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Assessment of soil microbial and enzyme activity in the rhizosphere zone under different land use/cover of a semiarid region, India

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Ecological Processes 2021年第1期10卷 225-236页

作者： Archana Meena K.S.Rao Department of Botany University of RajasthanJaipurRajasthan 302004India. Natural Resource Management Laboratory Department of BotanyUniversity of DelhiNorth CampusDelhi 110007India.

Background:Land use/cover and management practices are widely known to influence soil organic matter(SOM)quality and *** present study investigated the effect of different land use,i.e.,forests *** forest cover(MFC),Prosopis juliflora(Sw.)DC-dominated forest cover(PFC),and cultivated sites *** field(AF),vegetable field(VF),respectively,on soil parameter,microbial activity,and enzymes involved in soil nutrient cycle in a semiarid region of ***:The results showed a significant reduction(P<0.05)in soil carbon(SC),soil nitrogen(SN)content(~30–80%)and consequently the soil microbial biomass carbon(SMBC)(~70–80%),soil basal respiration(SBR),soil substrate-induced respiration(SSIR),and soil enzyme activities(β-glucosidase,acid phosphatase,and dehydrogenase)under cultivated sites in comparison with forest ***’s correlation showed that a positive correlation of SC with SMBC,SBR,SSIR(P<0.01),and enzymatic activities(i.e.,β-glucosidase,dehydrogenase)(P<0.05)may imply the critical role of SC in regulating microbial and enzymatic ***,a positive correlation of soil moisture with urease activity(P<0.01)was found suggesting it as a significant abiotic factor for soil biological ***,based on the PCA analysis,we observed the clustering of SMBC/SC ratio and qCO_(2) nearby ***:Our study suggests that soil microbial parameters(SMBC,SBR,SSIR,SMBC/SC,qCO_(2))and enzyme activity are key indicators of soil health and *** use/cover alters the SOM content and soil microbial *** management strategies focusing on the conservation of natural forest and minimizing the land disturbances will be effective in preventing soil carbon flux as CO_(2) and maintaining the SC stock.

关键词： Land use changes Soil microbes Soil enzymes Semiarid ecosystems Land management practices

An efficient computational technique for time-fractional modified Degasperis-Procesi equation arising in propagation of nonlinear dispersive waves

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Journal of Ocean Engineering and Science 2021年第1期6卷 30-39页

作者： Ved Prakash Dubey Rajnesh Kumar Jagdev Singh Devendra Kumar Faculty of Mathematical and Statistical Sciences Shri Ramswaroop Memorial UniversityLucknow-Deva RoadUttar Pradesh-225003India Department of Applied Science and Humanities Government Engineering CollegeNawadaDepartment of Science and TechnologyBihar-805122India Department of Mathematics JECRC UniversityJaipur-303905RajasthanIndia Department of Mathematics University of RajasthanJaipur-302004RajasthanIndia

In this paper,an efficient hybrid numerical scheme which is based on a joint venture of the q-homotopy analysis method and Sumudu transform is applied to investigate the time-fractional modified Degasperis-Procesi(DP)*** present study considers the Caputo fractional *** fractional order modified DP model is very important and plays a great role in study of ocean engineering and *** proposed scheme provides a beautiful opportunity for proper selection of the auxiliary parameter h and the asymptotic parameterρ(≥1)to handle mainly the differential equations of nonlinear *** offered scheme produces the solution in the shape of a convergent series in a large admissible domain which is helpful to regulate the region of convergence of a series *** proposed work computes the approximate analytical solution of the fractional modified DP equation systematically and also presents graphically the variation of the obtained solution for diverse values of the fractional parameterβ.

关键词： Fractional Degasperis-Procesi equation Nonlinear dispersive waves Analytical solution q-homotopy analysis method Sumudu transform

A Review and Analysis of Localization Techniques in Underwater Wireless Sensor Networks

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Computers, Materials & Continua 2023年第6期75卷 5697-5715页

作者： Seema Rani Anju Anupma Sangwan Krishna Kumar Kashif Nisar Tariq Rahim Soomro Ag.Asri Ag.Ibrahim Manoj Gupta Laxmi Chandand Sadiq Ali Khan Department of CSE Guru Jambheshwar University of Science&TechnologyHisar125001India Department of Hydro and Renewable Energy Indian Institute of Technology RoorkeeIndia College of Computer Science and Information Systems Institute of Business ManagementKorangi Creek RoadKarachi75190SindhPakistan Faculty of Computing and Informatics Universiti Malaysia SabahJalan UMSKota Kinabalu88400SabahMalaysia Department of Electronics and Communication Engineering JECRC UniversityJaipurRajasthanIndia Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan

In recent years,there has been a rapid growth in Underwater Wireless Sensor Networks(UWSNs).The focus of research in this area is now on solving the problems associated with large-scale *** of the major issues in such a network is the localization of underwater *** is required for tracking objects and detecting the *** is also considered tagging of data where sensed contents are not found of any use without *** is useless for application until the position of sensed content is *** article’s major goal is to review and analyze underwater node localization to solve the localization issues in *** present paper describes various existing localization schemes and broadly categorizes these schemes as Centralized and Distributed localization schemes ***,a detailed subdivision of these localization schemes is ***,these localization schemes are compared from different *** detailed analysis of these schemes in terms of certain performance metrics has been discussed in this *** the end,the paper addresses several future directions for potential research in improving localization problems of UWSN.

关键词： Underwater wireless sensor networks localization schemes node localization ranging algorithms estimation based prediction based

DTM Simulation of Peristaltic Viscoelastic Biofluid Flow in Asymmetric Porous Media： A Digestive Transport Model

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Journal of Bionic Engineering 2015年第4期12卷 643-655页

作者： Dharmendra Tripathi Osman Anwar Beg Praveen Kumar Gupta Ganjam Radhakrishnamacharya Jagannath Mazumdar Department of Mechanical Engineering Manipal University Jaipur Jaipur 303007 India Gort Engovation-Bio-Propulsion Research Gabriel's Wing House Bradford BD6 1FA UK Department of Mathematics National Institute of Technology Silchar Silchar 788010 India Department of Mathematics National Institute of Technology Warangal 506004 India School of Electrical & Electronic Engineering The University of Adelaide Adelaide SA 5005 Australia

A biofluid dynamics mathematical model is developed to study peristaltic flow of non-Newtonian physiological liquid in a two-dimensional asymmetric channel containing porous media as a simulation of obstructed digestive （intestinal） transport. The fractional Oldroyd-B viscoelastic rheological model is utilized. The biophysical flow regime is constructed as a wave-like motion and porous medium is simulated with a modified Darcy-Brinkman model. This model is aimed at describing the diges- tive transport in intestinal tract containing deposits which induce impedance. A low Reynolds number approximation is em- ployed to eliminate inertial effects and the wavelength to diameter ratio is assumed to be large. The differential transform method （DTM）, a semi-computational technique is employed to obtain approximate analytical solutions to the boundary value problem. The influences of fractional （rheological material） parameters, relaxation time, retardation time, amplitude of the wave, and permeability parameter on peristaltic flow characteristics such as volumetric flow rate, pressure difference and wall friction force are computed. The present model is relevant to flow in diseased intestines.

关键词： peristaltic transport fractional Oldroyd-B model porous medium differential transform method asymmetricchannel obstructed digestive flow

Recognition of complex and multiple power quality disturbances using wavelet packet-based fast kurtogram and ruled decision tree algorithm

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第5期12卷 20-42页

作者： Rajendra Mahla Baseem Khan Om Prakash Mahela Anup Singh Department of Electrical Engineering National Institute of Technology Kurukshetra India Department of Electrical and Computer Engineering Hawassa university Ethiopia Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Limited JaipurIndia Department of Electrical Engineering Apex Institute of Engineering and Technology JaipurIndia

This paper introduces an algorithm based on wavelet packet supported fast kurtogram and decision rules for the identification and classification of complex power quality(PQ)*** are extracted from the signals using fast kurtogram,envelope of filtered voltage signal and amplitude spectrum of squared *** algorithm can be implemented for the recognition of the complex PQ disturbances,which include the combination of voltage sag and harmonics,voltage momentary interruption(MI)and oscillatory transient(OT),voltage MI and harmonics,voltage sag and impulsive transient(IT),voltage sag,OT,IT and *** work has been performed using the MATLAB *** of the algorithm is compared with performance of algorithm supported by discrete wavelet transform(DWT)and fuzzy C-means clustering(FCM).

关键词： Fast kurtogram power quality disturbance ruled-based decision tree wavelet packet transform

SARS-CoV-2 And The Gastrointestinal Disorders

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TMR Theory and Hypothesis 2021年第4期4卷 549-558页

作者： SADIQUE HUSSAIN CHANDAN MOHAPATRA KESHAV TRIVEDI LAKSHIKA GUPTA HARSHIT BAWEJA School of Pharmaceutical Sciences Jaipur National UniversityJagatpura 302017JaipurRajasthanIndia School of Engineering and Technology Jaipur National UniversityJagatpura 302017JaipurRajasthanIndia.

Since the 1918 influenza pandemic, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has produced the largest pandemic throughout the globe. SARS-CoV and the Middle East respiratory syndrome (MERS-CoV) are both members of the Beta CoV. The coronavirus disease of 2019 (COVID-19) has terrible implications and is currently a serious health concern throughout the world. SARS-CoV-2 affects the respiratory system first since it is the major site of entrance into the patient, but it can also damage other systems. Aside from the typical respiratory problems, several COVID-19 patients develop gastrointestinal (GI) symptoms such as weight loss, vomiting, nausea, and diarrhea. SARS-CoV-2 may infect the GI system via the angiotensin-converting enzyme 2 (ACE2) receptor, and indications of a fecal-oral transmission pathway are growing. Globally, GI disorders (GIDs) are becoming a major source of morbidity in youth. The condition has a significant financial impact on healthcare systems and hurts people's lives;nonetheless, very little is documented about the condition's worldwide prevalence and incidence. Alterations in gut sensitivity, motility, microbiota, immunological function, and central nervous system processing are all factors that contribute to GIDs. GI malfunction results in changes in changes in gut bacteria as well as an elevation in inflammatory cytokines. As a result, recognizing GI symptoms that precede COVID-19 respiratory issues may be crucial for better early identification and treatment. In GI epithelial cells of the intestinal mucosa, ACE2 and transmembrane protease serine-type 2 were also discovered to be substantially expressed. SARS-CoV-2 may also infect and multiply in both GI and liver cells in a dynamic manner. These findings suggest that SARS-CoV-2 might be a viable target for the GI tract. This review focuses on the GI complications that arise due to COVID-19 and how the CoVs give rise to GI symptoms.

关键词： COVID SARS-CoV-2 gastrointestinal diseases ACE2 intestinal dysfunction

Comparative analysis of Nε-carboxymethyl-lysine and inflammatory markers in diabetic and non-diabetic coronary artery disease patients

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World Journal of Diabetes 2023年第12期14卷 1754-1765页

作者： Dharmsheel Shrivastav Desh Deepak Singh Rashid Mir Pratishtha Mehra Vimal Mehta Pradeep Kumar Dabla Amity Institute of Biotechnology Amity UniversityJaipur 303002RajasthanIndia Department of Biochemistry Govind Ballabh Pant Institute of Postgraduate Medical Education and ResearchDelhi 110002India Department of Medical Lab Technology Faculty of Applied Medical SciencesUniversity of TabukTabuk 71491India Department of Cardiology Govind Ballabh Pant Institute of Postgraduate Medical Education and ResearchDelhi 110002India

BACKGROUND Coronary artery disease(CAD)is a major cause of death worldwide,and India contributes to about one-fifth of total CAD *** development of CAD has been linked to the accumulation of Nε-carboxymethyl-lysine(CML)in heart muscle,which correlates with *** To assess the impact of CML and inflammatory markers on the biochemical and cardiovascular characteristics of CAD patients with and without *** We enrolled 200 consecutive CAD patients who were undergoing coronary angiography and categorized them into two groups based on their serum glycosylated hemoglobin(HbA1c)levels(group I:HbA1c≥6.5;group II:HbA1c<6.5).We analyzed the levels of lipoproteins,plasma HbA1c levels,CML,interleukin-6(IL-6),tumor necrosis factor alpha(TNF-α),and nitric *** Group I (81 males and 19 females) patients had a mean age of 54.2 ± 10.2 years, with a mean diabetes duration of4.9 ± 2.2 years. Group II (89 males and 11 females) patients had a mean age of 53.2 ± 10.3 years. Group I had moresevere CAD, with a higher percentage of patients with single vessel disease and greater stenosis severity in the leftanterior descending coronary artery compared to group II. Group I also exhibited a larger left atrium *** I patients exhibited significantly higher levels of CML, TNF-α, and IL-6 and lower levels of nitric oxide ascompared with group II patients. Additionally, CML showed a significant positive correlation with IL-6 (r = 0.596,P = 0.001) and TNF-α (r = 0.337, P = 0.001) and a negative correlation with nitric oxide (r=-4.16, P = 0.001). Oddsratio analysis revealed that patients with CML in the third quartile (264.43-364.31 ng/mL) were significantlyassociated with diabetic CAD at unadjusted and adjusted levels with covariates.

关键词： Coronary artery disease Diabetes Nε-carboxymethyl-lysine Inflammatory markers Interleukin-6 Tumor necrosis factor alpha Nitric oxide

Prediction of Effective Elastic Modulus of Biphasic Composite Materials

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Modern Mechanical Engineering 2012年第1期2卷 6-13页

作者： Anupama Upadhyay Ramvir Singh university of Rajasthan Jaipur India

Two semi-empirical approaches for prediction of elastic modulus of biphasic composites have been proposed. Developed relations are for pore free matrix and pore free filler and found to depend on nonlinear contribution of volume fraction of constituents as well as ratio of elastic properties of individual phases. These relations are applied for the calculation of effective elastic modulus mainly for Al2O3-NiAl, SiC-Al, Alumina-Zirconia, Al-Al2O3, W-glass and Flax-Resin composite materials. Theoretical predictions using developed relations are compared with experimental data. It is found that the predicted values of effective elastic modulus using modified relations are quite close to the experimental results.

关键词： Elastic Modulus Composite Material Matrix-Inclusion

AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector

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Big Data Mining and Analytics 2023年第4期6卷 478-490页

作者： Vikas Kumar Shaiku Shahida Saheb Preeti Atif Ghayas Sunil Kumari Jai Kishan Chandel Saroj Kumar Pandey Santosh Kumar Humanities and Management Department Dr.B.R.Ambedkar National Institute of Technology JalandharJalandhar 144027India. Mittal School of Business Lovely Professional UniversityPhagwara 144402India. Department of Commerce&Business Administration Kanya Maha Vidyalaya(KMV)Jalandhar 144004India School of Management Gitam(to be deemed university)Bangalore 561203India Government College for Women Indra Gandhi UniversityAteli 123021India. Institute of Management Studies Kurukshetra UniversityKurukshetra 136119India Department of Computer Engineering and Applications GLA UniversityMathura 281406India Department of Management Jaipuriya Institute of ManagementJaipur 302033India

Every real-world scenario is now digitally replicated in order to reduce paperwork and human labor *** Learning(ML)models are also being used to make predictions in these *** forecasting requires knowledge of these machine learning models and their distinguishing *** datasets we use as input for each of these different types of ML models,yielding different *** choice of an ML model for a dataset is critical.A loan risk model is used to show how ML models for a dataset can be linked *** purpose of this study is to look into how we could use machine learning to quantify or forecast mortgage credit *** phrase refers to the process of evaluating massive amounts of data in order to derive useful information for making decisions in a variety of *** credit risk is considered,a method based on an examination of what caused and how mortgage credit risk affected credit defaults during the still-current economic crisis of 2021 will be *** approaches to credit risk calculation will be examined,ranging from the most basic to the most *** addition,we will conduct a case study on a sample of mortgage loans and compare the results of three different analytical approaches,logistic regression,decision tree,and gradient boost to see which one produced the most commercially useful insights.

关键词： Artificial Intelligence(AI) Machine Learning(ML) loan prediction Support Vector Machine(SVM) Random Forest(RF) accuracy