Interdisciplinarity through internationality: Results from a US–Mexico graduate course bridging computational and plant science by Daniel H. Chitwood, Alejandra Rougon‐Cardoso, Robert VanBuren

“…We administered a survey over 4 years designed to evaluate student expertise. The first year of the survey included only US students and demonstrated that biology and computational student groups have distinct expertise but can learn the skills of the other group over the course of a semester. …”
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Dataflow-Driven Crowdsourcing: Relational Models and Algorithms by D. A. Ustalov

“…A synchronous algorithm for executing such workflows has been described. The computational model has been evaluated by applying it to two tasks from the computational linguistics field: concept lexicalization refining in electronic thesauri and establishing hierarchical relations between such concepts. …”
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Exploring Bioinformatics Solutions for Improved Leishmaniasis Diagnostic Tools: A Review by Natáli T. Capistrano Costa, Allana M. de Souza Pereira, Cibele C. Silva, Emanuelle de Oliveira Souza, Beatriz C. de Oliveira, Luiz Felipe G. R. Ferreira, Marcelo Z. Hernandes, Valéria R. A. Pereira

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High-resolution Solar Image Registration Using Unsupervised Deep Learning by Hao Zhang, Bo Liang, Xiaoli Yan, Song Feng, Ding Yuan, Yunfang Cai, Wei Dai

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Passive Rotor Noise Reduction Through Axial and Angular Blade Spacing Modulation by Chingiz Arystanbekov, Altay Zhakatayev, Basman Elhadidi

“…Aerodynamic propulsive thrust and efficiency are validated and evaluated using a Reynolds-averaged Navier–Stokes computational fluid dynamics (CFD) model for the two-bladed APC27x13 propeller. …”
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Failure Effects Evaluation for ATC Automation System by Rui Li, Zili Zhou, Yansong Cheng, Jianqiang Wang

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Lexicon-Based Sentiment Analysis of Teachers’ Evaluation by Quratulain Rajput, Sajjad Haider, Sayeed Ghani

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Automatic Evaluation of Information Ordering: Kendall's Tau by Mirella Lapata

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Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate magn... by Zhe Min, Fernando J. Bianco, Qianye Yang, Wen Yan, Ziyi Shen, David Cohen, Rachael Rodell, Dean C. Barratt, Yipeng Hu

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Rehabilitation and Motion Symmetry Analysis With a TACX Smart Cycling Trainer Using Computational Intelligence by Hana Charvatova, Daniel Martynek, Alexandra Molcanova, Ales Prochazka

“…Motion analysis provides important information in rehabilitation, performance evaluation, and movement symmetry assessment, with applications including neurology, biomedicine, surgery, and sports monitoring. …”
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Revolutionizing cancer treatment with Halomonas Aquamarina L-Glutaminase: insights from in vitro and computational studies by Sara Abdelsayed, Alaa Elmetwalli, Jihan Hassan, Mohamed O. Abdel Monem, Ali H. El-Far, Fuad Ameen, Mervat G. Hassan

“…These proof-of-concept findings indicate the preliminary anticancer potential of Halomonas-derived L-GLS and computational support for selective inhibitor development. …”
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“Keeleteadlane raputab lausemalle korpusest loendisse”: lausemallide automaatse tuvastamise esimesed sammud by Kertu Saul, Kadri Muischnek, Jelena Kallas

“…The study contributes significant insights for the computational processing of Estonian syntax and suggests further directions for the efficient representation of valency patterns.…”
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Antimicrobial Peptide Databases as the Guiding Resource in New Antimicrobial Agent Identification via Computational Methods by Bogdan Marczak, Aleksandra Bocian, Andrzej Łyskowski

“…An example candidate was further evaluated via a combination of structural analysis based on the computed homology based structural model, the in silico digestion of the source protein, and the antimicrobial potential.…”
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Research on cloud computing users’ public safety trust model based on scorecard-random forest by Shengli ZHOU, Canghong JIN, Lifa WU, Zheng HONG

“…Traditional cloud computing trust models mainly focused on the calculation of the trust of users’ behavior.In the process of classification and evaluation,there were some problems such as ignorance of content security and lack of trust division verification.Aiming to solve these problems,cloud computing users’ public safety trust model based on scorecard-random forest was proposed.Firstly,the text was processed using Word2Vec in the data preprocessing stage.The convolution neural network (CNN) was used to extract the sentence features for user content tag classification.Then,scorecard method was used to filter the strong correlation index.Meanwhile,in order to establish the users’ public safety trust evaluation model in cloud computing,a random forest method was applied.Experimental results show that the proposed users’ public safety trust evaluation model outperforms the general trust evaluation model.The proposed model can effectively distinguish malicious users from normal users,and it can improve the efficiency of the cloud computing users management.…”
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Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. by Mads L Pedersen, Maria Ironside, Ken-Ichi Amemori, Callie L McGrath, Min S Kang, Ann M Graybiel, Diego A Pizzagalli, Michael J Frank

“…Imbalances in this evaluation are thought to characterize mood disorders such as major depressive disorder (MDD). …”
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Computational analysis of curved prestressed concrete box-girder bridges using finite element method by Shubhi Ojha, Priyaranjan Pal, P. K. Mehta

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A mechanistic computational model of HGF-VEGF-mediated endothelial cell proliferation and vascular permeability by Rebeca Hannah de Melo Oliveira, Akash Patil, Brian H. Annex, Arvind P. Pathak, Aleksander S. Popel

“…To explore how these factors promote angiogenesis, we developed, calibrated, and validated a data-driven mechanistic computational model of HGF and VEGF signaling in endothelial cells (ECs). …”
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Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT by Fahim Sufi

“…This integration advances computational news classification and exemplifies how sophisticated mathematical frameworks enhance large-scale text data analysis, marking a pivotal advancement in applying advanced computational methods in real-world scenarios.…”
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Goat Milk Casein Peptides as Potential α-Amylase Inhibitors: A Computational and Experimental Approach by Gavriel Hagai Paulus Sumlang, Rumaisha Lale Handoyo, Marlyn Dian Laksitorini, Endang Astuti, Tri Joko Raharjo

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A Case Study of Computational Thinking Analysis Using SOLO Taxonomy in Scientific–Mathematical Learning by Alejandro De la Hoz Serrano, Andrés Álvarez-Murillo, Eladio José Fernández Torrado, Miguel Ángel González Maestre, Lina Viviana Melo Niño

“…Therefore, the SOLO taxonomy serves as a valuable resource in the evaluation of Computational Thinking skills.…”
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