Seismic fault identification of deep fault-karst carbonate reservoir using transfer learning by Hanqing Wang, Han Wang, Kunyan Liu, Jin Meng, Yitian Xiao, Yanghua Wang

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Synthesis and characterization of indium-doped ZnO nanoparticles by coprecipitation method for highly photo-responsive UV light sensors by Yogesh B. Waghadkar, Govind Umarji, Shankar S. Kekade, Sunit Rane, Ratna chauhan, Muthupandian Ashokkumar, Suresh W. Gosavi

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Drought events influence nutrient canopy exchanges and green leaf partitioning during senescence in a deciduous forest by J. Touche, C. Calvaruso, P. De Donato, M.-P. Turpault

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Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review by Davide Calvaresi, Rachele Carli, Simona Tiribelli, Berk Buzcu, Reyhan Aydogan, Andrea Di Vincenzo, Yazan Mualla, Michael Schumacher, Jean-Paul Calbimonte

“…The paper recommends a bottom-up regulatory approach to create more effective and flexible ethical and legal guidelines for CPT applications.In conclusion, significant advancements have been made in CPT for eHealth, but ongoing research is essential to address current limitations, enhance user acceptability and adherence, and ensure ethical and legal soundness.…”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli, Rani Kumari, Adnan Akhunzada, Korhan Cengiz, Santosh Kumar Sharma, Rakesh Ranjan Kumar, Dinesh Kumar Sah

“…We proposed learning technique called fast discrete curvelet transform with wrapping (FDCT-WRP) to create feature set. This method is entitled extracting curve-like features and creating a feature set. …”
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Artificial intelligence chatbots as sources for patient education material on child abuse by Lily Nguyen, Viet Tran, Joy Li, Denise Baughn, Joseph Shotwell, Kimberly Gushanas, Sayyeda Hasan, Lisa Falls, Rocksheng Zhong

“…To date, no studies have evaluated the use of AI in creating patient education materials in childhood maltreatment and the field of psychiatry. …”
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Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study by Austin M Stroud, Susan H Curtis, Isabel B Weir, Jeremiah J Stout, Barbara A Barry, William V Bobo, Arjun P Athreya, Richard R Sharp

“…This optimism was tempered by concerns about potential near-term risks to both patients and themselves including misguiding clinical judgment, increasing clinical burden, introducing patient harms, and creating legal liability. ConclusionsOur results highlight the importance of considering specialist perspectives when deploying AI tools in psychiatric medicine.…”
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Leveraging the digital sustainable growth model (DSGM) to drive economic growth: Transforming innovation uncertainty into scalable technology by Ahmed Shalaby

“…The rapid advancement of artificial intelligence (AI), particularly with the emergence of Artificial General Intelligence (AGI), has intensified concerns about AI potentially overshadowing human autonomy and disrupting job markets. …”
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Challenges and Opportunities on Estrus Synchronization and Mass Artificial Insemination in Dairy Cows for Smallholders in Ethiopia by Belete Abebe, Mulugeta Alemayehu

“…However, the self-sufficiency in milk production is not yet attained due to the presence of a lot of limitations that hamper the success of ES and mass AI practice in many parts of the country such as improper selection of cows/heifers, inseminating a large number of cows/heifers in one day at a specific place (which creates stress for both AI technicians and female animals), absence of a data recording system, lack of clearly defined share of responsibilities among stakeholders, poor communication and collaboration among stakeholders, lack of motivations and skills of AI technicians, lack of support and readily available inputs, feed shortages, improper heat detection by smallholders and time of insemination, and lower reproductive performances of both indigenous and crossbred cows which consequently contributed to the unsuccessfulness of the technology.…”
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The impact of artificial intelligence capabilities on the sustainability with the mediating role of green innovation in the Jordanian hotels sector by Hassan N. Rawash, Maha Alkawaja, Marwan Albadarneh, Khaldoon Jahmani, Ammar Sala

“… The hotel industry in Jordan plays a crucial role in stimulating economic expansion by attracting tourists and creating job prospects. The industry can benefit from the use of Artificial Intelligence (AI) to improve sustainability through the promotion of green innovation, efficient resource utilization, and reduction of environmental harm. …”
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Content Analysis of Judges’ Sentiments Toward Artificial Intelligence Risk Assessment Tools by A. Fine, S. Le, M. K. Miller

“…Judges believe that AI has the potential to inform their decisions about bail and sentencing; however, it must be empirically tested and follow guidelines. …”
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Criminal Law Challenged by Crossing into Virtual Reality by Mahdi Karimi

“…The evolving landscape of neural technologies and AI necessitates a more precise and informed criminal policy approach for controlling criminal behaviors. …”
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Evaluating the potential risks of employing large language models in peer review by Lingxuan Zhu, Yancheng Lai, Jiarui Xie, Weiming Mou, Lihaoyun Huang, Chang Qi, Tao Yang, Aimin Jiang, Wenyi Gan, Dongqiang Zeng, Bufu Tang, Mingjia Xiao, Guangdi Chu, Zaoqu Liu, Quan Cheng, Anqi Lin, Peng Luo

“…AI detectors struggled to identify LLM‐generated reviews, with 82.8% of responses classified as human‐written by GPTzero. …”
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Transfer Learning-Based Super-Resolution for High-Precision Medical Imaging by Jae Yong Lee, Muhammad Ishfaq Hussain, Kyong-Ha Lee, Hyoung Seop Shim, Seung-Ho Han, Donghun Yang

“…This research addresses these challenges by proposing an AI-driven specialized super-resolution (SR) framework tailored for medical imaging. …”
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Influence of Leadership on Human–Artificial Intelligence Collaboration by Rodrigo Zárate-Torres, C. Fabiola Rey-Sarmiento, Julio César Acosta-Prado, Nelson Alfonso Gómez-Cruz, Dorys Yaneth Rodríguez Castro, José Camargo

“…This article contributes to the management of organizations by proposing a model that recognizes leadership as a dynamic facilitator between HI and AI, integrating transdisciplinary knowledge of management, technological ethics, and cognitive science, and proposing an ethical interrelationship in the decision-making architectures between HI and AI. …”
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The Future of Artificial Intelligence and Genetic Insights in Precision Cardiovascular Medicine: A Comprehensive Review by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran, Hanjia Gao

“…Much research is going into how to use AI analysis techniques to help with development. …”
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FEBS‐IUBMB‐ENABLE Conference crosses seven seas: Report on the 3rd International Molecular Biosciences PhD and Postdoc Conference—“Artificial intelligence: reshaping biomedical and... by Kaustuv Ghosh, Dayang Asyiqin

“…The conference included a 2‐day scientific symposium subdivided into four sessions: “AI in metabolic diseases, population and global health”, “AI in neuroscience and mental health”, “AI in respiratory and infectious diseases” and “AI in skin diseases and wound repair”. …”
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What percentage of secondary school students do their homework with the help of artificial intelligence? - A survey of attitudes towards artificial intelligence by Mátyás Turós, Róbert Nagy, Zoltán Szűts

“…Our findings have three practical implications: 1) they highlight the need for targeted educational programs to develop ethical AI use, 2) they assist teachers in identifying AI-generated texts, and 3) they draw attention to gender differences in AI usage.…”
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The Potential Impact of ChatGPT on Education: Using History as a Rearview Mirror by Mengqian Wang (王梦倩), Wenge Guo (郭文革)

“…Highlights This review compares generative artificial intelligence with five representative educational technologies in history and concludes that AI technology can become a knowledge producer and thus can be utilized as educative AI to enhance teaching and learning outcomes. …”
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A CASE STUDY OF A STUDENT PROJECT: USING ARTIFICIAL INTEL LIGENCE TO DEVELOP AN INDIVIDUAL PROGRAM TO STUDY ENGLISH by I.P. Ryabkova

“…The following AI system capabilities were tested: creating a weekly study plan for English language learning over three months to move from level A2 to level B1, presenting a new theme, selecting linguistic material to study, simplifying and adapting a text to a specific language level, using AI as a virtual conversation partner, writing an informal letter, answering student questions to provide additional explanations, and creating tests to assess skill proficiency. …”
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