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Research Paper

Efficacy of a Topical Ayurvedic Preparation (Zandu Vaporizing Cold Rub) – Relief from Cold and Associated Symptoms

Zandu Vaporising Cold Rub is a topical Ayurvedic preparation containing active ingredients such as camphor, turpentine oil, eucalyptus oil, and menthol. This study aims to evaluate the product’s claims as an over-the-counter (OTC) remedy for cold and pain relief. A prospective, open-label, phase 4 study was conducted with consenting adults (n=30) experiencing cold-related symptoms. Each participant received one bottle of the product and used it over a 6-day period. Efficacy was measured through a visual analogue scale on days 0, 2, 4, and 6. The results showed a significant reduction in symptoms of a blocked nose, cold, and congestion within 2 days, and a reduction in cold-related headaches by day 6 (p < 0.001). Conclusion : Zandu Vaporising Cold Rub is an effective treatment for cold and its associated symptoms.

Published by: Dr . G. Gandhimathi, Chandra Mohan Nandi, Sadaf Nadeem

Author: Dr . G. Gandhimathi

Paper ID: V10I6-1228

Paper Status: published

Published: November 18, 2024

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Research Paper

Efficacy of a Topical Ayurvedic Preparation (Zandu Pain Relief Gel Ultra Strong) – Relief from the Symptoms of Joint Pain , Back Pain and Sprain

Zandu Pain Relief Gel Ultra Strong is a topical ayurvedic formulation comprising active ingredients such as Mentha sp. - Satva, Cinnamomum camphora - Satva, Trachyspermum ammi - Satva, Gaultheria fragrantissima - OL., Eucalyptus globulus - OL., Pinus longifolia - OL., Syzygium aromaticum - OL., Capsicum annum - Satva, Boswellia serrata - Oleo-Gum-Resin, Rosmarinus officinalis - OL., Zingiber officinale - Oleo-Resin, Linum usitatissimum - OL., Benzyl alcohol, Base: q.s.This study aims to evaluate the efficacy of this over-the-counter (OTC) product for relieving symptoms of joint pain, back pain, and sprain. A prospective, open-label, phase 4 study was conducted with consenting adults (n=30) experiencing symptoms of joint pain, back pain, and sprain. Each participant received one tube of the product to use over a 6-day period and provided feedback on its effectiveness using a visual analogue scale. Efficacy scores were recorded on days 0, 2, 4, and 6. Results showed significant relief from joint pain, back pain, and sprain within 2 days, with further reductions observed by day 6 (p < 0.001). Conclusion: Zandu Pain Relief Gel Ultra Strong is an effective remedy for alleviating the symptoms of joint pain, back pain, and sprain.

Published by: Dr. G. Gandhimathi, Chandra Mohan Nandi, Sadaf Nadeem

Author: Dr. G. Gandhimathi

Paper ID: V10I6-1226

Paper Status: published

Published: November 18, 2024

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Research Paper

Efficacy of a Topical Ayurvedic Preparation (Zandu Universal Oil) – Relief from Cold and Associated Symptoms

Zandu Universal Oil is a topical ayurvedic formulation comprising active ingredients such as Mentha sp., Gaultheria fragrantissima, Cinnamomum camphora, Eucalyptus globulus, Melaleuca leucadendron, Elettaria cardamomum oil, and Capsicum annuum in a base (q.s.). This study aims to evaluate the efficacy of this over-the-counter (OTC) product for relieving symptoms of cold and pain. A prospective, open-label, phase 4 study was conducted with consenting adults (n=30) who were experiencing cold-related symptoms. Each participant received one bottle of the product to use over a 6-day period and provided feedback on its effectiveness using a visual analogue scale. Efficacy scores were recorded on days 0, 2, 4, and 6. Results showed significant relief from cold and nasal congestion within 2 days, and a reduction in headache and body pain ( measured as backache) associated with cold by day 6 (p <0.001). Conclusion: Zandu Universal Oil is an effective remedy for alleviating cold symptoms and associated discomfort.

Published by: Dr. G.Gandhimathi, Chandra Mohan Nandi, Sadaf Nadeem

Author: Dr. G.Gandhimathi

Paper ID: V10I6-1227

Paper Status: published

Published: November 18, 2024

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Research Paper

AI in Assembly Level Security Testing

Ensuring their security has become a critical challenge with the increasing complexity of modern software systems. Assembly-level security testing plays a crucial role in identifying vulnerabilities at the lowest layer of the code, where many sophisticated attacks can occur. This research investigates the application of artificial intelligence (AI) techniques in enhancing assembly-level security testing. We explore how AI, specifically machine learning models, can be leveraged to automate the detection of security flaws in assembly code by analyzing instruction patterns, control flow, and memory access behaviors. The paper presents a novel approach combining deep learning and static analysis tools to identify vulnerabilities such as buffer overflows, race conditions, and improper memory accesses. Experimental results show that AI-based techniques can significantly reduce the time and effort required for security analysis while improving the accuracy of vulnerability detection. Additionally, we discuss the challenges and limitations of applying AI in this context, particularly in terms of interpretability and integration with existing security tools. The findings highlight the potential of AI to revolutionize assembly-level security testing, paving the way for more efficient and robust vulnerability detection in low-level software development.

Published by: Shiwangi Soni

Author: Shiwangi Soni

Paper ID: V10I6-1254

Paper Status: published

Published: November 18, 2024

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Research Paper

Optimizing Leadership Through Effective Time Management: A Comprehensive Review

Effective time management is a cornerstone of successful leadership, where leaders must adeptly balance numerous responsibilities, deadlines, and competing priorities. This study provides a comprehensive analysis of time management strategies specifically tailored for leadership roles, drawing on a thorough literature review and empirical findings. Key time management techniques are identified, alongside their relevance to the distinct demands of leadership, with a particular focus on how these practices contribute to organizational success (Covey, 1994; Claessens et al., 2007). Furthermore, the paper investigates common challenges leaders encounter in managing time effectively, such as decision-making fatigue and priority conflicts (Macan, 1994). Practical, research-backed solutions are proposed to address these obstacles, aiming to support leaders in optimizing time management for enhanced productivity and influence. By synthesizing both theoretical and practical insights, this study contributes to the discourse on leadership efficacy, underscoring the vital role of effective time management in achieving strategic goals and fostering a productive work environment (Grissom et al., 2015; Gupta & Sharma, 2016).

Published by: Navya Bajaj

Author: Navya Bajaj

Paper ID: V10I6-1234

Paper Status: published

Published: November 16, 2024

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Case Study

Intersecting Psychopathologies: Analyzing Delusional and Hallucinatory Presentations in Schizophrenia and Dementia Patients

This study examines the intersection of psychopathologies between schizophrenia and dementia, focusing on delusional and hallucinatory presentations that complicate diagnosis and treatment. Both disorders exhibit overlapping psychotic symptoms, including hallucinations and delusions, yet are driven by distinct neurobiological and cognitive underpinnings. This research aims to improve diagnostic accuracy and guide individualized therapeutic strategies for patients presenting with overlapping psychotic features. Findings emphasize the importance of tailored neuropsychological assessments and the potential benefits of adapting therapeutic approaches from schizophrenia treatment for dementia patients experiencing psychosis. This study contributes to the evolving understanding of neuropsychiatric overlaps and distinctions, underscoring the need for further research on targeted interventions.

Published by: Gunika Goyal, Zuby Hasan

Author: Gunika Goyal

Paper ID: V10I6-1207

Paper Status: published

Published: November 15, 2024

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