The role of product art design based on a fuzzy decision support system in improving user interaction experience. by Yuqiao Liu, Shuai Zhang

“…This methodology aimed to improve the interaction rate of 97.4% with better impacts on product design and modification using likelihood variants. The user experience assessment is performed using the higher-order variants with a better user adaptability rate of 98.9%, maximizing the recommendations.…”
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Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

“…Beyond this proposed framework, the primary novelty in the field of modeling lies in the special modification of the TS fuzzy model transformation method that enables the selection of principal components within the fuzzy rules and facilitates the use of interpretable fuzzy sets, along with a pseudo-inverse-based model adaptation that mitigates the computational load as the number of users grows. …”
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Genome-wide identification of NHX gene family and effects of salicylic acid in regulating antioxidant activity as well as nutrients deposition under salt stress in three Brassica s... by Rana Muhammad Amir Gulzar, Raheel Munir, Zhang Ren Yi, Nazia Jan, Abdul Rauf, Zohaib Kaleem, Muhammad Haseeb Javaid, Mumtaz Ali Saand, Ali El-Keblawy, Mohamed S. Sheteiwy, Zaid Ulhassan

“…Results In this study, we identified the NHX gene family members of three Brassicaceae species including Brassica napus, Brassica rapa and Brassica oleracea and analyzed the expression patterns of NHX genes in response to salt stress and phytohormonal application (SA). Comprehensive computational analyses, encompassing domain and motif prediction, cellular localization, cis-regulatory elements (CREs), and post-translational modification (PTM) sites revealed distinct group-specific characteristics within the NHX gene family. …”
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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Further research may also explore adaptive extensions of the algorithm for real-time structural health monitoring. …”
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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…Despite advancements in non-invasive sensing, challenges remain in balancing fault detection accuracy, computational efficiency, and adaptability to real-world conditions. …”
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Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning by Rui Ponte Costa, Robert C Froemke, P Jesper Sjöström, Mark CW van Rossum

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Machine learning assisted CFD optimization of fuel-staging natural gas burners for enhanced combustion efficiency and reduced NOx emissions by Muhammad Mubashir, Dekui Shen, Habib Kraiem, Aymen Flah, Nahar F. Alshammari, Muhammad Mubashar Hanif

“…This study presents a computational and data-driven approach to the design and optimization of a natural gas burner employing a folded flame pattern with fuel staging. …”
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A New CDM-Based Approach for the Nonlinear Numerical Structural Analysis of Flax Fiber Reinforced Plastic by Rostislav Svidler, Roman Rinberg, Sascha Mueller, Lothar Kroll

“…However, with appropriate modifications, classical laminate theory (CLT) can be adapted for nonlinear analysis. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

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Negative Selection Algorithm for Unsupervised Anomaly Detection by Michał Bereta

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Efficient super resolution-based detail injection network for multispectral pan-sharpening by Yaxu Wang, Xiaobo Luo, Hongwei Ye

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An open source FEM code for solving coupled thermo-poroelastoplastic processes by Matthew L. McLean, D. Nicolas Espinoza

“…The code is freely available to the general community for use and modification. …”
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SIMULATION AND OPTIMIZATION OF POROUS BONE-LIKE MICROSTRUCTURES WITH SPECIFIC MECHANICAL PROPERTIES by Adrian Wit, Sebastian Wronski, Jacek Tarasiuk

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Optimization of ATP System Based on Quantum Secure Communication and Its Tracking Control Strategy by Jin Liu, Fan Zhang, Carlo Cattani, Haima Yang, Song Wanqing

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Statistical overview of the Sniffin’ sticks olfactory test from the perspectives of anosmia and hyposmia by László Sipos, Zsófia Galambosi, Sándor Bozóki, Zsombor Szádoczki

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Efficient Deep Learning-Based Cyber-Attack Detection for Internet of Medical Things Devices by Abigail Judith, G. Jaspher W. Kathrine, Salaja Silas, Andrew J

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Aquaporins as Membrane Proteins: The Current Status by Irena Roterman, Katarzyna Stapor, Dawid Dułak, Grzegorz Szoniec, Leszek Konieczny

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Self-governing systems by Jeremy Pitt, Asimina Mertzani, Josiah Ober

“…This includes agency, voluntary association, empowerment, innovation and metrication, as they relate to this profound shift in our understanding of “human-computer interaction” and “human-machine teamwork.” …”
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Centrifugation-assisted lateral flow assay platform: enhancing bioassay sensitivity with active flow control by Hang Yuan, Ruiqi Yong, Wenwen Yuan, Quan Zhang, Eng Gee Lim, Yongjie Wang, Fuzhou Niu, Pengfei Song

“…However, their reliance on passive capillary flow limits sensitivity, making it challenging to detect low-abundance biomarkers accurately. Approaches such as computer signal processing, chemical modification, and physical regulation have been explored to improve LFA sensitivity, but they remain limited by passive capillary-driven flow and uncontrollable flow rate. …”
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