Active inference and psychodynamics: a novel integration with applications to depression and stress disorders by Hebert W. Harris

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Thinking (Im)Possibilities: Cognitive Acts of Imagination and Autofictional Books by Alexandra Effe

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Adaptive Res-LSTM Attention-based Remaining Useful Lifetime Prognosis of Rolling Bearings by Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj

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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

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Smart tourism and poverty reduction by Shiyi TAO

“…This study has the referential value in the targeted poverty reduction process in China, through the analyse of the latest smart tourism platform can find the current advantages and defects and make up for flaw timely. …”
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Performance Evaluation of a Commercial-Scale Sulfur Hexafluoride (SF6) Thermal Destruction Process by Mi-Yeong Kim, Joong-Won Lee, Ji-Ho Ahn, Young-Hwan Byun, Su-Bin Yun

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Maximum Fluidized Bed Boiler Temperature Determination for Coal–Biomass Combustion Condition Through Ash Area Reduction Technique by Fernando H. B. Santos, João V. R. Moreira, Gabriel C. P. Soares, Alan N. Carneiro, Danielle R. S. Guerra, Manoel F. M. Nogueira, Luís A. C. Tarelho

“…The proposed procedure for determining the starting ash sintering temperature is based on two simple and dynamic methodologies: simultaneous thermal analysis (STA) and sintering by an area reduction in ash samples. The data obtained allow us to determine that the coal ash begins to sinter at around 1000 °C, while the açai seed ash starts at around 700–850 °C, exhibiting a significant area reduction.…”
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Thermochemical response of TiO2 upon heating with CaMg2 reductant: Experimental findings and theoretical modeling by Kyu Seok Lim, Hayk Nersisyan, Seul Ki Han, Kyoung-Tae Park, Hoyoung Suh, Jong Hyeon Lee

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Damage Detection of Truss Structures by Reduction of Degrees of Freedom Using the Serep Method by Shahin Lale Arefi, Amin Gholizad

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Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models by Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior

“… Using data from user sentences on Spotify, this work explores through Natural Language Processing positive and negative sentiments in each comment. …”
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Consecutive mechanical-force-induced electron transfer for reduction of aryl halides with high reduction potentials by Xiaohong Wang, Xiaochun He, Xuemei Zhang, Qingqing Wang, Qian Huang, Ruiling Qu, Zhong Lian

“…However, the piezoelectric potential generated can sometimes be insufficient to activate the electron transfer process, similar to the limitations observed in photocatalytic reactions. …”
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Implementing and evaluating the quality 4.0 PMQ framework for process monitoring in automotive manufacturing by Fathy Alkhatib, Mohamed Allam, Vikas Swarnakar, Juman Alsadi, Maher Maalouf

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Judicial Administration 4.0: strengths, challenges and opportunities of a proactive approach to AI regulation in Spain by Torres María Luisa García

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Trading Efficiency for Control: the AI Conundrum in Migration Management by Gianluca Iazzolino

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A stacked ensemble model for traffic conflict prediction using emerging sensor data by Bowen Cai, Léah Camarcat, Nicolette Formosa, Mohammed Quddus

Subjects: “…Traffic Conflicts Prediction…”
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Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction by Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, Mikhail Shutov, Usman Tasuev, Ksenia Evteeva, Maksim Mironenko, Evgeny Burnaev

“…Abstract Wildfires play a pivotal role in environmental processes and the sustainable development of ecosystems. …”
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Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning by Zhiyuan Wang, Xiaogang Hu, Gan Li, Zhen Xu, Hongxing Lu, Qiang Zhu

“…In this study, a machine learning (ML) model has been developed to identify defective products through the detection of injection pressure, thereby providing a foundation for monitoring and further optimizing the manufacturing process. Among various ML algorithms, the Multilayer Perceptron (MLP) is the most effective for overall quality prediction. …”
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Predicting risk for nocturnal hypoglycemia after physical activity in children with type 1 diabetes by Heike Leutheuser, Heike Leutheuser, Marc Bartholet, Alexander Marx, Alexander Marx, Alexander Marx, Marc Pfister, Marc Pfister, Marie-Anne Burckhardt, Marie-Anne Burckhardt, Sara Bachmann, Sara Bachmann, Julia E. Vogt, Julia E. Vogt

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Contextual Emotional Transformer-Based Model for Comment Analysis in Mental Health Case Prediction by Ayodeji O. J. Ibitoye, Oladosu O. Oladimeji, Olufade F. W. Onifade

“…Mental health (MH) assessment and prediction have become critical areas of focus in healthcare, leveraging developments in natural language processing (NLP). …”
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Predicting classification errors using NLP-based machine learning algorithms and expert opinions by Peiheng Gao, Chen Yang, Ning Sun, Ričardas Zitikis

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