Assessing soil quality in association with frozen ground in the source areas of the Yangtze and Yellow Rivers, Qinghai-Tibet Plateau by Shizhen Li, Dongliang Luo, Jinniu Wang, Yanqiang Wei, Ziqiang Yuan

“…The regional average SQI in the SAYYR was 0.44, indicating moderate soil quality. Diagnostic modeling identified TN as the primary constraint on soil quality in the SAYYR, with an average obstacle rate of 22.4%. …”
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Drag Coefficient Constraints for Space Weather Observations in the Upper Thermosphere by Valerie Bernstein, Marcin Pilinski

“…Abstract The space weather research community relies heavily on thermospheric density data to understand long‐term thermospheric variability, construct assimilative, empirical, and semiempirical global atmospheric models and validate model performance. …”
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AN ANALYSIS OF THE DYNAMICS OF INVESTMENT SAVING AND ECONOMIC GROWTH IN TURKEY: 1950-2004 by Ercan Sarıdoğan, Sefer Şener, Deniz Şükrüoğlu

“…The methodology we applied depends on the time series econometric techniques which include analyzing the stationarity of the variables, cointegration, vector error correction mechanism, and Granger causality and vector auto regressive models with impulse-response and variance decomposition techniques. …”
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Allometric Equations for Aboveground Biomass Estimation in Natural Forest Trees: Generalized or Species-Specific? by Yuxin Shang, Yutong Xia, Xiaodie Ran, Xiao Zheng, Hui Ding, Yanming Fang

“…Key findings resolve the following hypotheses: (1) absence of strong phylogenetic signals validates generalized models for phylogenetically diverse communities; (2) ontogenetic regulation dominates error magnitude, particularly in early developmental stages; (3) differential modeling is recommended: species-specific equations for pure forests/seedlings vs. generalized equations for mixed mature forests. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…Comparative experiments are conducted among the proposed model, the long short-term memory model, as well as the variational mode decomposition model. …”
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Evaluation of O₃, H₂O, CO, and NO_<i>y</i> climatologies simulated by four global models in the upper troposphere–lower stratosphere with IAGOS meas... by Y. Cohen, Y. Cohen, D. Hauglustaine, N. Bellouin, N. Bellouin, M. T. Lund, S. Matthes, A. Skowron, R. Thor, U. Bundke, A. Petzold, A. Petzold, S. Rohs, V. Thouret, A. Zahn, H. Ziereis

“…<p>Assessing global models in the upper troposphere (UT) and in the lowermost stratosphere (LS) is an important step toward a better understanding of the chemical composition near the tropopause. …”
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Ensemble machine learning for predicting academic performance in STEM education by Aklilu Mandefro Messele

“…The model's effectiveness was assessed through metrics like accuracy, precision, recall, and F1 score. …”
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Satellite-Based Prediction of Water Turbidity Using Surface Reflectance and Field Spectral Data in a Dynamic Tropical Lake by Elsa Pereyra-Laguna, Valeria Ojeda-Castillo, Enrique J. Herrera-López, Jorge del Real-Olvera, Leonel Hernández-Mena, Ramiro Vallejo-Rodríguez, Jesús Díaz

“…Based on the relationship between near-infrared reflectance and field turbidity, second-order polynomial models were developed for spring, fall, and the composite annual model. …”
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A Novel Phantom for Standardized Microcalcification Detection Developed Using a Crystalline Growth System by Dee H. Wu, Caroline Preskitt, Natalie Stratemeier, Hunter Lau, Sreeja Ponnam, Supriya Koya

“…The goal of these models was to achieve consistent evaluations, thereby reducing the variability between different scanners. …”
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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…Analysis of variance revealed that the Ca:S ratio had the most significant influence on SO₂ absorption. A quadratic model correlating the process variables with desulfurization efficiency was developed, yielding an R-squared value of 93.47%. …”
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Predictive Modelling of H2S Removal from Biogas Generated from Palm Oil Mill Effluent (POME) Using a Biological Scrubber in an Industrial Biogas Plant: Integration of Artificial Ne... by Joanna Lisa Clifford, Yi Jing Chan, Mohd Amran Bin Mohd Yusof, Timm Joyce Tiong, Siew Shee Lim, Chai Siah Lee, Woei-Yenn Tong

“…Biogas production from palm oil mill effluent (POME) is inherently unstable due to variations in feedstock composition and operating conditions. These fluctuations can lead to inconsistent biogas quality, variable methane content and fluctuating hydrogen sulphide (H2S) concentration. …”
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Drift Drives Foraminiferal Community Assembly on a Carbonate Platform by Tao Li, Bo Li, Ziya Lin, Wei Xie, Chupeng Yang

“…We evaluated the effects of environmental variables on the community composition and the co‐occurrence network, revealing that the former was affected only by organic carbon, whereas the latter was affected by both organic carbon and pH. …”
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Insights on electric vehicle adoption: Does attitude play a mediating role? by Imran Ali, Mohammad Naushad

“…This study considered one dependent variable (electric vehicle adoption) and one mediating variable (attitude) along with five independent variables. …”
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Don’t go chasing waterfalls: Multiple factor prediction of injuries in a performance context by Melanie I. Stuckey, Dean Kriellaars

“…This study analyzed demographic, sleep, fatigue, body composition, symmetry/proportionality, and psychological data from a cohort of circus arts students to predict injury presence and duration using regression models. …”
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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

“…However, these technologies face challenges and exhibit reduced performances due to signal noise, inter-subject variability, and real-time processing demands. Thus, to overcome these limitations a novel model is presented in this research work for motor imagery (MI) EEG signal classification. …”
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Anatomical Characteristics Predict Response to Transcranial Direct Current Stimulation (tDCS): Development of a Computational Pipeline for Optimizing tDCS Protocols by Giulia Caiani, Emma Chiaramello, Marta Parazzini, Eleonora Arrigoni, Leonor J. Romero Lauro, Alberto Pisoni, Serena Fiocchi

“…A computational approach was used to map the electric field distribution over the brain tissues of realistic head models reconstructed from MRI images of twenty-three subjects, including adults and children of both genders. …”
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Water footprint management in textile industry through Acid Blue 113 remediation using halloysite nanoclay as a sustainable adsorbent by Mohammed A. H. Dhaif Allah, Syed Noeman Taqui, Usman Taqui Syed, Syida Aameera Yakuth, Razia Sulthana, Rayees Afzal Mir, Akheel Ahmed Syed, Shareefraza J. Ukkund, Majed Alsubih, Saiful Islam, Wahaj Ahmad Khan

“…Four two-parameter and six three-parameter isotherm models were used to analyze equilibrium data. The pseudo-first-order and pseudo-second-order models were applied in our adsorption kinetic investigations. …”
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Habitat Characteristics and the Species Response of Astragalus curvirostris Boiss. to the Environmental Factors in Lorestan Rangelands by Reza Siahmansour, Nadia Kamali, Hamid Reza Mirdavoodi, Javad Motamedi

“…The generalized additive model is a simple method for investigating species' reactions to environmental variables, and the results can be easily interpreted. …”
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Geoelectrical Characterization of Sedimentary Landslides in the Laguna Del Amor Area, Chota-Cajamarca (Peru) by Arturo Zevallos, Julio Torres, Cristian Segura, Javier Carrasco, Pedro Carrasco

“…The main objective was to identify key static factors related to landslide susceptibility, including slope angle, soil composition, and groundwater flow, prioritizing the areas affected by landslides. …”
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Three-dimensional dynamics of mesothelin-targeted CAR.CIK lymphocytes against ovarian cancer peritoneal carcinomatosis by Federica Galvagno, Valeria Leuci, Annamaria Massa, Chiara Donini, Ramona Rotolo, Sonia Capellero, Alessia Proment, Letizia Vitali, Andrea Maria Lombardi, Valentina Tuninetti, Lorenzo D’Ambrosio, Alessandra Merlini, Elisa Vigna, Giorgio Valabrega, Luca Primo, Alberto Puliafito, Dario Sangiolo

“…Therefore, a comprehensive experimental model is crucial to optimize CAR-cell therapies in such a peculiar environment. …”
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