scholarly journals Resilient Homes Online Design Aide: Connecting Research and Practice for Socially Resilient Communities

2018 ◽  
Author(s):  
David Fannon ◽  
◽  
Michelle Laboy ◽  
Keyword(s):  
Decision Support ◽  
Data Analysis ◽  
Built Environment ◽  
Information Sharing ◽  
Public Outreach ◽  
Research And Practice ◽  
New Knowledge ◽  
Resilient Communities ◽  
Online Design ◽  
Architectural Research

Resilience in architectural research, discourse, and practice tends to focus on physical aspects of the built environment. Much of the discussion within this technological domain of resilience resolves around singular, unique, and high value facilities: ignoring the vast fabric of buildings where most people live. However, studies in socioecological resilience suggests that resilience in the built environment must address people and systems, not merely property. Transitioning to this focus will both require and result in broadening architecture’s interest and influence beyond the normal physical boundaries of the built environment. To effectively engage this broader scope, new tools must enable new modes of public outreach, information sharing, data analysis, decision support, and ultimately create new knowledge. This paper describes the motivation, development, and preliminary findings of one such tool, the Resilient Home Online Design Aide (RHOnDA). This results suggest a cycle of participatory architectural research to advance socioecological resilience.

Speech Influence Mechanisms and Models in Polycode and Polymodal Text (Using the Example of Regional Television Sports Coverage)

2021 ◽  
Vol 10 (1) ◽  
pp. 72-76
Author(s):  
Elina Nikitina
Keyword(s):  
Information Sharing ◽  
New Knowledge ◽  
Field Of Values ◽  
Sports Coverage ◽  
Points Of View

This article analyzes speech influence mechanisms and models in polycode and polymodal text. As an example, we took a sports coverages aired on regional television, since it is a polycode and polymodal composing. The publication presents speech influence mechanisms and models proposed by various researchers. Taking into consideration various points of view it can be assumed that speech influence in television sports coverage occurs through the information sharing on two levels proposed by A.A. Leontiev. This process is carried out either by introducing new knowledge about reality into the field of values of the recipient, on the basis of which he will change his behavior or his attitude to this reality, or by changing the field of values of the recipient without introducing new elements.

Application of Multidimensional Data Analysis in Power Marketing Decision Support System Based on Big Data

2016 ◽  
Vol 9 (10) ◽  
pp. 295-304
Author(s):  
Sun Zhineng ◽  
Yu Fang ◽  
Zhou Kaihe ◽  
Li Jiangang ◽  
Fang Yunhui
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Data Analysis ◽  
Decision Support System ◽  
Support System ◽  
Multidimensional Data ◽  
Multidimensional Data Analysis ◽  
Marketing Decision

A decision support system for secure information sharing

2009 ◽  
Author(s):  
Achille Fokoue ◽  
Mudhakar Srivatsa ◽  
Pankaj Rohatgi ◽  
Peter Wrobel ◽  
John Yesberg
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Information Sharing ◽  
Support System ◽  
Secure Information ◽  
Secure Information Sharing

Agents in bioinformatics

2005 ◽  
Vol 20 (2) ◽  
pp. 117-125 ◽  
Author(s):  
MICHAEL LUCK ◽  
EMANUELA MERELLI
Keyword(s):  
Data Analysis ◽  
Simulation Models ◽  
Biological Data ◽  
System Modelling ◽  
Agent Based Simulation ◽  
Huge Amount ◽  
Agent Based ◽  
Information Agents ◽  
New Knowledge ◽  
Definition Of

The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarize and reflect on the presentations and discussions.

DREAM: a shell-like software system for medical data analysis and decision support

1993 ◽  
Vol 40 (2) ◽  
pp. 73-81 ◽  
Author(s):  
Ludmila Kuncheva ◽  
Kostadinka Andreeva
Keyword(s):  
Decision Support ◽  
Data Analysis ◽  
Medical Data ◽  
Software System

Characterizing Workflow to Inform Clinical Decision Support Systems in Nursing Homes

2018 ◽  
Vol 59 (6) ◽  
pp. 1024-1033 ◽  
Author(s):  
Mustafa Ozkaynak ◽  
Blaine Reeder ◽  
Cynthia Drake ◽  
Peter Ferrarone ◽  
Barbara Trautner ◽  
...  
Keyword(s):  
Decision Support ◽  
Data Analysis ◽  
Nursing Homes ◽  
Clinical Decision Support ◽  
Care Delivery ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Staff Members ◽  
Design And Implementation ◽  
Multiple Levels

Abstract Background and Objectives Clinical decision support systems (CDSS) hold promise to influence clinician behavior at the point of care in nursing homes (NHs) and improving care delivery. However, the success of these interventions depends on their fit with workflow. The purpose of this study was to characterize workflow in NHs and identify implications of workflow for the design and implementation of CDSS in NHs. Research Design and Methods We conducted a descriptive study at 2 NHs in a metropolitan area of the Mountain West Region of the United States. We characterized clinical workflow in NHs, conducting 18 observation sessions and interviewing 15 staff members. A multilevel work model guided our data collection and framework method guided data analysis. Results The qualitative analysis revealed specific aspects of multilevel workflow in NHs: (a) individual, (b) work group/unit, (c) organization, and (d) industry levels. Data analysis also revealed several additional themes regarding workflow in NHs: centrality of ongoing relationships of staff members with the residents to care delivery in NHs, resident-centeredness of care, absence of memory aids, and impact of staff members’ preferences on work activities. We also identified workflow-related differences between the two settings. Discussion and Implications Results of this study provide a rich understanding of the characteristics of workflow in NHs at multiple levels. The design of CDSS in NHs should be informed by factors at multiple levels as well as the emergent processes and contextual factors. This understanding can allow for incorporating workflow considerations into CDSS design and implementation.

scholarly journals La fotografía como herramienta de reflexión e investigación en prototipos domésticos | Photography as thinking and research tool in domestic prototypes

ZARCH ◽  
2016 ◽  
pp. 220
Author(s):  
Inés García
Keyword(s):  
Domestic Space ◽  
Political Movements ◽  
Spatial Politics ◽  
Cultural Changes ◽  
Construction Of Knowledge ◽  
Architectural Production ◽  
New Knowledge ◽  
Architectural Research ◽  
Ways Of Being ◽  
Historical Periods

La fotografía tiene el poder de remover las emociones y el pensamiento contribuyendo a la construcción de conocimiento. Desde la aparición de la herramienta fotográfica las imágenes han servido de mecanismo activador en la producción arquitectónica, sus códigos ubican épocas, modos y modas, y (des)contextualizadas ayudan a entender y potencian la reflexión y la generación de un nuevo saber. Las fotografías de arquitecturas no construidas o concebidas con una corta vida, ayudan al constructo del pensamiento arquitectónico, al igual que lo hacen las imágenes generadas desde diferentes modos de estar y producir entendimiento en el espacio cultural, estableciendo etapas de evolución y nuevos paradigmas. El espacio doméstico es un buen ejemplo de desarrollo en el constructivo social, afectado inevitablemente por momentos históricos y cambios culturales. Las fotografías conservadas sobre prototipos, artefactos y dispositivos domésticos no construidos, al igual que la narrativa de imágenes que documentan movimientos sociales, posicionamientos culturales y políticas espaciales, son hoy día la base de nuestras investigaciones y erudición arquitectónica. Photography has the power to stir emotions and thinking contributing both to the construction of knowledge. Since photography was discovered images have been used as an activator of different mechanisms for architectural production. Its codes situate epochs, ways of living and trends, and decontextualized this images help to understand and enhance thinking and the production of new knowledge. Photographs of unbuilt architecture help to create architectural thinking, as well as images generated from different ways of being and which produce comprehension in the cultural space do, setting stages of evolution and new paradigms. Domestic space is good example of development in social construction, affected by historical periods and cultural changes. The existing photographs about prototypes, domestic gadgets and devices which were not built, as well as the narrative of the images which document social and political movements, cultural positions and spatial politics, are the basis of our architectural research and learning nowadays.

scholarly journals A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6209
Author(s):  
Andrei Velichko
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Decision Support ◽  
Data Analysis ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Classification Accuracy ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Medical Data

Edge computing is a fast-growing and much needed technology in healthcare. The problem of implementing artificial intelligence on edge devices is the complexity and high resource intensity of the most known neural network data analysis methods and algorithms. The difficulty of implementing these methods on low-power microcontrollers with small memory size calls for the development of new effective algorithms for neural networks. This study presents a new method for analyzing medical data based on the LogNNet neural network, which uses chaotic mappings to transform input information. The method effectively solves classification problems and calculates risk factors for the presence of a disease in a patient according to a set of medical health indicators. The efficiency of LogNNet in assessing perinatal risk is illustrated on cardiotocogram data obtained from the UC Irvine machine learning repository. The classification accuracy reaches ~91% with the~3–10 kB of RAM used on the Arduino microcontroller. Using the LogNNet network trained on a publicly available database of the Israeli Ministry of Health, a service concept for COVID-19 express testing is provided. A classification accuracy of ~95% is achieved, and~0.6 kB of RAM is used. In all examples, the model is tested using standard classification quality metrics: precision, recall, and F1-measure. The LogNNet architecture allows the implementation of artificial intelligence on medical peripherals of the Internet of Things with low RAM resources and can be used in clinical decision support systems.

Sign in / Sign up

Export Citation Format

Share Document