AI analysis reveals top predictors of first grade success: Insights from multifactorial screening students’ early days of school by Pedro Bem-Haja, Paulo Nossa, Andreia J. Ferreira, Diogo S. Pereira, Carlos F. Silva

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Developing and validating measures for AI literacy tests: From self-reported to objective measures by Thomas K.F. Chiu, Yifan Chen, King Woon Yau, Ching-sing Chai, Helen Meng, Irwin King, Savio Wong, Yeung Yam

“…International assessment programs that use objective measures to assess science, mathematical, digital, and computational literacy back up this argument. …”
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Mindfulness-based approaches to problematic technology use: A scoping review by Justin Thomas, Fahad Al-Beyahi, Michelle Colder Carras, Dahlia Aljuboori, Saud Alomairah, Johannes Thrul

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Telemedicine career pursuance among nurses in healthcare business processing outsourcing industries from the Philippines: A task-technology fit and technology acceptance approach by Ray Ver V. Baldemor, Ardvin Kester S. Ong, Emmillie Joy B. Mejia, John Francis T. Diaz, Ma Janice J. Gumasing

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Cyber Security Awareness on Social Media: Knowledge Sharing Among Orang Asli Students by Palaniappan Shamala, Muruga Chinniah, Shamsatun Nahar binti Ahmad, Lee Chang Kerk, Abd Malik Mohd Rick

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ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniques for Predicting Swelling Percentage of Expansive Soils by Mehdi Hashemi Jokar, Ali Heidaripanah

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Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy by Mauricio Moyano, Keiny Meza-Vasquez, Gonzalo Tello-Valenzuela, Nicolle Ojeda-Ortega, Carolina Lagos, Guillermo Cabrera-Guerrero

“…This approach allows for a more thorough solution for space exploration while maintaining computational efficiency. The rVNS, unlike traditional VNS algorithms, does not require any transition rule, as it integrates a set of predefined neighbourhood moves at each iteration. …”
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Dual threat: Susceptibility mechanisms and treatment strategies for COVID-19 and bacterial co-infections by Keda Chen, Ruiqi Weng, Jiaxuan Li, Hao Wu, Xiaotian Tie, Hongyu Li, Yuanyuan Zhang

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Analyzing and Rewarding Credit Card Spending Habits in India: a Machine Learning Approach by Renuka Agrawal, Aryan Khanna, Safa Hamdare

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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

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MASIP: A Methodology for Assets Selection in Investment Portfolios by José Purata-Aldaz, Juan Frausto-Solís, Guadalupe Castilla-Valdez, Javier González-Barbosa, Juan Paulo Sánchez Hernández

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Melanin/PEDOT:PSS organic synaptic transistors: a step towards sustainable neuromorphic applications by Natan L Nozella, Guilherme S Selmi, Nayrim B Guerra, Marcelo R Piton, Carlos F O Graeff, Rafael F de Oliveira

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ReproPhylo: An Environment for Reproducible Phylogenomics. by Amir Szitenberg, Max John, Mark L Blaxter, David H Lunt

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Interkinetic nuclear movements promote apical expansion in pseudostratified epithelia at the expense of apicobasal elongation. by Marina A Ferreira, Evangeline Despin-Guitard, Fernando Duarte, Pierre Degond, Eric Theveneau

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Revisiting the "satisfaction of spatial restraints" approach of MODELLER for protein homology modeling. by Giacomo Janson, Alessandro Grottesi, Marco Pietrosanto, Gabriele Ausiello, Giulia Guarguaglini, Alessandro Paiardini

“…In this work, we have explored the idea of modifying MODELLER with two effective, yet computationally light strategies to improve its 3D modeling performance. …”
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TwinCons: Conservation score for uncovering deep sequence similarity and divergence. by Petar I Penev, Claudia Alvarez-Carreño, Eric Smith, Anton S Petrov, Loren Dean Williams

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Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design by Wei Gao

“…The example results show that when using the designed shear wall design program for scheme design, the success rate reaches 100 %, which is 38.47 % higher than the original particle swarm optimization algorithm. …”
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Practical Approaches for Detecting Selection in Microbial Genomes. by Jessica Hedge, Daniel J Wilson

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BETASCAN: probable beta-amyloids identified by pairwise probabilistic analysis. by Allen W Bryan, Matthew Menke, Lenore J Cowen, Susan L Lindquist, Bonnie Berger

“…The program then determines the strands and pairs with the greatest local likelihood for all of the sequence's potential beta-structures. …”
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Cell type specific alterations in interchromosomal networks across the cell cycle. by Andrew J Fritz, Branislav Stojkovic, Hu Ding, Jinhui Xu, Sambit Bhattacharya, Ronald Berezney

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