Results 1 to 10 of about 9,263,508 (188)

Factors associated with cleaning quality of reusable medical devices at a single center in China [PDF]

open access: yesHeliyon
Background: Improper cleaning is one of the main causes of sub-optimal levels of sterilization, and also a risk factor in terms of nosocomial infections.
Juanli Huang   +3 more
doaj   +5 more sources

An investigation into cleaning quality of suction-type metal lumen instruments: a cross-sectional study [PDF]

open access: yesScientific Reports
The highest unqualified cleaning rate of suction-type lumen instruments is a major challenge for a central sterile supply department (CSSD). However, A few comprehensive studies have analyzed the main factors affecting cleaning quality. In response, this
Yuqi Wu, Li Li
doaj   +4 more sources

Role of cleaning quality traceability in hospital sterilization centers [PDF]

open access: yesFrontiers in Medicine
BackgroundHospital-acquired infections (HAIs) significantly affect patient morbidity, mortality, and healthcare costs. Sterilization and supply centers (SSCs) are crucial in preventing these infections.
Wenli Zhang
doaj   +4 more sources

Multi-Objective Optimization of Laser Cleaning Quality of Q390 Steel Rust Layer Based on Response Surface Methodology and NSGA-II Algorithm. [PDF]

open access: yesMaterials (Basel)
To improve the laser cleaning surface quality of rust layers in Q390 steel, a method of determining the optimal cleaning parameters is proposed that is based on response surface methodology and the second-generation non-dominated sorting genetic ...
Wang G   +5 more
europepmc   +2 more sources

Evaluation of environmental cleaning quality: an observational study at a tertiary hospital in Wuhan, China

open access: yesJournal of Infection in Developing Countries, 2021
Introduction: The COVID-19 pandemic highlights the role of environmental cleaning in controlling infection transmission in hospitals. However, cleaning practice remains inadequate.
Qiuxia Yang   +3 more
doaj   +2 more sources

[Effect of Pulsating Vacuum Cleaning Sterilizer on the Cleaning Quality of Dental Handpieces]. [PDF]

open access: yesSichuan Da Xue Xue Bao Yi Xue Ban, 2023
To explore the effect of pulsating vacuum cleaning sterilizer on the cleaning quality of dental handpieces.A total of 390 newly-purchased high-speed dental handpieces were covered in the study. By the random number table method, the handpieces were divided into three groups that were cleaned by different methods-Group A ( n=130), pulsating vacuum ...
Liu M, Xie W, Song S, Wang Y, Lu Z.
europepmc   +3 more sources

Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle

open access: yesSensors, 2021
Water is one of the most precious resources. However, industrial development has made water pollution a critical problem today and thus water quality monitoring and surface cleaning are essential for water resource protection. In this study, we have used
Hsing-Cheng Chang   +2 more
exaly   +2 more sources

Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses [PDF]

open access: yesIEEE Transactions on Dependable and Secure Computing, 2020
Vulnerability databases are vital sources of information on emergent software security concerns. Security professionals, from system administrators to developers to researchers, heavily depend on these databases to track vulnerabilities and analyze ...
Afsah Anwar   +4 more
semanticscholar   +4 more sources

How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning

open access: yesSymmetry, 2018
Today, data availability has gone from scarce to superabundant. Technologies like IoT, trends in social media and the capabilities of smart-phones are producing and digitizing lots of data that was previously unavailable.
Agapito Ismael Ledezma   +2 more
exaly   +2 more sources

Data cleaning for clinician researchers: Application and explanation of a data-quality framework

open access: yesAustralian Critical Care
BACKGROUND Data cleaning is the series of procedures performed before a formal statistical analysis, with the aim of reducing the number of error values in a dataset and improving the overall quality of subsequent analyses.
Julia K Pilowsky   +2 more
exaly   +2 more sources

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