Results 61 to 70 of about 5,685,202 (287)

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

Development of a Biological Dosimeter for Translocation Scoring Based on Two-Color Fluorescence in Situ Hybridization of Chromosome Subsets [PDF]

open access: yes, 1992
Recently fluorescence in situ hybridization protocols have been developed which allow the paining of individual chromosomes using DNA-libraries from sorted human chromosomes.
Cremer, Thomas, Popp, Susanne
core   +1 more source

Automated Essay Scoring: A Literature Review

open access: yesWorking Papers in Applied Linguistics and TESOL, 2015
In recent decades, large-scale English language proficiency testing and testing research have seen an increased interest in constructed-response essay-writing items (Aschbacher, 1991; Powers, Burstein, Chodorow, Fowles, & Kukich, 2001; Weigle, 2002). The
Ian Blood
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

AI-Based Automated Scoring Layer Using Large Language Models and Semantic Analysis

open access: yesApplied Sciences
Automated scoring of open-ended questions is an important research direction in educational technology and artificial intelligence, as manual grading is time-consuming and often subject to inter-rater variation.
Anastasia Vangelova, Veska Gancheva
doaj   +1 more source

Using PRMSE to evaluate automated scoring systems in the presence of label noise

open access: yesWorkshop on Innovative Use of NLP for Building Educational Applications, 2020
The effect of noisy labels on the performance of NLP systems has been studied extensively for system training. In this paper, we focus on the effect that noisy labels have on system evaluation.
Anastassia Loukina   +6 more
semanticscholar   +1 more source

CEACAM1 participation in breast cancer progression

open access: yesMolecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin   +3 more
wiley   +1 more source

Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm

open access: yesMedicina, 2022
Background and Objectives: Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task.
Jae Hoon Cho   +5 more
doaj   +1 more source

Would credit scoring work for Islamic finance? A neural network approach [PDF]

open access: yes, 2014
Purpose – The main aim of this paper is to distinguish whether the decision making process of the Islamic financial houses in the UK can be improved through the use of credit scoring modeling techniques as opposed to the currently used judgmental ...
Mulkeen, James   +8 more
core   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

open access: yesFEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz   +6 more
wiley   +1 more source

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