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701
Integrated care teams in primary care improve clinical outcomes and care processes in patients with non-communicable diseases
Published 2023-07-01“…Results: Data from 3,302 EMRs (ICT = 1,723, UC = 1,579) from January 2016 to September 2017 was analysed. …”
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702
Predictive Model for <i>Listeria monocytogenes</i> in RTE Meats Using Exclusive Food Matrix Data
Published 2024-12-01“…The <i>Listeria</i> growth data in RTE food matrices, including RTE beef, pork, and poultry products (731 data sets), were collected from the literature and databases like ComBase. …”
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703
A Study on the Infrageneric Classification of <i>Hordeum</i> Using Multiple Methods: Based on Morphological Data
Published 2024-12-01“…RF analysis enhanced classification performance, achieving 100% accuracy at the section level and high accuracy for species with sufficient data. This approach offers a new framework for classifying diverse barley species and contributes significantly to data-driven decision-making in breeding and conservation efforts, supporting a deeper understanding of barley’s adaptive evolution in response to environmental changes.…”
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704
Structure of imported chicken market and willingness of distributors to accept domestically produced and processed chicken: evidence from Ghana
Published 2024-12-01“…This study provides an understanding of the structure of the frozen chicken market and examines whether the actors of the frozen chicken supply chain are willing to accept locally produced and processed chicken as one of their product lines. It employs primary data collected from 22 importers, 44 wholesalers and 117 retailers in Ghana. …”
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705
Late schizophrenia
Published 2020-12-01“…The organic factors that accompany the aging process make diagnosis difficult. Based on the consensus statement from an international group of experts in the field, this review discusses the features of schizophrenia in old age with a debut at a young age, late-onset schizophrenia (illness onset after 40 years of age) and very-late-onset schizophrenia-like psychosis (onset after 60 years). …”
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706
Physics-based machine learning for predicting urban air pollution using decadal time series data
Published 2025-01-01“…Effective air quality policies depend on accurate pollution predictions, even in countries with low pollution levels like Norway. Although LSTM networks are well-suited for time series data, they require large datasets and are computationally expensive, limiting their use for physical process data like air pollution dynamics. …”
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707
Role of transforming growth factor-β1 in regulating adipocyte progenitors
Published 2025-01-01“…Our data demonstrated that lack of CD206+ M2-like macrophages derived Tgf-β1 gene improved glucose metabolism and insulin sensitivity by enhancing adipogenesis via hyperplasia. …”
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708
Impact of Sleeve Gastrectomy on Body Weight and Food Intake Regulation in Diet-Induced Obese Mice
Published 2024-11-01Get full text
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709
MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data
Published 2025-01-01“…For each analyzed HRMS feature, MLinvitroTox generates a 490-bit bioactivity fingerprint used as a basis for prioritization, focusing the time-consuming molecular identification efforts on features most likely to cause adverse effects. The practical advantages of MLinvitroTox are demonstrated for groundwater HRMS data. …”
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710
Playing With Data: A Board Game-Inspired Technique to Engage Local Stakeholders in Participatory Qualitative Analysis
Published 2025-03-01“…The tutorial outlines a three-step process in which local stakeholders participate in the second step, working with condensed, pre-coded data fragments in a game-like setting to address key questions. …”
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711
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High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science
Published 2014-01-01“…High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. …”
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714
Machine learning to predict killer whale (Orcinus orca) behaviors using partially labeled vocalization data
Published 2025-06-01“…A significant challenge in this process is lack of labeled data. This paper works with recent recordings of McMurdo Sound orcas where each recording is labeled with the behaviors observed during the recording. …”
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715
Bibliometric trends and patterns in Tasar silkworm (Antheraea mylitta) research: a data report (1980–2024)
Published 2025-04-01Get full text
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716
CircPac: A web-based analysis toolset for exploring circular RNA dataGitHub
Published 2025-08-01“…However, a comprehensive analysis tool for analyzing circRNA data is still required. Here, we present CircPac, a newly developed web-based toolset that searches databases like circBase, circBank, and circRNADisease and organizes data to provide and visualize circRNAs information. …”
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Toward characterization of perceptual specialization for faces in Multiracial contexts
Published 2024-12-01“…Historical and present-day challenges faced by researchers in defining what race is, identifying Multiracial individuals or contexts, and how to study perceptual and cognitive processes in this population are discussed. We propose to leverage current data from developmental Multilingual populations as a guide for future research questions and hypotheses characterizing perceptual specialization based on face race for Multiracial/Multiethnic individuals and contexts. …”
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719
SAFER-predictor: Sparse adversarial training framework for robust traffic prediction under missing and noisy data
Published 2025-12-01“…Accurate traffic flow forecasting is essential for developing intelligent transportation systems (ITSs) to reduce congestion, optimize road management, and improve safety. While data-driven traffic prediction approaches have shown high accuracy, they rely heavily on precise measurements, making them vulnerable to perturbed environmental factors, like sensor malfunctions, data storage issues, and adverse weather conditions. …”
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720
Anime popularity prediction before huge investments: a multimodal approach using deep learning
Published 2025-06-01Get full text
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