Promoting a valid question model for measuring computational thinking skills based on confirmatory factor analysis and Rasch model by Didik Setyawarno, Maryati, Ismail Fikri Natadiwijaya

“…The fundamental dimensions of computational thinking, consisting of decomposition, pattern recognition, abstraction, and algorithms, can be firmly integrated into learning assessments.…”
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Study on the Nomogram Model Based on Dual-energy Computed Tomography for Predicting Lymph Node Metastasis in Papillary Thyroid Carcinoma by Bo GAO, Jingbin ZHANG, Huizhi MI, Haiqiao SUN, Xiaohui LI, Jiaxing WU, Kexin ZHANG, Shaotong WANG, Xuan SU, Xinyue CUI

“…Objective: This study aimed to evaluate the effectiveness of a nomogram model based on dual-energy computed tomography (CT) quantitative parameters combined with clinical information for distinguishing metastatic from non-metastatic lymph nodes in patients with papillary thyroid carcinoma (PTC). …”
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Assessing seventh-grade students' computational thinking skills through problem-based learning: Focus on integer addition and subtraction by Hapizah Hapizah, Anadia Muli Mariela, Budi Mulyono

“…This study aims to evaluate students' computational thinking skills based on the indicators of decomposition, pattern recognition, abstraction, and algorithmic thinking following the implementation of computational thinking-based learning using the Problem-based Learning (PBL) model, specifically on integer addition and subtraction. …”
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Computational antidiabetic assessment of Salvia splendens L. polyphenols: SMOTE, ADME, ProTox, docking, and molecular dynamic studies by Hatun A. Alomar, Wafaa M. El Kady, Asmaa A. Mandour, Amany A. Naim, Neveen I. Ghali, Taghreed A. Ibrahim, Noha Fathallah

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Anteromedial facet coronoid fractures: an algorithmic approach for assessment and management based on 3 dimensional computed tomography humeral subtraction by Armin Badre, MD, MSc, FRCSC, Moayd Abdullah H. Awad, MBBS, FRCSC, Robert Chan, MD, MSc, FRCSC, Michael Lapner, MD, FRCSC

“…We hypothesized that a detailed assessment of the pattern of AMF fracture utilizing three-dimensional computed tomography with digital subtraction of the humerus allows for a reliable treatment algorithm to avoid over- or under-treatment of these complex injuries. …”
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms. by Hamed Khodadadi, Shima Nazem

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Predicting damage in notched functionally graded materials plates through extended finite element method based on computational simulations by Hakim Siguerdjidjene, Amin Houari, Kouider Madani, Salah Amroune, Mohamed Mokhtari, Barhm Mohamad, Chellil Ahmed, Abdelkrim Merah, Raul D.S.G. Campilho

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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

“…The model is highly computational and energy efficient, incorporating path-breaking Edge Computing and Real-Time Stream Processing paradigms, facilitating low-latency identification of highly dynamic advanced attacks like APTs and DDoS. …”
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Predicting Damage in Notched Functionally Graded Materials Plates through extended Finite Element Method based on computational simulations by Hakim Siguerdjidjene, Amin Houari, Kouider Madani, Salah Amroune, Mohamed Mokhtari, Barhm Mohamad, Chellil Ahmed, Abdelkrim Merah, Raul Campilho

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Diagnostic accuracy of magnetic resonance, computed tomography and contrast enhanced ultrasound in radiological multimodality assessment of peribiliary liver metastases. by Vincenza Granata, Roberta Fusco, Orlando Catalano, Antonio Avallone, Raffaele Palaia, Gerardo Botti, Fabiana Tatangelo, Francesco Granata, Marco Cascella, Francesco Izzo, Antonella Petrillo

“…<h4>Purpose</h4>We compared diagnostic performance of Magnetic Resonance (MR), Computed Tomography (CT) and Ultrasound (US) with (CEUS) and without contrast medium to identify peribiliary metastasis.…”
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Visibility of Intracranial Perforating Arteries Using Ultra-High-Resolution Photon-Counting Detector Computed Tomography (CT) Angiography by Takashi Okazaki, Tetsu Niwa, Ryoichi Yoshida, Takatoshi Sorimachi, Jun Hashimoto

“…<b>Background/Objectives:</b> Photon-counting detector computed tomography (PCD-CT) offers energy-resolved CT data with enhanced resolution, reduced electronic noise, and improved tissue contrast. …”
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Computational drug discovery of potential 5α-reductase phytochemical inhibitors and hair growth promotion using in silico techniques by Behnam Hasannejad-Asl, Behnam Hasannejad-Asl, Farkhondeh Pooresmaeil, Sareh azadi, Ali Najafi, Ali Esmaeili, Saeid Bagheri-Mohammadi, Bahram Kazemi

“…IntroductionMale pattern hair loss (MPHL), also known as androgenetic alopecia (AGA), is a common disorder primarily caused by dihydrotestosterone (DHT). …”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

“…We categorised the computer vision platform into four technologies: image processing, object/pattern recognition, computer graphics, and deep learning. …”
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RiverBedDynamics v1.0: a Landlab component for computing two-dimensional sediment transport and river bed evolution by A. D. Monsalve, S. R. Anderson, N. M. Gasparini, E. M. Yager

“…<p>Computational landscape evolution models (LEMs) typically comprise at least two interacting components: a flow hydraulic solver that routes water across a landscape and a fluvial geomorphological model that modifies terrain properties, primarily bed surface elevation. …”
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A case study of the energy performance of A-J hostel block in IIM, Bangalore by Kirti Nikam, Akash KB

“…This research focuses on hostel buildings in Bangalore, India, a city known for its technological and educational excellence. Using advanced computational analysis and simulation tools such as Autodesk 2024 Revit and Insight, the study evaluates current energy consumption patterns and proposes optimization strategies. …”
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Microsaccade selectivity as discriminative feature for object decoding by Salar Nouri, Amirali Soltani Tehrani, Niloufar Faridani, Ramin Toosi, Jalaledin Noroozi, Mohammad-Reza A. Dehaqani

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ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering by Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani

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Parsimonious Model of Vascular Patterning Links Transverse Hormone Fluxes to Lateral Root Initiation: Auxin Leads the Way, while Cytokinin Levels Out. by Sedeer el-Showk, Hanna Help-Rinta-Rahko, Tiina Blomster, Riccardo Siligato, Athanasius F M Marée, Ari Pekka Mähönen, Verônica A Grieneisen

“…Furthermore, our model shows that such a pattern is not required for correct and robust auxin patterning. …”
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A novel cluster of improved frilled lizard optimization and multi-ladder gated networks for the detection of cyber-attacks in computer networks by Vandana Dharmapuri, Sushama Rani Dutta

“…These methods are utilized to create an intelligent framework structured to defend against both known and unknown threat patterns. The proposed ML-GNUs are used for differentiating diverse attack patterns, and the improved frilled lizard technique is employed to tune the model’s hyper-parameters, reducing computational overhead and enhancing detection performance. …”
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Early feeding and growth pattern in infants: Using a three-variate longitudinal model derived from Gaussian copula function by Kambiz Ahmadi Angali, Mohammad Sadegh Loeloe, Mohammad Reza Akhoond, Alireza Daneshkhah, Fatemeh Borazjani

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