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Despite the recent growth in the integration of artificial intelligence (AI) into second/foreign language (L2) education, its emotional side has been ignored, to date. In order to address this gap, the present qualitative study aimed to explore ...

• This study explored the typology of emotions that Chinese English as a foreign language (EFL) teachers had experienced in their AI-based L2 classes.
• In this study, 50 Chinese EFL teachers were selected by convenience sampling technique,...

Increasing bandwidth demands of mobile video streaming pose a challenge in optimizing the Quality of Experience (QoE) for better user engagement. Multipath transmission promises to extend network capacity by utilizing multiple wireless links ...

In this paper, we present TECC, a system based on collaborative transmission control that mitigates the mismatch of sending behavior between the inner and outer connections to achieve efficient QUIC tunneling. In TECC, a feedback framework is implemented ...

Low-latency cloud rendering services use high-performance servers to provide mobile device users with exquisite graphics and convenient access experiences. Due to the complexity of the system and the diversity of impacting factors, identifying system ...

Handwritten mathematical expression recognition (HMER) has attracted extensive attention. Despite the significant progress achieved in recent years attributed to the development of deep learning approaches, HMER remains a challenge due to the ...

• A Graph-Encoder-Transformer-Decoder (GETD) approach is proposed for offline HMER, which has good interpretability.
• The approach consists of a graph encoder (GNN) for aggregating spatial structure information and a Transformer decoder ...

The proliferation of blockchain technology has resulted in diverse token standards, posing challenges for compatibility, security, and performance in existing cross-chain bridges. This paper introduces a novel framework capable of concurrently ...

In protein biophysics, the separation between the functionally important residues (forming the active site or binding surface) and those that create the overall structure (the fold) is a well-established and fundamental concept. Identifying and modifying ...

Artificial intelligence for scientific discovery has recently generated significant interest within the machine learning and scientific communities, particularly in the domains of chemistry, biology, and material discovery. For these scientific problems, ...

We consider the problem of learning a neural network classifier. Under the information bottleneck (IB) principle, we associate with this classification problem a representation learning problem, which we call “IB learning”. We show that IB ...

Molecule pretraining has quickly become the go-to schema to boost the performance of AI-based drug discovery. Naturally, molecules can be represented as 2D topological graphs or 3D geometric point clouds. Although most existing pertaining methods focus ...

T cells monitor the health status of cells by identifying foreign peptides displayed on their surface. T-cell receptors (TCRs), which are protein complexes found on the surface of T cells, are able to bind to these peptides. This process is known ...

We present a simple and yet effective interpolation-based regularization technique, aiming to improve the generalization of Graph Neural Networks (GNNs) on supervised graph classification. We leverage Mixup (Zhang et al. 2018a), an effective regularizer ...

Machine learning is an intelligent technology that plays an important role in classification and prediction. In the field of sports prediction, the prediction results must be processed, because many events in large-scale sports events are linked to funds. ...

The NFT market has been booming in recent years. In 2021, digital artist Pak’s newest creation, The Merge, fetched US$91.8 million on Nifty Gateway. Since then, many NFT owners have turned to auctions to gain more profits through their ...

Short text matching is a key problem in natural language processing (NLP), which can be applied in journalism, military, and other fields. In this paper, we propose an optimized Chinese short text matching algorithm based on external knowledge (...

Due to the lack of language analysis and understanding algorithms for kinematics problems, researches on automatic algorithms for tutorial systems are mainly concentrated on mathematics and physical circuits, and these algorithms are still ...

This research investigated the cross-cultural perspectives on control-sharing in ethical decision-making when both human and AI-enabled auto-driven vehicles to involve. We reviewed the current practices. We then illustrated a survey we conducted ...

The emergence of online education helps improving the traditional English teaching quality greatly. However, it only moves the teaching process from offline to online, which does not really change the essence of traditional English teaching. In this ...

With the increasing enrollment of higher education in China, teaching quality evaluation is an urgent problem to be studied. Colleges and universities should also have their own set of teaching quality evaluation system with the evaluation ...

Label Smoothing (LS) improves model generalization through penalizing models from generating overconfident output distributions. For each training sample the LS strategy smooths the one-hot encoded training signal by distributing its distribution ...