Consumption and Sustainable Management: Exploring Visitor Expenditures and Influencing Factors in Urban Parks by Peng Zhan, Qinghai Guo, Zhong Zheng, Zheng Chen

“…Three pathways through which park environments affect expenditures were identified and validated: (a) direct effects (e.g., the density of internal businesses), (b) attraction of high-spending visitor segments, and (c) indirect effects mediated by park usage behaviors and psychological factors. …”
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Personalized learning in hybrid education by Alaa O. Khadidos, Hariprasath Manoharan, Adil O. Khadidos, Mohammad N. Alanazi, Fuhid Alanazi, Shitharth Selvarajan

“…Consequently, this research provides clear insights into the integration of the Personalised Learning Approach (PLA) to foster effective interaction with students. However, many existing methods suggest different techniques for evaluating learners in a hybrid mode, where obtaining clear data sets can be difficult. …”
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An MLLM-Assisted Web Crawler Approach for Web Application Fuzzing by Wantong Yang, Enze Wang, Zhiwen Gui, Yuan Zhou, Baosheng Wang, Wei Xie

“…Web application fuzzing faces significant challenges in achieving comprehensive test interface (attack surface) coverage, primarily due to the complexity of user interactions and dynamic website architectures. While web crawlers can automatically access and extract critical website information—including form fields and request parameters—which are essential for generating effective fuzzing test cases, current crawler technologies exhibit three primary limitations: (i) insufficient capabilities in analyzing page relationships and determining page states; (ii) lack of functionality-aware exploration capabilities, resulting in generated inputs with poor contextual relevance; (iii) generation of unstructured operation sequences that fail to execute effectively due to their incompatibility with state-based testing logic. …”
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Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications by Sinan Ibrahim, Mostafa Mostafa, Ali Jnadi, Hadi Salloum, Pavel Osinenko

“…Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-making by learning through interaction with their environment. Central to this process are reward engineering and reward shaping, which are essential for enhancing the efficiency and effectiveness of RL algorithms. …”
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Autonomous Mobile Robot Path Planning Techniques—A Review: Classical and Heuristic Techniques by Mubarak Badamasi Aremu, Ibrahim K. Kabir, Gamil Ahmed, Sami El-Ferik

“…For each category, we analyze the strengths and limitations of the representative techniques and evaluate their effectiveness in various operational scenarios. …”
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Investigating the impact of peatland degradation: A lipid biomarker analysis by Nasreen Jeelani, Katharina Fischer, Carrie L. Thomas, Klaus-Holger Knorr, Mariusz Lamentowicz, Mariusz Gałka, Stephan Glatzel

“…Summary: Lipids, such as aliphatics, phenolics, and carboxylic acids, are key biomarkers for analyzing peat composition, decomposition, and microbial activity. …”
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FishermaskFormer: Lightweight Remote Sensing Scene Classification With Masked Transformer by Wei Wu, Xianbin Hu, Zhu Li, Xueliang Luo

“…This is aimed at offering a flexible and effective framework for preserving classification accuracy while significantly reducing the complexity. …”
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On protecting the data privacy of Large Language Models (LLMs) and LLM agents: A literature review by Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, Xiuzhen Cheng

“…Agents built on LLMs (LLM agents) further extend these capabilities, allowing them to process user interactions and perform complex operations in diverse task environments. …”
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Spatial heterogeneity and explanatory variables of surface soil moisture changes in the Northwest Shandong Plain, China by Chenglei Hou, Mou Leong Tan, Qin Ma, Joon Chuah, Fei Zhang

“…This study highlights the seasonal variability of SSM heterogeneity in semi-humid regions and demonstrates the effectiveness of the OPGD model in analyzing nonlinear relationships.…”
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Network of nicotinamide mononucleotide biosynthesis: substrate tracking, rate-limiting enzyme, and regulatory strategy by Puyue Zhang, Ziru Ye, Zhong Tian, Qing Liu, Yong Huang

“…Recently, its potential effects in delaying aging have attracted considerable attention. …”
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Anterograde interference in multitask perceptual learning by Jia Yang, Fang-Fang Yan, Tingting Wang, Zile Wang, Qingshang Ma, Jinmei Xiao, Xianyuan Yang, Zhong-Lin Lu, Chang-Bing Huang

“…Here, we formulated four hypotheses concerning task interactions and investigated them by analyzing training sequence effects through a continual learning framework. …”
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Myo‐inositol oxygenase (MIOX) accelerated inflammation in the model of infection‐induced cardiac dysfunction by NLRP3 inflammasome by Wenjun Zhou, Congyi Yu, Yiwen Long

“…The inhibition of MIOX reversed the effects of NLRP3 in the in vitro model of cardiac dysfunction. …”
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Islamic Education Teacher Creativity to Improve Students' Academic Achievement at SMP Negeri 16 Gresik by Imam Alamuddin, Muslihun Muslihun

“…Therefore, creative teachers must have an interest in finding out about the development of Islamic religious education at the moment. this and will come as an effort to increase the effectiveness of Islamic religious education. This research describes: First, to analyze the teaching creativity of teachers in learning Islamic religious education at SMP Negeri 16 Gresik. …”
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Analysis of Visitor Perceptions of Malang City Thematic Parks using a Text Mining Approach by Nur Izza Vania, Aisyah Larasati, Yuh-Wen Chen, Nikmatus Sholikha

“…This study aims to analyze visitor perceptions of thematic parks by identifying high-frequency keywords extracted from user-generated reviews. …”
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Current Issues of Safety and Quality of In-home Medical Care Provided to Adult Population by N. E. Parsadanyan, A. M. Kuznetsova

“…Assessment of the quality of services should be carried out by means of  feedback systems and regular audits, thus improving the interaction between medical staff and patients. The study also examines the need for a multidisciplinary approach to medical staff training and the creation of interdisciplinary teams to ensure effective care.The purpose of the study was to analyze the existing models of in-home medical care provision, to identify their advantages and disadvantages, as well as to search for optimal ways to improve the quality and safety of the service provided to the adult population.Materials and methods. …”
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EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation by Ch Anwar Ul Hassan, Muhammad Ehatisham-ul-Haq, Fiza Murtaza, Aman Ullah Yasin, Syed Sajid Ullah

“…This paper proposes the EmoTrans model, which uses the DEAP dataset to analyze physiological signals and facial video recordings. …”
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Festivals in Age of AI: Smarter Crowds, Happier Fans by João M. Lopes, Ilda Massano-Cardoso, Camila Granadeiro

“…In tourism and music events, AI has proven to be a powerful tool for improving the attendee experience, personalizing artist recommendations, optimizing event logistics in real time, and enhancing audience interaction through virtual assistants and immersive visual effects, thus highlighting its transformative potential. …”
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Crosstalk between ferroptosis and innate immune in diabetic kidney disease: mechanisms and therapeutic implications by Jinyang Wang, Haonan Shi, Ye Yang, Xueli Gong

“…Diabetic kidney disease (DKD) is a prevalent complication of diabetes mellitus (DM), and its incidence is increasing alongside the number of diabetes cases. Effective treatment and long-term management of DKD present significant challenges; thus, a deeper understanding of its pathogenesis is essential to address this issue. …”
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Strategic Traffic Management in Mixed Traffic Road Networks: A Methodological Approach Integrating Game Theory, Bilevel Optimization, and C-ITS by Areti Kotsi, Ioannis Politis, Evangelos Mitsakis

“…The methodology includes defining a model to achieve optimal mixed equilibria, designing an algorithm for multiclass traffic assignment, formulating strategic games to analyze player interactions, and establishing key performance indicators to evaluate network efficiency and effectiveness. …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…Hypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions. …”
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