Network architecture of transcriptomic stress responses in zebrafish embryos [0.03%]
斑马鱼胚胎转录组应激反应的网络架构
Kaylee Beine,Lauric Feugere,Alexander P Turner et al.
Kaylee Beine et al.
Protein-protein interaction (PPI) network topology can contribute to explaining fundamental properties of genes, from expression levels to evolutionary constraints. Genes central to a network are more likely to be both conserved and highly ...
SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders [0.03%]
用于胃肠疾病高级内镜图像分类的新型卷积神经网络架构SNet
Samra Siddiqui,Junaid A Khan,Tallha Akram et al.
Samra Siddiqui et al.
With the intent of assisting gastroenterologists from all over the world, the proposed work aims to eliminate the effort required to achieve accurate diagnoses. Statistically, gastrointestinal diseases often result in fatal disorders, contr...
Individual differences in medial temporal lobe functional network architecture predict the capacity for sleep-related consolidation of emotional memories in older adults [0.03%]
内侧颞叶功能网络结构的个体差异可预测老年人睡眠巩固情绪记忆的能力
Miranda G Chappel-Farley,Jenna N Adams,Richard F Betzel et al.
Miranda G Chappel-Farley et al.
Study objectives: Memory consolidation during non-rapid eye movement slow wave sleep (NREM SWS) involves reactivation of a hippocampal index which integrates distributed cortical representations of an experience. This stu...
A novel network architecture for post-applicator placement CT auto-contouring in cervical cancer HDR brachytherapy [0.03%]
HDR宫颈癌后装治疗中一种新的网络架构以实现施用器置放后的CT自动勾画
Yang Lei,Ming Chao,Kaida Yang et al.
Yang Lei et al.
Background: High-dose-rate brachytherapy (HDR-BT) is an integral part of treatment for locally advanced cervical cancer, requiring accurate segmentation of the high-risk clinical target volume (HR-CTV) and organs at risk ...
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture [0.03%]
基于代理的元模型的代理基元模型作为分割任务的代理使用U型网络神经网络架构替代建模
Tien Comlekoglu,J Quetzalcóatl Toledo-Marín,Tina Comlekoglu et al.
Tien Comlekoglu et al.
The Cellular-Potts model is a powerful and ubiquitous framework for developing computational models for simulating complex multicellular biological systems. Cellular-Potts models (CPMs) are often computationally expensive due to the explici...
Innovative Therapeutic Strategies Targeting the Network Architecture of Glioblastoma [0.03%]
针对胶质母细胞瘤网络架构的创新治疗策略
Julius Beichert,Dirk C Hoffmann,Frank Winkler et al.
Julius Beichert et al.
Recent discoveries concerning the network architecture of glioblastoma, including tumor microtubules (TMs) and neuron-glioma synapses, have underscored critical pathways that sustain tumor growth, enhance resistance, and integrate glioblast...
Designing soft and tough multiple-network elastomers: impact of reversible radical deactivation on filler network architecture and fracture toughness [0.03%]
兼具柔软与坚韧的多网络弹性体的设计：可逆自由基失活对交联网络拓扑结构及材料韧性的影响
Aaliyah Z Dookhith,Zidan Zhang,Venkat Ganesan et al.
Aaliyah Z Dookhith et al.
Polymer networks are crucial for engineering and biomedical applications; however, their excessive brittleness in the absence of viscoelastic dissipation limits their use in applications requiring high temperatures and water concentrations....
Comparing neural network architectures for simulating pollutant loads and first flush events in urban watersheds: Balancing specialization and generalization [0.03%]
比较神经网络结构以模拟城市流域中的污染物负荷和首次冲刷事件：平衡专业化与泛化能力
Angela Gorgoglione,Cosimo Russo,Andrea Gioia et al.
Angela Gorgoglione et al.
This study investigates the effectiveness of artificial neural networks (ANNs) models in predicting urban water quality, specifically focusing on first flush (FF) event classification and pollutant event mean load (EML) predictions for tota...
A comparative study of neural network architectures for vital signs monitoring based on the national early warning systems (NEWS) [0.03%]
基于国家早期预警系统（NEWS）的生命体征监测神经网络架构的比较研究
Adel BenAbdennour
Adel BenAbdennour
Objective: The study aims to assess the efficacy of various neural network architectures in predicting the National Early Warning Systems (NEWS) score, using vital signs, to enhance early warning and monitoring in clinical settings. Methods...
Prognostication of zooplankton-driven cholera pathoepidemiological Dynamics: Novel Bayesian-regularized deep NARX neuroarchitecture [0.03%]
基于贝叶斯正则化深度NARX神经网络架构的 zooplankton 驱动的霍乱病理流行病学动态预测
Muhammad Junaid Ali Asif Raja,Adil Sultan,Chuan-Yu Chang et al.
Muhammad Junaid Ali Asif Raja et al.
Background: Cholera outbreaks pose significant health concerns, particularly through freshwater contamination through zooplankton serving as reservoirs for Vibrio Cholerae. Understanding these complex interactions within ...
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