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Bridging The Cultural Divide: A Single Case Study Exploring Connections Between Multi-Cultural Education, Identity, Self-Esteem And Leadership, Amy Britton

Journal of Multicultural Affairs

This qualitative single case study explores connections between multicultural education, identity development, self-esteem, and leadership. The study focuses on the lived experiences of a lifelong learner, educator, and leader in higher education with the pseudonym, Rachel. The interview with Rachel traced how she experiences diversity within her academic experiences as a learner and her professional experiences as an educator and leader.

Student, Teacher, Mother, Wife: A Constant Learner’S Education And Call To Action, Taylor D. Bunn

Journal of Multicultural Affairs

The purpose of this reflective single case study was to explore one woman’s perspectives on learning from childhood to adulthood. Though friendly, gregarious, and well-liked, she never quite fit in with others. Well into adulthood, she realized she was gay, prompting her to reflect on her formal and informal education, professional experiences, and personal relationships. Qualitative data were collected via semi-structured interviews and analyzed using Freire’s (1970) conscientization as an underlying framework. The subject openly discussed her struggles, successes, and worldview, candidly reflecting on where the system failed her and how she hopes educators will seize opportunities to learn alongside …

Not 'Fit In More,' I Would Say 'Stand Out Less': Dialogical Learning With A Filipino-American High School Student In A Predominantly White High School: A Case Study, Cristofer G. Slotoroff Ed.D.

Journal of Multicultural Affairs

This piece seeks to amplify the voice of Jamie: a Filipino-American student in a predominantly White high school. Through a series of dialogues, the researcher seeks to take an intentional, purposeful step toward uncovering how Jamie's understanding of her school's cultural makeup influences her education, her self-conception, and her identity.

Through a series of qualitative interviews, the researcher seeks to value the singularity of Jamie's experience while, alternatively, taking note of how a better knowledge of her circumstances lends insight into the nuanced educational experiences of minority students in predominantly White schools. Using Shields's (2004) dialogical leadership for social justice …

Bridging The Cultural Divide: Learning With Kayla, Ashley Gibson

Journal of Multicultural Affairs

Originally written as a doctoral paper in the fall of 2018 when the researcher was a doctoral student in Baylor University’s School of Education program, this article is an account of a single-subject case study as a mini-research project for a course titled EDC 5392, or Issues in Diversity. As a teacher, the doctoral student and emerging researcher chose one of her students as the subject for this study. This article aims to share the learning of an emerging adult scholar throughout the research process and to contribute an example of a teacher building critical consciousness around multicultural and anti-bias/antiracist …

Session 7: Would Ai Stocks Estimate Be As Surprised To Usda Stock Reports As Private Market Analysts?, Asif Mahmud Chowdhury, Matthew Elliott

SDSU Data Science Symposium

Would AI Stocks Estimate Be as Surprised to USDA Stock Reports as Private Market Analysts?

Keywords: Machine Learning, Random Forest, Agricultural Commodities Market, Informational Impact, Efficient Market Hypothesis.

The USDA survey-based Quarterly Grain Stocks reports are the primary source of information regarding the relative supply of U.S. corn, soybeans, and wheat for the last fifty years. Previous research has examined the accuracy of the USDA stock reports and their relevancy to the market, given alternative sources of estimates (e.g., Isengildina-Massa et al., 2021). For example, private industry analysts also estimate expected quarterly grain stock reports before USDA releases their reports. …

Session 7: Robustness Analysis Of Convolutional Layers In Image Classification Neural Networks, Gabriel Picioroaga

SDSU Data Science Symposium

Abstract: Reliable neural networks are designed so that their outputs satisfy a Lipschitz condition with respect to small deformations of the inputs. The so-called Lipschitz inequality is controlled by a constant which naturally implies that too large a change in the output requires some change in the input. Large Lipschitz constants are hypothesized as the culprit in classification errors, either intentional (e.g. adversarial attacks) or not. At each layer in a network one can find a (local) Lipschitz constant depending on the activation function and the transformation by which features are extracted (convolution, matrix multiplication, compression). The total constant is …

Session 8: Statistical Discrimination Methods For Forensic Source Interpretation Of Aluminum Powders In Explosives, Danica M. Ommen, Christopher P. Saunders, Joann Buscaglia

SDSU Data Science Symposium

Aluminum (Al) powder is often used as a fuel in explosive devices; therefore, individuals attempting to make illegal improvised explosive devices often obtain it from legitimate commercial products or make it themselves using readily available Al starting materials. The characterization and differentiation between sources of Al powder for additional investigative and intelligence value has become increasingly important. Previous research modeled the distributions of micromorphometric features of Al powder particles within a subsample to support Al source discrimination. Since then, additional powder samples from a variety of different source types have been obtained and analyzed, providing a more comprehensive dataset for …

Session 8: Ensemble Of Score Likelihood Ratios For The Common Source Problem, Federico Veneri, Danica M. Ommen

SDSU Data Science Symposium

Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratios and Bayes Factor to quantify the value of evidence when contrasting two opposing propositions.

Under the common source problem, the opposing proposition relates to the inferential problem of assessing whether two items come from the same source. Machine learning techniques can be used to construct a (dis)similarity score for complex data when developing a traditional model is infeasible, and density estimation is used to estimate the likelihood of the scores under both propositions.

In practice, the metric and its distribution are developed using pairwise comparisons …

Session 4: An Overview Of Deep Learning And Universality, Michael Puthawala

SDSU Data Science Symposium

In recent years machine learning, and in particular deep learning has emerged as a powerful and robust tool for solving problems in fields ranging from robotics, to medicine, materials science, cosmology and beyond. As work on applications has advanced, so too has theory advanced to guide, explain, interpret deep learning. In this talk I will provide an overview on universality of neural networks. I will explain what it means for a neural network to be a universal approximator, qualitatively and quantitatively, and give examples of these results applied to existing networks. Finally, I will conclude by discussing some recent work …

Session 2: The Effect Of Boom Leveling On Spray Dispersion, Travis A. Burgers, Miguel Bustamante, Juan F. Vivanco

SDSU Data Science Symposium

Self-propelled sprayers are commonly used in agriculture to disperse agrichemicals. These sprayers commonly have two boom wings with dozens of nozzles that disperse the chemicals. Automatic boom height systems reduce the variability of agricultural sprayer boom height, which is important to reduce uneven spray dispersion if the boom is not at the target height.

A computational model was created to simulate the spray dispersion under the following conditions: a) one stationary nozzle based on the measured spray pattern from one nozzle, b) one stationary model due to an angled boom, c) superposition of multiple stationary nozzles due an angled boom, …

Mathematics Tracking: Policy Brief, Melissa P. Donham

Journal of Multicultural Affairs

Tracking is a long-standing practice in schools. Students are often placed in tracks beginning in upper elementary or middle school. The tracks in which students are placed in earlier grades set them up for the mathematics courses they are able to take in high school. The number of mathematics tracks for students can differ from school to school, but the policy of having mathematics tracks is common throughout schools in the United States. This policy brief will discuss the arguments for and against mathematics tracking policies, implications for educators and policymakers, and future directions.

Policy Brief: Exploring Response To Intervention’S Effectiveness With Students Of Color, Camille S. Talbert

Journal of Multicultural Affairs

This policy analysis explores the effectiveness of Response to Intervention (RTI) at diminishing racial disproportionalities in special education. It includes a brief review of the legislative context of RTI. It also examines one contributing factor to the effectiveness of RTI—educator ideologies. The analysis concludes with implications and future policy directions.

The Intersection Of Academic Freedom And Trigger Warnings, Ashleigh Maldonado

Journal of Multicultural Affairs

The purpose of this policy brief is to explore the intersection of academic freedom and trigger warnings. The author argues that the vague language within academic freedom policies and the blurred lines between judicial jurisdiction over first amendment rights and institutional jurisdiction over academic freedom policies sets the stage for future limitations on teachers’ rights within the classroom. Te author also argues that while much attention is given to the academic freedoms of instructors, more attention should be afforded to the academic freedoms of students when considering their requests for trigger warnings.

Reporting Of Doctoral Student Attrition: A Policy Brief, Cece Lively

Journal of Multicultural Affairs

Roughly half of all doctoral students in the United States will never complete their degree requirements (Council of Graduate Schools, 2020). That staggering number is larger for ethnic minority and female students, particularly for Black students who have the lowest completion rate (47 percent) and who make up only 13 percent of doctoral degrees (Lovitts, 2001). Additionally, retention rates for online students are an additional 10 to 20 percent lower than students who attend in-person (Rovai & Wighting, 2005). Thus, ethnic minority students in online doctoral programs are at a higher risk of not finishing their degrees compared to other …

Out Of Left Field? Requiring Expertise To Teach Secondary Science: A Policy Brief, Dana Morris

Journal of Multicultural Affairs

Teachers are considered the most influential factor in student learning outcomes (Burroughs et al., 2019; Luft et al., 2015, 2020). Their influence in the modern science classroom affects academic opportunities and the overall scientific literacy of our future society. Nonetheless, high school science teacher shortages exist across the United States, and low standards are the norm for new teachers entering the field. Compounding the problem is the presumption by most states that obtaining the expertise to teach one discipline in science qualifies a teacher to teach any area of science (National Council on Teacher Quality, 2010). Although No Child Left …

The Emerging Scholars Issue: Insights On Teaching And Leading Through Reshaping Policy And Practice, Lakia M. Scott, Taylor D. Bunn

Journal of Multicultural Affairs

The Emerging Scholars program began at the 2019 Texas-NAME conference with five graduate students, four of which were enrolled in a doctoral program. Students participated in preconference workshops on establishing a research agenda, understanding academia and higher education institutions, and creating a network as an education researcher. Since its inception, the program has continued introducing students to collaborations and publication opportunities through Texas-NAME. This special issue provides doctoral students (some of whom have since graduated) with an opportunity to be single-authors in their scholar. Organized in three distinct sections, readers will be exposed to research and policy briefs and critical …

Keynote: Zip Codes And Address Changes - Using Innovative Data Analytics To Predict And Impact Health Outcomes, Emily Griese

SDSU Data Science Symposium

Healthcare continues to face headwinds including increasingly sicker populations and rising costs to deliver care. Because of this there is a need innovate in the approach to caring for patients, recognizing traditional healthcare and a one size fits all approach won’t work. This talk will focus on innovative, data-driven approaches to uncovering the unique needs of patients. Specifically, leveraging advanced analytics and new sources of data reflective of non-medical factors influencing health and health outcomes.

2023 Sdsu Data Science Symposium Presentation Abstracts, Department Of Mathematics & Statistics

SDSU Data Science Symposium

This document contains abstracts for presentations and posters 2023 SDSU Data Science Symposium.

2023 Sdsu Data Science Symposium Speaker Information, Department Of Mathematics & Statistics

SDSU Data Science Symposium

This document contains Speaker bios and information for the 2022 SDSU Data Science Symposium.

Contextually Determined Time Interval For Nfc Payment Security, D Shin

Defensive Publications Series

Near-field communication (NFC) capabilities of mobile devices to make contactless payments at the point of purchase by taking an explicit triggering action, such as double pressing the power button. Once a user triggers the NFC payment mode on the user device, the device enters a listening mode for a short time interval to establish a connection with a payment host. If the user accidentally triggers the NFC payment mode an unintended payment may result. This disclosure describes techniques to automatically make contextually appropriate adjustments to the NFC payment wait time interval with user permission. The device context is determined based …

Method To Search And Locate Board Components And Regions Of Interest Using Component Name, Hp Inc

Defensive Publications Series

Printed Circuit Assembly (PCA) boards are heavily populated with various electronic components like resistors, capacitors, integrated circuits etc. A reference designator unambiguously identifies a component within an electrical schematic or on a printed circuit board. The reference designator usually consists of one or two letters followed by a number, e.g., R13, C10 (where R is a reference prefix for the resistors of an assembly and C for capacitors). These markings/identifiers are visible text etched onto the PCA board and the text identifying the component is close in proximity to the component itself. The invention described here helps us to search/check …

System To Automatically Detect Missing And Extra Components On A Printed Circuit Assembly, Hp Inc

Defensive Publications Series

There is an emerging business model of Printed Circuit Assembly (PCA) board design and fabrication that favors extensive outsourcing and integration in the PCA board life cycle to lower manufacturing costs. With the increasing complexity of modern PCA boards and growing reliance on third-party entities make PCA board hardware attacks an increasing concern. Malicious actors may remove or add components, thus creating attack vectors against fabricated PCA boards that can either cause malfunction, leak secret information, cause a denial of service, install remote access trojans, and so on. The invention described here helps us to automatically detect missing and extra …

Method To Calibrate The Horizontal (Cross-Web) Position Of A Fiducial Mark Sensor, Hp Inc

Defensive Publications Series

This disclosure describes a new method to calibrate the cross‐web position of a fiducial mark sensor relative to the content that is printed upstream of the sensor. The method involves printing a pattern of horizontal and diagonal lines, using the sensor to detect their positions, and calculating a cross‐web position correction value.

Tiltable Antenna Design For Enhancing Wireless Radio Transmit Power Limited By Sar, Hp Inc

Defensive Publications Series

Some countries like the US and Canada have specific regulatory and certification with strict SAR certification criteria to ensure that end user can be safe without health risks while using wireless electrical communication devices due to radio frequency (RF) electromagnetic field by specific wireless radio modules transmit power via it embedded antennas. In another word, the TX power of the wireless radio module inside the wireless communication device may need to be reduced more to meet SAR certification criteria when the gap between the human body and system embedded antenna becomes smaller, which normally results in wireless communication performance and …

Printers' Cutter-Carriage Engagement/Disengagement Status Detection System, Hp Inc

Defensive Publications Series

The following document describes a system to detect printer’s cutter-carriage engagement / disengagement using Hall effect sensor output voltage to determine at any time the engagement/disengagement status. This system’s intention is to prevent failures in customer side due to firmware not knowing if the cutter engagement / disengagement status is the correct one. In some cases, for example, the cutter is not disengaged when it should, and when the firmware triggers a carriage movement towards the service station, the cutter gets broken when it hits the service station. On some other cases, the cutter is not engaged when it should …

Visualize And Correlate Changes To Network Device To Anomalies In Network, Software Patents, Krishna Mahadevan Ramakrishnan, Shiva Prakash S M, Prashant Nandagadi, Venkatesh Ramteke, Chandramouli Nanjundaswamy

Defensive Publications Series

NOM products enable users to manage their network by enforcing controlled changes to configuration of network devices apart from monitoring performance, fault and compliance of all devices in their network. While monitoring a network, it is always been a challenge to deduce and represent correlation, among anomalies across thousands of devices, in a format that users can consume, validate and act on. This paper proposes a method to deduce and visualize, possibly related anomalies on connected devices in the network based on user’s selection of an anomaly on a device of interest. While this paper takes network domain as an …

Gender, Sexual Orientation, Ethnicity And Socioeconomic Factors Influence How Wildland Firefighters Communicate Their Work Experiences, Miranda Ragland, Jennifer Harrell, Molly Ripper, Seth Pearson, Rachel Granberg, Robin M. Verble

Biological Sciences Faculty Research & Creative Works

As Climates Change, Natural Resource Professionals Are Often Working on the Frontlines of Intensifying Environmental Disasters, Acting in Both Scientific and Emergency Response Roles. One Subset of This Group, Wildland Firefighters Often Engage in Multifaceted Careers that Incorporate Elements of Resource Planning, Conservation Management, Community Disaster Relief, and Operational Management. Despite These STEM Roles and Nearly Half (48%) of Them Having Earned at Least a bachelor's degree, usually in a STEM Field, Wildland Firefighters Are Almost Exclusively Lumped with Emergency Responders in the Scientific Literature. We Surveyed 708 Wildland Firefighters with 9 Open Response Questions as Part of a Larger …

Programs Committee Agenda 2-7-23, Angela Brock

Programs Committee (PC)

No abstract provided.

Icc Agenda 2-7-23, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

By Any Measure, Liberal Democracy Is Superior. Here’S Why, Bruce Ledewitz

Newspaper Columns

Collected biweekly contributions to the Pennsylvania Capital-Star, a nonpartisan, nonprofit news site.