Suggested Topics within your search.
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901
Can implementation failure or intervention failure explain the result of the 3D multimorbidity trial in general practice: mixed-methods process evaluation
Published 2019-11-01“…Objectives During a cluster randomised trial, (the 3D study) of an intervention enacting recommended care for people with multimorbidity, including continuity of care and comprehensive biennial reviews, we examined implementation fidelity to interpret the trial outcome and inform future implementation decisions.Design Mixed-methods process evaluation using cross-trial data and a sample of practices, clinicians, administrators and patients. …”
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Qualitative process evaluation of a new short-hospital-stay model with a general medicine focus in Germany (STATAMED): Study protocol.
Published 2025-01-01“…The broader evaluation comprises multiple quantitative and qualitative sub-studies. The present sub-study involves a qualitative process evaluation investigating the factors influencing acceptance, the degree of implementation and the impact on daily workflows and care structures at STATAMED sites.…”
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904
Aerosol Composition in a Semi-Urban Environment in Central Mexico: Influence of Local and Regional Processes on Overall Composition and First Quantification of Nitroaromatics
Published 2025-07-01“…However, there have not been many studies on the sources and processes that influence the concentration of atmospheric pollutants. …”
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905
Developing a Model for Integrating Artificial Intelligence (AI) to Change the Organization’s Public Relations Unit’s Processes, With an Emphasis on Organizational Knowledge Managem...
Published 2025-03-01“…Future researchers could enhance the qualitative data obtained from interviews by incorporating quantitative data, thereby providing a broader perspective on the research problem. …”
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906
Relative vacuum reduction innovative processes applied in primary magnesium production—Comprehensive analysis of thermodynamics, resource, energy flow, and carbon emission
Published 2025-07-01“…Finally, and thermodynamic foundations of the relative vacuum, a quantitative analysis of the material, energy flows, carbon emission, and production cost for several new processes is conducted, comparing and analyzing them against the Pidgeon process. …”
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907
Advances in Neural Network assisted Tool Pressure Prediction
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908
Computational approaches for structural analysis of wood specimens
Published 2024-12-01“…The structure tensor (ST), also named a second-moment matrix, is a popular tool in image processing. Usually, its purpose is to evaluate orientation and to conduct local structural analysis. …”
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Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data
Published 2025-05-01“…A majority of hyperspectral super-resolution methods aim to enhance the spatial resolution of hyperspectral imaging data (HSI) by integrating high-resolution multispectral imaging data (MSI), leveraging rich spectral information for various geospatial applications. …”
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911
Data on Swiss consumers’ perception of different types of sustainability levies, agriculture and willingness to choose suboptimal potatoes in different settingsZenodo
Published 2025-06-01“…The survey includes three independent main parts.In a first part, we collected qualitative and quantitative data on participants’ perception of Swiss agriculture and farmers. …”
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912
A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data
Published 2025-08-01“…To address this challenge, we propose an innovative multimodal remote sensing data integration framework, ResoCroS-Net, which integrates ground (soil samples), air (unmanned aerial vehicle (UAV) images), and space (satellite images) data, realized effective integration of multimodal data at different resolutions, with particular innovations in hierarchical design and data-processing logic. …”
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913
Objective and Intelligent Acquisition of Two Types of Decision Data Based on Online Comment Information and Its Application in Emergency Decision-Making
Published 2025-08-01“…Second, based on the optimized SnowNLP, emotional tendencies and statistical analyses were performed on the processed comment data, resulting in two quantitative decision matrices, which were represented as single-valued neutrosophic numbers (SVNNs) and probabilistic linguistic terms (PLTs). …”
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914
The implementation of random survival forests in conflict management data: An examination of power sharing and third party mediation in post-conflict countries.
Published 2021-01-01“…In recent years, there has been an increased usage of machine learning methods in quantitative political science research. This article advocates for the implementation of machine learning duration models to assist in a sound model selection process. …”
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915
Development of Interactive e-Modules Based on Socio-Scientific Issues Integrated Micro-Project to Train Students' Understanding of Concepts and Science Process Skills
Published 2025-03-01“…The data collected includes qualitative data, such as interview results and input regarding the e-module development, and quantitative data in the form of questionnaire scores. …”
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916
Integrative multi-omics data from early development to identify the genes and cell types underlying attention-deficit/hyperactivity disorder
Published 2025-07-01“…Methods We applied the summary data-based Mendelian randomization (SMR) approach to integrate expression quantitative trait loci (eQTL) data derived from bulk post-mortem tissues, fetal brain tissues, and single-cell types from induced pluripotent stem cell (iPSC)-derived neurons and post-mortem brain samples with ADHD GWAS data. …”
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917
Exploring the Spatial Distribution Characteristics and Correlation Factors of Wayfinding Performance on City-Scale Road Networks Based on Massive Trajectory Data
Published 2021-01-01“…This paper proposes a quantitative and population-based evaluation method of wayfinding performance on city-scale road networks based on massive trajectory data. …”
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918
Integrative in Silico modeling for mTOR inhibition: From ridge classifiers to descriptor-free deep neural networks
Published 2025-01-01“…The GRU-QSAR and LSTM-QSAR models, which utilized tokenized SMILES, achieved accuracies of 0.9002 and 0.9021, F1-scores of 0.8595 and 0.8603, and AUCs of 0.9270 and 0.9529, respectively, leveraging their ability to process sequential data.…”
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919
CAREER TRANSITION PROCESS OF RURAL WORKERS IN NGHI SON ECONOMIC ZONE, THANH HOA PROVINCE, VIETNAM AFTER RESETTLEMENT DUE TO LAND ACQUISITION
Published 2025-04-01“…The study employed a mixed-methods approach, combining quantitative and qualitative data collection and analysis. …”
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920