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Assessing the effectiveness of community managed forests for plant diversity conservation in Meghalaya,Northeast India

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Plant Diversity 2022年第3期44卷 243-254页

作者： Aabid Hussain Mir Kiranmay Sarma krishna.Upadhaya Department of Environmental Studies North-Eastern Hill UniversityShillong793022MeghalayaIndia University School of Environment Management Guru Gobind Singh Indraprastha UniversityDwarka 16CNew Delhi110075India Department of Basic Sciences and Social Sciences North-Eastern Hill UniversityShillong793022MeghalayaIndia

In the state Meghalaya,northeast India,>80%of the forest lands are owned by local communities and managed by traditional *** forests are under severe threats due to a number of human *** present study was conducted to assess the plant diversity and identify the community forests for priority conservation in Khasi Hills of *** explorations carried out in the 87 forests reveals the presence of 1300 plant species of which 400 are either rare,endemic or *** the different forest categories,reserve forests had the highest number of species(1190),followed by sacred forests(987 species)and village forests(786 species).Majority of the forests(56)had high-species richness,irreplaceability level(42 forests)and vulnerability level(54).In terms of area,13.8%(1666.8 ha)fall under low risk while 1855 ha under high risk *** risk zone was mostly represented by village *** area of 7661.56 ha of community forests falls under high priority category and hence calls for immediate conservation *** conservation priority map generated in the present study will help to concentrate the protection strategy to the demarcated and adjoining areas and help conservationists and planners to evolve effective strategies for conservation of the community forests.

关键词： Conservation Disturbance Endemic Rare Threatened Village forest

An assessment of population structure and regeneration status of Magnolia punduana Hk. f. & Th.(Magnoliaceae) in fragmented forests of northeast India

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Journal of Forestry Research 2020年第3期31卷 937-943页

作者： Viheno Iralu Ngakhainii Trune Pao krishna.Upadhaya Department of Environmental Studies School of Human and Environmental SciencesNorth-Eastern Hill UniversityShillong 793022India Department of Basic Sciences and Social Sciences School of TechnologyNorth-Eastern Hill UniversityShillong 793022India

The population structure and regeneration status of Magnolia punduana Hk. f. & Th., an endemic tree species of northeast India were investigated in fragmented forests in the Jarain Hills and in adjoining areas of Meghalaya state. The population structure was discontinuous in all the fragments with the absence of individuals in higher diameter classes. The number of individuals increased with the size of the fragment patches(p 105 ha). The number of seedlings and saplings were also higher in the larger fragments. Human-related disturbances had a negative impact on the species population(p<0.002). Variation in the population density in different forest patches has been attributed to fragment size, site characteristics and ongoing human disturbances. The restricted distribution of the species coupled withexploitation and habitat destruction underlines the need for its conservation.

关键词： Conservation Disturbance Fragmentation Magnolia punduana Restricted distribution

A threshold voltage model of short-channel fully-depleted recessed-source/drain(Re-S/D) SOI MOSFETs with high-k dielectric

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Chinese Physics B 2015年第10期24卷 604-611页

作者： Gopi krishna.Saramekala Sarvesh Dubey Pramod Kumar Tiwari Department of Electronics and Communication Engineering National Institute of Technology Shri Ramswaroop Memorial University

In this paper, a surface potential based threshold voltage model of fully-depleted（FD） recessed-source/drain（Re-S/D）silicon-on-insulator（SOI） metal-oxide semiconductor field-effect transistor（MOSFET） is presented while considering the effects of high-k gate-dielectric material induced fringing-field. The two-dimensional（2D） Poisson＇s equation is solved in a channel region in order to obtain the surface potential under the assumption of the parabolic potential profile in the transverse direction of the channel with appropriate boundary conditions. The accuracy of the model is verified by comparing the model＇s results with the 2D simulation results from ATLAS over a wide range of channel lengths and other parameters,including the dielectric constant of gate-dielectric material.

关键词： recessed-source/drain (Re-S/D) high-k gate-material fringing field and SCEs

Illumination-Free Clustering Using Improved Slime Mould Algorithm for Acute Lymphoblastic Leukemia Image Segmentation

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Journal of Bionic Engineering 2023年第6期20卷 2916-2934页

作者： krishna.Gopal Dhal Swarnajit Ray Sudip Barik Arunita Das Department of Computer Science and Application Midnapore College(Autonomous)Paschim MedinipurMidnaporeWest BengalIndia Department of Computer Science and Engineering Maulana Abul Kalam Azad University of TechnologyKolkataWest BengalIndia Department of Computer Science and Engineering Kalyani Government Engineering CollegeKalyaniWest BengalIndia

Partitional clustering techniques such as K-Means(KM),Fuzzy C-Means(FCM),and Rough K-Means(RKM)are very simple and effective techniques for image ***,because their initial cluster centers are randomly determined,it is often seen that certain clusters converge to local *** addition to that,pathology image segmentation is also problematic due to uneven lighting,stain,and camera settings during the microscopic image capturing ***,this study proposes an Improved Slime Mould Algorithm(ISMA)based on opposition based learning and differential evolution’s mutation strategy to perform illumination-free White Blood Cell(WBC)*** ISMA helps to overcome the local optima trapping problem of the partitional clustering techniques to some *** paper also performs a depth analysis by considering only color components of many well-known color spaces for clustering to find the effect of illumination over color pathology image *** and visual results encourage the utilization of illumination-free or color component-based clustering approaches for image ***-KM and“ab”color channels of CIELab color space provide best results with above-99%accuracy for only nucleus ***,for entire WBC segmentation,ISMA-KM and the“CbCr”color component of YCbCr color space provide the best results with an accuracy of above 99%.Furthermore,ISMA-KM and ISMA-RKM have the lowest and highest execution times,*** the other hand,ISMA provides competitive outcomes over CEC2019 benchmark test functions compared to recent well-established and efficient Nature-Inspired Optimization Algorithms(NIOAs).

关键词： Pathology image Image segmentation Clustering Color space White blood cell Optimization Swarm intelligence Fuzzy clustering Rough clustering

Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network

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Big Data Mining and Analytics 2021年第2期4卷 84-93页

作者： krishna.Kant Singh Akansha Singh Department of ECE KIET Group of InstitutionsDelhi-NCRGhaziabad 201206India Department of CSE ASETAmity University Uttar PradeshNoida 201310India

Coronavirus disease 2019 also known as COVID-19 has become a pandemic. The disease is caused by a beta coronavirus called Severe Acute Respiratory Syndrome Coronavirus 2(SARS-Co V-2). The severity of the disease can be understood by the massive number of deaths and affected patients globally. If the diagnosis is fast-paced, the disease can be controlled in a better manner. Laboratory tests are available for diagnosis, but they are bounded by available testing kits and time. The use of radiological examinations that comprise Computed Tomography(CT) can be used for the diagnosis of the disease. Specifically, chest X-Ray images can be analysed to identify the presence of COVID-19 in a patient. In this paper, an automated method for the diagnosis of COVID-19 from the chest X-Ray images is proposed. The method presents an improved depthwise convolution neural network for analysing the chest X-Ray images. Wavelet decomposition is applied to integrate multiresolution analysis in the network. The frequency sub-bands obtained from the input images are fed in the network for identifying the *** network is designed to predict the class of the input image as normal, viral pneumonia, and COVID-19. The predicted output from the model is combined with Grad-CAM visualization for diagnosis. A comparative study with the existing methods is also performed. The metrics like accuracy, sensitivity, and F1-measure are calculated for performance evaluation. The performance of the proposed method is better than the existing methodologies and thus can be used for the effective diagnosis of the disease.

关键词： coronavirus COVID-19 deep learning convolution neural network X-Ray images

Analytical methods for determination of terbinafine hydrochloride in pharmaceuticals and biological materials

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Journal of Pharmaceutical Analysis 2016年第3期6卷 137-149页

作者： Basavaiah Kanakapura Vamsi krishna.Penmatsa Department of Chemistry University of Mysore Manasagangotri Mysore 570006 Karnotaka India

Terbinafine is a new powerful antifungal agent indicated for both oral and topical treatment of myco- sessince. It is highly effective in the treatment of determatomycoses. The chemical and pharmaceutical analysis of the drug requires effective analytical methods for quality control and pharmacodynamic and pharmacokinetic studies. Ever since it was introduced as an effective antifungal agent, many methods have been developed and validated for its assay in pharmaceuticals and biological materials. This article reviews the various methods reported during the last 25 years.

关键词： Terbinafine hydrochloride Analytical methods Pharmaceuticals Biological materials

Macro level performance study of Ahmadabad bus rapid transit system:Janmarg

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Green Energy and Intelligent Transportation 2023年第3期2卷 30-52页

作者： Sanskar Pathak Ram krishna.Upadhyay Gati Shakti Vishwavidyalaya VadodaraGujarat390004India

Amidst the rapid urbanization in the country,the importance of urban public transport has been realized by the *** transport is vital to the city's economy and ensures social *** Rapid Transit System(BRTS)has emerged as an exciting way to decongest the cities,enhancing and increasing mobility and accessi-bility and promoting transit-oriented ***'s longest BRTS,Janmarg,was created with similar ***,the system faces reduced ridership and inhibited growth because of its hidden *** research aims to identify all the factors affecting ridership,accessibility,and inhibiting the system's growth even after having sufficient *** also aims to quantitatively determine whether Janmarg could achieve its establishment's objectives on the city transportation system after thirteen years of the successful implementation of the *** research methodology used in this work combines primary and secondary *** factors are responsible for preventing Janmarg from achieving its objectives and utilizing its full potential are determined and recommended ways to utilize adversities *** show that this study endorses reducing ambiguities and a way forward for making a sustainable transportation system.

关键词： Janmarg Ridership Travel mode Passenger behavior

Advanced diagnostics for pancreatic cysts: Confocal endomicroscopy and molecular analysis

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World Journal of Gastroenterology 2019年第22期25卷 2734-2742页

作者： Claire Durkin Somashekar G krishna Division of Gastroenterology Hepatology and NutritionThe Ohio State University College of Medicine

Technological advances and the widespread use of medical imaging have led to an increase in the identification of pancreatic cysts in patients who undergo crosssectional imaging. Current methods for the diagnosis and risk-stratification of pancreatic cysts are suboptimal, resulting in both unnecessary surgical resection and overlooked cases of neoplasia. Accurate diagnosis is crucial for guiding how a pancreatic cyst is managed, whether with surveillance for low-risk lesions or surgical resection for high-risk lesions. This review aims to summarize the current literature on confocal endomicroscopy and cyst fluid molecular analysis for the evaluation of pancreatic cysts. These recent technologies are promising adjuncts to existing approaches with the potential to improve diagnostic accuracy and ultimately patient outcomes.

关键词： Pancreatic cysts Confocal endomicroscopy Molecular analysis Molecular biomarkers Pancreatic cancer

Synergistic and Antisynergistic Intracrystalline Diffusional Influences on Mixture Separations in Fixed-Bed Adsorbers

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Precision Chemistry 2023年第2期1卷 83-93页

作者： Rajamani krishna Van’t Hoff Institute for Molecular Sciences University of Amsterdam Science Park9041098

Separations of mixtures in fixed-bed adsorbers are influenced by factors such as(1)selectivity of adsorption,Sads,(2)diffusional time constants,Đi/rc 2,and(3)diffusion selectivity,Đ1/Đ*** synergistic separations,intracrystalline diffusion of guest molecules serves to enhance the selectivities dictated by thermodynamics of mixture *** antisynergistic separations,intracrystalline diffusion serves to reverse the hierarchy of selectivities dictated by adsorption *** both scenarios,the productivities of the desired product in fixed-bed operations are crucially dependent on diffusional time constants,Đi/rc 2;these need to be sufficiently low in order for diffusional influences to be ***,the ratioĐ1/Đ2 should be large enough for manifestation of synergistic or antisynergistic *** synergistic and antisynergistic separations have two common,distinguishing ***,for transient uptake within crystals,the more mobile component attains supraequilibrium loadings during the initial stages of the *** overshoots,signifying uphill diffusion,are engendered by the cross-coefficientsΓij(i≠j)of thermodynamic correction ***,the component molar loadings,plotted in composition space,follow serpentine equilibration *** cross-coefficients are neglected,no overshoots in the loadings of the more mobile component are experienced,and the component loadings follow monotonous equilibration *** important takeaway message is that the modeling of mixture separations in fixed-bed adsorbers requires the use of the Maxwell−Stefan equations describing mixture diffusion employing chemical potential gradients as driving forces.

关键词： kinetic separations transient uptake microporous crystalline adsorbents Maxwell−Stefan equations thermodynamic coupling uphill diffusion transient breakthrough fixed-bed adsorber