Results 261 to 270 of about 1,573,721 (312)
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat +7 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu +10 more
wiley +1 more source
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Annals of Internal Medicine, 2013
Can patient-centeredness and quality measures coexist? As we strive to protect our patients, do we also dehumanize them?
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Can patient-centeredness and quality measures coexist? As we strive to protect our patients, do we also dehumanize them?
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International Journal of Health Care Quality Assurance, 1994
Outlines the introduction of a “quality costing” perspective into quality improvement of priority services. Illustrates cash‐releasing and non‐cash releasing opportunities.
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Outlines the introduction of a “quality costing” perspective into quality improvement of priority services. Illustrates cash‐releasing and non‐cash releasing opportunities.
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JAMA: The Journal of the American Medical Association, 1978
The article by Herman A. Hein, MD, (p 2051) regarding quality and cost of perinatal care in small rural hospitals raises many health-planning issues that are pertinent to current medical and human priorities in perinatal care. First, a firm definition of "quality" is elusive, and Dr Hein may have been enthusiastic in his selected title.
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The article by Herman A. Hein, MD, (p 2051) regarding quality and cost of perinatal care in small rural hospitals raises many health-planning issues that are pertinent to current medical and human priorities in perinatal care. First, a firm definition of "quality" is elusive, and Dr Hein may have been enthusiastic in his selected title.
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IEEE Journal on Selected Areas in Communications, 1990
The costs of quality for software, a methodology for the collection of costs, and how the costs of quality can be used to point the way toward quality improvement and significant cost reductions are discussed. Root cause analysis and corrective action using software costs of quality are described.
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The costs of quality for software, a methodology for the collection of costs, and how the costs of quality can be used to point the way toward quality improvement and significant cost reductions are discussed. Root cause analysis and corrective action using software costs of quality are described.
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The Cost of Quality in Diabetes
2017The adoption and use of Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) is continuing to rise in North America. These systems contain data of varying degrees of quality, including poor quality or “dirty” data.
Ahmad Ghany, Karim Keshavjee
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AGILE 2006 (AGILE'06), 2006
Using data from more than 80 development projects, this paper attempts to answer the question: how much effort should be invested into code quality? It is shown that a "quick and dirty" approach is actually preferable in some situations. Volatility of requirements, expected breadth of usage, customers' defect tolerance, cost of defect fixing and system
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Using data from more than 80 development projects, this paper attempts to answer the question: how much effort should be invested into code quality? It is shown that a "quick and dirty" approach is actually preferable in some situations. Volatility of requirements, expected breadth of usage, customers' defect tolerance, cost of defect fixing and system
openaire +1 more source

