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Numerical Simulation of Spear Motion as Game Items

Journal of Physics: Conference Series 2020年第1期1445卷

作者： R R Muhima S Mardi M Hariadi I Puspitasari Informatics Engineering Department ITATS Arief Rachman Hakim 100 Surabaya Indonesia Electrical Engineering Department Sepuluh Nopember Institute of Technology Indonesia Information System Study Program Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya 60115 Indonesia

Game development in 3D is mostly done by characters, items and the environment. Game items such as character weapons modeled in 3D will be the attraction of a game. In this paper, spear motion as a game items is modeled in 3D. Nonlinear Equations Six Degrees of Freedom (6 DOF) are used for mathematical models of spear motion. The parameters studied in the motion model are: geometry, mass and aerodynamics. Spear aerodynamic parameters were analyzed using the Datcom method. Numerical simulation of mathematical models of spear motion with variations in the initial velocity of the throw and the direction of the throw. From the results of numerical simulation, the maximum range R = 131.7 m at the initial velocity V0 = 40 m/s, the direction of throw (angle θ0 = 35 deg, angle 0 = 10 deg, ψ0 = 0 deg). And the maximum height Hmax = 12.18 m is achieved at the initial velocity V0 = 20 m/s, direction of throw (angle θ0 = 35 deg, angle 0 = 40 deg, angle ψ0 = 0 deg).

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Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records

arXiv

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arXiv 2021年

作者： Xie, Feng Zhou, Jun Lee, Jin Wee Tan, Mingrui Li, Siqi Rajnthern, Logasan S.O. Chee, Marcel Lucas Chakraborty, Bibhas Wong, An-Kwok Ian Dagan, Alon Ong, Marcus Eng Hock Gao, Fei Liu, Nan Centre for Quantitative Medicine and Programme in Health Services and Systems Research Duke-NUS Medical School Singapore Singapore Singapore Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Faculty of Medicine Nursing and Health Sciences Monash University VIC Australia Department of Statistics and Data Science National University of Singapore Singapore Singapore Department of Biostatistics and Bioinformatics Duke University DurhamNC United States Division of Pulmonary Allergy and Critical Care Medicine Duke University DurhamNC United States Department of Emergency Medicine Beth Israel Deaconess Medical Center Harvard Medical School BostonMA United States MIT Critical Data Laboratory for Computational Physiology Institute for Medical Engineering and Science Massachusetts Institute of Technology CambridgeMA United States Department of Emergency Medicine Singapore General Hospital Singapore Singapore SingHealth AI Health Program Singapore Health Services Singapore Singapore Institute of Data Science National University of Singapore Singapore Singapore

The demand for emergency department (ED) services is increasing across the globe, particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have become increasingly challenging due to the shortage of medical resources and the strain on hospital infrastructure caused by the pandemic. As a result of the widespread use of electronic health records (EHRs), we now have access to a vast amount of clinical data, which allows us to develop predictive models and decision support systems to address these challenges. To date, however, there are no widely accepted benchmark ED triage prediction models based on large-scale public EHR data. An open-source benchmarking platform would streamline research workflows by eliminating cumbersome data preprocessing, and facilitate comparisons among different studies and methodologies. In this paper, based on the Medical Information Mart for Intensive Care IV Emergency Department (MIMIC-IV-ED) database, we developed a publicly available benchmark suite for ED triage predictive models and created a benchmark dataset that contains over 400,000 ED visits from 2011 to 2019. We introduced three ED-based outcomes (hospitalization, critical outcomes, and 72-hour ED reattendance) and implemented a variety of popular methodologies, ranging from machine learning methods to clinical scoring systems. We evaluated and compared the performance of these methods against benchmark tasks. Our codes are open-source, allowing anyone with MIMIC-IV-ED data access to perform the same steps in data processing, benchmark model building, and experiments. This study provides future researchers with insights, suggestions, and protocols for managing raw data and developing risk triaging tools for emergency care. © 2021, CC BY.

关键词： Learning systems

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Gene expression experiment reveals negative enrichment of immune system related pathways in interictal migraineurs

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Neuroscience Applied 2022年 1卷

作者： S. Kumar K. Gecse T. Nagy D. Baksa G. Bagdy G. Juhasz P. Petschner 1Faculty of Pharmacy - Semmelweis University Department of Pharmacodynamics Budapest Hungary 2Hungarian Brain Research Program- Semmelweis University SE-NAP2 Genetic Brain Imaging Migraine Research Group Budapest Hungary 3Faculty of Electrical Engineering and Informatics - Budapest University of Technology and Economics Department of Measurement and Information Systems Budapest Hungary 4Hungarian Academy of Sciences - Semmelweis University MTA-SE Neuropsychopharmacology and Neurochemistry Research Group Budapest Hungary 5Hungarian Brain Research Program - Semmelweis University NAP-2-SE New Antidepressant Target Research Group Budapest Hungary 6Institute for Chemical Research - Kyoto University Bioinformatics Center Uji- Kyoto Japan

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P 114 – Analysis of eeg signal in a child with hemiparetic cerebral palsy during a motor activity: Case study

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Gait and Posture 2018年第Sup1期65卷 424-425页

作者： Miziara, Isabela Marques Lopes, Jamile Benite Palma Kahani, Danial Lazzari, Roberta Delasta Moura, R. Conway, Bernard Arthur Oliveira, Claudia Santos Naves, Eduardo Lázaro Martins Federal University of Uberlandia Faculty of Electrical Engineering Uberlandia Minas Gerais Brazil Faculty of Medical Sciences of Santa Casa de São Paulo Health Sciences Program São Paulo Brazil University of Strathclyde Department of Bioengineering Glasgow United Kingdom Nove de Julho University Program in Rehabilitation Sciences São Paulo Brazil University Center of Anapolis Postgraduate Program Anápolis Goias Brazil

The fundamental characteristic of hemiparetic cerebral palsy is the greater motor impairment on the body side that corresponds to the injured cerebral hemisphere. Hemiparesis usually affects the upper limbs, which can provide significant functional disabilities to this population. The objective of this study was to compare alpha and beta band synchronization and desynchronization during the execution of the task in a game, using the limbs paretic and non-paretic. As a result, observed a synchronization of the alpha band for the movement performed by the paretic limb and a desynchronization using the non-paretic limb. This result may indicate less cortical and physical effort to perform the task using the paretic limb. It is believed that this information can stimulate research with a greater number of volunteers and the more thorough study of brain activity in this population. © 2018 Elsevier B.V.

关键词： Alpha band Beta band Cerebral activity Cerebral palsy Children Desynchronization Electroencephalography Game Hemiparetic Memory Motor cortex Movement Reach task Synchronization Upper limb

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Compliant lightweight non-invasive standalone“Marine Skin”tagging system

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npj Flexible Electronics 2018年第1期2卷 97-105页

作者： Joanna M.Nassar Sherjeel M.Khan Seneca J.Velling Andrea Diaz-Gaxiola Sohail F.Shaikh Nathan R.Geraldi Galo A.Torres Sevilla Carlos M.Duarte Muhammad M.Hussain mmh Labs Computer Electrical Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Material&Nanoscience Program Faculty of ScienceUniversity of WaterlooWaterlooON N2L-3G1Canada Red Sea Research Center(RSRC) Biological and Environmental Sciences and Engineering(BESE)DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia

Current marine research primarily depends on weighty and invasive sensory equipment and telemetric network to understand the marine environment,including the diverse fauna it contains,as a function of animal behavior and size,as well as equipment *** match animal morphology and activity within the surrounding marine environment,here we show a physically flexible and stretchable skin-like and waterproof autonomous multifunctional system,integrating Bluetooth,memory chip,and high performance physical *** sensory tag is mounted on a swimming crab(Portunus pelagicus)and is capable of continuous logging of depth,temperature,and salinity within the harsh ocean *** fully packaged,ultra-lightweight(<2.4 g in water),and compliant“Marine Skin”system does not have any wired connection enabling safe and weightless cuttingedge approach to monitor and assess marine life and the ecosystem’s health to support conservation and management of marine ecosystems.

关键词： Marine system Skin

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Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data

Prototype Selection Using Self-Organizing-Maps and Entropy f...

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International Joint Conference on Neural Networks

作者： Marcio Rubbo Leandro A. Silva Graduate Program in Electrical Engineering and Computing Mackenzie Presbyterian University Sao Paulo SP Brazil Computing and Informatics Faculty & Graduate Program in Electrical Engineering and Computing Mackenzie Presbyterian University Sao Paulo SP Brazil

The k nearest neighbor (kNN) is a traditional supervised classifier used in data mining tasks. However, when used in real applications, mainly in a dataset with class imbalance or class overlap, kNN suffers with problems in accuracy performance. In this paper, we propose three prototype selection methods using self-organizing maps (SOM) and information entropy to increase the effectiveness of the kNN classifier in datasets with these conditions. The methods, named SOMEntropyKnn, were able to increase the effectiveness of the kNN classifier in all the 14 datasets used in the experiment, increasing the accuracy performance from datasets with imbalance or overlap problems.

关键词： Prototypes Entropy Self-organizing feature maps Neurons Training Information entropy electrical engineering

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Techno-economic analysis of slip ring motor replaced by standard squirrel cage induction motor with VSD

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Journal of Physics: Conference Series 2019年第3期1402卷

作者： H Dewi F H Jufri C Hudaya Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok 16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok 16424 Indonesia

Induction motor slip ring-type technology has been widely used in industrial as one of the crucial electrical components to convert energy mechanically. The construction of this motor is more complex than other standardized induction motors such as squirrel cage. The complexity lies in the connection between the rings and brushes which requires more maintenance. Meanwhile, Squirrel cage motor that is supported by a Variable Speed Drive allows its user to start motor smoothly and adjusts the speed more efficiently. In this study, we exclusively investigate the possibility of the outdated technology replacement by using squirrel cage standardized induction motor based on its compatibility and the financial perspective as well. To prevent any coming up problems, the selections of new motor and VSD must fulfil the requirement of the existing system. Technical data were collected from customer's SCADA and nameplates. While the financial calculation was made based on the payback period. In this case, the payback period is projected within two years and the energy saving could reach 69% that basically depends on operation patterns. According to our perspective, standard squirrel cage motor potentially replaces the slip ring motor in which it is not only having a simple operation but also less maintenance and energy cost.

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Electricity Savings Using Passive Filters

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Journal of Physics: Conference Series 2019年第1期1165卷

作者： I G Ratnaya N Santiyadnya I P Suka Arsa Electrical Engineering Education Study Program Technical and Vocational Faculty Universitas Pendidikan Ganesha

This study aims to provide knowledge in order to save electricity consumption. The use of electrical energy is recorded at KWH meters. Saving electricity means limiting the use of electrical energy according to need. The use of electrical energy is based on the use of electrical power. Technically, this dimmer serves to regulate the use of electrical power. Some electrical equipment has been equipped with dimmers to regulate the operation of the equipment in accordance with the user's want, yet there are still many electrical equipment that is not equipped with dimmers. This is a problem in the efforts to save electricity. The method used in this study is applying passive components in electricity such as inductors, capacitors and resistors. These passive components are arranged to be used as filter circuits. With a 21 mH inductor with an air core, Farad's 12.5 micro capacitor, and 4.7 ohm resistor can be made as a passive filter that is installed before electric loads. The use of this filter circuit can save the use of electricity up to 15% at a load current of 2 amperes. Thus, electricity bill payments can be reduced by up to 15%. In the future, this research can be continued to improve the efficiency of electricity consumption by modifying passive filters.

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Short-Term Effects of a Therapeutic Diet on Biochemical Parameters in Hemodialysis Patients: A Randomized Crossover Trial

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Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation 2023年第6期33卷 731-739页

作者： Wan-Chuan Tsai Shih-Ping Hsu Yen-Ling Chiu Hon-Yen Wu Chia-Chin Luan Ju-Yeh Yang Mei-Fen Pai Cheng-Jui Lin Wan-Yu Lin Wen-Huei Sun Yu-Sen Peng Division of Nephrology Department of Internal Medicine Far Eastern Memorial Hospital New Taipei City Taiwan Center for General Education Lee-Ming Institute of Technology New Taipei City Taiwan. School of Life Science National Taiwan Normal University Taipei City Taiwan. Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan. Institute of Epidemiology and Preventive Medicine College of Public Health National Taiwan University Taipei City Taiwan Faculty of Medicine School of Medicine National Yang-Ming University Taipei City Taiwan. Dietary Department Far Eastern Memorial Hospital New Taipei City Taiwan. Division of Nephrology Department of Internal Medicine Far Eastern Memorial Hospital New Taipei City Taiwan. Division of Nephrology Department of Internal Medicine Mackay Memorial Hospital Taipei City Taiwan Department of Medicine Mackay Medical College Taipei City Taiwan Mackay Junior College of Medicine Nursing and Management Taipei City Taiwan. Institute of Epidemiology and Preventive Medicine College of Public Health National Taiwan University Taipei City Taiwan. Dietary Department Far Eastern Memorial Hospital New Taipei City Taiwan. Electronic address: 830636231@mail.femh.org.tw. Department of Applied Cosmetology Lee-Ming Institute of Technology New Taipei City Taiwan Department of Electrical Engineering Yuan Ze University Taoyuan City Taiwan. Electronic address: taan70@***.

OBJECTIVE:Although unhealthy diets exacerbate nutritional and metabolic derangements in patients with end-stage kidney disease (ESKD), how therapeutic diets that possess a variety of different dietary strategies acutely modify diverse biochemical parameters related to cardiovascular disease remains underexplored. METHODS:Thirty-three adults with end-stage kidney disease undergoing thrice-weekly hemodialysis participated in a randomized crossover trial comparing a therapeutic diet with their usual diets for 7 days, separated by a 4-week washout period. The therapeutic diet was characterized by adequate calorie and protein amounts, natural food ingredients with a low phosphorus-to-protein ratio, higher portions of plant-based food, and high fiber content. The primary outcome measure was the mean difference in the change-from-baseline intact fibroblast growth factor 23 (FGF23) level between the 2 diets. The other outcomes of interest included changes in mineral parameters, uremic toxins, and high-sensitivity C-reactive protein (hs-CRP) levels. RESULTS:Compared with the usual diet, the therapeutic diet lowered intact FGF23 levels (P = .001), decreased serum phosphate levels (P < .001), reduced intact parathyroid hormone (PTH) levels (P = .003), lowered C-terminal FGF23 levels (P = .03), increased serum calcium levels (P = .01), and tended to lower total indoxyl sulfate levels (P = .07) but had no significant effect on hs-CRP levels. Among these changes, reduction in serum phosphate level achieved in 2 days, modifications of intact PTH and calcium levels in 5 days, and reductions in intact and C-terminal FGF23 levels in 7 days of therapeutic diet intervention. CONCLUSION:Within the 1-week intervention period, the dialysis-specific therapeutic diet rapidly reversed mineral abnormalities and tended to decrease total indoxyl sulfate levels in patients undergoing hemodialysis but had no effect on inflammation. Future studies to assess the long-term effects of such therapeuti

关键词： FGF23 dialysis inflammation therapeutic diet uremic toxin

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Universal research index: An inclusive metric to quantify scientific research output

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Journal of Academic Librarianship 2023年第3期49卷

作者： Keshavarz-Fathi, Mahsa Yazdanpanah, Niloufar Kolahchi, Sajad Ziaei, Heliya Darmstadt, Gary L. Dorigo, Tommaso Dochy, Filip Levin, Lisa Thongboonkerd, Visith Ogino, Shuji Chen, Wei-Hsin Perc, Matjaz Tremblay, Mark S. Olusanya, Bolajoko O. Rao, Idupulapati M. Hatziargyriou, Nikos Moradi-Lakeh, Maziar Bella, Federico Rosivall, Laszlo Gandomi, Amir H. Sorooshian, Armin Gupta, Manoj Gal, Ciprian Lozano, Andres M. Weaver, Connie Tanzer, Michael Poggi, Alessandro Sepanlou, Sadaf G. Weiskirchen, Ralf Jambrak, Anet Režek Torres, Pedro J. Capanoglu, Esra Barba, Francisco J. Ernest, Chua Kian Jon Sigman, Mariano Pluchino, Stefano Gharehpetian, Gevork B. Fereshtehnejad, Seyed-Mohammad Yang, Muh-Hwa Thomas, Sabu Cai, Wenju Comini, Elisabetta Scolding, Neil J. Myles, Paul S. Nieto, Juan J. Perry, George Sedikides, Constantine Rezaei, Nima School of Medicine Tehran University of Medical Sciences Tehran Iran Universal Scientific Education and Research Network (USERN) Iran Department of Pediatrics Stanford University School of Medicine Stanford CA United States Istituto Nazionale di Fisica Nucleare (INFN) Via Francesco Marzolo Sezione di Padova Italy High Impact Learning Academy Learning and Development Department Brussels Belgium Center for Marine Biodiversity and Conservation Integrative Oceanography Division Scripps Institution of Oceanography University of California San Diego San Diego CA United States Medical Proteomics Unit Office for Research and Development Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand Department of Epidemiology Harvard T.H. Chan School of Public Health Boston MA United States Program in MPE Molecular Pathological Epidemiology Department of Pathology Brigham and Women's Hospital and Harvard Medical School Boston MA United States Broad Institute of MIT and Harvard Cambridge MA United States Department of Aeronautics and Astronautics National Cheng Kung University Tainan Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung 407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung 411 Taiwan Faculty of Natural Sciences and Mathematics University of Maribor Maribor Slovenia Department of Medical Research China Medical University Hospital China Medical University Taichung Taiwan Complexity Science Hub Vienna Vienna Austria Alma Mater Europaea Maribor Slovenia Children's Hospital of Eastern Ontario Research Institute Department of Pediatrics University of Ottawa Ottawa ON Canada Centre for Healthy Start Initiative Ikoyi Lagos Nigeria Alliance of Bioversity International International Center for Tropical Agriculture Cali Colombia International Centre of Insect Physiology and Ecology (ICIPE) Nairobi Kenya School of Electrical and Computer Engineering Natio

Scientometrics and bibliometrics, the subfields of library and information science, deal with the quantity and quality of research outputs. Currently, various scientometric indices are being used to quantify and compare research outputs. The most widely known is the h-index. However, this index and its derivatives suffer from dependence on the mere count of a scholar's highly cited publications. To remedy this deficiency, we developed a novel index, the Universal Research Index (UR-Index) (https://***/UR-Index/) by which every single publication has its own impact on the total score. We developed this index by surveying international top 1 % cited scientists in various disciplines and included additional component variables such as publication type, leading role of a scholar, co-author count, and source metrics to this scientometric index. We acknowledge that unconscious biases built into the component variables included in the UR-Index might put research from specific groups at a disadvantage, thus continued efforts to improve equitable scholarly impact in science and academia are encouraged. © 2023 Elsevier Inc.

关键词： Citations CiteScore h-index Impact factor Leading author Research impact Scholarly impact Scholarly output Scientometrics UR-Index USERN

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