Results 101 to 110 of about 829,480 (295)

Research on multi-market coupled bidding strategy for photovoltaic storage joint system considering carbon emission reduction benefits

open access: yesDiance yu yibiao
In the context of the dual carbon target, the “new energy+energy storage” joint system is rapidly developing in a multi-market coupled trading environment.
YANG Xiyun   +3 more
doaj   +1 more source

Unlocking the potential of cell‐permeable nanobodies for intracellular applications

open access: yesFEBS Letters, EarlyView.
This review outlines current strategies for delivery of nanobodies into cells and highlights recent examples of functional applications. By addressing and manipulating intracellular targets, these molecules hold great potential for treating cancer, respiratory diseases and neurological disorders, making this a vibrant area of research in the biomedical
Mariona Gené‐Verdés   +2 more
wiley   +1 more source

Alterable Electricity Pricing Mechanism Considering the Deviation of Wind Power Prediction

open access: yes, 2020
Fluctuation and prediction errors of wind power would cause a large amount of automatic generation control (AGC) adjustment costs, which lead to the problem of power curtailment.
Qinqin Cai   +3 more
core   +1 more source

TOPSIS for Single Valued Neutrosophic Soft Expert Set Based Multi-attribute Decision Making Problems [PDF]

open access: yesNeutrosophic Sets and Systems, 2015
In the paper, we propose Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique for solving single valued neutrosophic soft set expert based multi-attribute decision making problems.
Surapati Pramanik   +2 more
doaj  

Linear maps on the space of all bounded observables preserving maximal deviation

open access: yesJournal of Functional Analysis, 2003
In this paper we determine all the bijective linear maps on the space of bounded observables which preserve a fixed moment or the variance. Nonlinear versions of the corresponding results are also presented.
Molnár, Lajos, Barczy, Mátyás
openaire   +3 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

Maximizing Value of Wind Power Allocation: a Multi-objective Optimization approach

open access: yes, 2012
The trade-off between average output and standard deviation of the aggregated wind power output in Europe was investigated using a multi-objective optimization approach.
Odenberger, Mikael,   +3 more
core   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

open access: yesMolecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura   +19 more
wiley   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

A Nonlinear Programming and Artificial Neural Network Approach for Optimizing the Performance of a Job Dispatching Rule in a Wafer Fabrication Factory

open access: yesApplied Computational Intelligence and Soft Computing, 2012
A nonlinear programming and artificial neural network approach is presented in this study to optimize the performance of a job dispatching rule in a wafer fabrication factory.
Toly Chen
doaj   +1 more source

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