PREDICTING THE LEARNING PATH TO LEARNER’S OPTIMUM COMPREHENSION by Ifeanyi Isaiah Achi, Chukwuemeka Odi Agwu, Christopher Chizoba Nnamene, Sylvester C. Aniobi, Ifebude Barnabas C., Kelechi Christian Oketa, Godson Kenechukwu Ezeh, John Otozi Ugah

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An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images by Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang

“…Abstract Background This study aims to assess the performance of an established an AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPIs) to detect pulmonary ground-glass nodules (GGNs) on virtual monochromatic images (VMIs), and to screen the optimal virtual monochromatic energy for the clinical evaluation of GGNs. …”
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Diagnostic value of noninvasive comprehensive morphological and functional assessment of coronary artery disease by Mladenović Zorica, Đorđević-Dikić Ana, Đurić Predrag, Angelkov-Ristić Anđelka, Džudović Boris, Jović Zoran

“…We have tried to evaluate the most reliable noninvasive approach aimed at the detection of major stenosis on the left anterior descending artery (LAD) and the right coronary artery (RCA). …”
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In Silico Prediction of Toxicological and Pharmacokinetic Characteristics of Medicinal Compounds by P. M. Vassiliev, A. V. Golubeva, A. R. Koroleva, M. A. Perfilev, A. N. Kochetkov

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Consensus Guidelines of Russian Society of Radiology (RSR) and Russian Association of Specialists in Ultrasound Diagnostics in Medicine (RASUDM) «Role of Imaging (X-ray, CT and US)... by V. E. Sinitsyn, I. E. Tyurin, V. V. Mitkov

“…It is advisable to use CT for the initial evaluation of thoracic organs in patients with severe and progressive forms of the disease, as well as for the differential diagnosis and follow up.Lung US in patients with suspected/known COVID-19-related pneumonia is an additional imaging method that does not replace or exclude X-ray and CT. …”
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Diagnostic imaging modalities in the study of hepatic alveolar echinococcosis: A review of literature by Iliar Baudinov, Aliya Kadyrova, Kubat Ibraimov, Prabha K C, Bakhadyr Bebezov, Sezdbek Aitbaev, Tilek Umetaliev, Kursanbek Raimkulov

“…However, due to its limited ability to assess vascular and biliary involvement, further imaging is required for precise disease evaluation. Contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) are the cornerstone imaging techniques for assessing both hepatic and extrahepatic disease extension. …”
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RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds by Mohamad Abubaker, Zubayda Alsadder, Hamed Abdelhaq, Maik Boltes, Ahmed Alia

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Analytical review of visualization methods for launch and landing of spacecraft with consideration of 64-bit system boundary value issues by Oleksii Vynokur, Iryna Perova, Polina Zhernova

“…However, due to the limitations of 64-bit precision, they are prone to visualization artifacts and computational errors that compromise the accuracy of the simulations. …”
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Aortic calcium score predicts early outcomes in aortoiliac revascularization by Adalberto Batalha Megale, Nelson Wolosker, Vitoria Magliari Kalil, João Mário Nigro, Carolina Sciammarella Wakisaka, Bianca Oberhuber Dias, Marcelo Passos Teivelis, Marcelo Assis Rocha, Cynthia de Almeida Mendes

“…ABSTRACT Objective To evaluate the association between lower limb artery calcium scores in preoperative computed tomography angiography and outcomes of patients with critical limb ischemia who underwent revascularization procedures in the aortoiliac segment. …”
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Compound dataset and custom code for deep generative multi-target compound design by Thomas Blaschke, Jürgen Bajorath

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Characterization of Pulmonary Sclerosing Pneumocytoma Assessed by 18F‐FDG PET/CT by Jie Xu, Xing Wan, Shudan Zhai, Shuai Yuan, Songyi Li, Wengui Xu, Mengran Fan, Lei Zhu

“…ABSTRACT Background This study evaluated the presentation of pulmonary sclerosing pneumocytoma (PSP) in 18F‐fluorodeoxyglucose positron emission tomography/computed tomography (18F‐FDG PET/CT) with the aim of increasing awareness of the disease. …”
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Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems by Yussuf Ahmed, Kehinde Beyioku, Mehdi Yousefi

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A Numerical Study for the Self-Propulsion Performance of a Propulsion System Using the Coanda Effect by Jun-Hee Lee, Kwang-Jun Paik, Do-Han Oh

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Why axis inversion? Optimizing interactions between users, interfaces, and visual displays in 3D environments by Jennifer E. Corbett, Jaap Munneke

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A Novel Tactile Learning Assistive Tool for the Visually and Hearing Impaired with 3D-CNN and Bidirectional LSTM Leveraging Morse Code Technology by Shabana Ziyad Puthu Vedu, May Altulyan, Pradeep Kumar Singh

“…Educating deafblind children is a highly specialized field that requires computer-assisted learning tools to address the challenges of auditory and visual impairments. …”
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Numerical study of an air-cooled battery pack: Effects of time-averaging heat generation in a case study by Mostafa Sadek, Omar Huzayyin

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One scan, multiple insights: A review of AI-Driven biomarker imaging and composite measure detection in lung cancer screening by Saher Verma, Leander Maerkisch, Alberto Paderno, Leonard Gilberg, Bianca Teodorescu, Mathias Meyer

“…Traditional low dose computed tomography (LDCT) focuses primarily on identifying lung malignancies, often missing the opportunity to detect other clinically relevant biomarkers. …”
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Role and Place of PET/CT in the Assessment of Skin Melanoma Prevalence by M. V. Sorokina, A. N. Redkin, E. Yu. Ustinova, O. V. Manukovskaya

“…It is PET/CT that allows to simultaneously evaluate the condition of all organs and tissues with minimal radiation load being more sensitive and specific imaging method in comparison with ultrasound, CT and magnetic resonance imaging. …”
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Rapid discovery of Transglutaminase 2 inhibitors for celiac disease with boosting ensemble machine learning by Ibrahim Wichka, Pin-Kuang Lai

“…The advancement of computational drug design, particularly using bio-cheminformatics-oriented machine learning, offers promising avenues for developing such therapies. …”
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Numerical investigation of cooling enhancement in double-layer fractal-like microchannel disk heat sinks via layer shifting and tertiary channels by Hosein Akhtari, Ardalan Shafiei Ghazani

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