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ImmunoMedicine 2023年第1-2期3卷

作者： Delaney K. Geitgey BS Anja J. Melendez Raquel Caldeira-Botelho MSc Melissa L. Kemp phd Curtis J. Henry phd Department of Pediatrics Emory University School of Medicine and Aflac Cancer and Blood Disorders Center Children's Healthcare of Atlanta Atlanta Georgia USA The Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta Georgia USA Cancer Immunology Research Program Winship Cancer Institute Atlanta Georgia USA Curtis J. Henry PhD Department of Pediatrics Emory University School of Medicine 2015 Uppergate Dr. Room 433A Atlanta GA 30322 USA.

In addition to its universally known role in transferring genetic material, DNA nucleotides and nucleosides are regarded as the most ancient form of extracellular signaling molecules. This unique signaling pathway was first reported by Dr. Albert Szent-Györgyi in 1937 and established by Dr. Geoffrey Burnstock in 1972, who coined the term “purinergic signaling.” The significance of purinergic signaling is now recognized in various cellular processes, including immune responses. With an increased understanding of how changes in immunity impact cancer progression, the groundbreaking successes of immunotherapies, and emerging challenges facing patients receiving these treatments, in this review we revisit the history of purinergic signaling, provide a comprehensive summary of its impact on immune cells, and discuss the therapeutic potential of targeting this pathway for cancer treatment.

关键词： cancer cancer immunotherapy immune regulation metabolism

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Estimation of Transmission Lines Parameters Using Particle Swarm Optimization

Estimation of Transmission Lines Parameters Using Particle S...

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IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

作者： Fermín Rafael Cabezas Soldevilla Franklin Alfredo Cabezas Huerta Faculty of Mechanical Engineering - PhD Program in Energetics National University of Engineering Lima Peru

ISBN: (纸本)9781538658451

The identification of the values with good accuracy of physical parameters of transmission systems is very important because using very different values from the real ones seriously distorts the evaluation of the planning, design, operation, maintenance and commercialization of the transmission systems. The present work describes the identification of physical parameters of a real transmission system using a mathematical model with variable values of the physical parameters. The identification is done by comparing the real operation of the system with the simulated operation of the model, varying iteratively the physical parameters values of the mathematical model. To this purpose two different techniques were applied, a classical and a modern meta-heuristic technique to 47 high voltage transmission lines of the Peruvian electrical system. The real operation is obtained from the database of the measurements of the operating variables of the transmission system. The correct values of the physical parameters will be those that correspond to the simulated operation identified. This paper is organized as follows: Section II describes the philosophy of the parameter estimation problem, here is included the symbology, the model of the transmission system, the formulation of the problem and its solution. In section III, the results of the identified parameters are presented and discussed. Finally, in section IV the conclusions are presented.

关键词： Estimation Mathematical model Transmission line measurements Power transmission lines Parameter estimation Loss measurement Pollution measurement

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Comment on: The risk of major adverse cardiovascular events in patients with systemic sclerosis: a nationwide, population-based cohort study. Reply

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Rheumatology (Oxford, England) 2024年第8期63卷 e234-e235页

作者： Tsai-Hung Yen Hsin-Hua Chen Division of Allergy Immunology and Rheumatology Department of Internal Medicine Taichung Veterans General Hospital Taichung Taiwan. Division of General Medicine Department of Internal Medicine Taichung Veterans General Hospital Taichung Taiwan. Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan. Big Data Center National Chung Hsing University Taichung Taiwan. Department of Industrial Engineering and Enterprise Information Tunghai University Taichung Taiwan. PhD Program in Translational Medicine and Rong Hsing Research Center for Translational Medicine National Chung Hsing University Taichung Taiwan.

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OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

arXiv

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arXiv 2023年

作者： Eastman, Peter Galvelis, Raimondas Peláez, Raúl P. Abreu, Charlles R.A. Farr, Stephen E. Gallicchio, Emilio Gorenko, Anton Henry, Michael M. Hu, Frank Huang, Jing Krämer, Andreas Michel, Julien Mitchell, Joshua A. Pande, Vijay S. Rodrigues, João P.G.L.M. Rodriguez-Guerra, Jaime Simmonett, Andrew C. Singh, Sukrit Swails, Jason Turner, Philip Wang, Yuanqing Zhang, Ivy Chodera, John D. De Fabritiis, Gianni Markland, Thomas E. Department of Chemistry Stanford University StanfordCA94305 United States Acellera Labs C Dr Trueta 183 Barcelona08005 Spain C Dr. Aiguader 88 Barcelona08003 Spain Chemical Engineering Department School of Chemistry Federal University of Rio de Janeiro Rio de Janeiro68542 Brazil Redesign Science Inc. 180 Varick St. New YorkNY10014 United States EaStCHEM School of Chemistry University of Edinburgh EH9 3FJ United Kingdom Department of Chemistry and Biochemistry Brooklyn College The City University of New York NY United States Ph.D. Program in Chemistry Ph.D. Program in Biochemistry The Graduate Center of the City University of New York New YorkNY United States Stream HPC Koningin Wilhelminaplein 1 - 40601 Amsterdam1062 HG Netherlands Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University 18 Shilongshan Road Zhejiang Hangzhou310024 China Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 12 Berlin14195 Germany The Open Force Field Initiative Open Molecular Software Foundation DavisCA95616 United States Andreessen Horowitz 2865 Sand Hill Rd Menlo ParkCA94025 United States Department of Structural Biology Stanford University StanfordCA94305 United States Charité Universitätsmedizin Berlin In silico Toxicology and Structural Bioinformatics Virchowweg 6 Berlin10117 Germany Laboratory of Computational Biology National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Entos Inc. 9310 Athena Circle La Jolla CA92037 United States College of Engineering Virginia Polytechnic Institute State University BlacksburgVA24061 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University 24 Waverly Place New YorkNY10004 United States T

Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbitrary PyTorch models can be added to a simulation and used to compute forces and energy. A higher-level interface allows users to easily model their molecules of interest with general purpose, pretrained potential functions. A collection of optimized CUDA kernels and custom PyTorch operations greatly improves the speed of simulations. We demonstrate these features on simulations of cyclin-dependent kinase 8 (CDK8) and the green fluorescent protein (GFP) chromophore in water. Taken together, these features make it practical to use machine learning to improve the accuracy of simulations at only a modest increase in cost. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

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Corrigendum to “Metal ratio and bimetal nanoarchitectonics of ammonia-based fluoride complex induced nickel hydroxide and manganese oxide composites as active materials of an energy storage device” [J. Energy Storage 80 (2024) 110316]

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Journal of Energy Storage 2025年 108卷

作者： Chuan-Chih Hsu You Zher Yu Chung-Hsien Wu Pin-Yan Lee Hung-Ming Chen Sadang Husain Chutima Kongvarhodom Yu-Cheng Hsiao Lu-Yin Lin Division of Cardiovascular Surgery Department of Surgery School of Medicine College of Medicine Taipei Medical University Taiwan Division of Cardiovascular Surgery Department of Surgery Taipei Medical University Hospital Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Gingen Technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei 11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin 70124 Indonesia Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok 10140 Thailand Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei 11696 Taiwan International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA 94305-5428 USA Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan

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Design thinking for organizations: Functional guidelines 13

Design thinking for organizations: Functional guidelines

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13th Biennial Norddesign Conference, NordDesign 2018

作者： Ishio, Pedro Gaspar, Ricardo Lins, Romulo Graduate Program in Engineering and Innovation Management Federal University of ABC Brazil Ricardo Gaspar College Federal University of ABC Brazil PhD Romulo Gonçalves Lins Engineering Modelling and Applied Sciences Center Federal University of ABC Brazil

ISBN: (纸本)9789176851852

The objective of this paper is to propose functional guidelines for the assertive practice of the design thinking approach in organizational environments, and therefore to promote innovation. Considering the statement that contextual conditions directly influence innovation, a literature review is conducted in both design thinking and organizational structures bodies of knowledge in order to discover possible relationships between one another. A brief explanation about how designers make sense of things is presented in order to exploit connections between design thinking, creativity, and innovation, and after three specific organizational structures - formalization, hierarchy and functional differentiation - are analyzed, relationships between them and design thinking are established. Accordingly, three functional guidelines for organizations to exercise design thinking assertively are proposed: in terms of formalization, employees must be provided with clearly specified rules and procedures that encourage creative, exploratory, and risk friendly work and learning in a design conductive ecosystem so engagement, motivation and productivity can be increased;in terms of hierarchy, managerial responsibilities and roles must be designated so strategic decisions can be made quickly and co-creation can work;in terms of functional differentiation, integrative, human-centered, and collaborative work has to be contemplated with the existence of interdisciplinary teams for a rich mix of expertise and points of view so opportunities can be better seized. © Proceedings of NordDesign: Design in the Era of Digitalization, NordDesign 2018. All rights reserved.

关键词： Product design

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Correction to: Design framework for a seamless smart glove using a digital knitting system

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Fashion and Textiles 2021年第1期8卷 1-1页

作者： Song, Yewon Lee, Seulah Choi, Yuna Han, Sora Won, Hyuna Sung, Tae-Hyun Choi, Youngjin Bae, Jihyun PhD Candidate Department of Electrical Engineering Hanyang University Seoul South Korea Post Doctoral Researcher Department of Electrical and Electronic Engineering Hanyang University Ansan South Korea Graduate Student Department of Electrical and Electronic Engineering Hanyang University Ansan South Korea Graduate Student Human-Tech Convergence Program Department of Clothing & Textiles Hanyang University Seoul South Korea Professor Department of Electrical Engineering Hanyang University Seoul South Korea Professor Department of Electrical and Electronic Engineering Hanyang University Ansan South Korea Associate Professor Human-Tech Convergence Program Department of Clothing & Textiles Hanyang University Seoul South Korea

An amendment to this paper has been published and can be accessed via the original article.

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Rational design of pyrene and thienyltriazine-based conjugated microporous polymers for high-performance energy storage and visible-light photocatalytic hydrogen evolution from water

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Giant 2024年 17卷

作者： Santosh U. Sharma Mohamed Hammad Elsayed Islam M.A. Mekhemer Tso Shiuan Meng Ho-Hsiu Chou Shiao-Wei Kuo Mohamed Gamal Mohamed Department of Chemistry National Sun Yat-Sen University Kaohsiung 80424 Taiwan International PhD Program for Science National Sun Yat-sen University Kaohsiung 80424 Taiwan Department of Chemistry Faculty of Science Al-Azhar University Nasr City 11884 Cairo Egypt Department of Chemical Engineering National Tsing Hua University Hsinchu 300044 Taiwan Chemistry Department Faculty of Science Assiut University Assiut 71515 Egypt Department of Materials and Optoelectronic Science College of Semiconductor and Advanced Technology Research Center for Functional Polymers and Supramolecular Materials National Sun Yat-Sen University Kaohsiung 804 Taiwan Department of Medicinal and Applied Chemistry Kaohsiung Medical University Kaohsiung 807 Taiwan

Conjugated microporous polymers (CMPs) have found extensive applications in various fields such as optoelectronics, CO 2 capture, and catalysis. However, their potential in electrochemical supercapacitors as energy storage and H 2 production systems remains relatively unexplored. This limited exploration can be attributed to certain challenges, including issues related to structural and electrochemical stability, as well as the relatively modest specific capacitance. Additionally, many of the CMPs discovered thus far have exhibited lower energy densities, further contributing to this underexplored aspect of their utility. In this study, we prepared two different CMPs [TPET-TTh and PyT-TTh CMPs] containing thienyltriazine units (TTh) for the redox mechanism and constructed electrodes for supercapacitor applications. The synthesized TPET-TTh and PyT-TTh CMPs displayed exceptionally high specific surface areas of 545 and 528 m² g⁻¹, respectively. Furthermore, their pore sizes were very similar, centered at approximately 0.39 and 0.36 nm, respectively. To evaluate their electrochemical properties, the TTh-CMPs were examined using cyclic voltammetry (CV) and galvanostatic charge/discharge (GCD). The resulting CV curves exhibited rectangular shapes, indicative of the characteristic behavior of electric double-layer capacitors, across a range of potential and scan rates. These TPET-TTh and PyT-TTh CMPs delivered nominal specific capacitances of 74 and 76 F g −1 at 0.5 A g −1 , respectively. In addition, they exhibited outstanding capacity retentions of 95.2 and 97.30 % even after 2000 cycles [analyzed at 10 A g −1 ]. The TTh-CMPs also exhibited excellent light-capture capabilities. The PyT-TTh CMP has faster charge separation and lower charge recombination rates than TPET-TTh CMP. This results in a higher hydrogen evolution rate from the water decomposition reaction. The H 2 production rate of PyT-TTh CMP could be as high as 18,533 μmol g −1 h −1 , which is approximately 4

关键词： Pyrene 2,4,6-tri(thiophen-2-yl)-1,3,5-triazine Conjugated microporous polymer Supercapacitors H 2 evolution

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Unprecedented anti-inflammatory biscembranoids with 3-hydroperoxy-3-methylcyclohex-1-ene moiety isolated from aquaculture Sarcophyton trocheliophorum

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Aquaculture Reports 2023年 33卷

作者： Peng, Bo-Rong Nguyen, Ngoc Bao An Chen, Lo-Yun El-Shazly, Mohamed Hwang, Tsong-Long Su, Jui-Hsin Lai, Kuei-Hung Graduate Institute of Pharmacognosy College of Pharmacy Taipei Medical University Taipei 11031 Taiwan PhD Program in Clinical Drug Development of Herbal Medicine College of Pharmacy Taipei Medical University Taipei 11031 Taiwan Department of Pharmacognosy Faculty of Pharmacy Ain-Shams University Organization of African Unity Street Cairo Abassia 11566 Egypt Research Center for Chinese Herbal Medicine College of Human Ecology Chang Gung University of Science and Technology Taoyuan 33303 Taiwan Graduate Institute of Health Industry Technology College of Human Ecology Chang Gung University of Science and Technology Taoyuan 33303 Taiwan Department of Anaesthesiology Chang Gung Memorial Hospital Taoyuan 33305 Taiwan Graduate Institute of Natural Products College of Medicine Chang Gung University Taoyuan 33302 Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City 24301 Taiwan National Museum of Marine Biology & Aquarium Pingtung 94450 Taiwan Department of Marine Biotechnology and Resources National Sun Yat-sen University Kaohsiung 80424 Taiwan Traditional Herbal Medicine Research Center Taipei Medical University Hospital Taipei 11031 Taiwan

Recent advancements in the discovery of natural products have made significant progress in rapidly identifying known compounds from complex extracts using advanced spectroscopic technologies. Among these methods, one powerful approach called MS/MS molecular networking (MN) organizes chemical similarity based on MS/MS fragmentation data, serving as a valuable complement to traditional dereplication strategies. In our ongoing research focused on lead discovery from a sustainable medicinal source, an aquaculture soft coral Sarcophyton trocheliophorum, the MN profiling approach revealed the chemical diversity of biscembranoid analogs. By analyzing the MN pattern, biscembranoid derivatives with unique MS/MS fragments were prioritized for further investigation. Two novel biscembranoids, sarcotroxide A (1) and B (2), were successfully obtained through targeted isolation. These novel biscembranes contained an unprecedented 3-hydroperoxy-3-methylcyclohex-1-ene moiety compared with all biscembranoid analogs. The chemical structures of the two new biscembranoids were confirmed through spectroscopic analyses and in silico calculations. Their anti-inflammatory properties were assessed against the generation of superoxide anion (O₂^•−) and elastase release in activated human neutrophils. Sarcotroxides A (1) and B (2) exhibited anti-inflammatory activity by inhibiting O₂^•− accumulation (with 43.67% and 61.62% inhibition) and elastase release (with 38.21% and 61.62% inhibition) at 10 µM. These findings validated the potential of these biscembranoids from the cultured S. trocheliophorum as promising candidates for the future development of anti-inflammatory agents specifically designed to target neutrophils. © 2023 The Authors

关键词： Anti-inflammation Aquaculture soft coral Biscembranoid Neutrophil Sarcophyton trocheliophorum

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Prosthetic hand signals

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Significance 2018年第4期15卷 30-35页

作者： Mike Wininger Reva Johnson PhD has faculty appointments at the University of Hartford (Prosthetics Program) and Yale University (Department of Biostatistics) and is a statistician of clinical trials with the Department of Veterans Affairs. PhD is a professor in the Department of Mechanical Engineering and Bioengineering at Valparaiso University.

How Bayesian inference can decode movement intentions and control the next generation of powered prostheses. By Mike Wininger and Reva Johnson

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