Retrospective study on the accuracy of the cone beam computed tomography technique in detecting the mesiopalatal canal in upper second molars by Isabela Inoue Kussaba, Aline Lie Ishida, Felipe Spirandelli Martinhão, Joana Yumi Teruya Uchimura, Carlos Alberto Herrero de Morais, Alfredo Franco Queiroz

“… Knowing the anatomy and morphology of the maxillary molar canals and the location of the MV2 are extremely important for endodontist clinics. This study evaluated the morphology of the maxillary second molar and the incidence of the Mesiopalatal canal using cone beam computed tomography. …”
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Fractional-Order Modeling of Arterial Compliance in Vascular Aging: A Computational Biomechanical Approach for Investigating Cardiovascular Dynamics by Mohamed A. Bahloul, Yasser Aboelkassem, Zehor Belkhatir, Taous-Meriem Laleg-Kirati

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Implementation of Samba Server Using OpenVPN Based on Single Board Computer (SBC) for Private Cloud Storage by Dwi Bayu Putra Pamungkas, Isnawaty Isnawaty, L.M. Fid Aksara

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Reusable thiophene-based fluorescent sensor for detection of toxic Au³ ⁺ in real samples: Integrated spectroscopic and computational insight by Hasher Irshad, Katrine Qvortrup

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Case Study of Central Outlet Cap Used in Flow-Through Aquaculture Systems by Using Computational Fluid Dynamics by Jongjae Lee, Jaehyeok Doh, Kihoon Lim, Inyeong Kwon, Taeho Kim, Sanghoon Kim

“…The pressure drop between the tank inlet and the central outlet was evaluated, and the experimental point with the highest pressure drop was identified. …”
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Photodynamic Efficiency of Xanthene Dyes and Their Phototoxicity against a Carcinoma Cell Line: A Computational and Experimental Study by Suelen T. G. Buck, Fernanda Bettanin, Ednilson Orestes, Paula Homem-de-Mello, Hidetake Imasato, Rommel B. Viana, Janice R. Perussi, Albérico B. F. da Silva

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Failure Analysis of Locally Damaged Slender Steel Bars Strengthened with CFRP Composites: Experiments, Theory, and Computational Simulations by Bin Li, Hua Luo, Xianqiao Wang

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Treatment decision for impacted mandibular third molars: Effects of cone-beam computed tomography and level of surgeons' experience. by Emine Adali, Meltem Ozden Yuce, Gözde Işik, Elif Şener, Ali Mert

“…The aim of this study was to analyse the effect of surgeons' experience and the benefit of using cone-beam computed tomography (CBCT) images, compared to the use of panoramic radiography (PAN) images, on their decisions with regard to mandibular third molar treatment modality. …”
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Diagnostic reference levels (DRL) in Computed Tomography during the period 2018-2022 in a private hospital in Chile by Jugleys Seijas Acosta, Javiera Sanguesa M, Pablo Soffia S, Daniella Fabri G

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Neural network-based automated proptosis measurement using computed tomography images for patients with thyroid-associated orbitopathy by Sujeong Han, Jaesung Lee, Jeong Kyu Lee

“…Abstract The purpose of this study was to evaluate the clinical feasibility and reliability of a neural network (NN)-based automated proptosis measurement system using computed tomography (CT) images. …”
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Association between indoor occupancy and home spatial attributes of older adults’ daily living based on computer vision by Jiaoni Guo, Qiuyu Chen, Xiaoxiao Dong, Xiaohu Liu

“…Activity occupancy was evaluated by 0.5 m × 0.5 m grid analysis, whereas spatial attributes were simulated via space syntax analysis. …”
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Interdisciplinarity through internationality: Results from a US–Mexico graduate course bridging computational and plant science by Daniel H. Chitwood, Alejandra Rougon‐Cardoso, Robert VanBuren

“…We administered a survey over 4 years designed to evaluate student expertise. The first year of the survey included only US students and demonstrated that biology and computational student groups have distinct expertise but can learn the skills of the other group over the course of a semester. …”
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Efficient Computation of Radiative Heat Recovery from Porous Ceramic Monoliths for Efficient Solar Thermochemical Fuel Production by Aniket S. Patankar, Xiao-Yu Wu, Wonjae Choi, Harry Tuller, Ahmed Ghoniem

“…The performance of non-uniform porous redox morphologies is evaluated, and high-performing configurations are identified. …”
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Unveiling degenerative bone changes in the condyle: a texture analysis approach using cone-beam computed tomography by Michelle Bianchi-de Moraes, Natália Caroline Queiroz Costa, Gabriella Yasmim Santos da Silva, Fernanda Calvo Costa, Fernando Vagner Raldi, Sérgio Lúcio Pereira de Castro Lopes

“…By analysing texture parameters, it becomes possible to characterize and differentiate various tissues, based on their textural properties according to cone-beam computed tomography (CBCT). This study evaluated degenerative diseases in the temporomandibular joint through texture analysis. …”
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Anatomical Characteristics of the Nasopalatine Canal in Adults: A Cone-beam Computed Tomography Study in a Peruvian Sample by Gerardo Raffael Lévano-Miranda, Kilder Maynor Carranza-Samanez, Julissa Amparo Dulanto-Vargas

“…The aim of this study was to determine the anatomical characteristics of the nasopalatine canal (NPC) in adults using cone-beam computed tomography (CBCT). Materials and Methods: This retrospective study included a sample of 195 CBCTs of Peruvian adults (56.4% women) aged 19–60 years (mean age: 43.73 ± 11.16). …”
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The Puzzle of the New Type of Intermediate in the Course of [2 + 2] Cycloaddition with the Participation of Conjugated Nitroalkenes: MEDT Computational Study by Radomir Jasiński, Agnieszka Kącka-Zych

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Highlighting the Advanced Capabilities and the Computational Efficiency of DeepLabV3+ in Medical Image Segmentation: An Ablation Study by Ioannis Prokopiou, Panagiota Spyridonos

“…Artificial intelligence, particularly deep neural networks, offers precise and automated segmentation, yet limited data and high computational demands often hinder its application. Transfer learning helps mitigate these challenges by significantly reducing computational costs, although applying these models can still be resource intensive. …”
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Insights into the dependence of post-stroke motor recovery on the initial corticospinal tract connectivity from a computational model by Dongwon Kim, Leah M. O’Shea, Naveed R. Aghamohammadi

“…In this study, we construct a computational model that reproduces the dependence of post-stroke motor recovery on the initial CST connectivity. …”
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Can Generative Artificial Intelligence Outperform Self-Instructional Learning in Computer Programming?: Impact on Motivation and Knowledge Acquisition by Rafael Mellado, Claudio Cubillos

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Computer simulation of microwave-assisted drying: Coupled influence of microwave power and pulse ratio on product and process characteristics by Jalal Dehghannya, Mahdi Habibi-Ghods

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