The Positive and Negative Affect Schedule (PANAS) among Mexican married persons from Monterrey by José Moral

“…The distribution of the total score (Affective Intensity = AI) followed a normal curve. The central tendency in AI, PA and NA was equivalent between men and women. …”
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Engineering Activity and Engineering Thinking in the Context of Artificial Intelligence Expansion by V. S. Sheinbaum, V. S. Nikolskiy

“…The academic press is increasingly discussing the impact of Artificial Intelligence (AI) technologies on education and science. Researchers pay attention not only to the applied aspects of the use of AI technologies, but also to the issues of the ontological foundations of activity that are being transformed under the influence of new technologies. …”
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Artificial intelligence in thrombosis: transformative potential and emerging challenges by Abdulrahman Al Raizah, Mshabab Alrizah

“…Artificial intelligence (AI) presents promising opportunities to enhance the diagnosis, prediction, and management of VTE. …”
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Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes by Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski

“…Post-surgery intraocular lens calculations for Hill-RBF 3.0, Kane, PEARL-DGS, Ladas Super Formula AI (LSF AI), Hoffer QST, Karmona, and Nallasamy were performed. …”
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The Data Artifacts Glossary: a community-based repository for bias on health datasets by Rodrigo R. Gameiro, Naira Link Woite, Christopher M. Sauer, Sicheng Hao, Chrystinne Oliveira Fernandes, Anna E. Premo, Alice Rangel Teixeira, Isabelle Resli, An-Kwok Ian Wong, Leo Anthony Celi

“…However, the effectiveness and fairness of AI are critically dependent on the data it learns from. …”
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Involvement of RBP4 in Diabetic Atherosclerosis and the Role of Vitamin D Intervention by Wan Zhou, Shan-Dong Ye, Chao Chen, Wei Wang

“…Homeostasis model assessment of insulin resistance (HOMA-IR), homeostasis model assessment β-cell function index (HOMA-β), and atherogenic indexes (AI) were calculated. Compared with group NC, the levels of RBP4, TG, LDL-c, FPG, FINS, CRP, AI1, AI2, SBP, and HOMA-IR increased, while the levels of HDL-c, 25(OH)D, and HOMA-β decreased in groups DM1 and DM2. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…Abstract Background Artificial intelligence (AI) methods, including machine learning and deep learning, are increasingly applied in orthodontics for tasks like assessing skeletal maturity. …”
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Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain by Erkan Ozduran, Volkan Hancı, Yüksel Erkin, İlhan Celil Özbek, Vugar Abdulkerimov

“…Methods All three AI chatbots were asked the 25 most frequently used keywords related to LBP determined with the help of Google Trend. …”
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Questioning the Moratorium on Synthetic Phenomenology by Krzanowski Roman

“…Metzinger’s argument is based on a category error, a common mistake in AI discussions. For the sake of clarity in AI discourse, and for reasons explained in the paper, such an error should be at least pointed out, if not corrected. …”
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On Convergence of Infinite Matrix Products with Alternating Factors from Two Sets of Matrices by Victor Kozyakin

“…We consider the problem of convergence to zero of matrix products AnBn⋯A1B1 with factors from two sets of matrices, Ai∈A and Bi∈B, due to a suitable choice of matrices {Bi}. …”
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Understanding Artificial Intelligence: What It Is and How It Is Used in Agriculture by Daeun Choi, Omeed Mirbod, Uchechukwu Ilodibe, Steven Kinsey

“… The primary goal of this article is to provide background knowledge and terms that frequently come up in other articles about AI as well as in general use. The target audiences of this series include the general public, Extension educators, and farmers who want to know more about AI systems and their applications. …”
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Advances in Autism: a bibliometric analysis by Mehereen Chowdhury, Murdoc Gould, Latha Ganti

“…This paper provides a comprehensive overview of AI treatment research for Autism Spectrum Disorder (ASD) from 2007 to 2023, focusing on global contributions across countries, institutions, authors, and keywords. …”
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Strategies for preventing and managing osteoporosis in elderly breast cancer patients undergoing aromatase inhibitor therapy by Andi Tian, Chunyu Zhang

“…Consequently, aromatase inhibitors (AI) have become widely adopted as a primary endocrine therapy for breast cancer. …”
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Modelling and optimization of well hole cleaning using artificial intelligence techniques by Nageswara Rao Lakkimsetty, Hassan Rashid Ali Al Araimi, G. Kavitha

“…These AI methods analyze the impact of key drilling parameters—such as weight on bit (WOB), ROP, rock geomechanics, drilling fluid characteristics, and rig hydraulics—on hole cleaning. …”
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Artificial Intelligence vs. Human: Decoding Text Authenticity with Transformers by Daniela Gifu, Covaci Silviu-Vasile

“…This paper presents a comprehensive study on detecting AI-generated text using transformer models. Our research extends the existing RODICA dataset to create the Enhanced RODICA for Human-Authored and AI-Generated Text (ERH) dataset. …”
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Artificial Intelligence and Postpartum Hemorrhage by Sam J Mathewlynn, Mohammadreza Soltaninejad, Sally L Collins, Yang Pan

“…This article explores the application of AI in tackling PPH, including predictive modeling and risk stratification. …”
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INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH by Oleksandr V. Spivakovsky, Serhii A. Omelchuk, Vitaliy V. Kobets, Nataliia V. Valko, Daria S. Malchykova

“…To define the scope of AI application, there is a need to develop institutional policies for higher education institutions, which will allow the academic community to determine the appropriate scope of AI application in the educational process and prevent the use of AI in areas where ethical norms are violated. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

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Performance of Routine Helicobacter pylori Invasive Tests in Patients with Dyspepsia by Hsi-Chang Lee, Ting-Chang Huang, Chin-Lin Lin, Kuan-Yang Chen, Chung-Kwe Wang, Deng-Chyang Wu

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Mathematical Modeling of Cyberattack Defense Mechanism Using Hybrid Transfer Learning With Snow Ablation Optimization Algorithm in Critical Infrastructures by Mohamad Khairi Ishak

“…Consequently, there are many studies on identifying cyberattacks by utilizing AI methods. It is probable to utilize AI to help and support cybersecurity solutions to develop cybersecurity of significant infrastructures. …”
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