215 research outputs found
Parallel session 4 :Teaching and learning innovations
Get PDFPresented Titles: Higher Education and COVID-19: Is Hybrid Teaching/Learning the Solution? [Author: Francis Arthur-Holmes] Technology-enabled Teaching and Learning in COVID-19: Implication for Professional Development in Hong Kong’s Post-secondary Colleges [Authors: Beatrice Yan-yan Dang; Hayes Hei-hang Tang; Joanna WY Yeung] Hybrid Learning: Online Learning in a Residential Environment [Authors: Ying Xiong; Jingduo Bi] Hybrid Education and Collaborative Learning: A Natural Experiment During COVID-19 [Authors: Luyao Zhang; Ying Xiong; Jiaxin Wu] Catching Teachers Off Guard from Remote Learning: An Implication of Innovative Teaching Training in Hong Kong [Authors: Derek Wai-sun Chun; Siu-ho Yau; Wai-man Chan
Effects of respondent training on self-report personality assessment: an item response theory approach
Get PDFWithin the item response theory (IRT) framework and inspired by the rater training literature, this study explored the effects of short online respondent training on personality item interpretation and responding and the number of response categories (i.e. polytomous vs. dichotomous) on item performance, model-data fit, and criterion-related validity. Participants recruited from MTurk (n = 1977) were randomly assigned to 1 of the 4 groups differing in training (i.e. training vs. no training) and response scale (i.e. 4-point Likert scale vs. dichotomous), and their responses to dominance and ideal-point personality measures were analyzed with GGUM, SGR, and 2PL. Results indicated that training was associated with more well-performing and more discriminating and informative intermediate items on the ideal-point scales when a dichotomous response scale was used. The dichotomous scale in general was related to better fit, while criterion-related validity stayed unaffected by both training and the response scale. Participants reported that they had been confused about personality items before, and were positive about the online training, which was consistent with the finding that trained participants on average spent 32 seconds less finishing the ideal-point surveys. Implications for future research and practice are discussed.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01The student, Luyao Zhang, accepted the attached license on 2018-11-16 at 19:22.The student, Luyao Zhang, submitted this Dissertation for approval on 2018-11-16 at 19:33.This Dissertation was approved for publication on 2018-11-26 at 09:23.DSpace SAF Submission Ingestion Package generated from Vireo submission #13094 on 2019-02-08 at 11:39:03Made available in DSpace on 2019-02-08T18:39:46Z (GMT). No. of bitstreams: 3
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Previous issue date: 2018-11-26Embargo set by: Seth Robbins for item 109939
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109939
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109939
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109939
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 109939 on 2021-02-09T10:15:38Z
Measurement equivalence of the Comprehensive Personality Scales across cultures: an item response theory approach
Get PDFWithin the item response theory (IRT) framework, this study compared cross-culturally different approaches to the assessment of differential item functioning (DIF) in two personality tests of the Comprehensive Personality Scale (Wang, 2013). A dominance IRT model (SGRM) and an ideal point model (the GGUM) were applied within the NHST paradigm, due to the debate over which is the more appropriate model for personality research. Nye’s (2011) DIF effect size measure was also used in the current study to overcome the oversensitivity of NHST to large sample size. Participants from the U.S. (n = 861) and China (n = 1023) responded to two personality scales from the CPS: the Well-being scale, and the Curiosity scale. Results indicated that SGR was applicable for DIF assessment, but the NHST paradigm was so sensitive to large samples that even trivial DIF could be significant. GGUM failed to work in the DIF analyses due to ill-conditioned matrices. The DIF effect size measure compensated for the NHST method by providing the magnitude of DIF. Implications for future research and practice are discussed.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01The student, Luyao Zhang, accepted the attached license on 2017-03-07 at 14:03.The student, Luyao Zhang, submitted this Thesis for approval on 2017-03-07 at 14:06.This Thesis was approved for publication on 2017-03-07 at 16:11.DSpace SAF Submission Ingestion Package generated from Vireo submission #10567 on 2017-08-10 at 14:29:33Made available in DSpace on 2017-08-10T19:51:37Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-03-07Embargo set by: Colleen Fallaw for item 102591
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Correction: Tang, L. et al., Effect of Oxygen Variation on High Cycle Fatigue Behavior of Ti-6Al-4V Titanium Alloy. Materials 2020, 13, 3858
No full textThe author wishes to make the following correction to this paper [...
CO2-enhanced catalytic processing of oil shale
Get PDFOil shale is a complex mixture consisting of organic matters, mineral matrix and small amount of bound and unbound water. The thermal decomposition of organic substance generates oil and gaseous products. Operating conditions significantly influence the product yield. N2 pyrolysis and CO2-enhanced pyrolysis of small batch of fine oil shale and oil shale/shale ash blends provided different characteristics in both reactions and pyrolyzed products. Co processing of oil shale and agricultural wastes were also investigated in this thesis.
First of all, characterization of oil shale, shale ash and agricultural wastes were conducted in order to understand the nature of samples by multiple characterization techniques. Four types of oil shale and shale ash from various regions were used in this study. The kinetic study was carried out for both N2 pyrolysis and CO2-enhanced pyrolysis with four different mathematical models, including Kissinger method, FWO method, KAS method and Coats-Redfern method. Thermal decomposition properties of oil shale and agricultural wastes were studied based on TG and DTG curves results. Activation energy values produced by Coats-Redfern method were compared in pyrolysis reactions in different samples. Alkali index calculated from XRF results was used to identify different catalytic behaviors of shale II ash. In N2 pyrolysis process, gaseous products and shale oil were analyzed by gas chromatography and gas chromatography-mass spectrometry. Peak temperature was found an apparent decrease (10-30︒C) in oil shale/shale ash blends N2 pyrolysis tests compared with oil shale in N2 pyrolysis. Activation energy values of oil shale/shale ash blends also reduced significantly, by around 30 kJmol-1 compared with individual oil shale in N2 pyrolysis. Product yield and shale oil yield were enhanced up to 36% by shale ash catalytic effects. Syngas concentration was also increased up to 14.80% under this circumstance. In CO2-enhanced pyrolysis tests, oil shale with higher ash content showed lower reactivity in the reactions, especially in initial and final stages. Compared with N2 pyrolysis tests, CO2 enhanced pyrolysis tests results exhibited higher yield and selectivity in syngas, from 14.80% to 20.30%. Though shale oil yield was decreased, gas yield was apparently increased.
The main purpose of utilizing agricultural wastes and oil shale in pyrolysis process is turning waste materials into high-added value products. In the co-pyrolysis process, different blending ratio had various effects on thermal decomposition process. Residual mass content increase with increasing oil shale content. This trend was due to the high volatile content and low fixed carbon content in agricultural wastes compared to oil shale. The agricultural wastes contained III cellulose, hemicellulose and lignin, which constituted the macromolecular structure of woody materials. The highest activation energy was observed in the final period of pyrolysis with blending ratio of 7:3 (agricultural wastes to oil shale). Activation energy was considered as initiative energy barrier in the reaction. This implied that lower activation energy could promote co-pyrolysis process.
Shale ash can be used as potential catalysts in N2 pyrolysis and CO2 enhanced pyrolysis because of thermal stability and splendid behavior. Co-processing of oil shale and other organic-rich materials is an efficient approach for the conversion of oil shale into high-value products
CO2-enhanced catalytic processing of oil shale
Get PDFOil shale is a complex mixture consisting of organic matters, mineral matrix and small amount of bound and unbound water. The thermal decomposition of organic substance generates oil and gaseous products. Operating conditions significantly influence the product yield. N2 pyrolysis and CO2-enhanced pyrolysis of small batch of fine oil shale and oil shale/shale ash blends provided different characteristics in both reactions and pyrolyzed products. Co processing of oil shale and agricultural wastes were also investigated in this thesis.
First of all, characterization of oil shale, shale ash and agricultural wastes were conducted in order to understand the nature of samples by multiple characterization techniques. Four types of oil shale and shale ash from various regions were used in this study. The kinetic study was carried out for both N2 pyrolysis and CO2-enhanced pyrolysis with four different mathematical models, including Kissinger method, FWO method, KAS method and Coats-Redfern method. Thermal decomposition properties of oil shale and agricultural wastes were studied based on TG and DTG curves results. Activation energy values produced by Coats-Redfern method were compared in pyrolysis reactions in different samples. Alkali index calculated from XRF results was used to identify different catalytic behaviors of shale II ash. In N2 pyrolysis process, gaseous products and shale oil were analyzed by gas chromatography and gas chromatography-mass spectrometry. Peak temperature was found an apparent decrease (10-30︒C) in oil shale/shale ash blends N2 pyrolysis tests compared with oil shale in N2 pyrolysis. Activation energy values of oil shale/shale ash blends also reduced significantly, by around 30 kJmol-1 compared with individual oil shale in N2 pyrolysis. Product yield and shale oil yield were enhanced up to 36% by shale ash catalytic effects. Syngas concentration was also increased up to 14.80% under this circumstance. In CO2-enhanced pyrolysis tests, oil shale with higher ash content showed lower reactivity in the reactions, especially in initial and final stages. Compared with N2 pyrolysis tests, CO2 enhanced pyrolysis tests results exhibited higher yield and selectivity in syngas, from 14.80% to 20.30%. Though shale oil yield was decreased, gas yield was apparently increased.
The main purpose of utilizing agricultural wastes and oil shale in pyrolysis process is turning waste materials into high-added value products. In the co-pyrolysis process, different blending ratio had various effects on thermal decomposition process. Residual mass content increase with increasing oil shale content. This trend was due to the high volatile content and low fixed carbon content in agricultural wastes compared to oil shale. The agricultural wastes contained III cellulose, hemicellulose and lignin, which constituted the macromolecular structure of woody materials. The highest activation energy was observed in the final period of pyrolysis with blending ratio of 7:3 (agricultural wastes to oil shale). Activation energy was considered as initiative energy barrier in the reaction. This implied that lower activation energy could promote co-pyrolysis process.
Shale ash can be used as potential catalysts in N2 pyrolysis and CO2 enhanced pyrolysis because of thermal stability and splendid behavior. Co-processing of oil shale and other organic-rich materials is an efficient approach for the conversion of oil shale into high-value products
Supplementary Tables.xlsx
No full textThese are the supplemental tables of the article submitted to the Frontiers in Plant Science.Genome-wide Association Analysis of Stable Stripe Rust Resistance Loci in a Chinese Wheat Landrace Panel Using the 660K SNP ArrayFangjie Yao1, Fangnian Guan1, Luyao Duan1, Li Long1, Hao Tang1, Yunfeng Jiang1, Hao Li1, Qiantao Jiang1, 2, Jirui Wang2, 3, Pengfei Qi1, Houyang Kang1, 2, Wei Li3, Jian Ma1, Zhien Pu3, Mei Deng1, Yuming Wei1, 2, Youliang Zheng1, 2, Xianming Chen4*, and Guoyue Chen1, 2*</div
A semi-quantitative methodology for risk assessment of university chemical laboratory
No full textUniversity chemical laboratory is a high-risk place for teaching and scientific research due to the presence of various physical and chemical hazards. In recent years, university chemical laboratory accidents occur frequently. This urges the need to enhance university chemical lab safety. A semi-quantitative methodology comprising Matter-Element Extension Theory (MEET) implemented with Combination Ordered Weighted Averaging (C-OWA) operator is proposed to assess the risk of a university chemical laboratory. First, an index-based risk assessment system of university chemical laboratory is built by identifying various risk factors from a system perspective. Then, C-OWA operator is used to calculate the weight of assessment indices, whereas MEET is employed to determine the correlation degree of assessment indices. Finally, the comprehensive risk of university chemical laboratories is assessed, and some safety measures are proposed to reduce the risk of university chemical laboratories. The applicability of the proposed methodology is tested using a practical case. It is observed that the methodology can be a useful tool for risk assessment and management of university chemical laboratories.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Safety and Security Scienc
Analysing and Developing Promotion of Multi-Sided Platform Mobile Application: Case: Yamii
Get PDFThe commissioning party of this thesis is a start-up company called LBB Solutions Oy, where the author is working as a marketing manager of the “Yamii” project. The aim of this thesis is to ascertain reasons for the current situation and any problems regarding the MSP (multi-sided platform) mobile App “Yamii”, from a marketing point of view, and to give suggestions on products development and multi-sided marketing.
This is a procedural thesis and both quantitative and qualitative research methods are used. The theories applied are mobile marketing, service marketing, the customer value proposition, O2O business model etc.
With the help of database and some feedbacks from users, as well as the own observa-tions, the author tried to find any mistakes that might have been made by the company. The main reasons found out that leading to the current situation are “the chicken or the egg causality dilemma” in multi-sided marketing, some negative user experiences and the lack of interactive marketing activities. Suggestions are also given accordingly on both product development and market planning, for example, fulfil the content by company itself for both sides’ users, and add a loyalty system as another main feature as well as some specific marketing activity plans to connect the two sides’ users with Yamii
Model-based motion optimization for quadruped robots with an actuated articulated torso
No full textIn recent years, the deployment of ground-based mobile robots has gained more and more interest in various domains. In contrast to other types of mobile robots, legged robots can traverse irregular terrains, climb stairs, and step over obstacles. However, these unique properties intensify the energy demand and require highly advanced perception methods, actuator designs, and motion control algorithms. The most significant challenges in legged robotics lie in robustness, energy efficiency, and agility.In recent years, the integration of an articulated torso or active spine, inspired by the body motion of high-performance mammals like the cheetah, has shown promising results. Various studies observed higher maximum velocities and lower energy consumption compared to a rigid torso. However, in these studies, the compliant systems were typically controlled using basic control strategies. In recent years, the development of highly dynamic model-based motion optimization strategies has greatly enhanced the overall performance of various legged robots. Therefore, a model-based motion optimization scheme is developed specifically for articulated quadruped robots. This scheme fully exploits the additional degrees of freedom of the torso to enhance the dynamic performance of the legged robot further.https://gitlab.com/kockelkorenmichiel/compliant_spot.git Gitlab repository https://www.youtube.com/playlist?list=PLmZ4ovuqQhMDMwtWewSW37cCfZYxINFxL Unspecified VideosMechanical Engineering | Systems and Contro
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