Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir +9 more
wiley +1 more source
Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source
WePWEP: Web-based participatory wind energy planning [2]. Wind energy developments in the county of norfolk. [PDF]
This document results from an effort to compile and make available to the wider public information on wind energy developments in the County of Norfolk.
Simao, A.
core
Wind power in the UK : a guide to the key issues surrounding onshore wind power development in the UK [PDF]
This report is summarised in the Welsh language in 'Ynni gwynt : ateb eich cwestiynau'.This report is summarised in 'Wind power : your questions answered'.This report aims to help policy-makers and planners balance genuine local concerns with wider ...
Sustainable Development Commission
core +2 more sources
Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee +3 more
wiley +1 more source
Optimal Management of a Wind/CAES Power Plant by means of Neural Network Wind Speed Forecast
Some of the major limitations of renewable energy sources are represented by their low power density and intermittent nature, largely depending upon local site and unpredictable weather conditions. These problems concur to increase the unit costs of wind
Vincenzo Marano +7 more
core
Clean energy Australia report 2014 [PDF]
The review of the Renewable Energy Target (RET), which was announced in February 2014 and continued beyond the end of the year, essentially froze new investment in large-scale renewable energy in Australia last year.
Clean Energy Council
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Wind Energy in Saudi Arabia Opportunities and Challenges
Wind energy has been recognized as one of the fastest-growing energy sources in world and as a key role in reducing greenhouse gas emissions, reducing dependence on oil, diversifying energy supply, and providing electricity at a low cost.
Alkinani, Sadeem +3 more
core
Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay +2 more
wiley +1 more source
Optimization of Synthetic Inertial Response from Wind Power Plants
In this paper the emphasis is on the optimization of synthetic inertial response of wind power plants (WPPs) for power systems with high wind power penetration levels, considering different wind speed operating conditions. The synthetic inertial response
Müfit Altin +3 more
doaj +1 more source

