Spatial pattern of Trees in the Riparian Forests (Case Study: Wildlife Refuge of Karkhe) by Shaieste Gholami

“…To describe spatial autocorrelation of a variable quantitatively, a (theoretical) variogram model can be fitted to the empirical variogram in order to obtain the model parameters nugget, sill and range. 3- Results and Discussion The variograms of Populus euphratica and Lycium shawii were spherical. …”
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Merging eDNA and ecological network analysis to assess aquatic ecosystem status by Xusheng Wang, Xiaonan Wang, Shunhao Ai, Fan Wu, Jiayin Xi, Ji Li, Zhengtao Liu

“…A structural equation model was used to further refine the model by reducing the number of evaluation indicators, demonstrating that ecological status is affected by physical and nutrient factors, with biodiversity serving as a mediating variable. …”
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Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification by Pegah Mohammadpour, Domingos Xavier Viegas, Alcides Pereira, Emilio Chuvieco

“…Wildfires significantly reshape the landscape of the Mediterranean basin, altering forest composition, structure, and diversity. Consequently, detailed fuel mapping is crucial for improving fire risk assessment and enhancing fire behavior modeling, as wildfires typically ignite from surface fuels and may spread vertically to canopy fuels due to canopy fuel continuity. …”
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Biofuel Production in Oleic Acid Hydrodeoxygenation Utilizing a Ni/Tire Rubber Carbon Catalyst and Predicting of n-Alkanes with Box–Behnken and Artificial Neural Networks by Luis A. Sánchez-Olmos, Manuel Sánchez-Cárdenas, Fernando Trejo, Martín Montes Rivera, Ernesto Olvera-Gonzalez, Benito Alexis Hernández Guerrero

“…We developed a dataset with pressure, temperature, metal content, reaction time, and catalyst composition variables as inputs. The output variables are the n-C₁₇ and n-C₁₈ alkanes obtained. …”
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AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecogniz... by Raquel M. Zimmerman, Edgar J. Hernandez, Mark Yandell, Martin Tristani-Firouzi, Robert M. Silver, William Grobman, David Haas, George Saade, Jonathan Steller, Nathan R. Blue

“…Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of “explainable artificial intelligence (AI)”, as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR. …”
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Numerical Mixing Index: Definition and Application on Concrete Mixer by Cristian Ferrari, Nicolò Beccati, Luca Magri

“…In this work, a statistical method is applied to a multiphase CFD simulation of concrete mixing performed in a truck mixer. The numerical model is based on an Eulerian–Eulerian approach in a transient regime. …”
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Is the real sector structure the determining factor of the financial sector structure of Iran's economy? by Seyedrohollah Ahmadi Hajiabadi

“…In the second step, the long-term and short-term model coefficients were estimated and then using causality test, the causal relationship between the structure of the financial and real sectors was investigated. …”
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Crustacean zooplankton communities as indicators of game fish occurrence and abundance in Québec lakes by Cindy Paquette, Stéphanie Gagné, Maxime Gaudet-Boulay, Véronique Leclerc, Paschale Noël Bégin, Zofia E. Taranu, Beatrix E. Beisner, Vincent Fugère

“…Our analyses revealed that both taxonomic and functional zooplankton composition were significant predictors of focal fish species occurrence, albeit less so than environmental or fish community composition variables. …”
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Microbiota and Long-Term Prognosis in Liver Cirrhosis by E. G. Malaeva, I. O. Stoma

“…The analysis of the difference in the proportional composition of the microbiome between the groups was carried out using polynomial Dirichlet modeling (Likelihood-Ratio-Test Statistics: Several Sample Dirichlet-Multinomial Test Comparison), the Mann-Whitney test with preliminary data transformation by CLR transformation (Centered log ratio transform), differential analysis of gene expression based on negative binomial distribution (DESeq2). …”
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Lactational performance effects of 3-nitrooxypropanol supplementation to dairy cows: A meta-regression by L.F. Martins, M. Maigaard, M. Johansen, P. Lund, X. Ma, M. Niu, A.N. Hristov

“…Full models containing uncorrelated explanatory variables (Pearson correlation <0.50) were fitted, and variables were removed from the final model if nonsignificant using the stepwise selection approach. …”
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Müller glia activation in response to inherited retinal degeneration is highly varied and disease-specific. by Claire Hippert, Anna B Graca, Amanda C Barber, Emma L West, Alexander J Smith, Robin R Ali, Rachael A Pearson

“…The OLM adherens junctions underwent significant remodelling in all models, but with differences in the composition of the resulting junctions; in Rho-/- mice, the adherens junctions maintained the typical rod-Müller glia interactions, while in the Pde6brd1/rd1 model they formed predominantly between Müller cells in late stage of degeneration. …”
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Pathways for Potential Exposure to Onshore Oil and Gas Wastewater: What We Need to Know to Protect Human Health by Ayusha Ariana, Isabelle Cozzarelli, Cloelle Danforth, Bonnie McDevitt, Anna Rosofsky, Donna Vorhees

“…Knowledge gaps include understanding the variable composition and toxicity of produced water released to the environment, the performance of treatment methods, migration pathways through the environment that can result in human exposure, and the significance of the exposures for human and ecosystem health. …”
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Visceral fat, cardiovascular risk factors and quality of life in lupus activity categorised via complement C3 by J Alfredo Martinez, Victor Moreno-Torres, María Martínez-Urbistondo, Raquel Castejón, Susana Mellor-Pita, Andrea Higuera-Gómez, Begoña de Cuevillas, Amanda Cuevas-Sierra, Juan-Antonio Vargas

“…Interestingly, household composition as a sociodemographic variable (alone, couple/children/elderly or other) also showed an independent association with SLE activity.Conclusions Inactive patients with SLE exhibited more adverse cardiovascular risk markers compared with active patients categorised by complement C3, even when glucocorticoid administration was accounted for. …”
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Experimental Investigation on the 3D Printing of Nylon Reinforced by Carbon Fiber through Fused Filament Fabrication Process, Effects of Extruder Temperature, and Printing Speed by Mahmoud Moradi, Zeinab Malekshahi Beiranvand, Nahid Salimi, Saleh Meiabadi, Jonathan Lawrence

“…This study investigated how the extruder temperature, printing speed, and specimen geometry interact during a tensile test of continuous carbon fiber-reinforced nylon matrix composites produced by the fused deposition modelling (FDM) process. …”
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Color Variation in 3D-Printed Orthodontic Aligners as a Compliance Indicator: A Prospective Pilot Study by Francesca Cremonini, Giuseppe Chiusolo, Filippo Pepe, Luca Lombardo

“…However, individual variability in saliva composition, diet, and oral hygiene may have influenced the results, highlighting the need for further research into potential confounding variables. …”
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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…As is known, the selection of optimal conditions for the analysis of extracts from medicinal plant raw materials (MPМ), as well as medicinal herbal preparations and pharmaceutical substances of plant origin, characterized by a complex variable composition of biologically active substances (BAS) by TLC, presents certain difficulties. …”
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Determinants of Sustainability Reporting in the Romanian Banking Sector by Mihaela CUREA, Maria Carmen HUIAN, Marilena MIRONIUC

“…Regression trees facilitate the identification and modeling of non-linear and conditional relationships between variables, enabling the detection of complex interactions that traditional fixed-effects regression models cannot capture. …”
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Canada goose fecal microbiota correlate with geography more than host‐associated factors by Joshua C. Gil, Heather R. Skeen, Celeste Cuellar, Sarah M. Hird

“…Supervised machine learning models were able to predict the state and flyway of origin of a fecal sample based on bacterial composition alone. …”
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Optimization of the synthesis of highly pure calcium sulphate from dolomite ore by Isaac Adekunle Joseph, Elijah Olawale Ajala, Amina Ahmed El-Imam, Mary Adejoke Ajala, Comfort Temitope Are, Esther Olubunmi Babatunde

“…A significant quadratic model (P-value = 0.0002, R2 = 0.923) was developed for CaSO4 synthesis. …”
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Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis by Lei Li, Hui Jing, Yuqi Zhao, Shenghua Wu, Boyu Zhu

“…Based on survey data from China, we employed a Gradient Boosting Decision Tree (GBDT) model and conducted SHAP interpretability analysis. …”
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