Health octo tool matches personalized health with rate of aging by Sh Salimi, A. Vehtari, M. Salive, M. Kaeberlein, D. Raftery, L. Ferrucci

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The Engineering Design and Prototyping of an Auxiliary Standing Toilet Chair Driven by Electric Cylinders by Long-Chang Hsieh, Tzu-Hsia Chen, Po-Cheng Lai, Tsung-Ming Huang

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Renal artery branch stenosis induced hypertension in children: a case series by Hongwei Zhang, Yao Lin, Yang Liu, Mingming Zhang, Yanjun Deng, Gang Shen, Lin Shi

“…A slight perfusion defect in the kidney was observed on abdominal contrast-enhanced computed tomography (CECT) in all cases. Renal artery branch stenosis was clearly detected by selective renal artery angiography. …”
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CRUD growth on fuel rod bundles under oscillatory conditions by WANG Guolian, LIU Xiaojing, HE Hui

“…The CRUD thickness distribution in the circumferential direction of the fuel rods tends to form an elliptical pattern in polar coordinates.ConclusionsFluctuations in flow rate and temperature can enhance erosion in the tangential direction of oscillation, diminish the deposition process, and result in varied CRUD distribution patterns at distinct positions.…”
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Optimal Operation of a Single Unit with an Adjustable Blade in an Interbasin Water Transfer Pumping Station Based on Successive Approximation Discretization for Blade Angle by Yi Gong, Jilin Cheng, Li Che, Liang Wang, Zaiyang Chen, Yongfeng Chen

“…The proposed discretization method exerted a better optimization effect and needed a smaller computational amount compared with traditional one-time uniform discretization in the original feasible region of the blade angle.…”
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Study on Early Warning Methods for Shipping Input Risks Under Consideration of Public Health Events by Zhanxin Ma, Xiyu Zheng, Jiachao Wu, Dongping Pu

“…This study not only clarifies the process of cross-border transmission of public health events through the shipping network between cities of different countries, but also provides insights for the application of shipping input risk assessment systems, enriching the academic research on logistics network propagation.…”
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Incremental SAR Automatic Target Recognition with Divergence-Constrained Class-Specific Dictionary Learning by Xiaojie Ma, Xusong Bu, Dezhao Zhang, Zhaohui Wang, Jing Li

“…Specifically, firstly, this method learns class-specific dictionaries for each target category via sub-dictionary learning, where the learning process for a specific class does not involve data from other classes. …”
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A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Traditional mathematical optimization algorithms tend to encounter issues like slow computational speed and difficulties in solving large-scale models, while heuristic algorithms are prone to fall into local optima. …”
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Locally rendered high-resolution Land Use/Land Cover Bitmaps from OpenStreetMap Data for geospecific 3D Simulation by D. Frommholz

“…In the process, offline vector data sets from the collaborative mapping project are prepared into self-contained transferable database files that arrange relevant geometric features and attributes as spatially indexed tables for fast access. …”
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Predicting tuberculosis drug properties using extended energy based topological indices via a python driven QSPR approach by Kiran Naz, Hafiz Muhammad Bilal, Muhammad Kamran Siddiqui, Sarfraz Ahmad, Mustafa Ahmed Ali

“…All the calculations are done using Python, and the rigorous algorithmic implementation in the form of matrix formulation and computation of the eigenvalue is also given for reproducibility. …”
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Model-Based Predictive Control for Position and Orientation Tracking in a Multilayer Architecture for a Three-Wheeled Omnidirectional Mobile Robot by Elena Villalba-Aguilera, Joaquim Blesa, Pere Ponsa

“…Finally, these velocity commands are processed by the lower layer, which uses three independent PID controllers to regulate the individual wheel speeds. …”
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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

“…Applications of deep learning to physical simulations such as Computational Fluid Dynamics have recently experienced a surge in interest, and their viability has been demonstrated in different domains. …”
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Multi-proteins similarity-based sampling to select representative genomes from large databases by Rémi-Vinh Coudert, Jean-Philippe Charrier, Frédéric Jauffrit, Jean-Pierre Flandrois, Céline Brochier-Armanet

“…However, most current sampling approaches are biased and unable to process large datasets in a reasonable time. Methods Here we present MPS-Sampling (Multiple-Protein Similarity-based Sampling), a fast, scalable, and efficient method for selecting reliable and representative samples of genomes from very large datasets. …”
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3D Solar Analysis of the Street Network and Impact Estimation of the Shade of Trees at the District Scale by E. Shirinyan, K. Stefanov, D. Petrova-Antonova

“…This approach offers a straightforward solution for assessing the impact of tree shade with modest computation time and can be scaled to the city level in future research.…”
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The numerical solution of the nonlinear boundary value problem with singularity for the system of delay integrodifferential-algebraic equations by M.N. Afanaseva, E.B. Kuznetsov

“…At each iteration of the shooting method, the initial problem was solved. The computation of the initial problem influences the finding of the required solution and the continuation of the iterative process of the shooting method. …”
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Modeling and forecasting of TEC using subspace-based SSA-LRF-ANN model by J.R.K. Kumar Dabbakuti, Mallika Yarrakula, Dinesh Babu Vunnava, Gopi Krishna Popuri

“…Subspace-based signal processing methods are fundamentally pre-trained Artificial Neural Networks (ANN) that provide the basic structure for numerous computer vision applications and explore the most promising Earth Observation Applications (EOA). …”
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Estimation of Missing DICOM Windowing Parameters in High-Dynamic-Range Radiographs Using Deep Learning by Mateja Napravnik, Natali Bakotić, Franko Hržić, Damir Miletić, Ivan Štajduhar

“…To address this, DICOM images are often accompanied by windowing parameters, analogous to tone mapping in High-Dynamic-Range image processing, which compress the intensity range to enhance diagnostically relevant regions. …”
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A Spatiotemporal Prediction Model for Regional Scheduling of Shared Bicycles Based on the INLA Method by Zhuoran Yu, Yimeng Duan, Shen Zhang, Xin Liu, Kui Li

“…The proposed model combines the integrated nested Laplace approximation (INLA) and random partial differential equation (SPDE) to cope with the huge computation in the modeling process. In particular, we have adopted the dock-less bicycle-sharing rental records of Mobike as a case study to validate our method; the study area was one of the fastest growing urban districts in Shanghai in August 2016. …”
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Three-Dimensional Scaffolds Designed and Printed Using CAD/CAM Technology: A Systematic Review by Beatriz Pardal-Peláez, Cristina Gómez-Polo, Javier Flores-Fraile, Norberto Quispe-López, Ildefonso Serrano-Belmonte, Javier Montero

“…The articles had to obtain scaffolds for bone reconstruction that were designed by computer processing and printed in different materials. …”
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Preparation and Study of Undoped and Al-Doped on The Structure and the Optical Properties of In₂S₃ Thin Film by Dhuha Mohammed Abdullah, Bushra H. Hussein

“… Undoped and aluminum-doped In2S3 chalcopyrite semiconductor thin films are deposited on glass substrates using the thermal evaporation process under a vacuum of 1.6×10^-5 mbar, achieving a thickness of 500 nm. …”
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