CFD Study of Large City Fires in Windy Conditions Relevant to Aerial Firefighting

2016 ◽  
pp. 761-770
Author(s):  
Koyu Satoh ◽  
Naian Liu ◽  
Xiaodong Xie ◽  
Wei Gao
Keyword(s):  
Large City

Spatial modeling of air pollution based on data streams from geosensor networks

2018 ◽  
Vol 930 (12) ◽  
pp. 39-43 ◽  
Author(s):  
V.P. Savinikh ◽  
A.A. Maiorov ◽  
A.V. Materuhin
Keyword(s):  
Air Pollution ◽  
Data Streams ◽  
Spatial Modeling ◽  
Spatial Model ◽  
Large City ◽  
Field Tests ◽  
Processing Unit ◽  
Geosensor Network ◽  
Spatio Temporal ◽  
Different Sources

The article is a brief summary of current research results of the authors in the field of spatial modeling of air pollution based on spatio-temporal data streams from geosensor networks. The urban environment is characterized by the presence of a large number of different sources of emissions and rapidly proceeding processes of contamination spread. So for the development of an adequate spatial model is required to make measurements with a large spatial and temporal resolution. It is shown that geosensor network provide researchers with the opportunity to obtain data with the necessary spatio-temporal detail. The article describes a prototype of a geosensor network to build a detailed spatial model of air pollution in a large city. To create a geosensor in the prototype of the system, calibrated gas sensors for a nitrogen dioxide and carbon monoxide concentrations measurement were interfaced to the module, which consist of processing unit and communication unit. At present, the authors of the article conduct field tests of the prototype developed.

PRIORITY DIRECTIONS OF ADVANCE OF SERVICES OF THE FITNESS CENTER IN THE MARKET OF THE LARGE CITY

2019 ◽  
Vol 2 (38) ◽  
Author(s):  
N. V. Usova ◽  
◽  
Y. G. Gergelezhiu ◽  
Keyword(s):  
Large City ◽  
Fitness Center

Relationship between medication adherence and psychosocial adjustment in patients with type 2 diabetes: A cross-sectional study

2020 ◽  
Vol 40 (3) ◽  
pp. 116-122
Author(s):  
Duygu Kes ◽  
Feray Gökdoğan
Keyword(s):  
Type 2 Diabetes ◽  
Psychosocial Adjustment ◽  
Large City ◽  
Psychosocial Care ◽  
Self Report ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Adherence To Medication ◽  
The Relationship

Adherence to drug treatment is a multidimensional concept. It is affected by many factors, such as physiological, psychological, family, environmental and social conditions. However, relatively little is known about the relationship between adherence to medication and psychosocial adjustment. The aim was to explore the relationship between adherence to antidiabetic drugs and the psychosocial adjustment of patients with type 2 diabetes mellitus. This cross-sectional descriptive correlational study was conducted between March and June 2018. A convenience sample of participants was recruited from seven internal disease outpatient clinics at a public tertiary hospital, located in a large city that serves as a gateway to nearby rural and urban areas in the north-west region of Turkey. Data were collected using the Adherence to Refills and Medications Scale (ARMS-7), and the Psychosocial Adjustment to Illness Scale–Self Report (PAIS–SR). This study is reported in accordance with STROBE. Pearson’s correlation analysis found a significant weak positive correlation between all domains of the PAIS–SR and the total scores on the ARMS‐7. The participants’ scores on medication refill were found to be significantly and positively correlated with all of the PAIS–SR domain scores except the sexual relationships domain. Psychosocial care could play a crucial role in improving drug regimen adherence among patients with diabetes. Therefore, nurses should integrate psychosocial care into daily practice.

scholarly journals A COVID-19 Lockdown Tabletop Exercise in New Taipei City, Taiwan

2021 ◽  
pp. 1-19
Author(s):  
I-Tien Lo ◽  
Ching-Yuan Lin ◽  
Ming-Tai Cheng
Keyword(s):  
Policy Making ◽  
Large City ◽  
Strategic Plan ◽  
Government Control ◽  
Subject Knowledge ◽  
All Solutions ◽  
Taipei City ◽  
Returning To Work ◽  
Three Stages ◽  
Stage 1

Abstract Objectives: This exercise aimed to validate New Taipei City’s strategic plan for a city lockdown in response to COVID-19. The main goal of all solutions was the principle of “reducing citizen activity and strengthening government control”. Methods: We created a suitable exercise, and creating 15 hypothetical situations for three stages. All participating units designed and proposed policy plans and execution protocols according to each situation. Results: In the course of the exercise, many existing policies and execution protocols were validated to address. Situations occurring in Stage 1, when the epidemic was spreading to the point of lockdown preparations, approaches to curb the continued spread of the epidemic in Stage 2, and returning to work after the epidemic is controlled and lockdown is lifted in Stage 3. Twenty response units participated in the exercise. Although favourable outcomes were obtained, the evaluators provided comments suggesting further improvements. Conclusions: Our exercise demonstrated a successful example to help policy making and revision in a large city over 4 million population during COVID-19 pandemic. It also enhanced participants’ subject knowledge and familiarity with the implementation of a city lockdown. For locations intending to go into lockdown, similar tabletop exercises are an effective verification option.

What do adults think of music across the lifespan?

2021 ◽  
pp. 030573562097278
Author(s):  
Giulia Ripani
Keyword(s):  
Social Representations ◽  
Demographic Data ◽  
Southeastern United States ◽  
Large City ◽  
Demographic Variables ◽  
Methodological Framework ◽  
Sociocultural Perspective ◽  
Mental Images ◽  
Analysis Technique ◽  
Musical Thinking

Using the Theory of Social Representations as theoretical and methodological framework, the purpose of this study was to analyze adults’ mental images (social representations) of music and musical selves across the lifespan. Participants ( N = 74) were chosen using purposive sampling in various sociocultural contexts in a large city in the Southeastern United States. As previous studies documented, projective techniques (drawings and linguist associations) can access the most latent dimensions of thinking. Accordingly, drawings and linguistic associations to the textual stimuli “me,” “music,” and “music and me” were used to gain insights into adults’ mental images of music and musical selves. Participants were also asked to provide socio-demographic data that might affect or correlate with their responses. The Correspondences Analysis technique was used to reconstruct representational fields associated with the stimuli. For each stimulus, a five-factor extraction identified hidden dimensions in adult musical thinking and summarized the links between socio-demographic variables and adults’ responses. From a developmental perspective, the comparison of drawings and linguistic associations revealed stable and changing elements in adults’ representations of music and musical selves across the lifespan. From a sociocultural perspective, this study documented the influence of the variable ethnicity on adults’ responses.

scholarly journals A Model of Stress Change under the First COVID-19 Pandemic among the General Public in Japanese Major Cities and Rural Areas

2021 ◽  
Vol 13 (3) ◽  
pp. 1207
Author(s):  
Misato Uehara ◽  
Makoto Fujii ◽  
Kazuki Kobayashi
Keyword(s):  
Rural Areas ◽  
Healthcare Workers ◽  
Explanatory Variable ◽  
Large City ◽  
Stress Change ◽  
Multiple Factor Analysis ◽  
Explanatory Variables ◽  
Private Research ◽  
The Difference ◽  
The Relationship

Research on stress related to the COVID-19 pandemic has been dominated by the cases of healthcare workers, students, patients, and their stress during the COVID-19 pandemic. This study examined the relationship between the amount of stress change under the COVID-19 pandemic and demographic factors (age, sex, occupation, etc.) in residents of a large city and a rural area of Japan. A total of 1331 valid responses were received in June 2020 from residents of Tokyo, Osaka, and Nagano registered with a private research firm. We were able to identify 15 statistically significant variables out of 36 explanatory variables, which explained the significant increase in stress compared to the pre-pandemic period. Multiple-factor analysis showed that the relationship with people is a more significant explanatory variable for the level of increase in stress than the difference in environment between big cities (Tokyo, Osaka) and rural areas (Nagano), the type of housing, and the decrease in income compared to the pre-pandemic period.

scholarly journals iBikeSafe: A Multi-Parameter System for Monitoring, Evaluation and Visualization of Cycling Paths in Smart Cities Targeted at Cycling Adverse Conditions

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1058-1086
Author(s):  
Franklin Oliveira ◽  
Daniel G. Costa ◽  
Luciana Lima ◽  
Ivanovitch Silva
Keyword(s):  
Urban Areas ◽  
Smart Cities ◽  
Large City ◽  
Health And Safety ◽  
Parameter System ◽  
Urban Centers ◽  
Adverse Conditions ◽  
Last Mile ◽  
Real Scenario

The fast transformation of the urban centers, pushed by the impacts of climatic changes and the dramatic events of the COVID-19 Pandemic, will profoundly influence our daily mobility. This resulted scenario is expected to favor adopting cleaner and flexible modal solutions centered on bicycles and scooters, especially as last-mile options. However, as the use of bicycles has rapidly increased, cyclists have been subject to adverse conditions that may affect their health and safety when cycling in urban areas. Therefore, whereas cities should implement mechanisms to monitor and evaluate adverse conditions in cycling paths, cyclists should have some effective mechanism to visualize the indirect quality of cycling paths, eventually supporting choosing more appropriate routes. Therefore, this article proposes a comprehensive multi-parameter system based on multiple independent subsystems, covering all phases of data collecting, formatting, transmission, and processing related to the monitoring, evaluating, and visualizing the quality of cycling paths in the perspective of adverse conditions that affect cyclist. The formal interactions of all modules are carefully described, as well as implementation and deployment details. Additionally, a case study is considered for a large city in Brazil, demonstrating how the proposed system can be adopted in a real scenario.

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