23 research outputs found
Slogging and Stumbling Toward Social Justice in a Private Elementary School: The Complicated Case of St. Malachy
No full textThis case study examines St. Malachy, an urban Catholic elementary school primarily serving children traditionally marginalized by race, class, linguistic heritage, and disability. As a private school, St. Malachy serves the public good by recruiting and retaining such traditionally marginalized students. As empirical studies involving Catholic schools frequently juxtapose them with public schools, the author presents this examination from a different tack. Neither vilifying nor glorifying Catholic schooling, this study critically examines the pursuit of social justice in this school context. Data gathered through a 1-year study show that formal and informal leaders in St. Malachy adapted their governance, aggressively sought community resources, and focused their professional development to build the capacity to serve their increasingly pluralistic student population. The analysis confirms the deepening realization that striving toward social justice is a messy, contradictory, and complicated pursuit, and that schools in both public and private sectors are allies in this pursuit
Visual Prediction of Mouse Mass using Machine Learning
No full textMouse model experiments often rely on body weight as a key indicator of health and as a measurable experimental effect. This makes measurement accuracy important, but the frequent handling required to weigh mice on a scale can induce physiological stress responses that potentially interfere with the intended experiment. Efforts have been made to engineer physical solutions, but these approaches are typically neither scalable nor applicable to a wide range of experimental setups. To avoid these problems, we propose a non-invasive, generalizable approach using computer vision to predict mouse mass from video data. We apply segmentation mask and ellipse-fit deep neural networks to extract information about the area and geometry of approximately 2400 mice in open field arenas across both sexes and 62 different strains. We combine this visual data with sex, strain, age, and other information to build several models with different variables for different use cases, including a visual-only model, a non-genetic model, and a full model. Over a 1-2 hours of sampling per mouse, the visual-only model achieves a mean average error of 1.81 grams. In the same conditions, our full model predicts individual mouse weight with a mean absolute error of 1.28 grams and mean relative error of 5.4% ± 5.7% between our predicted and true mass of the mouse
BIM Collaboration in Student Architectural Technologist Learning
No full textThis paper is the result of a qualitative case study which investigated the influence of building information modelling (BIM) collaboration on the learning of student architectural technologists based around a studio group project. The purpose of the paper is to disseminate knowledge gained into a new learning environment facilitated by the collaborative properties of a BIM application. A qualitative case study approach has been used to undertake the examination of the learners’ experiences during the project. This approach allowed the author to map the complex interaction between the participants during the stages of the collaborative design project. The paper provides evidence of a new learning environment created in the studio setting. This learning is facilitated by the collaboration tools and work-set methodology of the BIM application. This case study will support higher education institutions proposing to introduce collaborative BIM applications into a built environment curriculum and also may act as a catalyst to encourage educators to adopt a similar approach to teaching in a range of other professions. This research supports a need in higher education to provide for transition from theory to workplace practice and identifies a potential for higher level learning facilitated by collaborative BIM technologies and methodologies
Could Autodesk Revit Be Automated for Code Compliance Checking and Demonstration with A Focus on Fire Safety Regulations?
No full textOften a subject to ambiguity and interpretation, building codes and compliance with them require years of expertise to understand and to integrate into good design. Automation of code compliance through Building Information Modelling (BIM) removes the human aspect from these processes and ensures building codes are correctly adhered to. In this paper, the author reviews current code compliance systems implemented internationally and, with a focus on fire codes, compares them to the current fire certificate application in The Republic of Ireland. By conducting interviews with an Executive Fire Prevention Officer of Dublin Fire Brigade and a Fire Consultant practicing in Ireland, the author determines the process of the two professionals and attempts to automate the demonstration of compliance for 4 items from these processes. The author attempts to contain these solutions within a Revit Template File. By doing so, the solutions can be applied to any number of BIM models, demonstrating compliance for each design and, in turn, making a leaner compliance checking process for designers. By checking 4 items from the processes the author hopes to show that in theory, Revit can be automated for code compliance checking and demonstration
Britain's commercial interest explained and improved [electronic resource] : in a series of dissertations on several important branches of her trade and police: Containing A Candid Enquiry into the secret Causes of the present Misfortunes of the Nation. With Proposals for their Remedy. Also The great Advantages which would accrue to this Kingdom from an Union with Ireland. By Malachy Postlethwayt, Esq; Author of the Universal Dictionary of Trade and Commerce, &c.
No full textSabin,Electronic reproduction.English Short Title Catalog,Reproduction of original from British Library
BIM: Building Information Management (not Modelling)
No full textBeing aware of something is not the same as having knowledge of or ability in the selected subject matter. Much of the Irish Architecture Engineering & Construction (AEC) industry is now aware of Building Information Modelling (BIM) as highlighted in a national survey from an Academic Industry Body (2016) which shows that a total of 90% of respondents reported that their awareness of BIM has improved to some degree in recent years. However, it is a legitimate question to ask if the industry does have knowledge and understanding of the processes? Defining these processes would be: knowing the difference in maturity levels; adhering to associated standards of that level; producing the associated documentation in accordance with those standards; and managing and sharing the information correctly. BIM software is being utilised throughout industry. One of the key findings of this paper concluded that 100% of respondents of a survey conducted by the author have a stated use of 3D BIM Modelling Software with 86% of respondents using Revit. However, it is important to realise that this is not doing BIM, as Donoghue (2015) highlights that Revit is a tool that merely enables the BIM process. These figures would highlight that the use of software is not a major issue when it comes to BIM implementation. The literature review outlines these BIM processes. Surveys have been conducted to date that highlight the level of adoption of BIM within the industry, however, some conflicting information has materialised. The author will critically analyse these national surveys and outline the results of a targeted survey that was aimed at industry to identify the level of these processes being implemented. Some of the key findings of this paper concluded that the level of BIM that companies say they are operating at conflicts with the procedures followed and documents produced within that company in alignment with that level. The results of this targeted survey shown a lack of knowledge and ability to implement these processes within their BIM operational level. This research paper set out to investigate levels of knowledge of BIM process in the Architecture & Engineering industry in Ireland by breaking down BIM into technologies and process and breaking down process in accordance with PAS 1192-2:2013 to achieve a more specific understanding of the current state of BIM implementation in Ireland. A quantitative research methodology was used to investigate the problem and results and conclusions are presented in this paper
A Hermeneutic Phenomenological Study into the impact of BIM on the Social Dynamics of the AEC professional in the workplace.
No full textA review of the literature published surrounding new digital design and construction technologies and associated processes described within the Architecture, Engineering, and Construction (AEC) community as Building Information Modelling (BIM) or Virtual Design and Construction (VDC) reveals a gap in the theoretical understanding of the impact these technologies are having on professionals who work in this industry. The central aim of this research is to discover if there has been a shift in social dynamics as a result of the adoption of BIM in the workplace and, if there has been, to discuss the meaning of this for the industry and the community who educate these professionals. This study is important as it seeks to develop an understanding of the impact of BIM from the perspective of those AEC professionals affected. The study of human beings is referred to as Anthropology. It is a social science and is characterised as the study of human societies, cultures, and development often affected by social or technical intervention. BIM is an example of a technological intervention that has been introduced into the complex design and construction industry. This multidisciplinary industry has relied on representation in the form of paper-based communication documents for 500 years. However, with the introduction of new technologies, the AEC industry is experiencing a digital transformation, characterised by a move from representation to simulation. The author has conducted a study examining the lived experience of AEC professionals who have come into contact with the subject phenomenon in their workplace. The workplace is the locus for this research. It is defined as the place where the AEC professionals conduct their day to day business. The subjects of this research study are a purposeful selection of industry professionals who have experienced the phenomenon and have told the Author their stories. These lived experiences have been analysed and interpreted using a suitable methodology to address the research question; in this case, Hermeneutic Phenomenology. The data analysis has identified four themes: Identity, Empowerment, Disarrangement and Collaborative Practice. The emergence of these themes and the discussion around them will add new knowledge into the subject area. The study concludes by discussing the implications of this research for the design and construction industry and educational institutions
KumarLabJax/visual-mouse-weight: v1.1.0
No full text<p>Archive code version for "Highly Accurate and Precise Determination of Mouse Mass Using Computer Vision".</p>
Highly accurate and precise determination of mouse mass using computer vision
No full textChanges in body mass are key indicators of health in humans and animals and are routinely monitored in animal husbandry and preclinical studies. In rodent studies, the current method of manually weighing the animal on a balance causes at least two issues. First, directly handling the animal induces stress, possibly confounding studies. Second, these data are static, limiting continuous assessment and obscuring rapid changes. A non-invasive, continuous method of monitoring animal mass would have utility in multiple biomedical research areas. We combine computer vision with statistical modeling to demonstrate the feasibility of deter- mining mouse body mass by using video data. Our methods determine mass with a 4.8% error across genetically diverse mouse strains with varied coat colors and masses. This error is low enough to replace manual weighing in most mouse studies. We conclude that visually determining rodent mass enables non-invasive, continuous monitoring, improving preclinical studies and animal welfare
