AIoT-Driven Human Activity Recognition for Versatile Framework on Multipurpose Applications by Nanik Triwahyuni, Eni Wardihani, Aminuddin Rizal, Samuel Beta, Ricky Sambora, Rindang Oktaviani

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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

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Artificial intelligence driven platform for rapid catalytic performance assessment of nanozymes by Wenjie Xuan, Xiaofo Li, Honglei Gao, Luyao Zhang, Jili Hu, Liping Sun, Hongxing Kan

“…The platform incorporates several key innovations that distinguish it from existing databases: Firstly, standardized Data Curation: AI-ZYMES resolves inconsistencies in catalytic metrics (e.g., Km, Vmax), morphologies, and dispersion systems, enabling reliable cross-study comparisons, something that existing resources like DiZyme and nanozymes.net lack.Secondly, dual AI Framework: A gradient-boosting regressor predicts kinetic constants (Km, Vmax, Kcat) with an R2 up to 0.85, while an AdaBoost classifier identifies enzyme-mimicking activities based solely on nanozyme names, surpassing traditional random forest models in predictive accuracy.Lastly, ChatGPT-based Synthesis Assistant: The platform includes an AI-driven assistant for literature extraction (67.55% accuracy) and synthesis pathway generation via semantic analysis (90% accuracy). …”
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A new scheme for boosting in situ Fenton-like reaction in plant pathogenic tissues for selective structural degradation of capsid proteins by Jun Ma, Ming Chen, Yujie Wang, Jiaying Li, Jian Tang, Shengjun Wu, Chi He, J. Paul Chen

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More than a chatbot: a practical framework to harness artificial intelligence across key components to boost digital therapeutics quality by Amit Baumel

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AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics by Eshbayev Oybek, Ibragimova Iroda, Eshpulatov Dostonbek, Jamalova Gulnora, Mamadjanova Nozimaxon, Rizaeva Kamola

“…Overall, we find that sentiment-driven indicators, easy-to-use AI-enabled dashboards can monitor perception fluctuations and changes related to environmental condition and managerial activity in three dominant agri-business clusters.…”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

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An Ensemble-Based AI Approach for Continuous Blood Pressure Estimation in Health Monitoring Applications by Rafita Haque, Chunlei Wang, Nezih Pala

“…The proposed framework first uses an expert-driven feature engineering approach that systematically extracts physiological features from photoplethysmogram (PPG)-based arterial pulse waveforms (APWs). …”
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Uncovering Key Factors That Drive the Impressions of Online Emerging Technology Narratives by Lowri Williams, Eirini Anthi, Pete Burnap

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The role of personalization in influencing digital trust and impulse buying in e-commerce by David R. Hayrapetyan, Syuzi H. Darbinyan

“…In the context of e-commerce personalization is considered as individualized product recommendations, price offers and advertising messages based on the user data and AI algorithms. This transforms consumers behavior, increasing their engagement, but at the same time boosting the risks of manipulative influence. …”
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Harnessing laboratory data for poliovirus eradication: contributions of the Africa regional polio laboratory data management team, 2022 – 2024 by Brook Tesfaye, Reggis Katsande, Doungmo Wakem Yannick Arthur, Julius E Chia, Chefor Ymele Demeveng Derrick, Ikeonu Obianuju Caroline, Kabore Sakma, Mahmud Zubairu, Busisiwe Ngobe, Abdulahi Walla Hamisu, Ticha Johnson Muluh, Kebba Touray, Modjirom Ndoutabe, Jamal A Ahmed, Anfumbom Kfutwah

“…Conclusion: The contributions provided by the RPLDMT has played a key role in boosting the polio eradication efforts with a focus on enhancing human resource skills embracing new technologies and implementing real-time performance monitoring tools to improve data quality and strengthen data-driven decision-making processes essential for speeding up the progress towards eradicating polio in the region.…”
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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

“…So, by training the autoencoder on normal transaction data, the system can alert transactions with high reconstruction errors, meaning real-time anomalies. This proactive detection of anomalies reduces fraudulent activities significantly as most of the threats are recognized early. …”
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Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

“…The system uses an efficient Convolutional Neural Network that processes data from just two channels. These channels are automatically selected using a data-driven mechanism that identifies the most informative scalp regions based on each patient’s unique seizure patterns. …”
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Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data by Abu Bakker Siddique, Tanveer Alam Munshi, Nazmul Islam Rakin, Mahamudul Hashan, Sushmita Sarker Chnapa, Labiba Nusrat Jahan

“…The results suggest that the stacking model, which integrates CatBoost and Random Forest (RF) as base models and Polynomial Regression (PR) as the meta-model, achieves an R2 of 0.9846, an adjusted R2 of 0.9842, MAE of 11.20 and an RMSE of 22.747 on the testing dataset. …”
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Landscapes of Trade by Merten Nefs

“…It answers this question by analysing the outcomes of a Q-sort survey of the user experience of spatial typologies and data-driven maps in the recent policy process of planning logistics clusters. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…The most crucial factor is that the tourism industry grows based on information. Thus, tourism research requires a large amount of strong, up-to-date, timely, and relevant information to support and assist decision-making processes. …”
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Biofuels – On the way to sustainability?: Opinion by Martin Kaltschmitt

“…Consequently, such a concept could boost a more sustainable agricultural and forestry primary production</p><p>Furthermore, the following targets need to be achieved in the years to come in order to increase competitiveness, reduce negative environmental consequences and to promote acceptance of biofuels:</p><ul><li>Widening of the biomass resource basis; this includes better crops, the use of organic wastes as well as "new" biomass feedstocks (e.g. algae);</li></ul><ul><li>Technological advances in biomass production and downstream processing in order to increase efficiencies throughout the overall provision chain;</li></ul><ul><li>Better combination of biomass production and processing for the various markets to exploit synergy effects and minimize losses (e.g. promotion of the bio-refinery concept);</li></ul><ul><li>Improved assessment of sustainability criteria throughout the overall provision chain; this includes also aspects like impacts on biodiversity and soil properties, iLUC, child labor etc.…”
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