Proprioceptive and Exteroceptive Information Perception in a Fabric Soft Robotic Arm via Physical Reservoir Computing with Minimal Training Data by Jun Wang, Zhi Qiao, Wenlong Zhang, Suyi Li

“…Over recent decades, soft and reconfigurable robots have rapidly emerged thanks to their ability to interact safely with humans and adapt to complex environments. . …”
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The Impact of Energy Efficiency Technologies, Political Stability and Environmental Taxes on Biocapacity in the USA by Mihaela Simionescu

“…The quantile regression reveals complex short-run impacts on biocapacity with persistent positive effects from its lag, contrasting with the diminishing negative influence of GDP and positive influence of energy efficiency at higher quantiles, while long-run analysis shows a consistent negative impact of GDP and varying positive or nonlinear effects of other factors. …”
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Comparative Study of Algorithms for the Conversion From Surface Mesh Models to Volume Mesh Models by Youxi Wang, Qi Pang, Meng Li, Yang Liu

“…Future research will focus on algorithm optimization, particularly enhancing the HXT algorithm’s ability to handle complex models, developing automated parameter selection mechanisms, exploring the application of algorithms in other engineering fields, and achieving better integration of algorithms with computer-aided design (CAD)/computer-aided engineering (CAE) workflows.…”
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Theoretical and computational investigations on estimation of viscosity of ionic liquids for green adsorbent: Effect of temperature and composition by Zhaoxiong Han

“…SVR emerges as an accurate model with a score of 0.99526 in terms of R2. SVR's ability to handle complex data distributions and provide accurate predictions positions it as a valuable tool for viscosity prediction in ionic liquids.…”
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A Hybrid AI-Based Adaptive Path Planning for Intelligent Robot Arms by Ali Abdi, Ju Hong Park

“…The results indicate the ability of the proposed method to respond dynamically in a complex scenario where the target is fluctuating, and an obstacle is intentionally placed in the robot’s path. …”
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REENGINEERING OF OPEN SOFTWARE SYSTEM OF 3D MODELING BRL-CAD by Stanislav Velykodniy

“…Also fundamental to the package is the ability to support the design and analysis of visual models based on complex objects, consisting of a large set of graphic primitives. …”
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CA19-9/DBil: a promising indicator to distinguish between CA19-9-elevated pancreatic head-type autoimmune pancreatitis and pancreatic head cancer by Wenfeng Xi, Wanying Liao, Tao Guo, Qingwei Jiang, Xiaoyin Bai, Xi Wu, Yunlu Feng, Shengyu Zhang, Dongsheng Wu, Qiang Wang, Aiming Yang

“…Model 1, although simple, was not inferior in its discriminative ability compared to complex models: the difference in discrimination between Model 1 and each of two adjusted models was not statistically significant (P > 0.05, both AUC and NRI). …”
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STRATEGIC COMPETENCE AS A DETERMINANT OF PROFESSIONAL COMPETENCE OF A FUTURE SPECIALIST by Levitina Lina

“…The analysis of the scientific literature has shown that there is a difficulty in defining strategic competence, as it can refer to both the ability to perform tasks and the way people should behave to fulfil their role. …”
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A decision-theoretic framework for wastewater treatment performance assessment based on a fuzzy parameterized fuzzy hypersoft set approach by Muhammad Haris Saeed, Fatima Razaq, Muhammad Saeed, Muhammad Salman Habib, Seung-June Hwang

“…With these 3 specialized systems, 4 case studies were developed based on 19 pseudo-realistic environmental, social, technical, and economic factors each simulating a different scenario faced by nations highlighting sustainability, technical performance and the environment allowing for informed decision-making while addressing uncertainty making them highly suitable as a computational AI solution for real-data analysis. This fuzzy analysis offers a reference for making informed decisions in the context of environmental remediation and complex scenario simulations.…”
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Triglycerides/high-density lipoprotein-cholesterol ratio outperforms traditional lipid indicators in predicting metabolic dysfunction-associated steatotic liver disease among U.S.... by Jin Yuan, Xuequan He, Yan Lu, Xuehua Pu, Lihe Liu, Xuejun Zhang, Jinping Liao, Guiling Li, Ying Luo, Tianwu Zhang

“…Receiver Operating Characteristic (ROC) curve analysis was used to evaluate the predictive effectiveness. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…To address these challenges, this paper proposes a traffic flow statistical method based on YBOVDT(YOLO-World and BOT-SORT-Open Vocabulary Detection and Tracking)and SAM2.Specifically, in the method, this paper proposes a “Traffic Flow Data Processing and Analysis” module, aiming to optimize and supplement the five core functions required for traffic flow statistics tasks, thereby making the functions of the entire solution more comprehensive.In addition, this paper combines the latest open set object detection and tracking algorithms to enhance the recognition ability and tracking stability of traffic objects. …”
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The influence of access to technology and digital literacy on female empowerment and digital entrepreneurial intentions by Ali Saleh Alshebami, Syed Ali Fazal, Abdullah M. Aljarodi, Nowshin Zarin, Abdullah Hamoud Ali Seraj, Elham Alzain

“…Therefore, this paper aims to examine the relationship between access to technology, digital literacy, digital entrepreneurial intent, and female empowerment, using data from 217 female university students in Saudi Arabia. Conformity factor analysis (CFA) and multivariate covariance-based structural equation modelling (CB-SEM) were utilised to explore this complex relationship. …”
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Learning motivation among international students: the role of demographic factors by Tsai-Fu Chuang, Mei-Hui Lin, Tsaur-Chin Wu, Ming-Da Chuang

“…The process of data analysis included descriptive statistics, t tests, a one-way analysis of variance, correlation analysis, and stepwise multiple regression. …”
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The Contemporary Career Theory as a Lens for Understanding the Internationalization of Business Schools Students by Marcello Romani-Dias, Seimor Walchhutter, Caio Sousa da Silva, Luis Henrique Rigato Vasconcellos

“…Through this methodological design, we identified three main precepts of the theory that help explain student internationalization: (i) desire to expand their networks and broaden their cultural knowledge; (ii) search for greater autonomy of decision and professional alternatives; (iii) development of their soft skills and ability to solve complex problems. With these results we make contributions to the research topic, for students and for business schools.…”
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A morphometric exploration of the taxonomic utility of scale osteoderms in southern African fossorial skinks (Acontinae, Acontias) by Zhongning Zhao, Lucas Thibedi, Mphalile Mokone, Neil Heideman

“…Multivariate analyses, including principal component analysis (PCA) and discriminant function analysis (DFA), demonstrated the complementary strengths of ratio-based and studentized linearized residuals (SLRs)-based metrics. …”
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Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction by Yu Wang, Qingbin Tong, Luqiang Yang, Junci Cao, Jiang Cao

“…To address the time-varying and ambiguous parameters, an efficient Nutcracker Optimization Algorithm (NOA)-based identification mechanism is introduced to dynamically calibrate the virtual thermal model, overcoming the limitations of static modeling and data isolation inherent in conventional thermal analysis methods. The Euclidean distance and uncertainty analysis between real temperature and predicted temperature demonstrate the highly reliable predictive ability of the proposed framework in terms of bearing thermal, especially under variable speed conditions. …”
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Development of an ensemble prediction model for acute graft-versus-host disease in allogeneic transplantation based on machine learning by Lin Song, Xingwei Wu, Mengjia Xu, Ling Xue, Xun Yu, Zongqi Cheng, Chenrong Huang, Liyan Miao

“…Machine learning (ML), a branch of artificial intelligence, has since been introduced in medicine due to its ability to process complex, high-dimensional variables quickly and capture nonlinear relationships. …”
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Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

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THE INTEGRATION OF AI IN DOCTORAL-LEVEL RESEARCH by Alexander Ștefan POPA

“…The study also examines the broader ethical and legal dimensions of using AI in doctoral work, focusing on key principles like transparency, fairness, and the ability to explain AI-driven decisions. By combining theoretical insights with practical analysis, this work offers a well-rounded look at both the possibilities and challenges that AI brings to legal scholarship, while emphasizing the need to preserve core values in intellectual property law.…”
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Modeling Vehicular Traffic Flow With Taillight Effect on Deteriorated Roads by Gabriel O. Fosu, Gideon K. Gogovi, Richard Owusu, Kwame A. Gyamfi

“…Building on the observation that reduced road quality and limited visibility significantly alter driver behavior, particularly in response to preceding vehicles’ taillights, we formulate a model that captures these complex interactions neglected by classical approaches. …”
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