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1001
Cerebral Blood Flow and Its Connectivity Deficits in Mild Traumatic Brain Injury at the Acute Stage
Published 2020-01-01“…Forty-five acute mTBI patients and 42 health controls underwent pseudocontinuous arterial spin labeling (pCASL) perfusion magnetic resonance imaging (MRI). …”
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1002
A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics
Published 2025-01-01“…Therefore, we developed an innovative, weakly supervised model, aided by convolutional neural networks, to perform label-free spheroid segmentation. Since obtaining pixel-level ground truth labels through manual annotation is labor-intensive, our approach improves the overall quality of the ground-truth map by incorporating a multi-stage process within a weakly supervised learning framework. …”
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1003
Repression of PFKFB3 sensitizes ovarian cancer to PARP inhibitors by impairing homologous recombination repair
Published 2025-01-01“…RNA sequencing and proximity labeling were employed to identify the molecular mechanisms underlying PFKFB3-mediated resistance. …”
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1004
The Restoration Effect of Degraded Grassland Depends on the Response of Species Root Distribution to Resource Availability
Published 2024-12-01“…The same amounts of water and <sup>15</sup>N-labelled fertilizer were uniformly supplied by a tube fertigation system at soil depths of 0, 15 and 45 cm. …”
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1005
Sistem Identifikasi Kesehatan Pencernaan Berdasar Suara Usus Menggunakan Embedded System
Published 2023-04-01“…Dalam penelitian ini, uji klasifikasi untuk yang lain diberi label ‘NIHIL’ suara perut, dan hasil auskultasi adalah 5,85 detik untuk uji klasifikasi. …”
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1006
The antibiofilm effect and mechanism of silver nanowire-modified glass ionomer cement against multi-species oral biofilm
Published 2025-01-01“…Extracellular polysaccharides (EPS) were labelled with Alexa Fluor 647-labelled dextran conjugate and then observed by a confocal laser scanning microscope (CLSM). …”
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1007
Pengujian Rule-Based pada Dataset Log Server Menggunakan Support Vector Machine Berbasis Linear Discriminat Analysis untuk Deteksi Malicious Activity
Published 2022-02-01“…The log dataset that has been obtained is processed using rule-based labeling which will later be tested with a Linear Discriminant Analysis-based Support Vector Machine modeling. …”
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1008
Targeted generative data augmentation for automatic metastases detection from free-text radiology reports
Published 2025-02-01“…In this study, we demonstrate how advancements in natural language processing, namely the instruction-following capability of recent large language models and extensive model pretraining, made it possible to automate metastases detection from radiology reports texts with a limited amount of gold-labeled data. Specifically, we prompt Llama3, an open-source instruction-tuned large language model, to generate synthetic training data to expand our limited labeled data and adapt BERT, a small pretrained language model, to the task. …”
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1009
Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer
Published 2025-01-01“…Automatic clustering assisted by DL can reveal hidden data clusters in clinical datasets, and CLIP-UNet effectively utilizes clustered labels and achieves higher performance.…”
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1010
Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches
Published 2025-01-01“…To achieve this, pixel-based labels were created by experts in the construction field by analyzing each pixel value. …”
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1011
Antipsychotic prescribing practices and patient, family member and healthcare professional perceptions of antipsychotic prescribing in acute care settings: a scoping review protoco...
Published 2022-06-01“…Introduction Antipsychotic medications are commonly prescribed off-label in acutely ill patients for non-psychiatric clinical indications such as delirium or insomnia. …”
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1012
Assessment of Coumarin Levels in Ground Cinnamon Available in the Czech Retail Market
Published 2012-01-01“…The objective of this study was to determine the coumarin content of ground cinnamon purchased from retail markets in the Czech Republic. No sample was labelled with information on the botanical source, but, in some cases, the countries of origin were specified. …”
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1013
Role of Tc-Sulesomab Immunoscintigraphy in the Management of Infection following Deep Brain Stimulation Surgery
Published 2011-01-01“…We set to evaluate the potential role of immunoscintigraphy with Tc-labelled antigranulocyte antibody fragments (Tc-sulesomab) in the management of infection following DBS. …”
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1014
Application of a Homogenous Assay for the Detection of 2,4,6-Trinitrotoluene to Environmental Water Samples
Published 2005-01-01“…This assay is based on changes in fluorescence emission intensity when TNT competitively displaces a fluorescently labeled, TNT analog bound to an anti-TNT antibody. …”
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1015
An Energy-Domain IR NUC Method Based on Unsupervised Learning
Published 2025-01-01“…Then, the coefficients of the model are learned without theoretical radiance labels by leveraging clustering-based unsupervised learning methodologies. …”
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1016
All Roads Lead to Rome?: Decadence, Paganism, Catholicism and the Later Life of Oscar Wilde
Published 2014-09-01“…In his travels through France and Italy between 1897 and 1900, Wilde labels the behaviour that led to his imprisonment as belonging to his decadent ‘pagan days’ and ‘Neronian hours’. …”
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1017
Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
Published 2014-01-01“…Supported by a token level memory to store labeled documents, the SRSMTC algorithm uses a text retrieval approach to solve text classification problems. …”
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1018
A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables
Published 2014-01-01“…In this study, we propose a variable precision attribute reduct for multilabel data based on rough set theory, called δ-confidence reduct, which can correctly capture the uncertainty implied among labels. Furthermore, judgement theory and discernibility matrix associated with δ-confidence reduct are also introduced, from which we can obtain the approach to knowledge reduction in multilabel decision tables.…”
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1019
A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples
Published 2016-01-01“…However, in many real applications, it may cause additional costs to provide an enough amount of supervised objects with class labels. A virtual sample approach is a practical technique for improving classification quality in semi-supervised learning, in which additional virtual samples are generated from supervised objects. …”
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1020
Semisupervised Kernel Marginal Fisher Analysis for Face Recognition
Published 2013-01-01“…SKMFA can make use of both labelled and unlabeled samples to learn the projection matrix for nonlinear dimensionality reduction. …”
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