Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning by DU Boheng, ZHANG Jingwen, KANG Zheng, CHEN Yifan, HUANG Hanliang, LIN Kairong, XIAO Mingzhong

“…This study aims to further investigate the influence of various factors, including estuary tide level, wind direction and speed, and upstream water flow, on the saltwater intrusion (chlorinity in the estuary) in the Pearl River estuary, providing scientific support for improving water supply security in coastal cities. The study determines the lag time of different influencing factors on saltwater intrusion through correlation coefficients and constructs prediction models for the chloride content at the estuaries of the Guangchang and Pinggang water pumping stations based on various machine learning methods to analyze the saltwater intrusion in the Modaomen waterway of the Pearl River estuary. …”
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Patient-Reported Outcome Scores Are Comparable When Administered at Home or in Clinic Following Hip Preservation Surgery by Bill Garrett Bodine, M.D., Ashley L. Kapron, Ph.D., Benjamin T. Johnson, B.S., Travis G. Maak, M.D., Justin J. Ernat, M.D., Stephen K. Aoki, M.D.

“…Mixed-effects multivariable linear regression analysis, including order of completion as a covariate (i.e., home or clinic first), was used to determine differences in home and clinic scores. Intraclass correlation coefficients were calculated to evaluate reliability. …”
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Elder abuse among older persons in a local government area in southwest Nigeria: A cross-sectional study by Oladele Ademola Atoyebi, Eyitayo Ebenezer Emmanuel, Tope Michael Ipinnimo, David Sylvanus Ekpo, Kehinde Hassan Agunbiade, Taofeek Adedayo Sanni, Olufunmilayo Elizabeth Atoyebi, Paul Oladapo Ajayi

“…A correlational matrix was constructed using Pearson correlational coefficients to determine the association between the various sociodemographic characteristics and abuse. …”
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Reliability and Validity of the Functional Movement Screen™ with a Modified Scoring System for Young Adults with Low Back Pain by Khalid Alkhathami, Yousef Alshehre, Sharon Wang-Price, Kelli Brizzolara

“…The video-recorded performance also was scored twice six weeks apart by the same investigator to determine intra-rater reliability. # Results The results showed excellent inter-rater and intra-rater reliability of the FMS™ composite score with intraclass correlation coefficients ranging from 0.93 to 0.99 for both groups. …”
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ANALYTICAL MODEL OF NOISE STABILITY CALCULATION OF SYSTEMS WITH MULTIPOSITIONAL MODULATION AND CODING BY REED-SOLOMON ALGORITHM by E. B. Lipkovich, V. A. Kovshik, A. A. Serchenya

“…In contrast to the well-known approaches to determining the noise immunity of systems that require computation model, new estimating models are presented that do not require knowledge of the spectrum coefficients, computer simulation training methods and graphical construction of interference curves for various types of modulation and coding parameters. …”
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Prediction of Compressive Strength by Considering Practical Consideration Non-destructive Test by Artificial Neural Network by Priyesh GANGELE, Arun Kumar PATEL

“…The prediction results show that the coefficients of determination (R2) of the Regression analysis and the CFBPNN prediction models for the test set of concrete compressive strength are 95% and 99% respectively ANN model founded to be more accurate as compare to regression analysis. …”
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In Vitro Biofilm Formation on Aryl Ketone Polymer (AKP), A New Denture Material, Compared with That on Three Traditional Dental Denture Materials by Cadie Martin, Laura Purevdorj-Gage, Wei Li, Timothy J. Shary, Bin Yang, Ryan J. Murphy, Christine D. Wu

“…Confocal microscopy of the 24-hour Streptococcus spp. biofilms was used to determine biofilm mass and roughness coefficients. …”
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Do mental wellbeing and emotional eating influence BMI similarly or differently? Evidence from a sample of Peruvian adolescents by Keisler Cuyan-Zumaeta, David Javier-Aliaga, Mery Rodríguez-Vásquez, Jacksaint Saintila

“…Therefore, the aim of this study was to determine the predictive role of mental wellbeing and emotional eating on body mass index (BMI) in Peruvian adolescents.MethodsThis research used a non-experimental and predictive design. …”
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Reliability and validity of the transport and physical activity questionnaire (TPAQ) for assessing physical activity behaviour. by Emma J Adams, Mary Goad, Shannon Sahlqvist, Fiona C Bull, Ashley R Cooper, David Ogilvie, iConnect Consortium

“…The Bland-Altman technique was used to determine the absolute validity of survey-reported time spent in moderate-to-vigorous physical activity (MVPA).…”
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Comprehensive validation of a custom three-point bending system for standardized diabetic fracture models in rats by Qidong Guo, Weijie Wang, Zheng Guo

“…Statistical analysis revealed significantly lower coefficients of variation for healing parameters in this study compared to previously published models (p < 0.05). …”
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Representing Matroids over the Reals is $\exists \mathbb R$-complete by Eun Jung Kim, Arnaud de Mesmay, Tillmann Miltzow

“…The complexity class $\exists \mathbb R$ can be defined as the family of algorithmic problems that is polynomial-time is equivalent to determining if a multivariate polynomial with integers coefficients has a real root. …”
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Transference of metals in the soil‐food chain system:   of Caspian Sea sturgeons by V. A. Chaplygin, T. S. Ershova, V. F. Zaitsev

“…Identification of metal transference characteristics in components of the ecosystem of the north‐western part of the Caspian Sea.   Material and Methods. Sampling was carried out according to generally accepted  methods and the determination of heavy metals was carried out by atomic absorption spectroscopy using an atomic absorption spectrometer with electro‐thermal  atomization MGA‐915 MD.   …”
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QUANTIFICATION OF HYDRAULIC CHARACTERISTICS OF SWELLING MATERIAL by Boris Kavur, Jasmin Jug, Biljana Kovačević Zelić, Ivan Vrkljan

“…This paper presents a laboratory and numerical study to determine three hydraulic characteristic curves of a swelling material (soil or rock) in which montmorillonite is the predominant type of mineral. …”
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Prediction of the Spatial Distribution of Petrophysical Properties of Sediment Formations Using Multidimensional Splines by V. V. Lapkovsky, V. A. Kontorovich, K. I. Kanakova, S. E. Ponomareva, B. V. Lunev

“…Comparing the obtained forecast with the real, unknown values of the modeled variable at the time of its implementation showed a high quality model with determination coefficients up to 0.9.…”
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Effect of the Independent Acid Base Variables on Anion Gap Variation in Cardiac Surgical Patients: A Stewart-Figge Approach by Michalis Agrafiotis, Ilias Keklikoglou, Sofia Papoti, George Diminikos, Konstantinos Diplaris, Vassileios Michaelidis

“…According to the standardized coefficients (β),  SIGvar (β = 0.948, P<0.001), [Albumin]var (β = 0.260, P<0.001), and [Phosphate]var (β = 0.191, P<0.001) were the major determinants of AGvar with lesser contributions from SIDa, var (β = 0.071, P<0.001) and PCO2, var (β = −0.067, P<0.001). …”
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A mathematical model of the gravitational potential of the planet taking into account tidal deformations by А. V. Shatina, A. S. Borets

“…Traditionally, a solid body model is used to determine the Earth’s gravitational field, while tidal deformations are taken into account in the form of small corrections to the coefficients of the geopotential model. …”
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The relationship between athletes’ grit, mental toughness, and sport resilience by Bengie Mendizabal

“…Furthermore, the R² = .324 indicates that the model accounts for 32.4% of the variance in sports resilience. The coefficients were also regressed to determine the direct influence of each independent variable. …”
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Near-Infrared Spectroscopy and Machine Learning for Fast Quality Prediction of Bottle Gourd by Xiao Guo, Hongyu Huang, Haiyan Wang, Chang Cai, Ying Wang, Xiaohua Wu, Jian Wang, Baogen Wang, Biao Zhu, Yun Xiang

“…Among them, ridge regression achieved the optimal performance, with determination coefficients (R²) of 0.96 and 0.77 on the protein and FAAs test sets, respectively, and root mean square error (RMSE) values of 0.23 and 0.5, respectively. …”
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Feasibility of occlusal plane in predicting the changes in anteroposterior mandibular position: a comprehensive analysis using deep learning-based three-dimensional models by Bingran Du, Kaichen Li, Zhiling Shen, Yihang Cheng, Jiayan Yu, Yaopeng Pan, Ziyan Huang, Fei Hu, Xiaohui Rausch-Fan, Yuanpeng Zhu, Xueyang Zhang

“…The improved functional OP (IFOP) inclination could distinguish different skeletal classification determinations (AUC Class I VS Class II = 0.693, AUC Class I VS Class III = 0.763, AUC Class II VS Class III = 0.899, all P values < 0.01) and the AUC value in skeletal Classes II and III determination was statistically higher than the inclinations of other OPs (all P values < 0.01). …”
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Potential of Nonlinear Ultrasonic Indicators for Nondestructive Testing of Concrete by C. Payan, V. Garnier, J. Moysan

“…In the context of stress monitoring in pre-stressed structures, we show that intense scattering can be applied to robustly determine velocity changes at progressively increasing applied stress using coda wave interferometry and thereby extract nonlinear coefficients. …”
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