A Combined Weighting Method Based on Hybrid of Interval Evidence Fusion and Random Sampling by Ying Yan, Bin Suo

“…Due to the complexity of system and lack of expertise, epistemic uncertainties may present in the experts’ judgment on the importance of certain indices during group decision-making. …”
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Stability and Finite-Time Synchronization Analysis for Recurrent Neural Networks with Improved Integral-Type Time-Varying Delays by Meng Li, Gulijiamali Maimaitiaili

“…Stability criterion of this paper not only has less conservative and computation complexity but also has shorter synchronization control time.…”
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Observer Design for Fractional-Order Polynomial Fuzzy Systems Depending on a Parameter by Hamdi Gassara, Mohamed Rhaima, Lassaad Mchiri, Abdellatif Ben Makhlouf

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Uncovering latent profiles of political news consumers and their associations with political views and their extremity by Cornelia Sindermann

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A Novel Hypersonic Target Trajectory Estimation Method Based on Long Short-Term Memory and a Multi-Head Attention Mechanism by Yue Xu, Quan Pan, Zengfu Wang, Baoquan Hu

“…Eventually, the model achieves accurate prediction of hypersonic target trajectories with limited computational resources. The experimental results show that the method performs well in complex dynamic environments with improved prediction accuracy and robustness, reflecting the potential of information theory principles in optimizing the trajectory prediction model.…”
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Advanced active learning techniques for precision-driven machine-learned potentials in Sb2S3 by V. Priyadarshini, P. Nemthianhoi Zou, Debashish Dash, Sanskriti Mahata, Manwendra Chauhan, Kumar Akash

“…The active learning loop systematically identified high-uncertainty configurations, which were refined through Density Functional Theory (DFT) calculations to interact with improving model accuracy. …”
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Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys by Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey

“…These models offer broad applicability across the periodic table, achieving first-principles accuracy at a fraction of the computational cost of traditional DFT calculations. In this study, we demonstrate that state-of-the-art pretrained uMLIPs can effectively replace DFT for accurately modeling complex defects in a wide range of metals and alloys. …”
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Influencing Mechanism of the Social Role of Government Digital Human on Public Adoption Behavior by WEI Tianyu, LIU Zhongyi, ZHANG Ning

“…The subjects were randomly grouped to complete the role cognition test and human-computer interaction tasks. Data were collected by using the research path combining situation simulation and questionnaire survey. …”
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Machine Learning-Assisted Hartree–Fock Approach for Energy Level Calculations in the Neutral Ytterbium Atom by Kaichen Ma, Chen Yang, Junyao Zhang, Yunfei Li, Gang Jiang, Junjie Chai

“…Data-driven machine learning approaches with precise predictive capabilities are proposed to address the long-standing challenges in the calculation of complex many-electron atomic systems, including high computational costs and limited accuracy. …”
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Intratentacular budding and zooid-dynamics in two coral genera by Matan Yuval, Amit Peleg, Elvan Ceyhan, Dan Tchernov, Yossi Loya, Avi Bar-Massada, Tali Treibitz

“…Moreover, our dataset has broad interdisciplinary value, with potential applications ranging from computer graphics and geometric modeling to studies of natural tiling patterns and spatial organization in biological systems.…”
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Advanced Monocular Outdoor Pose Estimation in Autonomous Systems: Leveraging Optical Flow, Depth Estimation, and Semantic Segmentation with Dynamic Object Removal by Alireza Ghasemieh, Rasha Kashef

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Optimal Gas Fee Minimization in DeFi: Enhancing Efficiency and Security on the Ethereum Blockchain by Heesang Kim, Dohoon Kim

“…The introduction of the Gas Cost Surface provides a novel approach to dynamically managing gas fees, offering insights into the complex interactions between swap amounts and market volatility. …”
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In silico engineering of fullerene-like Al12N12 nanostructured for the adsorption of PH3, NH3, and COCl2 industrial affili-ate gases by Ededet A. Eno, Eban L. Kechi, Favour A. Nduoma, Henry O. Edet

“…The adsorption energy, energy gap, and the quantum theory of atom-in-molecules (QTAIM) results for all the studied complexes consistently indicate that the adsorption of PH3, NH3, and COCl2 on Al12N12 nanomaterial is promising. …”
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Task scheduling optimization strategy for roadside unit based on security strength by SU Beipo, DAI Liang, JU Yongfeng

“…In the context of cooperative vehicle-infrastructure systems (CVIS), vehicles often offload computational tasks to roadside units (RSUs) for execution due to their own constrained computing resources. …”
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Potential Azo-8-hydroxyquinoline derivatives as multi-target lead candidates for Alzheimer's disease: An in-depth in silico study of monoamine oxidase and cholinesterase inhibitors... by Fatima Zahra Guerguer, Bouchra Rossafi, Oussama Abchir, Yasir S Raouf, Dhabya Bakhit Albalushi, Abdelouahid Samadi, Samir Chtita

“…Cognitive dysfunction in Alzheimer's disease results from a complex interplay of various pathological processes, including the dysregulation of key enzymes such as acetylcholinesterase (AChE), butyrylcholinesterase (BuChE), and monoamine oxidase B (MAO-B). …”
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Fisher Information-Based Optimization of Mapped Fourier Grid Methods by Sotiris Danakas, Samuel Cohen

“…Same trends are evidenced in the solution of Dalgarno–Lewis equations, i.e., inhomogeneous counterparts of the radial Schrödinger equation occurring in perturbation theory. A detailed analysis of the results, implications on more complex single valence electron Hamiltonians, and future extensions are also included.…”
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A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization. by Karim Rajaei, Seyed-Mahdi Khaligh-Razavi, Masoud Ghodrati, Reza Ebrahimpour, Mohammad Ebrahim Shiri Ahmad Abadi

“…The brain mechanism of extracting visual features for recognizing various objects has consistently been a controversial issue in computational models of object recognition. To extract visual features, we introduce a new, biologically motivated model for facial categorization, which is an extension of the Hubel and Wiesel simple-to-complex cell hierarchy. …”
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Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles by Alexandre Benoit, Pedram Asef

“…GPP is essential for ROMIE's optimal performance, which is translated into solving the traveling salesman problem, a complex graph theory challenge that is crucial for determining the most effective route to cover all sampling locations in a mining field. …”
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Robust control and data reconstruction for nonlinear epidemiological models using feedback linearization and state estimation by Balázs Csutak, Gábor Szederkényi

“…It has been clearly demonstrated over the past years that control theory can provide an efficient framework for the solution of several complex tasks in epidemiology. …”
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Anisotropic DLVO-like interaction for charge patchiness in colloids and proteins by Andraž Gnidovec, Emanuele Locatelli, Simon Čopar, Anže Božič, Emanuela Bianchi

“…However, whether arising naturally or by synthesis, charge distributions are often inhomogeneous, leading to an intricate particle-particle interaction landscape and complex assembly phenomena. The fundamental complexity of these interactions gives rise to models based on distinct assumptions and varying degrees of simplifications which can blur the line between genuine physical behaviour and artefacts arising from the choice of a particular electrostatic model. …”
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