9 research outputs found
Machine Learning for Child Oral Health: An Scoping Review
No full textMachine Learning (ML) has great potential to assist dental professionals with diagnosing and predicting outcomes of oral health. Tooth decay in children is the most common chronic childhood disease and it can be prevented by early detection. We aimed to provide a map of the current evidence on machine learning (ML) in child oral health and provide insight for future research
Blonde Builds Suburbia: Ouida Baggett Regan and the Alternate Construction of Femininity
No full textOuida Baggett Regan (1927-2017) was a developer, from Pensacola, FL in the mid-twentieth century.
• A white woman's place was as a homemaker and mother; yet she built thousands of homes and the tallest building in the FL panhandle.
• How did she navigate gender norms, as a divorcee mother and self-made millionaire?
• Regan strategically deployed gendered tropes, at times emphasizing her domesticity and femininity, and others the bootstrap, masculine approach to a traditionally male field
Half a Creature from the Sea
No full textIn a collection of short stories, David Almond combines fact with fiction to depict his own childhood. Preceding each short story is a forward in which the author explains the inspiration behind the following story, the characters, location, and drama. The stories take place in a collection of seaside villages in England and revolve around not judging those around you, sticking up for what is right, and believing in childhood ambition
Chasing Freedom
No full textChasing Freedom recounts the life stories of Harriet Tubman and Susan B. Anthony through a fictional conversation between the two women. Susan B. Anthony is hosting a women\u27s rights meeting, with Harriet Tubman as the keynote speaker. Harriet comes early to catch up with her old friend, and the two recount stories of years gone by before the meeting starts. The author creates an engaging atmosphere for late elementary school-aged children to imagine the lives, struggles, and triumphs of these champions of equal rights
Maintenance of Carbapenemase-Producing Enterobacteriaceae in a Farrow-to-Finish Swine Production System
No full textMachine Learning for Child Oral Health: A Scoping Review
No full textBackground: Machine learning (ML) has potential to assist dental professionals with diagnosing and predicting outcomes of oral health. Tooth decay in children is the most common chronic childhood disease and it can be prevented by early detection. We aim to provide a map of the current evidence on ML in child oral health and provide insight for future research. Methods: A scoping review used databases like Medline, Web of Science, EBSCO Dentistry & Oral Science Source, Cochrane Library, and Scopus. Included studies assessed ML models for diagnoses, prediction, or management of oral health in children (0–9 years). Data extraction included publication year, location, age, sample size, disease, study type, and ML algorithms. Results: a total of 29 studies were included, mainly in pediatric dentistry and dental public health. Study designs comprised cross-sectional (34.5%), cohort (31.0%), case-control (20.7%), clinical trials (10.3%), and descriptive surveys (3.5%). The majority of studies were from high-income (69.0%) and upper middle-income countries (27.6%), with a small representation from low middle-income countries (3.4%). ML focused on predicting and diagnosing oral health issues such as caries progression and risk, with neural networks predominantly tested alongside emerging techniques like random forest, regression, and gradient boosting. Conclusions: ML algorithms hold promise in improving dental diagnosis and prediction accuracy, benefiting dental professionals, including pediatric and general dentists, in enhancing proficiency and reducing clinical errors
Carbapenemase-producing Enterobacteriaceae recovered from the environment of a swine farrow-to-finish operation in the United States
No full textSocial Capital and Civic Engagement at the Collegiate Level
No full textabstract: Levels of civic engagement among young adults has been an increasing concern for social scientists. Young adults are showing lower amounts of civic engagement than in the past, and this has translated into a concern for the democratic process in the United States. This thesis looks to analyze the national downward trend of civic engagement at the collegiate level, specifically at Arizona State University. To make this 71,000-student community more manageable, this analysis will specifically look at one community within Arizona State: Fraternity and Sorority Life. The different groups within Fraternity and Sorority Life at Arizona State University provide an all-encompassing view of civic engagement through participation in various activities and events. An annual report published by the office of Fraternity and Sorority Life will show the effect of the number of educational programs, number of charitable donations, and amount of outside campus involvement has on civic engagement. Looking at pieces of work like Putnam’s Bowling Alone and Hero’s Racial Diversity and Social Capital, this thesis analyzes the associations of these organizations and how that translates into civic engagement and social capital. In addition, we subsequently question Putnam’s analysis, and attempt to apply these critiques to Arizona State University’s collegiate community. This thesis looks at the impact of historically cultural vs historically social groups. The results of this study show that the historically cultural groups are demonstrating higher levels of civic engagement based on their horizontal associations. This information can be used to better understand young adult’s impact on their surrounding community, as well as how the makeup and functioning of groups can influence levels of social capital and civic engagement
Human Trafficking in Northeastern Ontario: Collaborative Responses
No full textHuman trafficking for the purpose of sexual exploitation is undoubtedly occurring in Northeastern Ontario. However, there is a lack of information, resources, coordination, and collaboration on the issue in comparison to Southern Ontario. Furthermore, urban-based programming from “down south” does not necessarily fit the unique circumstances of Northeastern Ontario: specifically, the isolation and underservicing of rural and remote communities, the presence of francophone communities, and diverse Indigenous communities. The Northeastern Ontario Research Alliance on Human Trafficking is a community-university research partnership that takes a critical antihuman-trafficking approach. We combine Indigenous and feminist methodologies with participatory action research. In this paper, we first present findings from our eight participatory action research workshops with persons with lived experience and service providers in the region, where participants identified the needs of trafficked women and gaps and barriers to service provision. Second, in response to participants’ calls for collaboration, we have developed a Service Mapping Toolkit that is grounded in Indigenous cultural practices and teachings, where applicable, and in the agency and self-determination of persons experiencing violence, exploitation, or abuse in the sex trade. We conclude by recommending seven principles for building collaborative networks aimed at addressing violence in the sex trade. The Service Mapping Toolkit and collaborative principles may assist other rural or northern communities across the county.
Corresponding author: Rosemary Nagy at [email protected]
