Results 181 to 190 of about 61,424 (233)

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

open access: yesAdvanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang   +15 more
wiley   +1 more source

Bioorthogonal Fluorogenic Reporters for Noninvasive Imaging and Urinalysis of Immunotherapeutic Response in Renal Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
This study reported renal‐clearable bio‐orthogonal near‐infrared fluorogenic probes (BGRs) that specifically imaging and urinalysis of granzyme B for dynamic evaluation of RCC immunotherapy. BGRs not only differentiate immunotherapeutic responses in orthotopic RCC mice, but also enable sensitive optical urinalysis of granzyme B in clinical specimens ...
Xingyue Yang   +9 more
wiley   +1 more source

Cells Dynamically Adapt Their Nuclear Volumes and Proliferation Rates During Single to Multicellular Transitions

open access: yesAdvanced Science, EarlyView.
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan   +13 more
wiley   +1 more source

Bedmap3 updated ice bed, surface and thickness gridded datasets for Antarctica. [PDF]

open access: yesSci Data
Pritchard HD   +81 more
europepmc   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

open access: yesAdvanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su   +7 more
wiley   +1 more source

Model-Free Transformer Framework for 6-DoF Pose Estimation of Textureless Tableware Objects. [PDF]

open access: yesSensors (Basel)
Lee J   +7 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy