The infrared spectrum (IR) characteristic peaks of amide I, amide II, and amide III bands are marked as amide or peptide characteristic peaks. Through the nuclear magnetic resonance study, N-methylacetamide has been determined to have six fine components, which include protonation, hydration, and hydroxy structures. Then the independent IR spectrum of every component in Nmethylacetamide is calculated by using the density functional theory quantum chemistry method, and the contribution of each component to amide I, II, and III bands is analyzed. The results of this research can help to explain the formation of the amide infrared spectrum, which has positive significance in organic chemistry, analytical chemistry, and chemical biology.

Background The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks. Objective The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective. Methods In this study, we collected health information technology–related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology–related measures and methods. Results Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19. Conclusions Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic.

This study explored what motivated 6 Chinese international students to complete a PhD in science, technology, engineering, and math fields in the United States despite perceived dissatisfaction. This study was grounded in the value-expectancy achievement motivation theory and incorporated a Confucian cultural lens to understand motivation. Four motivations emerged: (a) intrinsic interest in research, (b) overly broad and optimistic view of American doctoral education, (c) high utility value of a PhD in obtaining permanent residence, and (d) high social cost of quitting. Confucian cultural beliefs in malleability, the importance of effort, interdependent self, and filial piety shaped these motivations. Scholarly and practical implications are provided.

This study explores what motivates 19 international students to pursue a Ph.D. at a public research university in the U.S. and, more importantly, what motivates them to persist despite unsatisfying socialization. Based on value-expectancy achievement motivation theory, four motivations emerged: intrinsic interest in research, intrinsic interest in teaching, high utility of a U.S.-earned Ph.D., and high emotional and social cost of quitting. As students' educational experiences unfolded, the influence of these motivations changed over time. Findings and implications are discussed in connection with the achievement motivation theory and the literature on international student mobility. Implication for future research is also provided.

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