Digital Synthesis of Realistically Clustered Carbon Nanotubes by Bryan T. Susi, Jay F. Tu

“…Much of the published literature to date involving computational modeling of carbon nanotubes simplifies their structure as being long and straight, and often existing as isolated individual nanotubes. …”
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Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping by Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, Abolfazl Jaafari, Huu Duy Nguyen, Nadhir Al-Ansari, Tran Van Phong, Rohit Sharma, Raghvendra Kumar, Hiep Van Le, Lanh Si Ho, Indra Prakash, Binh Thai Pham

“…In this study, we proposed four ensemble soft computing models based on logistic regression (LR) combined with the dagging (DLR), bagging (BLR), random subspace (RSSLR), and cascade generalization (CGLR) ensemble techniques for groundwater potential mapping in Dak Lak Province, Vietnam. …”
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MYRIAM: Open‐Source Software to Estimate Torque Variations Associated With Plate‐Motion Temporal Changes by Valentina Espinoza, Juan Martin de Blas, Giampiero Iaffaldano

“…Researchers typically test hypotheses on the controlling torques via forward computer models, which allow accepting or rejecting hypotheses on the basis of the fit of model–output plate velocities to kinematic reconstructions. …”
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Curvature tuning through defect-based 4D printing by Vahid Moosabeiki, Ebrahim Yarali, Ava Ghalayaniesfahani, Sebastien J. P. Callens, Teunis van Manen, Angelo Accardo, Sepideh Ghodrat, José Bico, Mehdi Habibi, Mohammad J. Mirzaali, Amir A. Zadpoor

“…Furthermore, we develop computational models to predict the complex shape-changing of thermally actuated 4D printed structures given the distribution of rationally introduced imperfections and we demonstrate the potential applications of such defect-based metamaterials in drug delivery systems.…”
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Sphingosine-1-phosphate receptor 1 activation in the central nervous system drives cisplatin-induced cognitive impairment by Silvia Squillace, Michael L. Niehoff, Timothy M. Doyle, Michael Green, Emanuela Esposito, Salvatore Cuzzocrea, Christopher K. Arnatt, Sarah Spiegel, Susan A. Farr, Daniela Salvemini

“…Remarkably, our pharmacological and genetic approaches, coupled with computational modeling studies, revealed that cisplatin increased S1P production by activating TLR4. …”
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Vortex zones in an exhaust hood in front of an impermeable plane by Ziganshin Arslan, Logachev Konstantin, Kareeva Julia

“…This study is carried out numerically, so at the first stage the adequacy of the computation model is demonstrated by comparing it with the known data on the resistance of this kind of devices. …”
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An efficient method to estimate renewable energy capacity credit at increasing regional grid penetration levels by Jethro Ssengonzi, Jeremiah X. Johnson, Joseph F. DeCarolis

“…The objective of this study is to quantify the contribution of VRE to resource adequacy as a function of VRE penetration, across several regions, technologies, and resources. A computational model was built using the effective load carrying capability (ELCC) method to calculate capacity credit values for regions spanning the contiguous United States. …”
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Modeling of Heavy-Oil Flow with Regard to Their Rheological Properties by Ilia Beloglazov, Valentin Morenov, Ekaterina Leusheva, Ove T. Gudmestad

“…At the same time, results up to 30 s⁻¹ are considered in the developed computational models. The methodology of the research is, thus, based on a CFD approach with experimental confirmation of the results obtained. …”
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Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks by Wilson Castillo-Rojas, Juan Bekios-Calfa, César Hernández

“…The objective of this work is based on developing various computational models capable of making short-term forecasting about the generation of photovoltaic energy that is generated in a solar plant. …”
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Biotests in Cyanobacterial Toxicity Assessment—Efficient Enough or Not? by Petar Davidović, Dajana Blagojević, Jussi Meriluoto, Jelica Simeunović, Zorica Svirčev

“…In vitro models and computational modeling can complement vertebrate bioassays and reduce animal use, leading to better risk assessment and characterization of cyanotoxins.…”
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Predicting Failure Probability in Industry 4.0 Production Systems: A Workload-Based Prognostic Model for Maintenance Planning by Giuseppe Converso, Mosè Gallo, Teresa Murino, Silvestro Vespoli

“…The proposed approach utilises a logistic regression model to assess the health condition of equipment and a neural network computational model to estimate its failure probability according to the scheduled workloads. …”
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Updating studies of past life and ancient ecologies using defossilized organismal proxies by Erynn Johnson, David Peterman, Aja Carter

“…Fortunately, advances in computer modeling, virtual simulations, model fabrication, and physical experimentation now allow ancient organisms and their biomechanics to be studied like never before using “Defossilized Organismal Proxies” (DOPs). …”
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COVID-19 Outbreak Prediction with Machine Learning by Sina F. Ardabili, Amir Mosavi, Pedram Ghamisi, Filip Ferdinand, Annamaria R. Varkonyi-Koczy, Uwe Reuter, Timon Rabczuk, Peter M. Atkinson

“…This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to susceptible–infected–recovered (SIR) and susceptible-exposed-infectious-removed (SEIR) models. …”
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Understanding the Dynamics of the Structural States of Cannabinoid Receptors and the Role of Different Modulators by Anjela Manandhar, Mona H. Haron, Michael L. Klein, Khaled Elokely

“…Then, using in vitro experiments and computational modeling, we investigated how vitamin E functions as a lipid modulator to influence THC binding. …”
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Cardiovascular Modeling With Adapted Parametric Inference by Lucor Didier, Le Maître Olivier P.

“…Computational modeling of the cardiovascular system, promoted by the advance of fluid-structure interaction numerical methods, has made great progress towards the development of patient-specific numerical aids to diagnosis, risk prediction, intervention and clinical treatment. …”
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Residential Buildings’ Foundations as a Ground Heat Exchanger and Comparison among Different Types in a Moderate Climate Country by Lazaros Aresti, Paul Christodoulides, Gregoris P. Panayiotou, Georgios Florides

“…In this study, the use of Energy Geo-Structure (EGS) systems, namely, the foundation (or energy) piles and the foundation bed of a residential building in Cyprus, was computationally modeled in the COMSOL Multiphysics software. …”
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Exploring Therapeutic Potential of Nutraceutical Compounds from Propolis on MAPK1 Protein Using Bioinformatics Approaches as Anti-Coronavirus Disease 2019 (COVID-19) by Siregar Khalish Arsy Al Khairy, Kustiawan Paula Mariana, Sari Anissa Nofita, Hermanto Feri Eko

“…This study underscores the significance of network pharmacology and computational models in understanding propolis mechanisms, offering potential directions for future research and treatment strategies against COVID-19.…”
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INCORPORATING 3D PRINTING TECHNIQUES, AS A STEP FORWARD FOR UPGRADING THE DESIGN PROCESS IN ARCHITECTURAL EDUCATION by Osama Khalifa, Tariq Alsherif

“…They presented a project which was designed via computer modeling software "google sketch up" and then the printed model for that project. …”
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Tropical Wood Species Recognition: A Dataset of Macroscopic Images by Daniel Alejandro Cano Saenz, Carlos Felipe Ordoñez Urbano, Holman Raul Gaitan Mesa, Rubiel Vargas-Cañas

“…The dataset presents great usability for academics and researchers in the forestry sector, wood anatomists and personnel who work with computational models, without neglecting forest surveillance institutions such as regional autonomous corporations and the Ministry of the Environment.…”
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Seven design principles for teaching complex socioscientific issues: the design of a complex systems agent-based disease epidemic model and the application of epistemic practices i... by Susan A. Yoon, Clark Chinn, Noora Noushad, Thomas Richman, Huma Hussain-Abidi, Kyle Hunkar, Amanda Cottone, Jacqueline Katz, Erika Mitkus, Daniel Wendel

“…The research reported here follows more than a decade of work using agent-based computational models to support the comprehension and analysis of complex biological systems. …”
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