The Flexural Behavior of Reinforced Ultra-High Performance Engineering Cementitious Composite (UHP-ECC) Beams Fabricated with Polyethylene Fiber (Numerical and Analytical Study) by Ahmed M. Yassin, Mohamed Ahmed Hafez, Mohammad Mohie Eldin

“…This technique was validated using previous experimental results for UHP-ECC beams and found to be accurate and effective. The previous FE model was used to conduct a parametric study and the variables—the compressive strength of the concrete, the percentage of the volume content of polyethylene fibers, the tensile reinforcement ratio, and the span-to-depth ratio—were found to be effective upon the flexure behavior of the reinforced UHP-ECC beams. …”
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Compositional Causal Identification from Imperfect or Disturbing Observations by Isaac Friend, Aleks Kissinger, Robert W. Spekkens, Elie Wolfe

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Optimization of a new catalyst composition for trimerization of ethylene by Mohammad Javad Sharifi, Alireza Fazlali, Seyed Hamed Mahdaviani, Davood soudbar

“…The central composite design (CCD) model with three main parameters in three response levels for each factor was applied to analyze the effects of the parameters. …”
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Decomposing social groups differential in stunting among children under five in India using nationally representative sample data by Mriganka Dolui, Sanjit Sarkar

“…Descriptive statistics, multivariable logistic regression, F-test, t-test and chi-squared (χ²) test were applied to understand the prevalence, determinants, and associations, respectively. The Fairlie decomposition model was applied to quantify the factors contributing to the inequality of stunting across social groups. …”
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Multi-objective optimization of an open-pit mining system to determine safety buffer using the modified NBI method and the meta-model approach by Tahereh Khajvandsany, Hossein Amoozad Khalili, Ramezan Rezaeyan, Kourosh Nemati

“…The central composite design (CCD) method was used to develop the design of experiments (DOE) for the design variables. …”
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Modeling the relationship among the stock market, gold price, oil price and exchange rate: A VECM and VDA approach by Agrawal Pravin Kumar, Kumar Mohit

“…By employing a Vector Error Correction Model (VECM) and Variance Decomposition Analysis (VDA), the study explores both the short-term and long-term dynamics between these asset classes. …”
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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

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Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data by Jian Li, Junrui Kang, Ji Qi, Jian Lu, Hongkun Fu, Baoqi Liu, Xinglei Lin, Jiawei Zhao, Hengxu Guan, Jing Chang, Zhihan Liu

“…County-level yield data from 12 U.S. states were used, supplemented by multitemporal remote sensing datasets (MODIS surface reflectance, vegetation indices, and environmental variables). Empirical analyses showed that TransBiHGRU-PSO demonstrated improved estimation capability and generalizability compared to multiple benchmark models. …”
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An Artificial Intelligence-Based Approach With Photoplethysmogram and Heart Rate Variability for Sleep Bruxism Diagnosis by Omer Eris, Mehmet Recep Bozkurt, Seval Bulut Eris, Cahit Bilgin

“…The models were optimized and tested using unseen data. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. …”
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Hyperbolic extensions of constrained PDEs by Fernando Abalos, Oscar Reula, David Hilditch

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A novel theoretical approach to predict the interannual variability of sulfur in Mercury’s exosphere and subsurface by S. Verkercke, J. Y. Chaufray, F. Leblanc, A. Georgiou, M. S. Phillips, G. Munaretto, J. Lewis, A. Ricketts, L. Morrissey

“…Using a 3D exospheric global model with a Monte-Carlo test-particles approach and accounting for species diffusion in the first meter of Mercury’s regolith, this study aims to provide the first global prediction of the interannual variability of neutral sulfur density in both Mercury’s exosphere and subsurface. …”
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Evaluating drivers of spatio-temporal variability in fish fauna of Manasbal Lake of Kashmir Himalayas by Tabasum Yousuf, Saima Andrabi, Shaista Javaid, Sinan Nissar, Yahya Bakhtiyar

“…Significant associations between fish composition and abiotic factors were also determined by redundancy analysis (RDA). …”
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Marine organic aerosol at Mace Head: effects from phytoplankton and source region variability by E. Chevassus, K. N. Fossum, D. Ceburnis, L. Lei, C. Lin, C. Lin, W. Xu, W. Xu, C. O'Dowd, J. Ovadnevaite

“…Overall, these findings emphasize the need for longer-term investigations to further map the influence of phytoplankton taxa variability on aerosol composition and the broader impacts on aerosol–climate interactions.…”
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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

“…Addressing the spatial variability, temporal dynamics, and non-linearity characteristics of port water levels, a hybrid prediction scheme was proposed, which integrates empirical mode decomposition (EMD) with a radial basis function neural network (RBFNN), optimized using the particle swarm optimization (PSO) algorithm. …”
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Prediction of stress level in military submariners, based on physical conditioning and sleep quality variables by Maria Elisa Koppke Miranda, Pedro Moreira Tourinho, Guilhermo Brito Portugal, Ulisses Tirolo Taddei, Leonardo de-Souza Mendes Leal, Bruno Ferreira Viana, Priscila dos Santos Bunn, Rodrigo Gomes de Souza Vale

“… The objective of the study was to predict the level of stress in military submariners based on physical fitness and sleep quality variables. Cross-sectional and correlational research, with a sample of 40 male submariners (28.70±3.98 years old). …”
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Disentangling the effects of eutrophication and natural variability on macrobenthic communities across French coastal lagoons by Jones, Auriane G., Schaal, Gauthier, Boyé, Aurélien, Creemers, Marie, Derolez, Valérie, Desroy, Nicolas, Fiandrino, Annie, Mouton, Théophile L., Simier, Monique, Smith, Niamh, Ouisse, Vincent

“…Here, we analyze a dataset composed of macrobenthic invertebrate abundances and environmental variables (hydro-morphology, water, sediment and macrophytes) gathered across 29 Mediterranean coastal lagoons located in France, to characterize the main drivers of community composition and structure. …”
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Then and now: umbrella variables mask temporal mechanisms of structural racism in US urban environments by Victoria Fisher, Allison Boretsky, Nicole Alkhouri, Nadia N. Abuelezam

“…Racist urban development policies and capitalist municipal management have continued the cycle of poverty experienced by many in the US. Modeling this disadvantage often relies on composite, or ‘umbrella’, socioeconomic variables. …”
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Predicting piglet survival until weaning using birth weight and within-litter birth weight variation as easily measured proxy predictors by J.M. Mbuthia, C. Kasper, M. Zenk, G. Bee, C.C. Metges, G. Daş

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Stresses in Composite Shafts Subjected to Unbalance Excitation and Transmitted Torque by H. B. H. Gubran, S. P. Singh, K. Gupta

“…Shafts of uniform as well as variable wall thickness are considered. The shaft is modeled as a simply supported Timoshenko beam in which shear deformation, rotary inertia and gyroscopic effects have been included. …”
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