4,184 results on '"Chi Y"'
Search Results
102. Secondary Structure Prediction Using SVM and Clustering.
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Shing-Hwang Doong and Chi Y. Yeh
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- 2004
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103. Association between Healthy Eating Index-2015 and prostate enlargement: A cross-sectional study of the National and Nutrition Examination Survey 2001–2008
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Xing-peng Di, Chi Yuan, and Xin Wei
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health eating index ,prostate enlargement ,national health and nutrition examination survey ,vegetable ,dairy ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Background: Benign prostate hyperplasia (BPH) occurs in elder men globally with high prevalence. Human diet and lifestyle aroused great attention in the prevalence of BPH. Prostate enlargement (PE) is a major symptom of BPH. Objectives: To elaborate the effect of total diet quality for adults from the United States, we investigated the association between Health Eating Index (HEI)-2015 and the risk of PE in adults from the National Health and Nutrition Examination Survey (NHANES). Methods: This cross-sectional study was conducted based on NHANES 2001–2008. Participants who reported a PE history were included. We conducted a logistic regression analysis to investigate the association between HEI-2015 and PE. Results: A total of 4,866 male participants aged 40 and above were enrolled. Compared with Q1 of HEI-2015, no significant differences were found in adjusted models. Higher vegetables intake (Odds ratio [OR] = 1.073; 95% confidence interval [95%CI] 1.015 to 1.134, P = 0.02) and higher total dairy intake (OR = 1.034; 95%CI 1.009 to 1.061, P = 0.01) were significantly related with higher risk of PE. Conclusions: There was no significant difference between HEI-2015 and PE after full adjustment. Total vegetables and dairy product might be associated with higher risk of PE and needed further validation.
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- 2024
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104. Multiple Liver Metastases in Malignant Insulinoma: A Case Report
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LIAO Jinhao, GAO Yuting, WANG Xiang, WANG Zhiwei, XU Qiang, ZHAO Yuxing, CHI Yue, MAO Jiangfeng, and YANG Hongbo
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hypoglycemia ,malignant insulinoma ,multidisciplinary treatment ,Medicine - Abstract
Malignant insulinoma is a kind of rare and challenging neuroendocrine tumor. It is often accompanied by distant metastasis, among which liver metastasis is most common, and the prognosis is often non-promising. In this paper, we report a case of multiple liver metastases from malignant insulinoma. The patient, a 70-year-old male, was admitted to the hospital due to "episodic consciousness disorder for more than four months." Blood glucose monitoring revealed recurrent hypoglycemia in the early morning, after meals, and at night. Pancreatic perfusion CT and dynamic enhanced MRI of the liver revealed a mass in the uncinate process of the pancreatic head and multiple liver metastases. Percutaneous liver biopsy confirmed the diagnosis of insulinoma. After multidisciplinary discussions, hepatic artery embolization and radiofrequency ablation were performed in stages, in combination with everolimus treatment. Thereafter, the enhanced CT demonstrated that some liver metastases shrank. The patient had regular meals, and the blood sugar gradually increased and remained normal thereafter. This article discusses this case's clinical characteristics and multidisciplinary collaborative diagnosis and treatment, aiming to provide experience for the comprehensive clinical diagnosis and treatment of malignant insulinoma patients.
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- 2024
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105. Interfacial reaction characteristics and mechanisms during dissimilar friction stir lap welding of pure copper and Al0.1CoCrFeNi alloy
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Huijie Zhang, Jian Miao, Kun Wang, Chi Yu, Ruibin Mei, and Xiaoping Lin
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Copper ,High entropy alloy ,Friction stir lap welding ,Interfacial reaction ,Mining engineering. Metallurgy ,TN1-997 - Abstract
In order to explore the weldability and widen the applicability of high entropy alloys (HEAs), dissimilar friction stir lap welding of pure copper and Al0.1CoCrFeNi alloy was investigated in this research. The results indicate that a sound dissimilar weld without tunnels and voids is produced, where a ∼20 μm thick interfacial layer is evident at the Cu-HEA interface. The lap joint is fractured at the upper Cu sheet rather than the lap surface during tensile shear test, suggesting an effective bonding of the dissimilar materials. The lap weld roughly consists of three layers along the plate thickness direction, i.e. welds of Cu, HEA and Cu-HEA interface, respectively. The interface of weld, which has experienced the most severe Cu-HEA interaction during welding, is characterized by uniformly distributed and highly recrystallized ultra-fine grains (∼0.79 μm). Meanwhile, intermetallic compounds particles (Al13Cr2 and Al13Co4) ranging in size of 150∼400 nm are generated at the fine grain boundaries. Fast diffusion of Al, Cr and Co elements and easy segregation of these elements during welding result in the formation of the particles. The sufficient DDRX and the pinning effect of particles are responsible for the formation of ultra-fine grains in the weld interface. The present study lays a theoretical foundation for the joining of conventional Cu and the multi-component HEA, which contributes to the improvement of HEA availability in the field of manufacturing industry.
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- 2024
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106. Prognosis of ischemic stroke patients with both aortic atheroma and cardioembolic sources
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Jae Wook Jung, Minyoul Baik, JaeWook Jeong, Il Hyung Lee, Kwang Hyun Kim, Jaeseob Yun, Chi Young Shim, Geu-Ru Hong, Young Dae Kim, Ji Hoe Heo, and Hyo Suk Nam
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Aortic atheroma ,Transesophageal echocardiography ,Cardioembolic stroke ,Prognosis ,Medicine ,Science - Abstract
Abstract This study aimed to investigate the relationship between complex aortic plaque (CAP) and short-term as well as long-term outcomes following cardioembolic stroke. CAP is a known risk factor for occurrence and recurrence of ischemic stroke. However, the association of CAP on cardioembolic stroke remains unclear. This was retrospective study using prospective cohort of consecutive patients with cardioembolic stroke who underwent transesophageal echocardiography. The functional outcome was evaluated using the modified Rankin Scale score at 3 months, and long-term outcomes were assessed by recurrence of ischemic stroke and occurrence of major adverse cardiovascular events (MACE). Among 759 patients with cardioembolic stroke, 91 (12.0%) had CAP. Early ischemic stroke recurrence within 3 months was associated with CAP (p = 0.025), whereas CAP was not associated with functional outcome at 3 months (odd ratio 1.01, 95% confidence interval [CI] 0.57–1.84, p = 0.973). During a median follow-up of 3.02 years, CAP was significantly associated with ischemic stroke recurrence (hazard ratio = 2.68, 95% CI 1.48–4.88, p = 0.001) and MACE occurrence (hazard ratio = 1.61, 95% CI 1.03–2.51, p = 0.039). In conclusion, CAP was associated with early ischemic stroke recurrence and poor long-term outcomes in patients with cardioembolic stroke. It might be helpful to consider transesophageal echocardiography for patients with cardioembolic stroke to identify CAP.
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- 2024
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107. The use of surface immobilization of P-selectin glycoprotein ligand-1 on mesenchymal stem cells to facilitate selectin mediated cell tethering and rolling
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Lo, Chi Y., Antonopoulos, Aristotelis, Dell, Anne, Haslam, Stuart M., Lee, Techung, and Neelamegham, Sriram
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- 2013
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108. Landscape of NOTCH1 Mutations and Co-occurring Biomarker Alterations in Chronic Lymphocytic Leukemia
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Fatima Zahra Jelloul, Richard Yang, Sofia Garces, Rashmi Kanagal-Shamanna, Chi Y. Ok, Sanam Loghavi, Mark J. Routbort, Zhuang Zuo, C. Cameron Yin, Kristen Floyd, Roland L. Bassett, William Wierda, Nitin Jain, Philip Thompson, Rajyalakshmi Luthra, L. Jeffrey Medeiros, and Keyur P. Patel
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Cancer Research ,Oncology ,Mutation ,Humans ,Hematology ,Receptor, Notch1 ,Prognosis ,Leukemia, Lymphocytic, Chronic, B-Cell ,Article ,Biomarkers - Abstract
NOTCH1 is one of the most frequently mutated genes in chronic lymphocytic leukemia and has emerged as a marker of poor prognosis. In addition to coding NOTCH1 mutations involving exon 34, non-coding NOTCH1 mutations involving the 3' UTR have been described in a limited number of chronic lymphocytic leukemia (CLL) patients and were associated with adverse outcomes. In this study, 1574 CLL patients were assessed using targeted sequencing with a 29 gene panel and the results were correlated with prognostic characteristics. NOTCH1 mutations were detected in 252 (16%) patients, including both coding (220/252, 14%), non-coding (24/252, 1.5%) and a mixture of coding and non-coding (8/252, 0.5%) NOTCH1 mutations. NOTCH1 mutations were more commonly seen in patients with unmutated IGHV, ZAP70 positivity and CD38 positivity. Mixed NOTCH1 mutations were also more commonly seen in patients with unmutated IGHV and ZAP70. There was no association between mixed NOTCH1 mutations and CD38 expression in this cohort. The most common cytogenetic alteration detected in patients with coding and mixed NOTCH1 mutations was trisomy 12, whereas del13q was the most common cytogenetic alteration detected in patients with non-coding NOTCH1 mutation. The most common gene mutations co-occurring with coding NOTCH1 mutations were: TP53 (23.2%), SF3B1 (16.4%) and SPEN (10%). The most common gene mutations co-occurring with non-coding NOTCH1 mutations were: SF3B1 11(34.4%), ATM 4(12.5%) and TP53 4(12.5%). CLL patients with clonal coding and non-coding NOTCH1 mutations had a significantly shorter time-to-first treatment than patients with wild type NOTCH1 (4.3 vs 10.0 years and 0.9 vs 10.0 years respectively, p 0.05). Similarly, CLL patients with subclonal coding NOTCH1 mutations had a significantly shorter time-to-first treatment than patients with wild type NOTCH1 (5.6 vs 10.0 years, p 0.05). CLL patients with subclonal non-coding NOTCH1 mutations also had a shorter time-to-first treatment than patients with wild type NOTCH1 mutations, however, the difference was not significant (5.1 vs 10.0 years, p = 0.15). These data confirm that both coding and non-coding NOTCH1 mutations carry adverse prognostic impact and need to be included in sequencing assays performed for the prognostic workup of CLL patients.
- Published
- 2022
109. Scoping carbon dioxide removal options for Germany–What is their potential contribution to Net-Zero CO2?
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Borchers, Malgorzata, Thrän, Daniela, Chi, Y., Dahmen, N., Dittmeyer, R., Dolch, T., Dold, C., Förster, Johannes, Herbst, M., Heß, D., Kalhori, A., Koop-Jakobsen, K., Li, Z., Mengis, N., Reusch, T.B., Rhoden, I., Sachs, T., Schmidt-Hattenberger, C., Stevenson, A., Thoni, Terese Elisabeth, Wu, J., Yeates, C., Borchers, Malgorzata, Thrän, Daniela, Chi, Y., Dahmen, N., Dittmeyer, R., Dolch, T., Dold, C., Förster, Johannes, Herbst, M., Heß, D., Kalhori, A., Koop-Jakobsen, K., Li, Z., Mengis, N., Reusch, T.B., Rhoden, I., Sachs, T., Schmidt-Hattenberger, C., Stevenson, A., Thoni, Terese Elisabeth, Wu, J., and Yeates, C.
- Abstract
The Paris climate agreement outlines that, to meet its temperature goal, we need to balance anthropogenic greenhouse gas emissions with sinks. Carbon Dioxide Removal (CDR) is considered a key element to reaching that goal. There are currently a wide variety of CDR measures available. Their implementation, and accordingly their potential, however, depends on site specific conditions, such as biophysical conditions, availability of infrastructure, social acceptance, regulatory frameworks and policy instruments in place. In our study we investigated various near-to-market CDR options for Germany, which we present in the form of thirteen dedicated model concepts. They cover technical CO2 removal (two models of direct air carbon capture, i.e. DACC), hybrid solutions (six bioenergy with carbon capture technologies, i.e., BECC) and five options for natural sink enhancement, so-called Nature-Based Solutions (NBS). Our estimates for their CO2 removal potentials in 2050 range from 0.4 to 30 million tonnes CO2, depending on the option. Ten of thirteen model concepts provide technical removal potentials higher than 1 million tonnes CO2 per year. To complement the necessary information on technology-based and hybrid options we also provide an overview on possible solutions for CO2 storage for Germany. Taking biophysical conditions and infrastructure into account, northern Germany seems a preferable area for deployment of many concepts. However, for their successful implementation further socio-economic analysis, clear regulations, and policy incentives are necessary.
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- 2022
110. Considering equity in priority setting using transmission models:Recommendations and data needs
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Quaife, M., Medley, G. F., Jit, M., Drake, T., Asaria, M., van Baal, P., Baltussen, R., Bollinger, L., Bozzani, F., Brady, O., Broekhuizen, H., Chalkidou, K., Chi, Y. L., Dowdy, D. W., Griffin, S., Haghparast-Bidgoli, H., Hallett, T., Hauck, K., Hollingsworth, T. D., McQuaid, C. F., Menzies, N. A., Merritt, M. W., Mirelman, A., Morton, A., Ruiz, F. J., Siapka, M., Skordis, J., Tediosi, F., Walker, P., White, R. G., Winskill, P., Vassall, A., Gomez, G. B., Quaife, M., Medley, G. F., Jit, M., Drake, T., Asaria, M., van Baal, P., Baltussen, R., Bollinger, L., Bozzani, F., Brady, O., Broekhuizen, H., Chalkidou, K., Chi, Y. L., Dowdy, D. W., Griffin, S., Haghparast-Bidgoli, H., Hallett, T., Hauck, K., Hollingsworth, T. D., McQuaid, C. F., Menzies, N. A., Merritt, M. W., Mirelman, A., Morton, A., Ruiz, F. J., Siapka, M., Skordis, J., Tediosi, F., Walker, P., White, R. G., Winskill, P., Vassall, A., and Gomez, G. B.
- Abstract
Objectives: Disease transmission models are used in impact assessment and economic evaluations of infectious disease prevention and treatment strategies, prominently so in the COVID-19 response. These models rarely consider dimensions of equity relating to the differential health burden between individuals and groups. We describe concepts and approaches which are useful when considering equity in the priority setting process, and outline the technical choices concerning model structure, outputs, and data requirements needed to use transmission models in analyses of health equity. Methods: We reviewed the literature on equity concepts and approaches to their application in economic evaluation and undertook a technical consultation on how equity can be incorporated in priority setting for infectious disease control. The technical consultation brought together health economists with an interest in equity-informative economic evaluation, ethicists specialising in public health, mathematical modellers from various disease backgrounds, and representatives of global health funding and technical assistance organisations, to formulate key areas of consensus and recommendations. Results: We provide a series of recommendations for applying the Reference Case for Economic Evaluation in Global Health to infectious disease interventions, comprising guidance on 1) the specification of equity concepts; 2) choice of evaluation framework; 3) model structure; and 4) data needs. We present available conceptual and analytical choices, for example how correlation between different equity- and disease-relevant strata should be considered dependent on available data, and outline how assumptions and data limitations can be reported transparently by noting key factors for consideration. Conclusions: Current developments in economic evaluations in global health provide a wide range of methodologies to incorporate equity into economic evaluations. Those employing infectious disease models n
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- 2022
111. Understanding ground and excited-state molecular structure in strong magnetic fields using the maximum overlap method.
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Wibowo, Meilani, Huynh, Bang C., Cheng, Chi Y., Irons, Tom J. P., and Teale, Andrew M.
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MAGNETIC structure ,MOLECULAR structure ,MAGNETIC fields ,POTENTIAL energy surfaces ,CONSTRAINED optimization - Abstract
The maximum overlap method (MOM) provides a simple but powerful approach for performing calculations on excited states by targeting solutions with non-Aufbau occupations from a reference set of molecular orbitals. In this work, the MOM is used to access excited states of H 3 + and H 3 in strong magnetic fields. The lowest 1 A 1 ′ , 1 E ′ and 3 E ′ states of H 3 + in the absence of a field are compared with the corresponding states in strong magnetic fields. The changes in molecular structure in the presence of the field are examined by performing excited state geometry optimisations using the MOM. The 3 E ′ state is significantly stabilised by the field, becoming the ground state in strong fields with a preferred orientation perpendicular to the applied field. Its potential energy surface evolves from being repulsive to bound, with an equilateral equilibrium geometry. In contrast, the 1 A 1 ′ state is destabilised and its structure distorts to an isosceles form with the longest H−H bond parallel to the applied field. Comparisons are made with the 4 A 2 ′ state of H
3 , which also becomes bound with an equilateral geometry at high fields. The structures of the high-spin ground states are rationalised by orbital correlation diagrams constructed using constrained geometry optimisations. [ABSTRACT FROM AUTHOR]- Published
- 2023
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112. L’économie chinoise au bord du déraillement ?
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Chi, Y-Ling
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- 2012
113. Pyrolysis Product Evolution Characteristics of Bio-Ferment Residue Using Thermogravimetric Analysis, Fourier Transform Infrared Spectroscopy, and Mass Spectrometry
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Du, Y., Jiang, X., Ma, X., Liu, X., Lv, G., Jin, Y., Wang, F., Chi, Y., and Yan, J.
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- 2015
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114. The Use of Cost-Effectiveness Thresholds for Evaluating Health Interventions in Low- and Middle-Income Countries From 2015 to 2020: A Review
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Kazibwe, Joseph, Gheorghe, Adrian, Wilson, David, Ruiz, Francis, Chalkidou, Kalipso, and Chi, Y-Ling
- Published
- 2022
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115. Microgel Encapsulated Mesoporous Silica Nanoparticles for Releasing Wnt16 to Synergistically Treat Temporomandibular Joint Osteoarthritis
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Yan Zhu, Lingyan Cao, Mu Yuan, Xuzhuo Chen, Xinru Xie, Minhan Li, Chi Yang, Xiansong Wang, and Zhigui Ma
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biofunctional hydrogel ,mesoporous silica nanoparticle ,temporomandibular joint osteoarthrosis ,Wnt16, Wnt/β‐catenin ,Science - Abstract
Abstract Temporomandibular joint osteoarthritis (TMJOA) is a commonly encountered degenerative joint disease in oral and maxillofacial surgery. Recent studies have shown that the excessive unbalanced activation of Wnt/β‐catenin signaling is connected with the pathogenesis of TMJOA and due to the inability to inhibit the over‐activated Wnt pathway, while Wnt16‐deficient mice has a more severe Knee OA. However, the efficacy of direct intra‐TMJ injection of Wnt16 for the relief of TMJOA is still not directly confirmed. Moreover, small‐molecule drugs such as Wnt16 usually exhibit short‐lived efficacy and poor treatment adherence. Therefore, in order to obtain a stable release of Wnt16 both in the short and long term, this study fabricates a double‐layer slow‐release Wnt16 carrier based on mesoporous silica nanospheres (MSNs) encased within hyaluronic acid (HA) hydrogels. The biofunctional hydrogel HA/Wnt16@MSN is analyzed both in vitro and in vivo to evaluate the treatment of TMJOA. As a result, it shows superior pro‐cartilage matrix restoration and inhibition of osteoclastogenesis ability, and effectively inhibits the over‐activation of the Wnt/β‐catenin pathway. Taken together, biofunctional hydrogel HA/Wnt16@MSN is a promising candidate for the treatment of TMJOA.
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- 2024
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116. SntB triggers the antioxidant pathways to regulate development and aflatoxin biosynthesis in Aspergillus flavus
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Dandan Wu, Chi Yang, Yanfang Yao, Dongmei Ma, Hong Lin, Ling Hao, Wenwen Xin, Kangfu Ye, Minghui Sun, Yule Hu, Yanling Yang, and Zhenhong Zhuang
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Aspergillus flavus ,SntB ,ChIP-seq ,RNA-seq ,CatC ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
The epigenetic reader SntB was identified as an important transcriptional regulator of growth, development, and secondary metabolite synthesis in Aspergillus flavus. However, the underlying molecular mechanism is still unclear. In this study, by gene deletion and complementation, we found SntB is essential for mycelia growth, conidial production, sclerotia formation, aflatoxin synthesis, and host colonization. Chromatin immunoprecipitation sequencing (ChIP-seq) and RNA sequencing (RNA-seq) analysis revealed that SntB played key roles in oxidative stress response of A. flavus, influencing related gene activity, especially catC encoding catalase. SntB regulated the expression activity of catC with or without oxidative stress, and was related to the expression level of the secretory lipase (G4B84_008359). The deletion of catC showed that CatC participated in the regulation of fungal morphogenesis, reactive oxygen species (ROS) level, and aflatoxin production, and that CatC significantly regulated fungal sensitive reaction and AFB1 yield under oxidative stress. Our study revealed the potential machinery that SntB regulated fungal morphogenesis, mycotoxin anabolism, and fungal virulence through the axle of from H3K36me3 modification to fungal virulence and mycotoxin biosynthesis. The results of this study shed light into the SntB-mediated transcript regulation pathways of fungal mycotoxin anabolism and virulence, which provided potential strategy to control the contamination of A. flavus and its aflatoxins.
- Published
- 2024
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117. Influence of local scour on the dynamic responses of OWTs under wind-wave loads
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Yong Yao, Mumin Rao, Chi Yu, Zhichao Wu, Cheng Zhang, and Tianyu Wu
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offshore wind turbines ,local scour ,wave loads ,wind loads ,dynamic analysis ,Science ,General. Including nature conservation, geographical distribution ,QH1-199.5 - Abstract
Offshore wind turbines (OWTs) often operate in complex marine environments, where they are not only subjected to wind and wave loads, but also adversely affected by scour. Therefore, it is of great significance to explore the effect of scour on the dynamic responses of OWTs under external loads to ensure structural safety, improve performance, and extend service life. In this study, a comprehensive numerical model of a 5-MW OWT, including tower, monopile, and soil-structure interaction (SSI) systems, is established by using ABAQUS platform. Aerodynamic loads is generated using blade element momentum, while wave loads is generated using the P-M spectral. The depth of scour is obtained based on on-site measured data. A comparative analysis is conducted between fixed foundations and SSI systems when conducting dynamic response analysis of OWTs under wave loads. Subsequently, the effect of scour on dynamic responses of OWTs under aerodynamic and wave loads is investigated. Results demonstrate that SSI can significantly influence the natural frequency and dynamic responses of the OWT. Therefore, it is essential to thoroughly consider SSI when evaluating the dynamic response of the OWT with local scour. The tower-top displacement and acceleration of the OWT with show a significant increasing trend compared to the non-scoured OWT. An increase in scour depth leads to higher maximum stress and stress amplitude in the steel monopile, which could potentially cause fatigue issues and should be given due attention.
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- 2024
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118. Real-time power system dispatch scheme using grid expert strategy-based imitation learning
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Siyang Xu, Jiebei Zhu, Bingsen Li, Lujie Yu, Xueke Zhu, Hongjie Jia, Chi Yung Chung, Campbell D. Booth, and Vladimir Terzija
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Real-time dispatch ,Imitation learning ,Grid export strategy ,N-1 security operation ,Reinforcement learning ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 - Abstract
With large-scale grid integration of renewable energy sources (RES), power grid operations gradually exhibit the new characteristics of high-order uncertainty, leading to significant challenges for system operational security. Traditional model-driven generation dispatch methods require large computational resources, whereas the widely concerned Reinforcement Learning (RL)-based methods lead to issues such as slow training speed due to the high complexity and dimension of processed grid state information. For this reason, this paper proposes a novel Grid Expert Strategy Imitation Learning (GESIL)-based real-time (5 min intervals in this paper) dispatch method. Firstly, a grid model is established based on the graph theory. Secondly, a pure rule-based grid expert strategy (GES) considering detailed power grid operations is proposed. Then, the GES is combined with the established model to obtain a GESIL agent using imitation learning by offline–online training, which can produce specific grid dispatch decisions for real-time. By designing a graph theory-based grid model, a model-driven purely rule-based GES, and embedding a penalty factor-based loss function into IL offline–online training, GESIL ultimately achieves high training speed, high solution speed, and strong generalization capability. A modified IEEE 118-node system is employed to compare the proposed GESIL to traditional dispatch method and RL method. Results show that GESIL has significantly improved computational efficiency by approximately 17 times and training speed by 14.5 times. GESIL can more stably and efficiently compute real-time dispatch decisions of grid operations, enhancing the optimization effect in terms of transmission overloading mitigation, transmission loading optimization, and power balancing control.
- Published
- 2024
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119. Bacterioruberin extract from Haloarchaea Haloferax marinum: Component identification, antioxidant activity and anti‐atrophy effect in LPS‐treated C2C12 myotubes
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Hyeju Lee, Eui‐Sang Cho, Chi Young Hwang, Lei Cao, Mi‐Bo Kim, Sang Gil Lee, and Myung‐Ji Seo
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Biotechnology ,TP248.13-248.65 - Abstract
Abstract Carotenoids are natural pigments utilized as colourants and antioxidants across food, pharmaceutical and cosmetic industries. They exist in carbon chain lengths of C30, C40, C45 and C50, with C40 variants being the most common. Bacterioruberin (BR) and its derivatives are part of the less common C50 carotenoid group, synthesized primarily by halophilic archaea. This study analysed the compositional characteristics of BR extract (BRE) isolated from ‘Haloferax marinum’ MBLA0078, a halophilic archaeon isolated from seawater near Yeoungheungdo Island in the Republic of Korea, and investigated its antioxidant activity and protective effect on lipopolysaccharide (LPS)‐induced C2C12 myotube atrophy. The main components of BRE included all‐trans‐BR, monoanhydrobacterioruberin, 2‐isopentenyl‐3,4‐dehydrorhodopin and all‐trans‐bisanhydrobacterioruberin. BRE exhibited higher antioxidant activity and DNA nicking protection activity than other well‐known C40 carotenoids, such as β‐carotene, lycopene and astaxanthin. In C2C12 myotubes, LPS treatment led to a reduction in myotube diameter and number, as well as the hypertranscription of the muscle‐specific ubiquitin ligase MAFbx and MuRF1. BRE mitigated these changes by activating the Akt/mTOR pathway. Furthermore, BRE abolished the elevated cellular reactive oxygen species levels and the inflammation response induced by LPS. This study demonstrated that ‘Hfx. marinum’ is an excellent source of natural microbial C50 carotenoids with strong antioxidant capacity and may offer potential protective effects against muscle atrophy.
- Published
- 2024
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120. Hippocampal Sparing Radiotherapy in adults with Primary Brain Tumors: A comparative planning and dosimetric study using IMPT, IMRT and 3DCRT
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Aka, P, Taylor, R, Hugtenburg, R, Lambert, J, Powell, J, Bevolo, T, Gao, M, Gondi, V, Hartsell, W.H, Bolsi, A, Beer, J, Belosi, M.F, Siewert, D, Lomax, A.J, Weber, D.C, Huang, Y.J, Huang, C.C, Chao, P.J, Liu, C, Shang, H, Ding, X, Wang, Y, Mammar, H, Froelich, Sébastien, Alapetite, Claire, Bolle, Stéphanie, Calugaru, Valentin, Feuvret, Loic, Helfre, Sylvie, Champion, Laurence, Goudjil, Farid, Dendal, Remi, Engelholm, S.A, Munck Af Rosenschold, P, Kristensen, I, Smulders, B, Muhic, A, Alkner, S, Jacob, E, Engelholm, S, Aljabab, S, Lui, A, Wong, T, Liao, J, Laramore, G, Parvathaneni, U, Kharouta, M, Pidikiti, R, Jesseph, F, Smith, M, Dobbins, D, Mattson, D, Choi, S, Mansur, D, Machtay, M, Bhatt, A, Lütgendorf-Caucig, C, Dunavölgyi, R, Georg, P, Perpar, A, Fussl, C, Konstantinovic, R, Ulrike, M, Piero, F, Eugen, H, Vidal, M, Gerard, A, Barnel, C, Maneval, D, Herault, J, Claren, A, Doyen, J, Dendale, R, Toutee, A, Pasquie, I, Goudjil, F, Lumbroso Lerouic, L, Levy, C, Desjardins, L, Cassoux, N, Elisei, G, Pella, A, Calvi, G, Ricotti, R, Tagaste, B, Valvo, F, Ciocca, M, Via, R, Mastella, E, Baroni, G, Saotome, N, Yonai, S, Makishima, H, Hara, Y, Inaniwa, T, Sakama, M, Kanematsu, N, Tsuji, H, Furukawa, T, Shirai, T, Sauerwein, W, Finger, P.T, Gallie, B, Gavrylyuk, Y, Thariat, J, Salleron, J, Maschi, C, Fevrier, E, Caujolle, J.P, Hofverberg, P, Angellier, G, Peyrichon, M.L, Breneman, J, Esslinger, H, Pater, L, Vatner, R, Habrand, J.L, Stefan, D, Lesueur, P, Kao, W, Véla, A, Geffrelot, J, Tessonnier, T, Balosso, J, Mahé, M.A, Lim, P.S, Rompokos, V, Chang, Y.C, Royle, G, Gaze, M, Gains, J, Vennarini, S, Francesco, F, Rombi, B, Amichetti, M, Schwarz, M, Lorentini, S, Mee, T, Burnet, N.G, Crellin, A, Kirkby, N.F, Smith, E, Kirkby, K.J, Roggio, M, Buwenge, M, Melchionda, F, Ammendolia, I, Ronchi, L, Cammelli, S, Morganti, A.G, Youn, S.H, Kim, J.Y, Park, H.J, Shin, S.H, Lee, S.H, Hong, E.K, Czerska, K, Winczura, P, Wejs-Maternik, J, Blukis, A, Antonowicz-Szydlowska, M, 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Choy, H, Miyashiro, I, Bush, D, Chuong, M, Kozarek, J, Rubens, M, Larson, G, Vargas, C, Hung, S.P, Hsieh, C.E, Huang, B.S, Tsang, N.M, Smith, N, Viehman, J, Harmsen, W, Elswick, S, Boughey, J, Harless, C, Jimenez, R, Hickey, S, DePauw, N, Ho, A, Taghian, A, MacDonald, S, Meek, A, Hedrick, S, Baliga, S, Gallotto, S, Lewy, J, Patteson, B, Speroni, S, Omsberg, A, Tarbell, N, Musolino, P, Yock, T, Indelicato, D, Rotondo, R, Mailhot, R, Uezono, H, Bradfield, S, Agarwal, V, Gillies, C, Gosling, A, Casares-Magaz, O, Eskildsen, S.F, Lassen, Y, Hasle, H, Tofting-Olesen, K, Alapetite, C, Puget, S, Nauraye, C, Beccaria, K, Bolle, S, Doz, F, Sainte-Rose, C, Bouffet, E, Zerah, M, Wu, J, Qiu, X, Hua, W, Mao, Y, Frakulli, R, Kramer, P.H, Glas, M, Blase, C, Tippelt, S, Konrath, L, Gruber, N, Schallerbauer-Peter, A, Mock, U, Niyazi, M, Niemierko, A, Schapira, E, Kim, V, Oh, K.S, Hwang, W.L, Busse, P.M, Loeffler, J.S, Shih, H.A, Appel, H, Tseng, Y.D, Tsai, H, Sinesi, C, Rossi, C, Badiyan, S, Kotecha, R, Pike, L, Horick, N, Yeap, B, Franck, K, Wang, I, Loeffler, J, McKenna, M, Shih, H, Kountouri, M, Kole, A.J, Murray, F.R, Kliebsch, U, Combescure, C, iannalfi, A, Riva, G, Dougherty, J, Kruse, J, Iott, M, Brown, P, Olivier, K, Brodin, P, Kabarriti, R, Schechter, C, Kalnicki, S, Garg, M, Tomé, W, Lu, J.J, Chen, P.J, Dhanireddy, B, Severo, C, Lee, C.H, Lin, C.R, Rosier, L, Mathis, T, DeLaney, T, Lin, S, O’Meara, E, Powell, T, Hong, T, Hall, D, Liu, A, Ntentas, G, Dedeckova, K, Darby, S, Cutter, D, Zapletalova, S, Chen, Y.L, Miao, R, Lee, H, Hsiao-Ming, L, Choy, E, Cote, G, Eulitz, J, Lutz, B, Enghardt, W, Lühr, A, Mcmahon, S, Prise, K, Sung Hyun, L, Tansho, R, Mizushima, K, Warmenhoven, J.W, Hufnagl, A, Friedrich, T, Deycmar, S, Gruber, S, Dörr, W, Pruschy, M, Waissi, W, Burckel, H, Nicol, A, Noel, G, Yousef, I, Koizumi, M, Santa Cruz, G.A, González, S.J, Longhino, J, Provenzano, L, Oña, P, Rao, M, Cantarelli, M.D.L.Á, Leiras, A, Olivera, M.S, Alessandrini, P, Brollo, F, Boggio, E, Costa, H, Ventimiglia, R, Binia, S, Nievas, S.I, Langle, Y, Eijan, A.M, Colombo, L.L, Kawai, K, Nakamura, H, Natsuko, K, Masaki, H, Nakada, M, Furuse, M, Miyatake, S.I, Koivunoro, H, Kankaanranta, L, González, S, Joensuu, H, Sokol, O, Hild, S, Wiedemann, J, Köthe, A, Perry, D, Batie, M, Mascia, A, Sertorio, M, Luhr, A, Suckert, T, Müller, J, Beyreuther, E, Gotz, M, Haase, R, Schürer, M, Tillner, F, von Neubeck, C, Davis, A, Sishc, B, Saha, J, Ding, L, Story, M, Wagner, S, Kim, S.Y, Geary, S, Woodruff, T, Xu, T, Meng, Q, Gilchrist, S, Perentesis, J.P, Zheng, Y, Wells, S.I, Kong, Y, Liu, Y, Geng, Y, Knoll, M, Schwager, C, Schlegel, J, Schnölzer, M, Ding, L.H, Aroumougame, A, Chen, B, Saha, D, Pompos, A, Carter, R, Nickson, C, Thomson, J, Hill, M, Rodrigues, D, Snider, J, Sharma, A, Zakhary, M, Kara, L, Vujaskovic, Z, Dykstra, M, Best, T, Keane, F, Khandekar, M, Fintelmann, F, Willers, H, Singh, P, Eley, J, Malyapa, R, Mahmood, J, Hårdemark, B, Sandison, G.A, Wootton, L.S, Miyoaka, R.S, Laramore, G.E, Yang, P, van der Weide, H, Maduro, J, Heesters, M, Gawryszuk, A, Davila-Fajardo, R, Langendijk, H, Eckhard, M, Maxwell, A, VanNamen, K, Cashin, M, Jacovic, A, Dunn, M, kim, T, Jung, J, Kim, J, Swerdloff, S, Saunders, A, Thomas, J, Kidani, T, Okada, A, Tomida, K, Pennington, H, Xiaoqiang, L, Weigang, H, An, Q, Di, Y, Craig, S, Inga, G, Peyman, K, Xuanfeng, D, Cunningham, C, de Kock, M, Slabbert, J, Panaino, C.M, Phoenix, B, Regan, P.H, Shearman, R, Collins, S.M, Taylor, M.J, Grayson, M, Kato, K, Choi, H, Jang, J.W, Shin, W.G, Min, C.H, McMahon, S, Padilla Cabal, F, Fragoso, J.A, Resch, A.F, Katsis, A, Girdhani, S, Marshall, A, Jackson, I, Bentzen, S, Parry, R, Gantz, S, Schellhammer, S, Hoffmann, A, Delorme, R, Dos Santos, M, Salmon, R, Öden, J, Bullivant, K, Rucksdashal, R, Ferret, E, Covington, F, Rice, S, Decesaris, C, Siddiqui, O, Kowalski, E, Samanta, S, and Rothwell, B
- Subjects
Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0642 ,Physics: Absolute and Relative DosimetryPTC58-0180 ,Biology: Biology and Clinical InterfacePTC58-0685 ,Physics: Commissioning New FacilitiesPTC58-0385 ,Physics: 4D Treatment and DeliveryPTC58-0546 ,Clinics: EyePTC58-0714 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0528 ,Physics: Quality Assurance and VerificationPTC58-0507 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0661 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0221 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0531 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0653 ,Biology: Drug and Immunotherapy CombinationsPTC58-0163 ,Clinics: Sarcoma - LymphomaPTC58-0055 ,Biology: Drug and Immunotherapy CombinationsPTC58-0166 ,Clinics: CNS / Skull BasePTC58-0198 ,Physics: Treatment PlanningPTC58-0421 ,Clinics: PediatricsPTC58-0560 ,General: New HorizonsPTC58-0709 ,Physics: Treatment PlanningPTC58-0664 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0286 ,Physics: Treatment PlanningPTC58-0666 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0346 ,Physics: Treatment PlanningPTC58-0547 ,Physics: Treatment PlanningPTC58-0308 ,Physics: Treatment PlanningPTC58-0549 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0111 ,Physics: Absolute and Relative DosimetryPTC58-0050 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0587 ,Biology: Biology and Clinical InterfacePTC58-0454 ,Physics: Absolute and Relative DosimetryPTC58-0052 ,Physics: Commissioning New FacilitiesPTC58-0395 ,Physics: 4D Treatment and DeliveryPTC58-0534 ,Physics: Dose Calculation and OptimisationPTC58-0072 ,Physics: 4D Treatment and DeliveryPTC58-0533 ,Physics: 4D Treatment and DeliveryPTC58-0538 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0113 ,Physics: Quality Assurance and VerificationPTC58-0633 ,Physics: Treatment PlanningPTC58-0431 ,Physics: Beam Delivery and Nozzle DesignPTC58-0230 ,Biology: Mathematical Modelling SimulationPTC58-0179 ,Clinics: Head and Neck / EyePTC58-0365 ,Physics: Treatment PlanningPTC58-0319 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0697 ,Biology: Biology and Clinical InterfacePTC58-0663 ,Physics: Commissioning New FacilitiesPTC58-0240 ,Physics: Adaptive TherapyPTC58-0177 ,Physics: Commissioning New FacilitiesPTC58-0363 ,Physics: Commissioning New FacilitiesPTC58-0487 ,Physics: 4D Treatment and DeliveryPTC58-0209 ,Physics: 4D Treatment and DeliveryPTC58-0206 ,Clinics: CNS / Skull BasePTC58-0294 ,Physics: Commissioning New FacilitiesPTC58-0127 ,Biology: Mathematical Modelling SimulationPTC58-0068 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0062 ,Physics: 4D Treatment and DeliveryPTC58-0692 ,Physics: Quality Assurance and VerificationPTC58-0723 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0494 ,Physics: Treatment PlanningPTC58-0643 ,Physics: Treatment PlanningPTC58-0521 ,Physics: Treatment PlanningPTC58-0402 ,Physics: Treatment PlanningPTC58-0405 ,Clinics: Head and Neck / EyePTC58-0273 ,Clinics: GIPTC58-0397 ,Physics: Treatment PlanningPTC58-0648 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0489 ,Physics: Quality Assurance and VerificationPTC58-0617 ,Physics: Quality Assurance and VerificationPTC58-0616 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0668 ,Clinics: CNS / Skull BasePTC58-0188 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0625 ,Physics: Treatment PlanningPTC58-0654 ,Physics: Treatment PlanningPTC58-0655 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0133 ,Clinics: PediatricsPTC58-0313 ,Physics: Treatment PlanningPTC58-0659 ,Poster AbstractsClinics: CNSPTC58-0290 ,Physics: Commissioning New FacilitiesPTC58-0064 ,Physics: Adaptive TherapyPTC58-0396 ,Physics: Dose Calculation and OptimisationPTC58-0281 ,Physics: Quality Assurance and VerificationPTC58-0427 ,Physics: Quality Assurance and VerificationPTC58-0669 ,General: New Horizons SessionPTC58-0191 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0217 ,Physics: Quality Assurance and VerificationPTC58-0303 ,Physics: Quality Assurance and VerificationPTC58-0665 ,Clinics: Sarcoma - LymphomaPTC58-0495 ,Physics: Dose Calculation and OptimisationPTC58-0398 ,Physics: Quality Assurance and VerificationPTC58-0667 ,Physics: Quality Assurance and VerificationPTC58-0425 ,Physics: Quality Assurance and VerificationPTC58-0541 ,Physics: Treatment PlanningPTC58-0584 ,Physics: Quality Assurance and VerificationPTC58-0540 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0163 ,Physics: Treatment PlanningPTC58-0224 ,Physics: Treatment PlanningPTC58-0229 ,Clinics: PediatricsPTC58-0249 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0555 ,Clinics: PediatricPTC58-0463 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0556 ,Physics: Absolute and Relative DosimetryPTC58-0498 ,Physics: Commissioning New FacilitiesPTC58-0078 ,Physics: Dose Calculation and OptimisationPTC58-0270 ,Physics: Dose Calculation and OptimisationPTC58-0032 ,Physics: Dose Calculation and OptimisationPTC58-0274 ,Physics: 4D Treatment and DeliveryPTC58-0614 ,Physics: Dose Calculation and OptimisationPTC58-0026 ,Clinics: Head and Neck / EyePTC58-0280 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0091 ,Physics: Treatment PlanningPTC58-0593 ,Biology: Drug and Immunotherapy CombinationsPTC58-0012 ,Physics: Dose Calculation and OptimisationPTC58-0025 ,Physics: Dose Calculation and OptimisationPTC58-0146 ,Clinics: Sarcoma - LymphomaPTC58-0261 ,Physics: Treatment PlanningPTC58-0110 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0733 ,Physics: Quality Assurance and VerificationPTC58-0554 ,Physics: Treatment PlanningPTC58-0597 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0330 ,Physics: Treatment PlanningPTC58-0115 ,Physics: Treatment PlanningPTC58-0598 ,Physics: Absolute and Relative DosimetryPTC58-0040 ,Physics: Absolute and Relative DosimetryPTC58-0282 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0399 ,Physics: Absolute and Relative DosimetryPTC58-0283 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0569 ,Clinics: GUPTC58-0647 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0506 ,Physics: Commissioning New FacilitiesPTC58-0047 ,Physics: Dose Calculation and OptimisationPTC58-0067 ,Clinics: GUPTC58-0409 ,Physics: Dose Calculation and OptimisationPTC58-0065 ,Biology: BNCT Poster Discussion SessionsPTC58-0586 ,Physics: Absolute and Relative Dosimetry PTC58-0393 ,Physics: Image GuidancePTC58-0712 ,Physics: Quality Assurance and VerificationPTC58-0645 ,Physics: Treatment PlanningPTC58-0683 ,Biology: BNCT Poster Discussion SessionsPTC58-0107 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0266 ,Physics: Monitoring and Modelling MotionPTC58-0530 ,Biology: BNCT Poster Discussion SessionsPTC58-0341 ,Physics: Commissioning New FacilitiesPTC58-0172 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0456 ,Physics: Dose Calculation and OptimisationPTC58-0170 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0458 ,Physics: Absolute and Relative DosimetryPTC58-0034 ,Physics: Quality Assurance and VerificationPTC58-0417 ,Physics: Quality Assurance and VerificationPTC58-0413 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0492 ,Physics: Dose Calculation and OptimisationPTC58-0168 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0724 ,Physics: Treatment PlanningPTC58-0694 ,Physics: Adaptive TherapyPTC58-0005 ,Physics: Treatment PlanningPTC58-0696 ,Physics: Treatment PlanningPTC58-0453 ,Physics: Adaptive TherapyPTC58-0366 ,Clinics: BreastPTC58-0197 ,Physics: Beam Delivery and Nozzle DesignPTC58-0652 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0017 ,Physics: Treatment PlanningPTC58-0338 ,Clinics: Head and Neck / EyePTC58-0539 ,General: New Horizons SessionPTC58-0390 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0651 ,General: New HorizonsPTC58-0660 ,Physics: Dose Calculation and OptimisationPTC58-0360 ,Physics: Image GuidancePTC58-0297 ,Physics: 4D Treatment and DeliveryPTC58-0147 ,Scientific: RTTPTC58-0388 ,Physics: Dose Calculation and OptimisationPTC58-0484 ,General: New HorizonsPTC58-0301 ,Physics: Dose Calculation and OptimisationPTC58-0485 ,General: New HorizonsPTC58-0304 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0532 ,Clinics: GIPTC58-0575 ,General: New HorizonsPTC58-0306 ,Physics: Quality Assurance and VerificationPTC58-0589 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0344 ,Physics: Quality Assurance and VerificationPTC58-0225 ,Physics: Treatment PlanningPTC58-0381 ,Physics: Quality Assurance and VerificationPTC58-0467 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0585 ,Physics: Commissioning New FacilitiesPTC58-0416 ,Physics: Quality Assurance and VerificationPTC58-0228 ,Physics: Quality Assurance and VerificationPTC58-0348 ,Physics: Dose Calculation and OptimisationPTC58-0234 ,Physics: Quality Assurance and VerificationPTC58-0101 ,Physics: Treatment PlanningPTC58-0386 ,Physics: Dose Calculation and OptimisationPTC58-0118 ,Physics: Treatment PlanningPTC58-0265 ,Physics: Dose Calculation and OptimisationPTC58-0119 ,Clinics: GIPTC58-0218 ,Physics: Treatment PlanningPTC58-0267 ,Physics: Treatment PlanningPTC58-0387 ,Clinics: BreastPTC58-0142 ,Physics: Treatment PlanningPTC58-0269 ,Physics: Beam Delivery and Nozzle DesignPTC58-0620 ,Clinics: PediatricsPTC58-0048 ,Physics: Quality Assurance and VerificationPTC58-0220 ,Physics: Quality Assurance and VerificationPTC58-0461 ,Physics: Treatment PlanningPTC58-0029 ,Physics: Absolute and Relative DosimetryPTC58-0571 ,Physics: Image GuidancePTC58-0046 ,Clinics: GUPTC58-0557 ,Physics: Absolute and Relative DosimetryPTC58-0211 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0131 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0373 ,General: New HorizonsPTC58-0411 ,Physics: Dose Calculation and OptimisationPTC58-0595 ,Clinics: CNS / Skull BasePTC58-0361 ,General: New HorizonsPTC58-0414 ,General: New HorizonsPTC58-0537 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0628 ,Physics: Treatment PlanningPTC58-0271 ,Physics: Commissioning New FacilitiesPTC58-0307 ,Physics: Quality Assurance and VerificationPTC58-0359 ,Physics: Quality Assurance and VerificationPTC58-0354 ,General: New HorizonsPTC58-0419 ,Physics: Treatment PlanningPTC58-0035 ,Biology: BNCTPTC58-0474 ,Clinics: GIPTC58-0460 ,Biology: BNCTPTC58-0596 ,Clinics: GIPTC58-0222 ,Physics: Image GuidancePTC58-0193 ,Clinics: PediatricPTC58-0312 ,Clinics: GUPTC58-0441 ,Clinics: LungPTC58-0701 ,Clinics: EyePTC58-0536 ,Clinics: GUPTC58-0205 ,Physics: Dose Calculation and OptimisationPTC58-0140 ,Clinics: GUPTC58-0208 ,Physics: Dose Calculation and OptimisationPTC58-0020 ,Physics: Image GuidancePTC58-0195 ,Poster AbstractsClinics: CNSPTC58-0717 ,Physics: Quality Assurance and VerificationPTC58-0325 ,Physics: Dose Calculation and OptimisationPTC58-0015 ,Physics: Commissioning New FacilitiesPTC58-0634 ,General: New HorizonsPTC58-0646 ,Physics: Quality Assurance and VerificationPTC58-0566 ,Physics: Dose Calculation and OptimisationPTC58-0134 ,Physics: Dose Calculation and OptimisationPTC58-0376 ,Biology: Mathematical Modelling SimulationPTC58-0462 ,Biology: BNCTPTC58-0567 ,General: New HorizonsPTC58-0527 ,Physics: Treatment PlanningPTC58-0482 ,Clinics: GI, GU, BreastPTC58-0693 ,Physics: Commissioning New FacilitiesPTC58-0518 ,Physics: Quality Assurance and VerificationPTC58-0686 ,Physics: Quality Assurance and VerificationPTC58-0202 ,Physics: Quality Assurance and VerificationPTC58-0322 ,Physics: Quality Assurance and VerificationPTC58-0564 ,Physics: Quality Assurance and VerificationPTC58-0680 ,Physics: Treatment PlanningPTC58-0247 ,Physics: Quality Assurance and VerificationPTC58-0682 ,Physics: Quality Assurance and VerificationPTC58-0440 ,Biology: Translational and BiomarkersPTC58-0514 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0178 ,Clinics: EyePTC58-0520 ,Physics: Absolute and Relative DosimetryPTC58-0231 ,Clinics: Head and Neck / EyePTC58-0424 ,Physics: Absolute and Relative DosimetryPTC58-0471 ,Physics: Absolute and Relative DosimetryPTC58-0356 ,Physics: Dose Calculation and OptimisationPTC58-0491 ,Physics: Dose Calculation and OptimisationPTC58-0250 ,Physics: Commissioning New FacilitiesPTC58-0650 ,Biology: Biology and Clinical InterfacePTC58-0719 ,Physics: Absolute and Relative DosimetryPTC58-0232 ,Physics: Absolute and Relative DosimetryPTC58-0353 ,General: New HorizonsPTC58-0511 ,Physics: Quality Assurance and VerificationPTC58-0219 ,Physics: Absolute and Relative DosimetryPTC58-0238 ,General: New HorizonsPTC58-0512 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0401 ,Clinics: PediatricPTC58-0688 ,Physics: Quality Assurance and VerificationPTC58-0457 ,Physics: Quality Assurance and VerificationPTC58-0214 ,Physics: Quality Assurance and VerificationPTC58-0459 ,General: New HorizonsPTC58-0516 ,Physics: Treatment PlanningPTC58-0372 ,Physics: Treatment PlanningPTC58-0011 ,Physics: Treatment PlanningPTC58-0254 ,Physics: Quality Assurance and VerificationPTC58-0332 ,Clinics: CNS / Skull BasePTC58-0468 ,Biology: Mathematical Modelling SimulationPTC58-0357 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0649 ,Physics: Dose Calculation and OptimisationPTC58-0006 ,Physics: Quality Assurance and VerificationPTC58-0212 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0565 ,Physics: Treatment PlanningPTC58-0018 ,Physics: Treatment PlanningPTC58-0019 ,Clinics: BreastPTC58-0576 ,Clinics: Head and Neck / EyePTC58-0335 ,Clinics: Head and Neck / EyePTC58-0577 ,General: New HorizonsPTC58-0621 ,Physics: Absolute and Relative DosimetryPTC58-0426 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0268 ,Physics: Absolute and Relative DosimetryPTC58-0423 ,Physics: Treatment PlanningPTC58-0184 ,Physics: Quality Assurance and VerificationPTC58-0149 ,Clinics: GIPTC58-0378 ,Clinics: GIPTC58-0257 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0662 ,General: New HorizonsPTC58-0627 ,Physics: Treatment PlanningPTC58-0186 ,Physics: Treatment PlanningPTC58-0185 ,Physics: Quality Assurance and VerificationPTC58-0144 ,Biology: BNCT Poster Discussion SessionsPTC58-0602 ,Physics: Treatment PlanningPTC58-0189 ,Physics: Dose Calculation and OptimisationPTC58-0315 ,Clinics: Head and neckPTC58-0300 ,General: New Horizons SessionPTC58-0347 ,Physics: Image GuidancePTC58-0082 ,Clinics: BreastPTC58-0443 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0629 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0007 ,Physics: Commissioning New FacilitiesPTC58-0472 ,Clinics: GI, GU, BreastPTC58-0515 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0606 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0450 ,Physics: Absolute and Relative DosimetryPTC58-0657 ,Physics: Dose Calculation and OptimisationPTC58-0551 ,Physics: Treatment PlanningPTC58-0192 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0675 ,Physics: Treatment PlanningPTC58-0194 ,Physics: Dose Calculation and OptimisationPTC58-0544 ,Physics: Treatment PlanningPTC58-0199 ,Physics: Quality Assurance and VerificationPTC58-0037 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0207 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0434 ,Physics: Quality Assurance and VerificationPTC58-0036 ,Physics: Quality Assurance and VerificationPTC58-0278 ,Physics: Quality Assurance and VerificationPTC58-0394 ,Physics: Quality Assurance and VerificationPTC58-0151 ,Physics: Quality Assurance and VerificationPTC58-0154 ,Physics: Dose Calculation and OptimisationPTC58-0428 ,Clinics: BreastPTC58-0116 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0435 ,Physics: Commissioning New FacilitiesPTC58-0681 ,Physics: Absolute and Relative DosimetryPTC58-0323 ,Physics: Dose Calculation and OptimisationPTC58-0583 ,Physics: Absolute and Relative DosimetryPTC58-0448 ,Clinics: CNS / Skull BasePTC58-0251 ,General: New HorizonsPTC58-0721 ,Physics: Absolute and Relative DosimetryPTC58-0203 ,Physics: Dose Calculation and OptimisationPTC58-0455 ,Physics: 4D Treatment and DeliveryPTC58-0130 ,Physics: Commissioning New FacilitiesPTC58-0679 ,Physics: Absolute and Relative DosimetryPTC58-0329 ,General: New HorizonsPTC58-0604 ,Physics: Absolute and Relative DosimetryPTC58-0449 ,Clinics: CNS / Skull BasePTC58-0132 ,General: New HorizonsPTC58-0607 ,Physics: Quality Assurance and VerificationPTC58-0122 ,Physics: Quality Assurance and VerificationPTC58-0243 ,Physics: Treatment PlanningPTC58-0165 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0437 ,Physics: 4D Treatment and DeliveryPTC58-0377 ,Physics: Quality Assurance and VerificationPTC58-0125 ,Physics: Quality Assurance and VerificationPTC58-0245 ,Physics: Dose Calculation and OptimisationPTC58-0337 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0334 ,Physics: Quality Assurance and VerificationPTC58-0121 ,General: New Horizons SessionPTC58-0563 ,General: New Horizons SessionPTC58-0321 ,Clinics: Head and Neck / EyePTC58-0477 ,Physics: Quality Assurance and VerificationPTC58-0480 ,Clinics: GUPTC58-0010 ,Clinics: EyePTC58-0684 ,Clinics: GUPTC58-0496 ,Clinics: Head and neckPTC58-0676 ,Clinics: GUPTC58-0137 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0256 ,Physics: 4D Treatment and DeliveryPTC58-0117 ,Physics: Absolute and Relative DosimetryPTC58-0552 ,Physics: Absolute and Relative DosimetryPTC58-0310 ,Physics: Absolute and Relative DosimetryPTC58-0672 ,Physics: Absolute and Relative DosimetryPTC58-0436 ,Physics: Dose Calculation and OptimisationPTC58-0452 ,Physics: Dose Calculation and OptimisationPTC58-0331 ,Physics: Commissioning New FacilitiesPTC58-0213 ,Biology: Mathematical Modelling SimulationPTC58-0272 ,Clinics: EyePTC58-0326 ,Physics: Commissioning New FacilitiesPTC58-0568 ,Physics: Dose Calculation and OptimisationPTC58-0444 ,Physics: Quality Assurance and VerificationPTC58-0379 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0095 ,Physics: Treatment PlanningPTC58-0053 ,Physics: Absolute and Relative DosimetryPTC58-0438 ,Physics: Absolute and Relative DosimetryPTC58-0317 ,Physics: Quality Assurance and VerificationPTC58-0497 ,Physics: Quality Assurance and VerificationPTC58-0375 ,Physics: Treatment PlanningPTC58-0056 ,Physics: 4D Treatment and DeliveryPTC58-0124 ,Clinics: GIPTC58-0009 ,Physics: Quality Assurance and VerificationPTC58-0014 ,Physics: Quality Assurance and VerificationPTC58-0374 ,Clinics: LungPTC58-0727 ,General: New Horizons SessionPTC58-0578 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0470 ,Clinics: LungPTC58-0204 ,Clinics: Head and neckPTC58-0227 ,Clinics: LungPTC58-0446 ,Physics: Quality Assurance and VerificationPTC58-0190 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0609 ,Clinics: LungPTC58-0689 ,General: New HorizonsPTC58-0021 ,General: New HorizonsPTC58-0262 ,Biology: BNCT Poster Discussion SessionsPTC58-0081 ,Clinics: GIPTC58-0726 ,General: New HorizonsPTC58-0145 ,Physics: Image GuidancePTC58-0573 ,General: New HorizonsPTC58-0027 ,General: New HorizonsPTC58-0028 ,Biology: Mathematical Modelling and SimulationPTC58-0148 ,Physics: Dose Calculation and OptimisationPTC58-0635 ,Physics: Image GuidancePTC58-0215 ,Physics: Image GuidancePTC58-0336 ,Poster AbstractsClinics: CNSPTC58-0535 ,Physics: Quality Assurance and VerificationPTC58-0187 ,Biology: BNCT Poster Discussion SessionsPTC58-0084 ,General: New Investigator SessionPTC58-0339 ,General: New Horizons SessionPTC58-0420 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0523 ,Biology: BNCT Poster Discussion SessionsPTC58-0088 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0112 ,Physics: Quality Assurance and VerificationPTC58-0182 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0615 ,Physics: Quality Assurance and VerificationPTC58-0080 ,Biology: BNCTPTC58-0085 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0722 ,General: New HorizonsPTC58-0253 ,General: New HorizonsPTC58-0255 ,Clinics: PediatricPTC58-0703 ,General: New HorizonsPTC58-0499 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0380 ,General: New HorizonsPTC58-0259 ,Clinics: GI, GU, BreastPTC58-0288 ,Clinics: GI, GU, BreastPTC58-0045 ,Physics: Absolute and Relative DosimetryPTC58-0619 ,Clinics: PediatricPTC58-0707 ,Physics: Quality Assurance and VerificationPTC58-0196 ,Physics: Quality Assurance and VerificationPTC58-0074 ,Physics: Quality Assurance and VerificationPTC58-0077 ,Biology: BNCT Poster Discussion SessionsPTC58-0073 ,Biology: BNCTPTC58-0075 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0093 ,Clinics: GUPTC58-0161 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0371 ,Physics: Monitoring and Modelling MotionPTC58-0181 ,General: New HorizonsPTC58-0120 ,General: New HorizonsPTC58-0362 ,General: New HorizonsPTC58-0364 ,Physics: Image GuidancePTC58-0473 ,Scientific: RTTPTC58-0641 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0296 ,General: New HorizonsPTC58-0004 ,General: New HorizonsPTC58-0128 ,Clinics: BreastPTC58-0316 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0236 ,General: New HorizonsPTC58-0008 ,General: New Investigator SessionPTC58-0673 ,Physics: Quality Assurance and VerificationPTC58-0167 ,Physics: Quality Assurance and VerificationPTC58-0289 ,Physics: Quality Assurance and VerificationPTC58-0284 ,General: New Horizons SessionPTC58-0522 ,Physics: Quality Assurance and VerificationPTC58-0164 ,Physics: Quality Assurance and VerificationPTC58-0285 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0623 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0502 ,Clinics: GUPTC58-0293 ,Biology: Translational and BiomarkersPTC58-0599 ,Biology: BNCTPTC58-0063 ,Clinics: LungPTC58-0656 ,General: New HorizonsPTC58-0592 ,Biology: BNCT Poster Discussion SessionsPTC58-0092 ,Poster AbstractsClinics: CNSPTC58-0302 ,Physics: Image GuidancePTC58-0464 ,General: New HorizonsPTC58-0352 ,Physics: Image GuidancePTC58-0465 ,General: New HorizonsPTC58-0476 ,Physics: Image GuidancePTC58-0100 ,General: New HorizonsPTC58-0235 ,Biology: Mathematical Modelling and SimulationPTC58-0349 ,Physics: Treatment PlanningPTC58-0094 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0367 ,Physics: Dose Calculation and OptimisationPTC58-0400 ,Biology: Translational and BiomarkersPTC58-0244 ,Physics: Dose Calculation and OptimisationPTC58-0640 ,Biology: Mathematical Modelling and SimulationPTC58-0355 ,General: New Investigator SessionPTC58-0320 ,Physics: Quality Assurance and VerificationPTC58-0057 ,Physics: Quality Assurance and VerificationPTC58-0174 ,Physics: Quality Assurance and VerificationPTC58-0295 ,Physics: Dose Calculation and OptimisationPTC58-0529 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0123 ,Physics: Quality Assurance and VerificationPTC58-0171 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0049 ,Clinics: BreastPTC58-0731 ,General: New HorizonsPTC58-0223 ,General: New HorizonsPTC58-0102 ,General: New HorizonsPTC58-0466 ,Scientific: RTTPTC58-0503 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0389 ,General: New HorizonsPTC58-0108 ,General: New HorizonsPTC58-0109 ,Physics: Commissioning New FacilitiesPTC58-0736 ,Biology: Mathematical Modelling and SimulationPTC58-0343 ,Biology: Mathematical Modelling and SimulationPTC58-0342 ,Clinics: GI, GU, BreastPTC58-0237 ,Physics: Dose Calculation and OptimisationPTC58-0711 ,Biology: Mathematical Modelling and SimulationPTC58-0581 ,Clinics: GI, GU, BreastPTC58-0114 ,Clinics: Base of SkullPTC58-0730 ,Clinics: Head and neckPTC58-0383 ,Clinics: CNS / Skull BasePTC58-0559 ,Clinics: Base of SkullPTC58-0613 ,General: New HorizonsPTC58-0691 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0054 ,General: New HorizonsPTC58-0210 ,Clinics: BreastPTC58-0729 ,General: New HorizonsPTC58-0574 ,Clinics: GI, GU, BreastPTC58-0239 ,Scientific: RTTPTC58-0637 ,General: New HorizonsPTC58-0579 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0176 ,General: New HorizonsPTC58-0699 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0156 ,Biology: Mathematical Modelling and SimulationPTC58-0333 ,Biology: Translational and BiomarkersPTC58-0345 ,Physics: Image GuidancePTC58-0369 ,Physics: Commissioning New FacilitiesPTC58-0509 ,Biology: Mathematical Modelling SimulationPTC58-0658 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0051 ,General: New Investigator SessionPTC58-0548 ,Clinics: GI, GU, BreastPTC58-0241 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0412 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0024 ,Clinics: LungPTC58-0226 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0069 ,General: New HorizonsPTC58-0562 ,General: New HorizonsPTC58-0561 ,General: New HorizonsPTC58-0201 ,Biology: Mathematical Modelling and SimulationPTC58-0439 ,General: New HorizonsPTC58-0445 ,General: New HorizonsPTC58-0324 ,Physics: Image GuidancePTC58-0031 ,Biology: Mathematical Modelling and SimulationPTC58-0558 ,Physics: Image GuidancePTC58-0392 ,Biology: Mathematical Modelling and SimulationPTC58-0678 ,Physics: Beam Delivery and Nozzle DesignPTC58-0090 ,General: New Investigator SessionPTC58-0630 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0524 ,Physics: Commissioning New FacilitiesPTC58-0713 ,Clinics: GI, GU, BreastPTC58-0139 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0248 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0368 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0519 ,General: New Horizons SessionPTC58-0720 ,Physics: Quality Assurance and VerificationPTC58-0083 ,General: New HorizonsPTC58-0311 ,General: New HorizonsPTC58-0674 ,General: New HorizonsPTC58-0553 ,Physics: Image GuidancePTC58-0023 ,Scientific: RTTPTC58-0612 ,General: New HorizonsPTC58-0677 ,Biology: Mathematical Modelling and SimulationPTC58-0545 ,Physics: Dose Calculation and OptimisationPTC58-0601 ,Physics: Dose Calculation and OptimisationPTC58-0725 ,Physics: Quality Assurance and VerificationPTC58-0098 ,Physics: Dose Calculation and OptimisationPTC58-0605 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0517 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0618 ,Physics: Monitoring and Modelling MotionPTC58-0481 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0071 ,Physics: Adaptive TherapyPTC58-0351 ,Physics: 4D Treatment and DeliveryPTC58-0702 ,Physics: Image GuidancePTC58-0734 ,Physics: Image GuidancePTC58-0611 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0486 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0442 ,Biology: Drug and Immunotherapy CombinationsPTC58-0327 ,Clinics: Head and Neck / EyePTC58-0096 ,Clinics: LungPTC58-0159 ,Physics: Treatment PlanningPTC58-0708 ,General: New HorizonsPTC58-0097 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0350 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0016 ,Physics: Adaptive TherapyPTC58-0104 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0433 ,Physics: Image GuidancePTC58-0608 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0610 ,Clinics: Head and neckPTC58-0058 ,Physics: Treatment PlanningPTC58-0715 ,Clinics: Head and neckPTC58-0298 ,Clinics: EyePTC58-0099 ,General: New HorizonsPTC58-0086 ,General: New HorizonsPTC58-0089 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0200 ,Poster AbstractsClinics: CNSPTC58-0157 ,Clinics: LungPTC58-0141 ,Clinics: LungPTC58-0260 ,Clinics: LungPTC58-0264 ,Physics: Image GuidancePTC58-0513 ,Physics: Image GuidancePTC58-0631 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0469 ,Biology: BNCT Poster Discussion SessionsPTC58-0384 ,Physics: Image GuidancePTC58-0639 ,Clinics: PediatricsPTC58-0700 ,Clinics: LungPTC58-0136 ,Clinics: BreastPTC58-0706 ,General: New HorizonsPTC58-0079 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0406 ,Clinics: Base of SkullPTC58-0382 ,Physics: Image GuidancePTC58-0624 ,Physics: Beam Delivery and Nozzle DesignPTC58-0173 ,Biology: Drug and Immunotherapy CombinationsPTC58-0358 ,Poster AbstractsClinics: CNSPTC58-0690 ,General: New HorizonsPTC58-0061 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0580 ,Physics: Monitoring and Modelling MotionPTC58-0162 ,Physics: Adaptive TherapyPTC58-0550 ,Physics: Adaptive TherapyPTC58-0430 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0103 ,General: New Investigator SessionPTC58-0252 ,Physics: Quality Assurance and VerificationPTC58-0704 ,Physics: Image GuidancePTC58-0418 ,Clinics: Base of SkullPTC58-0572 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0106 ,Physics: Beam Delivery and Nozzle DesignPTC58-0022 ,Physics: Monitoring and Modelling MotionPTC58-0279 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0447 ,Physics: Treatment PlanningPTC58-0622 ,Clinics: PediatricsPTC58-0644 ,Biology: Biology and Clinical InterfacePTC58-0490 ,Clinics: CNS / Skull BasePTC58-0716 ,General: New HorizonsPTC58-0292 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0570 ,General: New HorizonsPTC58-0059 ,Physics: Quality Assurance and VerificationPTC58-0710 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0216 ,Physics: Image GuidancePTC58-0404 ,Physics: Image GuidancePTC58-0525 ,Physics: Image GuidancePTC58-0526 ,Poster AbstractsClinics: CNSPTC58-0328 ,Clinics: LungPTC58-0070 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0135 ,Biology: BNCT Poster Discussion SessionsPTC58-0391 ,Physics: Treatment PlanningPTC58-0510 ,Physics: Treatment PlanningPTC58-0636 ,Physics: Treatment PlanningPTC58-0638 ,Physics: Image GuidancePTC58-0408 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0632 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0318 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0246 ,Clinics: PediatricsPTC58-0504 ,General: New HorizonsPTC58-0160 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0076 ,Physics: Monitoring and Modelling MotionPTC58-0143 ,Biology: Mathematical Modelling and SimulationPTC58-0718 ,Physics: Image GuidancePTC58-0671 ,Clinics: LungPTC58-0183 ,Physics: Image GuidancePTC58-0670 ,Report ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0422 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0129 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0705 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0258 ,General: New HorizonsPTC58-0030 ,General: New HorizonsPTC58-0150 ,Biology: Biology and Clinical InterfacePTC58-0479 ,General: New HorizonsPTC58-0153 ,Clinics: PediatricPTC58-0087 ,General: New HorizonsPTC58-0152 ,General: New HorizonsPTC58-0155 ,General: New HorizonsPTC58-0033 ,General: New HorizonsPTC58-0158 ,Physics: Image GuidancePTC58-0429 ,Biology: Translational and BiomarkersPTC58-0287 ,Physics: Adaptive TherapyPTC58-0403 ,Physics: Image GuidancePTC58-0309 - Published
- 2020
121. Quantification of Coronary Artery Cross Section Lumen Area and Area Stenosis with 3D Centerline-Centric Straightening
- Author
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Cui, H. F., primary, Wang, D. S., additional, Wan, M., additional, Zhang, J. M., additional, Zhao, X. D., additional, Tan, S. Y., additional, Wong, A. S. L., additional, Tan, R. S., additional, Huang, W. M., additional, Xiong, W., additional, Duan, Y. P., additional, Zhou, J. Y., additional, Chi, Y. L., additional, and Zhong, L., additional
- Published
- 2015
- Full Text
- View/download PDF
122. Non-coding NOTCH1 mutations in chronic lymphocytic leukemia negatively impact prognosis
- Author
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Fatima Zahra Jelloul, Richard K. Yang, Peng Wang, Sofia Garces, Rashmi Kanagal‐Shamanna, Chi Y. Ok, Sanam Loghavi, Mark J. Routbort, Zhuang Zuo, Cheng Cameron Yin, Kristen Floyd, Roland L. Bassett, William G. Wierda, Nitin Jain, Philip A. Thompson, Rajyalakshmi Luthra, Leonard Jeffrey Medeiros, and Keyur P. Patel
- Subjects
Male ,Survival Rate ,Mutation ,Humans ,Female ,Hematology ,Receptor, Notch1 ,Leukemia, Lymphocytic, Chronic, B-Cell ,Disease-Free Survival ,Article ,Neoplasm Proteins - Published
- 2021
123. Diagnosis of Avian Tuberculosis in Swinhoe's Pheasants Using Conventional and Molecular-Based Techniques
- Author
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Hsieh, Yao-Ching, Tsai, Keng-Yu, Wang, Chi Y., Hung, Chien-Ning, Tsai, Shinn-Shyong, and Liu, Hung-Jen
- Published
- 2009
124. Comparison of Planned Versus Actual Dose Delivered for External Beam Accelerated Partial Breast Irradiation Using Cone-Beam CT and Deformable Registration
- Author
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Hasan, Yasmin, Kim, Leonard, Wloch, Jennifer, Chi, Y., Liang, J., Martinez, Alvaro, Yan, Di, and Vicini, Frank
- Published
- 2011
- Full Text
- View/download PDF
125. Unusual Ligand Transformations and Rearrangements in Heterometallic Clusters
- Author
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Chi, Y., Chiang, S-J., Su, C-J., and Farrugia, Louis J., editor
- Published
- 1995
- Full Text
- View/download PDF
126. Relationship between dietary patterns and gut microbiota in kidney stone and non-kidney stone individuals
- Author
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Chi, Y., primary, Jin, X., additional, He, Y., additional, Jian, Z., additional, Xiang, L., additional, Wang, M., additional, Liu, Y., additional, Ma, Y., additional, Li, H., additional, and Wang, K., additional
- Published
- 2022
- Full Text
- View/download PDF
127. MICROSCOPIC SIMULATIONS OF OXYGEN ENHANCEMENT ON DNA DAMAGES IN FLASH CONDITIONS
- Author
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Lai, Y., primary and Chi, Y., additional
- Published
- 2022
- Full Text
- View/download PDF
128. Non‐coding NOTCH1 mutations in chronic lymphocytic leukemia negatively impact prognosis
- Author
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Jelloul, Fatima Zahra, primary, Yang, Richard K., additional, Wang, Peng, additional, Garces, Sofia, additional, Kanagal‐Shamanna, Rashmi, additional, Ok, Chi Y., additional, Loghavi, Sanam, additional, Routbort, Mark J., additional, Zuo, Zhuang, additional, Yin, Cheng Cameron, additional, Floyd, Kristen, additional, Bassett, Roland L., additional, Wierda, William G., additional, Jain, Nitin, additional, Thompson, Philip A., additional, Luthra, Rajyalakshmi, additional, Medeiros, Leonard Jeffrey, additional, and Patel, Keyur P., additional
- Published
- 2022
- Full Text
- View/download PDF
129. Bio function of Cytochrome P450 on fungus: a review
- Author
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Pratiwi, R A, primary, Yahya, N S W, additional, and Chi, Y, additional
- Published
- 2022
- Full Text
- View/download PDF
130. Electric load characteristics analysis of 5G base stations in different type of area
- Author
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Yang, Y., primary, Hou, J., additional, Cai, J., additional, Zhang, L., additional, Ye, H., additional, Zou, Y., additional, Chi, Y., additional, and Zhou, N., additional
- Published
- 2022
- Full Text
- View/download PDF
131. Monitoring activity of Hip Injury Patients (MoHIP): A sub-study of the World Hip Trauma Evaluation Observational Cohort Study
- Author
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Armitage, L., primary, Chi, Y., additional, Santos, M., additional, Lawson, B., additional, Areia, C., additional, Velardo, C., additional, Watkinson, P., additional, Tarassenko, L., additional, Costa, M., additional, and Farmer, A., additional
- Published
- 2021
- Full Text
- View/download PDF
132. Abstract 12165: The Ratio of Right Ventricular Global Longitudinal Strain and Pulmonary Artery Systolic Pressure Determines Persistent Tricuspid Regurgitation After Closure of Atrial Septal Defect
- Author
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seonhwa lee, Dae-Young Kim, Jiwon Seo, Iksung Cho, Geu-Ru Hong, Jong-Won Ha, and Chi Y Shim
- Subjects
Physiology (medical) ,Cardiology and Cardiovascular Medicine - Abstract
Introduction: Functional tricuspid regurgitation (TR) will decrease after atrial septal defect (ASD) closure, but it may persist and require additional tricuspid valve (TV) surgery or intervention. Hypothesis: We aimed to find echocardiographic predictors for persistent TR after successful ASD closure. Methods: Among 348 adults who underwent isolated ASD closure between January 2010 and September 2020, 91 (26.1%) patients with significant TR (at least moderate degree) before ASD closure were included. Persistent TR was defined as a significant TR even after ASD correction on echocardiogram after 6 months to 1 year. To find echocardiographic predictors for persistent TR, conventional and speckle tracking echocardiography performed before ASD closure were analyzed. The right ventricular (RV)-pulmonary arterial coupling was assessed by the ratio of RV global longitudinal strain (RV GLS) and pulmonary arterial systolic pressure (PASP) (RV GLS/PASP). Results: Persistent TR was observed in 22 (24.2%) patients. Patients with persistent TR were significantly older, with larger TR jet area and lower RV GLS/PASP (0.46 ± 0.14 vs. 0.37 ± 0.13, p = 0.013) than those without persistent TR. However, there were no significant differences in RV volumes, RV systolic function, and TV annular diameter between the two groups. On multivariable logistic regression, persistent TR was independently associated with age (HR:2.031, 95% CI, 1.113-2.046; p=0.003) and RV GLS/PASP (HR:0.009, 95% CI, 0.000-0.790; p=0.039). RV GLS/PASP showed a good predictive value for persistent TR after ASD closure (cut off 0.39, the area under the curve 0.702, p=0.003). Conclusions: Persistent TR after successful ASD closure is not uncommon in patients with ASD and significant TR. RV GLS/PASP can predict persistent TR after ASD closure. It can be suggested that concomitant or subsequent TR intervention should be considered in elderly patients and patients with abnormal RV-pulmonary arterial coupling.
- Published
- 2021
133. Abstract 12005: Increased Risk of Cancer Therapy-Related Cardiomyopathy in Patients With Treated Immune Checkpoint Inhibitors and Concomitant Cardiotoxic Agents
- Author
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seonhwa lee, Iksung Cho, Seng Chan You, Min Jae Cha, Jee suk Jang, William Kim, Kyu-yong Go, Dae-Young Kim, Jiwon Seo, Chi Y Shim, Geu-Ru Hong, Jong-Won Ha, and Hyo-song Kim
- Subjects
Physiology (medical) ,Cardiology and Cardiovascular Medicine - Abstract
Introduction: There is scarce data on whether immune checkpoint inhibitor (ICI) increase the risk of cardiomyopathy, especially when used with cardiotoxic agents. Hypothesis: We evaluated the cardiotoxicity of the ICI in sarcoma patients receiving doxorubicin with or without ICI by echocardiographic parameters and left ventricular global longitudinal strain (LVGLS). Methods: A total of 89 patients were included. Echocardiography and LVGLS were evaluated at baseline and follow-up (after 3 and 6months) and compared between the doxorubicin (n=67) and concomitant ICI with doxorubicin (n=22) groups. Cancer-therapy related cardiac dysfunction (CTRCD) was defined as LVEF drop of >10% and LVEF of 10%, LVEF of > 50% and LVGLS relative reduction of >15% (probable CTRCD) at 6months. Results: There was no significant difference in age, cumulative dose of doxorubicin and cardiovascular risk factors between two groups. At baseline, LVEF was similar between two groups (p=0.493). In doxorubicin group, LVEF decreased to 59±6 % (p Conclusions: ICI increases risk of CTRCD, when concomitantly treated with cardiotoxic agents. Thus, cardiomyopathy should be monitored in patients with ICI by comprehensive echocardiographic assessment including myocardial strain.
- Published
- 2021
134. The Use of Cost-Effectiveness Thresholds for Evaluating Health Interventions in Low- and Middle-Income Countries From 2015 to 2020: A Review
- Author
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Kazibwe, Joseph, Gheorghe, Adrian, Wilson, David, Ruiz, Francis, Chalkidou, Kalipso, and Chi, Y-Ling
- Abstract
OBJECTIVES: Evidence-informed priority setting, in particular cost-effectiveness analysis (CEA), can help target resources better to achieve universal health coverage. Central to the application of CEA is the use of a cost-effectiveness threshold. We add to the literature by looking at what thresholds have been used in published CEA and the proportion of interventions found to be cost-effective, by type of threshold. METHODS: We identified CEA studies in low- and middle-income countries from the Global Health Cost-Effectiveness Analysis Registry that were published between January 1, 2015, and January 6, 2020. We extracted data on the country of focus, type of interventions under consideration, funder, threshold used, and recommendations. RESULTS: A total of 230 studies with a total 713 interventions were included in this review; 1 to 3× gross domestic product (GDP) per capita was the most common type of threshold used in judging cost-effectiveness (84.3%). Approximately a third of studies (34.2%) using 1 to 3× GDP per capita applied a threshold at 3× GDP per capita. We have found that no study used locally developed thresholds. We found that 79.3% of interventions received a recommendation as "cost-effective" and that 85.9% of studies had at least 1 intervention that was considered cost-effective. The use of 1 to 3× GDP per capita led to a higher proportion of study interventions being judged as cost-effective compared with other types of thresholds. CONCLUSIONS: Despite the wide concerns about the use of 1 to 3× GDP per capita, this threshold is still widely used in the literature. Using this threshold leads to more interventions being recommended as "cost-effective." This study further explore alternatives to the 1 to 3× GDP as a decision rule.
- Published
- 2021
135. Occupational hazard of fluoroscopy: An invisible threat to orthopaedic surgeons
- Author
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Wing-Hoi Cheung, Chi Y Tso, Raymond Cw Wan, Simon Kh Chow, Wai W Chau, Ronald My Wong, and Ning Tang
- Subjects
Orthopedic surgery ,medicine.diagnostic_test ,business.industry ,Rehabilitation ,Physical Therapy, Sports Therapy and Rehabilitation ,Radiation hazard ,medicine.disease ,Occupational safety and health ,Medicine ,Fluoroscopy ,Orthopedics and Sports Medicine ,Medical emergency ,business ,RD701-811 - Abstract
The use of fluoroscopy is widespread within different medical specialties. Improper protection may cause significant radiation hazard to medical personnel. To evaluate the concepts on radiation safety and fluoroscopy use among orthopaedic surgeons and to reflect our current training on this issue, a survey was distributed to perform an audit in our department, an academic unit. Twenty-eight orthopaedic surgeons replied. Amongst our participants, 96.4% used a lead apron at all times. Only 33% used a thyroid shield, 67% never used radiation goggles and 96% never used radiation protection gloves. 53.6% and 46.4% of participants position the fluoroscopy incorrectly in the anteroposterior and lateral positions, respectively, during use. There is clearly a need for improved safety amongst orthopaedic surgeons. A literature review was further performed, showing the hazards of fluoroscopy for doctors, including the risk of cataracts, radiation dermatitis, skin cancer and thyroid cancer. Hazards specific to females, including breast cancer risk, and in-utero irradiation of foetus were also thoroughly discussed. Recommendations towards radiation safety and practical measures to reduce fluoroscopy radiation hazard during procedure were made. Education and training to doctors on this invisible hazard is strongly advised.
- Published
- 2021
136. MiRNA-621 sensitizes breast cancer to chemotherapy by suppressing FBXO11 and enhancing p53 activity
- Author
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Xue, J, Chi, Y, Chen, Y, Huang, S, Ye, X, Niu, J, Wang, W, Pfeffer, L M, Shao, Z-m, Wu, Z-H, and Wu, J
- Published
- 2016
- Full Text
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137. The Efficacy of Fat Grafting on Treating Post-Mastectomy Pain with and without Breast Reconstruction: A Systematic Review and Meta-Analysis
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Jeffrey Chen, Abdulrahman A. Alghamdi, Chi Yi Wong, Muna F. Alnaim, Gabriel Kuper, and Jing Zhang
- Subjects
post-mastectomy pain syndrome ,mastectomy ,patient-reported outcomes ,surgical complication ,fat grafting ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Post-mastectomy pain syndrome (PMPS), characterized by persistent pain lasting at least three months following mastectomy, affects 20–50% of breast surgery patients, lacking effective treatment options. A review was conducted utilizing EMBASE, MEDLINE, and all evidence-based medicine reviews to evaluate the effect of fat grafting as a treatment option for PMPS from database inception to 29 April 2023 (PROSPERO ID: CRD42023422627). Nine studies and 812 patients in total were included in the review. The overall mean change in visual analog scale (VAS) was −3.6 in 285 patients following fat grafting and 0.5 in 147 control group patients. There was a significant reduction in VAS from baseline in the fat grafting group compared to the control group, n = 395, mean difference = −2.17 (95% CI, −2.95 to −1.39). This significant improvement was also noted in patients who underwent mastectomy without reconstruction. Common complications related to fat grafting include capsular contracture, seroma, hematoma, and infection. Surgeons should consider fat grafting as a treatment option for PMPS. However, future research is needed to substantiate this evidence and to identify timing, volume of fat grafting, and which patient cohort will benefit the most.
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- 2024
- Full Text
- View/download PDF
138. Characteristics and outcome of patients with malaria presented to a Hong Kong emergency department—A retrospective cohort analysis
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Chi Yeung Yeung, Marc L. C. Yang, Yan W. Y. Kwong, and Timothy Hudson Rainer
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Africa ,malaria ,plasmodium falciparum ,travel ,Surgery ,RD1-811 ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background Malaria remains a significant cause of illness for return travellers in Hong Kong. However, the lack of experience of local healthcare providers in tropical medicine and non‐specific presenting symptoms may lead to underdiagnosis or delayed diagnosis of the disease. We evaluate patients presenting with malaria to a local emergency department to understand the disease presentation and outcome. Methods A retrospective review of all patients diagnosed with malaria presenting to the emergency department from January 2009 to December 2019 was conducted. Information about patient demographics, travel history, presenting vital signs and blood results, how the diagnosis is made, clinical features and outcomes were analysed. Subgroup analysis was also performed for comparison. Results Among the 70 patients diagnosed with malaria, most of them were imported cases (98.6%). Most were infected with Plasmodium Falciparum (50%) and Plasmodium vivax (45.7%). The common presenting symptoms included fever (100%), nausea or vomiting (42.9%) and headache (38.6%). 43 out of 70 cases had a diagnosis made in the emergency department, either by malarial blood smear (34.3%) or incidental haematological findings (27.1%). Most cases could be discharged uneventfully (90%), with six cases requiring Intensive Care Unit admission during the stay (8.6%). Patients with diagnoses not made in AED had a significantly lower mean arterial pressure (p = 0.009) and haemoglobin level (p = 0.004). Significantly lower platelet count (p = 0.002) and higher bilirubin level (p = 0.041) were found in patients who required ICU admission. For those who had AED reattendance before diagnosis was made, their creatinine levels were significantly higher (p = 0.022) and had a longer length of stay (p = 0.021). Conclusions The clinical presentation of imported malaria cases is non‐specific, and high suspicion of malaria should be raised when diagnosing febrile patients with a travel history. The history of taking malarial chemoprophylaxis is essential and should have been included in most cases. Malarial‐specific treatments were rarely given in the emergency department despite diagnosis.
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- 2024
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139. Attenuation of inflammatory bowel disease by oral administration of mucoadhesive polydopamine-coated yeast β-glucan via ROS scavenging and gut microbiota regulation
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Fan Yang, Yuting Su, Chi Yan, Tianfeng Chen, and Peter Chi Keung Cheung
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Yeast β-glucan ,Polydopamine ,Reactive oxygen species ,Adhesiveness ,Gut microbiome ,Colitis ,Biotechnology ,TP248.13-248.65 ,Medical technology ,R855-855.5 - Abstract
Abstract Treatment for inflammatory bowel disease (IBD) is challenging since current anti-inflammatory and immunosuppressive therapies do not address the underlying causes of the illness, which include increased levels of reactive oxygen species (ROS) and dysbiosis of the gut commensal microbiota. Additionally, these treatments often have systemic off-target effects and adverse side effects. In this study, we have developed a prebiotic yeast β-glucan nanocomplex coated with bio-adhesive polydopamine (YBNs@PDA) to effectively prolong their retention time in the gastrointestinal (GI) tract. The oral administration of YBNs@PDA restored the epithelium barriers, reduced ROS levels, and minimized systemic drug exposure while improved therapeutic efficacy in an acute colitis mouse model. Furthermore, 16S ribosomal RNA genes sequencing demonstrated a higher richness and diversity in gut microflora composition following the treatments. In particular, YBNs@PDA markedly augmented the abundance of Lachnospiraceae NK4A136 and Bifidobacterium, both of which are probiotics with crucial roles in relieving colitis via retaining gut homeostasis. Cumulatively, these results demonstrate that the potential of YBNs@PDA as a novel drug-free, ROS-scavenging and gut microbiota regulation nanoplatform for the treatment of GI disorders.
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- 2024
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140. Supercapacitor‐based coordinated synthetic inertia scheme for voltage source converter‐based HVDC integrated offshore wind farm
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Jiebei Zhu, Meiqi Shi, Lujie Yu, Junbo Zhao, Siqi Bu, Chi Yung Chung, and Campbell D. Booth
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frequency control ,wind power plants ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 ,Energy industries. Energy policy. Fuel trade ,HD9502-9502.5 - Abstract
Abstract A supercapacitor‐based coordinated synthetic inertia (SCSI) scheme for a voltage source converter‐based HVDC (VSC‐HVDC)‐integrated offshore wind farm (OWF) is proposed. The proposed SCSI allows the OWF to provide a designated inertial response to an onshore grid. Under the SCSI scheme, a supercapacitor is added to the DC side of each wind turbine generator via a bidirectional DC/DC converter, varying its voltage along with the offshore frequency to synthesise the desired inertial response. The HVDC grid side VSC employs a DC voltage/frequency droop control to convey the onshore frequency information to DC voltage without communication. Meanwhile, the wind farm side VSC regulates the offshore frequency to couple with the conveyed onshore frequency, considering voltage drop across the DC cables. An offshore frequency switching algorithm is incorporated to avoid undesired SCSI maloperation under offshore faults. The key parameters of the proposed SCSI are optimised through a small signal stability analysis. The effectiveness of the SCSI scheme is evaluated using a modified IEEE 39‐bus test system. The results show that the proposed SCSI scheme can provide required inertial support from WTG‐installed supercapacitors to the onshore grid through the VSC‐HVDC link, significantly improving the onshore frequency stability.
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- 2024
- Full Text
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141. 3-D Transport-Chemistry Studies of the Stratosphere Using Satellite Data Together with Data Assimilation
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Geller, M. A., Chi, Y., Rood, R. B., Douglass, A. R., Allen, D. J., Cerniglia, M., Waters, J. W., and Chanin, Marie-Lise, editor
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- 1993
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142. Analysis of SDN security applications
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Yang, Y, primary, Chi, Y, additional, Li, D, additional, and Zhang, W, additional
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- 2015
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143. Endoglin differentially regulates TGF-β-induced Smad2/3 and Smad1/5 signalling and its expression correlates with extracellular matrix production and cellular differentiation state in human chondrocytes
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Finnson, K.W., Parker, W.L., Chi, Y., Hoemann, C.D., Goldring, M.B., Antoniou, J., and Philip, A.
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- 2010
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144. The influence of core height and face plate thickness on the response of honeycomb sandwich panels subjected to blast loading
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Chi, Y., Langdon, G.S., and Nurick, G.N.
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- 2010
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145. Inverse radiation analysis of simultaneous estimation of temperature field and radiative properties in a two-dimensional participating medium
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Liu, D., Yan, J.H., Wang, F., Huang, Q.X., Chi, Y., and Cen, K.F.
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- 2010
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146. Differential effects of aquatic anaesthetics on the pharmacokinetics of antibiotics: Examples using florfenicol in Nile tilapia (Oreochromis niloticus)
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Chang Sk, Chi-Chung Chou, Chi Y, Tirawat Rairat, Chia-Yu Hsieh, and Niti Chuchird
- Subjects
0301 basic medicine ,Florfenicol ,Dose ,Veterinary (miscellaneous) ,Withdrawal time ,Aquatic Science ,Pharmacology ,03 medical and health sciences ,chemistry.chemical_compound ,Nile tilapia ,Random Allocation ,Pharmacokinetics ,Oral administration ,Eugenol ,Animals ,Aminobenzoates ,Anesthetics ,Thiamphenicol ,biology ,04 agricultural and veterinary sciences ,Cichlids ,biology.organism_classification ,Anti-Bacterial Agents ,Oreochromis ,030104 developmental biology ,chemistry ,040102 fisheries ,0401 agriculture, forestry, and fisheries ,Ethylene Glycols ,Blood sampling - Abstract
Anaesthetics are commonly applied in pharmacokinetic (PK) studies to assure smooth handling of experimental procedures or to promote animal welfare. However, the influence of anaesthetics on the PK of co-administered drug is generally unknown but assumes ignorable. The goal of the study was to investigate the effect of tricaine methanesulfonate (MS-222), 2-phenoxyethanol (2-PE) and eugenol (EUG) on the PK of florfenicol (FF) in Nile tilapia. Twenty-eight fish were repeatedly exposed to 90 ppm EUG, 300 ppm MS-222 or 900 ppm 2-PE before FF oral administration (15 mg/kg) and each successive blood sampling. The serum concentration-time profiles were analysed by a 2-compartmental model, and the generated parameters in the control (without anaesthetic) and anaesthetic groups were statistically compared. The results demonstrated that the serum concentrations of each anaesthetic were similar at every FF sampling times (70 μg/ml for MS-222; 277 μg/ml for 2-PE; and 61 μg/ml for EUG). In comparison with the control group, the repeated use of MS-222 did not result in a statistical difference in most of the PK parameters. In contrast, the elimination half-lives of the 2-PE and EUG groups were significantly longer whereas the absorption and distribution half-lives of the 2-PE group were significantly shorter than the control, resulting in altered optimal dosages in the simulation modelling. Whether or not the numbers and extent of PK parameters change mitigate subsequent estimations of other PK-derived secondary values such as dosing regimen and withdrawal time remains to be elucidated, but the auxiliary use of anaesthetics in PK studies should not assume uninfluential.
- Published
- 2021
147. Abstract 12005: Increased Risk of Cancer Therapy-Related Cardiomyopathy in Patients With Treated Immune Checkpoint Inhibitors and Concomitant Cardiotoxic Agents
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lee, seonhwa, primary, Cho, Iksung, additional, You, Seng Chan, additional, Cha, Min Jae, additional, Jang, Jee suk, additional, Kim, William, additional, Go, Kyu-yong, additional, Kim, Dae-Young, additional, Seo, Jiwon, additional, Shim, Chi Y, additional, Hong, Geu-Ru, additional, Ha, Jong-Won, additional, and Kim, Hyo-song, additional
- Published
- 2021
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148. Abstract 12165: The Ratio of Right Ventricular Global Longitudinal Strain and Pulmonary Artery Systolic Pressure Determines Persistent Tricuspid Regurgitation After Closure of Atrial Septal Defect
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lee, seonhwa, primary, Kim, Dae-Young, additional, Seo, Jiwon, additional, Cho, Iksung, additional, Hong, Geu-Ru, additional, Ha, Jong-Won, additional, and Shim, Chi Y, additional
- Published
- 2021
- Full Text
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149. Prediction of time-dependent concrete mechanical properties based on advanced deep learning models considering complex variables
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Yu Jiang, Jinhao Zhang, Wenqiang Zuo, Guodong Xu, Chi Yuan, Longbao Wang, Zhirong Du, Yucan Lu, and Wei She
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concrete ,compressive strength ,tensile strength ,modulus of elasticity ,prediction model ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Evaluating the mechanical properties such as compressive strength, tensile strength, and modulus of elasticity (MOE) of concrete is crucial for the design, construction, and quality control of engineering projects. Developing a comprehensive theoretical-based numerical model to predict the concrete mechanical properties is considered challenging, owing to the diversity of admixtures and curing environment affecting the performance of modern concrete. The deep learning (DL) model gives a feasible approach as data-driven methods for accurate prediction of various material properties these years. However, predicting time-dependent mechanical properties of modern concrete with complex mix constituents by DL algorithms is still confined so far. In this article, artificial neuron network (ANN) and long short-term memory (LSTM) based DL models were established to predict concrete compressive strength, tensile strength, and MOE at different ages, considering the mix design, curing condition, curing time and tension testing method as input variables. LSTM outperformed ANN in terms of the statistical indicators for accuracy evaluation with high training and testing time costs. Bidirectional modification and multi-head attention mechanism were implemented to further improve the prediction accuracy of LSTM. It is shown that the multi-head attention bidirectional LSTM had more precise predicting results (R2=0.9355 for compressive strength, R2=0.8930 for tensile strength, R2=0.9584 for MOE) and fitting of the mechanical property-age curves. The LSTM-based models provided a promising prediction tool for time-dependent concrete mechanical properties with complex input parameters.
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- 2024
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150. Behaviour of sandwich panels subjected to intense air blast – Part 1: Experiments
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Nurick, G.N., Langdon, G.S., Chi, Y., and Jacob, N.
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- 2009
- Full Text
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