Results 141 to 150 of about 71,682 (342)

Anti-inflammatory properties of Amomum maximum Roxb and Amomum muricarpum Elmer in the North of Vietnam

open access: diamond, 2021
Phạm Anh Thư   +3 more
openalex   +1 more source

cDC1 Subtype‐Specific In Vivo Targeting of Liposomes

open access: yesAdvanced Science, EarlyView.
Dendritic cells, particularly the cDC1 subtype, offer a promising target for drug delivery via liposomes due to their pivotal role in immune regulation, allowing for amplified therapeutic responses. Herein, we show an integration of physicochemical characterization and cell experiments to achieve effective in vivo cDC1 targeting through anti‐CLEC9A ...
Maximilian Schaaf   +11 more
wiley   +1 more source

The simulation of ELM suppression by ion cyclotron resonance heating in EAST using BOUT++

open access: green, 2022
Yanlong Li   +10 more
openalex   +2 more sources

Decoding the Integrated Stress Response of Pancreatic Cancer: Identifying a Serine‐dependent Tumor Subset Under Metabolic Relationships With CAFs.

open access: yesAdvanced Science, EarlyView.
Researchers identified a pancreatic cancer subset with low global protein synthesis but heightened translation of stress‐response genes like ATF4, rendering cells resistant to chemotherapy and apoptosis. These tumors depend on serine and cysteine from surrounding cancer‐associated fibroblasts (CAFs), which shift to produce serine by curbing collagen ...
Sauyeun Shin   +25 more
wiley   +1 more source

Helix Alignment, Chevrons, and Edge Dislocations in Twist‐Bend Ferroelectric Nematics

open access: yesAdvanced Science, EarlyView.
The recently discovered twist‐bend ferroelectric nematic (NTBF) is the new member of the multiferroic family, representing a fluid with an oblique helicoidal (heliconical) periodic structure of spontaneous electric polarization. The work presents a thorough exploration of the material properties of this phase, how the periodic modulation of ...
Bijaya Basnet   +8 more
wiley   +1 more source

Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset

open access: yesMachine Learning: Science and Technology
Using supervised learning to train a machine learning model to predict an on-coming edge localized mode (ELM) requires a large number of labeled samples.
Finn H O’Shea   +4 more
doaj   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

open access: yesAdvanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel   +12 more
wiley   +1 more source

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