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Browsing by Issue Date, starting with "2025-01-20"

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  • Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique
    Publication . Pinheiro, Rafael F.; Guarino, Maria P.; Lages, Marlene; Fonseca-Pinto, Rui
    Diabetes is a disease that affects millions of people in the world and its early screening prevents serious health problems, also providing relief in the demand for healthcare services. In the search for methods to support early diagnosis, this article introduces a novel prediabetes risk classification algorithm (PRCA) for type-2 diabetes mellitus (T2DM), utilizing the chemosensitivity of carotid bodies (CB) and K-means clustering technique from the field of machine learning. Heart rate (HR) and respiratory rate (RR) data from eight volunteers with prediabetes and 25 without prediabetes were analyzed. Data were collected in basal conditions and after stimulation of the CBs by inhalation of 100% of oxygen and after ingestion of a standardized meal. During the analysis, a greater variability of groups was observed in people with prediabetes compared to the control group, particularly after inhalation of oxygen. The algorithm developed from these results showed an accuracy of 86% in classifying for prediabetes. This approach, centered on CB chemosensitivity deregulation in early disease stages, offers a nuanced detection method beyond conventional techniques. Moreover, the adaptable algorithm and clustering methodology hold promise as risk classifications for other diseases. Future endeavors aim to validate the algorithm through longitudinal studies tracking disease development among volunteers and expand the study’s scope to include a larger participant pool.
    2025-01-20Journal article Open access Show more
  • Sustainable HRM Impact on Employees' Behaviors Through Workplace Spirituality
    Publication . Gomes, Gabriela; Coelho, Arnaldo; Ribeiro, Neuza
    This study explores the link between sustainable HRM, workplace spirituality (WS), and employee behaviors, namely, organizational citizenship behavior for the environment (OCBE) and proactive behavior (PB). Utilizing a double source data collection method, this research incorporates the perspectives of both managers and employees. A sample of 314 dyads was analyzed. Structural equation modeling was employed to test the proposed hypotheses. It was found that sustainable HRM positively influences WS and OCBE. However, no significant direct impact was identified on PB. WS acts as a full mediator in this relationship. These results also show a strong association between WS and OCBE. This study underscores the crucial role of sustainable HRM in fostering WS and promoting OCBE while raising important questions about PB in a sustainability context. These insights contribute to understanding how organizations can use sustainable HRM to enhance employee responsible behaviors and create a workplace that supports employees' spiritual well‐being.
    2025-01-20Journal article Restricted access Show more