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6361
Early intervention in eating disorders: introducing the chronopathogram
Published 2025-01-01“…Level of evidence: Level V narrative review.…”
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6362
Human Cardiac Fibroblast Number and Activation State Modulate Electromechanical Function of hiPSC-Cardiomyocytes in Engineered Myocardium
Published 2020-01-01“…However, two perturbations to the hCF population create disease-like phenotypes in engineered cardiac tissues. …”
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6363
Mechanical Coupling between Endoderm Invagination and Axis Extension in Drosophila.
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. …”
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6364
Preference learning based deep reinforcement learning for flexible job shop scheduling problem
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.…”
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6365
Corneal Epithelial Removal with a Newly Designed Epithelial Brush
Published 2021-01-01“…Accumulation of clinical data is expected to expand the scope of application of new brushes for laser surface ablation.…”
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6366
Survival and Prognostic Factors in Patients with Hepatocellular Carcinoma Treated by Percutaneous Ethanol Injection: A 10-Year Experience
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. …”
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6367
MoS<sub>2</sub>–Plasmonic Hybrid Platforms: Next-Generation Tools for Biological Applications
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. …”
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6368
A novel differential evolution method with a hierarchical decoder for the photovoltaic layout optimization problem
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.…”
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6369
Feature optimization-guided high-precision and real-time metal surface defect detection network
Published 2024-12-01“…Furthermore, we further illustrated the efficacy of our approach using several ablation trials and visualization detection outcomes.…”
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6370
Operant Discriminative Learning and Evidence of Subtelencephalic Plastic Changes After Long-Term Detelencephalation in Pigeons
Published 2003-01-01“…In Experiment I, experimental pigeons with massive telencephalic ablation and control pigeons were conditioned to key peck for food. …”
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6371
BACH2 in TRegs Limits the Number of Adipose Tissue Regulatory T Cells and Restrains Type 2 Immunity to Fungal Allergens
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. …”
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6372
Applications of Ultrasonic Brain Imaging and Transcranial Ultrasound Therapy in Brain Injury Rehabilitation
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. …”
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6373
Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network
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’s performance in detecting nail-fold capillaries and classifying their morphology. …”
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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
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.…”
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6375
A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar
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. …”
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6376
Constitutional Nephrin Deficiency in Conditionally Immortalized Human Podocytes Induced Epithelial-Mesenchymal Transition, Supported by β-Catenin/NF-kappa B Activation: A Consequen...
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. …”
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6377
Efficacy of postoperative aspirin administration for improving survival of microvascular free flaps in head and neck reconstruction procedures: A systematic review
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. …”
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6378
Model of the malicious traffic classification based on hypergraph neural network
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.…”
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6379
Fish scale-inspired biomimetic nanocoatings on magnesium implants for vascularized bone regeneration in infected bone defects
Published 2025-01-01“…In the early stage of implantation, it exerted a photothermal effect to ablate bacterial biofilms and avoid contaminating the microenvironment. …”
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6380
Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer
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. …”
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