Volume 12 | Issue 12 |

 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