Results 51 to 60 of about 4,125,808 (289)

LOCAL ANISOTROPY, HIGHER ORDER STATISTICS, AND TURBULENCE SPECTRA [PDF]

open access: yesThe Astrophysical Journal, 2012
5 pages, 1 figure, submitted to ...
Matthaeus W. H.   +7 more
openaire   +5 more sources

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon   +9 more
wiley   +1 more source

Blind Identification of Convolutive MIMO Systems with 3 Sources and 2 Sensors

open access: yesEURASIP Journal on Advances in Signal Processing, 2002
We address the problem of blind identification of a convolutive Multiple-Input Multiple-Output (MIMO) system with more inputs than outputs, and in particular, the 3-input 2-output case.
De Lathauwer Lieven   +2 more
doaj   +1 more source

Higher order antibunching in intermediate states

open access: yes, 2007
Since the introduction of binomial state as an intermediate state, different intermediate states have been proposed. Different nonclassical effects have also been reported in these intermediate states.
Agarwal   +43 more
core   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

open access: yesMolecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat   +8 more
wiley   +1 more source

Effective Feature Selection Method for Deep Learning-Based Automatic Modulation Classification Scheme Using Higher-Order Statistics

open access: yesApplied Sciences, 2020
Recently, in order to satisfy the requirements of commercial communication systems and military communication systems, automatic modulation classification (AMC) schemes have been considered. As a result, various artificial intelligence algorithms such as
Sang Hoon Lee, Kwang-Yul Kim, Yoan Shin
doaj   +1 more source

Probing higher order correlations of the photon field with photon number resolving avalanche photodiodes

open access: yes, 2011
We demonstrate the use of two high speed avalanche photodiodes in exploring higher order photon correlations. By employing the photon number resolving capability of the photodiodes the response to higher order photon coincidences can be measured.
,   +5 more
core   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

FPGA-Based Smart Sensor for Detection and Classification of Power Quality Disturbances Using Higher Order Statistics

open access: yesIEEE Access, 2017
Power quality (PQ) has received the attention of several research groups due to the impact of PQ disturbances (PQDs) and how they affect the operation of the electrical equipment connected to the grid, especially in industrial and healthcare facilities ...
Gerardo De J. Martinez-Figueroa   +4 more
doaj   +1 more source

Denoising by Higher Order Statistics [PDF]

open access: yes, 2011
A standard approach for deducing a variational denoising method is the maximum a posteriori strategy. Here, the denoising result is chosen in such a way that it maximizes the conditional density function of the reconstruction given its observed noisy version.
Teuber, Tanja   +3 more
openaire  

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