Krishna University

Fiber-reinforced composites are advanced materials consisting of strong fibers embedded within a matrix. These materials offer properties such as high strength, durability, and low weight. These characteristics render them valuable in industries such as aerospace, automotive, and construction. This study highlights the importance of enhancing composite materials through research focused on performance, cost, and sustainability. Utilizing the Fuzzy TOPSIS method, various composite types—including CFRP, GFRP, AFRP, NFRP, and BFRP—were evaluated based on their strength, weight reduction capabilities, cost-effectiveness, and environmental impact. This method effectively handles uncertainty and ranks alternatives by comparing them against an ideal solution. The results indicate that Carbon Fiber Reinforced Polymer (CFRP) composites achieved the highest ranking due to their superior strength and lightweight properties. Conversely, Natural Fiber Reinforced Polymer (NFRP) composites received the lowest ranking, owing to their lower performance across key evaluation criteria.

Scientists are actively exploring eco-friendly options to synthetic fibers because of their persistent pollution problems. Natural fibers, derived from plants and animals like bamboo, hemp, jute, and oil palm, are emerging as viable replacements for synthetics in making biodegradable, lightweight composites with enhanced mechanical characteristics. Chemical modifications have the potential to improve these properties, and treatments can change the structure of fibers to enhance mechanical interlocking. This review explores the characteristics of these natural fibers and their possible uses to promote sustainability and economic viability. The environmentally friendly qualities, cost-effectiveness, superior life cycle, and lightweight attributes are propelling the adoption of natural fibers in cement-based composites. A research study utilizes experimental and finite element analysis to create a sustainable cementitious composite reinforced with natural fibers. The choice of materials is critical to avoid premature failures and associated losses. In this study, the WASPAS method is applied to choose the most suitable natural fiber for durable composites from a selection of eight options based on six criteria. The results indicate that Basalt is the preferred choice, followed by flax and cotton.

Emerging at the nexus of natural bio molecules and synthetic polymers, bio hybrid polymers are a promising class of materials with a wide range of uses and distinctive characteristics. An overview of the synthesis, properties, and uses of bio hybrid polymers is given in this paper, with a focus on the possible applications of these materials in the domains of materials science, environmental engineering, biotechnology, and biomedicine. Biohybrid polymers combine the best qualities of biological and synthetic components to provide enhanced mechanical strength, environmental sustainability, and biocompatibility. Methods including polymer conjugation, protein engineering, and bio fabrication are covered in the discussion of strategies for the design and creation of bio hybrid polymers. Additionally, the biological uses of biohybrid polymers are examined, demonstrating their adaptability and potential to enhance human health through the development of drug delivery systems, scaffolds for tissue engineering, and biomedical implants. Furthermore, the function of biohybrid polymers in environmentally remediation and sustainable materials is discussed, highlighting their potential to lessen reliance on fossil fuels and reduce pollution in the environment. Overall, this study highlights the importance of biohybrid polymers in developing technology and tackling global concerns by offering insights into the present status of research, obstacles, and future prospects in the sector.The successful QCM findings showed that this straightforward method ought to work with a range of sensor devices. Additionally, by using the fundamentals of metal ion-mediated supramolecular assembly formation, an effective biohybrid sensing interface can be developed with better linearity, response time, and signal intensity. This is because Cu(II) ion chelation with histidine groups increased the correlation coefficient from 0.8657 to 0.9056. For many years, efforts have been made to create composite microbiological or biohybrid materials that use whole microbial cells as catalytic centers.

Selecting conveyor equipment presents challenges due to the variety of types and manufacturers available. To tackle this, an expert system can be used for unbiased decision-making, quicker responses, and cost savings compared to human experts. The goal of this project is to use Level V Object to develop a prototype expert system for choosing industrial conveyors. The system assesses how well a conveyor satisfies material handling requirements and suggests conveyor solutions and vendors based on a suitability score. The Expected Value Criterion for making decisions in uncertain situations and the Weighted Evaluation Method are used to calculate this score. Through two industrial case studies, the prototype was validated. Six criteria are used to evaluate possible options in the conveyor selection process. An integrated approach for multi-criteria decision-making (MCDM) in conveyor evaluation and selection is presented in this work. The selection of conveyor equipment is crucial for material handling system design, impacting production efficiency and costs. Traditional selection methods often focus on quantifiable factors like cost and equipment performance, overlooking subjective considerations. This paper proposes a knowledge-based approach to conveyor equipment selection that systematically considers various factors, including both quantifiable and subjective criteria. Performance ratings are combined and decision-making is aided by the application of multi-criteria decision-making (MCDM) techniques. However, MCDM methods can struggle with fuzzy or uncertain data, which is common in conveyor selection. To address this, a multi-criteria integrated information axiom approach is proposed, incorporating criteria that may not be easily quantified.

Community-driven energy initiatives have gained prominence as a strategy to tackle energy-related issues and promote sustainable development while engaging local communities. This study employs the COPRAS (COmplex Proportional ASsessment) technique to assess the feasibility of community-based energy options in seven Indian states: Tamil Nadu, Kerala, Punjab, Karnataka, Haryana, Andhra Pradesh, and Arunachal Pradesh. The assessment focuses on six key factors: Economic advantages, Education and acceptance, Climate protection and sustainability, Community cohesion and self-empowerment, Renewable Energy (RE) generation targets, and Innovation. The results emphasize the diverse benefits of community-led energy projects across these states. In conclusion, the COPRAS-based evaluation highlights the manifold advantages of community energy projects in Tamil Nadu, Kerala, Punjab, Karnataka, Haryana, Andhra Pradesh, and Arunachal Pradesh. This research offers valuable insights for policymakers, stakeholders, and local communities, showcasing how community-based energy approaches can effectively address energy challenges while fostering economic growth, environmental sustainability, and community empowerment. Notably, Arunachal Pradesh ranks highest in community energy benefits, while Karnataka ranks lowest. These findings encourage further exploration and investment in community energy endeavors, offering a promising path towards a resilient and sustainable energy future.

The advent of precision medicine has marked a new Head and neck in cancer treatment, where therapeutic approaches are customized of each patient tumor individual genetics and molecular based on the characteristics. Standard practice now involves genomic profiling, which allows clinicians to pinpoint specific genetic mutations and alterations responsible for driving cancer growth. Armed with this information, targeted therapies can be chosen to disrupt these particular pathways. Additionally, liquid biopsies provide a noninvasive method for monitoring genetic changes over time, assisting in treatment adjustments and the identification of resistance mechanisms. The research significance lies not only in these individual advancements but in their synergistic integration. Comprehensively understanding the genomic landscape allows for the identification of actionable targets, which can then be exploited by targeted therapies. The interplay between genomics and immunotherapy, as well as the potential additive or synergistic effects of combined treatments, are areas of active investigation. Furthermore, the incorporation of personalized therapies into clinical practice represents a shift towards more individualized and effective treatment strategies. This is particularly crucial in head and neck cancer, where heterogeneity in tumor biology necessitates tailored approaches for optimal outcomes. As these advancements progress, ongoing clinical trials play a pivotal role in validating their efficacy, safety, and long-term impact on patient survival and quality of life. Personalized Medicine and Genomic Profiling, Public Health Initiatives and Prevention, Epidemiology and Risk Factors, Clinical Presentation and Diagnosis and Treatment Modalities. the DEMATEL-based ranking of Advancements in Personalized Therapies for Head and Neck Cancer, Personalized Medicine and Genomic Profiling secure the top position, while Clinical Presentation and Diagnosis obtain the lowest rank.

Rising infertility rates have emerged as a serious global health issue driven by a complex interplay of environmental, biological, and socioeconomic factors. There is growing evidence that environmental conditions play a significant role in influencing reproductive health outcomes. This study explores a wide range of environmental factors associated with infertility, including endocrine-disrupting chemicals, air and water pollution, altered lifestyle patterns, dietary habits, stress, and disparities in healthcare access. Both physical and chemical environmental stressors are considered, highlighting their cumulative and interconnected effects on human fertility. Understanding these environmental impacts is crucial for developing effective interventions aimed at reducing infertility and improving reproductive health at both individual and population levels. Infertility not only affects physical health but also has significant psychological, emotional, and social consequences for individuals and couples, underscoring the need for holistic and preventive approaches. Furthermore, exploring the relationship between environmental factors and infertility supports global public health priorities and aligns with the United Nations Sustainable Development Goals, particularly those focusing on health, well-being, and sustainable development. To systematically assess the impact of environmental factors, the COPRAS-G (Complex Proportional Assessment with Gray relations) decision-making method is employed. This approach helps in identifying key evaluation criteria, assessing alternatives under conflicting conditions, and determining overall performance. Five alternatives – Country A, Country B, Country C, Country D, and Country E – are evaluated based on pollution levels, stress levels, healthcare access, and dietary quality. Country A achieves the highest ranking, indicating the most favorable conditions for reproductive health, while Country C ranks the lowest. The findings emphasize the importance of environmental policies, regulatory frameworks, and targeted public health strategies in mitigating infertility risks and safeguarding reproductive well-being.

Practice Nursing, Nursing is a noble and essential profession that plays a pivotal role in the healthcare industry. It encompasses a wide range of responsibilities, from providing compassionate care to patients and their families to administering complex medical treatments and advocating for the wellbeing of individuals in times of vulnerability. Nurses are the backbone of healthcare, serving as the bridge between medical expertise and patient needs. In this paragraph, we will delve into the multifaceted nature of nursing practice, exploring the diverse roles nurses play in promoting health, preventing illness, and improving the quality of life for countless individuals. Evidence-Based Practice (EBP): Nursing research provides the foundation for evidence-based practice. EBP involves integrating the best available evidence from research, clinical expertise, and patient preferences to make informed decisions about patient care. By conducting and applying research findings, nurses can ensure that their practice is based on the latest scientific knowledge, leading to better patient outcomes. Improved Patient Care: Nursing research contributes to the development of innovative interventions, treatment protocols, and care practices that can lead to improved patient outcomes. For example, research can help identify more effective ways to manage chronic diseases, prevent infections, or promote patient safety in healthcare settings. Quality Improvement: Research in nursing helps identify areas in healthcare that may need improvement. By conducting studies and evaluating current practices, nurses can identify gaps and inefficiencies in care delivery and work towards quality improvement initiatives to enhance patient care quality and safety. The MOORA method, also known as Multi-Objective Optimization by Ratio Analysis, is a decision-making technique used to evaluate and rank multiple alternatives based on multiple criteria. the MOORA Method can be used to assess and rank different 3D animation software tools based on various criteria, such as animation capabilities, rendering speed, user-friendliness, graphic design features, video editing functionalities, and cost. The study would highlight how the MOORA Method aids in making well-informed decisions when choosing the most suitable 3D animation software for specific multimedia projects. Holistic Nursing, Integrative Nursing, Therapeutic Touch, Therapeutic Touch, Acupressure. Clinical Competence, Patient Outcomes, Communication Skills, Critical Thinking, Ethical and Legal Practice, Documentation. From the result it is seen that Critical Thinking is got the first rank where as is the Documentation. is having the lowest rank.

Power electronics converters play a crucial role in managing electrical power and are essential in various applications, such as actuator motor drives in the forthcoming generation of civil aircraft, these components are essential for transforming variable frequencies, which can range from 360 to 800 Hz, to maintain a reliable power supply with a consistent frequency. Feel free to let me know if you need further assistance or additional paraphrasing! According to experts, global air traffic is anticipated to experience significant growth, with some projections indicating a potential doubling of passenger numbers in numerous developing nations by the year 2035. The primary goal of this research paper is to carry out a thorough examination of the advanced technology utilized in power conversion for large-scale commercial transport air craft. It will explore the difficulties encountered, existing patterns, and potential areas for further research and advancement in this domain, presenting in-depth perspectives on each facet. The primary purpose of utilizing the Analytic Hierarchy Process (AHP) is to assign weights to various attributes, which are then Implemented within the frameworks of the Simple Additive Weighting (SAW) and Weighted Product Model (WPM) techniques for prioritizing flexibility in Flexible Manufacturing Systems (FMS), this approach integrates fuzzy logic to transform qualitative characteristics into quantitative measures. The evaluation involves the consideration of 15 factors to assess 15 different types of flexibility. Based on the adopted methodology, the study's findings reveal that among the 15 flexibilities analyzed, Product Flexibility holds the most significant influence, while Pro Flexibility demonstrates the least impact. Alternative is taken as VAHO1, VAHO6, VAH24. Evaluation Para meter is taken as cycle num, voltage, tem MS, T error. VAHO6 This article presents the application of Simple Additive Weighting (SAW) and Weighted Product Model (WPM) as decision-making methods for choosing the optimal network among visitor networks within the framework of vertical decision schemes. To identify the superior decision-making method between the two, an analysis is conducted using the relative standard deviation, which indicates that the WPM method outperforms SAW in this particular scenario.