Turkish Journal of Computer and Mathematics Education (TURCOMAT)
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WEB APPLICATION FOR HEALTH MONITORING THROUGH ACTIVE BREAKS IN THE UNIVERSITY SETTING
No full textThis article explores the importance of active breaks as a strategy to counteract sedentary behavior and improve physical and emotional health in the university environment. The proposal includes the design of a web application that sends automatic reminders to students, faculty, and administrative staff to take active breaks.
The application will offer personalized recommendations on activities that can be performed during these breaks, encouraging healthy habits and promoting overall well-being. This approach seeks to reduce the risks associated with prolonged inactivity, such as musculoskeletal injuries, stress, and fatigue, while improving productivity and morale in the university setting.
The proposal combines technology, ergonomics, and occupational health to offer an innovative and accessible solution
BUILDING A DYNAMIC CROPPING TREND VISUALIZATION SOFTWARE TO ASSESS FARMING PROGRESSIVENESS
No full textThis thesis presents a comprehensive study that unfolds in two key dimensions. Firstly, a novel cropping trend visualization software was developed, aiming to provide a dynamic and insightful tool for assessing farming progressiveness. This software, a product of meticulous design and implementation, serves as an innovative instrument for visualizing and analyzing cropping trends in agriculture. In the second part of the study, the software was utilized to gather descriptive and inferential statistical data from a sample of 111 farmers. The data analysis reveals noteworthy correlations between specific agricultural practices and farming progressiveness. Key findings indicate significant positive associations between technology adoption, climate adaptation, crop variety diversity, and environmentally sustainable practices with higher levels of farming progressiveness. While certain trends exhibit statistical significance, caution is advised in drawing robust conclusions for factors with limited statistical support. These empirical insights provide a valuable foundation for policymakers, agricultural extension services, and stakeholders to strategically promote practices that enhance the overall progressiveness of farmers. The dual contribution of the developed software and the derived insights from its application underscores the significance of integrating technology in advancing sustainable and progressive agricultural practices
A COMPREHENSIVE SURVEY OF MEMORY UPDATE MECHANISMS FOR CONTINUAL LEARNING ON TEXT DATASETS
No full textOver the last several years, there has been a growing focus on the CL field in the context of machine learning and its goal to create models capable of learning new tasks step by step without loss of prior knowledge. Among these, catastrophic forgetting is especially challenging in real-world settings where the data experience changes over time. To this effect, what has become pivotal for models is mechanisms for memory update to enable the models to learn information as well as update what has been previously learned easily. This survey specifically investigates the memory update strategy in the continual learning setup wherein new categories and domains are continuously added in the text datasets including sentiment analysis, named entity recognition, text classification tasks etc. Moving on, three primary memory update strategies of memory replay, memory consolidation, and parameter isolation are discussed; this paper further addresses certain adaptations of the proposed methods for text-based applications. Memory replay means that part of previous data is stored to be replayed when new tasks are learned while memory consolidation strengthens only significant memories. Parameter isolation helps avoid masking previous tasks or overwriting the parameters when the machine learning algorithm is trained to accomplish new tasks. In this paper, we discuss the latest in these techniques and offer a thorough insight into their use in text datasets such as Amazon Reviews and Yelp Reviews. Further, we outline the primary drawbacks of existing solutions for memory updates such as capacity limitations, domain variation, and continually learning without having access to new task information. In addition, a summary table of literature review identifying the most relevant works within the field is offered. Lastly, we discuss the remaining issues and potential research directions where more focus and development should be given in CL for text data by noting the importance of efficient and adaptive update policies towards the memory
Extension of Connecting Formulas on Hypergeometric Function
No full textThe Hypergeometric series is the extension of the geometric series and the Confluent Hypergeometric Function is the solution of the Hypergeometric Differential Equation. Kummer has developed six solutions for the differential equation and twenty connecting formulas. The connecting formula consist of a solution expressed as the combination of two other solutions. Further extension was done by Poudel et al. This research work has extended the nine connecting formulas obtained by Poudel et al. to obtain the other nine solutions
Enhancing Portfolio Diversification: Linguistic Fuzzy and Absolute Difference Approaches to Stock Assignment for Varied Investor Risk Profiles
No full textMatching stocks to investors based on their risk preferences, like "high suitability" or "moderate risk," can be tricky in portfolio management. This study explores two new methods—the Linguistic Fuzzy Assignment Method (LFAM) and the Absolute Difference Calculation Algorithm (ADCA)—to improve how stocks are assigned across large-cap, mid-cap, and small-cap groups. Using a 6x6 cost matrix built from fuzzy linguistic ratings, these methods pair six stocks with six investors, each with distinct risk preferences. Both approaches produce the same optimal stock assignments, achieving a low total unsuitability score of 2.3875, which shows effective portfolio diversification. These results highlight the methods\u27 ability to handle uncertainty, providing useful insights for financial advisors.
MATLAB simulations further confirm the solutions\u27 reliability, indicating potential for use in fluctuating markets
Numerical method for simulating the model of using insecticide for the optimal control of mosquitoes for the eradication of malaria
No full textIn order to simulate the mathematical model of eliminating malaria by controlling the population of mosquitoes with insecticide and the insecticide\u27s residual effects, the study developed a four points hybrid block algorithm. The convergence and stability qualities of the block method are established. The block approach is applied after the variable control problems are generated using Pontryagin\u27s principle. The forward-backward sweep methods of the block method are applied. The method is then implemented using a computer code using MATLAB R2018a mathematical software. According to the findings of this study, the simulated result from this approach displayed a significantly lower number of mosquitoes while lessening the negative effects of the insecticide, which in turn will reduce the high rate of malaria spreading
TARIFFS, MARKET DYNAMICS, AND PROTECTING U.S. CONSUMERS: A CASE FOR STRATEGIC IMPORT POLICY
No full text This article analyzes the effect of tariffs on U.S. consumers by examining the possibility that tariffs could be “absorbed” along the supply chain and not passed through to the consumer in the form of higher prices. Country manufacturing and us seafood importing Data from Chinese manufacturers and US importers make clear that both foreign manufacturers and domestic importers have significant price flexibility that can help blunt the effect of tariffs. The study shows that Chinese firms frequently practice discriminatory pricing among destinations, that is, prices are adjusted in response to local competition and tariffs, which implies they have room to absorb the costs deriving from tariffs. Moreover, U.S. importers are discovered to hold large profit margins, indicating they have plenty of margins to accommodate tariffs without passing them on to American consumers. But the study also shows that without proper regulation, importers will opt to keep or increase their mark-up, rather than lower prices. This paper will suggest that tariffs should not automatically mean higher consumer prices and will describe a strategic approach to imports. The framework tabled by the Opposition involves price benchmarking, mandatory reporting of profit margins as well as mechanism for the importers to be compensated for absorbing the costs of the tariffs. Through use of these measures, the U.S will be able to protect national interests, promote domestic production and reduce the inflationary repercussions of tariffs on consumers. The results in this paper provide insights into the general implications of tariff dynamics, and provide policy recommendations that can be utilized by policy-makers to soften the impact of tariffs on U.S. households
A STUDY ON THE EMOTIONAL TRIGGERS OF TEACHERS IN TRAINING: MATHEMATICAL REDEMPTION
No full textThis article presents an exploratory study on the affective experiences of future teachers. It examines a population of primary school students who recount past negative emotions related to mathematics and either continue to experience negative emotions about teaching mathematics (absence of mathematical redemption) or develop positive emotions about teaching mathematics (mathematical redemption). The research aimed to identify the triggering situations that influence the desire for mathematical redemption, either fostering or hindering it. In this study, future teachers\u27 responses to the Teachers’ Attitude Toward Mathematics and Its Teaching (TAMT) test were analyzed using the Theory of Cognitive Structure of Emotions (OCC Theory). The study first identified the presence or absence of mathematical redemption and then explored causal connections between triggering situations and the desire for mathematical redemption
Research on the Mechanism of Involution from the Perspective of Supermodular Games
No full textBy constructing two-player and multi-player game models and incorporating strategic complementarity analysis from supermodular games, this paper reveals how individuals increase their effort levels to cope with competition, leading to overall system resource waste. On this basis, the paper further analyzes how different game parameters affect equilibrium stability, showing how involution gradually forms through dynamic game evolution, and validates the model through simulation experiments. The novelty of this paper lies in the first-time application of supermodular games to the study of involution, providing a new theoretical perspective and a detailed exploration of the formation mechanism of involution through multi-level game models and simulation experiments. Furthermore, this paper proposes policy recommendations to address involution, emphasizing the optimization of institutional design and adjustments to incentive mechanisms to break the involution trap
The Figurative Language of the Indigenous Semai People of Lembah Jelai, Malaysia
No full textThis study aims to examine aspects of the figurative language of a sub-group of the Orang Asli of Malaysia, namely the Semai people, living in Lembah Jelai, Pahang, Malaysia. This qualitative study was based on a semi-structured interview method involving five native speakers of the Semai language. The researchers used an adapted version of the cognitive-linguistic framework of Lakoff and Johnson (1980) to analyze the interview data. The findings showed that most of the figurative expressions used in their language were primarily based on natural and cultural elements that heavily influenced the way they led their lives. In particular, the findings showed that the Semai community used figurative expressions in their conversations not only to articulate their feelings and thoughts but also to serve as unwritten social guidelines. Overall, these findings indicate that indigenous communities living in far remote areas in jungles use figurative languages to guide their peoples in forging close kinships, in cementing strong societal bonds, and in dealing with the spiritual realm. The findings also provide greater insight into the understanding of the uniqueness of the figurative language of the Semai community, which is considered as a sub-language of the mainstream Malay language in the Malay Archipelago. Surely, such a language needs to be persevered to ensure it will continue to thrive among the younger generation of the Semai people, given its significant influence on the development of their emotions, thinking, and cultur