Preliminary Evaluation of a Numerical System of Prediction for Surface Solar Irradiance and Cloudiness in a Site with a Subtropical Humid Climate by Gabriel Cazes Boezio

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A New Functional Model for Prediction of Chaperone Activity of the Recombinant M. tb Acr (α-Crystallin) Using Insulin as Substrate by Gautam Krishnan, Utpal Roy

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Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study by Zijian Zheng, Zijian Zheng, He Wang, Qianxi Chen, Qianxi Chen, Zhicheng Wang, Zhicheng Wang, Jun Fu, Jun Fu, Wenjian Fan, Wenjian Fan, Yuanxiang Lin, Yuanxiang Lin, Dezhi Kang, Dezhi Kang, Dezhi Kang, Changzhen Jiang, Changzhen Jiang, Zhangya Lin, Zhangya Lin, Xiaorong Yan, Xiaorong Yan, Xiaorong Yan

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Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging by Abigail Keogan, Thi Nguyet Que Nguyen, Pascaline Bouzy, Nicholas Stone, Karin Jirstrom, Arman Rahman, William M. Gallagher, Aidan D. Meade

“…Abstract Predicting long-term recurrence of disease in breast cancer (BC) patients remains a significant challenge for patients with early stage disease who are at low to intermediate risk of relapse as determined using current clinical tools. …”
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Value of C-Reactive Protein in Predicting Left Ventricular Remodelling in Patients with a First ST-Segment Elevation Myocardial Infarction by Iwona Swiatkiewicz, Marek Kozinski, Przemyslaw Magielski, Tomasz Fabiszak, Adam Sukiennik, Eliano Pio Navarese, Grazyna Odrowaz-Sypniewska, Jacek Kubica

“…To assess the value of C-reactive protein (CRP) in predicting postinfarct left ventricular remodelling (LVR). …”
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Prediction of Insulin Resistance and Impaired Fasting Glucose Based on Sex Hormone-Binding Globulin (SHBG) Levels in Polycystic Ovary Syndrome by Aleksandra Biernacka-Bartnik, Piotr Kocełak, Aleksander Jerzy Owczarek, Piotr Choręza, Monika Puzianowska-Kuźnicka, Leszek Markuszewski, Paweł Madej, Jerzy Chudek, Magdalena Olszanecka-Glinianowicz

“…Empirical optimal cutoff values for SHBG levels were ≤41.5 nmol/L typical for IR (AUC 0.711, sensitivity 61.1%, specificity 71.6%, positive predictive value (PPV) 70.7%, and negative predictive value (NPV) 62.1%). …”
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Dynamic Output Feedback Robust Model Predictive Control via Zonotopic Set-Membership Estimation for Constrained Quasi-LPV Systems by Xubin Ping, Ning Sun

“…For the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance, a synthesis approach of dynamic output feedback robust model predictive control (OFRMPC) is investigated. The estimation error set is represented by a zonotope and refreshed by the zonotopic set-membership estimation method. …”
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Remnant cholesterol and its variability independent of low density lipoprotein cholesterol predict metabolic dysfunction associated steatotic liver disease by Yuting Sun, Xinlei Miao, Manling Hu, Xiaoling Xie, Shuang Liu, Ziping Song, Jiayi Deng, Fei Xu, Meng Li, Yangxuan He, Song Leng

“…Abstract This study aimed to determine whether remnant cholesterol (RC) and its variability can predict the onset of metabolic dysfunction-associated steatotic liver disease (MASLD) independently of low-density lipoprotein cholesterol (LDL-C) levels. …”
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Comparison of Resampling Methods and Radiomic Machine Learning Classifiers for Predicting Bone Quality Using Dual-Energy X-Ray Absorptiometry by Mailen Gonzalez, José Manuel Fuertes García, María Belén Zanchetta, Rubén Abdala, José María Massa

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Development and validation of risk models to predict chronic kidney disease among people living with HIV: protocol for a systematic review by A P Kengne, Adesola Z Musa, Babatunde L Salako, Nasheeta Peer, Oluwatosin Olaseni Odubela, Nkiruka Odunukwe

“…Using appropriate tools designed for predictive modelling investigations, the included papers will be rigorously assessed for bias and applicability. …”
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Response to Initial Therapy of Differentiated Thyroid Cancer Predicts the Long-Term Outcome Better than Classical Risk Stratification Systems by Albert Cano-Palomares, Ignasi Castells, Ismael Capel, Maria Rosa Bella, Santi Barcons, Angel Serrano, Xavier Guirao, Mercedes Rigla

“…Each patient was stratified using ETA, ATA, and RIT systems. Negative predictive value (NPV) and positive predictive value (PPV) were determined. …”
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Soil degradation risk prediction in an arid region (Northern Tataouine, Tunisia): using an empirical model coupling with remote sensing and GIS by Amal Gammoudi, Hanen Guesmi, Ahmed Tebini, Rafla Attia, Thouraya Sahli Chahed, Hosni Trabelsi

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Development and validation of a prediction model of hospital mortality for patients with cardiac arrest survived 24 hours after cardiopulmonary resuscitation by Renwei Zhang, Zhenxing Liu, Yumin Liu, Li Peng

“…ObjectiveResearch on predictive models for hospital mortality in patients who have survived 24 h following cardiopulmonary resuscitation (CPR) is limited. …”
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A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study by Yan Lei, Na Zhang, Yu Liu, Xin Du

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Tolterodine is a novel candidate for assessing CYP3A4 activity through metabolic volatiles to predict drug responses by Valentina Stock, Rebecca Hofer, Franziska Lochmann, Vera Spanke, Klaus R. Liedl, Jakob Troppmair, Thierry Langer, Hubert Gstach, Christian Dank, Chris A. Mayhew, Sarah Kammerer, Veronika Ruzsanyi

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Risk Prediction for Ship Encounter Situation Awareness Using Long Short-Term Memory Based Deep Learning on Intership Behaviors by Jie Ma, Wenkai Li, Chengfeng Jia, Chunwei Zhang, Yu Zhang

“…Encounter risk prediction is critical for safe ship navigation, especially in congested waters, where ships sail very near to each other during various encounter situations. …”
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Study of Predictive Value of Middle Ear Risk Index on Hearing Improvement in Patients Undergoing Surgery for Chronic Suppurative Otitis Media by Bipin Kishore Prasad, Nitya Singh, Ramesh AV

“… Introduction: Middle ear risk index is one of the most reliable measuring tools to predict and evaluate the results of tympanoplasty. …”
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Development of a 3-MicroRNA Signature and Nomogram for Predicting the Survival of Patients with Uveal Melanoma Based on TCGA and GEO Databases by Jun Zuo, Hongquan Ye, Jing Tang, Jianqun Lu, Qi Wan

“…The nomogram worked well for predicting 1 and 3 years of overall survival time. The decision curve of nomogram revealed a good clinical usefulness of our nomogram. …”
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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

“…This study proposes an Ultrasonic-AI Hybrid Approach for predicting void defects in concrete-filled steel tubes (CFST). …”
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Low Systemic Inflammation Response Index Predicts Good Prognosis in Locally Advanced Pancreatic Carcinoma Patients Treated with Concurrent Chemoradiotherapy by Erkan Topkan, Huseyin Mertsoylu, Ahmet Kucuk, Ali Ayberk Besen, Ahmet Sezer, Duygu Sezen, Yasemin Bolukbasi, Ugur Selek, Berrin Pehlivan

“…Pretreatment SIRI is a novel independent prognosticator that may further enhance the conventional tumor-node-metastases staging system in a more precise prediction of the OS and PFS outcomes of LAPC patients after radical CRT.…”
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