Stratified heat generation in magnetohydrodynamics dissipative flow micropolar fluid through curved surface: A computational analysis by A.S. Arya, M.V.V.N.L. Sudharani, M. Gnaneswara Reddy, D G Prakasha, K. Ganesh Kumar

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Computational hybrid analysis of drug diffusion in three-dimensional domain with the aid of mass transfer and machine learning techniques by Mohammed Alqarni, Ali Alqarni

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A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques by Yuanyuan Wang, Fangfang Wang, Zixin Qin, Yongcheng Fu, Jingyue Wang, Shangkun Li, Da Zhang

“…Early diagnosis is essential for effective patient management. Computed tomography (CT) serves as a significant diagnostic tool for neuroblastoma, utilizing machine vision imaging, which offers advantages over traditional X-ray and ultrasound imaging modalities. …”
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A novel algorithm for streamlined surgeon-dominated patient-specific implant design in computer-assisted jaw reconstruction by Ankit Nayak, Jane Jingya PU, Xingna YU, Yu-Xiong Su

“…This study introduces a novel algorithm designed to streamline the traditionally intricate and time-consuming Computer-Aided Design (CAD) process for developing patient-specific implants (PSIs). …”
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CLINICAL EVALUATION OF THE MANIFESTATIONS OF INTERSTITIAL LUNG INJURYIN SYSTEMIC SCLERODERMA FROM HIGH-RESOLUTION COMPUTER T OMOGRAPHY DATA by L P Anan'eva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoytova, O V Desinova, L P Ananyeva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoitova, O V Desinova

“…Objective: to estimate the detection rate of interstitial lung injury (ILI) and to characterize its manifestations from high-resolution computed tomography (HRCT) data in patients with systemic scleroderma (SSD). …”
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Mapping the computational similarity of individual neurons within large-scale ensemble recordings using the SIMNETS analysis framework by Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Jacqueline B. Hynes, Jacqueline B. Hynes, David M. Brandman, Jonas B. Zimmermann, John P. Donoghue, John P. Donoghue, John P. Donoghue, John P. Donoghue

“…Here, we present the Similarity Networks (SIMNETS) analysis framework: an efficient and scalable pipeline designed to embed simultaneously recorded neurons into low dimensional maps according to the intrinsic relationship between their spike trains, making it possible to identify and visualize groups of neurons performing similar computations. The critical innovation is the use of pairwise spike train similarity (SSIM) matrices to capture the intrinsic relationship between the spike trains emitted by a neuron at different points in time (i.e., different experimental conditions), reflecting how the neuron responds to time-varying internal and external drives and making it possible to easily compare the information processing properties across neuronal populations. …”
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Enhancing DBSCAN Accuracy and Computational Efficiency Using Closest Access Point Pre-Clustering for Fingerprint-Based Localization by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak

“…This significantly reduces the computational burden of the cluster refinement process. …”
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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images by Miao Wu, Chuanbo Yan, Gan Sen

“…The experiments followed 10 runs of the five-fold cross-validation process on a total of 1820 ultrasound images and the results were compared using Wilcoxon signed-rank test. …”
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Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm by A. P. Sergushicheva, E. N. Davydova

“…The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm.Materials and methods. …”
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Algorithm for Realistic Modeling of Graphitic Systems by A.V. Khomenko, N.V. Prodanov

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Optimization of Diagnostic and Treatment Tactics Regarding Impacted Lower Third Molars with the Employment of Author’s Program of Computer Modelling by Vares Y., Kyyak S.

“…Therefore besides the convenience in using of the above mentioned program in everyday practice of experienced dental surgeon, it is highly valuable assistant for young specialists and is a great way of the visualization for students during the educational process. Conclusions. Planning of the operation of atypical removal of the lower third molars requires the consideration of a number of general-somatic and local clinical characteristics, the ability to interpret the anatomical structure of the tooth and the adjacent structures on X-ray diffraction and computer tomography, prediction of all possible complications for the safe operation and avoiding complications in the postoperative period, possession with a variety of surgical techniques. …”
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Assessment of Using 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Patients with Carcinoma of Unknown Primary by S. A. Yaremenko, N. A. Ruchyeva, V. E. Sinitsyn

“…Objectives: to assess the possibility of using 18F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) in patients with carcinoma of unknown primary (CUP); to determine the effectiveness of PET/CT for detecting a primary tumor lesion in patients with a histologically verified diagnosis of CUP and the contribution of PET/CT procedure to the process of disease staging in these patients.Material and methods. …”
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Using multiple computer-predicted structures as molecular replacement models: application to the antiviral mini-protein LCB2 by Svetlana A. Korban, Oleg Mikhailovskii, Vladislav V. Gurzhiy, Ivan S. Podkorytov, Nikolai R. Skrynnikov

“…In this report, we describe a set of structures of the engineered protein LCB2 that has been solved starting from different computer-predicted molecular replacement (MR) models. …”
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End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality by Tingting Zhang, Jing Li, Jinpeng Tong, Yihu Song, Li Wang, Renye Wu, Xuan Wei, Yuanyuan Song, Rensen Zeng

“…Hyperspectral imaging (HSI) and computer vision (CV) were employed to capture surface data from both the embryo (EM) and endosperm (EN). …”
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Expression of Metallic Artifacts Caused by Intracanal Medications with Different Chemical Compositions in Cone Beam Computed Tomography Images by Giovane Oliveira Silva, Júlia Godoi Lopes, Amanda Pelegrin Candemil, Iago Ramirez, Ruben Pauwels, Manoel Damião Sousa-Neto, Fabiane Carneiro Lopes-Olhê, Giovanni Mergoni, Jardel Francisco Mazzi-Chaves

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Correlations between symptoms, nasal endoscopy and computed tomography findings in patients with chronic rhinosinusitis without nasal polyps by Savović Slobodan, Dragnić Nataša, Kljajić Vladimir, Jovančević Ljiljana, Buljčik-Čupić Maja, Lemajić-Komazec Slobodanka

“…Chronic rhinosinusitis (CRS) is one of the most common chronic conditions that is diagnosed on the basis of the condition symptoms, nasal endoscopy and computed tomograhpy (CT) of the nose and paranasal sinuses. …”
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Clinical Validation of a Computed Tomography Image-Based Machine Learning Model for Segmentation and Quantification of Shoulder Muscles by Hamidreza Rajabzadeh-Oghaz, Josie Elwell, Bradley Schoch, William Aibinder, Bruno Gobbato, Daniel Wessell, Vikas Kumar, Christopher P. Roche

“…<b>Introduction</b>: We developed a computed tomography (CT)-based tool designed for automated segmentation of deltoid muscles, enabling quantification of radiomic features and muscle fatty infiltration. …”
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Revolutionizing diabetes treatment: computational insights into 4-hydroxy isoleucine derivatives and advanced molecular screening for antidiabetic compounds by Lakshmi Mounika Kelam, Manjinder Singh Gill, M. Elizabeth Sobhia

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Computational Investigation of Long Free-Span Submarine Pipelines with Buoyancy Modules Using an Automated Python–Abaqus Framework by Ty Phuor, Pavel A. Trapper, Alon Urlainis, Avshalom Ganz

“…The study included a verification process, providing a verification of the presented framework. …”
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Development of Artificial Intelligence-Based Programs for the Diagnosis of Myocarditis in COVID-19 Using Chest Computed Tomography Data» by Ievgen A. Nastenko, Maksym O. Honcharuk, Vitalii O. Babenko, Mykola I. Lynnyk, Viktoria I. Ignatieva, Vitalii A. Yachnyk

“…Currently, there is a lack of data on chest computed tomography (CT) for diagnosing myocarditis associated with COVID-19. …”
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