A systematic quantification of hemodynamic differences persisting after aortic coarctation repair by Christopher Jensen, Christopher Jensen, Arash Ghorbannia, David Urick, David Urick, G. Chad Hughes, Amanda Randles

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Solar Dryers: Technical Insights and Bibliometric Trends in Energy Technologies by Edwin Villagran, John Javier Espitia, Fabián Andrés Velázquez, Jader Rodriguez

“…The study encompasses various innovations in energy storage systems, including phase change materials (PCMs) and the use of computational fluid dynamics (CFD) for optimizing the drying process. …”
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Do upper third molars provide more accurate age estimation in the adult based on the pulp-to-tooth ratio than lower third molars? A cone-beam CT study by Salah A. Al-Omoush, Abeer Alhadidi, Awni Al-Kayed, Hamza Saoud, Firas Alsoleihat

“…Introduction: Age-at-death estimation is an essential part of the identification process of individuals in many forensic dentistry cases where identity of the individual cannot be resolved by visual recognition or other means. …”
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GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data by Lei Zhang, Anandakumar Haldorai, Nithesh Naik

“…The database included images from Coronary Computed Tomography Angiography (CCTA) records of 5,000 individuals. …”
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The natural history of protrusio acetabuli in Marfan syndrome and other hereditary connective tissue disorders: a 10-year follow-up CT study by Tordis Böker, Eva Kirkhus, Are Hugo Pripp, Svend Rand-Hendriksen, Benedicte Paus, Hans-Jørgen Smith, Rigmor Lundby

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Morphometric analysis of internal auditory canal using CT imaging: An observational study in South Indian adult population by Judica Sheryl, Senthil Ganesh P. Kannappan

“…The present study attempts to measure the dimensions of the IAC using digital image processing to understand how anatomical variations may aid in surgical planning. …”
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Steganographic method of acoustic information protection in critical applications systems by Олександр Можаєв, Юрій Гнусов, Олександр Манжай, Володимир Струков, Віталій Носов, Валерій Радченко, Сергій Єнгаличев

“… The subject of the study is the process of protecting acoustic information in critical computer systems to ensure the required level of system security. …”
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Steganographic method of acoustic information protection in critical applications systems by Oleksandr Mozhaiev, Yurii Gnusov, Oleksandr Manzhai, Volodymyr Strukov, Vitalii Nosov, Valery Radchenko, Serhii Yenhalychev

“… The subject of the study is the process of protecting acoustic information in critical computer systems to ensure the required level of system security. …”
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USING TINKERCAD TO SUPPORT ONLINE THE LABORATORY WORK ON THE DESIGN OF MICROPROCESSOR SYSTEMS AT TECHNICAL UNIVERSITY by Leonty P. Golubev, Mikhailo M. Tkach, Dmytro A. Makatora

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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

“…Recent developments in COVID-19 diagnosis involve constructing expansive multi-noise information sets while creating clinical process-oriented AI algorithms and implementing distributed learning protocols for securing information security and system stability. …”
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Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks by ZhiGuo Zhu

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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

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Entire aerial-aquatic trajectory modeling and optimization for trans-medium vehicles by Teng Long, Nianhui Ye, Baoshou Zhang, Jingliang Sun, Renhe Shi

“…The computational domain size is adaptively refined according to the final aerial trajectory state, where the redundant computational domain is removed. …”
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Effectiveness of digital data acquisition technologies in the fabrication of maxillofacial prostheses – A systematic review by Nandita Suresh, Chandrashekar Janakiram, Suresh Nayar, V.N. Krishnapriya, Anil Mathew

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A Multi-Scale Adaptive Fusion Network: End-to-End Interpretable Small-Sample Classifier for Motor Imagery EEG by Qiulei Han, Yan Sun, Ze Song, Hongbiao Ye, Tingwei Chen, Jian Zhao

“…Brain-computer interface (BCI) technology based on motor imagery (MI) represents an advanced human-computer interaction approach that enables us to communicate and exchange directly with the external environment through neural activities. …”
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SMS3D: 3D Synthetic Mushroom Scenes Dataset for 3D Object Detection and Pose Estimation by Abdollah Zakeri, Bikram Koirala, Jiming Kang, Venkatesh Balan, Weihang Zhu, Driss Benhaddou, Fatima A. Merchant

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Endodontic treatment of a two-rooted mandibular first premolar with four root canals: a case report by Peiling Hu, Shuang Feng, Xin Li, Guangwen Li, Shiting Li

“…The tooth #34 was diagnosed with abnormal central cusp, apical periodontitis, and incomplete fracture through clinical and x-ray examinations. Cone-beam Computed Tomography (CBCT) results showed that the tooth #34 processed two roots with a buccolingual bifurcation and a total of 4 root canals: 1 lingual canal, 2 mesiobuccal canals, and 1 distobuccal canal. …”
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EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

“…To address the limitations of traditional unimodal brain-computer interface BCI) technologies based on electroencephalography (EEG) such as low spatial resolution and high susceptibility to noise an increasing number of neuroscience-driven studies have begun to focus on BCI systems that fuse EEG signals with functional near-infrared spectroscopy (fNIRS) signals. …”
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A FixMatch Framework for Alzheimer’s Disease Classification: Exploring the Trade-Off Between Supervision and Performance by Al Hossain, Umme Hani Konok, MD Tahsin, Raihan Ul Islam, Mohammad Rifat Ahmmad Rashid, Mohammad Shahadat Hossain, Karl Andersson

“…This approach supplements rather than replaces clinical expertise, offering a faster, more standardized classification process where expert labeling is limited. We first assessed various supervised models and determined that VGG19-FFT provided the strongest balance of classification accuracy and computational efficiency. …”
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Data augmented lung cancer prediction framework using the nested case control NLST cohort by Yifan Jiang, Yifan Jiang, Venkata S. K. Manem, Venkata S. K. Manem, Venkata S. K. Manem

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