检索结果-南通市图书馆

Alcohol use in patients with non-alcoholic fatty liver: a tangled web of causality

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Hepatobiliary Surgery and Nutrition 2019年第3期8卷 277-279页

作者： Danielle Brandman norah A.Terrault University of California San Francisco San FranciscoCAUSA

Wine consumption was first associated with a reduced risk of cardiovascular disease in 1979(1);subsequent studies,including several meta-analyses,showing a J-shaped association with modest alcohol consumption(especially for wine and beer)associated with a lower rate of cardiovascular complications and all-cause mortality,compared with abstention and heavy alcohol use(2).However,controversy persists regarding whether"modest"levels of alcohol consumption(typically defined as≤2 drinks per day for women and≤4 drinks per day for men)can achieve health benefits without causing harms(3,4).Differences in patterns of alcohol use and differential levels of confounding across study populations are cited for reasons why benefit versus harm in a given population may vary(4).One such confounder may be the presence of non-alcoholic fatty liver(NAFL),a more prevalent condition among alcohol users now than decades ago.

关键词： alcohol Alcohol founding

An Intelligent Cluster Verification Model Using WSN to Avoid Close Proximity and Control Outbreak of Pandemic in a Massive Crowd

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2022年第11期133卷 327-350页

作者： Naeem Ahmed Nawaz norah Saleh Alghamdi Hanen Karamti Mohammad Ayoub Khan Department of Computer Science Umm Al-Qura UniversityMakkah Al-Mukarmah24381Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia

Assemblage at public places for religious or sports events has become an integral part of our *** gatherings pose a challenge at places where fast crowd verification with social distancing(SD)is required,especially during a ***,verification of crowds is carried out in the form of a queue that increases waiting time resulting in congestion,stampede,and the spread of *** article proposes a cluster verification model(CVM)using a wireless sensor network(WSN),single cluster approach(SCA),and split cluster approach(SpCA)to solve the aforementioned problem for pandemic *** show that SD,cluster approaches,and verification by WSN can overcome the management issues by optimizing the cluster size and verification ***,our proposed method minimizes the chances of spreading diseases and stampedes in large events such as a *** consider the assembly points in the annual pilgrimage to Makkah Al-Mukarmah and Umrah for verification using Contiki/Cooja *** compute results such as verified cluster members(CMs)to define cluster size,success rate to determine the best success rate,and verification time to determine the optimal verification time for various *** validate ourmodel by comparing the results of each approach with the existing *** results showthat the SpCAwith SD is the best approach with a 96% success rate and optimization of verification time as compared to SCA with SD and the existing model.

关键词： Cluster verification model wireless sensor network social distancing crowd single approach split approach

Genetic Algorithm Combined with the K-Means Algorithm:A Hybrid Technique for Unsupervised Feature Selection

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第9期37卷 2687-2706页

作者： Hachemi Bennaceur Meznah Almutairy norah Alhussain Computer Science Department Imam Mohammad bin Saud Islamic UniversityRiyadh13318Saudi Arabia

The dimensionality of data is increasing very rapidly,which creates challenges for most of the current mining and learning algorithms,such as large memory requirements and high computational *** literature includes much research on feature selection for supervised ***,feature selection for unsupervised learning has only recently been *** the subset of features in unsupervised learning that enhances the performance is challenging since the clusters are *** work proposes a hybrid technique for unsupervised feature selection called GAk-MEANS,which combines the genetic algorithm(GA)approach with the classical k-Means *** the proposed algorithm,a new fitness func-tion is designed in addition to new smart crossover and mutation *** effectiveness of this algorithm is demonstrated on various ***-thermore,the performance of GAk-MEANS has been compared with other genetic algorithms,such as the genetic algorithm using the Sammon Error Function and the genetic algorithm using the Sum of Squared Error ***,the performance of GAk-MEANS is compared with the state-of-the-art statistical unsupervised feature selection *** results show that GAk-MEANS consistently selects subsets of features that result in better classification accuracy compared to *** particular,GAk-MEANS is able to significantly reduce the size of the subset of selected features by an average of 86.35%(72%–96.14%),which leads to an increase of the accuracy by an average of 3.78%(1.05%–6.32%)compared to using all *** compared with the genetic algorithm using the Sammon Error Function,GAk-MEANS is able to reduce the size of the subset of selected features by 41.29%on average,improve the accuracy by 5.37%,and reduce the time by 70.71%.When compared with the genetic algorithm using the Sum of Squared Error Function,GAk-MEANS on average is able to reduce the size of the subset of selected feature

关键词： Genetic algorithm unsupervised feature selection k-Means clustering

A Netnographic-Based Semantic Analysis of Tweet Contents for Stress Management

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第1期70卷 1845-1856页

作者： Jari Jussila Eman Alkhammash norah Saleh Alghamdi Prashanth Madhala Mohammad Ayoub Khan HAMK Smart Research Unit Häme University of Applied SciencesHämeenlinna13100Finland Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia College of Computer and Information Sciences Princess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Faculty of Management and Business Tampere UniversityTampere33720Finland College of Computing and Information Technologies University of BishaBisha67714Saudi Arabia

Social media platforms provide new value for markets and research *** article explores the use of social media data to enhance customer value *** case study involves a company that develops wearable Internet of Things(IoT)devices and services for stress *** and semantic annotation for recognizing and categorizing the context of tweets are conducted to gain a better understanding of users’stress management *** aim is to analyze the tweets about stress management practices and to identify the context from the ***,we map the tweets on pleasure and arousal to elicit customer *** analyzed a case study of a marketing strategy on the Twitter *** in the marketing campaign shared photos and texts about their stress management *** learning techniques were used to evaluate and estimate the emotions and contexts of the tweets posted by the campaign *** computational semantic analysis of the tweets was compared to the text analysis of the *** content analysis of only tweet images resulted in 96%accuracy in detecting tweet context,while that of the textual content of tweets yielded an accuracy of 91%.Semantic tagging by Ontotext was able to detect correct tweet context with an accuracy of 50%.

关键词： Social media stress semantic analysis Twitter context recognition

In Silico Analysis on Structure and DNA Binding Mode of Arabidopsis Thaliana AtNF-YB8

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

In Silico Analysis on Structure and DNA Binding Mode of Arab...

作者： JUBAILI norah AHMED H 西南交通大学

学位级别：硕士

Nuclear factor Y（NF-Y）is a heterotrimeric,DNA-binding transcription factor（TF）that is conserved in all eukaryotes,which consists of three subunits,NF-YA,NF-YB,and NF-YC,and binds to the CCAAT box in the promoter regions of its target genes to regulate their *** NF-YB8,a transcription factor from Arabidopsis thaliana,plays an important role in many biological processes in *** order to understand the structure and DNA binding model of At NF-YB8,the 3D structure model of At NF-YB8 was constructed and docked with the eleven target ***,the decomposition of the binding energy on a per-residue basis in the At NF-YB8/DNA07 complex by MD simulations showed that the residues Lys-34,Lys-96,Lys-101 and Lys-110 were probably for specific recognition of DNA.

关键词： ATNF-YB8结构结合模式计算机分析植物模型

Globodera pallida,a non-transgenic invertebrate as a new model for investigating Alzheimer’s disease(and other proteinopathies)?

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2023年第1期18卷 113-114页

作者： norah A.Althobaiti Farid Menaa Johnathan J.Dalzell Brian D.Green Biology Department College of Science and Humanities-Al QuwaiiyahShaqra UniversityAl QuwaiiyahSaudi Arabia Departments of Internal Medicine and Nanomedicine Fluorotronics-California Innovations CorporationSan DiegoCAUSA Department of grassland and Plant Science AgriFood and Biosciences InstituteNorthern IrelandUK Institute for Global Food Security School of Biological SciencesQueen’s University BelfastBelfastUK

Biological models of Alzheimer’s disease(AD):Non-human models have contributed tremendously to the understanding of AD and its underlying pathological *** models have aided the investigation of the genetic and environmental risk *** also have enabled the progression of candidate therapies into human clinical *** of similarities with human brain anatomy and genetics,rodent models have been used extensively to recapitulate some aspects of AD pathology,measure AD-associated behavioral parameters and related nervous system dysfunctions(Eriksen and Janus,2007).For instance,transgenic mice overexpressing human amyloid precursor protein have furthered the development of the amyloid cascade hypothesis as a central pillar of familial AD.

关键词： anatomy Alzheimer amyloid

Intelligent Fuzzy Based High Gain Non-Isolated Converter for DC Micro-Grids

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第5期71卷 4069-4084页

作者： M.Bharathidasan V.Indragandhi Ramya Kuppusamy Yuvaraja Teekaraman Shabana Urooj norah Alwadi School of Electrical Engineering Vellore Institute of TechnologyVelloreIndia Department of Electrical and Electronics Engineering Sri Sairam College of EngineeringBangaloreIndia Mobility Logisticsand Automotive Technology Research CentreFaculty of EngineeringETECDepartment of Electrical Engineering and Energy TechnologyVrije Universiteit BrusselBrussel1050Belgium Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh 84428Saudi Arabia Department of Physics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Renewable electricity options, such as fuel cells, solar photovoltaic,and batteries, are being integrated, which has made DC micro-grids *** DC micro-grid systems, a multi input interleaved non-isolated dc-dcconverter is suggested by the use of coupled inductor techniques. Since itcompensates for mismatches in photovoltaic devices and allows for separateand continuous power flow from these sources. The proposed converter hasthe benefits of high gain, a low ripple in the output voltage, minimal stressvoltage across the power semiconductor devices, a low ripple in inductorcurrent, high power density, and high efficiency. Soft-switching techniquesare used to realize that the reverse recovery issue of the diodes is moderated, the leakage energy is reused, and no new scheme is appropriated. Toreduce conduction losses, minimum voltage rating MOSFETs with a low ONresistance can be utilized. The converter can supply the required power fromthe load in the absence of one or two resources. Furthermore, due to the highgain of boosting voltage, the converter works in an Adaptive Neuro-FuzzyInference System (ANFIS). The operation principle, steady-state analysis ofthe proposed converter, is given and simulated utilizing MATLAB/Simulinksimulation software.

关键词： Renewable energy sources DC micro-grid multi-input converter soft-switching techniques high gain

Toward Robust Classifiers for PDF Malware Detection

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第11期69卷 2181-2202页

作者： Marwan Albahar Mohammed Thanoon Monaj Alzilai Alaa Alrehily Munirah Alfaar Maimoona Algamdi norah Alassaf College of Computers in Al-Leith Umm Al Qura UniversityMakkahSaudi Arabia

Malicious Portable Document Format(PDF)files represent one of the largest threats in the computer security *** research has been done using handwritten signatures and machine learning based on detection via manual feature *** approaches are time consuming,require substantial prior knowledge,and the list of features must be updated with each newly discovered vulnerability *** this study,we propose two models for PDF malware *** first model is a convolutional neural network(CNN)integrated into a standard deviation based regularization model to detect malicious PDF *** second model is a support vector machine(SVM)based ensemble model with three different *** two models were trained and tested on two different *** experimental results show that the accuracy of both models is approximately 100%,and the robustness against evasive samples is ***,the robustness of the models was evaluated with malicious PDF documents generated using *** models can distinguish the different vulnerabilities exploited in malicious files and achieve excellent performance in terms of generalization ability,accuracy,and robustness.

关键词： Malicious PDF classification robustness guiding principles convolutional neural network new regularization

Clustering in Bioinformatics and Drug Discovery

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论