Physical Sciences and Engineering

The article presents the Theory and Model of Mental Networks and their Taxonomy of Prof. Momchil Dobrev – 1991 with Mental Nodes, Mental Templates, Mental Procedures, Mental Processes - THE NEW PARADIGM and THE MODEL - THE UNITY of PEDAGOGY, DIDACTICS, Psychology, Neurophysiology and "Theory of Types of Consciousness and Levels of Consciousness at 12 Levels MODEL of Prof. Momchil Dobrev "– 1991 LEVELS OF CONSCIOUSNESS with the new goals of teaching how to think, LEARNING THROUGH LEARNING TO THINK, LEARNING THROUGH CONSCIOUSNESS and levels of CONSCIOUSNESS.

Advances in geomatics and computational astronomy enable rigorous quantitative analysis of potential terrestrial–celestial spatial correspondences. This study investigates whether summit-point distributions in the Bosnian Valley of the Pyramids exhibit statistically meaningful geometric similarities with the angular configuration of the Pleiades star cluster (M45).

The rapid development of artificial intelligence (AI) technology has revolutionized various industries, including supply chain management. This paper aims to explore the application of AI in the supply chain and how it has transformed traditional operations by improving efficiency, reducing costs, and optimising decision making process. Through an in-depth analysis of AI technologies such as machine learning, robotics and natural language processing., this study provides an extensive overview of their implementation across different stages of the supply chain.

TiAlN coated carbide tools prepared by arc ion deposition (AIP) can be applied to high-speed, full-dry and semi-dry cutting due to their high thermal oxidation resistance and high wear resistance and low friction coefficient, which can greatly increase productivity. To improve the adhesion strength of TiAlN films, a TiAl intermediate layer was introduced between the substrate and the TiAlNcoating, and the effect of the thickness of the intermediate layer on the adhesion strength of TiAlN films was simulated and experimentally verified.

This study aimed to evaluate students’ perspectives on the institutional support, training, and ethical use of AI tools in academia. Using a quantitative cross-sectional survey design, data were collected from 108 students across diverse academic disciplines, with a focus on their experiences and perceptions of AI tools. The study examined institutional resources, including workshops, written guidelines, and online resources, as well as students' preparedness and views on AI’s impact on academic productivity.

This study examined the organizational commitment of Bureau of Corrections officers at Iwahig Prison and Penal Farm in Puerto Princesa City, Palawan. It explored the relationship between work values, self-actualization, and job satisfaction, aiming to construct a structural equation model (SEM) to understand their collective influence on organizational commitment. The research design employed a quantitative, correlational approach, utilizing validated and pre-tested Likert-scale instruments to collect data from 522 officers through total enumeration sampling.

Cette étude analyse les qualités physiques et physiologiques des jeunes handballeurs sénégalais des sélections nationales U18 et U20, dans le but d’évaluer leur compatibilité avec les exigences du handball de haut niveau. Un échantillon de trente-trois (33) athlètes a été soumis à une batterie de tests physiques (vitesse, puissance, force, agilité, endurance, souplesse) et physiologiques (fréquence cardiaque, pression artérielle, électrocardiogramme).

This article attempts to examine the relationship between the peasantry and armed groups during conflicts in the Dogon region of central Mali. The study highlights, on the one hand, the contexts in which armed conflicts occur and, on the other hand, the socio-economic relationships between populations and armed groups. Thus, these conflicts are initially perceived as a source of despair and destruction of the socio-economic activities necessary for the survival of peasants.

This research explores the pivotal role of Artificial Intelligence (AI)-based smart façades in advancing Saudi Arabia’s Vision 2030 objectives, emphasizing sustainability, energy efficiency, and quality of life. The study integrates AI algorithms with adaptive façade technologies to create intelligent building systems that dynamically respond to environmental and occupancy changes.

This research explores the pivotal role of Artificial Intelligence (AI)-based smart façades in advancing Saudi Arabia’s Vision 2030 objectives, emphasizing sustainability, energy efficiency, and quality of life. The study integrates AI algorithms with adaptive façade technologies to create intelligent building systems that dynamically respond to environmental and occupancy changes.