Dead Bodies Do Tell Tales - Corpus Delicti - A Case Report

Background:The case report highlights the importance of doing a thorough searching autopsy in all cases, and particularly in cases of homicide, as objects of valuable evidential importance can be found within the body, which form part of the “Corpus Delicti”, providing clinching evidence towards guilt of the accused person and thereby ensuring conviction of the guilty.Case Report: This case report describes the case of a person who was stabbed and the terminal portion of the knife broke and got lodged in his spine. At autopsy, the broken tip was recovered and showed to fit perfectly with the main part of the knife which was recovered by the Police from the scene of the crime, proving that the recovered weapon was indeed the weapon of offence. Further, the blood group of the blood stains over the knife recovered at the scene of crime and that of the victim matched.Conclusion: A match between a broken tip of a knife recovered from the body of stab victim and the main part of the knife recovered from the scene of crime is almost equal to a ballistics match in significance, with regard to establishing whether a given knife was the particular weapon of offence in a certain crime or not.  Hence, in cases where such a knife with a broken blade is found and suspected to be the weapon of offence, a careful search at autopsy should be made to locate the broken tip

Effect of Trataka (A Yogic Cleansing Technique) on Post-Covid Cognitive Impairments in Elders

Background: People who have survived COVID-19 frequently complain of cognitive dysfunction, which has been described as brain fog. Early reports describing a dysexecutive syndrome after COVID-19 and has considerable implications for occupational, psychological, and functional outcomes. It is well known that elders may be particularly susceptible to cognitive impairment after critical illness. Trāṭaka (a yogīc cleansing technique) is one of the Yogā practices which is considered to improve cognitive functions. The objective of this study was to determine whether Trāṭaka practice enhances the cognitive functions of the post covid elderly subjects. Material and Methods: Thirty elders who had enrolled in a thirty days Trāṭaka practice program. Their age ranged between 60 and 80 years (group average ±S.D., 68.5±6.3 years). Those who have any chronic illness and mental illness, and those who are not willing to participate were excluded. Trāṭaka intervention is given for 30 days, 1hour/day. At baseline and following thirty days, all participants completed DLST and SLCT. Results: Trāṭaka intervention showed significant change in DLST scores, increase (P-value< 0.000) in total attempted score, significant increase (P-value<0.000) in net score, significant reduction in wrongly attempted score (P-value<0.000). Significant change in SLCT scores, significant increase (P-value<0.000) in total attempted score, Similarly, significant increase (P-value<.000) in net score, significant reduction in wrongly attempted score (P-value<0.000). Conclusion: The thirty days Trāṭaka intervention was successful in enhancing the cognitive functions among post-covid elders

Enhancement of Privacy and User Interaction in a Social Network with the Aid of Adaptive Intelligence

Focusing on enhanced user-interaction avoiding a simple like button by adding a post-interaction rate feature that technically creates an extra dimension into liking a post. User is able to save pictures to the cloud. Saving memory effectively and creating on-time content. The main purpose is to enhance Privacy and creating an advanced user interface/interaction allowing a fair share of reaction to a post. When a user posts a picture, the following user interacts with the picture after tapping the PIB (Post Interaction Button). The picture will be evaluated as long as the user has the post in view. Also allow no duplication to the post shared by the user. When a user posts a p icture it shouldn’t be devalued. Our app ensures that the post will be rated according to the user interaction. Able to publish posts on other social medias, making it uni-directional. Introducing this unique social networking mobile-based application where a user can share photos, videos and texts with extreme privacy, uploading them even by making them anonymous to the group. Assuring a reliable place to take and share and save posts from anywhere around the world

Implementation of Digital Basket to Ease the Waiting Time during Customer Check-Out

Billing/Checkout process at shopping mall is time-consuming as each item has to be scanned for its name and price and for other information. This wastes a lot of time of customers and they feel distressed too. The need to reduce the waiting time the customers spend in queue is of very importance. We have designed a basket which will automatically scan the product information like the name, price etc. once the product is kept in it and will calculate the final price instantly. The customer can choose to pay directly from basket and amount will be deducted from the customer’s online wallet. This will save a lot of time of customers as well as the billers

Phosalone-Induced Changes in Regional Cholinesterase Activities in Rat Brain during Behavioral Tolerance

Organophosphate pesticides exert their toxic effects by cholinesteraseinhibition and the consequent prolongation of the undesirable effects ofaccumulation of acetylcholine. The signs of toxicity include tremors,convulsions, lachrymation, defecation etc. However, sustained cholinesterase inhibition through sustained administration of organophosphates would lead to the gradual disappearance of the initial signs of toxicity over time, termed behavioral tolerance. The present study was undertaken to examine the activity levels of cholinesterases in different regions of rat brain during the development of behavioral tolerance to the organophosphate phosalone. Male albino rats were given a daily oral dose of phosalone (41.35 mg, equivalent to ¼ of LD50) every day for 15 days and the activities of acetylcholinesterase (AChE) butyrylcholinesterase (BuChE) and pseudocholinesterase (PChE) were estimated at intervals at 1, 3, 9 and 15 days of treatment. All the cholinesterases were inhibited, and this inhibition was found to vary among different brain regions at different times. Greater inhibition of AChE and BuChE activities was observed at 9 days, while for PChE it was recorded at 3 days. Recovery trend to normalcy was observed earlier in PChE compared to AChE and BuChE. The signs and symptoms of pesticide toxicity were mainly cholinergic. Inhibition of cholinesterases was well correlated with the appearance and severity of signs and symptoms. Tremors and convulsions in particular were more after 9 days. After 9 days, decline followed by disappearance of majority of the signs and symptoms wasnoticed while reduction in cholinesterase activities still continued, indicatingthe development of behavioral tolerance to phosalone. Among the brainregions, striatum recorded a greater decrease in cholinesterase activity.Earlier recovery of pseudocholinesterase activity seems to be an interestingphenomenon in regulating homeostasis of cholinesterases and in thedevelopment of symptomatic tolerance of phosalone.Key words: Phosalone, Cholinesterases, Rat brain, Behavioraltolerance

Optimization and Characterization of Thermostable Endo and Exocellulases by Humicola sp. SKESMBKU03

Humicola sp. SKESMBKU03, a cellulase producer was isolated from horse dung manure collected from Hyderabad, Telangana. In the present study, endo and exoglucanase production from Humicola sp. SKESMBKU03 was studied and optimization of the cultural conditions to enhance production of enzymes has been reported. Among the twenty fungal cellulase producers isolated from different thermogenic habitats, the fungal strain ‘HD3’ identified as Humicola sp. SKESMBKU03 exhibited highest cellulase activity by plate screening assay. To enhance the production level of the enzyme, different cultural conditions were optimized and observed that optimum pH and temperature for endo and exoglucanase production was 5.0 and 45oC respectively. Maximum growth as well as enzyme production was recorded on 3rd day of incubation period in shake flask (100RPM) containing Mandel’s Weber medium. Urea and malt extract among the organic nitrogen sources while ammonium chloride as inorganic nitrogen source were found to be the best nitrogen source (0.2%) for endo and exoglucanase production. The endo and exoglucanase activities are higher in media containing glucose as their carbon source (1%) followed by xylose and lactose. The organism showed maximum dry weight in pH of 9.0-10.0, temperature of 45oC, cellulose as carbon sources, yeast extract and malt extract of nitrogen source. The endo and exocellulases produced by the Humicola sp. SKESMBKU03 are highly stable at pH 8.0 and temperature of 750C. The results indicate that the endo and exocellulases produced by Humicola sp. SKESMBKU03 are more stable at high temperature and alkaline pH

Determination of Spot Price and Optimal Power Flow in Deregulated Power System

In this paper, determinations of spot price with optimal power flow and important factors that may affect generating companies' profit margins through wholesale electricity trading are discussed. These factors include spot price, generators' efficiencies and capabilities, types of generators owned, fuel costs, transmission losses and settling price variation. It demonstrates how proper analysis of these factors using the solutions of Optimal Power Flow (OPF), can allow companies to maximize overall revenue. And through this OPF analysis, companies will be able to determine, for example, which generators are most economical to run, best locations for generators to be situated at, and also the scheduling of generators as demand changes throughout the day. It illustrates how solutions of OPF can be used to maximize companies' revenue under different scenarios. In this paper above tasks are demonstrated on 124-bus Indian utility real-life system and results have been presented and analyzed. All simulations are performed by using Power World Simulator software. Keywords: OPF, Electricity Market, Spot Pric

Yoga therapy for Metabolic Syndrome - A Review

Metabolic syndrome is a collection of risk factors that increase the chance of developing heart disease, stroke, and diabetes. Lifestyle changes like losing weight, exercise, and dietary changes can help prevent or reverse metabolic syndrome. Metabolic syndrome is now considered as a serious public health problem. It is estimated that 20 - 25% of the world adult population is suffering from this disorder. Yet most recommendations currently focus on diet and exercise and do not consider stress reduction strategies. Yoga is a effective tool for stress management, that may reduce blood pressure (BP) increase parasympathetic activation. In this review, we examined the basic principles of Pancha Kosha (five sheaths of human existence) concept from an Indian scripture Taittiriya Upanishad and the pathophysiology of a disease from the Yogic approach of Yoga Vasistha’s Adhi (originated from mind) and Vyadhi (ailment/disease) concept and focused on Yoga and HPA axis. Based on these concepts, a Yoga module is recommended as a remedial therapy to manage Metabolic Syndrome

Development and validation of a Yoga module for Primary dysmenorrhoea

Menstrual pain without organic pathology is considered to be primary dysmenorrhoea. Dysmenorrhoea refers to the occurrence of painful menstrual cramps of uterine origin. It is a common gynaecological condition with considerable morbidity affecting majority of the adolescent girls, yet which is under diagnosed and under treated. Yoga can be considered as a simple and safe management tool for Primary Dysmenorrhoea. Studies have reported the beneficial role of Yoga in alleviating the symptoms of Primary dysmenorrhoea; however, a validated Yoga module for Primary dysmenorrhoea is unavailable. This study developed and validated an integrated Yoga module (IYM) for Primary dysmenorrhoea. Methods: The IYM was prepared after a thorough review of classical Yoga texts and previous findings. Twenty experienced Yoga experts, who fulfilled the inclusion criteria, were selected validating the content of the IYM. A total of 38 practices were included in the IYM, and each practice was discussed and rated as (i) not essential, (ii) useful but not essential, and (iii) essential; the content validity ratio (CVR) was calculated using Lawshe’s formula. Results: Data analysis revealed that of the 38 IYM practices, 18 exhibited significant content validity (cut-off value: 0.42, as calculated by applying Lawshe’s formula for the CVR). Conclusion: The IYM is valid for Primary dysmenorrhoea, with good content validity. However, future studies must determine the feasibility and efficacy of the developed module

Identification of DNA-binding proteins using support vector machines and evolutionary profiles

<p>Abstract</p> <p>Background</p> <p>Identification of DNA-binding proteins is one of the major challenges in the field of genome annotation, as these proteins play a crucial role in gene-regulation. In this paper, we developed various SVM modules for predicting DNA-binding domains and proteins. All models were trained and tested on multiple datasets of non-redundant proteins.</p> <p>Results</p> <p>SVM models have been developed on DNAaset, which consists of 1153 DNA-binding and equal number of non DNA-binding proteins, and achieved the maximum accuracy of 72.42% and 71.59% using amino acid and dipeptide compositions, respectively. The performance of SVM model improved from 72.42% to 74.22%, when evolutionary information in form of PSSM profiles was used as input instead of amino acid composition. In addition, SVM models have been developed on DNAset, which consists of 146 DNA-binding and 250 non-binding chains/domains, and achieved the maximum accuracy of 79.80% and 86.62% using amino acid composition and PSSM profiles. The SVM models developed in this study perform better than existing methods on a blind dataset.</p> <p>Conclusion</p> <p>A highly accurate method has been developed for predicting DNA-binding proteins using SVM and PSSM profiles. This is the first study in which evolutionary information in form of PSSM profiles has been used successfully for predicting DNA-binding proteins. A web-server DNAbinder has been developed for identifying DNA-binding proteins and domains from query amino acid sequences <url>http://www.imtech.res.in/raghava/dnabinder/</url>.</p