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Computers, Materials & Continua 2024年第2期78卷 2441-2468页

作者： Vaishnawi Priyadarshni Sanjay Kumar Sharma mohammad khalid Imam Rahmani Baijnath Kaushik Rania Almajalid Department of Computer Science Gautam Buddha UniversityGreater NoidaUttar PradeshIndia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia School of Computer Science Shri Vaishno Devi UniversityKatraIndia

Breast cancer(BC)is one of the leading causes of death among women worldwide,as it has emerged as the most commonly diagnosed malignancy in *** detection and effective treatment of BC can help save women’s *** an efficient technology-based detection system can lead to non-destructive and preliminary cancer detection *** paper proposes a comprehensive framework that can effectively diagnose cancerous cells from benign cells using the Curated Breast Imaging Subset of the Digital Database for Screening Mammography(CBIS-DDSM)data *** novelty of the proposed framework lies in the integration of various techniques,where the fusion of deep learning(DL),traditional machine learning(ML)techniques,and enhanced classification models have been deployed using the curated *** analysis outcome proves that the proposed enhanced RF(ERF),enhanced DT(EDT)and enhanced LR(ELR)models for BC detection outperformed most of the existing models with impressive results.

关键词： Autoencoder breast cancer deep neural network convolutional neural network image processing machine learning deep learning

MXenes and heterostructures-based electrocatalysts for hydrogen evolution reaction:Recent developments and future outlook

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Journal of Energy Chemistry 2024年第5期92卷 176-206页

作者： Abdul Hanan Hafiz Taimoor Ahmed Awan Faiza Bibi Raja Rafidah Raja Sulaiman Wai Yin Wong Rashmi Walvekar Seema Singh mohammad khalid Sunway Centre for Electrochemical Energy and Sustainable Technology(SCEEST) School of Engineering and TechnologySunway UniversityNo.5 Jalan UniversitiBandar Sunway47500 Petaling JayaSelangorMalaysia Fuel Cell Institute Universiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Innovation and Technology School of EngineeringChemical Engineering ProgrammeNo.1 Jalan Taylor’sTaylor’s University Malaysia47500 Subang JayaSelangorMalaysia Chitkara Centre for Research and Development Chitkara UniversityHimachal Pradesh 174103India School of Applied and Life Sciences Uttaranchal UniversityDehradunUttarakhand 248007India Manipal Institute of Technology Manipal Academy of Higher EducationManipal 576104KarnatakaIndia Centre of Research Impact and Outcome Chitkara UniversityPunjab 140401India

The increasing focus on electrocatalysis for sustainable hydrogen(H_(2))production has prompted significant interest in MXenes,a class of two-dimensional(2D)materials comprising metal carbides,carbonitrides,and *** materials exhibit intriguing chemical and physical properties,including excellent electrical conductivity and a large surface area,making them attractive candidates for the hydrogen evolution reaction(HER).This scientific review explores recent advancements in MXene-based electrocatalysts for HER *** discusses various compositions,functionalities,and explicit design principles while providing a comprehensive overview of synthesis methods,exceptional properties,and electro-catalytic approaches for H_(2) production via electrochemical ***,challenges and future prospects in designing MXenes-based electrocatalysts with enhanced kinetics are highlighted,emphasizing the potential of incorporating different metals to expand the scope of electrochemical *** review suggests possible efforts for developing advanced MXenes-based electrocatalysts,particularly for efficient H_(2) generation through electrochemical water-splitting reactions..

关键词： MXenes Electrocatalyst Water Splitting Hydrogen Generation Clean Energy

Application of Stork Optimization Algorithm for Solving Sustainable Lot Size Optimization

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Computers, Materials & Continua 2024年第8期80卷 2005-2030页

作者： Tareq Hamadneh khalid Kaabneh Omar Alssayed Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Zoubida Benmamoun Zeinab Monrazeri mohammad Dehghani Department of Mathematics Al Zaytoonah University of JordanAmman11733Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Computer Engineering International Information Technology UniversityAlmaty050000Kazakhstan Faculty of Engineering Liwa CollegeAbu Dhabi41009United Arab Emirates Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran

The efficiency of businesses is often hindered by the challenges encountered in traditional Supply Chain Manage-ment(SCM),which is characterized by elevated risks due to inadequate accountability and *** address these challenges and improve operations in green manufacturing,optimization algorithms play a crucial role in supporting decision-making *** this study,we propose a solution to the green lot size optimization issue by leveraging bio-inspired algorithms,notably the Stork Optimization Algorithm(SOA).The SOA draws inspiration from the hunting and winter migration strategies employed by storks in *** theoretical framework of SOA is elaborated and mathematically modeled through two distinct phases:exploration,based on migration simulation,and exploitation,based on hunting strategy *** tackle the green lot size optimization issue,our methodology involved gathering real-world data,which was then transformed into a simplified function with multiple constraints aimed at optimizing total costs and minimizing CO_(2) *** function served as input for the SOA ***,the SOA model was applied to identify the optimal lot size that strikes a balance between cost-effectiveness and *** extensive experimentation,we compared the performance of SOA with twelve established metaheuristic algorithms,consistently demonstrating that SOA outperformed the *** study’s contribution lies in providing an effective solution to the sustainable lot-size optimization dilemma,thereby reducing environmental impact and enhancing supply chain *** simulation findings underscore that SOA consistently achieves superior outcomes compared to existing optimization methodologies,making it a promising approach for green manufacturing and sustainable supply chain management.

关键词： Optimization supply chain management sustainable lot size optimization bio-inspired metaheuristic stork

Magnificent Frigatebird Optimization: A New Bio-Inspired Metaheuristic Approach for Solving Optimization Problems

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Computers, Materials & Continua 2024年第8期80卷 2721-2741页

作者： Tareq Hamadneh khalid Kaabneh Ibraheem AbuFalahah Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Sayan Omarov Zeinab Monrazeri Frank Werner mohammad Dehghani Department of Mathematics Al Zaytoonah University of JordanAmman11733Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Computer Engineering International Information Technology UniversityAlmaty050000Kazakhstan Department of Big Data Analytics and Data Science Software Development Company《QazCode》Almaty050063Kazakhstan Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran Faculty of Mathematics Otto-von-Guericke UniversityP.O.Box 4120Magdeburg39016Germany

This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural *** foundation of MFO is based on the kleptoparasitic behavior of these birds,where they steal prey from other *** this process,a magnificent frigatebird targets a food-carrying seabird,aggressively pecking at it until the seabird drops its *** frigatebird then swiftly dives to capture the abandoned prey before it falls into the *** theoretical framework of MFO is thoroughly detailed and mathematically represented,mimicking the frigatebird’s kleptoparasitic behavior in two distinct phases:exploration and *** the exploration phase,the algorithm searches for new potential solutions across a broad area,akin to the frigatebird scouting for vulnerable *** the exploitation phase,the algorithm fine-tunes the solutions,similar to the frigatebird focusing on a single target to secure its *** evaluate MFO’s performance,the algorithm is tested on twenty-three standard benchmark functions,including unimodal,high-dimensional multimodal,and fixed-dimensional multimodal *** results from these evaluations highlight MFO’s proficiency in balancing exploration and exploitation throughout the optimization *** studies with twelve well-known metaheuristic algo-rithms demonstrate that MFO consistently achieves superior optimization results,outperforming its competitors across various *** addition,the implementation of MFO on four engineering design problems shows the effectiveness of the proposed approach in handling real-world applications,thereby validating its practical utility and robustness.

关键词： Optimization metaheuristic magnificent frigatebirds exploration exploitation

黄腐酸和羟丙基-β-环糊精对阿司匹林分解的影响比较

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腐植酸 2012年第3期 36-38页

作者： mohammad khalid anwer Suraj Prakash Agarwal Asgar Ali Yasmin Sultana 崔佳丽刘建珍游金坤李鹏李宝才药学院药物制剂教研室新德里999008 沙特国王大学药学院药物制剂教研室利雅得999088 昆明理工大学生命科学与技术学院昆明650224

研究了黄腐酸(FA)作为一种的新的络合剂,与羟丙基-β-环糊精络合物(Hp-β-CD)相比,对阿司匹林(ASA)分解的影响。ASA与FA以1:0.5、1:1、1:2(物质的量比)络合,并用冷冻干燥、溶剂蒸发和喷雾干燥三种方法进行干燥。ASA-羟丙基-β-环糊精(1... 详细信息

研究了黄腐酸(FA)作为一种的新的络合剂,与羟丙基-β-环糊精络合物(Hp-β-CD)相比,对阿司匹林(ASA)分解的影响。ASA与FA以1:0.5、1:1、1:2(物质的量比)络合,并用冷冻干燥、溶剂蒸发和喷雾干燥三种方法进行干燥。ASA-羟丙基-β-环糊精(1:1)络合物通过喷雾干燥制备,并与最佳FA络合物进行比较。将所有的络合物和ASA放入贴好标签的铝塑小包中密封,在温度为40±2℃、相对湿度为75%±5%的稳定暗箱中存放120d。分别在0、30d、60d、90d和120d分析各样品的水杨酸含量。以物质的量比为1:1进行络合的ASA-FA喷雾干燥络合物中水杨酸含量为4.31%,该络合物在所有不同制备方法的络合物中具有最佳稳定性。然而,1:1的ASA-羟丙基-β-环糊精喷雾干燥络合物中测得水杨酸含量只有2.35%。与FA相比,ASA与羟丙基-β-环糊精络合,其稳定性更强。为提高阿司匹林的稳定性,对一种新型FA络合剂进行了研究。与1:1ASA-FA喷雾干燥络合物相比,ASA与羟丙基-β-环糊精1:1络合时,ASA的稳定性有显著改善。

关键词：阿司匹林络合作用黄腐酸羟丙基-β-环糊精斯拉洁特稳定性

Driving forces of continuing evolution of rotaviruses

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World Journal of Virology 2024年第2期13卷 58-70页

作者： Mohamad Saifudin Hakim Faris Muhammad Gazali Suci Ardini Widyaningsih mohammad khalid Parvez Postgraduate School of Molecular Medicine Erasmus MC-University Medical CenterRotterdam 3015GDNetherlands Viral Infection Working Group International Society of Antimicrobial ChemotherapyLondon EC4R 9ANUnited Kingdom Master Program in Biotechnology Postgraduate SchoolUniversitas Gadjah MadaYogyakarta55281Indonesia Master of Medical Sciences in Clinical Investigation Harvard Medical SchoolBostonMA 02115United States Department of Pharmacognosy College of PharmacyKing Saud UniversityRiyadh11451Saudi Arabia

Rotaviruses are non-enveloped double-stranded RNA virus that causes acute diarrheal diseases in children(<5 years).More than 90%of the global rotavirus infection in humans was caused by Rotavirus group *** infection has caused more than 200000 deaths annually and predominantly occurs in the low-income *** evolution is indicated by the strain dynamics or the emergence of the unprecedented *** major factors that drive the rotavirus evolution include the genetic shift that is caused by the reassortment mechanism,either in the intra-or the ***,other factors are also known to have an impact on rotavirus *** review discusses the structure and types,epidemiology,and evolution of *** article also reviews other supplemental factors of rotavirus evolution,such as genetic reassortment,mutation rate,glycan specificity,vaccine introduction,the host immune respo-nses,and antiviral drugs.

关键词： Rotavirus Epidemiology Evolution Reassortment Vaccine

Effect of Light Emitting Diodes (LEDs) on Growth, Mineral Composition, and Nutritional Value of Wheat & Lentil Sprouts

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Phyton-International Journal of Experimental Botany 2024年第6期93卷 1117-1128页

作者： Abdul Momin Amana Khatoon Wajahat Khan Dilsat Bozdoğan Konuşkan Muhammad Mudasar Aslam Muhammad Jamil Shafiq Ur Rehman Baber Ali Alevcan Kaplan Sana Wahab Muhammad Nauman Khan Sezai Ercisli mohammad khalid Al-Sadoon Department of Botany Kohat University of Science&TechnologyKohat26000Pakistan Department of Food Engineering Faculty of AgricultureHatay Mustafa Kemal UniversityHatay31000Türkiye Department of Botany University of Science&TechnologyBannu28100Pakistan Department of Biotechnology and Genetic Engineering Kohat University of Science&TechnologyKohat26000Pakistan Department of Biology University of HaripurKhyber Pakhtunkhwa22620Pakistan School of Science Western Sydney UniversityPenrithNew South Wales2151Australia Department of Crop and Animal Production Sason Vocational SchoolBatman UniversityBatman72060Türkiye Department of Plant Sciences Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Botany Islamia College PeshawarPeshawar25120Pakistan Department of Horticulture Agricultural FacultyAtaturk UniversityErzurum25240Türkiye HGF Agro Ata TeknokentErzurumTR-25240Türkiye Department of Zoology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

Sprouts are ready-to-eat and are recognized worldwide as functional components of the human *** advances in innovative agricultural techniques could enable an increase in the production of healthy *** use of light-emitting diode(LED)in indoor agricultural production could alter the biological feedback loop,increasing the functional beneﬁts of plant foods such as wheat and lentil sprouts and promoting the bioavailability of *** effects of white(W),red(R),and blue(B)light were investigated on the growth parameters and nutritional value of wheat and lentil *** the laboratory,seeds were sown under three different LED treat-ments:white,red,and blue light,while normal incandescent light served as a *** seed germina-tion improved by 18.34%and 12.67%for wheat and 18.34%and 12.67%for lentil sprouts under LED treatments R and B,*** increase in total soluble protein and sugar by 33.4%and 9.23%in wheat and by 31.5%and 5.87%in lentils was observed under the R LED *** C concentrations in wheat and lentils were signiﬁcantly increased by R LED compared to all other *** parameters,including potassium and sodium concentrations,were signiﬁcantly increased under red and blue light compared to the control;white light,on the other hand,signiﬁcantly decreased all these *** to the experimental data,red and blue LED light could be beneﬁcial in the production of functional wheat and lentil sprouts with high nutrient concentrations.

关键词： Growth parameters LED nutritional value sprouts total soluble proteins

High-throughput computational screening and in vitro evaluation identifies 5-(4-oxo-4H-3,1-benzoxazin-2-yl)-2-[3-(4-oxo-4H-3,1-benzoxazin-2-yl)phenyl]-1H-isoindole-1,3(2H)-dione(C3),as a novel EGFR—HER2 dual inhibitor in gastric tumors

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Oncology Research 2024年第2期32卷 251-259页

作者： MESFER AL SHAHRANI REEM GAHTANI mohammad ABOHASSAN mohammad ALSHAHRANI YASSER ALRAEY AYED DERA mohammad RAJEH ASIRI PRASANNA RAJAGOPALAN Department of Clinical Laboratory Sciences College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia

Gastric cancers are caused primarily due to the activation and amplification of the EGFR or HER2 kinases resulting in cell proliferation,adhesion,angiogenesis,and *** therapies are ineffective due to the intra-tumoral heterogeneity and concomitant genetic ***,dual inhibition strategies are recommended to increase potency and reduce *** this study,we have conducted computational high-throughput screening of the ChemBridge library followed by in vitro assays and identified novel selective inhibitors that have a dual impediment of EGFR/HER2 kinase ***-based High-throughput Virtual Screening(D-HTVS)was used to screen the whole ChemBridge small molecular library against EGFR and *** atomistic molecular dynamic simulation was conducted to understand the dynamics and stability of the protein-ligand ***/HER2 kinase enzymes,KATOIII,and Snu-5 cells were used for in vitro *** atomistic Molecular Dynamics simulations followed by solvent-based Gibbs binding free energy calculation of top molecules,identified compound C3(5-(4-oxo-4H-3,1-benzoxazin-2-yl)-2-[3-(4-oxo-4H-3,1-benzoxazin-2-yl)phenyl]-1H-isoindole-1,3(2H)-dione)to have a good affinity for both EGFR and *** predicted compound,C3,was promising with better binding energy,good binding pose,and optimum interactions with the EGFR and HER2 residues.C3 inhibited EGFR and HER2 kinases with IC50 values of 37.24 and 45.83 nM,*** GI50 values of C3 to inhibit KATOIII and Snu-5 cells were 84.76 and 48.26 nM,*** on these findings,we conclude that the identified compound C3 showed a conceivable dual inhibitory activity on EGFR/HER2 kinase,and therefore can be considered as a plausible lead-like molecule for treating gastric cancers with minimal side effects,though testing in higher models with pharmacokinetic approach is required.

关键词： Dual inhibitor Drug discovery EGFR/HER2 kinase Gastric cancer High-throughput screening

黄腐酸和羟丙基-β-环糊精对阿司匹林分解的影响比较

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黄腐酸和羟丙基-β-环糊精对阿司匹林分解的影响比较

Decoding molecular mechanisms:brain aging and Alzheimer's disease

低碳经济、绿色环保、节能减排——2010中国腐植酸行业低碳经济交流大会暨第九届全国绿色环保肥料（农药）新技术、新产品交流会

作者： mohammad khalid anwer Suraj Prakash Agarwal Asgar Ali Yasmin Sultana 崔佳丽刘建珍游金坤李鹏李宝才药学院药物制剂教研室沙特国王大学药学院药物制剂教研室

研究了黄腐酸(FA)作为一种的新的络合剂,与羟丙基-β-环糊精络合物(Hp-β-CD)相比,对阿司匹林(ASA)分解的影响。ASA与FA以1:0.5、1:1、1:2(物质的量比)络合,并用冷冻干燥、溶剂蒸发和喷雾干燥三种方法进行干燥。ASA-羟丙基-β-环糊精(1:1)络合物通过喷雾干燥制备,并与最佳FA络合物进行比较。将所有的络合物和ASA放入贴好标签的铝塑小包中密封,在温度为40±2℃、相对湿度为75%±5%的稳定暗箱中存放120d。分别在0、30d、60d、90d和120d分析各样品的水杨酸含量。以物质的量比为1:1进行络合的ASA-FA喷雾干燥络合物中水杨酸含量为4.31%,该络合物在所有不同制备方法的络合物中具有最佳稳定性。然而,1:1的ASA-羟丙基-β-环糊精喷雾干燥络合物中测得水杨酸含量只有2.35%。与FA相比,ASA与羟丙基-β-环糊精络合,其稳定性更强。为提高阿司匹林的稳定性,对一种新型FA络合剂进行了研究。与1:1 ASA-FA喷雾干燥络合物相比,ASA与羟丙基-β-环糊精1:1络合时,ASA的稳定性有显著改善。

关键词：阿司匹林络合作用黄腐酸羟丙基-β-环糊精斯拉洁特稳定性

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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