2022
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PublicationArticle Prevalence of subclinical and clinical ketosis in cattle in and around Bikaner(Taylor and Francis Ltd., 2022) Nazeer Mohammed; Manu Jaiswal; Dinesh Kumar BihaniThe present study surveyed that the prevalence of subclinical and clinical ketosis in cattle was assessed in and around Bikaner; a total of 200 cows after parturition were examined. The overall prevalence of clinical ketosis amongst post-parturient cows was 11.50%, while 23.50% for subclinical ketosis. Prevalence of clinical and subclinical ketosis in cows with relation to breed was the highest in Holstein Friesian crossbred cows (17.58%), while the lowest in Rathi cows (05%). Prevalence in relation to the age was the highest in 8–9 years of age (13.79% and 29.31%) and the lowest in >9 years of age (4.76% and 9.52%). Prevalence in relation to number of lactation/calving was the highest in fourth lactation (14.29% and 30.36%) and the lowest in first lactation (2.86% and 11.43%). Out of 11.50% cases of clinical ketosis, the highest prevalence was recorded (30.43%) during 8–14 days of lactation; similarly, out of 23.50% cases of subclinical ketosis, the highest prevalence was recorded (29.79%) during 8–14 days of lactation. Month-wise prevalence of clinical and subclinical ketosis was the highest in December that is 26.09% and 23.40%, while the lowest in August 4.35% and 2.13%. © 2019 Informa UK Limited, trading as Taylor & Francis Group.PublicationArticle Three-phase-lag bioheat transfer model and its validation with experimental data(Taylor and Francis Ltd., 2022) Dinesh Kumar; K.N. RaiIn this study, we introduce a three-phase-lag (TPL) bioheat transfer model for living biological tissue by considering the heat conduction law that includes heat flux, temperature gradient and thermal displacement gradient, among the constitutive relation. The formulated TPL bioheat model is an extension of bioheat transfer models proposed by Pennes, Cattaneo-Vernotte and Tzou. The semi-analytical method has been used for the solution of TPL bioheat transfer model and this model is validated with experimental data [Stolwijk, J. A. J., and J. D. Hardy. 1966. Temperature regulation in man: a theoretical study. Pflugers Archiv Fur Die Gesamte Physiologie Des Menschen Und Der Tiere 291(2):129–62]. The phase lag times due to heat flux, temperature gradient and thermal displacement gradient is semi analytically investigated and it is found that phase-lag due to thermal displacement gradient affects significantly on temperature distribution in tissue. The semi-analytical solution has been verified with a numerical solution. The effect of parameters, such as lagging times, blood perfusion rate, metabolic heat source term and TPL parameter on tissue temperature is also discussed in detail.Highlights Three-phase-lag bioheat transfer model has been introduced for the study of heat transfer in living biological tissue. The semi analytical method has been used for the solution of the TPL model. Proposed model is validated with experimental data. The formulated TPL model is more accurate than other existing models. © 2020 Taylor & Francis Group, LLC.PublicationLetter Influenza like illness related clinical trial on AYUSH-64 requires cautious interpretation(Elsevier B.V., 2022) Deep Narayan Pandey; Sanjeev Rastogi; Girdhar Gopal Agarwal; S.C. Lakhotia[No abstract available]PublicationArticle Fabrication of an ultra-sensitive hydrazine sensor based on nano-chips shaped nickel hydroxide modified electrodes(Springer Science and Business Media Deutschland GmbH, 2022) Marya Khan; Rafiq Ahmad; Nirmalya Tripathy; Ajit Khosla; M. Iqbal R. Khan; Prabhash Mishra; Mansoor Ali Syed; Waquar Akhter AnsariTo exploit the possibilities provided by the nanostructure morphology of nano-materials in sensing applications, we synthesized nano-chips shaped nickel hydroxide (Ni(OH)2) nanostructures using hydrothermal method. The nano-chips shaped Ni(OH)2 nanostructure were further utilized to modify the gold working electrode (gold sputtered on glass substrate) to fabricate the hydrazine sensor. The fabricated hydrazine sensor was used for the highly sensitive detection of hydrazine in a water solution. The hydrazine sensor displayed ultra-high sensitivity (1861.25 µA/µM/cm2), a linear response in the concentration range of 0–120 nM, and a lower detection limit (10 nM) during hydrazine sensing. The obtained sensitivity is comparatively higher than any previously reported values. Other features of fabricated hydrazine sensor include a highly reproducible fabrication process, stability, and selectivity. Conceivably, these nano-chips shaped Ni(OH)2 nanostructure hold significant potential for the future applications in nano-material-based chemical/biological sensors. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.PublicationArticle Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions(Taylor and Francis Ltd., 2022) Vikas Kumar Sharma; Sudhanshu V. Singh; Komal ShekhawatThis article introduces a two-parameter exponentiated Teissier distribution. It is the main advantage of the distribution to have increasing, decreasing and bathtub shapes for its hazard rate function. The expressions of the ordinary moments, identifiability, quantiles, moments of order statistics, mean residual life function and entropy measure are derived. The skewness and kurtosis of the distribution are explored using the quantiles. In order to study two independent random variables, stress–strength reliability and stochastic orderings are discussed. Estimators based on likelihood, least squares, weighted least squares and product spacings are constructed for estimating the unknown parameters of the distribution. An algorithm is presented for random sample generation from the distribution. Simulation experiments are conducted to compare the performances of the considered estimators of the parameters and percentiles. Three sets of real data are fitted by using the proposed distribution over the competing distributions. © 2020 Informa UK Limited, trading as Taylor & Francis Group.PublicationArticle Spatio-temporal analysis of snow cover and effect of terrain attributes in the Upper Ganga River Basin, central Himalaya(Taylor and Francis Ltd., 2022) Prikash N. Meetei; Rajeev Saran Ahluwalia; S.P. Rai; Suhas Khobragade; Shushanta Sarangi; Manmohan Goel; Sushil KumarContinuous monitoring of snow cover area (SCA) in space and time is a vital input to estimate the snow/glacier melt runoff, glacial mass balance and other hydrological studies. The present study aims to find out the spatio-temporal variation of SCA and inter-relationship between snow accumulation and topography in the Upper Ganga River Basin (UGRB) including Bhagirathi, Alaknanda, Mandakini and Pindar River sub-basins, central Himalaya using MODIS Terra (MOD10A2) data. SCA is found ∼32.33% to the total basin area of ∼18724 km2 in UGRB. The Average of 12 year shows that Bhagirathi River Basin has maximum SCA∼33.25%, whereas Pindar river basin has minimum SCA ∼17.50% among these four sub-basins. Maximum rate of change of SCA is found in the Mandakini River Basin. Slope class 20°–30°has more favorable conditions for snow accumulation. North and north-west aspect has higher snow accumulation with maximum positive attribution in January and minimum in July. © 2020 Informa UK Limited, trading as Taylor & Francis Group.PublicationArticle COVID-19 pandemic: A pragmatic plan for ayurveda intervention(Elsevier B.V., 2022) Sanjeev Rastogi; Deep Narayan Pandey; Ram Harsh SinghWorld community is facing an unprecedented pandemic of novel corona virus disease (COVID-19) caused by Severe Acute Respiratory Syndrome Corona virus 2 (SARS-CoV- 2). The disease has spread globally with more than 1.43 million confirmed cases and 82,100 deaths as of April 8, 2020. Despite worldwide efforts to contain it, the pandemic is continuing to spread for want of a clinically-proven prophylaxis and therapeutic strategy. The dimensions of pandemic require an urgent harnessing of all knowledge systems available globally. Utilization of Traditional Chinese Medicine in Wuhan to treat COVID-19 cases sets the example demonstrating that traditional health care can contribute to treatment of these patients successfully. Drawing on the Ayurveda classics, contemporary scientific studies, and experiential knowledge on similar clinical settings, here we propose a pragmatic plan for intervention in India. We provide a plan for graded response, depending on the stage of infection among individuals, in a population. Notwithstanding the fact that no system of medicine has any evidence-based treatment for COVID-19 as yet, clinical interventions are required to be put in place. Therefore, pragmatic strategy proposed here for Ayurveda system of medicine requires immediate implementation. It will facilitate learning, generate evidence and shall be a way forward. © 2020 The AuthorsPublicationArticle Multi-satellite precipitation products for meteorological drought assessment and forecasting in Central India(Taylor and Francis Ltd., 2022) Varsha Pandey; Prashant K. Srivastava; R.K. Mall; Francisco Munoz-Arriola; Dawei HanIn this study, a comparative analysis of three satellite precipitation products including the Tropical Rainfall Measuring Mission (TRMM-3B43 V7), the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), and the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS V2) with ground-measured Indian Meteorological Department (IMD) precipitation data were performed to estimate the meteorological drought in the Bundelkhand region of Central India. The high-resolution CHIRPS data showed the closest agreement with the IMD precipitation and well captured the drought characteristics. The Standardized Precipitation Index (SPI) identified seven major droughts events during the period of 1981 to 2016. Appropriate calibration and validation were performed for drought forecasting using the Auto-Regressive Integrated Moving Average (ARIMA) model. The forecasting result showed a reasonably good agreement with the observed datasets with the one-month lead time. The outcomes of this study have policy level implications for drought monitoring and preparedness in this region. © 2020 Informa UK Limited, trading as Taylor & Francis Group.PublicationArticle Desulfurization of Giral lignite of Rajasthan (Western India) using Burkholderia sp. GR 8–02(Routledge, 2022) Aniruddha Kumar; Alok K Singh; Prakash K Singh; Asha Lata Singh; Binoy K Saikia; Alok KumarPresent investigation entails the results of desulfurization of high sulfur Giral (Rajasthan-India) lignite with the help of Burkholderia sp. GR 8–02. Total sulfur varies from 3.73% to 7.91%, where inorganic sulfur is 2.17–3.82%, pyritic and Sulfate sulfur is 0.90–2.42% and 0.47–2.84%, respectively. Chemical analysis, Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM/EDS) were used in order to understand desulfurization. Bacterial treatment caused a significant reduction in total sulfur content ranging from 23.59% to 37.55%. Organic sulfur removal ranges from 11.06% to 20.54% while pyritic and Sulfate sulfur removal vary from 10.40–43.39% and 50.89–96.97%, respectively. In addition to desulfurization of lignite, the reduction in the ash yield and the volatile matter was also observed whereas there was a relative increase in the fixed carbon and elemental carbon content. Further, an increase in the gross calorific value from 3189 kcal/kg to 3482 kcal/kg was noticed. © 2019 Taylor & Francis Group, LLC.PublicationArticle Targeting COVID-19 (SARS-CoV-2) main protease through active phytochemicals of ayurvedic medicinal plants–Withania somnifera (Ashwagandha), Tinospora cordifolia (Giloy) and Ocimum sanctum (Tulsi)–a molecular docking study(Taylor and Francis Ltd., 2022) Priya Shree; Priyanka Mishra; Chandrabose Selvaraj; Sanjeev Kumar Singh; Radha Chaube; Neha Garg; Yamini Bhusan TripathiCOVID-19 (Coronavirus disease 2019) is a transmissible disease initiated and propagated through a new virus strain SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) since 31st December 2019 in Wuhan city of China and the infection has outspread globally influencing millions of people. Here, an attempt was made to recognize natural phytochemicals from medicinal plants, in order to reutilize them against COVID-19 by the virtue of molecular docking and molecular dynamics (MD) simulation study. Molecular docking study showed six probable inhibitors against SARS-CoV-2 Mpro (Main protease), two from Withania somnifera (Ashwagandha) (Withanoside V [10.32 kcal/mol] and Somniferine [9.62 kcal/mol]), one from Tinospora cordifolia (Giloy) (Tinocordiside [8.10 kcal/mol]) and three from Ocimum sanctum (Tulsi) (Vicenin [8.97 kcal/mol], Isorientin 4′-O-glucoside 2″-O-p-hydroxybenzoagte [8.55 kcal/mol] and Ursolic acid [8.52 kcal/mol]). ADMET profile prediction showed that the best docked phytochemicals from present work were safe and possesses drug-like properties. Further MD simulation study was performed to assess the constancy of docked complexes and found stable. Hence from present study it could be suggested that active phytochemicals from medicinal plants could potentially inhibit Mpro of SARS-CoV-2 and further equip the management strategy against COVID-19-a global contagion. Highlights Holistic approach of Ayurvedic medicinal plants to avenge against COVID-19 pandemic. Active phytoconstituents of Ayurvedic medicinal plants Withania somnifera (Ashwagandha), Tinospora cordifolia (Giloy) and Ocimum sanctum (Tulsi) predicted to significantly hinder main protease (Mpro or 3Clpro) of SARS-CoV-2. Through molecular docking and molecular dynamic simulation study, Withanoside V, Somniferine, Tinocordiside, Vicenin, Ursolic acid and Isorientin 4′-O-glucoside 2″-O-p-hydroxybenzoagte were anticipated to impede the activity of SARS-CoV-2 Mpro. Drug-likeness and ADMET profile prediction of best docked compounds from present study were predicted to be safe, drug-like compounds with no toxicity. Communicated by Ramaswamy H. Sarma. © 2020 Informa UK Limited, trading as Taylor & Francis Group.