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Abstract The proposed study is an integrated graph-theoretical and statistical model of predictive modeling and ranking of influenza strain drugs based on temperature-based topological indices. Chemical graphs were used ...

Abstract Advances in AI are transforming decision making teams. A fundamental open question is whether AI agents elicit social conformity effects comparable to human peers. If so, a critical challenge is determining whet...

Abstract Treatment decisions in cancer care can be life-critical and significantly affect self-determination concerns. Therefore, it is of great importance that the decision-making process is set up in the interest and s...

Abstract Social decision-making involves intricate and dynamic interactions between brains, yet prior hyperscanning research primarily concentrated on investigating the overall patterns of interbrain synchrony (IBS), lea...

Abstract Optimizing surgical decisions in breast cancer is critical. Choosing between mastectomy and breast-conserving surgery (BCS) is complex due to heterogeneous pre-operative clinical factors. We developed BrCaM (Bre...

Abstract The growing interest in the electric vehicles (EVs) has highlighted the significance of choosing appropriate battery technologies according to various competing and unpredictable norms. In the development of EV ...

Abstract In the era of intelligent systems and data-driven technologies, making precise and reliable decisions under uncertainty has become increasingly vital. The primary aim of this study is to tackle decision making (...

Abstract Primates’ decision-making in economic contexts follows distinctive patterns, as initially described by Prospect Theory. Social animals, such as monkeys, live in hierarchically structured groups where individua...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

Abstract Large language models (LLMs) demonstrate strong reasoning and planning capabilities in static textual contexts, yet they struggle significantly with dynamic decision-making tasks involving spatial elements, such...

Abstract Selecting the appropriate maintenance type is a challenging task that involves multiple criteria working together. This decision has a significant impact on the organization and its overall market sustainability...