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| 1 | Control of CD4^(+) T cells to restrain inflammatory diseases via eukaryotic elongation factor 2 kinase显示文摘CD4^(+)T cells,particularly IL-17-secreting helper CD4^(+)T cells,play a central role in the inflammatory processes underlying autoimmune disorders.Eukaryotic Elongation Factor 2 Kinase(eEF2K)is pivotal in CD8^(+)T cells and has important implications in vascular dysfunction and inflammation-related diseases such as hypertension.However,its specific immunological role in CD4^(+)T cell activities and related inflammatory diseases remains elusive.Our investigation has uncovered that the deficiency of eEF2K disrupts the survival and proliferation of CD4^(+)T cells,impairs their ability to secrete cytokines.Notably,this dysregulation leads to heightened production of pro-inflammatory cytokine IL-17,fosters a pro-inflammatory microenvironment in the absence of eEF2K in CD4^(+)T cells.Furthermore,the absence of eEF2K in CD4^(+)T cells is linked to increased metabolic activity and mitochondrial bioenergetics.We have shown that eEF2K regulates mitochondrial function and CD4^(+)T cell activity through the upregulation of the transcription factor,signal transducer and activator of transcription 3(STAT3).Crucially,the deficiency of eEF2K exacerbates the severity of inflammation-related diseases,including rheumatoid arthritis,multiple sclerosis,and ulcerative colitis.Strikingly,the use of C188-9,a small molecule targeting STAT3,mitigates colitis in a murine immunodeficiency model receiving eEF2K knockout(KO)CD4^(+)T cells.These findings emphasize the pivotal role of eEF2K in controlling the function and metabolism of CD4^(+)T cells and its indispensable involvement in inflammation-related diseases.Manipulating eEF2K represents a promising avenue for novel therapeutic approaches in the treatment of inflammation-related disorders. | Hao-Yun Peng Liqing Wang Jugal Kishore Das Anil Kumar Darby JBallard Yijie Ren Xiaofang Xiong Paul de Figueiredo Jin-Ming Yang Jianxun Song | 2023 | Signal Transduction and Targeted Therapy2023，8，11： | 1 |
| 2 | Uniform Convergence Analysis of Finite Difference Scheme for Singularly Perturbed Delay Differential Equation on an Adaptively Generated Grid显示文摘Adaptive grid methods are established as valuable computational technique in approximating effectively the solutions of problems with boundary or interior layers. In this paper,we present the analysis of an upwind scheme for singularly perturbed differential-difference equation on a grid which is formed by equidistributing arc-length monitor function.It is shown that the discrete solution obtained converges uniformly with respect to the perturbation parameter.Numerical experiments illustrate in practice the result of convergence proved theoretically. | Jugal Mohapatra Srinivasan Natesan | 2010 | Numerical Mathematics(Theory,Methods and Applications)2010，3，1： | 1 |
| 3 | Elastic Energy-Driven Phase Separation of Phospholipid Monolayers at the Nematic Liquid-Crystal-Aqueous Inter- face显示文摘 | GUPTA Jugal K MELI Maria-Victoria TEREN Sarah | 2008 | Physical Review Letters2008，100，： | 1 |
| 4 | Numerical, hy- draulic,and hemolytic evaluation of an intravascular axial flow blood pump to mechanically support fontan patients 显示文摘 | AMY L T JUGAL Y K STEVEN G C | 2011 | An- nals of Biomedical Engineering2011，39，1： | 1 |
| 5 | Persistent Sonic Hedgehog Signaling in Adult Brain Determines Neural Stem Cell Positional Identity显示文摘 | Rebecca A. Ihrie Jugal K. Shah Corey C. Harwell Jacob H. Levine Cristina D. Guinto Melissa Lezameta Arnold R. Kriegstein Arturo Alvarez-Buylla | 2011 | Neuron2011，，2： | 1 |
| 6 | Manifestations and risk factors of COVID-19 and mucormycosis:A mini-review显示文摘Coronavirus disease 2019(COVID-19)caused by severe acute respiratory syndrome coronavirus 2 has become a pandemic disease.It also increases the risk of co-infections.Mucormycosis is a severe fungal infectious disease and its causative agent,mucormycetes,belongs to an opportunist fungus Mucoraceae family.Mucormycosis in COVID-19 patients with mucormycosis presents an additional challenge worldwide.Mucormycosis shares certain risk factors and signs and symptoms with COVID-19.In this review,we summarize manifestations and risk factors of mucormycosis and COVID-19. | Jugal Sutradhar Bapi Ray Sarkar | 2021 | Journal of Acute Disease2021，10，6： | 1 |
| 7 | Understanding survival anal- ysis : Kaplan-Meier estimate 显示文摘 | Manish KG Pardeep K Jugal K | 2010 | 1 (4) : 247-2782010，1，4： | 1 |
| 8 | An Improved Analysis of Masses and Decay Constants of Heavy Flavour Mesons within Variational Approach显示文摘We employ the variational method to study the properties such as masses, decay constants, oscillation frequency and branching ratios of leptonic decays of heavy flavour mesons with linear cum coulomb Cornell potential.Gaussian function, Coulomb wave function and Airy function are taken as the trial wave-function of variational method in this study. Our analysis suggests that Gaussian trial wave-function provides results which are in close proximity with the experimental results. We also make a comparison with the results from QCD Sum rules and lattice QCD, as well as with recent PDG data. | Jugal Lahkar D.K.Choudhury B.J.Hazarika | 2019 | Communications in Theoretical Physics2019，71，1： | 0 |
| 9 | Double Subordination Preserving Properties for a New Generalized Srivastava-Attiya Integral Operator显示文摘The authors obtain subordination and superordination preserving properties for a new defined generalized operator involving the Srivastava-Attiya integral operator. Differential sandwich-type theorems for these univalent functions, and some consequences involving well-known special functions are also presented. | Jugal K.PRAJAPAT Teodor BULBOACA | 2012 | Chinese Annals of Mathematics,Series B2012，33，4： | 0 |
| 10 | A data reduction scheme for active authentication of legitimate smartphone owner using informative apps ranking显示文摘Smartphones are vulnerable to fraudulent use despite having strong authentication mechanisms.Active authentication based on behavioral biometrics is a solution to protect the privacy of data in smart devices.Machinelearning-based frameworks are effective for active authentication.However,the success of any machine-learningbased techniques depends highly on the relevancy of the data in hand for training.In addition,the training time should be very efficient.Keeping in view both issues,we’ve explored a novel fraudulent user detection method based solely on the app usage patterns of legitimate users.We hypothesized that every user has a unique pattern hidden in his/her usage of apps.Motivated by this observation,we’ve designed a way to obtain training data,which can be used by any machine learning model for effective authentication.To achieve better accuracy with reduced training time,we removed data instances related to any specific user from the training samples which did not contain any apps from the user-specific priority list.An information theoretic app ranking scheme was used to prepare a user-targeted apps priority list.Predictability of each instance related to a candidate app was calculated by using a knockout approach.Finally,a weighted rank was calculated for each app specific to every user.Instances with low ranked apps were removed to derive the reduced training set.Two datasets as well as seven classifiers for experimentation revealed that our reduced training data significantly lowered the prediction error rates in the context of classifying the legitimate user of a smartphone. | Abdulaziz Alzubaidi Swarup Roy Jugal Kalita | 2019 | Digital Communications and Networks2019，5，4： | 0 |
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