Results 241 to 250 of about 1,456,073 (333)

Recommendations for Improving the Modeling of Wintering Waterbird Population Sizes and Trends. [PDF]

open access: yesEcol Evol
Godeau U   +12 more
europepmc   +1 more source

Compliant Polymeric Sheet‐Based Heat Exchangers

open access: yesAdvanced Science, EarlyView.
This work presents flexible, transparent, and deployable polymer heat exchangers that achieve a heat transfer capacity per cost up to 4x higher than the state of the art, surpassing both metal and other polymer counterparts. The tube‐on‐tube design enables efficient heat transfer without flow occlusion, while the lightweight, corrosion‐resistant, and ...
Richard J. Fontenot   +5 more
wiley   +1 more source

A Microfiber‐Reinforced Janus Hydrogel E‐Skin With Recyclable Feature for Multimodal Sensing and Gender‐Specific Physiological Monitoring

open access: yesAdvanced Science, EarlyView.
Hydrogel‐based wearable electronics hold great promise for physiological monitoring in privacy‐sensitive regions. In this study, a polyurethane (PU) microfiber‐reinforced gelatin hydrogel e‐skin is developed, boasting multiple advantages such as ultra‐thinness, high toughness, and long‐term skin conformability.
Yarong Ding   +11 more
wiley   +1 more source

Performing Under Pressure: Maintenance of Donor Lung Pressure During Cabin Depressurization. [PDF]

open access: yesInterdiscip Cardiovasc Thorac Surg
Eisenga J   +3 more
europepmc   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang   +13 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao   +11 more
wiley   +1 more source

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