4,733 research outputs found
Supplemental Material - Liver proteomic analysis reveals acute liver failure induced by lipopolysaccharide/D-galactosamine in rats involved in neutrophil extracellular trap formation
No full textSupplemental Material for Liver proteomic analysis reveals acute liver failure induced by lipopolysaccharide/D-galactosamine in rats involved in neutrophil extracellular trap formation by Keyin Wang, Zhuolin Zou, Ting Zou, Dahai Wei and Min Deng in European Journal of Inflammation</p
Imaging LDL receptor oligomerization during endocytosis using a co-internalization assay
No full textMethods to probe receptor oligomerization are useful to understand the molecular mechanisms of receptor signaling. Here we report a fluorescence imaging method to determine receptor oligomerization state in living cells during endocytic internalization. The wild-type receptor is co-expressed with an internalization-defective mutant, and the internalization kinetics of each are independently monitored. If the receptor internalizes as an oligomer, then the wild-type and mutant isoforms will mutually influence each others’ trafficking properties, causing co-internalization of the mutant or co-retention of the wild-type at the cell surface. Using this approach, we found that the low density lipoprotein (LDL) receptor internalizes as an oligomer into cells, both in the presence and absence of LDL ligand. The internalization kinetics of the wild-type receptor are not changed by LDL binding. We also found that the oligomerization domain of the LDL receptor is located in its cytoplasmic tail.National Institutes of Health (U.S.) (NIH (R01 GM072670))Henry & Camille Dreyfus FoundationMassachusetts Institute of Technolog
A copula-based method of risk prediction for autonomous underwater gliders in dynamic environments
No full textAutonomous underwater gliders (AUGs) are effective platforms for oceanic research and environmental monitoring. However, complex underwater environments with uncertainties could pose the risk of vehicle loss during their missions. It is therefore essential to conduct risk prediction to assist decision making for safer operations. The main limitation of current studies for AUGs is the lack of a tailored method for risk analysis considering both dynamic environments and potential functional failures of the vehicle. Hence, this study proposed a copula-based approach for evaluating the risk of AUG loss in dynamic underwater environments. The developed copula Bayesian network (CBN) integrated copula functions into a traditional Bayesian belief network (BBN), aiming to handle nonlinear dependencies among environmental variables and inherent technical failures. Specifically, potential risk factors with causal effects were captured using the BBN. A Gaussian copula was then employed to measure correlated dependencies among identified risk factors. Furthermore, the dependence analysis and CBN inference were performed to assess the risk level of vehicle loss given various environmental observations. The effectiveness of the proposed method was demonstrated in a case study, which considered deploying a Slocum G1 Glider in a real water region. Risk mitigation measures were provided based on key findings. This study potentially contributes a tailored tool of risk prediction for AUGs in dynamic environments, which can enhance the safety performance of AUGs and assist in risk mitigation for decision makers.</p
sj-pdf-1-aja-10.1177_15333175221085066 – Supplemental Material for Regulation of the Late Onset alzheimer’s Disease Associated <i>HLA-DQA1/DRB1</i> Expression
No full textSupplemental Material, sj-pdf-1-aja-10.1177_15333175221085066 for Regulation of the Late Onset alzheimer’s Disease Associated HLA-DQA1/DRB1 Expression by Xiaoyu Zhang, Meijaun Zou, Yuwei Wu, Danli Jiang, Ting Wu, Yihan Zhao, Di Wu, Jing Cui and Gang Li in American Journal of Alzheimer's Disease & Other Dementias</p
Author Correction: Cardioprotection induced in a mouse model of neuropathic pain via anterior nucleus of paraventricular thalamus
No full textThe original version of this Article contained an error in the affiliation of the second author, Ya-Ting Chang. The correct affiliations for Ya-Ting Chang are Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan and International Graduate Program in Molecular Medicine, National Yang-Ming University and Academia Sinica, Taipei 115, Taiwan.</jats:p
On the Growth and Stability Effects of Habit Formation and Durability in Consumption
Full text linkThis paper shows that a unique balanced growth monetary equilibrium exists in a transactions-based monetary endogenous growth model with habit formation or durability in consumption. An increase in the nominal money growth rate reduces the long-run output growth rate, wherein habit formation enforces the effectiveness of monetary policy while durability in consumption reduces it. We also show that while habit formation destabilizes the macroeconomy by making the balanced growth equilibrium exhibit local indeterminacy, durability in consumption maintains saddle-path stability of the balanced growth equilibrium. We find that the mechanism through which habit formation and durability impose different effects on both the growth-effect of money and the macroeconomic stabilizing properties is such that habit formation and durability influence the elasticity of intertemporal substitution in consumption in opposite directions.Habit formation, Durability, Superneutrality, Indeterminacy
A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles
No full textRisk analysis for autonomous underwater vehicles (AUVs) is essential to assist decision making for safer operations. This study aims to provide a systematic review of risk analysis research to enhance the safety performance of AUVs. Forty-two domain articles were retrieved and analyzed. Critical risk factors and causal relationships of AUV operations were identified. A comparative analysis of evolving methods and models was performed by categorizing them as qualitative, semi-quantitative, and quantitative. Future trends of research in this field were also outlined. The study observes that as AUV technologies gradually mature, environmental factors, human factors, and their interactive impacts are gathering more attention. Quantitative risk analysis methods have recently played a key role in improving the accuracy and handling the uncertainties of risk estimation. The study recommends devoting efforts to dynamic risk analysis, addressing limited historical data, intelligent risk analysis, and multi-vehicles risk analysis for future works. This study is expected to help AUV stakeholders gain comprehensive insights into fundamental concepts and evolving methods for risk analysis of AUVs. At the same time, it is expected to highlight future directions to bridge existing gaps.</p
Risk-based path planning for autonomous underwater vehicles in an oil spill environment
No full textAutonomous underwater vehicles (AUVs) are advanced platforms for detecting and mapping oil spills in deep water. However, their applications in complex spill environments have been hindered by the risk of vehicle loss. Path planning for AUVs is an effective technique for mitigating such risks and ensuring safer routing. Yet previous studies did not address path searching problems for AUVs based on probabilistic risk reasoning. This study aims to propose an offboard risk-based path planning approach for AUVs operating in an oil spill environment. A risk model based on the Bayesian network was developed for probabilistic reasoning of risk states given varied environmental observations. This risk model further assisted in generating a spatially-distributed risk map covering a potential mission area. An A*-based searching algorithm was then employed to plan an optimal-risk path through the constructed risk map. The proposed planner was applied in a case study with a Slocum G1 Glider in a real-world spill environment around Baffin Bay. Simulation results proved that the optimal-risk planner outperforms in risk mitigation while achieving competitive path lengths and mission efficiency. The proposed method is not constrained to AUVs but can be adapted to other marine robotic systems
SupplementaryFigure1 - Bone Marrow CD133<sup>+</sup> Stem Cells Ameliorate Visual Dysfunction in Streptozotocin-induced Diabetic Mice with Early Diabetic Retinopathy
No full textSupplementaryFigure1 for Bone Marrow CD133+ Stem Cells Ameliorate Visual Dysfunction in Streptozotocin-induced Diabetic Mice with Early Diabetic Retinopathy by Liyuan Rong, Xianliang Gu, Jing Xie, Yuxiao Zeng, Qiyou Li, Siyu Chen, Ting Zou, Langyue Xue, Haiwei Xu and Zheng Qin Yin in Cell Transplantation</p
sj-doc-1-scm-10.1177_00369330221107099 - Supplemental material for Polycystic ovary syndrome and the risk of endometrial, ovarian and breast cancer: An updated meta-analysis
No full textSupplemental material, sj-doc-1-scm-10.1177_00369330221107099 for Polycystic ovary syndrome and the risk of endometrial, ovarian and breast cancer: An updated meta-analysis by Zhen Li, Yu-Hua Wang, Lin-Lin Wang, Ding-Tao Hu, Ying Teng, Ting-Yu Zhang, Zi-Ye Yan, Fang Wang and Yan-Feng Zou in Scottish Medical Journal</p
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