103 research outputs found
Supplementary_Information - Ternary memory property of novel polyimide with backbone carbazole moiety and pendant triphenylamine moiety
Supplementary_Information for Ternary memory property of novel polyimide with backbone carbazole moiety and pendant triphenylamine moiety by Yanhua Yang, Pan Jin, Jinzhang Liu, Shijin Ding, Lin Chen, Yueying Chu, and Yingzhong Shen in High Performance Polymers</p
Acidic Strengths of Bronsted and Lewis Acid Sites in Solid Acids Scaled by (31)P NMR Chemical Shifts of Adsorbed Trimethylphosphine
Zhongguo dong nan yan hai di qu shi ben sheng chan xiao fei yu huan jing bian hua =: Environmental impacts on production and consumption of stone adzesin southeast China coastal region
M.Phil.In the period of the mid-Holocene, the weather became hominid and warm in Southeast China coastal region and became an ideal place to live. In response to the environmental change in mid-Holocene, human population increased, and resulted in massive demand for stone adzes. To fulfill the need of stone adze, large-scale stone adzes workshops were formed and the production scale of stone tools leaded to the change of society in Neolithic China.This paper applies the chaîne opératoire method to study stone adzes, workshops and related sites. Using three stone adze workshops as case study, chapter 4-6 will examine the production and consumption of stone adzes in the Southeast China region. Furthermore, chapter 7 will discuss how environmental impacts affect the production of stone adzes that these three workshops represent.全新世中期為大暖期之始,中國東南地區氣候變得濕熱,動植物資源因環境變遷而豐富,人類亦得以繁衍。由於人口增加的壓力,為應付居住、資源獲取等原因,石錛作為實用木的作工具亦需求大增。石錛需求的上升導致了專門化的石錛作坊出現,有系統的生產石大量石錛以應需求。本文套用「操作鏈」的思維模式分析三個全新世中期的石錛作坊的石錛生產情況。其中,章節4-6 以方家洲遺址、西樵山遺址和黃地峒遺址作個案分析,從石錛的原料採集,毛坯打制和磨制加工,再到石錛的使用和分佈,以觀察在全新世中期以後石錛生產專門化和消費之情況。最後,在章節7 討論環境變化對於東南沿海地區石錛生產消費的影響。羅月霙."2018年9月".Parallel title from English abstract.Thesis M.Phil. Chinese University of Hong Kong 2018.Includes bibliographical references (leaves 174-180).Abstracts in Chinese and English.Title from PDF title page (viewed on February 7, 2022).Luo Yueying
Aversion against ChatGPT?
This study will explore whether poems (including Chinese modern poems and classical poems) that are identified as being generated by ChatGPT receive less positive evaluations as compared to those identified as being created by humans or those being anonymous. We will conduct two 3 (attributed identities of authors: Human vs. ChatGPT vs. Anonymous) × 2 (real identities of authors: Human vs. ChatGPT) between-subject designs and use the online questionnaire method to examine the public's aversion
Large language models as a moral judge
This study will investigate the perspectives of large language models on traffic accidents. We will conduct a two-condition (agent: human/driver vs. machine/driverless car), between-subjects design. We will collect data through ChatGPT3.5 and GPT4
Large language models as a moral judge
This study will investigate the perspective of human participants and large language models on traffic accidents. We will conduct a two-condition (agent: human driver vs. fully automated vehicle), between-subjects design. Two types of responders—human participants and LLMs—will answer or generate responses
Implementation of multi - priority and variable - length DRRM scheduling algorithm based on FPGA
User Acceptance in mHealth industry : A quantitative study of mHealth application in China based on UTAUT2 Model
Background: The market of mHealth has been growing steadily over last years, but in China, the market is not very mature, and the low level of popularity negative impact on the development. But it should be noted that the market has great potential with positive development background, the policy support by government, the widely used of smartphone and the Internet and especially the huge demand of mHealth in China. Purpose: The purpose of the study was to reveals Chinese mHealth industry, to measure and understand the relationship between different factors that influencing the acceptance of mHealth apps in the case of Chinese users. Method: This study was based on the UTAUT2 Model and a quantitative methodology was followed. The author excluded price value and habit from the original UTAUT and added privacy and security factor. A primary data collection was conducted through a questionnaire in this research. Suitable respondents were those individuals who needed healthcare services, and due to the budget and time limitation, a convenience sampling technique was used. Conclusion: The findings show that social influence makes the strongest contribution to explaining users’ acceptance of mHealth app in China. The whole ranking of the factors (from strong to weak) is social influence > privacy and security > facilitating condition > performance expectancy. And except privacy and security, other factors are all positively affect the acceptance of Chinese mHealth app users. Organisations can use these findings to improve the design of mHealth apps in the future
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