A Hybrid Lumped Parameters/Finite Element/Boundary Element Model to Predict the Vibroacoustic Characteristics of an Axial Piston Pump by Shaogan Ye, Junhui Zhang, Bing Xu, Wei Song, Shiqiang Zhu

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Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

“…Second, to analyze variable importance contributing to the predictive outcomes. The descriptive analysis revealed a mean DOA percentage of 0.14% (range: 0 to 22.46%, SD = 0.49). …”
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Application of quantitative protein mass spectrometric data in the early predictive analysis of membrane-bound target engagement by monoclonal antibodies by Armin Sepp, Morris Muliaditan

“…We evaluate the insight afforded to target tissue distribution by analyzing the likely tumor-targeting accuracy of mAbs recognizing either epidermal growth factor receptor or its homolog HER2. Surprisingly, the predicted tissue concentrations of both these targets exceed the Kd values of their respective therapeutic mAbs. …”
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Anti-Tick-Bourne Encephalitis IgM Intrathecal Synthesis as a Prediction Marker in Tick-Borne Encephalitis Patients by Piotr Czupryna, Sambor Grygorczuk, Agnieszka Siemieniako-Werszko, Jakub Okrzeja, Justyna Dunaj-Małyszko, Justyna Adamczuk, Sławomir Pancewicz, Joanna Zajkowska, Karolina Narejko, Joanna Oklińska, Gabriela Trojan, Anna Moniuszko-Malinowska

“…The aim of this study was to evaluate the usefulness of IgM anti-Tick-Borne Encephalitis (anti-TBE) intrathecal synthesis in the diagnosis and prediction of the clinical course of the disease. Thirty-six patients were included in the study (patients reported symptoms such as fever, headache, fatigue, and nausea/vomiting). …”
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Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection by Weihai Huang, Yulan Lin, Enling Xu, Yanmei Ji, Jing Wang, Fengqiong Liu, Fa Chen, Yu Qiu, Bin Shi, Lisong Lin, Baochang He

“…Randomized survival forest (RSF) was used to assess the relative importance of preoperative PIV in prognostic prediction. Finally, a Nomogram model was plotted to predict the prognosis of oral cancer patients. …”
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Predicting the Health‐Promoting Lifestyle Profile of Pregnant Women Based on Their Health Literacy Levels: A Cross‐Sectional Study by Nastaran Rafat, Fatemeh Bakouei, Hajar Adib‐Rad, Hossein‐Ali Nikbakht, Sareh Bakouei

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Corrigendum to “Data-Driven Prediction System of Dynamic People-Flow in Large Urban Network Using Cellular Probe Data” by Xiaoxuan Chen, Fan Ding, Xia Wan, Qing Li, Charlie McCarthy, Yang Cheng, Bin Ran

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A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

“…Specifically, for stage T4 and N2 rectal cancer cases, the model achieved AUCs of 96.67% (95% CI, 87.14%-100%, 93.33% sensitivity, 89.04% specificity, 94.74% accuracy), and 96.83% (95% CI, 88.67%-100%, 100% sensitivity, 83.33% specificity, 88.00% accuracy) respectively, in predicting RCLM. Our DL model showed a better predictive performance than other state-of-the-art DL methods.ConclusionThe superior performance demonstrates the potential of our work for predicting RCLM, suggesting its potential assistance in personalized treatment and follow-up plans.…”
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Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network by Qingchun Guo, Zhenfang He, Zhaosheng Wang

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Numerical Prediction of Hydrodynamic Loading on Circular Cylinder Array in Oscillatory Flow Using Direct-Forcing Immersed Boundary Method by Ming-Jyh Chern, Wei-Cheng Hsu, Tzyy-Leng Horng

“…Cylindrical structures are commonly used in offshore engineering, for example, a tension-leg platform (TLP). Prediction of hydrodynamic loadings on those cylindrical structures is one of important issues in design of those marine structures. …”
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A movable technological simulation system for kinematic analysis to provide immediate accurate feedback and predict javelin throw distance by Essam Eldin Hassan

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Mortality Prediction in the Emergency Service Intensive Care Patients with Possible COVID-19: A Retrospective Cross-Sectional Study by Mehmed Ulu, M. Kaya, Y. Tunc, H. Yildirim, A. Halici, A. Coskun

“…This study aims to determine the impact COVID-19 on mortality, evaluate the performance of Acute Physiology and Chronic Health Evaluation-2 Scores (APACHE II), Sequential Organ Failure Assessment Scores (SOFA) and Pneumonia Severity Index (PSI) for mortality prediction in the COVID-19 suspected patients. MATERIALS AND METHODS: This study is a retrospective cross-sectional analysis of patients who were admitted to the pandemic intensive care unit with possible COVID-19. 28-day mortality difference between positive and negative groups was defined as the primary outcome. …”
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Study on the Mechanism, Prediction, and Control of Coal Wall Spalling in Deep Longwall Panels Utilizing Advanced Numerical Simulation Methodology by Sunny Murmu, Gnananandh Budi

“…The empirical models depicted good predictive ability with R2 values greater than 0.9. …”
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Hydration of Early Age Cement Paste with Nano-CaCO3 and SAP by LF-NMR Spectroscopy: Mechanism and Prediction by Haitao Zhao, Gaoyang Sun, Lu Yu, Kaidi Jiang, Xiaodong Chen, Ruiming Jia, Yi Wan, Shihai Li

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Baseline 18F-FDG PET/CT parameters in predicting the efficacy of immunotherapy in non-small cell lung cancer by Lu Zheng, Lu Zheng, Yanzhu Bian, Yanzhu Bian, Yujing Hu, Congna Tian, Xinchao Zhang, Shuheng Li, Xin Yang, Yanan Qin

“…ObjectiveTo analyse positron emission tomography/ computed tomography (PET/CT) imaging and clinical data from patients with non-small cell lung cancer (NSCLC), to identify characteristics of survival beneficiaries of immune checkpoint inhibitors (ICIs) treatment and to establish a survival prediction model.MethodsA retrospective analysis was conducted on PET/CT imaging and clinical parameters of 155 NSCLC patients who underwent baseline PET/CT examination at the Department of Nuclear Medicine, Hebei General Hospital. …”
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Improving natural red pigment production by Streptomyces phaeolivaceus strain GH27 for functionalization of textiles with in silico ADME prediction by Gehad H. El Sayed, Mohamed Fadel, Rasha Fouad, Hend M. Ahmed, Ahmed A. Hamed

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Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosisResearch in context by Caihong Ning, Hui Ouyang, Jie Xiao, Di Wu, Zefang Sun, Baiqi Liu, Dingcheng Shen, Xiaoyue Hong, Chiayan Lin, Jiarong Li, Lu Chen, Shuai Zhu, Xinying Li, Fada Xia, Gengwen Huang

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Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS by Chaoyi Yin, Kede Chi, Zhiqing Chen, Shabin Zhuang, Yongsheng Ye, Binshan Zhang, Cailiang Cai

“…The RSF model identified key predictive genes including OLFML2B, ACTB, and C1QB, and demonstrated broad applicability across multiple cancer types. …”
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Th1/Th2 cytokines and ICAM–1 levels post-liver transplant do not predict early rejection by E. Granot, A. Tarcsafalvi, S. Emre, P. Sheiner, S. Guy, M. E. Schwartz, P. Boros, C. M. Miller

“…Thus, Th1/Th2 cytokine monitoring during the first week post-transplant does not predict early rejection and immunosuppressive therapy is the predominant factor affecting ICAM and sIL–2R levels after liver transplantation.…”
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PD-L1 Expression and CD8+ T Cell Infiltration Predict a Favorable Prognosis in Advanced Gastric Cancer by Yangyang Wang, Chunchao Zhu, Wei Song, Jun Li, Gang Zhao, Hui Cao

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