... distance of their feature. (b) Feature extraction using GCN. Contracting two separate homogeneous graph convolution networks to extracting ncRNA and drug feature respectively based on their diffusion map feature and similarity. (c) Predicting resistance association score using graph attention network...

... may serve as a new approach for myopia prevention, encouraging cross-field research and consideration of systemic therapies for managing comorbid conditions. myopia attention deficit hyperactivity disorder dopamine methylphenidate population-based cohort study National Science and Technology...

... to aggregate information from neighboring atoms and chemical bonds through graph convolutional layers, learning the structural features of molecules. (II) Heterogeneous network construction: builds a network integrating circRNA and drug interactions. (III) Information fusing by GAT: uses graph attention...

... from and serving as a speaker for Medice, Shire/Takeda Pharmaceuticals and Evolan Pharma AB; and sponsorship for a conference on attention-deficit/hyperactivity disorder from Shire/Takeda Pharmaceuticals and Evolan Pharma AB, all outside the submitted work. Z.C. reports receiving speaker fees from...

... attention fusion network is introduced. The main task is traffic flow prediction, with average travel speed and vehicle composition as auxiliary tasks. This approach enhances feature acquisition and improves prediction accuracy. In experiments using Fuzhou–Jingtan Expressway data, the model significantly...

... for structural visualization analysis and provided comparisons between the model-generated sequences and the target sequences. protein design attention mechanism short chain spatial reduction inverse folding Proteins play crucial roles in numerous biological functions. They participate in regulating...

... coronary artery (RCA), and left circumflex (LCX), comprising 776 LAD, 694 RCA, and 600 LCX reconstructions. Patient-level predictions utilized attention scores to quantify each slice’s contribution, ensuring a robust and interpretable diagnostic approach. The model achieved the best performance for LAD...

... ) Abstract Cue validity significantly influences attention guidance, either facilitating or hindering the ability for conflict resolution. Previous studies have demonstrated that the validity effect and conflict resolution are associated with better/worse behavioral performance and specific neural...

... in real time. Event-related potentials (ERPs) were recorded from White undergraduates at two large American universities (N = 130; 40% female) during a racial stereotype priming task. Attention to Black male face primes, indexed by the P2 ERP, increased following self-regulation failures. In turn...

... accuracy reached 92.9%. cable line fault prediction PSO–LSTM–ATT attention mechanism New energy technologies, such as wind and solar, are efficient and clean, which lead the power industry to a greener transition, effectively improving energy efficiency and reducing the consumption of fossil fuels...

... diagram. (a) Data acquisition, (b) data preprocessing, (c) multilayer time-varying brain network construction, (d) multilayer time-varying brain network metrics, and (e) Core layer brain network metrics. Abstract Auditory selective spatial attention (ASSA) plays an important role in “cocktail party...

... in this study, Seq2Topt, reached a superior accuracy on prediction just using protein sequences (RMSE = 12.26°C and R2 = 0.57), and could capture key protein regions for enzyme with multi-head attention on residues. Through case studies on thermophilic enzyme selection and predicting enzyme shifts...

... realistic models for phylogenetic inference. phylogenetic reconstruction neural network attention machine learning regression Agence Nationale de la Recherche 10.13039/501100001665 ANR-20-CE45-0017 IDRIS AD011011137R1 Molecular phylogenies provide essential insights into evolutionary...

... cross-attention (MMT_CA). The MMT_CA model demonstrated superior predictive performance, achieving a balanced classification accuracy of 97.7%, thus highlighting its ability to capture and leverage cross-modality inter-dependencies to aid predictive analytics. Furthermore, feature importance analysis...

... of attention’, this article shows how China's domestic political system has shaped the transformation of its role in global health governance, focusing on the evolution of this role during the COVID-19 pandemic. Abstract China's role in global health governance has evolved during the COVID-19 pandemic...

...: [email protected] 2025 This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder...

... and single-sensor identification, often suffer from high labor costs, low efficiency, and missed detections. To address these challenges, this paper proposes a track structure health identification method called CATDNet (Convolutional Attention for Track structure health identification Network), which...

... that, irrespective of race, early perceptual expression processing indexed by the N170 event-related potential was independent of central attention resources and racial attitudes. On the other hand, later emotional content evaluation indexed by the late positive potential (LPP) was dependent on central resources...

... computing approach, an echo-state network, adjusts the forecast with a transformer network with attention mechanism and then merges the echo-state and transformer forecast into a combined network. The stochastic nature of the method allows for a fast and more accurate forecast then individual predictors...

...) and long short-term memory (LSTM) networks to construct the CNN–LSTM model has attracted attention due to its unique advantages. The CNN model effectively extracts the spatial characteristics of industrial carbon emission data through a combination of convolutional layers and pooling layers [ 5 ], whereas...