Relationship between network topology and negative electrode properties in Wadsley–Roth phase TiNb2O7 by Naoto Kitamura, Hikari Matsubara, Koji Kimura, Ippei Obayashi, Yohei Onodera, Ken Nakashima, Hidetoshi Morita, Motoki Shiga, Yasuhiro Harada, Chiaki Ishibashi, Yasushi Idemoto, Koichi Hayashi

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The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data by Ji Luo, Wuyang Zhuo, Siyan Liu, Bingfei Xu

“…Therefore, the use of artificial intelligence and big data analysis can provide more precise insights into the trends and patterns of low-carbon economic development, as well as more effective predictions of future energy demand and resource supply, offering high practical value and scientific significance.…”
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A comparative study of statistical and intelligent classification models for predicting airlines passenger management satisfaction by Mohammed Alharithi, Ehab M. Almetwally, Omar Alotaibi, Marwa M. Eid, El-Sayed M. El-kenawy, Alaa A. Elnazer

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Enhancing Infection Control in ICUS Through AI: A Literature Review by Aditya Amit Godbole, Paras, Maanya Mehra, Sumitaksha Banerjee, Poulami Roy, Novonil Deb, Sarang Jagtap

“…The integration of artificial intelligence (AI) offers new opportunities to enhance infection control, from predicting outbreaks to optimizing antimicrobial use, ultimately improving patient safety and care in ICUs. …”
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Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models by Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, Yuehu Liu

“…From the perspective of artificial intelligence evaluation, the need to discover and explain the potential shortness of the evaluated intelligent algorithms/systems as well as the need to evaluate the intelligence level of such testees are of equal importance. …”
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Emerging Strategies in Cartilage Repair and Joint Preservation by Mircea Adrian Focsa, Sorin Florescu, Armand Gogulescu

“…Future research should focus on refining integrated therapeutic protocols, conducting long-term clinical evaluations, and embracing personalised treatment models driven by artificial intelligence and predictive algorithms.…”
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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

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Development of Chatbot-Based Oral Health Care for Young Children and Evaluation of its Effectiveness, Usability, and Acceptability: Mixed Methods Study by Kittiwara Pupong, Jaranya Hunsrisakhun, Samerchit Pithpornchaiyakul, Supawadee Naorungroj

“…MethodsThe chatbot was created using the artificial intelligence (AI) chatbot behavior change model, integrating behavioral change theories into content designed for 3‐5 minutes of daily use over 30 days. …”
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Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. by Hamidreza Moradi, H Timothy Bunnell, Bradley S Price, Maryam Khodaverdi, Michael T Vest, James Z Porterfield, Alfred J Anzalone, Susan L Santangelo, Wesley Kimble, Jeremy Harper, William B Hillegass, Sally L Hodder, National COVID Cohort Collaborative (N3C) Consortium

“…Then, the most accurate model is utilized by eXplainable Artificial Intelligence (XAI) algorithms to provide insights about the learned treatment combination impacts on the model's final outcome prediction.…”
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Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

“…Besides, the study employed Explainable Artificial Intelligence (XAI) to enable surveillance engineers to interpret black box models to understand the causes of abnormalities. …”
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Call to Action: Lead Pharmacy into the Next Decade by Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks

“…At the same time, our current environment requires attention to new challenges such as a multigenerational workforce and artificial intelligence. Call to Action Through our work as scholars, we can provide evidence-based, pertinent, timely solutions to address these issues, in ways that make it easily transferable to broad audiences. …”
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Q-learning global path planning for UAV navigation with pondered priorities by Kevin B. de Carvalho, Hiago de O.B. Batista, Leonardo A. Fagundes-Junior, Iure Rosa L. de Oliveira, Alexandre S. Brandão

“…However, recent years have testified to an increasing prevalence of artificial intelligence methodologies such as reinforcement learning. …”
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Exoscope-assisted spine surgery: Current applications and future directions–A short review by Tomas Ferreira, Sakshi Roy, Joecelyn Kirani Tan, Wireko Andrew Awuah, Vallabh Shet, Favour Tope Adebusoye, Adrenito Nicolas, Toufik Abdul-Rahman

“…Addressing these limitations by conducting large-scale clinical trials and exploring the integration of artificial intelligence (AI) could assist in realising the potential of exoscopes in spine surgery.…”
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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…The swift evolution of technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data has created an unparalleled need for self-powered sensors and devices. …”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…Convolutional neural networks (CNNs) are increasingly recognized as an important and potent artificial intelligence approach, widely employed in many computer vision applications, such as facial recognition. …”
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Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction by Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

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Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopath... by Alessandro Massaro, Gerardo Cazzato, Giuseppe Ingravallo, Nadia Casatta, Carmelo Lupo, Angelo Vacca, Florenzo Iannone, Francesco Girolamo

“…We assessed the potential for artificial intelligence (AI) to extract features such as density of endomysial microvessels based on automatic analysis of the CD31+ vascular network on muscle biopsy images. …”
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Corrigendum: Physical parameters and biological factors affect the abscopal effect of combining radiotherapy with immunotherapy: an update on preclinical works by Wangcai Ren, Jialing Wen, Gang Guo, Gang Guo, Wenchao Gu, Shenke Zhang, Shenke Zhang, Chang Liu, Chang Liu, Kensuke Osada, Takashi Shimokawa, Qiaojuan Wang, Qiaojuan Wang, Yue Wang, Yue Wang, Xuanzhang Tu, Chen Li, Li Sui, Liqiu Ma, Liqiu Ma, Liqiu Ma

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A deep learning analysis for dual healthcare system users and risk of opioid use disorder by Ying Yin, Elizabeth Workman, Phillip Ma, Yan Cheng, Yijun Shao, Joseph L. Goulet, Friedhelm Sandbrink, Cynthia Brandt, Christopher Spevak, Jacob T. Kean, William Becker, Alexander Libin, Nawar Shara, Helen M. Sheriff, Jorie Butler, Rajeev M. Agrawal, Joel Kupersmith, Qing Zeng-Trietler

“…We conducted a retrospective study of 856,299 patient instances from the Washington DC and Baltimore VA Medical Centers (2012–2019), using a deep neural network (DNN) and explainable Artificial Intelligence to examine the impact of dual-system use on OUD and how demographic and clinical factors interact with it. …”
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fragSMILES as a chemical string notation for advanced fragment and chirality representation by Fabrizio Mastrolorito, Fulvio Ciriaco, Maria Vittoria Togo, Nicola Gambacorta, Daniela Trisciuzzi, Cosimo Damiano Altomare, Nicola Amoroso, Francesca Grisoni, Orazio Nicolotti

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