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    Wyświetlanie 1-3 z 3
    Tytuł:
    Impact of loneliness in the elderly in health care: a cross-sectional study in an urban region of Portugal
    Autorzy:
    Rocha-Vieira, Catarina
    Oliveira, Gustavo
    Couto, Luciana
    Santos, Paulo
    Powiązania:
    https://bibliotekanauki.pl/articles/551833.pdf
    Data publikacji:
    2019
    Wydawca:
    Stowarzyszenie Przyjaciół Medycyny Rodzinnej i Lekarzy Rodzinnych
    Tematy:
    geriatrics
    loneliness
    social isolation polypharmacy
    poverty
    family conflict.
    Opis:
    Background. Loneliness is a subjective, complex and multi-dimensional feeling, having a significant impact on mental health. It is related to intrinsic and extrinsic factors. Objectives. The aim of this study is to evaluate the impact of loneliness in elderly patients in medical care. Material and methods. We conducted a cross-sectional study of a sample of 150 participants, aged ≥ 65 years, interviewed by a structured questionnaire, including the University of California Los Angeles Loneliness Scale (UCLA -LS ), for assessment of loneliness. Other variables included socio-demographic characterisation and family dysfunction. Total medication prescription and polymedication were used to assess the medical care assistance profile. Logistic regression was used for multivariate analysis. Results. The prevalence of moderate to severe loneliness was 36% (95% CI: 28.3–44.2%), higher with ageing, without differences between gender. The greatest impact in loneliness occurred in the presence of family dysfunction, income dissatisfaction, living alone and ageing. Being married/in a non-marital partnership and maintaining professional activity appeared as protective factors. The perception of loneliness was related with polymedication, with higher levels of loneliness matching with higher polymedication. Conclusions. Loneliness is common in the geriatric population and interferes significantly with health care; thus, it can be considered a determinant of health. Incorporating this factor into clinical decision reasoning is crucial for better health care.
    Źródło:
    Family Medicine & Primary Care Review; 2019, 2; 138-143
    1734-3402
    Pojawia się w:
    Family Medicine & Primary Care Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deep features extraction for robust fingerprint spoofing attack detection
    Autorzy:
    Souza de, Gustavo Botelho
    Silva Santos da, Daniel Felipe
    Gonçalves Pires, Rafael
    Nilceu Marana, Aparecido
    Paulo Papa, Joao
    Powiązania:
    https://bibliotekanauki.pl/articles/91725.pdf
    Data publikacji:
    2019
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    restricted Boltzmann Machines
    Deep Boltzmann Machines
    deep learning
    fingerprint spoofing detection
    biometrics
    Opis:
    Biometric systems have been widely considered as a synonym of security. However, in recent years, malicious people are violating them by presenting forged traits, such as gelatin fingers, to fool their capture sensors (spoofing attacks). To detect such frauds, methods based on traditional image descriptors have been developed, aiming liveness detection from the input data. However, due to their handcrafted approaches, most of them present low accuracy rates in challenging scenarios. In this work, we propose a novel method for fingerprint spoofing detection using the Deep Boltzmann Machines (DBM) for extraction of high-level features from the images. Such deep features are very discriminative, thus making complicated the task of forgery by attackers. Experiments show that the proposed method outperforms other state-of-the-art techniques, presenting high accuracy regarding attack detection
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 1; 41-49
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Seroprevalence of SARS-CoV-2 and assessment of epidemiologic determinants in Portuguese municipal workers
    Autorzy:
    Barros Ferreira, Nuno
    Pereira, Helena
    Pereira, Ana M.
    Azevedo, Luís F.
    Santos, Mariana
    Maranhão, Priscila
    Correia, Ricardo
    Fonseca, João A.
    Canedo, Paulo
    da Costa Pereira, Altamiro
    Sousa-Pinto, Bernardo
    Powiązania:
    https://bibliotekanauki.pl/articles/2084912.pdf
    Data publikacji:
    2022-06-08
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    SARS-CoV-2 infection
    COVID-19 pandemic
    COVID-19 virus
    COVID-19 serodiagnosis
    COVID-19 antibody testing
    SARS-CoV-2 infection serological testing
    Opis:
    ObjectivesTo assess the seroprevalence of SARS-CoV-2 antibodies in municipal employees of Northern Portugal during the first pandemic wave (May–June 2020) and its association with potentially related risk factors for infection.Material and MethodsThe authors assessed municipal employees of 2 cities in Northern Portugal, in whom serological tests to SARS-CoV-2 and an epidemiological survey were applied. The authors assessed the proportion of individuals presenting IgM and/or IgG antibodies to SARS-CoV-2, and evaluated the association between having positive serological test results, epidemiologic variables and clinical presentations. Reported symptoms were evaluated on their sensitivity, specificity, and predictive values.ResultsThe authors assessed 1696 employees, of whom 22.0% were firefighters, 10.4% were police officers, 10.3% were maintenance workers, and 8.1% were administrative assistants. The seroprevalence of SARS-CoV-2 infection was 2.9% (95% CI: 2.1–3.7%). Administrative assistants comprised the professional group with highest seroprevalence of SARS-CoV-2 (OR = 1.9 in the comparison with other occupational groups, 95% CI: 0.8–4.3, p = 0.126). The seroprevalence of SARS-CoV-2 infection among those who were in direct contact with COVID-19 patients in their professional activity was 3.9%, compared to 2.7% among those who were not in direct contact with such patients (OR = 1.5, 95% CI: 0.8–2.8, p = 0.222). The highest risk of infection was associated with the presence of a confirmed SARS-CoV-2 infection in the household (OR = 17.4, 95% CI: 8.3–36.8, p < 0.001). Living with a healthcare professional was not associated with a higher risk of infection (OR = 1.0, 95% CI: 0.4–2.5, p = 0.934). Anosmia/dysgeusia was the symptom with the highest positive predictive value (52.2%, 95% CI: 31.8–72.6, p < 0.001) and specificity (99.3%, 95% CI: 98.9–99.7, p < 0.001), while cough was the most prevalent symptom among SARS-CoV-2 seropositive participants (36%).ConclusionsThe authors observed a SARS-CoV-2 seroprevalence of 2.9% among assessed municipal employees. Anosmia/dysgeusia was the COVID-19 symptom which displayed the highest positive predictive value and specificity.
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2022, 35, 3; 297-307
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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