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Comprehending drivers of land use land cover change from 1999 to 2021 in the Pithoragarh District,Kumaon Himalaya,Uttarakhand,India

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Journal of Mountain Science 2024年第7期21卷 2394-2407页

作者： Mahika PHARTIYAL sanjeev SHARMA Centre for the Study of Regional Development Jawaharlal Nehru UniversityNew Delhi 110067India

The Himalayan region has been experiencing stark impacts of climate change,demographic and livelihood pattern *** analysis of land use and land cover(LULC)change provides insights into the shifts in spatial and temporal patterns of *** changes are the combined effects of anthropogenic and natural/climatic *** present study attempts to monitor and comprehend the main drivers behind LULC changes(1999-2021)in the Himalayan region of Pithoragarh district,*** district is a border district,remotely located in the north-east region of Uttarakhand,*** study draws upon primary and secondary data sources.A total of 400 household surveys and five group discussions from 38 villages were conducted randomly to understand the climate perception of the local community and the drivers of *** imagery,CRU(Climatic Research Unit)climate data and climate perception data from the field have been used to comprehensively comprehend,analyze,and discuss the trends and reasons for LULC *** and remote sensing techniques were used to construct LULC *** multifaceted approach ensures comprehensive and corroborated *** classes were identified and formed viz-cultivation,barren,settlement,snow,and *** show that vegetation and builtup have increased whereas cultivation,barren land,and snow cover have *** study further aims to elucidate the causes behind LULC changes in the spatially heterogeneous region,distinguishing between those attributed to human activities,climate shifts,and the interconnected impacts of *** study provides a comprehensive picture of the study area and delivers a targeted understanding of local drivers and their potential remedies by offering a foundation for formulating sustainable adaptation policies in the region.

关键词： Himalayan region Land use/land cover change Anthropogenic factors Climate change Socioecological system

Nonlinear system dynamics of calcium and nitric oxide due to cell memory and superdiffusion in neurons

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Communications in Theoretical Physics 2024年第5期76卷 16-32页

作者： anand Pawar Kamal Raj Pardasani Department of Mathematics Bioinformatics and Computer ApplicationsMaulana Azad National Institute of TechnologyBhopal-462003Madhya PradeshIndia

The integer-order interdependent calcium([Ca^(2+)])and nitric oxide(NO)systems are unable to shed light on the influences of the superdiffusion and memory in triggering Brownian motion(BM)in ***,a mathematical model is constructed for the fractional-order nonlinear spatiotemporal systems of[Ca^(2+)]and NO incorporating reaction-diffusion equations in *** two-way feedback process between[Ca^(2+)]and NO systems through calcium feedback on NO production and NO feedback on calcium through cyclic guanosine monophosphate(cGMP)with plasmalemmal[Ca^(2+)]-ATPase(PMCA)was incorporated in the *** Crank–Nicholson scheme(CNS)with Grunwald approximation along spatial derivatives and L1 scheme along temporal derivatives with Gauss–Seidel(GS)iterations were *** numerical outcomes were analyzed to get insights into superdiffusion,buffer,and memory exhibiting BM of[Ca^(2+)]and NO *** conditions,events and mechanisms leading to dysfunctions in calcium and NO systems and causing different diseases like Parkinson’s were explored in neurons.

关键词： [Ca^(2+)]and nitric oxide signaling reaction-diffusion equations fractional-order systems Grunwald approximation Gauss-Seidel iterations

Numerical analysis of the return flow solar air heater(RF-SAH)with assimilation of V-type artificial roughness

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Energy and Built Environment 2024年第2期5卷 185-193页

作者： Prashant Raturi Hemlata Deolal sanjeev Kimothi Department of Mechanical Engineering Swami Rama Himalayan University Dehradun248140India Department of Mechanical Engineering DIT UniversityDehradun248001India Division of Research&Innovation Dept.of PhysicsUttaranchal University248007India

A novel design of Return Flow Solar Air Heater(RFSAH)with different arrangements of baffles especially V-Type Artificial roughness is simulated and numerically analyzed with energy balance *** enhance the effectiveness of baffles,numerous studies have been *** performance of the RFSAH is studied in terms of thermal efficiency,thermo-hydraulic efficiency,and optimization of baffle *** Thermal efficiency and thermo-hydraulic efficiency are found in RFSAH with baffle on both sides of the absorber plate and mass flow rate above 0.2kg/*** analysis of the influencing parameters is carried out and reported the best performance of the system on selective geometrical parameters(ψ=0.7,β=20%,e/H=1,p/e=0.8,α=60°).The results obtained from the present model are validated with the published experimental results and have been found in quite reasonable agreement with an average error of 16.45%.Thermal and Thermohydraulic efficiency of RFSAH with a baffle on both sides of the absorber plate is maximum among baffles below,above,and on both sides of the absorber *** is observed that the thermal efficiency of RFSAH is greater than *** proposed optimum baffles roughness is suggested to increase the air upholding time period for more efficient output.

关键词： Numerical analysis Energy Balance Equations Thermal Efficiency Return flow solar air heater V-baffles

The potential of remote sensing and GIS in urban building energy modelling

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Energy and Built Environment

Energy and Built Environment 2024年第6期5卷 957-969页

作者： Arunim anand Chirag Deb Centre for Urban Science and Engineering Indian Institute of Technology BombayMumbai 400076MaharashtraIndia School of Architecture Design and PlanningThe University of SydneyNSW 2006Australia

As the world continues to urbanize at an unprecedented rate,the energy demand in cities is *** account for over 75%of all the energy consumed in cities and are responsible for over two-thirds of the *** of energy demand in buildings is a highly integrative endeavour,bringing together the interdisciplinary fields of energy and urban studies,along with a host of technical domains namely,geography,engineering,economics,sociology,and *** the last decade,several urban building energy modelling tools(UBEMs)have been developed for estimation as well as prediction of energy demand in *** models are useful in policymaking as they can evaluate future urban energy ***,data acquisition for generating the input database for UBEM has been a major *** this review,a comprehensive assessment of the potential of remote sensing and GIS techniques for UBEM has been ***,the most common input variables of UBEM have been identified by reviewing recent publications on UBEM and then studies related to the acquisition of data corresponding to these variables have been *** than 140 research papers and review articles relevant to remote sensing and GIS applications for building level data extraction in urban areas and UBEM applications have been investigated for this *** going through level of details required for each of the input components of UBEM and studying the possibility of acquiring some of those data using remote sensing,it has been inferred that satellite remote sensing and Unmanned Aerial Vehicles(UAVs)have a strong potential in enhancing the input data space for UBEM but their applicability has been ***,the challenges of the usage of these technologies and the possible solutions have also been presented in this *** is recommended to utilise the existing methodologies of extracting information from remote sensing and GIS for UBEM,along with newer techniques such

关键词： Remote sensing GIS Urban Building Energy Modelling(UBEM) UAV Building energy demand

Numerical Analysis of Phase Change and Container Materials for Thermal Energy Storage in the Storage Tank of Solar Water Heating System

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Journal of Thermal Science 2024年第2期33卷 408-421页

作者： SINGH Shailendra anand Abhishek SHUKLA Amritanshu SHARMA Atul Non-Conventional Energy Laboratory Rajiv Gandhi Institute of Petroleum TechnologyJais Amethi229304India

This study evaluates the effectiveness of phase change materials(PCMs) inside a storage tank of warm water for solar water heating(SWH) system through the theoretical simulation based on the experimental model of *** et *** model is explained by five fundamental equations for the calculation of various parameters like the effectiveness of PCMs,the mass of hot water,total heat content,and duration of *** study simulated eleven PCMs to analyze their effectiveness like Sodium hydrogen phosphate dodecahydrate(SHPD),OM 37,N-Eicosane(NE),Lauric acid(LA),Paraffin wax(PW),OM 48,Paraffin wax C_(20-33)(PW-C20-33),Sodium acetate trihydrate(SAT),Palmitic acid(PA),Myristic acid(MA),and Stearic acid(SA).Among all PCMs,the SHPD has found the highest value of effectiveness factor of ***,it is the most recommended PCM for the storage tank of the SWH *** study also includes the melt fraction analysis of all enumerated PCMs corresponding to container materials of stainless steel,glass,aluminum mixed,tin,aluminum,and *** melt fraction analysis is performed by making a coding program in the FORTRAN programming *** the analysis,copper container material is found to have high melting rate for all PCMs so it is superior to other container materials.

关键词： theoretical model solar water heating system phase change material effectiveness factor melt fraction

PML nuclear bodies:new players in familial amyotrophic lateral sclerosis-frontotemporal dementia?

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Neural Regeneration Research 2024年第9期19卷 1875-1876页

作者： anand Goswami Serena Carra Institute of Neuropathology RWTH Aachen University HospitalAachenGermany Department of Neurology Eleanor and Lou Gehrig ALS CenterColumbia UniversityNew YorkNYUSA Department of Biomedical Metabolic and Neural SciencesUniversity of Modena and Reggio EmiliaModenaItaly

Amyotrophi c lateral s c lerosis(ALS)and frontotemporal dementia(FTD)are two closely related disorders with overlapping clinical,genetic,and neuropathological features,forming a continuous disease spectrum(Ling et al.,2013).The major pathological hallmark of ALS and FTD are the depletion from the nucleus of the RNA-binding proteins TAR DNA‐binding protein 43(TDP-43)and FUsed in Sarcoma(FUS)and their abnormal accumulation in ubiquitin-positive cytoplasmic inclusions(Ling et al.,2013).

关键词： clinical familial

Characterizing diseases using genetic and clinical variables:A data analytics approach

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Quantitative Biology 2024年第3期12卷 271-285页

作者： Madhuri Gollapalli Harsh anand Satish Mahadevan Srinivasan Engineering Department Penn State Great ValleyMalvernPennsylvaniaUSA Department of Systems and Information Engineering School of Engineering and Applied ScienceUniversity of VirginiaCharlottesvilleVirginiaUSA

Predictive analytics is crucial in precision medicine for personalized patient *** aid in precision medicine,this study identifies a subset of genetic and clinical variables that can serve as predictors for classifying diseased tissues/disease *** achieve this,experiments were performed on diseased tissues obtained from the L1000 dataset to assess differences in the functionality and predictive capabilities of genetic and clinical *** this study,the k-means technique was used for clustering the diseased tissue types,and the multinomial logistic regression(MLR)technique was applied for classifying the diseased tissue *** reduction techniques including principal component analysis and Boruta are used extensively to reduce the dimensionality of genetic and clinical *** results showed that landmark genes performed slightly better in clustering diseased tissue types compared to any random set of 978 non-landmark genes,and the difference is statistically ***,it was evident that both clinical and genetic variables were important in predicting the diseased tissue *** top three clinical predictors for predicting diseased tissue types were identified as morphology,gender,and age of ***,this study explored the possibility of using the latent representations of the clusters of landmark and non-landmark genes as predictors for an MLR *** classification models built using MLR revealed that landmark genes can serve as a subset of genetic variables and/or as a proxy for clinical *** study concludes that combining predictive analytics with dimensionality reduction effectively identifies key predictors in precision medicine,enhancing diagnostic accuracy.

关键词： clustering k-means L1000 dataset analysis landmark genes multinomial logistic regression non-landmark genes principal component analysis tissue classification

Ag-integrated mixed metallic Co-Fe-Ni-Mn hydroxide composite as advanced electrode for high-performance hybrid supercapacitors

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Journal of Energy Chemistry 2024年第1期88卷 579-591,I0013页

作者： Anki Reddy Mule Bhimanaboina Ramulu Shaik Junied Arbaz anand Kurakula Jae Su Yu Department of Electronics and Information Convergence Engineering Institute for Wearable Convergence ElectronicsKyung Hee UniversityYongin-siGyeonggi-do 17104Republic of Korea

Direct growth of redox-active noble metals and rational design of multifunctional electrochemical active materials play crucial roles in developing novel electrode materials for energy storage *** this regard,silver(Ag)has attracted great attention in the design of efficient *** by the house/building process,which means electing the right land,it lays a strong foundation and building essential columns for a complex ***,we report the construction of multifaceted heterostructure cobalt-iron hydroxide(CFOH)nanowires(NWs)@nickel cobalt manganese hydroxides and/or hydrate(NCMOH)nanosheets(NSs)on the Ag-deposited nickel foam and carbon cloth(i.e.,Ag/NF and Ag/CC)***,the formation and charge storage mechanism of Ag are described,and these contribute to good conductive and redox chemistry *** switching architectural integrity of metal and redox materials on metallic frames may significantly boost charge storage and rate performance with noticeable drop in *** as-fabricated Ag@CFOH@NCMOH/NF electrode delivered superior areal capacity value of 2081.9μA h cm^(-2)at 5 mA cm^(-2).Moreover,as-assembled hybrid cell based on NF(HC/NF)device exhibited remarkable areal capacity value of 1.82 mA h cm^(-2)at 5 mA cm^(-2)with excellent rate capability of 74.77%even at 70 mA cm^(-2)Furthermore,HC/NF device achieved maximum energy and power densities of 1.39 mW h cm^(-2)and 42.35 mW cm^(-2),*** verify practical applicability,both devices were also tested to serve as a self-charging station for various portable electronic devices.

关键词： Current collectors Redox-active silver Transition metal-hydroxides Electrochemical performance Hybrid supercapacitor

Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities:Current trends and future outlook

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Building Simulation 2024年第5期17卷 695-722页

作者： Nilabhra Mondal Prashant anand Ansar Khan Chirag Deb David Cheong Chandra Sekhar Dev Niyogi Mattheos Santamouris Department of Architecture and Regional Planning Indian Institute of Technology KharagpurKharagpurIndia Department of Geography Lalbaba CollegeUniversity of CalcuttaKolkataIndia School of Architecture Design and PlanningThe University of SydneyAustralia Department of the Built Environment National University of SingaporeSingapore Department of Geological Sciences Jackson School of GeosciencesThe University of Texas at AustinAustinUSA DepartmentofCivil Architecturaland Environmental EngineeringThe Universityof Texas at AustinAustinUSA Faculty of Built Environment University of New South WalesAustralia

Energy demand fluctuations due to low probability high impact(LPHI)micro-climatic events such as urban heat island effect(UHI)and heatwaves,pose significant challenges for urban infrastructure,particularly within urban *** short term load forecasting(STLF)of buildings in urban micro-climatic setting(UMS)is obscured by the complex interplay of surrounding morphology,micro-climate and inter-building energy *** urban building energy modelling(UBEM)approaches to provide quantitative insights about building energy consumption often neglect the synergistic impacts of micro-climate and urban morphology in short temporal *** order modelling,unavailability of rich urban datasets such as building key performance indicators for building archetypes-characterization,limit the inter-building energy dynamics consideration into *** addition,mismatch of resolutions of spatio-temporal datasets(meso to micro scale transition),LPHI events extent prediction around UMS as well as its accurate quantitative inclusion in UBEM input organization step pose another degree of *** review aims to direct attention towards an integrated-UBEM(i-UBEM)framework to capture the building load fluctuation over multi-scale spatio–temporal *** highlights usage of emerging data-driven hybrid approaches,after systematically analysing developments and limitations of recent physical,data-driven artificial intelligence and machine learning(AI-ML)based modelling *** also discusses the potential integration of google earth engine(GEE)-cloud computing platform in UBEM input organization step to(i)map the land surface temperature(LST)data(quantitative attribute implying LPHI event occurrence),(ii)manage and pre-process high-resolution spatio-temporal UBEM *** the potential of digital twin,central structed data models to integrate along UBEM workflow to reduce uncertainties related to building archetype characterizat

关键词： urban heat island(UHI) urbanmicro-climate urban morphology urban building energy modelling(UBEM) digitaltwin shorttermload forecasting(STLF) googleearthengine(GEE)