DAY-TRADERS WORKING IN STOCK MARKET & RISK PROFILE OF NONCOMMUNICABLE DISEASES

Background: A Day-trader who is involved typical working day. He/she would have to endure extremes of unpredictable market fluctuations placing them at a greater risk of non-communicable disease. The data regarding these health issues among day-traders working in stock market in India is deficient. Objectives: This study was devised with the aim of studying the risk profile among day-traders and compare them with a comparative group. Materials & Methods: A total of 128 (64 Day-traders; 64 IT-Professionals) were interviewed using the WHO-Steps Questionnaire. Proportions, Mean values, Odds ratio and p-values were calculated with the help of statistical package STATA version 14. Results: The overall mean age of the study participants was 42.24 ±6.61 with the mean age 41.78 ±5.16 and 42.7 ±7.82 respectively. The prevalence rates of alcohol use, tobacco use, inadequate physical activity and inadequate diet among day traders were 68.6%, 56.3%, 64% and 89% respectively. More than 50% were overweight or had abdominal obesity and more than three-fourths had high blood pressure. Conclusions: The burden of NCD risk factors was high in the study population compared to the national averages. The prevalence of risk factors was high in day-traders as compared to IT professionals. Use of tobacco and prevalence of obesity & hypertension were found to be high among day-traders. KEYWORDS: Stock market; Day-trader; Risk-profile; Non-communicable disease; WHO-STEPs approach

Implementing Dynamic Coarse & Fine Grained Taint Analysis for Rhino JavaScript

Web application systems today are at great risk from attackers. They use methods like cross-site scripting, SQL injection, and format string attacks to exploit vulnerabilities in an application. Standard techniques like static analysis, code audits seem to be inadequate in successfully combating attacks like these. Both the techniques point out the vulnerabilities before an application is run. However, static analysis may result in a higher rate of false positives, and code audits are time-consuming and costly. Hence, there is a need for reliable detection mechanisms. Dynamic taint analysis offers an alternate solution — it marks the incoming data from the untrusted source as ‘tainted.’’ The flow of tainted data is tracked during the program execution. Whenever tainted data is used in a security-sensitive context, a proper action is taken. The execution may also be suspended depending upon the severity of the operation. This project implements dynamic taint analysis in Rhino JavaScript. The focus is on adding support for coarse-grained and fine-grained string tainting. Coarse-grained tainting works at the granularity level of a string while fine-grained tainting works at the granularity level of a character in a string. Both approaches are discussed in further detail in the paper. I have also written a SQL library to leverage my implementation of taint analysis in Rhino and conducted performance tests to contrast the overhead of coarse & fine grained taint analysis. My test results show that fine-grained taint analysis in general incurs more overhead than coarse-grained taint analysis

Participatory Learning of Medical Students through Development of Innovative Training Modules for Community Health Workers

Background: Community Medicine is a subject which receives relatively less attention in medical curriculum. Active participation of students in preparation of training modules for Community Health Workers (CHWs) could facilitate their learning in topics related to Community Medicine. This study aimed to involve medical students in the preparation of training modules for CHWs and assess the effects of their participation on their knowledge about targeted diseases. Methods: An interventional study where all 144 undergraduate fifth-semester students from Bharati Vidyapeeth University Medical College, Pune, India posted at Community Medicine Department participated in the preparation of training modules for CHWs on HIV/AIDS, tuberculosis, malaria and diabetes and completed pre- and post-intervention questionnaire. Each completed questionnaire was assigned a score based on a marking system. The data was analysed using paired t test. Results: Statistically significant improvement in knowledge was found (pre-test mean score: 5.79, post-test mean score: 14.15, t = 26.93, p<0.001). All faculty opined that community visits followed by health education module preparation activity were innovative components in this study. All 119 participants agreed that their knowledge about targeted diseases improved due to module preparation activity. Conclusion: Active participation of students can facilitate their learning behavior. Students became aware of the principles of ‘Group Dynamics’ as a result of active involvement in training module preparation

Enhanced artificial bee colony algorithm with mobile sink management to improve network lifetime in WSN

Traditionally wireless sensor network uses multi-hop routing to transmit the data from source node to the sink. Many problems arise due to multi hop routing, the common problem is hotspot problem and transmission overhead. The paper has propose mobile sink based algorithm for Collection of data in wireless sensor network. Data Collection will be encouraged with efficient cluster head selection and enhanced artificial Bee Colony algorithm (EABC). Analysis of the proposed method with existing research methods has been done. Simulation results shows that proposed algorithm can effectively reduce transmission overload, and improve network lifetime, when compared with similar ant Colony algorithm and traditional LEACH methodology. Effective management of mobile sink and exploring shortest path through it proves efficient in energy Optimization of wireless sensor network

Enhanced artificial bee colony algorithm with mobile sink management to improve network lifetime in WSN

Traditionally wireless sensor network uses multi-hop routing to transmit the data from source node to the sink. Many problems arise due to multi hop routing, the common problem is hotspot problem and transmission overhead. The paper has propose mobile sink based algorithm for Collection of data in wireless sensor network. Data Collection will be encouraged with efficient cluster head selection and enhanced artificial Bee Colony algorithm (EABC). Analysis of the proposed method with existing research methods has been done. Simulation results shows that proposed algorithm can effectively reduce transmission overload, and improve network lifetime, when compared with similar ant Colony algorithm and traditional LEACH methodology. Effective management of mobile sink and exploring shortest path through it proves efficient in energy Optimization of wireless sensor network

An evaluation of building sets designed for modular machine tool structures to support sustainable manufacturing

The modularization of machine tool frames is an approach when designing new machine tool structures in a sustainable context. By integration of microsystem technology and designing lightweight modules, a smart alternative to conventional machine tool frames is developed. In previous studies, this concept has been evaluated along with a compilation of the possible use-case scenarios and the potential benefits from using modular electronics. In the presented paper, the geometric requirements from the selected use-case scenarios for machine tool structures are identified by dividing the structures in their ideal mechanic equivalents. A set of rules is developed driven by the generalized geometric requirements of the machine tool frames. Three different approaches of polyhedral building sets are shown and evaluated for their merits based on criteria of geometric functionality and sustainability. Finally, a prototypical modular portal frame is presented for the proof of concept

A solid dispersion based on milk-micelle as a drug-carrier for the enhancement of the aqueous solubility of ritonavir

The goal of present investigation was to evaluate the feasibility of formulating a solid-dispersion using milk-micelles as drug-carriers, to enhance the aqueous solubility of ritonavir

Formulation of a drug-phospholipid complex (Naturosome) to enhance the aqueous solubility of standardized extract of Centella asiastica (SCE)

Purpose: To evaluate the enhancement of aqueous solubility of standardized extract of Centella asiastica, a natural drug with known anti- Alzheimer’s activity, by formulating its complex (Naturosome) with a phospholipid - Phospholipon® 90H

The Study of the Influence of Formulation and Process Variables on the properties of Simvastatin-Phospholipid Complex

Objectives: The aim of the present study was to examine the influence of the formulation and process variables on the entrapment efficiency of simvastatin-phospholipid complex (SPC), prepared with a goal of improving the solubility and permeability of simvastatin. Method: The SPC was prepared using a solvent evaporation method. The influence of formulation and process variables on simvastatin entrapment was assessed using a central composite design. An additional SPC was prepared using the optimized variables from the developed quadratic model. This formulation was characterized for its physical-chemical properties. The functional attributes of the optimized SPC formulation were analyzed by apparent aqueous solubility analysis, in-vitro dissolution studies, dissolution efficiency analysis, and ex-vivo permeability studies. Results: The factors studied were found to significantly influence on the entrapment efficiency. The developed model was validated using the optimized levels of formulation and process variables. The physical-chemical characterization confirmed a formation of the complex. The optimized SPC demonstrated over 25-fold higher aqueous solubility of simvastatin, compared to that of pure simvastatin. The optimized SPC exhibited a significantly higher rate and extent of simvastatin dissolution (\u3e98%), compared to that of pure simvastatin (∼16%). The calculated dissolution efficiency was also found to be significantly higher for the SPC (∼54 %), compared to that of pure simvastatin (∼8%). Finally, the optimized SPC exhibited a significantly higher simvastatin permeability (\u3e78%), compared to that of pure simvastatin (∼11%). Implications: The present study shows that simvastatin-phospholipid complex can be a promising strategy for improving the delivery of simvastatin, and similar drugs with low aqueous solubility

The enhancement of the aqueous solubility of ritonavir via formulation of a drug-phospholipid complex

Objective: To evaluate the enhancement of aqueous solubility of a poorly water soluble drug ritonavir by forming its complex with a phospholipid (Phospholipon®90H)