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Ionospheric precursors of strong earthquakes observed using six GNSS stations data during continuous five years(2011-2015)

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Geodesy and Geodynamics 2023年第1期14卷 65-79页

作者： H.E.Eshkuvatov B.J.Ahmedov Y.A.Tillayev m.Arslan Tariq m.ali shah Libo Liu Ulugh Beg Astronomical Institute Astronomy St.33Tashkent 100052Uzbekistan National University of Uzbekistan University St.4Tashkent 100174Uzbekistan Institute of Fundamental and Applied Research National Research University TIIAMEKori Niyoziy 39Tashkent 100000Uzbekistan Centre for Earthquake Studies National Centre for PhysicsIslamabadPakistan Key Laboratory of Earth and Planetary Physics Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Heilongjiang mohe Observatory of Geophysics Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina

This study reports the morphological characteristics of anomalous variations in Global Navigation Satellite System Total Electron Content(GNSS-TEC) prior to the strong local earthquakes(EQ) that occurred during the period of *** have analyzed 20 earthquakes of magnitude m> 5.6.A statistical technique is implemented on the data of six GNSS stations located in Tashkent,Kitab,and maidanak in Uzbekistan,and Islamabad,multan,Quetta in *** results show continuous anomalous variations in TEC during 24 h befo re the occupancy of local *** is shown that the precursors before the occurrence of strong earthquakes,in particular of magnitude 5.7,7.7,7.5,7.8 and 7.3 are detected near Eastern Uzbekistan(26 may 2013),Southwestern Pakistan(24 September 2013),Hindukush region of Afghanistan(26 October 2015),and Central Nepal(25 April 2015) and(12 may 2015),*** ionospheric anomalies appearing before the strong earthquakes at six GNSS stations are registered in 14cases(70%) out of 20 selected *** is depicted that anomalies referred to as ionospheric precursors appeared about 1-7 days prior to the occurrence of strong earthquakes.

关键词： GNSS TEC Earthquakes Ionospheric precursors

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巴基斯坦沿海地区地震危险性分析

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地震学报 2003年第4期25卷 361-373页

作者： shahid A.Khan m.ali shah m.Qaisar 李亚琦巴基斯坦原子能委员会微震研究项目组

通过确定性和概率性方法 ,对发展迅速的巴基斯坦沿海地区进行了地震危险性评估 .根据该地区的地震构造和地质条件 ,确定了 5个地震区域的 11个断层作为该地区的潜在震源 ,计算了每个潜在震源的最大可能震级 .根据与之相关震源的最大可... 详细信息

通过确定性和概率性方法 ,对发展迅速的巴基斯坦沿海地区进行了地震危险性评估 .根据该地区的地震构造和地质条件 ,确定了 5个地震区域的 11个断层作为该地区的潜在震源 ,计算了每个潜在震源的最大可能震级 .根据与之相关震源的最大可信震级 ,计算了 7个沿海城市的峰值加速度 (PGA) .瓜达尔 (Gwadar)和奥尔马腊 (Ormara)的峰值加速度分别为 0 .2 1和 0 .2 5 g ,处于地震危险性水平较高的地区 ;杜尔伯德 (Turbat)和卡拉奇 (Karachi)位于地震危险性水平较低的地区 ,峰值加速度小于 0 .1g .同时 ,分别绘制了 5 0年和 10 0年超越概率为 10 %的PGA区划图 ,区划图的分区间隔为 0 .0 5 g .

关键词：巴基斯坦沿海地区地震危险性潜在震源断层超越概率

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Cooperative THz communication for UAVs in 6G and beyond

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Green Energy and Intelligent Transportation 2024年第1期3卷 25-31页

作者： Nazifa mustari muhammet ali Karabulut A.F.m.shahen shah Ufuk Tureli Department of Electronics and Communication Engineering Yildiz Technical UniversityTurkey Department of Electrical Electronics Engineering Faculty of Engineering and ArchitectureKafkas UniversityKarsTurkey

One of the key components of any smart city is considered to be its intelligent transportation systems(ITSs).Unmanned aerial vehicles(UAVs)are envisioned in several ITS application fields because of their autonomous operation,mobility,communication/processing capabilities,and other *** this paper,cooperative terahertz(THz)communication is proposed for flying ad hoc networks(FANETs),which is a particular kind of network made up of a collection of small UAVs linked in an ad hoc fashion and working together to accomplish high-level *** frequency spectrum for wireless communication has been expanding continuously in order to meet the demand for *** the forthcoming 6G and beyond,communications in the THz range will be vital,similar to how mmWave-band communications are currently influencing the 5G of wireless mobile *** finite state machine(FSm)of the proposed cooperative communication system for THz band is presented.A markov chain model-based analytical study is carried out,which derives relationships among ***,numerical results are provided to support the analytical study.

关键词： Cooperative mAC THz UAVs 6G

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Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

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Computers, materials & Continua 2024年第6期79卷 3585-3629页

作者： Imtiaz Ahmad Tariq Hussain Babar shah Altaf Hussain Iqtidar ali Farman ali Institute of Computer Sciences and Information Technology The University of AgriculturePeshawarPakistan School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhouChina College of Technological Innovation Zayed UniversityDubaiUnited Arab Emirates School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Department of Applied AI School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063South Korea

Numerous wireless networks have emerged that can be used for short communication ranges where the infrastructure-based networks may fail because of their installation and *** of them is a sensor network with embedded sensors working as the primary nodes,termed Wireless Sensor Networks(WSNs),in which numerous sensors are connected to at least one Base Station(BS).These sensors gather information from the environment and transmit it to a BS or gathering *** have several challenges,including throughput,energy usage,and network lifetime *** strategies have been applied to get over these *** may,therefore,be thought of as the best way to solve such ***,it is crucial to analyze effective Cluster Head(CH)selection to maximize efficiency throughput,extend the network lifetime,and minimize energy *** paper proposed an Accelerated Particle Swarm Optimization(APSO)algorithm based on the Low Energy Adaptive Clustering Hierarchy(LEACH),Neighboring Based Energy Efficient Routing(NBEER),Cooperative Energy Efficient Routing(CEER),and Cooperative Relay Neighboring Based Energy Efficient Routing(CR-NBEER)*** the help of APSO in the implementation of the WSN,the main methodology of this article has taken *** simulation findings in this study demonstrated that the suggested approach uses less energy,with respective energy consumption ranges of 0.1441 to 0.013 for 5 CH,1.003 to 0.0521 for 10 CH,and 0.1734 to 0.0911 for 15 *** sending packets ratio was also raised for all three CH selection scenarios,increasing from 659 to *** number of dead nodes likewise dropped for the given combination,falling between 71 and *** network lifetime was deemed to have risen based on the results found.A hybrid with a few valuable parameters can further improve the suggested APSO-based *** to underwater,WSN can make use of the proposed *** overall results have been evaluated and

关键词： Wireless sensor network cluster head selection low energy adaptive clustering hierarchy accelerated particle swarm optimization

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mechanistic insights toward identification and interaction of plant parasitic nematodes:A review

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Soil Ecology Letters 2024年第1期6卷 11-27页

作者： Bisma Jan ali Haider shah mudasir Ahmad Bhat Arif Tasleem Jan Ishfaq Ahmad Wani ali Asghar shah Section of microbiology Baba Ghulam Shah Badshah UniversityRajouriJ&K185234India Department of Biotechnology Baba Ghulam Shah Badshah University RajouriJ&K185234India Department of Botany Baba Ghulam Shah Badshah University RajouriJ&K185234India Department of Zoology School of Biosciences and BiotechnologyBaba Ghulam Shah Badshah University RajouriJ&K185234India

Nematode identification serves as an important param-eter to study their behaviour,importance and *** of classical morphometric based identifica-tion methods prove to be lacking due to insufficient knowledge on morphological variations among closely related *** approaches such as DNA and protein-based information,microarray,probing,sequence-based methods and others have been used to supplement morphology-based methods for nematode *** and certain protein-based nematode-associated molecular patterns(NAmPs),can be perceived by the host plants,and can initiate a signalling *** review primarily emphasizes on an updated account of different classical and modern tools used for the identification of *** we also summa-rize the mechanism of some important signalling pathways which are involved in the different plant nematode *** constitute most diverse and least studied group of soil inhabiting *** are ecologically and physiologically important,however,wide range of nematodes show harmful impact on the individuals that live within their *** parasitic nematodes(PPNs)are transparent,pseudocoelomate,free living or parasitic *** lack morphometric identification methods due to insufficient knowl-edge on morphological variations among closely related *** such,molecular approaches such as DNA and protein-based information,microarray,probing,sequence-based methods and others have been used to supplement morphology-based methods for their *** invade the defense response of different plant species,parasitic nematodes have evolved different molecular *** and certain protein-based nematode-associated molecular patterns(NAmPs),can be perceived by the host plants,and can initiate a signaling *** overcome the host confrontation and develop certain nematode feeding sites,some members can inject effectors into

关键词： nematode identification plant nematode interaction DNA fingerprinting nematode-associated molecular patterns signaling path-ways

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An asymmetrical multilevel inverter with minimum voltage stress and fewer components for photovoltaic renewable-energy system

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Clean Energy 2024年第1期8卷 1-22页

作者： Rabail memon mukhtiar Ahmed mahar Abdul Sattar Larik Syed Asif ali shah Department of Electrical Engineering Mehran University of Engineering and TechnologyJamshoroPakistan

The enhanced power quality provided by multilevel inverters(mLIs)has made them more appropriate for medium-and high-power applications,including photovoltaic ***,a prevalent limitation involves the necessity for numerous switches and increased voltage stress across these switches,consequently increasing the overall system *** address these challenges,a new 17-level asymmetrical mLI with fewer components and low voltage stress is proposed for the photovoltaic *** innovative mLI configuration has four direct current(DC)sources and 10 *** on the trinary sequence,the proposed topology uses photovoltaics with boost converters and fuzzy logic controllers as its DC *** equations are used to calculate cru-cial parameters for this proposed design,including total standing voltage per unit(TSVPU),cost function per level(CF/L),component count per level(CC/L)and voltage stress across the *** comparison is conducted by considering switches,DC sources,TSVPU,CF/L,gate driver circuits and CC/L with other existing mLI *** analysis is carried out under various conditions,encompassing different levels of irradiance,variable loads and modulation *** reduce the total harmonic distortion of the suggested topology,the phase opposition disposition approach has been *** suggested framework is simulated in mATLAB®/Simulink®.The results indicate that the proposed topology achieves a well-distributed stress profile across the switches and has CC/L of 1.23,TSVPU of 5 and CF/L of 4.58 and 5.76 with weight coefficients of 0.5 and 1.5,*** values are not-ably superior to those of existing mLI *** results demonstrate that the proposed topology maintains a consistent output at varying irradiance levels with FLCs and exhibits robust performance under variable loads and diverse modulation ***,the total harmonic distortion achieved with phase opposition disposi

关键词： asymmetrical multilevel inverter photovoltaic system renewable energy component count per level cost function per level total standing voltage per unit phase opposition disposition technique

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Linkages among leaf nutrient concentration,resorption efficiency, litter decomposition and their stoichiometry to canopy nitrogen addition and understory removal in subtropical plantation

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Ecological Processes 2024年第2期13卷 90-102页

作者： Jawad ali shah Wenfei Liu Saif Ullah Honglang Duan Fangfang Shen Yingchun Liao Guomin Huang Jianping Wu ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Institute of Biodiversity School of Ecology and Environmental Science Yunnan University Laboratory of Soil Ecology and Health in Universities of Yunnan Province Yunnan University Jiangxi Key Laboratory for Restoration of Degraded Ecosystems & Watershed Ecohydrology Nanchang Institute of Technology Key Laboratory of Forest Cultivation in Plateau mountain of Guizhou Province Institute for Forest Resources and Environment of Guizhou College of ForestryGuizhou University

Background The prevalence of understory removal and anthropogenic nitrogen(N) deposition has significantly altered the ecological processes of forest ecosystems at both regional and global scales. However, it remains a pressing challenge to understand how N deposition and understory removal affect leaf nutrient dynamics, nutrient resorption, litter decomposition, and their linkages for better managing forest ecosystems under nutrient imbalances induced by N enrichment. To address this research gap, a field manipulation experiment was carried out in a subtropical Cunninghamia lanceolata plantation with four treatments including: control(CK), canopy N addition(CN), understory removal(UR), and canopy N addition plus understory removal(CN × UR). Green and senesced leaf N and phosphorus(P) concentrations, N and P resorption efficiencies, litter decomposition, and their correlations were *** The results revealed that the average N concentrations of green early and late leaves in UR were increased by 6.61 and 18.89% compared to CK. UR had the highest whereas CN had the lowest P concentrations in green leaves across the two sampling seasons. Following this, UR, leaf type, season, and their interactions significantly affected leaf N, P, and N:P(P mposition was significantly retarded in UR(P monstrated that leaf nutrient status was significantly interconnected with leaf nutrient resorption efficiencies. In addition, leaf nutrient dynamics were strongly correlated with litter nutrients, indicating that both were *** These findings can deepen our knowledge of biogeochemical cycling and reveal contrasting nutrientacquisition strategies on N and P limitation in response to UR and CN. Considering the P limitation, it is important to note that P was resorbed more efficiently, illustrating a

关键词： Nutrient resorption Nitrogen deposition Litter decomposition Stoichiometry Understory removal Subtropical plantation

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Classification and Comprehension of Software Requirements Using Ensemble Learning

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Computers, materials & Continua 2024年第8期80卷 2839-2855页

作者： Jalil Abbas Arshad Ahmad Syed muqsit shaheed Rubia Fatima Sajid shah mohammad Elaffendi Gauhar ali School of Computer Science and Technology Anhui UniversityHefei230039China School of Computing Sciences Pak Austria FachhochschuleInstitute of Applied Sciences and TechnologyHaripur22620Pakistan Department of Computer Science and IT University of LahoreLahore55150Pakistan Department of Computer Science Emerson UniversityPunjabMultan60000Pakistan EIAS(Emerging Intelligent Autonomous Systems)Data Science Lab Prince Sultan UniversityRiyad12435Saudi Arabia

The software development process mostly depends on accurately identifying both essential and optional ***,user needs are typically expressed in free-form language,requiring significant time and human resources to translate these into clear functional and non-functional *** address this challenge,various machine learning(mL)methods have been explored to automate the understanding of these requirements,aiming to reduce time and human ***,existing techniques often struggle with complex instructions and large-scale *** our study,we introduce an innovative approach known as the Functional and Non-functional Requirements Classifier(FNRC).By combining the traditional random forest algorithm with the Accuracy Sliding Window(ASW)technique,we develop optimal sub-ensembles that surpass the initial classifier’s accuracy while using fewer *** results demonstrate that our FNRC methodology performs robustly across different datasets,achieving a balanced Precision of 75%on the PROmISE dataset and an impressive Recall of 85%on the CCHIT *** datasets consistently maintain an F-measure around 64%,highlighting FNRC’s ability to effectively balance precision and recall in diverse *** findings contribute to more accurate and efficient software development processes,increasing the probability of achieving successful project outcomes.

关键词： Ensemble learning machine learning non-functional requirements requirement engineering accuracy sliding window

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Entropy generation minimization in the Carreau nanofluid flow over a convectively heated inclined plate with quadratic thermal radiation and chemical reaction:A Stefan blowing application

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Propulsion and Power Research 2024年第2期13卷 233-244页

作者： B.Lavanya J.Girish Kumar m.Jayachandra Babu C.S.K.Raju Bander Almutairi Nehad ali shah Department of mathematics Manipal Institute of TechnologyManipal Academy of Higher EducationManipalKarnataka 576104India Department of mathematics S.V.A Government CollegeSrikalahasti 517644India Department of mathematics GITAM School of Science(GSS)GITAMBangaloreKarnatakaIndia Department of mathematics College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of mechanical Engineering Sejong UniversitySeoul 05006South Korea

Entropy analysis can help to identify the sources of entropy generation in a heat transfer process more accurately than other methods,such as energy efﬁciency *** is because entropy analysis takes into account the quality of energy as well as its ***-noﬂuids have already been shown to have superior heat transfer characteristics compared to conventionalﬂ*** blowing can further enhance the heat transfer capabilities of nano-ﬂuids by increasing the massﬂux and turbulence at the *** can be beneﬁcial in a wide range of applications,such as heat exchangers,electronic cooling,and solar energy *** convective boundary condition accounts for heat transfer effects,inﬂuencing temperature distribution and the thermal boundary *** on the direction of heat transfer,the convective boundary condition can induce cooling or heating effects on the inclined *** has practical implications for various engineering applications,such as the cooling of electronic devices or heating in industrial *** nanofluids have a wide range of potential applications in heat transfer,energy storage,drug delivery,and food *** research investigates how the presence of Stefan blowing affects the properties of Carreau nanofluid flow across a convectively heated tilted *** and mass transport phenomena are studied using quadratic thermal radiation and chemical reaction *** mathematical model for this work is based on the Buongiorno *** governing equations are converted into a system of ordinary differential equations and then solved using the bvp4c *** parameters such as the mass transfer rate can be visualized using bar *** study’s primary findings are that when the Weissenberg number increases,the velocity rises and the concentration profile declines due to Brownian *** is discovered that,when 0.5≤γ≤3(the inverse porosity parameter),the friction factor declines by 0.34001(

关键词： Thermal radiation BVP4C Stefan blowing Biot number Brownian motion Irreversibilit

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An Implementation of multiscale Line Detection and mathematical morphology for Efficient and Precise Blood Vessel Segmentation in Fundus Images

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Computers, materials & Continua 2024年第5期79卷 2565-2583页

作者： Syed Ayaz ali shah Aamir shahzad musaed Alhussein Chuan meng Goh Khursheed Aurangzeb Tong Boon Tang muhammad Awais Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad22060Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Information and Communication Technology University Tunku Abdul RehmanKampar CampusKampar31900Malaysia Centre for Intelligent Signal and Imaging Research University Teknologi PETRONASBandar Seri IskandarPerak32610Malaysia School of Computing Sciences University of East AngliaNorwichNR47TJUK

Diagnosing various diseases such as glaucoma,age-related macular degeneration,cardiovascular conditions,and diabetic retinopathy involves segmenting retinal blood *** task is particularly challenging when dealing with color fundus images due to issues like non-uniformillumination,low contrast,and variations in vessel appearance,especially in the presence of different ***,the speed of the retinal vessel segmentation system is of utmost *** the surge of now available big data,the speed of the algorithm becomes increasingly important,carrying almost equivalent weightage to the accuracy of the *** address these challenges,we present a novel approach for retinal vessel segmentation,leveraging efficient and robust techniques based on multiscale line detection and mathematical *** algorithm’s performance is evaluated on two publicly available datasets,namely the Digital Retinal Images for Vessel Extraction dataset(DRIVE)and the Structure Analysis of Retina(STARE)*** experimental results demonstrate the effectiveness of our method,withmean accuracy values of 0.9467 forDRIVE and 0.9535 for STARE datasets,aswell as sensitivity values of 0.6952 forDRIVE and 0.6809 for STARE ***,our algorithmexhibits competitive performance with state-of-the-art ***,it operates at an average speed of 3.73 s per image for DRIVE and 3.75 s for STARE *** is worth noting that these results were achieved using matlab scripts containing multiple *** suggests that the processing time can be further reduced by replacing loops with *** the proposed algorithm can be deployed in real time *** summary,our proposed system strikes a fine balance between swift computation and accuracy that is on par with the best available methods in the field.

关键词： Line detector vessel detection localization mathematical morphology image processing

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