NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy [0.03%]
基于透射光时移显微成像的转导熵和语义分割监测神经突变化
Arianna Mencattini,Alida Spalloni,Paola Casti et al.
Arianna Mencattini et al.
One of the most challenging frontiers in biological systems understanding is fluorescent label-free imaging. We present here the NeuriTES platform that revisits the standard paradigms of video analysis to detect unlabeled objects and adapt ...
Exploring energy grid resilience: The impact of data, prosumer awareness, and action [0.03%]
探索能源电网的韧性：数据、生产消费者意识和行动的影响
Rolf Egert,Jörg Daubert,Stephen Marsh et al.
Rolf Egert et al.
The transition of energy grids toward future smart grids is challenging in every way: politically, economically, legally, and technically. While many aspects progress at a velocity unthinkable a generation ago, one aspect remained mostly do...
Causal interactions from proteomic profiles: Molecular data meet pathway knowledge [0.03%]
蛋白质组谱型的因果互作：分子数据与途径知识相结合
Özgün Babur,Augustin Luna,Anil Korkut et al.
Özgün Babur et al.
We present a computational method to infer causal mechanisms in cell biology by analyzing changes in high-throughput proteomic profiles on the background of prior knowledge captured in biochemical reaction knowledge bases. The method mimics...
Building a best-in-class automated de-identification tool for electronic health records through ensemble learning [0.03%]
基于集成学习的最优电子健康档案自动去识别化工具的研究与开发
Karthik Murugadoss,Ajit Rajasekharan,Bradley Malin et al.
Karthik Murugadoss et al.
The presence of personally identifiable information (PII) in natural language portions of electronic health records (EHRs) constrains their broad reuse. Despite continuous improvements in automated detection of PII, residual identifiers req...
Milad Alshomary,Henning Wachsmuth
Milad Alshomary
The maturity of the computational argumentation field, demonstrated with the first live debate between a machine and a human,1 triggers a demanding question: how can we build argumentation technologies that bring people together? We believe...
Richard Y Li,Sharvari Gujja,Sweta R Bajaj et al.
Richard Y Li et al.
Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex molecular underpinnings of human disease from a genome-wide perspective....
AutoStepfinder: A fast and automated step detection method for single-molecule analysis [0.03%]
自动步进查找器：单分子分析的快速自动化步进检测方法
Luuk Loeff,Jacob W J Kerssemakers,Chirlmin Joo et al.
Luuk Loeff et al.
Single-molecule techniques allow the visualization of the molecular dynamics of nucleic acids and proteins with high spatiotemporal resolution. Valuable kinetic information of biomolecules can be obtained when the discrete states within sin...
A community effort to identify and correct mislabeled samples in proteogenomic studies [0.03%]
一项识别和更正蛋白质基因组研究中错误标注样本的社区努力
Seungyeul Yoo,Zhiao Shi,Bo Wen et al.
Seungyeul Yoo et al.
Sample mislabeling or misannotation has been a long-standing problem in scientific research, particularly prevalent in large-scale, multi-omic studies due to the complexity of multi-omic workflows. There exists an urgent need for implementi...
Erik Hoel
Erik Hoel
Understanding of the evolved biological function of sleep has advanced considerably in the past decade. However, no equivalent understanding of dreams has emerged. Contemporary neuroscientific theories often view dreams as epiphenomena, and...
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks [0.03%]
基于卷积循环神经网络的微观组织自监督学习与预测
Kaiqi Yang,Yifan Cao,Youtian Zhang et al.
Kaiqi Yang et al.
Microstructural evolution is a key aspect of understanding and exploiting the processing-structure-property relationship of materials. Modeling microstructure evolution usually relies on coarse-grained simulations with evolution principles ...