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| http://dx.doi.org/10.1148/ryai.240261 | DOI Listing |
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Unmet Need for Family Planning in Spatial Analysis: A Systematic Review.
Iran J Public Health
December 2024
Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia.
Background: The unmet need for family planning is an indicator in monitoring and evaluating family planning programs in the decentralization era. Spatial analysis is an analytical tool that can understand the existence of family planning disparities among regions. This study aimed to conduct a systematic review of the application of spatial analysis in research related to the unmet need for family planning and to review its results.
View Article and Find Full Text PDFA text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels.
Sci Rep
January 2025
College of Computer and Control Engineering, Qiqihar University, Qiqihar, 161000, China.
Article Synopsis
- This study introduces MBConv-CapsNet, a new model for large-scale text classification that combines Mobile Inverted Bottleneck Convolutional Networks and Capsule Networks for better performance.
- The model effectively processes text by considering local and global information and transforming the original text data into a more efficient feature representation.
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Enhancing Persian text summarization through a three-phase fine-tuning and reinforcement learning approach with the mT5 transformer model.
Sci Rep
January 2025
Department of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
In the contemporary era, grappling with the vast expanse of big data presents a formidable obstacle, particularly when it comes to extracting vital information from extensive textual sources. The constant influx of news articles from various agencies necessitates an enormous amount of time to digest comprehensively. A viable solution to address this challenge lies in the realm of automatic text summarization, which is a pivotal and intricate endeavor within the field of natural language processing.
View Article and Find Full Text PDFPoint-of-care additive manufacturing: state of the art and adoption in Spanish hospitals during pre to post COVID-19 era.
3D Print Med
December 2024
Diagnostic Imaging Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025, Barcelona, Spain.
Background: 3D technologies [Virtual and Augmented 3D planning, 3D printing (3DP), Additive Manufacturing (AM)] are rapidly being adopted in the healthcare sector, demonstrating their relevance in personalized medicine and the rapid development of medical devices. The study's purpose was to understand the state and evolution of 3DP/AM technologies at the Point-of-Care (PoC), its adoption, organization and process in Spanish hospitals and to understand and compare the evolution of the models, clinical applications, and challenges in utilizing the technology during the COVID-19 pandemic and beyond.
Methods: This was a questionnaire-based qualitative and longitudinal study.
Depression in the COVID-19 endemic era: Analysis of online self-disclosures by young South Koreans.
PLoS One
December 2024
Department of Psychology, Yonsei University, Seoul, Republic of Korea.
Although COVID-19 has been declared endemic in South Korea, there are economic and psychosocial after-effects. One of these is the prevalence of depression. Depressed adolescents and young adults struggle with insecurity, loneliness, and lack of confidence due to the life limitations imposed during the pandemic.
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