| 1. |
- Kristan, Matej, et al.
(författare)
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The Sixth Visual Object Tracking VOT2018 Challenge Results
- 2019
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Ingår i: Computer Vision – ECCV 2018 Workshops. - Cham : Springer Publishing Company. - 9783030110086 - 9783030110093 ; , s. 3-53
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Konferensbidrag (refereegranskat)abstract
- The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net).
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| 2. |
- Guo, Jia Wei, et al.
(författare)
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2D Co metal-organic framework nanosheet as an oxidase-like nanozyme for sensitive biomolecule monitoring
- 2023
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Ingår i: Rare Metals. - : Springer Science and Business Media LLC. - 1001-0521 .- 1867-7185. ; 42:3, s. 797-805
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Nanozyme-based biomolecules sensitive and quantitative detection is an attractive strategy due to their high chemical, thermal stability and reactive activity. Here, we have synthesized a significant number of two-dimensional (2D) cobalt-metal-organic framework (Co-MOF) nanosheets with oxidase (OXD)-like activity using a facile solvothermal method in one pot for biomolecule monitoring. The synthesized Co-MOF nanosheets exhibit strong stability, higher specific surface area and more active sites due to their MOF structure. Such Co-MOF nanosheets with excellent OXD-like activity show adequate analytical performance in the quantitative determination of dopamine (DA) and glutathione (GSH) with a wider dynamic sensing range and lower detection limits (DA and GSH: 0.24 and 0.067 μmol·L−1, 3σ/slope, where σ is standard deviation of the blank). This work extends the application of 2D-MOF structures in bioassays and brings new insights into the application of OXD-like nanozymes in bioassays. Graphical abstract: [Figure not available: see fulltext.]
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| 3. |
- LIU, Y., et al.
(författare)
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Middle-School Students’ Behavior Pattern and Strategy Selection in Problem Solving: A Study Based on Data from PISA 2012
- 2020
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Ingår i: Proceedings of ICCE 2020 - 28th International Conference on Computers in Education. - National Cheng Kung University, Taiwan : Asia-Pacific Society for Computers in Education. - 9789869721455
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Konferensbidrag (refereegranskat)abstract
- Vary-one-thing-at-a-time (VOTAT) strategy is regarded as the optimal strategy in the knowledge acquisition stage of complex problem solving (CPS) in many studies. Based on the log-file data of the Climate Control task of computer-based assessment of the CPS in the 2012 cycle of the Programme for International Student Assessment (PISA), 388,931 pieces of records from 20,597 students who used VOTAT were collected for an in-depth analysis. The result of the latent class analysis identified three kinds of strategies, the depth-first strategy, breadth-first strategy and mixed-strategy. The Pearson's chi-squared Test and Welch variance analysis showed that the task performance of the students in the three groups varied. These results suggest that VOTAT strategy could be distinguished in a more elaborated way, which would contribute to portray the CPS process in detail, and so it is proved to play a key role in the CPS performance again.
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| 4. |
- Lozano, Rafael, et al.
(författare)
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Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017
- 2018
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Ingår i: The Lancet. - : Elsevier. - 1474-547X .- 0140-6736. ; 392:10159, s. 2091-2138
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Tidskriftsartikel (refereegranskat)abstract
- Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030.
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| 5. |
- YANG, Bo, 1989
(författare)
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Analysis and Visualization of While-Learning Social Help Seeking Aligned with Learning Content to Facilitate Data-informed Support in MOOCs
- 2022
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Ingår i: IEEE 22nd International Conference on Advanced Learning Technologies (ICALT 2022). - : IEEE. - 2161-3761 .- 2161-377X. - 9781665495196
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Konferensbidrag (refereegranskat)abstract
- Help-seeking is a crucial component of self- regulated learning in MOOCs. The extant studies focus on post- watching help-seeking behaviors such as putting a post in the discussion forum whereas an innovative communicating system which supports live messages synchronized with video playback timeline, provides a new perspective in understanding help- seeking behaviors in the process of watching MOOC videos. This study conducts content analysis using danmaku messages to understand the help-seeking interaction and implements visualization aligned with the situation in which the help-seeking request was sent. This study offers new perspectives on both how help seeking is implemented socially among peer learners in the process of watching MOOC videos and why the proliferation of help-seeking requests happened. Based on this understanding, the significant value in facilitating feedback for teaching design, informing instructors intervention decision, and providing support for students active learning is discussed.
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| 6. |
- YANG, Bo, 1989
(författare)
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Combining Danmaku and Discussion Boards: Toward A Scalable and Sociable Environment for Mass Collaboration in MOOCs
- 2024
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Ingår i: International Journal of Computer-Supported Collaborative Learning. - 1556-1607 .- 1556-1615.
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Tidskriftsartikel (refereegranskat)abstract
- In online learning at scale, wherein instructional videos play a central role, interactive tools are often integrated to counteract passive consumption. For example, the forum or discussion board is widely used, and an emerging functionality, danmaku, which enables messages to be synchronized with video playback, has also been utilized recently. To explore how mass participation is accommodated and what categories of interaction learners implement, this study utilizes analysis of interaction and manual content analysis through learner-generated text data from two specific tools employed in a massive open online course (MOOC) setting: the discussion board (N = 739) and danmaku (N = 2435). Results of the analysis of interaction indicate that mass participation is managed differently by the tools: danmaku fosters a collective space for massive participants, while the discussion board organizes them into threaded small groups. In addition, results of the content analysis show danmaku primarily supports indirect interaction with a focus on the socio-emotional dimension, while the discussion board serves as a platform for direct discussions, particularly in the cognitive dimension. Furthermore, within the context of large-scale engagement, various levels of joint interaction, in addition to collaboration, are discerned and discussed in both socio-emotional and cognitive interactions. The findings offer insights for developing sociable and scalable socio-technical environments in computer-supported collaborative learning (CSCL), addressing emerging educational trends. Practical implications for educational design based on these findings are also discussed.
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| 7. |
- YANG, Bo, 1989
(författare)
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Identifying and Comparing Interaction Features of Different Topic Categories in Online Learning Discussions Supported by Danmaku
- 2021
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Ingår i: Main Conference Proceedings of ICCE 2021 - 29th International Conference on Computers in Education. - National Cheng Kung University, Taiwan : Asia-Pacific Society for Computers in Education. - 9789869721455
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Konferensbidrag (refereegranskat)abstract
- With its interactive features, danmaku, a live-chat functionality allowing viewers to post messages right on the screen while watching videos, has numerous potentials of enhancing online learning interaction. In this paper, danmaku data generated by learners in one lecture of a high-school math course was retrieved. Coding based on content analysis was conducted to identify the interaction relationship, social network was then modeled, and results were compared between co-learner presence and idea exchange discussions. It was found that co-learner presence and idea exchange discussions showed differences in conversation structure, network topology and high-degree nodes. This study enhances the understanding of the interaction in MOOC learning facilitated by danmaku and provide evidence and basis for making use of danmaku discussions to better facilitate learning interaction
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| 8. |
- YANG, Bo, 1989
(författare)
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Learning Alone yet Together: An Exploratory Study of the Interaction through Online Danmaku Videos
- 2020
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Ingår i: Proceedings of 2020 IEEE Learning With MOOCS (LWMOOCS). - USA : IEEE and IEEE Education Society. - 9781728197289
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Konferensbidrag (refereegranskat)abstract
- Due to technological innovations, people’s learning channel has greatly been diversified and along with the rapidly-developing Internet, an emergent commenting and communicating system in the video, the danmaku which enables time-sync comments in the video timeline was introduced from animation industry to online MOOCs learning. With its interactive features, the danmaku has numerous potential of enhancing online learning interaction and even learning outcomes. This paper implemented quantitative analysis involving 26,769 danmaku comments generated in video lessons in math from one of China’s most popular danmaku video website in order to explore the interaction while learning. Results of the analysis suggested that learners’ use of danmaku facilitated and promoted the interaction between the learners. Furthermore, learners engaged themselves in affective connections with the teacher through commenting by using danmaku.
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| 9. |
- YANG, Bo, 1989, et al.
(författare)
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Learning Alone Yet Together: Enhancing Between-Learner Social Connectivity at Scale
- 2022
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Ingår i: L@S '22: Proceedings of the Ninth ACM Conference on Learning @ Scale. - New York, NY, United States : Association for Computing Machinery.
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Konferensbidrag (refereegranskat)abstract
- MOOCs rely on asynchronous sessions to meet the individual need of a massive number of students geographically distributed. While the asynchronous design ensures the flexibility and accessibility of delivering courses at scale, the absence of synchronous opportunities brings up problems such as reduced interactivity and even the sense of isolation. However, as synchronicity in essence contradicts the asynchronous design which is considered to foster the fundamental appeal of MOOCs, adding synchronous parts to MOOCs in a simple and straightforward way is not feasible. To address this, an emerging functionality which is popular in entertainment video watching but newly used in MOOC learning is explored and evaluated. In this functionality, the lecture video and communication between learners are still implemented in an asynchronous way whereas the chat messages sent by previous and present learners in the process of watching are organized and displayed according to their sending timestamps along the video playback timeline to create an atmosphere of 'pseudo-synchronicity'. This study first evaluated the effect of this new design on learner interaction and compare the results with learners’ use of the traditional discussion posts which serves as the baseline of affording learning connectivity. Then the findings were contrasted and consolidated with the feedback from learners in a survey. Preliminary results show that despite the difficulty in translating the temporary learning connections into deeper social relationships, this new system can effectively deliver the sense of connectedness to learners in their MOOC learning process.
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