Prediction of Crack Propagation Directions in Dissimilar Metal-Welded Joints Using Phase-Field Models and Discussion of Its Mechanisms by Lingyan Zhao, Bin Yang, Zheng Wang

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Physical measures of physical functioning as prognostic factors in predicting outcomes for neck and thoracic pain: Protocol for a systematic review. by Rabea Begum, Alison Rushton, Alaa El Chamaa, David Walton, Paul Parikh

“…Therefore, it is important to understand factors predicting outcome to inform effective examination and treatment. …”
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Use of Video Laryngoscope in Sedated Spontaneously Breathing Patients with Predicted Difficult Tracheal Intubation and Impossibility of Using Fibreoptic Bronchoscopy by Alba Piroli, Ida Marsili, Franco Marinangeli, Silvia Costanzi, Luca Gentili, Antonella Paladini

“…Intubation with a flexible fibrobronchoscope in an awake patient is frequently considered the technique of choice in patients with predicted difficult intubation. There are, however, situations in which the use of the fibrobronchoscope is not applicable, particularly due to problems attributable to the patient or to limited use of the instrument. …”
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Predictive role of the prognostic nutritional index for long-term prognosis among patients undergoing pancreatoduodenectomy: a meta-analysis by Ying Liu, Keyu Li

“…Abstract Purpose To identify the predictive role of the preoperative prognostic nutritional index (PNI) for long-term survival in patients undergoing pancreatoduodenectomy. …”
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EXO1 is a key gene for lung-resident memory T cells and has diagnostic and predictive values for lung adenocarcinoma by Zhuoqi Li, Xiaoyan Lin, Yuanhui Yang, Mei Tian, Lu Zhang, Fujing Huang, Xiao Wen, Zhigang Wei, Yuan Tian

“…However, the roles of EXO1 in the tumor microenvironment, and its application in the diagnosis and prognosis prediction of LUAD are still inadequately explored. …”
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PBMCs gene expression predicts liver fibrosis regression after successful HCV therapy in HIV/HCV-coinfected patients by Ana Virseda-Berdices, Ana Virseda-Berdices, Óscar Brochado-Kith, Óscar Brochado-Kith, Juan Berenguer, Juan Berenguer, Juan Berenguer, Juan González-García, Juan González-García, Juan González-García, Leire Pérez-Latorre, Leire Pérez-Latorre, Leire Pérez-Latorre, Carmen Busca, Carmen Busca, Carmen Busca, Cristina Díez, Cristina Díez, Cristina Díez, Rafael Micán, Rafael Micán, Rafael Micán, Amanda Fernández-Rodríguez, Amanda Fernández-Rodríguez, María Ángeles Jiménez-Sousa, María Ángeles Jiménez-Sousa, Salvador Resino, Salvador Resino

“…Two SDE genes achieved excellent discrimination ability: NCAPG had an AUROC of 0.908, NHLRC1 of 0.879, and a logistic regression model with these two genes of 0.955.ConclusionA pre-treatment gene expression signature in PBMCs was associated with liver fibrosis regression (LSMred>50%) after achieving HCV clearing with HCV therapy in HIV/HCV-coinfected patients, where two SDE genes (NCAPG and NHLRC1) showed the greatest predictive capacity, which could be used as a noninvasive marker of liver fibrosis regression.…”
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Impact of hepatic steatosis on the efficacy of antiviral treatment for chronic hepatitis B and the establishment of predictive model: a cohort study by Guanghui Ren, Kaining Jia, Shi Yin, Yunpeng Guan, Qingwei Cong, Ying Zhu

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Negative valuation of ambiguous feedback may predict near-term risk for suicide attempt in Veterans at high risk for suicide by Catherine E. Myers, Catherine E. Myers, Rokas Perskaudas, Rokas Perskaudas, Vibha Reddy, Chintan V. Dave, Chintan V. Dave, John G. Keilp, Arlene King, Kailyn Rodriguez, Kailyn Rodriguez, Lauren St. Hill, Rachael Miller, Alejandro Interian, Alejandro Interian

“…Differences in the reinforcement value of the neutral outcome remained predictive for ASA even after controlling for current suicidal ideation and prior suicide attempts.ConclusionA reinforcement learning task with ambiguous neutral outcomes may provide a useful tool to help predict near-term risk of ASA in at-risk patients. …”
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Middle Cerebral Artery Pulsatility Index for Prediction of Successful Induction of Labour in Postdated Pregnancy: A Prospective Observational Study by Yashi Nagar, Rekha Bharti, Kajal Baleja, Amita Malik, Divya Pandey, Jyotsna Suri

“…At a cut-off of <1.67, MCA PI had a sensitivity of 100%, a specificity of 99.3%, a Positive Predictive Value (PPV) of 84.6%, a Negative Predictive Value (NPV) of 100%, and diagnostic accuracy of 99.3%, for prediction of successful IOL. …”
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Predicting Welding Distortion in a Panel Structure with Longitudinal Stiffeners Using Inherent Deformations Obtained by Inverse Analysis Method by Wei Liang, Hidekazu Murakawa

“…If welding deformation can be accurately predicted beforehand, the predictions will be helpful for finding effective methods to improve manufacturing accuracy. …”
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

“…This study aimed to develop prognostic models for predicting renal graft survival and compare the performance of statistical and machine learning models. …”
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Simulation and Prediction of Injection Pressure in CO2 Geological Sequestration Based on Improved LSO Algorithm and BP Neural Networks by Miaomiao Liu, Xiaofei Fu, Shanpo Jia, Yongsheng Zhang, Yuying Zhang, Dan Yao

“…Following this, the neural network is optimized by ILSO algorithm whose superiority is verified through 8 benchmark functions, and the maximum injection pressure is effectively predicted according to porosity, permeability, and other parameters. …”
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Development and validation of a prognostic nomogram for predicting of patients with acute sedative-hypnotic overdose admitted to the intensive care unit by Guo Tang, Tianshan Zhang, Ping Zhang, Sha Yang, Tao Cheng, Rong Yao

“…Abstract To develop and evaluate a predictive model for intensive care unit (ICU) admission among patients with acute sedative-hypnotic overdose. …”
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Identifying spatiotemporal pattern and trend prediction of land subsidence in Zhengzhou combining MT-InSAR, XGBoost and hydrogeological analysis by Zheng Zhou, Jiyuan Hu, Jiayao Wang, Lijun Wang, Tianrong Qiao, Zhen Li, Shiyuan Cheng

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A Study on the Prediction of House Price Index in First-Tier Cities in China Based on Heterogeneous Integrated Learning Model by Yaqi Mao, Yonghui Duan, Yibin Guo, Xiang Wang, Shen Gao

“…To address the difficulty of low prediction accuracy, insufficient model stability, and certain lag associated with a single machine learning model in the prediction of house price, this paper proposes a multimodel fusion house price prediction model based on stacking integrated learning. …”
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CPT Model-Based Prediction of the Temporal and Spatial Distributions of Passenger Flow for Urban Rail Transit under Emergency Conditions by Wei Li, Min Zhou, Hairong Dong

“…It is of great practical significance to accurately predict the urban rail transit passenger flow and carry out research on its temporal and spatial distributions under emergency conditions. …”
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A Nomogram Model for Mortality Risk Prediction in Pulmonary Tuberculosis Patients Subjected to Directly Observed Treatment Shortcourse (DOTS) by Yi Xie, Jing Han, Weili Yu, Zhili Hou, Zhen Wan

“…The calibration curve shows that the average absolute error between the predicted mortality risk and the actual death risk is 0.003. …”
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Stratification system with dual human endogenous retroviruses for predicting immunotherapy efficacy in metastatic clear-cell renal cell carcinoma by Li Xu, Stephane Oudard, Catherine Sautes-Fridman, Xiaoping Su, Gabriel G. Malouf, Virginie Verkarre, Salma Kotti, Fangrong Yan, Yann-Alexandre Vano, Wolf Herve Fridman, Cheng-Ming Sun, Xiaofan Lu, Wenxuan Cheng

“…Notably, this ERV-based classification outperformed traditional transcriptomic signatures in predicting ICI efficacy and showed further improvement when combined with epigenetic DNA methylation markers.Conclusions Our findings introduce a dual ERV-based stratification system that effectively categorizes patient risk and predicts clinical outcomes for ccRCC patients undergoing ICI therapy. …”
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Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles by Xi Tang, Jingke He, Qin Huang, Yi Chen, Ke Chen, Jing Liu, Yingyu Tian, Hui Wang

“…The calibration curves exhibited good concordance between the predicted survival probabilities and actual observations. …”
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Stability prediction of circular sliding failure soil slopes based on a genetic algorithm optimization of random forest algorithm by Shengming Hu, Yongfei Lu, Xuanchi Liu, Cheng Huang, Zhou Wang, Lei Huang, Weihang Zhang, Xiaoyang Li

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