The added value of quantitative contrast-enhanced CT parameters in distinguishing malignant from benign solid pulmonary nodules by Peng Yun, Zhencheng Zhan, Zijing Wu, Yutong Rao, Ke Sun, Lianggeng Gong

“…Abstract Purpose To explore the added value of quantitative parameters derived from routine chest contrast-enhanced computed tomography (CECT) in distinguishing malignant from benign solid pulmonary nodules (SPNs). …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

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Cone beam computed tomography findings as prognostic factors for maxillary sinus membrane perforation during maxillary sinus augmentation by Yifat Manor, Aya Khadija, Lazar Kats

“…The aim of the present study was to analyse cone beam computed tomography (CBCT) findings to identify prognostic factors for SM perforation. …”
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A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System by Yingying Duan, Haina Rong, Dunwu Qi, Luis Valencia-Cabrera, Gexiang Zhang, Mario J. Pérez-Jiménez

“…Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations. …”
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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

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A conceptual and computational framework for modelling and understanding the non-equilibrium gene regulatory networks of mouse embryonic stem cells. by Richard B Greaves, Sabine Dietmann, Austin Smith, Susan Stepney, Julianne D Halley

“…Our simulation demonstrates three key features: (i) the existence of a critical value of the branching process parameter, dependent on the details of the cistrome in question; (ii) the ability of an active cistrome to "ignite" an otherwise fully dissipated cistrome, and drive it to criticality; (iii) how coupling cistromes together can reduce their critical branching parameter values needed to drive them to criticality.…”
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Initially reactive and concentrated generalized fluid wavy flow with the applications of disorder theory and magnetic field: A computational study by Saleem Javed, Latif Ahmad

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Computational fluid dynamics analysis and machine learning study of heat transfer in solar air heaters with distinct ribs configuration by Eid S. Alatawi

“…This research pioneers SAH optimization by uniquely integrating Computational Fluid Dynamics (CFD) with machine learning (ML) to analyze and predict the performance of 15 SAH designs featuring distinct curved rib configurations. …”
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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Abstract The rate of penetration (ROP) is a critical parameter for optimizing oil well drilling and the overall cost of drilling operations. …”
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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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Modeling the dynamics of charged drop of one liquid in another under the action of an electric field by Н.Ж. Джайчибеков, Б.С. Шалабаева, В.Н. Киреев

“… The work is devoted to the study of the features of the behavior of a group of droplets of one viscous liquid in another under the influence of various physical fields. …”
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EdgeSugarcane: a lightweight high-precision method for real-time sugarcane node detection in edge computing environments by Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Lijiao Wei, Lijiao Wei, Kangmin Lin, Weihua Huang, Shuo Wang, Dongjie Du, Tao Wu

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Lightweight Evolving U-Net for Next-Generation Biomedical Imaging by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Ziyat Kurbanov, Abdibayeva Tamara, Ishonkulov Nizamjon, Shakhnoza Muksimova, Young Im Cho

“…This study aims to develop a lightweight and scalable U-Net-based architecture that enhances segmentation performance while substantially reducing computational overhead. <b>Methods</b>: We propose a novel evolving U-Net architecture that integrates multi-scale feature extraction, depthwise separable convolutions, residual connections, and attention mechanisms to improve segmentation robustness across diverse imaging conditions. …”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…Conventional deep learning methods, such as convolutional neural networks and transformer-based models, frequently introduce significant computational overhead or fail to effectively represent multi-scale features. …”
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A Process Decision-Making Method for Planar Machining of Box-Type Components by Zhongkun Shi, Meifa Huang, Zhemin Tang, Zecheng Hu, Weihao Hu

“…Currently, the selection of process parameters for box-type parts often relies on designers consulting manuals or on personal experience. …”
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Dynamical Analysis of Nonlocalized Wave Solutions of 2+1-Dimensional CBS and RLW Equation with the Impact of Fractionality and Free Parameters by Nur Hasan Mahmud Shahen, null Foyjonnesa, Md. Rafiqul Islam, Ahmet Bekir, M.M. Rahman

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Correlation Analysis Between 3D and Plane DAT Binding Parameters of 11C-CFT PET/CT and the Clinical Characteristics of Patients with Parkinson’s Disease by Xiaodong Wu, Ziyuan Li, Jing Gan, Feng Wei, Ping Wu, Sheng Liang, Yufei Ma, Lin Ding, Chuantao Zuo, Zhenguo Liu, Hui Wang, Yafu Yin

“…Clinical characteristics, including age, sex, and disease duration, as well as the modified Hoehn-Yahr (H-Y) scale, Unified Parkinson’s Disease Rating Scale (UPDRS) parts II and III (II-III), and Mini-Mental State Examination (MMSE) scores of PD patients during the corresponding time periods were collected. DAT binding parameters and their derived parameters based on plane and 3D images in the neostriatum were analyzed for consistency with plane and 3D parameters, and the correlation between DAT parameters and the clinical features of patients were assessed using SPSS software. …”
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Computational histology reveals that concomitant application of insect repellent with sunscreen impairs UV protection in an ex vivo human skin model by Sophie Charrasse, Titouan Poquillon, Charlotte Saint-Omer, Audrey Schunemann, Mylène Weill, Victor Racine, Abdel Aouacheria

“…Hematoxylin and eosin or hematoxylin-eosin saffron staining was performed to assess skin structure before morphometric parameter computation. Results We report the identification of a specific nuclear feature based on variation in texture information that can be used to assess skin tissue damage after oxidative stress or UV exposure. …”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

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