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Color vision deficiency (CVD) or color blindness is an ocular disorder that hinders the patients from distinguishing shades of certain colors. Color blind patients are often not considered for critical occupations (e.g., military, police) and cannot differentiate colors in public places or media (i.e., watching TV). The most common form of color blindness is red-green, which is a result of either a missing or defective red or green photoreceptor cone. Since no cure for this disorder exists, sufferers opt for methods to enhance their color perception. The products and methods that have been developed to aid CVD patients are discussed. These technologies include contemporary work on gene therapy, tinted glasses, lenses, optoelectronic glasses, and advanced features developed on smartphones and computers. Among these wearables, tinted glasses, developed by companies such as Enchroma, are the most widely used by CVD patients.

Comunicació presentada a: SMPTE 2016 Annual Technical Conference and Exhibition, celebrada a Los Angeles, Estats Units d'Amèrica, del 25 al 27 d'octubre de 2016. ; While wide color gamut (WCG) capabilities are a key element of emerging display and projection technologies, at present most image content is recorded using standards such as DCI-P3 for cinema or BT.709 for TV that have a reduced color gamut. Therefore, there is a need for gamut extension methods that process regular content and allow to appreciate the full color potential of new displays, improving user experience. We present a gamut extension algorithm that is based on visual perception models and explicitly takes into account low chromatic colors such as skin tones. It produces results that look natural, are free of artifacts of any kind, and outperform the state of the art. The method is fast, allowing for operation interaction if needed. ; This work was supported by the European Research Council, Starting Grant ref. 306337, by the Spanish government and FEDER Fund, grant ref. TIN2015-71537-P (MINECO/FEDER,UE), and by the Icrea Academia Award.

AbstractThis study examines how a set of organizational characteristics relates to a nonprofit's likelihood of having a chief executive officer (CEO) of color, focusing on board diversity, revenue streams, risk aversion, and organizational capacity. The analysis of 2150 501(c)(3) organizations with the GuideStar Platinum Seal of Transparency reveals a positive association between board racial diversity and having a minority CEO, with the likelihood of having a CEO of color increasing by 1.1% when the proportion of racial minorities on the board increases by 1%. Findings also show that the likelihood of having a CEO of color increases with the number of paid staff and that environmental and animal‐focused organizations are less likely to have a CEO of color. Overall, the findings suggest that building a racially diverse board is key to improving the racial diversity of nonprofit executive leadership.

Abstract
COVID-19 has awakened the country to a heightened state of daily, ongoing readiness for pandemic risk. Following the 9/11 terrorist attacks, the U.S. Government released a color-coded alert system to inform the public and support appropriate response, but the system was of little utility to most people. In the context of pandemic, where significant modifications to daily life are required and which change with local and regional transmission risk, the time for a color-coded alert system may have finally come

Tradicionalmente, las mediciones de color se han vinculado a equipos caros y difíciles de manejar. El conjunto de transformaciones matemáticas que se necesitan para transferir un color que observamos en cualquier objeto que no emita su propia luz (que se suele llamar un objeto de color) para que pueda ser mostrado en una pantalla de computadora o impreso en papel No es nada trivial. Esto generalmente requiere un conocimiento profundo de los espacios de color, las transformaciones colorimétricas y los sistemas de gestión del color. En este artículo se presenta el sensor de color TCS3414CS (I2C Sensor Color Grove), un sistema de captura, procesamiento y gestión del color que permite el color de cualquier objeto no luminoso mediante un hardware de bajo costo basado en Arduino. Se ha desarrollado un software específico en Matlab y se ha realizado un estudio de la linealidad de los canales cromáticos y la precisión de las mediciones de color para este dispositivo. Todos los scripts utilizados (Arduino y Matlab) se adjuntan como material complementario. Los resultados muestran valores de exactitud aceptables que, aunque obviamente no alcanzan los niveles obtenidos con los otros instrumentos científicos, por la diferencia de precio presentan una buena opción de bajo coste. ; Color measurements have traditionally been linked to expensive and difficult to handle equipment. The set of mathematical transformations that are needed to transfer a color that we observe in any object that doesn't emit its own light (which is usually called a color-object) so that it can be displayed on a computer screen or printed on paper is not at all trivial. This usually requires a thorough knowledge of color spaces, colorimetric transformations and color management systems. The TCS3414CS color sensor (I2C Sensor Color Grove), a system for capturing, processing and color management that allows the colors of any non-self-luminous object using a low-cost hardware based on Arduino, is presented in this paper. Specific software has been developed in Matlab and a study of the linearity of chromatic channels and accuracy of color measurements for this device has been undertaken. All used scripts (Arduino and Matlab) are attached as supplementary material. The results show acceptable accuracy values that, although obviously do not reach the levels obtained with the other scientific instruments, for the price difference they present a good low cost option. ; This work was supported by the grant GRU10102 of the Regional Government of the Junta de Extremadura, and partially financed by the European Regional Development Fund. ; peerReviewed

This article describes an American community survey and a survey of business owners of which the data are merged to assess the experiences of minority- versus white-owned small businesses between 2007 and 2012. This is highlighted due to it being a period encompassing the worst economic downturn since The Great Depression. White firms declined while minority firms grew rapidly. Despite recent efforts to create inclusive entrepreneurial and business ecosystems, however, minority business owners made little progress toward achieving equity or parity with white business owners. Policy prescriptions and implications for future research are discussed.