Study of distribution and morphological characteristics of the trabecular bone in the uncinate process of the cervical spine using micro-computed tomography. by Yunteng Hao, Yuan Ma, Shaojie Zhang, Chaoqun Wang, Wei Wang, Xiaohe Li, Shang Gao, Kun Li, Jie Chen, Haiyan Wang, Yang Yang, Mingjie Gao, Jian Wang, Zhijun Li, Jun Shi, Xing Wang

“…This study aimed to observe the distribution of cancellous bone in the cervical uncinate process and its morphological features using micro-computed tomography (Micro-CT) to gain a deeper understanding of the morphological characteristics of the uncinate microstructure. …”
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A Bayesian vector-autoregressive application with time-varying parameters on the monetary shocks–production network nexus by Mihaela Simionescu, Nicolas Schneider, Beata Gavurova

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Computed tomography angiography in the diagnosis of non-ST-elevation myocardial infarction: redefining our first line of defense by Yvonne J.M. van Cauteren, Marie-Julie D.K. Lemmens, Sebastiaan C.A.M. Bekkers, Bas L.J.H. Kietselaer, Jordi Heijman, Ralph A.L.J. Theunissen, Braim Rahel, Talitha Voorn, Sander M.J. van Kuijk, Robin Nijveldt, Kevin Vernooy, Joachim E. Wildberger, Casper Mihl, Martijn W. Smulders

“…Combining all CTA parameters (CAD-RADS ≥ 3, Agatston score >1.000 and ≥2 HRP features) did not improve the diagnostic accuracy compared with CAD-RADS alone. …”
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A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…Quantitative evaluation results using various analytical methodologies (multiple regression analysis, Kruskal–Wallis test, random forest feature importance, principal component analysis including K-means clustering, response surface methodology (RSM), preference ranking technique based on similarity to the ideal solution (TOPSIS), and Pareto optimization) revealed that the basic shooting pattern ‘type’ has a significant and statistically significant influence on all major SfM performance metrics (reprojection error, final point count, computation time, reconstruction completeness; Kruskal–Wallis <i>p</i> < 0.001). …”
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

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Quantifying Uncertainties Associated with Liver Disorder Using Interval-Valued Complex Fuzzy Hypersoft Set by Muhammad Arshad, Atiqe Ur Rahman, Salwa El-Morsy

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Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

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The Extent of Honeycombing on Computed Tomography Cannot Predict the Treatment Outcome of Patients with Acute Exacerbations of Interstitial Lung Disease by Yurika Nishikawa, Yu Hara, Yoichi Tagami, Ryo Nagasawa, Kota Murohashi, Ayako Aoki, Katsushi Tanaka, Keisuke Watanabe, Nobuyuki Horita, Nobuaki Kobayashi, Masaki Yamamoto, Makoto Kudo, Takeshi Kaneko

“…The purpose of this retrospective study was to clarify whether the presence of honeycombing on computed tomography (CT) can affect the prognosis of patients with acute exacerbations (AEs) of interstitial lung diseases (ILDs). …”
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Attention-Guided Deep Reinforcement Learning for Realistic Neural Painting by Xin Huang, Minglun Gong

“…Specifically, the attention module computes an attention map to guide stroke generation, and a feature-masked reward function prioritizes important regions. …”
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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

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Effects of Aerodynamic Parameters on Performance of Galloping Piezoelectric Energy Harvester Based on Cross-Sectional Shape Evolutionary Approach by Xiaokang Yang, Bingke Xu, Zhendong Shang, Junying Tian, Haichao Cai, Xiangyi Hu

“…The effects of the aerodynamic parameters on performance are investigated computationally using a distributed parameter electromechanical coupling model. …”
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PRO-BiGRU: Performance Evaluation Index System for Hardware and Software Resource Sharing Based on Cloud Computing by Nan Wang

“… This study aims to address the performance evaluation challenges of computer hardware and software resource sharing in cloud computing environments. …”
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A novel vascular stent and insert concept to improve hemodynamics and support vascular health by Bahram Vaziri, Saadat Zirak, Mohammad Azadi, Amir Keshmiri, Nima Shokri

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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

“…The computed Approximate Entropy values for each load and configuration are then used as features in the proposed algorithm. …”
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Theoretical studies of increasing the efficiency of mass transfer of magnetite suspension based on changes in the hydrodynamic parameters of the decontamination process by A.Y. Kryvenko, O.V. Bulakh, T.A. Oliinyk, S.A. Ruban

“…The presented mathematical models can vary the necessary parameters of the magnetic desolation process, taking into account the design features of the device itself and the power supply device, in order to obtain the final product of a given quality.…”
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Decoding growth parameters of small pelagics: a critical examination of model effectiveness with a focus on the European anchovy by Margarita Rincón Hidalgo, Margarita Rincón Hidalgo, MariAngeles Gamaza, MaJosé Zúñiga, Fernando Ramos, Jorge Tornero

“…The results address a significant gap in existing integrated models used for scientific advice, which often do not have the “random effects on parameters” feature. Notably, this framework is widely applicable to other short-lived small pelagic species that typically exhibit a high data variability, offering a valuable solution for improving efficiency and robustness in fisheries management decision-making.…”
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Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

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DGS-Yolov7-Tiny: a lightweight pest and disease target detection model suitable for edge computing environments by Ping Yu, Baoshu Zong, Xiaozhong Geng, Hui Yan, Baijin Liu, Cheng Chen, Hupeng Liu, Xiaoqing Xu

“…A novel fusion convolution, DGSConv, replaced the standard convolutions and effectively reduced the number of parameters while retaining detailed feature information. …”
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Hemodynamic-Based Evaluation on Thrombosis Risk of Fusiform Coronary Artery Aneurysms Using Computational Fluid Dynamic Simulation Method by Haoran Wang, Hitomi Anzai, Youjun Liu, Aike Qiao, Jinsheng Xie, Makoto Ohta

“…Four three-dimensional models were constructed, representing coronary arteries with a normal diameter (1x) and CAAs with diameters two (2x), three (3x), and five times (5x) that of the normal diameter. A lumped parameter model (LPM) which can capture the feature of coronary blood flow supplied the boundary conditions. …”
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Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data by Hoon Jeong Lee, Arlene Chiu, Yida Lin, Sreyas Chintapalli, Serene Kamal, Eric Ji, Susanna M. Thon

“…The measurement system considers the spatial distribution of the materials parameters to gather and predict large amounts of data by treating an inhomogeneous device as a series of thousands of micro‐devices, a novel feature compared to existing solutions. …”
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