Publications by authors named "A Falcon"

Objective: Latino sexual minority men (LSMM) experience intersecting stressors due to the marginalization of their sexual and ethnic minority identities, elevating risk for intimate partner violence (IPV). However, there is little understanding of IPV among LSMM, especially concerning how IPV may differ in LSMM compared to heterosexual women, on whom most of the literature is based. Therefore, the purpose of this study is to begin identifying nuances in IPV among LSMM as a first step toward tailored measurement and intervention development.

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Background: Human trafficking is a global health and human rights concern, involving the exploitation of people for forced labor, sex, or other forms of servitude. Although estimates vary, it's been reported that up to 88% of trafficked individuals have contact with health care providers during their captivity; yet many cases go unrecognized.

Purpose: This study aimed to explore existing human trafficking screening policies and procedures in health care facilities in two South Florida counties and to assess their comprehensiveness.

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Background: People with disabilities experience significant healthcare disparities, including missed opportunities for preventive, inaccessible services, and inadequate communication with providers. These challenges often lead to unmet healthcare needs and poor health outcomes. Disability disclosure is one strategy that may aid in closing this healthcare equity gap, though limited research sheds light on patient and caregiver feelings towards and preferences for disclosure.

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One of the medicinal plants used in Ecuador that has the best prospects for industrialization is guayusa ( Loes.). This review shows the potential of the species, analyzing the ethnobotanical aspects, ancestral uses, secondary metabolites, and research.

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: Deep learning (DL) has shown strong potential in analyzing food images, but few studies have directly predicted mass, energy, and macronutrient content from images. In addition to the importance of high-quality data, differences in country-specific food composition databases (FCDBs) can hinder model generalization. : We assessed the performance of several standard DL models using four ground truth datasets derived from Nutrition5k-the largest image-nutrition dataset with ~5000 complex US cafeteria dishes.

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