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20581
Understanding the daily work of the nurse-leader
Published 2011-08-01“…This is a qualitative study, of Thematic Analysis which aimed to learn about the nurse leaders’ perception from an institution of public education about their work. …”
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20582
Deterministic reservoir computing for chaotic time series prediction
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20583
TECNOLOGIAS DE INFORMAÇÃO E COMUNICAÇÃO: um estudo de caso com futuros professores de línguas
Published 2020-12-01“…It is a case study, as a qualitative method, using discursive textual analysis as a data analysis method. Thus, as a result, the speeches reveal that the formation of the future teachers involved encompasses the discussion about ICT, but not satisfactorily, revealing in their practices that future professionals tend to a technical perspective of teaching about ICT. …”
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20584
Prognostic prediction model for Chinese uveal melanoma patients based on matrix metalloproteinase-2 and -28 expression levels in the tumor
Published 2025-05-01“…Based on the differential gene expression levels and their function, MMPs family was selected for establishing risk-score system and prognostic prediction model with machine learning. Tumor microenvironment (TME) analysis was also applied for the impact of immune cell infiltration on prognosis of the disease. …”
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20585
Implementing Symptom-Based Predictive Models for Early Diagnosis of Pediatric Respiratory Viral Infections
Published 2025-04-01“…This study assessed the effectiveness of machine learning-based models in estimating infection probabilities for these common pediatric respiratory viruses, using symptom data. (2) Methods: Data were collected from 868 children with ARI symptoms evaluated across 14 primary care centers, members of COPEDICAT (Coronavirus Pediatria Catalunya), from October 2021 to October 2023. …”
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20586
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20587
Comparing a BCI communication system in a patient with Multiple System Atrophy, with an animal model
Published 2025-04-01“…To verify the effectiveness of the BCI system, it was also tested by implanting it in a non-human primate (NHP). Data from the human and NHP were used to train binary classifiers two different types of machine learning models: a Linear Discriminant Analysis (LDA) model, and a Long Short-Term Memory (LSTM)-based Artificial Neural Network (ANN). …”
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20588
Development and validation of a diabetes mellitus and prediabetes risk prediction function for case finding in primary care in Hong Kong: a cross-sectional study and a prospective...
Published 2022-05-01“…Data of 1857 Chinese adults without self-reported DM/Pre-DM will be extracted from the PHS 2014/2015 to develop DM/Pre-DM risk models using logistic regression and machine learning methods. 1014 Chinese adults without a known history of DM/Pre-DM will be recruited from public and private primary care clinics in Hong Kong. …”
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20589
Conclusions
Published 2018-12-01“…The study consisted of longitudinal data analysis using variables from the monitoring system – namely the EI and the energy labels. …”
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20590
Edge-aware joint neural denoising and normal estimation for mobile and handheld laser point clouds
Published 2025-07-01“…However, the acquired data are characterized by hight levels of noise and by low resolution, both affecting their consequent analysis and 3D modeling. …”
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20591
An Action Research on Basic Competence in Science and Technology in Social Studies Course
Published 2024-10-01“…Data analysis of the research was conducted using descriptive analysis method. …”
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20592
Promover la lectura de obras teatrales a través del blog docente Teatro en red
Published 2016-01-01“…With respect to the techniques of data collection, we have used the interview to reveal the voices of two teachers and, also, we have utilised the document analysis to know in depth the blog. …”
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20593
The impact of integrated genomic surveillance on non-typhoidal Salmonella infection in Australia: an ecological studyResearch in context
Published 2025-06-01“…We also conducted a sensitivity analysis using a multi-period DiD model with a double machine-learning estimator. …”
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20594
Understanding multimorbidity: insights with graphical models
Published 2025-04-01“…We emphasize the importance of considering multimorbidity as a network, where the variables involved are part of an interconnected system of interactions, to correct for spurious effects in the analysis. We show how to analyze the network structure learned from the data by introducing and explaining some centrality measures. …”
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20595
Political science and the history of migration
Published 2020-12-01“…Olaf Kleist points out how political scientists use historical analysis in migration studies in three ways: tracing developments, comparing cases, and analyzing the political use of migration history. …”
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20596
Puericulture: conceptions and practice of nurses in the Family Health Program
Published 2005-02-01“…The data collected, using semi-structured interviews carried out in the very place where the course was run, were submitted to analysis and organized in categories that represent the concepts and the ways that the nursing professional develops this practice, the possibilities and limitations of attending children in puericulture. …”
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20597
“Le brisement des vagues”.
Published 2020-06-01“…However, few is learned about the cosmological and mythological understanding of the world and the analysis contends that the ontological turn cultural anthropology may help unveiling a renewed understanding of the relationships between the Hawaiians and their environment.…”
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20598
Occurrence, Sources, and Prioritization of Per- and Polyfluoroalkyl Substances (PFASs) in Drinking Water from Yangtze River Delta, China: Focusing on Emerging PFASs
Published 2025-05-01“…Therefore, a machine learning-based suspect screening combined with target screening was employed to comprehensively identify and quantify both legacy and novel PFASs in drinking water from the Yangtze River Delta, and their potential sources of contamination were determined through pollutant profile analysis. …”
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20599
5hmC-profiles in Puerto Rican Hispanic/Latino men with aggressive prostate cancer
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20600
A novel peptide inhibitor of TRPM2 channels improves recovery of memory function following traumatic brain injury
Published 2025-04-01“…Histological analysis used to investigate brain injury volume at 7 days after TBI showed sex differences in response to injury in TRPM2 KO mice but no pharmacological effects in our WT mice. …”
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