97 research outputs found
ROLE OF KUMAR KALYAN RAS AND SITOPALADI CHURNA IN CHILDREN’S DEVELOPMENT
Childhood is an important age of human being and growth and development mainly occurs in this age. Balanced diet and well nutritional foods are necessary for growth and development. In Ayurveda this stage is called Kapha dominant period of life. In this age a child should be healthy for proper development. So this study is focused on child’s growth and development and the role of Kumar Kalyan ras and Sitopaladi churn in the management of childhood.STUDY DESIGN: The study was single grouped, which contains 12 children selected from the O.P.D. and I.P.D of Vd. Prem Shankar Ayurveda hospital, colleges, campus, M.M.M Government Ayurved College Udaipur. For the well development and growth of a child, Kumar Kalyan ras and Sitopaladi churn drug, dosage of 1-2 gram is given twice a day with honey (Madhu) before meal. The regimen followed for a period of three months with follow up after every 15 days interval. Base line assessment was done after selection of children as per inclusion and exclusion criteria.RESULTS: The study suggests that the oral consumption of Kumar Kalyan ras and Sitopaladi churna with honey improves digestion, immunity and general growth.
Discovery of New Hydroxyethylamine Analogs against 3CL(pro) Protein Target of SARS-CoV-2: Molecular Docking, Molecular Dynamics Simulation, and Structure-Activity Relationship Studies
Discovery of New Hydroxyethylamine Analogs against 3CLpro
Protein Target of SARS-CoV-2: Molecular Docking, Molecular
Dynamics Simulation, and Structure−Activity Relationship Studies
Sumit Kumar,○ Prem Prakash Sharma,○ Uma Shankar, Dhruv Kumar, Sanjeev K. Joshi, Lindomar Pena,
Ravi Durvasula, Amit Kumar, Prakasha Kempaiah, Poonam,* and Brijesh Rathi*
Cite This: J. Chem. Inf. Model. 2020, 60, 5754−5770 Read Online
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ABSTRACT: The novel coronavirus, SARS-CoV-2, has caused a recent pandemic called COVID-19 and a severe health threat
around the world. In the current situation, the virus is rapidly spreading worldwide, and the discovery of a vaccine and potential
therapeutics are critically essential. The crystal structure for the main protease (Mpro ) of SARS-CoV-2, 3-chymotrypsin-like cysteine
protease (3CL pro
), was recently made available and is considerably similar to the previously reported SARS-CoV. Due to its
essentiality in viral replication, it represents a potential drug target. Herein, a computer-aided drug design (CADD) approach was
implemented for the initial screening of 13 approved antiviral drugs. Molecular docking of 13 antivirals against the 3-chymotrypsin-
like cysteine protease (3CLpro ) enzyme was accomplished, and indinavir was described as a lead drug with a docking score of −8.824
and a XP Gscore of −9.466 kcal/mol. Indinavir possesses an important pharmacophore, hydroxyethylamine (HEA), and thus, a new
library of HEA compounds (>2500) was subjected to virtual screening that led to 25 hits with a docking score more than indinavir.
Exclusively, compound 16 with a docking score of −8.955 adhered to drug-like parameters, and the structure−activity relationship
(SAR) analysis was demonstrated to highlight the importance of chemical scaffolds therein. Molecular dynamics (MD) simulation
analysis performed at 100 ns supported the stability of 16 within the binding pocket. Largely, our results supported that this novel
compound 16 binds with domains I and II, and the domain II−III linker of the 3CLpro protein, suggesting its suitability as a strong
candidate for therapeutic discovery against COVID-19
Budgetary constraints and growth scenario in Uttar Pradesh.
Economic growth ; Uttar Pradesh
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An integrated approach using utility theory and chance-constrained programming for supplier quota allocation
In this paper, a solution procedure based on utility theory and chance-constrained programming is developed to solve a supplier quota allocation problem. The objectives of the problem incorporate maximisation of sales revenues, quality and on-time delivery. Some realistic constraints such as buyers' demand, budget allocation to individual vendors, etc. are also modelled in this problem. The proposed approach allows us to handle random aspects of input information. The effect of different levels of uncertainties is also analysed to understand how quota allocation to suppliers changes and how some of the suppliers lose their quota in an uncertain environment. A case illustration of a real automobile manufacturer is provided which shows the effectiveness and application of the model to suppliers' quota allocation problem in a supply chain
COMPARATIVE STUDY OF AGGRESSION BETWEEN BASKETBALL AND VOLLEYBALL PLAYERS
The purpose of the study was to “compare the aggression between basketball and volleyball players. Method: Sixty male interuniversity basketball (N1=30) and volleyball (N2=30) players from Punjabi university Patiala, Punjab, India were selected as the subjects for the study. The subjects were represented North zone Inter-varsity competition and all India inter-varsity championship in their respective sports and age ranging from 18 to 24 years. These subjects were selected in terms of purposive sample from respective games. The sport aggression inventory (SAI) standardized by Mr. Anand Kumar and Mr. Prem Shankar Shukla (1998) was used for this study. It was hypothesized that there would be significant difference between basketball and volleyball players on the degree of aggression. The independent ‘t’ test was used to compare the degree of aggression between basketball and volleyball players. The level of significance for testing the hypothesis was set at 0.05 level of confidence. Findings: The mean and standard deviation of the score of basketball players was 14.5 and 1.19 respectively whereas the mean and standard deviation of the score of volleyball players was 11.06 and 1.33 respectively. The calculated t- value was 10.48 which showed significant difference between basketball and volleyball players on the degree of aggression. (tcal=10.48 >ttab=2.009). The aggression level of basketball players was found to be higher than the volleyball players. The t-value required to be significant for 58 degree of freedom was 2.009 at 0.05 level of confidence. Article visualizations
A Study to Determine Role of Fungus in Cases of Chronic Rhinosinusitis with or without Nasal Polyps in Indian Population
Introduction
Chronic rhinosinusitis (CRS) with or without nasal polyps is a significant public health burden worldwide and owing to its multifactorial etiology, it is often encountered across various medical and surgical specialities. Role of fungus in etiology of CRS has been debated for decades altogether and there is plethora of researches on cellular, molecular and biochemical aspects of fungal presence in nasal cavity and paranasal sinuses and how it affects. Although, there is denial at large on fungal effects on development of CRS, but the question, that whether concomitant and demonstrable presence of fungus in cases of CRS aggravates classic symptoms and signs, largely remains unanswered.
Material and Methods
This cohort study includes 121 subjects, which were divided in CRS without nasal polyps (CRSsNP) and CRS with nasal polyps (CRSwNP) on basis of rigid nasal endoscopic findings. Severity of disease symptoms, among these groups was corelated with Lund – Mackay (LM) symptom scores and extent of disease with LM endoscopic staging scores and LM radiology scores. Histopathology samples for demonstrating presence of fungus were taken and cohort was further subdivided into Fungi positive CRS and Fungi negative CRS, and, LM scores were compared.
Results
In fungi positive CRS group, mean LM symptoms score was 7.09 with standard deviation (SD) ±1.07; mean LM endoscopy score was 6.64 with SD ±1.94 and LM radiological score was 14.58 with SD ±2.96. In Fungi negative group, mean LM symptoms score was 3.58 with
SD ±1.30; mean LM endoscopy score was 4.47 with SD ±1.57 and LM radiological score was 12.20 with SD ±2.98.
Conclusion
Results of this study were statistically significant that fungi positive group was found to have more severe symptoms and larger extent of disease as compared to fungi negative group which indicate that fungal presence may have a role in escalation of symptoms, signs and radiological scores and it may aggravate pre-existing CRS
Selecting effective intrinsic mode functions of empirical mode decomposition and variational mode decomposition using dynamic time warping algorithm for rolling element bearing fault diagnosis
Empirical Mode Decomposition (EMD) and Variational Mode Decomposition (VMD) are data-driven self-adaptive signal processing methods to decompose a complex signal into different modes of separate spectral bands, in to a number of Intrinsic Mode Functions (IMFs). While the EMD extracts modes recursively and empirically, the VMD extracts modes non-recursively and concurrently. In this paper, both the EMD and the VMD have been applied to examine their efficacy in fault diagnosis of rolling element bearing. However, all the IMFs do not contain necessary information regarding fault characteristic signature of the bearing. In order to select the effective IMF, the Dynamic Time Warping (DTW) algorithm has been employed here, which gives a measurement of similarity index between two signals. Also, correlation analysis has been carried out to select the appropriate IMFs. Finally, out of the selected IMFs, bearing characteristic fault frequencies have been determined with the envelope spectrum
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