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Intricacies during pregnancy with gestational diabetes mellitus

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

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ηmesons in hot magnetized nuclear matter

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Chinese Physics C 2022年第2期46卷 160-177页

作者： Rajesh kumar arvind kumar Department of Physics Dr.B R Ambedkar National Institute of Technology JalandharJalandhar-144011PunjabIndia

ηN interactions are investigated in hot magnetized asymmetric nuclear matter using the chiral SU(3)model and chiral perturbation theory(ChPT).In the chiral modcl,thc in-medium properties of η-mesons are calcu-lated using medium modified scalar densities under the influence of an extermal magnetic ***,in a com-bined chiral model and ChPT approach,off-shell contributions of the ηN interactions are evaluated from the ChPTeffective ηN Lagrangian,and the in-medium effect of scalar densities are incorporated from the chiral SU(3)*** find that the magnetic field has a significant effect on the in-medium mass and optical potential of η mesons,andwe observe a deeper mass-shift in the combined chiral model and ChPT approach than in the solo chiral SU(3)*** both approaches,no additional mass-shift is observed due to the uncharged nature of η mesons in the presenceof a magnetic field.

关键词： hadron physics ηinteractions in-medium mesons

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Comparative quantitative analysis of fruit oil from Hippophae rhamnoides(seabuckthorn) by qNMR, FTIR and GC–MS

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Chinese Herbal Medicines 2023年第4期15卷 607-613页

作者： Dattatraya Dinkar Gore Furkan Ahmad Kulbhushan Tikoo arvind kumar bansal.dinesh kumar Inder Pal Singh National Institute of Pharmaceutical Education and Research(NIPER) S.A.S.Nagar 160062India CSIR-Institute of Himalayan Bioresource and Technology Palampur 176061India

Objective: To develop a qNMR method for quantitative analysis of triacylglycerols in fruit oil of Hippophae rhamnoides(seabuckthorn, SBT) and analyze commercial samples of SBT oils using GC–MS and ***: SBT fruit oil(IPHRFH) was extracted with hexane and the triglyceride(TAG) was isolated by vacuum liquid chromatography. Six different branded SBT oils purchased from e-commerce suppliers(Amazon) and in-house prepared SBT oil was analyzed by qNMR and fatty acyl composition of TAGs determined by using NMR. In-house oil was also analysed by GC–MS and FTIR ***: The qNMR results showed that the oil contained 80.3% of triacylglycerol(TAG). The SBT oil TAGs comprised of linolenate 6.6%, palmitoleate/oleate 65.4%, and total saturated fatty acyl chain including palmitate 28% as determined by qNMR. GC–MS analysis revealed that the major acyl functionalities present in the TAG were palmitoleic acid 36.5%, oleic acid 12.9%, palmitic acid 21.2%, and linoleic acid 18%. Of the six commercial samples analyzed, samples from only one supplier(SW) were fruit oil;All others were the seed oils or mix of fruit oil and seed oil. The labels for samples except for the SW did not indicate whether it was fruit oil or seed ***: The results suggest that SBT oil should be analyzed by combination of GC–MS, FTIR and qNMR for factual content of free fatty acid or TAGs, which are chemically different in nature and affect the quality of oil. GC–MS showed the content of omega free fatty acids after hydrolysis, while qNMR and FTIR showed the content of TAGs. The major acyl functionalities found in SBT fruit oil TAGs are palmitoleate/palmitate/oleate, while linoleate and linonelate make up a minor fraction. Furthermore,analysis of commercial samples showed discrepancies between label claims and actual content.

关键词： Hippophae rhamnoides L. omega fatty acids qNMR seabuckthorn triacylglycerols

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Charmonia and bottomonia in asymmetric magnetized hot nuclear matter

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Chinese Physics C 2019年第12期43卷 141-158页

作者： Rajesh kumar arvind kumar Department of Physics Dr.B R Ambedkar National Institute of Technology Jalandhar

We investigate the mass-shift of P-wave charmonium(χc0,χc1),and S and P-wave bottomonium(ηb,■,χb0,andχb1)states in magnetized hot asymmetric nuclear matter using the unification of QCD sum rules(QCDSR)and the chiral S U(3)*** QCDSR,we use two approaches,i.e.,the moment sum rule and the Borel sum *** magnetic field induced scalar gluon condensateand the twist-2 gluon operatorcalculated in the chiral S U(3)model are utilised in QCD sum rules to calculate the in-medium mass-shift of the above *** attractive mass-shift of these mesons is observed,which is more sensitive to magnetic field in the high density regime for charmonium,however less so for *** results may be helpful to understand the decay of higher quarkonium states to the lower quarkonium states in asymmetric heavy ion collision experiments.

关键词： heavy mesons hot and dense matter finite magnetic field QCD sum rules chiral model

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Proactive Connection Recovery Strategy with Recovery Time Constraint for Survivable Elastic Optical Networks

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China Communications 2021年第9期18卷 236-248页

作者： dinesh kumar Rajiv kumar Neeru Sharma Department of Electronics&Communication Engineering Jaypee University of Information Technology WaknaghatSolan(HP)India

This paper presents a halfway signaling exchange shared path protection(HSE-SPP)on the backup route for a fast connection recovery *** the proposed HSE-SPP,a pre-assigned intermediate node on the backup route is chosen for signaling *** connection fails,source and destination nodes simultaneously generate backup connection setup messages to the pre-assigned intermediate node on the reserved backup *** the intermediate node,signaling process occurs,and acknowledgment is generated for data transmission to the respective end ***,connection recovery time by applying HSE-SPP becomes very *** are performed for network parameters and results are verified with existing *** average recovery time(RT),bandwidth blocking probability(BBP),bandwidth provisioning ratio(BPR),and resource overbuild(RO)ratio of HSE-SPP for ARPANET is 13.54 ms,0.18,3.02,0.55,and for dedicated path protection(DPP)are 13.20 ms,0.56,6.30,3.75 and for shared path protection(SPP)22.19 ms,0.22,3.23,0.70 ***,average RT,BBP,BPR and RO of HSE-SPP for COST239 are8.33 ms,0.04,1.64,0.26,and for DPP 4.23,0.47,3.50,2.04,and for SPP 11.81,0.08,1.66,0.27 ***,results of the proposed strategy are better in terms of RT,BBP,BPR,and RO ratio.

关键词： routing and spectrum assignment halfway signaling exchange-shared path protection(HSE-SPP) dedicated path protection bandwidth blocking probability(BBP)

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Thermodynamic properties and phase diagram of quark matter within non-extensive Polyakov chiral SU(3)quark mean field model

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Chinese Physics C 2024年第5期48卷 60-71页

作者： Dhananjay Singh arvind kumar Department of Physics Dr.B R Ambedkar National Institute of Technology JalandharJalandhar–144008PunjabIndia

In the present study,we applied Tsallis non-extensive statistics to investigate the thermodynamic properties and phase diagram of quark matter in the Polyakov chiral SU(3)quark mean field *** this model,the properties of the quark matter were modified through the scalar fieldsσ,ζ,δ,χ,vector fieldsω,ρ,ϕ,and Polyakov fieldsΦandΦ¯at finite temperature and chemical ***-extensive effects were introduced through a dimensionless parameter q,and the results were compared to those of the extensive case(q→1).In the non-extensive case,the exponential in the Fermi-Dirac(FD)function was modified to a q-exponential *** influence of the q parameter on the thermodynamic properties,pressure,energy,and entropy density,as well as trace anomaly,was *** speed of sound and specific heat with non-extensive effects were also ***,the effect of non-extensivity on the deconfinement phase transition as well as the chiral phase transition of u,d,and s quarks was *** found that the critical end point(CEP),which defines the point in the(T−μ)phase diagram where the order of the phase transition changes,shifts to a lower value of temperature,TCEP,and a higher value of chemical potential,μCEP,as the non-extensivity is increased,that is,q>1.

关键词： quark matter quark mean field model QCD phase diagram non-extensive statistics

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Masked Face Recognition Using MobileNet V2 with Transfer Learning

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Computer Systems Science & Engineering 2023年第4期45卷 293-309页

作者： Ratnesh kumar Shukla arvind kumar Tiwari Department of Computer Science&Engineering Dr.APJ Abdul Kalam Technical UniversityLucknow226021India Department of Computer Science&Engineering KNITSultanpur228118Uttar PradeshIndia

Corona virus(COVID-19)is once in a life time calamity that has resulted in thousands of deaths and security *** are using face masks on a regular basis to protect themselves and to help reduce corona virus *** the on-going coronavirus outbreak,one of the major priorities for researchers is to discover effective *** important parts of the face are obscured,face identification and verification becomes exceedingly *** suggested method is a transfer learning using MobileNet V2 based technology that uses deep feature such as feature extraction and deep learning model,to identify the problem of face masked *** the first stage,we are applying face mask detector to identify the face ***,the proposed approach is applying to the datasets from Canadian Institute for Advanced Research10(CIFAR10),Modified National Institute of Standards and Technology Database(MNIST),Real World Masked Face Recognition Database(RMFRD),and Stimulated Masked Face Recognition Database(SMFRD).The proposed model is achieving recognition accuracy 99.82%with proposed *** article employs the four pre-programmed models VGG16,VGG19,ResNet50 and *** extract the deep features of faces with VGG16 is achieving 99.30%accuracy,VGG19 is achieving 99.54%accuracy,ResNet50 is achieving 78.70%accuracy and ResNet101 is achieving 98.64%accuracy with own *** comparative analysis shows,that our proposed model performs better result in all four previous existing *** fundamental contribution of this study is to monitor with face mask and without face mask to decreases the pace of corona virus and to detect persons using wearing face masks.

关键词： Convolutional Neural Network(CNN) deep learning face recognition system COVID-19 dataset and machine learning based models

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Nonlinear analysis of traffic jams in an anisotropic continuum model

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Chinese Physics B 2010年第11期19卷 156-164页

作者： arvind kumar Gupta Sapna Sharma Department of Mathematics IIT Ropar-140001India Mathematics Group Birla Institute of Technology and SciencePilani-333031India

This paper presents our study of the nonlinear stability of a new anisotropic continuum traffic flow model in which the dimensionless parameter or anisotropic factor controls the non-isotropic character and diffusive influence. In order to establish traff^c flow stability criterion or to know the critical parameters that lead, on one hand, to a stable response to perturbations or disturbances or, on the other hand, to an unstable response and therefore to a possible congestion, a nonlinear stability criterion is derived by using a wavefront expansion technique. The stability criterion is illustrated by numerical results using the finite difference method for two different values of anisotropic parameter. It is also been observed that the newly derived stability results are consistent with previously reported results obtained using approximate linearisation methods. Moreover, the stability criterion derived in this paper can provide more refined information from the perspective of the capability to reproduce nonlinear traffic flow behaviors observed in real traffic than previously established methodologies.

关键词： traffic flow non-linear stability wavefront method

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Analysis of the wave properties of a new two-lane continuum model with the coupling effect

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Chinese Physics B 2012年第1期21卷 295-309页

作者： arvind kumar Gupta Sapna Sharma Department of Mathematics Indian Institute of Technology Ropar Department of Mathematics Birla Institute of Technology & Science Pilani

A multilane extension of the single-lane anisotropic continuum model （GK model） developed by Gupta and Katiyar for traffic flow is discussed with the consideration of the coupling effect between the vehicles of different lanes in the instantaneous traffic situation and the lane-changing effect. The conditions for securing the linear stability of the new model are presented. The shock and the rarefaction waves, the local cluster effect and the phase transition are investigated through simulation experiments with the new model and are found to be consistent with the diverse nonlinear dynamical phenomena observed in a real traffic flow. The analysis also focuses on empirically observed two- lane phenomena, such as lane usage inversion and the density dependence of the number of lane changes. It is shown that single-lane dynamics can be extended to multilane cases without changing the basic properties of the single-lane model. The results show that the new multilane model is capable of explaining some particular traffic phenomena and is in accordance with real traffic flow.

关键词： two-lane traffic numerical simulation lane usage inversion

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Feature selection for face recognition:a memetic algorithmic approach

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第8期10卷 1140-1152页

作者： dinesh kumar Shakti kumar C.S.RAI Department of Computer Science & Engineering Guru Jambheshwar University of Science & Technology Institute of Science and Technology University School of Information Technology GGS Indraprastha University

The eigenface method that uses principal component analysis(PCA) has been the standard and popular method used in face *** paper presents a PCA-memetic algorithm(PCA-MA) approach for feature *** has been extended by MAs where the former was used for feature extraction/dimensionality reduction and the latter exploited for feature *** were performed over ORL and YaleB face databases using Euclidean norm as the *** was found that as far as the recognition rate is concerned,PCA-MA completely outperforms the eigenface *** compared the performance of PCA extended with genetic algorithm(PCA-GA) with our proposed PCA-MA *** results also clearly established the supremacy of the PCA-MA method over the PCA-GA *** further extended linear discriminant analysis(LDA) and kernel principal component analysis(KPCA) approaches with the MA and observed significant improvement in recognition rate with fewer *** paper also compares the performance of PCA-MA,LDA-MA and KPCA-MA approaches.

关键词： Face recognition Memetic algorithm (MA) Principal component analysis (PCA) Linear discriminant analysis (LDA) Kernel principal component analysis (KPCA) Feature selection

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