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Relational resources: Moving from plural to entangled extractivisms
Get PDFIncreasing studies of extractivisms, in the plural, examine the diverse politics that permeate extractive activities. However useful, this appeal to plurality is problematic. Plurality without relationality risks justifying some extractive activities over others, without addressing how they relate. Drawing on anti-essentialist, decolonial, and political ecological scholarship, this article proposes an ontological reframing of extractivisms that troubles the division and comparison that pervade notions of taxonomic plurality, and emphasizes the mutual constitution articulated within the concept of relationality. Analyses of relational resources are better equipped to illuminate the power-laden associations through which supposedly distinct commodity values, extractive geographies, sectors, and governance regimes shape one another. Beyond complicating rigid definitions of extractive categories, this ontological shift requires distinct methodologies for understanding and contesting entangled extractive interests and logics. It implicates what forms of anti-extractive resistance, solidarities, and alternative futures become viable, thinkable, and necessary
EMF revisited
Get PDFThis paper was inspired by a recent publication by Redžíc (2018 Eur. J. Phys. 39 025205) which threw into bold relief the differences between the way Maxwell viewed the current and the way Lorentz visualized it. We make the assumption that for a circuit of laboratory dimensions current (and charge perturbation effects in general) can be assumed to propagate instantaneously around the loop. Our second fundamental assumption is the commonly accepted one that E is the force per unit charge on a stationary charge. We use these facts to make the usual definition of electromotive force more rigorous and to derive the Lorentz force formula
Mitigating Learning Bias in Healthcare Datasets
Get PDFCVDs have been a major cause of deaths worldwide with WHO reporting 17.9 million deaths annually. Although there are advancements in the treatment of these diseases, most of the fatalities are a result of untimely diagnosis. Active research is going on to collect data points and risk factors related to these diseases, which can enable early diagnosis. Of the datasets available, many researchers have employed different ML models to predict/detect the prevalence of heart diseases. Many employed Tree based, regression models [3, 6]. Few also tried ensemble approaches [1, 2, 4]. These healthcare datasets are generally found to be imbalanced. This can lead to learning bias with ML models predicting the dominant class better. Few researchers tried to tackle this problem by using common sampling techniques such as SMOTE and random oversampling [4, 5]. However, there hasn’t been an extensive study done to evaluate different techniques for this disparity in the healthcare datasets. This project aims to employ advanced techniques, e.g. Generative Adversarial Networks (GAN) based architectures and weighted Random Forest, to counter this disparity found in CVD datasets and thus, enable the ML models to learn better and predict
Development of the Roadway Pothole Management Program
Get PDFAddressing the issue of potholes is a primary concern for maintaining urban infrastructure. The research team has developed a prototype pothole management program. The program includes a mobile application and two machine learning models. The mobile app enables users to upload images of potholes, report relevant information, and provide driving directions to the pothole location. With the help of this application, the user can seamlessly capture images of the potholes, record pertinent information, and submit the data for necessary action. The mobile application is an essential tool in the Pothole Management Program (PMP), as it enhances the program\u27s efficiency, effectiveness, and user experience. The program utilizes two machine learning models. The first model, Visual Geometry Group (VGG16), uses deep learning neural network technology to classify potholes with over 90% accuracy. The second machine learning model, You Only Look Once (YOLO), has been designed to detect and accurately mark potholes on submitted photos. Overall, this innovative pothole management program offers a comprehensive solution to help address the critical issue of potholes in urban areas
Chapter 17. Approaches to Inclusive Recruitment: Practical and Hopeful
Get PDFSan José State University (SJSU) is located in downtown San José, a city of over one million residents in California’s San Francisco Bay Area. Established in 1857, SJSU is the oldest public university on the west coast of the United States. It is also the founding campus of the California State University (CSU) system that comprises twenty-three campuses, making it the largest four-year public university system in the country. SJSU has nine colleges and sixty-seven departments, which offer bachelor’s, master’s, and a growing number of doctoral degree programs. It enrolls over 36,000 students and employs more than 2,100 faculty members. The Dr. Martin Luther King, Jr. Library, also known as the SJSU King Library, is the only SJSU library that serves the campus. It is a joint library, partnering with the San José Public Library to serve the Bay Area community.
Like most universities, SJSU has a mixed record when it comes to social justice. In the 1950s–1960s, Jim Crow practices prevented the campus from providing campus housing and scholarships to Black athletes even though the campus actively recruited Black students. The university also had a history of minority student movements in the 1970s and 1980s as well as more contemporary racist events that have caused it to rethink its approach to social justice, human rights, and community service. Much has changed in fifty-plus years due to the challenges from students, faculty, staff, and community members and the university to address the value of supporting and retaining its diverse population as a crucial part of its mission to strive for social justice and equality. Consequently, it invested in establishing an Office of Diversity, Equity, and Inclusion and different student success, identity, and cultural centers on campus, as well as the SJSU Black Leadership and Opportunity Center, Chicanx/Latinx Student Success Center, Native American Indigenous Student Success Center; PRIDE Center, and UndocuSpar- tan Student Resource Center. In the library, the Africana, Asian American, Chicano, and Native American Studies Center (AAACNA) is dedicated to preserving and celebrating the diversity of the campus. Although the creation of AAACNA was complicated, it is a center that is now continually supported by students, faculty, and the community.
At SJSU, librarians are unionized faculty members and have ranks parallel to faculty in SJSU’s other academic departments. California is one of eight states that have banned the consideration of race in its employment of state workers (Calif. Const. art. I § 31), and statistics make plain that SJSU’s student body continues to be more diverse than SJSU’s faculty in terms of race and ethnicity (Institutional Research and Strategic Analytics, n.d.). However, SJSU faculty are called on to serve as mediators and educators to students from a range of backgrounds (Wong, 2017), and research shows that student-faculty racial and ethnic matches can have an impact on student learning and graduation rates (Fryar & Hawes, 2011; Llamas, Nguyen, & Tran, 2021; Lowe, 2005; Stout et al., 2018). In addition, SJSU’s 2020 campus climate survey revealed that “racial identity, ethnicity, gender/gender identity, position status, and nepotism/cronyism were the top perceived bases for many of the reported discriminatory employment practices” (Rankin & Associates, 2020, p. 281).
The university realized that it was time to reflect on its institutional value of social justice and be proactive in overcoming the influences of larger systemic oppression. In order to intentionally address bias at the organizational level, SJSU created initiatives that were tailored for specific activities, operations, and populations. One such initiative was to adopt new strategies for the faculty hiring and faculty retention, tenure, and promotion processes and to implement increased faculty mentoring opportunities (Office of the President, 2021). The strategies involve collaboration between various campus units such as University Personnel; Faculty Success; Office of Diversity, Equity, and Inclusion; Library Administration; and library faculty search committees. This chapter will discuss how the University Library implemented—and enhanced— these new strategies
An Exploration of Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis
Get PDFIncorporating prior knowledge into a data-driven modeling problem can drastically improve performance, reliability, and generalization outside of the training sample. The stronger the structural properties, the more effective these improvements become. Manifolds are a powerful nonlinear generalization of Euclidean space for modeling finite dimensions. When additionally assuming that the manifold carries (Lie) group structure, this imposes a drastically stricter global constraint. The range of their applications is very wide and includes the important case of robotic tasks. We apply this idea to Canonical Correlation Analysis (CCA). In traditional CCA one constructs a hierarchical sequence of maximal correlations of up to two paired data sets in Euclidean spaces. We here generalize the CCA concept to respect the structure of Lie groups and demonstrate its efficacy through the substantial improvements it achieves in making structure-consistent predictions about changes in the state of a robotic hand
Sport and Environmental Issues: NCAA Division I Student-Athletes’ Personal Experiences
No full textWhile sport ecology is a growing category in sport management literature, there is a lack of research exploring athletes’ experiences regarding environmental issues, and the impacts environmental issues have on student-athletes. The present study qualitatively explored the personal lived experiences of eight NCAA Division I student-athletes regarding environmental issues with the aim of identifying potential influences on values and beliefs through social norms and understanding the student-athlete perspective. Thematic analysis identified 152 raw data themes and 19 higher order themes, which were organized into four central themes: awareness, care and concern from athletic departments, implications, and advocacy. Generally, student-athletes perceived a lack of education and concern in university athletic departments which influence the behaviors of student-athletes in the sport context through social norms regardless of their personal values and beliefs; however, motivated student-athletes to advocate for climate change in different ways. Guided by values, beliefs, and norms theory, the results of the study suggest that participants are aware of environmental issues in sport based on personal experiences and how student-athletes are willing to become activists for environmental injustice
A Good Day to Sell Out
No full textA collection of satirical short stories centered around various media subcultures and workplaces, “A Good Day to Sell Out” combines comedic scenarios with non-fiction inspired prose and earnest characters to evoke a sense of emotional whiplash. Though each story stands as a self-contained work of fiction, the project features many reoccurring characters throughout, thus when read in the proper order the grand narrative comes full circle in the final story. The collection explores the challenge of making ethical decisions in different media-centered workplaces and raises questions about the overconsumption of pop-culture-based media. “A Good Day to Sell Out” derives its inspiration from my lived experiences in student filmmaking and working at a media distribution company for three years. While the different subcultures covered in each story vary, the collection ultimately holds a mirror up to an overstimulated modern-day America and asks: “Is distraction from constantly consuming media stimuli really all there is to life?
Assessing the Role of Steam Explosivity in Shallow and Deep Marine Environments
Get PDFVolcaniclastic deposits formed in shallow and deep marine environments show strikingly different characteristics resulting from the ability of steam to assist in lava fragmentation. Deep marine deposits come from recent lava flows at Axial Seamount, formed around 1,500 m water depth, while shallow marine samples come from Miocene Columbia River Basalt Group (CRBG) lava flows that were emplaced in a shallow marine to subaerial environment and are now exposed on the Oregon coast. Volcaniclastic material from these two environments was compared using granulometry, componentry, and mapping. Lithofacies from the CRBG contained abundant ash and lapilli sized clasts with a high proportion of crystalline clasts, and limited exposures of coherent lava flows. Conversely, volcaniclastic material at Axial Seamount was largely restricted to slopes, with only small collections of fragmented vitriclasts found on and around lava flows. Axial material was also dominantly glassy and coarser than that of the CRBG. This disparity supports an interpretation that steam explosivity played a minor role in forming the volcaniclastic material at Axial Seamount, supported by a lack of ash grain surface textures and grain shapes. Instead, autoclastic fragmentation was interpreted as the dominant fragmentation mechanism there. The characteristics of CRBG volcaniclastic material indicate that the lesser hydrostatic pressure of a shallow marine environment was more conducive to steam explosivity, which occurred in addition to autoclastic fragmentation
Language Dominance and Connected Speech in Multilingual Spanish-English Adults
Get PDFWith a growing prevalence of multilingual, Spanish-English speakers in the United States, speech-language pathologists (SLPs) face limited research to learn about how to evaluate the language skills of this population. Exploring evaluation tools, more specifically, connected speech samples, and their effectiveness in assessing the dynamic nature of multilingualism with adults who speak Spanish and English can assist SLPs in making informed recommendations. This study aimed to investigate relations between language dominance and connected speech with cognitive-healthy multilingual Spanish-English adults. Language dominance was further examined by two perspectives that an SLP may utilize in their evaluation: evaluated and perceived. Correlations between language background measures used to represent these perspectives and connected speech measures of Spanish and English speech samples were examined. Results indicate more significant relations between a patient’s perceived language dominance and the connected speech measures of their more dominant language. The findings underscore the significance of patient input and need for culturally and linguistically sensitive approaches in speech-language pathology research and clinical practice