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Genetic variability and trait association analysis in linseed(Linum usitatissimum L.)for yield and related traits

Oil Crop Science 2024年第3期9卷 151-159页

作者： Sandeep Kumar Yadav Neha Singh hemant Kumar Yadav CSIr-National Botanical research Institute Rana Pratap MargLucknow226001UPIndia Academy of Scientific and Innovative research(AcSIr) Ghaziabad201002India State Planning Commission LucknowUPIndia

Diversity information mining about a crop for different attributes is an essential step for effective breeding *** present investigation evaluates the quantum of genetic variability and determines the relationship among the important agro-economic traits based on two years of phenotypic data of 210 accessions of *** traits,capsule weight per plant,capsule per plant,husk weight per plant,and seed weight per plant exhibited comparatively higher genetic coefficient of variation(GCV)and phenotypic coefficient of variation(PCV).In contrast,oil content and seed per capsule exhibited a lower *** high magnitude of broad sense heritability was observed for all traits except seeds per capsule and husk weight per *** trait,capsules per plant,plant height,and days to 50%flowering showed high genetic advance coupled with high *** cluster analysis grouped 210 accessions into six distinct *** of 210,144(68.57%)accessions were grouped into three clusters(I,II,and III),in which cluster-III was the largest,containing 64 accessions followed by cluster II and *** highest inter-cluster distance was observed between clusters-I and V(127.85),while the lowest was between clusters-II and IV(27.09).The positive correlation of capsule weight per plant with the seed weight per plant and a negative correlation with the days to 50%flowering indicates that high yielding linseed varieties with early flowering/maturity could be developed through direct and indirect ***,seed yield and oil content could be enhanced together as indicated by ghe positive association among these two important *** this study,high yielding accessions with moderate to high oil content such as GP36,GP31,GP14,GP54,GP26,GP24,GP34,GP21,GP37 and GP27 and early flowering(less than 70 days)accessions such as GP2,GP26,GP27,CG33,CG44,CG42,CG132,and CG31 identified as potential genetic materials that could be exploited for developing early matu

关键词： Linseed Genetic variability Heritability Genetic advance PCA Dendrogram

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Multimodality Medical Image Fusion Based on Pixel Significance with Edge-Preserving Processing for Clinical Applications

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Computers, Materials & Continua 2024年第3期78卷 4317-4342页

作者： Bhawna Goyal Ayush Dogra Dawa Chyophel Lepcha rajesh Singh hemant Sharma Ahmed Alkhayyat Manob Jyoti Saikia Department of ECE and UCrD Chandigarh UniversityMohaliPunjab140413India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India Department of ECE Uttaranchal Institute of TechnologyUttaranchal UniversityDehradun248007India IES College of Technology IES UniversityBhopal462044India College of Technical Engineering The Islamic UniversityNajaf54001Iraq Department of Electrical Engineering University of North FloridaJacksonvilleFL32224USA

Multimodal medical image fusion has attained immense popularity in recent years due to its robust technology for clinical *** fuses multiple images into a single image to improve the quality of images by retaining significant information and aiding diagnostic practitioners in diagnosing and treating many ***,recent image fusion techniques have encountered several challenges,including fusion artifacts,algorithm complexity,and high computing *** solve these problems,this study presents a novel medical image fusion strategy by combining the benefits of pixel significance with edge-preserving processing to achieve the best fusion ***,the method employs a cross-bilateral filter(CBF)that utilizes one image to determine the kernel and the other for filtering,and vice versa,by considering both geometric closeness and the gray-level similarities of neighboring pixels of the images without smoothing *** outputs of CBF are then subtracted from the original images to obtain detailed *** further proposes to use edge-preserving processing that combines linear lowpass filtering with a non-linear technique that enables the selection of relevant regions in detailed images while maintaining structural *** regions are selected using morphologically processed linear filter residuals to identify the significant regions with high-amplitude edges and adequate *** outputs of low-pass filtering are fused with meaningfully restored regions to reconstruct the original shape of the *** addition,weight computations are performed using these reconstructed images,and these weights are then fused with the original input images to produce a final fusion result by estimating the strength of horizontal and vertical *** standard quality evaluation metrics with complementary properties are used for comparison with existing,well-known algorithms objectively to validate the fusion *** results from th

关键词： Image fusion fractal data analysis biomedical diseases research multiresolution analysis numerical analysis

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Software Defect Prediction Using Hybrid Machine Learning Techniques: A Comparative Study

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Journal of Software Engineering and Applications 2024年第4期17卷 155-171页

作者： hemant Kumar Vipin Saxena Department of Computer Science Babasaheb Bhimrao Ambedkar University Lucknow India

When a customer uses the software, then it is possible to occur defects that can be removed in the updated versions of the software. Hence, in the present work, a robust examination of cross-project software defect prediction is elaborated through an innovative hybrid machine learning framework. The proposed technique combines an advanced deep neural network architecture with ensemble models such as Support Vector Machine (SVM), random Forest (rF), and XGBoost. The study evaluates the performance by considering multiple software projects like CM1, JM1, KC1, and PC1 using datasets from the PrOMISE Software Engineering repository. The three hybrid models that are compared are Hybrid Model-1 (SVM, randomForest, XGBoost, Neural Network), Hybrid Model-2 (GradientBoosting, DecisionTree, Logisticregression, Neural Network), and Hybrid Model-3 (KNeighbors, GaussianNB, Support Vector Classification (SVC), Neural Network), and the Hybrid Model 3 surpasses the others in terms of recall, F1-score, accuracy, rOC AUC, and precision. The presented work offers valuable insights into the effectiveness of hybrid techniques for cross-project defect prediction, providing a comparative perspective on early defect identification and mitigation strategies. .

关键词： Defect Prediction Hybrid Techniques Ensemble Models Machine Learning Neural Network

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HV Process Model of Software Development

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Journal of Software Engineering and Applications 2024年第7期17卷 553-570页

作者： hemant Kumar Vipin Saxena Department of Computer Science Babasaheb Bhimrao Ambedkar University Lucknow India

Software Development Life Cycle (SDLC) is one of the major ingredients for the development of efficient software systems within a time frame and low-cost involvement. From the literature, it is evident that there are various kinds of process models that are used by the software industries for the development of small, medium and long-term software projects, but many of them do not cover risk management. It is quite obvious that the improper selection of the software development process model leads to failure of the software products as it is time bound activity. In the present work, a new software development process model is proposed which covers the risks at any stage of the development of the software product. The model is named a hemant-Vipin (HV) process model and may be helpful for the software industries for development of the efficient software products and timely delivery at the end of the client. The efficiency of the HV process model is observed by considering various kinds of factors like requirement clarity, user feedback, change agility, predictability, risk identification, practical implementation, customer satisfaction, incremental development, use of ready-made components, quick design, resource organization and many more and found through a case study that the presented approach covers many of parameters in comparison of the existing process models. .

关键词： Software Process Model Software Development Software Engineering Software risk Management and Software Quality

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Quantification of Structurally Alert Mutagenic Impurities in Meropenem Trihydrate Drug Substance by Liquid Chromatography with High resolution Mass Spectrometer (LC-HrMS)

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American Journal of Analytical Chemistry 2024年第3期15卷 119-133页

作者： Anwar Sulaiman K. ramakrishna reddy Vundavilli Jagadeesh Kumar hemant Kumar Sharma rEVA University Bangalore India Quality Division Aurobindo Pharma Limited Hyderabad India APL research Centre-II Analytical Research Department Aurobindo Pharma Limited Hyderabad India

Potential mutagenic impurities in Active Pharmaceutical Ingredient, Meropenem Trihydrate were assessed and a novel analytical method for their quantification was developed and validated. This Liquid Chromatographic method using High resolution Mass Spectrometer (LC-HrMS) technique is proved to be suitable for simultaneous quantification of all ten identified impurities with required specificity, sensitivity, resolution, precision, accuracy, and other method characteristics as per ICH Guidelines. The acceptable limit of less than 2.9 μg/g was considered for evaluations, based on drug substance dosage and duration of treatment. The method stands most sensitive with a Limit of Detection of 0.35 μg/g, considering the challenge full acceptance criteria as per current regulatory standards.

关键词： Mutagenic Impurities LC-HrMS Meropenem Trihydrate Method Validation

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recharge and vulnerability assessment of groundwater resources in North west India:Insights from isotope-geospatial modelling approach

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Geoscience Frontiers 2024年第1期15卷 247-262页

作者： Annadasankar roy Sitangshu Chatterjee Uday Kumar Sinha Anil Kumar Jain hemant mohok.r Ajay Jaryal Tirumalesh Keesari Harish Jagat Pant Isotope and radiation Application Division Bhabha Atomic Research CentreTrombayMumbai–400085India Homi Bhabha National Institute Mumbai 400094India Central Ground Water Board AhmedabadGujaratIndia

recent studies indicate dwindling groundwater quantity and quality of the largest regional aquifer system in North West India,raising concern over freshwater availability to about 182 million population residing in this *** agricultural activities have resulted severe groundwater pollution in this area,demanding a systematic vulnerability assessment for proactive *** vulnerability assessment models encounter drawbacks due to subjectivity,complexity,data-prerequisites,and spatial-temporal *** study incorporates isotopic information into a weighted-overlay framework to overcome the above-mentioned limitations and proposes a novel vulnerability assessment *** isotope methodology provides crucial insights on groundwater recharge mechanisms(18O and 2H)and dynamics(3H)-often ignored in vulnerability *** characterisation of precipitation helped in establishing Local Meteoric Water Line(LMWL)as well as inferring contrasting recharge mechanisms operating in different *** aquifer(depthrative signature with evaporation loss accounting up to 18.04%based on rayleigh distillation ***-aquifer connections were apparent from Kernel Density Estimate(KDE)and isotope correlations.A weighted overlay isotope-geospatial model was developed combining 18O,3H,aquifer permeability,and water level *** central and northern parts of study area fall under least(0.29%)and extremely(1.79%)vulnerable zones respectively,while majority of the study area fall under moderate(42.71%)and highly vulnerable zones(55.20%).Model validation was performed using groundwater NO3-concentration,which showed an overall accuracy up to 82%.Monte Carlo Simulation(MCS)was performed for sensitivity analysis and permeability was found to be the most sensitive input parameter,followed by 3H,18O,and water *** the vulnerability map with Land Use Land Cover(LULC)and population density maps

关键词： Agricultural pollution Data scarcity recharge mechanism rayleigh distillation Isotope-geospatial model Vulnerability assessment

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HV Process Model of Software Development

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Journal of Software Engineering and Applications（软件工程与应用） 2024年第7期 553页

作者： hemant Kumar Vipin Saxena

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Software Defect Prediction Using Hybrid Machine Learning Techniques: A Comparative Study

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Journal of Software Engineering and Applications（软件工程与应用） 2024年第4期 155页

作者： hemant Kumar Vipin Saxena

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Mechanical, electrical, and thermal expansion properties of carbon nanotube-based silver and silver–palladium alloy composites

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International Journal of Minerals,Metallurgy and Materials 2014年第11期21卷 1132-1140页

作者： hemant Pal Vimal Sharma Department of Physics National Institute of Technology Department of Physics Govt. Post graduate College

The mechanical, electrical, and thermal expansion properties of carbon nanotube（CNT）-based silver and silver–palladium（10：1, w/w） alloy nanocomposites are reported. To tailor the properties of silver, CNTs were incorporated into a silver matrix by a modified molecular level-mixing process. CNTs interact weakly with silver because of their non-reactive nature and lack of mutual solubility. Therefore, palladium was utilized as an alloying element to improve interfacial adhesion. Comparative microstructural characterizations and property evaluations of the nanocomposites were performed. The structural characterizations revealed that decorated type-CNTs were dispersed, embedded, and anchored into the silver matrix. The experimental results indicated that the modification of the silver and silver–palladium nanocomposite with CNT resulted in increases in the hardness and Young＇s modulus along with concomitant decreases in the electrical conductivity and the coefficient of thermal expansion（CTE）. The hardness and Young＇s modulus of the nanocomposites were increased by 30%？40% whereas the CTE was decreased to 50%-60% of the CTE of silver. The significantly improved CTE and the mechanical properties of the CNT-reinforced silver and silver–palladium nanocomposites are correlated with the intriguing properties of CNTs and with good interfacial adhesion between the CNTs and silver as a result of the fabrication process and the contact action of palladium as an alloying element.

关键词： metal matrix composites carbon nanotubes mechanical properties coefficient of thermal expansion electrical conductivity

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An Optimized Framework for Surgical Team Selection

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Computers, Materials & Continua 2021年第11期69卷 2563-2582页

作者： hemant Petwal rinkle rani Department of Computer Science and Engineering Thapar Institute of Engineering and TechnologyPatiala147004India

In the healthcare system,a surgical team is a unit of experienced personnel who provide medical care to surgical patients during *** a surgical team is challenging for a multispecialty hospital as the performance of its members affects the efficiency and reliability of the hospital’s patient *** effectiveness of a surgical team depends not only on its individual members but also on the coordination among *** this paper,we addressed the challenges of surgical team selection faced by a multispecialty hospital and proposed a decision-making framework for selecting the optimal list of surgical teams for a given *** proposed framework focused on improving the existing surgical history management system by arranging surgery-bound patients into optimal subgroups based on similar characteristics and selecting an optimal list of surgical teams for a new surgical patient based on the patient’s *** this end,two population-based meta-heuristic algorithms for clustering of mixed datasets and multi-objective optimization were *** proposed algorithms were tested using different datasets and benchmark ***,the proposed framework was validated through a case study of a real postoperative surgical dataset obtained from the orthopedic surgery department of a multispecialty hospital in *** results revealed that the proposed framework was efficient in arranging patients in optimal groups as well as selecting optimal surgical teams for a given patient.

关键词： Multi-objective optimization artificial electric field algorithm mixed dataset clustering surgical team strength Pareto

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