Volume 9 | Issue 9

 Abstract

The advertising condition speaks to a blend between the inside and outside powers which encompass an association and have an effect upon it, particularly their capacity to manufacture and keep up fruitful associations with target clients. Expanding mindfulness on the different advertising issues has driven a move in the manner shoppers approach their life. There has been an adjustment in customer mentalities towards a way of life. With the assistance of Marketing, individuals are effectively attempting to impact their effect on the general public. Associations and business anyway have seen this adjustment in customer frames of mind and are attempting to increase an edge in the focused market by misusing the potential in the market business. The present investigation presents the idea of showcasing condition and investigates the different manners by which the distinctive customer ascribes are identified with the idea of advertising.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internal Marketing Environment, External Marketing Environment, Customer Attributes, Competitive Market, Ethics, Demographics, Public Policy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human resource management is the strategic approach to the effective and efficient management of people in an organization. Human resource planning plays a major role in recruiting and selecting the people. Every organization appoints a person as a human resource manager. The traditional recruitment methods are newspaper, magazines, pamphlet and employee referrals. Recruitment and selection as become a key process in flourishing the success of an organization. The main goal of the research is to evaluate the process of recruiting a right person in a specific time duration and to analyze the stages of selection procedure in recruiting the people. Recruitment of a qualified and skilled person makes the organization to achieve the goal. Delegation of work leads to less burden and it saves the time of the employee. Co-ordination and unity of work helps to engage with a positive behavior towards working environment. Performance appraisal encourages a candidate to grant the fullest of his skill. During this pandemic situation, e-recruitment is most commonly preferred by many of the organizations. Artificial Intelligence has emerged as a boon to the recruiters by automating the repetitive task. E-recruitment is more efficient and less expensive which is currently opted more in the pandemic situation. E-recruitment is easier to source candidates and conduct interviews with less investment of time. Organizational culture and organizational ethics enhance the working environment. The research is completely based on the conceptual framework. The main areas that have been taken into account in this research are factor influencing recruiting and selection of hires, steps in selecting a candidate, sources of recruitment and outsourcing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

-recruitment, Performance appraisal, Organizational culture, Selection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial Intelligence deck out the business leaders with hard evidence, possible outcomes and give predictions which help them to make well informed, throughout with an unemotional decisions. We are entering in an era where the AI become the serious theory at an executive leadership level where humans and machines work together in future cooperatively and harmoniously. It will be very early to predict the impact of AI in leadership in different level of organization. But in ethos, AI has the capacity to make supplement of human decision making, bringing boardroom to the more complex problem solving methods and also help in data analysis for human in various innovative ways. At present, business world and its related organization is already immersed in AI. Many innovative methods have already taken in order to execute the things in the organization. AI can be used in various aspects like increasing productivity, cost cutting, expanding business, increase the sales in order to increase the market share, expanding communication, launching new initiatives, customer satisfaction, service support, quality control assurance, optimization, financial gains. AI has a great impact on leadership as well. Through AI human seeking out the accurate ways of working. AI has taken its own pace which help the human to prove his efficiency in the organization. Such changes bring inevitable concern in leaders and it should be an important focus on the possibilities to understand that might be empower the human decision in future.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Market share, cost cutting, customer support, quality assurance.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advent of the digital era has transformed marketing strategies across industries. Online marketing has become a crucial tool for businesses to reach, engage, and retain customers. This study investigates the effectiveness of online marketing strategies including social media marketing, search engine optimization (SEO), email marketing, content marketing, and influencer marketing on consumer engagement and purchase decisions. Data were collected through a survey of 400 online consumers. The findings indicate that personalized and interactive online marketing significantly enhances consumer engagement, brand awareness, and purchasing behavior. The study offers practical insights for marketers aiming to maximize the impact of digital campaigns.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online marketing, customer rate.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Autonomous drones are increasingly being deployed in applications such as surveillance, disaster management, agriculture, and delivery services. However, most existing navigation systems rely heavily on cloud computing, which introduces latency, connectivity issues, and high energy consumption. To address these limitations, this research proposes an Edge AI-based navigation system using ESP32, a lightweight yet powerful microcontroller capable of running TinyML models. The system integrates onboard sensors including a camera, IMU, ultrasonic sensor, and GPS to enable real-time obstacle detection, path planning, and stable flight control without dependency on cloud servers. A convolutional neural network (CNN) optimized with TensorFlow Lite Micro is deployed on the ESP32 for efficient object recognition and obstacle avoidance. Experimental evaluations demonstrate that the proposed system achieves low-latency decision-making with reduced power consumption while maintaining accurate navigation performance. The findings highlight the potential of ESP32-based Edge AI as a cost-effective and scalable solution for autonomous drone navigation, opening opportunities for future applications in smart cities, defense, and industrial monitoring.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Edge AI, Autonomous Drone Navigation, ESP32, TinyML, Obstacle Detection, UAV, Computer Vision, Real-time Processing.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As infrastructure demands intensify, the construction sector is undergoing a profound transformation. Modern challenges such as rapid urbanization, resource scarcity, climate resilience, and lifecycle cost efficiency are increasingly difficult to address using traditional materials. This has led to the emergence of innovative materials. Ultra-high-performance concrete (UHPC), high-performance fibre-reinforced concrete (HPFRC), fibre-reinforced polymers (FRPs), self-healing materials, and smart adaptive alloys offer superior strength-to-weight ratios. Their adoption can enable structures to be lighter, stronger, and longer-lasting while requiring less maintenance. Beyond structural benefits, these materials also provide significant sustainability advantages. They are designed to reduce embodied carbon, conserve raw materials, and promote circular construction practices. UHPC components require thinner cross-sections and use less raw material, while self-healing materials can autonomously repair cracks and extend service life. The use of FRP reinforcements reduces the need for frequent repairs. Infrastructure owners and operators can benefit from the long-term durability and cost-effectiveness of these materials. However, transitioning to innovative materials is not without challenges. High initial costs, limited industrial production capacity, and a lack of standardized design codes have slowed their adoption. Many engineers and contractors also lack training to design and build with these advanced materials. This paper examines the current state of innovative materials in structural engineering and outlines strategies for integrating these materials into mainstream practice.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

- Innovative materials, structural engineering, UHPC, HPFRC, FRP composites, self-healing concrete, nanomaterials, sustainability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Suicide, particularly among adolescents, has emerged as a profound public health challenge that transcends geographical, cultural, and socioeconomic boundaries. In India, the issue is particularly alarming in the northeastern states, where unique cultural dynamics and socio-economic factors converge to create an environment in which young individuals grapple with immense psychological stress. Arunachal Pradesh, a state nestled in the eastern Himalayas, stands out due to its strikingly high rates of adolescent suicide. According to the National Crime Records Bureau (NCRB) data from 2020, Arunachal Pradesh recorded one of the highest suicide rates in India, with estimates suggesting that approximately 59% of total suicide cases involved individuals under the age of 25. This statistic underscores an urgent public health crisis that necessitates thorough analysis and immediate intervention.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

TRENDS, CAUSES, AND CONSEQUENCES OF TEENAGE SUICIDE IN ARUNACHAL PRADESH: A SOCIOLOGICAL INQUIRY

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The intersection of artificial intelligence (AI) and human intuition in clinical diagnostics has sparked a paradigm shift in medical decision-making. With advances in machine learning, deep learning, and natural language processing, AI systems have demonstrated impressive capabilities in pattern recognition, differential diagnosis, and disease prediction. However, the irreplaceable cognitive heuristics, experiential learning, and emotional intelligence of human clinicians remain vital in ambiguous and complex scenarios. This research paper presents a comprehensive comparative analysis of AI-based diagnostic tools versus human medical professionals across a range of diseases, including radiology, pathology, cardiology, and oncology. Using real-world datasets, clinical case simulations, and literature synthesis, this study evaluates accuracy, sensitivity, specificity, diagnostic time, error rates, and contextual understanding. The results indicate that while AI outperforms in speed and large-scale data analysis, human intuition excels in handling rare presentations, ethical judgments, and patient-specific nuances. A hybrid model leveraging both AI precision and human intuition emerges as the optimal solution for future healthcare systems. This study concludes that AI is not a replacement but a robust augmentation to human expertise, reshaping the future of medical diagnosis through collaborative intelligence.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Human Intuition, Medical Diagnosis, Clinical Decision-Making, Machine Learning, Diagnostic Accuracy, Hybrid Intelligence, Health Informatics, Deep Learning, Diagnostic Tools

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Translation into local languages is a cornerstone of inclusive development, cultural preservation, and equitable access to information. In multilingual societies like India, where linguistic diversity is vast, translation ensures that knowledge, services, and opportunities are accessible to all, regardless of their native language. This paper explores the multifaceted importance of translating content into local languages, highlighting its critical roles in education, governance, commerce, healthcare, and cultural preservation. By examining various initiatives and studies, we underscore how translation fosters inclusively, empowers communities, and bridges communication gaps in diverse sectors.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Education, Governance, Commerce, Healthcare and Culture.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an extensive exploration of various cosmological models, integrating modern theoretical advancements with their mathematical frameworks. Beginning with the Standard Cosmological Model and the Big Bang theory, we investigate modified gravity models, quantum cosmology, primordial black hole cosmology, computational simulations, parallel universes, and cyclic models. We also examine alternative theories such as the Randall-Sundrum model, holographic universe, Bose-Einstein condensate cosmology, and the variable speed of light theory. By incorporating observational data and theoretical physics, this review provides a comprehensive understanding of current cosmological paradigms and discusses which models are most scientifically viable.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cosmology, Universe, Mathematical Framework, Big Bang Theory, Einstein, Primordial Black hole cosmology, Brane world cosmology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Water is necessary for any living life form. However, it has been discovered that water in the mantle governs the mechanisms that drive the dynamic earth system and keep the planet alive, unlike other planets in the solar system, which are considered dead. Water regulates the rheological properties of rocks in the mantle, and its existence has been confirmed through seismic investigations, which have revealed two notable discontinuities at 410 km and 660 km. The transition zone between these zones is considered a water storage site. It has been proved to contain approximately 1000 ppm of water, consistent with several other estimations of water content. Seismic tomography depicts the water transport mechanism and provides insight into the phase transformation kinetics occurring at discontinuities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Water, mantle, seismic, rheology, melting

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the rapidly evolving field of network switching systems, high-speed digital circuits play a crucial role in ensuring efficient and reliable data transmission. As network demands increase and technologies advance, the design of these circuits must address several critical challenges to achieve optimal performance. This paper explores key design strategies for high-speed digital circuits in network switching systems, focusing on techniques to enhance speed, reduce latency, and maintain signal integrity. One fundamental aspect of designing high-speed digital circuits is managing signal integrity. At elevated frequencies, signal degradation due to factors such as signal reflection, crosstalk, and electromagnetic interference becomes a significant concern. Effective strategies to mitigate these issues include the use of controlled impedance PCB (Printed Circuit Board) traces, differential signaling, and proper grounding techniques. Additionally, the implementation of advanced signal conditioning components, such as equalizers and pre-emphasis circuitry, helps to compensate for signal attenuation and distortion. Another critical design consideration is the optimization of power delivery networks. High-speed digital circuits often require precise power regulation to ensure stable operation and avoid performance degradation. Techniques such as decoupling capacitor placement, power plane design, and the use of low-dropout regulators are essential for maintaining clean and stable power supplies. Efficient thermal management also plays a vital role in preventing overheating and ensuring long-term reliability. Clocking strategies are also pivotal in high-speed digital circuit design. Clock distribution networks must be carefully designed to minimize skew and ensure synchronous operation across the entire circuit. Techniques such as clock tree synthesis, phase-locked loops (PLLs), and clock gating are employed to manage clock signals effectively and reduce jitter, which can adversely affect performance. Furthermore, the choice of materials and fabrication technologies significantly impacts circuit performance. Advanced materials such as low-loss dielectrics and high-speed interconnects are used to enhance signal transmission characteristics. Additionally, innovations in fabrication technologies, such as fine-pitch BGA (Ball Grid Array) and advanced packaging techniques, contribute to higher circuit densities and improved performance. Design verification and testing are essential components of the development process. Simulation tools and hardware emulation techniques are employed to model circuit behavior and identify potential issues before fabrication. Additionally, real-world testing, including signal integrity analysis and thermal performance evaluation, ensures that the design meets the required specifications and performance criteria. In conclusion, designing high-speed digital circuits for network switching systems involves addressing a range of challenges to achieve optimal performance. By employing strategies to manage signal integrity, optimize power delivery, refine clocking methodologies, and leverage advanced materials and technologies, engineers can develop robust and efficient circuits capable of meeting the demands of modern network infrastructures. The continuous advancement in design techniques and technologies promises further improvements in speed, reliability, and overall system performance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

High-speed digital circuits, network switching systems, signal integrity, power delivery, clocking strategies, materials and fabrication technologies, design verification

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the relationship between explosive strength (both leg and arm) and game performance among high school Kabaddi players (boys) in Vijayapura District, Karnataka. Utilizing a descriptive survey method, the study involved 45 boys Kabaddi players aged 14-17 years. Explosive strength was measured through the standing broad jump for legs and the medicine ball throw for arms, while game performance was assessed using a coaches' rating scale. The data analysis employed Karl Pearson Product-Moment Coefficient of Correlation, One-way ANOVA, and LSD's Post Hoc test. Results indicated a moderate positive correlation between leg explosive strength and Kabaddi game performance (r = 0.526, p < 0.05), suggesting that players with higher leg explosive strength tend to perform better. Conversely, arm explosive strength showed a weaker correlation with game performance (r = 0.305, p < 0.05) and significant differences among different play positions. ANOVA results revealed significant differences in leg explosive strength across play positions. However, no significant differences were found in arm explosive strength across play positions. The study concludes that leg explosive strength is a critical factor influencing Kabaddi performance, while arm explosive strength has a less significant impact. Based on these findings, it is recommended that training programs emphasize leg strength development, consider play positions in training strategies, and explore additional factors affecting performance in future research. These insights are intended to guide coaches and players in enhancing Kabaddi performance through targeted physical training and performance evaluation practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Relationship, Explosive Strength, Leg strength, Arm strength, Game performance, Kabaddi players

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advent of 5G New Radio (NR) networks marks a significant advancement in wireless communications, promising enhanced data rates, ultra-reliable low latency communication (URLLC), massive machine-type communications (mMTC), and improved energy efficiency. As 5G networks are deployed globally, optimizing network performance and improving Key Performance Indicators (KPIs) becomes crucial. This paper explores various optimization techniques for 5G NR networks, focusing on enhancing KPIs such as throughput, latency, reliability, and energy efficiency. One of the primary challenges in 5G networks is managing the complexity and dynamic nature of the radio environment. This complexity arises from the need to support a wide range of services with diverse requirements, including enhanced mobile broadband (eMBB), URLLC, and mMTC. Each service category has distinct KPIs, necessitating tailored optimization strategies. For eMBB, the focus is on maximizing throughput and spectral efficiency, while URLLC requires minimizing latency and ensuring high reliability. mMTC, on the other hand, emphasizes energy efficiency and scalability to accommodate billions of devices. Beamforming and Massive MIMO (Multiple Input Multiple Output) are key technologies in 5G NR that significantly impact network performance. Beamforming optimizes signal strength and coverage by directing radio signals towards specific users, thereby improving throughput and reducing interference. Massive MIMO, which involves the use of a large number of antennas at the base station, enhances capacity and spectral efficiency. These technologies require sophisticated algorithms for real-time optimization to adapt to changing network conditions and user mobility. Network slicing is another critical aspect of 5G optimization, enabling the creation of virtual networks tailored to specific service requirements. By partitioning the network into multiple slices, operators can allocate resources dynamically and ensure that each slice meets its respective KPIs. This approach enhances resource utilization and allows for the efficient management of network traffic. Machine learning and artificial intelligence play a pivotal role in network slicing, enabling predictive analytics and automated decision-making to optimize slice performance. Energy efficiency is a major consideration in 5G networks, given the increasing demand for sustainable and environmentally friendly solutions. Techniques such as sleep mode for base stations, dynamic power control, and energy-aware routing are employed to minimize energy consumption without compromising network performance. Additionally, the use of renewable energy sources and energy harvesting technologies is being explored to power 5G infrastructure sustainably.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

5G NR, network optimization, KPI improvement, performance enhancement, resource allocation, beamforming, latency reduction, spectral efficiency, network slicing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are only two living representative of Probocidea, the African Elephants (Loxodonta Africana) and the Asian Elephant (Elephas maximus) are still living in the blue planate even after a prolong evolution of the species since the Eocene. The Great Elephant Census of 2016 conducted in the 18 African countries estimates that only 352,271 Great Elephants left in the savanna of Africa. Whereas the conservationists believe that the number of the African savanna elephant was as high as 20 million prior to the European colonization. In 1979 the number reduced to 1.3 million and still declining rapidly.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The Conservation Status of Asian Elephants: Issues and Challenges

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The diabetes-associated mortality rate is increasing annually, along with the severity of its accompanying disorders that impair human health. Worldwide, several medicinal plants are frequently urged for the management of diabetes. Reports are available on the use of medicinal plants by traditional healers for their blood-sugar-lowering effects, along with scientific evidence to support such claims. The Asteraceae family is one of the most diverse flowering plants, with about 1,690 genera and 32,000 species. Since ancient times, people have consumed various herbs of the Asteraceae family as food and employed them as medicine. Despite the wide variety of members within the family, most of them are rich in naturally occurring polysaccharides that possess potent prebiotic effects, which trigger their use as potential nutraceuticals. This review provides detailed information on the reported Asteraceae plants traditionally used as antidiabetic agents, with a major focus on the plants of this family that are known to exert antioxidant, hepatoprotective, vasodilation, and wound healing effects, which further action for the prevention of major diseases like cardiovascular disease (CVD), liver cirrhosis, and diabetes mellitus (DM). Moreover, this review highlights the potential of Asteraceae plants to counteract diabetic conditions when used as food and nutraceuticals. The information documented in this review article can serve as a pioneer for developing research initiatives directed at the exploration of Asteraceae and, at the forefront, the development of a botanical drug for the treatment of DM.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Asteraceae, diabetes, drug development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the era of increasing digital interconnectivity, cyber resilience in supply chain and transportation infrastructure has become paramount. This article explores the multifaceted challenges and solutions related to cybersecurity in these critical sectors. We begin by contextualizing the significance of cyber resilience against the backdrop of escalating cyber threats that have profound implications on global supply chains and transportation networks. Utilizing a comprehensive literature review, the study identifies key vulnerabilities and the evolving nature of cyber threats. We then present a methodological approach that blends qualitative and quantitative analysis, drawing on data from industry reports, case studies, and expert interviews. The core of the article delves into the strategies for enhancing cyber resilience, including technological innovations, organizational best practices, and policy-driven approaches. We provide a critical analysis of current policies and regulatory frameworks, highlighting their strengths and areas needing improvement. The article also showcases real-world examples and case studies where effective cyber resilience strategies have been implemented, offering valuable insights and lessons learned. In addressing the challenges and future directions, we discuss the role of emerging technologies like AI and blockchain, underlining their potential and limitations in bolstering cyber defenses. The study concludes by emphasizing the importance of a proactive, integrated approach to cybersecurity, underscoring its critical role in maintaining the integrity and efficiency of supply chains and transportation infrastructures. This article aims to inform practitioners, policymakers, and researchers, contributing to the ongoing discourse on building more resilient digital infrastructures in an increasingly interconnected world

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Supply Chain, Transportation Infrastructure, Cybersecurity, Artificial Intelligence (AI), Blockchain

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aim: To determine the impact of lifestyle-related behaviour in post'Covid-19 patients and also to determine the "lifestyle-related behaviour" in post Covid-19 patient so that proper treatment can be given to the patients to improve their lifestyle. Methodology: In this study 72 post COVID-19 patients were included according to the inclusion and exclusion criteria with verbal and written consent, from all the subjects to fill the questionnaire. Data collection was done within 3 months. During that period lockdown happened due to the COVID-19 second wave so some subjects could not filled the questionnaire properly. Some subjects consumed time to filled the questionnaire so we called them and to understand the importance of questioner and explained the things properly. Then the data was collected. Age wise differences was found to be significant across change in participation in cooking new and traditional recipes as well as change in sleeping hours among COVID-19 patients. While gender wise differences were found to be significant across change in skipping one of main meals among COVID-19 patients. Whereas, occupation wise differences was found to be significant across change in balanced diet, change in participation in cooking new and traditional recipes, change in immunity boosting foods, change in learning healthy eating tips from the media, change in aerobic exercise, change in sitting and screen time, change in quality of sleep and change in stress and anxiety levels among COVID-19 patients. This study confirms the current study's findings that COVID-19 has an impact on people's employment and unemployment. Changes in participation in cooking novel and traditional foods, as well as changes in sleeping hours, were found to be significantly by age among post COVID-19 people, gender differences were shown to be significant across changes in skipping one of the main meals. Whereas variations in occupation were found to be significant across changes in a balance diet, change in cooking new and traditional recipes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, survey, health status, gender differences, diet control, traditional cooking

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Title: EFFECT OF PROGRESSIVE MUSCLE RELAXATION TECHNIQUE IN REDUCING DEPRESSION AND IMPROVING QUALITY OF LIFE OF BURN PATIENTS Authors: Dev K.1, Yogesh.2 1.Assistant Professor, Department of Physiotherapy, GJUS&T, Hisar 2.MPT, Guru Jambheshwar University of Science & Technology, Hisar Aim: To evaluate the effectiveness of the PMRT in reducing depression and improving QOL in post- burn patients. Burn patients are seen to be very depressed after the injuries and it affects their activities of daily living (ADLs). So this study may help in reducing the depression and improving the QOL with daily physiotherapy techniques. Methodology: The study enlisted the participation of 10 patients who met the inclusion criteria. They were randomly assigned to the experimental group (PMRT with routine physiotherapy program), which consisted of ten patients. PMRT was given one session each day for two weeks, for a total of ten sessions. PMRT is a simple relaxation method that may be mastered quickly. It is a low-cost remedy that requires little training. It is a mind and body relaxation technique that involves progressively tensing and relaxing muscle groups. The relaxation response reduces sympathetic nervous system tone by limiting the stress reaction. Muscle tension, oxygen consumption, blood pressure, heart rate, and respiratory rate are all reduced as a result of this action. Result: The pre-assessment was done on the day of the first meeting after discharge, and the post-assessment was done after the 2-week exercise routine was completed. The patients were given an audio and leaflet with instructions, and their progress was tracked by phone calls. After a week, there was a significant improvement in depression reduction and mental components of QOL, as measured by the Beck Depression Inventory and the SF 36, respectively. Conclusion: PMRT has shown to be effective in lowering depression and enhancing quality of life. As a result, PMRT can be incorporated into burn rehabilitation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Burn patients, Physiotherapy, contracture, spasticity, Quality of Life, Depression

  License

Creative Commons Attribution 4.0 and The Open Definition