Results 51 to 60 of about 1,093,487 (365)

Landslide Displacement Prediction Based on a Two-Stage Combined Deep Learning Model under Small Sample Condition

open access: yesRemote Sensing, 2022
The widely distributed “Step-type” landslides in the Three Gorges Reservoir (TGR) area have caused serious casualties and heavy economic losses. The prediction research of landslide displacement will be beneficial to the establishment of local geological
Chunxiao Yu   +3 more
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi   +10 more
wiley   +1 more source

Individual differences in self-enhancement and self-protection strategies: an integrative analysis [PDF]

open access: yes, 2010
Research has identified a large number of strategies that people use to self-enhance or self-protect. We aimed for an empirical integration of these strategies. Two studies used self-report items to assess all commonly recognized self-enhancement or self-
Gramzow, R   +5 more
core   +1 more source

Statistical Adaptation Loss Improved SMALL Sample Ship Detection Method Based on an Attention Mechanism and Data Enhancement

open access: yesApplied Sciences, 2023
Synthetic aperture radar (SAR) imagery is a promising data source for ocean activity detection. Ship target detection based on SAR images is widely used in maritime trade and the military.
Wei Gao   +4 more
doaj   +1 more source

LLM-Enhanced Data Management

open access: yesCoRR
Machine learning (ML) techniques for optimizing data management problems have been extensively studied and widely deployed in recent five years. However traditional ML methods have limitations on generalizability (adapting to different scenarios) and inference ability (understanding the context).
Xuanhe Zhou   +2 more
openaire   +2 more sources

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar   +7 more
wiley   +1 more source

3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement [PDF]

open access: yes
Despite advances in neural rendering, due to the scarcity of high-quality 3D datasets and the inherent limitations of multi-view diffusion models, view synthesis and 3D model generation are restricted to low resolutions with suboptimal multi-view ...
Luo, Yihang   +4 more
core   +1 more source

Harmonised Socio-Economic Measures in Four Longitudinal Cohort Studies: Millennium Cohort Study [PDF]

open access: yes, 2018
copyright UK Data Service and data collection copyright owner.The Cohort and Longitudinal Studies Enhancement Resources (CLOSER) project aims to maximise the use, value and impact of longitudinal research. It brings together leading longitudinal studies,
Cohort and Longitudinal Studies Enhancement Resources
core   +1 more source

Entity Extraction of Key Elements in 110 Police Reports Based on Large Language Models

open access: yesApplied Sciences
With the rapid advancement of Internet technology and the increasing volume of police reports, relying solely on extensive human labor and traditional natural language processing methods for key element extraction has become impractical.
Xintao Xing, Peng Chen
doaj   +1 more source

Hybrid Granularities Transformer for Fine-Grained Image Recognition

open access: yesEntropy, 2023
Many current approaches for image classification concentrate solely on the most prominent features within an image, but in fine-grained image recognition, even subtle features can play a significant role in model classification.
Ying Yu, Jinghui Wang
doaj   +1 more source

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