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  1. 4121
  2. 4122

    Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model by Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol

    Published 2025-01-01
    “…In a clinical setting, computed tomography angiography (CTA) is the imaging modality of choice for monitoring and/or presurgical planning of AAA patients. …”
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  3. 4123

    Factors Affecting the Population of Excited Charge Transfer States in Adenine/Guanine Dinucleotides: A Joint Computational and Transient Absorption Study by Vasilis Petropoulos, Lara Martinez-Fernandez, Lorenzo Uboldi, Margherita Maiuri, Giulio Cerullo, Evangelos Balanikas, Dimitra Markovitsi

    Published 2024-12-01
    “…Our measurements reveal that in the large majority of dinucleotides, chromophore coupling is already operative in the ground state and that the charge transfer process occurs within ~120 fs. The competition among various relaxation pathways affects the quantum yields of the <i>CT</i> state formation in each dinucleotide, which are estimated to be 0.18 and 0.32 for <b>AG</b> and <b>GA</b>, respectively.…”
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  4. 4124

    Intraoperative computed tomography-guided robotic needle biopsy system with real-time imaging ability and remote-center-of-motion control by Zheng-Yang Lai, Chun-Ting Kuo, Shun-Mao Yang, Ming-Chih Ho, Yung-Yaw Chen, Tsu-Chin Tsao, Jia-Yush Yen

    Published 2025-05-01
    “…Objective Traditional computed tomography (CT)-guided tumor ablation procedures are often hampered by the need for repeated scans and significant radiation exposure, primarily due to challenges in manual needle insertion and the iterative realignment process. …”
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    Importance of four-dimensional computed tomography simulation in locally advanced lung cancer radiotherapy: Impact on reducing planning target volume by Marić Slavica, Janjić Petar, Bosančić Borut, Mijailović Milan, Lukić Snežana

    Published 2022-01-01
    “…Four-dimensional (4D) computed tomography (CT) simulation is a useful tool for motion assessment in lung cancer radiotherapy. …”
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  9. 4129

    Morphologic and Morphometric Analysis of Crista Galli for Gender Determination using Cone Beam Computed Tomography: A Cross-sectional Study by Vaishnavi Sawant, Amita Aditya, Radhika Nair, Neha Kulkarni, Alisha Fargade, Samata Parakh

    Published 2025-08-01
    “…Introduction: Gender determination is a key process in forensic investigations. The Crista Galli (CG) is a significant anatomical structure of the skull and a crucial endoscopic landmark in pituitary surgeries and the frontal sinus approach. …”
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  10. 4130

    Microstructural evolution and hydraulic response of shale self-propped fracture using X-ray computed tomography and digital volume correlation by Ting Huang, Cheng Zhai, Ting Liu, Yong Sun, Hexiang Xu, Yu Wang, Jing Huang

    Published 2025-03-01
    “…Results indicate that the fracture aperture in the self-propped sample is significantly larger than in the unpropped sample throughout the loading process, with shale particles tending to crush rather than embedded into the matrix, thus maintaining flow pathways. …”
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    An Approach to Thermal Management and Performance Throttling for Federated Computation on a Low-Cost 3D ESP32-S3 Package Stack by Yi Liu, Parth Sandeepbhai Shah, Tian Xia, Dryver Huston

    Published 2025-04-01
    “…This approach maximizes overall efficiency while maintaining thermal safety without compromising computational power. Experimental results with up to six processors confirm the validity of the concept.…”
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  15. 4135

    Progressive filling partitioning and mapping algorithm for Spark based on allocation fitness degree by Chen BIAN, Jiong1 YU, Wei-rong XIU, Bin LIAO, Chang-tian YING, Yu-rong QIAN

    Published 2017-09-01
    “…The job execution mechanism of Spark was analyzed,task efficiency model and Shuffle model were established,then allocation fitness degree (AFD) was defined and the optimization goal was put forward.On the basis of the model definition,the progressive filling partitioning and mapping algorithm (PFPM) was proposed.PFPM established the data distribution scheme adapting Reducers’ computing ability to decrease synchronous latency during Shuffle process and increase cluster the computing efficiency.The experiments demonstrate that PFPM could improve the rationality of workload distribution in Shuffle and optimize the execution efficiency of Spark.…”
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  16. 4136

    Formal Description of Trusted Bebavior Oriented Security System for Big Data by Zhi Yan, Jing Zhan

    Published 2014-07-01
    “…Usually the process of storing and analyzing with big data is under the framework of Hadoop within the environment of cloud computing while the risks of big data application on cloud derive from cloud service providers and remote users who access data without authorization. …”
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    CONCEPTUAL FRAMEWORK OF ANALYSIS OF INFORMATION SECURITY MODELS OF CLOUD SYSTEMS OF THE CLASS «INFRASTRUCTURE AS A SERVICE» by E. V. Olizarovich, A. I. Brazhuk

    Published 2019-10-01
    “…A process based on the role approach for the synthesis of information security models of cloud computing systems based on applied system and threat models is described; the result is a security model, expressed, for example, in recommendations for improving information security or containing elements of the security configuration. …”
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  19. 4139

    Energy-efficient optimization strategy based on elastic data migration in big data streaming platform by Yonglin PU, Xiaolong XU, Jiong YU, Ziyang LI, Binglei GUO

    Published 2024-02-01
    “…Focused on the problem that the stream computing platform was suffering from the high energy consumption and low efficiency due to the lack of consideration for energy efficiency in designing process, an energy-efficient optimization strategy based on elastic data migration in big data streaming platform (EEDM-BDSP) was proposed.Firstly, models of the load prediction and the resource judgment were set up, and the load prediction algorithm was designed, which predicted the load tendency and determine node resource occupancy, so as to find nodes of resource overload and redundancy.Secondly, models of the resource constraint and the optimal data migration were set up, and the optimal data migration algorithm was proposed, which data migration for the purpose of improving node resource utilization.Finally, model of the energy consumption was set up to calculate the energy consumption saved by the cluster after data migration.The experimental results show that the EEDM-BDSP changes node resources in the cluster can responded on time, the resource utilization and the energy-efficient are improved.…”
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