Tech & Engineering
Updates every hour. Last Updated: 2-Apr-2026 17:15 ET (2-Apr-2026 21:15 GMT/UTC)
Experimental models for cancer brain metastasis
Chinese Medical Journals Publishing House Co., Ltd.Highlights
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The lack of an acceptable and reliable guide for selecting in vitro or in vivo brain metastasis models hinders the development of brain metastasis therapies.
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There is an urgent need to employ accurate in vitro and in vivo models to recapitulate the complexities of brain tumor metastasis and to unravel the intricate cellular and physiological processes involved.
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Precise in vitro and in vivo brain metastasis models are crucial for investigating cellular and molecular mechanisms and serve as preclinical platforms to assess novel treatments.
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An array of emerging techniques, such as bio-three-dimensional (3D) printing, novel real-time imaging, artificial intelligence, and precise gene editing, holds promise for redefining the landscape of cancer brain metastasis model development.
Towards spatial computing: Recent advances in multimodal natural interaction for XR headsets
Higher Education PressPeer-Reviewed Publication
Researchers have conducted the comprehensive review of recent advances in multimodal natural interaction techniques for Extended Reality (XR) headsets, revealing significant trends in spatial computing technologies. This timely review analyzes how recent breakthroughs in artificial intelligence (AI) and large language models (LLMs) are transforming how users interact with virtual environments, offering valuable insights for the future development of more natural, efficient, and immersive XR experiences.
- Journal
- Frontiers of Computer Science
Explanation-based retrieval boosts grammatical error correction
Higher Education PressPeer-Reviewed Publication
Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and publishing. Traditional methods mainly rely on sequence-to-sequence (Seq2Seq) and sequence-to-edit (Seq2Edit) models, while large language models (LLMs) have recently shown strong performance in this area.
- Journal
- Frontiers of Computer Science
New method proposed for ultrarobust underwater kicking phase estimation for robotic exosuit-assisted diving
Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesPeer-Reviewed Publication
- Journal
- Robot Learning
Pairwise statistical comparisons of multiple algorithms
Higher Education PressPeer-Reviewed Publication
In machine learning, it is often necessary to statistically compare the overall performance of two algorithms (e.g., our proposed algorithm and each compared baseline) based on multiple benchmark datasets. In this case, our proposed algorithm is typically referred to as the control algorithm. However, in some cases, it is also essential to conduct pairwise statistical comparisons of multiple algorithms without a control algorithm.
- Journal
- Frontiers of Computer Science
Missing data recovery for heterogeneous graphs with incremental multi-source data fusion
Higher Education PressPeer-Reviewed Publication
Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications. Often, some data are omitted during manual construction, leading to data reduction and performance degeneration on downstream tasks. Existing methods recover the missing data based on the data already within a single graph, neglecting the fact that graphs from different sources share some common nodes due to scope overlap.
- Journal
- Frontiers of Computer Science