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A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification
Published 2025“…This study introduces a hybrid deep learning model that combines 3D Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) networks, incorporating residual connections and a soft spatial attention mechanism to overcome these limitations. …”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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Significance of Avicennia Marina in the Arabian Gulf Environment: A Review
Published 2025“…This review addresses the current knowledge gap by providing an overview of Avicennia marina distribution in the Gulf, exploring the significance of its ecosystem services, analyzing the impacts of stressors, and examining conservation and restoration efforts, with attention to nature-based and biotechnological approaches for promoting mangrove growth and conservation in the Gulf.…”
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Efficient self-attention with smart pruning for sustainable large language models
Published 2025“…However, their high computational demands result in significant environmental impacts, particularly in terms of energy and water consumption. …”
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Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation
Published 2024“…As such, in this study, a hierarchical multi-head attention LSTM model is proposed for creating polyphonic symbolic melodies. …”
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Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks
Published 2020“…We explore several designs for the classifier based on convolutional neural networks (CNNs), long-short-term memory networks (LSTMs), and an attention layer. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN
Published 2023“…Furthermore, an ablation study is conducted to analyze the contributions of the discriminator and attention blocks within the MACGAN architecture. The results confirm that both components play significant roles in the effectiveness of MACGAN, with the discriminator ensuring adversarial training and the attention blocks effectively capturing and enhancing important image features.…”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells
Published 2014“…The increase in apoptosis in response to treatment was also apparent in the increase in BAX and the decrease in Bcl-2 levels as well as the proteolytic cleavage of both caspase-3 and PARP as revealed by Western blot. …”
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
Published 2025“…The second block, a Spatio-Temporal Attention mechanism, simultaneously incorporates local and global attentions to capture fine-grained short-term variations and broader trends, enhancing adaptability to rapid cloud movements and irradiance fluctuations. …”
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