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arXiv 2023年

作者： Cabezas, C. Tang, J. Agúndez, M. Seiki, K. Sumiyoshi, Y. Ohshima, Y. Tercero, B. Marcelino, N. Fuentetaja, R. de Vicente, P. Endo, Y. Cernicharo, J. C/Serrano 121 Madrid28006 Spain Institute of Global Human Resource Development Graduate School of Natural Science and Technology Okayama University 3-1-1 Tsushima-naka Kita-ku Okayama700-8531 Japan Department of Basic Science The University of Tokyo 3-8-1 Komaba Meguro-ku Tokyo153-8902 Japan Division of Pure and Applied Science Graduate School of Science and Technology Gunma University 4-2 Aramaki Gunma Maebashi371-8510 Japan Department of Chemistry School of Science Tokyo Institute of Technology Ookayama 2-12-1 Meguro Tokyo152-8550 Japan C/Alfonso XII 3 Madrid28014 Spain Cerro de la Palera s/n Yebes Guadalajara19141 Spain Department of Applied Chemistry National Yang Ming Chiao Tung University Science Building II 1001 Ta-Hsueh Rd. Hsinchu300098 Taiwan

We report the first laboratory and interstellar detection of the α-cyano vinyl radical (H2CCCN). This species was produced in the laboratory by an electric discharge of a gas mixture of vinyl cyanide, CH2CHCN, and Ne, and its rotational spectrum was characterized using a Balle-Flygare narrowband-type Fourier-transform microwave spectrometer operating in the frequency region of 8-40 GHz. The observed spectrum shows a complex structure due to tunneling splittings between two torsional sublevels of the ground vibronic state, 0+ and 0−, derived from a large-amplitude inversion motion. In addition, the presence of two equivalent hydrogen nuclei makes necessary to discern between ortho- and para-H2CCCN. A least squares analysis reproduces the observed transition frequencies with a standard deviation of ca. 3 kHz. Using the laboratory predictions, this radical is detected in the cold dark cloud TMC-1 using the Yebes 40m telescope and the QUIJOTE1 line survey. The 40,4-30,3 and 50,5-40,4 rotational transitions, composed of several hyperfine components, were observed in the 31.0-50.4 GHz range. Adopting a rotational temperature of 6 K we derive a column density of (1.4±0.2)×1011 cm−2 and (1.1±0.2)×1011 cm−2 for ortho-H2CCCN and para-H2CCCN, respectively. The reactions C + CH3CN, and perhaps also N + CH2CCH, emerge as the most likely routes to H2CCCN in TMC-1. © 2023, CC BY.

关键词： Electric discharges

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Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition 2nd

Evaluation of Galvanic Skin Response (GSR) Signals Features ...

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2nd International Conference on applied Intelligence and Informatics, AII 2022

作者： Kipli, Kuryati Latip, Aisya Amelia Abdul Lias, Kasumawati Bateni, Norazlina Yusoff, Salmah Mohamad Suud, Jamaah Jalil, M.A. Ray, Kanad Kaiser, M. Shamim Mahmud, Mufti Faculty of Engineering Universiti Malaysia Sarawak Kota Samarahan94300 Malaysia Faculty of Cognitive Sciences and Human Development Universiti Malaysia Sarawak Kota Samarahan94300 Malaysia Polytechnic Kuching Sarawak Sarawak Kuching93050 Malaysia Department of Physics Faculty of Science Universiti Teknologi Malaysia Johor Skudai81310 Malaysia Amity School of Applied Sciences Amity University Rajasthan303001 India Institute of Information Technology Jahangirnagar University Dhaka Savar1342 Bangladesh Nottingham Trent University Clifton Lane NottinghamNG11 8NS United Kingdom

ISBN: (纸本)9783031248009

Over the years, physiological signals have shown its efficiency in emotion recognition. Galvanic skin response (GSR) is a quantifiable physiological signal generated from the change of skin conductance in response to emotional stimulation. Understanding human emotions through GSR signals can be a challenging task because of the characteristic’s complexity. The current performance on the analysis of GSR signals has yet to be satisfactory due to a lack of detailed evaluation on the performance of features extracted from GSR signals. Previous studies have compared the recognition rates between different physiological signals between electroencephalogram (EEG), electrocardiogram (ECG), and GSR as a group or focused on the performance of emotion recognition using a fusion of signals. This paper presents an evaluation of extracted features specifically from GSR signals from a public dataset named as AMIGOS database. The MATLAB software was used for the simulation. In the study, feature extraction techniques were performed to extract features in time domain and frequency domain features. These features are ranked using the one-way ANOVA method in MATLAB. Several subsets of different number of features based on the type of feature and significance level were formed for optimum selection. The state of art classification algorithm for GSR which is Support Vector Machine (SVM) was employed to evaluate the classification performance using the ranked features. The methodology proposed by this study was able to achieve high accuracy rates that are comparable with existing studies that had employed the same AMIGOS database. The frequency domain features achieved the highest accuracy for all four emotion classes. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Emotion Recognition

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“Brain drains”: Evaluating international transfer intention among international business program graduates

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AIP Conference Proceedings 2024年第1期2799卷

作者： Mohd Fitri Mansor Lee Li Xuan Noor Hidayah Abu Irza Hanie Abu Samah Faculty of Applied & Human Sciences Universiti Malaysia Perlis 01000 Kangar Perlis Malaysia School of Technology Management and Logistics Universiti Utara Malaysia 06010 Sintok Kedah Malaysia Faculty of Social Sciences and Humanities School of Human Resource Development & Psychology Universiti Teknologi Malaysia 80990 Johor Bahru Johor Malaysia

human capital is one of vital resources in order to drive economic growth and country development. Failure to sustain them in the country leads issue of brain drains phenomenon. Subsequent to this issue, the country will face losses of high skilled workforce. Therefore, this phenomenon should be addressed properly to avoid the talents migration or intension to leave the country to gain better career development abroad. In view of the above, this study attempts to investigate and evaluate the drivers of brain drains intention among graduates in International Business program. The study examines four main constructs that cause to the brain drains; salary and benefits, family reason, workplace environment and political reason. This study employed quantitative approach via randomly distributing online questionnaires to 260 respondents. The study findings revealed that, political reason contribute to the strongest correlation towards intention to migrate. Furthermore, all constructs were positively and significantly contributes to the intention to migrate among International Business graduates. This study also highlights the study significance, limitations and recommendations for future research.

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E3 ubiquitin ligase UBR5 modulates circadian rhythm by facilitating the ubiquitination and degradation of the key clock transcription factor BMAL1

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中国药理学报（英文版） 2024年第9期45卷 1793-1808页

作者： Chun-yan Duan Yue Li Hao-yu Zhi Yao Tian Zheng-yun Huang Su-ping Chen Yang Zhang Qing Liu Liang Zhou Xiao-gang Jiang Kifayat Ullah Qing Guo Zhao-hui Liu Ying Xu Jun-hai Han Jiajie Hou Darran P O'Connor Guoqiang Xu Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics DevelopmentJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic DiseasesSoochow UniversitySuzhou 215123China School of Pharmacy and Biomolecular Sciences RCSI University of Medicine and Health Sciences123 St Stephen's GreenDublin 2D02 YN77 DublinIreland Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics DevelopmentJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic DiseasesSoochow UniversitySuzhou 215123China School of Life Science and Technology The Key Laboratory of Developmental Genes and Human DiseaseSoutheast University2 Sipailou RoadNanjing 210096China Jiangsu Key Laboratory of Neuropsychiatric Diseases and Cambridge-Suda Genomic Resource Center Soochow UniversitySuzhou 215123China Department of Human Anatomy and Cytoneurobiology Medical School of Soochow UniversitySuzhou 215123China Cancer Centre Faculty of Health SciencesUniversity of MacauMacau SARChina School of Pharmacy and Biomolecular Sciences RCSI University of Medicine and Health Sciences123 St Stephen's GreenDublin 2D02 YN77 DublinIreland Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics DevelopmentJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric DiseasesSuzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic DiseasesSoochow UniversitySuzhou 215123China Suzhou International Joint Laboratory for Di

The circadian clock is the inner rhythm of life activities and is controlled by a self-sustained and endogenous molecular clock,which maintains a～24 h internal *** the core element of the circadian clock,BMAL1 is susceptible to degradation through the ubiquitin-proteasome system(UPS).Nevertheless,scant information is available regarding the UPS enzymes that intricately modulate both the stability and transcriptional activity of BMAL1,affecting the cellular circadian *** this work,we identify and validate UBR5 as a new E3 ubiquitin ligase that interacts with BMAL1 by using affinity purification,mass spectrometry,and biochemical ***5 overexpression induced BMAL1 ubiquitination,leading to diminished stability and reduced protein level of BMAL1,thereby attenuating its transcriptional *** with this,UBR5 knockdown increases the BMAL1 *** mapping discloses that the C-terminus of BMAL1 interacts with the N-terminal domains of ***,cell-line-based experiments discover that HYD,the UBR5 homolog in Drosophila,could interact with and downregulate CYCLE,the BMAL1 homolog in ***2-luciferase bioluminescence real-time reporting assay in a mammalian cell line and behavioral experiments in Drosophila reveal that UBR5 or hyd knockdown significantly reduces the period of the circadian ***,our work discovers a new ubiquitin ligase UBR5 that regulates BMAL1 stability and circadian rhythm and elucidates the underlying molecular *** work provides an additional layer of complexity to the regulatory network of the circadian clock at the post-translational modification level,offering potential insights into the modulation of the dysregulated circadian rhythm.

关键词： BMAL1 circadian rhythm proteomics transcriptional activity ubiquitination UBR5

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Analytics in Higher Education: Scoping the Landscape of Research in the Area

Analytics in Higher Education: Scoping the Landscape of Rese...

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International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Natashaa Kaul Amruta Deshpande Amit Mittal Vishal Jain Symbiosis Center for Management and Human Resource Development Pune India Symbiosis International University Pune India Indira School of Business Studies PGDM Pune India Chitkara Business School Chitkara University Punjab India Department of Computer Science and Engineering School of Engineering and Technology Sharda University Greater Noida U.P. India

ISBN: (纸本)9781665487351

Understanding the research landscape of any domain is of primary importance at all stages of a concept's evolution. Research in the domain of analytics has increased exponentially in the past decade, analytics is a tool being applied to increase effectiveness and efficiency within all domains. Similarly, there are numerous research studies that have applied analytics to the domain of higher education. Assessing research activity is important for planning future research and identifying the way forward to make meaningful contributions. The objective of this paper is to examine the current research in this domain and to identify emerging areas of research to make meaningful contributions. Bibliometric analysis was applied using Scopus. Documents on analytics and higher education keywords in business, accounting and management and published in journals were considered for the analysis. Vos Viewer was used for bibliometric analysis in the area, to identify emerging research themes and to understand the scope of applying analytics in higher education. The search query found 1635 documents when using the keywords of “analytics” and “higher education”. This was further narrowed down to research in Business Management and Accounting and using Journal articles and conference articles, finally yielding 103 articles. After a primary read to remove articles misplaced in the group the final number of articles include for the bibliometric analysis came down to 98. There has been an increase in publications since 2018 with interest increasing post pandemic in the area. The research categories are Student outcomes and perspective, academician outcomes and perspective, design of learning systems, etc. Based on this, it is recommended that research should focus on theoretical aspects of applying analytics to HEIs, ethical issues in data collection, etc..

关键词： Learning systems Pandemics Education Bibliometrics Data collection Market research Mathematical models

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Water consumption and biodiversity:Responses to global emergency events

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Science Bulletin 2024年第16期69卷 2632-2646页

作者： Dandan Zhao Junguo Liu Laixiang Sun Klaus Hubacek Stephan Pfister Kuishuang Feng Heran Zheng Xu Peng Daoping Wang Hong Yang Lei Shen Fei Lun Xu Zhao Bin Chen Marko Keskinen Shaohui Zhang Jialiang Cai Olli Varis Water&Development Research Group Department of Built EnvironmentAalto UniversityEspoo 15200Finland School of Water Conservancy North China University of Water Resources and Electric PowerZhengzhou 450046China School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Geographical Sciences University of MarylandCollege Park 20742USA School of Finance and Management SOASUniversity of LondonLondon WC1H0XGUK Integrated Research on Energy Environment and SocietyEnergy and Sustainability Research Institute GroningenUniversity of GroningenGroningen 9747AGthe Netherlands ETH Zurich Institute of Environmental EngineeringZurich 8093Switzerland The Bartlett School of Sustainable Construction University College LondonLondon WC1E6BTUK School of Business Jiangnan UniversityWuxi 214122China Department of Computer Science and Technology University of CambridgeCambridge CB21TNUK w2e Environmental Consulting GmbH Duebendorf 8600Switzerland Key Laboratory for Resource Use and Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Land Science and Technology China Agricultural UniversityBeijing 100083China Institute of Blue and Green Development Shandong UniversityWeihai 264209China Fudan Tyndall Center Department of Environmental Science and EngineeringFudan UniversityShanghai 200438China School of Economics and Management Beihang UniversityBeijing 100191China International Institute for Applied Systems Analysis Laxenburg A-2361Austria

Given that it was a once-in-a-century emergency event,the confinement measures related to the coronavirus disease 2019(COVID-19)pandemic caused diverse disruptions and changes in life and work *** changes significantly affected water consumption both during and after the pandemic,with direct and indirect consequences on ***,there has been a lack of holistic evaluation of these ***,we propose a novel framework to study the impacts of this unique global emergency event by embedding an environmentally extended supply-constrained global multi-regional input-output model(MRIO)into the drivers-pressure-state-impact-response(DPSIR)*** framework allowed us to develop scenarios related to COVID-19 confinement measures to quantify country-sector-specific changes in freshwater consumption and the associated changes in biodiversity for the period of *** results suggest progressively diminishing impacts due to the implementation of COVID-19 vaccines and the socio-economic system’s self-adjustment to the new *** 2020,the confinement measures were estimated to decrease global water consumption by about 5.7% on average across all scenarios when compared with the baseline level with no confinement ***,such a decrease is estimated to lead to a reduction of around 5% in the related pressure on *** the interdependencies and interactions across global supply chains,even those countries and sectors that were not directly affected by the COVID-19 shocks experienced significant impacts:Our results indicate that the supply chain propagations contributed to 79% of the total estimated decrease in water consumption and 84%of the reduction in biodiversity loss on *** study demonstrates that the MRIO-enhanced DSPIR framework can help quantify resource pressures and the resultant environmental impacts across supply chains when facing a global emergency ***,we recommend the development o

关键词： Global emergency events Water-biodiversity causal effect COVID-19 Biodiversity MRIO-enhanced DPSIR framework Supply-chain network High-resolution water consumption dataset Supply-constrained multi-regional input-output(mixed MRIO)model

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Security Issues and Challenges in Internet of Things (IoT) System

Security Issues and Challenges in Internet of Things (IoT) S...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Joel Alanya Beltran Pankaj Mudholkar Megha Mudholkar Vikas Tripathi Carlos Valderrama-Zapata Melanie Lourense Universidad Tecnológica del Perú Perú Department of Computer Applications Marwadi University Rajkot Gujarat India Department of MCA Studies Career Development & Research Thakur Institute of Management Mumbai Maharashtra India Department of CSE Graphic Era Deemed to be University Dehradun Uttarakhand India Universidad San Ignacio de Loyola Perú Department of Human Resource Management Durban Universwity of Technology Berea Durban South Africa

Significant privacy and security concerns apply to the Internet of Things. IoT issues might include driver ignorance, inadequate device updates, a lack of robust and effective safeguards, and unreliable dynamic instrument management. The study’s objectives include identifying (a) various cybersecurity concern regarding, (b) techniques for attempting to secure IoT-enabled options and buildings, (c) available at the moment security remedies, and (d) the much more acceptable privacy depictions for the differing stages of technology apps. Researchers proposed a new, generally expanded layered paradigm that included security and privacy tools as well as layer documenting. the recommended virtualized Internet of Things system’s deployment and evaluation. Internet of Things (IoT) units built as virtualized using Amazon Web Services make the bottom layer (AWS). The topcoat was developed by researchers utilising AWS’s cloud-based IoT platform (the cloud). To allow data transfer between the envisioned cloud/edge authorised IoT representation’s levels, researchers have created ssl certificates.

关键词： Privacy Cloud computing Web services Buildings Companies Production Touch sensitive screens

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Analyzing and forecasting rainfall patterns in the Manga-Bawku area, northeastern Ghana: Possible implication of climate change

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Environmental Challenges 2021年 5卷

作者： Dankwa, Paul Cudjoe, Eugene Amuah, Ebenezer Ebo Yahans Kazapoe, Raymond Webrah Agyemang, Edna Pambour Department of Environmental Science C. K. Tedam University of Technology and Applied Sciences Navrongo Ghana Department of Environmental Science Kwame Nkrumah University of Science and Technology Kumasi Ghana Department of Geological Engineering University for Development Studies Tamale Ghana Department of Geography and Resource Development University of Ghana Accra Ghana

Understanding rainfall processes is crucial in addressing several hydrological challenges that have both positive and negative impacts on agriculture, climate change, and natural hazards including floods and droughts. Statistical modeling is a key instrument for studying these processes. This study presents the trends and forecasted rainfall patterns from 2017 to 2035 in the Manga-Bawku area, northeastern Ghana using rainfall data spanning from 1976 to 2016. The simple seasonal exponential smoothing and ARIMA (0,1,1) models were employed in this study while the R software and the Statistical Package for the Social Sciences were the modeling tools used in this study. The results obtained from the test of the efficiency of the forecast model showed a Stationary R-squared value of 0.698 and 0.669, Root-Mean-Square Deviation (RMSE) of 48.775 and 50.717, and normalized Bayesian Information Criteria (BIC) of 7.800 and 7.904 for the exponential smoothing and ARIMA (0,1,1) models respectively. This indicated that the models are a good fit for the time-series analysis. However, a line plot of the two models and observed data showed that the simple seasonal exponential smoothing model was a better fit. The Autocorrelation Function (ACF) plot showed that coefficient values were recorded in equal time lags. The peak recorded at lag 1 was similar to lags 12 and 24 which suggest that the seasonal component in the time series occurred within twelve months. The study further showed that the seasonal component was uniform on an annual basis which signifies that it was an additive impact instead of multiplicative effect. The rainfall forecast predicts a decline in rainfall levels over the next 19 years. This suggests the need for proper water resources planning, and the formulation of policies to curtail the factors that are likely to have debilitating impacts on the local hydrological system. © 2021 The Author(s)

关键词： ANOVA Dry sub-humid Forecasting Northeastern Ghana Rainfall patterns Time series

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A new sterol from the Formosan soft coral Lobophytum durum

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Journal of Molecular Structure 2024年第Part2期1296卷

作者： Hung, Chia-Ling Huang, Li-Chieh Shih, Kun-Yauh Lai, Kuei-Hung Peng, Bo-Rong Hwang, Tsong-Long Chien, Su-Ying Li, Chia-Ying Chung, Hsu-Ming Department of Applied Chemistry National Pingtung University Pingtung900391 Taiwan Graduate Institute of Pharmacognosy College of Pharmacy Taipei Medical University Taipei11031 Taiwan PhD Program in Clinical Drug Development of Herbal Medicine College of Pharmacy Taipei Medical University Taipei11031 Taiwan Traditional Herbal Medicine Research Center Taipei Medical University Hospital Taipei11031 Taiwan Graduate Institute of Natural Products College of Medicine Chang Gung University Taoyuan333323 Taiwan Research Center for Chinese Herbal Medicine Graduate Institute of Healthy Industry Technology College of Human Ecology Chang Gung University of Science and Technology Taoyuan333324 Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City243303 Taiwan Department of Anesthesiology Chang Gung Memorial Hospital Taoyuan333423 Taiwan Instrumentation Center National Taiwan University Taipei106319 Taiwan

Chromatographic investigation on the ethyl acetate extract of the soft coral Lobophytum durum collected from the waters of Guishan Island in northeast Taiwan resulted in the isolation of three sterols 1–3, including one new sterol, 3β-hydroxy-25-methylene-5-cholesten-7-one (1), and two previously reported sterols, 7-oxogorgosterol (2), and (24R)-ergostane-3β,5α,6β,25-tetraol 25-monoacetate (3). The structures of sterols 1–3 were determined by extensive spectroscopic data analysis and by comparison with literatures. Additionally, the 24R-configuration of sterol 3 was identified by a single-crystal X-ray diffraction analysis and 13C chemical shifts for first time. The anti-inflammatory activities of sterols 1–3 were evaluated by examining their inhibitory effects on the generation of superoxide anions and the release of elastase against activated human neutrophils. © 2023

关键词： Spectroscopic analysis

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Low-rank Latent Matrix-factor Prediction Modeling for Generalized High-dimensional Matrix-variate Regression

arXiv

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arXiv 2022年

作者： Zhang, Yuzhe Zhang, Xu Zhang, Hong Liu, Aiyi Liu, Catherine C. School of Management University of Science and Technology of China China School of Mathematical Sciences South China Normal University China National Institute of Child Health and Human Development National Institutes of Health 6710B Rockledge Drive BethesdaMD20817 United States Department of Applied Mathematics The Hong Kong Polytechnic University Hong Kong

Motivated by diagnosing the COVID-19 disease using 2D image biomarkers from computed tomography (CT) scans, we propose a novel latent matrix-factor regression model to predict responses that may come from an exponential distribution family, where covariates include high-dimensional matrix-variate biomarkers. A latent generalized matrix regression (LaGMaR) is formulated, where the latent predictor is a low-dimensional matrix factor score extracted from the low-rank signal of the matrix variate through a cutting-edge matrix factor model. Unlike the general spirit of penalizing vectorization plus the necessity of tuning parameters in the literature, instead, our prediction modeling in LaGMaR conducts dimension reduction that respects the geometry characteristic of intrinsic two-dimensional structure of the matrix covariate and thus avoids iteration. This greatly relieves the computation burden, and meanwhile maintains structural information so that the latent matrix factor feature can perfectly replace the intractable matrix-variate owing to high-dimensionality. The estimation procedure of LaGMaR is subtly derived by transforming the bilinear form matrix factor model onto a high-dimensional vector factor model, so that the method of principle components can be applied. We establish bilinear-form consistency of the estimated matrix coefficient of the latent predictor and consistency of prediction. The proposed approach can be implemented conveniently. Through simulation experiments, prediction capability of LaGMaR is shown to outperform existing penalized methods under diverse scenarios of generalized matrix regressions. Through the application to a real COVID-19 dataset, the proposed approach is shown to predict efficiently the COVID-19. Copyright © 2022, The Authors. All rights reserved.

关键词： COVID-19

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