Universidad Psicología Industrial Dominicana

This research focuses on developing Canva-based Task-Based Language Teaching (TBLT) media, enriched with the local Patu Cambe culture, to enhance students' English speaking skills. The study addresses the problem of low speaking proficiency among students, characterized by difficulties in pronunciation, vocabulary, self-confidence, and a lack of engaging learning media. The proposed solution integrates TBLT with visual media like Canva and local cultural content to foster interactive and creative learning, thereby increasing emotional involvement and cultural identity. The research employs a Research and Development (R&D) approach using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The target participants are students from the English Language Education Study Program at STKIP Al Amin Dompu. The study demonstrates that combining task-based learning approaches with digital tools like Canva creates engaging and interactive learning environments that foster greater motivation, confidence, and fluency among students. The integration of culturally relevant content, such as Patu Cambe, serves as a mediational tool that not only facilitates language development but also strengthens students' cultural identity, making learning more meaningful and contextually relevant. The quantitative results support this, showing a statistically significant increase in posttest scores from 78.47 to 86.06 (p < 0.001), with a large effect size, indicating the effectiveness of this approach in improving speaking proficiency

Dengue is endemic throughout the tropical areas of the Americas, but little is known about its regional dynamics. We examined seasonal and multiannual dengue trends across the Americas and possible underlying mechanisms using monthly dengue surveillance data from 14 countries. We collected monthly dengue case data from 241 subnational locations in 14 countries, ranging from 1985 to 2018 (6 to 22 years), and used wavelet analysis to isolate seasonal (8 to 16 months) and multiannual (17+ months) patterns. For each location, we assessed seasonal and multiannual dynamics as well as coherence and differences in timing of dengue cycles between 22,578 location pairs. We assessed patterns in coherence over time and space and compared these patterns to variations in temperature, rainfall, and El Niño Southern Oscillation patterns. Strong synchrony in dengue dynamics was identified across the region at the seasonal and multiannual scales. Seasonal dengue dynamics were associated with local climate patterns and dengue dynamics in nearby locations. High synchrony at multiannual scales indicated that large dengue epidemics were shared across the region, with an average temporal lag of only 6 months at distances of up to 10,000 kilometers. Synchrony of these epidemics likely reflects both regional climate variability and human movement. Observed dengue dynamics were not unique to individual countries in the Americas but rather extended across the region reflecting climatic and nonclimatic drivers. These findings can support the development of better early warning tools to support epidemic preparedness and response and underscore the importance of working collaboratively across borders.

La terapia de conversión (TC) es un enfoque que utiliza terapias tradicionales (ej., terapia de aversión, terapia cognitiva-conductual, terapia individual, psicoanálisis, etc.) para cambiar la orientación sexual de un individuo de homosexual a heterosexual. Esta terapia es controversial en varias regiones del mundo, y es muy difícil para los profesionales de la salud mental (ej., psicólogos, psiquiatras) atareados en su práctica clínica tener el tiempo requerido para determinar en cuales de esas regiones el uso de esa terapia no es prohibida, prohibida, o ambiguo. Este artículo provee la información que esos profesionales deben tener para evitar problemas éticos y legales con el uso de la TC en contextos clínicos.

Abstract Background: Breast cancer (BC) is the most common malignancy and one of the leading causes of cancer death in women in Latin America (LATAM). Studies have highlighted the importance of understanding contextual characteristics of each patient population to inform health policy-making. However, few data are available on women from LATAM, a region with marked inequalities. Methods: LATINA (LACOG 0615/MO39485) is a multicenter prospective cohort study designed to describe sociodemographic characteristics, diagnosis, treatment, and outcomes of patients with BC in LATAM. Female and male patients aged ≥18 years newly diagnosed (i.e., < 12 months from research site activation) histologically confirmed clinical stage I-IV BC were enrolled. Eligible patients provided informed consent and had data collected from medical records at diagnosis and every 6 months up to 5 years. Results: Between February 2020 and August 2022, 3276 patients with BC from 31 research sites in 10 LATAM countries were included. Median age was 54 years (range 23–95), 91.8% (N=3008) were Hispanic or Latinos, the majority (68%, N=2224) were diagnosed with stage II or III BC, and 73% (N=2362) were treated in the public health system. Age, stage and detection method stratified by education level, marital status and employment status are shown in Table 1. Overall, 38.8% (N=1149) of patients had not completed high school. These patients were more frequently diagnosed by symptoms and diagnosed at later stages than those who had completed high school or college. Half of the patients were married/in a civil partnership at BC diagnosis (50.5%, N=1497). Unmarried patients were more commonly diagnosed by symptoms (71.7%, N=835 vs. 64%, N=916, p< 0.001) and with stage II/III BC (71.4%, N=868 vs. 67.6%, N=1038, p< 0.001) than married patients. Most patients (54.1%, N=1603) were not employed at BC diagnosis. Patients not employed were more frequently diagnosed by symptoms (68.8%, N=1044) than employees/self-employed (61.6%, N=675). After adjusting for age, country, health care provision (public or private), stage, and BC subtype, being diagnosed by symptoms was associated with not being married (adjusted odds ratio [aOR] 1.41, 95% CI 1.11–1.82, p=0.004), being not employed (aOR 1.41, 95% CI 1.08–1.84, p=0.011), and not having completed high school (aOR 1.46, 95% CI 1.00–2.13, p=0.031). Conclusions: Patients with a lower level of education, unmarried and not employed, are more likely not to perform BC screening and to be diagnosed by symptoms. Socioeconomic characteristics impact the method of detection of BC in LATAM and are associated with diagnosis at later stages. Further analyses of the LATINA study will provide invaluable data for informing regional health policy-making in LATAM. Citation Format: Gustavo Werutsky, Cynthia Villarreal-Garza, Henry Gómez, Juan Manuel Donaire, José Bines, Luis Henrique Fein, Maria Clara Horsburgh, Paula Cabrera-Galeana, Heloísa Resende, Rosa Vasallo Veras, Miriam Raimondo, Ricardo Elías Brugés Maya, Vidal Maria Del Rosario, Yeni Nerón, Ana Maria Donoso, Fernanda B. Damian, José D'Oliveira, Couto Filho, Maria Isabel Alonso, Victoria Costanzo, Tomás Reinert, Adriana Elizabeth Borello, Eduardo Cronenberger, Luis Fein, Marcela Urrego, Enrique Alanya, Jorge Luis Soriano García, Saúl Campos-Gomez, Eduardo A. Richardet, Hugo Castro-Salguero, Felipe Cruz, Diego Gómez, Angel Hernández, Carlos Alberto Farfan Tello, Ronald Rodríguez, Rafaela Jesus, Gustavo Gössling, Carlos Barrios. The Impact of Socioeconomic Factors on Breast Cancer Diagnosis in Latin America: The LATINA study (LACOG 0615/MO39485) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-10-05.

Este estudio analiza la prevalencia y características de comorbilidades en 534 niños con Síndrome de Down (SD) en la República Dominicana, entre 2018 y 2022. La investigación revela una detección temprana del SD, con una distribución equitativa de género. La mayoría de los casos resultaron de la no disyunción, con una asociación significativa entre la edad materna avanzada y el aumento en el riesgo de SD. Alrededor del 62.2% de los niños presentaron comorbilidades, con condiciones cardíacas como las más prevalentes, seguidas por comorbilidades endocrinas y neurológicas, principalmente hipotiroidismo y trastornos epilépticos. Las afecciones oftálmicas y otorrinolaringológicas también fueron comunes, destacando el estrabismo y la hipoacusia. Los hallazgos enfatizan la necesidad de un manejo temprano e integral adaptado a las características individuales y regionales de los pacientes con SD.

This study analyzes the prevalence and characteristics of comorbidities in 534 children with Down Syndrome (DS) in the Dominican Republic, between 2018 and 2022. The research reveals early detection of DS, with an equal gender distribution. Most cases resulted from nondisjunction, with a significant association between advanced maternal age and increased risk of DS. About 62.2% of the children had comorbidities, with cardiac conditions being the most prevalent, followed by endocrine and neurologic comorbidities, mainly hypothyroidism and seizure disorders. Ophthalmic and otorhinolaryngologic conditions were also common, with strabismus and hypoacusis standing out. The findings emphasize the need for early and comprehensive management adapted to the individual and regional characteristics of patients with DS.

Este artigo tem como objetivo analisar os impactos da Inteligência Artificial (IA) na advocacia brasileira, destacando as mudanças e desafios que essa tecnologia traz para o cenário jurídico do país. A pesquisa visa compreender as implicações éticas, regulatórias e práticas da IA na advocacia e discutir como essa tecnologia pode ser usada de maneira responsável e benéfica no campo jurídico.

A Internet das Coisas (IoT) e a Inteligência Artificial (IA) compreendem inovações tecnológicas conhecidas como tecnologias 4.0 que permitem a fusão dos domínios físicos, digitais e biológicos e que se destacam pela velocidade, amplitude e profundidade de suas aplicações. A aplicação das tecnologias 4.0 se deu inicialmente para a indústria de transformação, mas, atualmente, já vêm sendo adotadas em diversos setores, como é o caso do setor agropecuário. Neste setor, estas tecnologias têm um alto potencial para permitir o desenvolvimento, remodelar significativamente as cadeias de valor e contribuir muito para sistemas alimentares mais produtivos, resilientes e transparentes. No Brasil, há um grande público que ainda não adota ou considera este tipo de tecnologia em seu processo produtivo. No que diz respeito à pecuária, especialmente à cadeia produtiva de frango de corte, identifica-se um desafio na padronização da produção, em especial, quanto à desuniformidade do peso das aves ao final de seu ciclo de engorda, que ocorre devido a fatores ambientais e de manejo. Este artigo tem o propósito de apresentar informações gerais sobre um projeto piloto de adoção de IoT e IA em 15 aviários de produtores rurais associados a uma cooperativa do sul do Brasil, para o monitoramento constante de aves, permitindo tomadas de decisões de manejo mais assertivas, tendo como foco o aumento da qualidade dos frangos produzidos, maior lucratividade, maior controle sanitário dos ambientes de produção e atendimento aos preceitos do bem-estar animal. Ao final do projeto, com a solução, foi possível identificar um aumento de produtividade de 7% e os desafios para a difusão.