A5101459312- Cognitive and developmental aspects of mathematical skills
- Wireless Signal Modulation Classification
- Mathematics Education and Teaching Techniques
- Error Correcting Code Techniques
- Advanced Wireless Communication Techniques
- Emotional Intelligence and Performance
- Neural and Behavioral Psychology Studies
- Atmospheric chemistry and aerosols
- Learning Styles and Cognitive Differences
- Air Quality and Health Impacts
- Plant Virus Research Studies
- Energy Harvesting in Wireless Networks
- Cryptography and Data Security
- Blockchain Technology Applications and Security
- Advanced MIMO Systems Optimization
- Deception detection and forensic psychology
- Advanced Wireless Communication Technologies
- Cognitive Abilities and Testing
- Underwater Acoustics Research
- Mathematics Education and Pedagogy
- Visual and Cognitive Learning Processes
- Cloud Data Security Solutions
- Underwater Vehicles and Communication Systems
- Attention Deficit Hyperactivity Disorder
- Fractal and DNA sequence analysis
Liaoning University
2017-2025
Shandong University
2025
China North Industries Group Corporation (China)
2024
Guangzhou Institute of Geochemistry
2022
Chinese Academy of Sciences
2022
University of Chinese Academy of Sciences
2016-2022
University of Tübingen
2020
Southeast University
2019-2020
Southeast University
2020
Institute of Psychology, Chinese Academy of Sciences
2016-2017
In daily patient-history taking and diagnosis practice, doctors ask questions to gather information from patients narrow down diagnostic hypotheses. Training medical students be efficient problem solvers through the use of questioning is therefore important. this study, effectiveness problem-based learning (PBL) lecture-based in improving abilities (N = 104) was assessed by a modified 20-question task. task, participants were asked identify target pictures asking questions, problem-solving...
Deep neural networks (NNs) have exhibited considerable potential for efficiently balancing the performance and complexity of multiple-input multiple-output (MIMO) detectors. We propose a receiver framework that enables efficient online training by leveraging following simple observation: although NN parameters should adapt to channels, not all them are channel-sensitive. In particular, we use deep unfolded structure represents iterative algorithms in signal detection channel decoding modules...
With the wide application of Internet Things (IoT), storing large amounts IoT data and protecting privacy has become a meaningful issue. In general, access control mechanism is used to prevent illegal users from accessing private data. However, traditional schemes face some non-ignorable problems, such as only supporting coarse-grained control, risk centralization, high trust issues. this paper, an attribute-based scheme using blockchain technology proposed. To address these encryption (ABE)...
ABSTRACT Previous research indicates that students' academic performance can be negatively affected by interparental conflict. However, studies focusing on Chinese high school students, whose is particularly emphasized, are limited. Moreover, relatively little work has examined the mechanisms underlying association between conflict and performance. Based cognitive‐contextual framework expectancy‐value theory, current study explored potential cognitive mediators in 748 students with a mean...
Isoprene is the most abundant precursor of global secondary organic aerosol (SOA). The epoxide pathway plays a critical role in isoprene SOA (iSOA) formation, which epoxydiols (IEPOX) and/or hydroxymethyl-methyl-α-lactone (HMML) can react with nucleophilic sulfate and water producing isoprene-derived organosulfates (iOSs) oxygen-containing tracers (iOTs), respectively. This process complicated highly influenced by anthropogenic emissions, especially polluted urban atmospheres. In this study,...
Approximate number system (ANS) acuity and mathematical ability have been found to be closely associated in recent studies. However, whether how these two measures are causally related still remain less addressed. There hypotheses about the possible causal relationship: ANS influences performances, or access math education sharpens acuity. Evidences support of both reported, but never tested simultaneously. Therefore, questions only one-direction reciprocal relationships existed association....
This paper presents TurboNet, a novel model-driven deep learning (DL) architecture for turbo decoding that combines DL with the traditional max-log-maximum posteriori (MAP) algorithm. To design we unfold original iterative structure and replace each iteration by neural network (DNN) unit. In particular, DNN unit is obtained parameterizing max-log- MAP algorithm rather than whole decoder black box fully connected architecture. With proposed architecture, parameters can be efficiently learned...
This paper presents a novel model-driven deep learning (DL) architecture, called TurboNet, for turbo decoding that integrates DL into the traditional max-log-maximum <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">a posteriori</i> (MAP) algorithm. The TurboNet inherits superiority of max-log-MAP algorithm and tools thus excellent error-correction capability with low training cost. To design original iterative structure is unfolded as neural...
Constant envelope (CE) precoding design is of great interest for massive multiuser multi-input multi-output systems because it can significantly reduce hardware cost and power consumption. However, existing CE algorithms are hindered by excessive computational overhead. In this letter, a novel model-driven deep learning (DL)-based network that combines DL with conjugate gradient algorithm proposed precoding. Specifically, the original iterative unfolded parameterized trainable variables....
Researchers suggest that while intellectually gifted children might not always display adequate focus on their general life, they perform very well experimental attentional tasks. The current study used inattentional blindness (IB) paradigm to understand better the abilities of children. Specifically, we examined whether were more able avoid IB performing certain An experiment was carried out involved 44 and 45 average Results showed children, whose rate 18.6%, less susceptible than 46.5%, χ...
Abstract This study investigated the influence of cognitive interference on detectability concealed information in a reaction time (RT)‐based test (CIT). The classical RT‐based CIT was modified to interfere with response preparation, hypothesizing that this would enhance detection efficiency. A total 120 participants were randomly assigned as “guilty” or “innocent” and instructed deny any knowledge related mock crime. results revealed guilty exhibited significantly longer RTs for probes than...
In the present study, thinking styles as defined in Sternberg's theory of mental self-government are tested against yet another domain relevant to student learning. This is students' knowledge and use well their attitudes toward computing information technology (CIT) education. One hundred ninety-three (75 male 118 female) students from University Hong Kong responded Thinking Styles Inventory a short questionnaire assessing CIT The participants also indicated comprehensive list operations...
This study examined three aspects of the clustering strategy used by participants: differences between intellectually gifted and average children; relationship recall performance in on collaborative task children. Thirty-eight 44 children were recruited, their individual performances tested. The results showed that had better than peers when adjusted ratio scores calculated ( p < .01); positively correlated with .05), while no such correlation was found = .95); there inhibition group...
Abstract The SNARC (Spatial-Numerical Association of Response Codes) effect (i.e., a tendency to associate small/large magnitude numbers with the left/right hand side) is prevalent across whole lifespan. Because ability relate space has been viewed as cornerstone in development mathematical skills, relationship between and math skills frequently examined. results remain largely inconsistent. Studies testing groups people very low or high skill levels sometimes found relationships skills. So...
The term “intellectually gifted rural-to-urban migrant children” refers to intellectually children who are in migration from rural urban areas. We compared performances on seven attention tasks among (n = 26) and average 30) 31). Our results showed that performed more correctly faster some than did the children, but they not perform as well children. Based attentional structures, it was evident developed mature either or This suggests children’s is overall superior of their peers. However,...
Due to the rapid advancements in network technology, blockchain is being employed for distributed data storage. In Internet of Things (IoT) scenario, different participants manage multiple blockchains located trust domains, which has resulted extensive development cross-domain authentication techniques. However, emergence many attackers equipped with quantum computers potential launch computing attacks against schemes based on traditional cryptography, posing a significant security threat....
Background There is a consensus that both nonsuicidal self-injury (NSSI) and suicidal ideation as risk factors for behavior have strong connection. However, lack of longitudinal information has limited the clarification concrete relationship between them. Aims This study aimed to examine specific mechanism NSSI over time, during adolescence. Method A was conducted with 193 Chinese adolescents. ideations were examined course 1year followed-up, three waves data collected. Results The at time...
This paper presents TurboNet, a novel model-driven deep learning (DL) architecture for turbo decoding that combines DL with the traditional max-log-maximum posteriori (MAP) algorithm. To design we unfold original iterative structure and replace each iteration by neural network (DNN) unit. In particular, DNN unit is obtained parameterizing max-log-MAP algorithm rather than whole decoder black box fully connected architecture. With proposed architecture, parameters can be efficiently learned...