Volume 11 | Issue 5 |

 Abstract

Abstract Winter sports are the sports that are played in higher altitude regions. Winter sports have a history of about more than 100 years. The first Winter Olympic Games took place in 1924 in France, since then European countries are dominating the game whether it is about achieving medals or hosting the events. India's first participation in the Winter Olympics was in the year 1964, since then India has participated in 11 Winter Olympic Games but is still searching for their first medal in the Games, whereas India has achieved medals in the Asian championships several times. Khelo India winter games is a new chapter in the field of winter sports in India which is helping in the promotion of the winter sports. The Winter Olympic Games have been hosted only on three continents by thirteen countries since 1924, in which none of the cities from the southern Hemisphere have ever hosted the Olympic Games. In the 2022 Winter Olympic Games 91 countries participated which is very less from 206 of the Summer Olympics. Europe has its dominance in the Winter Olympic Games medal tally as 7 of the top 10 countries in medal tally of 2022 Winter Olympics are from Europe.

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 Keywords

Winter Olympics, khelo India Winter Olympics, Indian Army at Winter Sports

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 Abstract

This study has been undertaken to study the Security for Digital Healthcare system. It is important for all health organizations and impersonals. Highly Digitalized Medical Devices and Healthcare apps are significant to patient care, but there is a probability of disruption of valuable data targeted by hackers, so there is need to implement cyber security awareness among medical practitioners and patients. Cyber security in the digital healthcare systems pertain to different types of threats against Innovative Medical devices. One of the aim of this study to identify threats and vulnerabilities and provide cyber security solutions to safeguard health information from hackers.

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 Keywords

Information technology Cyber-attacks, Cyber security, Health care, Key management

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The aim of the present study was to understand the impact of Domestic interpersonal Conflict on the self-efficacy and psychological well-being amongst college going students. The total sample taken for the research was 100, including both males and females falling between the age range of 15 years to 24 years. The tools used to assess the impact were Children's perception of interpersonal conflict scale (CPIC), General Self- efficacy scale and Ryff's Psychological Well-Being Scale. To understand the relationship Pearson moment correlation was used and to analyze its impact on each other, simple linear regression was applied. The findings also showed that there was a significant gender difference for both self-efficacy and psychological well-being. As for the correlation between Domestic Interpersonal Conflict and self-efficacy, it was none whereas for Domestic Interpersonal Conflict and psychological well-being the correlation turned out to be significant. The results of the simple linear regression explained that the level of Domestic Interpersonal Conflict was able to predict and affect the self -efficacy, but not to a very great extent as it was 1.58% and also the effect on psychological well-being was average that is 12.8%. This indicates that to some extent the level of conflict in a family does affect the psychological well-being of the college going students and not the self-efficacy to a greater extent.

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 Keywords

Key Words: Domestic Conflict, Self-Efficacy, Psychological well-being, Children perception, Developmental Delay, Behavioral issues, Family Counseling, Child Counseling, Behavioral therapy process

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 Abstract

VOCAL FATIGUE IS VERY COMMON AMONG PROFESSIONAL VOICE USERS LIKE, ACTORS, SINGERS, AND TEACHERS, THEIR WORK REQUIRES PROLONGED AND EFFECTIVE USE OF VOICE. NURSES ARE CLASSIFIED AS GRADE III PROFESSIONAL VOICE USERS. WHILE MANY PROFESSIONS ARE SUSCEPTIBLE TO CONCERNS WITH VOCAL HEALTH, THE MAJORITY OF RECENT RESEARCH HAS BEEN ON TEACHERS AND SINGERS. LITTLE ATTENTION HAS BEEN PAID TO THE OCCURRENCE OF VOICE RELATED ISSUES IN NURSES. THIS RESEARCH AIM TO STUDY WHETHER NURSES WORKING IN TERTIARY CARE HOSPITAL EXPERIENCE VOCAL FATIGUE AND TO IDENTIFY POTENTIAL RISK FACTORS LEADING TO VOCAL FATIGUE MANIFESTING IN VOICE DISORDER IF NOT ATTENDED TO ON TIME. A TOTAL OF 55 NURSES RECRUITED IN THE STUDY INCLUDING NURSING STUDENTS TO SISTER-IN CHARGE WORKING IN ALL 3 SHIFTS FROM AGE RANGE OF 18 TO 45 YRS. OUT OF 55 NURSES, 9.25% REPORTED SCORES OF >= 24 INDICATING WORSE VOCAL FATIGUE, WHICH IS RELATED TO FACTOR 1 I.E. TIREDNESS RELATED TO VOICE AND VOICE AVOIDANCE. ON FACTOR 2, 31.48% NURSES REPORTED SCORES OF >=7 INDICATING WORSE VOCAL FATIGUE, WHICH INDICATES PHYSICAL DISCOMFORT ASSOCIATED WITH VOICING. FOR FACTOR 3, ABOUT 66.66% NURSES REPORTED SCORES OF <=7 THAT INDICATES NO IMPROVEMENT IN VOCAL FATIGUE WITH REST. SIMILAR FINDINGS HAVE BEEN REPORTED IN NURSES WORKING IN MANGALORE, WHERE THEY REPORTED 33.12% NO VOCAL FATIGUE AND REST 66.88% REPORTED VOCAL FATIGUE IN SOME FORM.

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IDENTIFICATION OF VOCAL FATIGUE IN NURSES WORKING IN TERTIARY CARE HOSPITAL

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 Abstract

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MTCNN, ResNet-50, Recall, Precision, F1-score

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The internet and mobile technology have developed quickly and made it possible for us to freely access various music resources. While the music industry might lean more toward certain genres of music. Our current playlists in the music listening apps are static and user explicitly have to change it based on their likings. Music recommendation systems have become a crucial part of the music listening experience. However, most traditional recommendation systems rely on user behavior data or metadata, which fail to capture the emotional content of music. As music has a strong emotional impact on listeners, personalized music recommendation systems that take into account the emotional state of users are highly desired. For this purpose there were two independent models and existing systems, one for detecting the mood from the facial expression that is FER(Facial Emotion Recognition) and another was Music Classification Models which were used to recommend a song. We are attempting to combine these two systems to make efficient and accurate recommendation to the user. So in this project, we are going to develop a system which will capture the real time emotion of user by conversating with user or by other means and based on that emotion related songs will be recommended. We are going to categorize songs into the groups based on the categories like Happy, Sad, Energetic and calm. Then according to the captured emotion from the user, the songs related to that emotion will be recommended. Key factor of the song recommendation is classification of songs based on their acoustic features. In this way, user can listen the songs according to the mood.

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 Keywords

Recommendation System, Facial Emotion Recognition, Interactive UI, Mood based music classifier.

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 Abstract

Anticoagulants are the medicines that prevents blood clots. Anticoagulants are used for prevention and treatment of arterial and venous thromboembolism .This class of medicaments slows down the blood clot by preventing the formation of thrombus. Warfarin is most widely used traditional anticoagulant. Warfarin includes continuous monitoring routine , food and drug interaction , long on set of time and shows high incidence of bleeding . Hence to overcome these problems new Direct Oral Anticoagulants or DOAC's were developed. This also helps in stroke prevention. Rivaroxaban and Apixaban are used for propylaxis of thrombus due to hip and knee surgery. The new anticoagulants provides better compliance to patient. The article aims to better information on anticoagulant drugs and equipped with pharmacology, advantages, challenges and adverse effects.

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anticoagulants, factor Xa , Rivaroxaban, Direct oral anticoagulants , warfarin

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 Abstract

technology field has made a lot about progress recently, & it keeps becoming better. We could only perform specific jobs in beginning because there were only computer systems available, but new technologies have since been created, including machine learning, artificial intelligence, deep learning, & others. In recent years, artificial intelligence (AI) has advanced significantly, & its capabilities are constantly growing. Natural language processing (NLP) is an area where artificial intelligence is used. Natural language processing (NLP) enables users to converse in their native tongue with voice assistants & other computer systems. To address challenges people face while interacting with machines, a variety about voice assistants have been created & are continuously being enhanced for better performance. Various modules, including OS, Pysttx3, speech recognition, date/time, Wikipedia, smtplib, & many others, will be used. Python is being used to create a voice assistant that enables users to complete a variety about tasks without using keyboard. This article's goal is to study intelligent behaviour about voice assistants & how they might be applied to daily tasks, learning, & other objectives.

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voice assistant, windows voice assistant, python voice assistant

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 Abstract

The system designed here is very useful for gardens, plantations where huge trees exist. In such places availability of solar energy may be difficult due to the shadow of trees, therefore solar lamp posts may not function properly. To overcome this problem, here in this project work, movable solar lamp post is designed, which moves towards sunlight. The main advantage of using this kind of technology is that the lamp post along with its accessories can be moved to a particular place where solar energy is available, this is essential in day time for charging the battery. The other advantage is that the panel can be positioned towards the Suns direction, there by maximum power can be utilized from the panel. The third & important feature is that the lamp post can be brought to a specific place where light is required in the nights. To perform all these activities, the system designed can be used. To prove the theme practically, a prototype module is constructed with lower rating electrical devices, which can be used for real applications. The lamp post arranged over a wooden chassis moves in singular direction freely. The chassis is equipped with 3 wheels and a DC motor connected to the front wheel. This DC motor drives the chassis. The solar lamp post contained with Solar panel, huge battery, lamp dome with high glow LED's, logic circuit, charging circuit, etc. is designed as totally automatic. The light will be activated automatically during the dark, & it will be switched off automatically in the morning. To achieve this, panel potential is monitored continuously. The battery is charged at constant voltage so that it is protected from over charging. Similarly, the battery voltage is also monitored & protected from deep discharging. When the battery voltage falls down by 9V, immediately load will be disconnected. The control circuit is designed with Atmel AT89C51.

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Solar Lamp, Microcontroller (AT89C51), Light Emitting Diode (LED), DC Motor

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 Abstract

To be able to increase the effectiveness of logistics operations and guarantee the security of people and assets, the paper suggests an Internet of Things (IoT)-based Logistic Tracking, Goods Theft, and Fire Safety System. The system monitors the logistics process and looks for fire hazards and probable theft of items using a network of sensors and smart algorithms. The car tracking system has the ability to locate the vehicle, detect gas leaks, spot fires, and report vehicle accidents while simultaneously sending an SMS alert message to the owners of the vehicle over a GSM network. This system can be built as a backup compartment inside the vehicles to deter theft, make it simple to locate them, and guard against other disaster-related problems. The device's primary methodology is using the Internet of Things to track the movements of vehicles, detect fires, and respond quickly with a goods theft detection system

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 Keywords

Iot , vehicle maintenance, tracking,theft detection,fire safety system

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