Soil and groundwater contamination by crude oil spillage: A review and implications for remediation projects in Nigeria by Margaret A. Adeniran, Margaret A. Adeniran, Michael A. Oladunjoye, Kennedy O. Doro

“…In-depth field, laboratory, and computer models for crude oil contamination investigation have been developed with over 60 years of significant research. …”
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Adding Tibial Tuberosity Medialization to Medial Patellofemoral Ligament Reconstruction Reduces Lateral Patellar Maltracking During Multidirectional Motion in a Computational Simul... by John J. Elias, Ph.D., Andrew J. Cosgarea, M.D., Miho J. Tanaka, M.D., Ph.D.

“…Methods: Seven computational models representing knees with patellar instability, including lateral patellar maltracking, were evaluated following simulated MPFL reconstruction (bisect offset index > .75). …”
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Machine Learning to Detect Alzheimer’s Disease from Circulating Non-coding RNAs by Nicole Ludwig, Tobias Fehlmann, Fabian Kern, Manfred Gogol, Walter Maetzler, Stephanie Deutscher, Simone Gurlit, Claudia Schulte, Anna-Katharina von Thaler, Christian Deuschle, Florian Metzger, Daniela Berg, Ulrike Suenkel, Verena Keller, Christina Backes, Hans-Peter Lenhof, Eckart Meese, Andreas Keller

“…Here, we determined abundance levels of 21 known circulating miRNAs in 465 individuals encompassing AD patients and controls by RT-qPCR. We computed models to assess the relation between miRNA expression and phenotypes, gender, age, or disease severity (Mini-Mental State Examination; MMSE). …”
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Three-Dimensional-QSAR and Relative Binding Affinity Estimation of Focal Adhesion Kinase Inhibitors by Suparna Ghosh, Seung Joo Cho

“…Here, we conducted computational modeling of FAK-targeting inhibitors using three-dimensional structure–activity relationship (3D-QSAR), molecular dynamics (MD), and hybrid topology-based free energy perturbation (FEP) methods. …”
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Brugada Syndrome: From Molecular Mechanisms and Genetics to Risk Stratification by Irene Paula Popa, Dragomir N. Șerban, Minela Aida Mărănducă, Ionela Lăcrămioara Șerban, Bogdan Ionel Tamba, Ionuț Tudorancea

“…The main electrophysiological mechanism of BrS requires further research, with prevailing theories centered on aberrant repolarization, depolarization, and current-load match. Computational modelling, pre-clinical, and clinical research show that BrS molecular anomalies result in excitation wavelength (k) modifications, which eventually increase the risk of arrhythmia. …”
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Learning-Free Hyperspectral Anomaly Detection With Unpredictive Frequency Residual Priors by Shichao Zhou, Wenzheng Wang, Chentao Gao

“…Such heuristic prior incorporated into the computational model can reduce dependence on the large-scale training set. …”
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Influence of Geometric Parameters of Conical Acrylic Portholes on Their Stress–Strain Behaviour by Vladimir Kochanov, Václav Píštěk, Andrii Kondratiev, Tetyana Yuresko, Pavel Kučera

“…External hydrostatic pressure of 10 MPa, absence of loads from the inside and continuous sliding of the translucent element with friction along the conical supporting surface of the porthole metal body are the boundary conditions for the computational model. Full-scale tests of translucent elements of portholes made of organic glass were performed under the action of uniform hydrostatic pressure. …”
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Computer Simulations of Silicide-Tetrahedrite Thermoelectric Generators by Rodrigo Coelho, Álvaro Casi, Miguel Araiz, David Astrain, Elsa Branco Lopes, Francisco P. Brito, António P. Gonçalves

“…The developed computational models were validated against data measured on a customized system working with commercial TE devices. …”
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Numerical modeling of the dynamics of the clutch couplers by D. V. Shevchenko, M. A. Kudryavtsev, A. M. Orlova, S. A. Ponomarev, A. M. Sokolov, Yu. V. Savushkina

“…Regulatory documents governing the provisions of automatic coupling devices in freight cars were analyzed. Dynamic computational models have been developed that describe the behavior of automatic couplings in the process of coupling cars, taking into account the inertial characteristics of all parts included in the assembly, the geometric nonlinearity associated with their contact interaction, and the elastic-damping properties of the absorbing device. …”
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Stellar Properties of Observed Stars Stripped in Binaries in the Magellanic Clouds by Y. Götberg, M. R. Drout, A. P. Ji, J. H. Groh, B. A. Ludwig, P. A. Crowther, N. Smith, A. de Koter, S. E. de Mink

“…Using the model fits, we also estimate the emission rates of ionizing photons for these stars, which agree well with previous model expectations. Further, by computing models for a range of mass-loss rates, we find that the stellar winds are weaker than predicted by any existing scheme ( ${\dot{M}}_{\mathrm{wind}}\lesssim {10}^{-9}$ M _⊙ yr ^−1 ). …”
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Using Laser Point Scanning Thermography for Quality Monitoring of Products Made of Composite Materials by Aleksandr G. Divin, Sergey V. Karpov, Yuriy A. Zakharov, Nataliya A. Karpova, Aleksandr A. Samodurov, Dmitriy Yu. Golovin, Aleksandr I. Tyurin

“…The method was tested on a fiberglass sample with introduced delamination defect simulations located at different depths below the surface. By means of computer modeling rational parameters of thermographic control were selected, providing reliable detection of the defect at a depth of up to 3 mm under the surface of the composite sample. …”
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Two-Dimensional Flood Inundation Modeling in the Godavari River Basin, India—Insights on Model Output Uncertainty by Vimal Chandra Sharma, Satish Kumar Regonda

“…In addition, ‘H’ values were analyzed for two different structures of the computational model. The average correlation coefficient (r) between the observed and simulated H values is greater than 0.85, and the highest r, i.e., 0.95, was observed for the combination of MERIT-90 m DEM and optimized (obtained via trial and error) Manning’s n. …”
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Enhanced cognitive and perceptual processing: A computational basis for the musician advantage in speech learning by Kirsten eSmayda, Bharath eChandrasekaran, Bharath eChandrasekaran, W. Todd eMaddox

“…The present study examines the impact of long-term music training on speech learning from a rigorous, computational perspective derived from signal detection theory. Our computational models provide independent estimates of cognitive and perceptual processing in native English-speaking musicians (n=15, mean age= 25 years) and non-musicians (n=15, mean age= 23 years) learning to categorize non-native lexical pitch patterns (Mandarin tones). …”
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Dental Caries Risk Assessment in Children 5 Years Old and under via Machine Learning by Seyed-Ali Sadegh-Zadeh, Ali Rahmani Qeranqayeh, Elhadj Benkhalifa, David Dyke, Lynda Taylor, Mahshid Bagheri

“…Aim: Through the development of computational models and the use of machine learning classification techniques, we investigated the potential for dental caries factors and lifestyle among children under the age of five. …”
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Numerical Study of Gas Flow in Super Nanoporous Materials Using the Direct Simulation Monte-Carlo Method by Vahid Shariati, Ehsan Roohi, Amin Ebrahimi

“…The simulations are performed for different material porosities (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.5</mn><mo>≤</mo><mi>ϕ</mi><mo>≤</mo><mn>0.9</mn></mrow></semantics></math></inline-formula>), Knudsen numbers (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.05</mn><mo>≤</mo><mi>Kn</mi><mo>≤</mo><mn>1.0</mn></mrow></semantics></math></inline-formula>), and thermal boundary conditions (constant wall temperature and constant wall heat flux) at an inlet-to-outlet pressure ratio of 2. The present computational model captures the structure of heat and fluid flow in porous materials with various pore morphologies under rarefied gas flow regime and is applied to evaluate hydraulic tortuosity, permeability, and skin friction factor of gas (argon) flow in super nanoporous materials. …”
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Examining lung mechanical strains as influenced by breathing volumes and rates using experimental digital image correlation by C. A. Mariano, S. Sattari, K. A. M. Quiros, T. M. Nelson, M. Eskandari

“…The insights provided by the real-time continuous measures, and the kinetics to kinematics pulmonary linkage established by this study offers valuable characterizations for computational models and establishes a framework for future studies to compare healthy and diseased lung mechanics to further consider alternatives for effective ventilation strategies.…”
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Systems-Level Feedbacks of NRF2 Controlling Autophagy upon Oxidative Stress Response by Orsolya Kapuy, Diána Papp, Tibor Vellai, Gábor Bánhegyi, Tamás Korcsmáros

“…Accumulating experimental evidence reveals that oxidative stress also influences the balance of the 5′ AMP-activated protein kinase (AMPK)/rapamycin (mammalian kinase target of rapamycin or mTOR) signaling pathway, thereby inducing autophagy. Based on computational modeling here we propose that the regulatory triangle of AMPK, NRF2 and mTOR guaranties a precise oxidative stress response mechanism comprising of autophagy. …”
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Specifying Inputs for the Computational Structure of a Surgical System via Optical Method and DLT Algorithm Based on In Vitro Experiments on Cardiovascular Tissue in Minimally Inva... by Grzegorz Ilewicz, Edyta Ładyżyńska-Kozdraś

“…This made it possible to acquire kinematic inputs to the computational model of dynamics, which enabled, regardless of the type of surgical robot structure, derivation of the analogous motion of an endoscopic effector due to the mathematical transformation of the trajectory to joints coordinates. …”
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Precise Dynamic Modelling of Real-World Hybrid Solar-Hydrogen Energy Systems for Grid-Connected Buildings by Ayatte I. Atteya, Dallia Ali, Nazmi Sellami

“…Hybrid renewable hydrogen energy systems could play a key role in delivering sustainable solutions for enabling the Net Zero ambition; however, the lack of exact computational modelling tools for sizing the integrated system components and simulating their real-world dynamic behaviour remains a key technical challenge against their widespread adoption. …”
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Fetal Dose Variations in Lung Scintigraphy of Pregnant Woman: The Role of Fetal Body Habitus by Motahareh Zohur-Karbaf, Seyed Hashem Miri-Hakimabad, Elie Hoseinian-Azghadi

“…Material and Methods: In this respect, seven computational models of pregnant women and fetus in three trimesters of pregnancy were used and Monte Carlo calculations were performed using Monte Carlo n-particle –extended (MCNPX) code version 2.6.0 to assess absorbed dose coefficients. …”
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