3D Reconstruction of Asphalt Pavement Macro-Texture Based on Convolutional Neural Network and Monocular Image Depth Estimation by Xinliang Liu, Chao Yin

“…The model exhibited excellent robustness under different conditions. Furthermore, based on extensive field data, this study established a quantitative relationship between MTD and friction coefficient, developing a more accurate pavement skid resistance evaluation system to support maintenance decision-making.…”
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Multiomics-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Patients With Extensive-Stage Small Cell Lung Cancer Receiving Chemoimmunotherapy: A Retrospectiv... by Nie F, Pei X, Du J, Shi W, Wang J, Feng L, Liu Y

“…The model’s predictive ability was evaluated using the receiver operating characteristic (ROC) curve and clinical decision curve analysis(DCA). …”
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Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDS by Ling Gao, Tingting Liu, Xiaoyan Li

“…The diagnostic value of these hub genes was assessed using receiver operating characteristic (ROC) curve analysis. Finally, their expression levels were validated in clinical samples using RT-qPCR. …”
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Prognostic Significance, Radiological, and Metabolic Characteristics of Metastatic Lymph Nodes in Resectable Non‐Small Cell Lung Cancer Following Neoadjuvant Chemoimmunotherapy by Tianxiao Han, Sida Cheng, Xun Wang, QingYi Qi, Jinchuan Chen, Wenxiang Wang, Jian Zhou, Yun Li, Kezhong Chen, Hao Li, Fan Yang

“…Survival outcomes and radiological and metabolic changes were analyzed across different lymph node pathological response groups, and a least absolute shrinkage and selection operator (LASSO) logistic regression model was developed to predict mLNs' response. …”
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A computer-based method for the automatic identification of the dimensional features of human cervical vertebrae by Nicola Cappetti, Luca Di Angelo, Carlotta Fontana, Antonio Marzola

“…The manual method demonstrated poor repeatability and reproducibility, with substantial differences between the minimum and maximum values for the measured features in intra- and inter-operator evaluations. …”
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Building radiomics models based on ACR TI-RADS combining clinical features for discriminating benign and malignant thyroid nodules by Xingxing Chen, Xingxing Chen, Lili Zhang, Bin Chen, Jiajia Lu

“…The diagnostic performance of different models was calculated and compared using the area under the receiver operating curve (AUC) and the corresponding sensitivity and specificity.ResultsEight radiomics features were independent signatures for predicting malignant TNs, with malignant TNs having higher Rad-scores in both cohorts (P < 0.05). …”
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Immunotyping of thyroid cancer for clinical outcomes and implications by Jin Xu, Zhen Luo, Dayong Xu, Mujing Ke, Cheng Tan

“…The expression of the corresponding genes in 10 pairs of clinical specimens was evaluated and those of proteins were analyzed by immunofluorescence assay. …”
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Requirements for the information on reference standards submitted in the dossier for biologicals by R. A. Volkova, O. V. Fadeikina, O. B. Ustinnikova, K. A. Sarkisyan, A. A. Movsesyants, V. A. Merkulov, V. V. Kosenko

“…Additionally, the authors analysed the experience of RS certification and use at the Scientific Centre for Expert Evaluation of Medicinal Products. This article covers specific aspects of biological RS certification, considering the differences between measurement techniques and analytical procedures. …”
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Fleet‐Wide Data‐Driven Model Generation Process for Residual‐Based Fault Detection in Wind Energy by Théodore Raymond, Sylvie Charbonnier, Christophe Bérenguer, Alexis Lebranchu

“…The fault detection ability of these indicators is evaluated on four faults impacting four components from different wind farms and manufacturers, using receiver operating characteristic curves. …”
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Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya by Maureen A. Wanzala, Elisabeth M. Stephens, Hannah L. Cloke, Andrea Ficchi

“…Abstract The choice of model for operational flood forecasting is not simple because of different process representations, data scarcity issues, and propagation of errors and uncertainty down the modeling chain. …”
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ROBOTIC CATHETER ABLATION OF PERSISTENT ATRIAL FIBRILLATION (RANDOMIZED TRIAL RESULTS) by M. A. Naymushin, D. S. Lebedev

“…Sinus rhythm retention was evaluated with Holter 24-hour ECG monitoring and 12-channel ECG. …”
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Geological Hazard Risk Assessment Based on Time-Series InSAR Deformation: A Case Study of Xiaojin County, China by Jiancun Li, Zhao Yan, Liqiang Tong, Yi Wang, Shangyuan Yu

“…The results indicate that: (1) after incorporating time-series InSAR deformation monitoring results as evaluation factors into the information volume model and evidence weight model, the evaluation accuracy of the two models improved by 9.69% and 11.26%, respectively; (2) there are differences in risk partitioning among different evaluation models. …”
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Cross-layer latency analysis for 5G NR in V2X communications. by Jorge Horta, Mario Siller, Salvador Villarreal-Reyes

“…This paper introduces an analytical model for the performance evaluation of 5G NR. The developed model describes the behavior of the different layer 1 and 2 protocols involved in 5G radio communication. …”
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DETERMINE THE RANGE OF VARIATION OF THE CONTROL SUBSYSTEM OUTPUT PARAMETERS by M. A. Bobrin

“…For the evaluation of the tolerance of output parameters of the controls functional subsystem the hydraulic system under different operating conditions and phases of flight are given mathematical relationships and the results obtained in Mathcad are given in graphical form.…”
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Master–Slave Game Optimization Scheduling of Multi-Microgrid Integrated Energy System Considering Comprehensive Demand Response and Wind and Storage Combination by Hongbin Sun, Hongyu Zou, Jianfeng Jia, Qiuzhen Shen, Zhenyu Duan, Xi Tang

“…To tackle this, a novel multi-load and multi-type integrated demand response model is proposed, which fully accounts for the heterogeneous characteristics of energy demands in different campus environments. A leader–follower two-layer game equilibrium model is introduced, where the system operator acts as the leader, and campus load aggregators, energy storage plants, and wind farm operators serve as followers. …”
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MSHRNet: a multi-scale high-resolution network for land cover classification from high spatial resolution remote sensing images by Fang Chen, Zhihui Ou, Congrong Li, Lei Wang, Bo Yu

“…Additionally, we introduce a Laplacian operator-based boundary loss function (LBLoss) to further improve segmentation performance. …”
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Construction and validation of a machine learning based prognostic prediction model for children with traumatic brain injury by Yongwei Wei, Jiandong Wang, Yu Su, Fan Zhou, Huaili Wang

“…The subgroup analysis showed that there were differences in the risk scores of children with different GCS scores, pupillary light reflexes, and head hematoma locations, and there were also differences in the prognosis between the high-risk score group and the low-risk score group within them.ConclusionThe extended model can accurately predict the prognosis of TBI patients and has strong clinical utility. …”
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Anatomical Parameter-driven Volumetric Modulated Arc Therapy Optimization in Left-sided Breast Cancer: A Machine Learning Framework for Lung Dose Prediction by Mukesh Kumar Zope, Deepali Patil, Rishi Raj, Seema Devi, Richa Madhawi

“…In addition, we established predictive models for lung doses utilizing the Least Absolute Shrinkage and Selection Operator, ridge, and linear regression algorithms while also evaluating dosimetric parameters for both the PTV and the organs at risk (OARs). …”
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Preoperative prediction of flexible ureteroscopy outcome in the treatment of renal calculi by Mohammed Abozaid, Eid Elsherif, Fatma Elserafy, Islam Abobakr, Mohamed Selim

“…Patients with residuals had higher rates of multiple (61.5% vs 16.7%, p < 0.001) and lower pole (61.5%vs 37.0%, p = 0.039) calculi. Hydronephrosis, operator experience, HU, access sheath use, pre-stenting, and total Ito score were not significantly different between stone-free patients and patients with residuals. …”
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Association between dietary inflammatory index and osteoporosis in the US population: evidence from NHANES 2003–2010 by Zhiwen Liu, Huanling Jian, Zijing Peng, Sicheng Xiong, Zhihai Zhang

“…Subgroup analyses showed similar patterns across different groups, as illustrated by the forest plot. …”
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