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Cosmological Constant Dominated Transit Universe from the Early Deceleration Phase to the Current Acceleration Phase in Bianchi-V Spacetime

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Chinese Physics Letters 2012年第7期29卷 298-302页

作者： YADAV anil kumar Department of Physics Anand Engineering CollegeKeethamAgra-282007India

We present the transition of the universe from the early decelerating phase to the current accelerating phase with viscous fluid and time-dependent cosmological constant (A) as a source of matter in Bianchi- V *** study the transit behaviour of the universe,we assume the scale factor as an increasing function of time,which generates a time-dependent deceleration parameter (DP).The study revesls that the cosmological term does not change its fundamental nature for ε =const and ε =ε(t),where ε is the coefficient of bulk *** A(t)is found to be positive and is a decreasing function of *** same behavior was observed during recent supernovae *** physical behaviour of the universe is discussed in detail.

关键词： universe behaviour Phase

Image smog restoration using oblique gradient profile prior and energy minimization

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Frontiers of Computer Science 2021年第6期15卷 147-153页

作者： Ashok kumar Arpit jain College of Computing Science and Information Technogy TeerthankerMahaveer UniversityMoradabad 244001India

Removing the smog from digital images is a challenging pre-processing tool in various imaging ***,many smog removal(i.e.,desmogging)models are proposed so far to remove the effect of smog from *** desmogging models are based upon a physical model,it means it requires efficient estimation of transmission map and atmospheric veil from a single smoggy ***,many prior based restoration models are proposed in the literature to estimate the transmission map and an atmospheric ***,these models utilized computationally extensive minimization of an energy ***,the existing restoration models suffer from various issues such as distortion of texture,edges,and ***,in this paper,a convolutional neural network(CNN)is used to estimate the physical attributes of smoggy *** gradient channel prior(OGCP)is utilized to restore the smoggy ***,a dataset of smoggy and sunny images are ***,we have trained CNN to estimate the smog gradient from smoggy ***,based upon the computed smog gradient,OGCP is utilized to restore the still smoggy *** analyses reveal that the proposed CNN-OGCP based desmogging model outperforms the existing desmogging models in terms of various performance metrics.

关键词： convolutional neural networks desmogging smog oblique gradient channel prior

Translocator protein and neurodegeneration: insights from Alzheimer’s disease

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Neural Regeneration Research 2025年第4期20卷 1090-1091页

作者： Arpit kumar Pradhan Rainer Rupprecht Gerhard Rammes Klinik für Anaesthesiologie und Intensivmedizin der Technischen Universität München Klinikum rechts der IsarMunichGermany Graduate School of Systemic Neurosciences Ludwig-Maximilians-Universität MünchenMartinsriedGermany Department of Psychiatry and Psychotherapy University RegensburgRegensburgGermany

The 18 kDa translocator protein(TSPO)located on the outer mitochondrial membrane regulates several key cellular processes including mitochondrial homeostasis,cholesterol transport,apoptosis,cell proliferation,and maintenance of mitochondrial health(Rupprecht et al.,2022,2023).TSPO is expressed in both peripheral organs and the central nervous system,with a more pronounced expression in tissues that produce *** main reason why TSPO has garnered so much attention is because it plays a key role in neurosteroidogenesis by transferring cholesterol from the outer to the inner mitochondrial membrane,which is the rate-limiting step in neurosteroid synthesis.A cholesterol-recognizing amino acid consensus domain has been identified in the cytosolic C terminus of the TSPO protein by both in vitro and site-directed mutagenesis experiments(Li et al.,2001).However,the role of TSPO in the process of neurosteroid synthesis has been challenged by several studies,particularly TSPO knockout models,which suggest that TSPO removal does not affect the phenotype or the system’s viability(Tu et al.,2014).However,ligands targeting TSPO have been shown to enhance levels of neurosteroids which suggests that neurosteroidogenesis is one of the major functional roles mediated by the TSPO protein.

关键词： cholesterol organs

Anisotropic massive strings in the scalar-tensor theory of gravitation

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Research in Astronomy and Astrophysics 2013年第7期13卷 772-782页

作者： anil kumar Yadav Department of Physics Anand Engineering College

We present the model of an anisotropic universe with string fluid as the source of matter within the framework of the scalar-tensor theory of gravitation. An exact solution of field equations is obtained by applying Berman＇s law of variation to Hubble＇s parameter which yields a constant value of the deceleration parameter. The nature of classical potential is examined for the model under consideration. It has also been found that the massive strings dominate in the early universe and finally disap-pear from the universe. This is in agreement with current astronomical observations. The physical and dynamical properties of the model are also discussed.

关键词： early universe -- massive strings -- scalar-tensor theory -- classicalpotential

Bianchi-V string cosmological model and late time acceleration

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Research in Astronomy and Astrophysics 2012年第11期12卷 1467-1474页

作者： anil kumar Yadav Department of Physics Anand Engineering College

We have searched for the existence of the late time acceleration of the universe with string fluid as the source of matter in Bianchi-V space-time. To derive a deterministic solution, we choose the scale factor to be an increasing function of time that yields a time dependent deceleration parameter, representing a model which generates a universe showing a transition from an early decelerating phase to a recent accelerating phase. The study reveals that strings dominate the early universe and eventually disappear from the universe for sufficiently large times, i.e. in the present epoch. This picture is consistent with current astronomical observations. The physical behavior of the universe is discussed in detail.

关键词： early universe -- cosmological parameters

A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 49-90页

作者： Vajratiya Vajrobol Geetika jain Saxena Amit Pundir Sanjeev Singh Akshat Gaurav Savi Bansal Razaz Waheeb Attar Mosiur Rahman Brij B.Gupta Institute of Informatics and Communication University of DelhiDelhi110021India Maharaja Agrasen College University of DelhiDelhi110096India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of Research and Innovation Insights2TechinfoJaipur302001India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia CCRI&Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing *** aims to alleviate the workload on healthcare professionals and aid *** applications have been developed to support the challenges in intelligent healthcare ***,because mental health data is sensitive,privacy concerns have *** learning has gotten some *** research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare *** explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health *** research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security *** survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.

关键词： Depression emotional recognition intelligent healthcare systems mental health federated learning stress detection sleep behaviour

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

Tracking Control of Uncertain Nonlinear Systems With Unknown Constant Input Delay

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IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 420-425页

作者： Ashish kumar jain Shubhendu Bhasin Department of Electrical Engineering Indian Institute of Technology DelhiNew Delhi-110016India

A robust delay compensator has been developed for a class of uncertain nonlinear systems with an unknown constant input *** control law consists of feedback terms based on the integral of past control values and a novel filtered tracking error,capable of compensating for input *** Lyapunov-Krasovskii functionals are used to prove global uniformly ultimately bounded(GUUB)tracking,provided certain sufficient gain conditions,dependent on the bound of the delay,are *** results illustrate the performance and robustness of the controller for different values of input delay.

关键词： Global uniformly ultimately bounded stability Lyapunov-Krasovskii functionals nonlinear systems tracking control unknown input delay

Machinery fault diagnostic method based on numerical simulation driving partial transfer learning

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Science China(Technological Sciences) 2023年第12期66卷 3462-3474页

作者： LOU YunXia kumar anil XIANG JiaWei College of Mechanical and Electrical Engineering Wenzhou UniversityWenzhou 325035China

Artificial intelligence(AI),which has recently gained popularity,is being extensively employed in modern fault diagnostic research to preserve the reliability and productivity of *** effectiveness of AI is influenced by the quality of the labeled training ***,in engineering scenarios,available data on mechanical equipment are scarce,and collecting massive amounts of well-annotated fault data to train AI models is expensive and *** response to the inadequacy of training samples,a numerical simulation-based partial transfer learning method for machinery fault diagnosis is ***,a suitable simulation model of critical components in a mechanical system is developed using the finite element method(FEM),and numerical simulation is performed to acquire FEM simulation samples containing different fault ***,several synthetic simulation samples are generated to form complete source domain training samples using a generative adversarial ***,the partial transfer learning network is trained to extract shared fault characteristics between the simulation and measured samples in the case of class ***,the resulting model is used to diagnose unknown samples from real-world mechanical systems in *** proposed method is tested on actual fault samples of bearings and gears obtained from a public dataset and experimental test rig available in our laboratory,achieving average classification accuracy of 99.54%and 99.64%,*** investigations reveal that the proposed method has superior classification and generalization ability when detecting faults in real mechanical systems.

关键词： finite element method generative adversarial network fault diagnosis partial transfer learning bearing gear

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