A Predictive Analysis of the Business Environment of Economies along the Belt and Road Using the Fractional-Order Grey Model by Lingling Pei, Jun Liu

“…The empirical results show that the FGM (1, 1) model has a good predicting effect on the business environment. …”
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A neural-network-enhanced parameter-varying framework for multi-objective model predictive control applied to buildings by Dylan Wald, Olga Doronina, Kathryn Johnson, Ryan King, Michael Sinner, Kevin Griffin, Rohit Chintala, Deepthi Vaidhynathan, Jibonananda Sanyal, Marc Day

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Analysis of Risk Factors and Development of a Predictive Model for Delirium in ICU Patients: Construction, Validation, and Clinical Implications by Li X, Zhang W, Wang T, Qiu Z, Sun X, Qu W, Zhang G

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An immune-based predictive model for HBV clearance: validation in multicenter cohorts and mechanistic insights from in vivo studies by Rongzheng Zhang, Han Qiao, Kun Zhou, Xiaomei Ju, Xinyang Cao, Jianming Dong, Meng Wu, Le Yu, Shuyun Zhang

“…Abstract Background Chronic HBV infection is a major risk factor for hepatocellular carcinoma, posing a significant global health burden. However, predictive models for HBV clearance based on immune biomarkers remain limited. …”
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An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management by Soumya Ranjan Biswal, Tanmoy Roy Choudhury, Babita Panda, Subhrajyoti Mishra

“…A hybrid predictive model integrating Extreme Gradient Boosting (XGBoost) for static feature learning and Long Short-Term Memory (LSTM) for sequential pattern recognition is proposed, coupled with a priority-based DSM framework deployed on a Raspberry Pi IoT platform. …”
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Unleashing the antimicrobial potential of high-pressure processing on beverages, sauces, purées, and milk: A predictive modelling approach by Tareq Osaili, Zoha Waseem, Fayeza Hasan, Anas A. Al-Nabulsi, Amin N. Olaimat, Marwan Al-Momani, Terezia Hornikova, Mutamed Ayyash, Reyad Obaid, Richard Holley

“…A literature search was performed on articles appearing prior to March 12, 2023, using Scopus and PubMed. A regression model using a forward selection technique was applied to predict the microbial reductions. …”
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Enabling Advanced Land Cover Analytics: An Integrated Data Extraction Pipeline for Predictive Modeling With the Dynamic World Dataset by Victor Radermecker, Andrea Zanon, Nancy Thomas, Annita Vapsi, Saba Rahimi, Rama Ramakrishnan, Daniel Borrajo

“…To demonstrate the power of our pipeline, we use it to extract data for an urbanization prediction problem and build a suite of machine learning models with excellent performance. …”
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A predictive machine learning model for cannabinoid effect based on image detection of reactive oxygen species in microglia. by Patricia Sinclair, William Jeffries, Nadege Lebert, Maheen Saeed, Aman Ullah, Nadine Kabbani

“…Confocal microscopy images within microglia were coupled to a deep learning model using a convolutional neural network (CNN) to predict ROS responses. …”
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Predictive Model with Machine Learning for Environmental Variables and PM_2.5 in Huachac, Junín, Perú by Emery Olarte, Jhonatan Gutierrez, Gwayne Roque, Juan J. Soria, Hugo Fernandez, Jackson Edgardo Pérez Carpio, Orlando Poma

“…The objective of this study was to model the behavior of PM_2.5AQI (air quality index) using machine learning (ML) predictive models of linear regression, lasso, ridge, and elastic net. …”
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Predictive role of a combined model for futile recanalization in acute ischemic stroke: a retrospective cohort study by Yangbin Zhou, Yitao Zhou, Huijie Yang, Xiaoyan Wang, Xiping Zhang, Ganying Huang, Ganying Huang

“…ROC curve was used to plot the ability to predict FR after MT, and then the combined model was constructed and evaluate the predictive ability of this model to FR.Results198 patients who achieved successful recanalization were included in the analysis, of whom 124 experienced UR and 74 experienced FR. …”
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The predictive value and model establishment of body composition in the long-term prognosis of patients after rectal cancer surgery by LIU Shuo, LU Yun, HU Jilin, YANG Wenchang, ZHAO Rizhi, XU Wenda, YANG Hanyu, LU Zechen, MA Zheng, DU Zhaolin, GAO Yunzhi, GAO Yuan

“…Based on the results of the multivariate analysis, a nomogram prediction model was developed, its predictive power and accuracy were assessed using the receiver operating characteristic (ROC) curve, calibration plots and decision curve analysis (DCA), and internal validation was conducted. …”
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Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights by Sina Sarfarazi, Rabee Shamass, Federico Guarracino, Ida Mascolo, Mariano Modano

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Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm by Haitao Li, Chenyu Wang, Shufu Yuan, Hui Zhu, Bo Li, Yuexin Liu, Li Sun

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Predictive modeling to evaluate long-term treatment effectiveness of darvadstrocel in patients with complex perianal fistulas in Crohn’s disease by Chitra Karki, Gary Hantsbarger, Erika Turkstra, Elisabetta Fenu, Ken Genenz, Inmaculada Gilaberte, Julián Panés

“…Methods Data were pooled from a clinical trial (ADMIRE-CD) and two retrospective chart review studies (INSPECT and PREFACE). Predictive statistical models extrapolated clinical outcomes beyond observed follow-up using parametric curves, which were implemented into a semi-Markov model to obtain the number of patients in remission. …”
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Clean-Room Air Conditioning Control Based on Improved Min-Max Robust Model Predictive Control Algorithm by Qiang Luo, Ting Wang

“…The Min-Max robust model predictive control algorithm was 0.73 at the lowest and 4.3 at the highest. …”
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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data. by Chunjie She, Hefeng Liu

“…The performance of the prediction model was assessed using various metrics, including the area under the receiver operating characteristic curve (AUC), calibration curve, the Hosmer-Lemeshow test, and decision curve analysis (DCA).…”
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Predictive model of the relationship between social support, body image perception, and physical activity among university students by Xuejiao Gao, Xiaolin Wang, Chen Soon Chee, Shamsulariffin bin Samsudin, Muhammad Zarif Hassan, Luhong Ma, Pan Liu, Yuming Zhang

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Optimized Gradient Boosting Models for Adaptive Prediction of Uniaxial Compressive Strength in Carbonate Rocks Using Drilling Data by Stephen Adjei, Ahmed Gowida, Salaheldin Elkatatny, John Ojuu Oleka

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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

“…Seven machine learning algorithms for predicting affinity energy are analyzed and compared, with random forest demonstrating superior predictive accuracy. …”
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Revised renal stratification and progression models for predicting long-term renal outcomes in immunoglobulin light chain amyloidosis by Muhammad Umaid Rauf, Steven Law, Marisa Santostefano, Philip N. Hawkins, Aviva Petrie, Francesco Cappelli, Federico Perfetto, Yousuf Razvi, Aldostefano Porcari, Sriram Ravichandran, Adam Ioannou, Joshua Bomsztyk, Alessia Argirò, Costanza Gaudio, Elisabetta Antonioli, Alessandro Barilaro, Marco Delsante, Vittorio Di Maso, Maria G. Chiappini, Olabisi Ogunbiyi, Oliver C. Cohen, Ana Martinez-Naharro, Carol Whelan, Helen J. Lachmann, Ashutosh D. Wechalekar, Federico Alberici, Marianna Fontana, Marco Allinovi, Julian D. Gillmore

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