Frequency of metabolic syndrome in stroke: a study in a tertiary health care centre in north Kerala

Background: Stroke is a leading cause of death and disability in developing countries beginning to affect young adults. Key components of the metabolic syndrome are important risk factors for stroke. This study intended to study the prevalence of metabolic syndrome in patients with stroke. Screening adolescents and young adults for components of metabolic syndrome will prove useful in clinical management, and its elements ultimately become important therapeutic targets for the reduction of stroke burden in the general population.Methods: Data was collected from 150 patients who were admitted with cerebrovascular accident (CVA) in the Department of Medicine. Frequency tests were conducted for various risk factors. Chi-square and Fisher exact test were used to test the significance of proportion of study parameters in the classes. The observations in this study were analysed using SPSS software.Results: Metabolic syndrome was present in 46% of the study population. Among the components of the metabolic syndrome, Hypertension was the most prevalent risk factor (68%). 67.14% of the population had 2 components of metabolic syndrome which predisposes them to a greater risk of developing metabolic syndrome over a period of few months to years.Conclusions: With the obesity epidemic, the impact of the metabolic syndrome is likely to increase. Thus, diagnosing and adequately managing metabolic syndrome is an important step in the preventing cerebrovascular disease. This study emphasises the need to target the population with one or more components of the metabolic syndrome as they are at high risk of developing stroke in the future

EQUILIBRIUM, ISOTHERM, KINETIC AND THERMODYNAMIC ADSORPTION STUDIES OF TETRACYCLINE HYDROCHLORIDE ONTO COMMERCIAL GRADE GRANULAR ACTIVATED CARBON

Objective: The work presented here reveals the adsorption pattern of Tetracycline Hydrochloride (TC-HCl) onto granular activated carbon (GAC) in a batch process.Methods: Initially the consequence of various factors such as initial concentrations at various time intervals, pH (1- 7) and temperature (15, 28, 50 °C) were carried out.Results: The removal efficiency increased with an increase in initial concentration from 200mg L-1to 800mg L-1and then decreased up to1000 mg L-1. The adsorption capacity was found to be maximum in the pH range of 6-7. The estimated enthalpy was -22.540 kJ mol-1. The initial and treated GAC were characterized by SEM that elucidated the surface pattern of TC-HCl onto GAC. The scrutinization of kinetic studies revealed that Pseudo first order and Pseudo second order model gave anexcellent fit with experimental data. Among the four equilibrium models,Freundlich and Temkin isotherm model gave a good fit and confirms that the adsorption behavior of TC-HCl onto GAC is controlled by chemisorption.Conclusion: Thus, batch adsorption of TC-HCl onto GAC was controlled by chemical reaction and an exothermic process

Telugu Text Categorization using Language Models

Document categorization has become an emerging technique in the field of research due to the abundance of documents available in digital form. In this paper we propose language dependent and independent models applicable to categorization of Telugu documents. India is a multilingual country; a provision is made for each of the Indian states to choose their own authorized language for communicating at the state level for legitimate purpose. The availability of constantly increasing amount of textual data of various Indian regional languages in electronic form has accelerated. Hence, the Classification of text documents based on languages is crucial. Telugu is the third most spoken language in India and one of the fifteen most spoken language n the world. It is the official language of the states of Telangana and Andhra Pradesh. A variant of k-nearest neighbors algorithm used for categorization process. The results obtained by the Comparisons of language dependent and independent models

Study of association of respiratory viruses in the etiology of acute lower respiratory tract infections in children and correlation with clinical and laboratory features: role of emerging new viruses

Background: Viruses are one of the major causes of childhood pneumonia with the respiratory syncytial virus getting great attention as an important organism for pneumonia. Methods: This cross-sectional study was conducted in the Department of Paediatrics, Sree Gokulam Medical College and Research Foundation, Thiruvananthapuram, Kerala from May 2022 TO November 2022. 119 children admitted with lower respiratory tract infections were included in this study. Symptoms, signs, and investigation reports including PCR and clinical course in the hospital were recorded. Results: 25% of children were in the age group less than 1 year, 52% were between 1-5 years and 23% were above 5 years. Viruses were isolated in 82 patients (68.9%). The main viruses were respiratory syncytial virus (23.5%), boca virus (16.14%), influenza A (7.5%), influenza B (4.2%), meta pneumonia virus (3.3%), and para influenza virus (2.5%). Patients with boca virus infections had a more severe clinical course. Conclusions: Molecular testing with PCR along with clinical and lab parameters will help us to have more insights into the etiology and clinical presentation of respiratory infections in children and help us to do optimum management avoiding unnecessary antibiotic usage

Changes in biological productivity associated with Ningaloo Niño / Niña events in the southern subtropical Indian Ocean in recent decades

Using observations and long term simulations of an ocean-biogeochemical coupled model, we investigate the biological response in the southern subtropical Indian Ocean (SIO) associated with Ningaloo Niño and Niña events. Ningaloo events have large impact on sea surface temperature (SST) with positive SST anomalies (SSTA) seen off the west coast of Australia in southern SIO during Ningaloo Niño and negative anomalies during Niña events. Our results indicate that during the developing period of Ningaloo Niño, low chlorophyll anomaly appears near the southwest Australian coast concurrently with high SSTA and vice-versa during Niña, which alter the seasonal cycle of biological productivity. The difference in the spatiotemporal response of chlorophyll is due to the southward advection of Leeuwin current during these events. Increased frequency of Ningaloo Niño events associated with cold phase of Pacific Decadal Oscillation (PDO) resulted in anomalous decrease in productivity during Austral summer in the SIO in the recent decades

ANALYSIS OF DATA HIDING ALGORITHMS FOR IMAGE SECURITY

The main goal of reversible data hiding algorithms is to embed the secret information in cover image and recover it back successfully. So we have implemented two methods. In first method, cover image is encrypted using stream cipher and pseudo randomly generated key and compressed using haar wavelet compression. The encrypted compressed image acts as a media for hiding secret image. And in second method, secret image is encrypted using randomly generated key and it is hidden in cover image. In both the method data hiding is done using LSB based image steganography. At the receiver, reverse process is done to extract secret image and recover cover image. At the end, we conclude that second method gives better security of image compared to method one

Renewable Energy Powered Autonomous Smart Ocean Surface Vehicles (REASOSE)

The REASOSE is not just an Ocean surface vehicle, its poly-type smart autonomous propulsion which eliminates the limitations of existing surface vehicles (remotely operated). The renewable energy source always proved to be abundance of availability in the environment, since the power created through renewable source with loss is engineering acceptance which can immobilise the vehicle. But REASOSE is a unique vehicle with poly-type propulsion incorporated with different renewable sources from the environment which furnishes the consistency of the vehicle inevitable. The REASOSE is a smart intelligent system of vehicle that autonomously switch over to the efficient propulsion as per the availability and in kind of any hindrances the vehicle acts smartly and reaches its destination contiguously. The proposed project novelty is not only stick to a line, the proposed vehicle serves to be change over for versatile applications, the vehicle will be incorporated with high definition live transmitted camera serves for coastal surveillance, deep sea monitoring and so on. The integrated CTD, ADCP and other oceanographic sensors can be a changeover in data collection at different area at required region and time. The stack-up space provides the transportation during unconditional or conditional mode of cargo transfer to required destination

Renewable Energy Powered Autonomous Smart Ocean Surface Vehicles (REASOSE)

The REASOSE is not just an Ocean surface vehicle, its poly-type smart autonomous propulsion which eliminates the limitations of existing surface vehicles (remotely operated). The renewable energy source always proved to be abundance of availability in the environment, since the power created through renewable source with loss is engineering acceptance which can immobilise the vehicle. But REASOSE is a unique vehicle with poly-type propulsion incorporated with different renewable sources from the environment which furnishes the consistency of the vehicle inevitable. The REASOSE is a smart intelligent system of vehicle that autonomously switch over to the efficient propulsion as per the availability and in kind of any hindrances the vehicle acts smartly and reaches its destination contiguously. The proposed project novelty is not only stick to a line, the proposed vehicle serves to be change over for versatile applications, the vehicle will be incorporated with high definition live transmitted camera serves for coastal surveillance, deep sea monitoring and so on. The integrated CTD, ADCP and other oceanographic sensors can be a changeover in data collection at different area at required region and time. The stack-up space provides the transportation during unconditional or conditional mode of cargo transfer to required destination