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Ionotropic receptors mediate olfactory learning and memory in Drosophila

Insect Science 2024年第4期31卷 1249-1269页

作者： Md Zeeshan Ali Anushree Aarif ahsan Mohammad Shamsul Ola Rizwanul Haque Jawaid ahsan Department of Biotechnology Central University of South BiharGayaBiharIndia Department of Radiation Oncology University of MichiganAnn ArborMichiganUSA Department of Biochemistry College of ScienceKing Saud UniversityRiyadhSaudi Arabia

Phenylacetaldehyde(PAH),an aromatic compound,is present in a diverse range of fruits including overripe bananas and prickly pear cactus,the two major host fruits for Drosophila *** acts as a potent ligand for the ionotropic receptor 84a(IR84a)in the adult fruit fly and it is detected by the IR84a/IR8a heterotetrameric *** role in the male courtship behavior through IR84a as an environmental aphrodisiac is of additional *** ***,two distinct kinds of olfactory receptors,that is,odorant receptors(ORs)and ionotropic receptors(IRs),perceive the odorant *** display unique structural,molecular,and functional characteristics in addition to having different evolutionary ***,olfactory cues detected by the ORs such as ethyl acetate,1-butanol,isoamyl acetate,1-octanol,4-methylcyclohexanol,*** as aliphatic esters and alcohols have been employed in olfactory classical conditioning using fruit *** underlines the participation of OR-activated olfactory pathways in learning and memory *** study elucidates that likewise ethyl acetate(EA)(an OR-responsive odorant),PAH(an IR-responsive aromatic compound)too can form learning and memory when associated with an appetitive gustatory *** association of PAH with sucrose(PAH/SUC)led to learning and formation of the long-term memory(LTM).Additionally,the Orco^(1),Ir84a^(MI00501),and Ir8a^(1)mutant flies were used to confirm the exclusive participation of the IR84a/IR8a complex in PAH/SUC olfactory associative *** results highlight the involvement of IRs via an IR-activated pathway in facilitating robust olfactory behavior.

关键词： appetitive conditioning Drosophila melanogaster ethyl acetate ionotropic receptors learning and memory phenylacetaldehyde

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Robust design of sliding mode control for airship trajectory tracking with uncertainty and disturbance estimation

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Journal of Systems Engineering and Electronics 2024年第1期35卷 242-258页

作者： WASIM Muhammad ALI ahsan CHOUDHRY Mohammad Ahmad SHAIKH Inam Ul Hasan SALEEM Faisal Department of Aeronautics and Astronautics Engineering Institute of Space TechnologyIslamabad 44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyTaxila 47080Pakistan Department of Measurements and Control Systems Silesian University of TechnologyGliwice 44-101Poland The Joint Doctoral School Silesian University of TechnologyGliwice 44-100Poland

The robotic airship can provide a promising aerostatic platform for many potential *** applications require a precise autonomous trajectory tracking control for *** has a nonlinear and uncertain *** is prone to wind disturbances that offer a challenge for a trajectory tracking control *** paper addresses the airship trajectory tracking problem having time varying reference path.A lumped parameter estimation approach under model uncertainties and wind disturbances is opted against distributed *** uses extended Kalman filter(EKF)for uncertainty and disturbance *** estimated parameters are used by sliding mode controller(SMC)for ultimate control of airship trajectory *** comprehensive algorithm,EKF based SMC(ESMC),is used as a robust solution to track airship *** proposed estimator provides the estimates of wind disturbances as well as model uncertainty due to the mass matrix variations and aerodynamic model *** stability and convergence of the proposed method are investigated using the Lyapunov stability *** simulation results show that the proposed method efficiently tracks the desired *** method solves the stability,convergence,and chattering problem of SMC under model uncertainties and wind disturbances.

关键词： airship chattering extended Kalman filter(EKF) model uncertainties estimation sliding mode controller(SMC)

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Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1729-1755页

作者： Awais Khan Chomyong Kim Jung-Yeon Kim ahsan Aziz Yunyoung Nam Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea ICT Convergence Research Center Soonchunhyang UniversityAsan31538Korea Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang UniversityAsan31538Korea

Sleep posture surveillance is crucial for patient comfort,yet current systems face difficulties in providing compre-hensive studies due to the obstruction caused by *** posture assessment remains challenging because of the complex nature of the human body and variations in sleep ***,this study introduces an innovative method utilizing RGB and thermal cameras for comprehensive posture classification,thereby enhancing the analysis of body position and *** method begins by capturing a dataset of sleep postures in the form of videos using RGB and thermal cameras,which depict six commonly adopted postures:supine,left log,right log,prone head,prone left,and prone *** study involves 10 participants under two conditions:with and without ***,the database is normalized into a video *** subsequent step entails training a fine-tuned,pretrained Visual Geometry Group(VGG16)and ResNet50 *** the third phase,the extracted features are utilized for *** fourth step of the proposed approach employs a serial fusion technique based on the normal distribution to merge the vectors derived from both the RGB and thermal ***,the fused vectors are passed to machine learning classifiers for final *** dataset,which includes human sleep postures used in this study’s experiments,achieved a 96.7%accuracy rate using the Quadratic Support Vector Machine(QSVM)without the ***,the Linear SVM,when utilized with a blanket,attained an accuracy of 96%.When normal distribution serial fusion was applied to the blanket features,it resulted in a remarkable average accuracy of 99%.

关键词： Human sleep posture VGG16 deep learning ResNet50 fusion machine learning

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Advances in Zika virus vaccines and therapeutics:A systematic review

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Asian Pacific Journal of Tropical Medicine 2024年第3期17卷 97-109页

作者： Shiza Malik Khalid Muhammad Omar ahsan Muhammad Tahir Khan Ranjit Sah Yasir Waheed Bridging Health Foundation Rawalpindi 46000Pakistan Department of Biology College of SciencesUAE University15551Al AinUnited Arab Emirates Department of Medicine Foundation University Medical CollegeFoundation University IslamabadIslamabad 44000Pakistan INTI International University Persiaran Perdana BBN Putra Nilai71800 NilaiNegeri SembilanMalaysia Institute of Molecular Biology and Biotechnology the University of LahoreKM Defence RoadLahore 58810Pakistan Zhongjing Research and Industrialization Institute of Chinese Medicine Zhongguancun Scientific ParkNanyang 473006China Department of Microbiology Tribhuvan University Teaching HospitalInstitute of MedicineKathmandu 44600Nepal Department of Microbiology Dr.D.Y.Patil Medical CollegeHospital and Research CentreDr.D.Y.Patil VidyapeethPune 411018MaharashtraIndia Department of Public Health Dentistry Dr.D.Y.Patil Dental College and HospitalDr.D.Y.Patil VidyapeethPune 411018MaharashtraIndia Gilbert and Rose-Marie Chagoury School of Medicine Lebanese American UniversityByblos 1401Lebanon

Zika virus(ZIKV)is the causative agent of a viral infection that causes neurological complications in newborns and adults *** wide transmission route and alarming spread rates are of great concern to the scientific *** trials have been conducted to develop treatment options for ZIKV *** review highlights the latest developments in the fields of vaccinology and pharmaceuticals developments for ZIKV infection.A systematic and comprehensive approach was used to gather relevant and up-to-date data so that inferences could be made about the gaps in therapeutic *** results indicate that several therapeutic interventions are being tested against ZIKV infection,such as DNA vaccines,subunit vaccines,live-attenuated vaccines,virus-vector-based vaccines,inactivated vaccines,virus-like particles,and mRNA-based *** addition,approved anti-ZIKV drugs that can reduce the global burden are *** many vaccine candidates for ZIKV are at different stages of development,none of them have received Food and Drug Authority approval for use up to *** issue of side effects associated with these drugs in vulnerable newborns and pregnant women is a major obstacle in the therapeutic pathway.

关键词： Zika virus Infection Therapeutics Antiviral agents Vaccines Therapies Treatment Novel therapeutic Clinical management

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Outsmarting Android Malware with Cutting-Edge Feature Engineering and Machine Learning Techniques

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Computers, Materials & Continua 2024年第4期79卷 651-673页

作者： ahsan Wajahat Jingsha He Nafei Zhu Tariq Mahmood Tanzila Saba Amjad Rehman Khan Faten S.A.lamri Faculty of Information Technology Beijing University of TechnologyBeijing100124China Artificial Intelligence and Data Analytics(AIDA)Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Information Sciences University of EducationVehari CampusVehari61100Pakistan Department of Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

The growing usage of Android smartphones has led to a significant rise in incidents of Android malware andprivacy *** escalating security concern necessitates the development of advanced technologies capableof automatically detecting andmitigatingmalicious activities in Android applications(apps).Such technologies arecrucial for safeguarding user data and maintaining the integrity of mobile devices in an increasingly digital *** methods employed to detect sensitive data leaks in Android apps are hampered by two major limitationsthey require substantial computational resources and are prone to a high frequency of false *** meansthat while attempting to identify security breaches,these methods often consume considerable processing powerand mistakenly flag benign activities as malicious,leading to inefficiencies and reduced reliability in *** proposed approach includes a data preprocessing step that removes duplicate samples,managesunbalanced datasets,corrects inconsistencies,and imputes missing values to ensure data *** Minimaxmethod is then used to normalize numerical data,followed by feature vector extraction using the Gain ratio andChi-squared test to identify and extract the most significant characteristics using an appropriate prediction *** study focuses on extracting a subset of attributes best suited for the task and recommending a predictivemodel based on domain expert *** proposed method is evaluated using Drebin and TUANDROMDdatasets containing 15,036 and 4,464 benign and malicious samples,*** empirical result shows thatthe RandomForest(RF)and Support VectorMachine(SVC)classifiers achieved impressive accuracy rates of 98.9%and 98.8%,respectively,in detecting unknown Androidmalware.A sensitivity analysis experiment was also carriedout on all three ML-based classifiers based on MAE,MSE,R2,and sensitivity parameters,resulting in a flawlessperformance for both *** app

关键词： Android malware detection machine learning SVC K-Nearest Neighbors(KNN) RF

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Does environmental policy stringency alter the natural resourcesemissions nexus?Evidence from G-7 countries

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Geoscience Frontiers 2024年第5期15卷 454-466页

作者： Roni Bhowmik Arshian Sharif ahsan Anwar Qasim Raza Syed Phan The Cong Ngo Ngan Ha School of Business Guangdong University of Foreign StudiesGuangdongPeople’s Republic of China Faculty of Business&Entrepreneurship Daffodil International UniversityDhakaBangladesh Lancashire School of Buiness and Enterprise University of Central LancashirePrestonUnited Kingdom Department of Economics and Finance Sunway Business SchoolSunway UniversitySubang JayaMalaysia Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon University of Economics and Human Sciences in Warsaw WarsawPoland College of International Studies Korea UniversitySeoulSouth Korea Centre for Business Informatics and Industrial Management(CBIIM) UCSI Graduate Business SchoolUCSI UniversityKuala LumpurMalaysia European University of Lefke LefkeNorthern CyprusTR-10 MersinTurkiye Universiti Sains Malaysia Malaysia Department of Business Administration ILMA UniversityKarachiPakistan Faculty of Economics Thuongmai UniversityHanoiViet Nam

Natural resource management is indispensable keeping in view their positive economic impacts as well as their detrimental environmental *** achieve certain SDGs,it is inevitable to manage natural resources through effective policies that help to inhibit adverse environmental *** on this approach,the current empirical analysis aims to probe whether environmental policy stringency intensifies,meagres,and/or halts the abysmal environmental impact of natural resources in G-7 countries(United Kingdom,United States,Canada,Italy,France,Japan,and Germany)for the period from 1990 to *** that end,we rely on the second-generation panel data approaches and panel quantile *** outcomes reveal that natural resources increase carbon dioxide emission whereas the synergy of natural resources and environmental policy stringency plunges emissions across the *** findings suggest adoption of a strict environmental policy for attaining the targets of SGD-08(economic growth),SDG-09(innovations),SDG-11(sustainable cities),SDG-12(responsible consumption of natural resources),and SDG-13(climate action).

关键词： Environmental policy stringency Natural resources CO_(2)emissions G-7 countries

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Heavy metal contamination and health risk assessment of road dust from landfills in Dhaka-Narayanganj, Bangladesh

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Emerging Contaminants 2024年第1期10卷 117-125页

作者： Mrittika Chakraborty Md Masudur Rahman Rahat Tasrina Rabia Choudhury Refayat Nigar Guorui Liu ahsan Habib Department of Chemistry University of DhakaDhaka1000Bangladesh Analytical Chemistry Laboratory Chemistry DivisionAtomic Energy Centre Dhaka Bangladesh Atomic Energy CommissionDhaka1000Bangladesh State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental ScienecsChinese Academy of SciencesBeijing100085China

In the recent years,air pollution has become an alarming issue for human health in many rapidly growing megacities including Dhaka and ***,pollution status and health risk have been assessed by the road dusts collected from landfills in Dhaka and Narayanganj through determination of heavy metals including Pb,Cd,Cr,As,Cu,Ni,Zn and Mn using atomic absorption *** collected dust samples have been grouped into three sizes,for example,150,75 and<75μm,to assess the degree of heavy metal accumulation in the dust *** dust particles were accumulated with high concentrations of Pb and As at Matuail landfills,whereas Cd,Cr,Zn,and Mn concentrations were highest at Narayanganj *** finer particles,for example 75μm,accumulated substantial concentrations of heavy *** index and pollution load index(PLI)results revealed that all of the sites were deteriorated by Pb,Cd,Cu,Zn and *** results exhibited that the quality of the Matuail landfill area was severely *** terms of non-carcinogenic health risk,the values of hazard quotient for ingestion were greater than those for inhalation and dermal *** adult groups,hazard index values for the Matuail landfills and medical waste incineration sites were greater than 1,while for the children groups,the values for the same areas,including the Narayanganj landfills,were also larger than *** values were at least one order of magnitude higher for the children groups than for the adult *** the results,it would be reasonable to draw the conclusion that non-carcinogenic health risks for children may be more prevalent in the relevant areas.

关键词： Road dusts Heavy metals Landfills Bangladesh Degree of accumulation Health risk assessment

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A Robust Method of Bipolar Mental Illness Detection from Facial Micro Expressions Using Machine Learning Methods

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Intelligent Automation & Soft Computing 2024年第1期39卷 57-71页

作者： Ghulam Gilanie Sana Cheema Akkasha Latif AnumSaher Muhammad ahsan Hafeez Ullah Diya Oommen Department of Artificial Intelligence Faculty of ComputingThe Islamia University of BahawalpurBahawalpur63100Pakistan Biophotonics Imaging Techniques Laboratory Institute of PhysicsThe Islamia University of BahawalpurBahawalpur63100Pakistan West High School Salt Lake CityUT84103USA

Bipolar disorder is a serious mental condition that may be caused by any kind of stress or emotional upset experienced by the *** affects a large percentage of people globally,who fluctuate between depression and mania,or vice versa.A pleasant or unpleasant mood is more than a reflection of a state of ***,it is a difficult task to analyze through physical examination due to a large patient-psychiatrist ratio,so automated procedures are the best options to diagnose and verify the severity of *** this research work,facial microexpressions have been used for bipolar detection using the proposed Convolutional Neural Network(CNN)-based *** Action Coding System(FACS)is used to extract micro-expressions called Action Units(AUs)connected with sad,happy,and angry *** have been conducted on a dataset collected from Bahawal Victoria Hospital,Bahawalpur,Pakistan,Using the Patient Health Questionnaire-15(PHQ-15)to infer a patient’s mental *** experimental results showed a validation accuracy of 98.99%for the proposed CNN modelwhile classification through extracted featuresUsing SupportVectorMachines(SVM),K-NearestNeighbour(KNN),and Decision Tree(DT)obtained 99.9%,98.7%,and 98.9%accuracy,***,the outcomes demonstrated the stated method’s superiority over the current best practices.

关键词： Bipolar mental illness detection facial micro-expressions facial landmarked images

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Screening legacy and emerging organic pollutants in the contaminated soil of Dhaka,Bangladesh

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Emerging Contaminants 2024年第3期10卷 343-353页

作者： Refayat Nigar Shizhen Zhao Xin Liu Huanfang Huang Lele Tian Yuwei Xiao ahsan Habib Gan Zhang State Key Laboratory of Organic Geochemistry Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou510640China Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization Guangzhou510640China Anti-Drug Technology Center of Guangdong Province and National Anti-Drug Laboratory Guangdong Regional Center Guangzhou510230China State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control South China Institute of Environmental SciencesMinistry of Ecology and EnvironmentGuangzhou510530China Department of Chemistry University of DhakaDhaka1000Bangladesh University of Chinese Academy of Sciences Beijing100049China

The current understanding of the legacy and emerging organic pollutants in the soil of Bangladesh remains *** disposal practices,particularly in e-waste,landfills,and industrial operations,may lead to the pervasive presence of persistent organic pollutants(POPs)and polycyclic aromatic hydrocarbons(PAHs)in the *** study aimed to systematically investigate the concentrations,sources,and risk assessment of halogenated flame retardants(HFRs),polychlorinated biphenyls(PCBs),polychlorinated naphthalenes(PCNs),organochlorine pesticides(OCPs),chlorinated paraffins(CPs),and PAHs in the contaminated soil of Dhaka's dumpsites,e-waste,and industrial areas collected in *** total concentration of investigated pollutants averaged at 4790±4040 ng g^(-1)dw,with the following order:P44CPs(4110±4140 ng g^(-1)dw)>P16PAHs(422±491 ng g^(-1)dw)>P16HFRs(190±538 ng g^(-1)dw)>P209PCBs(43.5±73.5 ng g^(-1)dw)>P50PCNs(17.7±21.0 ng g^(-1)dw)>P27OCPs(9.41±9.61 ng g^(-1)dw).The e-waste site exhibited the highest total concentration of the target pollutants,reaching 12,700 ng g1 *** were the predominant contributors,accounting for averages of 81.8%,70.5%,and 68.5%to waste landfills,e-waste,and industrial sites,respectively.A comprehensive analysis of 209 PCB congeners revealed their primary origin from Aroclor PCBs,with minor contributions from unintentionally produced *** highest incremental lifetime carcinogenic risk(ILCR)occurred in e-waste sites,contributed by dioxin-like PCBs,with a maximum value of 5.9×10^(-5)for adults,exceeding the limit 1.0×10^(-6)set by the *** non-carcinogenic hazard quotients(HQs)were much lower,suggesting no significant risk from the investigated *** findings highlight the importance of proper waste management and regulated e-waste recycling to mitigate potential hazardous risks to the Bangladeshi population.

关键词： Persistent organic pollutants Polycyclic aromatic hydrocarbons Chlorinated paraffins Polychlorinated biphenyls Risk assessment Contaminated soil Bangladesh

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基因组修饰提高油菜非生物胁迫耐受性及应对气候变化

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浙江大学学报（农业与生命科学版） 2024年第2期50卷 280-294页

作者：黄倩 Muhammad ahsan FAROOQ 张康妮 ahsan AYYAZ 万光龙斯燕琼 Fakhir HANNAN 周伟军浙江大学农业与生物技术学院浙江杭州310058 农业农村部光谱检测重点实验室浙江杭州310058 诸暨市东白缘生态农业科技有限公司浙江绍兴311800

当前农业面临多重挑战,其中迫切需要提升产量以满足不断增长的人口需求。盐碱、干旱和极端温度等非生物胁迫是影响植物生长发育和产量的关键因素。油菜作为全球主要的油料作物,是食用植物油、生物柴油和动物饲料的重要来源,研究其遗传... 详细信息

当前农业面临多重挑战,其中迫切需要提升产量以满足不断增长的人口需求。盐碱、干旱和极端温度等非生物胁迫是影响植物生长发育和产量的关键因素。油菜作为全球主要的油料作物,是食用植物油、生物柴油和动物饲料的重要来源,研究其遗传变异与生物学特性对于培育能够适应不同环境条件的新品种(基因型)至关重要。本文对近年来国内外油菜抗逆基因的相关研究进展进行了综述,重点总结了新兴分子育种工具和技术,包括全基因组关联分析、基因编辑等在油菜抗逆基因研究中应用的技术,以期为油菜高产抗逆基因的挖掘以及分子育种提供研究基础与技术支撑。

关键词：油菜遗传变异非生物胁迫株型结构基因组改良

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