770 research outputs found
Bioinformatic Methods and Resources for Biomarker Discovery, Validation, Development, and Integration
No full textMeaningful Consent Study 2 Dataset
No full textData supporting:
Baarslag, Tim et al. (2017) An Automated Negotiation Agent for Permission Management. In, AAMAS 2017: 16th International Conference on Autonomous Agents and Multiagent Systems.
Additional Scenario file added 02/08/2017</span
Energy simulations of a transparent-insulated office facade retrofit in London, UK
No full textPurpose – Transparent insulation materials (TIMs) have been developed for application to building facades to reduce heating energy demands of a building. The purpose of this research is to investigate the feasibility of TI-applications for high-rise and low rise office buildings in London, UK, to reduce heating energy demands in winter and reduce overheating problems in summer.
Design/methodology/approach – The energy performance of these office building models was simulated using an energy simulation package, Environmental Systems Performance-research (ESP-r), for a full calendar year. The simulations were initially performed for the buildings with conventional wall elements, prior to those with TI-systems (TI-walls and TI-glazing) used to replace the conventional wall elements. Surface temperatures of the conventional wall elements and TI-systems, air temperature inside the 20mm wide air gaps in the TI-wall, dry-bulb zone temperature and energy demands required for the office zones were predicted.
Findings – Peak temperatures of between 50 and 70°C were predicted for the internal surface of the TI-systems, which clearly demonstrated the large effect of absorption of solar energy flux by the brick wall mass with an absorptivity of 90 percent behind the TIM layer. In the office zones, the magnitude of temperature swings during daytime was reduced, as demonstrated by a 10 to 12 h delay in heat transmission from the external façade to the office zones. Such reduction indicates the overheating problems could be reduced potentially by TI-applications.
Originality/value – This research presents the scale and scope of design optimisation of TI-systems with ESP-r simulations, which is a critical process prior to applications to real buildings
The Victor Perera Papers: The Archive of a Twentieth Century Sephardic-American Writer
No full textThe author shares the circumstances that led to his encounter with the personal archives of Victor Haim Perera (1934–2003), an award-winning Sephardic-American writer, journalist, environmental and political activist, and academic born in Guatemala City. Perera published six books on topics as varied as Sephardic history, the Maya Indians, and the Loch Ness monster, and contributed dozens of articles, short stories, and essays to newspapers, trade journals, magazines, and literary anthologies. This paper also provides an overview of Perera’s life and work and shares information about the Victor Perera Papers collection at the University of Michigan Library. It presents a case study illustrating that library catalogers can improve discoverability of and access to library special collections by expanding beyond their core duties and investigating the contexts behind the materials that cross their desks. The article ends with a preliminary bibliography of Perera’s works
Originalism: Reclaiming the American Promise
No full textOriginalism best reflects the Founding Fathers’ faith in self-government and also best preserves the legitimacy of the U.S. Supreme Court.
Author information: Ayesh Perera arrived in the United States from Sri Lanka in 2014. He graduated (2018) from Miami University with majors in Economics and Political Science, and is pursuing his Master’s Degree at Harvard University
An automated negotiation agent for permission management
No full textThe digital economy is based on data sharing yet citizens have little control about how their personal data is being used. While data management during web and app-based use is already a challenge, as the Internet of Things (IoT) scales up, the number of devices accessing and requiring personal data will go beyond what a person can manually assess in terms of data access requests. Therefore, new approaches are needed for managing privacy preferences at scale and providing active consent around data sharing that can improve fidelity of operation in alignment with user intent. To address this challenge, we introduce a novel agent-based approach to negotiate the permission to exchange private data between users and services. Our agent negotiates based on learned preferences from actual users. To evaluate our agent-based approach, we developed an experimental tool to run on people's own smartphones, where users were asked to share their private, real data (e.g. photos, contacts, etc) under various conditions. The agent autonomously negotiates potential agreements for the user, which they can refine by manually continuing the negotiation. The agent learns from these interactions and updates the user model in subsequent interactions. We find that the agent is able to effectively capture the preferences and negotiate on the user's behalf but, surprisingly, does not reduce user engagement with the system. Understanding how interaction interplays with agent-based automation is a key component to successful deployment of negotiating agents in real-life settings and within the IoT context in particular
Molecular diagnosis and therapy prediction using biomarkers in the era of next-generation sequencing
No full textMolecular diagnosis and therapy prediction using biomarkers in the era of next-generation sequencing
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