METABOLIC SYNDROME IN MADHUMEGAM (TYPE 2 DIABETES MELLITUS) PATIENTS REPORTING AT NATIONAL INSTITUTE OF SIDDHA – A CROSS SECTIONAL STUDY

Introduction: Madhumegam is a clinical condition characterised by frequent and excessive urination which ultimately leads to deterioration of seven body constituents and three humours. Its signs and symptoms may be correlated with Diabetes mellitus in modern science. Since, metabolic syndrome has become major cause of morbidity and mortality, identifying its cause and prevention has gained immense importance. Aim: This study aimed at determining the prevalence of metabolic syndrome in Madhumegam (Type 2 Diabetes mellitus) patients and to identify the most critical predictive risk factors of metabolic syndrome. Methods: This hospital based cross sectional study involved 100 type 2 diabetes mellitus patients and was conducted at Ayothidoss Pandithar Hospital, National Institute of Siddha. This study used questionnaire to obtain information on diabetic condition, anthropometric measurements and lipid profile. Metabolic syndrome was defined according to the International Diabetes Federation criteria. Results: The prevalence of metabolic syndrome was 53% in the study population. Elevated triglyceride was the commonest component (77.3%) followed by lowered HDL (51%). Female type 2 diabetic patients had a higher prevalence of metabolic syndrome (54.7%) than their male counterparts (45.3%). With respect to age, individual within the age group of 60-69 had highest prevalence of metabolic syndrome while age group of 30-39 has least prevalence of metabolic syndrome. Conclusion: Elevated triglyceride for men and lowered HDL for women were the strongest risk factors. Metabolic syndrome is a significant health problem and its preventive strategies should focus on early diagnoses and lifestyle modification

YUGI’S CONCEPT OF GUNMAM PATIENTS REPORTING AT AYOTHIDOSS PANDITHAR HOSPITAL, NATIONAL INSTITUTE OF SIDDHA (NIS) - A CROSS SECTIONAL STUDY

According to Siddha system of medicine disease are numbered as 4448. One among them is Gunmam. Severe pain in the abdomen occurs as one of the symptoms and this makes the patient to bend forward in order to get relief from pain and hence the name is mentioned as Gunmam. As per sage Yugi, Gunmam is further classified into 8 types. The human body runs on the basis of Vatham, Pitham, Kabam and due to changes in the equilibrium of tri-dosha mankind acquires disease. As per Theraiyar Gunmam occurs due to vitiation of Vali thathu. Common symptoms of Gunmam are indigestion, vomiting, abdominal pain, abdominal distension, decrease body weight, loss of confidence. The signs and symptoms of Gunmam can be correlated to Acid Peptic Disease (APD). This study was undertaken to assess the incidence of different types of Gunmam patients reporting at OPD of Ayothidoss Pandithar Hospital. This is hospital based cross sectional study conducted in Ayothidoss Pandithar Hospital between months of May 2019 and July 2019. The study was given ethical approval by institutional Ethics Committee. The study included the completion of questionnaire which focuses on symptoms of eight types of Gunmam, thega ilakkanam, behavioural risk factors for Gunmam and physical measurements from randomly selected patients reporting to the OPD. Using Systematic random sampling method, 250 patients were selected from the OPD of Ayothidoss Pandithar Hospital. Statistical analysis was done using SPSS software. Among 250 Gunmam patients, 33.2% of subjects are Pitha thegi, 32.8% of subjects are Eri gunmam

A SCIENTIFIC REVIEW OF MOOLAM (ANO RECTAL DISEASES)-YUGIS VERSION

Worldwide, the overall prevalence of an ano rectal disease in the general population is estimated to be 4.4%. The faulty dietary pattern and life style , hereditary factors are important etiological factors of this disease. As per saint Yugi  Moolam is classified as 21 types based on clinical symptoms and size, shape, colour of the pile mass which includes some of the ano-rectal diseases. The diet and deeds which influences the vital humors Vatham  (Intestinal peristaltic movement ) and Pitham (metabolism and absorption) of food stuffs are said to be major causative factors of this disease. As per Yugis version the following ano rectal diseases under Moola noi have been categorized as, Neer moolam (Inflammatory bowel disease), Aazhi moolam (strangulated haemorrhoids), Sittru moolam (adenomatous colorectal polyps), Varal moolam (colorectal non- neoplastic polyps), Seezh moolam (kaposis sarcoma), Silaethuma moolam (anal warts condyloma), Thondha moolam (rectal cancer), Vinai moolam (irritable bowel syndrome), Powthira moolam (anal fistula), Kutha moolam (rectal prolapse), Ratha moolam (internal haemorrhoids 1st degree -bleeding piles), Mega moolam (gonococcal proctitis), Vaatha moolam (interno-external hemorrhoids), Pitha moolam (prolapsed haemorrhoids), Surukku moolam (anal stenosis), Mulai moolam (sentinel pile), Savvu moolam (perianal tuberclosis). This paper focuses the scientific basis of etiology and classification of Moolam by saint Yugi

AN ASSESSMENT OF QUALITY OF LIFE IN SWASAKASAM (BRONCHIAL ASTHMA) PATIENTS REPORTING AT AYOTHIDOSS PANDITHAR HOSPITAL – A CROSS SECTIONAL STUDY

Asthma is a chronic inflammatory disease of the small airways that affects all age groups. Asthma symptoms lead to impairment in the physical, emotional and social aspects of patient’s life. Bronchial asthma can be correlated to Swasakasam as per siddha text book Yugi vaithiya chinthamani 800. In Swasakasam patients, respiratory symptoms are important determinants of reduced health related quality of life. Evaluation of Health Related Quality of Life (HRQoL) is a primary outcome measure in patient with chronic disease. The objective of the study is to assess the HRQoL in Swasakasam patients and to evaluate the risk factors associated with it. It was a hospital based observational study of which 100 asthma patients were evaluated to quality of life who were reporting at OPD of Ayothidoss Pandithar Hospital, National Institute of Siddha (NIS) through Asthma Quality of Life Questionnaire (AQLQ). In this study, asthma affects females more than males (63% and 32%) and with 2% of male children. For the total patient population, there was a maximum limitation in physical activity domain (2.22±0.41) of HRQoL compared to other 3 domains. In case of sub score of all domains the mean of emotional function domain is lesser in female patients than male. Bronchial asthma significantly affects QOL. To reduce the asthma severity yoga, Pranayamam may be used adjunctively with standard medication in bronchial asthma patients and awareness should be given to improve their quality of life and to reduce the number of asthma attacks per week

WEB ADMINISTRATION SUGGESTION BY MEANS OF MISUSING AREA AND QOS DATA

Web administrations are incorporated programming segments for the backing of interoperable machine-to-machine association over a system. Web administrations have been broadly utilized for building administration situated applications in both industry and the educated community in late years. The quantity of freely accessible Web administrations is consistently expanding on the Internet. Be that as it may, this multiplication makes it hard for a client to choose an appropriate Web administration among a lot of administration competitors. An improper administration determination may bring about numerous issues (e.g., illsuited execution) to the subsequent applications. In this paper, we propose a novel community separating based Web administration recommender framework to help clients select administrations with ideal Quality-of-Service (QoS) execution. Our recommender framework utilizes the area data and QoS qualities to bunch clients and administrations, and makes customized administration proposal for clients in view of the grouping results. Contrasted and existing administration suggestion techniques, our methodology accomplishes impressive change on the proposal precision. Extensive tests are led including more than 1.5 million QoS records of true Web administrations to exhibit the adequacy of our methodology

Marker assisted selection for resistance against viral nervous necrosis in European seabass (Dicentrarchus labrax)

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Monitoring Software Reliability using Statistical Process Control: An MMLE Approach

ABSTRACT This paper consider an MMLE (Modified Maximum Likelihood Estimation) based scheme to estimate software reliability using exponential distribution. The MMLE is one of the generalized frameworks of software reliability models of Non Homogeneous Poisson Processes (NHPPs). The MMLE gives analytical estimators rather than an iterative approximation to estimate the parameters. In this paper we proposed SPC (Statistical Process Control) Charts mechanism to determine the software quality using inter failure times data. The Control charts can be used to measure whether the software process is statistically under control or not

Genetic Basis for Resistance Against Viral Nervous Necrosis: GWAS and Potential of Genomic Prediction Explored in Farmed European Sea Bass (Dicentrarchus labrax)

Viral nervous necrosis (VNN) is an infectious disease caused by the red-spotted grouper nervous necrosis virus (RGNNV) in European sea bass and is considered a serious concern for the aquaculture industry with fry and juveniles being highly susceptible. To understand the genetic basis for resistance against VNN, a survival phenotype through the challenge test against the RGNNV was recorded in populations from multiple year classes (YC2016 and YC2017). A total of 4,851 individuals from 181 families were tested, and a subset (n∼1,535) belonging to 122 families was genotyped using a ∼57K Affymetrix Axiom array. The survival against the RGNNV showed low to moderate heritability with observed scale estimates of 0.18 and 0.25 obtained using pedigree vs. genomic information, respectively. The genome-wide association analysis showed a strong signal of quantitative trait loci (QTL) at LG12 which explained ∼33% of the genetic variance. The QTL region contained multiple genes (ITPK1, PLK4, HSPA4L, REEP1, CHMP2, MRPL35, and SCUBE) with HSPA4L and/or REEP1 genes being highly relevant with a likely effect on host response in managing disease-associated symptoms. The results on the accuracy of predicting breeding values presented 20–43% advantage in accuracy using genomic over pedigree-based information which varied across model types and applied validation schemes.publishedVersio