State of The Art Review: Building Computational Thinking on Science Education by Y. I. Tanjung, M. Azhar, A. Razak, Y. Yohandri, F. Arsih, T. Wulandari, B. Nasution, R. H. Lubis

“…Whereas from a state-of-the-art review of the stages of building CT, it was found that the stages of task decomposition, abstraction, generalization, data structures and algorithms were considered to optimalize the CT construction for science students. …”
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Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies by Manochandar Subramaniyan, Thiruppathy Kesavan Venkatasamy, Nithya Thotakuruchi Mathiyalagan, Md. Jakir Hossen

“…Optimizing resource utilization, mitigating interference, and enhancing dependability in ISC systems are achieved using ARAR-IS, which leverages cognitive routing algorithms and software program-defined networking ideas. …”
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Using network component analysis to dissect regulatory networks mediated by transcription factors in yeast. by Chun Ye, Simon J Galbraith, James C Liao, Eleazar Eskin

“…The software package implementing the algorithms discussed in this work is available as a MATLAB package upon request.…”
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Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network by Hieu Giang Le, Thanh-Phong Dao, Minh Phung Dang, Thao Nguyen-Trang

“…Abstract Compliant mechanism has some advantages and has been widely applied in many accurate positioning systems. However, modeling the compliant mechanism behavior has suffered from many challenges, such as unstable results, and the limitation of training data set. …”
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Proposing Hybrid Architecture to Implement Cloud Computing in Higher Education Institutions Using a Meta-synthesis Appro by hamid reza bazi, ali moeini, alireza hasanzadeh

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A beginner’s approach to deep learning applied to VS and MD techniques by Stijn D’Hondt, José Oramas, Hans De Winter

“…Abstract It has become impossible to imagine the fields of biochemistry and medicinal chemistry without computational chemistry and molecular modelling techniques. In many steps of the drug development process in silico methods have become indispensable. …”
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Enhancing diabetic retinopathy detection through federated convolutional neural networks: Exploring different stages of progression by Saad Alanazi, Rayan Alanazi

“…This paper presents a comprehensive solution for DR identification utilizing deep learning algorithms. To reduce class imbalance and strengthen this model, we first prepare unbalanced data utilizing the Synthetic Minority Oversampling Technique (SMOTE). …”
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A Federated Learning-Based Framework for Accurately Identifying Human Activity in the Environment by Nwadher Suliman Al-Blihed, Dina M. Ibrahim

“…Machine learning (ML) has contributed to recording many human activities and plays a meaningful role in Human Activity Recognition. …”
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Recent Tools of Software-Defined Networking Traffic Generation and Data Collection by Tabarak Khudhair, Omar Athab

“…This advantage of SDN comes because of its separation of the control plane from the data plane. Although many studies have focused on SDN management, monitoring, control and improving quality of service, only a few are focused on presenting what is used to generate traffic and collect data. …”
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Unsupervised Action Anticipation Through Action Cluster Prediction by Jiuxu Chen, Nupur Thakur, Sachin Chhabra, Baoxin Li

“…Apart from the action anticipation method, we propose an innovative evaluation scheme GreedyMapper, a unique many-to-one mapping scheme that provides a practical solution to the many-to-one mapping challenge, a task that existing mapping algorithms struggle to address. …”
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Conjugate gradient neural network in prediction of clay behavior and parameters sensitivities by Hamed Memarian fard

“…The use of artificial neural networks has increased in many areas of engineering. In particular, this method has been applied to many geotechnical engineering problems and demonstrated some degree of success. …”
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A quantum random access memory (QRAM) using a polynomial encoding of binary strings by Priyanka Mukhopadhyay

“…Abstract Quantum algorithms claim significant speedup over their classical counterparts for solving many problems. …”
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Complete blood count reference intervals from a healthy adult urban population in Kenya. by Geoffrey Omuse, Daniel Maina, Jane Mwangi, Caroline Wambua, Kiran Radia, Alice Kanyua, Elizabeth Kagotho, Mariza Hoffman, Peter Ojwang, Zul Premji, Kiyoshi Ichihara, Rajiv Erasmus

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Integrating machine learning models with multi-omics analysis to decipher the prognostic significance of mitotic catastrophe heterogeneity in bladder cancer by Haojie Dai, Zijie Yu, You Zhao, Ke Jiang, Zhenyu Hang, Xin Huang, Hongxiang Ma, Li Wang, Zihao Li, Ming Wu, Jun Fan, Weiping Luo, Chao Qin, Weiwen Zhou, Jun Nie

“…Results Our efforts culminated in the establishment of an accurate prognostic model containing 16 genes based on Coxboost as well as the Random Survival Forest (RSF) algorithm. Detailed analysis from multiple perspectives revealed a strong link between model scores and many key indicators: pathway activation, immune infiltration landscape, genomic variant landscape, and personalized treatment. …”
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Lipoprotein (a) levels and clinical decision-making: data from a Mexican cohort at a tertiary medical institution by Ivette Cruz-Bautista, Yuscely Flores-Jurado, Guillermo Roa-Álvarez, Mariana Salas-Aldana, Daniel Benjamin Elías-Lopez, Ricardo Federico Hernández-Franco, Sandra Rosales-Uvera, Arsenio Vargas-Vázquez, Raymundo Valdez-Echeverría, Sonia Luna del Villar Velasco, Liliana Muñoz-Hernández, Roopa Mehta, Mario Morales-Esponda, Misael Aguilar-Panduro, Guillermo Chan-Puga, Adrián Soto Mota, Carlos Alberto Aguilar-Salinas

“…Abstract Background and objective Approximately 20% of the global population has a Lp(a) concentrations above 50 mg/dL (> 125nmol/L), yet many remain unaware of the associated cardiovascular risks. …”
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Cooking behaviors are related to household particulate matter exposure in children with asthma in the urban East Bay Area of Northern California. by Stephanie M Holm, John Balmes, Dan Gillette, Kris Hartin, Edmund Seto, David Lindeman, Dianna Polanco, Edward Fong

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Close encounters between infants and household members measured through wearable proximity sensors. by Laura Ozella, Francesco Gesualdo, Michele Tizzoni, Caterina Rizzo, Elisabetta Pandolfi, Ilaria Campagna, Alberto Eugenio Tozzi, Ciro Cattuto

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Comparative assessment of efficacy and toxicity of R-DA-EPOCH and R-mNHL-BFM-90 induction courses in the treatment of patients with diffuse large B-cell lymphoma with poor prognost... by M. O. Bagova, A. U. Magomedova, S. K. Kravchenko, Ya. K. Mangasarova, O. V. Margolin, E. S. Nesterova, L. G. Gorenkova, A. E. Misyurina, E. A. Fastova, F. E. Babaeva, K. A. Sychevskaya, S. M. Kulikov, Yu. A. Chabaeva, V. G. Savchenko

“…Despite the frequency of occurrence, there is no single algorithm for treating DLBCL patients with poor prognostic factors. …”
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Cluster randomised controlled trial of screening for atrial fibrillation in people aged 70 years and over to reduce stroke: protocol for the pilot study for the SAFER trial by Martin R Cowie, Stephen Morris, Gregory Lip, Richard J McManus, Stephen Sutton, Jonathan Mant, Simon J Griffin, Sarah Hoare, Jenni Burt, Rachel Johnson, Mark Lown, Alison Powell, Natalie Armstrong, FD Richard Hobbs, Trudie Lobban, Rakesh Narendra Modi, Ben Freedman, David A Fitzmaurice, Stephen Kaptoge, Jenny Lund, Duncan Edwards, Kate Williams, H Thom, Francesco Fusco, Michael J Sweeting, Andrew Dymond, The SAFER Authorship Group

“…Cardiologists remotely confirm episodes of AF identified by the device algorithm, and general practitioners follow-up with anticoagulation as appropriate. …”
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The VOICE study - A before and after study of a dementia communication skills training course. by Rebecca O'Brien, Sarah E Goldberg, Alison Pilnick, Suzanne Beeke, Justine Schneider, Kate Sartain, Louise Thomson, Megan Murray, Bryn Baxendale, Rowan H Harwood

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