Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms by Xin Liu, Xingming Shu, Yejiang Zhou, Yifan Jiang

“…The XGBoost model demonstrated strong potential for improving early detection and treatment in clinical settings.…”
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The Effects of Smoking and Airway Restriction on Subclinical Atherosclerosis by Yeşildağ M, Keskin Z, Yavşan DM, Bekci TT, Osmanoglu UO

“…The factors associated with CIMT were FEV₁/FVC ratio (Exp B 0.0952, p=0.003), age (Exp B 1.082, p< 0.001), and cigarette pack-years (Exp B 1.030, p=0.020). In feature importance analysis, the most influential factor on CIMT was the FEV₁/FVC ratio (0.54) indicating COPD, followed by age (0.33) and cigarette pack-years (0.13).Conclusion: Among the factors influencing CIMT, the impact of a decreased FEV₁/FVC ratio was found to be the highest. …”
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Channel attention pyramid network for remote physiological measurement by Jing Zhang, Haixin Sun, Yuhao Hu, Guanghao Zhu, Fang Liu, Boyun Yan, Jiahao Pu, Xiaohui Du, Juanxiu Liu, Lin Liu, Ruqian Hao, Xingguo Wang, Yong Liu

“…The article presents a comprehensive overview of CAP-rPPG, an innovative method for remote physiological measurement through video analysis. This method employs a multi-scale deep learning architecture with a Gaussian pyramid to capture facial features at different scales that are often overlooked in prior work. …”
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Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification by Wenbo Li, Yukun Long, Yingyin Yan, Kun Xiao, Zhuo Wang, Di Zheng, Arnaldo Leal-Junior, Santosh Kumar, Beatriz Ortega, Carlos Marques, Xiaoli Li, Rui Min

“…Additionally, utilizing peak detection algorithms for feature extraction from pulse signals and subsequently employing a variety of machine learning methods, accurate BP monitoring and biometric ID have been realized. …”
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Epizootological study on the prevalence of Aelurostrongylus abstrusus in domestic cats by A. Kravchenko, V. Levytska

“…A total of 278 samples were analyzed, with 21 (7.6 %) testing positive for A. abstrusus. The morphological features of the first-stage larvae of A. abstrusus had key features, including a distinct tail end with a dorsal spine. …”
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Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set by Weijun Gong, You Pu, Tiao Ning, Yan Zhu, Gui Mu, Jing Li

“…To enhance the interpretability of the deep learning model, SHAP analysis was employed to assess feature importance and provide insights into the key drivers of retinopathy prediction.ConclusionDeep learning models can accurately predict retinopathy in diabetic patients. …”
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Preparation of PET matrix gradient composite fiber membrane for coal mine and Study on the dust filtration-moisture permeability by Gang ZHOU, Zhuo XU, Liwei JIANG, Guanshuang CHEN, Yunlong MA, Rulin LIU, Yongmei WANG

“…In addition, the terahertz scanning imaging analysis method was used to carry out the quantitative analysis of liquid water inside of the fiber material. …”
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EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation by Suwicha Jirayucharoensak, Setha Pan-Ngum, Pasin Israsena

“…To alleviate overfitting problem, principal component analysis (PCA) is applied to extract the most important components of initial input features. …”
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iDILI-MT: identifying drug-induced liver injury compounds with a multi-head Transformer by Wanrong Zheng, Fobao Lai

“…We present iDILI-MT (identifying drug-induced liver injury compounds with a multi-head Transformer), a self-contained computational framework that integrates a feed-forward network for sequential feature extraction, a multi-head Transformer encoder for contextual representation learning, and a squeeze-and-excitation attention module for channel-wise feature recalibration. …”
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Rapid identification of foodborne pathogenic bacteria using hyperspectral imaging combined with convolutional neural networks(高光谱结合卷积神经网络对食源性致病菌的快速识别)... by 周贯旭(ZHOU Guanxu), 姜红(JIANG Hong), 徐雪芳(XU Xuefang)

“…It adopts hyperspectral analysis to detect Shigella, Salmonella, Clostridium perfringens, and Streptococcus suis, and collects hyperspectral data. …”
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The Role of ctDNA for Diagnosis and Histological Prediction in Early Stage Non-Small-Cell Lung Cancer: A Narrative Review by Carolina Sassorossi, Jessica Evangelista, Alessio Stefani, Marco Chiappetta, Antonella Martino, Annalisa Campanella, Elisa De Paolis, Dania Nachira, Marzia Del Re, Francesco Guerrera, Luca Boldrini, Andrea Urbani, Stefano Margaritora, Angelo Minucci, Emilio Bria, Filippo Lococo

“…Nevertheless, an interesting and promising field of application is the analysis of ctDNA in the management of early stage non-small-cell lung cancer, both for evaluation before treatment, such as diagnosis and screening, and for prediction of histology or pathological features. …”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…MethodsWe analyzed mumps incidence in Yunnan Province from 2014 to 2023, and used time series data, including mumps incidence, Baidu search index, and environmental factors, from 2016 to 2023, to develop predictive models based on long short-term memory networks. Feature selection was conducted using Pearson correlation analysis, and lag correlations were explored through a distributed nonlinear lag model (DNLM). …”
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Autobiographical memory in Alzheimer’s disease: a systematic review by Chiara Stramba-Badiale, Fabio Frisone, Fabio Frisone, Fabio Frisone, Fabio Frisone, Diana Biondi, Giuseppe Riva, Giuseppe Riva

“…IntroductionAutobiographical memory impairment is a significant feature of Alzheimer’s disease (AD), affecting patients’ ability to recall personal life events and maintain their sense of self. …”
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UruDendro, a public dataset of 64 cross-section images and manual annual ring delineations of Pinus taeda L. by Henry Marichal, Diego Passarella, Christine Lucas, Ludmila Profumo, Verónica Casaravilla, María Noel Rocha Galli, Serrana Ambite, Gregory Randall

“…Key Message The automatic detection of tree-ring boundaries and other anatomical features using image analysis has progressed substantially over the past decade with advances in machine learning and imagery technology, as well as increasing demands from the dendrochronology community. …”
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Epidemiological characteristics of respiratory tract infections during and after the pandemic of COVID-19 from 2021 - 2023 in Shenzhen, southern China by Qiaoruo Jin, Sheng Yu, Jiuxin Qu

“…The analysis focused on changes in detection rates, epidemiological characteristics, and clinical features of respiratory pathogens, including three viruses and eight bacteria. …”
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Confectionery Standards in the Eurasian Economic Union by Elena A. Demchenko

“…The content standards for sulfur dioxide and sulfites in finished products were different. The analysis detected no unified approach to indicators, measurement units, and detection methods. …”
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Building Diagnostics Options for Existing Buildings – Innovative Methods by Zsolt Szurös, Rita Rebeka Ordog, Kitti Ajtayné Károlyfi, Dóra Szalai, Ádám Bukovics

“…The evaluation of the three damage detection methodologies (Geometrical features, Color and intensity information, Combined Method) highlights their complexity, technological requirements, cost, practical applicability, and accuracy. …”
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Nonlinear Parameters for Monitoring Gear: Comparison Between Lempel-Ziv, Approximate Entropy, and Sample Entropy Complexity by Mourad Kedadouche, Marc Thomas, Antoine Tahan, Raynald Guilbault

“…The results demonstrate that ApEn, SampEn, and LZC provide alternative features for signal processing. A new methodology is presented combining both Kurtosis and LZC for early detection of faults. …”
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Cinical, morphological and functional comparisons in acute period of ischemic hemispheric stroke by A. A. Kuznetsov

“…Objectives of investigation: Detection and specification of electroencephalography violations in acute period of ischemic supratentorial stroke in aspect of lateralization of lesion focus and its influence on contralateral hemisphere; comparative analysis of EEG-pattern with morphological criterions of the lesion focus (based on computed tomography data) and clinical structure in patients with acute period of ischemic supratentorial stroke according to stroke lateralization; estimation of diagnostic and prognostic criteria of stroke course based on the results of indicated investigations according to lateralization of necrobiotic lesion focus. …”
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Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…This design enables DVE-YOLO to capture dynamic object features, reveal correlations of detected objects across frames, and facilitate efficient tracking and detection. …”
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