Charge and mass effects on the evaporation of higher-dimensional rotating black holes

To study the dynamics of discharge of a brane black hole in TeV gravity scenarios, we obtain the approximate electromagnetic field due to the charged black hole, by solving Maxwell's equations perturbatively on the brane. In addition, arguments are given for brane metric corrections due to backreaction. We couple brane scalar and brane fermion fields with non-zero mass and charge to the background, and study the Hawking radiation process using well known low energy approximations as well as a WKB approximation in the high energy limit. We argue that contrary to common claims, the initial evaporation is not dominated by fast Schwinger discharge.Comment: Published version. Minor typos corrected. 29 pages, 5 figure

FORMULATION AND EVALUATION OF SUSTAINED RELEASE MATRIX TABLETS OF LEVOSULPIRIDE BY USING NATURAL POLYMER

Objective: The objective of the present study was to develop sustained release matrix tablets of levosulpiride by using natural polymers.Method: The tablets were prepared with different ratios of Chitosan, Xanthan gum and Guar gum by wet granulation technique. The solubility study of the levosulpiride was conducted to select a suitable dissolution media for in vitro drug release studies.Results: Fourier transform infrared (FTIR) study revealed no considerable changes in IR peak of levosulpiride and hence no interaction between drug and the excipients. DSC thermograms showed that no drug interaction occurred during the manufacturing process. In vitro dissolution study was carried out for all the formulation and the results compared with marketed sustained release tablet. The drug release from matrix tablets was found to decrease with increase in polymer ratio of Chitosan, Xanthan gum and Guar gum.Conclusion: Formulation LF3 exhibited almost similar drug release profile in dissolution media as that of marketed tablets. From the results of dissolution data fitted to various drug release kinetic equations, it was observed that highest correlation was found for First order, Higuchi's and Korsmeyer equation, which indicate that the drug release occurred via diffusion mechanism.    Â

Gender Based Mood Analysis on Purchase of Wrist Watches in Bangalore, Karnataka

Buying behavior and spending pattern are highly influenced by mood of the customer in general. Mood shapes person’s attention, choices of the product and purchasing decision though the life span of mood is short. Organizations must find out means and measures to trigger customers’ mood into positive that in turn will induce them to buy the product. This article focuses on gender-based mood analysis on purchase of wrist watches. The researcher has adopted structured questionnaire to get the primary responses from the respondent to study how far mood varies among the genders on purchase of wrist watches and researcher has made framework to highlight the order of the measures / attributes to be followed to trigger the customers’ mood. The researcher has applied descriptive statistics to present the key aspects of mood of the respondents and applied ranking method to identify the attribute that trigger the mood of the potential customers. It is concluded that the attribute of demonstration of wrist watches features in specific to men and women, building a community group and attribute of need, elite and self-esteem, sense of accomplishment, aspiration, and marketing communication tactics are some of the significant attributes that trigger the customers to buy wrist watches from highest order to lowest order

Soil temperature prediction based on ensemble tree bagger machine learning algorithm for agricultural decision making

This study focuses on predicting surface soil temperature (ST) at a 5 cm depth, which significantly influences agricultural decisions such as sowing time, irrigation management and soil-plant-atmosphere dynamics. Machine learning (ML) algorithms were used to predict ST using above-ground weather variables viz., air temperature (T), relative humidity (RH), wind velocity (WV) and sunshine duration (SS) measured at 15-min intervals. Six regression-based ML models (Ensemble, Gaussian Process Regression, Support Vector Machine, Tree, Neural Network and Kernel) were trained and tested for predictive accuracy. The Ensemble Bagging Tree model showed the highest precision, with RMSE values of 2.04 and 1.9 for validation and testing, respectively. Various combinations of the weather variables were tested and the model performed best when using above mentioned variables. Among the predictors, T had the greatest impact on ST prediction, as indicated by mean absolute Shapley values. The Shapley values of the variables revealed that T had a critical role in the model output, with time, SS, RH and WV following in importance. Additionally, as a model explainable artificial intelligence (xAI) metrics, SHapley Additive exPlanations (SHAP) were analysed and found that SHAP dependency had a defined relationship between the predictors and ST at a 5 cm depth. This study highlights the effectiveness of machine learning in predicting soil temperature and emphasizes the role of weather variables in agricultural decision-making. decision-making

Effect of nutrients and spacing on growth characters, yield attributes and yield under high-density planting system of cotton

Field experiments were conducted at the farmer's field, Madathanoor village, Pochamapalli taluk, Krishnagiri district, from August to January 2023-2024 and at the Experimental Farm, Department of Agronomy, Faculty of Agriculture, Annamalai University, from January to June 2024 to study the yield maximization through agronomic strategies under high-density planting system (HDPS) of cotton. The field experiment was laid out in a factorial randomized block design with three replications. The experiment comprised 12 treatment combinations containing three levels of nutrients and four levels of spacing. The nutrient levels of N1- 80:40:40 nitrogen, phosphorus, potassium (NPK) kg ha-1 , N2 - 100:50:50 NPK kg ha-1 and N3 - 120:60:60 NPK kg ha-1 recommended doses of fertilizers (RDF) were tried with S1 - 60 x 10 cm, S2 - 60 x 15 cm, S3 - 70 x 10 cm and S4 - 100 x 10 cm spacing. The results revealed that the combination of 120:60:60 NPK kg ha-1 + 60 x 10 cm spacing registered higher plant height. Also, the combination of 120:60:60 NPK kg ha-1 + 100 x 10 cm spacing registered higher leaf area index (LAI) and dry matter production (DMP), yield attributing characters (sympodial branches plant-1 , number of squares plant-1 and boll weight) and seed cotton yield. In controversially, the combination of 120:60:60 NPK kg ha-1 + 60 x 10 cm spacing registered higher plant height

Acute coronary syndrome in very young adults (

Background: Acute coronary syndrome in very young adults (<35 yrs) was considered as an uncommon entity, recently shows rising incidence especially in India. Hence we planned this study with the aim, to investigate the incidence, clinical, angiographic profile and outcome of ACS in this population. Methods: This is a prospective analytical study included patient <35 yrs  with ACS admitted to cardiology department in a tertiary hospital of   South India. Risk factors, clinical, angiographic profile and follow up data were recorded and analyzed. Results: Among the total 2180 patients with ACS, 5.8% (n=127) were very young adults. Youngest one was 11 yrs old with coronary anomaly. Median age was 30yrs (SD±3) and only 8.6% (n=10) were obese. Smoking, male sex were the major conventional risk factors followed by low HDL (52%). Family history of premature coronary event seen in 12.9%, hyperhomocysteinemia, elevated LPA and high fibrinogen were observed in 15%, 20% and 3.5% respectively. Anterior wall MI with LAD occlusion was the commonest type (66.3%). Angiographically 31.4% (36/116) had recanalised vessels, coronary anomaly was seen in 3 (2.5%) patients and pure ectasia in 4 (3.4%) patients. Only 2 were undergone primary PCI (1.7%), 61% (n=71) received thrombolytic therapy. Median delay for angiogram was 72 hrs (3 days). In-hospital mortality was 3.4% and 4.5% (n=5) during follow up. Conclusions: The incidence of ACS among very young adults is on the rising trend (5.8%). Obstructive CAD in 56.9% patients implies the rapid progression of atherosclerosis. With little contribution of novel risk markers of atherosclerosis, smoking and dyslipidemia accelerate the process of premature vascular aging in Indian subcontinent

Human milk banking: One year experience from a tertiary care centre

Introduction: A human milk bank (HMB) systematically collects, screens, processes, and dispenses excess milk donated by healthy nursing mothers. First HMB of Asia was established in the year 1989 in Mumbai, but there are still insufficient milk banks in India. Objective: This study aimed to provide our experience in the past 1 year. Methods: This retrospective descriptive study was conducted in the HMB of a tertiary care institution. The data were collected from donor forms and other milk bank records in the milk bank. All the demographic details and bacteriological data were collected. Results: There were 1168 donors with no extramural donors. Of these, 882 donors had term babies and 286 had preterm babies. The mean age of the donor population was 23.53±3.27 years. On the analysis of the volume of milk donated, the mean volume was 77.62±51.26 ml. A total of 90,660 ml of human milk was collected during the study period of 1 year. The bacteriological culture of the donor milk showed growth in 42 (3.6%) samples and was discarded. Klebsiella (2.39%) was the most common organism followed by Escherichia coli (0.44%) and Staphylococcus (0.35%). There were 1424 recipients and about 74% of them, were preterm babies. There were no extramural recipients. Conclusion: For a large number of preterm babies and the neonates without breast milk in India, pasteurized donor human milk will be the best source of nutrition. Hence, number of HMBs will improve the neonatal survival and reduce the morbidity

SECURING WEB APPLICATIONS WITH OWASP ZAP FOR COMPREHENSIVE SECURITY TESTING

The powerful Open Web Application Security Project (OWASP)-Zed Attack Proxy (ZAP) tool secures web applications with extensive security testing. Its main goal is to find and fix web application vulnerabilities before they can be exploited. The goal is to improve web application security using OWASP ZAP scans and inspections. Simulating SQL injection and cross-site scripting attacks using the tool reveals an application's security flaws. OWASP ZAP automates testing to protect sensitive data and web application integrity. The purpose is to protect online applications from attacks to reduce security breaches and ensure industry compliance. Modern online applications' security and dependability depend on OWASP ZAP's systematic vulnerability discovery and mitigation. By enhancing scan performance and providing actionable security information, the experimental results show that the OWASP ZAP helps safeguard online applications and reduce the danger of cyberattacks. The objective is to enhance its skills to provide comprehensive, prompt, dependable security evaluations across various situations

Biology, Fishery, Conservation and Management of Indian Ocean Tuna Fisheries

The focus of the study is to explore the recent trend of the world tuna fishery with special reference to the Indian Ocean tuna fisheries and its conservation and sustainable management. In the Indian Ocean, tuna catches have increased rapidly from about 179959 t in 1980 to about 832246 t in 1995. They have continued to increase up to 2005; the catch that year was 1201465 t, forming about 26% of the world catch. Since 2006 onwards there has been a decline in the volume of catches and in 2008 the catch was only 913625 t. The Principal species caught in the Indian Ocean are skipjack and yellowfin. Western Indian Ocean contributed 78.2% and eastern Indian Ocean 21.8% of the total tuna production from the Indian Ocean. The Indian Ocean stock is currently overfished and IOTC has made some recommendations for management regulations aimed at sustaining the tuna stock. Fishing operations can cause ecological impacts of different types: by catches, damage of the habitat, mortalities caused by lost or discarded gear, pollution, generation of marine debris, etc. Periodic reassessment of the tuna potential is also required with adequate inputs from exploratory surveys as well as commercial landings and this may prevent any unsustainable trends in the development of the tuna fishing industry in the Indian Ocean