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Geospatial analysis of forest fragmentation in Uttara Kannada District, India

Forest Ecosystems 2016年第3期3卷 206-220页

作者： Ramachandra T V bharath setturu Subash Chandran Energy & Wetlands Research Group Center for Ecological Sciences（CES） Indian Institute of Science Centre for Sustainable Technologies (astra) Bangalore Karnataka 560 012 India Centre for infrastructure Sustainable Transportation and Urban Planning（CiSTUP） Indian Institute of Science Bangalore Karnataka 560 012 India

Background： Landscapes consist of heterogeneous interacting dynamic elements with complex ecological, economic and cultural attributes. These complex interactions help in the sustenance of natural resources through bio-geochemical and hydrological cycling. The ecosystem functions are altered with changes in the landscape structure, Fragmentation of large contiguous forests to small and isolated forest patches either by natural phenomena or anthropogenic activities leads to drastic changes in forest patch sizes, shape, connectivity and internal heterogeneity, which restrict the movement leading to inbreeding among Meta populations with extirpation of species. Methods： Landscape dynamics are assessed through land use analysis by way of remote sensing data acquired at different time periods. Forest fragmentation is assessed at the pixel level through computation of two indicators, i.e., Pf （the ratio of pixels that are forested to the total non-water pixels in the window） and P~ （the proportion of all adjacent （cardinal directions only） pixel pairs that include at least one forest pixel, for which both pixels are forested）. Results： Uttara Kannada District has the distinction of having the highest forest cover in Karnataka State, India. This region has been experiencing changes in its forest cover and consequent alterations in functional abilities of its ecosystem. Temporal land use analyses show the trend of deforestation, evident from the reduction of evergreen - semi evergreen forest cover from 57.31% （1979） to 32.08 % （2013） Forest fragmentation at the landscape level shows a decline of interior forests 64.42 % （1979） to 25.62 % （20] 3） and transition of non-forest categories such as crop land, plantations and built-up areas, amounting now to 47.29 %. PCA prioritized geophysical and socio variables responsible for changes in the landscape structure at local levels. Conclusion： Terrestrial forest ecosystems in Uttara Kannada District of Central Western Ghats have be

关键词： Land use dynamics Forest fraqmentation Interior forests Biodiversity Geophysical variables

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Landscape of global urban environmental resistome and its association with local socioeconomic and medical status

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Science China(Life Sciences) 2024年第6期67卷 1292-1301页

作者： Jun Wu Yige Hu Michael H Perlin David Danko Jun Lu Manuela Oliveira Johannes Werner Maria M Zambrano Maria A Sierra Olayinka O Osuolale Paweł Łabaj Nicolás Rascovan Nur Hazlin Hazrin-Chong Soojin Jang Haruo Suzuki Marina Nieto-Caballero bharath Prithiviraj Patrick K H Lee Agnieszka Chmielarczyk Anna Różańska Yongxiang Zhao Lan Wang Christopher E Mason Tieliu Shi Center for Bioinformatics and Computational Biology and the Institute of Biomedical SciencesSchool of Life SciencesEast China Normal UniversityShanghai 200241China Department of Biology Program on Disease EvolutionUniversity of LouisvilleLouisville 40292USA Weill Cornell Medicine New York 10065USA The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine New York 10065USA Department of Pulmonary Medicine Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghai 200025China i3S-Instituto de Investiga玢o e Inova玢o em Saúde Universidade do PortoPorto 4050-290Portugal Ipatimup-Instituto de Patologia e Imunologia Molecular da Universidade do Porto Porto 4200-465Portugal Departamento de Biologia Faculdade de CiênciasUniversidade do PortoPorto 4050-290Portugal High Performance and Cloud Computing Group Zentrum für Datenverarbeitung(ZDV)Eberhard Karls University of TübingenW鋍hterstra遝7672074TübingenGermany Corporación Corpogen Research Center Bogotá110311Colombia Applied Environmental Metagenomics and Infectious Diseases Research(AEMIDR) Department of Biological SciencesElizade UniversityIlara-Mokin 340271Nigeria Maopolska Centre of Biotechnology Jagiellonian UniversityKraków 30-005Poland Aix-Marseille Université Mediterranean Institute of OceanologyUniversitéde ToulonCNRSIRDUM 110Marseille 83041France Department of Biological Sciences and Biotechnology Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKM BangiSelangor Institut Pasteur Korea Seoul 13488Republic of Korea Faculty of Environment and Information Studies Keio UniversityFujisawaKanagawa 252-0882Japan University of Colorado at Boulder CivilEnvironmental and Architectural DepartmentBoulder 80303USA Brooklyn College of the City University of New York Brooklyn 11210USA School of Energy and Environment City University of Hong KongHong Kong 999077China Department of Microbiology Faculty of MedicineJagiellonian UniversityKraków 30-005Poland Biological Targeting Diagnosis and The

Antimicrobial resistance(AMR)poses a critical threat to global health and development,with environmental factors—particularly in urban areas—contributing significantly to the spread of antibiotic resistance genes(ARGs).However,most research to date has been conducted at a local level,leaving significant gaps in our understanding of the global status of antibiotic resistance in urban *** address this issue,we thoroughly analyzed a total of 86,213 ARGs detected within 4,728 metagenome samples,which were collected by the Meta SUB International Consortium involving diverse urban environments in 60 cities of 27 countries,utilizing a deep-learning based *** findings demonstrated the strong geographical specificity of urban environmental resistome,and their correlation with various local socioeconomic and medical *** also identified distinctive evolutionary patterns of ARG-related biosynthetic gene clusters(BGCs)across different countries,and discovered that the urban environment represents a rich source of novel *** study provides a comprehensive overview of the global urban environmental resistome,and fills a significant gap in our knowledge of large-scale urban antibiotic resistome analysis.

关键词： urban environment metagenome antibiotic resistance resistance diversity biosynthetic gene clusters

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Entropy generation analysis from the time-dependent quadratic combined convective flow with multiple diffusions and nonlinear thermal radiation

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Chinese Journal of Chemical Engineering 2023年第1期53卷 46-55页

作者： P.M.Patil bharath Goudar Department of Mathematics Karnatak UniversityPavate NagarDharwad 580003India Wrangler Dr.D.C.Pavate Institute of Mathematical Sciences Karnatak UniversityDharwad 580003India

Diffusions of multiple components have numerous applications such as underground water flow, pollutant movement, stratospheric warming, and food processing. Particularly, liquid hydrogen is used in the cooling process of the aeroplane. Further, liquid nitrogen can find applications in cooling equipment or electronic devices, i.e., high temperature superconducting(HTS) cables. So, herein, we have analysed the entropy generation(EG), nonlinear thermal radiation and unsteady(time-dependent) nature of the flow on quadratic combined convective flow over a permeable slender cylinder with diffusions of liquid hydrogen and nitrogen. The governing equations for flow and heat transfer characteristics are expressed in terms of nonlinear coupled partial differential equations. The solutions of these equations are attempted numerically by employing the quasilinearization technique with the implicit finite difference approximation. It is found that EG is minimum for double diffusion(liquid hydrogen and heat diffusion)than triple diffusion(diffusion of liquid hydrogen, nitrogen and heat). The enhancing values of the radiation parameter R_(d) and temperature ratio θ_(w) augment the fluid temperature for steady and unsteady cases as well as the local Nusselt number. Because, the fluid absorbs the heat energy released due to radiation, and in turn releases the heat energy from the cylinder to the surrounding surface.

关键词： Unsteady flow Entropy Radiation Quasilinearization technique Numerical analysis Quadratic combined convection

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Parkinson’s Disease Classification Using Random Forest Kerb Feature Selection

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Intelligent Automation & Soft Computing 2023年第5期36卷 1417-1433页

作者： E.bharath T.Rajagopalan Department of Computer Science and Engineering University College of EngineeringVillupuramKakupppam605103India Department of Science and Humanities University of College of EngineeringAriyalurKavanur621705India

Parkinson’s disease(PD)is a neurodegenerative disease cause by a deﬁciency of *** have identiﬁed the voice as the underlying symptom of *** vocal disorder studies provide adequate treatment and support for accurate PD *** learning(ML)models have recently helped to solve problems in the classiﬁcation of chronic *** work aims to analyze the effect of selecting features on ML efﬁciency on a voice-based PD detection *** includes PD classiﬁcation models of Random forest,decision Tree,neural network,logistic regression and support vector *** feature selection is made by RF mean-decrease in accuracy and mean-decrease in Gini *** forest kerb feature selection(RFKFS)selects only 17 features from 754 *** proposed technique uses validation metrics to assess the performance of ML *** results of the RF model with feature selection performed well among all other models with high accuracy score of 96.56%and a precision of 88.02%,a sensitivity of 98.26%,a speciﬁcity of 96.06%.The respective validation score has an Non polynomial vector(NPV)of 99.47%,a Geometric Mean(GM)of 97.15%,a Youden’s index(YI)of 94.32%,and a Matthews’s correlation method(MCC)90.84%.The proposed model is also more robust than other *** was also realised that using the RFKFS approach in the PD results in an effective and high-performing medical classiﬁer.

关键词： Parkinson’s disease machine learning healthcare random forest feature selection classiﬁcation

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Dynamic Active Noise Control of Broadband Noise in Fighter Aircraft Pilot Helmet

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Sound & Vibration 2022年第4期56卷 319-331页

作者： Y.K.bharath S.Veena Malnad College of Engineering Hassan573202India National Aerospace Laboratories Bengaluru560017India

This paper presents the development of a dynamic Active Noise Control(ANC)algorithm aimed towards redu-cingthe broadbandnoiseinside the helmet earcups ofaﬁghter aircraftpilot *** dynamicANC involves a Variable Step-Size Grifﬁths(VSSG)FxLMS algorithm to attenuate noise entering directly through helmet,a LMS based adaptive noise canceller to attenuate noise entering through the pilot microphone,and energy detectors for failure protection and optimized battery power *** algorithms are implemented on Texas Instruments’TMS320C6748 processor and are tested in a helmet ANC experimental setup.

关键词： Active noise control Variable Step-Size Grifﬁths algorithm FxLMS

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High Performance MPI over the Slingshot Interconnect

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Journal of Computer Science & Technology 2023年第1期38卷 128-145页

作者： Kawthar Shafie Khorassani Chen-Chun Chen bharath Ramesh Aamir Shafi Hari Subramoni Dhabaleswar K.Panda Department of Computer Science and Engineering The Ohio State UniversityColumbusOH 43210U.S.A.

The Slingshot interconnect designed by HPE/Cray is becoming more relevant in high-performance computing with its deployment on the upcoming exascale *** particular,it is the interconnect empowering the first exascale and highest-ranked supercomputer in the world,*** offers various features such as adaptive routing,congestion control,and isolated *** deployment of newer interconnects sparks interest related to performance,scalability,and any potential bottlenecks as they are critical elements contributing to the scalability across nodes on these *** this paper,we delve into the challenges the Slingshot interconnect poses with current state-of-the-art MPI(message passing interface)*** particular,we look at the scalability performance when using Slingshot across *** present a comprehensive evaluation using various MPI and communication libraries including Cray MPICH,Open-MPI+UCX,RCCL,and MVAPICH2 on CPUs and GPUs on the Spock system,an early access cluster deployed with Slingshot-10,AMD MI100 GPUs and AMD Epyc Rome CPUs to emulate the Frontier *** also evaluate preliminary CPU-based support of MPI libraries on the Slingshot-11 interconnect.

关键词： AMD GPU interconnect technology MPI(message passing interface) Slingshot

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Data-Driven Approach for Condition Monitoring and Improving Power Output of Photovoltaic Systems

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Computers, Materials & Continua 2023年第3期74卷 5757-5776页

作者： Nebras M.Sobahi Ahteshamul Haque V S bharath Kurukuru Md.Mottahir Alam Asif Irshad Khan Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah 21589Saudi Arabia Advance Power Electronics Research Lab Department of Electrical EngineeringJamia Millia IslamiaNew DelhiIndia Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Increasing renewable energy targets globally has raised the requirement for the efficient and profitable operation of solar photovoltaic(PV)*** light of this requirement,this paper provides a path for evaluating the operating condition and improving the power output of the PV system in a grid integrated *** achieve this,different types of faults in grid-connected PV systems(GCPVs)and their impact on the energy loss associated with the electrical network are analyzed.A data-driven approach using neural networks(NNs)is proposed to achieve root cause analysis and localize the fault to the component level in the *** localized fault condition is combined with a parallel operation of adaptive neurofuzzy inference units(ANFIUs)to develop a power mismatch-based control unit(PMCU)for improving the power output of the *** develop the proposed framework,a 10-kW single-phase GCPV is simulated for training the NN-based anomaly detection approach with 14 deviation ***,the developed algorithm is combined with the PMCU implemented with the experimental setup of *** results identified 98.2%training accuracy and 43000 observations/sec prediction speed for the trained classifier,and improved power output with reduced voltage and current harmonics for the grid-connected PV operation.

关键词： Condition monitoring anomaly detection performance evaluation fault classification optimization

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Optimal Location to Use Solar Energy in an Urban Situation

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Computers, Materials & Continua 2023年第4期75卷 815-829页

作者： Ngakan Ketut Acwin Dwijendra Indrajit Patra N.bharath Kumar Iskandar Muda Elsayed M.Tag El Din Faculty of Engineering Udayana UniversityBali80361Indonesia An Independent Researcher NIT DurgapurWest Bengal700027India Department of Electrical and Electronics Engineering Vignan’s Foundation for Science Technology and ResearchGuntur522001India Department of Doctoral Program Faculty Economic and BusinessUniversitas Sumatera UtaraMedan20222Indonesia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

This study conducted in Lima, Peru, a combination of spatial decisionmaking system and machine learning was utilized to identify potentialsolar power plant construction sites within the city. Sundial measurementsof solar radiation, precipitation, temperature, and altitude were collectedfor the study. Gene Expression Programming (GEP), which is based on theevolution of intelligent models, and Artificial Neural Networks (ANN) wereboth utilized in this investigation, and the results obtained from each werecompared. Eighty percent of the data was utilized during the training phase,while the remaining twenty percent was utilized during the testing phase. Onthe basis of the findings, it was determined that the GEP is the most suitablenetwork for predicting the location. The test state’s Nash-Sutcliffe efficiency(NSE) was 0.90, and its root-mean-square error (RMSE) was 0.04. Followingthe generation of the final map based on the results of the GEP model, itwas determined that 9.2% of the province’s study area is suitable for theconstruction of photovoltaic solar power plants, while 53.5% is acceptable and37.3% is unsuitable. The ANN model reveals that only 1.7% of the study areais suitable for the construction of photovoltaic solar power plants, while 66.8%is acceptable and 31.5% is unsuitable.

关键词： Solar energy renewable energy machine learning

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Design and applications of lattice plasmon resonances

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Nano Research 2018年第9期11卷 4423-4440页

作者： bharath Bangalore Rajeeva Linhan Lin Yuebing Zheng Materials Science and Engineering Program Department of Mechanical Engineering The University of Texas at Austin Austin Texas78712 USA

With their unique optical properties associated with the excitation of surface plasmons, metal nanoparticles （NPs） have been used in optical sensors and devices. The organization of these NPs into arrays can induce coupling effects to engineer new optical responses. In particular, lattice plasmon resonances （LPRs）, which arise from coherent interactions and coupling among NPs in periodic arrays, have shown great promise for realizing narrow linewidths, angle-dependent dispersions, and high wavelength tunability of optical spectra. By engineering the materials, shapes, sizes, and spatial arrangements of NPs within arrays, one can tune the LPR-based spectral responses and electromagnetic field distributions to deliver a multitude of improvements, including a high figure-of-merit, superior light-matter interaction, and multiband operation. In this review, we discuss recent progress in designing and applying new metal nanostructures for LPR-based applications. We conclude this review with our perspective on the future opportunities and challenges of LPR-based devices.

关键词： plasmonics,lattice plasmon resonance,nanoparticle array coupling,sensors

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Lipopolysaccharide induces and activates the Nalp3 inflammasome in the liver

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World Journal of Gastroenterology 2011年第43期17卷 4772-4778页

作者： Michal Ganz Timea Csak bharath Nath Gyongyi Szabo Department of Medicine University of Massachusetts Medical School

AIM:To examine the activation of the Nalp3 inflammasome and its downstream targets following lipopolysaccharide(LPS) -induced stimulation in the liver. METHODS:Six-to-eight-week-old C57BL/6 chow fed mice were injected intraperitoneally with 0.5μg/g bodyweight LPS and sacrificed 2,4,6,18 or 24 h later. LPS-induced liver damage was confirmed by a biochemical assay to detect alanine aminotransferase(ALT) *** determine if LPS stimulation in the liver led to activation of the inflammasome,real-time quantitative polymerase chain reaction was used to evaluate the mRNA expression of components of the Nalp3 ***-linked immunosorbent assays were used to determine the protein expression levels of several downstream targets of the Nalp3 inflammasome,including caspase-1 and two cytokine targets of caspase-1,interleukin(IL) -1βand IL-18. RESULTS:We found that LPS injection resulted in liver damage as indicated by elevated ALT *** was associated with a significant increase in both mRNA and protein levels of the proinflammatory cy-tokine tumor necrosis factor(TNF) -αin the liver,as well as increased levels of TNFs in *** showed that LPS stimulation led to upregulation of mRNA levels in the liver for all the receptor components of the inflammasome,including Nalp3,Nalp1,pannexin-1 and the adaptor molecule apoptosis-associated specklike,caspase recruitment domain-domain containing *** also found increased levels of mRNA and protein for caspase-1,a downstream target of the *** addition,LPS challenge led to increased levels of both mRNA and protein in the liver for two cytokine targets of caspase-1,IL-1βand IL-18. Interestingly,substantial baseline expression of pre-IL1βand pre-IL-18 was found in the *** and caspase-1 activation was indicated by the significant increase in the active forms of IL-1βand IL-18 after LPS stimulation. CONCLUSION:Our results show that the Nalp3 inflammasome is upregulated and activated in the

关键词：脂多糖肝脏激活诱导 mRNA表达 IL-18 酶联免疫吸附试验聚合酶链反应

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