Browsing by Author "Gamage, J"

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Open Access
Evaluating the synergy: anxiety prevalence and alcohol consumption patterns in high-income countries using Granger causality analysis
(Springer Nature, 2025-01-20) Senarathne, B; Palliyaguru, D; Oshini, A; Gamage, J; Jayathilaka, R; Rajamanthri, L; Wickramarachchi, C
Background Alcohol consumption frequently experiences episodes of severe anxiety. This study set out to explore the long-term efects of alcohol consumption on anxiety, revealing insights into how alcohol consumption uniquely impact anxiety, aiming to inform mental health and public health approaches. This research paper explores the complex relationship between the prevalence of anxiety and the consumption patterns of wine, beer, and spirits across ffty-two high-income countries with a continental analysis. Method By employing signifcant secondary data taken from the World Health Organization and Our World in Data online databases and covering the period from 1990 to 2019, this study seeks to explore various causality relationships over this period. Its primary objective is to fll the empirical gap in existing research by using Granger causality analysis to reveal the dynamic relationships between the consumption of alcohol and the prevalence of anxiety. This study endeavours to provide a continental analysis of the high-income countries, which allows for including a comprehensive viewpoint in the context of a single investigation. Results The fndings demonstrate a variety of patterns of causality in alcohol consumption and anxiety prevalence in a one-way causal relationship across specifc continents, a bidirectional relationship in others, and no apparent causal relationship in several countries. Conclusion The inference made from the study’s results goes beyond scholarly curiosity; it establishes the foundation for further investigations and the development of customised policies aimed at reducing the mutually reinforcing dangers of alcohol consumption and anxiety disorders.
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Exact Solution for the Upper Minimal Total Cost Bound of Multi-Supplier Single-Buyer Interval Transportation Problem
(Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Gamage, J
Transporting a commodity from sources to destinations with minimal transportation cost is the main goal in all industries. In the literature, researchers have given considerable attention to find the total minimum transportation cost in fixed supply and fixed demand quantities. However, in the real-world supply, demand values will vary in a certain range due to the variation of the global economy. The number of combinations of supplies and demands rapidly increase in their respective ranges as the number of suppliers and buyers increases. To make better decisions on investments, it is useful to know the lower and the upper bounds of the minimal total costs in the interval transportation problem (ITP). However, no exact solution has been identified to obtain the upper bound of minimal transportation cost. In this research, a new algorithm has been developed to determine all the choices of supplies and demands in multi-supplier singlebuyer transportation problems. Based on the new method, the minimum transportation cost can be found for each combination that satisfies the fundamental theory of transportation problem (total supplies value ≥ demand value). Furthermore, the maximum cost as the upper minimal total cost bound can also be obtained. The new methodology is illustrated using real data. It is also shown that the proposed method is able to obtain the exact solution for the upper minimal total cost bound of multi-supplier single-buyer ITP.