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Apple microbial communities and differences between two main Chinese producing regions

Food Quality and Safety 2022年第1期6卷 34-44页

作者： Youming Shen Jianyi Zhang Jiyun Nie Hui Zhang syed asim shah bacha College of Horticulture Qingdao Agricultural University/Laboratory of Quality&Safety Risk Assessment for Fruit(Qingdao)Ministry of Agriculture and Rural Affairs/National Technology Centre for Whole Process Quality Control of FSEN Horticultural Products(Qingdao)/Qingdao Key Lab of Modern Agriculture Quality and Safety EngineeringQingdaoChina Institute of Pomology Chinese Academy of Agricultural Sciences/Laboratory of Quality&Safety Risk Assessment for Fruit(Xingcheng)Ministry of Agriculture and Rural Affairs/Quality Inspection and Test Center for Fruit and Nursery Stocks(Xingcheng)Ministry of Agriculture and Rural AffairsXingchengChina

Microbes on fresh apples are closely associated with fruit disease,preservation,and quality *** into the microbial commu-nities on apples from different producing regions could reveal the microbial specificity and help disease prevention and quality *** this paper,the apple surface microbes of 44 samples from two main Chinese apple-producing regions,Bohai Bay(BHB)and the Loess Plateau(LP),were investigated by sequencing fungal internal transcribed spacer and bacterial 16s rRNA hypervariable *** and LP apples con-tained significantly different bacterial and fungal *** apples had a higher fungal diversity than LP apples.A total of 102 different fungal and bacterial taxonomies were obtained between apples from the two regions,in which 24 genera were *** apples had higher phytopathogenic fungal genera,such as Tilletiopsis,Acremonium,Candida,and Phoma,indicating the higher phytopathogenic risks of apples from the humid climate of the BHB *** apples contained more bacterial genera identified as gut microbes,indicating the potential risks of contaminating apples with foodborne pathogens in the arid environment of the LP This study highlighted the environment-oriented mi-crobial specificity on apples from two main apple-producing regions,and provided a basis for further investigation.

关键词： Apple regional climate microbiome metagenomics next generation sequencing

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Evaluation of sugar and organic acid composition and their levels in highbush blueberries from two regions of China

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Journal of Integrative Agriculture 2020年第9期19卷 2352-2361页

作者： ZHANG Jia NIE Ji-yun LI Jing ZHANG Hui LI Ye Saqib FAROOQ syed asim shah bacha WANG Jie Laboratory of Quality&Safety Risk Assessment for Fruit(Xingcheng) Ministry of Agriculture and Rural Affairs/Institute of PomologyChinese Academy of Agricultural SciencesXingcheng 125100P.R.China College of Horticulture Qingdao Agricultural UniversityQingdao 266109P.R.China Institude of Crop Science Chinese Academy of Agricultural SciencesBeijing 100081P.R.China

Sweet and sour are the most important taste of blueberries,and they are produced by sugar and acid,*** contributions to the taste depend not only on the levels of sugar and acid,but also on the types and relative proportions of sugar and ***,it is very important to evaluate the composition and levels of sugar and acid in *** differences and variety diversity also affect the sugar and acid characteristics of ***,this study selected two main producing regions in northern China(Weihai and Yingkou)to examine the sugar and acid characteristics of 11 common blueberry *** indexes measured included soluble sugars,organic acids,soluble solid content and titratable *** results showed that glucose and fructose were the major sugars,and citric acid and quinic acid were the major organic *** analysis showed that glucose,fructose,and sucrose were positively correlated with total sugar content;the citric acid content was positively correlated with the titratable acidity and total organic *** acidity,glucose,fructose,sucrose,total sugar content,citric acid,shikimic acid and total acid content of the blueberries varied significantly between regions(P<0.05).In general,compared with Weihai blueberries,Yingkou blueberries had higher sugar content and lower acid *** results of this study may provide useful references for the evaluation of sweet and sour flavors and cultivar selection of blueberries.

关键词： blueberry sugar organic acid level evaluation

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Steel Surface Defect Detection Using Learnable Memory Vision Transformer

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Computers, Materials & Continua 2025年第1期82卷 499-520页

作者： syed Tasnimul Karim Ayon Farhan Md.Siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea

This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel *** awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and *** techniques mitigated overfitting,stabilized training,and improved generalization *** LMViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LMViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,*** findings highlight the LMViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature *** additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LMViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial *** instance,the LMViT model successfully identified fine scratches and minor surface irregularities that CNNs often *** study not only demonstrates LMViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are *** research m

关键词： Learnable Memory Vision Transformer(LMViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning,computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

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Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay Ali syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna Abdullah Mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

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NUMERICAL SIMULATION OF AN OSCILLATING FLOW PAST A CIRCULAR CYLINDER IN THE VICINITY OF A PLANE WALL

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Journal of Hydrodynamics 2008年第5期20卷 547-552页

作者： shah syed Bilal Hussain Department of Modern Mechanics University of Science and Technology of China

Oscillating flow around a circular cylinder in the vicinity of a plane wall was investigated by solving the two-dimensional incompressible Navier-Stokes equations with a finite element Galarkin residual method. The effect of the gap G/D between the cylinder surface and the wall on the flow behavior was studied. For the case of G/D 〈 0.25, the periodicity in the flow is attributed to both the outer shear layer instability and the oscillating frequency. As G/D 〉 0.25, vortex shedding occurs and the periodicity in the flow is mainly due to the competition of the oscillating frcqucncy and the vortex shedding frequency from an isolated stationary cylinder.

关键词： finite element method vortex shedding oscillating flow circular cylinder

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TiC-Maraging stainless steel composite:microstructure, mechanical and wear properties

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Rare Metals 2006年第6期25卷 630-635页

作者： Akhtar Farid Khadijah Ali shah syed Javid Askari School of Material Science and Engineering University of Science and Technology Beijing Beijing 100083 China

Particulate TiC reinforced 17-4PH and 465 maraging stainless steel matrix composites were processed by conventional powder metallurgy （P/M）. TiC-maraging stainless steel composites with theoretical density 〉97% were produced using conventional P/M. The microstructure, and mechanical and wear properties of the composites were evaluated. The microstructure of the composites consisted of （core-rim structure） spherical and semi-spherical TiC particles depending on the wettability of the matrix with TiC particles. In TiC-maraging stainless steel composites, 465 stainless steel binder phase showed good wettability with TiC particles. Some microcracks appeared in the composites, indicating the presence of tensile stresses in the composites produced during sintering. The typical properties, hardness, and bend strength were reported for the composites. After heat treatment and aging, an increase in hardness was observed. The increase in hardness was at- tributed to the aging reaction in maraging stainless steel. The specific wear behavior of the composites strongly depends on the content of TiC particles and their interparticle spacing, and on the heat treatment of the maraging stainless steel.

关键词： TiC-maraging stainless steel composites aging wear powder metallurgy microcracks

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Machine learning empowered COVID-19 patient monitoring using non-contact sensing:An extensive review

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Journal of Pharmaceutical Analysis 2022年第2期12卷 193-204页

作者： Umer Saeed syed Yaseen shah Jawad Ahmad Muhammad Ali Imran Qammer H.Abbasi syed Aziz shah Research Centre for Intelligent Healthcare Coventry UniversityCoventryCV15FBUK School of Computing Engineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowG40BAUK School of Computing Edinburgh Napier UniversityEdinburghEH114BNUK James Watt School of Engineering University of GlasgowGlasgowG128QQUK

The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),which caused the coronavirus disease 2019(COVID-19)pandemic,has affected more than 400 million people *** the recent rise of new Delta and Omicron variants,the efficacy of the vaccines has become an important *** goal of various studies has been to limit the spread of the virus by utilizing wireless sensing technologies to prevent human-to-human interactions,particularly for healthcare *** this paper,we discuss the current literature on invasive/contact and non-invasive/noncontact technologies(including Wi-Fi,radar,and software-defined radio)that have been effectively used to detect,diagnose,and monitor human activities and COVID-19 related symptoms,such as irregular *** addition,we focused on cutting-edge machine learning algorithms(such as generative adversarial networks,random forest,multilayer perceptron,support vector machine,extremely randomized trees,and k-nearest neighbors)and their essential role in intelligent healthcare ***,this study highlights the limitations related to non-invasive techniques and prospective research directions.

关键词： Artificial intelligence Non-invasive healthcare Machine learning Non-contact sensing COVID-19

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Fractional Processing Based Adaptive Beamforming Algorithm

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Computers, Materials & Continua 2023年第7期76卷 1065-1084页

作者： syed Asghar Ali shah Tariqullah Jan syed Muslim shah Ruhul Amin Khalil Ahmad Sawalmeh Muhammad Anan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science Northern Border UniversityArar91431Saudi Arabia Department of Software Engineering Alfaisal UniversityRiyadh11533Saudi Arabia

Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate the use of fractional order algorithm in the field of adaptive beam-forming,with a focus on improving performance while keeping complexity *** effectiveness of the algorithm will be studied and evaluated in this *** this paper,a fractional order least mean square(FLMS)algorithm is proposed for adaptive beamforming in wireless applications for effective utilization of *** algorithm aims to improve upon existing beam-forming algorithms,which are inefficient in performance,by offering faster convergence,better accuracy,and comparable computational *** FLMS algorithm uses fractional order gradient in addition to the standard ordered gradient in weight *** derivation of the algorithm is provided and supported by mathematical convergence *** is evaluated through simulations using mean square error(MSE)minimization as a metric and compared with the standard LMS algorithm for various *** results,obtained through Matlab simulations,show that the FLMS algorithm outperforms the standard LMS in terms of convergence speed,beampattern accuracy and scatter *** outperforms LMS in terms of convergence speed by 34%.From this,it can be concluded that FLMS is a better candidate for adaptive beamforming and other signal processing applications.

关键词： Adaptive beamforming adaptive array fractional processing least mean square fractional least mean square

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Fractional-calculus analysis of human immunodeficiency virus and CD4+T-cells with control interventions

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Communications in Theoretical Physics 2022年第10期74卷 1-15页

作者： Rashid Jan Salah Boulaaras syed Azhar Ali shah Department of Mathematics University of SwabiSwabi 23430KPKPakistan Department of Mathematics College of Sciences and ArtsArRassQassim UniversitySaudi Arabia

It is undeniable that HIV infection has been a censorious public health concern over the past four *** is reported that HIV is the main reason for AIDs which has decimated the global population of humans and imposed a significant economic burden on affected ***,it is significant to study the transmission of HIV viruses in the body of a human *** this study,we use a fractional framework to organise the intricate interactions of CD4^(+)T-cells and HIV viruses in order to investigate HIV infection with control *** apply the operators of Caputo and Atangana–Baleanu to interrogate the transmission phenomena of HIV *** the analysis of our system,we present the basic concepts of the fractional *** schemes are provided to show the solution pathways of the system with the variation of input ***,the findings emphasise the chaotic and dynamical behaviour of *** run several simulations to visualise the influence of input factors and quantitatively illustrated the dynamics of *** and oscillatory behaviour are intimately linked,and this is owing to the system’s ***,our findings indicate the most important factors for infection control and prevention.

关键词： fractional-calculus HIV infection dynamics of HIV numerical method time series analysis

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Certificate revocation in vehicular ad hoc networks techniques and protocols: a survey

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Science China(Information Sciences) 2017年第10期60卷 7-24页

作者： Taimur KHAN Naveed AHMAD Yue CAO syed asim JALAL Muhammad ASIF Sana ul HAQ Haitham CRUICHSHANK Department of Computer Sciences University of Peshawar Department of Computer and Information Sciences Northumbria University Institute of Communication Systems University of Surrey

Vehicular Ad hoc Networks(VANETs) are special kind of Mobile Ad hoc Networks(MANETs),where vehicles communicate with each other in ad hoc formation. VANETs consist of Vehicles and Road Side Units(RSUs) that assist in the network management. Vehicles communicate with each other and RSUs, with the aim to provide infotainment and safety services on road. Security is an important consideration in VANETs as safety of humans(passengers) is an important issue. Vehicular Public Key Infrastructure(VPKI) is an adapted form of Public Key Infrastructure(PKI) used to achieve the key management and security services in *** generation and revocation is one of the primary functions of VPKI. Certificate revocation is used for revoking the malicious nodes and terminate their access rights to the network. In this paper we classify revocation schemes in a novel way into centralized and decentralized manners. This paper covers a survey of different certificate revocation schemes, and provides an overview of the research in the area of certificate revocation in VANETs.

关键词： certificate revocation list VANETs Intelligent Transportation System(ITS) Public Key Infrastructure(PKI) Vehicular Public Key Infrastructure(VPKI)

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