7903 research outputs found
Sort by
America\u27s Psychological Now: Enlivening the Social and Collective Unconscious in a Time of Urgency
No full textThis book explores the causes behind Trump\u27s victory in the 2016 US presidential election and asks how a psychoanalytic understanding of the social unconscious can help us plot a new direction for the future in US politics and beyond.
It first describes the social/psychological threads that are the now of American culture. Seeds of hope are discovered through an in-depth examination of the American idea of excess as represented by Trump, its archetypal figure. Essential psychoanalytic ideas such as, the fundamental human condition of living with both individual and social unconscious, the psychic feminine principal, the notion of psychic valence and more are illustrated as psychic integrations necessary for America to move towards a redemptive positive social change. This book combines feminist exploration with playful illustrative imagery and mythic story—aiming to awaken minds across generations.
America’s Psychological Now is key reading for psychoanalysis, psychologists, political theorists, and anyone wishing to understand better how the social and political systems could be changed for the future.https://scholarcommons.scu.edu/faculty_books/1627/thumbnail.jp
Autodesk AutoCAD Architecture 2025 Fundamentals
No full textAutodesk AutoCAD Architecture 2025 Fundamentals is an introductory guide designed specifically for those who are new to AutoCAD Architecture 2025. It provides a detailed exploration of the software\u27s key features such as the Styles Browser, Styles Manager, Layer Manager, Design Center, and key architectural elements such as Structural Members, Doors, Windows, Walls and Roofs.
The book employs an instructional approach, progressing with each chapter to gradually build your knowledge and proficiency. The practical, step-by-step lessons walk you through the complete process of creating an architectural project, from the initial site and framing plans to the completion of a standard three-bedroom, two-bathroom, two-story residence.
Two building projects are detailed within this guide - an Imperial unit-based two-story Tahoe log cabin, and a metric unit-based one-story medical clinic. The aim of these projects is to provide you with a comprehensive understanding of the software, enabling you to create a standard model and customize the interface to suit your specific needs.
In addition to core features and functionalities, the book provides a deep dive into the toolbars, dialog boxes, and commands of AutoCAD Architecture 2025.
Designed with an educational perspective, the book incorporates quizzes and practice exams to reinforce learning, and also includes suggestions for additional assignments. This guide serves as an essential resource for anyone seeking to master the fundamentals of AutoCAD Architecture 2025.https://scholarcommons.scu.edu/faculty_books/1648/thumbnail.jp
The Communal Roots of Mexico’s Maquila Industry: Urbanization, Land, and Inequality in Ciudad Juárez, 1960–2000
Get PDFThis article analyzes the urbanization and privatization of communal lands (ejidos) in Ciudad Juárez, Mexico, via a computer vision model that utilizes Google Street View (GSV) and Geographic Information System (GIS) imagery. Our innovative methodology reveals how processes of ejidal urbanization in Mexico’s northern borderlands contributed to the rise of multinational factories (maquiladoras) and geographies of inequality and violence. Past scholarship on the (d)evolution of ejidal land tenure details how periurban ejidal lands throughout Mexico were often sites of impoverishment and a lack of investment, featuring informal settlement and rapid or chaotic urbanization following the country’s 1960 urban turn. Through its use of novel sources and methods, this article demonstrates that the urbanization process in Juárez’s principal periurban ejidos diverged from this classic model in specific ways. By combining conventional historical sources with visual data like GSV and GIS imagery, Juárez’s former and current ejidal landscapes reveal high levels of investment, formal planning, and infrastructure. We argue that Juárez’s distinctive physical, political, and economic geographies shaped the overwhelmingly industrial, private, and invested character of the city’s (former and current) periurban ejidal lands. This process occurred via a globalized modernization regime that forged disparate landscapes of investment and inequality beginning in the 1950s
Santa Clara Magazine, Volume 65 Number 1, Spring 2024
Get PDF14 - A CAMPUS ON THE RISE Six new buildings on campus aren’t the only changes brought by a successful $1 billion fundraising campaign. Lauren Loftus & Leslie Griffy
20 - HUMAN AT HEART How Santa Clara University is distinguishing itself as a leader in human-focused health care innovation. Lauren Loftus
26 - SHEPHERDING INNOVATION How wonder, and God, can make us better scientists. Brother Guy Consolmagno, S.J.
30 - THE CO-OP Santa Clara University has long been a bastion of interdisciplinary learning. A new fund is taking cross-collaboration to new heights. SCM Staff
34 - MAKE AI THE BEST OF US What we get from AI depends on the humanity we put into it. Leslie Griffy
38 - FLOURISHING HAPPENS HERE Meet a handful of the Santa Clara University students who have scholarships —and hear their reasons for thanks. Nic Couryhttps://scholarcommons.scu.edu/sc_mag/1144/thumbnail.jp
Preliminary Efficacy of a Digital Intervention for Adolescent Depression: Randomized Controlled Trial
Get PDFBackground: Adolescent depression is a significant public health concern; however, access to effective mental health care is limited. Digital therapeutics (DTx) can improve access to evidence-based interventions; however, their efficacy in adolescents is sparsely documented.
Objective: This study aims to examine the efficacy of a mobile app DTx versus an active control as an adjunct treatment for adolescent depression symptoms.
Methods: An internet-based open-label randomized control trial was conducted nationwide with a partial crossover design, and 168 adolescents aged 13 to 21 years with symptoms of depression were recruited between November 2020 and September 2021. Participants were randomized (1:1) to the cognitive behavioral therapy–based treatment app (Spark) or to a psychoeducational control app (control), which they would use for a duration of 5 weeks. The primary outcome was a between-group (Spark vs control) difference in the change in depression symptoms from baseline to postintervention, as measured by the Patient Health Questionnaire-8 (PHQ-8) using a linear mixed-effects analysis. The PHQ-8 ranges from 0 to 24, with scores of 5 to 9 indicating mild depression symptoms, scores of 10 to 14 indicating moderate symptoms, scores of 15 to 19 indicating moderately severe symptoms, and scores of 20 to 24 indicating severe symptoms. A minimal clinically important difference (5-point reduction between baseline and postintervention) in the Spark arm and group differences in remission and treatment response rates based on the PHQ-8 at postintervention were also investigated.
Results: A total of 160 participants were randomized, 80 in the Spark arm (mean age 16.89, SD 2.5 y) and 80 in the control arm (mean age 16.79, SD 2.59 y). Data from 121 participants (Spark: n=63; control: n=58) with moderate to severe (PHQ-8≥10) symptoms at baseline were included in the primary analyses following a modified intention-to-treat principle. A linear mixed-effect analysis revealed a nonsignificant difference between the study arms in depression symptom change over the intervention period. The Spark arm met a minimal clinically important difference threshold (mean −5.08, 95% CI −6.72 to −3.42). The remission rate in the Spark arm was significantly higher than that in the control arm (11/63, 17% vs 2/58, 3%; χ21=6.2; P=.01; false discovery rate–adjusted P=.03). The treatment response rates were not significantly different between the study arms (P=.07; false discovery rate–adjusted P=.16). Post hoc analyses including participants with mild to severe (PHQ-8 score ≥5) symptoms at baseline revealed promising evidence that Spark is effective in those with mild to severe symptoms.
Conclusions: There is initial evidence that a self-guided, cognitive behavioral therapy–based DTx intervention may effectively treat mild to severe depression symptoms in adolescents. DTx may improve access to mental health care for adolescents or serve as an important adjunct to the standard of care
Standardized Sustainable Rapid Housing Design
Get PDFDignityMoves is an organization committed to providing interim supportive housing to the unhoused population. DignityMoves partners with philanthropic organizations, owners, and cities to borrow unused and empty lands for anywhere from five (5) to twenty (20) years and organize the development of sites using prefabricated modular tiny homes. These homes meet housing department codes and standards while also allowing DignityMoves to capitalize on city emergency housing codes.
The goal of this project is to address the structural, geotechnical, greywater, building envelope, and construction management scopes of building interim supportive housing sites to create standardized solutions that:
(a) Lower the cost per unit (per bed/individual housed) needed to house one person to less than $50,000 (b) Expedite the building timeline to a six (6) to nine (9) month construction duration (c) And prioritize low-impact designs.
This project was developed off of a foundation of research from a diverse range of sources including scientific studies, census data, and insight from industry professionals, government officials, and people who experience homelessness. The combined insight from all of these sources informed our design process and final deliverable, a tool to aid in the design and development of interim housing sites that prioritizes standardization, cost-effectiveness, rapid implementation, and sustainability. Ultimately, this project’s findings will serve as a baseline and tool for DignityMoves to meet the previously mentioned goals, and to continue improving their interim supportive housing initiatives
Trend Tour
Get PDFChoosing outfits as a college student can prove challenging – especially for new college students and students new to the area where their college is. Trend Tour, our web-based application, displays what the fashion trends are in the user\u27s college and near their area. This helps the user with ideas on how to dress. Furthermore, the user can change the color, silhouette, and/or accessories of outfits they want to see at that college and near their area. This web application aims to help college students feel more confident and comfortable
UnbiasText: Breaking Gender Bias in AI
No full textA major issue with AI chatbots such as ChatGPT is that their responses can contain biases, whether intentional or not. Biases can vary from politically-oriented biases, racially-based biases, gender-oriented biases to a plethora of other types of biases. In this paper we present a step taken towards mitigating bias in AI programs like ChatGPT: UnbiasText. Given a text input, our UnbiasText application detects and quantifies the gender or political bias within the text. Through this system, if a text input were to be inputted, the predictions for both biases as well as the most influential words based on those predictions will be provided to the user. As for preprocessing the data, stemming and removal of gendered pronouns and names (for gender bias) is done while vectorizing the text with a TF-IDF vectorizer. This is then fed to the random forest model for gender bias or the calibrated classifier model for political bias which is then evaluated through the testing data (training/testing data is split 80/20). The metrics from the evaluation of our model were quite promising with the gender bias model’s accuracy being 94.7% with an F1 score of 0.95 while the political bias model’s accuracy being 77.9% with an F1 score of 0.78. Through this implementation, training of LLMs like ChatGPT can be improved to promote fairness and representation in their outputs