Simulation based learning in midwifery education: a systematic review
- Cooper, Simon J., Cant, Robyn, Porter, Joanne, Bogossian, Fiona, McKenna, Lisa, Brady, Susannah, Fox-Young, Stephanie
- Authors: Cooper, Simon J. , Cant, Robyn , Porter, Joanne , Bogossian, Fiona , McKenna, Lisa , Brady, Susannah , Fox-Young, Stephanie
- Date: 2012
- Type: Text , Journal article
- Relation: Women and Birth Vol. 25, no. 2 (2012), p. 64-78
- Full Text:
- Reviewed:
- Description: Abstract Aim To critically examine the evidence for simulation based learning in midwifery education. Background Simulated Learning Programs (SLPs) using low to high fidelity techniques are common in obstetric professionals’ education and focus on the development of team work, labour and obstetric emergencies. Review methods A systematic review incorporating critical appraisal approaches, setting clear objectives and a defined search and analysis strategy. Evidence from obstetrics, neonatology, technical and non-technical skills (teamwork) was included where it informed the development of midwifery curricula. Studies in English from 2000 to 2010 were included searching CINAHL Plus, OVID Medline, Cochrane, SCOPUS and ProQuest and Google Scholar. Results Twenty-four papers were identified that met the inclusion criteria. All were quantitative reports; outcomes and levels of evidence varied with two notable papers indicating that simulation had an impact on clinical practice. Benefits of SLP over didactic formats were apparent, as were the development of non-technical skills confidence and competence. The study outcomes were limited by the range of evidence and context of the reports which focussed on obstetric emergency training using a number of simulation techniques. Conclusion There is evidence that simulated learning of midwifery skills is beneficial. Simulation learning has an educational and clinical impact and advantages over didactic approaches. Where clinical practice is infrequent i.e. obstetric emergencies, simulation is an essential component of curricula. Simulation enhances practice and therefore may reduce the time taken to achieve competence; however there is no evidence from the literature that simulation should replace clinical practice.
Managing patient deterioration: A protocol for enhancing student nurses' competence through web-based simulation and feedback techniques
- Cooper, Simon J., Beauchamp, Alison, Bogossian, Fiona, Bucknall, Tracey, Cant, Robyn, Devries, Brett, Endacott, Ruth, Forbes, Helen, Hill, Robyn, Kinsman, Leigh, Kain, Victoria, McKenna, Lisa, Porter, Joanne, Phillips, Nicole, Young, Susan
- Authors: Cooper, Simon J. , Beauchamp, Alison , Bogossian, Fiona , Bucknall, Tracey , Cant, Robyn , Devries, Brett , Endacott, Ruth , Forbes, Helen , Hill, Robyn , Kinsman, Leigh , Kain, Victoria , McKenna, Lisa , Porter, Joanne , Phillips, Nicole , Young, Susan
- Date: 2012
- Type: Text , Journal article
- Relation: BMC Nursing Vol. 11, no. 18 (2012), p.1-7
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- Description: Aims To describe a funded proposal for the development of an on-line evidence based educational program for the management of deteriorating patients. Background There are international concerns regarding the management of deteriorating patients with issues around the ‘failure to rescue’. The primary response to these issues has been the development of medical emergency teams with little focus on the education of primary first responders. Design/Methods A mixed methods triangulated convergent design. In this four phase proposal we plan to 1. examine nursing student team ability to manage deteriorating patients and based upon these findings 2. develop web based educational material, including interactive scenarios. This educational material will be tested and refined in the third Phase 3, prior to evaluation and dissemination in the final phase. Conclusion This project aims to enhance knowledge development for the management of deteriorating patients through rigorous assessment of team performance and to produce a contemporary evidence-based online training program.
- Authors: Cooper, Simon J. , Beauchamp, Alison , Bogossian, Fiona , Bucknall, Tracey , Cant, Robyn , Devries, Brett , Endacott, Ruth , Forbes, Helen , Hill, Robyn , Kinsman, Leigh , Kain, Victoria , McKenna, Lisa , Porter, Joanne , Phillips, Nicole , Young, Susan
- Date: 2012
- Type: Text , Journal article
- Relation: BMC Nursing Vol. 11, no. 18 (2012), p.1-7
- Full Text:
- Reviewed:
- Description: Aims To describe a funded proposal for the development of an on-line evidence based educational program for the management of deteriorating patients. Background There are international concerns regarding the management of deteriorating patients with issues around the ‘failure to rescue’. The primary response to these issues has been the development of medical emergency teams with little focus on the education of primary first responders. Design/Methods A mixed methods triangulated convergent design. In this four phase proposal we plan to 1. examine nursing student team ability to manage deteriorating patients and based upon these findings 2. develop web based educational material, including interactive scenarios. This educational material will be tested and refined in the third Phase 3, prior to evaluation and dissemination in the final phase. Conclusion This project aims to enhance knowledge development for the management of deteriorating patients through rigorous assessment of team performance and to produce a contemporary evidence-based online training program.
Managing deteriorating patients: Registered nurses' performance in a simulated setting
- Cooper, Simon J., McConnell-Henry, Tracy, Cant, Robyn, Porter, Joanne, Missen, Karen, Kinsman, Leigh, Endacott, Ruth, Scholes, Julie
- Authors: Cooper, Simon J. , McConnell-Henry, Tracy , Cant, Robyn , Porter, Joanne , Missen, Karen , Kinsman, Leigh , Endacott, Ruth , Scholes, Julie
- Date: 2011
- Type: Text , Journal article
- Relation: The Open Nursing Journal Vol. 5, no. (2011), p. 120-126
- Full Text:
- Reviewed:
- Description: Aim: To examine, in a simulated environment, rural nurses’ ability to assess and manage patient deterioration using measures of knowledge, situation awareness and skill performance. Background: Nurses’ ability to manage deterioration and ‘failure to rescue’ are of significant concern with questions over knowledge and clinical skills. Simulated emergencies may help to identify and develop core skills. Methods: An exploratory quantitative performance review. Thirty five nurses from a single ward completed a knowledge questionnaire and two video recorded simulated scenarios in a rural hospital setting. Patient actors simulated deteriorating patients with an Acute Myocardial Infarction (AMI) and Chronic Obstructive Pulmonary Disease (COPD) as the primary diagnosis. How aware individuals were of the situation (levels of situation awareness) were measured at the end of each scenario. Results: Knowledge of deterioration management varied considerably (range: 27%-91%) with a mean score of 67%. Average situation awareness scores and skill scores across the two scenarios (AMI and COPD) were low (50%) with many important observations and actions missed. Participants did identify that ‘patients’ were deteriorating but as each patient deteriorated staff performance declined with a reduction in all observational records and actions. In many cases, performance decrements appeared to be related to high anxiety levels. Participants tended to focus on single signs and symptoms and failed to use a systematic approach to patient assessment. Conclusion: Knowledge and skills were generally low in this rural hospital sample with notable performance decrements as patients acutely declined. Educational models that incorporate high fidelity simulation and feedback techniques are likely to have a significant positive impact on performance.
- Authors: Cooper, Simon J. , McConnell-Henry, Tracy , Cant, Robyn , Porter, Joanne , Missen, Karen , Kinsman, Leigh , Endacott, Ruth , Scholes, Julie
- Date: 2011
- Type: Text , Journal article
- Relation: The Open Nursing Journal Vol. 5, no. (2011), p. 120-126
- Full Text:
- Reviewed:
- Description: Aim: To examine, in a simulated environment, rural nurses’ ability to assess and manage patient deterioration using measures of knowledge, situation awareness and skill performance. Background: Nurses’ ability to manage deterioration and ‘failure to rescue’ are of significant concern with questions over knowledge and clinical skills. Simulated emergencies may help to identify and develop core skills. Methods: An exploratory quantitative performance review. Thirty five nurses from a single ward completed a knowledge questionnaire and two video recorded simulated scenarios in a rural hospital setting. Patient actors simulated deteriorating patients with an Acute Myocardial Infarction (AMI) and Chronic Obstructive Pulmonary Disease (COPD) as the primary diagnosis. How aware individuals were of the situation (levels of situation awareness) were measured at the end of each scenario. Results: Knowledge of deterioration management varied considerably (range: 27%-91%) with a mean score of 67%. Average situation awareness scores and skill scores across the two scenarios (AMI and COPD) were low (50%) with many important observations and actions missed. Participants did identify that ‘patients’ were deteriorating but as each patient deteriorated staff performance declined with a reduction in all observational records and actions. In many cases, performance decrements appeared to be related to high anxiety levels. Participants tended to focus on single signs and symptoms and failed to use a systematic approach to patient assessment. Conclusion: Knowledge and skills were generally low in this rural hospital sample with notable performance decrements as patients acutely declined. Educational models that incorporate high fidelity simulation and feedback techniques are likely to have a significant positive impact on performance.
- Buykx, Penny, Kinsman, Leigh, Cooper, Simon J., McConnell-Henry, Tracy, Cant, Robyn, Endacott, Ruth
- Authors: Buykx, Penny , Kinsman, Leigh , Cooper, Simon J. , McConnell-Henry, Tracy , Cant, Robyn , Endacott, Ruth
- Date: 2011
- Type: Text , Journal article
- Relation: Nurse Education Today Vol. 31, no. 7 (2011), p. 687-693
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- Description: Delayed assessment and mismanagement of patient deterioration is a substantial problem for which educational preparation can have an impact. This paper describes the development of the FIRST2ACT simulation model based on well-established theory and contemporary empirical evidence. The model combines evidence-based elements of assessment, simulation, self-review and expert feedback, and has been tested in undergraduate nurses, student midwives and post-registration nurses. Participant evaluations indicated a high degree of satisfaction and substantial self-rated increases in knowledge, confidence and competence. This evidence-based model should be considered for both undergraduate and post-registration education programs.
Simulating combined SO2 and CO2 capture from combustion flue gas
- Verheyen, Vincent, Cousins, Ashleigh, Pearson, Pauline, Puxty, Graeme, Jiang, Kaiqi, Garg, Bharti, Zhai, Rongrong, Ott, Petro, Feron, Paul
- Authors: Verheyen, Vincent , Cousins, Ashleigh , Pearson, Pauline , Puxty, Graeme , Jiang, Kaiqi , Garg, Bharti , Zhai, Rongrong , Ott, Petro , Feron, Paul
- Date: 2019
- Type: Text , Journal article
- Relation: Greenhouse Gases : Science and Technology Vol. 9, no. 6 (2019), p. 1087-1095
- Full Text:
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- Description: The requirement to pre‐treat flue gas prior to the CO2 capture step is an economic challenge when using aqueous amine absorbents for capturing CO2 from coal‐fired power station flue gases. A potentially lower cost alternative is to combine the capture of both CO2 and SO2 from the flue gas into a single process, removing the requirement for the desulfurization pre‐treatment step. The CSIRO's CS‐Cap process uses a single aqueous amine absorbent to capture both of these acid gases from flue gas streams. This paper covers the initial simulation of this process applied to both brown and black coal flue gases. Removal of absorbed SO2 is achieved via reactive crystallization. This is simulated here using a ‘black box’ process, resulting in a K2SO4 product. Different operating conditions have been evaluated that increase the sulfate concentration of the absorbent in the SO2 capture section of the process, which is expected to increase the efficiency of the reactive crystallization step. This paper provides information on the absorption of SO2 into the amine solution, and heat and mass balances for the wider process. This information will be required for further detailed simulation of the reactive crystallization step, and economic evaluation of the CS‐Cap process. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.
- Authors: Verheyen, Vincent , Cousins, Ashleigh , Pearson, Pauline , Puxty, Graeme , Jiang, Kaiqi , Garg, Bharti , Zhai, Rongrong , Ott, Petro , Feron, Paul
- Date: 2019
- Type: Text , Journal article
- Relation: Greenhouse Gases : Science and Technology Vol. 9, no. 6 (2019), p. 1087-1095
- Full Text:
- Reviewed:
- Description: The requirement to pre‐treat flue gas prior to the CO2 capture step is an economic challenge when using aqueous amine absorbents for capturing CO2 from coal‐fired power station flue gases. A potentially lower cost alternative is to combine the capture of both CO2 and SO2 from the flue gas into a single process, removing the requirement for the desulfurization pre‐treatment step. The CSIRO's CS‐Cap process uses a single aqueous amine absorbent to capture both of these acid gases from flue gas streams. This paper covers the initial simulation of this process applied to both brown and black coal flue gases. Removal of absorbed SO2 is achieved via reactive crystallization. This is simulated here using a ‘black box’ process, resulting in a K2SO4 product. Different operating conditions have been evaluated that increase the sulfate concentration of the absorbent in the SO2 capture section of the process, which is expected to increase the efficiency of the reactive crystallization step. This paper provides information on the absorption of SO2 into the amine solution, and heat and mass balances for the wider process. This information will be required for further detailed simulation of the reactive crystallization step, and economic evaluation of the CS‐Cap process. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.
Performance assessment of a solar dryer system using small parabolic dish and alumina/oil nanofluid : simulation and experimental study
- Arkian, Amir, Najafi, Gholamhassan, Gorjian, Shiva, Loni, Reyhaneh, Bellos, Evangelos, Yusaf, Talal
- Authors: Arkian, Amir , Najafi, Gholamhassan , Gorjian, Shiva , Loni, Reyhaneh , Bellos, Evangelos , Yusaf, Talal
- Date: 2019
- Type: Text , Journal article
- Relation: Energies Vol. 12, no. 24 (Dec 2019), p. 22
- Full Text:
- Reviewed:
- Description: In this study, a small dish concentrator with a cylindrical cavity receiver was experimentally investigated as the heat source of a dryer. The system was examined for operation with pure thermal oil and Al2O3/oil nanofluid as the working fluids in the solar system. Moreover, the design, the development, and the evaluation of the dried mint plant are presented in this work. Also, the solar dryer system was simulated by the SolidWorks and ANSYS CFX software. On the other side, the color histogram of the wet and dried mint samples based on the RGB method was considered. The results revealed that the different temperatures of the solar working fluids at the inlet and outlet of the cavity receiver showed similar trend data compared to the variation of the solar radiation during the experimental test. Moreover, it is found that the cavity heat gain and thermal efficiency of the solar system was improved by using the nanofluid as the solar working fluid. Furthermore, the required time for mint drying had decreased by increasing the drying temperature and increasing air speed. The highest drying time was measured equal to 320 min for the condition of the air speed equal to 0.5 m/s and the drying temperature of 30 degrees C. A good agreement was observed between the calculated numerical results and measured experimental data. Finally, based on the color histogram of the wet and dried mint samples, it was concluded that intensity amount of the red color of the mint increased with the drying process compared to intensity amount of the red color of the wet mint sample.
- Authors: Arkian, Amir , Najafi, Gholamhassan , Gorjian, Shiva , Loni, Reyhaneh , Bellos, Evangelos , Yusaf, Talal
- Date: 2019
- Type: Text , Journal article
- Relation: Energies Vol. 12, no. 24 (Dec 2019), p. 22
- Full Text:
- Reviewed:
- Description: In this study, a small dish concentrator with a cylindrical cavity receiver was experimentally investigated as the heat source of a dryer. The system was examined for operation with pure thermal oil and Al2O3/oil nanofluid as the working fluids in the solar system. Moreover, the design, the development, and the evaluation of the dried mint plant are presented in this work. Also, the solar dryer system was simulated by the SolidWorks and ANSYS CFX software. On the other side, the color histogram of the wet and dried mint samples based on the RGB method was considered. The results revealed that the different temperatures of the solar working fluids at the inlet and outlet of the cavity receiver showed similar trend data compared to the variation of the solar radiation during the experimental test. Moreover, it is found that the cavity heat gain and thermal efficiency of the solar system was improved by using the nanofluid as the solar working fluid. Furthermore, the required time for mint drying had decreased by increasing the drying temperature and increasing air speed. The highest drying time was measured equal to 320 min for the condition of the air speed equal to 0.5 m/s and the drying temperature of 30 degrees C. A good agreement was observed between the calculated numerical results and measured experimental data. Finally, based on the color histogram of the wet and dried mint samples, it was concluded that intensity amount of the red color of the mint increased with the drying process compared to intensity amount of the red color of the wet mint sample.
The value of simulation-based learning in pre-licensure nurse education : A state-of-the-art review and meta-analysis
- Cant, Robyn, Cooper, Simon J.
- Authors: Cant, Robyn , Cooper, Simon J.
- Date: 2017
- Type: Text , Journal article , Review
- Relation: Nurse Education in Practice Vol. 27, no. (2017), p. 45-62
- Full Text:
- Reviewed:
- Description: Simulation modalities are numerous in nursing education, with a need to reveal their range and impact. We reviewed current evidence for effectiveness of medium to high fidelity simulation as an education mode in pre-licensure/pre-registration nurse education. A state-of-the-art review and meta-analyses was conducted based on a systematic search of publications in English between 2010 and 2015. Of 72 included studies, 43 were quantitative primary studies (mainly quasi-experimental designs), 13 were qualitative studies and 16 were reviews of literature. Forty of 43 primary studies reported benefits to student learning, and student satisfaction was high. Simulation programs provided multi-modal ways of learning. A meta-analysis (8 studies, n = 652 participants) identified that simulation programs significantly improved clinical knowledge from baseline. The weighted mean increase was 5.0 points (CI: 3.25–6.82) on a knowledge measure. Other objectively rated measures (eg, trained observers with checklists) were few. Reported subjective measures such as confidence and satisfaction when used alone have a strong potential for results bias. Studies presented valid empirical evidence, but larger studies are required. Simulation programs in pre-licensure nursing curricula demonstrate innovation and excellence. The programs should be shared across the discipline to facilitate development of multimodal learning for both pre-licensure and postgraduate nurses.
- Description: Simulation modalities are numerous in nursing education, with a need to reveal their range and impact. We reviewed current evidence for effectiveness of medium to high fidelity simulation as an education mode in pre-licensure/pre-registration nurse education. A state-of-the-art review and meta-analyses was conducted based on a systematic search of publications in English between 2010 and 2015. Of 72 included studies, 43 were quantitative primary studies (mainly quasi-experimental designs), 13 were qualitative studies and 16 were reviews of literature. Forty of 43 primary studies reported benefits to student learning, and student satisfaction was high. Simulation programs provided multi-modal ways of learning. A meta-analysis (8 studies, n = 652 participants) identified that simulation programs significantly improved clinical knowledge from baseline. The weighted mean increase was 5.0 points (CI: 3.25–6.82) on a knowledge measure. Other objectively rated measures (eg, trained observers with checklists) were few. Reported subjective measures such as confidence and satisfaction when used alone have a strong potential for results bias. Studies presented valid empirical evidence, but larger studies are required. Simulation programs in pre-licensure nursing curricula demonstrate innovation and excellence. The programs should be shared across the discipline to facilitate development of multimodal learning for both pre-licensure and postgraduate nurses. © 2017 Elsevier Ltd
- Authors: Cant, Robyn , Cooper, Simon J.
- Date: 2017
- Type: Text , Journal article , Review
- Relation: Nurse Education in Practice Vol. 27, no. (2017), p. 45-62
- Full Text:
- Reviewed:
- Description: Simulation modalities are numerous in nursing education, with a need to reveal their range and impact. We reviewed current evidence for effectiveness of medium to high fidelity simulation as an education mode in pre-licensure/pre-registration nurse education. A state-of-the-art review and meta-analyses was conducted based on a systematic search of publications in English between 2010 and 2015. Of 72 included studies, 43 were quantitative primary studies (mainly quasi-experimental designs), 13 were qualitative studies and 16 were reviews of literature. Forty of 43 primary studies reported benefits to student learning, and student satisfaction was high. Simulation programs provided multi-modal ways of learning. A meta-analysis (8 studies, n = 652 participants) identified that simulation programs significantly improved clinical knowledge from baseline. The weighted mean increase was 5.0 points (CI: 3.25–6.82) on a knowledge measure. Other objectively rated measures (eg, trained observers with checklists) were few. Reported subjective measures such as confidence and satisfaction when used alone have a strong potential for results bias. Studies presented valid empirical evidence, but larger studies are required. Simulation programs in pre-licensure nursing curricula demonstrate innovation and excellence. The programs should be shared across the discipline to facilitate development of multimodal learning for both pre-licensure and postgraduate nurses.
- Description: Simulation modalities are numerous in nursing education, with a need to reveal their range and impact. We reviewed current evidence for effectiveness of medium to high fidelity simulation as an education mode in pre-licensure/pre-registration nurse education. A state-of-the-art review and meta-analyses was conducted based on a systematic search of publications in English between 2010 and 2015. Of 72 included studies, 43 were quantitative primary studies (mainly quasi-experimental designs), 13 were qualitative studies and 16 were reviews of literature. Forty of 43 primary studies reported benefits to student learning, and student satisfaction was high. Simulation programs provided multi-modal ways of learning. A meta-analysis (8 studies, n = 652 participants) identified that simulation programs significantly improved clinical knowledge from baseline. The weighted mean increase was 5.0 points (CI: 3.25–6.82) on a knowledge measure. Other objectively rated measures (eg, trained observers with checklists) were few. Reported subjective measures such as confidence and satisfaction when used alone have a strong potential for results bias. Studies presented valid empirical evidence, but larger studies are required. Simulation programs in pre-licensure nursing curricula demonstrate innovation and excellence. The programs should be shared across the discipline to facilitate development of multimodal learning for both pre-licensure and postgraduate nurses. © 2017 Elsevier Ltd
Modelling a biorefinery concept producing carbon fibre-polybutylene succinate composite foam
- Ghayur, Adeel, Verheyen, Vincent
- Authors: Ghayur, Adeel , Verheyen, Vincent
- Date: 2019
- Type: Text , Journal article
- Relation: Chemical Engineering Science Vol. 209, no. (2019), p. 1-7
- Full Text:
- Reviewed:
- Description: In this study, a novel biorefinery concept producing carbon fibre-poly(butylene succinate) composite foam (CPC foam) from lignocellulose and CO 2 is modelled. The biodegradable nature of poly(butylene succinate) would allow for easy carbon fibre recovery from the CPC foam for reuse at the end of product lifecycle, thus allowing for a circular materials flow. Technical simulation results show the biorefinery consumes 417 kg of biomass, 33 kg of CO 2 , 86 kg of methanol, 23 kg of acetic anhydride, 130 kWh of electricity and 1166 kW of heat per hour. The facility generates 72 kg of CPC foam, 82 kg of carbon fibre, 24 kg of tetrahydrofuran and 50 kg of dimethyl ether (DME). DME is used to fulfil parasitic electricity requirement. These results demonstrate the technical viability of this biorefinery although, research is needed to reduce parasitic energy demand. This carbon negative biorefinery avoids carcinogens and halogens for polymeric materials synthesis by utilising green chemistry principles and lignocellulose feedstock.
- Authors: Ghayur, Adeel , Verheyen, Vincent
- Date: 2019
- Type: Text , Journal article
- Relation: Chemical Engineering Science Vol. 209, no. (2019), p. 1-7
- Full Text:
- Reviewed:
- Description: In this study, a novel biorefinery concept producing carbon fibre-poly(butylene succinate) composite foam (CPC foam) from lignocellulose and CO 2 is modelled. The biodegradable nature of poly(butylene succinate) would allow for easy carbon fibre recovery from the CPC foam for reuse at the end of product lifecycle, thus allowing for a circular materials flow. Technical simulation results show the biorefinery consumes 417 kg of biomass, 33 kg of CO 2 , 86 kg of methanol, 23 kg of acetic anhydride, 130 kWh of electricity and 1166 kW of heat per hour. The facility generates 72 kg of CPC foam, 82 kg of carbon fibre, 24 kg of tetrahydrofuran and 50 kg of dimethyl ether (DME). DME is used to fulfil parasitic electricity requirement. These results demonstrate the technical viability of this biorefinery although, research is needed to reduce parasitic energy demand. This carbon negative biorefinery avoids carcinogens and halogens for polymeric materials synthesis by utilising green chemistry principles and lignocellulose feedstock.
Development of pedotransfer functions by machine learning for prediction of soil electrical conductivity and organic carbon content
- Benke, Kurt, Norng, Sorn, Robinson, Nathan, Chia, K., Rees, David, Hopley, J.
- Authors: Benke, Kurt , Norng, Sorn , Robinson, Nathan , Chia, K. , Rees, David , Hopley, J.
- Date: 2020
- Type: Text , Journal article
- Relation: Geoderma Vol. 366, no. (2020), p.
- Full Text:
- Reviewed:
- Description: The pedotransfer function is a mathematical model used to convert direct soil measurements into known and unknown soil properties. It provides information for modelling and simulation in soil research, hydrology, environmental science and climate change impacts, including investigating the carbon cycle and the exchange of carbon between soils and the atmosphere to support carbon farming. In particular, the pedotransfer function can provide input parameters for landscape design, soil quality assessment and economic optimisation. The objective of the study was to investigate the feasibility of using a generalised pedotransfer function derived with a machine learning method to predict soil electrical conductivity (EC) and soil organic carbon content (OC) for different regional locations in the state of Victoria, Australia. This strategy supports a unified approach to the interpolation and population of a single regional soils database, in contrast to a range of pedotransfer functions derived from local databases with measurement sets that may have limited transferability. The pedotransfer function generation was based on a machine learning algorithm incorporating the Generalized Linear Mixed Model with interactions and nested terms, with Residual Maximum Likelihood estimation, and a predictor-frequency ranking system with step-wise reduction of predictors to evaluate the predictive errors in reduced models. The source of the data was the Victorian Soil Information System (VSIS), which is a database administered for soil information and mapping purposes. The database contains soil measurements and information from locations across Victoria and is a repository of historical data, including monitoring studies. In total, data from 93 projects were available for inputs to modelling and analysis, with 5158 samples used to derive predictors for EC and 1954 samples used to derive predictors for OC. Over 500 models were tested by systematically reducing the number of predictors from the full model. Five-fold cross-validation was used for estimation of model mean-squared prediction error (MSPE) and mean-absolute percentage error (MAPE). The results were statistically significant with only a gradual reduction in error for the top-ranked 50 models. The prediction errors (MSPE and MAPE) of the top ranked model for EC are 0.686 and 0.635, and 0.413 and 0.474 for OC respectively. The four most frequently occurring predictors both for EC and OC prediction across the full set of models were found to be soil depth, pH, particle size distribution and geomorphological mapping unit. The possible advantages and disadvantages of this approach were discussed with respect to other machine learning approaches. © 2020 Elsevier B.V.
- Authors: Benke, Kurt , Norng, Sorn , Robinson, Nathan , Chia, K. , Rees, David , Hopley, J.
- Date: 2020
- Type: Text , Journal article
- Relation: Geoderma Vol. 366, no. (2020), p.
- Full Text:
- Reviewed:
- Description: The pedotransfer function is a mathematical model used to convert direct soil measurements into known and unknown soil properties. It provides information for modelling and simulation in soil research, hydrology, environmental science and climate change impacts, including investigating the carbon cycle and the exchange of carbon between soils and the atmosphere to support carbon farming. In particular, the pedotransfer function can provide input parameters for landscape design, soil quality assessment and economic optimisation. The objective of the study was to investigate the feasibility of using a generalised pedotransfer function derived with a machine learning method to predict soil electrical conductivity (EC) and soil organic carbon content (OC) for different regional locations in the state of Victoria, Australia. This strategy supports a unified approach to the interpolation and population of a single regional soils database, in contrast to a range of pedotransfer functions derived from local databases with measurement sets that may have limited transferability. The pedotransfer function generation was based on a machine learning algorithm incorporating the Generalized Linear Mixed Model with interactions and nested terms, with Residual Maximum Likelihood estimation, and a predictor-frequency ranking system with step-wise reduction of predictors to evaluate the predictive errors in reduced models. The source of the data was the Victorian Soil Information System (VSIS), which is a database administered for soil information and mapping purposes. The database contains soil measurements and information from locations across Victoria and is a repository of historical data, including monitoring studies. In total, data from 93 projects were available for inputs to modelling and analysis, with 5158 samples used to derive predictors for EC and 1954 samples used to derive predictors for OC. Over 500 models were tested by systematically reducing the number of predictors from the full model. Five-fold cross-validation was used for estimation of model mean-squared prediction error (MSPE) and mean-absolute percentage error (MAPE). The results were statistically significant with only a gradual reduction in error for the top-ranked 50 models. The prediction errors (MSPE and MAPE) of the top ranked model for EC are 0.686 and 0.635, and 0.413 and 0.474 for OC respectively. The four most frequently occurring predictors both for EC and OC prediction across the full set of models were found to be soil depth, pH, particle size distribution and geomorphological mapping unit. The possible advantages and disadvantages of this approach were discussed with respect to other machine learning approaches. © 2020 Elsevier B.V.
Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques
- Liao, Xiufeng, Khandelwal, Manoj, Yang, Haiqing, Koopialipoor, Mohammadreza, Murlidhar, Bhatawdekar
- Authors: Liao, Xiufeng , Khandelwal, Manoj , Yang, Haiqing , Koopialipoor, Mohammadreza , Murlidhar, Bhatawdekar
- Date: 2020
- Type: Text , Journal article
- Relation: Engineering with Computers Vol. 36, no. 2 (Apr 2020), p. 499-510
- Full Text:
- Reviewed:
- Description: One of the important factors during drilling times is the rate of penetration (ROP), which is controlled based on different variables. Factors affecting different drillings are of paramount importance. In the current research, an attempt was made to better recognize drilling parameters and optimize them based on an optimization algorithm. For this purpose, 618 data sets, including RPM, flushing media, and compressive strength parameters, were measured and collected. After an initial investigation, the compressive strength feature of samples, which is an important parameter from the rocks, was used as a proper criterion for classification. Then using intelligent systems, three different levels of the rock strength and all data were modeled. The results showed that systems which were classified based on compressive strength showed a better performance for ROP assessment due to the proximity of features. Therefore, these three levels were used for classification. A new artificial bee colony algorithm was used to solve this problem. Optimizations were applied to the selected models under different optimization conditions, and optimal states were determined. As determining drilling machine parameters is important, these parameters were determined based on optimal conditions. The obtained results showed that this intelligent system can well improve drilling conditions and increase the ROP value for three strength levels of the rocks. This modeling system can be used in different drilling operations.
- Authors: Liao, Xiufeng , Khandelwal, Manoj , Yang, Haiqing , Koopialipoor, Mohammadreza , Murlidhar, Bhatawdekar
- Date: 2020
- Type: Text , Journal article
- Relation: Engineering with Computers Vol. 36, no. 2 (Apr 2020), p. 499-510
- Full Text:
- Reviewed:
- Description: One of the important factors during drilling times is the rate of penetration (ROP), which is controlled based on different variables. Factors affecting different drillings are of paramount importance. In the current research, an attempt was made to better recognize drilling parameters and optimize them based on an optimization algorithm. For this purpose, 618 data sets, including RPM, flushing media, and compressive strength parameters, were measured and collected. After an initial investigation, the compressive strength feature of samples, which is an important parameter from the rocks, was used as a proper criterion for classification. Then using intelligent systems, three different levels of the rock strength and all data were modeled. The results showed that systems which were classified based on compressive strength showed a better performance for ROP assessment due to the proximity of features. Therefore, these three levels were used for classification. A new artificial bee colony algorithm was used to solve this problem. Optimizations were applied to the selected models under different optimization conditions, and optimal states were determined. As determining drilling machine parameters is important, these parameters were determined based on optimal conditions. The obtained results showed that this intelligent system can well improve drilling conditions and increase the ROP value for three strength levels of the rocks. This modeling system can be used in different drilling operations.
Representation of plot‐scale soil heterogeneity in dual‐domain effective flow and transport models with mass exchange
- Filipović, Vilim, Coquet, Yves, Gerke, Horst
- Authors: Filipović, Vilim , Coquet, Yves , Gerke, Horst
- Date: 2019
- Type: Text , Journal article
- Relation: Vadose zone journal Vol. 18, no. 1 (2019), p. 1-14
- Full Text:
- Reviewed:
- Description: Core Ideas The heterogeneity of soil hydraulic properties can be described with effective parameters. Increasing model complexity can be used to represent plot‐scale soil heterogeneity. One‐dimensional dual‐domain flow models are used to reproduce 2D preferential transport. Local subscale variability effects are included as mass transfer in an effective model. Agricultural soils are characterized by a structure that is strongly dependent on farming practices like tillage and trafficking. These practices can create compacted zones in the soil, thus initiating preferential flow. Two‐ or three‐dimensional models can be used to account for the spatial variability of the soil hydraulic and transport properties. Since it is challenging to obtain such data, it is logical to find simpler approaches. Our objective was to design a one‐dimensional (1D) modeling approach that effectively accounts for plot‐scale soil structure variability. A 1D dual‐permeability model was tested in which compacted soil was represented by a matrix domain and uncompacted soil by a fracture domain and eventually by assuming an additional immobile water region (MIM) in the fracture domain representing compacted clods embedded within the uncompacted soil. Models (1D) were compared with two‐dimensional single‐porosity (2D_SP) modeling results for water flow and Br− transport based on a previously performed field tracer experiment. Results indicated good agreement between 1D dual‐domain approaches (1D_DPERM and 1D_DPERM_MIM) and the 2D_SP representative model simulation results with high model efficiency and with respect to the field observations. This implied that a 1D vertical model description was sufficient to represent plot‐scale variability if smaller scale soil structure heterogeneities could be accounted for as effective parameters in dual‐domain models. Variation in the mass transfer term had a large effect on the vertical Br− profile distribution. The parameters describing the sizes and shapes of the domains were most relevant for estimating mass transfer between soil structural features in heterogeneous agricultural fields. Still, the calibration of the upscaling approach of two‐domain interactions in larger scale models remains challenging.
- Authors: Filipović, Vilim , Coquet, Yves , Gerke, Horst
- Date: 2019
- Type: Text , Journal article
- Relation: Vadose zone journal Vol. 18, no. 1 (2019), p. 1-14
- Full Text:
- Reviewed:
- Description: Core Ideas The heterogeneity of soil hydraulic properties can be described with effective parameters. Increasing model complexity can be used to represent plot‐scale soil heterogeneity. One‐dimensional dual‐domain flow models are used to reproduce 2D preferential transport. Local subscale variability effects are included as mass transfer in an effective model. Agricultural soils are characterized by a structure that is strongly dependent on farming practices like tillage and trafficking. These practices can create compacted zones in the soil, thus initiating preferential flow. Two‐ or three‐dimensional models can be used to account for the spatial variability of the soil hydraulic and transport properties. Since it is challenging to obtain such data, it is logical to find simpler approaches. Our objective was to design a one‐dimensional (1D) modeling approach that effectively accounts for plot‐scale soil structure variability. A 1D dual‐permeability model was tested in which compacted soil was represented by a matrix domain and uncompacted soil by a fracture domain and eventually by assuming an additional immobile water region (MIM) in the fracture domain representing compacted clods embedded within the uncompacted soil. Models (1D) were compared with two‐dimensional single‐porosity (2D_SP) modeling results for water flow and Br− transport based on a previously performed field tracer experiment. Results indicated good agreement between 1D dual‐domain approaches (1D_DPERM and 1D_DPERM_MIM) and the 2D_SP representative model simulation results with high model efficiency and with respect to the field observations. This implied that a 1D vertical model description was sufficient to represent plot‐scale variability if smaller scale soil structure heterogeneities could be accounted for as effective parameters in dual‐domain models. Variation in the mass transfer term had a large effect on the vertical Br− profile distribution. The parameters describing the sizes and shapes of the domains were most relevant for estimating mass transfer between soil structural features in heterogeneous agricultural fields. Still, the calibration of the upscaling approach of two‐domain interactions in larger scale models remains challenging.
Patient safety elements taught to preregistration nurses using simulation designs : an integrative review
- Ryan, Colleen, Kurup, Chanchal, Cant, Robyn, Reid-Searl, Kerry, Johnson, Trish, Barlow, Melanie, Heaton, Leeanne
- Authors: Ryan, Colleen , Kurup, Chanchal , Cant, Robyn , Reid-Searl, Kerry , Johnson, Trish , Barlow, Melanie , Heaton, Leeanne
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Clinical Simulation in Nursing Vol. 84, no. (2023), p.
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- Description: This integrative literature review aimed to examine preregistration nursing simulation-based education aligned to patient safety. Understanding quality standards and simulation best practices used to guide the simulation activities also featured. Eight data bases were searched using a standardized search strategy. A total of 33 studies met the inclusion criteria. Six patient safety standards featured in over 38 simulation scenarios, particularly the management of deteriorating patients. Students’ patient safety knowledge and simulated performances consistently returned significant gains following the interventions. Manikin-based, face to face delivery was the most commonly described simulation modality, followed by virtual simulation and virtual reality programmes. The evidence supports simulation as a beneficial technique for teaching patient safety in nursing education. In future, well planned controlled experimental studies are needed to deliver more evidence. Simulation design best practices aligned to international guidelines could be reported in more depth. © 2023
- Authors: Ryan, Colleen , Kurup, Chanchal , Cant, Robyn , Reid-Searl, Kerry , Johnson, Trish , Barlow, Melanie , Heaton, Leeanne
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Clinical Simulation in Nursing Vol. 84, no. (2023), p.
- Full Text:
- Reviewed:
- Description: This integrative literature review aimed to examine preregistration nursing simulation-based education aligned to patient safety. Understanding quality standards and simulation best practices used to guide the simulation activities also featured. Eight data bases were searched using a standardized search strategy. A total of 33 studies met the inclusion criteria. Six patient safety standards featured in over 38 simulation scenarios, particularly the management of deteriorating patients. Students’ patient safety knowledge and simulated performances consistently returned significant gains following the interventions. Manikin-based, face to face delivery was the most commonly described simulation modality, followed by virtual simulation and virtual reality programmes. The evidence supports simulation as a beneficial technique for teaching patient safety in nursing education. In future, well planned controlled experimental studies are needed to deliver more evidence. Simulation design best practices aligned to international guidelines could be reported in more depth. © 2023
A qualitative study on undergraduate student nurses’ experience of mental health simulation preclinical placement
- Olasoji, Michael, Garvey, Loretta, Sadoughi, Navideh, Willetts, Georgina
- Authors: Olasoji, Michael , Garvey, Loretta , Sadoughi, Navideh , Willetts, Georgina
- Date: 2023
- Type: Text , Journal article
- Relation: Clinical Simulation in Nursing Vol. 84, no. (2023), p.
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- Reviewed:
- Description: Background: Simulations allow students to be challenged and supported while gaining both technical and non-technical skills within a clinical learning environment. Working in a mental health setting can be quite challenging and confronting at times for undergraduate nursing students in clinical placement. The study aims to explore nursing students’ perceptions of a mental health simulation workshop's impact before clinical placement, which provides a supportive environment to gain technical and non-technical skills while being challenged and supported. Sample: Participants were a second-year cohort (n = 89) of undergraduate nursing students enrolled in a mental health unit. Methods: Descriptive survey design. The researchers thematically analysed narrative responses of a pre- and post-simulation survey from an immersive simulation using a descriptive survey design. Results: The researchers identified six key themes: two from the pre-simulation survey – communication with and assessment of mental health patients, and the opportunity for placement preparation; and four from the post-simulation survey – the opportunity for debriefing, the realism of the simulation, increased confidence levels, and the perception of a safe learning environment. Conclusion: Effective skill acquisition is essential to advance recruitment and retention into mental health environments. The use of mental health simulation that comprises of realism and immersion working with simulated patients provided opportunity to advance this. © 2023
- Authors: Olasoji, Michael , Garvey, Loretta , Sadoughi, Navideh , Willetts, Georgina
- Date: 2023
- Type: Text , Journal article
- Relation: Clinical Simulation in Nursing Vol. 84, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Simulations allow students to be challenged and supported while gaining both technical and non-technical skills within a clinical learning environment. Working in a mental health setting can be quite challenging and confronting at times for undergraduate nursing students in clinical placement. The study aims to explore nursing students’ perceptions of a mental health simulation workshop's impact before clinical placement, which provides a supportive environment to gain technical and non-technical skills while being challenged and supported. Sample: Participants were a second-year cohort (n = 89) of undergraduate nursing students enrolled in a mental health unit. Methods: Descriptive survey design. The researchers thematically analysed narrative responses of a pre- and post-simulation survey from an immersive simulation using a descriptive survey design. Results: The researchers identified six key themes: two from the pre-simulation survey – communication with and assessment of mental health patients, and the opportunity for placement preparation; and four from the post-simulation survey – the opportunity for debriefing, the realism of the simulation, increased confidence levels, and the perception of a safe learning environment. Conclusion: Effective skill acquisition is essential to advance recruitment and retention into mental health environments. The use of mental health simulation that comprises of realism and immersion working with simulated patients provided opportunity to advance this. © 2023
Options for net zero emissions hydrogen from Victorian lignite. Part 1 : Gaseous and liquefied hydrogen
- Kibria, M., McManus, David, Bhattacharya, Sankar
- Authors: Kibria, M. , McManus, David , Bhattacharya, Sankar
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Hydrogen Energy Vol. 48, no. 78 (2023), p. 30339-30353
- Full Text:
- Reviewed:
- Description: This two-part paper investigates the feasibility of producing export quantities (770 t/d) of blue hydrogen meeting international standards, by gasification of Victorian lignite plus carbon capture and storage (CCS). The study involves a detailed Aspen Plus simulation analysis of the entire production process, taking into account fugitive methane emissions during lignite mining. Part 1 focusses on the resources, energy requirements and greenhouse gas emissions associated with production of gaseous and liquefied hydrogen, while Part 2 focusses on production of ammonia as a hydrogen carrier. In this study, the proposed process comprises lignite mining, lignite drying and milling, air separation unit (ASU), dry-feed entrained flow gasification, gas cooling and cleaning, sour water-gas shift reaction, acid gas removal, pressure swing adsorption (PSA) for hydrogen purification, elemental sulphur recovery, CO2 compression for transport and injection, hydrogen liquefaction, steam and gas turbines to generate all process power, plus an optional post-combustion CO2 capture step. High grade waste heat is utilised for process heat and power generation. Three alternative process scenarios are investigated as options to reduce resource utilisation and greenhouse gas emissions: replacing the gas turbine with renewable energy from off-site wind turbines, and co-gasification of lignite with either biomass or biochar. In each case, the specific net greenhouse gas intensity is estimated and compared to the EU Taxonomy specification for sustainable hydrogen. This is the first time that a coal-to-hydrogen study has quantified the greenhouse gas emissions across the entire production chain, including upstream fugitive methane emissions. It is found that both gaseous and liquefied hydrogen can be produced from Victorian lignite, along with all necessary electricity, with specific emissions intensity (SEI) of 2.70 kg CO2-e/kg H2 and 2.73 kg CO2-e/kg H2, respectively. These values conform to the EU Taxonomy limit of 3.0 kg CO2-e/kg H2. This result is achieved using a Selexol™ plant for CO2 capture, operating at 89.5%–91.7% overall capture efficiency. Importantly, the very low fugitive methane emissions associated with Victorian lignite mining is crucial to the low SEI of the process, making this is a critical advantage over the alternative natural gas or black coal processes. This study shows that there are technical options available to further reduce the SEI to meet tightening emissions targets. An additional post-combustion MDEA CO2 capture unit can be added to increase the capture efficiency to 99.0%–99.2% and reduce the SEI to 0.3 kg CO2-e/kg H2. Emissions intensity can be further reduced by utilising renewable energy rather than co-production of electricity on site. Net zero emissions can then be achieved by co-gasification with
- Authors: Kibria, M. , McManus, David , Bhattacharya, Sankar
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Hydrogen Energy Vol. 48, no. 78 (2023), p. 30339-30353
- Full Text:
- Reviewed:
- Description: This two-part paper investigates the feasibility of producing export quantities (770 t/d) of blue hydrogen meeting international standards, by gasification of Victorian lignite plus carbon capture and storage (CCS). The study involves a detailed Aspen Plus simulation analysis of the entire production process, taking into account fugitive methane emissions during lignite mining. Part 1 focusses on the resources, energy requirements and greenhouse gas emissions associated with production of gaseous and liquefied hydrogen, while Part 2 focusses on production of ammonia as a hydrogen carrier. In this study, the proposed process comprises lignite mining, lignite drying and milling, air separation unit (ASU), dry-feed entrained flow gasification, gas cooling and cleaning, sour water-gas shift reaction, acid gas removal, pressure swing adsorption (PSA) for hydrogen purification, elemental sulphur recovery, CO2 compression for transport and injection, hydrogen liquefaction, steam and gas turbines to generate all process power, plus an optional post-combustion CO2 capture step. High grade waste heat is utilised for process heat and power generation. Three alternative process scenarios are investigated as options to reduce resource utilisation and greenhouse gas emissions: replacing the gas turbine with renewable energy from off-site wind turbines, and co-gasification of lignite with either biomass or biochar. In each case, the specific net greenhouse gas intensity is estimated and compared to the EU Taxonomy specification for sustainable hydrogen. This is the first time that a coal-to-hydrogen study has quantified the greenhouse gas emissions across the entire production chain, including upstream fugitive methane emissions. It is found that both gaseous and liquefied hydrogen can be produced from Victorian lignite, along with all necessary electricity, with specific emissions intensity (SEI) of 2.70 kg CO2-e/kg H2 and 2.73 kg CO2-e/kg H2, respectively. These values conform to the EU Taxonomy limit of 3.0 kg CO2-e/kg H2. This result is achieved using a Selexol™ plant for CO2 capture, operating at 89.5%–91.7% overall capture efficiency. Importantly, the very low fugitive methane emissions associated with Victorian lignite mining is crucial to the low SEI of the process, making this is a critical advantage over the alternative natural gas or black coal processes. This study shows that there are technical options available to further reduce the SEI to meet tightening emissions targets. An additional post-combustion MDEA CO2 capture unit can be added to increase the capture efficiency to 99.0%–99.2% and reduce the SEI to 0.3 kg CO2-e/kg H2. Emissions intensity can be further reduced by utilising renewable energy rather than co-production of electricity on site. Net zero emissions can then be achieved by co-gasification with
IoT-based emergency vehicle services in intelligent transportation system
- Chowdhury, Abdullahi, Kaisar, Shahriar, Khoda, Mahbub, Naha, Ranesh, Khoshkholghi, Mohammad, Aiash, Mahdi
- Authors: Chowdhury, Abdullahi , Kaisar, Shahriar , Khoda, Mahbub , Naha, Ranesh , Khoshkholghi, Mohammad , Aiash, Mahdi
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 11 (2023), p. 5324
- Full Text:
- Reviewed:
- Description: Emergency Management System (EMS) is an important component of Intelligent transportation systems, and its primary objective is to send Emergency Vehicles (EVs) to the location of a reported incident. However, the increasing traffic in urban areas, especially during peak hours, results in the delayed arrival of EVs in many cases, which ultimately leads to higher fatality rates, increased property damage, and higher road congestion. Existing literature addressed this issue by giving higher priority to EVs while traveling to an incident place by changing traffic signals (e.g., making the signals green) on their travel path. A few works have also attempted to find the best route for an EV using traffic information (e.g., number of vehicles, flow rate, and clearance time) at the beginning of the journey. However, these works did not consider congestion or disruption faced by other non-emergency vehicles adjacent to the EV travel path. The selected travel paths are also static and do not consider changing traffic parameters while EVs are en route. To address these issues, this article proposes an Unmanned Aerial Vehicle (UAV) guided priority-based incident management system to assist EVs in obtaining a better clearance time in intersections and thus achieve a lower response time. The proposed model also considers disruption faced by other surrounding non-emergency vehicles adjacent to the EVs' travel path and selects an optimal solution by controlling the traffic signal phase time to ensure that EVs can reach the incident place on time while causing minimal disruption to other on-road vehicles. Simulation results indicate that the proposed model achieves an 8% lower response time for EVs while the clearance time surrounding the incident place is improved by 12%.
- Authors: Chowdhury, Abdullahi , Kaisar, Shahriar , Khoda, Mahbub , Naha, Ranesh , Khoshkholghi, Mohammad , Aiash, Mahdi
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 11 (2023), p. 5324
- Full Text:
- Reviewed:
- Description: Emergency Management System (EMS) is an important component of Intelligent transportation systems, and its primary objective is to send Emergency Vehicles (EVs) to the location of a reported incident. However, the increasing traffic in urban areas, especially during peak hours, results in the delayed arrival of EVs in many cases, which ultimately leads to higher fatality rates, increased property damage, and higher road congestion. Existing literature addressed this issue by giving higher priority to EVs while traveling to an incident place by changing traffic signals (e.g., making the signals green) on their travel path. A few works have also attempted to find the best route for an EV using traffic information (e.g., number of vehicles, flow rate, and clearance time) at the beginning of the journey. However, these works did not consider congestion or disruption faced by other non-emergency vehicles adjacent to the EV travel path. The selected travel paths are also static and do not consider changing traffic parameters while EVs are en route. To address these issues, this article proposes an Unmanned Aerial Vehicle (UAV) guided priority-based incident management system to assist EVs in obtaining a better clearance time in intersections and thus achieve a lower response time. The proposed model also considers disruption faced by other surrounding non-emergency vehicles adjacent to the EVs' travel path and selects an optimal solution by controlling the traffic signal phase time to ensure that EVs can reach the incident place on time while causing minimal disruption to other on-road vehicles. Simulation results indicate that the proposed model achieves an 8% lower response time for EVs while the clearance time surrounding the incident place is improved by 12%.
The use of an interactive social simulation tool for adults who stutter : a pilot study
- Meredith, Grant, Achterbosch, Leigh, Peck, Blake, Terry, Daniel, Dekker, Evan, Packman, Ann
- Authors: Meredith, Grant , Achterbosch, Leigh , Peck, Blake , Terry, Daniel , Dekker, Evan , Packman, Ann
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Investigation in Health, Psychology and Education Vol. 13, no. 1 (2023), p. 187-198
- Full Text:
- Reviewed:
- Description: This study reports a user evaluation of a DVD-based social simulator, developed for people who stutter to potentially gain confidence in using a learned fluency technique. The aim was to examine and evaluate the pilot of the DVD-based social simulator, Scenari-Aid, to inform the development of an online version of the program. Thirty-seven adults who were stuttering were recruited to the study from non-professional groups in Australia. The DVD comprised scenarios with actors in real-life settings that were designed to elicit verbal responses. Participants worked through the scenarios at their own rate and then completed an online survey. The survey comprised 29 statements requiring responses on a 5-point Likert scale and provided information about users’ perceptions of participating in the social simulations. There was high positive agreement among the participants on all statements, the most important being that they perceived the scenarios represented in everyday speaking situations and that they felt immersed in them. Participants also agreed that both their fluency and confidence increased in everyday speaking situations as a result of working through the DVD scenarios. The developers were satisfied that, despite the subjective nature of the findings, the study provided sufficient support for constructing the online version, which is now available to the public free of charge. Further research is needed to provide empirical evidence of the contribution it can make to the efficacy of speech programs for adults who stutter. © 2023 by the authors.
- Authors: Meredith, Grant , Achterbosch, Leigh , Peck, Blake , Terry, Daniel , Dekker, Evan , Packman, Ann
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Investigation in Health, Psychology and Education Vol. 13, no. 1 (2023), p. 187-198
- Full Text:
- Reviewed:
- Description: This study reports a user evaluation of a DVD-based social simulator, developed for people who stutter to potentially gain confidence in using a learned fluency technique. The aim was to examine and evaluate the pilot of the DVD-based social simulator, Scenari-Aid, to inform the development of an online version of the program. Thirty-seven adults who were stuttering were recruited to the study from non-professional groups in Australia. The DVD comprised scenarios with actors in real-life settings that were designed to elicit verbal responses. Participants worked through the scenarios at their own rate and then completed an online survey. The survey comprised 29 statements requiring responses on a 5-point Likert scale and provided information about users’ perceptions of participating in the social simulations. There was high positive agreement among the participants on all statements, the most important being that they perceived the scenarios represented in everyday speaking situations and that they felt immersed in them. Participants also agreed that both their fluency and confidence increased in everyday speaking situations as a result of working through the DVD scenarios. The developers were satisfied that, despite the subjective nature of the findings, the study provided sufficient support for constructing the online version, which is now available to the public free of charge. Further research is needed to provide empirical evidence of the contribution it can make to the efficacy of speech programs for adults who stutter. © 2023 by the authors.
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