A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by Omar AlShorman, Muhammad Irfan, Nordin Saad, D. Zhen, Noman Haider, Adam Glowacz, Ahmad AlShorman

“…This study highlights the advantages and performance limitations of each method. Finally, challenges and future trends are also highlighted.…”
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Prediction of BlastInduced Ground Vibration (BIGV) of Metro Construction Using Difference Evolution AlgorithmOptimized Gaussian Process (DE-GP) by Tengfei Jiang, Annan Jiang, Shuai Zheng, Mengfei Xu

“…The proposed model is compared with the empirical formulas, least square support vector machine (LSSVM), artificial neural network (ANN), and GP model, and its prediction performance is evaluated by statistical indicators such as root mean square error (RMSE). Finally, the cosine amplitude method (CAM) is used to analyze the sensitivity of blasting parameters. …”
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A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model by Zhanshuo Yang, Yaxian Li, Qiyu Han, Haoming Wang, Chunjiang Li, Zhandong Wu

“…Additionally, the BiFPN (Bidirectional Feature Pyramid Network) module is introduced to replace the traditional PANet connection, which achieves efficient feature fusion across different scales of tomato skin color, size, and surrounding environment and optimizes the expression ability of the feature map. Finally, an Inner-FocalerIoU loss function is designed and integrated to address the difficulty of ripeness classification caused by class imbalance in the samples. …”
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Freezing Temperature Field of FSPR under Different Pipe Configurations: A Case Study in Gongbei Tunnel, China by Yin Duan, Chuanxin Rong, Hua Cheng, Haibing Cai, Wei Long

“…The research results show that the improved design with double circular freezing tubes exhibited a lower temperature and a higher cooling rate during the test, and the time required to meet the freezing design requirements was significantly shortened. Finally, a composite structure of “pipe roof and frozen soil curtain” with a better carrying capacity and water sealing performance was formed. …”
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Identification of Potential Abnormal Methylation-Modified Genes in Coronary Artery Ectasia by Xiuchun Yang, Yijun Zong, Zhentian Zhang, Yan Zhao, Xueying Gao, Jie Zhang, Qian Hou, Renyi Li, Bing Xiao

“…Then, the DNA methylation profile of CAE was downloaded from GSE87016 (HumanMethylation450 BeadChip data, involving 11 cases and 12 normal controls) to identify differentially methylated genes (DMGs). Finally, after taking interaction genes between DEGs and DMGs, abnormal methylation-modified genes were identified, followed by protein–protein interaction analysis and expression validation using reverse transcriptase polymerase chain reaction. …”
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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…To further address the issue of redundant information in existing RGB-T object detection models, a redundant information suppression module is introduced, minimizing cross-modal redundant information based on mutual information and contrastive loss. Finally, a kernel similarity-aware illumination module (KSIM) is introduced to dynamically adjust the weighting of RGB and thermal features by incorporating both illumination intensity and the similarity between modalities. …”
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Predefined-Time <italic>H</italic> _&#x221E; Cooperative Control for Multi-Robot Systems Based on Adjustable Prescribed Performance Control and Adaptive Command Filter by Haitao Liu, Weichen Li, Xin Huang, Xuehong Tian, Qingqun Mai

“…Fourth, the predefined-time <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> coordinated formation controller for multi-robot systems (MRSs) is designed to achieve strong robustness to various disturbances. Finally, all the signals in the control system are bounded and converge within the predefined time, and the results of the virtual simulation experiments verify the validity and performance of the MRSs.…”
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A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks by Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati

“…Consequently, the process condition was identified as the most significant group compared to others. Finally, the desulfurization process optimization indicated the maximum DBT adsorption of 161.6 mg/g for Zr-based MOF could be achieved when the features including BET, TPV, pore size, oil/adsorbent ration, and temperature were tuned around 756 m2/g, 0.955 cm3/g, 5.96 nm, 449.85 g/g, 20.1 °C, respectively.…”
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Prioritization of the effective factors in reducing energy consumption in a residential building using computer simulation by N. Amani, F. Tirgar Fakheri, K. Safarzadeh

“…The obtained results were compared with each other with the help of optimization strategies for energy consumption using the Design Builder software. Finally, a set of effective factors were determined to be involved in decreasing the energy consumption. …”
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Preoperative risk assessment and optimization integrating surgical and anesthetic principles and practices: a national survey for internists by Marc-Antoine Lepage, Annie Lecavalier, Gabriele Baldini, Ning-Zi Sun, Amal Bessissow

“…It also assessed pre- and post-survey self-reported confidence levels in one’s knowledge of these characteristics. Finally, we investigated how internists optimize some of the preoperative risks. …”
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AirStrum: A virtual guitar using real-time hand gesture recognition and strumming technique by Beulah ARUL, Shashank PANDA, Tushar NAIR

“…Additionally, this model incorporates a velocity detection function for the strumming hand. Finally, the proposed system can play different sounds by inferring both the played chord and the strumming velocity from human actions. …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Combining the data from two cohorts post binarization (of gene expression) or batch normalization (of radiomic features) in each cohort proved to be a better approach as compared to training the model on one cohort and validating on the other. …”
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Hydrothermal performance of microchannel heat sink integrating pin fins based on triply periodic minimal surfaces by Ahmed Raafat, Moza Alteneiji, Mohamed Kamra, Saeed Al Nuaimi

“…This comprehensive study demonstrates the influence of triply periodic minimal surface structures on generating secondary cooling flows and disrupting thermal boundary layers. Finally, the findings encourage further exploration of other lattices, such as Gyroid and Diamond structures, which are expected to exhibit similar trends.…”
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The Prognostic Model Established by the Differential Expression Genes Based on CD8+ T Cells to Evaluate the Prognosis and the Response to Immunotherapy in Osteosarcoma by Yu Chen, Wei Yan, Hongqing Wang, Zhiliang Ou, Huihong Chen, Zhenhua Huang, Jinlian Yang, Biqiong Liu, Fanjie Ou, Huang Zhang

“…The results indicated that the risk score of the CD8-DEG model was an independent risk factor for OS patients. Finally, we revealed that the risk score of the CD8-DEG model correlates with the immune profile of OS and can be used to evaluate the response of OS to immunotherapy. …”
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Cognition Deficits in Parkinson’s Disease: Mechanisms and Treatment by Congcong Fang, Longqin Lv, Shanping Mao, Huimin Dong, Baohui Liu

“…In our review, we focus on a description of cognitive decline in PD, expound emphatically the pathological mechanisms underlying cognition deficits in PD, then give a comprehensive overview of specific therapeutic strategies, and finally dissect what fresh insights may bring new exciting prospect for the subfield.…”
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Synergistic Enhancement of Carbon Sinks and Connectivity: Restoration and Renewal of Ecological Networks in Nanjing, China by Renfei Zhang, Hongye Li, Zhicheng Liu

“…On this basis, by coupling dPC and CSI indices to classify ecological network nodes, we proposed four strategies for optimization: ecological conservation, structural connectivity, carbon sink improvement, and synergistic enhancement. Finally, by adding 26 ecological stepping stones, 32 ecological corridors, and optimizing landscape components, we achieved dual improvements in both the structural and functional aspects of the ecological network. …”
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Identifying and Ranking Technological Capabilities to Enhance Resilience of the Supply Chain by Seyyed Jalaladdin Hosseini Dehshiri, Mojtaba Aghaei

“…Then, these criteria, after being examined in the case study and according to the experts using the Fuzzy Delphi method, were modified and finalized—the next step weighted relevant indicators based on the SWARA method.Findings: Criteria of technological collaboration, supply chain agility, and flexibility of supply, respectively, were recognized as the most critical indicators.Originality/Value: With the development of information technology and the need for supply chain resilience, identifying technological capabilities and their impact on resilience is essential to reduce supply chain risk. …”
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Evaluating Producer Welfare Benefits of Whole-Farm Revenue Insurance by Moharram Ainollahi Ahmadabadi, Mohammad Ghahremanzadeh, Ghader Dashti, Seyed-Ali Hosseini-Yekani

“…The premium rates were then calculated using the PQH simulation and Cholesky decomposition and compared under three scenarios: the single-crop, double-crop, and triple-crop options. Finally, farmers’ welfare benefits were compared under the three scenarios with the no-insurance case. …”
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Study on the Parameter Optimization and Strength Mechanism of Coal Gangue Emulsified Asphalt Mixture by ZhanLiang Liu, Chen Zhang, Xin Qu

“…The water stability of coal gangue emulsified asphalt mixture is evaluated by the immersion Marshall test. Finally, the strength formation mechanism of coal gangue emulsified asphalt mixture is analyzed from the microscopic point of view. …”
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High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare by Maelenn Corfmat, Joé T. Martineau, Catherine Régis

“…We then proposed a breakdown within such categories that emphasizes the different - yet often interconnecting - ways in which ethics and law are approached for each category of issues. Finally, we identified several key ideas for healthcare professionals and organizations to better integrate ethics and law into their practices. …”
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