EILnet: An intelligent model for the segmentation of multiple fracture types in karst carbonate reservoirs using electrical image logs by Zhuolin Li, Guoyin Zhang, Xiangbo Zhang, Xin Zhang, Yuchen Long, Yanan Sun, Chengyan Lin

“…In this paper, the electrical image logs network (EILnet)—a deep-learning-based intelligent semantic segmentation model with a selective attention mechanism and selective feature fusion module—was created to enable the intelligent identification and segmentation of different types of fractures through electrical logging images. …”
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Opportunities, Challenges, and Future Directions for Generative Artificial Intelligence in Library Information Literacy Education: A Scoping Review by Fan YUAN, Jia LI

“…[Purpose/Significance] In the rapidly evolving digital landscape, generative artificial intelligence (GenAI) has emerged as a transformative force in information literacy (IL) education, presenting unprecedented opportunities and challenges for library-based learning environments. …”
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Beyond genomics: artificial intelligence-powered diagnostics for indeterminate thyroid nodules—a systematic review and meta-analysis by Karishma Jassal, Karishma Jassal, Melissa Edwards, Afsaneh Koohestani, Afsaneh Koohestani, Wendy Brown, Jonathan W. Serpell, Jonathan W. Serpell, James C. Lee, James C. Lee

“…IntroductionIn recent years, artificial intelligence (AI) tools have become widely studied for thyroid ultrasonography (USG) classification. …”
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Diagnostic accuracy of artificial intelligence for the screening of prostate cancer in biparametric magnetic resonance imaging: a systematic review by Oksana V. Kryuchkova, Elena V. Schepkina, Natalia A. Rubtsova, Boris Y. Alekseev, Anton I. Kuznetsov, Svetlana V. Epifanova, Elena V. Zarya, Ali E. Talyshinskii

“…CONCLUSIONS: Artificial intelligence demonstrated promising results. However, the clinical applicability may require more intensive expert inspection in healthcare institutions and evaluation of efficacy in prospective studies.…”
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Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care by Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

“…The program used an artificial intelligence (AI)–driven conversational agent to deliver clinician-written content via machine learning, with clinician oversight and user support. …”
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The Wicked Nature of AGI by Yeliz Figen Doker

“…Artificial general intelligence (AGI) represents an unprecedented ambition within the field of technology, aiming to create systems capable of matching or surpassing human abilities across multiple domains. …”
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In‐Situ Rheology Measurements via Machine‐Learning Enhanced Direct‐Ink‐Writing by Robert D. Weeks, Jennifer M. Ruddock, J. Daniel Berrigan, Jennifer A. Lewis, James. O. Hardin

“…However, an iterative approach, using random selection or constant expert guidance, is still used to create printable inks and optimize printing parameters by expending significant amounts of time, materials, and effort. …”
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A model of knowledge management and cultural intelligence to reduce talent deficit in Brazil and Peru: a comparative study with Germany by Cristiano Trindade De Angelis

“… This paper raises the discussion of the importance to create relevant knowledge and experience by developing the Culture Intelligence - CI of Brazilian students and has the follow objectives: i) to propose a model that can capture the relationship between culture, knowledge and intelligence and ii) to provide qualitative evidence of its effectiveness to reduce brain drain. …”
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Artificial Intelligence Based Interactive Learning Media to Improve Science and Social Learning Outcomes of Fourth Grade Elementary School by Maisya Nafidatul Fu’adah, Ika Ratnaningrum

“…This research aims to create an interactive learning media based on artificial intelligence to improve the learning outcomes of grade IV elementary school. …”
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A Novel Scheme for Managing Multiple Context Transitions While Ensuring Consistency in Text-to-Image Generative Artificial Intelligence by Hyunjo Kim, Jae-Ho Choi, Jin-Young Choi

“…As a result, many artificial intelligence (AI) systems for generating images from text have been developed. …”
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Emotional intelligence approach as a predictor of job satisfaction among midwives in Northern Iran: A descriptive-correlational study by Fatemeh Zolfaghary, Hajar Pasha, Fatemeh Bakouei, Reza MashaghiTabari, Hajar Adib-Rad

“…BACKGROUND: Emotional intelligence (EI) is an important skill for midwives. …”
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Human creativity versus artificial intelligence: source attribution, observer attitudes, and eye movements while viewing visual art by Caitlin V. Cunningham, Gabriel A. Radvansky, James R. Brockmole

“…IntroductionArtificial Intelligence (AI) has the capability to create visual images with minimal human input, a technology that is being applied to many areas of daily life. …”
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Cyber threat intelligence for smart grids using knowledge graphs, digital twins, and hybrid machine learning in SCADA networks by Nabeel Al-Qirim, Munir Majdalawieh, Anoud Bani-hani, Hussam Al Hamadi

“…In the SCADA (Supervisory Control and Data Acquisition) network of a smart grid, the network switch is connected to multiple Intelligent Electronic Devices (IEDs) that are based on protective relays. …”
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Use of Artificial Intelligence in Ultrasound Diagnosis of Fetal Central Nervous System Anomalies Between 19 and 22 Weeks’ Gestation by A. V. Pomortsev, A. N. Redko, E. A. Barsukova, M. A. Matosyan, J. Yu. Dyachenko, R. A. Dyachenko, I. A. Beloglyadova, M. V. Yanaeva, V. T. Babayan

“…Introduction: The use of modern technologies, including artificial intelligence (AI), in medical imaging is a current hot topic. …”
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Specific features of designing a database for neuro-oncological 3D MRI images to be used in training artificial intelligence by E. V. Amelina, A. Yu. Letyagin, B. N. Tuchinov, N. Yu. Tolstokulakov, M. E. Amelin, E. N. Pavlovsky, V. V. Groza, S. K. Golushko

“…The database was used to create artificial intelligence systems with the “physician assistant” functions for preoperative MRI diagnostics in neurosurgery.…”
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Detection of Body Packs in Abdominal CT scans Through Artificial Intelligence; Developing a Machine Learning-based Model by Sayed Masoud Hosseini, Seyed Ali Mohtarami, Shahin Shadnia, Mitra Rahimi, Peyman Erfan Talab Evini, Babak Mostafazadeh, Azadeh Memarian, Elmira Heidarli

“…This study aimed to develop a new diagnostic method using artificial intelligence to detect body packs in real-time Abdominal computed tomography (CT) scans. …”
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Safety and User Experience of a Generative Artificial Intelligence Digital Mental Health Intervention: Exploratory Randomized Controlled Trial by Timothy R Campellone, Megan Flom, Robert M Montgomery, Lauren Bullard, Maddison C Pirner, Aaron Pavez, Michelle Morales, Devin Harper, Catherine Oddy, Tom O'Connor, Jade Daniels, Stephanie Eaneff, Valerie L Forman-Hoffman, Casey Sackett, Alison Darcy

“… BackgroundGeneral awareness and exposure to generative artificial intelligence (AI) have increased recently. This transformative technology has the potential to create a more dynamic and engaging user experience in digital mental health interventions (DMHIs). …”
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Application of artificial intelligence system based on control theory feedback model in ultrasound diagnosis and treatment medical insurance payment by CUI Xiaomei, HUANG Shengxi, ZHANG Qinghong, XU Lijuan, LI Junmei, LYU Xiaoping, HUANG Yanli, CUI Junfang, LI Tingrui

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Generative AI for College Students: A Collaboratively Developed Online Microcourse on GenAI in the College Classroom by Amber Willenborg, Tessa Withorn

“…Microlearning offers a robust avenue for delivering instruction created by multiple experts, while also considering instructors’ time constraints around addressing both course content and AI literacy.…”
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An Ethical Debate in the Philosophy of Information: Is It Possible to Combine or Reconcile Multiple Ethical Theories in a Common Perspective in Artificial Intelligence? by Nesibe Kantar

“…The main purpose of this article is how, although different approaches they are, theories based on the common nature of human beings can be combined for the same purpose and Thanks to the 'ethical family unity' structure they have created under the ethical umbrella, it is questioned how they will determine the ethical components that can be applied to intelligence systems like AI for the solution of the common problems of the information age.…”
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