DataDesc: A framework for creating and sharing technical metadata for research software interfaces [0.03%]
DataDesc：用于创建和共享研究软件接口技术元数据的框架
Patrick Kuckertz,Jan Göpfert,Oliver Karras et al.
Patrick Kuckertz et al.
The reuse of research software is central to research efficiency and academic exchange. The application of software enables researchers to reproduce, validate, and expand upon study findings. The analysis of open-source code aids in the com...
Hyunghoon Cho
Hyunghoon Cho
The possibility that single-cell gene expression datasets could leak information about individuals' genotypes has been largely unexplored. Walker et al. showed that even noisy genotype predictions derived from these data can be linked to th...
Hopfield and Hinton's neural network revolution and the future of AI [0.03%]
霍普费尔德和辛顿的神经网络革命以及人工智能的未来
James Z Wang,Brad Wyble
James Z Wang
In this opinion piece, the authors, from the fields of artificial intelligence (AI) and psychology, reflect on how the foundational discoveries of Nobel laureates Hopfield and Hinton have influenced their research. They also discuss emergin...
Toward a tipping point in federated learning in healthcare and life sciences [0.03%]
面向医疗和生命科学中联合学习的临界点时代的到来
Inken Hagestedt,Ian Hales,Eric Boernert et al.
Inken Hagestedt et al.
We discuss the real-world application of federated learning (FL) in the healthcare and life sciences industry, noting a tipping point in its adoption beyond academia. Sharing our experiences with multi-hospital and multi-pharma collaboratio...
Segmentation tracking and clustering system enables accurate multi-animal tracking of social behaviors [0.03%]
segmentation跟踪和聚类系统能够准确地进行多动物社会行为的跟踪研究
Cheng Tang,Yang Zhou,Shuaizhu Zhao et al.
Cheng Tang et al.
Accurate analysis of social behaviors in animals is hindered by methodological challenges. Here, we develop a segmentation tracking and clustering system (STCS) to address two major challenges in computational neuroethology: reliable multi-...
A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection [0.03%]
一种潜转移学习方法，用于估计SARS-CoV-2感染后各医院在急性后期对医疗的需求量
Qiong Wu,Nathan M Pajor,Yiwen Lu et al.
Qiong Wu et al.
The long-term complications of COVID-19, known as the post-acute sequelae of SARS-CoV-2 infection (PASC), significantly burden healthcare resources. Quantifying the demand for post-acute healthcare is essential for understanding patients' n...
A multi-dimensional approach to the future of digital research infrastructure for systemic environmental science [0.03%]
面向环境系统科学的数字研究基础设施多维建设路径
Kelly Widdicks,Faiza Samreen,Gordon S Blair et al.
Kelly Widdicks et al.
Digital research infrastructure (DRI) for environmental science requires significant transformation to support the changing nature of science and utilize digital innovations. Numerous challenges prevent this change yet simultaneously pose e...
Modularized neural network incorporating physical priors for future building energy modeling [0.03%]
结合物理先验的模块化神经网络在建筑能耗预测中的应用
Zixin Jiang,Bing Dong
Zixin Jiang
Building energy modeling (BEM) is fundamental for achieving optimized energy control, resilient retrofit designs, and sustainable urbanization to mitigate climate change. However, traditional BEM requires detailed building information, expe...
Xiaozhi Fu
Xiaozhi Fu
Evolutionary-based machine learning models have emerged as a fascinating approach to mapping the landscape for protein evolution. Lian et al. demonstrated that evolution-based deep generative models, specifically variational autoencoders, c...
Torec T Luik,Rodrigo Rosas-Bertolini,Eric A J Reits et al.
Torec T Luik et al.
In the rapidly evolving field of bioimaging, the integration and orchestration of findable, accessible, interoperable, and reusable (FAIR) image analysis workflows remains a challenge. We introduce BIOMERO (bioimage analysis in OMERO), a br...