We have developed an experimental setup for optically monitoring a catalytically active surface under reaction conditions. A flow reactor with optical access allows us to image the behavior of an active catalyst surface down to the millimeter length scale. We use reflectance difference measurements with 625 nm light to investigate CO oxidation on Pd(100) at 300 mbar and 320 °C. We conclude that the changes in visible contrast result from the formation of an oxide layer after surface oxidation.
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J Eval Clin Pract
February 2025
Department of Midwifery, Faculty of Health Sciences, Biruni University, Istanbul, Türkiye.
Introduction: The sense of smell is one of the most developed and important senses that forms the bond between the newborn and the mother and allows the newborn to reach the mother's breast. The sense of smell begins to form during intrauterine life, and the sense of smell can be a marking tool for a newborn baby, so that the baby can recognize both his mother and his immediate environment and develop his behaviour accordingly. This is necessary not only for feeding babies but also for them to feel safe and peaceful in their new environment.
View Article and Find Full Text PDFNurs Educ Perspect
October 2024
About the Authors Judith Bacchus Cornelius, PhD, RN, FAAN, ANEF, is a professor, College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, North Carolina. Charlene Downing, PhD, RN, is a professor, Department of Nursing, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa. Adesola A. Ogunfowokan, PhD, RN, FWACN, is a professor, Community Health Nursing, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria. Nompumelelo Ntshingila, DCur(UJ), is an associate professor, Department of Nursing, Faculty of Health Sciences, University of Johannesburg. Florence Okoro, PhD, RN, is an associate professor, College of Health and Human Services, University of North Carolina at Charlotte. Ijeoma Enweana, DNP, RN, CVN, is adjunct nursing faculty, Presbyterian School of Nursing, Queens University of Charlotte, Charlotte, North Carolina. Oluwayemisi Olagunju, PhD, is senior lecturer, Department of Nursing Science, Obafemi Awolowo University. Funding was received from the University of North Carolina at Charlotte Global Learning and Internationalization Institute. For more information, contact Dr. Cornelius at
The COVID-19 pandemic presented opportunities for educational innovations and the development of intercultural learning experiences. A global health assignment guided by a collaborative online international learning pedagogy was assigned to doctoral nursing students from three different countries. Icebreaker activities, along with the Culturally You diagram, commenced the team-building process.
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December 2024
School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China.
Nighttime light data partially reflects the process of urban modernization and its reaction to urban scale, but its correlation with noise remains unclear, especially over a long-term time series, remains unclear. To address this gap, we examine 31 provincial capital cities and municipalities in China as the study area, utilizing noise monitoring data and nighttime light data to explore their relationship in urban areas from 2012 to 2021. The results show that: (1) During the study period, the regional environmental noise and night light index of 31 major cities exhibited a consistent upward trend, with the average equivalent sound level of environmental noise in most urban areas fluctuating between 50.
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December 2024
College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Resources and land carrying capacity are vital to the survival and development of human society and form the foundation for ensuring food security. However, evaluating land carrying capacity solely based on grain production is overly simplistic. A comprehensive assessment from the perspective of dietary nutrition is needed to more accurately reflect the actual carrying capacity of land.
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December 2024
Department of Computer Sciences and Industries, Universidad Católica del Maule, Talca, Chile.
Antimicrobial resistance (AMR) poses a significant global health challenge, necessitating advanced predictive models to support clinical decision-making. In this study, we explore multi-label classification as a novel approach to predict antibiotic resistance across four clinically relevant bacteria: E. coli, S.
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