Primary Factors Influencing Green Building in Cities in the Pacific Northwest

This article provides empirical evidence that the factors of context and social climate are the most influential for achieving green building. Using both chi-squared analysis and factor analysis findings indicate that providing the context and social climate which can reduce transaction costs influence green building. Specifically, through policies and guidelines, having the local expertise and support to make the outcomes occur are all important factors. Additionally, central cities were much more likely to engage in green building than suburban or non-metropolitan areas. This finding has implications for matters of collective action

Medics: Medical Decision Support System for Long-Duration Space Exploration

The Autonomous Medical Operations (AMO) group at NASA Ames is developing a medical decision support system to enable astronauts on long-duration exploration missions to operate autonomously. The system will support clinical actions by providing medical interpretation advice and procedural recommendations during emergent care and clinical work performed by crew. The current state of development of the system, called MedICS (Medical Interpretation Classification and Segmentation) includes two separate aspects: a set of machine learning diagnostic models trained to analyze organ images and patient health records, and an interface to ultrasound diagnostic hardware and to medical repositories. Three sets of images of different organs and medical records were utilized for training machine learning models for various analyses, as follows: 1. Pneumothorax condition (collapsed lung). The trained model provides a positive or negative diagnosis of the condition. 2. Carotid artery occlusion. The trained model produces a diagnosis of 5 different occlusion levels (including normal). 3. Ocular retinal images. The model extracts optic disc pixels (image segmentation). This is a precursor step for advanced autonomous fundus clinical evaluation algorithms to be implemented in FY20. 4. Medical health records. The model produces a differential diagnosis for any particular individual, based on symptoms and other health and demographic information. A probability is calculated for each of 25 most common conditions. The same model provides the likelihood of survival. All results are provided with a confidence level. Item 1 images were provided by the US Army and were part of a data set for the clinical treatment of injured battlefield soldiers. This condition is relevant to possible space mishaps, due to pressure management issues. Item 2 images were provided by Houston Methodist Hospital, and item 3 health records were acquired from the MIT laboratory of computational physiology. The machine learning technology utilized is deep multilayer networks (Deep Learning), and new models will continue to be produced, as relevant data is made available and specific health needs of astronaut crews are identified. The interfacing aspects of the system include a GUI for running the different models, and retrieving and storing data, as well as support for integration with an augmented reality (AR) system deployed at JSC by Tietronix Software Inc. (HoloLens). The AR system provides guidance for the placement of an ultrasound transducer that captures images to be sent to the MedICS system for diagnosis. The image captured and the associated diagnosis appear in the technicians AR visual display

Applying the CACAO Change Model to Promote Systemic Transformation in STEM

Since its inception in the Middle Ages, the university classroom can be characterized by students gathered around a sage who imparts his or her knowledge. However, the effective classroom of today looks vastly different: First-year engineering students not only learn basic engineering principles, but are also guided to consider their own inner values and motivations as they design and build adaptive devices for people with disabilities; students in a large chemistry lecture work animatedly together in small groups on inquiry-based activities while an instructor and teaching assistants circulate and guide their learning; students learning differential equations practice explicit metacognitive skills while problem-solving in class. Even though educational research, especially research that is targeted at STEM disciplines, demonstrates what most effectively engages students and supports their learning, many of today\u27s classrooms look much like they did a century ago, with a professor delivering a primarily one-way lecture and students passively sitting in seats bolted to the floor. At this juncture in history, colleges and universities face a public call to engage a more diverse representation of students in effective learning, persistence, and degree attainment, and to do so economically and efficiently. It is essential that institutions draw upon methods demonstrated to effectively increase student learning and success. Educational researchers have thoroughly explored the basic science in this area, and a body of literature documents effective evidence-based instructional practices, hereafter referred to as EBIPs

Video Spaces : Eight Installations

In this tabloid-format catalogue on nine international video artists' work in eight exhibitions, London writes on the artistic maturity of video. Artist's statements. Biographical notes

Standby power use: How big is the problem? What policies and technical solutions can address it?

Standby power, as defined in this paper, is the electricity consumed by end-use electrical equipment when it is switched off or not performing its main function. Standby power consumption represents an increasing fraction of energy use in Organization for Economic Cooperation and Development (OECD) countries; the rapid penetration of new and digital technology is likely to accelerate the growth of standby power use. Standby power is currently estimated to account for about 3 to 10 percent of home and office electricity use. Recently, the International Energy Agency (IEA) launched a worldwide initiative to reduce standby power consumption, and there is general agreement that action is urgently needed to avoid large increases in standby power use. Reduction of standby power consumption worldwide could reduce CO2 emissions by one percent. A number of OECD countries and regions already have policies to address standby power use; other regions have launched policy initiatives in response to IEA's recent international workshops on standby power. Global policy efforts are needed to influence manufacturers, who generally produce and market products worldwide, to reduce the standby power consumption of their products. Some leading manufacturers are already responding to global calls to reduce standby power consumption by developing new technologies and products.The paper presents the most recent figures on standby consumption in OECD countries and China; discusses trends, details of national strategies, policies to reduce standby consumption, and technical solutions; and concludes with a renewed call for international efforts to reduce standby power consumption