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Circadian clock control of MRTF/SRF pathway suppresses beige adipocyte thermogenic recruitment

Journal of Molecular Cell Biology 2022年第12期14卷 46-62页

作者： Xuekai Xiong Weini Li Ruya Liu pradip saha Vijay Yechoor Ke Ma Department of Diabetes Complications&Metabolism Beckman Research Institute of City of HopeDuarteCA 91010USA Diabetes and Beta Cell Biology Center Division of EndocrinologyDiabetes&MetabolismDepartment of MedicineUniversity of PittsburghPittsburghPA 15213USA Department of Medicine Baylor College of MedicineHoustonTX 77030USA

The morphological transformation of adipogenic progenitors into mature adipocytes requires dissolution of actin cytoskeleton with loss of myocardin-related transcription factor(MRTF)/serum response factor(SRF)*** clock confers temporal control in adipogenic differentiation,while the actin cytoskeleton–MRTF/SRF signaling transduces extracellular physical niche ***,we define a novel circadian transcriptional control involved in actin cytoskeleton–MRTF/SRF signaling cascade that modulates beige fat thermogenic *** components of actin dynamic–MRTF/SRF pathway display circadian regulation in beige fat *** core clock regulator,brain and muscle arnt-like 1(Bmal1),exerts direct transcriptional control of genes within the actin dynamic–MRTF/SRF cascade that impacts actin cytoskeleton organization and SRF *** beige fat-selective gene-targeting models together with pharmacological rescues,we further demonstrate that Bmal1 inhibits beige adipogenesis and thermogenic capacity in vivo via the MRTF/SRF *** ablation of Bmal1 induces beigeing with improved glucose homeostasis,whereas its targeted overexpression attenuates thermogenic induction resulting in ***,our findings identify the clock–MRTF/SRF regulatory axis as an inhibitory mechanism of beige fat thermogenic recruitment with significant contribution to systemic metabolic homeostasis.

关键词： circadian rhythm actin cytoskeleton adipocyte differentiation thermogenesis energy balance glucose metabolism insulin sensitivity

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Effect of metal fractions on rice grain metal uptake and biological parameters in mica mines waste contaminated soils

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Journal of Environmental Sciences 2024年第2期136卷 313-324页

作者： Saibal Ghosh Sandip Mondal Jajati Mandal Abhishek Mukherjee pradip Bhattacharyya Agricultural and Ecological Research Unit Indian Statistical InstituteGiridihJharkhand 815301India School of Science Engineering&EnvironmentUniversity of SalfordManchester M54WTUK

Heavy metals from mica waste not only deteriorate the soil quality but also results in the uptake of metals in the *** present investigation was conducted to evaluate the effects of different fractions of metals on the uptake in rice,soil microbial and biochemical properties in mica waste-contaminated soils of Jharkhand,*** each active mine,soil samples were randomly collected at distances of100 m(zone 3).Sequential metal extraction was used to determine the fractions of different metals(nickel(Ni),cadmium(Cd),chromium(Cr)and lead(Pb))including water-soluble(Ws)and exchangeable metals(Ex),carbonate-bound metals(CBD),Fe/Mn oxide(OXD)bound metals,organically bound metals(ORG),and residues(RS).The Ni,Cr,Cd and Pb in rice grain were 0.83±0.41,0.41±0.19,0.21±0.14 and 0.17±0.08 mg/kg *** the variable importance plot of the random forest(RF)algorithm,the Ws fraction of Ni,Cr and Cd and Ex fraction of Pb was the most important predictor for rice grain metal ***,the partial dependence plots(PDP)give us an insight into the role of the two most important metal fractions on rice grain metal *** microbial and enzyme activity was significantly and negatively correlated with Ws and Ex metal fractions,indicating that water-soluble and exchangeable fractions exert a strong inhibitory effect on the soil microbiological parameters and enzyme activities.

关键词： Metal fractions Microbial parameters Mica waste soil Soil enzymes Rice Random forest

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SHT-based public auditing protocol with error tolerance in FDL-empowered IoVs

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Digital Communications and Networks 2024年第1期10卷 142-149页

作者： Kui Zhu Yongjun Ren Jian Shen Pandi Vijayakumar pradip Kumar Sharma School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China Peng Cheng Laboratory Shenzhen518000China Department of Computer Science and Engineering University College of Engineering TindivanamTamil Nadu604001India Department of Computing Science University of AberdeenAberdeenAB243UEUK

With the intelligentization of the Internet of Vehicles(lovs),Artificial Intelligence(Al)technology is becoming more and more essential,especially deep *** Deep Learning(FDL)is a novel distributed machine learning technology and is able to address the challenges like data security,privacy risks,and huge communication overheads from big raw data ***,FDL can only guarantee data security and privacy among multiple clients during data *** the data sets stored locally in clients are corrupted,including being tampered with and lost,the training results of the FDL in intelligent IoVs must be negatively *** this paper,we are the first to design a secure data auditing protocol to guarantee the integrity and availability of data sets in FDL-empowered ***,the cuckoo filter and Reed-Solomon codes are utilized to guarantee error tolerance,including efficient corrupted data locating and *** addition,a novel data structure,Skip Hash Table(SHT)is designed to optimize data ***,we illustrate the security of the scheme with the Computational Diffie-Hellman(CDH)assumption on bilinear *** theoretical analyses and performance evaluations demonstrate the security and efficiency of our scheme for data sets in FDL-empowered IoVs.

关键词： Internet of vehicles Federated deep learning Data security Data auditing Data locating and recovery

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Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches

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Frontiers of Environmental Science & Engineering 2024年第5期18卷 101-115页

作者： Sumit Kumar Sonali Banerjee Saibal Ghosh Santanu Majumder Jajati Mandal Pankaj Kumar Roy pradip Bhattacharyya Agricultural and Ecological Research Unit Indian Statistical InstituteGiridih815301India Department of Life and Environmental Sciences Bournemouth University(Talbot Campus)Fern BarrowPooleBH12 5BBUK School of Sciences Engineering & EnvironmentUniversity of SalfordSalfordM5 4QJUK School of Water Resource Engineering Jadavpur UniversityKolkata700032India School of Environmental Studies Jadavpur UniversityKolkata700032India

The present study assesses the concentration,probabilistic risk,source classification,and dietary risk arising from heavy metal(HMs)pollution in agricultural soils affected by coal mining in eastern part of *** of soil and rice plant indicated significantly elevated levels of HMs beyond the permissible limit in the contaminated zones(zone 1:PbSoil:108.24±72.97,CuSoil:57.26±23.91,CdSoil:8.44±2.76,CrSoil:180.05±46.90,NiSoil:70.79±25.06 mg/kg;PbGrain:0.96±0.8,CuGrain:8.6±5.1,CdGrain:0.65±0.42,CrGrain:4.78±1.89,NiGrain:11.74±4.38 mg/*** 2:PbSoil:139.56±69.46,CuSoil:69.89±19.86,CdSoil:8.95±2.57,CrSoil:245.46±70.66,NiSoil:95.46±22.89 mg/kg;PbGrain:1.27±0.84,CuGrain:7.9±4.57,CdGrain:0.76±0.43,CrGrain:8.6±1.58,NiGrain:11.50±2.46 mg/kg)compared to the uncontaminated zone(zone 3).Carcinogenic and non-carcinogenic health risks were computed based on the HMs concentration in the soil and rice grain,with Pb,Cr,and Ni identified as posing a high risk to human *** Carlo simulation,the solubility-free ion activity model(FIAM),and severity adjusted margin of exposure(SAMOE)were employed to predict health *** hazard quotient(HQ)values for Ni,Cr,Cd,and Pb were>1,indicating a significant non-carcinogenic ***(risk thermometer)results for contaminated zones ranged from low to moderate risk(CrSAMOE:0.05,and NiSAMOE:0.03).Fuzzy-TOPSIS and variable importance plots(from random forest)showed that Ni and Cr were mostly responsible for the toxicity in the rice plant,respectively.A self-organizing map for source classification revealed common origin for the studied HMs with zone 2 exhibiting the highest *** positive matrix factorization model for the source apportionment identified coal mining and transportation as the predominant sources of *** distribution analysis indicated higher contamination near mining sites as compared to distant sampling ***,this study will aid environmental scientists and policymakers controllin

关键词： Coal mine Free ion activity model Monto Carlo Simulation Pollution and Health risk Fuzzy-TOPSIS

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Privacy Enhanced Mobile User Authentication Method Using Motion Sensors

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 3013-3032页

作者： Chunlin Xiong Zhengqiu Weng Jia Liu Liang Gu Fayez Alqahtani Amr Gafar pradip Kumar Sharma Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen518052China Sangfor Technologies Inc. Shenzhen518055China School of Data Science and Artificial Intelligence Wenzhou University of TechnologyWenzhou325035China College of Computer Science&Technology Zhejiang University of TechnologyHangzhou310023China Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Math&Computer Science Department Faculty of ScienceMenofia UniversityShebin El-KomEgypt Computing Science Department University of AberdeenAberdeenUK

With the development of hardware devices and the upgrading of smartphones,a large number of users save privacy-related information in mobile devices,mainly smartphones,which puts forward higher demands on the protection of mobile users’privacy *** present,mobile user authenticationmethods based on humancomputer interaction have been extensively studied due to their advantages of high precision and non-perception,but there are still shortcomings such as low data collection efficiency,untrustworthy participating nodes,and lack of *** this end,this paper proposes a privacy-enhanced mobile user authentication method with motion sensors,which mainly includes:(1)Construct a smart contract-based private chain and federated learning to improve the data collection efficiency of mobile user authentication,reduce the probability of the model being bypassed by attackers,and reduce the overhead of data centralized processing and the risk of privacy leakage;(2)Use certificateless encryption to realize the authentication of the device to ensure the credibility of the client nodes participating in the calculation;(3)Combine Variational Mode Decomposition(VMD)and Long Short-TermMemory(LSTM)to analyze and model the motion sensor data of mobile devices to improve the accuracy of model *** experimental results on the real environment dataset of 1513 people show that themethod proposed in this paper can effectively resist poisoning attacks while ensuring the accuracy and efficiency of mobile user authentication.

关键词： Mobile authentication blockchain federated learning smart contract certificateless encryption VMD LSTM

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Prevalence and impact of diabetes and prediabetes on presentation and complications of primary hyperaldosteronism at diagnosis

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World Journal of Clinical Cases 2024年第18期12卷 3332-3339页

作者： Debmalya Sanyal pradip Mukhopadhyay Sujoy Ghosh Department of Endocrinology NHRTIICS&KPC Medical CollegeKolkata 700032West BengalIndia Department of Endocrinology IPGME&R and SSKM HospitalKolkata 700020West BengalIndia Department of Endocrinology IPGME&RKolkata 700020West BengalIndia

BACKGROUND Primary hyperaldosteronism(PH)is considered to contribute to increased risk of developing type 2 diabetes mellitus(T2DM)and *** PH and DM are associated with increased risk for hypertension,cardiovascular diseases,and chronic kidney ***,data on prevalence of T2DM and prediabetes in PH,and impact of T2DM and prediabetes on presentation and cardio renal complications in PH at presentation is *** To determine the prevalence of T2DM and prediabetes in PH at diagnosis and impact on presentation and complications of *** A retrospective cohort study was conducted in tertiary care settings in individuals with confirmed diagnosis of PH at *** variables,clinical presentations,duration and degree of hypertension,complications,laboratory parameters including sodium,potassium levels,plasma aldosterone concentration(PAC),plasma renin activity(PRA),and aldosterone to renin ratio(ARR)and cardio-renal parameters were *** was done between three groups:PH with no DM(Group A)or with pre-diabetes(Group B)or with T2DM(Group C).P<0.05 was statistically *** Among 78 individuals with confirmed PH,62%had pre-diabetes or diabetes;with 37%having *** duration of T2DM was 5.97±4.7 *** mean levels of glycaemic parameters among the group A vs B vs C individuals were fasting plasma glucose(mg/dL):87.9±6.5,105.4±9.02,130.6±21.1;post prandial plasma glucose(mg/dL):122.7±9.8,154.9±14,196.7±38.0;glycated haemoglobin(%)(5.3±0.2,5.9±0.2,7.5±0.6,P<0.05),*** was no significant difference in the biochemical parameters(PAC,PRA,ARR,sodium,potassium levels),presentation and complications between the *** renal parameters or degree and duration of hypertension were comparable between the *** Significant prevalence of T2DM and prediabetes in PH at diagnosis does not impact its presentation or *** screening for undetected PH in T2DM and prediabete

关键词： Primary hyperaldosteronism Diabetes Prediabetes Hypertension Aldosterone Aldosterone to renin ratio

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Analytical Approach for Nonlinear Partial Differential Equations of Fractional Order

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Communications in Theoretical Physics 2013年第9期60卷 269-277页

作者： pradip Roul Visvesvaraya National Institute of Technology Department of Mathematics

The purpose of the paper is to present analytical and numerical solutions of a degenerate parabolic equation with time-fractional derivatives arising in the spatial diffusion of biological populations. The homotopy-perturbation method is employed for solving this class of equations, and the time-fractional derivatives are described in the sense of Caputo. Comparisons are made with those derived by Adomian＇s decomposition method, revealing that the homotopy perturbation method is more accurate and convenient than the Adomian＇s decomposition method. Furthermore, the results reveal that the approximate solution continuously depends on the time-fractional derivative and the proposed method incorporating the Caputo derivatives is a powerful and efficient technique for solving the fractional differential equations without requiring linearization or restrictive assumptions. The basis ideas presented in the paper can be further applied to solve other similar fractional partial differential equations.

关键词： reaction-diffusion equation fractional calculus Homotopy-perturbation method biological pop-ulation model Mittag-Leffler function

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Euler-Euler CFD modeling of fluidized bed:Influence of specularity coefficient on hydrodynamic behavior

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Particuology 2013年第6期11卷 673-680页

作者： Chanchal Loha Himadri Chattopadhyay pradip K.Chatterjee Thermal Engineering Group CSIR-Central Mechanical Engineering Research Institute Department of Mechanical Engineering Jadavpur University

Euler-Euler two-fluid model is used to simulate the hydrodynamics of gas-solid flow in a bubbling flu- idized bed with Geldert B particles where the solid property is calculated by applying the kinetic theory of granular flow （KTGF）. Johnson and Jackson wall boundary condition is used for the particle phase, and different amount of slip between particle and wall is given by varying the specularity coefficient （φ） from 0 to 1. The simulated particle velocity, granular temperature and particle volume fraction are compared to investigate the effect of different wall boundary conditions on the hydrodynamic behavior, Some of the results are also compared with the available experimental data from the literature. It was found that the model predictions are sensitive to the specularity coefficient. The hydrodynamic behavior deviated sig- nificantly for φ = 0 and φ = 0.01 with maximum deviation found at φ = 0 i.e. free-slip condition. However, the overall bed height predicted by all the conditions is similar.

关键词： Fluidized bed Hydrodynamics Specularity coefficient CFD

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Okadaic acid: a tool to study regulatory mechanisms for neurodegeneration and regeneration in Alzheimer's disease

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Neural Regeneration Research 2015年第3期10卷 365-367页

作者： pradip Kumar Kamat Chandishwar Nath Division of Physiology and Biophysics University of LouisvilleSchool of Medicine Division of Pharmacology Central Drug Research Institute(CDRI)

Okadaic acid： Okadaic acid （OKA）, a polyether （C38 fatty acid） toxin, is a potent and selective inhibitor of protein phosphatase, PP1 and protein phosphatase 2A （PP2A）. It is mainly extracted from a black sponge Hallichondria okadaii and has been suggested to play a potent probe for studying the various molecular, cellular, biochemical and mechanism of neurotoxicity. It is known as a selective and potent in- hibitor of serine/threonine phosphatases 1 and 2A induces hyperphosphorylation of tau in vitro and in vivo. It has been reported that Alzheimer＇s disease （AD） is a complex multi- factorial neurodegenerative disorder and hyperphosphor- ylated tau protein is a major pathological hallmark of AD. The reduced activity of phosphatases like, PP2A has been implicated in the brain of AD patients. OKA also induced inhibition of protein phosphatases cause neurofibrillary tangles （NFTs） like pathological changes and tau hyperphos- phorylation seen in AD pathology. Our and others reports inferred that OKA induces neurodegeneration along with tau hyperphosphorylation, GSK3β activation, oxidative stress, neuroinflammation and neurotoxicity which are char- acteristic of AD pathology （Figure 1）.

关键词： a tool to study regulatory mechanisms for neurodegeneration and regeneration in Alzheimer’s disease Okadaic acid AD

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Streptozotocin induced Alzheimer's disease like changes and the underlying neural degeneration and regeneration mechanism

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Neural Regeneration Research 2015年第7期10卷 1050-1052页

作者： pradip Kumar Kamat Department of Anasthesiology Center for Translational Research in Neurodegenerative Disease College of MedicineUniversity of Florida

Alzheimer’s disease（AD）is a neurodegenerative disorder which is remarkably characterized by pathological hallmarks that include neurofibrillary tangles,neuronal loss extracellular senile plaques containing aggregated amyloid beta（Aβ）,and neurofibrillary tangles composed of the hyperphosphorylated form of the microtubule protein *** is the most common form of dementia which is characterized by severe neurodegenerative changes such as loss of neurons and synapses in brain（Kamat et al.,2014）.

关键词： STZ Streptozotocin induced Alzheimer’s disease like changes and the underlying neural degeneration and regeneration mechanism AD

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