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Target-specificity of different amyrin subunits in impeding HCV influx mechanism inside the human cells considering the quantum tunnel profiles and molecular strings of the CD81 receptor: a combined in silico and in vivo study

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In silico pharmacology 2023年第1期11卷 8页

作者： Anika Jabin Mohammad Fahim Uddin Salauddin Al Azad Ashfaque Rahman Fawzia Tabassum Pritthy Sarker A K M Helal Morshed Samiur Rahman Fatima Fairuz Raisa Musfiqur Rahman Sakib Abeer Hasan Olive Tabassum Islam Ramisha Tahsin Shahlaa Zernaz Ahmed Partha Biswas Mst Umme Habiba Mahbuba Siddiquy Maryam Jafary Department of Biochemistry and Microbiology North South University Dhaka 1229 Bangladesh. College of Material Science and Engineering Zhejiang Sci-Tech University Hangzhou 310018 Zhejiang People's Republic of China. Key Laboratory of Industrial Biotechnology Ministry of Education School of Biotechnology Jiangnan University Wuxi 214122 Jiangsu Province People's Republic of China. Department of Genetic Engineering and Biotechnology Shahjalal University of Science and Technology Sylhet 3114 Bangladesh. Pathology and Pathophysiology Major Academy of Medical Science Zhengzhou University Zhengzhou City 450001 Henan Province People's Republic of China. Department of Electrical and Electronic Engineering Brac University Dhaka 1212 Bangladesh. Department of Pharmacy Bangabandhu Sheikh Mujibur Rahman Science and Technology University Gopalganj 8100 Bangladesh. Department of Pharmacy East West University Dhaka 1212 Bangladesh. Department of Computer Science and Engineering East West University Dhaka 1212 Bangladesh. Department of Pharmaceutical Sciences North South University Dhaka 1229 Bangladesh. Department of Genetic Engineering and Biotechnology Jashore University of Science and Technology Jashore 7408 Bangladesh. Data Science Research Unit RPG Interface Lab Jashore 7400 Bangladesh. State Key Laboratory of Food Science and Technology Jiangnan University Wuxi 214122 Jiangsu Province People's Republic of China. Division of Food Safety and Hygiene Department of Environmental Health Engineering School of Public Health Tehran University of Medical Sciences Tehran *** Iran.

HCV is a hepatotropic RNA virus recognized for its frequent virulence and fatality worldwide. Despite many vaccine development programs underway, researchers are on a quest for natural bioactive compounds due to their multivalent efficiencies against viral infections, considering which the current research aimed to figure out the target-specificity and therapeutic potentiality of α, β, and δ subunits of amyrin, as novel bioactive components against the HCV influx mechanism. Initially, the novelty of amyrin subunits was conducted from 203 pharmacophores, comparing their in-silico pharmacokinetic and pharmacodynamic profiles. Besides, the best active site of CD81 was determined following the quantum tunneling algorithm. The molecular dynamic simulation was conducted (100 ns) following the molecular docking steps to reveal the parameters- RMSD (Å); Cα; RMSF (Å); MolSA (Å); Rg (nm); PSA (Å); SASA (Å), and the MM-GBSA dG binding scores. Besides, molecular strings of CD81, along with the co-expressed genes, were classified, as responsible for encoding CD81-mediated protein clusters during HCV infection, resulting in the potentiality of amyrins as targeted prophylactics in HCV infection. Finally, in vivo profiling of the oxidative stress marker, liver-specific enzymes, and antioxidant markers was conducted in the DMN-induced mice model, where -amyrin scored the most significant values in all aspects.

关键词： CD81 receptor Co-expressed genes behind HCV invasion DMN-induced hepatic fibrosis HCV infection In-silico pharmacokinetics and pharmacodynamics Target-specificity of amyrins

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Implementation of Data Mining to Classify the Consumer's Complaints of Electricity Usage Based on Consumer's Locations Using Clustering Method 1

Implementation of Data Mining to Classify the Consumer's Com...

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1st Workshop on Environmental Science, Society, and Technology, WESTECH 2018

作者： Pardede, A.M.H. Sembiring, Yusdiana Br Iskandar, Akbar Pitasari, Dyah Retno Sriadhi, S. Rianita, Dian Arifin, Muhammad Ririhena, Mersy Yoslin Siregar, Nurintan Asyiah Supriyono Sari, Ayu Esteka Tondo, Simson Zarlis, Muhammad Winarno, Edy Tulus STMIK Kaputama Sumatera Utara Binjai Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Department of Law Universitas Halmahera Tobelo Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Department of Public Administrations Universitas Lancang Kuning Indonesia Department of Information System Faculty of Engineering Universitas Muria Kudus Indonesia Department of Accounting Universitas Halmahera Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Department of Information System Universitas Muria Kudus Kudus Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Department of Public Administration Universitas Halmahera Tobelo Indonesia Department of Computer Science Universitas Sumatera Utara Medan Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia

Data collected by PLN staff on customer's complaints in the usage of electricity are very huge and accumulate. Previously, there was no information about these kinds of complaints in all sub-districts included inside the company, PT. PLN Binjai. On the other hand, each year company experienced problems to classify all complaints in order to obtain customers with information to later be used as a basis for making policy/decision. Data mining used clustering method and K-Means algorithm to classify the data so that important information is obtained from customer's complaints on the electricity usage, using variable: types of complaints, power using by consumer and consumer's region. Data was analyzed using Matlab to produce cluster centers and obtained a relationship between variables obtained with groups with high number of complaints. Results revealed that from 500 customers who have complained, cluster 1 had 218 complaints namely NT Fuse Putus with power used was 1300 watt and was located in Binjai. © Published under licence by IOP Publishing Ltd.

关键词： Data mining

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Transcutaneous Cervical Vagal Nerve Stimulation in Patients with Posttraumatic Stress Disorder (PTSD): A Pilot Study of Effects on PTSD Symptoms and Interleukin-6 Response to Stress

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Journal of Affective Disorders Reports 2021年 6卷 100190-100190页

作者： Bremner, J. Douglas Wittbrodt, Matthew T. Gurel, Nil Z. Shandhi, MdMobashir H. Gazi, Asim H. Jiao, Yunshen Levantsevych, Oleksiy M. Huang, Minxuan Beckwith, Joy Herring, Isaias Murrah, Nancy Driggers, Emily G. Ko, Yi-An Alkhalaf, MhmtJamil L. Soudan, Majd Shallenberger, Lucy Hankus, Allison N. Nye, Jonathon A. Park, Jeanie Woodbury, Anna Mehta, Puja K. Rapaport, Mark H. Vaccarino, Viola Shah, Amit J. Pearce, Bradley D. Inan, Omer T. Department of Psychiatry & Behavioral Sciences Emory University School of Medicine Atlanta Georgia Department of Radiology and Imaging Sciences Emory University School of Medicine Atlanta Georgia Atlanta VA Medical Center Decatur Georgia School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia Department of Epidemiology Rollins School of Public Health Emory University Atlanta Georgia Department of Biostatistics and Bioinformatics Rollins School of Public Health Emory University Atlanta Georgia Department of Medicine Renal Division Emory University School of Medicine Atlanta Georgia Department of Anesthesiology Emory University School of Medicine Atlanta Georgia Department of Medicine Division of Cardiology Emory University School of Medicine Atlanta Georgia Huntsman Mental Health Institute Department of Psychiatry University of Utah School of Medicine Salt Lake City Utah United States Coulter Department of Bioengineering Georgia Institute of Technology Atlanta Georgia

Background: Posttraumatic stress disorder (PTSD) is a highly disabling condition associated with alterations in multiple neurobiological systems, including increases in inflammatory and sympathetic function, responsible for maintenance of symptoms. Treatment options including medications and psychotherapies have limitations. We previously showed that transcutaneous Vagus Nerve Stimulation (tcVNS) blocks inflammatory (interleukin (IL)-6) responses to stress in PTSD. The purpose of this study was to assess the effects of tcVNS on PTSD symptoms and inflammatory responses to stress. Methods: Twenty patients with PTSD were randomized to double blind active tcVNS (N=9) or sham (N=11) stimulation in conjunction with exposure to personalized traumatic scripts immediately followed by active or sham tcVNS and measurement of IL-6 and other biomarkers of inflammation. Patients then self administered active or sham tcVNS twice daily for three months. PTSD symptoms were measured with the PTSD Checklist (PCL) and the Clinician Administered PTSD Scale (CAPS), clinical improvement with the Clinical Global Index (CGI) and anxiety with the Hamilton Anxiety Scale (Ham-A) at baseline and one-month intervals followed by a repeat of measurement of biomarkers with traumatic scripts. After three months patients self treated with twice daily open label active tcVNS for another three months followed by assessment with the CGI. Results: Traumatic scripts increased IL-6 in PTSD patients, an effect that was blocked by tcVNS (p<.05). Active tcVNS treatment for three months resulted in a 31% greater reduction in PTSD symptoms compared to sham treatment as measured by the PCL (p=0.013) as well as hyperarousal symptoms and somatic anxiety measured with the Ham-A p<0.05). IL-6 increased from baseline in sham but not tcVNS. Open label tcVNS resulted in improvements measured with the CGI compared to the sham treatment period p<0.05). Conclusions: These preliminary results suggest that tcVNS reduces inf

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Design choices and equity implications of community shared solar

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Electricity Journal 2017年第9期30卷 37-41页

作者： Chan, Gabriel Evans, Isaac Grimley, Matthew Ihde, Ben Mazumder, Poulomi Humphrey School of Public Affairs University of Minnesota United States Department of Electrical and Computer Engineering University of Minnesota United States

What is the best way to deploy solar energy to maximize clean energy growth while equitably sharing benefits? A promising model is community shared solar, which enables energy consumers to purchase shares of electricity generated in an offsite project. Noting how different states and utilities have approached program design, we explore how design decisions affect access to solar and the equity of cost and benefit sharing. We conclude with a set of questions for future research. © 2017 Elsevier Inc.

关键词： Solar energy

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Deep Brain Neural Network Model Application Using Rabi Antenna Probes as Quantum Consciousness Sensors

SSRN

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SSRN 2022年

作者： Bunruangses, Montree Youplao, Phichai Garhwal, Anita Ray, Kanad Roy, Arup Pham, Nhat Truong Prabpal, Prakasit Yupapin, Preecha Jalil, Muhammad Arif Ali, Jalil Kaiser, Shamim Mahmud, Mufti Mallik, Saurav Zhao, Zhongming Department of Computer Engineering Faculty of Industrial Education Rajamangala University of Technology Phra Nakhon Bangkok10300 Thailand Faculty of Industrial Technology Rajamangala University of Technology Isan Sakon Nakhorn Campus Sakon Nakhon547000 Thailand Asia Metropolitan University 6 Jalan Lembah Bandar Baru Seri Alam 81750 Johor Masai Malaysia Amity University Jaipur Rajasthan India Facultad de CienciasFisico-Matematicas Benemérita Universidad Autónoma de Puebla San Manuel Ciudad Universitaria Av. San Claudio y Av. 18 sur Col. Puebla Pue 72570 Mexico Faubert Lab Université de Montréal MontréalH3T 1P1 Canada Division of Computational Mechatronics Institute for Computational Science Ton Duc Thang University Ho Chi Minh City72915 Viet Nam Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh City72915 Viet Nam Department of Electrical Technology School of Industrial Technology Institute of Vocational Education Northeastern 2 Sakhon Nakhon47000 Thailand Department of Physics Faculty of Science Unversiti Teknologi Malaysia Johor Skudai81310 Malaysia Institute of Information Technology Jahangirnagar University Dhaka Savar1342 Bangladesh Nottingham Trent University Clifton Lane NottinghamNG11 8NS United Kingdom Center for Precision Health School of Biomedical Informatics The University of Texas Health Science Center at Houston HoustonTX77030 United States Human Genetics Center School of Public Health The University of Texas Health Science Center at Houston HoustonTX77030 United States

The plasmonic antenna probe is designed using a silver bar embedded in a modified add-drop filter within a Mach Zehnder interferometer (MZI). The Rabi antenna is formed when the space-time control has reached the two-level system oscillation, which can be applied as a quantum brain-sensingprobe. A photonic neural network is designed using brain-Rabi antenna communication, wherein the transmission is connected by the neurons. The communication signals are transferred by the electron spins (up-down) and tunable Rabi frequency. The hidden variables and deep brain signals can be obtained by the external detection. We have developed a Rabi antenna via simulation using computer Simulation Technology (CST) software. We have developed a communication device using the Optiwave program (OptiFDTD). The output signal is plotted by the Matlab program using parameters from the results of the OptiFDTD simulation. The proposed antenna resonates in the frequency range of 192THz-202THz with a maximum gain of 22.4dBi. The sensor sensitivity is calculated along withelectron spin results and applied to form the quantum-brain interconnection. Moreover, an intelligent machine learning algorithm is proposed for the identification of high-quality transmission and predicting the behavior of the transmission in near future. The sensor sensitivity is calculated along withelectron spin results and applied to form the quantum-brain interconnection. Finally, human quantum consciousness, dreams and human thoughts can be retrieved and discovered. © 2022, The Authors. All rights reserved.

关键词： Antennas

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Optimization of the off-grid systems based on renewable energy for power supply in rural areas

Optimization of the off-grid systems based on renewable ener...

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International Conference on European Electricity Market, EEM

作者： Rebeka Raff Velimir Golub Danijel Topić Goran Knežević Jurica Perok Public Institute County Development Agency Osijek Croatia Vodovod-Osijek d.o.o. Osijek Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Josip Juraj Strossmayer University of Osijek Osijek Croatia Regional Energy Agency North Osijek Croatia

In rural areas where access to a power grid often is not available off-grid systems are only solution for a power supply of the consumers. For the micro scale loads (such as cottages) diesel or gasoline generators are usually used. To avoid usage of fossil fuels and to avoid greenhouse gases emission renewable energy sources are very suitable for off-grid systems. In this paper optimization of the renewable energy sources based off-grid system for usage in rural areas is presented. Optimization is performed for different scenarios of capacity shortage value. Goal of the optimization is to find a system with minimum net present cost (NPC). Influence of the different operation and maintenance cost scenarios on the NPC is considered. Two cases in the paper are considered. In the first case optimization of the off-grid system is performed for the micro scale consumers such as houses, cottages etc. In the second case optimization of the off-grid system is performed for the small-scale consumers in rural areas such as small villages which can help in set up of small energy communities. Optimizations are performed using HOMER software.

关键词： Optimization Integrated circuits Wind speed Generators Software Wind power generation Renewable energy sources

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Eavesdropping whilst you're shopping: Balancing personalisation and privacy in connected retail spaces

arXiv

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arXiv 2018年

作者： Mavroudis, Vasilios Veale, Michael Dept. of Computer Science University College London Dept. of Science Technology Engineering and Public Policy University College London

Physical retailers, who once led the way in tracking with loyalty cards and 'reverse appends', now lag behind online competitors. Yet we might be seeing these tables turn, as many increasingly deploy technologies ranging from simple sensors to advanced emotion detection systems, even enabling them to tailor prices and shopping experiences on a per-customer basis. Here, we examine these in-store tracking technologies in the retail context, and evaluate them from both technical and regulatory standpoints. We first introduce the relevant technologies in context, before considering privacy impacts, the current remedies individuals might seek through technology and the law, and those remedies' limitations. To illustrate challenging tensions in this space we consider the feasibility of technical and legal approaches to both a) the recent 'Go' store concept from Amazon which requires fine-grained, multi-modal tracking to function as a shop;and b) current challenges in opting in or out of increasingly pervasive passive Wi-Fi tracking. The 'Go' store presents significant challenges with its legality in Europe significantly unclear and unilateral, technical measures to avoid biometric tracking likely ineffective. In the case of MAC addresses, we see a difficult-to-reconcile clash between privacy-as-confidentiality and privacy-as-control, and suggest a technical framework which might help balance the two. Significant challenges exist when seeking to balance personalisation with privacy, and researchers must work together, including across the boundaries of preferred privacy definitions, to come up with solutions that draw on both technology and the legal frameworks to provide effective and proportionate protection. Retailers, simultaneously, must ensure that their tracking is not just legal, but worthy of the trust of concerned data subjects. Copyright © 2018, The Authors. All rights reserved.

关键词： Sales

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1929P Dabrafenib and trametinib (D+T) in BRAFV600E differentiated thyroid cancer: A real-world experience in Italy

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Annals of Oncology 2024年 35卷 S1121-S1122页

作者： L.D. Locati E. Colombo L. Fugazzola P. Bossi F. Magri S. Zovato D. Salvatore A. Malovini R. Elisei C. Durante Department of Internal Medicine and Therapeutics University of Pavia Pavia Italy Medical Oncology Dept. Fondazione IRCCS - Istituto Nazionale dei Tumori Milan Italy Endocrinological Department Istituto Auxologico Italiano IRCCS Milan Italy Department of Biomedical Sciences IRCCS Humanitas Research Hospital Milan Italy Hereditary Tumors Unit Azienda Universitaria Ospedaliera di Padova Padua Italy Department of Public Health Università degli Studi di Napoli Federico II - Dipartimento di Sanità Pubblica Naples Italy Department of Electrical Computer and Biomedical Engineering IRCCS Pavia - Fondazione Salvatore Maugeri Pavia Italy Department of Clinical and Experimental Medicine Università degli Studi di Pisa Pisa Italy Department of Translational and Precision Medicine Sapienza Università di Roma Rome Italy

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Vaccinations or Non-Pharmaceutical Interventions: Safe Reopening of Schools in England

Research Square

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Research Square 2021年

作者： Cuesta-Lazaro, Carolina Quera-Bofarull, Arnau Aylett-Bullock, Joseph Lawrence, Bryan N. Fong, Kevin Icaza-Lizaola, Miguel Sedgewick, Aidan Truong, Henry Vernon, Ian Williams, Julian Pagel, Christina Krauss, Frank Institute for Data Science Durham University Durham United Kingdom Institute for Computational Cosmology Durham University Durham United Kingdom Institute for Particle Physics Phenomenology Durham University Durham United Kingdom National Centre for Atmospheric Science University of Reading Reading United Kingdom Departments of Meteorology and Computer Science University of Reading Reading United Kingdom Department of Science Technology Engineering and Public Policy University College London London United Kingdom Department of Anaesthesia University College London Hospital London United Kingdom Centre for Extragalactic Astronomy Durham University Durham United Kingdom Department of Mathematical Sciences Durham University DurhamDH1 3LE United Kingdom Institute for Hazard Risk & Resilience Durham University DurhamDH1 3LE United Kingdom Clinical Operational Research Unit University College London United Kingdom

With high levels of the Delta variant of COVID-19 circulating in England during September 2021, schools are set to reopen with few school-based non-pharmaceutical interventions (NPIs). In this paper, we present simulation results obtained from the individual-based model, JUNE, for English school opening after a prior vaccination campaign using an optimistic set of assumptions about vaccine efficacy and the likelihood of prior-reinfection. We take a scenario-based approach to modelling potential interventions to assess relative changes rather than real-world forecasts. Specifically, we assess the effects of vaccinating those aged 16-17, those aged 12-17, and not vaccinating children at all relative to only vaccinating the adult population, addressing what might have happened had the UK began teenage vaccinations earlier. Vaccinating children in the 12-15 age group would have had a significant impact on the course of the epidemic, saving thousands of lives overall in these simulations. In the absence of such a vaccination campaign our simulations show there could still be a significant positive impact on the epidemic (fewer cases, fewer deaths) by continuing NPI strategies in schools. Our analysis suggests that the best results in terms of lives saved are likely derived from a combination of the now planned vaccination campaign and NPIs in schools. © 2021, CC BY.

关键词： COVID-19

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Occupational medicine (Oxford, England) 2021年第8期71卷 387-388页

作者： Neil Greenberg Dale Weston Charlotte Hall Tristan Caulfield Victoria Williamson Kevin Fong King's Centre for Military Health Research Institute of Psychology Psychiatry and Neuroscience King's College London 10 Cutcombe Road London SE5 9RJ UK. Health Protection Research Unit Institute of Psychology Psychiatry and Neuroscience King's College London 10 Cutcombe Road London SE5 9RJ UK. Behavioural Science Team Emergency Response Department Science & Technology Public Health England Porton Down Salisbury SP4 0JG UK. Department of Computer Science University College London London WC1E 6BT UK. Department of Experimental Psychology Anna Watts Building University of Oxford Oxford OX2 6GG UK. Department of Science Technology Engineering and Public Policy (STEaPP) University College London London WC1E 6BT UK. Department of Anaesthesia University College London Hospital 235 Euston Road London WC1E 6BT UK.

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