Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping by Erfan Zarenia, Amirhossein Akhlaghi Far, Khosro Rezaee

“…To improve tumor characterization, we applied data augmentation techniques to MR images and developed a hierarchical multiscale deformable attention module (MS-DAM). …”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…Recent studies have demonstrated that target-specific scoring functions developed using machine learning approaches can enhance the accuracy of virtual screening. …”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…This improvement is attributed to RFST's ability to effectively identify and utilize key textual features. In comparison, the baseline RFC and GRO-optimized Random Forest (RFGR) models achieve accuracies of 0.932 and 0.935, respectively, highlighting their limitations in capturing the intricate linguistic patterns associated with readability. …”
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Intelligent Diagnosis and Predictive Rehabilitation Assessment of Chronic Ankle Instability Using Shoe-Integrated Sensor System by Zhonghe Guo, Yanzhang Li, Yuchen Wang, Haoxuan Liu, Rui Guo, Jingzhong Ma, Xiaoming Wu, Dong Jiang, Tianling Ren

“…However, challenges are presented in accurately identifying CAI-related abnormal gait patterns and assessing rehabilitation effects. Traditional plantar pressure systems lack portability and can only be used in limited specific actions, while a few early proposed portable systems have demonstrated insufficient accuracy. …”
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Prediction of metastatic risk of renal clear cell carcinoma based on CT radiomics analysis by Xueyi Wang, Youchang Yang, Jiaojiao Wu, Xiaoqiang Tang, Yao Wang

“…Three monophasic radiomics models were developed following dimensionality reduction, with feature contributions quantified via Shapley Additive exPlanations (SHAP) framework to enhance interpretability. …”
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Bioinformatics‑Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis by Yang M, Zhang X, Zhou C, Du Y, Zhou M, Zhang W

“…Least Absolute Shrinkage and Selection Operator (LASSO) regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were used to screen hub genes. …”
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Individualized lesion-symptom mapping using explainable artificial intelligence for the cognitive impact of white matter hyperintensities by Ryanne Offenberg, Alberto De Luca, Geert Jan Biessels, Frederik Barkhof, Wiesje M. van der Flier, Argonde C. van Harten, Ewoud van der Lelij, Josien Pluim, Hugo Kuijf

“…The FNN performed worse on real data (R2 = 0.020).To conclude, results show that CNNs combined with XAI can perform lesion-symptom mapping and generate individual attribution maps, which could be a valuable feature with further method development.…”
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Expression and functional analyses of the mitogen-activated protein kinase (MPK) cascade genes in response to phytohormones in wheat (Triticum aestivum L.) by Su-fei YAO, Yan-xia WANG, Tong-ren YANG, Lin HAO, Wen-jing LU, Kai XIAO

“…Mitogen-activated protein kinase (MPK) cascades consist of a set of kinase types (MPKKKs, MPKKs, MPKs) to establish conserved signal-transducing modules mediating plant growth, development as well as responses to internal and external cues. …”
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Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

“…The architecture of CANet allows for effective processing of extended ECG patterns and detailed feature extraction without a substantial increase in model size.ResultsEmpirical results indicate that CANet outperformed traditional models in terms of predictive performance and stability, as confirmed by comprehensive cross-validation. …”
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Analisis Sentimen Aplikasi Playstore Sirekap 2024 Pasca Pilpres Dengan Perbandingan Metode Support Vector Machine (SVM), Naïve Bayes Classifier Dan Random Forest. by Dede Ardian TARIGAN

“…The technical stages used in this research include data scraping, data pre-processing, pattern labeling, feature extraction/weighting, data splitting, and the sentiment analysis classification process. …”
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Experimental study on seepage characteristics model of tunnel lining based on infrared imaging by Zhijian Wu, Hua Wu, Yichen Peng, Renjie Song, Yimin Wu, Haiping Wu, Guangzheng Zhuang

“…Most previous studies have focused primarily on the geometric characteristics of seepage areas, while the relationships between these geometric features and other influencing factors, as well as the development of quantitative indicators within infrared signatures for rapid crack pattern identification, have not been systematically explored. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
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Alluvial Fan Fringe Reservoir Architecture Anatomy—A Case Study of the X4-X5 Section of the Xihepu Formation in the Kekeya Oilfield by Baiyi Zhang, Lixin Wang, Yanshu Yin

“…The findings directly inform reservoir development in analogous arid-climate systems. This research not only provides a scientific basis for the exploration and development of the Kekeya oilfield but also serves as an important reference for reservoir architecture studies in similar geological contexts.…”
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Identifying Key Idiolect Markers in Sociolinguistic Profiling: A Scoping Review and Analytical Framework for Real-world Applications by Vitalii Shymko

“…Sociolinguistic profiling has emerged as a powerful tool for understanding individual language patterns and their applications in diverse contexts, including digital communication, forensic linguistics, and psychological analysis. …”
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The Kalhora Dynasty: A Period of Islamic Architecture, From the Early Throne to the Present. by Rabia Khaskheli, Mazhar Hussain Abbasi

“…Along with the history of the Kalhora rule, the various stages of development of mosques and tomb architecture are also discussed, along with the new architectural features added by the Kalhoras and other patterns much admired in Indian architecture. …”
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Regulation of ubiquitination in sepsis: from PAMP versus DAMP to peripheral inflammation and cell death by Yueying Li, Jiongyan Yu, Zhiwen Zeng, Weixiong Lin

“…Pathogen-associated molecular patterns (PAMP) and damage-associated molecular patterns (DAMP) induce strong immune responses and exacerbate inflammation by activating pattern recognition receptors (PRRs) in the host. …”
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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…This study aims to develop an interpretable machine learning model that uses speech recordings and acoustic features to predict PD.MethodsA dataset of speech recordings from individuals with and without PD was analyzed. …”
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Antibiotic stories: a mixed-methods, multi-country analysis of household antibiotic use in Malawi, Uganda and Zimbabwe by Justin Dixon, Shunmay Yeung, John Bradley, Laurie Denyer Willis, Susan Nayiga, Clare I R Chandler, Rashida Abbas Ferrand, Sham Lal, Miriam Kayendeke, Christine Nabirye, Sarah G Staedke, Eleanor Elizabeth MacPherson, Edward Green, Salome Manyau, Esnart Sanudi, Alex Nkaombe, Portia Mareke, Kenny Sitole, Coll de Lima Hutchison, Chrissy Roberts

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Application of Image Processing Technology in the Diagnosis of Football Injury by Liyun Xu, Zhubo Xu

“…Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis. …”
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Epidemiological assessment of risk factors of infectious complications at wounded and victims with severe injuries by A. A. Kuzin, S. A. Svistunov, P. I. Ogarkov, D. A. Zharkov

“…In this regard it is important to reveal epidemiological features and patterns of manifestations of the infections connected with delivery of health care to define tendencies of epidemic process, and also to predict influence of risk factors on development of infectious complications in the victims who are on treatment in specialized surgical hospital.…”
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