Three-dimensional assessment of mandibular asymmetry in patients with unilateral cleft lip and palate at different growth stages: a cross-sectional study by Thaís de Lima AZEREDO, Laíze Rosa Pires FREITAS, Rodrigo Villamarim SOARES, Dauro Douglas OLIVEIRA, Maria Augusta VISCONTI, Eduardo Murad VILLORIA

“…Objective: The aim of this study was to evaluate the occurrence and the extent of MA in UCLP patients at different growth stages. …”
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Association between psoas muscle mass index and bone mineral density in patients undergoing hemodialysis by Kiyonori Ito, Susumu Ookawara, Hidenori Sanayama, Hideo Kakuda, Chieko Kanai, Katsuo Iguchi, Mitsutoshi Shindo, Keisuke Tanno, Shun Ishibashi, Masafumi Kakei, Kaoru Tabei, Yoshiyuki Morishita

“…FN-BMD was measured using dual-energy X-ray absorptiometry, and PMI was evaluated using psoas muscle areas on computed tomography. …”
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Rupture mode preferences of crustal earthquakes in Japan by Ritsuya Shibata, Naofumi Aso

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Combustion characteristics of a 660 MW tangentially fired pulverized coal boiler considering different loads, burner combinations and horizontal deflection angles by Wenbo Gu, Zipeng Zheng, Naixin Zhao, Xiaojian Wang, Zening Cheng

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Empirical Based Ranging Error Mitigation in IR-UWB: A Fuzzy Approach by Sunil K. Meghani, Muhammad Asif, Faroq Awin, Kemal Tepe

“…Moreover, the proposed fuzzy model is evaluated for computational complexity in terms of execution time and compared with the state-of-the-art work. …”
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Human crime activity recognition and shooting weapon detection in video frames using the contour approximation algorithm, and FastDTW classifier by Y. V. K. Durga Bhavani, V. B. Pagi

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Three-Dimensional Comparison of CBCT and Intraoral Scans for Assessing Orthodontic Traction of Impacted Canines with Clear Aligners by Teresa Pinho, João Pedro Carvalho

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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment by Aleš Procházka, Daniel Martynek, Marie Vitujová, Daniela Janáková, Hana Charvátová, Oldřich Vyšata

“…The study employs a range of machine learning methods, including support vector machines, Bayesian analysis, and neural networks, to evaluate the balance of various physical activities. …”
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Diagnostic Efficacy of Bone SPECT Techniques in Differentiating Unilateral and Bilateral Condylar Hyperplasia by Luz Kelly Anzola, Natalia Venegas, Maria Clara Jaramillo, Sergio Moreno, Mauricio Hinojosa, Enrique Amador, Martin Orozco, Fernando Mut

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Automated pancreatic extracellular volume fraction as a biomarker for microangiopathy in type 2 diabetes mellitus by Jiayu Wan, Dan Zhao, Xue Lin, Peng Sun, Shen Gui, Weiwei Liu, Lian Yang, Feng Pan

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Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks by Andrzej Liebert, Dominique Hadler, Chris Ehring, Hannes Schreiter, Luise Brock, Lorenz A. Kapsner, Jessica Eberle, Ramona Erber, Julius Emons, Frederik B. Laun, Michael Uder, Evelyn Wenkel, Sabine Ohlmeyer, Sebastian Bickelhaupt

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Impact of Emotional Design: Improving Sustainable Well-Being Through Bio-Based Tea Waste Materials by Ming Lei, Shenghua Tan, Pin Gao, Zhiyu Long, Li Sun, Yuekun Dong

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Pulsed electric field ablation process-the effect of bifurcation stents on electric field and heat distribution by Zhen wang, Jingyang Sun, Ming Liang, Jie Zhang, Yulai Yan, Fengqi Xuan, Lisheng Xu, Yaling Han

“…However, the effects of coronary bifurcation lesions (BL) and bifurcation stents (BS) on ablation efficacy have not been evaluated. A three-dimensional computer simulation model was developed to assess the effect of the ablation region. …”
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Integrating radiomics features and CT semantic characteristics for predicting visceral pleural invasion in clinical stage Ia peripheral lung adenocarcinoma by Fengnian Zhao, Yunqing Zhao, Zhaoxiang Ye, Qingna Yan, Haoran Sun, Guiming Zhou

“…A predictive model was established with visual nomogram and independent sample validation, and evaluated in terms of area under the receiver operating characteristic curve (AUC). …”
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Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study by Pathompong Roongruangsilp, Walita Narkbuakaew, Pathawee Khongkhunthian

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New Realities of the Enterprise Management System Information Support: Economic and Mathematical Models and Cloud Technologies by Anatolii Asaul Asaul, Mykhailo Voynarenko, Liudmyla Yemchuk, Larysa Dzhulii

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Theoretical Study of the Effect of Weather Conditions on Vehicle Aerodynamic Properties by Brúnó Péter, István Lakatos

“…The study examines potential methods to evaluate the effect of different weather conditions on the aerodynamic parameters of a vehicle. …”
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Breaking the 12-hour barrier: A case report on stent-retriever mechanical thrombectomy in a late-presenting acute ischemic stroke by Jacub Pandelaki, MD, PhD, Krishna Pandu Wicaksono, MD, PhD, Heltara Ramandika, MD, Dessy Natalia Purba, MD, Rizkya Amelia, MD, Olivia Ardini, MD, Jason, MD

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Relationship Between Endothelial Wall Shear Stress and High‐Risk Atherosclerotic Plaque Characteristics for Identification of Coronary Lesions That Cause Ischemia: A Direct Compari... by Donghee Han, Anna Starikov, Bríain ó Hartaigh, Heidi Gransar, Kranthi K. Kolli, Ji Hyun Lee, Asim Rizvi, Lohendran Baskaran, Joshua Schulman‐Marcus, Fay Y. Lin, James K. Min

“…WSS and APCs are quantifiable by coronary computed tomography angiography, but the relationship of coronary lesion ischemia—evaluated by fractional flow reserve—to WSS and APCs has not been examined. …”
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Contrast-enhanced CT-based deep learning model assists in preoperative risk classification of thymic epithelial tumors by Xuhui Zhao, Lingyu Zhang, Li Liang, Qi Zhang, Wencan Wang, Junlin Li, Hua Zhang, Chunhai Yu, Lingjie Wang

“…BackgroundThis study aimed to develop and evaluate a deep learning (DL) model utilizing contrast-enhanced computed tomography (CT) to assist radiologists in accurately stratifying the risk of thymic epithelial tumors (TETs) based on the World Health Organization (WHO) classification.MethodsInvolved retrospectively enrolling clinical data from 266 patients with histopathologically confirmed TETs from two centers: Center 1 (training set, n=205) and Center 2 (external testing set, n=61). …”
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