Results 51 to 60 of about 31,239 (262)

Innate Immunocompetent hiPSC‐Derived Neurospheroids Capture Early CNS Responses to rAAV

Advanced Science, EarlyView.
Knowledge of human CNS immune responses to AAV‐based gene therapies remains limited due to the lack of immune‐competent human models. Here, a hiPSC‐derived 3D neuroimmune platform integrating neurospheroids and microglia is established using stirred‐tank bioreactors.
Catarina M. Gomes, Gabriela Silva, Mafalda Aleixo, Marta Gomes, Daniel Simão, Stephan J. Holtkamp, Diana D. Lobo, Pradeep Harish, Rosalind Jenkins, Lekh N. Dahal, Rui J. Nobre, Luís de Pereira de Almeida, Mark Trautwein, Paula M. Alves, Catarina Brito   +14 more
wiley   +1 more source

Visual SLAM Based on Improved Line Filtering Decision and Weight Optimization

IEEE Access
In recent years, visual SLAM (Simultaneous Localization and Mapping) based on line feature tracking has garnered widespread attention due to its provision of additional constraints for structured scenes. However, the current mainstream framework, PL-VINS,
Yibo Cao, Zehao Luo, Zhenyu Deng
doaj   +1 more source

Transforming Brain Organoids Into Functional Platforms: Convergence of Engineering, Imaging, AI, and Ethics

Advanced Science, EarlyView.
Brain organoids are emerging as increasingly functional human‐relevant platforms, yet limitations in vascularization, maturation, measurement, and reproducibility still constrain their translational value. This Perspective examines how microfluidics, biofabrication, advanced imaging, electrophysiology, multimodal AI, standardization, and ethical ...
Aishwarya Pantula, Kaustubh Joshi, Swarangi Samant, Greta Babakhanova, Annie Kathuria   +4 more
wiley   +1 more source

A flexible pruning on deep convolutional neural networks

Dianxin kexue, 2022
Despite the successful application of deep convolutional neural networks, due to the redundancy of its structure, the large memory requirements and the high computing cost lead it hard to be well deployed to the edge devices with limited resources ...
Liang CHEN, Yaguan QIAN, Zhiqiang HE, Xiaohui GUAN, Bin WANG, Xing WANG   +5 more
doaj   +2 more sources

Efficient Data Pruning via Early-Stage Prediction Stability and Balanced Sampling

IEEE Access
Recently, deep learning has achieved remarkable performance gains across a wide range of vision tasks, largely driven by increasingly large-scale training datasets.
Chih-Yao Hu, Po-Yung Chou, Cheng-Hung Lin   +2 more
doaj   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

An Information Theory-Inspired Strategy for Automated Network Pruning

International Journal of Computer Vision
Despite superior performance on many computer vision tasks, deep convolution neural networks are well known to be compressed on devices that have resource constraints. Most existing network pruning methods require laborious human efforts and prohibitive computation resources, especially when the constraints are changed.
Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen 0001, Yonghong Tian 0001, Rongrong Ji   +8 more
openaire   +3 more sources

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Early Retinal UCHL1 Dysregulation Coupled With Synaptic Loss Reflects Alzheimer's Disease Severity

Advanced Science, EarlyView.
This study identifies synapse‐enriched deubiquitinase UCHL1 as an early Aβ‐responsive regulator of retinal synaptopathy in Alzheimer's disease. Retinal UCHL1 loss accompanies excitatory synapse degeneration, p75NTR activation, and neuroinflammation, and predicts Braak stage and cognitive decline. Aβ42 fibrils trigger synaptic and UCHL1 depletion before
Altan Rentsendorj, Jean‐Philippe Vit, Alexandre Hutton, Yosef Koronyo, Saba Shahin, Edward Robinson, Ernesto Barron, Anthony Rodriguez, Ousman Jallow, Julia Sheyn, Bhakta Prasad Gaire, Lalita Subedi, Miyah R. Davis, Barathan Gnanabharathi, Alexander V. Ljubimov, Stuart L. Graham, Vivek K. Gupta, Mehdi Mirzaei, Debra Hawes, Katlin Silm, Keith L. Black, Lon S. Schneider, Alfredo A. Sadun, Jesse G. Meyer, Dieu‐Trang Fuchs, Maya Koronyo‐Hamaoui   +25 more
wiley   +1 more source

Ecophysiological Responses to Conventional vs. Sap-Flow Respectful Spur Pruning Across Four Dates During a Drought Vintage: A Case Study in Priorat

Horticulturae
This study compares conventional spur pruning and sap-flow respectful spur pruning, applied at four pruning dates (October, December, January, March), on grapevine ecophysiology, yield, and grape quality in Priorat (Spain) during an exceptionally hot ...
Mora-Sardà Gerard, Dulieu Enzo, Galofré Oriol, Lampreave Miriam, Mateos Assumpta, Mateo-Sanz Josep Maria, Marco Alba, Sánchez-Ortiz Antoni   +7 more
doaj   +1 more source