvia Arcelli, Dmitry Budnikov, Alberto Martin Gago Medina, Victor Jose Gaston Feuillard, Vladimir Ivanov, Jana Bielcikova, Alexey Kuryakin, Filimon Roukoutakis, Audrey Francisco, Andry Malala Rakotozafindrabe, Eugen Mudnic, Oleksandr Kovalenko, Francesca Carnesecchi, Marian Krivda, Igor Pshenichnov, Gideon Francois Steyn, M. Mohisin Khan, I. Das, I. Berceanu, Borge Svane Nielsen, Piero Giubilato, Tuva Ora Herenui Richert, Markus Bernhard Zimmermann, Robert Vertesi, Dariusz Czeslaw Miskowiec, Jorn Henning Putschke, Enrichetta Maria Fiore, Bjarte Kileng, Camilo Ernesto Lara Martinez, Xavier Bernard Lopez, Jaroslav Bielcik, Jan Figiel, Jacek Tomasz Otwinowski, M. R. Cosentino, Grzegorz Andrzej Wilk, Jamila Bashir Butt, Rama Chandra Baral, M. Fasel, Matthias Richter, Franco Meddi, Dmitry Aleksandrov, Raphaelle Marie Bailhache, Franck Manso, Jovan Milosevic, Klaus Barth, Chinorat Kobdaj, Elena Rogochaya, Enrico Fragiacomo, Peter Graham Jones, Henrique Jose Correia Zanoli, Massimiliano Marchisone, Paolo Camerini, Deepa Thomas, Sergey Voloshin, Artem Shangaraev, M. Estienne, Andrey Reshetin, Mikhail Malaev, Mihaela Gheata, Gustavo Conesa Balbastre, Sagarika Swain, Sudipan De, Theo Alexander Broker, Despina Hatzifotiadou, Harald Appelshaeuser, A. Rachevski, Smbat Grigoryan, Rainer Martin Schicker, Giuseppe Trombetta, Peter Martin Jacobs, Jon Christopher Wikne, Alessandro De Falco, Charles E. Hughes, Ramni Gupta, Predrag Buncic, Anders Garritt Knospe, Laszlo Boldizsar, Paola Gianotti, Elisa Meninno, Annelies Marianne Veen, Vito Manzari, Jasper Van Der Maarel, Arvind Khuntia, Viktor Riabov, Lawrence Pinsky, Christian Claude Kuhn, Ewa Gladysz-dziadus, Jan Rak, Dong Jo Kim, Susanta Kumar Pal, W. Park, Alberto Baldisseri, Sukalyan Chattopadhyay, Marcello Lunardon, Matej Oravec, Rahul Ramachandran Nair, Mohamad Tarhini, Andres Gomez Ramirez, Alberica Toia, Sebastian Lehner, P. Cerello, Ernesto Calvo Villar, Andrzej Deloff, Magnus Mager, J. 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Szczepankiewicz, Vasco Miguel Chibante Barroso, Brigitte Cheynis, Min Jung Kweon, Michael Henry Oliver, Laurent Bernard Aphecetche, Constantinos Loizides, Alexander Akindinov, Suharyo Sumowidagdo, Monika Kofarago, Jens Wiechula, Salvatore Aiola, Raymond James Ehlers, Lucia Leardini, D. Watanabe, Thomas Humanic, Uzma Tabassam, Carsten Klein, Herve Borel, Soren Pontoppidan Sorensen, Jochen Mathias Thaeder, Jurgen Schukraft, Vladimir Nikulin, Maria Haiduc, Boris Hippolyte, Per-Ivar Lønne, Michael Andreas Winn, Jinsook Kim, Tomas Wilhelm Snellman, Jinjin Pan, A. K. Bhati, Nikolai Smirnov, Jihyun Bhom, Hideki Hamagaki, Ken Suzuki, Bruno Alessandro, Victor Trubnikov, Rama Narayana Singaraju, Jan Cabala, Anselmo Margotti, H. Caines, Sudhir Raniwala, S. Balasubramanian, Raphael Noel Tieulent, Sedat Altinpinar, T. K. Nayak, Julien Faivre, Tatiana Karavicheva, Jose Garabatos Cuadrado, Fabio Filippo Colamaria, Subikash Choudhury, Denise Aparecida Moreira De Godoy, Xiaowen Ren, Annalisa Mastroserio, Debasish Das, Antonio Uras, Stefania Beole, Mario Rodriguez Cahuantzi, Andile Mothegi Whitehead, Ali Zaman, Haavard Helstrup, Ranbir Singh, Mandeep Kour, Oton Vazquez Doce, Rainer Arno Ernst Renfordt, Andrew Michael Kubera, Danilo Silva De Albuquerque, Petr Nomokonov, Giacinto de Cataldo, Hans Peter Beck, David Horak, Rashmi Raniwala, Tsubasa Okubo, Sonia Parmar, Oliver Werner Arnold, Inayat Rasool Bhat, Marco Marquard, Krzysztof Marek Sielewicz, Malgorzata Anna Janik, Iouri Belikov, Thomas Dietel, Claude Andre Pruneau, Boris Teyssier, Do-Won Kim, Roberto Barbera, Elena Botta, Maria Vasileiou, Zhongbao Yin, Roman Lietava, V. 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Lenti, Lokesh Kumar, Marco Leoncino, Hua Pei, Ulrich Fuchs, Corrado Gargiulo, Manoj Bhanudas Jadhav, Tomas Vanat, Annalisa De Caro, Guy Paic, Yury Sibiryak, Erin Frances Gauger, Premomoy Ghosh, Konstantin Mikhaylov, Kirill Lapidus, Anisa Khatun, Iwona Anna Sputowska, Nur Hussain, Jesse Thomas Buxton, Aditya Nath Mishra, Roberto Divia, Sarita Sahoo, Yvonne Chiara Pachmayer, Alessandro Feliciello, Katherin Shtejer Diaz, Johannes Lehrbach, Mohd Danish Azmi, A. Maire, Anton Jusko, Ivan Kralik, Peter Malzacher, R. Orava, Miroslav Pikna, Mario Sitta, Attiq Ur Rehman, Motoi Inaba, Jin Hee Yoon, Dmitry Blau, C. Roy, M. Vala, Joel Anthony Mazer, Francesca Bellini, Christian Holm Christensen, Michelangelo Agnello, Antonio Juan Rubio Montero, Sergey Gorbunov, Yuko Sekiguchi, Alexandre Shabetai, S. Vigolo, Sanjay K. Ghosh, Diego Mauricio Gomez Coral, Petra Riedler, Sarah Louise La Pointe, Alexander Mamonov, Jan Jadlovsky, Linus Feldkamp, Andres Sandoval, Rune Langøy, Roberta Arnaldi, Alexandru Florin Dobrin, Dhananjaya Thakur, Satoshi Yano, Andrei Ionut Herghelegiu, Heiko Engel, D. R. Gangadharan, Stefan Thomas Heckel, Alexander Deisting, Sean Murray, Jan Wagner, Daniel Berenyi, Paolo Martinengo, Alessandro Ferretti, Ivonne Alicia Maldonado Cervantes, Anthony Robert Timmins, Matthias Bonora, Cristina Terrevoli, Gilda Scioli, Bedangadas Mohanty, Adam Ryszard Kisiel, Guillermo Tejeda Munoz, Costin Grigoras, Pradip Kumar Roy, Abraham Villatoro Tello, Fatiha Lehas, Zhang Chunhui, Alexei Khanzadeev, H. Bøggild, E. G. Ferreiro, Ashpreet Kaur Duggal, Adrian Sevcenco, Lukasz Kamil Graczykowski, Alexander Nyanin, Kgotlaesele Senosi, Michal Sumbera, Basanta Kumar Nandi, Svein Lindal, Alexey Kurepin, Rigoberto Cruz Albino, Ping Yang, Christopher Daniel Anson, Bernhard Skaali, Kristin Fanebust Hetland, L. Lazaridis, Riccardo Russo, Renato Angelo Ricci, Rathijit Biswas, Jozef Ferencei, M. An, Nikola Poljak, Torsten Dahms, Andrea Rossi, Eric Endress, Peter Chochula, and A. S. Gonzalez

Subjects
Physics, Nuclear and High Energy Physics, Particle physics, Large Hadron Collider, 010308 nuclear & particles physics, Hadron, Nuclear matter, 7. Clean energy, 01 natural sciences, Particle identification, Baryon, Nuclear physics, Heavy Ion Experiments, 0103 physical sciences, lcsh:QC770-798, lcsh:Nuclear and particle physics. Atomic energy. Radioactivity, High Energy Physics::Experiment, Rapidity, Impact parameter, Nuclear Experiment, 010306 general physics, Glauber
Abstract

The production of beauty hadrons was measured via semi-leptonic decays at mid-rapidity with the ALICE detector at the LHC in the transverse momentum interval 1

Published
2017
Full Text
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23. Production of $${\Sigma (1385)^{\pm }}$$ Σ ( 1385 ) ± and $${\Xi (1530)^{0}}$$ Ξ ( 1530 ) 0 in p–Pb collisions at $${\sqrt{s_{\mathrm{NN}}}= 5.02}$$ s NN = 5.02 TeV

Author

William Llope, Rafael Peretti Pezzi, Annalisa De Caro, Leticia Cunqueiro Mendez, Erin Frances Gauger, M. E. Connors, Linda Vickovic, A. Nedosekin, Xinye Peng, Nicolo Jacazio, Yonghong Zhang, Lukas Gruber, Kohei Terasaki, Premomoy Ghosh, Konstantin Mikhaylov, Anisa Khatun, Leo Clifford Greiner, Mohammad Ahmad Saleh, Christian Lippmann, Luis Gustavo Pereira, Miroslaw Marek Kielbowicz, Michael Henry Oliver, Laurent Bernard Aphecetche, Iwona Anna Sputowska, Nur Hussain, Jesse Thomas Buxton, David Dobrigkeit Chinellato, F. Ronchetti, Madan M. Aggarwal, Lukas Nellen, David Olle Rickard Silvermyr, Martin Schmidt, Barbara Guerzoni, Peter Christiansen, A. Maire, Anton Jusko, Neelima Agrawal, Corrado Cicalo, Ivan Kralik, Miroslav Pikna, Bruno Alessandro, Priyanka Sett, Johannes Lehrbach, Jorge Mercado-perez, Attiq Ur Rehman, Chaosong Gao, Saikat Biswas, Alexander Kurepin, Marie Germain, In-kwon Yoo, Raul Tonatiuh Jimenez Bustamante, Andrey Vasiliev, Mario Sitta, Enrico Scomparin, H. Caines, Sudhir Raniwala, Tatiana Karavicheva, Subikash Choudhury, Denise Aparecida Moreira De Godoy, Mario Rodriguez Cahuantzi, Motoi Inaba, Jin Hee Yoon, Rishat Sultanov, Peter Kalinak, Valery Punin, S.A. Zaporozhets, Marianna Mazzilli, Adriana Telesca, Michelangelo Agnello, Somnath Kar, Ulrich Michael Frankenfeld, Sebastian Rosado Navarro, Benedetto Di Ruzza, Alice Elisabeth Ohlson, Zuman Zhang, Marcello Borri, Alexander Vodopyanov, Alexandr Tumkin, Alexis Jean-michel Mas, Juan Carlos Cabanillas Noris, Satoshi Yano, Pooja Pareek, Andrea Alici, Yves Roland Schutz, Wisla Carena, Martino Gagliardi, Caterina Deplano, Nirbhay Kumar Behera, Daniel Berenyi, Janet Elizabeth Seger, Andrea Francescon, Sona Pochybova, Anatoly Kolozhvari, Anik Gupta, Peter Chochula, A. S. Gonzalez, Christophe Pierre Suire, Roy Crawford Lemmon, Paolo Martinengo, Alessandro Ferretti, Ivonne Alicia Maldonado Cervantes, Anthony Robert Timmins, Andrea Festanti, Jun Takahashi, D. Di Bari, Jana Bielcikova, Alexei Khanzadeev, Robert Vertesi, Bjarte Kileng, Rama Chandra Baral, Peter Graham Jones, Laura Fabbietti, Daiki Sekihata, Smbat Grigoryan, Rainer Martin Schicker, Marcel Araujo Silva Figueredo, Dario Berzano, Ionut Cristian Arsene, Paul Stankus, Ernesto Calvo Villar, Jihye Song, Arturo Tauro, Andrzej Deloff, Lucina Gabriela Espinoza Beltran, Soyeon Cho, J. Book, Rafay Anwar, Sushanta Tripathy, Andre Augustinus, Fabian Ng, Kyungeon Choi, Anju Bhasin, Florian Herrmann, Adam Ryszard Kisiel, Cynthia Marie Hadjidakis, Horst Sebastian Scheid, M. Irfan, Natalia Kondratyeva, Mateusz Andrzej Ploskon, Vladimir Belyaev, Lukasz Kamil Graczykowski, Guillermo Tejeda Munoz, Sumit Basu, M. Kim, Gines Martinez-Garcia, Grazia Luparello, Paraskevi Ganoti, Paolo Giubellino, Federica Sozzi, Cristian Andrei, Venelin Anguelov, Eliane Epple, Julius Maximilian Gronefeld, Sanjib Muhuri, Costin Grigoras, Leonardo Milano, Pierre Vande Vyvre, Philippe Crochet, Massimiliano Marchisone, Deepa Thomas, Andrey Reshetin, Filippo Costa, Grigorii Feofilov, Oleg Karavichev, Maciej Pawel Szymanski, Antonio Ortiz Velasquez, Stefan Thomas Heckel, Zhuo Zhou, Tinku Sarkar Sinha, Boris Batyunya, Mario Ivan Martinez Hernandez, Stefano Piano, Daniel Michael Muhlheim, Sourav Kundu, Alexander Nyanin, Basanta Kumar Nandi, Svein Lindal, Ping Yang, Christopher Daniel Anson, Gerardo Antonio Herrera Corral, Hermann Franz Degenhardt, Ivan Vorobyev, Eleazar Cuautle Flores, Victor Gonzalez, Goran Simatovic, Dennis Franz Weiser, Petr Zavada, Evgeny Kryshen, Yury Ryabov, Sabyasachi Siddhanta, Peter Braun-Munzinger, Sanjeev Singh Sambyal, Luis Alberto Perez Moreno, Valeriy Pozdniakov, Caio Alves Garcia Prado, Michael Linus Knichel, Suharyo Sumowidagdo, Monika Kofarago, Salvatore Aiola, B. K. Srivastava, Vladimir V. Isakov, Deepika Rathee, R. P. Scharenberg, Christina Markert, Przemyslaw Stefan Rokita, Paul Christoph Bätzing, Youngil Kwon, Mikolaj Krzewicki, Sukalyan Chattopadhyay, Marcello Lunardon, Roberto Preghenella, Pedro Hugo Ferreira Natal Da Luz, Marek Chojnacki, Raymond James Ehlers, Ashik Ikbal Sheikh, Philippe Rosnet, Raffaele Grosso, Alessandro Grelli, Kristin Fanebust Hetland, Svetlana Kushpil, Jogender Saini, Christian Schmidt, Vladimir Nikulin, A. Zichichi, D. Domenicis Gimenez, J. Pluta, Livio Bianchi, Evgeny Ryabinkin, Yongwook Baek, Anatoly Tikhonov, Tatsuya Chujo, Ian Gardner Bearden, Bedangadas Mohanty, Ejiro Naomi Umaka, Rathijit Biswas, Jozef Ferencei, Dmitry Mal'kevich, Andrey Zarochentsev, Ajay Kumar, A. Rakotozafindrabe, Alberto Masoni, Pedro Luis Manuel Podesta Lerma, Miljenko Suljic, Sumit Kumar Saha, Bogdan Theodor Rascanu, Benjamin Audurier, B. Erazmus, Boris Hippolyte, Se Yong Kim, Javier Ernesto Castillo Castellanos, Shuaib Ahmad Khan, Martin Vala, Joel Anthony Mazer, Francesca Bellini, Alexander Kluge, Alexey Kuryakin, Filimon Roukoutakis, Ralf Keidel, Harry Arthur Andrews, Audrey Francisco, Thomas Peitzmann, Tuva Ora Herenui Richert, Markus Bernhard Zimmermann, Alice Zimmermann, Lilit Karayan, Aaron Allan Capon, Peter Levai, Siegfried Valentin Foertsch, Zubayer Ahammed, Federico Cindolo, Amalia Pop, Jussi Samuli Viinikainen, Dmitry Finogeev, Karel Safarik, Tomoya Tsuji, Lais Ozelin De Lima Pimentel, Nora De Marco, Gabriele Gaetano Fronze, Franco Meddi, Dmitry Aleksandrov, Adam Tomasz Matyja, Giacomo Vito Margagliotti, Dmitry Budnikov, Rosario Turrisi, Andrea Rossi, Chitrasen Jena, Dmitry Blau, C. Roy, Imrich Szarka, Christian Holm Christensen, Nicole Bastid, Fatiha Lehas, Sergey Gorbunov, Yuko Sekiguchi, Oton Vazquez Doce, Yasuo Miake, Rainer Arno Ernst Renfordt, Andrew Michael Kubera, Vojtech Petracek, Franck Manso, Petr Nomokonov, David Horak, Rashmi Raniwala, Francesca Carnesecchi, Alessandra Fantoni, M. Mohisin Khan, Eleuterio Spiriti, Dimitar Lubomirov Mihaylov, Chinorat Kobdaj, Pascal Dillenseger, Johan Alme, Luciano Ramello, Zhang Chunhui, Daicui Zhou, Mikhail Malaev, Xiangrong Zhu, Ritsuya Hosokawa, Tyler Harrison Lutz, Bernhard Skaali, Fedor Guber, Constantinos Loizides, Gergely Gabor Barnafoldi, Palash Khan, Angela Badala, Soren Pontoppidan Sorensen, Igor Pshenichnov, Christian Klein-Boesing, I. Das, Rene Bellwied, Annika Passfeld, Borge Svane Nielsen, Jan Cabala, Sibaliso Mhlanga, Ester Anna Rita Casula, Evgeny Kondratyuk, Sudipan De, Alexandru Bercuci, Hyeonjoong Kim, Fiorella Maria Celeste Fionda, Sarah Louise La Pointe, Germano Bonomi, Alexandre Alarcon Do Passo Suaide, Dmitry Yurevich Peresunko, Sarah Julie Porteboeuf, Jitendra Kumar, Alexander Mamonov, Raphaelle Marie Bailhache, Dong Jo Kim, Arseniy Shabanov, Camilo Ernesto Lara Martinez, S. Mahajan, Prabhakar Palni, Jan Figiel, Minjung Kim, Vojtech Pacik, Francesco Noferini, Dieter Roehrich, Ionel Stan, Muhammad Umair Naru, Hartmut Hillemanns, Monika Joanna Jakubowska, Yosuke Watanabe, Jovan Milosevic, Klaus Barth, Artem Shangaraev, Hikari Murakami, Mengliang Wang, Esther Montes Prado, Jørgen André Lien, Seongjoo Lee, M. Cherney, S. Vigolo, Linus Feldkamp, Andres Sandoval, Anand Kumar Dubey, Hans Martin Ljunggren, Matti Mikael Mieskolainen, Rune Langøy, Claude Andre Pruneau, Roberto Barbera, Elena Botta, Zhongbao Yin, Roberta Arnaldi, Alexandru Florin Dobrin, Dhananjaya Thakur, Alexander Deisting, Davide Francesco Lodato, Davide Caffarri, Stefano Bagnasco, Johannes Hendrik Stiller, Yury Pestov, Jaime Norman, Matej Oravec, Giulio Usai, Anjali Sharma, Fernando Scarlassara, Dirk Hutter, Thomas Michael Cormier, Lokesh Kumar, Hua Pei, Michal Meres, Tiziano Virgili, Markus Fasel, Jan Jadlovsky, Andrei Ionut Herghelegiu, Heiko Engel, Andile Mothegi Whitehead, Martin Poghosyan, A. R. Reolon, Barbara Jacak, Alexander Philipp Kalweit, E. G. Ferreiro, Ashpreet Kaur Duggal, Adrian Sevcenco, Stefano Panebianco, Michal Kopcik, Thorsten Sven Kollegger, Domenico Colella, William Edward Witt, N. Grion, Christophe Furget, Jean Willy Andre Cleymans, Volker Lindenstruth, Francesca Soramel, Barbara Antonina Trzeciak, Alberto Caliva, Sylvain Chapeland, Myunggeun Song, Lucia Leardini, Ankhi Roy, Jean-Luc Fernand Charvet, Latchezar Betev, Alexey Bogdanov, Hongbo Zhu, Redmer Alexander Bertens, Danilo Silva De Albuquerque, Alexander Borissov, Edgar Perez Lezama, Arturo Fernandez Tellez, Mona Sharma, Manuel Colocci, Martin Andreas Volkl, Vladimir Samsonov, Vardanush Papikyan, Tsubasa Okubo, Sonia Parmar, Dezso Varga, Andrew John Lowe, Pedro Gonzalez Zamora, Alex Henri Jean Chauvin, D. De Gruttola, Alessandra Lattuca, Jochen Klein, Evgeny Karpechev, D. R. Gangadharan, Wanchaloem Poonsawat, Jai Samuel Nielsen Salzwedel, Vladyslav Litichevskyi, Trine Spedstad Tveter, Markus Keil, Eugen Mudnic, Herve Borel, Sean Murray, M. Ivanov, Jan Wagner, D. Watanabe, Supriya Das, Artur Furs, Matthias Bonora, Sergio Vergara Limon, Nicola Bianchi, Cristina Terrevoli, Meike Charlotte Danisch, Ketil Roeed, Ana Maria Marin, Gilda Scioli, Mihai Petrovici, Pasquale Di Nezza, Federico Antinori, Elisa Meninno, Sanchari Thakur, Christine Nattrass, Giuseppe Pappalardo, Ermanno Vercellin, Alberto Baldisseri, Artem Konevskikh, Tahir Hussain, Debojit Sarkar, Vladislav Manko, Yasser Corrales Morales, Gianluca Aglieri Rinella, Ivan Kisel, Rinaldo Rui, Qiye Shou, Lee Stuart Barnby, Piero Giubilato, Ara Grigoryan, Peter Glassel, R. Scott, Christian Bourjau, Marielle Chartier, Bruno Espagnon, Maria Vasileiou, Gerardus Nooren, Jan Musinsky, Jorn Henning Putschke, Ombretta Pinazza, Hiroki Yokoyama, Miguel Martinez Pedreira, Michal Broz, Alberto Rotondi, V. Paticchio, Vladimir Kovalenko, Nachiketa Sarkar, C. Ceballos Sanchez, Jan Pospíšil, Kirill Lapidus, Thomas Humanic, P. Pillot, Uzma Tabassam, Pradip Kumar Roy, Nicole Alice Martin, Kunal Garg, Antonio Uras, Sandun Pahula Hewage, Stefania Beole, Oliver Werner Arnold, Inayat Rasool Bhat, Maximiliano Puccio, Raimond Snellings, Bernd Stefan Windelband, Renato Aparecido Negrao De Oliveira, Varlen Grabski, Maciej Slupecki, Jens Joergen Gaardhoeje, G. Puddu, Xavier Bernard Lopez, Jaroslav Bielcik, Pietro Cortese, Emilia Leogrande, Abraham Villatoro Tello, James Declan Mulligan, H. Zhang, Kai Oliver Schweda, Sergey Evdokimov, Vladimir Peskov, Jurgen Schukraft, Sang Un Ahn, Valentina Zaccolo, Petra Loncar, Hans Rudolf Schmidt, Subhasis Chattopadhyay, Jeremy John Wilkinson, Francesco Barile, Elena Rogochaya, Enrico Fragiacomo, Victor Trubnikov, Rama Narayana Singaraju, Daniela Fabris, Irais Bautista Guzman, Justin Thomas Blair, Jana Crkovská, Yajun Mao, Viktor Ratza, Jamila Bashir Butt, Marton Vargyas, Antonio Di Mauro, Anders Nils Erik Oskarsson, Andre Mischke, Dagmar Adamová, Maurizio Basile, F. R. Grull, Tomas Vanat, Slavka Jadlovska, Guy Paic, Alberto Collu, Pranjal Sarma, Ilya Selyuzhenkov, Jose Antonio Lucio Martinez, Nima Zardoshti, Alexandre Shabetai, Sanjay K. Ghosh, Jose Ruben Alfaro Molina, Cristiane Jahnke, Joakim Nystrand, Baidyanath Sahoo, Julien Faivre, Marian Krivda, Preeti Dhankher, Hendrik Poppenborg, Christoph Mayer, Sampo Saarinen, Janusz Oleniacz, Christian Claude Kuhn, Samrangy Sadhu, Yury Sibiryak, Benjamin Andreas Hess, Maria Nicassio, Anton Andronic, D. H. Kim, Boris Polishchuk, Pradip Kumar Sahu, Danthasinghe Piyarathna, Tome Anticic, Sergio Arturo Iga Buitron, Carlos Duarte Galvan, Naoto Tanaka, Fabrizio Grosa, Buddhadeb Bhattacharjee, Rosario Nania, Valerii Kondratev, Suh-urk Chung, Liudmila Malinina, Diego Mauricio Gomez Coral, Petra Riedler, Rudiger Haake, Julien Charles Hamon, Stefano Trogolo, Mike Henry Petrus Sas, Mohamad Tarhini, Sebastian Lehner, P. Cerello, Gabor Biro, Naghmeh Mohammadi, Ankita Sharma, Xiaowen Ren, Sergey Filchagin, Marco Bregant, Jacopo Margutti, Boris Wagner, Chiara Bianchin, Aditya Nath Mishra, Roberto Divia, Grzegorz Andrzej Wilk, Jan Hladky, Vladislav Grigoryev, Sarita Sahoo, Yvonne Chiara Pachmayer, Matthias Richter, Alessandro Feliciello, Katherin Shtejer Diaz, Patrick Simon Reichelt, Sergey Nazarenko, Baldo Sahlmuller, Leonid Vinogradov, Gabor Kiss, Tyler Allen Browning, Ismael Cortes Maldonado, Elena Bruna, Andrea Dubla, Ju Hwan Kang, R. Varma, Edith Zinhle Buthelezi, Johanna Stachel, Sergey Nikolaev, Prakhar Garg, Anastasia Maria Barbano, Richard Daniel Majka, Eugenio Scapparone, Ante Bilandzic, Mohd Danish Azmi, Astrid Vauthier, Peter Malzacher, A. Szczepankiewicz, R. Orava, Yaroslav Berdnikov, Katarina Krizkova Gajdosova, Ramona Lea, Panagiotis Christakoglou, Antonio Juan Rubio Montero, Shinichi Hayashi, Jonghan Park, Giuseppe Bruno, Vasco Miguel Chibante Barroso, Luca Barioglio, Brigitte Cheynis, Carsten Klein, Samsul Islam, Philipp Johannes Luettig, Oeystein Djuvsland, Bharati Naik, Matteo Lupi, Nikolay Zavyalov, Felix Reidt, Lawrence Pinsky, D. B. Rana, Marten Ole Schmidt, Susanta Kumar Pal, Austin Vincent Harton, Cvetan Valeriev Cheshkov, Ildefonso Leon Monzon, Radiy Ilkaev, Jihyun Bhom, Hideki Hamagaki, Alla Maevskaya, Giuseppe Simonetti, Ivan Ravasenga, Klaus Johannes Reygers, Astrid Morreale, Yuri Melikyan, Olja Dordic, Ken Suzuki, Surya Prakash Pathak, Anselmo Margotti, Shyam Kumar, Raghunath Sahoo, Fouad Rami, Valerie Ramillien Barret, W. Park, Mikhail Zhalov, Evert Anders Stenlund, Ralf Peter Averbeck, Jacobus Willem Van Hoorne, Mirko Planinic, Dominik Voscek, Hanna Paulina Zbroszczyk, Toru Sugitate, Michele Floris, Serhiy Senyukov, Mohammad Tariq, Oliver Busch, Annalisa Mastroserio, Debasish Das, Andreas Morsch, Kirill Voloshin, Shingo Sakai, Jongsik Eum, Stefan Kirsch, Ali Zaman, Sergey Nikulin, V. Petrov, Shakeel Ahmad, Kgotlaesele Senosi, Michal Sumbera, Jacobus Onderwaater, Silvia Arcelli, Uwe Westerhoff, Domenico Elia, Victor Jose Gaston Feuillard, Ranbir Singh, Vladimir Ivanov, Simon Voigt Nesbø, Mandeep Kour, J. W. Harris, Mauro Gallio, Chiara Oppedisano, Didier Alexandre, Mais Kazim Oglu Suleymanov, Laurent Ducroux, Pragati Sahoo, Alexey Kurepin, L. Lazaridis, Krzysztof Marek Sielewicz, Malgorzata Anna Janik, Junjie Zhu, Gergoe Hamar, Hector Bello Martinez, Antoine Xavier Lardeux, Jerzy Gustaw Bartke, Boris Teyssier, Konstantin Munning, Dariusz Czeslaw Miskowiec, Do-Won Kim, Marco Marquard, Beomsu Chang, Corey James Myers, Sergey Sadovskiy, Riccardo Russo, Renato Angelo Ricci, Piotr Jan Gasik, Vikas Singhal, Elisa Laudi, Sibaji Raha, Filip Erhardt, Chiara Zampolli, Tatiana Drozhzhova, Catalin-Lucian Ristea, R Jefferson Porter, Jinsook Kim, Hongkai Wang, Silvia Masciocchi, M. An, Nikola Poljak, Torsten Dahms, Theo Alexander Broker, Marcelo Gameiro Munhoz, Valeria Muccifora, Sk Noor Alam, Despina Hatzifotiadou, D. Vranic, Vitaly Loginov, Marko Jercic, Alexander Vinogradov, Ganesh Jagannath Tambave, Marco van Leeuwen, Eric Endress, Harald Appelshaeuser, A. Rachevski, Jan de Cuveland, Massimo Masera, Kenta Shigaki, Ayben Karasu Uysal, Catherine Micaela Silvestre, Lidia Maria Gorlich, Kenneth Francis Read, Zaida Conesa del Valle, Paolo Camerini, Sergey Voloshin, Renaud Vernet, Henner Buesching, Erik Brücken, Stefania Bufalino, Podist Kurashvili, Dae Sung Hwang, ShinIchi Esumi, Mario Fusco Girard, Biswarup Paul, Vladimir Kaplin, Vytautas Vislavicius, Jeremi Niedziela, Andrew John Castro, Paulus Gerardus Kuijer, Steffen Georg Weber, Paolo Pagano, Alessandra Maria Mazzoni, Giulio Eulisse, Kishora Nayak, Shu Li, Sonia Rajput, Kilian Eberhard Schwarz, Ruben Shahoyan, Janka Vrlakova, Oksana Shadura, Marek Kowalski, David H. Evans, Antonio Carlos Oliveira da Silva, Aurora Diozcora Vargas Trevino, Peter Zahariev Hristov, Ken Oyama, Friederike Bock, M. A. Lisa, Gyula Bencedi, Giuseppe Trombetta, Peter Martin Jacobs, Jon Christopher Wikne, Alessandro De Falco, Charles E. Hughes, Ramni Gupta, Predrag Buncic, Rafael Derradi De Souza, Wladyslaw Henryk Trzaska, Maitreyee Mukherjee, Madalina-Gabriela Tarzila, Laszlo Boldizsar, Paola Gianotti, Annelies Marianne Veen, Vito Manzari, Satyajit Jena, Jasper Van Der Maarel, Arvind Khuntia, Viktor Riabov, Rajendra Nath Patra, Serpil Yalcin, Diego Stocco, Gennady Zinovjev, Susanna Costanza, Sadhana Dash, Paola La Rocca, Edmundo Javier Garcia-Solis, Ranjit Nayak, Bastian Bathen, Henrik Qvigstad, Orlando Villalobos Baillie, Jan Fiete Grosse-Oetringhaus, Sven Gotovac, Zabulon Vilakazi, Roman Lavicka, Arturo Alejandro Menchaca-Rocha, Igor Altsybeev, Davide Pagano, Jiri Mares, Jesus Guillermo Contreras Nuno, Laszlo Olah, Marek Bombara, Ernst Hellbar, Andreas Michael Mathis, Prabhat Ranjan Pujahari, Peter Strmen, Udo Wolfgang Kebschull, Pascal Dupieux, Vladimir Vechernin, Andrea Dainese, Sergey Fokin, Torsten Alt, Mahmut Ozdemir, Eugenio Nappi, Kristjan Herlache Gulbrandsen, Charalampos Kouzinopoulos, Johannes Peter Wessels, Gustavo Conesa Balbastre, Sagarika Swain, Bernhard Franz Ketzer, Alberica Toia, Magnus Mager, Pietro Antonioli, Rachid Guernane, Luisa Cifarelli, Enrichetta Maria Fiore, Ewa Gladysz-dziadus, Jan Rak, Rahul Ramachandran Nair, Sebastian Zimmermann, Adela Kravcakova, Guido Alexander Willems, Xiaoming Zhang, Taesoo Kim, Camila De Conti, Cristina Bedda, Katie Leanne Graham, Johann Zmeskal, Lucile Ronflette, Eulogio Serradilla Rodriguez, Greeshma Koyithatta Meethaleveedu, Sergey Kiselev, Yury Kharlov, Luciano Musa, Sebastian Klewin, Vladimir Izucheev, Marc Weber, Krzysztof Redlich, Sami Sakari Rasanen, Ashutosh Pandey, Jubin Mitra, Chengxin Zhao, Alberto Martin Gago Medina, Oleksandr Kovalenko, Jacek Tomasz Otwinowski, Salvatore De Pasquale, Teodor Siemiarczuk, Andres Gomez Ramirez, Jiyoung Kim, Crispin Williams, Claudiu Cornel Schiaua, Igor Lakomov, Benjamin Donigus, Sandra Moretto, Andrea Danu, Guillaume Batigne, Ajay Kumar Dash, Hugo Denis Antonio Pereira Da Costa, Xiaomei Li, Helmut Oskar Oeschler, Miguel Angel Diaz Corchero, Volodymyr Yurchenko, Antonija Utrobicic, Renu Bala, Christoph Blume, Andrzej Rybicki, Monika Sharma, Vit Kucera, Ciprian Mihai Mitu, Anar Rustamov, Esther Bartsch, Paolo Bartalini, Giacomo Volpe, Natasha Sharma, Mikhail Ippolitov, Natalia Zhigareva, David Michael Rohr, Mauro Rogerio Cosentino, Jose Garabatos Cuadrado, Fabio Filippo Colamaria, Haavard Helstrup, Giacinto de Cataldo, Hans Peter Beck, Anders Garritt Knospe, Iouri Belikov, Thomas Dietel, Roman Lietava, You Zhou, Sohail Musa Mahmood, Taku Gunji, Francesco Prino, Anton Alkin, Paul Alois Buhler, Jens Wiechula, Mihai Niculescu, Darius Keijdener, Francesco Carena, Ernesto Lopez Torres, Min Jung Kweon, Alexander Akindinov, Per-Ivar Lønne, Tomas Wilhelm Snellman, Jinjin Pan, A. K. Bhati, Nikolai Smirnov, Raphael Noel Tieulent, Markus Ball, Sedat Altinpinar, T. K. Nayak, Arianna Batista Camejo, Robert Helmut Munzer, Saehanseul Oh, Alexander Szabo, Filip Krizek, Branislav Sitar, Barthelemy von Haller, Catia Petta, Sidharth Kumar Prasad, Arild Velure, Kjetil Ullaland, Francesco Riggi, Gianluigi Boca, Panagiota Foka, Mesut Arslandok, Caio Lagana Fernandes, Michal Sefcik, Werner Riegler, Henrique Jose Correa Zanoli, Jennifer Lynn Klay, V. Lenti, Ulrich Fuchs, Corrado Gargiulo, and Manoj Bhanudas Jadhav

Subjects
Physics, Particle physics, Physics and Astronomy (miscellaneous), 010308 nuclear & particles physics, Computer Science::Information Retrieval, Hadron, Astrophysics::Instrumentation and Methods for Astrophysics, Hyperon, Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing), Strangeness, 01 natural sciences, Pion, Excited state, 0103 physical sciences, Transverse momentum, Computer Science::General Literature, Rapidity, Multiplicity (chemistry), Nuclear Experiment, 010306 general physics, Engineering (miscellaneous)
Abstract

The transverse momentum distributions of the strange and double-strange hyperon resonances ([Formula: see text], [Formula: see text]) produced in p-Pb collisions at [Formula: see text] TeV were measured in the rapidity range [Formula: see text] for event classes corresponding to different charged-particle multiplicity densities, [Formula: see text]d[Formula: see text]/d[Formula: see text]. The mean transverse momentum values are presented as a function of [Formula: see text]d[Formula: see text]/d[Formula: see text], as well as a function of the particle masses and compared with previous results on hyperon production. The integrated yield ratios of excited to ground-state hyperons are constant as a function of [Formula: see text]d[Formula: see text]/d[Formula: see text]. The equivalent ratios to pions exhibit an increase with [Formula: see text]d[Formula: see text]/d[Formula: see text], depending on their strangeness content.

Published
2017
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24. Ordered mesoporous silica polymer nanocomposites for the adsorption of bovine serum albumin (BSA)

Author

Neel Mani Srivastava, Amit Dubey, G. Robin Wilson, Ankita Sharma, and Divya Sachdev

Subjects
Materials science, biology, Polymer nanocomposite, Mechanical Engineering, Radical polymerization, Mesoporous silica, Hydrophobic effect, chemistry.chemical_compound, Adsorption, Monomer, chemistry, Chemical engineering, Mechanics of Materials, biology.protein, Organic chemistry, General Materials Science, Bovine serum albumin, Mesoporous material
Abstract

Silica polymer nanocomposites were synthesized via in situ free radical polymerization of vinyl monomers inside mesoporous silica frame work for their potential use in adsorption of bovine serum albumin (BSA). Powder X-ray diffraction studies and adsorption isotherm studies confirmed the mesoporous nature of the nanocomposites. Very high adsorption (6.5–14.2 mg/g) of BSA was observed for functionalized ordered silica nanocomposites (SBA/x). Various adsorption parameters such as adsorbent weight, adsorption time and pH etc. were optimized and possible synergism of hydrophilic/hydrophobic interactions was also discussed.

Published
2014
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25. Electroless Ni-P-PTFE-Al2O3 Dispersion Nanocomposite Coating for Corrosion and Wear Resistance

Author

A. K. Singh and Ankita Sharma

Subjects
Polytetrafluoroethylene, Materials science, Scanning electron microscope, Mechanical Engineering, Metallurgy, engineering.material, Electrochemistry, Indentation hardness, Corrosion, chemistry.chemical_compound, Coating, chemistry, Mechanics of Materials, engineering, General Materials Science, Polarization (electrochemistry), Porosity
Abstract

With the aim to produce a coating having good corrosion and wear resistance alongside hardness but lesser friction coefficient, Ni-P-PTFE-Al2O3 (NiPPA) dispersion coating was developed. This was achieved by introducing nanosized polytetrafluoroethylene (PTFE) and alumina (Al2O3) in the Ni-P matrix deposited on mild steel substrate. The coating was characterized using scanning electron microscopy, energy dispersive analysis of x-ray, and x-ray diffractrometry. Microhardness and wear resistance of the coating was measured using Vicker’s hardness tester and Pin-on-Disc method, respectively. The corrosion behavior was measured using electrochemical polarization and immersion tests with and without exposure in 3.5% NaCl solution. It is observed that codeposition of Al2O3 and PTFE particles with Ni-P coating results in comparatively smooth surface with nodular grains. The NiPPA coating was observed to have moderate hardness between electroless Ni-P-PTFE and Ni-P-Al2O3 coating and good wear resistance with lubricating effect. Addition of both PTFE and Al2O3 is observed to enhance corrosion resistance of the Ni-P coating. However, improvement in corrosion resistance is more due to addition of Al2O3 than PTFE. Continuous exposure for 10-20 days in corrosive solution is found to deteriorate corrosion protection properties of the coating.

Published
2013
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26. Electroless Ni-P and Ni-P-Al2O3 Nanocomposite Coatings and Their Corrosion and Wear Resistance

Author

Avneesh K. Singh and Ankita Sharma

Subjects
Materials science, Nanocomposite, Scanning electron microscope, Mechanical Engineering, Metallurgy, Composite number, Abrasive, engineering.material, Corrosion, Coating, Mechanics of Materials, Conversion coating, engineering, General Materials Science, Adhesive
Abstract

In an effort to utilize beneficial aspects of nanoparticles in providing corrosion and wear resistance, electroless Ni-P and Ni-P-Al2O3 nanocomposite coatings were produced. Alumina particles with various contents from 5 to 20 g/L in bath were co-deposited within Ni-P deposits on mild steel (ms) substrate. Coatings were characterized by scanning electron microscopy (SEM) for morphology, energy dispersive analysis of x-ray EDAX for analyzing elemental composition and x-ray diffractometry for investigating the structural changes of their components. Electrochemical and immersion measurements were used to analyze corrosion behavior of the coatings in 3.5% NaCl solution. Wear resistance of the coating was measured by pin-on-disc method. The results indicated that the Ni-P-Al2O3 coatings provide the high hardness as compare to the Ni-P coating. Corrosion and wear resistance of coatings is observed to be superior to that of ms. Corrosion protection properties of the coatings are found to be affected with continuous exposure to the electrolyte. Coating with high concentration of alumina is exhibiting high wear resistance than Ni-P coating. Wear mechanism in case of Ni-P coating appears to be adhesive type and seems to change to abrasive type on introduction of alumina.

Published
2012
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