scholarly journals Determining the prevalence of musculoskeletal injuries and its relationship with workplace posture in copper industry repairmen

2021 ◽  
Author(s):  
Masuomeh KARAMI ◽  
Saeid Ghane EZABADI ◽  
Zohreh KARAMI ◽  
Yaser SAHRANAVARD
Keyword(s):  
Musculoskeletal Disorders ◽  
Occupational Injuries ◽  
Musculoskeletal Injuries ◽  
Risk Level ◽  
Low Back ◽  
Low Level ◽  
Left Limb ◽  
Medium Level ◽  
High Level ◽  
Very High

Introduction: Musculoskeletal disorders are one of the most common causes of occupational injuries that mainly affect the low back, neck, and upper limbs. Preventing these discomforts requires assessing workplace posture using ergonomic job analysis methods. The aim of this study was to determine the rate of musculoskeletal injuries of mechanical repairs using REBA method in 2018 in Sarcheshmeh copper mine. Methods: In this descriptive-analytical study, the workplace posture of 65 mechanical repairs were evaluated using REBA method. The prevalence of musculoskeletal disorders was also obtained using the Nordic questionnaire. The collected data were analyzed by SPSS 20. Results: In this study, the prevalence of wrist discomfort was 43.07%, neck 18.46%, shoulder 33.84%, low back 53.85%, and leg 27.70%. Regarding the risk level of the right limb, 9.25% of the subjects were at a low level, 46.15% at a medium level, 32.30% at a high level, and 12.30% at a very high level. Also, regarding the risk level of the left limb, 4.62% of the subjects were at a low level, 64.61% at a medium level, 26.15% at a high level, and 4.62% at a very high level. Conclusion: These results indicated that the workplace posture of the subjects needed to be improved. To prevent the occurrence of these disorders, education is required to recognize biomechanical risk factors and correct methods of working, use of appropriate tools and appropriate to the work process, and improvement and control of stressors and environmental factors.  

scholarly journals Learning Skills Level on The Young Prisoners in Correctional Institution Adolescent

2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Alizamar Alizamar ◽  
Gusni Dian Suri ◽  
Mudjiran Mudjiran ◽  
Syahniar Syahniar ◽  
Afdal Afdal
Keyword(s):  
Research Finding ◽  
Quantitative Method ◽  
Correctional Institution ◽  
Correctional Institutions ◽  
Learning Skills ◽  
Low Level ◽  
Medium Level ◽  
The Government ◽  
High Level ◽  
Very High

The future achievement of adolescent in correctional institutions is also required to assume education or learning. The government has need to provide coaching for young prisoners in education at correctional institution so they are ready to enter new life after free. But the coaching that has not been able to optimally implementation. One of the problems that young prisoners is low learning skills. The purpose of this study was to describe learning skills of the young prisoners in correctional institution adolescent Tanjung Pati Lima Puluh Koto. This research used quantitative approaches with descriptive-quantitative method. The sample in this research consisted of 32 young prisoner. An analyze of the data used instruments learning skills of the young prisoners and analysis used is presentation. The research finding showed that learning skills of young prisoners at a medium level as many as 17 people with 73,91%, the very high level as many as 5 people with 21,74%, the low level as many as 1 people with 4,35%. The implication of this research is to describe learning skills young prisoners. In order, the results of this study could be data to assist the prisoners and coaching for solving their problems in learning

scholarly journals Ergonomic Assessment of Working Postures Using NERPA and REBA Methods (Case Study: Abadan Oil Refinery)

2020 ◽  
Author(s):  
Rohadin Moradi rad ◽  
Shahram Vosough ◽  
Sakineh Mahdavi
Keyword(s):  
Musculoskeletal Disorders ◽  
Pearson Correlation ◽  
Statistical Test ◽  
Oil Refining ◽  
Risk Level ◽  
Entire Body ◽  
Working Postures ◽  
Medium Level ◽  
High Level ◽  
Postural Analysis

Background: Improper posture is recognized as one of the risk factors in musculoskeletal disorders. So, operational postures assessment is required to correct undesirable postures and reduce musculoskeletal disorders. This study was conducted to specify the risk level of working postures utilizing REBA (Rapid Entire Body Assessment) and NERPA (Novel Ergonomic Postural Assessment) method and determining its relationship with the occurrence of musculoskeletal disorders in the operational occupations of Abadan Oil Refining Company. Methods: The current study was a cross-sectional and descriptive-analytical study. Using the Cochran formula, 315 of the operational employees of the Abadan Oil Refining Company were studied. Data were gathered by the methods of REBA and NERPA and analyzed using SPSS 20 and statistical tests. The statistical test of the Pearson correlation coefficient was applied to determine the correlation between the results of REBA and NERPA methods. The confidence level of 95% was taken into consideration. Results: Based on the results obtained from REBA method, the highest frequency percentage in the risk level of postural analysis was attributed to 206 subjects (65.4%) in the medium level, 88 subjects (27.9%) in the low level, and 20 subjects (6.3%) in the high level. Regarding the results obtained from NERPA method, the highest frequency percentage in the risk level of postural analysis was attributed to 158 subjects (50.2%) in the high level, 134 subjects (42.5%) in the medium level and 23 subjects (7.3%) were in the very high level. The statistical test results revealed that a statistically significant relationship was observed between the mean score of REBA and NERPA (P<0.001). Conclusion: This study's results declared that the NERPA method, by regarding the domain and angles of motion more than the REBA posture assessment, investigated the musculoskeletal health and was more worker-oriented.

scholarly journals LANDSLIDE SUSCEPTIBILITY MAPPING IN BERASTAGI DISTRICT KARO REGENCY BASED ON GEOGRAPHIC INFORMATION SYSTEMS

2021 ◽  
Vol 10 (1) ◽  
pp. 9
Author(s):  
Desi Permata Sari ◽  
Nahor Manahat Simanungkalit ◽  
Nina Novira
Keyword(s):  
Landslide Susceptibility ◽  
System Approach ◽  
Rock Type ◽  
Geographic Information ◽  
Landslide Susceptibility Mapping ◽  
Low Level ◽  
Medium Level ◽  
High Level ◽  
Very High

This study aims to describe the spatial distribution of landslide prone areas in Berastagi District, Karo Regency with a Geographic Information System approach. Determination of the level of landslide susceptibility is obtained based on the method of scoring and weighting and overlaying of parameters including slope, rainfall, land use, soil type, rock type, and landform. The results showed that there were 4 levels of landslide susceptibility in Berastagi District, Karo Regency, namely low level of susceptibility 1,036.76 Ha (33.16%), medium level of susceptibility 772.02 Ha (24.69%), high level of susceptibility 1,055 .53 Ha (33.76 %), and very high level of susceptibility 262.13 Ha (8.38 %). The low level of susceptibility is dominated by Guru Singa Village (10.83 %), Raya Village (8.66 %), and Rumah Berastagi Village (3.72%). The medium and high level of susceptibility were dominated by Sempajaya Village at 4.51% and 3.68%. The very high level of susceptibility to landslides is dominated by Doulu Village, which is 17.40%. Meanwhile, the other 5 (five) villages have varying levels of susceptibility to landslides. Thus, 33.16% of the Berastagi District area is still safe from landslides, while the remaining 66.83% is prone to landslides.

Urban network of China from the perspective of population mobility: Three-dimensional co-occurrence of nodes and links

2021 ◽  
pp. 0308518X2199781
Author(s):  
Xinyue Luo ◽  
Mingxing Chen
Keyword(s):  
Three Dimensional ◽  
Geographical Distance ◽  
Two Dimensional ◽  
Population Mobility ◽  
Urban Network ◽  
Urban Networks ◽  
Low Level ◽  
Medium Level ◽  
High Level ◽  
External Connections

The nodes and links in urban networks are usually presented in a two-dimensional(2D) view. The co-occurrence of nodes and links can also be realized from a three-dimensional(3D) perspective to make the characteristics of urban network more intuitively revealed. Our result shows that the external connections of high-level cities are mainly affected by the level of cities(nodes) and less affected by geographical distance, while medium-level cities are affected by the interaction of the level of cities(nodes) and geographical distance. The external connections of low-level cities are greatly restricted by geographical distance.

scholarly journals Building Extraction in Very High Resolution Imagery by Dense-Attention Networks

2018 ◽  
Vol 10 (11) ◽  
pp. 1768 ◽  
Author(s):  
Hui Yang ◽  
Penghai Wu ◽  
Xuedong Yao ◽  
Yanlan Wu ◽  
Biao Wang ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Building Extraction ◽  
Learning Networks ◽  
Feature Maps ◽  
Low Level ◽  
High Resolution Imagery ◽  
Very High Resolution Imagery ◽  
High Level ◽  
Very High

Building extraction from very high resolution (VHR) imagery plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Compared with the traditional building extraction approaches, deep learning networks have recently shown outstanding performance in this task by using both high-level and low-level feature maps. However, it is difficult to utilize different level features rationally with the present deep learning networks. To tackle this problem, a novel network based on DenseNets and the attention mechanism was proposed, called the dense-attention network (DAN). The DAN contains an encoder part and a decoder part which are separately composed of lightweight DenseNets and a spatial attention fusion module. The proposed encoder–decoder architecture can strengthen feature propagation and effectively bring higher-level feature information to suppress the low-level feature and noises. Experimental results based on public international society for photogrammetry and remote sensing (ISPRS) datasets with only red–green–blue (RGB) images demonstrated that the proposed DAN achieved a higher score (96.16% overall accuracy (OA), 92.56% F1 score, 90.56% mean intersection over union (MIOU), less training and response time and higher-quality value) when compared with other deep learning methods.

scholarly journals Evaluation of Resistance Development in Bemisia tabaci Genn. (Homoptera: Aleyrodidae) in Cotton against Different Insecticides

Insects ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 996
Author(s):  
Muhammad Zaryab Khalid ◽  
Sohail Ahmed ◽  
Ibrahim Al-ashkar ◽  
Ayman EL Sabagh ◽  
Liyun Liu ◽  
...  
Keyword(s):  
Bemisia Tabaci ◽  
The Other ◽  
Resistance Development ◽  
Susceptible Population ◽  
Low Level ◽  
Development Of Resistance ◽  
Major Pest ◽  
Selection For ◽  
High Level ◽  
Very High

Cotton is a major crop of Pakistan, and Bemisia tabaci (Homoptera: Aleyrodidae) is a major pest of cotton. Due to the unwise and indiscriminate use of insecticides, resistance develops more readily in the whitefly. The present study was conducted to evaluate the resistance development in the whitefly against the different insecticides that are still in use. For this purpose, the whitefly population was selected with five concentrations of each insecticide, for five generations. At G1, compared with the laboratory susceptible population, a very low level of resistance was observed against bifenthrin, cypermethrin, acetamiprid, imidacloprid, thiamethoxam, nitenpyram, chlorfenapyr, and buprofezin with a resistance ratio of 3-fold, 2-fold, 1-fold, 4-fold, 3-fold, 3-fold, 3-fold, and 3-fold, respectively. However, the selection for five generations increased the resistance to a very high level against buprofezin (127-fold), and to a high level against imidacloprid (86-fold) compared with the laboratory susceptible population. While, a moderate level of resistance was observed against cypermethrin (34-fold), thiamethoxam (34-fold), nitenpyram (30-fold), chlorfenapyr (29-fold), and acetamiprid (21-fold). On the other hand, the resistance was low against bifenthrin (18-fold) after selection for five generations. A very low level of resistance against the field population of B. tabaci, at G1, showed that these insecticides are still effective, and thus can be used under the field conditions for the management of B. tabaci. However, the proper rotation of insecticides among different groups can help to reduce the development of resistance against insecticides.

The Analysis of Students Mathematic Problem Solving Ability During Online Learning

2021 ◽  
Vol 6 (1) ◽  
pp. 62-68
Author(s):  
M. Arif Wahyu Daroini ◽  
Tri Novita Irawati ◽  
Sholahudin Al Ayubi
Keyword(s):  
Online Learning ◽  
Problem Solving ◽  
Mathematical Problem ◽  
Mathematical Problem Solving ◽  
Ability Level ◽  
Maximum Score ◽  
Low Level ◽  
Medium Level ◽  
Good For ◽  
High Level

This study aims to determine students' mathematical problem solving abilities based on their high, medium and low level of ability in solving the problem. This type of research is descriptive qualitative. The data collecting method that use are observation, test, and interview. The results showed that the problem-solving ability of high-level subjects reached an average of 75%, the problem-solving abilities of medium-level subjects reached an average of 67%, the problem-solving abilities of low-level subjects reached an average of 67%, out of a maximum score of 100. The result of interview, ability level high, medium, and low, students are capable and good even though it does not reach 100%. So, it can be concluded that high, medium, and low level abilities are good for going through the problem solving ability indicator.  Keywords: problem solving, online learning  

scholarly journals Modeling the Impact of High Temperature on Mortality in Pakistan

2021 ◽  
Vol 14 (1) ◽  
pp. 332
Author(s):  
Mushtaq Ahmad Khan Barakzai ◽  
S.M. Aqil Burney
Keyword(s):  
High Temperature ◽  
Geographical Location ◽  
Maximum Temperature ◽  
Climate Data ◽  
Medium Temperature ◽  
Average Rainfall ◽  
Medium Level ◽  
High Level ◽  
The Impact ◽  
Very High

The objective of this paper is to model and study the impact of high temperature on mortality in Pakistan. For this purpose, we have used mortality and climate data consisting of maximum temperature, variation in monthly temperature, average rainfall, humidity, dewpoint, as well as average air pressure in the country over the period from 2000 to 2019. We have used the Generalized Linear Model with Quasi-Poisson link function to model the number of deaths in the country and to assess the impact of maximum temperature on mortality. We have found that the maximum temperature in the country has a significant impact on mortality. The number of deaths in Pakistan increases as the maximum temperature increases. We found that, as the maximum temperature increase beyond 30 °C, mortality increases significantly. Our results indicate that mortality increases by 27% when the maximum temperature in the country increases from medium category to a very high level. Similarly, the number of deaths in the country increases by 11% when the temperature increases from medium temperature to high level. Furthermore, our study found that when the maximum temperature in the country decreases from a medium level to a low level, the number of deaths in the country decreases by 23%. This study does not consider the impact of other factors on mortality, such as age, medical conditions, gender, geographical location, as well as variability of temperature across the country.

scholarly journals Tsunami risk levels mapping in Puger Sub-District, Jember Regency

2021 ◽  
Vol 930 (1) ◽  
pp. 012094
Author(s):  
E P Anindia ◽  
E Hidayah ◽  
R U A Wiyono
Keyword(s):  
Tsunami Hazard ◽  
Weighting Method ◽  
Risk Levels ◽  
Low Level ◽  
Prone Area ◽  
Medium Level ◽  
Run Up ◽  
Hazard Level ◽  
Tsunami Run Up ◽  
High Level

Abstract Puger sub-district is categorized as a tsunami-prone area because of its location in the South Coast, directly facing the Indian Ocean, which is the meeting point for two active tectonic plates. The active plate zone is prone to causing earthquakes that raise tsunamis. This article will describe the tsunami hazard and vulnerability level in Puger sub-district using the Geographic Information System (GIS) application. The method in this study uses a weighted overlay method. The weighting method is carried out to determine the level of tsunami hazard and vulnerability by following the weighting criteria in previous studies. Physical vulnerability criteria include land elevation, slope, beach type, land use, coastline distance, and rivers. The tsunami hazard level is determined based on the tsunami run-up map from previous studies. Based on the results of the risk mapping, it was found that there were five risk categories in Puger sub-district, namely the very low level (13.90 Ha), low level (271.99 Ha), medium level (7133.25 Ha), high level (644.22 Ha), and very high level (23.29 Ha).

scholarly journals Empowerment of Women in Fisheries: Evidence from Ganjam District of Odisha

2020 ◽  
pp. 61-68
Author(s):  
Priyanka Patra ◽  
S. S. Dana ◽  
S. B. Ramya Lakshmi
Keyword(s):  
The State ◽  
Composite Score ◽  
Women Empowerment ◽  
Low Level ◽  
Inland Fisheries ◽  
Medium Level ◽  
Good Concentration ◽  
Different Dimensions ◽  
High Level ◽  
Ganjam District

The present study was conducted to assess the empowerment level of women in the fisheries sector in the Ganjam district of Odisha. In the inland sector, the highest numbers of women are of the fishermen population in Ganjam district i.e. 29476 out of a total 263514 number of female fisheries population of the state (Directorate of Fisheries, Government of Odisha, 2015). A very good concentration of women is involving in fisheries activities in this district. But when sector-specific cases are concerned, there are very few studies found where different dimensions of women empowerment through fisheries are discussed. The results revealed that the majority of the respondents (66.60%) in the Inland sector are grouped under a medium level of empowerment followed by low and high-level empowerment (16.70%). These results indicated that there is a significant move towards the empowerment of women in the case of inland fisheries. However, in the Marine sector equal percentage of respondents belonged to both medium and high levels of women empowerment i.e. each 30 (50.00%) and low level of empowerment was nil which indicates the level of empowerment in the marine fisheries activities compared to inland fisheries. With this background, the overall empowerment score was categorized into the low, medium, and high level of empowerment where a majority of the respondents (71.6%) were under the medium level of empowerment followed by the equal percentage of the low and high level of empowerment (14.2%). The composite score of empowerment of women is also encouraging. However, efforts are needed to bring women empowerment from medium level to a higher level. There is also a need to uplift a section of women who are still in the lower category of empowerment.

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