Results 101 to 110 of about 14,258 (262)
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
SceneGPT: A Language Model for 3D Scene Understanding
Building models that can understand and reason about 3D scenes is difficult owing to the lack of data sources for 3D supervised training and large-scale training regimes. In this work we ask - How can the knowledge in a pre-trained language model be leveraged for 3D scene understanding without any 3D pre-training.
openaire +2 more sources
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation
Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang +5 more
wiley +1 more source
Single‐cell atlas of neuroglial dynamics in SNCA‐A53T Parkinson's disease mouse model
We performed single‐cell RNA sequencing of midbrain and striatal tissues from SNCA‐A53T Parkinson's disease (PD) mice, revealing glia‐enriched PD‐risk gene signatures and disease‐specific subpopulations. Transcriptional dysregulation of key TFs (e.g., Rorb, Foxc1) and enhanced neuroinflammatory signaling (SEMA, CCL, MIF) were identified.
Binqing Qin +7 more
wiley +1 more source
SnRNA‐seq reveals cellular heterogeneity and proliferation mechanisms in limb venous malformations
To dissect the cellular heterogeneity and invasive mechanisms of limb venous malformations (VMs), this study first obtained tissue samples from four patients with VMs and four normal controls (NC). Single‐nucleus suspension was prepared, followed by transcriptome library construction and sequencing. After pretreatment, quality control, standardization,
Junjie Lin +13 more
wiley +1 more source
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino +2 more
wiley +1 more source
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source

