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Potential of Duckweed (Lemna minor) for the Phytoremediation of Landfill Leachate
Published 2018-01-01Get full text
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Dupilumab for treatment of primary cutaneous amyloidosis in adults: two case reports and literature review
Published 2025-02-01Get full text
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Low-threshold dual-polarization electro-optic nonlinear activation functions
Published 2025-01-01Get full text
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Chinese nurses’ perspectives on child-friendly healthcare practice assessment: a qualitative study
Published 2025-02-01Get full text
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A machine learning based algorithm accurately stages liver disease by quantification of arteries
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Navigating the future: unveiling new facets of nurse work engagement
Published 2025-01-01“…Methods A cross-sectional descriptive study involving 778 registered nurses from six tertiary hospitals in Hangzhou, China, was conducted. Data were collected using multiple tools, including a demographic questionnaire, the CWEQ-II (Conditions for Work Effectiveness Questionnaire II), the PCQ (Psychological Capital Questionnaire), and the UWES-9 (Utrecht Work Engagement Scale-9). …”
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Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss
Published 2020-01-01Get full text
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Impact of Implementing the Lean Management on Internal Errors at an Outpatient Hospital Pharmacy in China
Published 2025-01-01“…Lisong Lv, Yi Yao, Mingwan Zhang, Chuanwei Xin Department of Pharmacy, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, People’s Republic of ChinaCorrespondence: Chuanwei Xin, Department of Pharmacy, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Xihu District, Hangzhou, 310012, People’s Republic of China, Tel +8657189972240, Fax +8657189972242, Email xcw373@163.comPurpose: The purpose of this study was to explore the lean management strategies used by an outpatient hospital pharmacy in China to reduce internal errors in prescription dispense and to describe their impact on patient satisfaction.Methods: The type and number of internal errors in prescription dispense from January 1, 2022, to December 31, 2022, were collected. …”
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Disease prediction by network information gain on a single sample basis
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