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Article
Exploration of the Relationships Among Epistemic Views of Physics, Conceptions of Learning Physics, and Approaches to Learning Physics for College Engineering Students
Physical education in colleges plays an increasingly important role in cultivating high-quality innovative talent. The main factors that affect college students’ approaches to learning physics remain unknown. ...
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Article
YTHDC1-Mediated lncRNA MSC-AS1 m6A Modification Potentiates Laryngeal Squamous Cell Carcinoma Development via Repressing ATXN7 Transcription
Laryngeal squamous cell carcinoma (LSCC) has the highest mortality rate among head and neck squamous cell carcinoma. This study was designed to investigate the biological effect of long noncoding RNA (lncRNA) ...
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Chapter and Conference Paper
Formal Verification Based Synthesis for Behavior Trees
Behavior trees (BTs) have been extensively applied in the area of both computer games and robotics, as the control architectures. However, the construction of BTs is labor-expensive, time-consuming, and even i...
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Article
Grazing intensity mediates effects of plant arbuscular mycorrhizal symbiosis on nitrogen and phosphorus resorption in semiarid grasslands
Plant-arbuscular mycorrhizal fungi (AMF) symbiosis and nutrient resorption are key to resource use and conservation strategies for wild plants. However, it remains unclear how grazing and plant-AMF symbiosis a...
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Article
Research on primary Sjögren’s syndrome in 2004–2021: a Web of Science-based cross-sectional bibliometric analysis
The extent, range, and nature of available research in the field of primary Sjögren’s syndrome (pSS) have not been understood fully. This study aimed to map the literature available on pSS, and identify global...
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Chapter and Conference Paper
Collaborative Verification of Uninterpreted Programs
Given a set of uninterpreted programs to be verified, the trace abstraction-based verification method can be used to solve them once at a time. The verification of different programs is independent of each oth...
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Chapter and Conference Paper
Trace Abstraction-Based Verification for Uninterpreted Programs
The verification of uninterpreted programs is undecidable in general. This paper proposes to employ counterexample-guided abstraction refinement (CEGAR) framework for verifying uninterpreted programs. Differen...
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Article
Robust multi-kernelized correlators for UAV tracking with adaptive context analysis and dynamic weighted filters
In recent years, the correlation filter (CF)-based method has significantly advanced in the tracking for unmanned aerial vehicles (UAVs). As the core component of most trackers, CF is a discriminative classifi...
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Article
Evaluation of model checkers by verifying message passing programs
Benchmarks and evaluation are important for the development of techniques and tools. Studies regarding evaluation of model checkers by large-scale benchmarks are few. The lack of such studies is mainly because...
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Chapter and Conference Paper
Using Coq for Formal Modeling and Verification of Timed Connectors
Formal modeling and verification of connectors in component-based software systems are getting more interest with recent advancements and evolution in modern software systems. In this paper, we use the proof a...
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Chapter and Conference Paper
Reasoning About Connectors in Coq
Reo is a channel-based exogenous coordination model in which complex coordinators, called connectors, are compositionally built out of simpler ones. In this paper, we present a new approach to model connectors...
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Chapter and Conference Paper
An Incremental Algorithm about the Affinity-Rule Based Transductive Learning Machine for Semi-Supervised Problem
One of the central problems in machine learning is how to effectively combine unlabelled and labelled data to infer the labels of unlabelled ones. In recent years, there has a growing interest on the transduct...
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Chapter and Conference Paper
Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm
One of the central problems in machine learning is how to effectively combine unlabelled and labelled data to infer the labels of unlabelled ones. In this article, transductive learning machines are introduced...