The Experts below are selected from a list of 202329 Experts worldwide ranked by ideXlab platform
Adriana Maria Rios Rincon - One of the best experts on this subject based on the ideXlab platform.
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the effects of asset specificity on maintenance financial performance an empirical application of transaction cost theory to the medical device maintenance field
European Journal of Operational Research, 2014Co-Authors: Antonio Miguel Cruz, Gregory L. Haugan, Adriana Maria Rios RinconAbstract:This study uses Multivariate Regression Analysis to examine the effects of asset specificity on the financial performance of both external and internal governance structures for medical device maintenance, and investigates how the financial performance of external governance structures differs depending on whether a hospital is private or public. The hypotheses were tested using information on 764 medical devices and 62 maintenance service providers, resulting in 1403 maintenance transactions. As such, our data sample is significantly larger than those used in previous studies in this area. The results empirically support our core theoretical argument that governance financial performance is influenced by assets specificity.
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The effects of asset specificity on maintenance financial performance: An empirical application of Transaction Cost Theory to the medical device maintenance field
European Journal of Operational Research, 2014Co-Authors: Antonio Miguel Cruz, Gregory L. Haugan, Adriana Maria Rios RinconAbstract:This study uses Multivariate Regression Analysis to examine the effects of asset specificity on the financial performance of both external and internal governance structures for medical device maintenance, and investigates how the financial performance of external governance structures differs depending on whether a hospital is private or public. The hypotheses were tested using information on 764 medical devices and 62 maintenance service providers, resulting in 1403 maintenance transactions. As such, our data sample is significantly larger than those used in previous studies in this area. The results empirically support our core theoretical argument that governance financial performance is influenced by assets specificity. © 2014 Elsevier B.V. All rights reserved.
Antonio Miguel Cruz - One of the best experts on this subject based on the ideXlab platform.
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Determinants in the number of staff in hospitals’ maintenance departments: a Multivariate Regression Analysis approach
Journal of Medical Engineering & Technology, 2016Co-Authors: Antonio Miguel Cruz, Mayra R. GuarínAbstract:AbstractTo date, there are no broadly accepted or accurate models to determine appropriate staffing [levels] for clinical engineering departments (CEDs). The purpose of this study is to determine what the determinants of the staffing levels are (total number of full time equivalents (FTEs)) in CEDs in healthcare organisations. In doing so, we used a cross-sectional exploratory approach by using a Multivariate Regression model over a secondary source of data information from the AAMI Benchmarking Solutions—Healthcare Technology Management database. Two hundred and one healthcare organisations were included in our study. Our study revealed that on average, there are almost 14 biomedical technicians (BMETs) per clinical engineer and one FTE per 1083.72 devices (SD 545.69). The results of this study also revealed that the total number of devices and the total technology management hours devoted to these devices positively affects the number of FTEs in a CED, whereas the hospital complexity, measured by health...
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the effects of asset specificity on maintenance financial performance an empirical application of transaction cost theory to the medical device maintenance field
European Journal of Operational Research, 2014Co-Authors: Antonio Miguel Cruz, Gregory L. Haugan, Adriana Maria Rios RinconAbstract:This study uses Multivariate Regression Analysis to examine the effects of asset specificity on the financial performance of both external and internal governance structures for medical device maintenance, and investigates how the financial performance of external governance structures differs depending on whether a hospital is private or public. The hypotheses were tested using information on 764 medical devices and 62 maintenance service providers, resulting in 1403 maintenance transactions. As such, our data sample is significantly larger than those used in previous studies in this area. The results empirically support our core theoretical argument that governance financial performance is influenced by assets specificity.
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The effects of asset specificity on maintenance financial performance: An empirical application of Transaction Cost Theory to the medical device maintenance field
European Journal of Operational Research, 2014Co-Authors: Antonio Miguel Cruz, Gregory L. Haugan, Adriana Maria Rios RinconAbstract:This study uses Multivariate Regression Analysis to examine the effects of asset specificity on the financial performance of both external and internal governance structures for medical device maintenance, and investigates how the financial performance of external governance structures differs depending on whether a hospital is private or public. The hypotheses were tested using information on 764 medical devices and 62 maintenance service providers, resulting in 1403 maintenance transactions. As such, our data sample is significantly larger than those used in previous studies in this area. The results empirically support our core theoretical argument that governance financial performance is influenced by assets specificity. © 2014 Elsevier B.V. All rights reserved.
Hiroyuki Yoshitomi - One of the best experts on this subject based on the ideXlab platform.
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factors influencing spinal sagittal balance bone mineral density and oswestry disability index outcome measures in patients with rheumatoid arthritis
European Spine Journal, 2018Co-Authors: Kazutaka Masamoto, Bungo Otsuki, Shunsuke Fujibayashi, Koichiro Shima, Moritoshi Furu, Motomu Hashimoto, Masao Tanaka, Stephen Lyman, Hiroyuki Yoshitomi, Shimei TanidaAbstract:To identify the factors influencing spinal sagittal alignment, bone mineral density (BMD), and Oswestry Disability Index (ODI) outcome measures in patients with rheumatoid arthritis (RA). We enrolled 272 RA patients to identify the factors influencing sagittal vertical axis (SVA). Out of this, 220 had evaluation of bone mineral density (BMD) and vertebral deformity (VD) on the sagittal plane; 183 completed the ODI questionnaire. We collected data regarding RA-associated clinical parameters and standing lateral X-ray images via an ODI questionnaire from April to December 2012 at a single center. Patients with a history of spinal surgery or any missing clinical data were excluded. Clinical parameters included age, sex, body mass index, RA disease duration, disease activity score 28 erythrocyte sedimentation rate (DAS28-ESR), serum anti-cyclic citrullinated peptide antibody, serum rheumatoid factor, serum matrix metalloproteinase-3, BMD and treatment type at survey, such as methotrexate (MTX), biological disease-modifying anti-rheumatic drugs, and glucocorticoids. We measured radiological parameters including pelvic incidence (PI), lumbar lordosis (LL), and SVA. We statistically identified the factors influencing SVA, BMD, VD, and ODI using Multivariate Regression Analysis. Multivariate Regression Analysis showed that larger SVA correlated with older age, higher DAS28-ESR, MTX nonuse, and glucocorticoid use. Lower BMD was associated with female, older age, higher DAS28-ESR, and MTX nonuse. VD was associated with older age, longer disease duration, lower BMD, and glucocorticoid use. Worse ODI correlated with older age, larger PI-LL mismatch or larger SVA, higher DAS28-ESR, and glucocorticoid use. In managing low back pain and spinal sagittal alignment in RA patients, RA-related clinical factors and the treatment type should be taken into consideration.
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factors influencing spinal sagittal balance bone mineral density and oswestry disability index outcome measures in patients with rheumatoid arthritis
European Spine Journal, 2018Co-Authors: Kazutaka Masamoto, Bungo Otsuki, Shunsuke Fujibayashi, Koichiro Shima, Moritoshi Furu, Motomu Hashimoto, Masao Tanaka, Stephen Lyman, Hiromu Ito, Hiroyuki YoshitomiAbstract:To identify the factors influencing spinal sagittal alignment, bone mineral density (BMD), and Oswestry Disability Index (ODI) outcome measures in patients with rheumatoid arthritis (RA). We enrolled 272 RA patients to identify the factors influencing sagittal vertical axis (SVA). Out of this, 220 had evaluation of bone mineral density (BMD) and vertebral deformity (VD) on the sagittal plane; 183 completed the ODI questionnaire. We collected data regarding RA-associated clinical parameters and standing lateral X-ray images via an ODI questionnaire from April to December 2012 at a single center. Patients with a history of spinal surgery or any missing clinical data were excluded. Clinical parameters included age, sex, body mass index, RA disease duration, disease activity score 28 erythrocyte sedimentation rate (DAS28-ESR), serum anti-cyclic citrullinated peptide antibody, serum rheumatoid factor, serum matrix metalloproteinase-3, BMD and treatment type at survey, such as methotrexate (MTX), biological disease-modifying anti-rheumatic drugs, and glucocorticoids. We measured radiological parameters including pelvic incidence (PI), lumbar lordosis (LL), and SVA. We statistically identified the factors influencing SVA, BMD, VD, and ODI using Multivariate Regression Analysis. Multivariate Regression Analysis showed that larger SVA correlated with older age, higher DAS28-ESR, MTX nonuse, and glucocorticoid use. Lower BMD was associated with female, older age, higher DAS28-ESR, and MTX nonuse. VD was associated with older age, longer disease duration, lower BMD, and glucocorticoid use. Worse ODI correlated with older age, larger PI-LL mismatch or larger SVA, higher DAS28-ESR, and glucocorticoid use. In managing low back pain and spinal sagittal alignment in RA patients, RA-related clinical factors and the treatment type should be taken into consideration.
Kazutaka Masamoto - One of the best experts on this subject based on the ideXlab platform.
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factors influencing spinal sagittal balance bone mineral density and oswestry disability index outcome measures in patients with rheumatoid arthritis
European Spine Journal, 2018Co-Authors: Kazutaka Masamoto, Bungo Otsuki, Shunsuke Fujibayashi, Koichiro Shima, Moritoshi Furu, Motomu Hashimoto, Masao Tanaka, Stephen Lyman, Hiroyuki Yoshitomi, Shimei TanidaAbstract:To identify the factors influencing spinal sagittal alignment, bone mineral density (BMD), and Oswestry Disability Index (ODI) outcome measures in patients with rheumatoid arthritis (RA). We enrolled 272 RA patients to identify the factors influencing sagittal vertical axis (SVA). Out of this, 220 had evaluation of bone mineral density (BMD) and vertebral deformity (VD) on the sagittal plane; 183 completed the ODI questionnaire. We collected data regarding RA-associated clinical parameters and standing lateral X-ray images via an ODI questionnaire from April to December 2012 at a single center. Patients with a history of spinal surgery or any missing clinical data were excluded. Clinical parameters included age, sex, body mass index, RA disease duration, disease activity score 28 erythrocyte sedimentation rate (DAS28-ESR), serum anti-cyclic citrullinated peptide antibody, serum rheumatoid factor, serum matrix metalloproteinase-3, BMD and treatment type at survey, such as methotrexate (MTX), biological disease-modifying anti-rheumatic drugs, and glucocorticoids. We measured radiological parameters including pelvic incidence (PI), lumbar lordosis (LL), and SVA. We statistically identified the factors influencing SVA, BMD, VD, and ODI using Multivariate Regression Analysis. Multivariate Regression Analysis showed that larger SVA correlated with older age, higher DAS28-ESR, MTX nonuse, and glucocorticoid use. Lower BMD was associated with female, older age, higher DAS28-ESR, and MTX nonuse. VD was associated with older age, longer disease duration, lower BMD, and glucocorticoid use. Worse ODI correlated with older age, larger PI-LL mismatch or larger SVA, higher DAS28-ESR, and glucocorticoid use. In managing low back pain and spinal sagittal alignment in RA patients, RA-related clinical factors and the treatment type should be taken into consideration.
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factors influencing spinal sagittal balance bone mineral density and oswestry disability index outcome measures in patients with rheumatoid arthritis
European Spine Journal, 2018Co-Authors: Kazutaka Masamoto, Bungo Otsuki, Shunsuke Fujibayashi, Koichiro Shima, Moritoshi Furu, Motomu Hashimoto, Masao Tanaka, Stephen Lyman, Hiromu Ito, Hiroyuki YoshitomiAbstract:To identify the factors influencing spinal sagittal alignment, bone mineral density (BMD), and Oswestry Disability Index (ODI) outcome measures in patients with rheumatoid arthritis (RA). We enrolled 272 RA patients to identify the factors influencing sagittal vertical axis (SVA). Out of this, 220 had evaluation of bone mineral density (BMD) and vertebral deformity (VD) on the sagittal plane; 183 completed the ODI questionnaire. We collected data regarding RA-associated clinical parameters and standing lateral X-ray images via an ODI questionnaire from April to December 2012 at a single center. Patients with a history of spinal surgery or any missing clinical data were excluded. Clinical parameters included age, sex, body mass index, RA disease duration, disease activity score 28 erythrocyte sedimentation rate (DAS28-ESR), serum anti-cyclic citrullinated peptide antibody, serum rheumatoid factor, serum matrix metalloproteinase-3, BMD and treatment type at survey, such as methotrexate (MTX), biological disease-modifying anti-rheumatic drugs, and glucocorticoids. We measured radiological parameters including pelvic incidence (PI), lumbar lordosis (LL), and SVA. We statistically identified the factors influencing SVA, BMD, VD, and ODI using Multivariate Regression Analysis. Multivariate Regression Analysis showed that larger SVA correlated with older age, higher DAS28-ESR, MTX nonuse, and glucocorticoid use. Lower BMD was associated with female, older age, higher DAS28-ESR, and MTX nonuse. VD was associated with older age, longer disease duration, lower BMD, and glucocorticoid use. Worse ODI correlated with older age, larger PI-LL mismatch or larger SVA, higher DAS28-ESR, and glucocorticoid use. In managing low back pain and spinal sagittal alignment in RA patients, RA-related clinical factors and the treatment type should be taken into consideration.
Debashish Chakravarty - One of the best experts on this subject based on the ideXlab platform.
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design of crown pillar thickness using finite element method and Multivariate Regression Analysis
International journal of mining science and technology, 2017Co-Authors: Hemant Kumar, Debashish ChakravartyAbstract:Abstract Minerals are now being extracted from deep mines due to drying up of resource in shallow ground. The need for suitable supports and ground control mechanisms for safe mining necessitates proper pillar design with filling technology. In addition, high horizontal stress may cause collapse of hanging wall and footwall rocks, hence designing of suitable crown pillars is absolutely necessary for imposing overall safety of the stopes. This paper provides a methodology for the evaluation of the required thickness of crown pillars for safe operation at depth ranging from 600 m to 1000 m. Analyses are conducted with the results of 108 non-linear numerical models considering Drucker-Prager material model in plane strain condition. Material properties of ore body rock and thickness of crown pillars are varied and safety factors of pillars estimated. Then, a generalized statistical relationship between the safety factors of crown pillars with the various input parameters is developed. The developed Multivariate Regression model is utilized for generating design/stability charts of pillars for different geo-mining conditions. These design charts can be used for the design of crown pillar thickness with the depth of the working, taking into account the changes of the rock mass conditions in underground metal mine.
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Design of crown pillar thickness using finite element method and Multivariate Regression Analysis
Elsevier, 2017Co-Authors: Hemant Kumar, Debasis Deb, Debashish ChakravartyAbstract:Minerals are now being extracted from deep mines due to drying up of resource in shallow ground. The need for suitable supports and ground control mechanisms for safe mining necessitates proper pillar design with filling technology. In addition, high horizontal stress may cause collapse of hanging wall and footwall rocks, hence designing of suitable crown pillars is absolutely necessary for imposing overall safety of the stopes. This paper provides a methodology for the evaluation of the required thickness of crown pillars for safe operation at depth ranging from 600 m to 1000 m. Analyses are conducted with the results of 108 non-linear numerical models considering Drucker-Prager material model in plane strain condition. Material properties of ore body rock and thickness of crown pillars are varied and safety factors of pillars estimated. Then, a generalized statistical relationship between the safety factors of crown pillars with the various input parameters is developed. The developed Multivariate Regression model is utilized for generating design/stability charts of pillars for different geo-mining conditions. These design charts can be used for the design of crown pillar thickness with the depth of the working, taking into account the changes of the rock mass conditions in underground metal mine. Keywords: Cut and fill mining, Crown pillar, FEM, Regression model, Design char
