Application of Bidirectional Generative Adversarial Networks to Predict Potential miRNAs Associated With Diseases by Long Xu, Xiaokun Li, Xiaokun Li, Qiang Yang, Long Tan, Qingyuan Liu, Yong Liu

“…Researchers began to focus on constructing computational models to facilitate the progress of disease pathology and clinical medicine by identifying the potential disease-related miRNAs. …”
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The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation. by Alice Bruel, Ignacio Abadía, Thibault Collin, Icare Sakr, Henri Lorach, Niceto R Luque, Eduardo Ros, Auke Ijspeert

“…We provide an exploratory framework by integrating biologically plausible cerebellar and SC computational models in a musculoskeletal upper limb control loop. …”
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Functional Characterization of Lycopene β- and ε-Cyclases from a Lutein-Enriched Green Microalga <i>Chlorella sorokiniana</i> FZU60 by Hong Fang, Junjie Liu, Ruijuan Ma, Yiping Zou, Shih-Hsin Ho, Jianfeng Chen, Youping Xie

“…A sequence analysis and computational modeling of CsLCYB and CsLCYE were performed using bioinformatics to identify the key structural domains. …”
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Predicting the effect of variants on splicing using Convolutional Neural Networks by Thanyathorn Thanapattheerakul, Worrawat Engchuan, Jonathan H. Chan

“…Mutations that cause an error in the splicing of a messenger RNA (mRNA) can lead to diseases in humans. Various computational models have been developed to recognize the sequence pattern of the splice sites. …”
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Hybrid-Pattern Recognition Modeling with Arrhythmia Signal Processing for Ubiquitous Health Management by Wei-Ting Hsiao, Yao-Chiang Kan, Chin-Chi Kuo, Yu-Chieh Kuo, Sin-Kuo Chai, Hsueh-Chun Lin

“…The self-developed system with AI computation modeling can be the backend of the intelligent social-health system that can recognize hybrid arrhythmia patterns in the UHM and home-isolated cares.…”
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Development of a hybrid LSTM with chimp optimization algorithm for the pressure ventilator prediction by Fatma Refaat Ahmed, Samira Ahmed Alsenany, Sally Mohammed Farghaly Abdelaliem, Mohanad A. Deif

“…This analysis was conducted utilizing a sophisticated computational model referred to as Long Short-Term Memory (LSTM). …”
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Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows by Alexander I. Legalov, Ivan V. Matkovskii, Mariya S. Ushakova, Darya S. Romanova

“…A statically typed version of the data driven functional parallel computing model is proposed. It enables a representation of dynamically changing parallelism by means of asynchronous serial data flows. …”
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130 Developing a Conceptual Data Model for Nursing Workload by Victoria L. Tiase, Katherine A. Sward, Julio Facelli

“…OBJECTIVES/GOALS: Nurses are leaving the profession at an alarming rate due to increased workload and burnout.#_msocom_1 Computational models that are reliable and reproducible are needed to quantitatively examine nursing workload and estimate potential effect of interventions. …”
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Application of Soft Computing, Statistical and Multi-Criteria Decision-Making Methods to Develop a Predictive Equation for Prediction of Flyrock Distance in Open-Pit Mining by Mohammad Babaeian, Farhang Sereshki, Mohammad Ataei, Micah Nehring, Sadjad Mohammadi

“…For this purpose, soft computing models were developed using generalized regression neural network (GRNN), gene expression programming (GEP) and genetic-algorithm-based GRNN (GA-GRNN) methods. …”
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Measurement of the coupling coordination relationship between the structures of secondary vocational school programs and industries in China by Qinglong Zhan, Guo Li, Wenjie Zhan

“…To address this research gap, this paper uses the perspective of coupling and coordination to build a conceptual framework and a computation model to measure the relationship between the two. …”
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Managing an Agent's Self-Presentational Strategies During an Interaction by Beatrice Biancardi, Maurizio Mancini, Paul Lerner, Paul Lerner, Catherine Pelachaud

“…In this paper we present a computational model for managing the impressions of warmth and competence (the two fundamental dimensions of social cognition) of an Embodied Conversational Agent (ECA) while interacting with a human. …”
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Testing the Robustness of JAYA Optimization on 3D Surface Alignment of Range Images: A Revised Computational Study by Jose Santamarialopez

“…On the other hand, algorithms rooted in evolutionary theories in nature-inspired computational models such as Evolutionary Computing (EC), have gained in importance over the past two decades. …”
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Prediction of small molecule drug-miRNA associations based on GNNs and CNNs by Zheyu Niu, Xin Gao, Zhaozhi Xia, Shuchao Zhao, Hongrui Sun, Heng Wang, Meng Liu, Xiaohan Kong, Chaoqun Ma, Huaqiang Zhu, Hengjun Gao, Qinggong Liu, Faji Yang, Xie Song, Jun Lu, Xu Zhou

“…Due to the time-consuming and expensive biological experiments required to validate SM-miRNA associations, there is an urgent need to develop new computational models to predict novel SM-miRNA associations. …”
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Oxide Emissions Reduction from Combustion Control in a Diesel Engine by V. L. Chumakov, S. N. Devyanin

“…(Results and discussion) Using the computational model, the authors estimated the parameters at different pressures at the engine inlet within 0.05-0.09 megapascals, as well as with an increase in the residual gas coefficient in the range of 5-15 percent with a decrease in the concentration of nitrogen oxides from 2500 to 1100 parts per million. …”
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Novel Insights into the Thioesterolytic Activity of <i>N</i>-Substituted Pyridinium-4-oximes by Blaženka Foretić, Vladimir Damjanović, Robert Vianello, Igor Picek

“…The complete mechanism is presented by the free energy reaction profiles obtained with (CPCM)/M06–2X/6–311++G(2df,2pd)//(CPCM)/M06–2X/6–31+G(d) computational model. The comparison of the observed rates of AcSCh⁺ oximolytic cleavage and both competitive AcSCh⁺ and consecutive pyridinium-4-oxime-ester hydrolytic cleavage revealed that the pyridinium-4-oximes cannot be classified as non-enzyme catalyst of the AcSCh⁺ hydrolysis but as the very effective esterolytic agents.…”
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Elemental composition and speciation trends in Upper Mazowe River, a typical sub-tropical river ecosystem impacted by gold mining and agriculture in Zimbabwe by Naume Tivirayi Mandizha, Jameson Kugara, Edwin T. Mombeshora, Mark Fungayi Zaranyika

“…This study focused on water and sediment speciation of Al, As, Cu, Hg, Mn, Fe, and Pb using Visual MINTEQ Version 3.1 computer modelling and sequential extraction techniques. …”
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Integrated CFD-FEM approach for external gear pump vibroacoustic field prediction by Cristian Ferrari, Serena Morselli, Giuseppe Miccoli, Karim Hamiche

“…The purpose of this study is to propose a three-dimensional fully integrated computational model to simulate the complete gear pump behaviour from the fluid dynamics to the structural vibrations, up to the vibroacoustic response. …”
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Modelling and analysis of the complement system signalling pathways: roles of C3, C5a and pro-inflammatory cytokines in SARS-CoV-2 infection by Didar Murad, Rehan Zafar Paracha, Muhammad Tariq Saeed, Jamil Ahmad, Ammar Mushtaq, Maleeha Humayun

“…Moreover, intervention in upregulation of PICyts by C5a was found productive in downregulation of all activating factors in the normal SCCs. However, the computational model predictions require experimental studies to be validated by exploring the activation role of C3 and C5a which could change levels of PICyts at various phases of SARS-CoV-2 infection.…”
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Machine Learning Composite-Nanoparticle-Enriched Lubricant Oil Development for Improved Frictional Performance—An Experiment by Ali Usman, Saad Arif, Ahmed Hassan Raja, Reijo Kouhia, Andreas Almqvist, Marcus Liwicki

“…The ANN showed the best prediction performance among all ML models, with 2.22 × 10⁻³ RMSE, 4.92 × 10⁻⁶ MSE, 2.1 × 10⁻³ MAE, and 0.99 R². The computational models’ performance curves for the different nanoparticles and how the composition affects the interface were investigated. …”
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ENGINEERING METHODOLOGY FOR DESIGNING POWER-SUPPLY SYSTEMS OF AUTONOMOUS ENERGY EFFICIENT BUILDINGS BASED ON RENEWABLE ENERGY SOURCES by Sergey G. Obukhov, Denis Yu. Davydov, Alexey O. Beloglazkin

“…Methods: methods of statistical processing of time series of data, mathematical and computer modeling using the MatLab/Simulink software environment. …”
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