Merging the computational design of chimeric type I polyketide synthases with enzymatic pathways for chemical biosynthesis by Yash Chainani, Jacob Diaz, Margaret Guilarte-Silva, Vincent Blay, Quan Zhang, William Sprague, Keith E. J. Tyo, Linda J. Broadbelt, Aindrila Mukhopadhyay, Jay D. Keasling, Hector Garcia Martin, Tyler W. H. Backman

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Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach by Przemysław Sekuła, Narjes Shayesteh, Qinglian He, Sara Zahedian, Rodrigo Moscoso, Michał Cholewa

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Efficient computation using spatial-photonic Ising machines with low-rank and circulant matrix constraints by Richard Zhipeng Wang, James S. Cummins, Marvin Syed, Nikita Stroev, George Pastras, Jason Sakellariou, Symeon Tsintzos, Alexis Askitopoulos, Daniele Veraldi, Marcello Calvanese Strinati, Silvia Gentilini, Davide Pierangeli, Claudio Conti, Natalia G. Berloff

“…We explore the practical benefits of the low-rank approximation in optimisation tasks, particularly in financial optimisation, to demonstrate the real-world applications of SPIMs. Finally, we evaluate the computational limitations imposed by SPIM hardware precision and suggest strategies to optimise the performance of these systems within these constraints.…”
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Identification of natural FtsZ inhibitors through computational approaches to combat drug-resistant tuberculosis by Rajkamal Bharti, Shruti Mishra, Achyut Pandey

“…The Mycobacterial cell division protein FtsZ is a promising target for addressing multidrug-resistant tuberculosis (MDR-TB). We employed computational strategies to screen a large library of natural compounds for FtsZ inhibitors. …”
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Computational Study on the Separation of Pentane Isomers in Functionalized UiO-66 Metal-Organic Frameworks by Néstor Ariel Pérez-Chávez, Matias Rafti, Alberto Gustavo Albesa

“…This study employs advanced computational methods, including Grand Canonical Monte Carlo (GCMC) simulations and Molecular Dynamics (MD), to systematically investigate the adsorption and separation of pentane isomers (n-pentane, isopentane, and neopentane) in the UiO-66 MOF family. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

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A novel computer-aided diagnostic approach for detecting peripheral arterial disease in patients with diabetes. by Eva Elina Buschmann, Lulu Li, Michèle Brix, Andreas Zietzer, Philipp Hillmeister, Andreas Busjahn, Peter Bramlage, Ivo Buschmann

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Quantitative study of the effect of tissue microstructure on contraction in a computational model of rat left ventricle. by Valentina Carapella, Rafel Bordas, Pras Pathmanathan, Maelene Lohezic, Jurgen E Schneider, Peter Kohl, Kevin Burrage, Vicente Grau

“…We studied the effect of microstructure on contraction in a computational model of rat left ventricular electromechanics. …”
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Algorithm for using dual energy computed tomography to determine chemical composition: A feasibility study. by Dong Hyeok Choi, So Hyun Ahn, Kwangwoo Park, Min Cheol Han, Jin Sung Kim

“…Using dual-energy computed tomography (CT), this study aims to develop an algorithm to identify the chemical constituents of an unknown material (compound or mixture) and improve the accuracy of material discrimination. …”
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Computational Algorithms for Representing Aircraft Instruments with Barometric Physics (Numerical Methods Applied to Flight Simulation) by Adan Ramirez-Lopez

“…The present work describes the development of a graphical environment to represent typical flight instruments on a computer screen. The instruments’ behavior is displayed according to information regarding the aircraft’s flight conditions. …”
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Rethinking the Bebras Challenge in Virtual Reality: Implementation and Usability Study of a Computational Thinking Game by Jelena Nakić, Ivana Rogulj, Lada Maleš

“…A comparative study was conducted to evaluate the usability of the developed game across two interface types: mobile devices and desktop computers. …”
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Use of eXIA 160 XL for Contrast Studies in Micro–Computed Tomography: Experimental Observations by Inneke Willekens, Nico Buls, Michel De Maeseneer, Tony Lahoutte, Johan de Mey

“…The distribution was analyzed by repeated micro–computed tomographic scans up to 48 hours after contrast administration. …”
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Optimizing Computational Process of High-Order Taylor Discontinuous Galerkin Method for Solving the Euler Equations by Meng Zhang, Kyosuke Yamamoto

“…Although Taylor Discontinuous Galerkin (TDG) schemes are renowned for their accuracy and stability, directly evaluating third-order tensor derivatives can significantly reduce computational efficiency, particularly for large-scale, intricate flow problems. …”
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Student’s Engagement Detection Based on Computer Vision: A Systematic Literature Review by Ikram Qarbal, Nawal Sael, Sara Ouahabi

“…As learning environments increasingly shift toward online and hybrid modes, understanding and monitoring student engagement through automated means has become an essential focus in educational technology. Computer vision techniques offer promising capabilities for detecting and interpreting student behaviors indicative of engagement. …”
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Computationally Efficient Transfer Learning Pipeline for Oil Palm Fresh Fruit Bunch Defect Detection by Yang Luo, Anwar P. P. Abdul Majeed, Zaid Omar, Saad Aslam, Yi Chen

“…The present study addresses the inefficiencies of the manual classification of oil palm fresh fruit bunches (FFBs) by introducing a computationally efficient alternative to traditional deep learning approaches that require extensive retraining and large datasets. …”
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Factors Influencing Differences Between Computed and Measured Ground Resistance Values for Horizontal Tape Electrodes by Usman Muhammad, Nurul Nadia Ahmad, Normiza Mohamad Nor, Fazlul Aman

“…This paper investigates the steady-state resistance (RDC) of copper tape electrodes across eight configurations. The study evaluates both field measurements and simulations using CDEGS at two distinct sites with varying soil characteristics. …”
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State information-driven surrogate-assisted differential evolution for computationally expensive constrained optimization problems by Zihua Zhu, Zan Yang, Zhiyong Liu, Liming Chen, Xiwen Cai

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Radiological and Morphometric Features of Canalis Sinuosus in Russian Population: Cone-Beam Computed Tomography Study by Avanesov Anatoly, Yuri Sedov, Evgeniya Gvozdikova, Oleg Mordanov, Liudmila Kruchinina, Karen Avanesov, Anna Vinogradova, Sergei Golub, Dalila Khaydar, Nguyen Giao Hoang, Hadi M. Darawsheh

“…Introduction. Cone-beam computed tomography (CBCT) is considered to be the most informative radiographic method for pre- and postoperative analysis of the maxillary anatomy and for avoiding further complication. …”
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Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling. by Federica Cuomo, Sara Roccabianca, Desmond Dillon-Murphy, Nan Xiao, Jay D Humphrey, C Alberto Figueroa

“…Given that such properties may evolve differentially as a function of region in cases of hypertension and aging, among other conditions, there is a need to evaluate the potential utility of cf-PWV as an early diagnostic of progressive vascular stiffening. …”
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Morphology and dimensions of the nasopalatine canal in Palestinian patients assessed using cone beam computed tomography by Khaled R. Beshtawi

“…Abstract The nasopalatine canal (NPC) is a key anatomical structure in maxillofacial surgery and dentistry, influencing surgical and dental procedures. This study evaluated the morphology, dimensions, and variations of the NPC in Palestinian patients using cone-beam computed tomography (CBCT). …”
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