A5011911684- Computational and Text Analysis Methods
- Topic Modeling
- Advanced Battery Materials and Technologies
- Psychometric Methodologies and Testing
- Advanced battery technologies research
- Surface Modification and Superhydrophobicity
- Advanced Statistical Modeling Techniques
- Diverse Approaches in Healthcare and Education Studies
- Electronic and Structural Properties of Oxides
- Advancements in Battery Materials
- Advanced Sensor and Energy Harvesting Materials
- Advanced Photocatalysis Techniques
- Natural Language Processing Techniques
- Education, Safety, and Science Studies
- Advanced Text Analysis Techniques
- Gas Sensing Nanomaterials and Sensors
- Data Quality and Management
- Advanced Battery Technologies Research
- Online Learning and Analytics
- Expert finding and Q&A systems
- Recycling and Waste Management Techniques
- Ga2O3 and related materials
- Extraction and Separation Processes
- Technology and Data Analysis
- Statistical Methods and Bayesian Inference
University of Georgia
2019-2025
Biological Sciences Curriculum Study
2024
Pearson (United States)
2023
Chongqing University
2017
Université du Québec à Chicoutimi
2017
Photoinduced oxygen vacancies (OVs) are widely investigated as a vital point defect in wide-band-gap semiconductors. Still, the formation mechanism of OVs remains unclear various materials. To elucidate photoinduced bismuth oxychloride (BiOCl), we synthesized two surface hydroxyl discrete samples light discovery significant variance groups before and after UV exposure. It is noted that can be obtained easily irradiation sample with groups, while variable changes were observed without...
Aqueous Zn-iodine (Zn-I
Aqueous Zn batteries (AZBs) have emerged as a highly promising technology for large-scale energy storage systems due to their eco-friendly, safe, and cost-effective characteristics. The current requirements high-energy AZBs attract extensive attention reasonably designed cathode materials with multi-electron transfer mechanisms. This review systematically overviews the development challenges of typical hosts capable multiple electron reactions high-performance batteries. Moreover, we also...
Mixed-format assessments, which include both multiple-choice (MC) and constructed-response (CR) items, often produce separate scoring scales, with MC items scored dichotomously CR polytomously. Conventional methods for estimating composite ability scores, such as weighting or summing, rely on subject matter expertise but overlook the information embedded in item scores. While recent progress takes advantage of empirical Bayes analysis it may also introduce biases because relies solely point...
Ultraviolet (UV)-durable superhydrophobic nanocomposite thin films have been successfully fabricated on aluminum substrates by embedding cobalt stearate (CoSA)-coated TiO2 nanoparticles in a hydrophobic polymethylhydrosiloxane (PMHS) matrix (PMHS/TiO2@CoSA) using the sol-gel process. When compared to sharp decrease of water contact angle (WCA) PMHS/TiO2 films, PMHS/TiO2@CoSA exhibited nearly constant WCA 160° under continuous UV irradiation for more than 1 month. The designed scheme...
Aqueous Zn-organic batteries (AZOBs) stand out in the family of aqueous Zn devices due to high theoretical capacity, tunable structures, sustainable resources, and low cost organic hosts. However, development advanced AZOBs faces numerous issues challenges, including, poor conductivity, actual serve molecular dissolution, unsatisfying energy density. Herein, we summarize an overview various materials as inserted ion In addition categorizing compounds based on their functional groups, this...
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what assessment measuring, suitable measurement models estimate latent abilities. Past research in educational measurement, however, has often overlooked written responses CR items after analyzing scores. This study presents a method for bridging this gap by using topic model called...
Abstract The use of process data in assessment has gained attention recent years as more assessments are administered by computers. Process data, recorded computer log files, capture the sequence examinees' response activities, for example, timestamped keystrokes, during assessment. Traditional measurement methods often inadequate handling this type data. In paper, we proposed a sequential reservoir method (SRM) based on computing model using echo state network, with particle swarm...
Abstract Multidimensional scoring evaluates each constructed‐response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only holistic score, to help students distinguish between various dimensions writing quality. In this work, we present a bilevel learning model for combining two objectives, the multidimensional automated scoring, students’ structure analysis interpretation. The dual objectives are enabled by supervised...
Rapid-guessing behavior in data can compromise our ability to estimate item and person parameters accurately. Consequently, it is crucial model with rapid-guessing patterns a way that produce unbiased estimates. This study proposes evaluates three alternative modeling approaches follow the logic of effort-moderated response theory (EM-IRT) analyze responses. One two-step EM-IRT model, which utilizes estimated by respondents without was initially proposed Rios Soland further investigation....
Quality management of supply chain refers to producing, forming and realizing production quality, so achieve the quality assurance product in environment. Therefore, establishment a complete effective system, ensure that has sustained stable capabilities, needs customers market can be responded rapidly, provide better service customers. With arrival information age, data become key point chain, source problems is put forward, considered whole process. Six Sigma system framework based on established.
Large-scale tests often contain mixed-format items, such as when multiple-choice (MC) items and constructed-response (CR) are both contained in the same test. Although previous research has analyzed types of simultaneously, this may not always provide best estimate ability. In paper, a two-step sequential Bayesian (SB) analytic method under concept empirical Bayes is explored for mixed item response models. This integrates ability estimates from different formats. Unlike method, SB...