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An integrated land change modeler and distributed hydrological model approach for quantifying future urban runoff dynamics

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Science China Earth Sciences 2024年第10期67卷 3288-3301页

作者： Asad Hussain muhammad Waseem muhammad Ajmal muhammad Atiq Ur Rehman Tariq muhammad Jiaqing XIAO Tao YANG Pengfei SHI Institute for Disaster Risk Management School of Geographical ScienceNanjing University of Information Science and TechnologyNanjing 210044China The National Key Laboratory of Water Disaster Prevention Hohai UniversityNanjing 210098China Yangtze Institute for Conservation and Development Hohai UniversityNanjing 210098China College of Hydrology and Water Resources Hohai UniversityNanjing 210098China Centre of Excellence in Water Resources Engineering University of Engineering and TechnologyLahore 54890Pakistan Department of Agricultural Engineering Faculty of CivilAgricultural and Mining EngineeringUniversity of Engineering and TechnologyPeshawar 25120Pakistan

Climate and land use changes have a significant impact on the runoff generation process in urban environments, and these effects could get worse in the future. The combined contributions of these changes have increased the risk of ***, there is a need for integrated modeling to better understand the runoff variability, especially in small urban catchments. To quantify and separate the effects of land-use changes and climate change on the hydrological response of urban catchments with a distributed hydrological model(Storm Water Management Model, SWMM), this study introduces a new integrated approach based on the Machine Learning based land use change modeler and climate change scenarios under *** on supervised classification and land use change model analysis, accumulated impervious area increase from 22%(in2023) to 33%(in 2060) was observed in the study area. Furthermore, integrating this projected increase in imperviousness with future climate change into SWMM by considering three different scenarios i.e., S1(Climate Change), S2(Combined Land Use and Climate Change), and S3(Land use Change) resulted that climate change could cause an increase in runoff from 13.2% to18.3% in peak runoff and the contribution of land use could range from 9.1% to 18.6%. Similarly, in response to the coupled effects of climate and land-use change, the runoff would likely change from 24.53% to 39.66%. Conclusively, the study showed that despite climate change, intensive urban development by the substitution of impervious surfaces could also have a severe impact on the microclimate and hydrology of small catchments. Lastly, this study could provide a way forward for the future planning and management of water resources in small catchments which could be extended to larger catchments.

关键词： Climate change Land-use modeling Runoff simulation Percent Imperviousness TerrSet

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Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 805-820页

作者： Amol Dattatray Dhaygude Gaurav Kumar Ameta Ihtiram Raza khan Pavitar Parkash Singh Renato R.Maaliw III Natrayan Lakshmaiya Mohammad Shabaz muhammad Attique khan Hany S.Hussein Hammam Alshazly Department of Data Science University of WashingtonSeattleWashingtonUSA Department of Computer Science&Engineering Parul Institute of TechnologyParul UniversityVadodaraGujaratIndia Department of Computer Science Jamia HamdardDelhiIndia Department of Management Lovely Professional UniversityPhagwaraIndia 5 College of Engineering Southern Luzon State UniversityLucbanQuezonPhilippines Department of Mechanical Engineering Saveetha School of EngineeringSIMATSChennaiTamil NaduIndia Model Institute of Engineering and Technology JammuJ&KIndia Department of Computer Science HITEC UniversityTaxilaPakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Electrical Engineering Department College of EngineeringKing Khalid UniversityAbhaSaudi Arabia Electrical Engineering Department Aswan UniversityAswanEgypt Faculty of Computers and Information South Valley UniversityQenaEgypt

Deep learning has recently become a viable approach for classifying Alzheimer's disease(AD)in medical ***,existing models struggle to efficiently extract features from medical images and may squander additional information resources for illness *** address these issues,a deep three‐dimensional convolutional neural network incorporating multi‐task learning and attention mechanisms is *** upgraded primary C3D network is utilised to create rougher low‐level feature *** introduces a new convolution block that focuses on the structural aspects of the magnetORCID:ic resonance imaging image and another block that extracts attention weights unique to certain pixel positions in the feature map and multiplies them with the feature map ***,several fully connected layers are used to achieve multi‐task learning,generating three outputs,including the primary classification *** other two outputs employ backpropagation during training to improve the primary classification *** findings show that the authors’proposed method outperforms current approaches for classifying AD,achieving enhanced classification accuracy and other in-dicators on the Alzheimer's disease Neuroimaging Initiative *** authors demonstrate promise for future disease classification studies.

关键词： classification deep learning

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Innovative COVID-19 Screening: RT-LAMP Assay for Spike and NSP1 Proteins

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Journal of Clinical and Nursing Research 2024年第6期8卷 256-265页

作者： muhammad Yousaf Amber khan Department of Biosciences COMSATS University IslamabadPark RdIslamabad Capital Territory 45550Pakistan Department of Biosciences Shaheed Zulfikar Ali Bhutto Institute of Science and Technology(SZABIST)KarachiPakistan

Coronavirus disease(COVID-19)is a serious respiratory disease that spreads through the coronavirus *** soon became a pandemic after its appearance in 2019 and demanded new techniques for its identification and *** to this situation,RT-LAMP appears to be a novel method for the identification of COVID-19 because of its vast applications,including cost-effectiveness and *** research highlights the use of RT-LAMP,a more sensitive test than RT-PCR,for the assessment of SARS-CoV-2,the severe acute respiratory *** identify the spike(S)and NSP1 protein using RT-LAMP,170 total samples of coronavirus-suspected patients were served in this *** certifications and bioethical considerations were taken into *** the sample was extracted from the patient's swabs,RNA was isolated,extracted,and *** response was then run on the RT-LAMP at the ideal temperature,and the outcomes could be observed with the unaided eye as they changed from pink to *** is a simple method of determining if the test is positive or *** this purpose,both RT-LAMP and RT-PCR tests are used during these *** linked with COVID-19 testing including S,nspl,and ORF are suited to coronavirus testing;they have 100%specificity and low sensitivity,but S has more specificity and sensitivity than nspl and ORF,*** of the 95 positive samples,89(93.68%)samples yielded favorable outcomes utilizing RT-LAMP,while 55 negative samples yielded 100%positive *** present research demonstrates that RT-LAMP is less sensitive yet more selective for coronavirus detection.

关键词： COVID-19 NSP1 Spike RT-LAMP

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Assessment of Toxoplasma gondii Contamination in Cat Feces

IJLAI Transactions on Science and Engineering

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IJLAI Transactions on Science and Engineering 2024年第2期2卷 21-28页

作者： Kausar khan muhammad Ibrar Department of Zoology Abdul Wali Khan UniversityMardanPakistan 2 Software CollegeShenyang Normal UniversityShenyangChina

A study in district Buner,Khyber Pakhtunkhwa,aimed to determine the prevalence of Toxoplasma gondii in cat feces.243 fecal samples were collected and examined for intestinal parasites at Abdul Wali khan University *** these,58 samples(23.86%)were positive for *** *** were collected over five months from November 2016 to March 2017,with varying prevalence rates:20% in November,25.7% in December,22.5% in January,25.9% in February,and 21.9% in *** was the first study of its kind conducted in district Buner.

关键词： Toxoplasma gondii Cat feces Prevalence Intestinal parasites Oocysts

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Highly Active Interfacial Sites in SFT-SnO_(2) Heterojunction Electrolyte for Enhanced Fuel Cell Performance via Engineered Energy Bands:Envisioned Theoretically and Experimentally

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Energy & Environmental Materials 2024年第3期7卷 384-397页

作者： Sajid Rauf muhammad Bilal Hanif Faiz Wali Zuhra Tayyab Bin Zhu Naveed Mushtaq Yatao Yang Kashif khan Peter D.Lund Martin Motola Wei Xu College of Electronic and Information Engineering and State Key Laboratory of Radio frequency Heterogeneous Integration Shenzhen UniversityShenzhen 518000China Department of Inorganic Chemistry Faculty of Natural SciencesComenius University in BratislavaIlkovicova 684215BratislavaSlovakia College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China School of Energy and Environment Southeast UniversityNo.2 Si Pai LouNanjing 210096China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China New Energy Technologies Group Department of Applied PhysicsAalto University School of ScienceP.O.Box 15100Fl-00076AaltoEspoo Finland

Extending the ionic conductivity is the pre-requisite of electrolytes in fuel cell technology for high-electrochemical *** this regard,the introduction of semiconductor-oxide materials and the approach of heterostructure formation by modulating energy bands to enhance ionic conduction acting as an electrolyte in fuel ***(n-type;SnO_(2))plays a key role by introducing into p-type SrFe_(0.2)Ti_(0.8)O_(3-δ)(SFT)semiconductor perovskite materials to construct p-n heterojunction for high ionic ***,two different composites of SFT and SnO_(2)are constructed by gluing p-and n-type SFT-SnO_(2),where the optimal composition of SFT-SnO_(2)(6∶4)heterostructure electrolyte-based fuel cell achieved excellent ionic conductivity 0.24 S cm^(-1)with power-output of 1004 mW cm^(-2)and high OCV 1.12 V at a low operational temperature of 500℃.The high power-output and significant ionic conductivity with durable operation of 54 h are accredited to SFT-SnO_(2)heterojunction formation including interfacial conduction assisted by a built-in electric field in fuel cell ***,the fuel conversion efficiency and considerable Faradaic efficiency reveal the compatibility of SFT-SnO_(2)heterostructure electrolyte and ruled-out short-circuiting ***,the first principle calculation provides sufficient information on structure optimization and energy-band structure modulation of SFT-SnO_(2).This strategy will provide new insight into semiconductor-based fuel cell technology to design novel electrolytes.

关键词： high ionic conductivity interfacial conduction modulated energy band structure p-n heterojunction semiconductors

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Enhancing cotton resilience to challenging climates through genetic modifications

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Journal of Cotton Research 2024年第2期7卷 196-206页

作者： AHMED Ali Ijaz khan Azeem Iqbal NEGM Mohamed A.M. IQBAL Rida AZHAR muhammad Tehseen khan Sultan Habibullah RANA Iqrar Ahmad Department of Plant Breeding and Genetics University of AgricultureFaisalabadFaisalabad 38000Pakistan Cotton Research Institute-Giza GizaEgypt Centre for Advanced Studies in Agriculture and Food Security University of AgricultureFaisalabadFaisalabad 38000Pakistan Centre of Agricultural Biochemistry and Biotechnology University of AgricultureFaisalabadFaisalabad 38000Pakistan School of Agriculture Sciences Zhengzhou UniversityZhengzhou 450000China

Cotton is one of the most important fiber crops that plays a vital role in the textile *** production has been unstable over the years due to climate change induced biotic stresses such as insects,diseases,and weeds,as well as abiotic stresses including drought,salinity,heat,and *** breeding methods have been used to breed climate resilient cotton,but it requires a considerable amount of time to enhance crop tolerance to insect pests and changing climatic conditions.A promising strategy for improving tolerance against these stresses is genetic *** review article discusses the role of genetic engineering in cotton *** essential concepts and techniques include genome editing via clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated protein 9(CRISPR-Cas9),overexpression of target genes,downregulation using RNA interference(RNAi),and virus-induced gene silencing(VIGS).Notably,the Agrobacterium-mediated transformation has made significant contributions to using these techniques for obtaining stable transgenic plants.

关键词： Cotton Genome editing Drought Salinity Heat

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Artificial Intelligence Based Meteorological Parameter Forecasting for Optimizing Response of Nuclear Emergency Decision Support System

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原子能科学技术 2024年

作者： BILAL Ahmed khan HASEEB ur Rehman QAISAR Nadeem muhammad Ahmad Naveed Qureshi JAWARIA Ahad muhammad Naveed Akhtar AMJAD Farooq MASROOR Ahmad Pakistan Institute of Engineering and Applied Sciences

This paper presents a novel artificial intelligence (AI) based approach to predict crucial meteorological parameters such as temperature,pressure,and wind speed,typically calculated from computationally intensive weather research and forecasting (WRF) *** meteorological data is indispensable for simulating the release of radioactive effluents,especially in dispersion modeling for nuclear emergency decision support *** of meteorological conditions during nuclear emergencies using the conventional WRF model is very complex and ***,a new artificial neural network (ANN) based technique was proposed as a viable alternative for meteorological prediction.A multi-input multi-output neural network was trained using historical site-specific meteorological data to forecast the meteorological *** evaluation of this technique was conducted to test its performance in forecasting various parameters including atmospheric pressure,temperature,and wind speed components in both East-West and North-South *** performance of developed network was evaluated on an unknown dataset,and acquired results are within the acceptable range for all meteorological *** show that ANNs possess the capability to forecast meteorological parameters,such as temperature and pressure,at multiple spatial locations within a grid with high accuracy,utilizing input data from a single ***,accuracy is slightly compromised when predicting wind speed *** mean square error (RMSE) was utilized to report the accuracy of predicted results,with values of 1.453℃for temperature,77 Pa for predicted pressure,1.058 m/s for the wind speed of U-component and 0.959 m/s for the wind speed of *** conclusion,this approach offers a precise,efficient,and wellinformed method for administrative decision-making during nuclear emergencies.

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Autologous hematopoietic stem cell transplantation conditioning regimens and chimeric antigen receptor T cell therapy in various diseases

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World Journal of Transplantation 2024年第1期14卷 32-41页

作者： Shahzaib Maqbool Maryam Farhan Baloch muhammad Abdul Khaliq khan Azeem Khalid Kiran Naimat Department of Medicine Holy Family HospitalRawalpindi 46000Pakistan Department of Community Medicine Allama Iqbal Medical CollegeLahore 45000Pakistan Department of Community Dentistry Baqai Medical UniversityKarachi 43000Pakistan Department of Medicine Allama lqbal Medical CollegeLahore 45000Pakistan Department of MedicineLiaquat University of Medical and Health Sciences Karachi 43000Pakistan

Conditioning regimens employed in autologous stem cell transplantation have been proven useful in various hematological disorders and underlying malignancies;however,despite being efficacious in various instances,negative consequences have also been *** conditioning regimens were extracted from various literature searches from databases like PubMed,Google scholar,EMBASE,and *** regimens for each disease were compared by using various end points such as overall survival(OS),progression free survival(PFS),and leukemia free survival(LFS).Variables were presented on graphs and analyzed to conclude a more efficacious conditioning *** multiple myeloma,the most effective regimen was high dose melphalan(MEL)given at a dose of 200/mg/*** comparative results of acute myeloid leukemia were presented and the regimens that proved to be at an admirable position were busulfan(BU)+MEL regarding OS and BU+VP16 regarding *** case of acute lymphoblastic leukemia(ALL),BU,fludarabine,and etoposide(BuFluVP)conferred good disease control not only with a paramount improvement in survival rate but also low risk of ***,for ALL,chimeric antigen receptor(CAR)T cell therapy was preferred in the context of better OS and *** respect to Hodgkin’s lymphoma,mitoxantrone(MITO)/MEL overtook carmustine,VP16,cytarabine,and MEL in view of PFS and vice versa regarding ***-Hodgkin’s lymphoma patients were administered MITO(60 mg/m2)and MEL(180 mg/m2)which showed promising ***,amyloidosis was considered,and the regimen that proved to be competent was MEL 200(200 mg/m2).This review article demonstrates a comparison between various conditioning regimens employed in different diseases.

关键词： Conditioning regimens Multiple myeloma Lymphoma Hodgkin Non-Hodgkin Acute leukemia

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Construction of robust and durable Cu_(2)Se-V_(2)O_(5) nanosheet electrocatalyst for alkaline oxygen evolution reaction

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Frontiers of Chemical Science and Engineering 2024年第6期18卷 71-83页

作者： Tauseef Munawar Ambreen Bashir Khalid Mujasam Batoo Saman Fatima Faisal Mukhtar Sajjad Hussain Sumaira Manzoor muhammad Naeem Ashiq Shoukat Alim khan Muammer Koc Faisal Iqbal Institute of Physics The Islamia University of BahawalpurBahawalpur 63100Pakistan King Abdullah Institute for Nanotechnology King Saud UniversityRiyadh 11451Saudi Arabia Hybrid Materials Center(HMC) Sejong UniversitySeoul 05006Republic of Korea Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Institute of Chemical Sciences Bahauddin Zakariya UniversityMultan 60800Pakistan Division of Sustainable Development College of Science and EngineeringHamad Bin Khalifa UniversityQatar FoundationDoha 34110Qatar

Reducing the production costs of clean energy carriers such as hydrogen through scalable water electrolysis is a potential solution for advancing the hydrogen *** the various material candidates,our group demonstrated transition-metal-based materials with tunable electronic characteristics,various phases,and ***,electrochemical water oxidation using Cu_(2)Se-V_(2)O_(5) as a non-precious metallic electrocatalyst via a hydrothermal approach is *** water-splitting performance of all the fabricated electrocatalysts was evaluated after direct growth on a stainless-steel *** electrochemically tuned Cu_(2)Se-V_(2)O_(5) catalyst exhibited a reduced overpotential of 128 mV and provided a reduced Tafel slope of 57 mV·dec^(−1) to meet the maximum current density of 250 mA·cm^(−2).The optimized strategy for interfacial coupling of the fabricated Cu_(2)Se-V_(2)O_(5) catalyst resulted in a porous structure with accessible active sites,which enabled adsorption of the intermediates and afforded an effective charge transfer rate for promoting the oxygen evolution ***,the combined effect of the catalyst components provided long-term stability for over 110 h in an alkaline solution,which makes the catalyst promising for large-scale practical *** aforementioned advantages of the composite catalyst overcome the limitations of low conductivity,agglomeration,and poor stability of the pure catalysts(Cu2Se and V2O5).

关键词： oxygen evolution reaction Cu_(2)Se-V_(2)O_(5)composite nanosheets metal-diffused ions accessible adsorption sites

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Enhancing PDF Malware Detection through Logistic Model Trees

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Computers, Materials & Continua 2024年第3期78卷 3645-3663页

作者： muhammad Binsawad Department of Information Systems King Abdulaziz UniversityP.O.Box 80217Jeddah21589Saudi Arabia

Malware is an ever-present and dynamic threat to networks and computer systems in cybersecurity,and because of its complexity and evasiveness,it is challenging to identify using traditional signature-based detection *** study article discusses the growing danger to cybersecurity that malware hidden in PDF files poses,highlighting the shortcomings of conventional detection techniques and the difficulties presented by adversarial *** article presents a new method that improves PDF virus detection by using document analysis and a Logistic Model *** a dataset from the Canadian Institute for Cybersecurity,a comparative analysis is carried out with well-known machine learning models,such as Credal Decision Tree,Naïve Bayes,Average One Dependency Estimator,Locally Weighted Learning,and Stochastic Gradient *** traditional structural and JavaScript-centric PDF analysis,the research makes a substantial contribution to the area by boosting precision and resilience in malware *** use of Logistic Model Tree,a thorough feature selection approach,and increased focus on PDF file attributes all contribute to the efficiency of PDF virus *** paper emphasizes Logistic Model Tree’s critical role in tackling increasing cybersecurity threats and proposes a viable answer to practical issues in the *** results reveal that the Logistic Model Tree is superior,with improved accuracy of 97.46%when compared to benchmark models,demonstrating its usefulness in addressing the ever-changing threat landscape.

关键词： Malware detection PDF files logistic model tree feature selection cybersecurity

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