Results 81 to 90 of about 1,572,659 (339)
A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak +8 more
wiley +1 more source
An increase in plantar pressure and skin temperature is commonly associated with an increased risk of diabetic foot ulcers. However, the effect of insoles in reducing plantar temperature has not been commonly studied.
Martha Zequera +8 more
doaj +1 more source
Low-Complexity QRD-M with Path Eliminations in MIMO-OFDM Systems
The QR decomposition-M algorithm (QRD-M) is a popular signal detector which has similar error performance with maximum likelihood (ML) in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems.
Jae-Hyun Ro +3 more
doaj +1 more source
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié +16 more
wiley +1 more source
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande +11 more
wiley +1 more source
Heisenberg-Limited Adaptive Gradient Estimation for Multiple Observables
In quantum mechanics, measuring the expectation value of a general observable has an inherent statistical uncertainty that is quantified by variance or mean squared error of measurement outcome.
Kaito Wada +2 more
doaj +1 more source
Day-ahead and Intraday wind speed forecasting method based on OS-ELM model with CEEMDAN
This paper presents a model for day-ahead and intraday wind speed forecasting, integrating Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and the Online Sequential Extreme Learning Machine (OS-ELM).
Nguyen Thi Hoai Thu +2 more
doaj +1 more source
Brown dwarfs in Eddington-inspired Born-Infeld and beyond Horndeski theories
We studied herein the mass and the radius of brown dwarfs predicted by beyond Horndeski (BH) and Eddington-inspired Born-Infeld (EiBI) gravity theories by numerically solving the modified non-relativistic hydrostatic equations of both theories. We used a
A. S. Rosyadi +3 more
doaj +1 more source
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
Comparisons of the Performances of Estimators of a Bounded Normal Mean Under Squared-Error Loss
This paper is concerned with the estimation under squared-error loss of a normal mean θ based on X ∼ N (θ, 1) when |θ| ≤ m for a known m > 0. Nine estimators are compared, namely the maximum likelihood estimator (mle), three dominators of the mle ...
Yiping Dou , Constance van Eeden
doaj +1 more source

