Smart Watch Sensors for Tremor Assessment in Parkinson’s Disease—Algorithm Development and Measurement Properties Analysis by Giulia Palermo Schifino, Maira Jaqueline da Cunha, Ritchele Redivo Marchese, Vinicius Mabília, Luis Henrique Amoedo Vian, Francisca dos Santos Pereira, Veronica Cimolin, Aline Souza Pagnussat

“…Power spectral density (PSD) analysis of accelerometer and gyroscope data along the <i>x</i>-axis successfully detected the presence of tremors. …”
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Diagnosis of Bearing Defects based on the Analysis of Vibration Images Using the RKEM SIFT Descriptor Method by Zohreh Hashempour, Hamed Agahi, Azar Mahmoodzadeh

“…This paper proposes a new method for detecting defects in bearings based on a combination of feature extraction algorithms in which a two-dimensional signal is used. …”
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Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout by Xinhui Liang, Yue Yin, Lating Zhang, Fang Liu, Yao Jia, Xiaoxia Liu, Mengyi Hu, Lijuan Gao, Xue Jiang

“…Methods A cross-sectional study was conducted in nurses in Northwest China using convenience sampling from January to March 2024.The clinical nurse completed the online completion of the General Information Questionnaire, the Work Addiction Scale, and the Burnout Scale.Latent profile analysis, analysis of variance, chi-square test, binary logistic regression and multiple regression analysis were used to analyze the data. …”
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Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning by Francis Loignon-Houle, Nicolaus Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño-Estrada, Antonio J. Gonzalez, Etiennette Auffray, Roger Lecomte

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Research on Data-Driven Performance Assessment and Fault Early Warning of Marine Diesel Engine by Haiyan Wang, Zihan Wang, Biao Shi

“…Finally, the cumulative anomaly method combined with the Yamamoto test was employed for anomaly detection analysis, enabling precise identification of fault occurrence time and establishing an effective early-warning mechanism. …”
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An Advanced Recomposition-Based Displaying Technique: Maximizing Image Reconstruction for Virtual Museum Applications by Jingjie Zhao, Xin Shi, Olga Yezhova, Qinchuan Zhan, Xijing Zhang

“…We present an advanced recomposition-based displaying technique designed to optimize intelligent scene retargeting in hybrid-reality environments, with two key contributions: Geometry-preserving and Human-inspired Active Detection (GHAD) and time-sensitive feature selection. …”
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Non-unit protection scheme for flexible DC transmission lines based on fitting the rate of change of line-mode voltage reverse traveling waves by Qixuan Zhang, Haifeng Li, Hainan Liu, Zhijie Wang

“…The existing non-unit traveling wave (TW) protection schemes of flexible direct current (DC) transmission lines based on time domain analysis cannot withstand high transition resistance. …”
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Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer by N. A. Obukhova, A. A. Motyko

“…Automated method of fluorescence images analysis obtained by excitation radiation with a wavelength of 360 and 390 nm is proposed. …”
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Adaptive zero velocity correction method for fiber optic inertial navigation system in coal mining roadheader by Qinghua MAO, Qing ZHOU, Jianquan CHAI, Yanzhang CHEN, Wenjuan YANG, Xusheng XUE

“…Secondly, the time-frequency domain features of IMF components are extracted, and the principal component analysis method is used to reduce the dimension to reduce the complexity of the diagnostic model and the difficulty of data analysis. …”
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Strain-level genomic analysis of serotype, genotype and virulence gene composition of group B streptococcus by Zhen Zeng, Meng Li, Simin Zhu, Ke Zhang, Yifan Wu, Minzi Zheng, Yang Cao, Zhenyu Huang, Qinping Liao, Lei Zhang, Lei Zhang

“…To develop specific and personalized preventative strategies, a better understanding of the epidemiological characteristics and pathogenic features of GBS is essential.MethodsWe conducted a comprehensive strain-level genomic analysis of GBS, examining serotype and genotype distributions, as well as the composition and correlations of virulence genes using the blastn-short mode of the BLAST program(v2.10.0+), mlstsoftware (https://github.com/tseemann/mlst), Snippy (v4.6.0), FastTree (v2.1.11) and iTOL. …”
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Early prediction of bone destruction in rheumatoid arthritis through machine learning analysis of plasma metabolites by Zihan Wang, Tianyi Lan, Yi Jiao, Xing Wang, Hongwei Yu, Qishun Geng, Jiahe Xu, Cheng Xiao, Qingwen Tao, Yuan Xu

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Computer vision-based road lane glass beads quality analysis system using ANN by Gi-sang Kang, Jong-Jae Lee, Jong Woo Kim, Seung Wan Seo, Hoki Ban

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Analysis of the Possibility of Using Selected Artificial Intelligence Algorithms for the Assessment of the Microstructure of Vermicular Cast Iron by U. Janiszewska, Ł. Marcjan, S. Gajoch, K. Jaśkowiec, A. Bitka, M. Małysza, D. Wilk-Kołodziejczyk

“…Distinctive image features need to be distinguished in order to detect these places of interest. …”
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New insights into markers for distinguishing neuroendocrine prostate cancer: evidence from single-cell analysis by Hailang Luo, Hailang Luo, Hailang Luo, Boyang Li, Boyang Li, Boyang Li, Meng Zhang, Meng Zhang, Meng Zhang, Hongqun Wang, Zongyao Hao, Zongyao Hao, Zongyao Hao, Qintao Ge, Qintao Ge, Chaozhao Liang, Chaozhao Liang, Chaozhao Liang

“…The identification of reliable biomarkers for NEPC is essential for early detection and intervention.MethodsWe combined single-cell and bulk transcriptome analysis to identify novel markers of NEPC. …”
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Metabolomics Biomarker Discovery to Optimize Hepatocellular Carcinoma Diagnosis: Methodology Integrating AutoML and Explainable Artificial Intelligence by Fatma Hilal Yagin, Radwa El Shawi, Abdulmohsen Algarni, Cemil Colak, Fahaid Al-Hashem, Luca Paolo Ardigò

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BroilerTrack: Automatic multi-camera multi-broiler tracking by Thinh Phan, Hoang Kim Tran, Andrew Lockett, Isaac Phillips, Hao Vo, Duy Le, Michael T. Kidd, James Mason, Santiago Avendano, Ngan Le

“…Notably, our method requires no unified-plane annotations during training and achieves superior performance over state-of-the-art Multi-camera MOT methods on both detection and association metrics. This work provides a scalable, non-intrusive solution for real-time poultry monitoring, with strong potential for applications in behavior analysis, welfare optimization, and automated breeding selection.…”
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GBsim: A Robust GCN-BERT Approach for Cross-Architecture Binary Code Similarity Analysis by Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai

“…Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. Nevertheless, practical deployments in mission-critical scenarios such as binary code similarity detection face two fundamental obstacles: first, the inherent noise in graph construction processes exemplified by incomplete control flow edges during binary function recovery; second, the substantial distribution discrepancies caused by cross-architecture instruction set variations. …”
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Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study by Shuwei Xue, Jana Lüdtke, Teresa Sylvester, Arthur M. Jacobs

“…., 2017), the present study analyzed the eye movement behavior of participants reading three of the 154 sonnets as a function of seven lexical features extracted via Quantitative Narrative Analysis (QNA). …”
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Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population by Rooge Suvanasuthi, Suwanit Therasakvichya, Potjanee Kanchanapiboon, Chamras Promptmas, Sarin Chimnaronk

“…Machine learning was used for handling imbalanced data and feature selection before differential expression analysis to identify significantly dysregulated miRNA panels. …”
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Quantitative N-glycoproteomic analysis reveals glycosylation signatures of plasma immunoglobulin G in systemic sclerosis by Lu Cheng, Lu Cheng, Yanhong Li, Yu Zhou, Yingying Ling, Tong Wu, Zongan Liang, Yinlan Wu, Chunyu Tan, Yi Liu, Yong Zhang

“…Nonetheless, the intricate details of intact glycopeptides in SSc remain elusive owing to challenges in their detection. In this study, we characterized plasma immunoglobulin G (IgG) intact N-glycopeptides from 30 SSc patients and 30 healthy controls (HCs) via our recently developed intact glycopeptide analysis method GlycoQuant. …”
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