Results 71 to 80 of about 4,354,487 (343)

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham   +21 more
wiley   +1 more source

Remote sensing data as a potential source for establishment of the 3d cadastre in Slovenia [PDF]

open access: yesGeodetski Vestnik, 2016
The topic of this paper is the challenges of using remote sensing technologies as one of the potential data sources for the establishment of a 3D real property cadastre in Slovenia. More than a decade ago, the legal basis for the registration of property
Petra Drobež   +3 more
doaj   +1 more source

Clonability of Anti-counterfeiting Printable Graphical Codes: A Machine Learning Approach [PDF]

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2019
In recent years, printable graphical codes have attracted a lot of attention enabling a link between the physical and digital worlds, which is of great interest for the IoT and brand protection applications.
O. Taran, Slavi Bonev, S. Voloshynovskiy
semanticscholar   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

A Corner-Highlighting Method for Ambient Occlusion

open access: yesApplied Sciences, 2021
Graphical user experiences are now ubiquitous features, and therefore widespread. Specifically, the computer graphics field and the game industry have been continually favoring the ambient occlusion post-processing method for its superb indirect light ...
Sukjun Park, Nakhoon Baek
doaj   +1 more source

Emerging role of ARHGAP29 in melanoma cell phenotype switching

open access: yesMolecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster   +3 more
wiley   +1 more source

Integrative Systems Biology Visualization with MAYDAY

open access: yesJournal of Integrative Bioinformatics, 2010
Visualization is pivotal for gaining insight in systems biology data. As the size and complexity of datasets and supplemental information increases, an efficient, integrated framework for general and specialized views is necessary.
Symonsy Stephan   +3 more
doaj   +1 more source

Schrift als Komponente der Bildschirmfläche am Beispiel der deutschen Nachrichtensendungen

open access: yesLinguistik Online, 2020
The article focusses the written components of the screen surface in television news programs. The semiotic perspective represented in this article legitimises the viewpoint that they are not (ordinary) language signs. The main concern of this article is
Anna Kapuścińska
doaj   +1 more source

A Statistical Perspective on Discovering Functional Dependencies in Noisy Data

open access: yesSIGMOD Conference, 2020
We study the problem of discovering functional dependencies (FD) from a noisy data set. We adopt a statistical perspective and draw connections between FD discovery and structure learning in probabilistic graphical models.
Yunjia Zhang   +2 more
semanticscholar   +1 more source

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