Active learning Strategies/Pedagogy

This research explores the practices like teaching style, attainment and assessment which covers the various aspects of teaching methods, and there are many Strategies to pedagogy. The study of different teaching methods, phenomena is termed as pedagogy. The skills such as application of knowledge, analysis and synthesis helps to promote higher order thinking. This study aims to the current pedagogical practices that enhancing students’ intellectual quality with regard to obtain insightful information. Actively involving of Learners in learning process, Constructivist, collaborative, inquired-based, integrative, and reflective. In active learning process, learners are involved actively in the process of different levels like read, write, discuss and be engaged in solving problems. One of the learning method is to provide the topic to learners and to make question answering sessions. The different Practices help the learner to increase the grasping power and boast up the knowledge

A Recommender System for Healthy Food Choices: Building a Hybrid Model for Recipe Recommendations using Big Data Sets

Advances in Big Data analytics and machine learning have offered intangible benefits across many areas of one’s health. One such area is a move towards healthier lifestyle choices such as one’s diet. Recommender systems apply techniques that can filter information and narrow that information down based on user preferences or user needs and help users choose what information is relevant. Commonly adopted across e-commerce sites, social networking and entertainment industries, recommender systems can also support nutrition-based health management, offering individuals more food options, not only based on one’s preferred tastes but also on one’s dietary needs and restrictions. This research presents the design, implementation and evaluation of three recommender systems using content-based, collaborative filtering and hybrid recommendation models within the nutrition domain

Two Level Security for Cloud Storage with Data Deduplication

Cloud computing provides number of services to client over internet. Storage service is one of the important services that people used now days for storing data on network so that they can access their data from anywhere and anytime. With the benefit of storage service there is an issue of security. To overcome security problem the proposed system contain two levels of securities and to reduce the unwanted storage space de-duplication technique is involved. To increase the level of security one technique is a session password. Session passwords can be used only once and every time a new password is generated. To protect the confidentiality of sensitive data while supporting de-duplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. Symmetric key algorithm uses same key for both encryption and decryption. In this paper, I will focus on session based authentication for login, encryption for files and duplication check for reduce space of storage on cloud. DOI: 10.17762/ijritcc2321-8169.150612

Effect of Starvation on the Biochemical Composition of Freshwater Fish Channa punctatus

The present study was carried out to study the changes in Biochemical constituents in different tissues of freshwater fish, Channa punctatus studied during starvation. The experiment involved 30 individuals of Channa punctatus (species) caught from Godavari river water. At the end of the experimental period, the tissues for biochemical analysis are collected separately from control and starved fishes. Starving resulted in body weight reduction and decrease in biochemical content in fish

Adverse blood transfusion reactions at tertiary care hospital

Background: The goal of hemovigilance is to increase the safety and quality of blood transfusion. It is necessary to recognize and prompt response to adverse transfusion reactions, which will help in taking appropriate steps to reduce their incidence and make blood transfusion process as safe as possible. The aim of the study was to determine the frequency and type of transfusion reactions (TRs) occurring in patients, reported to the blood bank at our institute.Methods: A retrospective review of all TRs reported to the blood bank Krishna Hospital, between January 2011 and July 2013 was done. All the TRs were evaluated in the blood bank and classified using standard definitions.Results: During the study period a total 13126 units of blood and components were issued by our blood bank and total of 45 (0.3%) adverse reactions were reported to blood bank. The most common reaction observed was allergic reaction 25(55.6%) followed by FNHTR 15 (33.3%).Conclusions: Not a single case of anaphylactic reactions, TRALI, acute immune hemolytic transfusion reaction, and Sepsis was observed. This can be an underestimation of the true incidence because of under reporting which can be improved by proper hemovigilence system to provide better patient care.

Critical Appraisal on Sandhaniya Mahakashaya Dravya W.S.R. to its classical description in Charak Samhita

The Charaka Samhita, a renowned treatise in the field of traditional medicine, possesses a substantial wealth of knowledge. The 4th chapter of Sutra Sthana in Charaka Samhita, titled "Shad Virechana Shatashriteeya," provides a detailed exposition by Acharya on the subject of 50 Mahakashaya or Dashemani. These groups consist of ten plants each, demonstrating a shared pharmacological activity. One such group is the Sandhaniya Mahakashaya, commonly referred to as the Unifying medicine. The constituents of the formulation include Madhuyashthi, Guduchi, Prishniparni, Patha, Lajjalu, Mocharasa, Dhataki, Lodhra, Priyangu, and Katphala. It is widely acknowledged that certain plants possess the ability to naturally heal wounds. Hence, this conventional medical approach facilitates the identification of herbal remedies that are particularly suitable for promoting the regeneration and growth of impaired bodily tissues. This article provides an explanation of the therapeutic properties of the medications included in the Sandhaniya Mahakashaya, highlighting their efficacy in managing a range of diseases and ailments

Application of High-Intensity Ultrasound to Improve Food Processing Efficiency: A Review

The use of non-thermal processing technologies has grown in response to an ever-increasing demand for high-quality, convenient meals with natural taste and flavour that are free of chemical additions and preservatives. Food processing plays a crucial role in addressing food security issues by reducing loss and controlling spoilage. Among the several non-thermal processing methods, ultrasound technology has shown to be very beneficial. Ultrasound processing, whether used alone or in combination with other methods, improves food quality significantly and is thus considered beneficial. Cutting, freezing, drying, homogenization, foaming and defoaming, filtration, emulsification, and extraction are just a few of the applications for ultrasound in the food business. Ultrasounds can be used to destroy germs and inactivate enzymes without affecting the quality of the food. As a result, ultrasonography is being hailed as a game-changing processing technique for reducing organoleptic and nutritional waste. This review intends to investigate the underlying principles of ultrasonic generation and to improve understanding of their applications in food processing to make ultrasonic generation a safe, viable, and innovative food processing technology, as well as investigate the technology’s benefits and downsides. The breadth of ultrasound’s application in the industry has also been examined. This will also help researchers and the food sector develop more efficient strategies for frequency-controlled power ultrasound in food processing applications

Fraud Voters Detection using Smart Electronic Voting Machine

The main aim of this project is to provide secured identification and authentication processes for the voters and candidates by using fingerprint and face detection. The basic idea of this project is to make an electronic voting machine that will help to reduce the manual voting systems and prior versions of electronic voting. This system includes multiple layers of verifications to ensure the reliability of the device. every voter is entered into the system after being diagnosed and checked with the given database of enlisted electorate with together with fingerprint sensor and Pi camera.The final vote is then displayed onto a monitoring system for the satisfaction of voters. The voting problem is still critical in terms of safety and security. This project is about the design and improvement of a machine the use of fingerprint and face detection to offer a high performance with excessive safety to the vote casting gadget. Fingerprint is broadly used for identification. The proposed undertaking displays transparency and also carries the function of being self sustaining during the route of operation. Election is the act of party casting votes to choose on man or woman for some type of function. Election may additionally involve a public or private vote relying on the position. maximum of the positions like local, state, and federal governments are balloting on in a few form of election. An electronic voting system defines valid voting and gives a fast method of counting votes, which helps to conclude a final result. In this project, we propose an idea to avoid fraud voting and increases security about the voting. Lot of methods have been developed to avoid fraudulence in voting systems, but we are not able to reduce it completely. This system is secure, transparent, reliable as well as easy to use for the citizens. We scan the finger print and face of every individual. The scanned finger print is authenticated, If matches the individual is allowed to cast the vote

Validating a GPS-based approach to detect health facility visits against maternal response to prompted recall survey

INTRODUCTION: Common approaches to measure health behaviors rely on participant responses and are subject to bias. Technology-based alternatives, particularly using GPS, address these biases while opening new channels for research. This study describes the development and implementation of a GPS-based approach to detect health facility visits in rural Pune district, India. METHODS: Participants were mothers of under-five year old children within the Vadu Demographic Surveillance area. Participants received GPS-enabled smartphones pre-installed with a location-aware application to continuously record and transmit participant location data to a central server. Data were analyzed to identify health facility visits according to a parameter-based approach, optimal thresholds of which were calibrated through a simulation exercise. Lists of GPS-detected health facility visits were generated at each of six follow-up home visits and reviewed with participants through prompted recall survey, confirming visits which were correctly identified. Detected visits were analyzed using logistic regression to explore factors associated with the identification of false positive GPS-detected visits. RESULTS: We enrolled 200 participants and completed 1098 follow-up visits over the six-month study period. Prompted recall surveys were completed for 694 follow-up visits with one or more GPS-detected health facility visits. While the approach performed well during calibration (positive predictive value (PPV) 78%), performance was poor when applied to participant data. Only 440 of 22 251 detected visits were confirmed (PPV 2%). False positives increased as participants spent more time in areas of high health facility density (odds ratio (OR) = 2.29, 95% confidence interval (CI) = 1.62-3.25). Visits detected at facilities other than hospitals and clinics were also more likely to be false positives (OR = 2.78, 95% CI = 1.65-4.67) as were visits detected to facilities nearby participant homes, with the likelihood decreasing as distance increased (OR = 0.89, 95% CI = 0.82-0.97). Visit duration was not associated with confirmation status. CONCLUSIONS: The optimal parameter combination for health facility visits simulated by field workers substantially overestimated health visits from participant GPS data. This study provides useful insights into the challenges in detecting health facility visits where providers are numerous, highly clustered within urban centers and located near residential areas of the population which they serve

RELATIONSHIP BETWEEN ANTHROPOMETRIC PARAMETERS AND INTELLIGENCE IN PRESCHOOL CHILDREN FROM RURAL KONKAN

Aim: To study association between anthropometric parameters and intelligence in preschool children from Rural KONKAN.Method: Children between 3 to7 years of age were examined for anthropometry, dietary recall and Intelligence (Intelligent Quotient-IQ) assessment from rural anganwadis. IQ test was performed by clinical psychologist using Binet-Kamat test of intelligence (version 4). Nutritional information was collected from 24- hour dietary recall and food diversity. Results: Results were interpreted using Prorated IQ We studied 159 (82 boys, 78 girls) out of which 15 (9.6%) had higher IQ. 25 (15.8%) were born LBW. Anthropometry classification showed that 61 (38.4%) were stunted and 25(15.7%) were wasted. According to IOTF, 72 (46%) were thin, 83(52%) were normal and 3 (2%) were overweight. we found that there is no significant difference in IQ with respect to anthropometric parameters, birth weight and nutritional status. Conclusion: We could not find any association of anthropometric parameters with IQ inspite of high prevalence of malnutrition. Brain is vital organ which can be protected by redistribution of blood flow at the cost of other organs like liver and abdominal viscera, which are the markers for future risk of diabetes. There is need to improve nutritional status. New update of IQ test is much needed as the current test is more than 50 years old and does not take into account the social, cultural transition over last 2 decades. &nbsp