Fatal work-related injuries in the U.S. chemical industry 1984–89

1996 ◽  
Vol 68 (6) ◽  
pp. 425-428 ◽  
Author(s):  
Anthony Suruda ◽  
David Wallace
Keyword(s):  
Chemical Industry ◽  
Work Related ◽  
The U.S

scholarly journals Determinants of Workforce Preparedness during Pandemics Among Healthcare Workers at the U.S. Department of Veterans Affairs

2021 ◽  
Vol 12 ◽  
pp. 215013272110047
Author(s):  
Michelle D. Balut ◽  
Claudia Der-Martirosian ◽  
Aram Dobalian
Keyword(s):  
Veterans Affairs ◽  
Clinical Staff ◽  
Department Of Veterans Affairs ◽  
Care Needs ◽  
Multivariate Statistical ◽  
Work Related ◽  
Workforce Preparedness ◽  
Household Preparedness ◽  
The U.S ◽  
Relevant Factors

Objective: An infectious disease outbreak can place a significant burden on healthcare systems, however, our understanding of the broader healthcare workforce’s preparedness during a pandemic is limited. This study examines factors that influence perceived workforce preparedness at the U.S. Department of Veterans Affairs (VA) during a pandemic. Methods: The VA Preparedness Survey was a random, anonymous, web-based survey fielded nationwide October to December 2018. Multivariate statistical analyses examined the effects of study relevant factors (sociodemographic, work-related, general health, and household-related characteristics of VA employees) on perceptions of workforce preparedness, including institutional readiness and understanding of individual roles during a pandemic. Results: Four thousand and twenty-six VA employees responded. Overall, 55% were confident in their VA medical facility’s ability to respond; 49% understood their role; and 68% reported their role to be important during a pandemic. After controlling for study-relevant factors, household preparedness, having plans that address the health care needs of family members, and higher self-reported health status were associated with all 3 workforce preparedness variables. Clinical staff (compared to non-clinical staff) were less likely (OR:0.80, 95% CI:0.68-0.94, P < .01) to have confidence in their medical facility’s ability to respond but more likely (OR:1.77, 95% CI:1.49-2.10, P < .001) to believe their role was important. Employees who have been at the VA longer (OR:1.07, 95% CI:1.01-1.14, P < .05) or have experienced a disaster while working at the VA (OR:1.29, 95% CI:1.04-1.59, P < .05) were more likely to understand their role during a pandemic. Conclusion: The findings from this study suggest the need for identifying ways to increase VA employees’ confidence in their medical facility’s ability to respond to a pandemic; develop trainings to improve understanding of their different yet critical roles, for both clinical and non-clinical staff, during a pandemic; create different workforce trainings for newly hired employees; and identify ways to improve household preparedness for a pandemic outbreak.

Accident Epidemiology and the U.S. Chemical Industry: Accident History and Worst-Case Data from RMP*Info

Risk Analysis ◽  
2003 ◽  
Vol 23 (5) ◽  
pp. 865-881 ◽  
Author(s):  
Paul R. Kleindorfer ◽  
James C. Belke ◽  
Michael R. Elliott ◽  
Kiwan Lee ◽  
Robert A. Lowe ◽  
...  
Keyword(s):  
Chemical Industry ◽  
Worst Case ◽  
Case Data ◽  
The U.S

Energy Process-Step Model of Hydrogen Production in the US Chemical Industry

2008 ◽  
Author(s):  
Nesrin Ozalp
Keyword(s):  
Hydrogen Production ◽  
Chemical Industry ◽  
Steam Injection ◽  
Process Step ◽  
Energy Process ◽  
Flow Models ◽  
Combustion Gases ◽  
Step Model ◽  
Energy Consuming ◽  
The U.S

This paper gives a representative energy process-step model of hydrogen production in the U.S. Chemical Industry based on federal data. There have been prior efforts to create energy process-step models for other industries. However, among all manufacturing industries, creating energy flow models for the U.S. Chemical Industry is the most challenging one due to the complexity of this industry. This paper gives concise comparison of earlier studies and provides thorough description of the methodology to develop energy process-step model for hydrogen production in the U.S. Chemical Industry. Results of the energy process-step model of hydrogen production in the U.S. Chemical Industry show that steam allocations among the end-uses are: 68% to process cooling (steam injection to product combustion gases), 25% to process heating, and 7% to other process use (CO2 converter). The model also shows that the major energy consuming step in hydrogen production is the reformer, which consumes approximately 16 PJ fuel. During the course of this study, the most recent U.S. federal energy database available was for the year 1998. Currently, the most recent available U.S. federal energy database is given for the year 2002 based on the data collected from 15,500 establishments.

Utilization of Heat, Power and Recovered Waste Heat for Industrial Processes in the US Chemical Industry

2008 ◽  
Author(s):  
Nesrin Ozalp
Keyword(s):  
Energy Consumption ◽  
Chemical Industry ◽  
Waste Heat ◽  
Energy Information Administration ◽  
Steam Generation ◽  
Process Step ◽  
End Use ◽  
Energy Information ◽  
The U.S ◽  
End Uses

This paper presents energy end-use model of the U.S. Chemical Industry. The model allocates combustible fuel and renewable energy inputs among generic end-uses including intermediate conversions through onsite power and steam generation. Results of this model provide the basis to scale energy process-step models. Two federal databases used to construct energy end-use models are Manufacturing Energy Consumption Survey of the U.S. Energy Information Administration, and the Energy Information Administration’s “EIA-860B: Annual Electric Generator Report”. These databases provide information on energy consumption for each end-use, electricity generation, and recovered waste heat at the prime mover level of detail for each industry on a national scale. Results of the model show that the majority of the fuel input is used directly for the end-uses. Although the rest of the fuel is used to generate steam and power, most of this energy contributes to the end-uses as steam. Therefore, the purpose of fuel consumption at non-utility plants is to run their end-uses. During the course of this study, the most recent U.S. federal energy database available was for the year 1998. Currently, the most recent available U.S. federal energy database is given for the year 2002 based on the data collected from 15,500 establishments.

Managing Generational Diversity

2020 ◽  
pp. 127-141
Author(s):  
Martin Klaffke
Keyword(s):  
Organizational Performance ◽  
Generation Y ◽  
Negative Impact ◽  
Age Groups ◽  
Generational Diversity ◽  
Work Related ◽  
Attitudes And Behaviors ◽  
Labor Legislation ◽  
Media Pressure ◽  
The U.S

Germany is undergoing a dramatic demographic change that requires its organizations to make workforce talent of all ages a strategic priority. Practitioners in Germany focus largely on Generation Y employees, because this young employee cohort expresses new and different work-related values. However, diverse attitudes and behaviors of employees in different age groups can potentially lead to conflict and have an overall negative impact on organizational performance. Given US labor legislation and media pressure, managing workforce diversity has been on the agenda of U.S. organizations for many years. Consequently, it can be assumed that there are areas in which German organizations can learn best practices from the U.S. experience. Although data collected from Silicon Valley organizations suggest that taking specific action for managing the multi-generational workforce is currently not a pressing issue in the tech industry, setting up innovative workplaces is an action field in which Germany can learn from its U.S. counterparts.

Work

The Age of Em ◽  
2016 ◽  
Author(s):  
Robin Hanson
Keyword(s):  
Working Conditions ◽  
Gender Imbalance ◽  
Work Time ◽  
Work Related ◽  
Course Work ◽  
Labor Statistics ◽  
Selection For ◽  
Watching Tv ◽  
Bureau Of Labor Statistics ◽  
The U.S

Today, successful people in very competitive jobs, professions, and industries often work a great many hours per week. This makes it plausible that selection for em productivity will produce a world of ems who are also very hard-working, even “workaholic,” perhaps working two-thirds or more of their waking hours, or 12 hours or more per day. Today, people who are seen as “workaholics” tend to make more money, to be male, and to focus their socializing on scheduled times such as holidays. They also tend rise early to work alone and they often use stimulants ( Kemeny 2002 ; Currey 2013 ). These patterns weakly suggest that ems will also tend to be early rising males who use simulating mental tweaks and socialize more at standard scheduled events. (How an em world might deal with unequal numbers of males versus females is discussed in Chapter 23 , Gender Imbalance section.) In the U.S. today, people aged 15 and older do work and “work-related activities” an average of 25 hours per week. They also spend 3 hours on school, 12 hours on housework, and 20 hours watching TV ( Bureau of Labor Statistics 2013 ). However, from around 1820 to 1850 in the U.S., France, and Germany, men worked at jobs an average of 68 to 75 hours per week ( Voth 2003 ). For ems, work levels might return these 1820 to 1850 levels, or even exceed them. Of course “work” time includes gossip, news-following, and unstructured exploration to the extent that these activities are productive enough for work purposes. In addition to working more hours, em workers are likely to accept less pleasant working conditions, if such conditions are substantially more productive. during the industrial era, we have spent much of our increasing wealth on more pleasant working conditions, as well as on more consumption variety and on working fewer hours. poorer and more competitive ems are likely to reverse these trends, and accept more workplace drudgery. It is not clear, however, how much productive drudgery exists in the em world.

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