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New Technology and Development Trend of Insulated Gate Bipolar Transistors
Published 2017-01-01“…IGBT with fine-pattern trench gate, thin drift region, field stop as well as enhanced carrier doping concentration in emitter side is the mainstream device structure at present. …”
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AI at the knowledge gates: institutional policies and hybrid configurations in universities and publishers
Published 2025-08-01Get full text
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A child born to immigrant parents at Lepenski Vir
Published 2025-08-01Subjects: Get full text
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A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection
Published 2025-07-01“…In order to address the challenge of coarse-grained fusion in multi-stage feature integration, a feature information gating-adaptive fusion module (FGAF-Fusion) is proposed, which facilitates interactive channel-spatial information fusion through mixed local channel attention while employing gated adaptive fusion operations to selectively retain critical semantic information of small-scale targets. …”
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The cyclic nucleotide-gated channels CNGC2 and CNGC4 support systemic wound responses in Arabidopsis thaliana
Published 2025-08-01“…We hypothesized that members of the cyclic nucleotide-gated family of ion channels (CNGCs) might also be involved in the systemic component of this process.MethodsAn analysis of the systemic induction of defense genes was made using qPCR and patterns of Ca2+ signaling were monitored in plants expressing the GFP-based Ca2+ sensor GCaMP. …”
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Cyclic nucleotide-gated ion channel gene CNGC3 positively regulates immunity against Sclerotinia sclerotiorum in Arabidopsis
Published 2022-10-01“…Functions and mechanisms of cyclic nucleotide-gated ion channel (CNGC) in plant immunity against necrotrophic pathogens remain largely unknown. …”
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Cross-Domain Recommendation With Personalized Rating Pattern Compatibility as Transfer Rate Between Domains
Published 2025-01-01“…Our proposed method compares the rating pattern of the target user across domains to calculate the compatibility level, which is used in the transfer function. …”
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Modeling Ontology-Based Decay Analysis and HBIM for the Conservation of Architectural Heritage: The Big Gate and Adjacent Curtain Walls in Ibb, Yemen
Published 2025-08-01“…This study introduces a comprehensive framework combining Historic Building Information Modeling (HBIM) with ontology-based modeling aligned with the CIDOC Conceptual Reference Model (CIDOC CRM). Focusing on the Big Gate and adjacent curtain walls in Ibb, Yemen, where the gate is entirely lost, the study reconstructs the structure using historical photographs, eyewitness accounts, and analogical references. …”
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PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units
Published 2025-01-01“…This study introduces a novel approach for PPG-based insomnia detection, utilizing Convolutional Neural Network (CNN) with self-attention, CNN with Gated Recurrent Unit (GRU), and transformer-based models. …”
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DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network
Published 2025-08-01“…This paper presents a comprehensive evaluation of six deep learning models (Multilayer Perceptron (MLP), one-dimensional Convolutional Neural Network (1D-CNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network (RNN), and a proposed hybrid CNN-GRU model) for binary classification of network traffic into benign or attack classes. …”
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Detection of Burst Suppression Patterns in EEG Using Recurrence Rate
Published 2014-01-01“…Burst suppression is a unique electroencephalogram (EEG) pattern commonly seen in cases of severely reduced brain activity such as overdose of general anesthesia. …”
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Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult...
Published 2025-01-01“…This study addresses these challenges by proposing an advanced deep learning framework that integrates Time-Dependent Variational Autoencoder (TD-VAE) with Adaptive Gated Self-Attention GRU (AGSA-GRU). The framework incorporates self-attention mechanisms and Multi-Task Learning (MTL) strategies to capture long-term dependencies and complex patterns in energy consumption time series data, while simultaneously optimizing prediction accuracy and anomaly detection. …”
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Hospital Admission Patterns in Children with CAH: Admission Rates and Adrenal Crises Decline with Age
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Lower birth rate, greater female dementia risk: global and regional patterns and public health implications
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Pattern-Based Assessment of the Association of Fetal Heart Variability With Fetal Development and Maternal Heart Rate Variability
Published 2025-01-01“…Prenatal assessment of fetal development is primarily carried out by measuring fetal heart rate (HR) and HR variability (HRV). HRV has been used as an index for the autonomic nervous system (ANS) activity. …”
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Evidence of differences in diurnal electrodermal, temperature and heart rate patterns by mental health status in free-living data
Published 2025-08-01“…We use a non-linear cosinor fitting method to estimate the difference in mesor, amplitude and phase, between the diurnal rhythms in heart rate (HR), heart rate variability (HRV) root mean square of successive differences, EDA, skin temperature and steps.Findings Subjects who exhibited elevated depressive and anxiety symptoms had higher tonic EDA, skin temperature and heart rate, despite not engaging in greater physical activity, compared with those that were not depressed or anxious. …”
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Utilization Patterns and Optimization Suggestions for Wildlife Passages in Xinjiang Nature Reserves
Published 2025-03-01“…This study surveyed and monitored wildlife passages across eight nature reserves in Xinjiang, evaluating their construction status, utilization patterns, and key factors influencing utilization rates, as well as providing optimization recommendations. …”
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A novel transformer-based dual attention architecture for the prediction of financial time series
Published 2025-06-01Get full text
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