A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…Automated models can rapidly and accurately process large datasets, revolutionizing tumor detection and classification. However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. …”
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Can Saccade and Vergence Properties Discriminate Stroke Survivors from Individuals with Other Pathologies? A Machine Learning Approach by Alae Eddine El Hmimdi, Zoï Kapoula

“…This analysis resulted in even higher F1 scores across all three ML models, as the comparison group predominantly included healthy individuals, including some with presbycusis. …”
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Partial discharge defect recognition method of switchgear based on cloud-edge collaborative deep learning by Zhijie Jia, Songhai Fan, Zhichuan Wang, Shuai Shao, Dameng He

“…Abstract To address the limitations of traditional partial discharge (PD) detection methods for switchgear, which fail to meet the requirements for real-time monitoring, rapid assessment, sample fusion, and joint analysis in practical applications, a joint PD recognition method of switchgear based on edge computing and deep learning is proposed. …”
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Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosis. by Tomer Fekete, Neta Zach, Lilianne R Mujica-Parodi, Martin R Turner

“…Intra- as well as inter-motor functional networks in the 0.03-0.06 Hz frequency band were derived from 40 patients and 30 healthy controls of similar age, and used as features for pattern detection, employing multiple kernel learning. …”
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Assessment of feasibility of actigraphy as a measure of clinical change in response to an experimental interventional treatment in adolescents and adults with autism spectrum disor... by Matthew Boice, Svetlana Bryant, Matthew Klein, Martine Meyer, Abi Bangerter, Srinivasan Vairavan, Gahan Pandina

“…Expert review was used to confirm validity of automated sleep/wake period detection. Feature differences were then assessed using t tests/ANCOVA. …”
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Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine by Zelong Chi, Hong Chen, Sheng Chang, Zhao-Liang Li, Lingling Ma, Tongle Hu, Kaipeng Xu, Zhenjie Zhao

“…The feature importance analysis highlights key features for disease identification: the NIR band (B8) for Sentinel-2, DVI, SAVI, and the VH band for Sentinel-1. …”
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Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women by Yi-Xin Li, Yu Lu, Zhe-Ming Song, Yu-Ting Shen, Wen Lu, Min Ren

“…Conclusions This study demonstrates the feasibility and clinical value of AI-enhanced ultrasound analysis for EC detection. By integrating radiomics and deep learning features with SR-based image preprocessing, our model improves diagnostic specificity, reduces false positives, and mitigates operator-dependent variability. …”
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ADAPTATION OF “DRIED BLOOD DROP” METHOD FOR THERAPEUTIC DRUG MONITORING by V. I. Petrov, I. S. Anikeev, T. E. Zayachnikova, A. V. Strygin, A. M. Dotsenko

“…The features of the collection, storage and analysis of the “dried blood spot” samples have been revealed. …”
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Surveillance and characteristics of vancomycin-resistant Enterococcus isolates in a Chinese tertiary hospital in Shenzhen, 2018 to 2024 by Hongwei Shen, Qiaomin Zhang, Shaobo Li, Tingting Huang, Wen Ma, Daming Wang, Peng Li

“…The clinical characteristics, antimicrobial susceptibility profiles and molecular features were subjected to analysis. Results: A total of 34 non-duplicate VRE isolates were identified, comprising 32 vancomycin-resistant Enterococcus faecium (VREfm) and 2 vancomycin-resistant Enterococcus faecalis (VREfa) strains. …”
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Molecular and genetic characteristics of Epstein-Barr virus isolates in adult patients with HIV infection in Nizhny Novgorod region by Mariia I. Popkova, E. N. Filatova, S. V. Minaeva, N. A. Sakharnov, O. V. Utkin

“…In the typical structure of Nizhny Novgorod region EBV isolates in the adults HIV(–) group, only EBV-1 was detected. In the HIV(+) group detection rate of EBV-1 was 88.2±3.4%, EBV-2 — 5.4±2.3%, EBV-1+EBV-2 — 6.4±2.6% cases. …”
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Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals by Illia Pidvalnyi, Anna Kostenko, Oleksandr Sudakov, Dmytro Isaev, Oleksandr Maximyuk, Oleg Krishtal, Olena Iegorova, Ievgen Kabin, Zoya Dyka, Steffen Ortmann, Peter Langendorfer

“…A principal component analysis was applied for feature selection before using a support vector machine for the detection of seizures. …”
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RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review by Md Nasim Reza, Kyu-Ho Lee, Eliezel Habineza, Samsuzzaman, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…Among these, RGB imaging and machine vision technology may offer a promising solution for early disease detection and proactive disease management in advanced pig husbandry practices. …”
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Deep Learning-Based Rapid Flow Field Reconstruction Model with Limited Monitoring Point Information by Ping Wang, Guangzhong Hu, Wenli Hu, Xiangdong Xue, Jing Tao, Huabin Wen

“…The rapid reconstruction of the internal flow field within pressure vessel equipment based on features from limited detection points was of significant value for online monitoring and the construction of a digital twin. …”
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Gendered Discourses and Actor Representation in Eoin Colfer’s Artemis Fowl Series: A Corpus-Based Study by Dalia Mohammed Hamed

“…The study is original in incorporating corpus linguistic toolkits, discursive psychology and discourse analysis to child Irish fantasy literature to expose the gendered-identities negotiated and the features representing social actors.…”
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Supervision and Control as Special Forms of Protecting Labor Rights of Employees who Work for Employers Being Individuals by I. V. Vasylko

“…It has been argued that the implementation of control and supervisory activities in the studied area relies on various public authorities, where their main functions should include the detection of violations of labor rights of employees by employers, development of propositions to prevent violations of labor laws, monitoring the compliance with regulations issued in regard to employer in the result of inspections by the competent authorities, development and approval of the annual plan for scheduled inspections; drawing up minutes on administrative offenses against employers who have violated labor legislation; organization and monitoring of the compliance with labor legislation, including the collection, processing and analysis of information, operation of an automated information system for control and supervision.…”
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A stereodynamic probe of Pt(II) molecular hinge for chiroptical sensing of cryptochiral compounds by Yeye Ai, Yinghao Zhang, Ying Jiang, Guilin Zhuang, Yongguang Li

“…With its dual CD and phosphorescence capabilities, this probe shows great potential for high-throughput screening analysis.…”
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A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States. by John M Drake, Andreas Handel, Éric Marty, Eamon B O'Dea, Tierney O'Sullivan, Giovanni Righi, Andrew T Tredennick

“…To support decision-making and policy for managing epidemics of emerging pathogens, we present a model for inference and scenario analysis of SARS-CoV-2 transmission in the USA. The stochastic SEIR-type model includes compartments for latent, asymptomatic, detected and undetected symptomatic individuals, and hospitalized cases, and features realistic interval distributions for presymptomatic and symptomatic periods, time varying rates of case detection, diagnosis, and mortality. …”
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Proteomic insights into early pancreatic ductal adenocarcinoma biology and screening by Yue Huang, Chengzhi Sun, Xiangyuan Gao, Siqi Zhai, Guosheng Wang, Fan Zhang

“…In response to this need, we conducted a paired design study employing differential protein analysis, Mendelian randomization (MR), and single-cell analysis to identify distinctive features associated with early-stage PDAC (E-PDAC). …”
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A multimodal Neuroimaging-Based risk score for mild cognitive impairment by Elaheh Zendehrouh, Mohammad S.E. Sendi, Anees Abrol, Ishaan Batta, Reihaneh Hassanzadeh, Vince D. Calhoun

“…Structural MRI (sMRI) data provided gray matter (GM) segmentation maps, while resting-state functional MRI (fMRI) data yielded functional network connectivity (FNC) matrices via spatially constrained independent component analysis. Similar imaging features were computed from the UK Biobank (N = 37,780). …”
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Nijmegen breakage syndrome in pediatric practice (literature review and personal observation) by A.D. Hubanov, V.S. Konoplitskyi, V.V. Pohorilyi, O.V. Tykholaz, A.I. Sasiuk, Ye.Ye. Loiko, T.I. Mykhalchuk, Yu.A. Dymchyna, Yu.Ye. Korobko, O.V. Pasichnyk

“…Materials and methods. An analysis and generalization of the results of scientific research for 1985–2025, selected on the basis of an information search in the scientometric databases Scopus, Web of Science, PubMed, MEDLINE, Google Scholar using the keywords «Nijmegen breakage syndrome», «immunodeficiency», «clinical features», «laboratory features», «genotype», «phenotype», was carried out. …”
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