Chu Sun (silicachin45)

05). The accuracies obtained from the confusion matrix were respectively 74.1, 79.5, and 90.1% in classes I, II, and III in the mandibular curves and respectively 71.9, 73.9, and 75% in classes I, II, and III in the maxillary curves. Elliptic Fourier analysis can be used to find shape differences with an acceptable discriminatory capacity, especially in the mandible contour. Maxillary and mandibular bone curves each significantly defined facial biotypes regardless of the size and position properties. This exploration offers a way to quantify mandibular morphology for the construction of an economic mandibular prediction system applicable to the Latin American population. This exploration offers a way to quantify mandibular morphology for the construction of an economic mandibular prediction system applicable to the Latin American population.There is an urgent need to increase uptake and persistence in HIV pre-exposure prophylaxis (PrEP) in PrEP-eligible candidates. Little is known about the similarities and differences between groups of PrEP-naïve and former users, an important consideration for future interventions. We explored factors associated with being PrEP-naïve in a U.S. national cohort of naïve and former-PrEP users, all of whom met objective criteria for PrEP care at enrollment. Resatorvid Data were derived from the Together 5000 cohort study, an Internet-based U.S. national cohort of cisgender and trans men and trans women who have sex with men. Participants were recruited via ads on men-for-men geosocial networking apps. All participants were not on PrEP at the time of enrollment. We conducted bivariate analysis to explore differences between the two groups and used multivariable logistic regression to assess factors associated with being PrEP-naïve. Of the 6283 participants, 5383 (85.7%) were PrEP-naïve and 900 (14.3%) were former-PrEP users. There were significant differences between PrEP-naïve and former-PrEP users across multiple demographic variables, in addition to PrEP-related and psychosocial variables. Factors associated with being PrEP-naïve included younger age, sexual identity other than gay/queer, lower perception of candidacy for PrEP care, less willingness to take PrEP, lower access to PrEP care, and individual-level barriers such as health- and provider-related concerns. Programs and policies designed to address uptake and persistence of PrEP should be aware of these differences. Providing care in non-traditional LGBTQ-care settings, home-based PrEP interventions, and provision by healthcare providers other than physicians could improve uptake. Future research should investigate mechanisms that can improve uptake and persistence in communities in need of PrEP. Cancer-related fatigue (CRF) is a debilitating symptom experienced by many cancer patients. Although guidelines provide evidence-based recommendations for screening, assessing, and managing CRF, there is limited evidence of their implementation in practice. This study aimed to explore patients', healthcare providers' (HCPs), community support providers' (CSPs) experiences and opinions on CRF guidelines and the underlying causes of CRF treatment gaps following the Knowledge-to-Action model. A total of 62 participants were recruited-16 patients, 32 HCPs, and 14 CSPs-for a total of 9 focus groups and 4 individual interviews. Sessions were recorded and transcribed verbatim. Transcripts were analyzed using thematic analysis. There were gaps in the application of CRF guidelines and patient dissatisfaction with care. Two underlying mechanisms may contribute to these gaps. First, professionals' lack of knowledge and resources paired with systemic obstacles created difficult conditions to adequately address CRF-A Perfect Storm. Further, patient-provider communication gaps lead to patients feeling discouraged to report issues to their healthcare teams and turning to community services for he