Results 51 to 60 of about 454,265 (301)

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

open access: yesMolecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker   +16 more
wiley   +1 more source

Detecting Small Signs from Large Images

open access: yes, 2017
In the past decade, Convolutional Neural Networks (CNNs) have been demonstrated successful for object detections. However, the size of network input is limited by the amount of memory available on GPUs. Moreover, performance degrades when detecting small
Chen, Min   +4 more
core   +1 more source

Survivin and Aurora Kinase A control cell fate decisions during mitosis

open access: yesMolecular Oncology, EarlyView.
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir   +2 more
wiley   +1 more source

Study of technical parameters of experimental traffic signs — results obtained within the frames of RID 4F research project

open access: yesMATEC Web of Conferences, 2018
This article presents the principles of selection of colours and the thickness of lines during designing of traffic signs, the legal aspects traffic signs must correspond to, test methods used during assessment of both roadway markings and vertical ...
Lusa Rafał   +5 more
doaj   +1 more source

Automatic Detection of Regulatory Traffic Signs via Circle Detection by Post Edge Detection Applied to Straight Line Hough Transform

open access: yesInternational Journal of Automotive Science and Technology, 2020
In this paper, a new effective method for automatic detection of circular traffic signs is introduced. Automatic traffic sign recognition is a crucial application of Driver Assistance Systems for safe and comfortable driving conditions. The major step of
Seçkin Uluskan
doaj   +1 more source

Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks

open access: yes, 2018
Recognizing Traffic Signs using intelligent systems can drastically reduce the number of accidents happening world-wide. With the arrival of Self-driving cars it has become a staple challenge to solve the automatic recognition of Traffic and Hand-held ...
Kamran, Sharif Amit   +2 more
core   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

open access: yesMolecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He   +8 more
wiley   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

open access: yesMolecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken   +7 more
wiley   +1 more source

Kajian Wacana Pragmatik dalam Penggunaan Teks pada Rambu Lalu Lintas dan Implikasi dalam Pembelajaran Bahasa Indonesia SMA [PDF]

open access: yes, 2018
Analysis of discourse has the most complete and at the same hierarchical arrangement of mutual grammatical sustainable and have a real beginning and end, so it can be delivered either orally or in writing.
, Dr. Yakub Nasucha, M.Hum.   +1 more
core  

Rare Traffic Signs Recognition

open access: yesProceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2, 2021
Recognition of road signs is an important part of the control systems of autonomous vehicles and driver assistance systems. Modern recognition methods based on neural networks require large well-labeled datasets. Marking up data is quite expensive, but it is even more difficult to mark up rare classes of objects.
Tingir Badmaev   +2 more
openaire   +1 more source

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