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0151 Personalized Caffeine Recommendations to Achieve Optimal Alertness Levels

Sleep 2024年第SUPPLEMENT_1期47卷 A66–A66页

作者： Vital-Lopez, Francisco Doty, Tracy Anlap, Ian Killgore, William Reifman, Jaques Department of Defense Biotechnology High Performance Computing Software Applications Institute Telemedicine and Advanced Technology Research Center U.S. Army Medical Research and Development Command Behavioral Biology Branch Walter Reed Army Institute of Research University of Arizona College of Medicine

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Ten new insights in climate science 2024

One Earth

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One Earth 2025年

作者： Schaeffer, Roberto Schipper, E. Lisa F. Ospina, Daniel Mirazo, Paula Alencar, Ane Anvari, Mehrnaz Artaxo, Paulo Biresselioglu, Mehmet Efe Blome, Tanja Boeckmann, Melanie Brink, Ebba Broadgate, Wendy Bustamante, Mercedes Cai, Wenju Canadell, Josep G. Cardinale, Roberto Chidichimo, Maria Paz Ditlevsen, Peter Eicker, Ursula Feron, Sarah Fikru, Mahelet G. Fuss, Sabine Gaye, Amadou T. Gustafsson, Örjan Harring, Niklas He, Cheng Hebden, Sophie Heilemann, Adrian Hirota, Marina Janardhanan, Nandakumar Juhola, Sirkku Jung, Tae Yong Kejun, Jiang Kilkiș, Şiir Kumarasinghe, Nilushi Lapola, David Lee, June-Yi Levis, Carolina Lusambili, Adelaide Maasakkers, Joannes D. MacIntosh, Claire Mahmood, Jemilah Mankin, Justin S. Marchegiani, Pía Martin, Maria Mukherji, Aditi Muñoz-Erickson, Tischa A. Niazi, Zeenat Nyangon, Joseph Pandipati, Santosh Perera, Amarasinghage T.D. Persad, Geeta Persson, Åsa Redman, Aaron Riipinen, Ilona Rockström, Johan Roffe, Sarah Roy, Joyashree Sakschewski, Boris Samset, Bjørn H. Schlosser, Peter Sharifi, Ayyoob Shih, Wan-Yu Sioen, Giles B. Sokona, Youba Stammer, Detlef Suk, Sunhee Thiam, Djiby Thompson, Vikki Tullos, Erin van Westen, René M. Vargas Falla, Ana Maria Vecellio, Daniel J. Worden, John Wu, Henry C. Xu, Chi Yang, Yang Zachariah, Mariam Zhang, Zhen Ziervogel, Gina Federal University of Rio de Janeiro Rio de Janeiro Brazil University of Bonn Bonn Germany Future Earth Secretariat Stockholm Sweden Arizona State University Tempe AZ United States Amazon Environmental Research Institute (IPAM) Brasilia Brazil Fraunhofer Institute for Algorithms and Scientific Computing SCAI St. Augustin Germany Potsdam Institute for Climate Impact Research (PIK) Potsdam Germany University of São Paulo São Paulo Brazil İzmir University of Economics İzmir Turkey Climate Service Center Germany (GERICS) Helmholtz-Zentrum Hereon Hamburg Germany University of Bremen Bremen Germany Lund University Lund Sweden University of Brasilia Brasilia Brazil Ocean University of China Qingdao China Xiamen University Xiamen China Commonwealth Scientific and Industrial Research Organisation (CSIRO) Environment Canberra ACT Australia University College London London United Kingdom National Scientific and Technical Research Council (CONICET) Buenos Aires Argentina National University of San Martin Buenos Aires Argentina University of Copenhagen Copenhagen Denmark Concordia University Montreal QC Canada University of Groningen Groningen Netherlands Missouri University of Science and Technology Rolla MO United States Mercator Research Institute on Global Commons and Climate Change (MCC) Berlin Germany Humboldt-University of Berlin Berlin Germany Cheikh Anta Diop University Dakar Senegal Stockholm University Stockholm Sweden University of Gothenburg Gothenburg Sweden Institute of Epidemiology Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH) Neuherberg Germany European Space Agency (ESA) - European Centre for Space Applications and Telecommunications (ECSAT) Oxford United Kingdom Federal University of Santa Catarina Florianopolis Brazil Institute for Global Environmental Strategies (IGES) Hayama Japan University of Helsinki Helsinki Finland Yonsei University Graduate Seoul South Korea Chinese Academy of Macroeconomic

The years 2023 and 2024 were characterized by unprecedented warming across the globe, underscoring the urgency of climate action. Robust science advice for decision makers on subjects as complex as climate change requires deep cross- and interdisciplinary understanding. However, navigating the ever-expanding and diverse peer-reviewed literature on climate change is enormously challenging for individual researchers. We elicited expert input through an online questionnaire (188 respondents from 45 countries) and prioritized 10 key advances in climate-change research with high policy relevance. The insights span a wide range of areas, from changes in methane and aerosol emissions to the factors shaping citizens’ acceptance of climate policies. This synthesis and communications effort forms the basis for a science-policy report distributed to party delegations ahead of the 29th session of the Conference of the Parties (COP29) to inform their positions and arguments on critical issues, including heat-adaptation planning, comprehensive mitigation strategies, and strengthened governance in energy-transition minerals value chains. © 2025 The Authors

关键词： adaptation climate policy climate science governance just transition mitigation resilience science policy

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Far-field interference of a neutron white beam and the applications to noninvasive phase-contrast imaging

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Physical Review A 2017年第4期95卷 043637-043637页

作者： D. A. Pushin D. Sarenac D. S. Hussey H. Miao M. Arif D. G. Cory M. G. Huber D. L. Jacobson J. M. LaManna J. D. Parker T. Shinohara W. Ueno H. Wen Department of Physics University of Waterloo Waterloo Ontario Canada N2L3G1 Institute for Quantum Computing University of Waterloo Waterloo Ontario Canada N2L3G1 National Institute of Standards and Technology Gaithersburg Maryland 20899 USA Biophysics and Biochemistry Center National Heart Lung and Blood Institute National Institutes of Health Bethesda Maryland 20892 USA Department of Chemistry University of Waterloo Waterloo Ontario Canada N2L3G1 Perimeter Institute for Theoretical Physics Waterloo Ontario Canada N2L2Y5 Canadian Institute for Advanced Research Toronto Ontario Canada M5G 1Z8 Research and Development Division Neutron Science and Technology Center Comprehensive Research Organization for Science and Society (CROSS) 162-1 Shirakata Tokai Ibaraki 319-1106 Japan Materials and Life Science Division J-PARC Center Japan Atomic Energy Agency (JAEA) 2-4 Shirakata Tokai Ibaraki 319-1195 Japan

The phenomenon of interference plays a crucial role in the field of precision measurement science. Wave-particle duality has expanded the well-known interference effects of electromagnetic waves to massive particles. The majority of the wave-particle interference experiments require a near monochromatic beam which limits its applications due to the resulting low intensity. Here we demonstrate white beam interference in the far-field regime using a two-phase-grating neutron interferometer and its application to phase-contrast imaging. The functionality of this interferometer is based on the universal moiré effect that allows us to improve upon the standard Lau setup. Interference fringes were observed with monochromatic and polychromatic neutron beams for both continuous and pulsed beams. Far-field neutron interferometry allows for the full utilization of intense neutron sources for precision measurements of gradient fields. It also overcomes the alignment, stability, and fabrication challenges associated with the more familiar perfect-crystal neutron interferometer, as well as avoids the loss of intensity due to the absorption analyzer grating requirement in Talbot-Lau interferometer.

关键词： Cold atoms & matter waves Open quantum systems Optical coherence Quantum coherence & coherence measures Quantum formalism Quantum measurements Quantum metrology Interferometry Neutron imaging

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Synergy of Binary Substitutions for Improving the Cycle Performance in LiNiO2 Revealed by Ab Initio Materials Informatics

arXiv

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arXiv 2020年

作者： Yoshida, Tomohiro Maezono, Ryo Hongo, Kenta Department of Computer-Aided Engineering and Development Sumitomo Metal Mining Co. Ltd. 3-5 Sobiraki-cho NiihamaEhime792-0001 Japan School of Information Science JAIST Asahidai 1-1 IshikawaNomi923-1292 Japan Computational Engineering Applications Unit RIKEN 2-1 Hirosawa SaitamaWako351-0198 Japan Research Center for Advanced Computing Infrastructure JAIST Asahidai 1-1 NomiIshikawa923-1292 Japan Center for Materials Research by Information Integration Research and Services Division of Materials Data and Integrated System National Institute for Materials Science 1-2-1 Sengen TsukubaIbaraki305-0047 Japan PRESTO Japan Science and Technology Agency 4-1-8 Honcho SaitamaKawaguchi-shi322-0012 Japan

We explore LiNiO2-based cathode materials with two-element substitutions by an ab initio simulation based materials informatics (AIMI) approach. According to our previous study, a higher cycle performance strongly correlates with less structural change during charge–discharge cycles;the latter can be used for evaluating the former. However, if we target the full substitution space, full simulations are infeasible even for all binary combinations. To circumvent such an exhaustive search, we rely on Bayesian optimization. Actually, by searching only 4% of all the combinations, our AIMI approach discovered two promising combinations, Cr-Mg and Cr-Re, whereas each atom itself never improved the performance. We conclude that the synergy never emerges from a common strategy restricted to combinations of "good" elements that individually improve the performance. In addition, we propose a guideline for the binary substitutions by elucidating the mechanism of crystal structure change. Copyright © 2020, The Authors. All rights reserved.

关键词： Binary alloys

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Packaging, containerization, and virtualization of computational omics methods: Advances, challenges, and opportunities

arXiv

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arXiv 2022年

作者： Alser, Mohammed Waymost, Sharon Ayyala, Ram Lawlor, Brendan Abdill, Richard J. Rajkumar, Neha LaPierre, Nathan Brito, Jaqueline Ribeiro-Dos-Santos, André M. Firtina, Can Almadhoun, Nour Sarwal, Varuni Eskin, Eleazar Hu, Qiyang Strong, Derek Kim, Byoung-Do Abedalthagafi, Malak S. Mutlu, Onur Mangul, Serghei Department of Information Technology and Electrical Engineering ETH Zürich Zürich8092 Switzerland Department of Computer Science UCLA Los AngelesCA90095 United States Department of Translational Biomedical Informatics University of Southern California Los AngelesCA90089 United States Department of Clinical Pharmacy University of Southern California Los AngelesCA90089 United States Department of Computer Science Munster Technological University CorkT12 P928 Ireland Department of Genetics Cell Biology and Development University of Minnesota MinneapolisMN55417 United States Department of Bioengineering UCLA Los AngelesCA90095 United States Institute for Systems Genetics NYU Grossman School of Medicine New YorkNY10016 United States Department of Computational Medicine University of California Los AngelesCA90095 United States Department of Human Genetics University of California Los AngelesCA90095 United States Office of Advanced Research Computing UCLA Los AngelesCA90095 United States Center for Advanced Research Computing University of Southern California Los AngelesCA90089 United States Genomics Research Department Saudi Human Genome Project King Fahad Medical City King Abdulaziz City for Science and Technology Riyadh Saudi Arabia King Salman Center for Disability Research Riyadh12512 Saudi Arabia Riyadh Saudi Arabia

Omics software tools have reshaped the landscape of modern biology and become an essential component of biomedical research. The increasing dependence of biomedical scientists on these powerful tools creates a need for easier installation and greater usability. Packaging, virtualization, and containerization are different approaches to satisfy this need by wrapping omics tools in additional software that makes the omics tools easier to install and use. Here, we systematically review practices across prominent packaging, virtualization, and containerization platforms. We outline the challenges, advantages, and limitations of each approach and some of the most widely used platforms from the perspectives of users, software developers, and system administrators. We also propose principles to make packaging, virtualization, and containerization of omics software more sustainable and robust to increase the reproducibility of biomedical and life science research. © 2022, CC BY.

关键词： Containers

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Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem

arXiv

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arXiv 2022年

作者： Tahir, Barzan Hussein Rashid, Tarik A. Rauf, Hafiz Tayyab Bacanin, Nebojsa Chhabra, Amit Vimal, S. Yaseen, Zaher Mundher Department of Computer Science and Engineering University of Kurdistan Helwer Erbil Iraq Centre for Smart Systems AI and Cybersecurity Staffordshire University Stoke-on-Trent United Kingdom Singidunum University Danijelova 32 Belgrade11000 Serbia Department of Computer Engineering and Technology Guru Nanak Dev University Amritsar India Department of Artificial Intelligence and Data Science Ramco Institute of Technology North Venganallur Village Virudhunagar District Tamilnadu Rajapalayam626 117 India Department of Earth Sciences and Environment Faculty of Science and Technology Universiti Kebangsaan Malaysia Selangor Bangi43600 Malaysia USQ's Advanced Data Analytics Research Group School of Mathematics Physics and Computing University of Southern Queensland QLD4350 Australia New era and Development in Civil Engineering Research Group Scientific Research Center Al-Ayen University Thi-Qar64001 Iraq

Economic Load Dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy resources. The optimal solution to Economic Load Dispatch problems and various constraints can be obtained by evolving several evolutionary and swarm-based algorithms. The major drawback to swarm-based algorithms is premature convergence towards an optimal solution. Fitness Dependent Optimizer is a novel optimization algorithm stimulated by the decision-making and reproductive process of bee swarming. Fitness Dependent Optimizer (FDO) examines the search spaces based on the searching approach of Particle Swarm Optimization. To calculate the pace, the fitness function is utilized to generate weights that direct the search agents in the phases of exploitation and exploration. In this research, the authors have carried out Fitness Dependent Optimizer to solve the Economic Load Dispatch problem by reducing fuel cost, emission allocation, and transmission loss. Moreover, the authors have enhanced a novel variant of Fitness Dependent Optimizer, which incorporates novel population initialization techniques and dynamically employed sine maps to select the weight factor for Fitness Dependent Optimizer. The enhanced population initialization approach incorporates a quasi-random Sabol sequence to generate the initial solution in the multi-dimensional search space. A standard 24-unit system is employed for experimental evaluation with different power demands. Empirical results obtained using the enhanced variant of the Fitness Dependent Optimizer demonstrate superior performance in terms of low transmission loss, low fuel cost, and low emission allocation compared to the conventional Fitness Dependent Optimizer. The experimental study obtained 7.94E-12, the lowest transmission loss using the enhanced Fitness Dependent Optimizer. Correspondingly, various standard estimations are used to prove the stability

关键词： Decision making

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Comprehending the risk of foodborne and waterborne disease outbreaks: Current situation and control measures with Special reference to the Indian Scenario

引用

Heliyon 2024年第16期10卷 e36344页

作者： Albert, Venencia Ramamurthy, Thandavarayan Das, Samaresh G Dolma, Karma Majumdar, Tapan Baruah, Pranjal Jyoti Chaliha Hazarika, Suranjana Apum, Basumoti Das, Madhuchhanda Indian Council of Medical Research Ansari Nagar East New Delhi 110029 India ICMR-National Institute for Research in Bacterial Infections (NIRBI) West Bengal Kolkata 700010 India Center for Development of Advanced Computing (CDAC) West Bengal Kolkata 700 091 India Department of Microbiology Sikkim Manipal Institute of Medical Sciences (SMIMS) Sikkim Manipal University Sikkim Gangtok 737102 India Department of Microbiology Agartala Government Medical College Tripura Agartala 799006 India ICMR Regional Medical Research Centre (RMRC) Assam Dibrugarh 786001 India Department of Microbiology Gauhati Medical College and Hospital Assam Guwahati 781032 India Department of Microbiology Bankin Pertin General Hospital & Research Institute Arunachal Pradesh Pasighat 791102 India Division of Development Research Indian Council of Medical Research Department of Health Research (Ministry of Health & Family Welfare) P.O. Box No. 4911 Ansari Nagar East New Delhi 110029 India

Background: Foodborne and waterborne diseases and outbreaks are a neglected public health issue worldwide. In developing countries, diarrheal disease caused by foodborne and waterborne infections is a major cause of ill health. There is a lack of information on foodborne pathogens, their transmission routes, outbreaks, and related mortalities, due to the absence of a robust disease surveillance system and adequately equipped laboratories. Although hygiene practices are much better in Western countries, the widespread use of preserved and raw food items is a cause of concern. Consequently, the occurrence of foodborne diseases is not rare in these countries either. WHO has recently released the ‘Global Strategy for Food Safety 2022–2030’, addressing the emerging challenges, new technologies, and innovative approaches to strengthen food safety systems and enhance laboratory capacity for foodborne disease surveillance. Foodborne outbreaks are a huge challenge in India. Malnutrition, anemia, hookworm and enteric infections, are the predominant cryptic health conditions among children in rural and tribal areas, leading to severe consequences, including death, and posing a substantial threat to public health. Combating such events with adequate food safety and hygiene practices is achievable. Systematic collection of data can help to develop food safety policies that could reduce the burden of foodborne diseases. Objective: This review aims to examine the current situation of foodborne and waterborne diseases, identification of the factors contributing to their occurrence and outbreaks, and defining the gaps in control measures, challenges, and potential solutions in improving the public health system. Methods: Strengths, weaknesses, opportunities, and threats (SWOT) analysis was made based on the literature review of foodborne and waterborne infections to assess the current situation and to identify knowledge gaps. Finding: SWOT analysis showed the strength and gaps in th

关键词： Foodborne diseases Hygiene practices Outbreaks Public health Surveillance

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The Effect of Epoxidized Natural Rubber as A Compatibilizer on the Properties of Standard Malaysian Rubber/Ethylene Propylene Diene Monomer Blends

引用

Journal of Physics: Conference Series 2018年第1期1019卷

作者： A M Alakrach R Hamzah N Z Noriman Omar S Dahham Z Shayfull S Z Syed Idrus S Sudin Center of Excellence Geopolymer and Green Technology (CEGeoGTech) Faculty of Engineering Technology (FETech) Universiti Malaysia Perlis (UniMAP) Level 1 Block S2 UniCITI Alam Campus Sungai Chucuh Padang Besar 02100 Perlis Malaysia School of Manufacturing Engineering Universiti Malaysia Perlis Arau 02600 Malaysia Green Design and Manufacture Research Group Center of Excellence Geopolymer and Green Technology (CEGeoGTech) Universiti Malaysia Perlis Kangar 0100 Malaysia School of Human Development and Techno-communication (iKOM) Green Advanced Computing and Technology (GREAT) Research Group – CEGeoGTech Universiti Malaysia Perlis (UniMAP School of Computer and Communication Engineering (SCCE) Green Advanced Computing and Technology (GREAT) Research Group – CEGeoGTech Universiti Malaysia Perlis (UniMAP

In this study, the effects of epoxidized natural rubber (ENR-50) as compatibilizer on the properties of Standard Malaysian Rubber/Ethylene Propylene Diene Monomer (SMR L/EPDM) blend were investigated. Standard Malaysian Rubber/Ethylene Propylene Diene Monomer / Epoxidized Natural Rubber (SMR L/EPDM / ENR-50) blends were prepared by two-roll mill with five different compositions (i.e., 80/20/0, 80/20/1, 80/20/3, 80/20/5, 80/20/7 and 80/20/10), which the (SMR L/EPDM) content fixed at 80/20 which is the optimum ratio for (SMR L/EPDM) depending on our previous study. Cure characteristics, mechanical properties studies were performed to determine the compatibility of SMR L/EPDM blends in the presence of ENR-50 as a compatibilizer. The optimum cure characteristics showed by SMR L/EPDM blends with the presence of ENR-50, which lower scorch time t2 and cure time t90 and increase the cure rate index CRI. In addition, SMR L/EPDM blends with the presence of ENR-50 have improved the physical properties such as swelling test, crosslink density and hardness test.

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Recycled Natural Rubber Latex Gloves Filled Chloroprene Rubber: Effects of Compatibilizers

引用

Journal of Physics: Conference Series 2018年第1期1019卷

In this study, the effects of the compatibilizers; trans-polyoctylene (TOR) and epoxidized natural rubber (ENR-50), on the cure characteristics and tensile properties of recycled natural rubber latex gloves (rNR-G) filled chloroprene rubber (CR) were investigated. Blends consisting of rNR-G in a weight ratio 20 phr in CR and The compatibilizers TOR and ENR-50 at different concentrations, i.e. 2, 4, 6, 8 and 10 phr, were prepared using a two roll mill. Incorporation of TOR resulted in a reducing of the cure characteristics, meanwhile ENR-50 increased them. On the other hand, both of TOR and ENR-50 were improved tensile properties. These effects are attributed to the enhanced interfacial adhesion between rNR-G and phases through the compatibilizing effect induced by TOR and ENR-50, and the good dispersion of the rNR-G phase in the CR matrix. The results confirmed that TOR and ENR-50 could potentially be used as compatibilizers for the recycled natural rubber latex gloves filled chloroprene rubber.

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Deep Learning-Based Automatic Multi-Level Airway Collapse Monitoring on Obstructive Sleep Apnea Patients

arXiv

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arXiv 2024年

作者： Hsu, Ying-Chieh Liu, Stanley Yung-Chuan Huang, Chao-Jung Wu, Chi-Wei Cheng, Ren-Kai Hsu, Jane Yung-Jen Huang, Shang-Ran Cheng, Yuan-Ren Hsu, Fu-Shun Department of Biomedical Engineering National Taiwan University Taipei Taiwan Department of Otolaryngology Head and Neck Surgery Taipei Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Taipei Taiwan Tzu Chi University School of Medicine Hualien Taiwan Department of Oral & Maxillofacial Surgery Nova Southeastern University College of Dental Medicine College of Allopathic Medicine Florida United States All Vista Healthcare Center Center for AI and Advanced Robotics National Taiwan University Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Department of Artificial Intelligence Chang Gung University College of Intelligent Computing Taoyuan Taiwan Heroic Faith Medical Science Co. Ltd. New Taipei Taiwan School of Medicine Chung Shan Medical University Taichung Taiwan Department of Internal Medicine Chung Shan Medical University Taichung Taiwan Hospital Development Affairs Office Chung Shan Medical University Hospital Taichung Taiwan

This study investigated the use of deep learning to identify multi-level upper airway collapses in obstructive sleep apnea (OSA) patients based on snoring sounds. We fi-ne-tuned ResNet-50 and Audio Spectrogram Transformer (AST) models using snoring recordings from 37 subjects undergoing drug-induced sleep endoscopy (DISE) between 2020 and 2021. Snoring sounds were labeled according to the VOTE (Velum, Orophar-ynx, Tongue Base, Epiglottis) classification, resulting in 259 V, 403 O, 77 T, 13 E, 1016 VO, 46 VT, 140 OT, 39 OE, 30 VOT, and 3150 non-snoring (N) 0.5-second clips. The models were trained for two multi-label classification tasks: identifying obstructions at V, O, T, and E levels, and identifying retropalatal (RP) and retroglossal (RG) obstruc-tions. Results showed AST slightly outperformed ResNet-50, demonstrating good abil-ity to identify V (F1-score: 0.71, MCC: 0.61, AUC: 0.89), O (F1-score: 0.80, MCC: 0.72, AUC: 0.94), and RP obstructions (F1-score: 0.86, MCC: 0.77, AUC: 0.97). However, both models struggled with T, E, and RG classifications due to limited data. Retrospective analysis of a full-night recording showed the potential to profile airway obstruction dynamics. We expect this information, combined with polysomnography and other clinical parameters, can aid clinical triage and treatment planning for OSA patients. © 2024, CC BY-SA.

关键词： Endoscopy

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