Chord Types and Figuration: A Bayesian Learning Model of Extended Chord Profiles by Christoph Finkensiep, Petter Ericson, Sebasian Klassmann, Martin Rohrmeier

“…To this end, we develop a computational model of chord types that distinguishes chord tones and “figuration tones” and can be learned using Bayesian inference following methods in computational cognitive science. …”
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Analysis of the Frost-Induced Damage of Building Enclosures on the Territory of the Czech Republic by Jan Kočí, Jiří Maděra, Vojtěch Pommer, Robert Černý

“…The exterior boundary conditions of the computational model are defined by a set of weather data characterizing the environmental conditions in the Czech Republic, which are acquired from 64 weather stations. …”
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Modern approaches to artificial gene synthesis: aspects of oligonucleotide synthesis, enzymatic assembly, sequence verification and error correction by G. Y. Shevelev, D. V. Pyshnyi

“…Synthetic biology accumulates the achievements of modern biological sciences, programming and computational model­ing as well as engineering technologies for creation of biologi­cal objects with user-defined properties. …”
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Temperature and Stress Evaluation during Three Different Phases of Friction Stir Welding of AA 7075-T651 Alloy by Kareem N. Salloomi, Furat I. Hussein, Sanaa N. M. Al-Sumaidae

“…To validate the computational model results, an experimental procedure was carried out to measure temperature history on both sides of the specimen as well as the plunging force throughout the whole process time. …”
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Numerical analysis model for the instantaneous grinding temperature of face gears with a worm grinding wheel by WANG Chao, GUO Hui, RUAN Yuhang, RAN Xiaoping, ZHAO Ning

“…In order to improve the situation, a numerical computational model for the instantaneous grinding temperature of face gears with a worm grinding wheel was established to investigate the distribution and variation patterns of the grinding temperature.MethodsFirstly, based on the geometric contact characteristics between the face gear and the worm grinding wheel during the grinding process, a quadratic surface was employed to approximate the instantaneous contact region and derive a calculation formula for the instantaneous grinding contact area. …”
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Design Guidelines for Fractional Order Cascade Control in DC Motors: A Computational Analysis on Pairing Speed and Current Loop Orders Using Oustaloup’s Recursive Method by Marta Haro-Larrode, Alvaro Gomez-Jarreta

“…This paper develops a computational model for fractional-order cascade control of DC motor speed (external) and current (internal) loops to derive appropriate combinations of internal and external fractional orders. …”
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m5C‐TNKmer: Identification of 5‐Methylated Base Cytosine of Ribonucleic Acid Using Supervised Machine Learning Techniques by Shahid Qazi, Dilawar Shah, Mohammad Asmat Ullah Khan, Shujaat Ali, Mohammad Abrar, Asfandyar Khan, Muhammad Tahir

“…This study introduces a novel computational model m5C‐TNKmer, which utilizes k‐mer feature extraction to enhance the identification of m5C sites in RNA sequences. …”
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Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer by Niki Tavakoli, Emma J. Fong, Abigail Coleman, Yu-Kai Huang, Mathias Bigger, Michael E. Doche, Seungil Kim, Heinz-Josef Lenz, Nicholas A. Graham, Paul Macklin, Stacey D. Finley, Shannon M. Mumenthaler

“…This process involved a novel machine learning-based method to computationally screen, in a high-throughput manner, the effects of enzyme perturbations predicted by a computational model of CRC metabolism. This approach reveals the network-wide effects of metabolic perturbations. …”
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Modelling sensory attenuation as Bayesian causal inference across two datasets. by Anna-Lena Eckert, Elena Fuehrer, Christina Schmitter, Benjamin Straube, Katja Fiehler, Dominik Endres

“…The sensory consequences of one's own movements tend to induce attenuated behavioral- and neural responses compared to externally generated inputs. We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred.…”
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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…To achieve low-frequency absorption within a limited spatial volume, this study proposes an embedded Helmholtz resonator featuring a roughened neck and establishes a numerical computational model that incorporates thermos viscous effects. …”
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Numerical Investigation on Charging–Discharging of a PCM Using PV and Thermal Oil for Injera Baking Application by Meseret Alemu Abinet, Abdulkadir A. Hassen, G. Gashaw

“…A numerical simulation was conducted using a finite-difference computational model for the thermal storage containing PCM and thermal oil. …”
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Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields. by Shoutik Mukherjee, Behtash Babadi, Shihab Shamma

“…We propose estimating receptive fields in PEG with respect to a well-established high-dimensional computational model of primary-cortical stimulus representations. …”
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Towards a new spatial representation of bone remodeling by Jason M. Graham, Bruce P. Ayati, Prem S. Ramakrishnan, James A. Martin

“…We exhibit simulations based on our computational model that show the motion of the interface between bone and marrow as a consequence of bone remodeling. …”
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On Modeling Agent Behavior Change Through Multi-Typed Information Diffusion in Online Social Networks by Masaaki Miyashita, Norihiko Shinomiya, Daisuke Kasamatsu, Genya Ishigaki

“…Therefore, this study introduces a computational model that combines subjective logic to represent opinion changes of individuals using multi-typed information and cumulative prospect theory to simulate individuals’ decision-making. …”
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Workload Comparison of Contemporary Interval Throwing Programs and a Novel Optimized Program for Baseball Pitchers by Brittany Dowling, Christopher M Brusalis, John T Streepy, Alexander Hodakowski, Patrick J Pauley, Dave Heidloff, Grant E Garrigues, Nikhil N Verma, Glenn S Fleisig

“…Finally, an original ITP was devised based upon a computational model that gradually increases ACWR over time and finished with an optimal chronic workload…”
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Exploring when to exploit: the cognitive underpinnings of foraging-type decisions in relation to psychopathy by D. V. Atanassova, J. M. Oosterman, A. O. Diaconescu, C. Mathys, V. I. Madariaga, I. A. Brazil

“…Recruitment of various cognitive processes was estimated with a computational model and electrophysiology, and the relationships to psychopathic traits were assessed. …”
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Characteristics and circulation of archipelagic waters with the three-dimensional hydrodynamic model approach by Suhaemi ., D.G. Bengen, C.P.H. Simanjuntak, A.F. Koropitan

“…A three-dimensional computational model was performed using MIKE3.FINDINGS: The water mass around the Misool Islands are more influenced by the local oceanographic processes than the water masses from the Pacific Ocean. …”
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MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage by Xiong You, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, Shusu Feng

“…This study presents a computational model utilizing machine learning techniques to predict genes in Chinese cabbage that respond to four abiotic stresses: cold, heat, drought, and salt. …”
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Prediction of miRNA-circRNA Associations Based on k-NN Multi-Label with Random Walk Restart on a Heterogeneous Network by Zengqiang Fang, Xiujuan Lei

“…Second, our proposed KRWRMC is the first computational model to calculate large numbers of miRNA-circRNA associations, which can be regarded as biomarkers to diagnose certain diseases and can thus help us to better understand complicated diseases. …”
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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models by Ayesha Karim, Nashwan Alromema, Sharaf J Malebary, Faisal Binzagr, Amir Ahmed, Yaser Daanial Khan

“…The objective of this study is to develop a computational model that predicts ASD driver genes in the early stages using genomic data, aiming to enhance early diagnosis and intervention. …”
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