industrial health
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2021 ◽  
pp. 205943642110272
Author(s):  
Mujie Zhao ◽  
Dimple R Thadani

This article aims to present and analyse the relationship between online game companies and players under four types of deceptions in Chinese game market: mechanism imitation, direct rip off, top-up enticement and negative marketing. The main purpose of this article was to understand how deception affects players’ decision and which type of player is ‘sensitive’ when deception happened. There are 356 valid survey results about attitude to deception collected from players on social network. MGPM* model is used as the data analysis method. Analysis revealed that top-up enticement reduces players’ motivation at highest extent. Players motivated by ‘derivative motivation’ are sensitive and more tend to quit game than those motivated by ‘general motivation’. This research indicates if game company figured out player group structure, when facing survival problem, it can adjust operation strategy by adding deceptions with innocuous effect to players’ motivation to cut operational cost. Meanwhile, the research supplied supporting evidence saying leading companies in game industry should adjust its strategy, changing cognition to growth, reducing deception separation among players and operating from the industrial health perspective.


2020 ◽  
pp. 38-43
Author(s):  
Elizaveta Eduardovna Salmina ◽  
Marianna Valerievna Kashirina

The article is devoted to the study of industrial health hazards and their impact on employees of industrial enterprises. It also presents the share of industrial pathology, distribution of occupational diseases and intoxication cases depending on the impact of industrial health hazards. Measures for the prevention of occupational diseases were specified.


Author(s):  
Bugero N.V. ◽  
Aleksandrova S.M.

Foundries in manufacturing plants are characterized by hazardous working conditions. The paper makes an assessment of industrial health hazards, identifies groups of diseases dominant among the examined individuals. It is clear that gastrointestinal diseases make the largest percentage. The effect of destabilizing industrial factors that lead to the intestinal biome restructuring, help reduce the dominant microorganism’s group and increase opportunistic flora has been determined. The severity of this indicator correlates with professional working experience. Along with the fecal matter bacterial flora of the examined people, the protozoa that belong to the parasitic group (blastocysts, lamblia, amoeba) were identified, and Blastocystis spp. has the largest proportion. The biological properties of blastocysts were studied exemplified by anticarnosine activity (AcrA), which allows them to colonize the intestinal mucous membranes and helps displace obligate symbiotes against the decrease in the overall resistance of the macroorganism. The data obtained make it possible to forecast human health state under the conditions of anthropogenic-disturbed territories and plan measures to improve and protect workers’ health.


Author(s):  
Ishan Bhatt ◽  
Shweta Yadav

In the last few decades, our population has grown at a tremendous rate. This unsustainably high rate of growth becomes a major issue for healthcare centers. Not only are they already quite limited in numbers, but their own rate of growth is nowhere close to the population growth rate. Thus, due to these mentioned factors, there now exists a tremendous demand for Industrial health IoT services post COVID 19 outbreaks. These services involve a patient getting treatment within the comfort of their own home environment. To do this, an existing healthcare center can very well be transformed into an Industrial health IoT service center. This can be achieved with the help of various emerging, modern technologies such as IoT, which stands for 'Internet of Things'. This model is based upon the overall health of a patient and involves realizing symptoms with the help of mobile devices and multichannel technology. The main idea behind this project is to introduce a set of systems to support a patient and his/her family. Thus, we can increase the independence of a patient, and can provide a lot of support to families of critically-ill patients. These systems are skilled enough to understand various changes in bodily functions and can easily relate them to various diseases. They can also prescribe medications accordingly and automatically.


Author(s):  
Abbas BAHRAMI ◽  
Mohammad Hossein MEMARI NASHLJI ◽  
Habibollah RAHIMI ◽  
Reihaneh GHORBANI POUR

Introduction: Since proper performance of occupational health experts working in industries can reduce accidents and occupational diseases, this study done for this purpose to evaluate the performance of  Kashan   industries occupational health experts to identify their weaknesses and strengths. Methods: This descriptive-analytical study done on all 60 occupational health experts in Kashan in 2019. The Ministry of Health checklist was used after applying the weight and calculating the incompatibility rate using AHP method. Data were analyzed by SPSS 21 software. Results: Performance evaluation of occupational health experts with the checklist indicated that the best performance was related to the public activity item and the poorest performance to the occupational health item. The average score of total occupational health experts was 73.76. The results of linear regression analysis showed that there was a significant relationship between work experience, education and employment status with total  score of industrial health experts (P <0.05). Conclusion: Due to this in this study have been evaluated and prioritized 48 sub- items the performance of kashan industries occupational health experts, So it is suggested that officials to consider in health interventions these priorities.


Author(s):  
W.M. Dixon

This series provides a selection of articles from the past. In Fifty years ago: ‘The first group occupational health service in Scotland’ W. M. Dixon briefly explores the development of occupational/industrial health services in Scotland, in 1960s Dundee.


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