Results 101 to 110 of about 27,398 (301)

A Radioresistant‐Tumor‐Targeted Nanoparticle for X‐Ray‐Controlled Nitric Oxide Release to Potentiate Radiotherapy

open access: yesAdvanced Science, EarlyView.
The PBTN targets GRP78 and, upon X‐ray irradiation, generates ONOO− to induce immunogenic cell death, thereby activating CD8+ T cells and establishing a systemic antitumor immune response. ABSTRACT Nitric oxide (NO) treated radioresistant tumors by relieving hypoxia and blocking DNA repair, but its nonselective toxicity has precluded therapeutic use ...
Wanze Zhang   +10 more
wiley   +1 more source

Influence of bagging on fruit quality and mineral composition of Himsagar mango grown in new alluvial zones of West Bengal

open access: yesAdvances in Horticultural Science, 2012
The effect of polybagging of mango (Mangifera indica L.) fruits was evaluated at different stages of fruit development (35, 45, 55 and 65 days after fruit set).
P. Dutta, D. Majumder
doaj   +1 more source

Bagging Equalizes Influence [PDF]

open access: yesMachine Learning, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Vision localization algorithms for apple bagging robot

open access: yes, 2017
Vision localization apple bagging robot is researched in this paper for young apples. The key technologies of the young fruit stereoscopic images recognizing and positioning are studied in the visible light of the natural environment.
Hongwei Gao   +7 more
core   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

open access: yesAdvanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang   +14 more
wiley   +1 more source

Prediction of Oestrus in Dairy Cows: An Application of Machine Learning to Skewed Data

open access: yes, 2009
The Dairy industry requires accurate detection of oestrus(heat) in dairy cows to maximise output of the animals. Traditionally this is a process dependant on human observation and interpretation of the various signs of heat.
Lynam, Adam David
core  

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

open access: yesAdvanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang   +6 more
wiley   +1 more source

Microglia‐Targeted Biomimetic Tetrahedral Framework Nucleic Acid Nanovesicles for Synergistic Treatment of Sepsis‐Associated Encephalopathy

open access: yesAdvanced Science, EarlyView.
Sepsis‐associated encephalopathy (SAE) lacks effective therapies. We developed ME@FDsi, a biomimetic nanodrug using a tetrahedral framework nucleic acid to deliver disulfiram and siTNFα. It crosses the blood‐brain barrier, targets M1 microglia, inhibits pyroptosis and inflammation, and scavenges ROS.
Huimin Shi   +15 more
wiley   +1 more source

Bagging Behavior of Different Fabric Structures Knitted From Blended Yarns Using Image Processing

open access: yes, 2012
This work focuses on the effect of blend ratios and fabric structure on the residual bagging height of knitted fabrics produced from blended rotor yarns using image analysis technique.
Hasani, Hossein   +2 more
core   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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