Effectiveness of Structured Teaching Programme on Knowledge Regarding Telemedicine among Nursing Students in Selected Nursing Colleges of District Mandi, H.P.
Good health is central to human happiness and well-being that contributes significantly to prosperity and wealth and even economic progress, as healthy populations are more productive, save more and live longer. Telemedicine is the exchange of medical information from one location to another using electronic communication, which improves patient health status. This study aimed to assess the effectiveness of structured teaching programme in improving the knowledge regarding telemedicine among nursing students. Objectives: To assess the level of knowledge regarding telemedicine among nursing students. To evaluate the effectiveness of structured teaching program on knowledge regarding telemedicine among nursing students. To find out the association between level of knowledge score regarding telemedicine among nursing students and their selected socio-demographic variables. Material and Method: Investigator adopted a quantitative research approach with the Quasi-experimental research design (non-randomized control trial design). The subject were 100 nursing students and the non-probability purposive sampling method was used for selection criteria. Data was collected using socio-demographic data profile and self-structured knowledge questionnaire regarding telemedicine. A structured teaching programme regarding telemedicine was implemented in the experimental group after the pre-test, followed by the post-test after seven days. Data were analyzed using descriptive and inferential statistics. Result: In experimental group the mean knowledge score increased significantly from 20.26 (SD= 4.818) to 25.90 (SD = 1.446). this shows that the result was highly significant (t = 8.067, p < 0.001), indicating the intervention was effective. Whereas in control group there was no significant change in the knowledge score (Pre: 19.660, Post: 19.70, t = 0.096, p = 0.924), showing no impact without intervention. Conclusion: In the present study majority of the nursing students had Average level of knowledge regarding telemedicine in pretest. After implementing structured teaching program majority of the nursing students had good level of knowledge. Which indicates that the structured teaching programme was effective in enhancing the knowledge of nursing students regarding telemedicine.
Published by: Nikita Sharma, Sunita Devi, Priyanka Sharma
Author: Nikita Sharma
Paper ID: V11I6-1308
Paper Status: published
Published: December 22, 2025
Clinical Evaluation Report on Aswini Hiran Strong Pain Oil
Aswini Hiran Strong Pain Oil is a topical Ayurvedic pain-relieving preparation used for knee pain, joint pain, muscular pain, shoulder pain, and backache. The product claims a rapid onset of relief within minutes of application and significant improvement within 14 days of regular use. A prospective, open-label, Phase 4 clinical study was conducted on adult subjects (n = 30) experiencing musculoskeletal pain. Pain severity was measured using a Visual Analogue Scale (VAS: 0–4) at baseline (Day 0) and after 14 days of regular application (Day 14). The study demonstrated significant improvement across all pain categories, with p < 0.001 for every parameter evaluated through a two-tailed paired t-test analysis. Mean pain reduction at Day 14 was 81.25% for knee pain, 78.13% for back pain, 89.29% for shoulder pain, and 78.57% for calf/muscle pain. Onset-of-relief assessments showed 80% of participants experienced noticeable relief within 10 minutes, with 10% reporting relief as early as 3 minutes. No adverse reactions or tolerability issues were reported. These findings substantiate the claims of Aswini Hiran Strong Pain Oil and confirm its effectiveness as a topical remedy for musculoskeletal pain.
Published by: Dr Gandhimathi, Mr.Anil Kumar
Author: Dr Gandhimathi
Paper ID: V11I6-1302
Paper Status: published
Published: December 22, 2025
Comparative Physicochemical Profiling of Finger Millet (Eleusine coracana) and Pearl Millet (Pennisetum glaucum) Cultivars
Millets have re-emerged as functional grains due to their rich nutrient composition and diverse bioactive constituents. This study presents a comparative physicochemical evaluation of selected cultivars of finger millet (Eleusine coracana) and pearl millet (Pennisetum glaucum) to determine their nutritional and nutraceutical significance. Standard analytical parameters, including loss on drying (LOD), total ash, acid-insoluble ash, water-soluble ash, pH, and water-soluble extractive values were assessed following WHO and pharmacopoeial guidelines. Finger millet cultivars RAU-8 and Indaf-9 exhibited higher mineral content and extractive values, indicating superior nutraceutical potential. Pearl millet cultivars Pioneer 86M86 and ICMH-356 displayed the highest total ash and aqueous extractive yields, suggesting greater concentrations of polar phytochemicals. Comparative analysis revealed that finger millet excels in mineral richness, whereas pearl millet demonstrates higher extractive potential.
Published by: Anubha Pandey, CBS Dangi
Author: Anubha Pandey
Paper ID: V11I6-1307
Paper Status: published
Published: December 19, 2025
How Does Perceived Control in a Managerial Role Influence Physiological Stress Responses During Financial Fraud Situations?
Financial fraud events place intense psychological and physiological pressure on managerial decision-makers. Perceived control—defined as an individual’s belief in their ability to influence outcomes—plays a key role in modulating stress responses. This experimental study examined whether managers with high perceived control demonstrate lower physiological stress responses compared to those with low perceived control during a simulated financial fraud scenario. Using a laboratory-based mixed-design experiment (N = 60), participants were assigned to high-control or low-control managerial roles and exposed to both a neutral scenario and a fraud-crisis scenario. Stress responses were measured using galvanic skin response (GSR) and pulse-derived heart rate changes from baseline. Synthetic data modelled after real psychophysiological patterns were analysed using repeated-measures ANOVA and delta-based t-tests. Results showed significantly greater increases in GSR and heart rate during the fraud scenario for the low-control group compared with the high-control group. Within-group analyses confirmed that both groups exhibited elevated physiological arousal during fraud relative to neutral tasks, but the magnitude of change was consistently higher in low-control participants. These findings suggest that perceived control acts as a protective factor, attenuating physiological stress during high-stakes financial decision-making. Implications for leadership selection, crisis management protocols, and stress-mitigation training are discussed. Beyond immediate stress reactivity, the study also highlights the potential cognitive implications of autonomic arousal during fraud-related decision-making. Elevated GSR and heart rate responses in low-control managers may reflect heightened emotional load, reduced cognitive flexibility, and impaired working memory—factors known to compromise decision quality under uncertainty. Conversely, individuals in high-control positions appeared to maintain more stable physiological profiles, suggesting the presence of regulatory mechanisms that may support clearer judgment, faster threat appraisal, and more adaptive responses during organizational crises. The methodological contribution of this study lies in the integration of GSR and pulse-based heart rate monitoring within a realistic financial fraud simulation, demonstrating the feasibility of combining psychophysiological tools with organizational-behaviour paradigms. Although the dataset employed was synthetic and modelled after established physiological patterns, the experimental framework provides a robust foundation for future empirical studies involving real participants. This approach offers valuable insights into how perceived managerial control can influence biological stress pathways, ultimately shaping crisis-management performance in high-risk financial environments.
Published by: Yana Pranati Sharma
Author: Yana Pranati Sharma
Paper ID: V11I6-1304
Paper Status: published
Published: December 19, 2025
India’s Evolving Foreign Policy: Leadership and Diplomacy in the Global South (2000–2025)
This paper examines the evolution of India’s foreign policy between 2000 and 2025 and evaluates how the country has positioned itself as a leading voice of the Global South. Building on its postcolonial legacy of non-alignment and South–South cooperation, India has adopted a multi-dimensional strategy that integrates multilateral diplomacy, development finance, vaccine and health diplomacy, digital public infrastructure sharing, and strategic partnerships. Through platforms such as the G20, BRICS, and the United Nations, India has increasingly shaped global governance debates, advocating for equity, climate justice, institutional reform, and inclusive development. Initiatives like Vaccine Maitri, concessional Lines of Credit, and digital cooperation demonstrate a shift from symbolic leadership to tangible implementation. However, India’s leadership remains constrained by capacity limits, domestic pressures, and geopolitical competition. The paper concludes that India’s emerging leadership model blends normative advocacy with pragmatic partnership, offering an alternative, non-coercive framework for Global South cooperation.
Published by: Kabir Bhasin
Author: Kabir Bhasin
Paper ID: V11I6-1303
Paper Status: published
Published: December 19, 2025
Artificial Intelligence : JobBot
The rapid advancement of artificial intelligence has paved the way for innovative solutions in the recruitment process. This abstract introduces the AI JobBot, a cutting-edge system designed to enhance the interview experience for candidates through personalized and domain-specific interactions. Upon candidate selection of their domain, the JobBot employs natural language processing to engage in a human-like conversation, tailoring questions to the specific requirements of the chosen field. The dynamic interview process adapts to candidate responses, ensuring a comprehensive evaluation of their skills and knowledge. The AI JobBot leverages machine learning algorithms to continually refine its questioning techniques, mimicking the adaptability of human interviewers. This not only provides candidates with a realistic and engaging interview experience but also ensures that the evaluation is aligned with industry standards. Furthermore, the JobBot goes beyond the conventional interview experience by offering constructive feedback to candidates. Through real-time analysis of their responses, the AI system provides personalized insights into strengths and areas for improvement. This feedback is invaluable for candidates seeking to enhance their interview skills and refine their expertise.
Published by: Sushil Kumar B, Shiv Shobhith M
Author: Sushil Kumar B
Paper ID: V11I6-1300
Paper Status: published
Published: December 19, 2025
