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| http://dx.doi.org/10.1093/jnci/djn127 | DOI Listing |
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Background: With the rapid aging of the population, increasing life satisfaction among older adults is essential. Negative perceptions of older adults are internalized, leading to poor mental health. This study hypothesized that participants with more negative perceptions of older adults would have lower life satisfaction.
View Article and Find Full Text PDFHierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots.
Sci Rep
January 2025
Biotechnology Major, Sangmyung University, Seoul, 03016, South Korea.
Numerous studies have proven the potential of deep learning models for classifying wildlife. Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade. Although deep learning models typically perform better with more input data, the available wildlife data are ordinarily limited, specifically for rare or endangered species.
View Article and Find Full Text PDFCluster Analysis of HCC Prognosis Using Preoperative AFP and DCP Levels: A Multi-Institutional Study.
J Gastrointest Surg
January 2025
Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences Hiroshima University, Hiroshima University, Hiroshima, Japan.
Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, characterized by high recurrence rates post-curative resection. Tumor markers des-gamma-carboxy prothrombin (DCP) and alpha-fetoprotein (AFP) are crucial for HCC diagnosis and prognosis, yet their roles in the modern era of HCC epidemiology require reevaluation.
Methods: This multi-institutional retrospective study analyzed 1,515 patients who underwent hepatectomy for primary HCC.
Informing and engaging all actors in the land sector, including land-owners and managers, researchers, policy-makers and citizens, on the most effective sustainable land-based solutions and behavioural changes is a key strategy for achieving climate change adaptation and mitigation targets at the global as well as at EU and local level. One requisite to support actors in the land sector is to provide them publicly available, reliable and ready-to-use information related to the implementation of Land-based Adaptation and Mitigation Solutions (LAMS). Here we introduce a LAMS catalogue, a collection of meaningful quantitative and qualitative information on 60 solutions characterised according to a set of specifications (e.
View Article and Find Full Text PDFEmbedding-based pair generation for contrastive representation learning in audio-visual surveillance data.
Front Robot AI
January 2025
IDLab, Ghent University-imec, Ghent, Belgium.
Smart cities deploy various sensors such as microphones and RGB cameras to collect data to improve the safety and comfort of the citizens. As data annotation is expensive, self-supervised methods such as contrastive learning are used to learn audio-visual representations for downstream tasks. Focusing on surveillance data, we investigate two common limitations of audio-visual contrastive learning: false negatives and the minimal sufficient information bottleneck.
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