Volume 12 | Issue 12

 Abstract

Abstract Indian societies particularly Kerala society was marked for the existence of a rigid caste system. People were bound together by the caste rules and violating it leads to caste ostracism. Brahmins of Kerala who were generally called by the name Namboodiris, were the strict followers of their caste rules and these rules pulled them behind in the society, with the introduction of English education. A group of young people emerged among from them to work for the community reforms and established Yogakshemasabha to impart the importance of English education and to gradually bring an upliftment in their life.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Namboodiri, Yogakshemasabha, English Education, V T Bhattathirippad, Yuvajanasangham

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Biosimilars are officially approved versions of original biopharmaceutical products whose patents have expired. The first generation of biopharmaceutical products, developed using recombinant technologies, was introduced in the 1980s and are now approaching patent expiration. Biologics are produced by cultured cells or whole organisms, which naturally results in more variability compared to chemical synthesis methods As a result, unlike generic pharmaceuticals, it is not possible to create an identical copy of an innovator product. Biosimilars are approved based on the same rigorous standards of pharmaceutical quality, safety, and efficacy that apply to all biological medicines. In the coming decades, biosimilar drugs are expected to surpass small molecule pharmaceuticals. The uptake of biosimilars is expected to keep growing as new blockbuster biological drugs continue to enter the pharmaceutical market. This review discusses the current trends and future prospects of biosimilars.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biosimilar, Biologics, Reference product, follow on biologics, Biopharmaceutical, Innovator biopharmaceutical product

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fagonia Shweinfurthii Hadidi is a part of Zygophyllaceae family, has grabbed considerable attention due to its therapeutic potential. This review outlines the pharmacological activity, bioactive substances and possible therapeutic uses of Fagonia Shweinfurthii that can address many health issues. Fagonia is known for its various biological activities, such as anti-inflammatory, antioxidant, antimicrobial, antidiabetic and anticancer properties. Flavonoids, terpenoids and alkaloids are its main active ingredients and they play main role in its therapeutic effectiveness. Fagonia Shweinfurthii Hadidi has also shown protective action against liver harm, heart diseases and neurodegenerative disorders. Even though various researches are going on, the mechanism behind its therapeutic effects is not properly known, it will require additional studies on its pharmacokinetics, safety profiles and clinical efficacy. This review highlights the pharmacological potential of Fagonia Shweinfurthii Hadidi and also encourage its investigation as a source for new natural products aimed for the creation of future therapeutic approaches.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fagonia Shweinfurthii Hadidi, Dhamasa, Antioxidant Activity, Phytochemical, Anti-inflammatory

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper seeks to elucidate the concept of the centre and its broader implications. It critically examines the intricate architecture of the colonial education system and its pervasive impact on the current postcolonial global order. The analysis extends to the roles of culture and language in fostering the continuity and evolution of civilisations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Centrism, The Global South, Cultural identity, Christianity, Ngugi wa Thiong'o, Ethnicities, Neo-Colonialism

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The admissibility of electronic evidence in Indian courts has become a critical issue in the age of digital communication and technological advancement. With the increasing reliance on electronic records for both criminal and civil cases, the Indian legal framework, primarily governed by the Information Technology Act, 2000 and the Indian Evidence Act, 1872, has undergone significant reforms. Specifically, Section 65B of the Indian Evidence Act, inserted by the IT Act, 2000, establishes the conditions under which electronic records may be admissible as evidence in courts. However, despite these advancements, the application and interpretation of the legal provisions surrounding electronic evidence present numerous challenges. The paper explores the legal framework governing the admissibility of electronic records, examining both the requirements for the authenticity and reliability of digital evidence. The paper focuses on the procedural aspects of Section 65B, which mandates a certificate of authenticity from a responsible person involved in the creation or storage of the electronic record, but also highlights the complexities courts face in ensuring its compliance. It critically analyzes key judicial decisions, such as State (NCT of Delhi) v. Navjot Sandhu, which dealt with the admissibility of electronic evidence in the context of terrorism-related cases and established important precedents. The analysis further identifies challenges related to digital forensics, particularly in ensuring the integrity and preservation of electronic evidence, as well as issues regarding the chain of custody and the vulnerability of digital records to tampering or manipulation. Moreover, the paper delves into emerging challenges such as the admissibility of social media content, email evidence, and metadata in criminal and civil proceedings. Given the rapid evolution of technology, the legal framework in India must be continually updated to address new forms of digital evidence and prevent abuse or misuse. Finally, the paper provides recommendations for improving the admissibility standards and the overall judicial approach to electronic evidence in Indian courts.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electronic Evidence, Admissibility, Indian Evidence Act, Section 65B, Digital Forensics

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study makes an attempt at exploring the role of teacher feedback in enhancing students' academic performance, confidence, and motivation, with a focus on undergraduate education in Nagaland. Through the use of a structured questionnaire, the study has conducted a survey with 60 student respondents from both government and private colleges in Kohima, Dimapur and Pfutsero, administered online for convenience. The study has found that the feedback practices are inadequate though the students' perceive that there would be positive impact of feedback on their academic growth. The study makes a call for teacher training programs and policy reforms to prioritize effective feedback. It is an attempt at highlighting the paramount importance of teacher feedback in fostering a supportive and substantial learning environment for students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Teacher Feedback, Student Confidence, Motivation and Academic Engagement

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cancer remains a major global health concern characterized by the uncontrolled growth and spread of abnormal cells. Early detection is essential for improving survival rates, prompting advancements in diagnostic technologies. Traditional methods such as imaging, biopsies, and laboratory tests, while foundational, face limitations in sensitivity, particularly for early-stage cancers. Recent breakthroughs include advanced imaging techniques like Positron Emission Tomography (PET), Computed Tomography (CT), and Magnetic Resonance Imaging (MRI), which provide precise insights into tumour anatomy and metabolic activity. Molecular diagnostics, including multi-parameter flow cytometry, synthetic biomarkers, and liquid biopsy, enhance early detection by identifying specific tumour markers in blood or tissues. Nanotechnology, with tools like gold nanoparticles and quantum dots, improves sensitivity for biomarker detection and imaging. Additionally, artificial intelligence (AI) revolutionizes diagnostics by automating imaging analysis, improving accuracy, and facilitating early-stage cancer detection in breast and colorectal cancers. Emerging tools such as microfluidic technology, exosome analysis, and circulating tumour DNA (ctDNA) monitoring further refine early cancer diagnosis and prognosis. These advancements enable non-invasive, highly sensitive detection methods, improving personalized treatment strategies, disease monitoring, and overall patient outcomes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Types of cancer, Cancer screening, Treatment, Early cancer diagnosis, advancement

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's rapidly evolving business landscape, organizations increasingly rely on advanced analytics and business intelligence (BI) tools to enhance strategic decision-making. This paper explores the transformative potential of predictive and prescriptive analytics in guiding enterprises toward informed choices. Predictive analytics leverages historical data and statistical algorithms to forecast future outcomes, enabling businesses to anticipate market trends, customer behaviour's, and operational challenges. Meanwhile, prescriptive analytics takes a step further by recommending actionable strategies based on predictive insights, optimizing resources and enhancing performance. By integrating these analytical approaches, organizations can cultivate a data-driven culture that promotes agility and innovation. This paper discusses case studies illustrating successful implementations of these tools across various industries, highlighting key benefits such as improved forecasting accuracy, enhanced risk management, and increased competitive advantage. Furthermore, it addresses challenges related to data quality, integration, and the need for skilled personnel, offering insights into best practices for overcoming these obstacles. Ultimately, this research underscores the critical role of advanced analytics and BI in shaping strategic initiatives and driving sustainable growth in modern enterprises.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Market Business Analytics and Strategic Planning: Leveraging 21st Century Techniques for Informed Decision Making

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AI-driven cloud infrastructures have transformed computational environments by providing scalable, flexible, and efficient solutions for handling complex workloads. Nonetheless, resource management in these systems is a considerable problem owing to fluctuating workload requirements, budget limitations, and performance optimization compromises. This research presents an innovative multi-objective framework that combines reinforcement learning with advanced optimization methods to tackle these difficulties. The system allocates resources dynamically by optimizing performance, cost efficiency, and energy consumption, hence ensuring scalability and adaptation to various workload conditions. Experimental assessments illustrate the framework's capacity to sustain elevated performance and cost-effectiveness while reducing response times and energy consumption. The findings underscore the framework's applicability in practical scenarios, encompassing IoT analytics, AI model training, and edge computing. This study establishes a solid basis for future progress in intelligent resource management inside cloud-based systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-driven Cloud, Resource Management, Multi-objective Optimization, Cost Efficiency, Performance Optimization.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The introduction of multi-core architectures has greatly increased processing capacity, but it has also brought with it the need for real-time system scheduling. Conventional scheduling algorithms frequently can't handle these complexity effectively. In order to create sophisticated real-time scheduling algorithms for multi-core systems, this research investigates the application of machine learning techniques. Our goal is to maximize resource utilization and job scheduling to meet real-time restrictions by utilizing machine learning's predictive and adaptive capabilities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real-Time Scheduling Algorithms, Multi-Core Architectures, Machine Learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence is transforming the landscape of Human Resource Management (HRM), altering conventional methods and elevating the recruitment process for companies. The traditional hiring process can be extremely time-consuming, frequently taking weeks to go through every application. Because they have to go through a large number of resumes, recruiters may find this procedure intimidating. By quickly sorting through a huge number of applications, finding the best individuals, and offering succinct summaries of their qualifications, artificial intelligence (AI) helps to expedite this process. In addition to saving time, this enables recruiters to focus on enhancing the applicant experience and drawing in top talent. Because AI works around the clock, the hiring process is always ongoing and efficient, even when recruiters are not on duty. Additionally, AI can lessen bias by emphasizing relevant experiences and talents above individual prejudices, which, when applied properly, can lead to more equal employment decisions. In order to lessen unconscious prejudice during initial screening, AI systems employ objective data and predetermined criteria, as this paper examines. This method makes sure that applicants are judged on their qualifications and merits rather than on personal traits.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI's role in hiring,its capacity to lessen bias in hiring, AI's Benefits and Drawbacks for Hiring, Literature Reviews, and Ethical Issues Framework for AI Risk.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Public expenditure policy is crucial for promoting inclusive growth, impacting economic growth, reducing poverty and income distribution in both short and long-term terms. Social spending provides a minimum income level and increases access to public services. In the short run, public spending on cash transfers reduces income inequality and poverty. In the long run, these transfers can be growth-enhancing and improve distributional outcomes. Spending on education and healthcare services improves quality of life and social mobility, potentially leading to greater equality in social outcomes. Public expenditure also contributes towards economic growth and social development through multiple channels for example investments in agricultural and industrial infrastructure creates backward and forward links and leads to employment opportunities. This paper is to analysed the impact of public expenditure on agricultural productivity and economic growth of Himachal Pradesh. This study includes the impact of public expenditure on crop husbandry, soil and water conservation, animal husbandry, fisheries, forestry and wild life food storage and warehousing, co-operation and gross domestic product (GDP) as indicator of agricultural productivity. ADF Unit Root Test, Correlation and Regression techniques have been applied. Public expenditure on food storage and warehousing had a positive and significant impact on economic growth. This results in insufficient increases in sectoral production which makes it difficult to predict future values of gross state domestic product and economic growth of Himachal Pradesh due to poor resource allocation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Public Expenditure, Production, Productivity, Correlation, Regression

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the pharmaceutical sector, Quality by Design (QbD) is a revolutionary strategy that emphasizes a proactive, scientifically grounded approach to guaranteeing product quality. Designing quality into the product from the very beginning of development is the main goal of QbD, in contrast to traditional approaches that depend on end-product testing. With the support of important regulatory agencies like the FDA and the International Council for Harmonization (ICH), this methodical approach guarantees adherence to strict quality requirements. In order to start the QbD process, a Quality Target Product Profile (QTPP) that outlines the performance criteria and desirable product attributes must be created. Critical Quality Attributes (CQAs) are the physical, chemical, biological, and microbiological characteristics that need to be managed to guarantee that the product fulfills the quality criteria that are intended. Critical Process Parameters (CPPs) and Critical Material Attributes (CMAs), which affect the CQAs, are identified in order to accomplish this control. QbD enables the development of a strong control strategy by utilizing sophisticated statistical tools, risk management strategies, and a deep comprehension of the manufacturing process. By reducing variability and guaranteeing constant product quality, this approach improves production processes, lowers the chance of batch failures, and reduces recalls. There are several advantages to using QbD into pharmaceutical development, such as increased overall efficiency, better product quality, and improved regulatory compliance. It supports the industry's transition to more creative, patient-centered methods, guaranteeing that the end result is not only the best in terms of quality but also safe and effective. In conclusion, Quality by Design is a progressive, all-encompassing strategy that alters the development and production of pharmaceutical goods by placing an emphasis on quality across the entire process.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Quality by Design, QTPP, CQAs, Design Space, Control Strategy, CMAs, CPPs, Risk Management.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present consumer buying behavior towards instant food products was carried in Erode District with the key objective of analyzing the factors influencing the consumer to buy instant foods and awareness level concerning instant food products among consumers. Convenient sampling method had been used to collect responses from samples. This study found that 97.7% of consumers aware about sweet and snacks instant mix and 31% of the consumers like the instant food because of easier to prepare. The study suggested that advertisement in rural area is a major source to create awareness and use some sales promotional measures to increase the buying behaviour of the instant food mix.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Behaviour, Awareness, Consumer, Perception, Instant food.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The goal of the study is to assess how wages and salaries are administered. Wages and salaries are crucial considerations for all employees, and it benefits the company to understand how motivated employees are by their pay and how satisfied they are with it. Each employee's incentive will result in improved performance, which benefits the firm and its personnel. The administration of wages and salaries is used to research the organization's various pay and compensation fixing policies. In order to enhance their working abilities, the study also aims to evaluate the organization's practical wage and salary management practices in their workplace.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

wages, salary, employee, motivation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Automated systems for stress recognition and emotion detection leveraging electroencephalography (EEG) signals have emerged as cutting-edge tools in advancing mental health research and applications. This review offers an in-depth exploration of EEG-based technologies, shedding light on their foundational principles, methodologies, and practical implementations for interpreting stress and emotional states. Starting with an examination of EEG signal acquisition and preprocessing techniques, it delves into the neural dynamics linked to stress and emotions, with a focus on identifying critical EEG biomarkers. The discussion extends to include various machine learning and deep learning strategies for feature extraction and classification, highlighting their effectiveness in real-time detection scenarios. Furthermore, the review underscores the diverse applications of these technologies, ranging from healthcare and therapeutic interventions to human-computer interaction, demonstrating their potential to improve well-being and enhance user experiences. Key challenges, including signal artifacts, individual variability, and system reliability, are also critically examined. The review concludes by exploring future research directions, advocating for interdisciplinary collaborations and technological innovations to overcome existing limitations and drive progress in the field. This comprehensive overview serves as a valuable resource for researchers, developers, and practitioners, offering insights into the rapidly evolving domain of EEG-based stress and emotion detection systems and inspiring advancements to support mental health and human-machine synergy

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

EEG, stress recognition, emotion detection, automated systems, mental health, neural machine learning, deep learning, real-time detection, challenges.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the contemporary business landscape, eco-friendly strategies are essential for corporate success and environmental sustainability. This paper investigates the implementation, impact, and challenges of sustainable practices in modern corporations. With rising environmental concerns, companies are adopting green strategies to reduce their carbon footprint, enhance brand value, and comply with global regulations. The study highlights renewable resource utilization, waste management innovations, and carbon emission reduction as pivotal elements of eco-friendly practices. Through qualitative analysis of industry reports and case studies, the research reveals that sustainable strategies not only mitigate environmental risks but also foster long-term profitability and competitiveness. By integrating sustainability into their core operations, organizations position themselves as leaders in a rapidly evolving global market. This paper concludes with actionable insights for businesses aiming to align with environmental goals while maintaining economic viability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Eco-Friendly Strategies, Corporate Sustainability, Renewable Resources, Carbon Emission Reduction, Circular Economy, Green Supply Chain, Environmental Governance, Digital Transformation in Sustainability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Delays in transportation infrastructure projects are a significant challenge in India, adversely affecting economic growth and development. This study aims to investigate the key factors contributing to project delays in the Indian context, including technical, financial, regulatory, and managerial issues. The research employs a mixed-methods approach, combining quantitative data from case studies of delayed projects and qualitative insights from interviews with industry experts, government officials, and contractors. Key findings indicate that delays are often caused by land acquisition disputes, environmental clearance bottlenecks, lack of coordination between stakeholders, inadequate project planning, and financial mismanagement. Additionally, external factors such as adverse weather conditions and unexpected geological challenges exacerbate delays. The study highlights the need for adopting integrated project management practices, streamlining regulatory processes, and leveraging advanced technologies such as Building Information Modeling (BIM) to mitigate delays. By addressing these issues, India can enhance the efficiency of its transportation infrastructure projects and accelerate the country's economic progress.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Resource Management, Construction, High Rise Building, Material management

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Covid-19 and many hazardous diseases calls for immunity boosters especially among children and the young generation. Any diseases may be fatal to child only if there immunity level is low or compromised. For such purpose Ayurvedic preparations are only safer and side effect less need to build immunity naturally. Swarna Prashan is a safe ayurvedic combination that is beneficial for the normal growth and development of a child. Swarna Prashan is introducing Swarna alone or along with herbs in the liquid form as an oral immunization to children. Swarna Prashan is one of the kiyakrma included in the Jatakarma samskaras in Ayurveda. Swarna Prashan is initiated from infancy till Adolescence. To review the components of swarnaprashna, clinical trials, and evidence of benefits for children. Ayurveda has deep roots for the Current and old method of introduction of Swarnaprashna among children below 16 years of age group in India. Overall results of all studies showed improved growth and development after the introduction of Swarna Prashan within a year without any side effects and a happy childhood which shows not only health but also wellbeing by positive effects on physical, Psychological as well as mental and spiritual health .

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ayurveda,Suvarnaprashan, Pushyanakshatra, Immunity, Physical growth.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a novel application of transportation problems and network flow optimization to improve loan processing efficiency in the banking industry. We model the loan processing system as a network, where banks act as supply nodes, agencies as demand nodes, and loan processing paths as arcs. The transportation problem is formulated to minimize processing costs. Additionally, network flow optimization is applied to minimizing processing time. Our results demonstrate the effectiveness of these optimization techniques in enhancing the efficiency of loan processing networks. The proposed approach can be applied to various industries with complex processing networks, leading to improved productivity and competitiveness.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transportation problem, network flow, optimization, banking industry, process improvement.

  License

Creative Commons Attribution 4.0 and The Open Definition