Assessment of Medical Students\' Acceptance, Knowledge, Attitudes, and Readiness toward Artificial Intelligence by Sobhan Rahimi Esbo, Maryam Ghaemi-Amiri, Mostafa Mostafazadeh-Bora

“…Background and purpose: Artificial intelligence (AI) is transforming numerous fields, particularly healthcare. …”
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Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of... by Yutong Wen, Vin Yeang Choo, Jan Horst Eil, Sylvia Thun, Daniel Pinto dos Santos, Johannes Kast, Stefan Sigle, Hans-Ulrich Prokosch, Diana Lizzhaid Ovelgönne, Katarzyna Borys, Judith Kohnke, Kamyar Arzideh, Philipp Winnekens, Giulia Baldini, Cynthia Sabrina Schmidt, Johannes Haubold, Felix Nensa, Obioma Pelka, René Hosch

“…These FHIR profiles, which cover 104 anatomical landmarks, 8 body regions, and 8 tissues, enable the interoperable usage of the results of AI segmentation models, providing a direct link between image studies, series, and measurements. …”
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A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

“…The Neural Network algorithms are the most popular, having 47 % of the total usage. At the same time, Long Short-Term Memory, Ensemble Learning, Support Vector Machine, and Random Forest accounted for 15 %, 12 %, 7 %, and 6 % of usage, respectively. …”
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Analysis of ChatGPT User Acceptance Among Gen Z using UTAUT2 and TPB Methods by Defri Indra Putra, Mona Fronita, Angraini Angraini, Megawati Megawati

“…The rapid advancement of digital technology has led to various innovations, one of which is ChatGPT—a language model powered by artificial intelligence (AI) that has gained significant popularity among younger generations, particularly Generation Z. …”
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Preparation of purine functionalized biochar and analysis of nephrotoxic substances in traditional Chinese medicine by Yanhui Ge, Xinya Xu, Yuanru Zheng

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Design and Implementation of ESP32-Based Edge Computing for Object Detection by Yeong-Hwa Chang, Feng-Chou Wu, Hung-Wei Lin

“…A deep learning model for object recognition is selected, trained, and deployed on the edge server. …”
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GDRMA: Graph Neural Networks for Document Retrievals With Mean Aggregation by Shigeru Maya

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Comprehensive Insights into Global Mineral Commodities: Analysis, Visualization, and Intelligent Assistance by Trupti Mohanty, Hasan M. Sayeed, Chitrasen Mohanty, Taylor D. Sparks

“…It also features an artificial-intelligence assistant powered by a large language model (LLM) and a retrieval–augmented generation (RAG) system, enabling users to query various aspects of raw materials, including reserves, production, market share, usage, price, substitutes, recycling, and more. We evaluated multiple open-source LLMs for the RAG task and selected the best-performing model, llama-3, to implement in the system. …”
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Disappearing Bodies, Disappearing Objects: What Years and Years Can Teach Us About Design by Saul Pandelakis

“…This essay examines three selected objects (a meal tray, a vocal AI and a drone) which potentially condense a great deal of the current criticism of technology. …”
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Role of additive manufacturing in developing functionally graded materials for nuclear applications by Amal Sasi, Madhulika Srivastava, K. Dash

“…A comparative analysis of the manufacturing capabilities of the additive manufacturing techniques, along with the usage of advanced computational techniques such as AI in optimising process parameters for desirable strength and low defect generation, is also presented. …”
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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…Examples of possible developments and of the work already underway can be found both in the stimulated contributions and in the articles selected as a result of the review process. The paper “Grand Challenges in AI and Education Beyond 2030” [8] by Beverly Woolf, Danielle Allessio, Sai Gattupalli, Injila Rasul, William Lee, Ivon Arroyo, points out how the usage of AI requires new skills to be developed by learners, so to be able to augment their capabilities and perform jobs with more efficiency and effectiveness. …”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

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Enhanced efficiency fertilizers: Overview of production methods, materials used, nutrients release mechanisms, benefits and considerations by Christian O. Asadu, Chinonso Anthony Ezema, Benjamin Nnamdi Ekwueme, Chijioke Elijah Onu, Ikechukwu Maxwell Onoh, Thomas Adejoh, Timothy Prince Chidike Ezeorba, Churchill Chisom Ogbonna, Patricia Ihuaku Otuh, Japheth O. Okoye, Umeagukwu O. Emmanuel

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Molecular characterization of the ryanodine receptor from Adoxophyes orana and its response to lethal and sublethal doses of chlorantraniliprole by Li-na SUN, Yan-di LIU, Huai-jiang ZHANG, Wen-tao YAN, Qiang YUE, Gui-sheng QIU

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Modelling economics students’ use of ChatGPT and academic performance: insights from self-determination theory and epistemic curiosity by Bernard Yaw Sekyi Acquah, Francis Arthur, Iddrisu Salifu, Enoch Mensah, Ernest Opoku, Sharon Abam Nortey, Solomon Adjatey Tetteh

“…EP directly influenced DFL, SE and BAF and moderated the positive influence of ChatGPT usage on DFL and BAF. FsQCA results revealed four configurations for achieving high AP. …”
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Alteplase vs. Tenecteplase: An In-depth Analysis of Their Relative Effectiveness in Treating Acute Ischemic Stroke by Muhammad Junaid Azhar, Ayesha Imran Butt

“…Alteplase is the sole FDA-approved thrombolytic drug in AIS within the first 4.5 hours. Despite its potential for disability-free recovery, its usage is constrained by a brief time window and adverse effects, notably a 6% risk of symptomatic bleeding. …”
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