-
61
Latent Graph Attention for Spatial Context in Light-Weight Networks: Multi-Domain Applications in Visual Perception Tasks
Published 2024-11-01“…Moreover, the depth of the graph network can be used to adapt the extent of contextual spread to the target dataset, thereby able to explicitly control the added computational cost. To enhance the learning mechanism of LGA, we also introduce a novel contrastive loss term that helps our LGA module to couple well with the original architecture at the expense of minimal additional computational load. …”
Get full text
Article -
62
Efficient Text Encoders for Labor Market Analysis
Published 2025-01-01“…In this paper, we propose ConTeXT-match, a novel contrastive learning approach with token-level attention that is well-suited for the extreme multi-label classification task of skill classification. …”
Get full text
Article -
63
Multi-Modal CLIP-Informed Protein Editing
Published 2024-01-01“…Methods: To fill these gaps, we propose a novel method called ProtET for efficient CLIP-informed protein editing through multi-modality learning. Our approach comprises 2 stages: In the pretraining stage, contrastive learning aligns protein–biotext representations encoded by 2 large language models (LLMs). …”
Get full text
Article -
64
Reflexivity as a transformative capacity for sustainability science: introducing a critical systems approach
Published 2025-01-01“…Yet, transdisciplinary research involves diverse actors who hold contrasting and sometimes conflicting perspectives and worldviews. …”
Get full text
Article -
65
The impact of orthographic knowledge on speech processing
Published 2012-12-01“…in this contribution, we first briefly review the main ideas and evidence supporting the role of learning to read in the alphabetic system in the development of conscious representations of phonemes, and we contrast conscious and unconscious representations of phonemes. …”
Get full text
Article -
66
AstroM3: A Self-supervised Multimodal Model for Astronomy
Published 2025-01-01“…Here we construct an astronomical multimodal dataset and propose AstroM ^3 , a self-supervised pretraining approach that enables a model to learn from multiple modalities simultaneously. We extend the Contrastive Language-Image Pretraining (CLIP) model to a trimodal setting, allowing the integration of time-series photometry data, spectra, and astrophysical metadata. …”
Get full text
Article -
67
Identifying and Understanding the Language Curriculum Across the World
Published 2022-09-01“… This article compares and contrasts the Language Curriculum in the United States, United Arab Emirates, Mongolia, Philippines and Indian Language Curriculum for the year 2022. …”
Get full text
Article -
68
A multimodal framework for pepper diseases and pests detection
Published 2024-11-01“…This model decomposes complex multimodal features of language and images into explicit attribute features and employs fine-grained multimodal attribute contrast learning strategies. …”
Get full text
Article -
69
Teachers' and students' perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education
Published 2024-12-01“…The study proposes strategies for designing GAI-based explanations that cater to learners' needs and emphasizes the necessity of explicit AI literacy instruction. Limitations and future research directions are discussed, underlining the need for larger-scale studies and experimental designs that assess the impact of GAI on actual learning outcomes.…”
Get full text
Article -
70
A qualitative investigation of the influences of gender among low-socioeconomic status students’ motivations to study biology
Published 2025-02-01“…For LSES men, these experiences were mostly related to engaging academic content, while explicit encouragement and support from teachers was particularly impactful for LSES women. …”
Get full text
Article -
71
Att lära om naturen från naturen och i naturen
Published 2025-02-01“…Studien kan vidare fungera som ett stöd för lärare hur man explicit kan adressera dessa fältpraktiker i undervisningen – inför, under och efter genomförande av fältstudier. …”
Get full text
Article -
72
Relating sparse and predictive coding to divisive normalization.
Published 2025-05-01“…Simulations show that the model can learn simple cells in the primary visual cortex with the property of contrast saturation, which has previously been explained by divisive normalization. …”
Get full text
Article -
73
Collaborating Across Organizational Boundaries to Develop, Evaluate, and Implement eHealth: Scoping Review
Published 2025-06-01“…A dialogical learning mechanism, defined as a learning process that occurs when boundaries hinder IOC, can support learning how to navigate such boundaries. …”
Get full text
Article -
74
Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies
Published 2025-02-01“…The scientific study of algorithms and statistical models are used by computer systems that use patterns and inference to perform tasks rather than using clear instructions. Machine learning is the science of making computers learn about a specific subject without the need for an explicit program. …”
Get full text
Article -
75
Adaptive Toeplitz convolution- enhanced classifier for anomaly detection in ECG big data
Published 2025-03-01“…Various autoencoder (AE) models within machine learning (ML) have been proposed for this task. However, these models often do not explicitly consider the specific patterns in ECG time series, thereby impacting their learning efficiency. …”
Get full text
Article -
76
Integrated Bidding and Battery Scheduling in a Microgrid for Sealed-Bid Double Auction Power Trading With Peer Microgrids Under Uncertainty and Its Blockchain-Based Implementation
Published 2025-01-01“…This paper proposes a novel framework for conducting sealed-bid double auctions in power trading for multi-microgrid networks, addressing the critical challenge of jointly optimizing bidding decisions and battery scheduling under uncertainty in renewable energy generation and load demand. In contrast to existing approaches that treat these components independently, our method explicitly models their interdependency for maximizing trading efficiency. …”
Get full text
Article -
77
Metacognitive States in Language, Communication and Cognition
Published 2017-05-01“…The main problem with this is the fact that metacognitive states can be expressed in language not only directly and explicitly, but they can be hidden, implicit, as well as syncretic with other important communicative meanings. …”
Get full text
Article -
78
Ambroxol confers neuroprotection against scopolamine-induced Alzheimer’s-like pathology by modulating oxidative stress, neuroinflammation, and cognitive deficits via Nrf-2/JNK/GSK-...
Published 2025-07-01“…Scopolamine also compromised synaptic integrity and induced deficits in memory formation and spatial learning. In contrast, ambroxol promoted synaptic integrity by upregulating the expression of SNAP-23 and PSD-95, thereby ameliorating scopolamine-induced impairments in spatial learning and memory.…”
Get full text
Article -
79
GLIHamba: global–local context image harmonization based on Mamba
Published 2025-07-01“…In recent years, harmonization methods based on deep learning have achieved significant progress. Pixel-wise matching methods utilize convolutional encoder-decoder models to learn the transformations from background to foreground pixel features. …”
Get full text
Article -
80
Students field independent-dependent solving surface area of square pyramid: Commognitive perspective
Published 2024-12-01“…The findings indicate that FI students approach problem-solving with greater detail, clarity, efficiency, and accuracy, explicitly demonstrating all four aspects of commognition. …”
Get full text
Article