Predicting protected steel member fire endurance using spread-sheet programs

1989 ◽  
Vol 25 (3) ◽  
pp. 256-273 ◽  
Author(s):  
William L. Gamble
Keyword(s):  
2015 ◽  
Vol 10 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Timothy C. Hinson ◽  
Lorraine S. Lee ◽  
David C. Hayes

ABSTRACT The concepts of billable hours and tracking time are a reality in public accounting. The purpose of this case is to educate students on the concept of billable hours and to improve the student's Excel skills through the development of a spreadsheet to track their time. Students were required to create the time-tracking Excel spread-sheet and to track all (personal and school-related) of their time for two weeks. Students were given pre/post tests and surveys and the results reflect that students significantly increased their performance in intermediate and advanced Excel skills, billable hours concepts and realize the difficulty in tracking time. Even though the students acknowledged the difficulty in tracking time, they did enjoy learning more about billable hours that they may encounter in their future professions.


2012 ◽  
Vol 50 (4) ◽  
pp. 1141-1154 ◽  
Author(s):  
Shahram Taj ◽  
Galia Novakova Nedeltcheva ◽  
George Pfeil ◽  
Michael Roumaya

2020 ◽  
Vol 13 (1) ◽  
pp. 582-594
Author(s):  
Madimetja Nyaloko ◽  
Welma Lubbe ◽  
Karin Minnie

Background: Mothers experience significant barriers to breastfeed in public spaces, which could result in a detrimental impact on the World Health Organization’s recommendation of exclusive breastfeeding. Failure to support and accept breastfeeding in public spaces could lead to mixed feeding or even abandonment of breastfeeding. Objective: The current study aimed to identify the knowledge of breastfeeding benefits and perceptions about it among mothers and community members in Alexandra, Gauteng Province, South Africa. Methods: A quantitative, non-experimental descriptive study was deployed using two structured questionnaires, which were distributed among mothers (n=96) and community members (n=96). All 192 questionnaires were completed and returned, although two questionnaires of mothers could not be used due to incompleteness. An excel spread sheet and Statistical Package for Social Sciences version 25 was used to analyze the data. Results: The findings of the current study revealed a positive correlation between the knowledge level about breastfeeding benefits [infants (r=0.45, p≤0.000) and mothers (r=0.29, p≤0.000)] and perceptions in public spaces. Community members and mothers who were knowledgeable regarding breastfeeding benefits exhibited supportive attitudes towards breastfeeding in public spaces. Conclusion: Altogether, the majority of mothers (69%) were comfortable to breastfeed in public spaces, and community members (84%) were supportive. Limited knowledge of breastfeeding benefits was associated with unsupportive attitudes towards breastfeeding in public spaces. Health messages that target these factors are essential to encourage support and acceptance of breastfeeding in public spaces. This could be executed through public education via posters in public spaces and during community health outreaches.


2021 ◽  
Author(s):  
Daniel Ikechukwu Egu ◽  
Anthony John Ilozobhie

Abstract Attrition and paroxysm of highly inflammable petroleum products in storage tanks, pipelines and/or haulage trucks is increasingly becoming a scourging socio-environmental quandary with a detrimental effect on the Nigerian economy. Non availability of a holistic response time analytic master plan is a major enigma while industrial disaster managers perhaps are the major culprits since they are mostly not time cognizant for spry and pragmatic delivery of service. The aim of this exposition is to ruminatively carry out cerebral chronological corollary perusal for blitzing fire paroxysms and pipeline attrition in Nigeria on Microsoft excel spread sheet. Comprehensive data validation was done for all models by substituting all solutions of matrix into the predicted time response model. Results of predicted time response model in minutes for case A gave; 101x1 + 79x2 + 59x3 + 45x4 + 24x5 = 358. The predicted time response model for case B gave 78x1 + 56x2 + 43x3 + 30x4 + 13x5 = 260. The predicted time response model for case C gave; 74x1 + 56x2 + 42x3 + 29x4 + 10x5 = 252. Results of these models shows that the average cumulative response time dropped from 3.58 minutes to 2.52 minutes from case A to case C while the coefficients all reduced in their values from model A to C. Improving the source of data gathering and computational processes is recommended for enhancement of this study.


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