Volume 13 | Issue 1

 Abstract

Title- From Venom to Cure: The Therapeutics and Pharmacological Insights of Komodo Dragon Toxin in Medicine Abstract-The Komodo dragon (Varanus komodoensis), the largest extant lizard species, has garnered scientific attention due to its potent venom and unique physiological attributes. This review explores the composition and potential applications of Komodo dragon venom, which contains bioactive compounds such as AVIT peptides, CRISPs, kallikrein, natriuretic peptides, and phospholipase A2. These toxins exhibit diverse effects, including anticoagulation, hypotension, and antimicrobial properties, suggesting significant therapeutic potential. Notably, the venom's fibrinogenolytic activity aids in prey subjugation while holding promise for anticoagulant therapy. The review also highlights antimicrobial peptides like DRGN-1, which accelerate wound healing and combat infections, and discusses parallels between Komodo dragon venom and compounds like Exendin-IV from Gila monster venom, already used in diabetes management. Despite these advancements, challenges persist in ethical venom sourcing, toxicity mitigation, and peptide stabilization. Future research directions include recombinant production, personalized medicine applications, and clinical trials to unlock the full therapeutic potential of Komodo dragon venom for treating infections, chronic conditions, and metabolic disorders.

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Komodo dragon venom, Anti-coagulation, venom in drug development, pharmacological benefits

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Indian sub-continent is regarded as one of richest ecospheres of flora and fauna. From centuries ahead, several ethnic groups have reared the natural world of life in the nation. However, at the rapid growth of industrialization, several ethnic communities are undergoing serious threats of extinction considering the "green ethos" of conservation processes administered by the government from time to time. This paper dwells upon the consequences of modernization among the ethnic minorities and aims to seek for a sustainable understanding over the issue.

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industrialization, green ethos, conservation, ethnic, modernization, sustainable.

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The integration of Artificial Intelligence (AI) into workplaces is reshaping organizational processes and employee experiences. While AI enhances productivity and reduces workload, its implementation raises concerns regarding job security, stress, and workplace relationships. This study explores the multifaceted effects of AI on employee well-being by analyzing survey data from 500 employees across healthcare, technology, manufacturing, and finance sectors, alongside interviews with 50 managers and employees. Quantitative findings reveal significant productivity improvements (78%) but highlight challenges such as job insecurity (68%) and strained workplace relationships (50%). Thematic analysis identifies ethical implementation, training needs, and surveillance concerns as critical moderating factors. By providing evidence-based recommendations, this study aims to guide organizations in balancing AI's benefits with employee well-being.

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Artificial Intelligence, Employee Well-being, Workplace Automation, Job Security, Ethical AI, Organizational Strategies

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The rapid growth of unstructured textual data has amplified the need for efficient text categorization and summarization techniques. This paper explores the potential of leveraging N-Gram models, particularly focusing on their integration with extractive summarization approaches for enhanced text categorization and summary generation. The proposed approach utilizes N-Gram-based feature extraction to improve the representation of text data, allowing for better identification of patterns, relationships, and contextual understanding. The paper demonstrates the effectiveness of N-Grams in enhancing the accuracy of text categorization and summarization, showing significant improvements in the overall quality and coherence of generated summaries. The evaluation of the approach is carried out on a diverse set of textual data, using several performance metrics, including compression ratio, accuracy, and F1-score. Results suggest that the hybrid method offers promising performance in comparison to traditional methods

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N-Gram Models, Text Categorization, Text Summarization, Extractive Approaches, Feature Extraction

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My goal in writing this paper is to raise awareness about mental abuse. They can resolve 90% of their issues if they can identify the cause of their mental health issues. They can concentrate on that issue and attempt to find a solution through spiritual, scientific, and self-decisional means, with the aid of the law. If we are unable to identify the cause or do not wish to recover from mental torture or abuse, it might result in serious problems. If left undiagnosed or untreated, mental health issues worsen over time. Here, I sort of go over the various laws regarding physical and mental abuse and whether they can seek legal assistance. Since many people are unable to pay for legal services, I want to educate them on how to recognize signs of mental abuse. Ultimately, doctors assist people, but only patients are able to identify the primary cause of their depression. Because proper treatment is currently the only way to address mental health issues. Those who can afford it can benefit from counselling as well as therapies. People who are unable to pay for self-care can benefit from it if they understand the cause of their mental instability. Lastly, I describe a few methods by which individuals become aware that they are being vocally, physically, or verbally assaulted.

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Mental health: Awareness: Self help

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To overcome the demerits of Cloud Computing as well as Edge Computing, the amalgamation of both the Cloud and Edge computing methodologies are consid- ered. The ongoing trend of collaboration of AI with IoT, called Artificial Intelligence of Things, comes into the picture as it helps to resolve delays in data processing, privacy, and security issues. Studies have provided various concerns that arise when the Cloud-Edge Terminal Collaboration with AIoT possesses some already discussed issues individually. This paper helps understand the issues in detail and helps to devise a plan to design framework architecture that surpasses the flaws or drawbacks of the existing model and also discusses two important ideas to con- template the feasible design. The first idea is Asynchronous Federated Learning with Quantization for Cloud-Edge-based computing. The second idea states us- ing Mobile Edge Computing with Blockchain that is built on a Block Coordinate Descent algorithm which focuses on solving Joint Mixed-Integer and non-convex task offloading schedules, radio spectrum resource allocation as well as computing resources allocation that minimizes the energy consumption and reduces the delay in the processing of data. Several other ideas exist to solve the ongoing problems by introducing AIoT in Cloud-Edge Computing which advises the use of Blockchain technologies to increase the security and privacy of data by authenticating Terminal devices and Differential Privacy concept in a parallel way to promote the sharing of only data features rather than the actual raw data.

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AIoT, Blockchain, Cloud-Edge Computing, Differential Privacy, Blockchain, Joint Mixed Integer Schedule.

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Precision Agriculture (PA) is a transformative approach to modern farming that leverages advanced technologies to optimize crop management. By integrating data-driven techniques, PA aims to enhance productivity, reduce environmental impact, and improve the cost-effectiveness of agricultural operations. Key elements of this approach include extensive data collection, where information is gathered from diverse sources such as weather stations, soil sensors, satellite images, and drones. This data is then analysed using machine learning (ML) and artificial intelligence (AI) to detect patterns, predict crop yields, identify diseases, and recommend optimal planting schedules. Variable Rate Technology (VRT) allows farmers to apply inputs like fertilizers and pesticides in varying quantities based on specific field needs, minimizing waste and increasing efficiency. Geographic Information Systems (GIS) facilitate the mapping and analysis of spatial data, supporting site-specific management. Remote sensing technologies, such as drones and satellites, provide real-time monitoring of crop health, enabling the identification of stress and pest issues. Additionally, automation and robotics, including self-operating tractors and harvesters, enhance precision in farming tasks, reducing labour costs and improving operational efficiency. Through these innovative methods, precision agriculture revolutionizes traditional farming practices, paving the way for sustainable and efficient agricultural management.

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Precision Agriculture (PA), Data-Driven Farming, Machine Learning (ML) in Agriculture, Variable Rate Technology (VRT), Geographic Information Systems (GIS), Remote Sensing in Farming

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This study aims to apply the Flanders Interaction Analysis System (FIAS) to analyze and interpret the dialogues in the Bhagavad Gi?ta?, examining the interaction between K???a and Arjuna to understand the dynamics of their teacher-student relationship. This is a qualitative study employing FIAS to evaluate the conversations in the Bhagavad Gi?ta?, focusing on the socio-emotional climate of the interaction between K???a and Arjuna. The Study was carried out under The University of Burdwan, India during the period from January 2023 to July 2023. Using the FIAS tool, the study quantitatively and qualitatively assesses the verbal interactions between K???a and Arjuna. The analysis categorizes the teacher (K???a) and student's (Arjuna's) verbal behaviors to determine the control dynamics, interaction patterns, and socio-emotional climate of their discourse. The analysis reveals a predominantly teacher-centred approach, with K???a demonstrating high enthusiasm and encouragement, while Arjuna exhibits low participation and initiative. This dynamic reflects a strong teacher influence over the student's behavior and learning process.The interaction between K???a and Arjuna, as analyzed through FIAS, shows a clear dominance of the teacher-centred approach, yet with a supportive and learner-friendly environment. K???a's engagement and facilitation highlight the significant role of the teacher in guiding and encouraging the learner, despite the lower level of student-led participation. This study affirms the crucial impact of teacher behavior on student learning and the overall socio-emotional atmosphere in instructional settings.

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Bhagavad Gi?ta?, Discourse Analysis, Interaction Analysis, Socio-emotional Climate, Educational Implications

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Sustenance of Automotive manufacturer Quality organization management existing practices in the era of fourth Industrial revolution "Industry 4.0" involves adapting and maintaining high standards in quality management systems while integrating new technologies and methodologies associated with Industry 4.0. The major issue for the manufacturing companies is not only to achieve a high level of performance but to sustain the position in the competitive global market while dealing with all upcoming unpredictable unknown challenges. Existing traditional manufacturer facing the survival of business as the industry fourth revolution has begun the unpredictable competition for digital technological domain, physical and ecological system. To overcome this digital challenge the organization still need to require identify and adopt new technology in quality management system to deal with the digital transformation era in manufacturing Industry 4.0. which has increased the challenges for company's quality leadership. The leading quality managers revealed a service need to upgrade plant quality department all sections like receiving quality, In-process quality, final Inspection, customer quality through digitation technology. New business model forcing to organization to adopt essential pillars of Industry 4.0 technological advancement in quality control and quality assurance department. This study is a detail investigation to determine the 4th industrial revolution revised approach of manufacturing quality management leadership. Accordingly, this paper aims at discussing the digital practices to be accommodate in manufacturing quality department including all sub section of quality such as supplier quality, new product development quality, final quality, customer quality etc. In this paper we reviewed the best quality management system (QMS) practices and proposes a modern framework of a quality management integrated model with respect to Industry 4.0 digital manufacturing process, where quality digital practices directly link with Industry 4.0 production environment. Digitizing processes allows for two-way communications. The current study intends to discover the effect of Quality Management system sustainability in the context of Industry 4.0 of Automobile manufacturer of India. Sustainability of Industry 4.0 in Quality Organization drastically improve plant manufacturing efficiency and quality of product by reducing internal rejection and prediction of defect before it occurs. So, it will help to reduce manufacturing plant cost of poor quality (COPQ) which lead to improve profitability of product.

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TQM, Quality Management System, Industry 4.0, intelligent quality control systems, Quality 4.0

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Hypothyroidism is a common endocrine disorder that affects various physiological systems, including cardiovascular, pulmonary, and musculoskeletal functions. While the clinical symptoms of hypothyroidism are well understood, its effects on physical activity, cardiac fitness, functional capacity, and health-related quality of life (HRQoL) remain less explored. This review aims to evaluate the relationship between physical activity, cardiac fitness, functional capacity, and HRQoL in patients with hypothyroidism. A systematic search of PubMed, Google Scholar, and ResearchGate was conducted, focusing on studies that assessed these outcomes in patients with hypothyroidism. The findings revealed that individuals with hypothyroidism, including those with subclinical hypothyroidism, exhibit significantly lower physical activity levels, cardiorespiratory fitness, and muscle strength compared to healthy controls. Cardiorespiratory function, as measured by VO2 max, was consistently lower in hypothyroid patients. Pulmonary function tests also showed reduced respiratory capacity in hypothyroid individuals. Additionally, hypothyroidism was associated with diminished HRQoL, particularly in areas related to sleep, social isolation, and general well-being. These findings underscore the need for early diagnosis and management of hypothyroidism to mitigate its negative effects on both physical and emotional health. While thyroid hormone replacement therapy may improve some aspects of physical fitness and HRQoL, further research is necessary to explore the long-term benefits of treatment and to identify the most effective strategies for improving the quality of life in this population.

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Hypothyroidism, physical activity, cardiac fitness, functional capacity, health-related quality of life

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Drones, or Unmanned Aerial Vehicles (UAVs), have evolved from niches in the military into critical tools in various civilian and commercial environments. Dependable technologies such as AI and IoT enable drones to transform everything from defence and logistics to agriculture and environmental monitoring. This is going to be considered a case study in order to research the integration of drones within a variety of domains, including collecting real-time information through surveillance and autonomous operating with the help of various case studies across different sectors, the impact of drone technology has been analyzed. This includes in-depth examination in the subject areas of how advanced sensors and imaging capabilities mounted on drones monitor conditions to provide assistance in targeted interventions and critical data. The focus was on the application of drones regarding resource management, disaster response, and infrastructure maintenance. Data for the analysis were gathered from field trials, consultations with industry experts, and a comparative study with traditional methods. The efficiency of drones was determined by such metrics as time saving, cost effectiveness, and operational efficiency.The findings of the study indicate that drones provide significant improvements across various sectors. For agriculture, for example, having drones saved on pesticide use, hence lower costs and lower negative impact on the environment. Drones improved crop yields by offering more precise interventions. In disaster response scenarios, drones gave coordination faster through actual time data delivery. The effective delivery of supplies to inaccessible remote areas speaks volumes for drones in disaster response. Drones in infrastructure inspection have minimized the need for manual labour, ensured a higher safety level by reducing the need for human engagement in high-risk locations, reduced time expected to inspect infrastructure, and reduced maintenance cost.It highlights the potential transformation brought by drones to increase efficiency and safety across sectors. Case studies point toward the sector that has utilized drones to significantly optimize resources, reduce operational time, and achieve real-time inputs in precision agriculture, disaster management, and infrastructure maintenance. However, proper usage of drones depends on overcoming current barriers in terms of regulations, the cost, and required training. Future research should be conducted in developing standardized frameworks in drone integration and possible alternative ways for cost reduction, thus allowing more usage. Drones will become a part of optimization nowadays as technology advances further with time.

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The financial sector plays a pivotal role in shaping the economic growth and development of a nation. In the context of India, financial sector reforms have been instrumental in fostering economic liberalization, inclusion, and resilience over the decades. This article explores how these reforms act as a propellant for the vision of a "New India," characterized by sustainable growth, technological advancement, and equitable access to financial services. It delves into key reforms, such as the introduction of digital banking, regulatory overhauls, and financial inclusion initiatives, which have significantly enhanced efficiency and accessibility. However, the path forward is not without challenges. Issues such as rising non-performing assets (NPAs), regulatory compliance gaps, cybersecurity threats, and financial literacy deficits pose substantial hurdles. Additionally, the sector must adapt to global uncertainties, technological disruptions, and the growing need for green and sustainable finance. The article prioritizes actionable strategies to address these challenges, including strengthening regulatory frameworks, fostering innovation, enhancing financial literacy, and promoting public-private partnerships. By aligning reforms with national priorities, India's financial sector can not only support the country's economic ambitions but also emerge as a global leader in inclusive and sustainable financial practices.

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Financial sector reforms, New India, economic growth, financial inclusion, digital banking, regulatory framework, non-performing assets (NPAs), cybersecurity, financial literacy, green finance, sustainable development, public-private partnerships, economic resilience, technological innovation, banking sector, global financial challenges, financial stability, monetary policy, capital markets, inclusive finance

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Predicting wine quality has emerged as a crucial topic of interest for producers and consumers alike, with the goal of ensuring production excellence and increasing market value. Relying on human expertise, traditional techniques of evaluating quality are time-consuming, subjective, and resource-intensive. Using publicly accessible datasets from the UCI Machine Learning Repository, we use Machine Learning (ML) approaches to forecast wine quality based on physicochemical properties in order to overcome these difficulties. Models like Logistic Regression, Decision Tree, Random Forest, and XGBoost are all part of our methodology and are assessed based on performance indicators like accuracy. By identifying the most pertinent qualities, feature selection reduces model complexity and boosts efficiency. Predicting wine quality has emerged as a crucial field of With XGBoost producing better results, our investigation demonstrates the strong predictive ability of ensemble methods and shows how they might be used to expedite quality assurance procedures in the wine business. This study demonstrates how ML-driven approaches can revolutionize conventional methods by providing a quicker, more accurate, and more affordable substitute for predicting wine quality. Predicting the quality of wine has become a crucial aspect of Our research demonstrates the strong predictive ability of ensemble approaches, with XGBoost producing better outcomes and showing promise for streamlining wine industry quality assurance procedures. This research highlights how machine learning (ML)-driven approaches can revolutionize conventional methods by providing a quicker, more accurate, and more affordable substitute for wine quality assessment.

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Wine Quality Prediction, Machine Learning (ML), Logistic Regression, Decision Tree, Random Forest, XGBoost.

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Cryptocurrency price prediction is a complex yet essential task in financial markets due to the extreme volatility and dynamic nature of digital assets like Bitcoin, Ethereum, and Ripple. As decentralized assets, cryptocurrencies are influenced by various factors, including market sentiment, trading volume s, technological developments, and macroeconomic trends. Traditional forecasting methods often struggle to capture these complexities, making advanced computational approaches such as machine learning (ML) and deep learning (DL) valuable for this purpose. This study aims to develop a robust system to predict cryptocurrency prices for the next 30 days by combining the strengths of ML and DL models, which are known for their ability to analyses large datasets and identify intricate patterns. The foundation of this project lies in collecting and pre-processing historical cryptocurrency data. The dataset includes key features such as open, high, low, and close (OHLC) prices, trading volumes, and technical indicators like Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD).

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Bitcoin, Ethereum, Altcoins, Stable coins,

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The golden opportunity for the golden human civilization is the bond of fraternity or brotherhood. The sense of brotherhood takes the human race to the pinnacle progress. The concept of "Brotherhood "is one of the most beautiful relations of human kind. It is one such thing that can turn the worst enemy into the best friend. Upgrade our brotherhood experience come to peace and security of the world society. Recently, one of the world's vital issue is the fraternity and racial harmony. A sense of fraternity binds people together. We found clear signs of it in constitution of India. Rabindranath Tagore spoke of national as well as world brotherhood. Dr. B. R. Ambedkar said that fraternity as "a sense of familiar sisterhood and brotherhood among the citizens of India. Indian's sense of brotherhood or neighborhood is inseparable among Indians. Therefore, unity is its motto even though it is pluralistic. Recently there has been a crisis in world fraternity culture.

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Brotherhood, sisterhood, neighborhood, communal harmony, fraternity

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Runaway marriages are prevalent all over India. They are still considered a breach of societal norms and customary values. The law does not work on customary norms; instead, it values personal liberty and the choice of living with anyone who is an adult. This paper is based on the study of a mechanism put in place by state authorities to provide a safe space for those who are considered as breachers of societal norms, particularly in the case of runaway marriages. The state mechanism is in the form of 'Safe Homes' for runaway couples. It will also look into the structure and functioning of safe homes. It explains how couples get inside the safe home and how they are relieved. The facilities provided in the safe homes are also examined. The study is based on the safe homes in three police ranges: Ambala, Hisar and Karnal in Haryana state, where ten safe homes are functioning in ten districts.

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Runaway couples, safe home, police protection, marriage, court

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It is unexpected to express that even in 21st hundred years, more than 33% of the complete populace in immature nations are as yet barred from the financial administration's ambit. Many examinations concentrates on led toward this path derive that, bringing those monetarily rejected populace, under the financial ambit, results in not just individual government assistance and results in friendly government assistance as well. Beginning around 2010, the G-20 nations and the World Bank have driven the drive for expanded monetary consideration in agricultural nations to assist with diminishing destitution levels in creating and arising economies (GPFI, 2010). Today, the importance of advanced finance and monetary consideration for neediness decrease and Financial Stability.is drawing in higher consideration of strategy creators and academicians, principally in view of the quantity of issues that continue in the regular financial framework, due to which an enormous fragment of populace are unserved, which, whenever tended to can make computerized finance turn out better for people, organizations, states and the economy. Digital currency and portable innovation can provide food the requirements of little exchange at a reasonable expense. It can likewise assist in lessening with timing, all the more precisely and make quicker exchanges in mass. Digital currency and monetary incorporation bring complex advantages to monetary administration clients, computerized finance suppliers, states and the economy like expanding admittance to fund among unfortunate people, decreasing the expense of monetary intermediation for banks and Fintech suppliers and expanding total consumption for state run administrations. One region where the dissimilarity is very inescapable and is getting expanded consideration is Digital Finance incorporation, monetary information incorporation and advanced finance. The connection among these and the issues they present for Financial Inclusion stand out enough to be noticed in the past. Consequently, this study looks at the effect of Digital Finance for Financial literacy and monetary framework strength. This examination article gives a point by point conversation on Digital finance and investigates the effect of advanced finance for monetary incorporation and monetary framework dependability - an issue which has not been tended to in the previous examinations.

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Digital Finance, Financial Inclusion, Financial literacy, Financial Stability

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Day by day, there are different types of intelligent systems are introduced with the improvement in technology. Everything is getting more intelligible and stylish. There is a growth in the demand of cutting edge technology and also smart electronic systems. In the proposed systems, microcontroller plays a vital role in the smart systems development. Micro controllers have become an essential part in the preset technologies that are being presented daily. This article discusses temperature based fan speed controller. This system is used to control the speed of the fan automatically based on the room temperature. The system uses an Arduino board to implement a control system Since this system is proposed to control the fan and is very important to know Arduino controlled system well. The study was conducted with the design and manufacture of Automatic Fan Control System.

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Arduino:DTH11:Fan

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This study investigates the impact of Cognitive Behavioral Therapy (CBT) on students' academic performance and self-esteem. The research explores how CBT techniques address cognitive distortions, improve self-regulation, and promote positive behavioral patterns, contributing to enhanced learning outcomes and increased self-confidence. Through a mixed-methods approach, combining quantitative analysis of academic performance data and qualitative insights from student feedback, the study demonstrates the potential of CBT as a valuable tool in educational settings.

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Cognitive Behavioral Therapy (CBT), academic performance, self-esteem, students, educational intervention, cognitive restructuring, emotional regulation, Rosenberg Self-Esteem Scale, mixed-methods research, goal-setting, stress management.

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Abstract: Cardiac arrest is a critical medical emergency associated with high morbidity and mortality. While traditionally considered a condition affecting older individuals, there is growing evidence of an increasing incidence of cardiac arrest among young adults. This systematic review aims to comprehensively examine the literature to elucidate the risk factors contributing to cardiac arrest in this demographic. Through a rigorous search and synthesis of available evidence, this review seeks to enhance our understanding of the unique risk profile of young adults and inform targeted preventive strategies. Introduction: Cardiac arrest poses a significant public health challenge, with profound implications for individuals, families, and healthcare systems. While cardiac arrest predominantly affects older adults, recent epidemiologic trends suggest a rising incidence among younger age groups. Understanding the risk factors associated with cardiac arrest in young adults is paramount for effective prevention and management. Methods: A systematic search of electronic worldwide databases PubMed (Medline), Cochrane Library (Central), and Google Scholar was conducted to identify relevant studies published up to March 2024. The search strategy employed a combination of keywords related to "cardiac arrest", "sudden cardiac arrest", "risk factors" and "young adults". Title abstract phrases, related keywords, and Boolean operators ('OR' and 'AND') were all used in conjunction with the 'Advanced' search choices. Results: A total of 573 studies met the inclusion criteria, due to duplication, 245 records were eliminated using Mendeley Desktop software. The identified risk factors for cardiac arrest in young adults encompassed a broad range of determinants, including modifiable lifestyle factors, underlying cardiovascular conditions, genetic predisposition, and environmental influences. Modifiable risk factors such as obesity, smoking, physical inactivity, and substance abuse emerged as prominent contributors to cardiac arrest risk in this population. Predisposing factors such as inherited cardiac conditions, structural heart abnormalities, and acquired cardiac disorders were significantly identified. The titles and abstracts of the remaining 328 studies were reviewed based on the eligibility criteria. Following the initial scanning, 123 records were rejected as not satisfying the inclusion requirements. Environmental factors, including air pollution and socioeconomic status, also played a role in shaping the risk profile of young adults. The remaining 205 full-text papers were reviewed and from these articles, 196 articles were removed for the reasons. Additionally, excluded studies were scanned for any possible neglect. Total of 08 studies were included in the qualitative analysis (systematic review). Conclusion: This systematic review provides valuable insights into the risk factors contributing to cardiac arrest in young adults offering a foundation for evidence-based preventive measures. By addressing modifiable risk factors, enhancing genetic screening efforts, and promoting cardiovascular health awareness, healthcare providers can work towards reducing the incidence of cardiac arrest and improving outcomes in this vulnerable population.

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cardiac arrest, risk factors, systematic review, young adults, preventive measures

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