The research progress on effective connectivity in adolescent depression based on resting-state fMRI by Xuan Deng, Jiajing Cui, Jinyuan Zhao, Jinji Bai, Junfeng Li, Kefeng Li

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Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience by Mingrong Zuo, Xiang Xing, Linmao Zheng, Hao Wang, Yunbo Yuan, Siliang Chen, Tianping Yu, ShuXin Zhang, Yuan Yang, Qing Mao, Yongbin Yu, Ni Chen, Yanhui Liu

“…Abstract Multiple artificial intelligence systems have been created to facilitate accurate and prompt histopathological diagnosis of tumors using hematoxylin-eosin-stained slides. …”
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Bridging the Gap Between Machine Learning and Medicine: A Critical Evaluation of the Dworak Regression Grade in Rectal Cancer by Camille Raets, Chaimae El Aisati, Amir L. Rifi, Mark De Ridder, Koen Putman, Johan De Mey, Alexandra Sermeus, Kurt Barbe

“…The growing popularity of artificial intelligence (AI) has increased its widespread adoption in medicine. …”
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Gender and age characteristics and atrial fibrillation during long-term telemonitoring of the ECG by V.M. Bogomaz, I.O. Berdnyk, L.I. Lysa

“…The primary analysis of the records was carried out using Cardio.ai artificial intelligence algorithms, re-decryption and validation by certified doctors. …”
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Evolution and Recent Radiation Therapy Advancement in Uganda: A Precedent on How to Increase Access to Quality Radiotherapy Services in Low- and Middle-Income Countries by Awusi Kavuma, Solomon Kibudde, Daniel Kanyike, Joseph Kigula-Mugambe, Tianyu Zhao, Hiram Gay, Baozhou Sun, Jackson Orem

“…As we entered the second decade of the millennium, the Uganda Cancer Institute (UCI) witnessed a progression in sophisticated radiotherapy services, including high-dose-rate brachytherapy, initiation of intensity modulated radiation therapy (IMRT)/volumetric modulated arc therapy (VMAT), and use of artificial intelligence. These advancements improved the efficiency/precision of treatments and the time patients spent undergoing therapy. …”
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Machine Knowledge and Human Cognition by Fashen Li, Lian Li, Jianping Yin, Liang Huang, Qingguo Zhou, Ning An, Yong Zhang, Li Liu, Jialin Zhang, Kun Kuang, Lei Yang, Zhixi Wu, Lianchun Yu

“…These issues are of great significance to the development of artificial intelligence.…”
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Gamma-ray attenuation characteristics of polypropylene filled with nano-sized and bulk Bi2O3 and CuO by Gouda Mona M., Shebly Mona, Habanjar Khulud, Obeid Amro, Awad Ramadan, Badawi Mohamed S.

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Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study by Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni

“…Two state-of-the-art deep learning approaches (CNN and LSTM) were combined based on features (terms) selected from term frequency–inverse document frequency (TF-IDF), Word2vec, and BERT. Explainable artificial intelligence (XAI) was used to extract key factors that contribute to suicidal ideation in order to provide a reliable and sustainable solution. …”
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Big Data Governance Challenges Arising From Data Generated by Intelligent Systems Technologies: A Systematic Literature Review by Yunusa Adamu Bena, Roliana Ibrahim, Jamilah Mahmood, Arafat Al-Dhaqm, Ahmad Alshammari, Maged Nasser, Muhammed Nura Yusuf, Matthew O. Ayemowa

“…The exponential growth of intelligent systems technologies, including Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), and Smart Connected Products, has intensified the difficulties of data governance. …”
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Trends of Soil and Solution Nutrient Sensing for Open Field and Hydroponic Cultivation in Facilitated Smart Agriculture by Md Nasim Reza, Kyu-Ho Lee, Md Rejaul Karim, Md Asrakul Haque, Emmanuel Bicamumakuba, Pabel Kanti Dey, Young Yoon Jang, Sun-Ok Chung

“…Key technologies include electrochemical and optical sensors, Internet of Things (IoT)-enabled monitoring, and the integration of machine learning (ML) and artificial intelligence (AI) for predictive modeling. Blockchain technology is also emerging as a tool to enhance transparency and traceability in nutrient management, promoting compliance with environmental standards and sustainable practices. …”
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Analysis of Key Technologies and Applications of Meteorological Service for Offshore Wind Power by Boni WANG, Feng WANG, Hangcheng GE, Fang HUANG, Xiaozhuo SANG, Min ZHANG

“…By utilizing the data assimilation techniques and state-of-the-art artificial intelligence methods, combined with numerical models, it developed key technologies such as wind-wave-current forecasting for offshore wind farms, intelligent forecasting of significant wave height and storm surges, as well as high-impact weather monitoring and forecasting alerts. …”
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Do you think medicines can be prescribed in a more eco-directed, greener way? A qualitative study based on public and prescriber focus groups on the impact of pharmaceuticals in Sc... by Claire Anderson, Lydia Niemi, Naoko Arakawa, Mark Taggart, Stuart Gibb, Sharon Pfleger

“…Focus groups were digitally recorded and transcribed verbatim using an artificial intelligence system, then anonymised and thematically analysed using NVivo software. …”
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A Case Study on Multi-Real-Option-Integrated STO-PF Models for Strengthening Capital Structures in Real Estate Development by Jung Kyu Park, Jun Bok Lee, Young Mee Ahn, Ga Young Yoo

“…Additionally, in-depth research is necessary to integrate emerging technologies, such as artificial intelligence and machine learning, into multi-real-option-based financial platforms. …”
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Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study by İbrahim Sarbay, Göksu Bozdereli Berikol, İbrahim Ulaş Özturan

“…OBJECTIVES: Artificial intelligence companies have been increasing their initiatives recently to improve the results of chatbots, which are software programs that can converse with a human in natural language. …”
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Tropospheric NO₂: Anthropogenic Influence, Global Trends, Satellite Data, and Machine Learning Application by Valeria Ojeda-Castillo, Mario Alfonso Murillo-Tovar, Leonel Hernández-Mena, Hugo Saldarriaga-Noreña, María Elena Vargas-Amado, Enrique J. Herrera-López, Jesús Díaz

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Thermally Stable Ag2Se Nanowire Network as an Effective In‐Materio Physical Reservoir Computing Device by Takumi Kotooka, Sam Lilak, Adam Z. Stieg, James K. Gimzewski, Naoyuki Sugiyama, Yuichiro Tanaka, Takuya Kawabata, Ahmet Karacali, Hakaru Tamukoh, Yuki Usami, Hirofumi Tanaka

“…Abstract The artificial intelligence (AI) paradigm shifts from software to implementing general‐purpose or application‐specific hardware systems with lower power requirements. …”
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Automated on-site broiler live weight estimation through YOLO-based segmentation by Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El-Messery, Tarek Abd El-Hafeez, Mohamed F. Abdelshafie, Gomaa G. Abd El-Wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel

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Evaluation of Chat Generative Pre-trained Transformer and Microsoft Copilot Performance on the American Society of Surgery of the Hand Self-Assessment Examinations by Taylor R. Rakauskas, BS, Antonio Da Costa, BS, Camberly Moriconi, BS, Gurnoor Gill, BA, Jeffrey W. Kwong, MD MS, Nicolas Lee, MD

“…Purpose: Artificial intelligence advancements have the potential to transform medical education and patient care. …”
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A hammerhead ribozyme selects mechanically stable conformations for catalysis against viral RNA by Man Lu, Zhiqiang Cao, Luoan Xiong, Hongying Deng, Kangkang Ma, Ning Liu, Yanding Qin, Shen-Bo Chen, Jun-Hu Chen, Yao Li, Yijin Liu, Zhongbo Yu

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Identification of Immune-Related lncRNA Pairs and Construction and Validation of a New Prognostic Signature of Colon Cancer by Minxian Xu, Qing Li, Jianfang Zhang, Hui Xie

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