Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Its integration into neurosurgical education, given the field’s complexity and precision demands, warrants comprehensive exploration. To systematically evaluate AI applications in neurosurgical education, we conducted a scoping review adhering to PRISMA-ScR guidelines. …”
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Cooling Load Forecasting Method for Central Air Conditioning Systems in Manufacturing Plants Based on iTransformer-BiLSTM by Xiaofeng Huang, Xuan Zhou, Junwei Yan, Xiaofei Huang

“…Meanwhile, by integrating the SHAP sensitivity analysis method, the contributions of input variables to the cooling load prediction results are systematically evaluated, thereby enhancing the interpretability of the model. …”
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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

“…Our analysis reveals that while detection algorithms for ramp events have matured and the overall predictive performance of power forecasting models has improved, existing approaches often struggle to capture localized ramp phenomena, resulting in persistent deviations. …”
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Automatic PID Control Strategy via Energy Dissipation for Tapping Mode Atomic Force Microscopy by Yuan Zhao, Sha-Sha Xiao, Ji-Rui Liu, Sen Wu

“…Our methodology integrates energy analysis to quantify the critical relationship between energy loss and phase lag dynamics in tapping mode. Additionally, systematic decomposition of interaction force is performed to enable the reconstruction of system transfer functions. …”
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Fire weather indices tailored to regional patterns outperform global models by Assaf Shmuel, Teddy Lazebnik, Eyal Heifetz, Oren Glickman, Colin Price

“…Here, we present a systematic effort to generate country-specific FWIs that capture regional fire-weather patterns. …”
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A fact-checking tool based on Artificial Intelligence to fight disinformation on Telegram by Francisco-Javier Cantón-Correa, Lucia Ballesteros-Aguayo, Andrés Montoro-Montarroso

“…The methodology used applies a systematic and structured approach that allows the design and development of the tool, as well as its subsequent evaluation and optimisation. …”
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Tracking and Disturbance Suppression of the Radio Telescope Servo System Based on the Equivalent-Input-Disturbance Approach by Lei Yang, Na Wang, Zhiyong Liu, Ning Li

“…The algorithm consists of the equivalent-input-disturbance (EID) approach and the optimal control method. …”
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Termite Detection Techniques in Embankment Maintenance: Methods and Trends by Xiaoke Li, Xiaofei Zhang, Shengwen Dong, Ansheng Li, Liqing Wang, Wuyi Ming

“…It also highlights integrated multi-sensor frameworks and artificial intelligence algorithms as emerging solutions to enhance detection accuracy, adaptability, and automation. …”
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Problematic Aspects of the Evaluation of the Epidemiological Effectiveness of Vaccination against Tick-BORNE Encephalitis by N. A. Penyevskaya, N. V. Rudakov, S. A. Rudakova

“…It is shown that the calculation of COEF and IEF according to official statistical reporting is illegal in connection with the emergence of systematic errors of selection due to the impossibility of retrospective formation of compared groups of vaccinated and unvaccinated, comparable in risk of infection and disease. …”
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Individual Travel Knowledge Graph-Based Public Transport Commuter Identification: A Mixed Data Learning Approach by Song Hu, Jiancheng Weng, Quan Liang, Wei Zhou, Peizhao Wang

“…This paper extracts individual PT travel chain information and constructs individual travel knowledge graphs of PT passengers based on the association matching algorithm and the theory of multilayer planning. A mixed dataset is formed by associating individual travel chains with travel survey data. …”
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The role of neurovisualization in monitoring stroke risk among athletes: a review by Bauyrzhan Omarov, Akbayan Aliyeva

“…Discussion: the findings were consistent with previous studies that supported the use of multimodal imaging and computational tools in stroke risk evaluation. however, data heterogeneity and algorithmic transparency were identified as persistent challenges across the reviewed literature. …”
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Complex Neutrosophic Approach for Uncertainty Management in Employment Competence for Higher Vocational College Students by Shuo Du, Lijuan Zhao

“…It also presents a novel ICNS de-neutrosophication method to provide representative and expressive scoring of ICNS decisions. Then, algorithmic analytical weighting is applied to infer the significance of ICNS-valued criteria. …”
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Reallocating diabetes-related garbage codes to improve mortality estimates: a case study in Weifang, China by Xiao Zhang, Wenyi Yang, Jingxin Wang, Limei Ai, Min Chen, Chunping Wang, Xia Wan

“…Based on the reallocated data, crude DM mortality rates rose from 7.64 to 17.75 per 100,000 between 2010 and 2022, with males experiencing a greater overall increase than females. While no new algorithms were developed, this study demonstrates how internationally recommended coding standards—often neglected in routine subnational settings—can be systematically and rigorously applied to improve DM mortality surveillance. …”
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LAF: Enhancing person re-identification via Latent-Assisted Feature Fusion by Minglang Li, Zhiyong Tao, Sen Lin, Kaihao Feng

“…To address this limitation, we propose a novel Latent-Assisted Fusion (LAF) framework that systematically mines discriminative cues from non-salient areas, which are critical for distinguishing challenging samples. …”
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A Review of Quantitative Characterization of Phase Interface Dynamics and Optimization of Heat Transfer Modeling in Direct Contact Heat Transfer by Mingjian Wang, Jianxin Xu, Shibo Wang, Hua Wang

“…Based on the findings above, three key directions are proposed to guide future research to inform the exploration of direct contact heat transfer mechanisms in future work: 1 dynamic analysis of multi-scale spatio-temporal coupling mechanisms, 2 accurate quantification of unsteady interfacial heat transfer processes, and 3 synergistic integration of intelligent optimization algorithms with experimental datasets.…”
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Rationale for the Choice of a Positioning System for Mobile Agricultural Robot Movement Controlling by A. V. Teterev

“…A correctly selected positioning system for controlling the mobile robotic means movement ensures high positioning accuracy of the robotic platform in the garden, allows to automate precise operations in the garden and systematize route planning algorithms.(Research purpose) To substantiate the rational choice of a positioning system for controlling the mobile robotic device movement.…”
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A Comprehensive Survey of Super-Resolution Remote Sensing Image Datasets: Evolution, Challenges, and Future Directions by Anh Vu-Duc, Khang Nguyen-Vi, Bao Bui-Quoc, Nidal Kamel

“…Despite significant progress in SR algorithms—particularly those driven by deep learning—the supporting datasets have received comparatively little attention. …”
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Unraveling consistently altered brain activations of language deficits in schizophrenia: evidence from ALE meta-analysis by Yuwen He, Ya Hou, Yuan Zhou, Ruolei Gu, Fei Gao, Zhen Yuan

“…Therefore, it is crucial to investigate the underlying pathology of these deficits and unravel the potential intervention targets. Methods We systematically reviewed fMRI publications on language processing in schizophrenia and summarized the evidence quantitatively with activation likelihood estimation algorithms following PRISMA guidelines. …”
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The role of mitochondria-related genes in hepatocellular carcinoma prognosis: construction of prognostic models based on machine learning by Fei Gao, Fei Teng, Yuxiang Wan, Qiaoli Zhang, Jinchang Huang

“…We evaluated 113 machine learning algorithms to develop mitochondrial gene-based prognostic models. …”
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Comprehensive Performance Comparison of Signal Processing Features in Machine Learning Classification of Alcohol Intoxication on Small Gait Datasets by Muxi Qi, Samuel Chibuoyim Uche, Emmanuel Agu

“…However, until now, no work has systematically evaluated the performance of various categories of gait features for alcohol intoxication detection task using traditional machine learning algorithms. …”
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