Results 81 to 90 of about 384,701 (284)

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

open access: yesFEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui   +10 more
wiley   +1 more source

Efficient computational modeling of electronic stopping power of organic polymers for proton therapy optimization

open access: yesScientific Reports
This comprehensive study delves into the intricate interplay between protons and organic polymers, offering insights into proton therapy in cancer treatment.
F. Matias   +9 more
doaj   +1 more source

Almost the Best of Three Worlds: Risk, Consistency and Optional Stopping for the Switch Criterion in Nested Model Selection [PDF]

open access: yes, 2016
We study the switch distribution, introduced by Van Erven et al. (2012), applied to model selection and subsequent estimation. While switching was known to be strongly consistent, here we show that it achieves minimax optimal parametric risk rates up to ...
Grünwald, Peter   +1 more
core   +2 more sources

Development of human monoclonal antibodies against TARM1 by yeast display

open access: yesFEBS Open Bio, EarlyView.
Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe   +5 more
wiley   +1 more source

The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses

open access: yesSystematic Reviews
Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of ...
Josien Boetje, Rens van de Schoot
doaj   +1 more source

Some One-Sided Stopping Rules

open access: yesThe Annals of Mathematical Statistics, 1967
Suppose that $x_1, x_2, \cdots$ are random variables with means $\mu_1, \mu_2, \cdots$ such that \begin{equation*}\tag{1}n^{-1}(\mu_1 + \cdots + \mu_n) \rightarrow \mu\quad (0 0$ let $\tau = \tau(c) = \text{first}\quad n \geqq 1\quad\text{such that}\quad s_n > cf(n)\\= \infty\quad\text{if no such}\quad n\quad\text{exists}.$ We are interested in ...
openaire   +3 more sources

Establishing an assay to evaluate d‐amino acid oxidase enzyme kinetics and inhibition using WST‐8 redox dye

open access: yesFEBS Open Bio, EarlyView.
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake   +4 more
wiley   +1 more source

YIPFα1A expression is regulated by multilayered molecular mechanisms

open access: yesFEBS Open Bio, EarlyView.
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji   +2 more
wiley   +1 more source

Martingale Stopping Rule Application in Bayesian A/B Testing With Batch Data

open access: yesIEEE Access
Continuous monitoring in A/B testing is widely used for selecting options, variants, or treatments in healthcare analytics. However, the appropriate stopping strategy for A/B testing in continuous monitoring remains unclear.
Yali Wang   +3 more
doaj   +1 more source

The role of multiple neuromodulators in reinforcement learning that is based on competition between eligibility traces

open access: yesFrontiers in Synaptic Neuroscience, 2016
The ability to maximize reward and avoid punishment is essential for animal survival. Reinforcement learning (RL) refers to the algorithms used by biological or artificial systems to learn how to maximize reward or avoid negative outcomes based on past ...
Marco A Huertas   +2 more
doaj   +1 more source

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