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Pathogenesis of the Chikungunya virus and the host immunity response

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Life Research 2021年第2期4卷 1-10页

作者： Tasnia Ahmed Syed Abdullah Ibn Asaduzzaman Rehman Tanvir zobayda nahar Nishat Tasnim Chandrika Saha Rashed Noor Department of Microbiology Stamford University Bangladesh51 Siddeswari RoadDhaka 1217Bangladesh Department of Life Sciences(DLS) School of Environment and Life Sciences(SELS)Independent UniversityBangladesh(IUB)Plot 16Block BAftabuddin Ahmed RoadBashundhara R/ADhaka 1212Bangladesh

Along with the running COVID-19 pandemic by the severe acute respiratory syndrome coronavirus 2,the Chikungunya virus is already known as the causative agent of re-emerging Chikungunya fever in many countries after several years of latency;and it’s certainly one of the most important clinical issues possibly due to the lack of appropriate ***,continuous study and monitoring of this disease outbreak demand attention by the relevant health *** review has been written in the light of the recently available reports on the Chikungunya virus *** genomic structure and its impact on the viral epidemiology,the possible protective immunity,and the infection mitigation strategies have been ***’s already well known that the Chikungunya virus can start infection after getting entrance into the blood circulation through the mosquito bites followed by the dissemination into the major organs like liver,brain,eye,joints and lymph nodes in order to inaugurate the ***,the occurrence of death is very rare but the extreme fatality and morbidity may occur if the patient has other underlying disease *** molecular aspects of the virus,the site-specific damages caused by the viral infection,and finally,the public awareness of such viral infection as discussed in the current review would help to maintain the public health sustainability especially in the developing countries whereby the knowledge on the required hygiene is poor.

关键词： Chikungunya virus infection Re-emerging diseases Public health Host immunity

AMAD:Adaptive Mapping Approach for Datacenter Networks,an Energy-Friend Resource Allocation Framework via Repeated Leader Follower Game

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Computers, Materials & Continua 2024年第9期80卷 4577-4601页

作者： Ahmad nahar Quttoum Muteb Alshammari Department of Computer Engineering Faculty of EngineeringThe Hashemite UniversityZarqa13133Jordan Department of Information Technology Faculty of Computing and Information TechnologyNorthern Border UniversityArar91431Saudi Arabia

Cloud Datacenter Network(CDN)providers usually have the option to scale their network structures to allow for far more resource capacities,though such scaling options may come with exponential costs that contradict their utility ***,besides the cost of the physical assets and network resources,such scaling may also imposemore loads on the electricity power grids to feed the added nodes with the required energy to run and cool,which comes with extra costs ***,those CDNproviders who utilize their resources better can certainly afford their services at lower price-units when compared to others who simply choose the scaling *** utilization is a quite challenging process;indeed,clients of CDNs usually tend to exaggerate their true resource requirements when they lease their *** providers are committed to their clients with Service Level Agreements(SLAs).Therefore,any amendment to the resource allocations needs to be approved by the clients *** this work,we propose deploying a Stackelberg leadership framework to formulate a negotiation game between the cloud service providers and their client *** this,the providers seek to retrieve those leased unused resources from their *** is not expected from the clients,and they may ask high price units to return their extra resources to the provider’s ***,to motivate cooperation in such a non-cooperative game,as an extension to theVickery auctions,we developed an incentive-compatible pricingmodel for the returned ***,we also proposed building a behavior belief function that shapes the way of negotiation and compensation for each *** to other benchmark models,the assessment results showthat our proposed models provide for timely negotiation schemes,allowing for better resource utilization rates,higher utilities,and grid-friend CDNs.

关键词： Data center networks energy-aware resource management resource utilization game-theory mechanisms

Assessment of physicochemical properties of water and their seasonal variation in an urban river in Bangladesh

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Water Science and Engineering 2021年第2期14卷 139-148页

作者： Arafat Rahman Ishrat Jahanara Yeasmin nahar Jolly Department of Soil Water and EnvironmentUniversity of DhakaDhaka 1000Bangladesh Atmospheric and Environmental Chemistry Laboratory Chemistry DivisionAtomic Energy CentreDhaka 1000Bangladesh

To assess the magnitude of water quality decline in the Turag River of Bangladesh,this study examined the seasonal variation of physi-cochemical parameters of water,identified potential pollution sources,and clustered the monitoring months with similar *** samples were collected in four distinct seasons to evaluate temperature,pH,dissolved oxygen(DO)concentration,five-day biochemical oxygen demand(BOD 5),chemical oxygen demand(COD),electrical conductivity(EC),chloride ion(Cl^(-))concentration,total alkalinity(TA),turbidity,total dissolved solids(TDS)concentration,total suspended solids(TSS)concentration,and total hardness(TH)using standard *** analytical results revealed that 40%of water quality indices were within the permissible limits suggested by different agencies,with the exception of EC,Cl^(-)concentration,TA,turbidity,DO concentration,BOD 5,and COD in all *** analyses indicated that 52%of the contrasts were significantly different at a 95%confidence *** factor analysis presented the best fit among the parameters,with four factors explaining 94.29%of the total ***,BOD 5,COD,EC,turbidity,DO,and Cl?were mainly responsible for pollution loading and were caused by the significant amount of industrial discharge and toxicological *** cluster analysis showed the seasonal change in surface water quality,which is usually an indicator of pollution from rainfall or other ***,the values of different physico-chemical properties varied with seasons,and the highest values of pollutants were recorded in the *** the change in seasonal tem-perature and increase in rainfall,the seasonal Turag River water followed a self-refining trend as follows:rainy season>pre-winter>summer>winter.

关键词： Seasonal variation Physicochemical parameter Water quality Factor analysis Cluster analysis Turag River

Chemical characteristics of trace metals in PM10 and their concentrated weighted trajectory analysis at Central Delhi,India

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Journal of Environmental Sciences 2017年第5期29卷 184-196页

作者： Subhash Chandra Monika J.Kulshrestha Ruchi Singh nahar Singh CSIR-National Physical Laboratory New Delhi 110012 India. Academy of Scientific and Innovative Research (AcSIR) CSIR - National Physical Laboratory (CSIR-NPL) Campus New Delhi 110012 India Present address: Shriram Institute for Industrial Research Delhi 110007 India.

Trace metals associated with PM10 aerosols and their variation during day and nighttime as well as during different seasons have been studied for the year 2012. PCA analysis suggested5 PCs,which accounted for 86.8% cumulative variance. PC1 accounted for 30% with a significant loading of metals of anthropogenic origin,while PC2 showed 28% variance with the loading of metals of crustal origin. These trace metals showed seasonal distinct day and night time characteristics. The concentrations of Cu,Pb,and Cd were found to be higher during nighttime in all the seasons. Only Fe was observed with significantly higher mean concentrations during daytime of all seasons except monsoon. The highest mean values of Cu,Cd,Zn,and Pb during post-monsoon might be attributed to winds advection over the regions of waste/biomass burning and industrial activities in Punjab and Haryana ***,concentration weighted trajectory analysis suggested that metals of crustal origin were contributed by long-range transport while metals of anthropogenic and industrial activities were contributed by regional/local source regions.

关键词： Trace metals Potential source regions Backward trajectory Principal component analysis

A Group Recommendation System Based on Social Influence

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A Group Recommendation System Based on Social Influence

作者： nahar Saifun 电子科技大学

学位级别：硕士

在人们的日常社会生活中,参加集体活动是必不可少的一部分。在群组推荐系统中,向一群用户推荐愉快的活动是非常重要的。这项工作的主要挑战是如何学习每个用户的社会影响力,以及如何使他们的相互社会影响力适应不同的群体,从而动态地调... 详细信息

在人们的日常社会生活中,参加集体活动是必不可少的一部分。在群组推荐系统中,向一群用户推荐愉快的活动是非常重要的。这项工作的主要挑战是如何学习每个用户的社会影响力,以及如何使他们的相互社会影响力适应不同的群体,从而动态地调整群体的共同项目策略,以捕捉复杂的群体决策过程。然而,这些动态策略对真实而复杂的群体决策建模非常简单。此外,群成员在群中应该偶尔会有影响或负担,用户的负担在不同的群中可能会有所不同。因此,一个理想的群体推荐系统应该能够学习用户的相互偏好。为此提出了一种基于相互社会影响的群体活动推荐系统。特别是,理解个人影响的社会影响并使其共享的社会影响适应各种协会的价值机制,通过获取知识框架来开发独特而深刻的社会影响,并将用户的普遍意识和本地的社会影响和社区结构与事实相结合,以更好地提高对用户社会影响的估计。为了克服偶发群体提供的交集知识的困境和稀疏性,采用奇异值分解和神经网络嵌入的联合模型来降低数据集的稀疏性,并重构矩阵向量,从用户-项目交互和用户-用户交互两个方面进行推荐。从该模式中学习到的知识被用来向同一群组的用户推荐成组项目。采用名为豆瓣的知名事件数据集和一个名为CAMRa2011的公开可用的数据集,在其中提取了相关特征,并对其进行了相关实验。与其他工作相比,取得了最好的成果。在用户推荐系统中,超过了其他方法,HR和NDCG分别提高了8.91%和14.56%左右。此外,在群组推荐系统中,HR和NDCG分别提高了0.68%和9.93%左右。

关键词：群组推荐系统神经网络数字网络嵌入相互影响社会影响特征提取

Antioxidant Protection Mechanisms Reveal Significant Response in Drought-Induced Oxidative Stress in Some Traditional Rice of Assam, India

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Rice science 2018年第4期25卷 185-196页

作者： Shamsun nahar Lakshminarayana R.VEMIREDDY Lingaraj SAHOO Bhaben TANTI Department of Botany Gauhati University Regional Agricultural Researc Station Acharya N.G.Ranga Agricultural University Department of Biosciences and Bioengineering Indian Institute of Technology Guwahati

Drought tolerance levels and antioxidant protection mechanisms were evaluated for 21 traditional rice varieties of Assam, India, along with Sahbhagi Dhan （drought tolerant） and IR64 （drought sensitive） as controls. Drought was imposed in hydroponic culture with polyethylene glycol 6000 （PEG6000） that was initially standardized with different concentrations. All the rice varieties showed apparent decreases in growth characteristics under drought stress （initially at 15% for 7 d followed by 20% PEG6000 for 7 d in Yoshida medium）. On the basis of standard evaluation score （SES）, eight rice varieties showed high drought tolerance which were carried forward for further biochemical analyses. Based on different morpho- physiological parameters, SN03 （Bora）, SN04 （Prosad Bhog）, SN05 （Kola Joha）, SN06 （Helash Bora）, SN08 （Salihoi Bao）, SN12 （Kola Amona）, SN20 （Ronga Bora） and SN21 （Sok-Bonglong） were identified as promising drought tolerant varieties. The non-enzymatic antioxidants activities viz., glutathione, ascorbate and enzymatic antioxidant activities such as superoxide dismutase （SOD）, catalase （CAT）, guaiacol peroxidase （GPX）, ascorbate peroxidase （APX）, glutathione reductase （GR） in shoots and roots of all the selected varieties revealed significant level of protection mechanisms as compared with controls. Enhancement in activities of the overall antioxidant enzymes including SOD, GPX, CAT, GR and APX under drought stress reflects their role in the adaptation process under water stress.

关键词： drought stress traditional rice standard evaluation score antioxidants protection mechanism antioxidant enzyme

Cyberbullying Detection and Recognition with Type Determination Based on Machine Learning

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Computers, Materials & Continua 2023年第6期75卷 5307-5319页

作者： Khalid M.O.nahar Mohammad Alauthman Saud Yonbawi Ammar Almomani Computer Science Department Yarmouk UniversityIrbidJordan Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan Software Engineering Department University of JeddahJeddahKSA Research and Innovation Department Skyline University CollegeP.O.Box 1797SharjahUAE IT Department-Al-Huson University College Al-Balqa Applied UniversityP.O.Box 50IrbidJordan

Social media networks are becoming essential to our daily activities,and many issues are due to this great involvement in our *** is a social media network issue,a global crisis affecting the victims and society as a *** results from a misunderstanding regarding freedom of *** this work,we proposed a methodology for detecting such behaviors(bullying,harassment,and hate-related texts)using supervised machine learning algo-rithms(SVM,Naïve Bayes,Logistic regression,and random forest)and for predicting a topic associated with these text data using unsupervised natural language processing,such as latent Dirichlet *** addition,we used accuracy,precision,recall,and F1 score to assess prior *** show that the use of logistic regression,support vector machine,random forest model,and Naïve Bayes has 95%,94.97%,94.66%,and 93.1%accuracy,respectively.

关键词： Cyberbullying social media naïve bayes support vector machine natural language processing LDA

Plant-derived secondary metabolites as the main source of efflux pump inhibitors and methods for identification

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Journal of Pharmaceutical Analysis 2020年第4期10卷 277-290页

作者： Armel Jackson Seukep Victor Kuete Lutfun nahar Satyajit DSarker Mingquan Guo Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture Wuhan Botanical GardenChinese Academy of SciencesWuhanChina Sino-Africa Joint Research Center Chinese Academy of SciencesWuhanChina Unit of Research in Microbiology and Antimicrobial Substances/Laboratory of Cancer Research Faculty of ScienceDepartment of BiochemistryUniversity of DschangDschangCameroon Laboratory of Growth Regulators Institute of Experimental Botany ASCR&PalackýUniversitySlechtitelu 2778371OlomoucCzech Republic Centre for Natural Products Discovery School of Pharmacy and Biomolecular SciencesLiverpool John Moores UniversityLiverpoolL33AFUnited Kingdom

The upsurge of multiple drug resistance(MDR)bacteria substantially diminishes the effectiveness of antibiotic arsenal and therefore intensifies the rate of therapeutic *** major factor in MDR is efflux pump-mediated resistance.A unique pump can make bacteria withstand a wide range of structurally diverse ***,their inhibition is a promising route to eliminate resistance phenomenon in *** are excellent alternatives as resistance-modifying *** can directly kill bacteria or interact with the crucial events of pathogenicity,thereby decreasing the ability of bacteria to develop *** botanicals display noteworthy efflux pumps inhibitory *** plants are of growing ***,some plant families would be excellent sources of efflux pump inhibitors(EPIs)including Apocynaceae,Berberidaceae,Convolvulaceae,Cucurbitaceae,Fabaceae,Lamiaceae,and *** applicable methods for screening plant-derived EPIs include checkerboard synergy test,berberine uptake assay and ethidium bromide *** silico highthroughput virtual detection can be evaluated as a criterion of excluding compounds with efflux substrate-like characteristics,thereby improving the selection process and extending the identification of *** ascertain the efflux activity inhibition,real-time PCR and quantitative mass spectrometry can be *** review emphasizes on efflux pumps and their roles in transmitting bacterial resistance and an update plant-derived EPIs and strategies for identification.

关键词： Multidrug-resistant bacteria Efflux pump inhibitors Plant secondary metabolites Edible plants Efflux activity assays

A New Task Scheduling Scheme Based on Genetic Algorithm for Edge Computing

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Computers, Materials & Continua 2022年第4期71卷 843-854页

作者： Zhang Nan Li Wenjing Liu Zhu Li Zhi Liu Yumin Nurun nahar State Grid Information&Telecommunication Group Co. LtdBeijing102200China University of Chittagong(CU) ChittagongBangladesh

With the continuous evolution of smart grid and global energy interconnection technology,amount of intelligent terminals have been connected to power grid,which can be used for providing resource services as edge *** cloud computing can be used to provide storage services and task computing services in the power grid,but it faces challenges such as resource bottlenecks,time delays,and limited network bandwidth *** computing is an effective supplement for cloud computing,because it can provide users with local computing services with lower ***,because the resources in a single edge node are limited,resource-intensive tasks need to be divided into many subtasks and then assigned to different edge nodes by resource *** task scheduling more efficient is an important *** this paper,a two-layer resource management scheme is proposed based on the concept of edge *** addition,a new task scheduling algorithm named GA-EC(Genetic Algorithm for Edge Computing)is put forth,based on a genetic algorithm,that can dynamically schedule tasks according to different scheduling *** simulation shows that the proposed algorithm has a beneficial effect on energy consumption and load balancing,and reduces time delay.

关键词： Smart grid energy consumption task scheduling resource management