A comprehensive review of fiber-reinforced topology optimization for advanced polymer composites produced by automated manufacturing by Bence Szederkenyi, Norbert Krisztian Kovacs, Tibor Czigany

“…The main conclusions of the paper highlight the emerging trends in research, the potential of fiber-reinforced polymer composites designed by FRTO, the challenges facing the field, and the efficiency improvements and synergy with AI, indicating an evolving role for TO in structural optimization.…”
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Exploring a Software Framework for Posture Tracking and Haptic Feedback Control: A Virtual Reality-Based Approach for Upper Limb Rehabilitation on the Oculus Quest 2 by Joaquin Dillen, Antonio H. J. Moreira, João L. Vilaça

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Soft computing paradigm for climate change adaptation and mitigation in Iran, Pakistan, and Turkey: A systematic review by Muhammad Talha, A. Pouyan Nejadhashemi, Kieron Moller

“…This systematic review examines the application of artificial intelligence (AI), including machine learning (ML) and deep learning (DL), for climate change adaptation and mitigation in Iran, Pakistan, and Turkey. …”
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College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory by Qingquan Liu, Xuewei An, Wei Chen

“…Moreover, the management strategy based on DL and AI can help start-up enterprises accurately and timely predict risks, find their source of risks, and minimize potential losses. …”
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Die Synergie von Künstlicher Intelligenz und digitalem Lernen im Fremdsprachenerwerb by Sandra Niedermeier, Claudia Müller-Kreiner

“…It also discusses the potential benefits of combining AI and learning approaches with digital media for foreign language learning. …”
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Teaching ideal quantum measurement, from dynamics to interpretation by Allahverdyan, Armen E., Balian, Roger, Nieuwenhuizen, Theo M.

“…Born’s rule then arises from the conservation law for the tested observable; it expresses the frequency of occurrence of the final indications Ai of M in terms of the initial state of S. Von Neumann’s reduction amounts to updating of information due to selection of Ai. …”
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Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases by Arun Sharma, Sheeba Rani, Dinesh Gupta

“…It is one step ahead towards the implementation of AI-based methods for classification problems in biomedical imaging related to COVID-19.…”
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Design, Multiperspective Investigations, and Performance Analysis of Multirotor Unmanned Aerial Vehicle for Precision Farming by Darshan Kumar Jayaram, Vijayanandh Raja, Beena Stanislaus Arputharaj, Hussein A. Z. AL-bonsrulah

“…Precision farming with artificial intelligence (AI) has solved this problem. In this experiment, AI algorithms were used to lemon leaves. …”
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SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation by Hajeong Lee, Zhixiong Jin, Jiyoung Woo, Byeongjoon Noh

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The Validity and Reliability of Automatic Tooth Segmentation Generated Using Artificial Intelligence by Ammar Sh. Al-Ubaydi, Dheaa Al-Groosh

“…This study aimed at evaluating the precision of the segmented tooth model (STM) that was produced by the artificial intelligence (AI) program (CephX®) with an intraoral scan (IOS) and insignia outcomes. …”
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Collaborative Knowledge Infusion for Low-Resource Stance Detection by Ming Yan, Tianyi Zhou Joey, W. Tsang Ivor

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An institutional framework to support ethical fair and equitable artificial intelligence augmented care by Steven Dykstra, Matthew MacDonald, Rhys Beaudry, Dina Labib, Melanie King, Yuanchao Feng, Jacqueline Flewitt, Jeff Bakal, Bing Lee, Stafford Dean, Marina Gavrilova, Paul W. M. Fedak, James A. White

“…Abstract Coordinated access to multi-domain health data can facilitate the development and implementation of artificial intelligence-augmented clinical decision support (AI-CDS). However, scalable institutional frameworks supporting these activities are lacking. …”
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Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review by Roberta Pace, Vincenzo Schiano Di Cola, Maurilia Maria Monti, Antonio Affinito, Salvatore Cuomo, Francesco Loreto, Michelina Ruocco

“…We also investigated the potentiality of AI-based Decision Support Systems (DSSs) for improving the use of microorganisms to enhance soil health and fertility. …”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…AI can optimize simulation codes where computational bottlenecks arise from the time required to generate forward models. …”
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Analysis of Production Function in Layer Chicken Business in Soppeng District by Hasraful Anang, Syahriadi Kadir

“…Independent variables consisted of seedlings, labor, cage area, farmer experience, Newcastle Disease (ND) vaccine, Avian Influenza (AI) vaccine, concentrate feed, ground corn feed and bran feed. …”
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The Utility of ChatGPT in Educational Research—Potential Opportunities and Pitfalls by Turgut Karakose

“…Conclusion – The current era has witnessed groundbreaking advancements in AI-based technologies, which will for sure act as precursor for the development of more-developed AI-systems that could overcome the recent shortcomings of ChatGPT in aiding scientific research. …”
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Construction of a multienzyme cascade reaction system and its application in D-tagatose biosynthesis by Xiaoxiao Zhang, Jie Chu, Yuanqiang Lv, Xuan Li, Aijiao Yin, Yanhua Huang

“…These strains synthesized D-tagatose using β-Gal and L-AI with a conversion rate of 23.73%. Based on this, we constructed a multienzyme cascade pathway comprising β-Gal, L-AI, glucose isomerase (GI), fructose kinase (FK), D-tagatose-bisphosphate aldolase (GatZ), polyphosphate kinase (PPK), and phosphatase (PGP), further enhancing D-tagatose biosynthesis. …”
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Brigham Fracture Intervention Team Initiatives for Hospital Patients with Hip Fractures: A Paradigm Shift by Julie Glowacki, Mitchel B. Harris, Josef Simon, John Wright, Nikheel S. Kolatkar, Thomas S. Thornhill, Meryl S. LeBoff

“…Initially, the computer-based DI was more effective (67%) than the surgeon-driven AI (33%, 𝑃<.001). After introduction of a computer-assisted reminder, AI effectiveness increased to 68%. …”
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Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data Analysis by Boštjan Šumak, Maja Pušnik, Ines Kožuh, Andrej Šorgo, Saša Brdnik

“…These findings suggest that AI-driven tools can enhance researchers’ experiences in QDA while emphasizing the need to align tool selection with specific tasks and user preferences.…”
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OFC

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