Model Test Study of Rainfall Factors on Failure Process of Xiashu Loess Slope with Gravel Layer by Yanran Hu, Shaorui Sun, Yuyong Sun

“…Rainfall is an important factor affecting the stability of Xiashu loess slope, so it is particularly important to understand the infiltration law and induction process of rainfall in Xiashu loess slope. In this paper, a Xiashu loess slope model with a slope ratio of 1 : 1.2 is constructed in the model box. …”
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A model for generative artificial intelligence in customer decision-making process using social interaction by Hodjat (Hojatollah) Hamidi

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Using TOXCHEM model for simulation the hydrogen sulfide behavior in a full-scale MBBR process by Waqed H. Hassan, Ahmed M. Faris, Ayad A.H. Faisal

“…In this study, hydrogen sulfide gas was modeled using the TOXCHEM model of the Aoun sewage treatment plant, which operates with the MBBR system. …”
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Model-based analysis of construction design of technological adapter for magnetic-pulse processing of plants in horticulture by D. O. Khort, P. A. Filippov, A. I. Kutyrev

“…Zones of concentration of tension 50 mm apart the upper point of fixing of the actuator to a guideway were determinated. Their maximum values reach 40 MPas. Features of distribution of tension dispersion of in these zones are revealed, spectrum of the equivalent tension of model are received. …”
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Image Recognition and Processing of Rock Cuttings Based on Computer Vision by WANG Dewei, DENG Rui, CHENG Jiaqin

“…By analyzing and verifying the test set of rock cuttings sample data collected at a certain depth, comparing the results with the conclusions of logging data, it is determined that the accuracy rate of this method reaches 93.4%. The results indicate that the rock cuttings recognition and classification based on K-means optimization algorithm can accurately recognize and process rock cuttings images. …”
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Parallelization of forest landscape model to improve computational efficiency and simulation realism by Xianghua Zou, Hang Sun, Kai Liu, Mia M. Wu, Hong S. He

“…In this study, we present a parallel processing design embedded in the LANDIS forest landscape model. …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

“…The integration of deep learning (DL) into image processing has driven transformative advancements, enabling capabilities far beyond the reach of traditional methodologies. …”
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Evaluating the Effect of Morphologic Units on Fractional Sediment Mobility and Bedload Transport in a Small Pool‐Riffle Reach by Nisreen G. Al‐Ghorani, Marwan A. Hassan, Conor McDowell

“…Abstract This study examines the spatial pattern of fractional sediment mobility and assesses the influence of morphologic units on bedload transport in a small pool‐riffle reach with limited supply. Using a 2D hydraulic model and a subsurface‐based sediment transport model, shear stresses, fractional sediment mobility, and bedload transport were examined for flow events ranging in magnitude between 0.2Qbf and 1.5Qbf. …”
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The Rapid Transition From Shallow to Precipitating Convection as a Predator–Prey Process by Cristian V. Vraciu, Julien Savre, Maxime Colin

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The importance of HR process maturity for the course of post-merger integration by Stankiewicz-Mróz Anna

“…An adapted McCormack and Johnson process maturity model was used to identify the level of HR maturity; whereas, the impact of HR process maturity on the course of integration was assessed based on a model of post-merger integration in the HR area developed by the author. …”
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Starch Origin and Thermal Processing Affect Starch Digestion in a Minipig Model of Pancreatic Exocrine Insufficiency by Anne Mößeler, Sandra Vagt, Martin Beyerbach, Josef Kamphues

“…In PL pcD of raw starch was significantly lower for all sources of starch except for amaranth (87.9%). Thermal processing increased pcD in PL, reaching values of C for starch from rice, potato, and pea. …”
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Discharge, Groundwater Gradients, and Streambed Micro‐Topography Control the Temporal Dynamics of Transient Storage in a Headwater Reach by Enrico Bonanno, Günter Blöschl, Julian Klaus

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Towards Non-Animal Testing in European Regulatory Toxicology: An Introduction to the REACH Framework and Challenges in Implementing the 3Rs by Katerina Stoykova

“…This study underscores the scientific limitations of animal models and highlights the ethical and methodological burdens associated with their use. …”
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Selection of Trajectories to Improve Thermal Fields During the Electric Arc Welding Process Using Hybrid Model CFD-FNN by Sixtos A. Arreola-Villa, Alma Rosa Méndez-Gordillo, Alejandro Pérez-Alvarado, Rumualdo Servín-Castañeda, Ismael Calderón-Ramos, Héctor Javier Vergara-Hernández

“…Integrating CFD simulations and neural networks introduces a hybrid methodology combining precise numerical modeling with advanced predictive capabilities. The hybrid CFD-FNN results reached a determination coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) of 0.93 and an MAPE of 3.5% highlighting the potential of this approach to predict the thermal behavior in multipoint welding processes. …”
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Extended reality and informative models for the architectural heritage: from scan-to-BIM process to virtual and augmented reality by Fabrizio Banfi, Raffaella Brumana, Chiara Stanga

“…In conjunction with entertainment software and gaming, this research shows the main results obtained during the generative process of digital environments oriented to improve the level of information and to enrich the contents coming from the informative models. …”
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Multivariate modeling of the Fenton process for enhanced COD removal and low sludge generation in landfill leachate treatment by Nader Biglarijoo, Amin Shams

“…In order to have a clearer understanding of the process, multivariate modeling was applied to three targets to provide better predictions of the reaction. …”
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Systematic metronidazole adsorption performance onto montmorillonite clay: Parametric study, process modelling and RSM optimisation by Jean Paul Nongni Tejeogue, Raphael Djakba, Cyrille Ghislain Fotsop, Narcisse Dobe, Sali Mouhamadou, Bagamla Wangmene, Massai Harouna

“…The optimum uptake capacity reached was 84.22 mg/g at a contact time of 20 min with adsorbent mass of 0.01 g at pH 7 using MNZ concentration of 80 mg/L. the second order kinetic model fitted best the experimental data and the reaction was controlled by Freundlich isotherm which indicate multilayer adsorption onto heterogeneous surface. …”
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The evaluation model of engineering practice teaching with complex network analytic hierarchy process based on deep learning by Xianlong Han, Xiaohui Chen

“…A brand-new teaching evaluation model is constructed based on the Internet of Things (IoT) technology, combined with complex network analytic hierarchy process and deep learning method. …”
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Energy Efficiency of the Extrusion Process and its Effect on Output of Biogas during the Fermentation of Maize and Rape Straw by Zablodskiy M., Klendiy P., Dudar O., Babak D.

“…The purpose of the research is determining the influence of pre-treatment by extrusion of rape and maize straw on the output of biogas and the energy efficient mode of the extrusion process. The set goal is achieved by solving the following problems: pre-treatment of rape and maize straw by grinding and various versions of extrusion; carrying out experimental researches of the fermentation of rape and maize straw in the mesophilic mode of fermentation for 42 days; carrying out numerical modeling to determine the power inputs on the process of extrusion during change the frequency rotation of screw conveyer of the extruder. …”
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A MODEL OF CLOSED CIRCUITS FORMING IN A LOGISTICS SYSTEM WITH FEEDBACK by Tetyana Kovtun

“…The aim of this article is to develop a model of the formation of reverse material flows using the processes of circular economy, which will achieve maximum efficiency of the logistics system. …”
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