Study on Relationship of Psychopathology on Childhood Obesity among School Children in South India

AimTo study the relationship of psychopathology on obesity among school children of Davangere district, South India.Settings and designSchool children studying in V-VII standard of Davangere dist in Karnataka, south India. Stage-I cross sectional study for identification of obese children. Stage-II Case control study to find out the relationship of psychopathology and obesity among school children.Material and MethodsBody mass index (BMI) was calculated using BMI charts based on NCHS standards. 421 obese children and 842 controls (1:2 ratios) were studied by using Childhood Psychopathology Measurement Schedule (CPMS) tool developed and standardized by Malhotra et al.Statistical analysisData analysis was conducted at SPSS/ PC programme(Version 13)Results and conclusionsThe psychopathology was present in 44.2% of obese children by using CPMS tool as against only 13.8% of non obese children. The presence of psychopathology among obese boys was more (59.5%) than obese girls (49.4%).The obese children had the relationship of psychopathology 4.9 times more than nonobese children. The positive association of psychopathology with obesity was present in both sexes. The association was found to be stronger for boys in comparison to girls. Our study findings show that psychopathology have strong relationship on obesity among school children and psychopathology have a definite impact on childhood obesity

HMDSAD: Hindi multi-domain sentiment aware dictionary

Sentiment Analysis is a fast growing sub area of Natural Language Processing which extracts user's opinion and classify it according to its polarity into positive, negative or neutral classes. This task of classification is required for many purposes like opinion mining, opinion summarization, contextual advertising and market analysis but it is domain dependent. The words used to convey sentiments in one domain is different from the words used to express sentiments in other domain and it is a costly task to annotate the corpora in every possible domain of interest before training the classifier for the classification. We are making an attempt to solve this problem by creating a sentiment aware dictionary using multiple domain data. The source domain data is labeled into positive and negative classes at the document level and the target domain data is unlabeled. The dictionary is created using both source and target domain data. The words used to express positive or negative sentiments in labeled data has relatedness weights assigned to it which signifies its co-occurrence frequency with the words expressing the similar sentiments in target domain. This work is carried out in Hindi, the official language of India. The web pages in Hindi language is booming very quickly after the introduction of UTF-8 encoding style. The dictionary can be used to classify the unlabeled data in the target domain by training a classifier

A Clinical Study to evaluate Pragbhakta and Adhobhakta Bhaishajya Kala in Janu Sandhigata Vata

Bhaishajya Kala is an important principle in our classics, which is to be considered while treating a disease. During treatment, success can be achieved only when there is proper combination of Desha, Kala, Pramana, Satmya, Asatmya, Pathya and Apathya.[1] Among these seven, Kala is given second position which reflects importance of Kala in Chikitsa. The relation between Aushadha and Kala is well established in classics. Acharya Charaka states that “medicine administered at appropriate Kala is more efficacious than one given in inappropriate Kala.”[2] To highlight its role in Chikitsa, there is a necessity to analyze this concept which is the need of the hour. With the intention of practically validating this concept “Janu Sandhigatavata” has been taken up for the study. Panchatikta Guggulu Ghrita which has been taken for the study is seen to have beneficial therapeutic effects on Sandhigatavata as evidently seen in the Phalashruti.[3] As Bhaishajya Kala is not specifically mentioned for any Vatavyadhi so also for Janu Sandhigatavata, this study intends to find the appropriate Bhaishajya Kala for the same. Among all the Bhaishajya Kalas, in the present study only two Kalas were taken up which were suitable for Janu Sandhigatavata. The clinical trial was carried out on 40 patients. They were divided into two groups Group A and Group B consisting of 20 patients each. The results were analyzed based on the signs and symptoms. Statistical analysis between Group A and Group B for the parameters Sandhi Shoola, Shotha, Prasaranaakunchanyo Vedana, ROM and VAS pain scale found no significant changes in the group. Individually each Group had highly significant results. But in the observation parameter of Atopa there was a difference of value between the groups, Group A was higher than Group B

Formulation of Nidana Panchaka in Breast Cancer

Breast Cancer is one of the most common types of malignancy among Indian woman currently. The current increase in the world wide prevalence of this disease suggests an urgent need of detailed analysis, diagnosis and treatment line through Ayurvedic principles. As cancer is least understood in technical terms of Ayurveda, Nidana Panchaka a basic tool to understand and diagnose a Vyadhi, is used to analyze it. Even though a direct diagnostic correlation of breast cancer is not available under the major Vyadhi classifications, it is possible to elicit and formulate Nidana Panchaka based on the references of Sthana Roga, Shopha, Granthi, Arbuda etc. The current article is an effort to formulate Nidana Panchaka for Breast Cancer, from the background of basic principles of Ayurveda, for a better analysis and diagnosis of the Vyadhi

Reputation systems: Evaluating reputation among all good sellers

A reputation system assists people selecting whom to trust, encourages trustworthy action, and discourages participation of unskilled or dishonest. The “all good reputation” problem is common in current reputation systems, especially in e-commerce domain, making it difficult for buyers to choose credible sellers. Observing high growth of online data in Hindi language, in this paper, we propose a reputation system in this language. The functions of this system include (1) review mining for different criteria of online transactions, (2) calculation of reputation rating using Bayesian method, (3) calculation of reputation weight using typed dependency relation representation and Latent Dirichlet Allocation topic modeling technique for each criteria from user reviews, and (4) ranking sellers based on computed reputation score. Extensive simulations conducted on eBay dataset and TripAdvisor dataset show its

An overview on Manuscriptology

Before invention of modern science the way of communication and transfer of knowledge was oral. All Vedic literatures were transmitted orally. Later on the oral transmissions had some limitations thus documentation of the knowledge has been started and those hand written documents are called as Manuscripts. Ayurveda, being a Upaveda has an extensive history which is evident through the available documented classics. Though Ayurveda is said to be descended in a genealogy of preceptorstudent system orally, there are definite references of documented texts in the name of the preceptors as the title of the text. These manuscripts are written on various surfaces and with various writing materials. The science which deals with the detail study of these manuscripts is known as Manuscriptology. These are the rich sources of cultural and scientific knowledge thus it is and need of hour to preserve it

Comparing the Clinical Severity of Disease Caused by Enteroviruses and Human Parechoviruses in Neonates and Infants.

Comparison of children hospitalized with enterovirus or human parechovirus (HPeV) detected in their cerebrospinal fluid revealed that HPeV infections presented with more persistent fever, irritability and feeding problems, more frequent leukopenia and lymphopenia and higher admission rates to high dependency or intensive care units. Few HPeV cases were followed up, further studies on long-term outcomes are needed

Comprehensive Screening of Eight Known Causative Genes in Congenital Hypothyroidism With Gland-in-Situ.

CONTEXT: Lower TSH screening cutoffs have doubled the ascertainment of congenital hypothyroidism (CH), particularly cases with a eutopically located gland-in-situ (GIS). Although mutations in known dyshormonogenesis genes or TSHR underlie some cases of CH with GIS, systematic screening of these eight genes has not previously been undertaken. OBJECTIVE: Our objective was to evaluate the contribution and molecular spectrum of mutations in eight known causative genes (TG, TPO, DUOX2, DUOXA2, SLC5A5, SLC26A4, IYD, and TSHR) in CH cases with GIS. Patients, Design, and Setting: We screened 49 CH cases with GIS from 34 ethnically diverse families, using next-generation sequencing. Pathogenicity of novel mutations was assessed in silico. PATIENTS, DESIGN, AND SETTING: We screened 49 CH cases with GIS from 34 ethnically diverse families, using next-generation sequencing. Pathogenicity of novel mutations was assessed in silico. RESULTS: Twenty-nine cases harbored likely disease-causing mutations. Monogenic defects (19 cases) most commonly involved TG (12), TPO (four), DUOX2 (two), and TSHR (one). Ten cases harbored triallelic (digenic) mutations: TG and TPO (one); SLC26A4 and TPO (three), and DUOX2 and TG (six cases). Novel variants overall included 15 TG, six TPO, and three DUOX2 mutations. Genetic basis was not ascertained in 20 patients, including 14 familial cases. CONCLUSIONS: The etiology of CH with GIS remains elusive, with only 59% attributable to mutations in TSHR or known dyshormonogenesis-associated genes in a cohort enriched for familial cases. Biallelic TG or TPO mutations most commonly underlie severe CH. Triallelic defects are frequent, mandating future segregation studies in larger kindreds to assess their contribution to variable phenotype. A high proportion (∼41%) of unsolved or ambiguous cases suggests novel genetic etiologies that remain to be elucidated.This study made use of data generated by the UK10K Project and we acknowledge the contribution of the UK10K Consortium. This work was supported by Wellcome Trust Grants 100585/Z/12/Z (to N.S.), and 095564/Z/11/Z (to V.K.C.) and the National Institute for Health Research Cambridge Biomedical Research Center (to V.K.C., N.S.). E.G.S and C.A.A. are supported by the Wellcome Trust (098051). Funding for the UK10K Project was provided by the Wellcome Trust under award WT091310

Quantification of the methylation at the GNAS locus identifies subtypes of sporadic pseudohypoparathyroidism type Ib

Pseudohypoparathyroidism type Ib (PHP-Ib) is due to epigenetic changes at the imprinted GNAS locus, including loss of methylation at the A/B differentially methylated region (DMR) and sometimes at the XL and AS DMRs and gain of methylation at the NESP DMR. Objective: to investigate if quantitative measurement of the methylation at the GNAS DMRs identifies subtypes of PHP-Ib. In 19 patients with PHP-Ib and 7 controls, methylation was characterised at the four GNAS DMRs through combined bisulfite restriction analysis and quantified through cytosine specific real-time PCR in blood lymphocyte DNA. A principal component analysis using the per cent of methylation at seven cytosines of the GNAS locus provided three clusters of subjects (controls n=7, autosomal dominant PHP-Ib with loss of methylation restricted to the A/B DMR n=3, and sporadic PHP-Ib with broad GNAS methylation changes n=16) that matched perfectly the combined bisulfite restriction analysis classification. Furthermore, three sub-clusters of patients with sporadic PHP-Ib, that displayed different patterns of methylation, were identified: incomplete changes at all DMRs compatible with somatic mosaicism (n=5), profound epigenetic changes at all DMRs (n=8), and unmodified methylation at XL in contrast with the other DMRs (n=3). Interestingly, parathyroid hormone concentration at the time of diagnosis correlated with the per cent of methylation at the A/B DMR. Quantitative assessment of the methylation in blood lymphocyte DNA is of clinical relevance, allows the diagnosis of PHP-Ib, and identifies subtypes of PHP-Ib. These epigenetic findings suggest mosaicism at least in some patients

The broad phenotypic spectrum of 17α-hydroxylase/ 17,20-lyase (CYP17A1) deficiency: a case series.

CONTEXT 17α-hydroxylase/17,20-lyase deficiency (17OHD) caused by mutations in the CYP17A1 gene is a rare form of congenital adrenal hyperplasia typically characterized by cortisol deficiency, mineralocorticoid excess and sex steroid deficiency. OBJECTIVE To examine the phenotypic spectrum of 17OHD by clinical and biochemical assessment and corresponding in silico and in vitro functional analysis. DESIGN Case series Patients and Results: We assessed eight patients with 17OHD, including four with extreme 17OHD phenotypes: two siblings presented with failure to thrive in early infancy and two with isolated sex steroid deficiency and normal cortisol reserve. Diagnosis was established by mass spectrometry-based urinary steroid profiling and confirmed by genetic CYP17A1 analysis, revealing homozygous and compound heterozygous sequence variants. We found novel (p.Gly111Val, p.Ala398Glu, p.Ile371Thr), and previously described sequence variants (p.Pro409Leu, p.Arg347His, p.Gly436Arg, p.Phe53/54del, p.Tyr60IlefsLys88X). In vitro functional studies employing an overexpression system in HEK293 cells showed that 17,20-lyase activity was invariably decreased while mutant 17α-hydroxylase activity retained up to 14% of wild-type activity in the two patients with intact cortisol reserve. A ratio of urinary corticosterone over cortisol metabolites reflective of 17α-hydroxylase activity correlated well with clinical phenotype severity. CONCLUSION Our findings illustrate the broad phenotypic spectrum of 17OHD. Isolated sex steroid deficiency with normal stimulated cortisol have not been reported before. Attenuation of 17α-hydroxylase activity is readily detected by urinary steroid profiling and predicts phenotype severity