Global Research Society Publisher

GRS Journal of Multidisciplinary Research and Studies

All Issues

1. ADSORPTION FOR CARBON SEQUESTRATION – A CONCISE REVIEW
6

Lakhayar Amer Al-Amri, Sharifa...
College of Engineering and Technology, University of Technology and Applied Sciences, Salalah, Oman
1-7
https://doi.org/10.5281/zenodo.14993633

The increasing concentration of carbon dioxide (CO₂) in the atmosphere due to human activities is a major contributor to global climate change. As a result, effective carbon sequestration strategies are crucial for mitigating the impacts of climate change. Among various techniques, adsorption has emerged as a promising method for CO₂ capture and sequestration. This review provides a comprehensive overview of adsorption-based technologies for carbon sequestration, focusing on the materials used, adsorption mechanisms, and key parameters influencing performance. Adsorbents such as activated carbon, metal-organic frameworks (MOFs), zeolites, and biochar are examined for their efficiency, capacity, and regeneration capabilities. Additionally, the environmental and economic aspects of these materials are discussed in the context of their practical application. The review highlights the advantages and challenges associated with adsorption processes, offering insights into potential advancements and future directions for improving the efficiency of carbon sequestration.

2. Students’ Motivation and Academic Performance Via Ethnoscience Learnin...
7

Jackelyn M. Tomatao , Cherly C...
Department of Science Education, College of Education, Central Mindanao University, Philippines
8-13
https://doi.org/10.5281/zenodo.15044056

Ethnoscience learning instruction (ELI) translates available learning materials and uses indigenous language in delivering instruction offers a contextualized learning experience. This study examines the effects of ethnoscience learning instruction on the motivation and academic performance of Grade 7 students at Lilingayon National High School. Specifically, it aimed to: determine the level of students’ motivation as exposed to ELI and to non-ELI; assess the level of students’ academic performance as exposed to ELI and to non-ELI; determine if there is a significant difference in student’s level of motivation as exposed to ELI and to non-ELI; and ascertain if there is a significant difference in student’s level of academic performance exposed to ethnoscience and non-ethnoscience learning instruction. A quasi-experimental research design was employed in the study. The Student’s Motivation Towards Science Learning (SMTSL) questionnaire and a standardized Summative test of the Department of Education 2022 was used to assess the students’ motivation and academic performance respectively. ANCOVA was used to test significant differences between two groups. Findings of the study revealed that the student’s level of motivation as exposed to ELI and non-ELI as very highly motivated and highly motivated respectively. The level of students’ academic performance as exposed to ELI is outstanding and to non-ELI is satisfactory. A significant difference on the levels of motivation in terms of self-efficacy, active learning strategy, performance goal, achievement goal and learning environment stimulation was noted between the ELI and non-ELI, furthermore, there is a significant difference on the levels of academic performance of ELI and non-ELI showing that ELI instruction is effective in improving motivation and academic performance.

3. Towards Solving NP-Complete and other Hard Problems Efficiently in Pra...
1

Mircea-Adrian Digulescu
University of Bucharest
14-37
https://doi.org/10.5281/zenodo.15044072

Until now, Computer Scientists have concerned themselves with identifying efficient algorithms for solving the general case of some problem – that is finding one which performs well when the size of the input tends to infinity. However, this is the precise opposite of what is actually needed in practice. Effectively solving some real-world problem entails identifying an algorithm which works well for all (or some) inputs up to some fixed upper bound dictated by the concrete practical application. Such an algorithm may be distinct from the one which solves the general case. Furthermore, a general case algorithm may not exist at all or finding it might prove painstakingly hard for the human mind. Fortunately, in practice all that is needed is one which works on the finite cases involved in the real world situations, not one which can, unaltered, solve any input correctly. In this paper, we first introduce a theoretical framework for reasoning about finite algorithmics. It allows familiar concepts such as asymptotic complexity to be adapted to the case where the input size is bounded from above. We also present some elementary results within this theory. Secondly, we present a generic approach for automatically discovering an adequate algorithm for the finite case of some hard problem – if one exists. Thirdly, we argue why we expect the finite case of hard problems to be easier than the general case. Fourthly, we present some relevant ideas specific to three hard problems, namely 3CNF-SAT, String Compression and Integer Factorization. Fifthly, we discuss the significance of the theory and methods introduced in this paper – noting among other things that they can be used to automatically determine that either (i) P = NP, (ii) P <> NP or (iii) we don’t really care about the distinction for practical purposes. Finally, we present four directions for immediate further research and formulate an open question which, when answered will, for all practical purposes, decide P=NP. Enhancing the way Computer Scientists reason about hard problems is ultimately the single most important contribution we claim for this paper.

4. GEOPOLITICAL TENSIONS IN THE ARCTIC CIRCLE: ANALYZING THE ROLE OF ARCT...
6

Robin Sutradhar, Mitali Sutrad...
Masters from National Research University Of Nizhny Novgorod
35-41
https://doi.org/10.5281/zenodo.15041339

Arctic circle has become a focal point of geopolitical competition due to climate change, resource exploitation and emerging strategic interests. Arctic Nations- Russia, United States, Canada, Denmark and Norway are actively competing on regional claims, military dominance and economic occasions. Meanwhile, non-Arctic states such as China, India and Bangladesh are expanding their participation due to economic, environmental and strategic concerns. This study examines the underlying geopolitical stresses, evaluates policies of the Arctic and non-Arctic states, and assesses economic and security implications. Using a qualitative research approach, this paper highlights how Arctic geo -strategy can change the dynamics of global power.

5. Assessment of Undernutrition in Relation to Protein Intake under 5 yea...
11

Raisa Mehzabin, Quamrun Nahar.
Msc, Government College of Applied Human Science, University of Dhaka.
42-64
https://doi.org/10.5281/zenodo.15053005

A number of factors influence linear growth, and one of the main causes of stunted growth in children is malnutrition. Finding the food intakes linked to stunting in the area of Mohammadpur, Dhaka, preschoolers was the aim of this study. To gain insights into children’s eating habits and the role of parental involvement in their growth in Bangladesh, this project will conduct interviews with parents and preschool-aged children. The aim is to predict which food habits may hinder growth in the near future and identify the underlying reasons behind them. By interviewing parents, valuable information about the dietary practices and food choices made within the household will be found. This includes understanding the types of foods provided to children, mealtime routines, and the strategies parents employ to encourage healthy eating. Additionally, the interviews will explore the factors that influence parents decisions regarding food, such as cultural traditions, economic constraints, and knowledge about nutrition. Furthermore, engaging directly with preschool-aged children will be enabled to gain insights into their food preferences, attitudes towards different foods, and their experiences during mealtimes. This can help identify any specific challenges or barriers that children may face when it comes to consuming nutritious foods. Through this comprehensive approach, the project aims to make predictions about which food habits may negatively impact children’s growth in the near future. By analyzing the gathered data, it can be identified patterns and trends in the children’s eating habits that may contribute to poor growth outcomes. For example, they may uncover patterns of limited vegetable intake, excessive consumption of processed foods, or inconsistent mealtime routines. Ultimately, this research aims to contribute to improved nutrition and overall growth outcomes for preschool-aged children. The results highlight the need for focused public health initiatives and community-based education programs that prioritize mothers' education on nutrition and health, as well as the provision of socioeconomic resources to help mothers meet their children's nutritional needs and avoid malnutrition. The current annual average rate of reduction is 2.7%, and this will need to be increased to 3.3% to achieve the target. This is not a phenomenal increase compared with the current rate of reduction, but it will require concerted planning and efforts. From an economic perspective, the cost to Bangladesh of not investing in accelerating this reduction will be huge in terms of lost gross domestic product and income. From a health perspective, it is essential to improve linear growth of children so that the negative effects of excess ponderal growth and resulting overweight and obesity are attenuated.





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