The Experts below are selected from a list of 1740315 Experts worldwide ranked by ideXlab platform
Meaghan Odonnell - One of the best experts on this subject based on the ideXlab platform.
-
disaster reintegration model a Qualitative Analysis on developing korean disaster mental health support model
International Journal of Environmental Research and Public Health, 2018Co-Authors: Yunjung Choi, Hwabok Choi, Meaghan OdonnellAbstract:This study sought to describe the mental health problems experienced by Korean disaster survivors, using a Qualitative research method to provide empirical resources for effective disaster mental health support in Korea. Participants were 16 adults or elderly adults who experienced one or more disasters at least 12 months ago recruited via theoretical sampling. Participants underwent in-depth individual interviews on their disaster experiences, which were recorded and transcribed for Qualitative Analysis, which followed Strauss and Corbin’s (1998) Grounded theory. After open coding, participants’ experiences were categorized into 130 codes, 43 sub-categories and 17 categories. The categories were further analyzed in a paradigm model, conditional model and the Disaster Reintegration Model, which proposed potentially effective mental health recovery strategies for disaster survivors, health providers and administrators. To provide effective assistance for mental health recovery of disaster survivors, both personal and public resilience should be promoted while considering both cultural and spiritual elements.
E Llobet - One of the best experts on this subject based on the ideXlab platform.
-
an electronic tongue design for the Qualitative Analysis of natural waters
Sensors and Actuators B-chemical, 2005Co-Authors: Ramon Martinezmanez, Juan Soto, Eduardo Garciabreijo, Luis Gil, Javier Ibanez, E LlobetAbstract:A new “electronic tongue” has been developed and used for the Qualitative Analysis of natural waters. Both wires and conducting surfaces in thick-film technology were used as potentiometric electrodes and the emf of each electrode in contact with a certain aqueous solution was used as input signal for a PCA Analysis. An array containing the electrodes; RuO2 (with resistivities of 10 � /sq and 1 M� /sq), C, Ag, Ni, Cu, Au, Pt, Al, Sn, Pb and C (graphite) were used in a first approach. To test this “electronic tongue” design, a family of different natural waters were studied. These include seven mineral waters, tap water and osmotised water. Additionally, a Qualitative Analysis of the different waters was performed using fuzzy ARTMAP neural networks. The final system was successfully employed for the differentiation of the above mentioned waters with a success rate higher than 93%. © 2004 Elsevier B.V. All rights reserved.
Song-hua Shen - One of the best experts on this subject based on the ideXlab platform.
-
phoenix a model based human reliability Analysis methodology Qualitative Analysis procedure
Reliability Engineering & System Safety, 2016Co-Authors: Nsimah J Ekanem, Ali Mosleh, Song-hua ShenAbstract:Abstract Phoenix method is an attempt to address various issues in the field of Human Reliability Analysis (HRA). Built on a cognitive human response model, Phoenix incorporates strong elements of current HRA good practices, leverages lessons learned from empirical studies, and takes advantage of the best features of existing and emerging HRA methods. Its original framework was introduced in previous publications. This paper reports on the completed methodology, summarizing the steps and techniques of its Qualitative Analysis phase. The methodology introduces the “Crew Response Tree” which provides a structure for capturing the context associated with Human Failure Events (HFEs), including errors of omission and commission. It also uses a team-centered version of the Information, Decision and Action cognitive model and “macro-cognitive” abstractions of crew behavior, as well as relevant findings from cognitive psychology literature and operating experience, to identify potential causes of failures and influencing factors during procedure-driven and knowledge-supported crew-plant interactions. The result is the set of identified HFEs and likely scenarios leading to each. The methodology itself is generic in the sense that it is compatible with various quantification methods, and can be adapted for use across different environments including nuclear, oil and gas, aerospace, aviation, and healthcare.
-
A Model-Based Approach to HRA: Qualitative Analysis Methodology
2012Co-Authors: Johanna Oxstrand, Dana Kelly, Song-hua Shen, Ali Mosleh, Katrina M. GrothAbstract:This paper describes a model-based approach to the Qualitative portion of Human Reliability Analysis (HRA). The goal of the Qualitative Analysis approach is twofold: 1) to incorporate salient information from the cognitive psychology literature into the Analysis, and 2) to develop models and guidance to support Analysis teams as they gather and organize the information needed for the follow-on quantitative portion of the HRA. A focus in the development has been to provide guidance and assistance for HRA analysts with a wide range of skill levels. This is because the growth in risk-informed applications has demanded that analysts who are not experts in cognitive science must use HRA methods to generate inputs to risk-informed decision-making. The Qualitative Analysis approach is also intended to be generic in the sense that it should be compatible with various quantification methods. Tools have been developed as a part of this approach to Qualitative Analysis, particularly the Crew Response Tree (CRT) and Fault Trees for causal delineation. The Crew Response Tree provides a structured way to identify, define, and decompose Human Failure Events in the HRA. Together with the CRT, the Fault Trees provide the structure needed to enhance consistency and traceability in the Qualitative Analysis. The Fault Trees are designed to guide the analyst in identifying the ways in which plant crews can fail. They represent a simplified model of human cognition in the nuclear power plant domain and have been explicitly linked to currently accepted psychological/cognitive models. This set of tools – the CRT and the Fault Trees – provides enhanced traceability of the HRA Analysis since documentation is inherent in the tools.
Yunjung Choi - One of the best experts on this subject based on the ideXlab platform.
-
disaster reintegration model a Qualitative Analysis on developing korean disaster mental health support model
International Journal of Environmental Research and Public Health, 2018Co-Authors: Yunjung Choi, Hwabok Choi, Meaghan OdonnellAbstract:This study sought to describe the mental health problems experienced by Korean disaster survivors, using a Qualitative research method to provide empirical resources for effective disaster mental health support in Korea. Participants were 16 adults or elderly adults who experienced one or more disasters at least 12 months ago recruited via theoretical sampling. Participants underwent in-depth individual interviews on their disaster experiences, which were recorded and transcribed for Qualitative Analysis, which followed Strauss and Corbin’s (1998) Grounded theory. After open coding, participants’ experiences were categorized into 130 codes, 43 sub-categories and 17 categories. The categories were further analyzed in a paradigm model, conditional model and the Disaster Reintegration Model, which proposed potentially effective mental health recovery strategies for disaster survivors, health providers and administrators. To provide effective assistance for mental health recovery of disaster survivors, both personal and public resilience should be promoted while considering both cultural and spiritual elements.
Wojciech Wroblewski - One of the best experts on this subject based on the ideXlab platform.
-
polymeric membrane ion selective and cross sensitive electrode based electronic tongue for Qualitative Analysis of beverages
Analyst, 2004Co-Authors: Patrycja Ciosek, Ewa Augustyniak, Wojciech WroblewskiAbstract:An electronic tongue based on the sensor array of polymeric membrane ion-selective electrodes combined with pattern recognition tools was applied to Qualitative Analysis of various brands of orange juice, tonic, and milk. The capability of this device to reliably discriminate between different brands of those products was presented. The tests of the system were performed using products of the same brand, but with different manufacture dates (and thus comparable by the term of taste). The fusion of two types of sensors–classical selective ones and partially selective in one versatile array, and working out the sensor array’s response by means of principal component Analysis and back propagation neural network methods allowed the discrimination between different brands of various beverages with very high accuracy (90–100%). The real performance of the electronic tongue was evaluated applying testing samples from another manufacture lot, than the samples used in the learning set.