Foreword

“… As linguistic research continues to navigate the complex interplay between structure, meaning, and pedagogy, increasing attention is being paid to how languages are learned, represented, and taught across diverse sociocultural contexts. …”
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Utilizing Artificial Intelligence for Adaptive Scenario Development in Interprofessional Education by Hatice Şahin, Aysel Baser

“…Educators from various health professions must work together to ensure that scripts generated by AI reflect the complexities and interdependencies of real clinical scenarios. …”
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A physical state prediction method based on reduce order model and deep learning applied in virtual reality by Pengbo Yu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Siyun Yi, Ming Zhu, Yangheng Hu, Gexiang Zhang, Gexiang Zhang

“…The application of virtual reality (VR) in industrial training and safety emergency needs to reflect realistic changes in physical object properties. …”
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Simulation and Analysis of Imaging Process of Phosphor Screens for X-Ray Imaging of Streak Tube Using Geant4-Based Monte Carlo Method by Zichen Wang, Riyi Lin, Yuxiang Liao, Lin Tang, Zhenhua Wu, Diwei Liu, Renbin Zhong, Kaichun Zhang

“…As the most widely used tool for ultrafast diagnostic technology, investigating the characteristics of streak cameras in the imaging process and streak tubes’ complex physical processes is significant for its overall development. …”
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Multifunctional Hierarchical Metamaterials: Synergizing Visible-Laser-Infrared Camouflage with Thermal Management by Shenglan Wu, Hao Huang, Zhenyong Huang, Chunhui Tian, Lina Guo, Yong Liu, Shuang Liu

“…Furthermore, the RSHM demonstrates exceptional incident angle and polarization stability, maintaining robust performances even under complex detection conditions. This design is easy to expand relative to other frequency bands of the electromagnetic spectrum and holds significant potential for applications in military camouflage, energy-efficient buildings, and optical devices.…”
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Numerical study of a fish swimming in hydrokinetic turbine wake by Marianela Machuca Macias, Rafael Castilho Faria Mendes, José Hermenegildo Garcia-Ortiz, Taygoara Felamingo Oliveira, Antonio C.P. Brasil Junior

“…The environmental effects of hydrokinetic turbines are still under investigation, reflecting the emerging status of this technology. This study investigates the interaction between hydrokinetic rotor wakes and fish swimming, revealing insights into fish biomechanics in complex flows and assessing the environmental implications of marine energy solutions. …”
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Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network by Yu Yang, Jiahui Xu, Qiangbing Zhou, Shichao Kong, Keyi Lin

“…This study proposes a combination of the Kolmogorov-Arnold Network (KAN), which can fit complex nonlinear relationships with high precision, and the Finite Element Method (FEM) to address this challenge. …”
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Adapting the Competences of the Employed Personnel in the Context of the Integration of Artificial Intelligence in Organizations by Ioana Maria Popescu (Iacobescu), Iuliana Zavatin (Chilea), Daniela-Ioana Manea, Rodica Pamfilie, Alexandru Jurconi

“…The most significant risks identified, as a result of the integration of AI in organisations, are the alteration of interpersonal communication and staff restructuring, and the greatest opportunity is the decrease in the time allocated for the performance of certain tasks, reflected in the increase in the efficiency of the organisation. …”
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Independence of the dynamic grid of finite elements for the calculation of the aerodynamic resistance of linehaul trains by D.B. Beherskyi, I.V. Vitiuk, O.A. Levkivskyi, O.O. Bahinskyi, A.O. Koval

“…The dynamic grid was chosen because it allows changing the grid structure during simulation, which is important for accurately reflecting complex aerodynamic processes, such as turbulent flows and variable shocks on surfaces. …”
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Harmonizing the past: EEG-based brain network unveil modality-specific mechanisms of nostalgia by Hu Shuxiang, Hu Shuxiang, Liu Ying, Liu Ying, Yue Qizong, Yue Qizong, Zhao Huan, Zhao Huan, Zheng Maoping, Zheng Maoping

“…IntroductionNostalgia is a complex emotional experience involving fond memories of the past and mild sadness, characterized by positive emotions associated with reflecting on previous events. …”
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Research on IoT network performance prediction model of power grid warehouse based on nonlinear GA-BP neural network by Pang Lele, Xia Bo, Cheng Zhanfeng, Ren Zhiqiang, Shen Hao, Li Pengfei

“…To ensure the model’s applicability across various scenarios, the study verifies its scalability and robustness, proving its suitability for IoT systems in power grid warehouses of differing scales and complexities. This comprehensive verification, establish a grid warehouse model that accurately reflects the actual operation logic, and provide decision support for material management and allocation content.…”
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Silicon-induced photosynthetic adaptations in common buckwheat under salt stress revealed by prompt chlorophyll a fluorescence analysis by Md. Rakib Hossain Raihan, Michal Antala, Marcin Stróżecki, Md. Intesaful Haque, Mirza Hasanuzzaman, Radosław Juszczak, Anshu Rastogi

“…Salt stress significantly altered the chlorophyll a fluorescence transient (OJIP) curve, disrupting energy flow and electron transport in photosystem II (PSII), as reflected in the O-J, J-I, and I-P phases, along with the emergence of a positive K-band indicating damage to the oxygen-evolving complex (OEC). …”
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Exploring the Cooling Effects of Urban Wetlands in Colombo City, Sri Lanka by Darshana Athukorala, Yuji Murayama, N. S. K. Herath, C. M. Madduma Bandara, Rajeev Kumar Singh, S. L. J. Fernando

“…The threshold value of efficiency (TVoE) of urban wetlands in Colombo was 1.42 ha. …”
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A Precise and Scalable Indoor Positioning System Using Cross-Modal Knowledge Distillation by Hamada Rizk, Ahmed Elmogy, Mohamed Rihan, Hirozumi Yamaguchi

“…At the core of <i>DistilLoc</i>, the FNet architecture is employed for its computational efficiency and capacity to capture complex relationships among RSSI signals from multiple access points. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. …”
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Relational model of public-private partnership in railway transport by N. F. Sirina, V. P. Pershin

“…The results obtained are integrated into the software complex for innovative development of facilities and are tuned for transformation, effective use of the potential of partners, investors, performers and industry enterprises.…”
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ResilioMate: A Resilient Multi-Agent Task Executing Framework for Enhancing Small Language Models by Yubing Xiong, Mingrui Huang, Xuechen Liang, Meiling Tao

“…The method employs dynamic task decomposition across specialized agents (e.g., Assistant, Checker) to minimize computational costs and combines short-term trajectory tracking with long-term self-reflective optimization for adaptive execution. At its core, the LeptoConnect model series (1.8B/7B parameters) is created using hybrid attention distillation and dynamic curriculum learning to enable cross-domain competence while retaining SLM efficiency. …”
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Study on relationship between shrinkage and transformation of resource-based cities in China by YANG He, XUE Dongqian, SONG Yongyong

“…Shrinkage was mainly reflected in the population dimension, while transformation was most evident in the industrial and innovation dimensions. …”
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Enhanced AUV Autonomy Through Fused Energy-Optimized Path Planning and Deep Reinforcement Learning for Integrated Navigation and Dynamic Obstacle Detection by Kaijie Zhang, Yuchen Ye, Kaihao Chen, Zao Li, Kangshun Li

“…Ultimately, it enhances AUV operational performance and autonomy in complex maritime scenarios.…”
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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

“…<i>ovifera</i>) seeds are highly morphologically variable, and their classification is hence a complex task for the seed industry. Efficient and accurate classification is critical for agricultural production, breeding programs, and seed sorting for commerce. …”
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