Epidemiological investigation of workdays lost due to VDT related injuries

1998 ◽  
Vol 1 (4) ◽  
pp. 285-290
Author(s):  
Abdillahi H. Abib ◽  
Sourin P. Dutta

Several physiological factors, such as wrist, back, and neck injuries, and vision strain contributing to lost workdays in different types of industries using video display terminals (VDTs) were examined using multi-regression model. The developed linear multi-regression model showed that the presence or absence of neck injuries data gives the same result, although the data of neck injuries were highly correlated with dependent variable, workdays lost in comparison with other independent variables. The most important result from this model showed that the combination of back injuries and vision strain data have high correlation coefficient value. The position of worker's back affects his/her vision strain. Findings of this study show that wrist, and back injuries, and vision strain are the main contributors to the workdays lost. Since the numbers of workers using VDT are going up due to advanced technologies, the number of injuries related with VDT will go up dramatically if necessary actions are not taken.

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 524
Author(s):  
Junhua Xu ◽  
Shuangbao Zhang ◽  
Guofang Wu ◽  
Yingchun Gong ◽  
Haiqing Ren

With the increasing popularity of cross-laminated timber (CLT) constructions around the world, there have been attempts to produce CLT using local wood species in different countries, such as Japanese larch (Larix kaempferi (Lamb.) Carr.) in China. Thus, the need to investigate the connection performance also increases to support the design and construction of CLT buildings using local wood species. In this study, the withdrawal properties of three different types of self-tapping screws (STS), with a diameter of 6 mm, 8 mm, and 11 mm, were tested with Japanese larch CLT. The results revealed that the withdrawal strength of STS increased with increasing density and effective length, but decreased with an increasing diameter. With a density increment of 0.05 g/cm3, the withdrawal strength increased by an average of 9.4%. With an effective length increment of 24 mm, the withdrawal strength increased by an average of 1.4%. An empirical regression model was adopted to predict the withdrawal strength of Japanese larch CLT based on the results, which can be used for potential engineering design of CLT connections using STS.


2013 ◽  
Vol 726-731 ◽  
pp. 4709-4713
Author(s):  
Lin Jing Zhang ◽  
Hong Zhang Ma ◽  
Zhu Bo Zhou ◽  
Zhong Liang Ren ◽  
Xiao Bo Zhu ◽  
...  

Based on the physical models of PROSPECT, SAIL and porosity model, hyperspectral data and canopy coverage data of different combined scenes were simulated. According to the simulated data, we chose four sensitive bands and four sensitive vegetation indexes highly correlated to vegetation canopy coverage, and analyzed the correlation between sensitive bands, sensitive vegetation indexes and canopy coverage. Then we built a regression model of canopy coverage with EVI highly correlated with canopy coverage. At last, we verified this model by experimental data from ground measurement experiment. It shows that there is a high correlation between EVI and canopy coverage and the regression model built by EVI can produce an effective result and the RMSE is less than 0.09.


2018 ◽  
Vol 42 (1) ◽  
pp. 101 ◽  
Author(s):  
Sehoon Choi ◽  
Seong Ho Jang ◽  
Kyu Hoon Lee ◽  
Mi Jung Kim ◽  
Si-Bog Park ◽  
...  

The purpose of this work is to develop a UJSON web technology with C# application to analyze the student data in real-ime. Execute continuous requests on JSON streaming data based on advanced technologies for parallel streaming computing, suitable for solving analytic problems and calculation of metrics in real-time. The developed management information system in this research work designed to filtering event flow, building an event flow as a query result, grouping and aggregation of events, and creating window semantics. For testing the proposed work, several queries were selected that implement aggregation with different types of semantic windows (Steps, Slides). Testing was done locally and on education moodle clusters. It was used 4 types of configurations 2, 4, 8, and 16 computing nodes. Based on the obtained results, scalability is noticeable with an increase in the number of nodes. The updated functions of the proposed UJSON could improve the construction of parallel flow systems and data processing. The developed approach based on modern and advanced parallel flow technologies for output calculations considering the pros and cons of various approaches found in the current era.


2021 ◽  
Author(s):  
Jeannie H. Phan ◽  
Khine K. Kyaw ◽  
Julia K. Tan ◽  
Emily Q. Lam ◽  
Cheng-Kuan Lin

Abstract Background As a result of increased demand for environmental and health-conscious cosmetics, retailers have increasingly marketed their products using terms such as “clean” or "non-toxic". Sephora, a popular beauty retailer, implemented a clean seal system to label and promote their products. This study aims to compare the toxicity concerns of clean vs. non-clean products by using the Environmental Working Group (EWG)'s Skin Deep framework. Methods EWG’s Skin Deep Framework was used to rank products based on their cancer, allergy and immunotoxicity, developmental and reproductive toxicity, and use-restriction concerns, with lower scores indicating a cleaner product (ranging 0–10). The distributions of EWG scores among clean and non-clean products were investigated and stratified by different types of products (i.e. fragrance, hair, makeup, or skincare). A multivariable linear regression model was further applied to evaluate the association between EWG scores and clean seals, adjusting by types of products, level of toxicity concerns. Results 356 products were screened, including 180 (50.56%) clean products and 176 (49.44%) non-clean products. Clean products yielded a higher percentage of low hazard ingredients compared to non-clean products. EWG scores are positively correlated with the levels of toxicity concern for cancer, allergy and immunotoxicity, respectively. Clean products are also associated with a lower EWG score by 0.71 in the regression model. Fragrance products are most hazardous, with a 2.42 increase in EWG score. Conclusions Products under the binary “clean beauty” labeling system at Sephora may not necessarily capture the nuances of EWG’s ten-point scoring system and various dimensions of health concerns. It may be insufficient for consumers to solely rely on the presence of the clean seal when purchasing beauty products. Consulting multiple frameworks and sources to inform decision-making is crucial in addressing knowledge gaps. Further research and increased data availability from EWG’s database are necessary as well as public education on the application of Sephora’s clean seal.


Work ◽  
2012 ◽  
Vol 42 (3) ◽  
pp. 429-433 ◽  
Author(s):  
Seyed Jalil Mirmohammadi ◽  
Amir Houshang Mehrparvar ◽  
Mohammad Bagher Olia ◽  
Monirolsadat Mirmohammadi

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