195 research outputs found
Chinese rhythm in second language acquisition
No full textMandarin Chinese exhibits unique prosodic constraints on the formation of words and phrases. These constraints are unique to Chinese and are often studied within the broader framework of Chinese phonology, morphology, syntax, and natural language processing. However, little is known about how non-native speakers process and acquire these constraints. This dissertation investigates whether Chinese second language (L2) learners and heritage learners can acquire such prosodic constraints. Two broad research questions are asked: (1) Can adult L2 learners of Chinese acquire these prosodic constraints? (2) Do heritage speakers have selective advantages over L2 learners in learning such prosodic constraints? To answer these questions, three studies were conducted. The first two studies employed Acceptability Judgment Tasks (AJTs) to explore how native speakers, heritage learners, and L2 learners perceive prosodic constraints in noun-noun (NN) compounds and verb-object (VO) phrases. The results revealed that native speakers were very sensitive to prosodic constraints, particularly in semantically congruent contexts. L2 learners, however, showed minimal sensitivity to prosodic violations, suggesting that prosodic constraints are challenging to acquire in adulthood. Heritage learners displayed some degree of sensitivity to prosodic constraints, though not as strongly as native speakers. The two AJTs also identified an interaction effect between prosody and semantics, showing that the effect of prosody depends on semantic conditions. The third study complements the AJTs by analyzing learner production data from a large-scale Chinese learner corpus—the HSK (Hanyu Shuiping Kaoshi, the Chinese Proficiency Test) Dynamic Composition Corpus. This corpus study identifies violations of prosodic rules in real-world language use, focusing on multi-syllabic modifier-noun (MN) compounds and VO phrases. By integrating experimental methods and corpus analysis, this dissertation underscores the persistent difficulties L2 learners face with prosodic constraints, while heritage learners demonstrate a more native-like application of prosodic rules.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01The student, Jiani Lin, accepted the attached license on 2024-11-19 at 15:50.The student, Jiani Lin, submitted this Dissertation for approval on 2024-11-19 at 15:52.This Dissertation was approved for publication on 2024-11-25 at 16:15.DSpace SAF Submission Ingestion Package generated from Vireo submission #21344 on 2025-03-28 at 14:43:1
Starting to close the communication gap in Technology transfer to the PRC
No full textTitle: “Starting to close the communication gap in technology transfer to the PRC” Level: Final assignment for Master Degree in Business Administration Author: Jiani Yang, Zhouni Lin Supervisor: Ernst HOLLANDER Examiner: Akmal HYDER Date: 2012-May Purpose — We have double purpose of promoting SME’s involvement in PRC’s development and technology transfer for sustainability in this research. From the double perspective of Chinese business economics and long run cooperation with Swedish enterprises, we investigate and analysis the main problems faced by SMEs when taking technology transfer to China. By doing this to help SMEs to overcome the barriers during technology transfer and promote the international technology transfer cooperation in the long run, as well as appeal technology transfer agencies to adopt a holistic approach to help SMEs to plan and implement technology transfer projects effectively and sustainably. Design/methodology/approach — We use the technology transfer project in China’s sewage market as our research case to illustrate our research problems. The discussion is based on the existing literatures regarding technology transfer, former researches and authentic cases about technology transfer to China, and interviews with relevant people. Findings — The findings indicates there is huge potential business opportunities in China’s sewage treatment market. Information transparency plays a critical role to foster the cooperation between transferor and transfers, as well as promoting SME’s involvement in China. Get directly to the leader taking the decisions is one effective way to get access to China’s market in short term. Communication gap becomes one of the main concerns for SMEs when taking technology transfer to China. In mid-term, organize workshop, get to learn with the local employee, promote the understanding between each other; get to the person who is capable to understand the technology and its effect is necessary; For the long run cooperation, technology transfer process transparency needs to be improved. Originality/value — This paper is of value through draw out the fact of common problems of taking technology transfer to China’s sewage market and analysis the reason. Transparency problem during the technology transfer process is drawn and analyzed. Key points for accessing China’s market by SMEs are produced.
sj-docx-2-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients
No full textSupplemental material, sj-docx-2-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p
sj-docx-3-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients
No full textSupplemental material, sj-docx-3-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p
sj-docx-1-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients
No full textSupplemental material, sj-docx-1-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p
sj-docx-1-tam-10.1177_17588359221113269 – Supplemental material for Early on-treatment transcriptional profiling as a tool for improving pathological response prediction in HER2-positive inflammatory breast cancer
No full textSupplemental material, sj-docx-1-tam-10.1177_17588359221113269 for Early on-treatment transcriptional profiling as a tool for improving pathological response prediction in HER2-positive inflammatory breast cancer by Sonia Pernas, Jennifer L. Guerriero, Sergey Naumenko, Shom Goel, Meredith M. Regan, Jiani Hu, Beth T. Harrison, Filipa Lynce, Nancy U. Lin, Ann Partridge, Aki Morikawa, John Hutchinson, Elizabeth A. Mittendorf, Artem Sokolov and Beth Overmoyer in Therapeutic Advances in Medical Oncology</p
Correction: The relative age effect on fundamental movement skills in Chinese children aged 3–5 years
No full textFollowing publication of the original article [1], the authors reported the following error In the article title, “skillsl” should be “skills” Kai Li, Shijie Liu and Yujun Cai's author unit information needs to be adjusted to:School of Physical Education, ShanghaiUniversity of Sport, Shanghai, China. The author unit information for Jiani Ma needs to be adjusted to:Research Centre for Sport, Exercise and Life Sciences, Coventry University, Coventry, UKSchool of Health and Social Development, Deakin University, Geelong, AustraliaInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia In the article title, “skillsl” should be “skills” Kai Li, Shijie Liu and Yujun Cai's author unit information needs to be adjusted to: School of Physical Education, ShanghaiUniversity of Sport, Shanghai, China. School of Physical Education, ShanghaiUniversity of Sport, Shanghai, China. The author unit information for Jiani Ma needs to be adjusted to: Research Centre for Sport, Exercise and Life Sciences, Coventry University, Coventry, UK School of Health and Social Development, Deakin University, Geelong, Australia Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia Research Centre for Sport, Exercise and Life Sciences, Coventry University, Coventry, UK School of Health and Social Development, Deakin University, Geelong, Australia Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia The article title and affiliations has been updated above and the original article has been corrected.</p
Improving security in IoT-based human activity recognition: a correlation-based anomaly detection approach
No full textAnomaly detection in Human Activity Recognition (HAR) is a critical subfield that leverages data from the Internet of Things (IoT) to monitor human activities and detect errors or abnormal events. Conventional rule-based approaches often fail to capture the intricate relationships between sensor values, while machine learning-based methods tend to lack the ability to provide explainability and actionable context for the detected anomalies. In this paper, we introduce a novel correlation-based anomaly detection framework designed to improve the security and reliability of IoT-enabled HAR systems. Our proposed scheme utilizes a context-aware deep learning architecture to predict sensor values by leveraging the interdependencies between coexisting sensors in the deployment environment. Experimental results demonstrate that our model achieves a best anomaly prediction accuracy of 99.76% on individual sensors and outperforms other baseline models, consistently maintaining high F1 scores with a minimum of 0.866 on various sensors, even when the training dataset is reduced. Furthermore, we propose an AI-Generated Content (AIGC)-based visualization method for reporting anomalies, offering clear insights into the context and severity of detected anomalies and their potential system impact.AI SingaporeMinistry of Education (MOE)Nanyang Technological UniversityNational Research Foundation (NRF)Submitted/Accepted versionThis research is supported by the National Research Foundation, Singapore and Infocomm Media Development Authority under its Trust Tech Funding Initiative and Strategic Capability Research Centres Funding Initiative, Future Communications Research \& Development Programme, Defence Science Organisation (DSO) National Laboratories under the AI Singapore Programme (FCP-NTU-RG-2022-010 and FCP-ASTAR-TG-2022-003), Singapore Ministry of Education (MOE) Tier 1 (RG87/22), the NTU Centre for Computational Technologies in Finance (NTU-CCTF), and Seitee Pte Ltd. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore and Infocomm Media Development Authority. Jiani Fan's research is partly supported by Alibaba Group through Alibaba Innovative Research (AIR) Program and Alibaba-NTU Singapore Joint Research Institute (JRI), Nanyang Technological University, Singapore.This research is supported by the National Research Foundation, Singapore and Infocomm Media Development Authority under its Trust Tech Funding Initiative and Strategic Capability Research Centres Funding Initiative, Future Communications Research & Development Programme, Defence Science Organisation (DSO) National Laboratories under the AI Singapore Programme (FCP-NTU-RG-2022-010 and FCP-ASTARTG-2022-003), Singapore Ministry of Education (MOE) Tier 1 (RG87/22), the NTU Centre for Computational Technologies in Finance (NTU-CCTF), and Seitee Pte Ltd. Jiani Fan’s research is partly supported by Alibaba Group through Alibaba Innovative Research (AIR) Program and Alibaba-NTU Singapore Joint Research Institute (JRI), Nanyang Technological University, Singapore
Neighborhood Upgrading Catalyst: A renovation academy combined with a student hostel
No full textResidential educatio
The effect of gratitude on well-being using a mobile app
No full textThis study examined the effect of a gratitude intervention using a mobile app on perceived stress and emotions in a Singapore context. 85 adult participants took part in the study. A pre-post, experimental between-group design was employed. Participants were randomly assigned to either the treatment group, or to the no-treatment group. In the treatment group, participants were instructed to key in 5 things they are grateful or thankful for over the past week. Perceived stress, positive affect, and negative affect were measured pre- and post-intervention. Results found no significant differences between the two groups on measures of perceived stress, positive affect, and negative affect after the intervention. However, significant differences were found in the treatment group on measures of perceived stress and negative affect across time. Factors such as, the intervention and motivation that could have contributed to the non-significant results are discussed. It is useful for future research to identify the optimal duration for intervention and to explore an improved version of the mobile app to enhance the effectiveness of the gratitude intervention
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