Showing 6,361 - 6,380 results of 6,617 for search 'Arhat~', query time: 1.67s Refine Results
  1. 6361
  2. 6362

    Human Cardiac Fibroblast Number and Activation State Modulate Electromechanical Function of hiPSC-Cardiomyocytes in Engineered Myocardium by Cassady E. Rupert, Tae Yun Kim, Bum-Rak Choi, Kareen L. K. Coulombe

    Published 2020-01-01
    “…However, two perturbations to the hCF population create disease-like phenotypes in engineered cardiac tissues. …”
    Get full text
    Article
  3. 6363

    Mechanical Coupling between Endoderm Invagination and Axis Extension in Drosophila. by Claire M Lye, Guy B Blanchard, Huw W Naylor, Leila Muresan, Jan Huisken, Richard J Adams, Bénédicte Sanson

    Published 2015-01-01
    “…We probed this posterior region using laser ablation and showed that tension is increased in the AP orientation, compared to dorsoventral orientation or to either orientations more anteriorly in the embryo. …”
    Get full text
    Article
  4. 6364

    Preference learning based deep reinforcement learning for flexible job shop scheduling problem by Xinning Liu, Li Han, Ling Kang, Jiannan Liu, Huadong Miao

    Published 2025-01-01
    “…Even with increasing instance sizes, preference learning proves to be an effective reward mechanism in reinforcement learning for FJSP. The ablation study further highlights the advantages of each key component in the PBMP algorithm across performance metrics.…”
    Get full text
    Article
  5. 6365

    Corneal Epithelial Removal with a Newly Designed Epithelial Brush by Ho Seok Chung, Seung Hwan Moon, Soon-Suk Kang, Minseop Kim, Hun Lee, Hungwon Tchah, Jae Yong Kim

    Published 2021-01-01
    “…Accumulation of clinical data is expected to expand the scope of application of new brushes for laser surface ablation.…”
    Get full text
    Article
  6. 6366

    Survival and Prognostic Factors in Patients with Hepatocellular Carcinoma Treated by Percutaneous Ethanol Injection: A 10-Year Experience by Roberto Mazzanti, Umberto Arena, Pietro Pantaleo, Lorenzo Antonuzzo, Greta Cipriani, Bruno Neri, Clara Giordano, Fabio Lanini, Serena Marchetti, Paolo Gentilini

    Published 2004-01-01
    “…Percutaneous ethanol injection (PEI) is an established technique for the ablation of HCC nodules, and shows survival rates similar to those of resection. …”
    Get full text
    Article
  7. 6367

    MoS<sub>2</sub>–Plasmonic Hybrid Platforms: Next-Generation Tools for Biological Applications by Nayra A. M. Moussa, Seungah Lee, Seong Ho Kang

    Published 2025-01-01
    “…These MoS<sub>2</sub>–plasmonic hybrid systems hold great promise in areas such as biosensing, bioimaging, and phototherapy, where their complementary properties facilitate improved detection, real-time visualization, and targeted therapeutic interventions. …”
    Get full text
    Article
  8. 6368

    A novel differential evolution method with a hierarchical decoder for the photovoltaic layout optimization problem by Yuanqing Yao, Yibo Wang, Hongjie Jia, Yunfei Mu

    Published 2025-03-01
    “…The effectiveness of the zoning, pathfinding, and differential evolution mechanisms within the method has been verified through ablation studies. Moreover, in real power plant cases, this method has reduced overall costs by 44% compared to those of manual designs.…”
    Get full text
    Article
  9. 6369

    Feature optimization-guided high-precision and real-time metal surface defect detection network by Sixian Chan, Suqiang Li, Hongkai Zhang, Xiaolong Zhou, Jiafa Mao, Feng Hong

    Published 2024-12-01
    “…Furthermore, we further illustrated the efficacy of our approach using several ablation trials and visualization detection outcomes.…”
    Get full text
    Article
  10. 6370

    Operant Discriminative Learning and Evidence of Subtelencephalic Plastic Changes After Long-Term Detelencephalation in Pigeons by S. M. Cerutti, S. Diaz-Cintra, L. Cintra, E. A. M. Ferrari

    Published 2003-01-01
    “…In Experiment I, experimental pigeons with massive telencephalic ablation and control pigeons were conditioned to key peck for food. …”
    Get full text
    Article
  11. 6371

    BACH2 in TRegs Limits the Number of Adipose Tissue Regulatory T Cells and Restrains Type 2 Immunity to Fungal Allergens by Amanda Contreras, Darin L. Wiesner, Brock Kingstad-Bakke, Woojong Lee, John P. Svaren, Bruce S. Klein, M. Suresh

    Published 2022-01-01
    “…Unlike global and T cell-specific Bach2-deficient mice, Treg-specific Bach2 ablation did not result in unprovoked TH2 inflammation in the lungs. …”
    Get full text
    Article
  12. 6372

    Applications of Ultrasonic Brain Imaging and Transcranial Ultrasound Therapy in Brain Injury Rehabilitation by WU Yi

    Published 2023-04-01
    “…The advantages of ultrasound technology are non-invasive, safe, portable, low-cost and radiation-free, which has a great potential in the detection and rehabilitation of brain injury. …”
    Get full text
    Article
  13. 6373

    Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network by Hang Thi Phuong Nguyen, Hieyong Jeong

    Published 2025-01-01
    “…This study proposes a non-invasive methodology for detecting nail-fold capillary morphology by integrating an object detection model for improvement within a deep learning framework. We conducted an ablation study to enhance YOLOv8&#x2019;s performance in detecting nail-fold capillaries and classifying their morphology. …”
    Get full text
    Article
  14. 6374

    Right-sided superior vena cava draining into the left atrium in a patient with persistent left-sided superior vena cava emptying into the right atrium: a case report by Lamia Jamjoom

    Published 2025-01-01
    “…The right-to-left shunt may result in significant cerebrovascular complications requiring surgical correction, while the persistent left SVC draining into the coronary sinus may require ablation if resulted in arrhythmias.…”
    Get full text
    Article
  15. 6375

    A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar by Hong Liu, Xiufen Ye, Hanwen Zhou, Hanjie Huang

    Published 2025-01-01
    “…Additionally, an effective area extraction approach for FLS images, grounded on the approximate erosion method, is introduced to produce high-quality FLS mapping. …”
    Get full text
    Article
  16. 6376

    Constitutional Nephrin Deficiency in Conditionally Immortalized Human Podocytes Induced Epithelial-Mesenchymal Transition, Supported by β-Catenin/NF-kappa B Activation: A Consequen... by Gian Marco Ghiggeri, Maddalena Gigante, Armando Di Donato

    Published 2013-01-01
    “…Here, we show that also human podocytes can undergo EMT, but more importantly nephrin ablation itself can trigger this phenotypic transformation. …”
    Get full text
    Article
  17. 6377

    Efficacy of postoperative aspirin administration for improving survival of microvascular free flaps in head and neck reconstruction procedures: A systematic review by Anu Jose, Nitin Bhola, Anchal Agarwal

    Published 2024-09-01
    “…Background: Reconstruction of head and neck defects following ablative surgery using Microvascular flaps has become the golden standard in the modern era. …”
    Get full text
    Article
  18. 6378

    Model of the malicious traffic classification based on hypergraph neural network by Wenbo ZHAO, Zitong MA, Zhe YANG

    Published 2023-10-01
    “…As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt network services.To address this ongoing threat, it is crucial to develop more effective intrusion detection systems that can promptly detect and counteract malicious network traffic, thereby minimizing the resulting losses.However, current methods for classifying malicious traffic have limitations, particularly in terms of excessive reliance on data feature selection.To improve the accuracy of malicious traffic classification, a novel malicious traffic classification model based on Hypergraph Neural Networks (HGNN) was proposed.The traffic data was represented as hypergraph structures and HGNN was utilized to capture the spatial features of the traffic.By considering the interrelations among traffic data, HGNN provided a more accurate representation of the characteristics of malicious traffic.Additionally, to handle the temporal features of traffic data, Recurrent Neural Networks (RNN) was introduced to further enhance the model’s classification performance.The extracted spatiotemporal features were then used for the classification of malicious traffic, aiding in the detection of potential threats within the network.Through a series of ablative experiments, the effectiveness of the HGNN+RNN method was verified.These experiments demonstrate the model’s ability to efficiently extract spatiotemporal features from traffic, resulting in improved classification performance for malicious traffic.The model achieved outstanding classification accuracy across three widely-used open-source datasets: NSL-KDD (94% accuracy), UNSW-NB15 (95.6% accuracy), and CIC-IDS-2017 (99.08% accuracy).These results underscore the potential significance of the malicious traffic classification model based on hypergraph neural networks in enhancing network security and its capacity to better address the evolving landscape of network threats within the domain of network security.…”
    Get full text
    Article
  19. 6379

    Fish scale-inspired biomimetic nanocoatings on magnesium implants for vascularized bone regeneration in infected bone defects by Dan Li, Danni Dai, Jianrong Wang, Zhen Ai, Chao Zhang

    Published 2025-01-01
    “…In the early stage of implantation, it exerted a photothermal effect to ablate bacterial biofilms and avoid contaminating the microenvironment. …”
    Get full text
    Article
  20. 6380

    Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

    Published 2024-12-01
    “…The semantic segmentation of bone structures demands pixel-level classification accuracy to create reliable bone models for diagnosis. While Convolutional Neural Networks (CNNs) are commonly used for segmentation, they often struggle with complex shapes due to their focus on texture features and limited ability to incorporate positional information. …”
    Get full text
    Article