A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines by Steffen Kieß, Thomas Lang, Tomas Sauer, Andreas Michael Stock, Andrey Chernov, Yipeng Sun, Andreas K. Maier, Tomáš Faragó, Alexey Ershov, Gabriel Lefloch, Guilherme Silva, Tilo Baumbach, Simon Zabler, Astrid Hölzing, Kilian Dremel, Ali Riza Durmaz, Akhil Thomas, Ingo Manke, Nikolay Kardjilov, Tobias Arlt, Tak Ming Wong, Regine Willumeit-römer, Julian Moosmann, Berit Zeller-Plumhoff, Dieter Froning, Sven Simon

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Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings by Carlo Alberto Barbano, Luca Berton, Riccardo Renzulli, Davide Tricarico, Osvaldo Rampado, Domenico Basile, Marco Busso, Marco Grosso, Marco Grangetto

“…In this paper, we present the significant results from the Covid Radiographic imaging System based on AI (Co.R.S.A.) project, which took place in Italy. …”
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Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique by Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, Sahar K. Badri, Muhammad Zubair Asghar

“…Abstract This research presents a novel framework for distinguishing between actual and non-suicidal ideation in social media interactions using an ensemble technique. …”
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Transforming nano grids to smart grid 3.0: AI, digital twins, blockchain, and the metaverse revolutionizing the energy ecosystem by Herman Zahid, Adil Zulfiqar, Muhammad Adnan, Muhammad Sajid Iqbal, Anwar Shah, Usman Abbasi, Salah Eldeen Gasim Mohamed

“…This review also explores the role of AI in power grid which is to optimize energy scheduling, fault detection, and energy management. …”
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A novel, non-invasive AI-based telemonitoring system for heart failure: detection of undiagnosed hyperthyroidism in an asymptomatic patient by Allan Böhm, Julia Lucka, Amitai Segev, Marta Kollarova, Stefan Toth, Nikola Jajcay, Branislav Bezak

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Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines by John Manuel Buniel, Juancho Intano, Odinah Cuartero, Kenny John Grustan, Roey Sumaoy, Noel Reyes, Jose Calipayan, Rhodora Arreo, Dione Duero, Ivilyn Rosil, Shypres Agustin, Trisha Jane Diron, Raiya Jocella Pingol, Jean Vanessa Sapuras, Kimberly Miranda, Jesseca Julve, Marinel Josol, Kyla Rita Mercado, Liziel Latoja, Jasmine Cubillan, Pearl A. J. Fallado, Elvie Lyka Duran, Francis Isidore Ambray, Myriflor Miranda, Fae Mylene Etchon, Mia Melody Ramoso, Jehu Roeh Rubenial, Franklin Ganancias, Loth Orozco, Joel Gracia, Necie Notado, Geraldine Darao, Sylvester Cortes

“…In this regard, the present study seeks to empirically investigate the influence AI dependence toward students’ research productivity, and the mediating roles of research skills, disposition, and self-efficacy. …”
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Machine Learning Model for Predicting Pathological Invasiveness of Pulmonary Ground‐Glass Nodules Based on AI‐Extracted Radiomic Features by Guozhen Yang, Yuanheng Huang, Huiguo Chen, Weibin Wu, Yonghui Wu, Kai Zhang, Xiaojun Li, Jiannan Xu, Jian Zhang

“…Conclusion This study presents a simplified ML model using AI‐extracted radiomic features, which has strong predictive performance and biological interpretability for preoperative risk stratification of GGNs. …”
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The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges by Daniel Icaza Alvarez, Fernando González-Ladrón-de-Guevara, Jorge Rojas Espinoza, David Borge-Diez, Santiago Pulla Galindo, Carlos Flores-Vázquez

“…More sophisticated processes are being used in energy systems, including new digitalization models, particularly driven by artificial intelligence (AI) technology. In the present bibliographic review, 342 documents indexed in Scopus have been identified that promote synergies between AI and the energy transition (ET), considering a time range from 1990 to 2024. …”
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Ai margini del regno: il teatro negli Abruzzi tra Antico Regime e epoca pre-unitaria by Leonardo Spinelli

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What Is the Most Cost-Effective Breeding Program for Dairy Heifers—Timed AI, Estrous Detection, or a Combination of Both? by Klibs N. Galvão, Eduardo S. Ribeiro, Jose Eduardo P. Santos

“…This 3-page fact sheet presents information from recently published work that looked at the economics of different reproductive programs for breeding heifers that use timed AI only, estrus detection only, or a combination of both. …”
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Automation and Decision Support in Nephrology: An Expert System Based on AI and ML for the Assessment, Treatment, and Management of Focal Segmental Glomerulosclerosis by Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel

“…Focal segmental glomerulosclerosis (FSGS) presents significant challenges in diagnosis, treatment, and management due to its complex etiology and clinical variability. …”
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Multi-Agent System for Smart Roll-on/Roll-off Terminal Management: Orchestration and Communication Strategies for AI-Driven Optimization by Nicoletta González-Cancelas, Javier Vaca-Cabrero, Alberto Camarero-Orive

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Optimizing Foamed Bitumen Mixtures: AI-Based Determination of Ideal RAP and FBC Percentages Using HWTT and ITS Data by Ali Saleh, László Gáspár

“…The combination of reclaimed asphalt pavement (RAP) and foamed bitumen content (FBC) in bitumen mixtures presents a viable and economically advantageous approach to asphalt pavement construction. …”
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The application research of ancient calligraphy recognition model based on improved filtering and AI technology in calligraphy education in colleges and universities by Xing You

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AI-driven optimization of indoor environmental quality and energy consumption in smart buildings: a bio-inspired algorithmic approach by Rehab Salaheldin Ghoneim, Mazin Arabasy, Ashraf Nadheer Abdulhadi

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CT 3D Reconstruction Technology and AI Recognition Technology in the Application of Rib Fibrous Dysplasia: A Case Report by Zhengzuo Sheng, Jinghua Fan, Siyu Chen, Yushan Liu, Su Chen, Ruiheng Ding

“…CT 3D reconstruction technology and AI recognition suggested a rib tumor, requiring surgical removal. …”
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Fact or Fake? How News Title, Sentiment and Writing Style help AI to detect COVID-19 Fake News? by Chen-Shu Wang, Bo-Yi Li, Kai-Wen Wang, Zhi-Chi Lin

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Bayesian mediation analysis using patient-reported outcomes from AI chatbots to infer causal pathways in clinical trials. by Shihao Shen, Jun Yin

“…The results demonstrated low bias (<0.05), robust coverage (>85%), in estimation of the direct, indirect effect and other variables of the mediation pathways, underscoring its potential to improve clinical trial data accuracy and depth. By integrating AI chatbot-based PRO collection with Bayesian mediation analysis, this study presents a scalable and adaptive framework for quantifying causal pathways, enhancing the quality of patient-reported data, and supporting personalized, data-driven decision-making in clinical trials.…”
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Application of the Delphi methodology to forecast competencies oriented towards AI-driven disinformation detection in an expanded DigComp framework by Cristina M. Arribas, Rubén Arcos, Manuel Gertrudix

“…The growing development of capabilities, techniques, and technologies associated with Artificial Intelligence opens a new scenario full of opportunities for Foreign Information Manipulation and Interference, which presents an added challenge for detecting and countering disinformation content. …”
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‘It’s such a blackbox function’: Norwegian academic librarians’ ambivalent perceptions towards AI use in academic libraries and academia by Idunn Bøyum, Mahmood Khosrowjerdi

“…The lack of guidelines led to uncertainty in their roles, and practices varied across universities regarding AI applications for students. Conclusion: The study reveals academic librarians’ perceptions of AI as a double-edged sword, offering benefits but also presenting challenges, particularly related to ethical issues. …”
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