Attachment style, thought suppression, self-compassion and depression: Testing a serial mediation model. by Clara V Murray, Juno Irma-Louise Jacobs, Adam J Rock, Gavin I Clark

“…A second, post-hoc serial mediation model was tested (Model B), with the only difference being that attachment anxiety replaced attachment avoidance as the independent variable. …”
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Modelling Energy Demands of Cross-Country Tests in 2-Star to 5-Star Eventing Competitions by Anna M. Liedtke, Hans Meijer, Stephanie Horstmann, Caroline von Reitzenstein, Insa Rump, Katharina Kirsch

“…This study presents a composite model to estimate energy expenditure during the cross-country phase, integrating physiological data (heart rate-derived <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>V</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></semantics></math></inline-formula> and lactate-based anaerobic estimates) with external workload indicators (GPS-derived speed, elevation, and course complexity). …”
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A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments by P. Yeste, P. Yeste, P. Yeste, M. García-Valdecasas Ojeda, M. García-Valdecasas Ojeda, S. R. Gámiz-Fortis, S. R. Gámiz-Fortis, Y. Castro-Díez, Y. Castro-Díez, A. Bronstert, M. J. Esteban-Parra, M. J. Esteban-Parra

“…<p>The simultaneous incorporation of streamflow and evaporation data into sensitivity analysis and calibration approaches has great potential to improve the representation of hydrologic processes in modelling frameworks. This work aims to investigate the capabilities of the Variable Infiltration Capacity (VIC) model in a large-sample application focused on the joint integration of streamflow and evaporation data for 189 headwater catchments located in Spain. …”
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Paradoxical Effect of Myosteatosis on the Immune Checkpoint Inhibitor Response in Metastatic Renal Cell Carcinoma by Jiwoong Yu, Hyeonju Ahn, Kyung Yeon Han, Wan Song, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon, Se Hoon Park, Woong‐Yang Park, Ji Hyun Lee, Minyong Kang

“…Altered checkpoint expression and immune cell composition associated with myosteatosis may contribute to these differential responses.…”
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Neuroprotective effects of essential oils in animal models of Alzheimer’s and Parkinson’s disease: a systematic review by Adrielle do Espírito Santos Macedo, Thayná Moraes Ferreira, Lane Viana Krejcová, Fernando Allan de Farias Rocha, Joyce Kelly R. da Silva, Laís Resque Russo Pedrosa, Bruno Duarte Gomes

“…Studies primarily utilized Wistar rats (46.15%) and various mouse strains, employing diverse disease induction methods including β-amyloid administration (30.7% of AD models), rotenone (7.7% of PD models), and 6-hydroxydopamine (7.7% of PD models). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Investigating the strength performance of 3D printed fiber-reinforced concrete using applicable predictive models by Lu Qianyang, Mei Song, AlAteah Ali H., Alsubeai Ali, Eldin Mohammad Mohie, Ahmed Hafez Mohamed

“…Making changes to the mixture composition of 3D-printed fiber-reinforced concrete (3DP-FRC) involves a lot of trial and error due to the many interdependent variables. …”
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Influence of Guluronic and Mannuronic Groups in Sodium Alginate Blends with Silk Fibroin: Phase Equilibrium and Thermodynamic Modeling by Laise Maia Lopes, Mariana Agostini de Moraes, Marisa Masumi Beppu

“…The influence of the proportion between mannuronic and guluronic acids on SA composition was investigated. After phase separation, two phases were identified, and the equilibrium data were fitted on three different thermodynamic models: Flory–Huggins, non-random two-liquids, and universal quasichemical. …”
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Modeling the Impact of Landscape Dynamics on Soil Erosion in Eastern DR Congo: Implications for Sustainable Land Management by Jean Nacishali Nteranya, Andrew Kiplagat, Elias K. Ucakuwun, Chantal Kabonyi Nzabandora

“…The landscape metrics, which significantly influenced the erosion dynamics with composition indices, collectively explained 60.9%, while the landscape structure metrics explained 34.89% of annual soil erosion rate variability in the best fit developed models. …”
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Nile Red Staining for Oil Determination in Microalgal Cells: A New Insight through Statistical Modelling by Ronald Halim, Paul A. Webley

“…In its first phase, this study examined the dependence of microalgal Nile red fluorescence (Tetraselmis suecica) in terms of its most pertinent staining variables. A quadratic surface model that successfully described the Nile red fluorescence intensity as a composite function of its variables was generated (r2=0.86). …”
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Integrating observational and modelled data to advance the understanding of heat stress effects on pregnant subsistence farmers in the gambia by Carole Bouverat, Jainaba Badjie, Tida Samateh, Tida Saidy, Kris A. Murray, Andrew M. Prentice, Neil Maxwell, Andy Haines, Ana Maria Vicedo Cabrera, Ana Bonell

“…Associations between physiological and environmental variables were assessed through Pearson correlation coefficient analysis, mixed effect linear models with random intercepts per participant and confirmatory composite analysis. …”
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The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models by Patrick Burns, Zaneta Kaszta, Samuel A. Cushman, Samuel A. Cushman, Jedediah F. Brodie, Jedediah F. Brodie, Christopher R. Hakkenberg, Patrick Jantz, Mairin Deith, Matthew Scott Luskin, James G. C. Ball, Jayasilan Mohd-Azlan, David F. R. P. Burslem, Susan M. Cheyne, Susan M. Cheyne, Iding Haidir, Iding Haidir, Andrew James Hearn, Eleanor Slade, Peter J. Williams, David W. Macdonald, Scott J. Goetz

“…For the SDM analyses, we tested several combinations of predictor sets and found that when considering a large pool of multiscale predictors, the exact composition, and whether GEDI Fusion predictors were included, didn’t have a large impact on generalized linear modeling (GLM) and Random Forest (RF) model performance. …”
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Establishing strength prediction models for low-carbon rubberized cementitious mortar using advanced AI tools by Fu Limei, Xu Feng

“…Rubberized cementitious composites have emerged as a sustainable alternative in the construction sector by promoting circular economy principles. …”
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Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models by Mohammad Hossein Pishvaei, Shabnam Noroozpour, Touraj Sabzevari, Mostafa Akbari Kheirabadi, Andrea Petroselli

“…Infiltration, the process by which water enters the soil, is intricately intertwined with the attributes of the catchment, including soil composition and vegetation cover, both of which exhibit temporal and spatial variability. …”
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Hybrid Gaussian Process Regression Models for Accurate Prediction of Carbonation-Induced Steel Corrosion in Cementitious Mortars by Teerapun Saeheaw

“…Four Gaussian Process Regression (GPR) variants were systematically developed: Baseline GPR with manual optimization, Expert Knowledge GPR employing domain-driven dual-kernel architecture, GPR with Automatic Relevance Determination (GPR-ARD) for feature selection, and GPR-OptCorrosion featuring specialized multi-component composite kernels. The models were trained and validated using 180 carbonated mortar specimens with 15 systematically categorized variables spanning mixture, material, environmental, and electrochemical parameters. …”
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The Ecological Impacts and Modeling of the Beaver Dam Distribution: A Study on Habitat Characteristics and Environmental Factors in Romania by Alexandru Gridan, Ovidiu Ionescu, Georgeta Ionescu, Ancuta Fedorca, Elena Ciocirlan, Claudiu Pașca, Darius Hardalau

“…This study aimed to (i) characterize the physical and compositional features of beaver dams in the Râul Negru basin, Romania, (ii) model the environmental variables influencing the dam distribution using MaxEnt, and (iii) evaluate the implications for broader conservation strategies. …”
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Predicting the role of socio-economic indices for the Human Development Index based on a multivariate regression model by Zainab Alimoradi, Mark D. Griffiths, Mehran Alijanzadeh

“…The multivariate regression model showed IMR and the MPI were significant predictors of HDI and explained 84.7% of variance. …”
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease by James L. Jr. Januzzi, Naveed Sattar, Muthiah Vaduganathan, Craig A. Magaret, Rhonda F. Rhyne, Yuxi Liu, Serge Masson, Javed Butler, Michael K. Hansen

“…We sought to develop an accurate means by which to stratify risk in DKD. Methods Clinical variables and biomarkers were evaluated for their ability to predict the adjudicated primary composite endpoint of CREDENCE (Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation) by 3 years. …”
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