Liturgical Traditions in Kalithogai

All human beings around the world live by accepting some philosophical theory. Tamil people are also following some kind of philosophical theory in their life since ancient period. Thus Tholkkapiyar in Tholkaapiyam explains the five types of landforms and the gods worshiped there. The first volume of the book Primitive Culture published by the English anthropologist Edward Burnett Tyler (1831-1917) in the 19th century, explains about the primitive culture in first volume and about primitive religion in second volume. This article analyses the songs sung by five poets, Perungadungo who sang paalaikali, Kapilan who sang kurinchikali, Marutanilanaganar who sang maruthakalip, and Nallundhuvanar who sang neithalkalip. It also explains about the gods and worship traditions of the people living in the five landforms

A Descriptive Cross Sectional Study on factors influencing the Quality of Primary Health Care Services Provided by Multi Purpose Health Workers in Tiruvallur District, Tamil Nadu.

INTRODUCTION : Primary health care was a new approach to health care that came into existence following an international conference in Alma Ata in 1978 organised by the World Health Organisation and the UNICEF. The Alma Ata conference defined primary health care as follows: Primary health care is essential health care based on practical, scientifically sound and socially acceptable methods and technology made universally accessible to individuals and families in the community through their full participation and at a cost that the community and the country can afford to maintain at every stage of their development in the spirit of self-determination. OBJECTIVES : The objectives of this research therefore are as follows: 1. To explore and describe barriers Multi Purpose Health Workers experience in delivery of a quality primary health care service in Tiruvallur district, state Tamil Nadu. 2. To identify enablers to a quality primary health care service in Tiruvallur district, state Tamil Nadu To identify support systems for a quality primary health care service in Tiruvallur district, state of Tamil Nadu. CONCLUSIONS : The conclusions will be explained with the aid of Donabedian’s structure/process/outcome model as barriers and enablers. Resources are more limited than ever. Staffing levels are unrealistically low, vacant posts are frozen and staff have to cope with increased workload and increasing demands of the community, as well as expectations from the health department and government. Obtaining stock and equipment is a major problem, and most Primary health centers functions with a deficient budget. Buildings are inadequate and not close enough to patients. There seems to be few structural enablers present in Tiruvallur district of Tamil Nadu. Training, information systems and quality management programmes was identified in the literature study as enablers, but in this study it was identified as lacking, and thus barriers to the structural component of the Tiruvallur district of Tamil Nadu

MODEL KONTROLE PRISTUPA USLUGAMA U OBLAKU NA OSNOVU RAZLIČITIH ULOGA KORISNIKA

The rapid development of computer technology, cloud-based services have become a hot topic. They not only provide users with convenience, but also bring many security issues, such as data sharing and privacy issue. In this paper, we present an access control system with privilege separation based on privacy protection (PS-ACS). In the PS-ACS scheme, we divide users into private domain (PRD) and public domain (PUD) logically. In PRD, to achieve read access permission and write access permission, we adopt the Key-Aggregate Encryption (KAE) and the Improved Attribute-based Signature (IABS) respectively. In PUD, we construct new multi-authority cipher text policy attribute-based encryption (CP-ABE) scheme with efficient decryption to avoid the issues of single point of failure and complicated key distribution, and design an efficient attribute revocation method for it. The analysis and simulation result shows that our scheme is feasible and superior to protect users’ privacy in cloud-based services.Nagli razvoj računalne tehnologije, usluge temeljene na oblaku, postale su aktualna tema. Oni ne samo da korisnicima pružaju praktičnost, nego i donose mnoga sigurnosna pitanja, kao što je dijeljenje podataka i problem privatnosti. U ovom radu predstavljamo sustav kontrole pristupa s razdvajanjem povlastica na temelju zaštite privatnosti (PS-ACS). U PS-ACS shemi, podijelimo korisnike na privatnu domenu (PRD) i javnu domenu (PUD) logično. U PRD-u, da bi se postiglo dopuštenje pristupa za čitanje i dopuštenje za pisanje, usvajamo ključno šifriranje (KAE) i poboljšani potpis na temelju atributa (IABS). U PUD-u konstruiramo novu shemu šifriranja (CP-ABE) koja se temelji na pravilima šifriranog teksta s učinkovitim dešifriranjem kako bismo izbjegli probleme s jednom točkom neuspjeha i komplicirane distribucije ključeva i dizajnirali učinkovitu metodu opoziva atributa za nju. Rezultati analize i simulacije pokazuju da je naša shema izvediva i superiorna za zaštitu privatnosti korisnika u uslugama temeljenim na oblaku

Report of Acoustic Test on PSLV IS.1/2L Structure

The results of acoustic conducted on PSLV IS.1/2L at Acoustic Test Facility are briefly given. It contains test set up, Instrumentation details and tables of spectral response

ANALYSIS OF CLASSIFICATION ALGORITHMS ON DIFFERENT DATASETS

Purpose. Data mining is the forthcoming research area to solve different problems and classification is one of main problem in the field of data mining. In this paper, we use two classification algorithms J48 and Sequential Minimal Optimization alias SMO of the Weka interface. Methodology. It can be used for testing several datasets. The performance of J48 and Sequential Minimal Optimization has been analyzed to choose the better algorithm based on the conditions of the datasets. The datasets have been chosen from UCI Machine Learning Repository. Findings. Algorithm J48 is based on C4.5 decision-based learning and algorithm Sequential Minimal Optimization uses the Support Vector Machine approach for classification of datasets. When comparing the performance of both algorithms we found Sequential Minimal Optimization is better algorithm in most of the cases. Originality. This is the first implemented research work up to my knowledge, data sets classification problem handled in data mining using SMO with Weka interface

Antibiotic efficacy patterns in the critically ill

Background: Knowledge of antibiotic sensitivity patterns in the critically ill would lead to better outcomes by refinement of empirical therapy. The aim of the study was to analyze the antibiotic sensitivity patterns of pathogens in the critically ill.Methods: Retrospective analytical study of 267 culture samples from critically ill patients was done. Data was collected from hospital medical records department and analyzed.Results: In case of community-acquired infections, carbapenems and piperacillin-tazobactam had high efficacy for UTI; carbapenems, aminoglycosides and levofloxacin had intermediate efficacy for pneumonia; aminoglycosides, piperacillin-tazobactam, carbapenems and quinolones had intermediate efficacy for soft tissue infections; and linezolid and vancomycin had high efficacy for blood borne sepsis of unknown source. In case of hospital acquired infections, carbapenems and aztreonam had intermediate efficacy for UTI; aminoglycosides had intermediate efficacy for blood borne sepsis of unknown source and aminoglycosides had high efficacy for CLABSI. Only colistin and tigecycline demonstrated high efficacy for VAP. Colistin and tigecycline showed high efficacy for community and hospital acquired UTI, pneumonia and soft tissue infections as well as gram negative CLABSI and hospital acquired blood borne sepsis of unknown source.Conclusions: The study shows that in critically ill, in general, carbapenems are fast losing their efficacy. Colistin and tigecycline are effective even against MDR pathogens in their spectrum. Fluoroquinolones and cephalosporins have poor efficacy overall to be recommended for empirical therapy. Piperacillin-tazobactam is not satisfactory for many critical infections. Amikacin has variable efficacy. Linezolid, vancomycin and teicoplanin are highly active against MRSA and Enterococcus infections

ANN-based decision making in station keeping for geotechnical drilling vessel

Offshore vessels (OVs) often require precise station-keeping and some vessels, for exam-ple, vessels involved in geotechnical drilling, generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these vessels are equipped with both systems to cover all ranges of water depths. However, determining which system to use for a particular operational scenario de-pends on many factors and requires significant balancing in terms of cost-benefit. Therefore, this research aims to develop a platform that will determine the cost factors for both the SM and DP station-keeping systems. Operational information and cost data are collected for several field oper-ations, and Artificial Neural Networks (ANN) are trained using those data samples. After that, the trained ANN is used to predict the components of cost for any given environmental situation, field-work duration and water depth. Later, the total cost is investigated against water depth for both DP and SM systems to determine the most cost-effective option. The results are validated using two operational scenarios for a specific geotechnical vessel. This decision-making algorithm can be further developed by adding up more operational data for various vessels and can be applied in the development of sustainable decision-making business models for OVs operators

Divergent evolution of Corynebacterium diphtheriae in India: An update from National Diphtheria Surveillance network.

Diphtheria is caused by a toxigenic bacterium Corynebacterium diphtheria which is being an emerging pathogen in India. Since diphtheria morbidity and mortality continues to be high in the country, the present study aimed to study the molecular epidemiology of C. diphtheriae strains from India. A total of 441 diphtheria suspected specimens collected as part of the surveillance programme between 2015 and 2020 were studied. All the isolates were confirmed as C. diphtheriae with standard biochemical tests, ELEK's test, and real-time PCR. Antimicrobial susceptibility testing for the subset of isolates showed intermediate susceptibility to penicillin and complete susceptible to erythromycin and cefotaxime. Isolates were characterized using multi locus sequence typing method. MLST analysis for the 216 C. diphtheriae isolates revealed major diversity among the sequence types. A total of 34 STs were assigned with majority of the isolates belonged to ST466 (30%). The second most common ST identified was ST405 that was present in 14% of the isolates. The international clone ST50 was also seen. The identified STs were grouped into 8 different clonal complexes (CC). The majority belongs to CC5 followed by CC466, CC574 and CC209, however a single non-toxigenic strain belongs to CC42. This epidemiological analysis revealed the emergence of novel STs and the clones with better dissemination properties. This study has also provided information on the circulating strains of C. diphtheriae among the different regions of India. The molecular data generated through surveillance system can be utilized for further actions in concern