摘要：
This half-day tutorial will be led by the original creators of AutoTutor, a prototype conversation-based adaptive instructional systems (CbAIS). The tutorial will inform you about (a) the theoretical foundations, enabling technologies, and practical applications of CbITS through hands-on and worked-out examples and (b) simple, common, and advanced data analysis methods that apply to the analysis of learner data. This tutorial is formulated for beginners and has no prerequisites. Professionals (corporate officers, program managers, scientists, and engineers) from industry, academia, and the government will all benefit from attending this tutorial. By the end of the tutorial, attendees will be able to create a complete CbITS module. Attendees will also be able to analyze data using the data analytical methods introduced.
作者机构：
[Long, Ting] Univ Turku, Turku Sch Econ, Turku, Finland.;[Long, Ting] Cent China Normal Univ, Natl Res Ctr Cultural Ind, Wuhan, Peoples R China.
会议名称：
9th International Conference on Well-Being in the Information Society (WIS)
会议时间：
AUG 25-26, 2022
会议地点：
Turku, FINLAND
会议主办单位：
[Long, Ting] Univ Turku, Turku Sch Econ, Turku, Finland.^[Long, Ting] Cent China Normal Univ, Natl Res Ctr Cultural Ind, Wuhan, Peoples R China.
会议论文集名称：
Communications in Computer and Information Science
关键词：
Theme park;Mobile applications;User engagement;Uses and gratification
摘要：
This study seeks to examine the determinants of user engagement in theme park apps from a uses and gratification perspective. Specifically, three different gratifications: utilitarian (i.e., utilitarian value, perceived ease of use, and convenience), hedonic (i.e., hedonic value and curiosity fulfillment), and social (i.e., social interaction and presence) gratifications are proposed to affect user engagement, which comprises three dimensions: cognitive, affective, and behavioral engagement. The research model was tested by collecting data via an online survey (N = 347). The results show that all utilitarian, hedonic, and social gratifications can facilitate users' cognitive and affective engagement, while behavioral engagement is only affected by utilitarian and hedonic gratification. This study enriches the understanding of what motivates user engagement in theme park apps and offers practical implications for park managers.
期刊：
2022 2ND IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE (SEAI 2022),2022年:288-292
作者机构：
[Zhang, Jie; Chen, Yan; Yang, Lintao] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.;[Hu, Jiwei; Hu, Xiang] Wuhan Fiberhome Tech Serv Co Ltd, Wuhan, Peoples R China.
会议名称：
2nd IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI) / 7th International Workshop on Pattern Recognition (IWPR)
会议时间：
JUN 10-12, 2022
会议地点：
Huaqiao Univ, Coll Comp Sci & Technol, Xiamen, PEOPLES R CHINA
摘要：
Parametric and semiparametric estimation methods are available for the case of multiple mediators in causal mediation analysis. However, in the presence of multiple exposure-mediators and mediator-mediator interactions, it is challenging to study the direct and indirect effects of multiple mediators. In this paper, we use G-computation to derive a decomposition of the overall effect that unifies the mediating and interacting effects when multiple mediators are present, including natural direct and indirect effects, direct effects of standard and random controls, and reference and mediating interaction effects. The final regression of potential outcomes using the exposure intervention variables was used to calculate the point estimates and obtain their confidence intervals (CI). The methods presented here accommodate exposure-mediator interactions and, to some extent, mediator-mediator interactions. These methods are applicable to binary, continuous mediators and binary, continuous, or count results in the case where the exposure is discrete. This framework can also be extended to complex multivariate and longitudinal mediator settings.
摘要：
In recent years, Graph Convolutional Neural Networks (GCNs) have been widely used in tasks such as node semi-supervised classification, connection prediction and image clustering by constructing connection relations between nodes for information transfer of node features and achieving feature aggregation between nodes. To address the problem that the inter-relationship between image features is ignored in the task of educational object retrieval, the re-ranking task is transformed into the classification and ranking problem of educational object image nodes by utilizing graph convolutional neural network, and we realize the feature transfer between images by constructing the connection relationship of image nodes, so as to pull closer the distance of the same educational object image nodes and push away the distance of different educational object image nodes.
作者机构：
[Liu, Lanfa; Zhou, Baitao] Cent China Normal Univ, Hubei Prov Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Peoples R China.;[Liu, Lanfa; Zhou, Baitao] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Yi, Xuefeng] Hohai Univ, Sch Earth Sci & Engn, Nanjing 211100, Peoples R China.
会议名称：
24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow
会议时间：
JUN 06-11, 2022
会议地点：
Nice, FRANCE
会议主办单位：
[Liu, Lanfa;Zhou, Baitao] Cent China Normal Univ, Hubei Prov Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Peoples R China.^[Liu, Lanfa;Zhou, Baitao] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.^[Yi, Xuefeng] Hohai Univ, Sch Earth Sci & Engn, Nanjing 211100, Peoples R China.
会议论文集名称：
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
关键词：
Crowdsourced Data;Street-Level Imagery;Object Detection;Point of Interest;Deep Learning
摘要：
Point-of-interest (POI) data contains rich semantic and spatial information, having a wide range of applications including land use, transport planning and driving navigation. However, urban POI mapping traditionally requires a lot of manpower and material resources, which only few institutions or enterprises can afford to. With the increasing amount of street-level imagery, it is possible to directly extract POI-related information from such data and automatically map the distribution of urban POIs. In the pilot study, we mainly focused on extracting POIs from billboards in street-level imagery. Firstly, the you only look once (YOLO) algorithm was considered to locate billboards in the imagery, then an optical character recognition (OCR) model was adopted to extract POI-related semantic information from the detected billboard, and finally the extracted semantic text was further processed to obtain POI results. The preliminary study shows that it is a promising way of mapping urban POIs from crowdsourced street-level data using deep learning techniques.
作者机构：
[Wang, Enke; Zhang, Ben-Wei; Wang, Sa; Yan, Jun] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;[Wang, Enke; Zhang, Ben-Wei; Wang, Sa; Yan, Jun] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.;[Dai, Wei] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China.;[Wang, Enke; Zhang, Ben-Wei] South China Normal Univ, Inst Quantum Matter, Guangzhou 510006, Peoples R China.
通讯机构：
[Zhang, Ben-Wei] C;[Zhang, Ben-Wei] S;Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.;South China Normal Univ, Inst Quantum Matter, Guangzhou 510006, Peoples R China.
会议名称：
28th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions (Quark Matter)
会议时间：
NOV 04-09, 2019
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Wang, Sa;Yan, Jun;Zhang, Ben-Wei;Wang, Enke] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.^[Wang, Sa;Yan, Jun;Zhang, Ben-Wei;Wang, Enke] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.^[Dai, Wei] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China.^[Zhang, Ben-Wei;Wang, Enke] South China Normal Univ, Inst Quantum Matter, Guangzhou 510006, Peoples R China.
关键词：
heavy-ion collisions;quark-gluon plasma;heavy flavor;jet quenching;diffusion of charm quark
摘要：
Heavy flavor physics in high-energy heavy-ion collisions is a promising and active area to study the mass dependence of the "jet quenching " effects both at the RHIC and the LHC. In this talk, we present the first theoretical study on the D-0 meson radial distributions relative to the jet axis both in p+p and Pb+Pb collisions at root s(NN) = 5.02 TeV, where a nice agreement of our results with experimental data is observed. The in-medium parton propagations are described by a Monte Carlo transport model which uses the next-to-leading order (NLO) plus parton shower (PS) event generator SHERPA as input and includes elastic (collisional) and inelastic (radiative) in-medium interaction of heavy flavor jet. We find that, at low D-0 meson p(T), the radial distribution significantly shifts to larger radius indicating a strong diffusion effect, and the diffusion effects decrease quickly with p(T) ,which is consistent with the recent CMS measurements. We demonstrate that the angular deviation of charm quarks is sensitive to D-s but not (q) over cap, which may provide new constrains on the collisional and radiative heavy quark energy loss.
作者机构：
[Nayak, Kishora] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
通讯机构：
[Nayak, Kishora] C;Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.
会议名称：
28th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions (Quark Matter)
会议时间：
NOV 04-09, 2019
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Nayak, Kishora] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.^Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
摘要：
In this proceeding, we present the new precise directed flow, v(1), measurement of pi, K, p and phi in Au+Au collisions at root s(NN) = 27, 54.4 GeV and deuteron at root s(NN) = 7.7, 11.5, 14.5 and 19.6 GeV. The first measurement of pseudorapidity and centrality dependence of the v(1) of high-p(T) (>5 GeV/c) charged hadrons in Au+Au collisions at root s(NN) = 200 GeV are reported. The elliptic flow, v(2), of identified hadrons (pi, K, p, phi, K-S(0), Lambda, Xi, Omega) in Au+Au collisions at root s(NN) = 54.4 GeV are also presented. The results are compared with model calculations to discuss the physics implications.
摘要：
Cognition and emotion in online collaboration play an important role in achieving high-quality collaboration performance. Especially in the online synchronous collaborative environment, the limited time and place require higher language instantaneity and flexibility of thinking, which brings great challenges to students' high cognitive behavior and emotional experience. However, few empirical studies have focused on the cognition and emotion of students in online synchronous collaboration. Therefore, a quasi-experimental study was conducted based on a creative synchronous collaboration task to explore the effects, social knowledge construction and emotional experience of Multi-Input and One-Output(MIOO) collaboration and Multi-Input and Multi-Output(MIMO) collaboration. The findings indicated that the MIMO collaboration groups performed better than the MIOO collaboration groups in creative achievements, but were more affected by technology. Besides, the MIOO collaboration groups had a higher degree of social knowledge construction and more positive emotional experiences.
通讯机构：
[Gupta, Sourendu] T;Tata Inst Fundamental Res, Dept Theoret Phys, Homi Bhabha Rd, Mumbai 400005, Maharashtra, India.
会议名称：
28th International Conference on Ultra-Relativistic Nucleus-Nucleus Collisions (Quark Matter)
会议时间：
NOV 04-09, 2019
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Gupta, Sourendu] Tata Inst Fundamental Res, Dept Theoret Phys, Homi Bhabha Rd, Mumbai 400005, Maharashtra, India.^[Mallick, Debasish;Mohanty, Bedangadas] HBNI, Natl Inst Sci Educ & Res, Sch Phys Sci, Jatni 752050, India.^[Mishra, Dipak K.] Bhabha Atom Res Ctr, Nucl Phys Div, Mumbai 400085, Maharashtra, India.^[Mohanty, Bedangadas] CERN, Expt Phys Dept, CH-1211 Geneva 23, Switzerland.^[Xu, Nu] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.^[Xu, Nu] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.^[Xu, Nu] Chinese Acad Sci, Inst Modern Phys, 509 Nanchang Rd, Lanzhou 730000, Gansu, Peoples R China.
关键词：
Quark-gluon Plasma;Fluctuations;Thermalization;QCD Critical Point
摘要：
Arguments for thermalization of the QCD matter created in high-energy nuclear collisions has dominantly come from the agreement of the measured yields of produced hadrons with those from statistical thermal models. Ideally for a thermalized system, in addition to mean, the higher orders of the moments of the multiplicity distribution of produced particles should also show agreement with thermal models. In this respect, simultaneously studying the moments of the event-by-event distributions of conserved quantities like net-baryon, net-strangeness and net-charge number is best suited. We present a systematic study of comparing the results from a thermal hadron resonance gas (HRG) model with data on higher moments of net-proton, net-kaon and net-charge distributions measured at RHIC beam energy scan program. The experimental acceptances in terms of rapidity and transverse momentum are used in the model calculations which also include resonance decay. For the first time, the HRG model results are found to explain the measurements up to third order of moment with a common temperature and baryonic chemical potential. These calculations have tested the thermal nature of produced net-particle distributions up to third order, thereby providing evidence for thermalization of the QCD matter formed in such high energy heavy-ion collisions.
