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441
The Relevance of Osteoscintigraphy Technique in Early Detection of Bone Metastatic Lesions: a Systematic Review
Published 2023-06-01“…OSG is an effective and informative technique for early detection of bone metastases, allowing to assess the functional state of the tumor and its surrounding tissues, even before the appearance of structural disorders visible by other diagnostic methods. …”
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442
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443
Genetic Evaluation of Resilience Indicators in Holstein Cows
Published 2025-02-01Get full text
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444
Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions
Published 2025-06-01“…The computational complexity of airfoil optimization for aircraft wing designs typically involves high-dimensional parameter spaces defined by geometric variables, where each Computational Fluid Dynamics (CFD) simulation cycle may require significant processing resources. Therefore, performing variable selection to identify influential inputs becomes crucial for minimizing the number of necessary model evaluations, particularly when dealing with complex systems exhibiting nonlinear and poorly understood input–output relationships. …”
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445
Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification
Published 2025-09-01“…The results demonstrate that selecting an optimal activation function substantially enhances convolutional neural network classification of complex batik patterns. …”
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446
Mechanisms for selective flotation separation of chalcopyrite and molybdenite using the novel depressant 2-(carbamimidoylthio)acetic acid: Experimental and DFT study
Published 2025-05-01“…The elucidated structure-function relationship of CAA's functional groups provides theoretical guidance for developing eco-friendly flotation reagents. …”
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447
National occupational safety and health systems: Exploring the underlying networks for future sustainable development
Published 2024-12-01“…These findings provide valuable insights into how these functions are carried out differently across countries, detecting potential shareable best practices and improvement directions for the future sustainability of national OSH systems.…”
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448
The proteome of circulating extracellular vesicles and their functional effect on platelets vary with the isolation method
Published 2025-07-01“…Abstract Extracellular vesicles (EVs) play a crucial role in cell-to-cell communication and serve as a source of biomarkers in several pathologies. In this study, we aimed to characterize plasma-derived EVs isolated by ultracentrifugation (UC) or size exclusion chromatography (SEC) to define the best method for proteomic and functional studies. …”
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449
Advancing precision oncology with AI-powered genomic analysis
Published 2025-04-01Get full text
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450
Construction of Evaluation Model for Soil and Water Conservation Function of Vegetation at Community Scale
Published 2022-02-01Get full text
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451
Morphological and functional characteristics of Trichinella sp. larvae in bears and badgers in the Kirov Region
Published 2022-03-01“…For postmortem diagnosis of trichinellosis in the obtained bears and badgers, we can use trichinelloscopy and peptolysis methods which are aimed at detecting infection sources and preventing zoonosis in humans.…”
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452
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FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image
Published 2025-06-01“…Heterogeneous Synthetic Aperture Radar (SAR) image object detection task with inconsistent joint probability distributions is occurring more and more frequently in practical applications. …”
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454
Network security traffic detection and legal supervision based on adaptive metric learning algorithm
Published 2025-09-01Get full text
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455
App-DDoS detection method using partial binary tree based SVM algorithm
Published 2018-03-01“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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456
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457
Self-Powered Microsystem for Ultra-Fast Crash Detection via Prestressed Triboelectric Sensing
Published 2025-01-01“…We further developed a self-powered, compact (<4.5 cm3) microsystem that integrates the shock sensor, a signal processing module, airbag triggering circuitry, and a high-g-resistant supercapacitor as a backup power source. The microsystem achieves ultra-fast shock detection and airbag activation with a delay of less than 0.2 ms. …”
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458
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YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images
Published 2025-06-01“…Finally, the Variable Minimum Point Distance Intersection over Union (VMPDIoU) loss is proposed to optimize the model’s loss function. This method employs variable input parameters to directly calculate key point distances between predicted and ground-truth boxes, more accurately reflecting positional differences between detection results and reference targets, thus effectively improving the model’s mean Average Precision (mAP). …”
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460
Pan-Genome-Wide Investigation and Expression Analysis of <i>GATA</i> Gene Family in Maize
Published 2025-06-01“…These findings provide valuable new resources for functional research on <i>ZmGATA</i>.…”
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