Teaching systems thinking to general education 1 1‘General education’ is a term applied to curricula that may be required of first-year college students in which they are required to take courses in liberal arts and a variety of sciences and math to ensure that the students enter a major field of study with more broadly applicable thinking and communication skills. See Wikipedia: https://en.wikipedia.org/wiki/Curriculum#United_States_2 for background. Accessed 12/18/2017. students

Mobus, George E.

doi:10.1016/j.ecolmodel.2018.01.013

Cited by 32 publications

(19 citation statements)

References 6 publications

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“…In this study, the sample size was sufficient to apply EFA, and the results are expected to have significant implications for interpreting the study's findings. Multivariate analysis of variance (MANOVA): The MANOVA procedure compares the means of multiple variables using a multivariate method for two or more dependent variables. However, MANOVA necessitates specific assumptions, including normal distribution, interval/proportional data, equal group variances and consistent correlations among dependent variables (Anonymous, 2022). This research employed MANOVA to investigate socio-demographic variables' effects on ULQ factors.…”

Section: Methodsmentioning

confidence: 99%

Urban residents' attitudes towards the impact of public spaces on urban life quality: the case of Adana

ÇİLEK

Altunkasa

Uslu

2023

OHI

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PurposePublic spaces, which offer opportunities for social, cultural and recreational activities, enhance urban life quality (ULQ). Thus, this study aims to investigate the impact of public spaces and physical-environmental criteria affecting the usability of ULQ in Adana city, Turkey.Design/methodology/approachThe study method consists of three stages. Firstly, public spaces and physical-environmental criteria that can be effective in ULQ were determined. Secondly, the effect of the determining criteria on ULQ was evaluated through a 5-point Likert scale questionnaire (1 = very negative, 5 = very positive). The survey was conducted with 601 people in the four central districts of Adana, including Çukurova, Seyhan, Sariçam and Yüregir. Participants evaluated ULQ for both the residence district and Adana city. Lastly, factors affecting ULQ were determined using exploratory factor analysis (EFA). In addition, MANOVA was used to determine the changes in factors according to socio-demographic characteristics.FindingsBased on the EFA, the results show that the criteria affecting the ULQ are grouped into four factors, including (1) open spaces, (2) cultural, sports and recreation, (3) environmental and (4) transportation. In evaluating these factors, while gender does not affect the perception of ULQ, residence districts show a statistically significant difference in the perception of ULQ. Cultural and transportation factors show statistical differences according to education and age.Research limitations/implicationsThis study has a limitation in that it relies solely on the quantitative perceptions of residents with varying demographics, such as age, gender and educational level, to evaluate public spaces and physical environment criteria. While these perspectives are valuable, they may not necessarily reflect the qualitative reality of the urban environment. Therefore, future studies combining quantitative and qualitative data could provide a more comprehensive understanding of the factors affecting ULQ in urban areas.Social implicationsThe implementation of the survey showed the subjective perception of ULQ in Adana city. Urban green spaces, including cultural, sports and recreational areas, should be improved in areas with insufficient facilities that affect the quality of urban life. Additionally, the impact of climate conditions on the quality of life should be taken into account when designing the city to ensure maximum utilization of public spaces. Furthermore, safe cycling transportation networks should be developed.Originality/valueThe novelty of this study lies in its unique approach to investigating the effects of public spaces and physical environmental criteria on ULQ based on combining residents' perceptions, literature review and data analysis. The study provides a valuable perspective often overlooked in urban planning research, especially in developing countries like Turkey. Additionally, the study's findings can inform the development of strategies to enhance ULQ.

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Section: Methodsmentioning

confidence: 99%

Urban residents' attitudes towards the impact of public spaces on urban life quality: the case of Adana

ÇİLEK

Altunkasa

Uslu

2023

OHI

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“…As the performance of the radar has been enhanced, more and more functions such as road course estimation, classification and localization from the existing simple obstacle detection and tracking-oriented functions have been developed. Radar-based point cloud images are a set of data points in space and accumulate radar detection points with X, Y and Z coordinates from temporal and spatial perspectives [6,[22][23][24][25][26]. Points of the image adopt the GNSS localization sensor to enhance the accuracy for both temporal and spatial domains.…”

Section: Point Cloud Imagementioning

confidence: 99%

Implementation of MIMO Radar-Based Point Cloud Images for Environmental Recognition of Unmanned Vehicles and Its Application

Kim,

Khang,

Choi

et al. 2024

Remote Sensing

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High-performance radar systems are becoming increasingly popular for accurately detecting obstacles in front of unmanned vehicles in fog, snow, rain, night and other scenarios. The use of these systems is gradually expanding, such as indicating empty space and environment detection rather than just detecting and tracking the moving targets. In this paper, based on our high-resolution radar system, a three-dimensional point cloud image algorithm is developed and implemented. An axis translation and compensation algorithm is applied to minimize the point spreading caused by the different mounting positions and the alignment error of the Global Navigation Satellite System (GNSS) and radar. After applying the algorithm, a point cloud image for a corner reflector target and a parked vehicle is created to directly compare the improved results. A recently developed radar system is mounted on the vehicle and it collects data through actual road driving. Based on this, a three-dimensional point cloud image including an axis translation and compensation algorithm is created. As a results, not only the curbstones of the road but also street trees and walls are well represented. In addition, this point cloud image is made to overlap and align with an open source web browser (QtWeb)-based navigation map image to implement the imaging algorithm and thus determine the location of the vehicle. This application algorithm can be very useful for positioning unmanned vehicles in urban area where GNSS signals cannot be received due to a large number of buildings. Furthermore, sensor fusion, in which a three-dimensional point cloud radar image appears on the camera image, is also implemented. The position alignment of the sensors is realized through intrinsic and extrinsic parameter optimization. This high-performance radar application algorithm is expected to work well for unmanned ground or aerial vehicle route planning and avoidance maneuvers in emergencies regardless of weather conditions, as it can obtain detailed information on space and obstacles not only in the front but also around them.

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“…Sometimes that also includes reducing the variations of the inputs. 18 Another tool is called response surface methodology. This is a statistical approach, often using the design of experiments methodology, to find the relationship between certain variables.…”

Section: Verifymentioning

confidence: 99%

Quality and Safety in Healthcare, Part XCIII

Harolds¹

2022

Clin Nucl Med

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Cited by 32 publications

References 6 publications

Urban residents' attitudes towards the impact of public spaces on urban life quality: the case of Adana

Urban residents' attitudes towards the impact of public spaces on urban life quality: the case of Adana

Implementation of MIMO Radar-Based Point Cloud Images for Environmental Recognition of Unmanned Vehicles and Its Application

Quality and Safety in Healthcare, Part XCIII

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