An Ayurvedic approach in the management of Unexplained Infertility - A Case Study

Infertility is an emerging health problem that has profound socioeconomic and health implication on both the individual and society. Unexplained Infertility is defined as the inability to conceive even after one year with routine investigations of infertility showing no abnormality; with overall incidence of 10-30%. Ayurveda explained female infertility as Vandhyatva and mentioned Garbha Sambhava Samagri (proper union of four factors like fertile period, healthy reproductive system, nutrition and healthy ovum and sperm) and Manasika Abhitapa (psychological and emotional factors) as chief  factors responsible for conception. In this case study patient aged 32 years who was anxious to conceive since four years of regular and satisfactory marital relationship seeking Ayurvedic management in Ahalia Ayurveda Medical College Hospital was taken. On detailed evaluation, vitiation of Vatadosha, loss of appetite, and loss of sleep was noticed. The line of treatment followed in this case was Sadhyo Virechana (Purgation) followed Vatanulomana (pacifies Vata Dosha), Deepana (appetizers), Pachana (digestives), Garbhasthapana (maintaining pregnancy), Rasayana Chikitsa (rejuvinative) with psychological assurance that favours conception in this couple

Classical Review of Gandhaka as per Rasendra Sara Sangraha

Gandhaka is an easily available and extensively used drug in Rasashastra. Gandhaka is extensively used as a therapeutic drug in various disorders. Explanation of its varieties, purification methods, therapeutic uses, and dose is explained in Rasashastra. Purification of Gandhaka mentioned in the classics making it therapeutically more potential. Rasendra Sara Sangraha is widely accepted as a comprehensive treatise of Rasashastra. Rasendra Sara Sangraha explains Gandhaka in detail under Uparasa along with its two methods of Gandhaka Shodhana which is the initial step in the preparation of any Rasaoushadhis. Reviewing the literary aspect of Gandhaka along with its Shodhana as described in the Rasendra Sara Sangraha is enumerated here

A Genetic Algorithm Based Optimization Framework To Visualize, Evaluate, And Modify 3D Space Configurations In Desktop VR

This paper presents the design and implementation of a Desktop VR (Virtual Reality) framework for generating and evaluating Pareto-optimal alternate 3D spatial configurations using GA (genetic algorithms). The 3-tier framework involves the generation of the Pareto-optimal plans using GA which are subsequently visualized first using a Java-based 2D Interface and finally in the form of a 3D VR scene. The search spaces (function domains) are extremely large in today’s multifaceted interior design situations, and the optimization procedure involves conflicting objective functions, and limitations in the form of constraint functions. The interior space allocation problem is formulated and implemented as the ‘‘optimal configuration of artifacts’’. When using GAs, a group of Pareto-optimal solutions (Pareto set) are available for the planners and decision-makers, wherefrom one solution ought to be picked. Therefore, this study applies a tool to not only visually evaluate the plans, but also to interact with those plans to develop them further if needed. Besides enabling the optimal spatial configuration of the scene elements, this framework also facilitates evaluation and interaction via the 3D VR worlds. The framework aids the proactive exploration, analysis, and finalization of design aspects such as color, size, lighting, etc. of the various elements prior to the actual construction. The results demonstrate the robust performance of the GA and the final 3D VR environment with dynamic interactive capabilities. This final interface facilitates ‘‘GA-Compliant’’ transformations and scene modifications thereby facilitating the exploration and examination of alternative scene configurations

Computational Methods to Work as First-Pass Filter in Deleterious SNP Analysis of Alkaptonuria

A major challenge in the analysis of human genetic variation is to distinguish functional from nonfunctional SNPs. Discovering these functional SNPs is one of the main goals of modern genetics and genomics studies. There is a need to effectively and efficiently identify functionally important nsSNPs which may be deleterious or disease causing and to identify their molecular effects. The prediction of phenotype of nsSNPs by computational analysis may provide a good way to explore the function of nsSNPs and its relationship with susceptibility to disease. In this context, we surveyed and compared variation databases along with in silico prediction programs to assess the effects of deleterious functional variants on protein functions. In other respects, we attempted these methods to work as first-pass filter to identify the deleterious substitutions worth pursuing for further experimental research. In this analysis, we used the existing computational methods to explore the mutation-structure-function relationship in HGD gene causing alkaptonuria

Subordination and superordination properties for analytic functions involving Wright’s functions

In the present investigation, we obtain some subordination and superordination results for the Hadamard product of certain normalized analytic functions in the open unit disk involving the linear operator introduced in [J. Dziok and R. K. Raina, Demonstratio Math., 37 (3) (2004), 533–542]. Several consequences of the results are presented. It is also pointed out that one of the main results (Theorem 2.8 below) provides a corrected form of the proof stated in two recent known results

Analysis of differentially expressed genes and molecular pathways in familial hypercholesterolemia involved in atherosclerosis: A systematic and bioinformatics approach

Background and Aims: Familial hypercholesterolemia (FH) is one of the major risk factor for the progression of atherosclerosis and coronary artery disease. This study focused on identifying the dysregulated molecular pathways and core genes that are differentially regulated in FH and to identify the possible genetic factors and potential underlying mechanisms that increase the risk to atherosclerosis in patients with FH. Methods: The Affymetrix microarray dataset (GSE13985) from the GEO database and the GEO2R statistical tool were used to identify the differentially expressed genes (DEGs) from the white blood cells (WBCs) of five heterozygous FH patients and five healthy controls. The interaction between the DEGs was identified by applying the STRING tool and visualized using Cytoscape software. MCODE was used to determine the gene cluster in the interactive networks. The identified DEGs were subjected to the DAVID v6.8 webserver and ClueGo/CluePedia for functional annotation, such as gene ontology (GO) and enriched molecular pathway analysis of DEGs. Results: We investigated the top 250 significant DEGs (p-value < 0.05; fold two change ≥ 1 or ≤ −1). The GO analysis of DEGs with significant differences revealed that they are involved in critical biological processes and molecular pathways, such as myeloid cell differentiation, peptidyl-lysine modification, signaling pathway of MyD88-dependent Toll-like receptor, and cell-cell adhesion. The analysis of enriched KEGG pathways revealed the association of the DEGs in ubiquitin-mediated proteolysis and cardiac muscle contraction. The genes involved in the molecular pathways were shown to be differentially regulated by either activating or inhibiting the genes that are essential for the canonical signaling pathways. Our study identified seven core genes (UQCR11, UBE2N, ADD1, TLN1, IRAK3, LY96, and MAP3K1) that are strongly linked to FH and lead to a higher risk of atherosclerosis. Conclusion: We identified seven core genes that represent potential molecular biomarkers for the diagnosis of atherosclerosis and might serve as a platform for developing therapeutics against both FH and atherosclerosis. However, functional studies are further needed to validate their role in the pathogenesis of FH and atherosclerosis

An outbreak of food poisoning in Tamil Nadu associated with Yersinia enterocolitica

An outbreak of food poisoning in a Tamil Nadu village, affecting 25 of 48 individuals who participated in a feast, was investigated. The risk of developing illness was associated with consumption of buttermilk (relative risk 3.8). None of the food items consumed during the feast was available for analysis. Toxin-producing Y. enterocolitica (serotype 3, biotype 4) was grown from 1 of 11 stool samples from affected individuals, as well as from a water sample from the source used to dilute the buttermilk. High titres of antibody of Yersinia were detected in 2 of 12 patients but in neither of the two groups of controls. Toxin production was noted in buttermilk incubated for 6 h with Y. enterocolitica. This is the first report from India of a food poisoning outbreak associated with this organism