scholarly journals Reject rate analysis in digital radiography: an Australian emergency imaging department case study

2019 ◽  
Vol 67 (1) ◽  
pp. 72-79 ◽  
Author(s):  
Samantha Atkinson ◽  
Michael Neep ◽  
Deborah Starkey
Keyword(s):  
Digital Radiography ◽  
Rate Analysis ◽  
Imaging Department ◽  
Emergency Imaging

scholarly journals An Optimization based on Simulation Approach to the Patient Admission Scheduling Problem: Diagnostic Imaging Department Case Study

2013 ◽  
Vol 27 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Conceição Granja ◽  
Bernardo Almada-Lobo ◽  
Filipe Janela ◽  
João Seabra ◽  
Adélio Mendes
Keyword(s):  
Diagnostic Imaging ◽  
Patient Admission ◽  
Scheduling Problem ◽  
Simulation Approach ◽  
Imaging Department

scholarly journals Medical physics 3.0 versus 1.0: A case study in digital radiography quality control

2018 ◽  
Vol 19 (5) ◽  
pp. 694-707
Author(s):  
Diana E. Carver ◽  
Charles E. Willis ◽  
Paul J. Stauduhar ◽  
Thomas K. Nishino ◽  
Jered R. Wells ◽  
...  
Keyword(s):  
Quality Control ◽  
Digital Radiography ◽  
Medical Physics

scholarly journals The Exchange Rate Analysis of Fish Cultivators (A Case Study in Bayongbong Garut Indonesia)

2021 ◽  
pp. 36-48
Author(s):  
Iwang Gumilar ◽  
Riandini Nur Syifa ◽  
. Rosidah ◽  
Asep Agus Handaka Suryana
Keyword(s):  
Exchange Rate ◽  
Work Experience ◽  
Production Cost ◽  
Secondary Data ◽  
Household Consumption ◽  
Primary Data ◽  
Case Study Method ◽  
Rate Analysis ◽  
The Exchange Rate

The purpose of this study is to analyze 1) the exchange rate of fish cultivators (NTPI) in Garut Regency, and 2) the factors that affect the NTPI in Garut Regency. A case study method including both primary and secondary data was used in the study. Primary data were generated from the interviews with respondents. Secondary data were obtained from the relevant agencies. This study used 45 respondents as research sample based on the purposive sampling. The data analysis used is NTPI and multiple linear regression. The results obtained in this research are the average NTPI in Bayongbong Subdistrict, which is 116%, explaining that fish cultivators' expenditures on household consumption and production cost are lower than their income. So it can be concluded that fish cultivators in Bayongbong Subdistrict are prosperous cultivators. Factors that can affect NTPI are age, education level, work experience, number of family members, income, and expenditure.

scholarly journals Failure rate analysis of Jaw Crusher: a case study

Sadhana ◽  
2019 ◽  
Vol 44 (1) ◽  
Author(s):  
R S Sinha ◽  
A K Mukhopadhyay
Keyword(s):  
Failure Rate ◽  
Jaw Crusher ◽  
Rate Analysis

scholarly journals Case Study: Soft Error Rate Analysis in Storage Systems

2007 ◽  
Author(s):  
Brian Mullins ◽  
Hossein Asadi ◽  
Mehdi B. Tahoori ◽  
David Kaeli ◽  
Kevin Granlund ◽  
...  
Keyword(s):  
Error Rate ◽  
Storage Systems ◽  
Soft Error ◽  
Soft Error Rate ◽  
Rate Analysis

scholarly journals A Case Study of Bank Accounting Practices on Reserves for Impairment of Credit Deduction

2018 ◽  
Vol 20 (3) ◽  
Author(s):  
Nanang Shonhadji
Keyword(s):  
Professional Organizations ◽  
Actual Condition ◽  
Sources Of Information ◽  
Analysis Model ◽  
Accounting Practice ◽  
Rate Analysis ◽  
Value Loss ◽  
Roll Rate ◽  
Credit Data

The objectivity of the customers' feasibility is biased with the interest of the targeted credit that they are assigned to achieve. In addition, it remains an obstacle forsmall and medium class banks to be dependant on the long historical credit data of each customer to determine the credit-value loss (CKPN).  This study uses a method of a qualitative case study with structured stages for determining the formation of credit-value loss (CKPN) with creditrisk+ model. The purpose of this study is to reveal the accounting practice of establishing CKPN with creditrisk+ model. The results show that the ATMR method caused BPR banks to provide a very large recovery fund when compared with CreditRisk+ method. Other findings reveal that the approach of ATMR is not maximized in producing accurate measure of credit risk and in accordance with the actual condition. This study contributes to providing an alternative to the determination of CKPN in addition to using ATMR and roll rate analysis model by the banks. For the regulators and professional organizations of the Indonesian Institute of Accountants, they can use it as sources of information to evaluate the application of PSAK 55, especially in determining the CKPN. 

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