Results 141 to 150 of about 32,466,082 (318)

Spatio-Temporal Data Model for Early Wildfire Detection

Fire
Early detection is a key tool for mitigating the devastating effects of wildfires. Single-frame detection methods that do not consider inter-frame dependencies often fail to detect smoke plumes at the earliest stage and at greater distances, or produce ...
Damir Krstinić, Jakov Bejo, Toma Sikora, Marin Bugarić   +3 more
doaj   +1 more source

ncihtan/data-models: v24.1.2

<h2>What's Changed</h2> <ul> <li>Add SureSelect v6 to Target Capture Kit by @adamjtaylor in https://github.com/ncihtan/data-models/pull/339</li> </ul> <p><strong>Full Changelog</strong>: https ...
PozhidayevaDarya, Sujay Patil, David L Gibbs, Adam Taylor, elv-sb, Brynn Zalmanek, Yooree Chae, milen-sage, Artem Sokolov, Lingling, Ashley Clayton, ecerami, Clarisse Lau, Rongrong Chai   +13 more
core   +1 more source

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

FEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi, João C. Encarnação, Valeria Napolitano, Grzegorz Dubin, Grzegorz Popowicz, Karl Andersson, U. Helena Danielson   +6 more
wiley   +1 more source

OSDBA: A Bilingual Ontology for the Representation of Shang Dynasty Bronze Artifacts With Archaeometallurgical Knowledge

IEEE Access
The bronze artifacts of the Shang Dynasty serve as pivotal carriers of early Chinese civilization’s technological and cultural achievements, with their intricate classification systems and multidimensional attributes (e.g., metallurgical ...
Meng Jiang, Huiru Lian, Chenyuan Li, Mingyu Huang, Kunlong Chen   +4 more
doaj   +1 more source

Atmospheric transmission models for FORCAST (39deg O3): altitude 35kft, zenith 40deg

This dataset contains atmospheric transmission models calculated by a modified version of ATRAN (atran_sdc). They are to be used as the default models for FORCAST data reduction with SOFIA Redux.
SOFIA Data Center
core   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Atmospheric transmission models for FORCAST (39deg O3): altitude 35kft, zenith 65deg

This dataset contains atmospheric transmission models calculated by a modified version of ATRAN (atran_sdc). They are to be used as the default models for FORCAST data reduction with SOFIA Redux.
SOFIA Data Center
core   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Atmospheric transmission models for FORCAST (39deg O3): altitude 36kft, zenith 45deg

This dataset contains atmospheric transmission models calculated by a modified version of ATRAN (atran_sdc). They are to be used as the default models for FORCAST data reduction with SOFIA Redux.
SOFIA Data Center
core   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source