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Gangrenous Amyand’s hernia in neonate: A great clinical masquerader

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Open Journal of Pediatrics 2013年第4期3卷 364-365页

作者： Vaibhav Pandey Ajar Narayan Gangopadhyay dinesh kumar gupta Shiv Prasad Sharma Department of Paediatric Surgery Institute of Medical Sciences Banaras Hindu University Varanasi India

Amyand’s hernia [AH] is a rare condition with presence of vermiform appendix in an inguinal hernia sac [1]. It is a rare entity with very difficult preoperative diagnosis that does not affect management. We herein report a neonatal gangrenous AH masking all features of underlying bowel gangrene. In neonates, a great masquerader can mask all the features of underlying bowel gangrene and delay in diagnosis can be detrimental in context of outcome. A high index of suspicion of Amyand’s hernia with gangrene should be kept even if child presents with irreducible hernia without features of strangulation to prevent avoidable increase in morbidity and mortality.

关键词： Hernia Gangrenous Appendix Strangulation Inguinal Appendicitis

INFLUENCE OF RIGID BOUNDARY ON THE LOVE WAVE PROPAGATION IN ELASTIC LAYER WITH VOID PORES

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Acta Mechanica Solida Sinica 2013年第5期26卷 551-558页

作者： Sumit kumar Vishwakarma Shishir gupta dinesh kumar Majhi Department of Applied Mathematics Indian School of Mines Department of Mathematics Birla Institute of Technology and Science

In this paper, a mathematical model for Love wave propagation in a porous elastic layer under a rigid boundary resting over a poro-elastic half-space has been developed. The study shows that such a medium transmits two types of Love waves. The first front depends on the change in volume fraction of the pores whereas the second front depends upon the modulus of rigidity of the elastic matrix of the medium and is the same as the Love wave in an elastic layer over an elastic half-space. It is observed that the first front is many times faster than the shear wave in the medium with void pores due to the change in the volume fraction of the pores and is significant.

关键词： Love waves void pores volume fraction rigid boundary wave front

Intricacies during pregnancy with gestational diabetes mellitus

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World Journal of Clinical Cases 2025年第1期13卷 62-64页

作者： Richa Rattan Rimesh Pal Parul Chawla gupta Arvind kumar Morya Ripunjay Prasad Department of Endocrinology Post Graduate Institute of Medical Education and ResearchChandigarh 160012India Department of Ophthalmology Post Graduate Institute of Medical Education and ResearchChandigarh 160012PunjabIndia Department of Ophthalmology All India Institute of Medical SciencesHyderabad 508126TelanganaIndia Department of Ophthalmology RP Eye InstituteDelhi 110001India

The study by Cao et al aimed to identify early second-trimester biomarkers that could predict gestational diabetes mellitus(GDM)development using advanced proteomic techniques,such as Isobaric tags for relative and absolute quantitation isobaric tags for relative and absolute quantitation and liquid chromatography-mass spectrometry liquid chromatography-mass *** analysis revealed 47 differentially expressed proteins in the GDM group,with retinol-binding protein 4 and angiopoietin-like 8 showing significantly elevated serum levels compared to *** these findings are promising,the study is limited by its small sample size(n=4 per group)and lacks essential details on the reproducibility and reliability of the protein quantification methods ***,the absence of experimental validation weakens the interpretation of the protein-protein interaction network identified through bioinformatics *** study's focus on second-trimester biomarkers raises concerns about whether this is a sufficiently early period to implement preventive interventions for *** GDM risk during the first trimester or pre-conceptional period may offer more clinical *** its limitations,the study presents valuable insights into potential GDM biomarkers,but larger,well-validated studies are needed to establish their predictive utility and generalizability.

关键词： Gestational diabetes mellitus Biomarkers Differentially expressed proteins Retinol-binding protein 4 Angiopoietin-like 8 Proteomics Lifestyle interventions Early prediction

Prediction of COVID-19 Confirmed, Death, and Cured Cases in India Using Random Forest Model

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Big Data Mining and Analytics 2021年第2期4卷 116-123页

作者： Vishan kumar gupta Avdhesh gupta dinesh kumar Anjali Sardana Department of Computer Science and Engineering(CSE) Graphic Era Deemed to be UniversityDehradun 248002India Department of CSE IMS Engineering CollegeGhaziabad 201009India Department of CSE KIET Group of InstitutionsGhaziabad 201206India

A novel coronavirus(SARS-CoV-2) is an unusual viral pneumonia in patients, first found in late December 2019, latter it declared a pandemic by World Health Organizations because of its fatal effects on public health. In this present, cases of COVID-19 pandemic are exponentially increasing day by day in the whole world. Here, we are detecting the COVID-19 cases, i.e., confirmed, death, and cured cases in India only. We are performing this analysis based on the cases occurring in different states of India in chronological dates. Our dataset contains multiple classes so we are performing multi-class classification. On this dataset, first, we performed data cleansing and feature selection, then performed forecasting of all classes using random forest, linear model, support vector machine,decision tree, and neural network, where random forest model outperformed the others, therefore, the random forest is used for prediction and analysis of all the results. The K-fold cross-validation is performed to measure the consistency of the model.

关键词： coronavirus COVID-19 respiratory tract multi-class classification random forest

Hybrid Machine Learning Model for Face Recognition Using SVM

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Computers, Materials & Continua 2022年第8期72卷 2697-2712页

作者： Anil kumar Yadav R.K.Pateriya Nirmal kumar gupta Punit gupta dinesh kumar Saini Mohammad Alahmadi IES College of Technology Bhopal462044India Maulana Azad National Institute of Technology Bhopal462003India Department of Information Technology Manipal University JaipurJaipur303007India Department of Computer and Communication Engineering Manipal University JaipurJaipur303007India Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23218Saudi Arabia

Face recognition systems have enhanced human-computer interactions in the last ten ***,the literature reveals that current techniques used for identifying or verifying faces are not immune to *** Component Analysis-Support Vector Machine(PCA-SVM)and Principal Component Analysis-Artificial Neural Network(PCA-ANN)are among the relatively recent and powerful face analysis *** to PCA-ANN,PCA-SVM has demonstrated generalization capabilities in many tasks,including the ability to recognize objects with small or large data *** from requiring a minimal number of parameters in face detection,PCA-SVM minimizes generalization errors and avoids overfitting problems better than ***-SVM,however,is ineffective and inefficient in detecting human faces in cases in which there is poor lighting,long hair,or items covering the subject’s *** study proposes a novel PCASVM-based model to overcome the recognition problem of PCA-ANN and enhance face *** experimental results indicate that the proposed model provides a better face recognition outcome than PCA-SVM.

关键词： Face recognition system(FRS) face identification SVM discrete cosine transform(DCT) artificial neural network(ANN) machine learning

A novel approach for part family formation using K-means algorithm

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Advances in Manufacturing 2013年第3期1卷 241-250页

作者： Ashutosh gupta P.K.Jain dinesh kumar Department of Mechanical and Industrial Engineering Indian Institute of Technology Roorkee

The reconfigurable manufacturing system （RMS） is the next step in manufacturing, allowing the production of any quantity of highly customized and complex parts together with the benefits of mass production. In RMSs, parts are grouped into families, each of which requires a specific system configuration. Initially system is configured to produce the first family of parts. Once it is finished, the system will be reconfigured in order to produce the second family, and so forth. The effectiveness of a RMS depends on the formation of the optimum set of part families addressing various recon figurability issues. The aim of this work is to establish a methodology for grouping parts into families for effective working of RMS. The methodology carried out in two phases. In the first phase, the correlation matrix is used as similarity coefficient matrix. In the second phase, agglomerative hier archical Kmeans algorithm is used for the parts family for mation resulting in an optimum set of part families for reconfigurable manufacturing system.

关键词： Reconfigurable manufacturing system (RMS)Part family formation K-means algorithm Similaritycoefficient Correlation matrix

Antidiabetic activity of methanolic bark extract of Alhizia odoratissima *** alloxan induced diabetic albino mice

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Asian Pacific Journal of Tropical Medicine 2011年第11期4卷 900-903页

作者： dinesh kumar Sunil kumar Sonia Kohli Renu Arya Jyoti gupta Institute of Pharmaceutical Sciences Kurukshetra UniversityKurukshetra-136119HaryanaIndia

Objective:To evaluate the antidiabetic potential of methanolic extract of Albizia odoratissima *** in alloxan induced diabetic ***:Group-Ⅰ(normal control) mice received only basal diet without any *** Group-Ⅱ(Diabetic control) mice,diabetes was induced by alloxan(150 mg/kg i.p.) and received only Tween 80.5%v/v in normal saline. Group-Ⅲand Group-Ⅳmice received metformin(10 mg/kg) and gliclazide(10 mg/kg) as standard ***-ⅤandⅥmice received methanolic bark extract of Albizia odoratissima at doses of 250 and 500 mg/kg body weight p.o.,***:The results of the study indicates that Albizia odoratissima bark extract significantly(P<0.01) reduced the blood sugar *** bark extract also significantly reduced the levels of serum cholesterol,triglycerides, serum glutamic-oxaloacetic transaminase,serum glutamic-pyruvic transaminase,alkaline phosphatase and decreases level of total proteins in alloxan induced diabetic ***: Methanolic extract of Albizia odoratissima has protective effects on the protection of vital tissues(pancreas,kidney,liver,heart and spleen),thereby reducing the causation of diabetes in experimental animals.

关键词： Albizia odoratissima Antidiabetic potential Methanolic extract Alloxan Mice

Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications

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Computers, Materials & Continua 2022年第6期71卷 5659-5676页

作者： Punit gupta Sanjit Bhagat dinesh kumar Saini Ashish kumar Mohammad Alahmadi Prakash Chandra Sharma School of Computing&Information Technology Manipal University JaipurJaipur303007India School of Basic Sciences Manipal University JaipurJaipur303007India Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23218Saudi Arabia

In the next generation of computing environment e-health care services depend on cloud *** Cloud computing environment provides a real-time computing environment for e-health care *** these services generate a huge number of computational tasks,real-time computing and comes with a deadline,so conventional cloud optimizationmodels cannot fulfil the task in the least time and within the *** overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the least simulation *** order to overcome existing issues,an artificial neural-inspired whale optimization is proposed to provide a reliable solution for healthcare *** this work,two models are proposed one for reliability estimation and the other is based on whale optimization technique and neural network-based binary *** predictive model enhances the quality of service using performance metrics,makespan,least average task completion time,resource usages cost and utilization of the *** as compared to existing algorithms the proposedANN-WHOalgorithms prove to improve the average start time by 29.3%,average finish time by 29.5%and utilization by 11%.

关键词： Cloud computing whale optimization health care resource optimization

Insight into solute-solute and solute-solvent interactions of semicarbazide hydrochloride in water and D-glucose/D-sucrose+water solutions at temperatures(293.15 to 318.15)K

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Chinese Journal of Chemical Engineering 2020年第12期28卷 3086-3095页

作者： Ankita dinesh Chand Anil kumar Nain Department of Chemistry Dyal Singh CollegeUniversity of DelhiNew Delhi 110003India Department of Chemistry University of DelhiDelhi 110007India Department of Chemistry Amity University Dubai CampusDubai International Academic CityDubaiUAE

The solute-solute and solute-solvent interactions of drug semicarbazide hydrochloride with carbohydrates(Dglucose/D-sucrose)are investigated by using volumetric,viscometric and acoustic *** measurements of the densitiesρ,ultrasonic speeds u,and viscositiesη.of semicarbazide hydrochloride in 5% and 10%D-glucose/D-sucrose+water(w/w)solutions were carried out at temperatures(293.15-318.15)K and at pressure,p=101 *** apparent molar volumes,Vϕ,limiting apparent molar volumes,V°ϕ,apparent molar compressibilities,Ks,ϕ,limiting apparent molar compressibilities,K°s;ϕ,partial molar expansibilities,E°ϕ,transfer volumes,V°ϕ;tr and transfer compressibilities,K°s;ϕ;tr have been calculated from the experimental *** viscosity data were examined by using the Jones-Dole equation and the viscosity A and B coefficients were *** results are discussed in terms of solute-solute and solute-solvent interactions in these *** structure making/breaking ability of semicarbazide hydrochloride is examined using the sign of temperature derivative of Bcoefficient,dB/dT.

关键词： Density Ultrasonic speed Viscosity Semicarbazide hydrochloride Carbohydrates Solute-solvent interactions