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How New Individuals Behave in a Heterogeneous Community: A Computational Approach to Norm Assimilation Using Agent-Based Systems

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Journal of Systems Science & Complexity 2020年第4期33卷 849-881页

作者： MAHMOUD Moamin AHMAD Mohd Sharifuddin MOSTAFa.salama SUBRAMAINAN Latha College of Computing and Informatics Universiti Tenaga NasionalKajangSelangorMalaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaParit RajaMalaysia

Heterogeneous community entails a number of social groups that adopt similar/different social *** such community,new individuals who join a new social group should be able to decide with which group they could assimilate based on their capabilities/values/***,they would be penalized by other members in the group for violating some norms which they cannot *** this approach,software agents would have better reasoning in simulating human *** this paper,the authors propose a norms assimilation theory,in which a new agent attempts to assimilate with a social group’s *** theory builds an approach to norm assimilation,analyzes the cases for an agent to decide to assimilate with a social group and develops a mathematical model to measure the assimilation cost and the agent’s *** approach is developed based on the agent’s internal belief about its ability and desire,and its external belief about the cost of assimilating with a number of social *** significance of this research is ***,the study paves the way to future design of intelligent systems,i.e.,software agents or robots,to closely mimic human social ***,the norm assimilation using agent-based system could be potentially utilized to simulate some social issues such as immigrants,new students,expatriate *** experiments that have been conducted demonstrate that an agent in the domain is able to calculate the assimilation cost and decide which social group to join.

关键词： Agent-based simulation heterogeneous community individuals norms norm assimilation normative systems social group

The Effect of Atmospheric Pressure Plasma Corona Discharge on pH, Lipid Content and DNA of Bacterial Cells

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Plasma Science and Technology 2011年第1期13卷 99-105页

作者： may KORACHI Necdet ASLAN Yeditepe University Genetics & Bio-Engineering Department Yeditepe University Physics Department

Effect of plasma corona discharges on the pH, whole cell lipids and DNA of bacteria is investigated. Results showed an increase in the acidity levels of water due to plasma reactive species which, however, were not responsible for bacterial cell death. No changes in the whole cell lipid contents were observed, while DNA after plasma treatment showed deterioration of the amplified sequences, indicating the possible occurrence of DNA degradation. In conclusion, reactive species produced by plasma discharges affects DNA, possibly contributing to cell death.

关键词： plasma sterilization pH lipids bacterial cell membrane DNA damage

Framework for COVID-19 Segmentation and Classification Based on Deep Learning of Computed Tomography Lung Images

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Journal of Electronic Science and Technology 2022年第3期20卷 246-256页

作者： Wessam M.salama Moustafa H.Aly the Department of Basic Science Faculty of EngineeringPharos UniversityAlexandria12455Egypt the Department of Electronics and Communications Engineering College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

Corona Virus Disease 2019(COVID-19) has affected millions of people worldwide and caused more than6.3 million deaths(World Health Organization, June 2022). Increased attempts have been made to develop deep learning methods to diagnose COVID-19 based on computed tomography(CT) lung images. It is a challenge to reproduce and obtain the CT lung data, because it is not publicly available. This paper introduces a new generalized framework to segment and classify CT images and determine whether a patient is tested positive or negative for COVID-19 based on lung CT images. In this work, many different strategies are explored for the classification ***50 and VGG16 models are applied to classify CT lung images into COVID-19 positive or negative. Also,VGG16 and ReNet50 combined with U-Net, which is one of the most used architectures in deep learning for image segmentation, are employed to segment CT lung images before the classifying process to increase system performance. Moreover, the image size dependent normalization technique(ISDNT) and Wiener filter are utilized as the preprocessing techniques to enhance images and noise suppression. Additionally, transfer learning and data augmentation techniques are performed to solve the problem of COVID-19 CT lung images deficiency, therefore the over-fitting of deep models can be avoided. The proposed frameworks, which comprised of end-to-end, VGG16,ResNet50, and U-Net with VGG16 or ResNet50, are applied on the dataset that is sourced from COVID-19 lung CT images in Kaggle. The classification results show that using the preprocessed CT lung images as the input for U-Net hybrid with ResNet50 achieves the best performance. The proposed classification model achieves the 98.98%accuracy(ACC), 98.87% area under the ROC curve(AUC), 98.89% sensitivity(Se), 97.99 % precision(Pr), 97.88%F-score, and 1.8974-seconds computational time.

关键词： Augmentation classification computed tomography(CT) Corona Virus Disease 2019(COVID-19) deep learning ResNet50 segmentation U-Net VGG16

Assessment of family physicians’knowledge of childhood autism

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Family Medicine and Community Health 2017年第4期5卷 266-274页

作者： Hend Mikhail salama Department of Family Medicine Faculty of MedicineSuez Canal UniversityIsmailiaEgypt

Objective:This study aimed to assess the knowledge of family physicians regarding child-hood ***:The study is a one-way cross-sectional descriptive study,conducted between Janu-ary and March *** study involved 70 family physicians who were working and/or studying for a master degree in the School of Medicine,Suez Canal *** researcher collected the sociodemographic characteristics,and then the participants completed the Knowledge about Child-hood Autism among Healthcare Workers(KCAHW)***:The total KCAHW score was 11.2±3.5(mean±standard deviation),the domain with the highest score was domain 1(5.6±1.8),and family physicians with previous experience had a higher mean score than physicians with no previous experience(12.9±2.7 and 10.7±3.5 respectively).In addition,there was a significant positive correlation between the mean KCAHW score and both the duration of practicing and earlier experience of ***:There is a lack of knowledge of autism among family physicians;they need more training on autism to increase their awareness to improve early detection and intervention so as to improve the quality of life and care of children with autism.

关键词： Autism knowledge family physicians

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采用微粒凝胶免疫试验快速检测IgA抗体

国外医学（输血及血液学分册） 2002年第1期25卷 81-82页

作者： a.salama 何路军河北省血液中心

非溶血性输血反应是输血的最常见并发症.其中有一部分是由于受血者或献血员血浆中的抗IgA抗体引起.虽然对抗IgA抗体的检查已报道过几个试验,但这类抗体的筛检仅在为数不多的实验室能够做到.

关键词：生粒凝胶免疫试验 IgA抗体输血医学非溶血性输血反应

Integration of PV system with SMES based on model predictive control for utility grid reliability improvement

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Protection and Control of Modern Power Systems 2021年第1期6卷 191-203页

作者： Abualkasim Bakeer Hossam S.salama Istvan Vokony Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt Electrical Power Engineering and Mechatronics Department School of EngineeringTallinn University of Technology19086TallinnEstonia Department of Electric Power Engineering Budapest University of Technology and EconomicsBudapest1111Hungary

This paper describes the integration of a photovoltaic (PV) renewable energy source with a superconducting magnetic energy storage (SMES) system. The integrated system can improve the voltage stability of the utility grid and achieve power leveling. The control schemes employ model predictive control (MPC), which has gained significant attention in recent years because of its advantages such as fast response and simple implementation. The PV system provides maximum power at various irradiation levels using the incremental conductance technique (INC). The interfaced grid side converter of the SMES can control the grid voltage by regulating its injected reactive power to the grid, while the charge and discharge operation of the SMES coil can be managed by the system operator to inject/absorb active power to/from the grid to achieve the power leveling strategy. Simulation results based on MATLAB/Simulink® software prove the fast response of the system control objectives in tracking the setpoints at different loading scenarios and PV irradiance levels, while the SMES injects/absorbs active and reactive power to/from the grid during various events to improve the voltage response and achieve power leveling strategy.

关键词： Model predictive control(MPC) Superconducting magnetic energy storage(SMES) Photovoltaic(PV)systems Voltage improvement Power leveling strategy

CAS Center for Excellence in Quantum Information and Quantum Physics:exploring frontiers of quantum physics and quantum technology

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National Science Review 2017年第1期4卷 144-152页

作者： may Wang The unit is not available

HISTORY In 2014,the Chinese Academy of Sciences(CAS)launched its‘Pioneer Initiative’program,aiming to make signii cant contributions to the country’s major needs in the nation’s development,take the lead in academ... 详细信息

关键词： CAS Center for Excellence in Quantum Information and Quantum Physics:exploring frontiers of quantum physics and quantum technolo

On the Connection Between the Spectral Difference Method and the Discontinuous Galerkin Method

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Communications in Computational Physics 2011年第4期9卷 1071-1080页

作者： Georg may Aachen Institute for Advanced Study in Computational Engineering Sciences RWTH Aachen UniversitySchinkelstr.252062 AachenGermany

In this short note we present a derivation of the Spectral Difference Scheme from a Discontinuous Galerkin(DG)discretization of a nonlinear conservation *** allows interpretation of the Spectral Difference Scheme as a particular discretization under the quadrature-free nodal DG ***,it enables identification of the key differences between the Spectral Difference Scheme and standard nodal DG schemes.

关键词： Spectral difference method discontinuous Galerkin method hyperbolic conservation laws quadrature-free schemes nodal schemes

Robust Fractional-Order Proportional-Integral Observer for Synchronization of Chaotic Fractional-Order Systems

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 268-277页

作者： Ibrahima N’Doye Khaled Nabil salama Taous-Meriem Laleg-Kirati IEEE Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE)King Abdullah University of Science and Technology (KAUST)

In this paper, we propose a robust fractional-order proportional-integral(FOPI) observer for the synchronization of nonlinear fractional-order chaotic systems. The convergence of the observer is proved, and sufficient conditions are derived in terms of linear matrix inequalities(LMIs) approach by using an indirect Lyapunov method. The proposed FOPI observer is robust against Lipschitz additive nonlinear uncertainty. It is also compared to the fractional-order proportional(FOP) observer and its performance is illustrated through simulations done on the fractional-order chaotic Lorenz system.

关键词： Chaos synchronization fractional-order chaotic systems indirect Lyapunov approach linear matrix inequality(LMI) robust proportional-integral observer design