Phase field modeling for fracture prediction in goat tibia using an open-source quantitative computer tomography based finite element framework by Debangshu Paul, Zachariah Arwood, Pierre-Yves Mulon, Dayakar Penumadu, Timothy Truster

“…Given that mechanical properties and structural form of goat tibiae closely mimic those of human tibiae, they can serve as excellent models for comparative orthopedic research. While existing literature on goat bone research offers rich in vivo models, it lacks a validated FE model of the tibia subjected to thorough spatial error assessment. …”
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Measuring the Constructs of Sense of Place in Historical Area; A Review on Bazaar Neighborhood in Kermanshah by Mojtaba Lorzangeneh, Mohammad Masoud, Arezou Jamshidi Sheikhi Abadi

“…In order to measure the constructs of sense of place in the Bazaar neighborhood, which is located in the historical core and center of Kermanshah, the sample size was estimated to be 362 people using Cochran's formula and accounting for the error of 0.05. The structural equation model has been utilized to measure the research's dependent variables. …”
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Computational methods and technical means of processing signals of side electromagnetic emanation by Danil A. Shinyaev, Leonid N. Kessarinskiy, Egor A. Simakhin

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Estimation of the yield and green water footprint of rainfed wheat based on remote sensing and machine learning by Mojgan Ahmadi, Hadi Ramezani Etedali, Abbass Kaviani, Alireza Tavakoli

“…Results showed that in the simulation of the yield of rainfed wheat, the RF method had a high correlation, NSE was close to one, and root mean square error (RMSE) was less than 0.2 (ton/ha) and had good accuracy. …”
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Deep learning approach to the estimation of the ratio of reproductive modes in a partially clonal population by T. A. Nikolaeva, A. A. Poroshina, D. Yu. Sherbakov

“…When the training dataset’s dimensionality aligns with the actual data, the model converges to the minimum error much faster, highlighting the significance of dataset design in predictive performance. …”
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Global Simulation of the Solar Wind: A Comparison with Parker Solar Probe Observations during 2018–2022 by Chin-Chun Wu, Kan Liou, Brian E. Wood, Y. M. Wang

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Spatial–Temporal Characteristics and Influencing Factors of Carbon Emission Performance: A Comparative Analysis Between Provincial and Prefectural Levels from Global and Local Pers... by Yi-Xin Zhang, Yi-Shan Zhang

“…To support China’s “3060” dual carbon targets, this study quantitatively evaluates the spatial–temporal characteristics and influencing factors of carbon emission performance (CEP) across administrative levels. While prior research has examined CEP patterns, a systematic comparison of factor contributions at different levels—particularly from global and local perspectives—is lacking. …”
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The Structure of Rhythm in Prose Poetry: The Experience of Ammar Al-Masoudi in "Brown Summer" (A Model) by Dr.Jameel Sahib Jaleel

“…Through this, we will not come with preconceived judgments, but our reading will be subject to the specifics of the read experiences, which this research aims to achieve. …”
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Machine Learning-Driven QoT Prediction for Enhanced Optical Networks in DWDM System by Sudha Sakthivel, Mohammad Riyaz Belgaum, Aznida Abu Bakar Sajak, Muhammad Mansoor Alam, Mazliham Mohd Su'ud

“…This research demonstrated the machine learning (ML) classifiers with regression learning to improve an optical system’s quality of transmission (QoT). …”
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The predictive embodied mind: a case-based encounter with film aesthetics by Maarten Coëgnarts, Maarten Coëgnarts, Maarten Coëgnarts

“…PP conceptualizes the mind as a predictive machine that minimizes error by actively anticipating sensory input through probabilistic computations. …”
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Self-esteem and stress: a structural equation modelling of biosocial determinants, psychological mediators and anxiety among Malaysian undergraduates by Muhammad Ikhwan Mud Shukri, Anisah Baharom, Ahmad Iqmer Nashriq Mohd Nazan

“…After excluding 68 potential outliers, the final structural equation model demonstrated satisfactory goodness of fit (root mean square error of approximation (RMSEA) = 0.041, χ2/df = 2.918, and comparative fit index (CFI) = 0.925). …”
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Estimation of cardinal temperatures of Lepyrodiclis holosteoides using regression models by R. Deihimfard, Sh. Nazari, Y. Qorani

“…Some statistical estimators like Root Mean Squared of Error (RMSE), Akaike Information Criterion (AIC) and coefficient of determination (R2) were used to evaluate goodness of fit for different regression models. …”
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Dynamic soil water retention properties: Exploring the interplay of moisture states and soil structure dynamics in a compacted Andosol by Sebastián Bravo Peña, Loes vanSchaik, José Dörner, Jos vanDam

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Multivariate predictive modeling of compressive strength in ground granulated blast furnace slag/fly ash-based alkali-activated concrete by Dina A. Emarah

“…The ANN model, with its ability to handle non-linear interactions, significantly outperformed traditional methods, achieving the highest Coefficient of Determination (R2 = 0.96) and the lowest Root Mean Squared Error (RMSE = 2.82 MPa). Moreover, this study introduces a sensitivity comparison that was carried out for the ANN model to discover and analyze the most critical input parameter that influences the CS of AAC. …”
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The impostor phenomenon among surgeons and surgeons in training: a scoping review by Chunlan Jin, Jian Ling, Zuhuan Xu, Tao Lin, Weiqin Chen

“…Abstract Background The impostor phenomenon (IP), is a condition in which people think they are incapable of success and tend to attribute their success to external causes such as luck, error, or knowing the appropriate individuals. It has been confirmed as a contributor to burnout for practicing physicians, residents, and medical students. …”
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Colossal permittivity and humidity sensing properties of CaCu3Ti4O12 ceramics derived from cockle shell CaCO3 via CO2 absorption by Kaniknun Sreejivungsa, Suppanat Kosolwattana, Morakot Sakulsombat, Prasit Thongbai

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A novel hybrid approach for predicting and optimizing the adsorption of methyl orange and Cr(VI) removal from aqueous solutions using fungal-cross linked chitosan integrated into g... by Mohammed T. M. H. Hamad

“…The artificial neural networks model demonstrated a high coefficient of determination (R2 = 0.9996) and a low mean squared error (0.025), indicating its robustness in simulating the MO removal process under various conditions. …”
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Critical values for six Dixon tests for outliers in normal samples up to sizes 100, and applications in science and engineering by Surendra P. Verma, Alfredo Quiroz-Ruiz

“… In this paper we report the simulation procedure along with new, precise, and accurate critical values or percentage points (with 4 decimal places; standard error of the mean ≤0.0001) for six Dixon discordance tests with significance levels α = 0.30, 0.20, 0.10, 0.05, 0.02, 0.01, 0.005 and for normal samples of sizes n up to 100. …”
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Photonics-based modular multistate digital coherent system by I. V. Unchenko, A. A. Emelyanov

“…Calculations of the introduced phase error of a quartz singlemode fiber and graphs of the dependence of the change in the signal phase on external influencing factors are given. …”
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Predictors of Static Postural Loading in Primary-School-Aged Children: Comparing Elastic Net and Multiple Regression Methods by Mohammad Ali Mohseni Bandpei, Reza Osqueizadeh, Hamidreza Goudarzi, Nahid Rahmani, Abbas Ebadi

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