A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

“…This study presents an innovative methodology that synergistically combines Proper Orthogonal Decomposition and Radial Basis Function interpolation for predicting structural responses based on crack parameters. …”
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Prediction of Thermal Conductivity of a Rock Wool Board by Computer X-Ray Tomography Technique Scanning and Random Generation-Growth Model by Xiaoguang Li, Rui Zhang, Diya Zhang, Xin Fan, Meiqi Guo, Jinyi Qin

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Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm by Juntao Chen, Mingjin Fan

“…To improve the accuracy of mine water prediction, this paper proposes the VMD-iCHOA-GRU mine water prediction model by selecting and improving it according to the previous research results in decomposition method, time series prediction model and optimization algorithm. …”
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Comparison of the CAMI-NSTEMI and GRACE Risk Model for Predicting In-Hospital Mortality in Chinese Non-ST-Segment Elevation Myocardial Infarction Patients by Peng Wang, Hongliang Cong, Ying Zhang, Yujie Liu

“…For each patient, the predicted mortality was calculated according to GRM and CRM, respectively. …”
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Does an increase in physiological indexes predict better cognitive performance: the PhyCog randomised cross-over protocol in type 2 diabetes by Frederic Dutheil, Guillaume T Vallet, Igor Tauveron, Julien S Baker, Valentin Magnon, Jordan Mille, Valentin Brusseau, Laetitia Silvert, Marie Izaute

“…This study’s primary aim was to examine if improved physiological indexes predict improved cognitive variables in the context of a clinical intervention programme for type 2 diabetes (T2D).Method and analysis PhyCog will be a 22-week randomised controlled trial comparing cognitive performance between three arms: (1) physical activity (1 month), a 15-day wash-out, then cognitive training (1 month), (2) cognitive training (1 month), a 15-day wash-out and physical activity (1 month), and (3) an active breathing condition (psychoeducation and resonance frequency breathing for 1 month), then a 15-day wash-out, and combined physical activity and cognitive training (1 month), allowing to determine the most effective intervention to prevent cognitive impairment associated with T2D. …”
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Comparative evaluation of several toric intraocular lens calculators for predicting postoperative refractive astigmatism in cataract surgery: a real-world study by Haocheng Xian, Bingzhen Li, Ziyao Xia, Chun Zhang, Xuemin Li

“…Six toric IOL calculators were evaluated: Barrett toric calculator (with predicted PCA, measured PCA, and TK), Kane formula (predicted PCA), and EVO 2.0 formula (predicted and measured PCA). …”
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Obesity Index That Better Predict Metabolic Syndrome: Body Mass Index, Waist Circumference, Waist Hip Ratio, or Waist Height Ratio by Abdulbari Bener, Mohammad T. Yousafzai, Sarah Darwish, Abdulla O. A. A. Al-Hamaq, Eman A. Nasralla, Mohammad Abdul-Ghani

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Response Surface Methodology Approach to Predict the Flexural Moment of Ferrocement Composites with Weld Mesh and Steel Slag as Partial Replacement for Fine Aggregate by Jayaprakash Sridhar, Ganesh Bhausaheb Shinde, D Vivek, Khalida Naseem, Piyush Gaur, Pravin P Patil, Misganaw Tesfaye Tesema

“…From the analysis of variance, it is evident that the p value is less than 0.005, the predicted R2 and the adjustable R2 are less than 20%, and the predicted values go in hand with the experimental result which indicates that the proposed models are highly suitable. …”
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A Novel CGM Metric-Gradient and Combining Mean Sensor Glucose Enable to Improve the Prediction of Nocturnal Hypoglycemic Events in Patients with Diabetes by Jingzhen Li, Xiaojing Ma, Igbe Tobore, Yuhang Liu, Abhishek Kandwal, Lei Wang, Jingyi Lu, Wei Lu, Yuqian Bao, Jian Zhou, Zedong Nie

“…Specifically, the specificity and sensitivity were greater than 96.07% and 96.03% at the prediction horizon of 15 minutes and greater than 87.79% and 90.07% at the prediction horizon of 30 minutes when the proposed method was adopted to predict nocturnal hypoglycemic events in the aforementioned four algorithms. …”
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A Simplified Finite Control Set Model Predictive Control for T-Type Three-Level Power Conversion System Based on LCL Filter by Ning Gao, Huaiyu Fan, Weimin Wu

“…Finite control set model predictive control (FCSMPC) is a highly attractive and potential control method for grid-tied converters. …”
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"Predicting the Movement of Stock Prices Using Technical Analysis Indicators": Applied Research in a Sample of the Shares of Iraqi Private Commercial Banks by Asaad Gheni Jihad, Ahmed Muqdad Ismael

“… The research aims to identify technical analysis indicators (simple moving average، relative strength index، estimation index)، and their impact on predicting the movement of stock prices for Iraqi private commercial banks، by examining the methods used in technical analysis and its various models, in general, and its indicators in particular. …”
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Enhanced preoperative prediction of breast lesion pathology, prognostic biomarkers, and molecular subtypes using multiple models diffusion-weighted MR imaging by Litong He, Feng Li, Yanjin Qin, Yuling Li, Qilan Hu, Zhiqiang Liu, Yunfei Zhang, Tao Ai

“…Abstract This study aims to comprehensively evaluate the clinical utility of five diffusion models, including conventional mono-exponential (Mono), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), stretched exponential (SEM), and continuous-time random-walk (CTRW), for preoperatively predicting of breast lesion pathology, prognostic biomarkers, and molecular subtypes. …”
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Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity by Bita Ghasemkhani, Kadriye Filiz Balbal, Kokten Ulas Birant, Derya Birant

Subjects: “…traffic accident severity prediction…”
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High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer by Han Liu, Chun‑Jie Hou, Min Wei, Ke‑Feng Lu, Ying Liu, Pei Du, Li‑Tao Sun, Jing‑Lan Tang

“…Area under the curve (AUC) values were calculated for all models to assess their validity, and predictive model nomograms were created by integrating clinical features. …”
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Deriving and validating a risk prediction model for long COVID-19: protocol for an observational cohort study using linked Scottish data by Jennifer K Quint, Aziz Sheikh, Chris Robertson, Srinivasa Vittal Katikireddi, Emily Moore, Colin R Simpson, Luke Daines, Eleftheria Vasileiou, Syed Ahmar Shah, Rachel H Mulholland, Vicky Hammersley, Steven Kerr, Ting Shi, David Weatherill, Elisa Pesenti

“…In this protocol, we describe plans to develop a prediction model to identify individuals at risk of developing long-COVID.Methods and analysis We will use the national Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) platform, a population-level linked dataset of routine electronic healthcare data from 5.4 million individuals in Scotland. …”
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Predicting Exposure to Dust Particles Using Spirometric Index and Perception Studies among Farmers in Selected Farm Settlements in Ogun State, Nigeria by Funmilola Felicia Oyebanji, Godson Rowland E. E. Ana, Yahaya Mijinyawa, Olusola Olabisi Ogunseye

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Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study by Fumin Xu, Xiao Chen, Chenwenya Li, Jing Liu, Qiu Qiu, Mi He, Jingjing Xiao, Zhihui Liu, Bingjun Ji, Dongfeng Chen, Kaijun Liu

“…This study is aimed to use machine learning to predict the risk of MOF in the course of disease. …”
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Neovascular age-related macular degeneration: disease pathogenesis and current state of molecular biomarkers predicting treatment response—a scoping review by Nikolaos Dervenis, Eleftherios Agorogiannis, Panagiotis Dervenis

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Validation of a delirium predictive model in patients admitted to surgical intensive care units: a multicentre prospective observational cohort study by Kaweesak Chittawatanarat, Onuma Chaiwat, Sirirat Mueankwan, Sunthiti Morakul, Pitchaya Dilokpattanamongkol, Chayanan Thanakiattiwibun, Arunotai Siriussawakul

“…Validation was performed of the previously developed delirium predictive model: age+(5×SOFA)+(15×benzodiazepine use)+(20×DM)+(20×mechanical ventilation)+(20×modified IQCODE>3.42).Results In all, 380 SICU patients were recruited. …”
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Early life stress, kangaroo care, parenting behavior and secure attachment predict executive functioning in 2 year olds born preterm by Bieke Bollen, Astrid Van den Brande, Chiara Bernagie, Alexandra Seghers, Steffie Amelynck, Christine Vanhole, Bart Boets, Gunnar Naulaers, Guy Bosmans, Els Ortibus

“…Low birth weight, a high number of skin breaking procedures and high level of maternal stress predicted lower executive function scores. Kangaroo care, non-intrusive maternal parenting behavior and secure attachment were associated with higher executive function scores. …”
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