8 research outputs found

    Evaluation of fatty acids in groomed fingerprint by gas chromatographic analysis using various extraction solvents and treatment methods

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    Extremely small amounts of fatty acids detected in latent fingerprints are important for studying fingerprint visualization and age determination through changes in composition over time. However, methods for efficiently extracting or recovering fatty acids from fingerprints have not been extensively studied. If accurate and stable quantitative estimations are established, age estimates will be possible through a better understanding of the fatty acid composition. The extraction solvent and treatment method are essential factors for achieving a reliable analysis of fatty acids. There have been few previous studies that efficiently compared fatty acids. In this study, fatty acids from sebaceous fingerprint residues were quantified with various extraction solvents and treatment methods and were evaluated with gas chromatography flame ionization detection (GC-FID). All data were analyzed using a statistical method.Center for Research and Development of Police science and Technology and Korean National Police Agency (PA-H000001) The Korea government (Ministry of Education) (NRF-2017R1D1A1B03030163) The Korea government (Ministry of Science, ICT and Future Planning) (MSIP) (No. NRF-2018M3C1B7020722) The Ministry of Health & Welfare, Republic of Korea (Grant Number:) (HI14C1277) Ministry of Science, ICT & Future Planning (NRF-2017M3A9E9072939) Seoul National University Hospital Research Fund (Grant 26-2015-0030

    Factors Influencing the Knowledge Gap regarding Influenza and Influenza Vaccination in the Context of COVID-19 Pandemic: A Cross-Sectional Survey in China

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    In the context of the COVID-19 global pandemic, promoting influenza knowledge and vaccine helps reduce the risk of dual pandemics and relieve the pressure on healthcare systems. Due to the low rate of influenza vaccination in China, we conducted a cross-sectional survey to investigate whether a knowledge gap regarding influenza and influenza vaccine exists between Chinese groups of different socioeconomic statuses and then explore the possible factors influencing knowledge level. A total of 951 valid questionnaires were collected online in this study. Variance analysis shows a knowledge gap regarding influenza and influenza vaccination between different socioeconomic status groups. Correlation analysis shows that internet media, social media, public communication, and interpersonal communication are positively associated with the knowledge level. Multilevel regression analysis shows a significant interaction between internet media and educational level. This study finds that internet media use helps narrow the knowledge gap between groups with different education levels. This article recommends a multi-channel promotion of influenza and vaccine knowledge and better pertinence between contents and readers
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