Modeling biogeochemical processes in the Azov Sea using statistically processed data on river flow by A. I. Sukhinov, Y. V. Belova, A. V. Nikitina, A. M. Atayan

“…River flow, varying in volume and chemical composition, affects significantly the variability of hydrophysical and biogeochemical parameters of the processes occurring in the coastal environment. …”
Get full text

Dendrochronology and Isotope Chronology of <i>Juglans neotropica</i> and Its Response to El Niño-Related Rainfall Events in Tropical Highlands of Piura, Northern Peru by Tone Marie Ektvedt, Michael N. Evans, Donald A. Falk, Paul R. Sheppard

Get full text

Quantitative control of interfacial structure and thermal conductivity between diamond and copper via thermal diffusion of alloying element by Yizhe Cao, Bo Li, Lei Liu, Shaolong Li, Dongxu Hui, Shaodi Wang, Huiying Liu, Xin Li, Xin Zhang, Shengyin Zhou, Shufeng Li

“…Furthermore, thermal diffusion of diamond/metal reaction is discussed based on theoretical models. We theoretically demonstrate that long thermal diffusion could enhance the thermal diffusivity for the composites and achieve ∼90.8% of theoretical thermal conductivity predicted by the Maxwell-Eucken model.…”
Get full text

Presenting the model of managerial competencies of women in the industry (case study: Sabah Food Company) by masoomeh samadi, mohammad mohammadi, Hamid Rezaei Far, hossein hakimpour

“…Abstract The purpose of this research is to provide a model of managerial competencies of women in the industry (case study: Sabah Food Company). …”
Get full text

MATHEMATICAL MODELS OF CREATION OF A SUBSYSTEM OF ENSURING SAFETY OF INFORMATION IN THE DISTRIBUTED INFORMATION SYSTEMS by D. O. Esikov, R. N. Akinshin, P. I. Abramov, L. E. Loutina

Get full text

Modeling the Higher Heating Value of Spanish Biomass via Neural Networks and Analytical Equations by Anbarasan Jayapal, Fernando Ordonez Morales, Muhammad Ishtiaq, Se Yun Kim, Nagireddy Gari Subba Reddy

“…The optimized ANN achieved strong predictive accuracy (validation R² ≈ 0.81; mean squared error ≈ 1.33 MJ/kg; MAE ≈ 0.77 MJ/kg), representing a substantial improvement over 54 analytical models despite the known complexity and variability of biomass composition. …”
Get full text

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

“…Future work will focus on extending the dataset to include a wider variety of clay compositions and investigating hybrid modeling approaches to further improve predictive performance.…”
Get full text

Evaluating the Wound Healing Activity of Fabricated Stingless Bee Honey Hydrogels in an Animal Model by Mohd Azri Abd Jalil, Hazrina Hadi, Muhammad Lokman Md Isa, Umar Azhan, Kamarul Ariffin Khalid, Md Abul Barkat

Get full text

THE COMPATIBILITY OF MODEL FOR LOW SHEAR FLOW ANALYSIS IN DEVELOPING PLASTICIZED HTPB-BASED BINDER by Afni Restasari, Luthfia Hajar Abdillah, Retno Ardianingsih, Bagus Wicaksono, Rika Suwana Budi

“…In developing flow behavior of plasticized prepolymer as liquid content of composite solid propellant, zero shear viscosity (ZSV) is a critical parameter that Goh-Wan equation is developed to model it recently [1]. …”
Get full text

Predictive Modeling of Functional and Physical Properties of Extrusion Cooked Ready-To-Eat Corn Meal by Adeyemi Adio Aderele, Adewumi Babatunde, Adeniyi Olayanju, Adekojo Waheed

“…Adequate precision/R-Square values for WAI, WSI, BD, and ER respectively were 25.92/0.97, 11.69/0.99, 10.00/0.94, and 22.51/0.99, which measured each model’s degree of fitness. These values proved that each model have good predictability and was fitted for prediction purposes.…”
Get full text

Modeling the Production Process of Lignin Nanoparticles Through Anti-Solvent Precipitation for Properties Prediction by Victor Girard, Laurent Marchal-Heussler, Hubert Chapuis, Nicolas Brosse, Nadia Canilho, Isabelle Ziegler-Devin

“…Using first a parametric and then a Fractional Factorial Design, predictions of LNP sizes and size distribution, as well as zeta-potential, were derived from a model over beech by-products organosolv lignin, depending on initial lignin concentration (x₁, g/L), solvent flow rate (x₂, mL/min), antisolvent composition (x₃, H2O/EtOH <i>v</i>/<i>v</i>), antisolvent ratio (x₄, solvent/antisolvent <i>v</i>/<i>v</i>), and antisolvent stirring speed (x₅, rpm). …”
Get full text

Genome-scale metabolic modelling of human gut microbes to inform rational community design by Juan Pablo Molina Ortiz, Dale David McClure, Andrew Holmes, Scott Alan Rice, Mark Norman Read, Erin Rose Shanahan

“…While DRC supplementation offers a means to modulate the microbiome therapeutically, its effectiveness is often limited by the microbial community’s complexity and individual variability in microbiome functionality. We utilized genome-scale metabolic models (GEMs) from the AGORA collection to provide a system-level overview of the metabolic capabilities of human gut microbes in terms of carbohydrate trophic networks and propose improved therapeutic interventions, based on microbial community design. …”
Get full text

Non-linear association of a novel inflammation-lipid composite marker CRP/HDL with insulin resistance and type 2 diabetes: findings from a comprehensive national cross-sectional st... by Kun Xue, Meijun Sun, Chao Zong, Shanshan Xing, Hang Xue

Get full text

Designing model of place branding based on brand attachment (Kish Island case study) by khadigeh Ghaemmaghami Tabrizi, Asghar Moshabaki Esfahaniَ, Abdolah Naami, Naser Azad

“…Qualitative data were analyzed by Maxqda software. Using extracted Variables for designing the questionnaire and gathering data from tourism by Simple Random Sample and quantitative data analyzed by Structural Equation Modeling by SMART-PLS. …”
Get full text

Assessing the multi-scale predictive ability of ecosystem functional attributes for species distribution modelling. by Salvador Arenas-Castro, João Gonçalves, Paulo Alves, Domingo Alcaraz-Segura, João P Honrado

“…Here we describe a modelling framework to assess the predictive ability of EFAs as Essential Biodiversity Variables (EBVs) against traditional datasets (climate, land-cover) at several scales. …”
Get full text

Design of bond strength testing method of concrete layers for creating a material model by Marek Kříž, Michaela Frantová, Václav Wudi, Petr Štemberk

“… The need to determine the bond strength of concrete layers in structural modeling is quite frequent and often encounters a lack of relevant experimental data due to the large number of variables which affect the bond strength. …”
Get full text

Application of RSM- CCD methodology and image J. for modeling and optimization of orchid protocorm encapsulation by Zahra Mahdavi, Shirin Dianati Daylami, Ali Fadavi, Mandana Mahfeli

“…A device was designed to control the dripping of alginate for a given temperature in order to wrap the protocorm. The central composite design has been used to investigate the effect of encapsulation variables on the physical properties of orchid synthetic seed such as volume, sphericity Index (SI) and Concentricity Index (CI). …”
Get full text

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra, Saravana Balaji Balasubramanian, Omar Khattab, Mhd Omar Al-Kadri

“…The innovation of improved multi-label Naïve Bayes (iMLNB) lies in its strategic expansion of the input space, which assimilates meta information derived from the label space, thereby engendering a composite input domain that encompasses both continuous and categorical variables. …”
Get full text

Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020 by Xiaobang Liu, Shunlin Liang, Han Ma, Bing Li, Yufang Zhang, Yingying Li, Tao He, Guodong Zhang, Jianglei Xu, Changhao Xiong, Rui Ma, Wenfu Wu, Jiahua Teng

“…Using the Google Earth Engine platform, more than 40,000 images from Landsat-5, Landsat 7 and Landsat-8 were integrated, and the annual surface reflectance was normalized based on the multi-band least squares regression and maximum normalized difference vegetation index composite method. An ensemble learning model trained using high-resolution Gao-Fen 2 satellite imagery was used to generate the FFC long time-series product. …”
Get full text

TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluat... by S. Schmitt, S. Schmitt, S. Schmitt, F. J. Fischer, J. G. C. Ball, N. Barbier, M. Boisseaux, D. Bonal, B. Burban, X. Chen, G. Derroire, G. Derroire, G. Derroire, J. W. Lichstein, D. Nemetschek, N. Restrepo-Coupe, S. Saleska, G. Sellan, P. Verley, G. Vincent, C. Ziegler, J. Chave, I. Maréchaux

“…Here we evaluate the performance of TROLL 4.0 for two Amazonian sites with contrasting soil and climate properties. We assessed the model's ability to represent forest structure, composition, and dynamics using lidar-derived spatial distribution of top canopy height and forest inventories combined with information on plant functional traits. …”
Get full text