Results 51 to 60 of about 2,858,978 (299)

What Is Wrong with Statistical Discrimination? [PDF]

open access: yes, 2021
Statistical discrimination is a form of discrimination that uses statistical inferences about the groups to which individuals belong as grounds for treating them differently.
Sun, Ziyue
core   +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

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park   +6 more
wiley   +1 more source

Discrimination power of knowledge testing items

open access: yesLietuvos matematikos rinkinys, 2017
In the article one fuzzy classification algorithm of dichotomous test questions is proposed. Depending on the level of knowledge measured by the test, the test item for example may well differentiate whether all testees or only testees with strong or only with weak level of knowledge; as well as the test item may badly differentiate testees and ...
Aleksandras Krylovas   +2 more
openaire   +3 more sources

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

open access: yesMolecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang   +9 more
wiley   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Analysis of biology midterm exam items using a comparison of the classical theory test and the Rasch model

open access: yesJPBI (Jurnal Pendidikan Biologi Indonesia)
In biology learning, test instruments are essential for assessing students' understanding of complex concepts. A test instrument is a crucial factor in learning evaluation; however, its implementation remains minimal.
Tanti Priyani, Bowo Sugiharto
doaj   +1 more source

Item - Test Alternate Title

open access: yes
Item - Test Description ...
Item - Test Creator 1   +2 more
core   +1 more source

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani   +9 more
wiley   +1 more source

Quality of AI vs human-generated single best answer questions: a systematic review and meta-analysis

open access: yesMedičnì Perspektivi
Single Best Answer Questions (SBAs) are essential and resource-intensive assessment tools in health professions education. Artificial Intelligence (AI), such as large language models (LLMs), can automate the creation of SBAs; however, evidence comparing ...
Muhammad Shabbir   +6 more
doaj   +1 more source

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