Volume 13 | Issue 5 |

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In the digital age, the dynamics of talent acquisition have significantly evolved, with social media emerging as a powerful tool for recruitment. This study investigates the effectiveness of various social media platforms--such as LinkedIn, Facebook, Instagram, and Twitter--in the talent acquisition strategies of modern organizations. The research explores how employers leverage these platforms to reach potential candidates, enhance employer branding, and streamline the hiring process. By combining primary data from HR professionals and job seekers with secondary data from industry reports, the study provides insights into the practical benefits and challenges of using social media for recruitment.

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A STUDY ON EFFECTIVENESS OF THE SOCIAL MEDIA MODERN TALENT ACQUISITION

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BACKGROUND: A nutritional problem occurs when the body doesn't absorb or get from food the necessary amount of a nutrient. Nutritional problem refers to deficiencies or excesses in nutrient intake, imbalance of essential nutrients or impaired nutrient utilization. Adolescents are exposed to under nutrition, micronutrient malnutrition, anaemia as well as obesity. According to WHO, period of life between 10 and 19 years is adolescents and it is a critical period of growth and development, so good nutrition is essential. NEED OF THE STUDY: According to UNICEF 2021 data , nearly 1 in 5 adolescence globally(13-18years) are overweight and the prevalence of anemia among adolescence is 27% in developing countries and 6% in developed countries. WHO estimates that 40% of children 6-59 months of age, 37% of pregnant women, and 30% of women 15-49 years of age worldwide are anaemic. According to National Institute of health, the highest percentage of anemia was observed in the 12-14 years age group in girls (54.2%) and 15-18 year-old boys (54.2%). Also, 4.4% of boys and 4.9% of girls were found to be obese, whereas 8.4% boys and 9.2% girls were overweight. OBJECTIVES OF THE STUDY 1.To assess pre test and post test Knowledge regarding Nutritional problems and its contributing factors among adolescents in selected schools of Kamrup (M) , Assam. 2.To evaluate effectiveness of Structured Teaching Programme on Knowledge regarding Nutritional Problems and its Contributing Factors among adolescents in selected schools of Kamrup (M) ,Assam. 3.To find out the association between pre test Knowledge regarding Nutritional Problems and its Contributing Factors with selected demographic variables. METHODS AND MATERIALS: A quantitative approach with quasi experimental one group pre test-post test design was used by non-probability convenient sampling technique for obtaining adequate sample of the study. The study was conducted at selected schools of Kamrup (M), Assam. By using non- probability convenient sampling technique 100 samples were collected on the basis of inclusion and exclusion criteria. A self structured questionnaire was used to collect data to assess the knowledge on nutritional problems and its contributing factors and data was analyzed using descriptive and inferential statistics. RESULTS: The result showed that out of 100 adolescents, majority i.e. 60 (60.0%) were in the age group of 13 - 14 years , 50 (50.0%) were male and 50 (50.0%) were female, 87 (87.0%) belongs to Hindu religion , 21(21.0%) in class XII, 51 (51.0%) lives in their own house , Fathers of 55 (55.0%) adolescent's are graduated, Mothers of 36 (36.0%) adolescent's are secondary educated , 75 (75.0%) belongs to nuclear family, Fathers of 54 (54.0%) adolescent's are self employed , Mothers of 49 (49.0%) adolescents are home maker , Total family income of 35(35.0%) adolescent's earns Rs 31,978-Rs 53,360, 70 (70.0%) have 1 - 2 siblings , 72 (72.0%) preferred fried food. On assessing the level of knowledge in the pre test. all the adolescents 100(100%) had moderate knowledge regarding Nutritional Problems and its Contributing Factors and after the intervention, 98(98%) had adequate knowledge and only 2(2%) had moderate knowledge.The mean difference score was 7.36 with mean difference percentage 33.45%. In asscociation, educational standard of the adolescents (?2=9.637, p=0.047) had shown statistically significant association with pre-test level of knowledge regarding nutritional problems and its contributing factors among the adolescents at p<0.05 level and the other demographic variables like age, gender, type of residence , educational qualification of father , educational qualification of mother, type of family, occupational status of father, occupational status of mother, total family income per month, number of siblings, type of food preferred most had not shown statistically significant association. CONCLUSION: From this study it was concluded that adolescents have gained adequate knowledge on Nutritional Problems and its Contributing Factors after administration of structured teaching programme which was found to be effective in enhancing the knowledge of adolescents.

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Knowledge, Nutritional Problem ,Contributing Factors, Adolescents, Effectiveness, Structured Teaching Programme.

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CryptoBot is a groundbreaking automated cryptocurrency trading system that answers the issues faced by traders in an environment where market dynamics change swiftly. Hence, CryptoBot employs a holistic approach of data gathering, preprocessing, predictive modelling, and real-time decision-making, thus it keeps analyzing real-time market data. The system then uses state of the art machine learning algorithms to make accurate predictions about price movements and determine when to enter and exit trades. This program also shows very promising results indicating a significant improvement in trading performance compared to traditional human-based strategies. CryptoBot therefore becomes an instrument of innovation for both experienced and non-experienced cryptocurrency investors. Thus, with its flexibility, precision, and smart automation users become more competitive reshaping how the investor interacts with the volatile but lucrative world of cryptocurrencies. As digital assets continue to reshape finance, CryptoBot stands at the forefront, exemplifying the future of intelligent trading.

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NA

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Creative Commons Attribution 4.0 and The Open Definition

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The Internet of Things (IoT) is a quick-growing network of interconnected physical objects with sensors, software, and communication interfaces to enable them to gather, disseminate, and exchange information. This paradigm has found widespread applications in areas like healthcare, smart cities, and industrial automation, bringing improvements in terms of efficiency, monitoring, and control processes. The IoT ecosystem is a complex network of interconnected components. These include physical devices like microcontrollers, sensors, actuators, as well as communication modules, cloud computing, big data analytics, and user interfaces. When these elements work together, they enable the smooth flow of data, driven automation and informed decision-making. Yet, the circulated and different character of IoT systems presents considerable security challenges. Devices tend to be plagued by poor security controls, including default passwords and poor encryption, which expose them to cyber-attacks. Security is worsened by increasing malware attacks, poor authentication protocols, and lack of network segmentation. To defeat or master these difficulties, technologies such as endpoint detection tools, multi-factor authentication, network classification, and the integration of AI and blockchain technologies are important for securing IoT infrastructures. As IoT grows, it is important to have multi-layered security frameworks in place to protect the privacy, integrity, and availability of connected devices and data. Additional research and best procedures will be essential to guarantee the stability and security of IoT systems.

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Internet of Things (IoT), IoT Ecosystem, Security Issues, Cyber Attacks, Device weaknesses, Network Classification, Multi-factor Authentication, Cloud Computing, AI, Blockchain.

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Vicharchika, clinically correlated with Eczema in modern dermatology, is a chronic skin disorder characterized by erythema, itching, oozing, and thickening of the skin. Ayurvedic literature describes Vicharchika as a type of Kushtha, primarily caused by the vitiation of Tridosha, with Kapha and Pitta doshas being predominant. Vicharchika is charactereized with symptoms namely Kandu, Srava, Pidika and Shyava varna. No satisfactory treatment is available in contemporary medical practice. Main line of treatment for Vicharchika in Ayurveda is Shodhan & Shaman with local application. In the present case study, male of age 40 years visited in Ayurveda OPD had complaint of severe itching and burning with pain in both feet with cuts and scaly lesions and occasional watery discharge since 3years. Patient complaint about the reoccurrence of the problem during change in season. He took various treatment but doesn't get satisfactory results so he decided to switch on Ayurvedic management. The patient was given, Arogyavardhani vati, Kaishor Guggulu, Panchtikta Ghrit with external local application with Chakramarda beej Churna and Marichyadi tail.

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Vicharchika, Kshudra kushtha, Shaman chikitsa.

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In today's interconnected world, deaf individuals often face significant communication barriers. This project presents a novel system designed to bridge these gaps by interpreting complex hand gestures into understandable communication. The core of the system utilizes five flex sensors to capture intricate joint movements, interfaced with an Arduino microcontroller for precise data acquisition. Strategic pin management techniques are employed to efficiently handle all sensor inputs. The system is engineered to recognize 32 distinct hand gestures, translating them into actionable information. This interpreted data is then displayed in real-time on a mobile application via Bluetooth connectivity. Crucially, an ISD voice recording module coupled with speakers produces corresponding spoken words for each recognized gesture, providing a multi-modal communication aid. This system offers a robust solution for sign language interpretation, with significant potential for applications in assistive technology, rehabilitation, and intuitive human-computer interaction.

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Flex Sensors, Gesture Recognition, Sign Language Interpretation, Arduino, Bluetooth Communication, Mobile Application, Voice Output, Assistive Technology, ISD Module.

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Are you a fan of Tamil cinema and its mesmerizing music? Indulge your senses in the distinct preferences of two musical geniuses. If you are a lover of gentle melodies that touch your soul, Yuvan Shankar Raja is your go-to artist. His compositions have a unique ability to transport you to a world of tranquility and nostalgia. Yuvan's magical tunes blend seamlessly with heartfelt lyrics, leaving you captivated by the emotions they evoke.On the other hand, if you crave powerful tracks that make your heart race, Anirudh Ravichandran is the maestro you need to embrace. Anirudh's music possesses an undeniable energy that pumps through your veins, infusing you with an adrenaline rush like no other. His rhythm-driven compositions, combined with infectious beats, ignite the fire within, making you move to the rhythm effortlessly

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Digitization of music, Listening habits, preferences, community engagements, balanced consumption

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Creative Commons Attribution 4.0 and The Open Definition

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In today's digital economy, recruitment strategies are evolving rapidly with the integration of social media platforms. This study investigates the growing reliance on social media by HR consultancy firms in India for attracting, engaging, and hiring candidates. Platforms such as LinkedIn, Instagram, WhatsApp, and Facebook are analyzed for their effectiveness in sourcing talent, reducing time-to-hire, and supporting employer branding. Data was collected from 20 HR professionals using surveys and interviews. Findings indicate that LinkedIn leads in professional hiring, while Instagram and WhatsApp are gaining traction for fresher and bulk roles. The study provides practical implications for optimizing recruitment practices and highlights challenges such as fake profiles and tracking inefficiencies. This paper contributes to ongoing discourse in digital HR and offers insights for recruiters adapting to a fast-changing hiring landscape.

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Social Media Recruitment, HR Consultants, LinkedIn, Employer Branding, Talent Acquisition, Digital HR, India

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Cloud computing has emerging as a promising pattern for data outsourcing and high-quality data services. However, the sensitive information on cloud potentially causes security problems. Encryption techniques protects data security to an extent, but at the cost of compromised efficiency. In this paper, we focus on secure updation of data in cloud. The privacy issue is formulated from the aspect of similarity relevance and scheme robustness. Leakage of data is eliminated through a two-round searchable encryption (TRSE) scheme .All the computing work is done on the server side by operations only on cipher text.

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Cloud, Encryption, Ranking, Vector space, Cryptography.

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Creative Commons Attribution 4.0 and The Open Definition

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KOH-CaO hybrid catalyst, biodiesel, transesterification, XRD, WCO, SEM, FTIR.

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Creative Commons Attribution 4.0 and The Open Definition