Understanding uncertainties in the satellite altimeter measurement of coastal sea level: insights from a round-robin analysis by F. Birol, F. Bignalet-Cazalet, M. Cancet, M. Cancet, J.-A. Daguze, W. Fkaier, E. Fouchet, E. Fouchet, F. Léger, C. Maraldi, F. Niño, M.-I. Pujol, N. Tran

“…Here, we take advantage of the recent availability of many new algorithms developed for altimetry sea level computation to quantify and analyze the uncertainties associated with the choice of algorithms when approaching the coast. …”
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Sex- and site-specific, age-related changes in bone density – a Terry collection study by Niina Korpinen, Petteri Oura, Juho-Antti Junno

“…Peripheral quantitative computed tomography (pQCT) was used to scan the dry bones. …”
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Comparable Effects of High-Intensity Interval Training and Prolonged Continuous Exercise Training on Abdominal Visceral Fat Reduction in Obese Young Women by Haifeng Zhang, Tom K. Tong, Weifeng Qiu, Xu Zhang, Shi Zhou, Yang Liu, Yuxiu He

“…The abdominal visceral fat area (AVFA) and abdominal subcutaneous fat area (ASFA) of the participants were measured through computed tomography scans preintervention and postintervention. …”
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Research on affine equivalence enumeration of the three families vectorial function by Feng YUAN, Ji-jun JIANG, Yang YANG, Sheng-wei XU

“…In recent years,Qu-Tan-Tan-Li function,Zha-Hu-Sun function and Tang-Carlet-Tang function have been proposed with differential uniformity 4 and many good cryptographic properties.the counting problem of affine equivalent to the three families cryptographic functions was investigated.By using some properties of finite fields,the upper and lower bound of the number of affine equivalent to the Zha-Hu-Sun function,and the upper bound of the number of affine equivalent to the Qu-Tan-Tan-Li function and Tang-Carlet-Tang function were computed,respectively.Moreover,a conjecture was given about the exact number of affine equivalent to the Zha-Hu-Sun function.Results show that there are at least<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <msup> <mn>2</mn> <mrow> <mn>53</mn></mrow> </msup> <msup> <mrow><mo>[</mo> <mrow> <mstyle displaystyle="true"> <munderover> <mo>∏</mo> <mrow> <mi>i</mi><mo>=</mo><mn>1</mn></mrow> <mn>8</mn> </munderover> <mrow> <mo stretchy="false">(</mo><msup> <mn>2</mn> <mi>i</mi> </msup> <mo>−</mo><mn>1</mn><mo stretchy="false">)</mo></mrow> </mstyle></mrow> <mo>]</mo></mrow> <mn>2</mn> </msup> </math></inline-formula>cryptographic functions of affine equivalent to the Zha-Hu-Sun function over finite field GF(2⁸),which can be chosen as S-boxes of block ciphers.…”
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Optimization of Vehicle Paths considering Carbon Emissions in a Time-Varying Road Network by Chong Ye, Fang Liu, YuKun Ou, Zeyu Xu

“…Regarding the study of the time-dependent green vehicle path problem (TDGVRP), most of the literature uses the step function to represent the vehicle speed change in order to reduce the computation, ignoring the continuity of vehicle speed, which leads to the lack of accurate carbon emissions measurement. …”
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Numerical Solution of Binary Liquid-Phase Adsorption onto Porocel Clay Using Linear, Freundlich and Langmuir Isotherms by Olaosebikan A. Olafadehan, Alfred A. Susu

“…The model was applied to the binary adsorption, without reaction, of aromatics and sulphur compounds onto a fixed bed of Porocel clay for kerosene deodorization using linear, Freundlich and Langmuir isotherms independently. A computational scheme for the solution of the model equations is presented. …”
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Study on Microscopic Water Flooding in Porous Carbonate Reservoirs by Numerical Simulation by Tao Yu, Baozhu Li, Mingqiang Hao, Benbiao Song

“…The study on the flow behaviors of oil and water two phases in porous media and their influencing factor is very important to adjust the porous carbonate reservoir development strategy and enhance the oil recovery. Based on the CT (computed tomography) scanning of real carbonate reservoir core sample, the micropore structure was reconstructed, and the effects of different factors (injection rate, oil-to-water viscosity ratio, and contact angle) and secondary development methods (higher injection rate and water displacement direction optimization) on the flow behavior of oil and water two phases were explored by numerical simulation in this paper. …”
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MSTD: A Multi-Scale Transformer-Based Method to Diagnose Benign and Malignant Lung Nodules by Xiaoyu Zhao, Jiao Li, Man Qi, Xuxin Chen, Wei Chen, Yongqun Li, Qi Liu, Jiajia Tang, Zhihai Han, Chunyang Zhang

“…However, the varied sizes, diverse morphologies, non-fixed positions, and dynamic growth of lung nodules in computed tomography (CT) images make their accurate identification challenging. …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…The field of dermatology has seen a change in recent years due to the convergence of artificial intelligence and medicine, which has produced creative methods for computer-aided diagnostics. Machine learning has become a potent tool in the search for more precise and effective diagnostic techniques because of its capacity to analyze enormous volumes of data and identify intricate patterns. …”
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Gait-Specific Optimization of Composite Footwear Midsole Systems, Facilitated through Dynamic Finite Element Modelling by Dimitris Drougkas, Evagelos Karatsis, Maria Papagiannaki, Serafeim Chatzimoisiadis, Fotini Arabatzi, Stergios Maropoulos, Alexander Tsouknidas

“…A commercial running shoe was scanned by means of micro computed tomography and its gel-based midsole, reverse-engineered to a 200 μm accuracy. …”
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Machine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs by Arkaprava Banerjee, Kunal Roy

“…Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models. …”
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Hippocampus-sparing volume-modulated arc therapy in patients with World Health Organization grade II glioma: a feasibility study by Renxian Xie, Renxian Xie, Hongxin Huang, Hongxin Huang, Qingxin Cai, Jiayang Lu, Tong Chen, Tong Chen, Keyan Xie, Jianzhou Chen, Chuangzhen Chen

“…This study aimed to assess the feasibility of hippocampus-sparing volumetric-modulated arc therapy (HS VMAT) in patients with World Health Organization (WHO) grade II glioma.MethodsHS VMAT plans and non-hippocampus-sparing volumetric-modulated arc therapy (NHS VMAT) plans were generated using a computed tomography (CT) dataset of 10 patients who underwent postoperative radiotherapy. …”
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Establishment and evaluation of a nomogram prediction model for risk of atrial fibrillation recurrence after the cox-maze IV procedure by Chuang Yu, Yanan Wei, Huajie Zheng, Sanjiu Yu, Yongbo Cheng, Chaojun Yan, Jun Li, Ping He, Wei Cheng

“…A nomogram was developed using multivariate logistic regression analysis, and the concordance statistic (C-statistic) was computed. Differentiation, calibration, clinical suitability, and bootstrapping were performed to verify the model. …”
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Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning by Fei Zhang, Hui Han, Minglin Li, Tian Tian, Guilei Zhang, Zhenrong Yang, Feng Guo, Maomao Li, Yuting Wang, Jiahe Wang, Ying Liu

“…Therefore, there is a need for automatic segmentation and classification technologies based on lung computed tomography (CT) scans to expedite and enhance the diagnosis of TB, enabling the rapid and secure identification of the condition. …”
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How to Identify Patterns of Citywide Dynamic Traffic at a Low Cost? An In-Depth Neural Network Approach with Digital Maps by Li Zhang, Ke Gong, Maozeng Xu, Aixing Li, Yuanxiang Dong, Yong Wang

“…We propose a stacked convolutional autoencoder-based method to extract a low-dimension feature vector for each input. We compute and analyze the distances between vectors. …”
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Research into the Possibilities of Improving the Adhesion Properties of a Locomotive by Vadym Ishchuk, Kateryna Kravchenko, Miroslav Blatnický, Alyona Lovska, Ján Dižo

“…For the simulation computation of the locomotive bogie, two types of railway tracks were chosen. …”
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Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma by Guangjie Yang MD, Aidi Gong BS, Pei Nie MD, Lei Yan BS, Wenjie Miao BS, Yujun Zhao BS, Jie Wu MD, Jingjing Cui BS, Yan Jia BS, Zhenguang Wang MD

“…Objective: To evaluate the value of 2-dimensional (2D) and 3-dimensional (3D) computed tomography texture analysis (CTTA) models in distinguishing fat-poor angiomyolipoma (fpAML) from chromophobe renal cell carcinoma (chRCC). …”
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Monitoring of Ionospheric Anomalies Using GNSS Observations to Detect Earthquake Precursors by Nicola Perfetti, Yuri Taddia, Alberto Pellegrinelli

“…In this study, we outline a strategy to estimate the VTEC in real-time, its rate of change, and the corresponding Signal-to-Noise Ratio (SNR) based on dual-frequency GNSS Doppler observations. We describe how to compute these parameters from GNSS data for a regional network using Adjusted Spherical Harmonic Analysis (ASHA) applied to a local model. …”
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Emei Martial Arts Promotion Model and Properties Based on Neural Network Technology by Cheng Xing, N.E. Zainal Abidin, Yudong Tang

“…In recent years, neural networks have made great progress in various fields, such as speech recognition, computer vision, and natural language understanding. …”
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Suprasternal aortic arch echocardioscopy as a potential tool in detection and follow-up of mobile thrombi in patients with ischemic stroke by Inhar Esnaola Barriola, Elena Escriche Gorospe, Paula Miguel Navas, Elisa Martínez Campos, María Molina Goicoechea, Ferran Capell Pascual, Adrián Jiménez Delgado, Roberto Muñoz Arrondo

“…The aim of this study was to analyze the potential of echocardiographic examination through the suprasternal window in both the detection of embolic sources and the monitoring of the response to anticoagulant treatment in patients with mobile thrombi.MethodsThis case series study included ten consecutive patients with a mobile floating aortic arch thrombus associated with an atheromatous plaque, detected by focused echocardiography and confirmed by Computed Tomography Angiography (CTA). Epidemiological, clinical, radiological, and ultrasound characteristics were analyzed. …”
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