- Online Learning and Analytics
- Psychometric Methodologies and Testing
- Intelligent Tutoring Systems and Adaptive Learning
- Advanced Statistical Modeling Techniques
- Cognitive Science and Mapping
- Advanced Radiotherapy Techniques
- Innovative Teaching and Learning Methods
- Membrane Separation and Gas Transport
- Multi-Criteria Decision Making
- Lignin and Wood Chemistry
- Advanced Statistical Methods and Models
- Medical Imaging Techniques and Applications
- Neural Networks and Applications
- Zeolite Catalysis and Synthesis
- Science Education and Pedagogy
- Advanced Clustering Algorithms Research
- Lung Cancer Diagnosis and Treatment
- Cognitive Abilities and Testing
- Biofuel production and bioconversion
- Fuel Cells and Related Materials
- Catalysis for Biomass Conversion
- Childhood Cancer Survivors' Quality of Life
- Advanced Data Compression Techniques
- Educational Technology and Assessment
- Statistics Education and Methodologies
University of Alberta
2016-2025
Inner Mongolia University of Technology
2025
Chinese Center For Disease Control and Prevention
2024
Qufu Normal University
2024
Jilin University
2014-2024
Korea University
2024
Beijing Normal University
2020-2024
Southwest China Institute of Electronic Technology
2021-2024
State Key Laboratory of Remote Sensing Science
2022
Huaqiao University
2019-2021
Zeolite T membranes were prepared by hydrothermal synthesis on porous mullite tubes seeded with zeolite crystals, using milk-like aluminosilicate gel a molar composition of SiO2∶Al2O3∶Na2O∶K2O∶H2O = 1∶0.05∶0.26∶0.09∶14. A crystal layer about 20 µm in thickness was formed the outer surface support after at 373 K for 30 h. Single-gas and mixed-gas permeation experiments through carried out vacuum method 303∼473 He, H2, CO2, O2, N2, CH4, C2H6 C3H8 single-component gases CO2/N2, CO2/CH4 other...
Typical clustering algorithms output a single of the data. However, in real world applications, data can often be interpreted many different ways; have groupings that are reasonable and interesting from perspectives. This is especially true for high-dimensional data, where feature subspaces may reveal structures Why commit to one solution while all these alternative views might user. In this paper, we propose new paradigm explorative analysis: find non-redundant points cluster belong...
Predictive analytics in higher education has become increasingly popular recent years with the growing availability of educational big data. Particularly, a wealth student activity data is available from learning management systems (LMSs) most academic institutions. However, previous investigations into predictive using LMS did not adequately accommodate behaviours form time series. In this study, we have applied deep approach — long short-term memory (LSTM) networks to analyze online...
With the exponential increase in volume of data available 21st century, literacy skills have become vitally important work places and everyday life. This paper provides a systematic review assessments targeted at different audiences educational levels. The results can help researchers practitioners better understand current state terms issues related to 1) levels audiences; 2) definitions competencies; 3) assessment types item formats; 4) reliability validity evidence. from present led us...
Display advertising has been a significant source of revenue for publishers and ad networks in online ecosystem. One important business model display is Ad Exchange marketplace, also called non-guaranteed delivery (NGD), which advertisers buy targeted page views audiences on spot market through real-time auction. In this paper, we describe bid landscape forecasting system NGD marketplace any advertiser campaign specified by variety targeting attributes. the system, impressions that satisfy...
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. streaming nature of data inevitably makes an system choose between maximizing its expected revenue according current knowledge short term (exploitation) trying learn more about the unknown improve (exploration), since latter might increase future. exploitation exploration (EE) tradeoff has been extensively studied reinforcement learning...
This article introduces procedures for the computation and asymptotic statistical inference classification consistency accuracy indices specifically designed cognitive diagnostic assessments. The new can be used as important indicators of reliability validity results produced by For tests with known or previously calibrated item parameters, sampling distributions two are shown to asymptotically normal. To illustrate computations indices, we apply them real data from a fraction subtraction...
Abstract Urban populations face heightened extreme heat risks attributed to urban islands and high population densities. Although previous studies have examined global exposure heatwaves, the influence of urbanization-induced warming is still not quantified. Here, leveraging satellite-derived near-surface air temperature data, we assess impacts on in 1028 cities worldwide. Additionally, investigate its role shaping disparities between North South cities. Our findings reveal that...
Precise lung tumor localization in real time is particularly important for some motion management techniques, such as respiratory gating or beam tracking with a dynamic multi-leaf collimator, due to the reduced clinical volume (CTV) planning target (PTV) margin and/or escalated dose. There might be large uncertainties deriving position from external surrogates. While implanted fiducial markers has sufficient accuracy, this procedure may not widely accepted risk of pneumothorax. Previously,...
For a given data set, exploring their multi-view instances under clustering framework is practical way to boost the performance. This because that each view might reflect partial information for existing data. Furthermore, due noise and other impact factors, these from different views will enhance mining of real structure feature within set. In this paper, we propose multiple kernel spectral algorithm through on By combining matrix learning optimization into one process framework, can...
The quaternized poly(ether ether ketone)s, which were aminated by trimethylamine, triethylamine, tripropylamine and 1-methylimidazole, studied as alternative HTPEM materials.
Occupational therapists assess fine motor, visual perception, and skill development, but knowledge of the relationships between scores on sensorimotor performance measures handwriting legibility speed is limited. Ninety-nine students in grades three to six with learning and/or behavior problems completed Upper-Limb Speed Dexterity Subtest Bruininks–Oseretsky Test Motor Proficiency, Beery–Buktenica Developmental Visual-Motor Integration—5th Edition, Visual Perceptual Skills—Revised, Skills...
In this article, we introduce a person‐fit statistic called the hierarchy consistency index (HCI) to help detect misfitting item response vectors for tests developed and analyzed based on cognitive model. The HCI ranges from −1.0 1.0, with values close indicating that students respond unexpectedly or differently responses expected under given A simulation study was conducted evaluate power of in detecting different types vectors. Simulation results revealed detection rate function type...
Functionalized graphene oxide (FGO) reinforced quaternized poly(ether ether ketone) membranes were prepared for high temperature proton exchange membrane applications. The introduction of FGO significantly improved the mechanical strength and oxidative stability these at a doping level. These showed tensile up to 40 MPa conductivity 58 mS cm(-1) 200 °C.
Purpose Many higher education institutions are investigating the possibility of developing predictive student success models that use different sources data available to identify students might be at risk failing a course or program. The purpose this paper is review methodological components related have been developed currently implemented in learning analytics applications education. Design/methodology/approach Literature was completed three stages. First, authors conducted searches and...
Few of previous reading studies comprehensively examined the contributing factors students’ digital literacy. To fill this gap, based upon ecological perspective, study aims to investigate which from student, home, and school context are more important in discriminating high-performing readers non–high-performing readers. The data Progress International Reading Literacy Study 2016 with 74,692 Grade 4 students 14 countries economies was analyzed using machine learning approach support vector...
A popular approach for dimensionality reduction and data analysis is principal component (PCA). limiting factor with PCA that it does not inform us on which of the original features are important. There a recent interest in sparse (SPCA). By applying an L1 regularizer to PCA, transformation achieved. However, true feature selection may be achieved as non-sparse coefficients distributed over several features. Feature NP-hard combinatorial optimization problem. This paper relaxes re-formulates...
The attribute hierarchy method (AHM) is a psychometric procedure for classifying examinees’ test item responses into set of structured patterns associated with different components from cognitive model task performance. Results an AHM analysis yield information on strengths and weaknesses. Hence, the can be used diagnostic assessment. purpose this study to introduce evaluate new concept assessing reliability using ratio true score variance observed items that probe specific attributes. This...