Relationship Among Postoperative Arthritis, Ischemic Changes in Subchondral Bone on Postoperative MR Images, and Central Impaction Fragment on Preoperative Computed Tomography Scan... by Ryoichi Shibuya, MD, PhD, Koji Ueda, MD, Satoshi Yamamoto, MD, PhD, Takeshi Fuji, MD, PhD

“…T2W and short tau inversion recovery (STIR) MRI were also evaluated. Results: Ten patients had type C1, 5 had C2, and 20 had C3. …”
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Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferatio... by Dan Zeng, Jiayan Zhang, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Youjia Wen, Xiaofang Ren, Xinwei Wang, Xiaodi Zhang, Zhuoyue Tang

“…Abstract Objective To develop and validate a model integrating dual-layer detector spectral computed tomography (DLCT) three-dimensional (3D) volume of interest (VOI)-based quantitative parameters and clinical features for predicting Ki-67 proliferation index (PI) in pancreatic ductal adenocarcinoma (PDAC). …”
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Prostate-specific antigen and prostate-specific antigen kinetics in predicting 18F-sodium fluoride positron emission tomography-computed tomography positivity forfirst bone metasta... by James Yoon, Leslie Ballas, Bhushan Desai, Hossein Jadvar

“…We evaluated the association between serum prostate specific antigen (PSA) level and kinetics to predict 18F-sodium fluoride positron emission tomography-computed tomography (18F-NaF PET-CT) positivity forfirst bone metastases in men with biochemical recurrence after radical prostatectomy. …”
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The information subsystem of the regional situational centerʼs fire hazard prevention function by O.V. Maievskyi, Yu.B. Brodskyi, M.O. Khokhlov

“…During the research, the methods of the system approach, analysis and synthesis, mathematical modeling, tools of probability theory, numerical methods, and neural network technologies were applied, on the basis of which the principle of functioning of the information subsystem, the basis of which is formed by the computational algorithm, was formed and revealed. A model of the warning information subsystem is proposed in the form of a distributed structure, consisting of two decisive modules that simultaneously analyze and evaluate the data of incoming information channels for timely warning about the risk of fire. …”
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Closed-Loop Aerial Tracking with Dynamic Detection-Tracking Coordination by Yang Wang, Heqing Huang, Jiahao He, Dongting Han, Zhiwei Zhao

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3D-BCLAM: A Lightweight Neurodynamic Model for Assessing Student Learning Effectiveness by Wei Zhuang, Yunhong Zhang, Yuan Wang, Kaiyang He

“…This model cleverly integrates Bidirectional Convolutional Long Short-Term Memory (BCL) and dynamic attention mechanism, in order to efficiently capture emotional dynamic changes in time series with extremely low computational cost. 3D-BCLAM can achieve a comprehensive evaluation of students’ learning outcomes, covering not only the cognitive level but also delving into the emotional dimension for detailed analysis. …”
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Accuracy Optimization of Robotic Machining Using Grey-Box Modeling and Simulation Planning Assistance by Minh Trinh, Michael Königs, Lukas Gründel, Marcel Beier, Oliver Petrovic, Christian Brecher

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Hybrid Feed Forward Neural Networks and Particle Swarm Optimization for Intelligent Self-Organization in the Industrial Communication Networks by M. Maragatharajan, Aanjankumar Sureshkumar, Rajesh Kumar Dhanaraj, E. Nirmala, Md Shohel Sayeed, Mohammad Tabrez Quasim, Shakila Basheer

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A New Multi-granular 2-Tuple WASPAS-H Approach for Evaluating Water Resources for Olive Tree Irrigation under Group Decision-Making by Wiem Daoud-BenAmor, Hela Moalla Frikha

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Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations by Lorenzo Parigi, Gabriele Candiani, Ignazio Gallo, Piero Toscano, Mirco Boschetti

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Artificial intelligence aided microwave coagulation therapy: Analysis of heat transfer to tumor tissue via hybrid modeling by Zheng Yang, KeWei Dai, Wujun Zhang, Rui Zhou, QingBin Wu, Liang Liu, HuaiRong Qu

“…Machine learning models were trained in combination with computational heat transfer to obtain temperature distribution. …”
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Proximal near-infrared hyperspectral imaging dataset for identifying epicuticular wax loss in Masena blueberries to evaluate post-harvest qualityDataverse by Shah Faisal, Yaminn Thawdar, Melanie Po-Leen Ooi, Peter Reutemann, Dale Fletcher, Ye Chow Kuang, Sanush K. Abeysekera

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AI, big data, and quest for truth: the role of theoretical insight by Tuba Bircan

“…The discussion extends into computational social science, where elements from sociology, psychology, and economics converge. …”
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Quantifying Post-Purchase Service Satisfaction: A Topic–Emotion Fusion Approach with Smartphone Data by Peijun Guo, Huan Li, Xinyue Mo

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The EDI Multi-Modal Simultaneous Localization and Mapping Dataset (EDI-SLAM) by Peteris Racinskis, Gustavs Krasnikovs, Janis Arents, Modris Greitans

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The intersection of AI and learning analytics: Enhancing institutional performance by Thabisa Maqoqa

“…Within the framework of a positivist paradigm, it was found that the introduction of AI has fostered the development of robust evaluation and assessment techniques, leading to increased faculty engagement. …”
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Virtual Reality as an Innovative Tool for Numerosity Perception by Beatrice Aruanno, Giovanni Anobile, Armando Viviano Razionale, Monica Bordegoni, Guido Marco Cicchini

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Total shoulder arthroplasty in a patient with osteopetrosis: A case report by Ryan C. Rizk, MS, Elias Lugo-Fagundo, BS, Mohammad Yasrab, MD, Edmund M Weisberg, MS, MBE, Linda C. Chu, MD, John M. Gross, MD, Elliot K. Fishman, MD

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Image fusion methods in high-speed railway scenes: A survey by Yuqiao Zeng, Xu Wang, Hongwei Zhao, Yi Jin, George A. Giannopoulos, Yidong Li

“…In recent years, the growing data and computing resources have promoted the development of deep learning, and image fusion technology has continued to spawn new deep learning fusion methods based on traditional fusion methods. …”
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Vision techniques for anatomical structures in laparoscopic surgery: a comprehensive review by Ru Zhou, Dan Wang, Hanwei Zhang, Ying Zhu, Lijun Zhang, Tianxiang Chen, Wenqiang Liao, Zi Ye

“…Laparoscopic surgery is the method of choice for numerous surgical procedures, while it confronts a lot of challenges. Computer vision exerts a vital role in addressing these challenges and has become a research hotspot, especially in the classification, segmentation, and target detection of abdominal anatomical structures. …”
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