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FAIR: Fuzzy-BDI agents for intelligent reasoning on smart cyber-physical systems
Traditional engineering often struggles to cope with uncertainty in dynamic systems. To address this limitation, this study presents FAIR, a novel framework that tightly integrates fuzzy logic into the reasoning engine of Jason AgentSpeak to enhance decision-making in complex systems. By extending the Belief-Desire-Intention (BDI) model with fuzzy reasoning capabilities, FAIR enables run-time reasoning with vague or incomplete data under uncertainty at run-time. Moreover, FAIR extends the IEC-61131-7 standard to support fuzzy-BDI syntax. The framework is evaluated across four diverse domains, such as CPS, internet of things (IoT), house robotics, and video gaming. Experimental results show that fuzzy-BDI agents significantly outperform traditional BDI agents. These findings highlight FAIR's potential as a practical engineering approach for developing intelligent, adaptive agents capable of operating under real-world uncertainty
Design and evaluation of ester-containing PEPPSI Type Pd(II)NHC complexes as multitarget enzyme inhibitors
This work reports the synthesis and characterization of a series of PEPPSI-type (NHC)PdBr2(Py) complexes bearing ester-functionalized N-heterocyclic carbene (NHC) ligands. The complexes were characterized using 1H and 13C NMR, FTIR spectroscopy, and X-ray crystallography. Single-crystal X-ray diffraction confirmed the square-planar geometry around the Pd(II) center. The synthesized complexes demonstrated significant inhibitory ability against alpha-glycosidase, acetylcholinesterase (AChE), and butyrylcholinesterase (BChE), with Ki values ranging from 17.63 +/- 2.65 to 106.13 +/- 3.78 nM. Molecular docking studies revealed key interactions between the complexes and the active sites of the target enzymes, providing insights into their inhibitory mechanisms. Notably, complexes 1f, 1i, and 1e exhibited the highest potency, suggesting their potential as therapeutic agents for metabolic and neurodegenerative disorders
The relationship between development indicators and HIV epidemiology:a global perspective on social determinants
Mimarlık Eğitiminde Öğrenen Temelli Özgürlük Arayışları: 1960’lardan Bugüne Bir Retrospektif
Geological parameters affecting the dimension stone blocks production of Manisa limestone, Western Türkiye
The usability of rocks as dimension stones is influenced by several geological parameters, including the reserve, material properties, block size, quarry production efficiency, factory production efficiency, and the color-pattern characteristics of the rock mass. The initial preparation costs are particularly high in dimension stone quarries. Numerous dimension stone quarries are prematurely abandoned as a result of inadequate geological investigations conducted before production. This not only results in economic loss but also unnecessary destruction of nature. Consequently, an assessment of the rock mass characteristics and material properties is a critical factor to consider prior to initiating quarry operations. This study aims to identify the geological parameters influencing the production of dimension stone in Manisa limestone. In this context, detailed field observations were conducted on the bench faces and on the abandoned stone blocks in the waste disposal areas of 15 quarries (7 active and 8 abandoned) located in Manisa region. According to the findings of the geological studies conducted at the quarries, it was determined that the most important primary geological parameters affecting the dimension stone production are discontinuities; secondary geological parameters were determined as brecciation, cherts, autobrecciation, fossil presence, Neptunian dyke infillings, onyx zones, color changes, stylolites, weathering along discontinuity, and black dots. Results of the scan-line surveys shows that the mean discontinuity spacing of the discontinuity planes is wider than 1 m and the volumetric joint count (Jv) value is lower than 1.35 joint/m3 of the working quarries.</p