Development of a Statistical Model for Estimating Spatial and Temporal Ambient Ozone Patterns in the Sierra Nevada, California by Haiganoush K. Preisler, Michael J. Arbaugh, Andrzej Bytnerowicz, Susan L. Schilling

“…A generalized additive regression model was used to estimate spatial patterns and relationships between predicted ozone exposure and explanatory variables, and to predict exposure at nonmonitored sites. …”
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Neck circumference cutoff point as a predictor of metabolic syndrome in Brazilian rural workers. by Manoela Cassa Libardi, Cleodice Alves Martins, Júlia Rabelo Santos Ferreira, Glenda Blaser Petarli, Monica Cattafesta, Olívia Maria de Paula Alves Bezerra, Eliana Zandonade, Carlos Eduardo Gomes Siqueira, Luiz Carlos de Abreu, Jonathan Filippon, Luciane Bresciani Salaroli

“…Neck circumference (NC) is a predictive measure for the diagnosis of Metabolic Syndrome (MS). …”
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Semantic-enhanced panoptic scene graph generation through hybrid and axial attentions by Xinhe Kuang, Yuxin Che, Huiyan Han, Yimin Liu

“…This complexity tests the limits of current predictive models' ability to discern nuanced relationships within images. …”
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The same but different. Multidimensional assessment of depression in students of natural science and music by Michaela Korte, Deniz Cerci, Roman Wehry, Renee Timmers, Victoria J. Williamson

“…This study used a predictive design, observing the change in variables between groups as well as predicting which combinations of variables would likely determine depression prevalence. 102 under- and postgraduate students from various higher education institutions participated in an online survey. …”
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Mechanical Model for Shear Friction Capacity of Concrete at Construction Joints by Seung-Jun Kwon, Keun-Hyeok Yang, Ju-Hyun Mun

“…Code equations are highly conservative and dispersive in predicting the shear friction strength of rough construction joints and yield large scattering in the data for the ratios between the measured and predicted shear friction strengths. …”
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Maternal plasma urocortin level as a biomarker of preterm birth: a prospective cohort study in Sulaimaniyah city in Iraq by Sallama Kamel Nasir

“…Objective To evaluate the value of the urocortin (UCN) level to predict preterm delivery in women with threatened preterm labour. …”
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A metal-trap tests and refines blueprints to engineer cellular protein metalation with different elements by Sophie E. Clough, Tessa R. Young, Emma Tarrant, Andrew J. P. Scott, Peter T. Chivers, Arthur Glasfeld, Nigel J. Robinson

“…Differences between observed and predicted metal-MncA speciation are used to refine estimated metal availabilities. …”
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To Compare Serum Procalcitonin And CRP As Markers Of Neonatal Sepsis by Rafiq Ahmad, Israr Liaquat, Nadia Mumtaz, Sughra Zulfiqar, Sidra tul Muntaha, Nazia Rafique

“…The CRP test demonstrated a sensitivity of 85.42%, specificity of 81.82%, positive predictive value (PPV) of 91.11%, negative predictive value (NPV) of 72.00%, and diagnostic accuracy of 84.29% in predicting neonatal sepsis. …”
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Shear Strength of Internal Reinforced Concrete Beam-Column Joints: Intelligent Modeling Approach and Sensitivity Analysis by De-Cheng Feng, Bo Fu

“…In this paper, an intelligent modeling approach is presented to predict the shear strength of the internal reinforced concrete (RC) beam-column joints and used to analyze the sensitivity of the influence factors on the shear strength. …”
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Integration of bifurcation analysis and optimal control of a molecular network by Lakshmi N Sridhar

“…Bifurcation analysis and multiobjective nonlinear model predictive control (MNLMPC) of a molecular network problem represented by the Pettigrew model were performed. …”
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STUDY ON DUCTILE FRACTURE CRITERION PARAMETERS OF HIGH STRENGTH DUPLEX STEEL PLATE by MA ChunHui, ZHANG DianPing, GONG ZeFei, LIU XingFeng, SONG Hui, LI Di

“…The results show that the ductile fracture criterion can better predict the fracture failure of different advanced high strength steels.…”
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COMPARISON STUDY ON BEARING CAPACITY OF CIRCULAR AND DIAMOND HOLE LAMINATES UNDER SHEAR LOAD by GAO Wei, YAO XiongHua, ZHANG WenJun

“…The comparison with the experimental results shows that the model can effectively predict the bearing capacity and failure mode of laminate with hole.…”
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Modeling and Forecasting the Inflow of the Indus River Based on Multivariate Times Series Models by null Waleeja-Tur-Rabbia, Shreefa O. Hilali, Arslan Aslam, Rehab Alsultan, A. Y. Al-Rezami, Ijaz Hussain

“…However, the flow changes significantly at the seasonal variation of the year, so it is difficult to predict the flow because of its complex nature. The study aims to find a predictive model for forecasting the inflow of the Indus River. …”
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RTRS algorithm in low-power Internet of things by Yuchen CHEN, Yuan CAO, Laipeng ZHANG, Lianghui DING, Feng YANG

“…Considering the feature of periodical uplink data transmission in IEEE 802.11ah low-power wide area network (LWPAN),a real-time RAW setting (RTRS) algorithm was proposed.Multiple node send data to an access point (AP),and the uplink channel resources were divided into Beacon periods in time.During a Beacon period,AP firstly predicted the next data uploading time and the total amount of devices that will upload data in the next Beacon period.The AP calculated the optimal RAW parameters for minimum energy cost and broadcasted the information to all node.Then all devices upload data according to the RAW scheduling.The simulation results show that the current network state can be predicted accurately according to the upload time of the terminal in the last period.According to the predicted state,raw configuration parameters can be dynamically adjusted and the energy efficiency can be significantly improved.…”
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On the Investigation of Effective Factors on Electronic Structure Properties of Transition Metal Complexes: Robust Modeling Using GPR Approach by Jianjun Wang, Mohammad Mahdi Molla Jafari

“…Artificial intelligence (AI) helped accurately predict the target values through various input ranges.…”
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An evaluation of dynamic outlet boundary conditions in a 1D fluid dynamics model by Rachel Clipp, Brooke Steele

“…The dynamic boundary condition was successfully implemented and the pressure and flow were predicted for an entire respiration cycle. The cardiac cycles at maximal expiration and inspiration were predicted with a root mean square error of $0.61$ and $0.59$ mm Hg, respectively.…”
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Final and peak epidemic sizes for SEIR models with quarantine and isolation by Z. Feng

“…Previous studieshave suggested (based on numerical observations) that a gammadistribution model (GDM) tends to predict a larger epidemic peakvalue and shorter duration than an exponential distribution model(EDM). …”
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Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined? by N. Besic, N. Picard, C. Vega, J.-D. Bontemps, L. Hertzog, J.-P. Renaud, J.-P. Renaud, F. Fogel, M. Schwartz, A. Pellissier-Tanon, G. Destouet, F. Mortier, F. Mortier, M. Planells-Rodriguez, P. Ciais

“…This article seeks to endorse the latter by utilizing the Bayesian model averaging approach to diagnose and interpret the differences between predictions from different models. The predictions in our case are forest canopy height estimations for metropolitan France arising from five different models. …”
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Unveiling Silent Atherosclerosis in Type 1 Diabetes: The Role of Glycoprotein and Lipoprotein Lipidomics, and Cardiac Autonomic Neuropathy by Sara de Lope Quiñones, Manuel Luque-Ramírez, Antonio Carlos Michael Fernández, Alejandra Quintero Tobar, Jhonatan Quiñones-Silva, María Ángeles Martínez García, María Insenser Nieto, Beatriz Dorado Avendaño, Héctor F. Escobar-Morreale, Lía Nattero-Chávez

“…<b>Introduction:</b> This study aimed to evaluate whether glycoprotein and lipoprotein lipidomics profiles could enhance a clinical predictive model for carotid subclinical atherosclerosis in patients with type 1 diabetes (T1D). …”
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Prognostication in emergency room patients: comparing ultrasensitive and contemporary quantification of cardiac troponin levels below the 99th percentile by Anna Carrasquer, Anna Carrasquer, Anna Carrasquer, Germán Cediel, Germán Cediel, Germán Cediel, Alma Gómez-Sanz, Alma Gómez-Sanz, Óscar M. Peiró, Óscar M. Peiró, Óscar M. Peiró, Isabel Fort-Gallifa, Isabel Fort-Gallifa, Isabel Fort-Gallifa, Alfredo Bardaji, Alfredo Bardaji, Alfredo Bardaji, Jose Luis Ferreiro, Jose Luis Ferreiro, Jose Luis Ferreiro

“…IntroductionCardiac troponin levels below the 99th percentile improve the predictive efficacy for cardiovascular events when associated with relevant clinical variables. …”
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