Linden Hills

Linden Hills by Gloria Naylor marks psychological fragmentation which results into immense pain and suffering. Naylor, in this novel, addresses the physical and mental hierarchies which act as blockades in the higher purpose of human integration. This paper aims to investigate the saga of undiluted suffering in the lives of women in Linden Hills. The novelist shows in true colors how the black women become sacrificial lambs and receive the brunt of the frustration of the black males of their society. This paper is also a close study of black males mentality when they get unbridled power and exert it on all those who are subversive to them. Women become the easy victim of their ruthless power play. The tragedy is more intense because the women have been suffering for many generations. In every generation, Nedeed male marries a light-complexioned woman just to reduce her to a child-bearing tool. Failing that, the woman has to lead a life full of hardships and depravity. This paper analyses how her loud desires to stand against the institutionalized trauma herald a new era of freedom from pain and suffering.

True colors of global economy: In the shadows of racialized capitalism

This paper unpacks the notion of racial capitalism and highlights its salience for Management and Organization Studies. Racial capitalism is a process of systematically deriving socio-economic value from non-white racial identity groups, and has shaped the contours and trajectories of capitalism for over 500 years. Drawing on the contributions of W.E.B. Du Bois, Bourdieu, and a number of labor historians, we argue that whiteness operates as symbolic capital and status property in market conditions, and is therefore responsible for perpetuating economic inequalities along color lines all over the world. We demonstrate how the extra value placed on whiteness can create a shadowland of split labor markets, colorism, and transnational patterns of expropriation that systematically disadvantage populations of color.

True Colors: Chromaticity, Realism and Technological Honesty

I propose an application of agential realism to my practice as research, a film about my mother getting one tattoo covered with a new one, to investigate the material-discursive role played by the camera in determining meaning within the film image. I use my practice as a comparative case study, considering how a specific camera apparatus determines and negotiates standards of colour accuracy, and what it means to remove those colour values in post-production. I argue that the different colour processing of the same footage produces perceptible onto-epistemological difference, even while it remains indexically equivalent. Second, I will show exactly how this particular digital photosensitive technology meets the pro-filmic event to record colour, enacting agencies that reduce matter to fit a specifically programmed colour system, prior to any manipulation in post-production. The system itself draws the boundaries of accuracy it claims to achieve, with inevitable ethical implications.

The True Colors of “False” Color: Representing Data Chromatically in NASA Films

This paper investigates the multifaceted uses of color — not (only) to aesthetic ends, but as a tool for translating data into narrative — in a corpus of recent NASA films. Often called ‘false’ color or accused of manipulation, these uses of digital color stray from photorealism but nonetheless have a direct, measurable relationship with physical reality: they use data to render visible that which lies outside the spectrum of visible light. The focus of this paper is on the truth status of these digital films and on the practices used to produce them. It situates them, as a corpus, within and in response to film studies historiographies of color centered around spectacle and the dichotomy of fantasy versus reality, addressing how color can deploy the powers of the false to reveal otherwise invisible truths through art and artifice.

Your True Colors

This poem reflects the author’s heartbreak, disappointment, and the realization that people may not show who they truly are to one. The author describes feeling disappointment and a sense of guilt from a previous relationship. The person she thought she knew turned out to be someone who did not align with her values. The author is a Mexican American woman who immigrated to the United States as a teenager from Mexico. She found within herself to educate herself through her adult life seeking to erase internalized patriarchy and oppression. Living through such divisive political environment between 2017 and 2020, she began to realize people around her, in specific the relationship illustrated in the poem, were not who she thought they were. The author describes the end of the relationship with a play on words declaring that she does not want to see this person’s dull colors again.

Color Appearance Shifts Depending on Surface Roughness, Illuminants, and Physical Colors

Texture is an important synesthetic design element used in textile products. The three-dimensional surface of texture changes the amount and angle of reflected light causing a color appearance change from its original color. In this work, for a wide range of colors, it was quantitatively analyzed how the color appearances change depending on different textures and illumination, such as CIE standard illuminants A, F11, F2, and D65. It was found that strong-textured fabrics (with a surface roughness Ra of 0.46 mm) had larger hue appearance changes and consequent overall color appearance changes from their true colors due to illuminants than non-textured papers (with a surface roughness Ra of 0.03 mm). Between two types of fabrics with different textures of 0.25 and 0.46 mm, however, there was no significant difference in the magnitude of color appearance changes, indicating that the difference in surface roughness greater than 0.43 mm can produce significant differences in color appearance changes induced by illumination. It was also found that the magnitude and direction of color appearance changes under different CIE illuminants differed significantly according to the physical chroma and hue of the surface.

COVID 19 DISEASE PREDICTION VIA MACHINE LEARNING

<p>This research focuses primarily on a new worldwide problem: the continuing corona virus disease outbreak [COVID-19]. The disease originated from China and slowly it got spread to different places in the world and started showing its true colors .Reportedly it was known to have caused from bats. While some symptoms are severe, for a big portion of the population, symptoms are minor, and as a result, people may be unaware that they are infected with COVID-19 and hence fail to visit and be diagnosed by a doctor[1].Thus this paper mainly focuses on detecting whether a person is suffering from this disease or not. I have made a web app which will take in your current physical attributes such as your body temperature and other physical attributes and the web app will predict whether you are suffering from this disease or not. I have used machine learning techniques such as linear regression to predict whether the person suffers from the disease or not. This web app has a great accuracy and it will predict the outcome with precision and thus is a very helpful app.<b></b></p>

COVID 19 DISEASE PREDICTION VIA MACHINE LEARNING

<p>This research focuses primarily on a new worldwide problem: the continuing corona virus disease outbreak [COVID-19]. The disease originated from China and slowly it got spread to different places in the world and started showing its true colors .Reportedly it was known to have caused from bats. While some symptoms are severe, for a big portion of the population, symptoms are minor, and as a result, people may be unaware that they are infected with COVID-19 and hence fail to visit and be diagnosed by a doctor[1].Thus this paper mainly focuses on detecting whether a person is suffering from this disease or not. I have made a web app which will take in your current physical attributes such as your body temperature and other physical attributes and the web app will predict whether you are suffering from this disease or not. I have used machine learning techniques such as linear regression to predict whether the person suffers from the disease or not. This web app has a great accuracy and it will predict the outcome with precision and thus is a very helpful app.<b></b></p>

Using True Colors® to Match Individual’s Personality Traits with the Appropriate Volunteer Role for Success

Just as there are different reasons that people volunteer in the community, each volunteer has specific values, different needs to be fulfilled, and different strengths to offer to Extension programs. Understanding these characteristics and utilizing them in assigning the appropriate volunteer role will result in more success in their volunteer experience. Utilizing True Colors® when assigning volunteer roles and developing working groups and committees has proven effective in our county 4-H programs. Conflicts between volunteers who do not work well together have been lessened due to reassigning them to roles that best fit their personality types.