Source Testing And Data Analysis for Exposure and Risk Assessment of Indoor Pollutant Sources

2009 ◽  
pp. 367-367-9
Author(s):  
LE Sparks ◽  
L Mo̸lhave ◽  
S Dueholm
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Indoor Pollutant ◽  
Pollutant Sources

scholarly journals Examination of the Risk Assessment Levels of Athletes in Different Branches According to Some Variables

2018 ◽  
Vol 6 (10) ◽  
pp. 193
Author(s):  
Abdurrahman Kirtepe
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Standard Deviation ◽  
Personal Information ◽  
Educational Status ◽  
Analysis Data ◽  
Descriptive Statistics ◽  
Income Status ◽  
Package Program ◽  
Sample Method

In this study, the risk assessment levels of athletes in different branches were examined in terms of various variables. Descriptive scanning model was used in the study. In the research, the survey was completed with a sample method of 105 people. The questionnaire was used as a data collection tool in the research. The questionnaire consists of questions about personal information and the Risk Assessment scale for athletes and coaches. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ.

scholarly journals Comparison of Three Methods of Predictive Postoperative FEV1 and DLCO Calculations in Relation to Their Observed Postoperative Values in Lung Resection

2020 ◽  
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Lung Carcinoma ◽  
Calculation Method ◽  
Lung Resection ◽  
Univariate Analysis ◽  
Lung Lobectomy ◽  
Postoperative Fev1 ◽  
Better Than

Introduction: Three ways of simple calculations (segmental based on 18 segments method, segmental based on 19 segments method and subsegmental method) of predictive postoperative values of FEV1 and DLCO are in use during the preoperative survey for patients planned for lung resection as treatment of lung carcinoma as a part of risk assessment. Hypothesis: Segmental calculation method based on 19 segments is better than subsegmental method and segmental calculation method based on 18 segments in prediction of postoperative values of both FEV1 and DLCO one month after lung lobectomy. Materials and methods: Expected postoperative calculated values of FEV1 and DLCO (two segmental and one subsegmental method) of 52 patients undergone lobectomy are related to real postoperative values for same patients one month after surgery. Results: According to univariate analysis, real values of postoperative DLCO correlate most significantly with ppoDLCO calculated by segmental method (18 segments), but real values of postoperative FEV1 correlate most significantly with ppoFEV1 calculated by 19 overall segments segmental method. Data analysis as well showed that preoperative calculated PpoFEV1 and PpoDLCO underestimate real postoperative values of FEV1 and DLCO one month after lobectomy, but it is not statistically significant. Discussion: Same as contemporary guidelines suggest, ppoFEV1 calculation by 19 segments segmental method seems to be the best choice. PpoDLCO is maybe better to calculate by 18 segments segmental method.

Causal factors and risk assessment of fall accidents in the U.S. construction industry: A comprehensive data analysis (2000–2020)

2022 ◽  
Vol 146 ◽  
pp. 105537
Author(s):  
Yahia Halabi ◽  
Hu Xu ◽  
Danbing Long ◽  
Yuhang Chen ◽  
Zhixiang Yu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Construction Industry ◽  
Causal Factors ◽  
Comprehensive Data ◽  
The U.S ◽  
Fall Accidents

scholarly journals Perception of nurses about the risk assessment of the low complexity non-referred user

2020 ◽  
Vol 42 ◽  
pp. e47205
Author(s):  
Aline Buriola ◽  
Camilla Passarela Silva ◽  
Eduardo Fuzetto Cazañas ◽  
Tayomara Ferreira Nascimento
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Low Complexity ◽  
Risk Classification ◽  
Data Organization ◽  
Healthcare Network ◽  
Nurses Perceptions ◽  
The Relationship ◽  
User Assessment

The goal of this study was to assess the perceptions and behaviors of nurses who provide triage with risk assessment to low complexity non-referred patients. The participants of the study were nurses who were performing patients’ triage with risk assessment, and the sample consisted of thirteen participants. The instruments used for the interviews were semi-structured questionnaires related to the characterization of the topic under study. Content analysis, i.e., the method proposed by Bardin, was used for data analysis. For data organization, we used MAXQDA Analytics Pro 2018, a software program that favored the identification between the similarities of the elements and ideas, thus making it possible to reach the cores of meanings. The identified categories were: (a) understanding about the healthcare provided by the emergency/urgency care Network; (b) evaluation of patient triage with risk classification; and (c) difficulties/challenges observed at the institution when providing user assessment with risk classification. It is concluded that nurses’ perceptions regarding the topic under study were linked to the disarticulation of the healthcare Network, the fragility of the relationship between physicians and nurses, and the lack of use of institutional protocols.

scholarly journals Infrastructure aging risk assessment for water distribution systems

2018 ◽  
Vol 19 (3) ◽  
pp. 899-907 ◽  
Author(s):  
Wilmer P. Cantos ◽  
Ilan Juran
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Failure Rate ◽  
Spatial Data ◽  
Asset Management ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Assessment Method ◽  
Spatial Data Analysis

Abstract Metropolitan governments and water operators are continuously facing the ever-growing challenges of evaluating the risks and optimizing investment in the rehabilitation of the buried aging infrastructure of water distribution systems (WDS). Proper asset management and efficient rehabilitation planning require monitoring, condition assessment, degradation risk analysis and a data-based model for degradation forecasting to support investment decision-making and significantly reduce the infrastructure rehabilitation cost. This paper presents a statistical and stochastic spatial data analysis of failure records of the WDS of the City of Wattrelos, France. The research objective is to develop and demo-illustrate the application of an operator's experience-based Risk Assessment Method (RAM) for network micro-zone prioritization of rehabilitation/replacement works to optimize preemptive asset management. The data used is a 74-year historical dataset from Wattrelos, France. The database includes approximately 424 observed failures for the period of 1991–2004. The data analysis demonstrates that understanding and using stochastic modeling to characterize the pattern of relationship between Failure Rate (FR), Age (T) and the Probability (or Risk) of exceeding a specific Failure Rate (Pr(FR)) of a micro-zone can effectively support the operator's assessment, risk management and prioritization in the maintenance and rehabilitation of the WDS.

scholarly journals Risiko Pemanfaatan Air Baku POKMAIR Watumalang Melalui Tinjauan Cemaran Koliform

2019 ◽  
Vol 5 (2) ◽  
pp. 77-86
Author(s):  
Pujiyati Pujiyati ◽  
Prabang Setyono ◽  
Wiryanto Wiryanto
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
High Risk ◽  
Water Samples ◽  
Clean Water ◽  
Water Sampling ◽  
Raw Water ◽  
Water Utilization ◽  
Quality Of Water

Watumalang, Wonosobo, is a district with substantial spring utilization (60.66%). Limited management in quality of water utilization is considered a risk to health, especially from coliform contamination. The purpose of this study is to assess the risk of using raw water of POKMAIR group (spring users), specifically from the coliform aspect. The study was conducted primarily by water sampling and respondent questionnaires. Data analysis was performed descriptively and correlatively. The result shows that 71% of water samples did not meet the requirements as clean water from the coliform aspect. Utilization risk assessment shows that 37.5% of high-risk villages. Further analysis shows that the closest relationship to coliform was the ownership of sanitation facilities (r -0,381).

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