Results 101 to 110 of about 38,453 (306)
Byte-based Language Identification with Deep Convolutional Networks
We report on our system for the shared task on discriminating between similar languages (DSL 2016). The system uses only byte representations in a deep residual network (ResNet).
Bjerva, Johannes
core +1 more source
Diabetic bone marrow exhibits pathological ECM hyperviscosity that activates TRPV2‐mediated Ca2⁺ influx, leading to perinuclear F‐actin disassembly, nuclear deformation, and chromatin condensation. This cytoskeletal‐nuclear decoupling suppresses osteogenic differentiation of BMSCs.
Yao Wen +8 more
wiley +1 more source
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao +4 more
wiley +1 more source
Astrocytic PERK Deficiency Drives Prefrontal Circuit Dysfunction and Depressive‐Like Behaviors
Chen et al. show that the endoplasmic reticulum (ER) stress sensor PERK is downregulated in prefrontal cortex (PFC) astrocytes in major depressive disorder and in chronic‐stress mouse models. In young mice, astrocyte‐specific PERK loss reduces the synaptogenic cue thrombospondin‐1 (TSP1), leading to synaptic and circuit deficits and depressive‐like ...
Kai Chen +8 more
wiley +1 more source
The Disordered Region of ASXL1 Acts as an Auto‐Regulator Through Condensation
ASXL1's long IDR encodes an electrostatic “basic platform + acidic brake” that autoregulates condensation. Truncation at a clinical hotspot lifts this brake, forming condensates that retarget BRD2, remodel local chromatin accessibility, and impair neutrophil maturation.
Xiao Fang, Qiwei Li, Wenqing Zhang
wiley +1 more source
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
Protein secondary structure prediction is an important problem in bioinformatics. Inspired by the recent successes of deep neural networks, in this paper, we propose an end-to-end deep network that predicts protein secondary structures from integrated ...
Li, Zhen, Yu, Yizhou
core
Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du +5 more
wiley +1 more source
BIDIRECTIONAL GATED RECURRENT UNIT FOR SHALLOW PARSING [PDF]
openaire +1 more source
Multivariate bidirectional gate recurrent unit for improving accuracy of energy prediction
Energy prediction is an important process in energy management, especially regarding demand response. Energy predictions are often carried out for load forecasting or energy generation forecasting of renewable energy. This paper explains the implementation of multi-variables in the development of recurrence neural network models to predict load energy ...
Quota Alief Sias +2 more
openaire +2 more sources
Using human induced pluripotent stem cells (hiPSCs)‐derived neuronal model, Tian and colleagues reveal that voltage‐gated calcium channels Cav1.2 and Cav1.3, and their mediated calcium ion influx, are essential for early morphogenesis of human neuronal development, while ECEL1 underlies human neuronal functional developmental maturation through CALM3 ...
Yue Tian +5 more
wiley +1 more source

