Asylum seeker trauma in a student-run clinic: reducing barriers to forensic medical evaluations

Introduction: The number of forcibly displaced immigrants entering the United States continues to rapidly increase. Movement from Latin America across the southern border of the United States was the third-largest migration worldwide in 2017; the U.S. now serves as home to one-fifth of the world’s migrants (Budiman, 2020; Leyva-Flores et al., 2019). Reporting on the first two years of clients receiving forensic medical evaluations (FMEs) conducted by clinicians trained at University of California, San Francisco (UCSF), this descriptive study demonstrates the multiple layers and types of trauma in asylum seekers presenting to a student-run asylum clinic (SRAC) at an academic medical center.   Methods: A retrospective review of the first 102 asylum seekers presenting to a university-affiliated SRAC for forensic medical and psychological evaluations is summarized. Demographics, immigration history, medical and mental health histories, descriptions of extensive trauma and referral patterns are reported. Multivariate statistics were employed to investigate the relationship between past trauma and current mental health status.   Results: Clients reported extensive trauma histories, with an average of 4.4 different types of ill-treatment per person, including physical, psychological, and sexual violence. The current mental health burden was extensive with 86.9 percent of clients reporting symptoms of PTSD and/or depression. Clients were evaluated within a clinic structure that intentionally aligns with SAMHSA’s implementation domains of trauma-informed care using a continuous improvement model to reduce barriers to FMEs and promote longitudinal follow-up and referral access.   Discussion: This study demonstrates the profound trauma exposure reported by asylum seekers, as well as the adaptation of a SRAC to better respond to complex trauma through intentional structural and leadership decisions. The HRC experience provides a blueprint for other asylum clinics to implement systematic trauma-centered services

Japanese documentary filmmaker Haneda Sumiko: authorship, representation and gender discourses

This chapter examines the work of Haneda Sumiko (1926-) one of the pioneering and most prolific documentary filmmakers in post-war Japan. Haneda´s filmmaking career started in the 1950s when she joined Iwanami Productions to make educational films and PR documentaries. She directed her first film in Iwanami in 1957, went freelance in the 1980s and have been making documentaries until recent years. The chapter explores Haneda´s early career, her authorship as woman filmmaker, and the discourses surrounding the reception of her films in recent years

Utilización de la minicomputadora raspberry pi con capacidad de comunicación wi-fi para la captura de imágenes mediante cámara y almacenamiento de información en base de datos externa

El presente trabajo de investigación permite el desarrollo de un prototipo con la utilización de la minicomputadora raspberry pi con capacidad de comunicación Wi-Fi aplicado a la captura de imágenes mediante una cámara digital para la transferencia de información a un computador-cliente donde será almacena. La fase de diseño del prototipo conllevó una minuciosa investigación del raspberry pi, esto es: capacidades, características técnicas y limitaciones; tomando en cuenta tanto aspectos de hardware (periféricos, accesorios e interfaces) como de software (sistemas operativos y lenguaje de programación aplicables). Durante la fase de implementación se desarrollaron y establecieron los procedimientos que permitan la captura de imágenes con la cámara digital seleccionada, la configuración de la comunicación inalámbrica con otro computador y la transferencia de imágenes a un computador. La validación del prototipo se realizó mediante pruebas integrales demostrando que el sistema implementado tiene la capacidad de capturar imágenes, procesarlas y enviarlas a una base de datos externa en un computador. El diseño e implementación presentado, está sustentado con el respectivo fundamento teórico y documentado con sus diagramas, fotografías y pruebas realizadas.This research paper is about the development of a prototype using the raspberry pi minicomputer with Wi-Fi communication capability applied to capture images using a digital camera to transfer information to a client computer, where it will be stored. The design phase of the prototype was conducted a thorough investigation of the raspberry pi, i.e. technical characteristics and limitations, taking into account both hardware (peripherals, accessories and interfaces) and software (operating systems and programming language applicable). During the implementation phase, the development team established the procedures to capture images with the selected digital camera, the configuration of the wireless communication with another computer and the transferring of images to another computer. The validation of the prototype was performed by comprehensive tests showing that the implemented system has the capacity to capture, process, and send images to an external computer. The design and implementation presented is supported with the respective theoretical framework and documented with diagrams, photographs and tests

Integrated stem cell signature and cytomolecular risk determination in pediatric acute myeloid leukemia.

Relapsed or refractory pediatric acute myeloid leukemia (AML) is associated with poor outcomes and relapse risk prediction approaches have not changed significantly in decades. To build a robust transcriptional risk prediction model for pediatric AML, we perform RNA-sequencing on 1503 primary diagnostic samples. While a 17 gene leukemia stem cell signature (LSC17) is predictive in our aggregated pediatric study population, LSC17 is no longer predictive within established cytogenetic and molecular (cytomolecular) risk groups. Therefore, we identify distinct LSC signatures on the basis of AML cytomolecular subtypes (LSC47) that were more predictive than LSC17. Based on these findings, we build a robust relapse prediction model within a training cohort and then validate it within independent cohorts. Here, we show that LSC47 increases the predictive power of conventional risk stratification and that applying biomarkers in a manner that is informed by cytomolecular profiling outperforms a uniform biomarker approach