E-Hospital Management & Hospital Information System – Use of IOT

To operate successfully and efficiently, a healthcare institution needs high-quality data and information management. To say that many companies, organizations, or government agencies are critically dependent on the use of database systems for their success, especially in hospitals, would be an understatement. This work aims to develop an improved hospital information management system using an activity-based approach. This study presents an effective hospital information management system that can be used to handle patient information and its administration. This aims to solve the issues that the current hospital information system has with inappropriate data retention, erroneous reports, and time wastage when storing, processing, and retrieving information to increase the overall effectiveness of the medical facility. Express.JS, Mongo DB, React.JS, and Node.JS were used to create the system. The technology offers a crucial storage and retrieval platform for information in hospitals. Many tests have been carried on, and they are attached and discussed in the document

3rd Zonal Workshop on Fisheries and Aquaculture Policy: Responsible Fisheries and Sustainable Aquaculture Perspectives for West Coast States Goa, Gujarat, Karnataka, Kerala, Maharashtra, and Union Territories of Daman and Diu, Dadra & Nagar Haveli and Lakshadweep

3rd Zonal Workshop on Fisheries and Aquaculture Policy: Responsible Fisheries and Sustainable Aquaculture Perspectives for West Coast States Goa, Gujarat, Karnataka, Kerala, Maharashtra, and Union Territories of Daman and Diu, Dadra & Nagar Haveli and Lakshadweep 21-23 June, 200

Studies on interaction of nematode, Pratylenchus delattrei and fungal pathogen, Fusarium incarnatum associated with crossandra wilt in Tamil Nadu, India

ABSTRACT Investigations were under taken in pot culture experiment to assess a possible interaction between fungal pathogen of crossandra, Fusarium incarnatum and lesion nematode Pratylenchus delattrei, at various population density combinations, time of inoculation and their effect on plant growth and wilt incidence of crossandra. Among varies pathogen and nematode population densities tested, the inoculation of pathogen load @3% w/v and nematode @ 1/g soil resulted in maximum reduction of plant growth parameters viz., shoot length (49.8%), shoot dry weight (52.6%), root length (47.0%), root dry weight (47.4%), and flower yield (82.6%). More over maximum root lesion index of 3.9/1-5 scale, wilt disease incidence of (50%) and nematode population up to 365 per 200 cc soil, were also recorded. Other experimental results revealed that the treatment involving inoculation of nematode prior to fungal pathogen recorded more disease incidence (58.3%), nematode (381/200cc) and pathogen (12.1×10 3 ), populations and there was significant reduction in root length, root weight, shoot height and shoot weight when compared with inoculation of pathogen and nematode simultaneously or inoculation of pathogen prior to nematode

Diversity of Ascidians from the Great Nicobar Biosphere Reserve (GNBR), India

The Great Nicobar Biosphere Reserve nurtures a diverse amount of life and is very importantto the biological diversity of India. Ascidians diversity has been recorded for the first timefrom the Great Nicobar Biosphere Reserve. In the present study, 15 species of ascidians werenoticed in both intertidal and sub-tidal regions of GNBR, belonging to two orders, threesuborders, six families and ten genera (Didemnum fulgens, Didemnum vexillum, Didemnumgranulatum, Didemnum albidum, Didemnum candidum, Trididemnum cyanophorum,Diplosoma simile, Diplosoma spongiforme, Clavelina oblonga, Aplidium fuscum, Synoicumcastellatum, Pycnoclavella diminuta, Ascidia virginea, Ascidiella aspersa and Styela sp.)during the year 2013-2014 of which, the Didemnidae family was recorded with the highdiversity of 15 species. Species richness were highly recorded in Bquary Beach and lowlyrecorded from Campbell Bay. The present data suggests that GNBR coast offers a uniqueopportunity for future research on the ascidians diversity and ecology assessment.Keywords: Ascidians, Biodiversity, GNB

Utilization of Marine Fishery Wastes for Protease Production by Halophilic Bacterium Halolactibacillus Miurensis RSK CAS7- A Microbial Approach

The marine wastes generates 50–60% of the total weight of shell fish as waste consists of protein (35–50%), chitin (15–25% of dry weight) which considered as major environmental pollutants due to uncontrolled dumping. The utilisation of marine waste not only solves environmental problems but also decreases the production costs of microbial products. So far in this study, halophilic bacterium was isolated from marine ascidians and identified as Halolactibacillus miurensis RSK CAS7 through 16S rRNA sequence. The effect of different marine wastes such as shrimp shell powder (SSP), crab shell powder (CSP), squid pen powder (SPP), sardinella powder, tuna powder and anchovy powder were tested on protease production. Among these Sardinella powder (579.46 U/ml) and shrimp shell powder (470.36 U/ml) showed maximum level of protease production and followed by other marine wastes. All the significant nutrients identified from the preliminary screening were further screened by using Plackett - Burman Design and it resulted sardinella powder, K2HPO4,NaCl and pH were the highly influencing factors and their concentration were further optimized by using central composite design. Central composite design revealed that four independent variables such as Sardinella powder (14.21 g/l), K2HPO4 (3.81 g/l), NaCl (154.1 g/l) and pH (9.0) were significantly influenced the protease production. With these optimum concentration levels, the maximum protease production (1,794.41 U/ml) was observed. Thus, protease production by microbial conversion of marine wastes suggested its potential utilisation for the production of high value products.Keywords: Waste Management, Protease, Marine Wastes, Halophilic Bacteri

Performance of Activity Group under the Swarnjayanti Gram Swarozgar Yojana (SGSY) in Kerala

Fisherwomen contribute significantly to fisheries growth in Kerala. To enhance the participation of women in agriculture and allied fields, Government of India has implemented several developmental programmes.The Swarnjayanti Gram Swarozgar Yojana (SGSY) is implemented in Kerala to assist poor families (Swarozgaries) living below the poverty line by ensuring appreciable sustained income through micro enterprises. The present study was conducted in 7 Panchayats in the Ernakulam district of Kerala. Majority (88%) started the new micro enterprise in 2008 and 12 per cent in 2010. About 60 per cent of the group seek technical advice on financial transactions from the funding agency/ Micro Financial Institutes (MFIs) and 40 per cent groups take own decisions. All the groups conduct meetings either weekly or monthly for discussing their records on the sales. Decision making in the group is by all the members. The study includes detailed findings about the economic performance of the group, group profile and constraints faced by the group

Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets

<p>Abstract</p> <p>Background</p> <p>Tuberculosis is a contagious disease caused by <it>Mycobacterium tuberculosis </it>(Mtb), affecting more than two billion people around the globe and is one of the major causes of morbidity and mortality in the developing world. Recent reports suggest that Mtb has been developing resistance to the widely used anti-tubercular drugs resulting in the emergence and spread of multi drug-resistant (MDR) and extensively drug-resistant (XDR) strains throughout the world. In view of this global epidemic, there is an urgent need to facilitate fast and efficient lead identification methodologies. Target based screening of large compound libraries has been widely used as a fast and efficient approach for lead identification, but is restricted by the knowledge about the target structure. Whole organism screens on the other hand are target-agnostic and have been now widely employed as an alternative for lead identification but they are limited by the time and cost involved in running the screens for large compound libraries. This could be possibly be circumvented by using computational approaches to prioritize molecules for screening programmes.</p> <p>Results</p> <p>We utilized physicochemical properties of compounds to train four supervised classifiers (Naïve Bayes, Random Forest, J48 and SMO) on three publicly available bioassay screens of Mtb inhibitors and validated the robustness of the predictive models using various statistical measures.</p> <p>Conclusions</p> <p>This study is a comprehensive analysis of high-throughput bioassay data for anti-tubercular activity and the application of machine learning approaches to create target-agnostic predictive models for anti-tubercular agents.</p