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321
Enhanced Visual Attentional Modulation in Patients with Inherited Peripheral Retinal Degeneration in the Absence of Cortical Degeneration
Published 2019-01-01“…The role of attentional mechanisms in peripheral vision loss remains an outstanding question. …”
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322
RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis
Published 2024-01-01Subjects: Get full text
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323
A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning
Published 2024-12-01“…Thus, LSTM is integrated with the new attention mechanism to construct an LSTMATT model, which improves the performance. …”
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324
Assessing the impact of mindfulness programs on attention-deficit/ hyperactivity disorder in children and adolescents: a systematic review
Published 2025-01-01Subjects: Get full text
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325
Altered Recruitment of the Attention Network Is Associated with Disability and Cognitive Impairment in Pediatric Patients with Acquired Brain Injury
Published 2015-01-01“…Pediatric ABI patients experienced an inability to optimize attention network recruitment, especially when task difficulty was increased, which likely contributes to their clinical and cognitive deficits.…”
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326
Theta Burst Stimulation Enhances Connectivity of the Dorsal Attention Network in Young Healthy Subjects: An Exploratory Study
Published 2018-01-01“…A single session of intermittent TBS of the left superior parietal lobule induced certain cognitive speed enhancement and significantly increased resting-state connectivity of the dorsal attention network. This is an exploratory study that prompts further research with multiple-session TBS in subjects with cognitive impairment.…”
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327
Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting
Published 2024-11-01Subjects: Get full text
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328
The impact of psychological theory on the treatment of Attention Deficit Hyperactivity Disorder (ADHD) in adults: A scoping review.
Published 2021-01-01“…Psychological theory and interpretation of research are key elements influencing clinical treatment development and design in Attention Deficit Hyperactivity Disorder (ADHD). Research-based treatment recommendations primarily support Cognitive Behavioural Therapy (CBT), an extension of the cognitive behavioural theory, which promotes a deficit-focused characterisation of ADHD and prioritises symptom reduction and cognitive control of self-regulation as treatment outcomes. …”
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329
Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention
Published 2021-01-01“…Then, in order to take advantage of the time sequence information, the temporal feature for consecutive frames is encoded using gated recurrent unit (GRU). After that, the attention mechanism is integrated into the decoder to effectively establish the mappings between the input sequence and corresponding output sequence. …”
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330
Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification
Published 2025-01-01Subjects: “…hierarchical feature attention learning…”
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331
The Effect of auriculotherapy on sleep quality in children with attention deficit hyperactivity disorder: a randomized clinical trial
Published 2025-01-01“…Abstract Introduction Considering the importance of sleep disorders in children with attention-deficit/hyperactivity disorder (ADHD) and effective therapeutic strategies, the present study aimed to investigate the effects of auriculotherapy on sleep quality in children with ADHD. …”
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332
Enhancing Handwritten Digit Recognition using Auxiliary Classifier Generative Adversarial Networks and Self-attention Mechanism
Published 2025-01-01“…This research study investigates the integration of the self-attention mechanism and the Auxiliary Classifier Generative Adversarial Networks (ACGAN)to improve handwritten digital recognition using the MNIST data set. …”
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333
Economic Evaluation of a Novel Treatment of Attention-Deficit/Hyperactivity Disorder in US Motor Vehicle Drivers
Published 2024-09-01“…**Background:** Attention-deficit/hyperactivity disorder (ADHD) affects approximately 4.4% of US adults. …”
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334
DS-SwinUNet: Redesigning Skip Connection With Double Scale Attention for Land Cover Semantic Segmentation
Published 2025-01-01“…In recent years, the development of visual transformer has gradually replaced convolutional neural networks in the visual domain with attention computation, causing pure transformer networks to become a trend. …”
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335
Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT
Published 2024-11-01“…We suggest an attention-based, stacked, two-layer CNN-Bi-LSTM DNN to overcome these glitches. …”
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336
A Cloud API Personalized Recommendation Method Based on Multiple Attribute Features and Mashup Requirement Attention
Published 2025-01-01Subjects: “…Attention mechanism…”
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337
Impact of psychostimulants on microbiota and short-chain fatty acids alterations in children with attention-deficit/hyperactivity disorder
Published 2025-01-01“…Abstract Attention-deficit/hyperactivity disorder (ADHD), a common neurodevelopmental disorder in children, is associated with alterations in gut microbiota and short-chain fatty acids (SCFAs), which are metabolites influencing the gut-brain axis. …”
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338
Feature Fusion Model Using Transfer Learning and Bidirectional Attention Mechanism for Plant Pipeline Leak Detection
Published 2025-01-01Subjects: Get full text
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339
Alterations of attention and impulsivity in the rat following a transgenerational decrease in dietary omega-3 fatty acids
Published 2018-03-01“…The present study investigated the effects of nutritional omega-3 PUFAs on attentional functions and impulsive behavior in Wistar rats. …”
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340
Research on power plant security issues monitoring and fault detection using attention based LSTM model
Published 2025-01-01“…Methodology For the purpose of this investigation, an attention-based long short-term memory (Att-LSTM) model was used for the categorization of time series actual data. …”
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