ChatGPT as a data analyst: an exploratory study on AI-supported quantitative data analysis in empirical research by Dimitri Prandner, Daniela Wetzelhütter, Sönke Hese

“…To address these challenges, generative artificial intelligence, such as ChatGPT, can now be employed as ‘assistants’—with both associated risks and benefits. …”
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LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction by Zhenlin Qin, Pengfei Zhang, Leizhen Wang, Zhenliang Ma

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Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational medicine by Liangyu Li, Xuewen Qin, Guangwei Wang, Siyi Li, Xudong Li, Lizhong Guo, Javier Santos, Ana María Gonzalez-Castro, Yanyang Tu, Yi Qin

“…A neural network model was created based on these feature data of the blood cell population. Artificial intelligence algorithms can label susceptible populations for digestive tract cancer with an accuracy rate of over 80 %. …”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition, the research conducted can be an opening or preliminary research on the design of an early detection system for diabetic foot complications using deep learning artificial intelligence-based thermography in Indonesia. …”
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

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TTSNet: Transformer–Temporal Convolutional Network–Self-Attention with Feature Fusion for Prediction of Remaining Useful Life of Aircraft Engines by Zhaofei Li, Shilin Luo, Haiqing Liu, Chaobin Tang, Jianguo Miao

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Targeting ferroptosis in prostate cancer management: molecular mechanisms, multidisciplinary strategies and translational perspectives by Hubo Yang, Xuefeng Zhang, Zongming Jia, He Wang, Jixiang Wu, Xuedong Wei, Yuhua Huang, Wenying Yan, Yuxin Lin

“…The state-of-the-art techniques for ferroptosis-related data integration, knowledge identification, and translational application to PCa theranostics were discussed from a combinative perspective of artificial intelligence-powered modelling and advanced material-oriented therapeutic scheme design. …”
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Lock-out, lock-in, and networked sovereignty. Resistance and experimentation in Africa’s trajectory towards AI by Iginio Gagliardone

“…But, following Mbembe, it is by reconnecting with the epistemic traditions that characterized pre-colonial Africa (Mbembe, 2020) that it becomes possible to experiment with new forms of resistance and value making that seem more attuned to some of the realities brought by digital technologies, and Artificial Intelligence more specifically. As he explained, “precolonial Africa might not have been a borderless world. …”
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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

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Generative ecodesign for mechanical products: A design workflow by Amos Wei Lun Lee, Kevin Kai Wern Seah, Bing Feng Ng, Ee Teng Zhang, Wen Feng Lu, Jonathan Sze Choong Low

“…Harnessing advancements in artificial intelligence, generative design holds great potential to support designers in their ecodesign efforts by enabling them to explore design solutions beyond the limits of their imagination and expertise. …”
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Using ChatGPT for medical education: the technical perspective by Kwan Yin Chan, Tsz Hon Yuen, Michael Co

“…The rapid advancement of artificial intelligence, such as the recent introduction of ChatGPT, offers innovative conversational experiences with computer-generated responses. …”
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Challenges and Opportunities in Fog Computing Scheduling: A Literature Review by Wu Chia Chuan, Shams Ul Arfeen Laghari, Selvakumar Manickam, Erum Ashraf, Shankar Karuppayah

“…Nonetheless, both IoT and Artificial Intelligence (AI)-based applications face obstacles concerning the availability of computing resources, security, and constraints on energy consumption. …”
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Enhancing Chronic Disease Prediction in IoMT-Enabled Healthcare 5.0 Using Deep Machine Learning: Alzheimer’s Disease as a Case Study by Rabia Javed, Tahir Abbas, Tariq Shahzad, Khadija Kanwal, Sadaqat Ali Ramay, Muhammad Adnan Khan, Khmaies Ouahada

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Learning transactions representations for information management in banks: Mastering local, global, and external knowledge by Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey Savchenko, Alexey Zaytsev

“…In today’s world, banks use artificial intelligence to optimize diverse business processes, aiming to improve customer experience. …”
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Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

“…Study focus: The study focused on modelling and prediction of the isotope composition (δ¹⁸O and δ²H) of coastal groundwater using Artificial Intelligence (AI) models utilizing readily available groundwater hydrochemical dataset. …”
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Advancements in Liposomal Nanomedicines: Innovative Formulations, Therapeutic Applications, and Future Directions in Precision Medicine by Izadiyan Z, Misran M, Kalantari K, Webster TJ, Kia P, Basrowi NA, Rasouli E, Shameli K

“…The integration of artificial intelligence and machine learning in optimizing liposomal designs promises to revolutionize personalized medicine, paving the way for innovative strategies in disease detection and therapeutic interventions. …”
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Treatment Options for Advanced Non-Small Cell Lung Cancer After Failure of Previous Immune Checkpoint Inhibitors and Chemotherapy: Meta-Analysis of Five Randomized Controlled Trial... by Andrea Messori, Andrea Ossato, Lorenzo Gasperoni, Luna Del Bono, Alessandro Inno, Vera Damuzzo

“…Our analysis used an artificial intelligence software program that reconstructs individual patient data from Kaplan–Meier curves. …”
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Electromagnetic design, sensitivity analysis, optimization and Multiphysics capability of rare-earth-free synchronous reluctance motor for electric trike vehicle by V Rajini, VS Nagarajan, Karunya Harikrishnan, Mohan Lal Kolhe

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Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers by Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohib Ullah

“…Utilizing FastText word embeddings and explainable artificial intelligence techniques, we introduce a model that enhances both the interpretability and accuracy in detecting misogynistic language. …”
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The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

“…An early CKD detection would help the patient recover faster and easier. Using an artificial intelligence system that can effectively aid in CKD detection in time and suggest the required food nutrition for its treatment and recovery would reap immense benefits for healthcare professionals as well as the patient. …”
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