Industrial Noise Pollution and Its Impact on the Hearing Capacity of Workers: A Case Study of Gujranwala City, Pakistan

The main purpose of this study was to analyze and evaluate the impacts of industrial noise pollution onhearing of workers in Gujranwala. Noise pollution levels were measured at fifty locations with the help of sound levelmeter, which was placed at a height above 1.2 meters from the ground. Two hundred workers were interviewed throughquestionnaire method. Different statistical tests correlation and chi-square were applied to analyze the noise pollutionlevel in Gujranwala city. Impacts of industrial noise pollution on hearing of workers were shown in different mapsusing interpolation and buffers. The present study concluded that noise pollution levels were exceeding the WHOpermissible limit of noise pollution at all sample locations. Workers of factories were suffering from annoyance,hypertension, irritation, interference with speech communication and sleep disturbance. Thus, it is necessary to possessa hearing discussion program in factories. One of its main parts is education to raise the consciousness of workers aboutnoise risks and techniques of prevention. Lastly, the issues of noise annoyance should be included in all future studieson the usage of hearing protection devices.

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A case study of noise pollution levels during the restrictions period due to COVID-19.

INTER-NOISE and NOISE-CON Congress and Conference Proceedings ◽

10.3397/in-2021-1342 ◽

2021 ◽

Vol 263 (6) ◽

pp. 206-214

Author(s):

David Montes-González ◽

Juan Miguel Barrigón-Morillas ◽

Ana Cristina Bejarano-Quintas ◽

Manuel Parejo-Pizarro ◽

Guillermo Rey-Gozalo ◽

...

Keyword(s):

Noise Pollution ◽

Urban Environments ◽

Control Measures ◽

Acoustic Measurements ◽

Pollution Levels ◽

The World ◽

The Impact ◽

The City

The pandemic of coronavirus disease (COVID-19) led to the need for drastic control measures around the world to reduce the impact on the health of the population. The confinement of people in their homes resulted in a significant reduction in human activity at every level (economic, social, industrial, etc.), which was reflected in a decrease in environmental pollution levels. Studying the evolution of parameters, such as the level of environmental noise caused by vehicle traffic in urban environments, makes it possible to assess the impact of this type of measure. This paper presents a case study of the acoustic situation in Cáceres (Spain) during the restriction period by means of long-term acoustic measurements at various points of the city.

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Noise Annoyance in the UAE: A Twitter Case Study via a Data-Mining Approach

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18042198 ◽

2021 ◽

Vol 18 (4) ◽

pp. 2198

Author(s):

Andrew Peplow ◽

Justin Thomas ◽

Aamna AlShehhi

Keyword(s):

Social Media ◽

United Arab Emirates ◽

Noise Source ◽

Search Algorithm ◽

Noise Pollution ◽

Health Concern ◽

Global Public Health ◽

Noise Sources ◽

Noise Annoyance

Noise pollution is a growing global public health concern. Among other issues, it has been linked with sleep disturbance, hearing functionality, increased blood pressure and heart disease. Individuals are increasingly using social media to express complaints and concerns about problematic noise sources. This behavior—using social media to post noise-related concerns—might help us better identify troublesome noise pollution hotspots, thereby enabling us to take corrective action. The present work is a concept case study exploring the use of social media data as a means of identifying and monitoring noise annoyance across the United Arab Emirates (UAE). We explored an extract of Twitter data for the UAE, comprising over eight million messages (tweets) sent during 2015. We employed a search algorithm to identify tweets concerned with noise annoyance and, where possible, we also extracted the exact location via Global Positioning System (GPS) coordinates) associated with specific messages/complaints. The identified noise complaints were organized in a digital database and analyzed according to three criteria: first, the main types of the noise source (music, human factors, transport infrastructures); second, exterior or interior noise source and finally, date and time of the report, with the location of the Twitter user. This study supports the idea that lexicon-based analyses of large social media datasets may prove to be a useful adjunct or as a complement to existing noise pollution identification and surveillance strategies.

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THE EFFECTIVENESS OF PROVISION OF NEW STATIC INFORMATION SIGNAGE: A CASE STUDY OF INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA, GOMBAK CAMPUS

PLANNING MALAYSIA JOURNAL ◽

10.21837/pm.v10i3.102 ◽

2012 ◽

Vol 10 ◽

Author(s):

Syazwani Sahrir ◽

Syahriah Bachok ◽

Mariana Mohamed Osman

Keyword(s):

Statistical Tests ◽

Road Transport ◽

Young Student ◽

Highway Traffic ◽

Chi Square ◽

Campus Environment ◽

Static Information

The provision of road and highway traffic signage on public roads has been regulated in Malaysia, by the Department of Works and Departments of Road Transport Acts, Rules and Regulations 1987. Many studies have focused on the responses and impacts of these types of signage. However, for many private roads which a re not regulated under these Acts, Rules and Regulations, several non-conventional types of signage have beenprovided. There is lack of study, however, on the impacts of and drivers' responses towards these signages. This study, hence, explores the types, contents and locations of these signage. Additionally, the impacts of and responses towards these signages are evaluated in a controlled campus environment. Using the International Islamic University Malaysia's young student drivers as the unique purposive samples, statistical tests including correlation and chi-square analyses have been conducted. It is preliminary reported that gender and observation frequency, to a certain extent, influenced drivers' responses towards the information conveyed by the signages.

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A Case Study on Narcissism and Anxiety amongst Students

IRA International Journal of Education and Multidisciplinary Studies ◽

10.21013/jems.v16.n1.p9 ◽

2020 ◽

Vol 16 (1) ◽

pp. 59

Author(s):

Erlinda P. Jumag ◽

Jerald C. Moneva

Keyword(s):

High School Students ◽

Rating Scale ◽

Statistical Tests ◽

Development Theory ◽

School Students ◽

Chi Square ◽

Final Exam ◽

Quantitative Design ◽

Senior High School Students

<p>The study intends to assess the level of the narcissism of students and the level of anxiety. Narcissism is an excessive admiration and unrealistic positive view of oneself and physical appearance. While anxiety is a feeling of having fear of what might happen that is usually experienced by the students. The study is anchored in the Cognitive Development Theory of Jean Piaget in 1936. He explained anxiety as the tendency to overestimate the potential for danger. This research study used the correlational quantitative design because it examined the association between the level of the narcissism of students and the level of anxiety. Using a rating scale questionnaire on the level of narcissism and the level of anxiety is the level of anxiety among senior high school students. The researchers found out that most of the students feel assertive. Also, they seldom like to be the center of attention which means of having a narcissistic personality which could affect the way they perform in school. Meanwhile, they also feel anxious of hearing the announcement of a coming test and reading the first question on final exam. The data gathered was treated with the use of statistical tests the weighted mean and chi-square. The study showed that there is an association between the level of narcissism and level of anxiety.</p>

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Mitigation of environmental noise in urban streets through lightweight transparent screens

Noise Mapping ◽

10.1515/noise-2020-0005 ◽

2020 ◽

Vol 7 (1) ◽

pp. 57-73

Author(s):

Antonio Gagliano ◽

Francesco Nocera ◽

Andrea Cicero ◽

Luigi Marletta ◽

Gianpiero Evola

Keyword(s):

Adverse Effects ◽

Urban Areas ◽

Southern Italy ◽

Noise Pollution ◽

Environmental Stressors ◽

Local Authorities ◽

Urban Streets ◽

Late Night ◽

Noise Annoyance

AbstractNoise pollution is one of the main environmental stressors in urban areas. In particular, strong noise pollution can be experienced at nighttime in downtown areas with intense anthropic activities: here, dwellers may suffer from disturbance to their rest, which induces stress and – in turn – adverse effects on health.Usually, local authorities implement actions to tackle noise pollution, e.g. limiting the time allowed for outdoor events. However, these measures are often inadequate because the noise annoyance comes directly by the shouting of people spending time outdoors till late night.In this framework, this study proposes a procedure to optimize the shape of customized lightweight transparent noise screens that can be applied to façades in order to reduce noise disturbance in urban canyons. The case study of the “movida” area in the downtown of Marina di Ragusa (Southern Italy) is discussed to test the applicability of the proposed procedure.The results of this analysis allow defining the shape and the size of the noise screens that minimize the noise annoyance perceived by residents. The proposed mitigation approach can be applied in cities affected by significant noise pollution.

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Impacts of Built-Up Area Geometry on PM10 Levels: A Case Study in Brno, Czech Republic

Atmosphere ◽

10.3390/atmos11101042 ◽

2020 ◽

Vol 11 (10) ◽

pp. 1042

Author(s):

Jiří Neubauer ◽

Jaroslav Michálek ◽

Karel Šilinger ◽

Petr Firbas

Keyword(s):

Meteorological Factors ◽

Statistical Tests ◽

Descriptive Statistics ◽

The Other ◽

Traffic Intensity ◽

Statistical Comparison ◽

Pollution Levels ◽

Humidity Change ◽

Parallel Measurements

This paper presents a statistical comparison of parallel hourly measurements of particulate matter smaller than 10 μm (PM10) from two monitoring stations that are located 560 m from each other in the northern part of Brno City. One monitoring station is located in a park, the other in a built-up area. The authors’ aim is to describe the influence of a built-up area geometry and nearby traffic intensity on modeling of PM10 pollution levels in the respective part of Brno. Furthermore, the purpose of this study is also to examine the influence of meteorological factors on the pollution levels; above all, to assess the influence of wind speed and direction, temperature change, and humidity change. In order to evaluate the obtained data, the following methods of mathematical statistics were applied: descriptive statistics, regression analysis, analysis of variance, and robust statistical tests. According to the results of the Passing–Bablok test, it can be stated that the parallel measurements of PM10 are significantly different. A regression model for PM10 pollution prediction was created and tested in terms of applicability; subsequently, it was used in order to compare measurements from both stations. It shows that in addition to the monitored meteorological factors, pollution levels are influenced mainly by traffic intensity and the geometry of the monitored built-up area.

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Sustainability of Railway Undertaking Services with Lean Philosophy in Risk Management—Case Study

Sustainability ◽

10.3390/su12135298 ◽

2020 ◽

Vol 12 (13) ◽

pp. 5298 ◽

Cited By ~ 1

Author(s):

Eva Nedeliakova ◽

Maria Hudakova ◽

Matej Masar ◽

Lenka Lizbetinova ◽

Renata Stasiak-Betlejewska ◽

...

Keyword(s):

Risk Management ◽

Slovak Republic ◽

Statistical Tests ◽

Software Tool ◽

Point Of View ◽

Passenger Transport ◽

Chi Square ◽

Railway Passenger Transport ◽

Railway Passenger

The sustainability of services in undertakings which operate in railway passenger transport is closely connected with efforts to provide high-quality and time-acceptable services to the customer, to achieve lean processes, to standardise work processes, to eliminate wastage and to avoid those activities which do not add any value. Considering its ecological nature and big volume of passenger transport, railway passenger transport represents an irreplaceable sustainable system for the future. These facts and the entry of new railway carriers into this system highlight the importance of managing risks in a progressive way. This article focuses on the options of risk management when versatile and flexible tools, such as Lean tools, are set correctly. The aim of this article is to introduce a proposal for the application and a specific application of Lean philosophy in risk management which impacts train delays in railway passenger transport. From the point of view of quantitative data analysis, multiple mathematical-statistical tests have been used to assess data (e.g., Anderson–Darling test, Kolmogorov–Smirnov test, Jarque–Bera test, two-tailed test, Grubbs’s test and Thompson Tau test). Also, descriptive statistics and ANOVA test (Analysis of Variance) have been applied in the process of evaluating the monitored attributes. In order to assess the data dependency, Chi-Square Test and a correlation analysis have been applied. The research outcomes focus on highlighting the need for a systematic approach for train delays and to avoid delays through risk management. The case study applies selected Lean methods to monitor train delays in selected stations within the main railway corridor of the Slovak Republic for the period from 2015 to 2018. In 2019, the results were processed and created a basis for proposing a unique software tool like an aid for risk management in the case of train delays using Lean philosophy. The flexible software includes the participation of employees, and at the same time, it respects the needs of customers. The research results provide grounds for further study of risks in a challenging environment of railway undertakings, with different types of trains, railway stations as well as entire railway networks. The processed results of the article represent valuable material for railway undertakings not only in Slovakia but also for railway organisations in V4 countries.

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The Factors Affecting the Refusal of Reporting on Medication Errors from the Nurses' Viewpoints: A Case Study in a Hospital in Iran

ISRN Nursing ◽

10.1155/2013/876563 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 11

Author(s):

Mohammadkarim Bahadori ◽

Ramin Ravangard ◽

Amin Aghili ◽

Jamil Sadeghifar ◽

Mahdi Gharsi Manshadi ◽

...

Keyword(s):

Patient Safety ◽

Medication Errors ◽

Statistical Tests ◽

Consensus Method ◽

Chi Square ◽

Cross Sectional ◽

Factors Affecting ◽

Study Results ◽

Inpatient Units

Objective. Medication errors are the most common types of medical errors which considerably endanger the patient safety. This survey aimed to study the factors influencing not reporting on medication errors from the nurses’ viewpoints in Abbasi Hospital of Miandoab, Iran. Methods. This was a cross-sectional, descriptive and analytical study conducted in 2012 in which all nurses () working in different inpatient units were studied using a consensus method. Required data were collected using a questionnaire. Collected data were analyzed through some statistical tests including Independent -test, ANOVA, and chi-square. Results. According to the results, the most important reasons for not reporting on medication errors were related to the managerial factors (), factors related to the process of reporting (), and fear of the consequences of reporting (), respectively. Also, there was a significant relationship between employment status and fear of the Consequences of reporting on medication errors (). Conclusion. This study results showed that managerial factors had the greatest role in the refusal of reporting on medication errors. Therefore, for example, establishing a mechanism to improve quality rather than focus only on finding the culprits and blaming them can result in improving the patient safety.

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THE EFFECTIVENESS OF PROVISION OF NEW STATIC INFORMATION SIGNAGE: A CASE STUDY OF INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA, GOMBAK CAMPUS

PLANNING MALAYSIA JOURNAL ◽

10.21837/pmjournal.v10.i3.102 ◽

2012 ◽

Vol 10 (3) ◽

Author(s):

Syazwani Sahrir ◽

Syahriah Bachok ◽

Mariana Mohamed Osman

Keyword(s):

Statistical Tests ◽

Road Transport ◽

Young Student ◽

Highway Traffic ◽

Chi Square ◽

Campus Environment ◽

Static Information

The provision of road and highway traffic signage on public roads has been regulated in Malaysia, by the Department of Works and Departments of Road Transport Acts, Rules and Regulations 1987. Many studies have focused on the responses and impacts of these types of signage. However, for many private roads which a re not regulated under these Acts, Rules and Regulations, several non-conventional types of signage have beenprovided. There is lack of study, however, on the impacts of and drivers' responses towards these signages. This study, hence, explores the types, contents and locations of these signage. Additionally, the impacts of and responses towards these signages are evaluated in a controlled campus environment. Using the International Islamic University Malaysia's young student drivers as the unique purposive samples, statistical tests including correlation and chi-square analyses have been conducted. It is preliminary reported that gender and observation frequency, to a certain extent, influenced drivers' responses towards the information conveyed by the signages.

Download Full-text