Volume 11 | Issue 12 |

 Abstract

This comprehensive review explores the intersection of dental care, yoga, mindfulness, and bruxism, emphasizing the often-overlooked aspect of patient well-being in traditional dental education. It delves into the positive impacts of yoga on mental and physical health, stress management, and overall well-being. The prevalence, etiology, diagnosis, and management of bruxism are thoroughly examined. The effectiveness and challenges of incorporating yoga into myofunctional therapy are discussed, highlighting its potential in mitigating the severity of malocclusion. The review also addresses potential risks associated with yoga and emphasizes the need for caution and individual suitability assessment. A comparison with traditional approaches to bruxism management is presented, acknowledging the lack of definitive cures and the varied efficacy of existing treatments. The review concludes by advocating for the integration of yoga into dental education, recognizing its multifaceted benefits and potential to enhance the overall experience for dental students. It calls for further research to refine diagnostics and validate the efficacy of yoga in managing periodontal diseases and stress-related challenges in dentistry.

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 Keywords

Dental education, Mind-body practices, Yoga, Bruxism, Stress management, Patient perspectives, Holistic approach, Well-being, Dental curriculum, Integrative dentistry.

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Simple, precise, economical, fast and reliable two UV methods have been developed for the simultaneous estimation of Metformin HCl and Glimepiride in bulk and pharmaceutical dosage form. Method A is Absorbance maxima method, which is based on measurement of absorption atmaximumwavelength of236 nm forMetforminHClrespectively. Method Bisareaunder curve (AUC), in the wavelength range of 217-247 nm for Metformin HCl. Linearity for detector response was observed in the concentration range of 5- 25?g/ml for Metformin HCl .The accuracy of the methods was assessed by recovery studiesandwas foundto be 100.23 % for Metformin HCl respectively. The developed method was validated with respect to linearity, accuracy (recovery), precision and specificity. The results were validated statistically as per ICH Q2 R1 guideline and were found to be satisfactory. The proposed methods were successfully applied for the determination of for Metformin HCl in commercial pharmaceutical dosage form.

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Spectroscopy, Sample cells, simultaneous, estimation

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This research paper presents a comprehensive analysis of the evolution of network security, contrasting traditional methods with innovative AI-driven approaches. It scrutinizes the inadequacies of conventional security systems, emphasizing their inability to cope with sophisticated and rapidly changing cyber threats. The paper strongly advocates for the integration of Artificial Intelligence in network security, highlighting its potential in data analysis, adaptation to new threats, and enhancement of predictive capabilities. The study discusses the proactive, dynamic nature of AI in detecting and responding to cyber threats, significantly outperforming traditional techniques. Additionally, it addresses the challenges and ethical implications of employing AI in this field, recommending a balanced strategy that combines human expertise with AI advancements. This abstract encapsulates the paper's exploration into the transformative impact of AI on network security, proposing AI integration as a crucial step towards effectively countering complex cyber threats.

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 Keywords

Network Security, Artificial Intelligence (AI), Cyber Threats, AI-Driven Security, Traditional Security Methods, Adaptive Defense Mechanisms, Ethical Considerations in AI

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Pick and place robots are revolutionizing industrial operations by automating repetitive tasks with precision and speed. These robots, equipped with advanced sensors and control systems, adeptly handle diverse objects, optimizing manufacturing processes in industries such as automotive, electronics, and logistics. Their ability to swiftly and accurately position components enhances productivity while ensuring consistent quality. Beyond efficiency gains, these robots contribute to workplace safety by mitigating human exposure to hazardous tasks. Integrating seamlessly into Industry 4.0 frameworks, they leverage connectivity and data-driven insights for adaptive production and predictive maintenance. Pick and place robots stand as pivotal tools in reshaping manufacturing landscapes, offering unparalleled efficiency, precision, and safety in industrial applications.

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 Keywords

Bluetooth controlled, Pick and place robots, Precision, Workplace safety, Adaptability.

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Electronic Learning called e-learning has transforming the traditional education with the facet of flexibility, collaborative, personalised and customised learning and so on. E-learning refers to the process of acquiring knowledge and skills through digital platforms. With advancements in technology and internet accessibility, eLearning has become increasingly popular, revolutionizing the way students and professionals engage with educational content. With the help of e-learning, learners can track their options at their convenience, with diverse platforms offering a wealth of choices. E-learning has the aim of helping the learners with more appropriate courses which include the development of understanding, rationality honesty. E-learning results the improvement of the student in various aspects.

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E-learning, influencing factors, role of e-Learning

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Creative Commons Attribution 4.0 and The Open Definition

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This Research aims to explore the rising amount of unclaimed deposits and the factors responsible for the higher concentration of Unclaimed deposits in Public Sector Banks in India. Reserve Bank of India has taken steps for the reduction of unclaimed deposits in public sector banks but the same is not showing any declining trend. The expected outcome of this research is to provide banks with practical solutions to reduce the ever-rising amount of unclaimed deposits.

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Unclaimed Deposits, DEAF, Reserve Bank of India, Udgam Portal

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 Abstract

U.Ve. Saminathaiyarin Sivaga Cinthamani Pathippukal

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U.Ve. Saminathaiyarin Sivaga Cinthamani Pathippukal

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University students often grapple with the transition from adolescence to adulthood, a period filled with various challenges and stressors that can lead to mental health issues, particularly depression and anxiety. The National Mental Health Survey of India (NMHS) in 2015-16 identified a significant prevalence of mood-related disorders affecting 5.8% of Indian adults and anxiety disorders affecting 3.9%. These findings underscore the pressing need to address mental health concerns among the younger population, including university students. To explore potential interventions, a study was conducted to assess the effectiveness of Mandala Art Therapy in alleviating depression, anxiety, stress, and enhancing resilience in this vulnerable group. The term "mandala" is rooted in Sanskrit, an ancient Indian language, where it combines "Manda" (meaning center) and "La" to signify accomplishment, reflecting the therapeutic approach's focus on inner balance and well-being. The study employed a rigorous methodology, obtaining ethical clearance from the Institutional Ethical Committee and selecting 30 participants who met specific inclusion criteria. These participants were then given a comprehensive explanation of the study's purpose and procedures, followed by instructions regarding the intervention protocol. Over the course of four weeks, participants engaged in eight sessions of Mandala Art Therapy, with a frequency of two sessions per week. The study measured four main variables, namely depression, anxiety, stress, and resilience, both before and after the intervention. The results of this study demonstrated a significant positive impact of Mandala Art Therapy on the mental well-being of university students. Furthermore, individual assessments of depression, anxiety, and stress, as well as their collective effect, exhibited statistically significant improvements from pre- to post-intervention. In conclusion, this research underscores the potential of Mandala Art Therapy as an effective tool in reducing depression, anxiety, and stress, while simultaneously enhancing resilience among university students. The findings provide valuable insights into the positive impact of this ancient therapeutic approach, offering a promising avenue for addressing the mental health issues that often accompany the significant life changes and expectations faced by young adults pursuing higher education.

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Keywords: Mandala art therapy, Depression, Anxiety, Stress, Resilience, University students

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Humans excel at face recognition, the challenges of automatic facial recognition persist, particularly in scenarios involving aging, partial occlusion, and facial expressions. This paper proposes a novel face recognition framework comprising three key phases: Pre-Processing, Feature Extraction, and Classification. In the Pre-Processing phase, we enhance contrast and convert RGB images to Grey Level to improve the quality of facial images. Feature extraction involves capturing shape and texture using Active Appearance Models (AAM). The subsequent Classification phase employs an optimized LCDRC model. The pivotal component in the LCDRC model is the projection matrix, which plays a crucial role in enhancing recognition accuracy. To address this, we introduce a new hybrid algorithm known as the Combined Whale Lion Model (CWLM). The performance of our proposed model is evaluated based on metrics such as Accuracy, False Positive Rate (FPR), and False Discovery Rate (FDR). Comparative analysis is conducted against other methods, including LC-DRC, LCDRC-WOA, and LCDRC-CEWO.

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Face Recognition; AAM based feature extraction ;LCDRC based classifiaction; LA and WOA.

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Abstract With the rapid advancement in high-speed era augmented reality (AR) and Virtual reality (VR) there is a human digital interaction. The technology advancement made the human to compete with the competitive world. AR and VR provides the person to upgrade and bring out new innovations to the market. As it gives most effective and efficient way to work in the virtual world which makes accurate decisions in the organization. Through VR and AR, the human resources process such as recruiting of employees, providing training, taking decision, virtual office tours, effective meeting and communication can be made which makes the employees of the concern to be productive which in turn provides more productivity to the organization.

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 Keywords

Key Words: Human resources management, Virtual reality, Augmented reality, Three-dimensional aspect.

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