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Chinese Physics Letters 2010年第8期27卷 275-278页

作者： atul tyagi Keerti Sharma Department of Mathematics and Statistics College of Science MLS University Udaipur 313001 India Department of Mathematics Medi-Caps Institute of Technology and Management A.B. Road Pigdambar Indore 453331 India

We investigate the Bianchi type-V magnetized string cosmological model with variable magnetic permeability for viscous fluid distribution. The magnetic field is due to an electric current produced along the x-axis. Thus the magnetic field is in yz-plane and F23 is the only non-vanishing component of electromagnetic field tensor Fij. To obtain the deterministic model in terms of cosmic time t, we assume the condition ξθ const where ξ is the coefficient of bulk viscosity and θ the expansion in the model.

关键词： Magnetic fields Viscosity Cosmological models

Locally Rotationally Symmetric Bianchi Type-II Magnetized String Cosmological Model with Bulk Viscous Fluid in General Relativity

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Chinese Physics Letters 2011年第8期28卷 364-367页

作者： atul tyagi Keerti Sharma Department of Mathematics and Statistics University College of ScienceMLS UniversityUdaipur 313001(Raj.)India Department of Mathematics Medi-caps Institute of Technology and ManagementIndore(MP)India

The locally rotationally symmetric Bianchi type-II magnetized string cosmological model with bulk viscous fluid is *** magnetic field is due to an electric current produced along the x−*** the magnetic field is in the y–z plane and F23 is the only non−vanishing component of electromagnetic field tensor *** obtain the deterministic model in terms of cosmic time t,we have assumed the conditionξθ=const,whereξis the coefficient of bulk viscosity andθis the expansion in the model.

关键词： Bianchi string Cosmo

Bianchi Type-IX String Cosmological Models for Perfect Fluid Distribution in General Relativity

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Chinese Physics Letters 2010年第7期27卷 299-301页

作者： atul tyagi Keerti Sharma Payal Jain Department of Mathematics and Statistics College of Science MLS University Udaipur-313001 India Department of Mathematics Techno India NJR Institute of Technology Udaipur-313004 India

The present study deals with Bianchi type-IX string cosmological models for perfect fluid distribution. We consider two cases：（i） ρ ＋ λ = 0, （ii） ρ - λ = 0, where ρ and λ are the rest energy density and the tension density of a string cloud, respectively. The physical and geometrical properties of the models are discussed.

关键词： Clouds Cosmological models Relativity theory

Ameliorative Effects of Paclobutrazol via Physio-Biochemical and Molecular Manifestation in Rice under Water Deficit Stress

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Rice science 2024年第5期31卷 603-616,I0065页

作者： Chirag MAHESHWARI Nitin Kumar GARG Archana SINGH Aruna tyagi Indian Council of Agricultural Research-Indian Agricultural Research Institute New Delhi 110012India Sri Karan Narendra Agricultural University JobnerRajasthan 303329India

To comprehensively explore the physio-biochemical and molecular changes of paclobutrazol(PBZ) at the ideal dose under water deficit stress(WDS) conditions, we investigated the effects of 100 mg/kg PBZ applied via drenching on various physio-biochemical and molecular parameters in three rice varieties(N22, IR64, and IR64 DTY1.1) under both mild [75%-80% relative water content(RWC)] and severe(60%-65% RWC) WDS conditions. The results showed that PBZ treatment positively influenced the physio-biochemical parameters, significantly increasing dry matter(16.27%-61.91%), RWC(6.48%-16.34%), membrane stability index(4.37%-10.35%), and total chlorophyll content(8.97%-29.09%) in the rice varieties under both mild and severe WDS. Moreover, PBZ treatment reduced drought susceptibility(0.83-0.95) and enhanced drought tolerance efficiency(60.92%-86.78%), indicating its potential as a stress-mitigating agent. Global methylation analysis revealed changes in DNA methylation patterns, indicating the regulatory influence of PBZ on gene expression. The expression analysis of genes involved in the diversification of geranylgeranyl pyrophosphate towards the biosynthesis of abscisic acid, gibberellin acid, and chlorophyll showed alterations in their expression levels, suggesting the involvement of PBZ in the isoprenoid pathway. Overall, this study provides valuable insights into the potential mechanisms by which PBZ modulates physiological and molecular responses in rice plants under WDS. The findings highlight the importance of PBZ as a promising agent for enhancing drought tolerance in rice and offer valuable information for future research in crop stress management.

关键词： rice paclobutrazol drought stress abscisic acid gibberellic acid

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On the Zeros of a Special Class of Polynomials

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Journal of Mathematical Research with Applications 2024年第4期44卷 470-474页

作者： Mahnaz Shafi CHISHTI Vipin Kumar tyagi Mohammad Ibrahim MIR School of Basic and Applied Sciences Shobhit Institute of Engineering and Technology (Deemed to be University) Department of Mathematics University of KashmirSouth Campus

Let P be a complex polynomial of the form P （z）=（λz-a）mΠj=1n-m（z-zj）,where|zj|≥1,1≤j≤*** aim of this paper is to obtain generalisation of a result due to Zargar and Manzoor and a result due to Mir,Nazir and... 详细信息

关键词： bound coefficient polynomial zeros

Identification and Molecular Docking Mechanism of Novel Anti-Inflammatory Peptides from Lactobacillus paraplantarum Fermented Cannabis sativa L. (hemp) Seeds

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Food Science and Human Wellness 2024年

作者： LingYue Shan Akanksha tyagi HunJu Ham Deog Hwan Oh Department of Food Science and Biotechnology， College of Agriculture and Life Sciences， Kangwon National University Future F Biotech Co.， Ltd Department of Biological Environment， College of Agriculture and Life Sciences， Kangwon National University

The inflammatory response is a crucial physiological process that can lead to tissue damage and is considered a causative factor for various chronic diseases， such as rheumatoid arthritis. Recent research has focused on exploring valuable nutrients derived from Cannabis sativa L. (hemp) seeds， particularly hemp seed proteins. Therefore， this study aimed to investigate the release of anti-inflammatory peptides from Lactobacillus paraplantarum-fermented hemp seed proteins. To confirm the complete hydrolysis of hemp seed proteins during the fermentation process， SDS-PAGE was employed. Further， the isolation and purification of peptides were achieved through ultrafiltration. The identity of peptides was nextly established using ultra-high-performance liquid chromatography coupled with hybrid quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS). The results revealed a total of 39 identified peptides in fermented hemp seeds， with 9 peptides selected based on their relative quantity. Notably， AAELIGVP (P1)， AAVPYPQ (P2)， VFPEVAP (P4)， DVIGVPLG (P6)， and PVPKVL (P9) demonstrated strong anti-inflammatory abilities in LPS-induced Raw 264.7 macrophage cells. Molecular docking was used to understand the potential anti-inflammatory mechanism of these five peptides， and in silico results indicated that P1， P2， P4， P6， and P9 could bind to the active sites of TLR-4， NF-kB， and IKK with higher binding energies. Overall， these findings indicate that hemp seeds have potential to be a source of bioactive peptides for functional foods with anti-inflammatory properties.

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Structural insights on anti-biofilm mechanism of heated slightly acidic electrolyzed water technology against multi-resistant Staphylococcus aureus biofilm on food contact surface

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Food Science and Human Wellness 2024年第3期13卷 1556-1566页

作者： Pianpian Yan Ramachandran Chelliah Kyoung Hee Jo Xiuqin Chen Akanksha tyagi Hyeon Yeong Jo Fazle Elahi Nam Chan Woo Min Seung Wook Deog Hwan Oh Department of Food Science and Biotechnology College of Agriculture and Life SciencesKangwon National UniversityChuncheon 24341South Korea Kangwon Institute ofInclusive Technology(KIIT) Kangwon National UniversityChuncheon 24341South Korea Saveetha School of Engineering (SIMATS)UniversitySriperumbudur 600124India Seoulin Bioscience Company Seongnam-si 13488South Korea

Slightly acidic electrolyzed water(SAEW)has proven to be an efficient and novel sanitizer in food and agriculture *** study assessed the efficacy of SAEW(30 mg/L)at 40℃on the inactivation of foodbome pathogens and detachment of multi-resistant Staphylococcus aureus(MRSA)*** underlying mechanism of MRS A biofilm under heated SAEW at 40℃treatment on metabolic profiles was *** results showed that the heated SAEW at 40℃significantly effectively against foodbome pathogens of 1.96-7.56(lg(CFU/g))reduction in pork,chicken,spinach,and *** heated SAEW at 40℃treatment significantly reduced MRS A biofilm cells by 2.41(lg(CFU/cm^(2))).The synergistic effect of SAEW treatment showed intense anti-biofilm activity in decreasing cell density and impairing biofilm cell *** metabolic response of MRSA biofilms,treated by SAEW at 40℃,revealed the alterations of intracellular metabolites,including amino acids,organic acid,fatty acid,and ***,signaling pathways involved in amino acid metabolism,energy metabolism,nucleotide synthesis,carbohydrate metabolites,and lipid biosynthesis were functionally disrupted by the SAEW at 40℃*** per our knowledge,this is the first research to uncover the potential mechanism of heated SAEW treatment against MRSA biofilm on food contact surface.

关键词： Multi-resistant Staphylococcus aureus Metabolic profile SAEW Biofilm Hurdle technology Electrode material

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Chronic social defeat stress‑induced depression reduces BCG efficacy by promoting regulatory T‑cell levels in mice

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Animal Diseases 2024年第2期4卷 115-126页

作者： Rohit tyagi Xi Chen Atika Dhar Bing Yang Wei Zhou Aikebaier Reheman Yingying Lei Gang Cao National Key Laboratory of Agricultural Microbiology College of Veterinary MedicineHuazhong Agricultural UniversityWuhan 430070China National Institute of Immunology New Delhi 110067India College of Animal Science and Technology Tarim UniversityAlar 843300China Bio‑Medical Center Huazhong Agricultural UniversityWuhan 430070China

Despite the initial successes of the Bacillus Calmette-Guerin(BCG)vaccine in children,its efficacy against tuberculosis is highly *** is a lack of understanding about how mental conditions influence BCG ***,we used the chronic social defeat stress(CSDS)model to explore the effects of depression on BCG vaccination *** observed higher lung and spleen bacterial loads and a lower organ index in depressed compared to BCG ***,a relatively lower T cell protective efficacy was observed in both compared to control and BCG mice via a mycobacterium growth inhibition assay(MGIA).Cytokine expression of IL-12p40,IL-1β,IL-17,TNF-αand IFN-γwas reduced,whereas the expression of IL-10 and IL-5 was increased in the spleen of both compared to BCG ***,the proportions of CD4^(+)IFN-γ^(+),CD8^(+)IFN-γ^(+)T lymphocytes and CD4^(+)effector/central memory T cells were reduced in the splenocytes of the depressed BCG *** promotes CD4^(+)regulatory T cells(Treg)and myeloid-derived suppressor cell(MDSC)generation in depressed mice,contributing to the reduced pro-inflammatory immune response upon BCG *** study provides insight into the decreased protective immunity by BCG vaccination attributable to depression in mice.

关键词： BCG Vaccine efficacy Treg Immune suppression Depression

Deep Learning-Based Speech Emotion Recognition: Leveraging Diverse Datasets and Augmentation Techniques for Robust Modeling

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Journal of Harbin Institute of Technology(New series) 2024年

作者： Ayush Porwal Praveen Kumar tyagi Ajay Sharma Dheeraj Kumar Agarwal Department of Electronics and Instrumentation Engineering， Shri G.S.Institute of Technology and Science Department of Electronics and Communication Engineering， Maulana Azad National Institute of Technology School of Computing Science and Engineering， VIT Bhopal University

In recent years， Speech Emotion Recognition (SER) has developed into an essential instrument for interpreting human emotions from auditory data. The proposed research focused on the development of a SER system employing deep learning and multiple datasets containing samples of emotive speech. The primary objective of this research endeavor is to investigate the utilization of Convolutional Neural Networks (CNNs) in the process of sound feature extraction. Stretching， pitch manipulation， and noise injection are a few of the techniques utilized in this study to improve the data quality. The investigation includes coverage of these methods. Feature extraction methods including Zero Crossing Rate， Chroma＿stft， MFCC， RMS， and MelSpectogram are used to train a model. By using these techniques， audio signals can be transformed into recognized features that can be utilized to train the model. Ultimately， the study will produce a thorough evaluation of the model’s performance. When this method was applied， the model achieved an impressive accuracy of 94.57% on the test dataset. Proposed work also validated on EMO-BD and IEMOCAP dataset. These consist of further data augmentation， feature engineering， and hyperparameter optimization. By following these development paths， SER systems will be able to be implemented in real-world scenarios with greater accuracy and resilience.

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Artificial neural network based modeling of liquid membranes for separation of dysprosium

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Journal of Rare Earths 2023年第3期41卷 440-445,I0005页

作者： Jawad Iqbal Arjun tyagi Manish Jain Department of Applied Chemistry Delhi Technological UniversityDelhi110042India

In recent years,the liquid membrane process has been widely investigated to remove rare earth ***,transport modeling of this process requires the accurate values of several parameters,which are difficult to ***,the accurate simulation of this process is a challenging *** this study,the artificial neural network(ANN)based approach is used to model the liquid membrane process for removing *** results from a previous study were used to train the ***,the number of neurons in the hidden layer was *** minimum mean squared error between experimental results and model predictions is found with ten *** predictions were successfully validated with experimental results with correlation factor(R)of 0.9987,which confirms the authenticity of the trained *** ANN was then used to study the effects of different operating parameters on transport *** higher volume ratio of membrane solution to feed solution(3-4)with 50-60 min of operation,higher feed pH(5),HCl concentration in stripping solution of 2 mol/L,and moderate concentration of carrier species(0.5 mol/L)with 0.5×10^(-4) mol/L dysprosium initial concentration are found to be optimum values of operating conditions for maximizing the transport rate.

关键词： Rareearth metal separation Artificial neural network Dysprosium separation Liquid membranes

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