Measurement of the rate of stellar tidal disruption flares
We report an observational estimate of the rate of stellar tidal disruption flares (TDFs) in inactive galaxies, based on a successful search for these events among transients in galaxies using archival SDSS multi-epoch imaging data (Stripe 82).
Farrar, Glennys R., van Velzen, Sjoert
core +1 more source
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Dropout in Neural Networks Simulates the Paradoxical Effects of Deep Brain Stimulation on Memory
Neuromodulation techniques such as deep brain stimulation (DBS) are a promising treatment for memory-related disorders including anxiety, addiction, and dementia.
Shawn Zheng Kai Tan +5 more
doaj +1 more source
A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience
Under uncertain conditions, stronger supply chain resilience can effectively reduce disruption risks and help enterprises achieve their goal of high-quality operations.
Feipeng Huang
doaj +1 more source
We present a new method to derive the cluster disruption time in selected regions of galaxies from the mass or age distribution of magnitude-limited cluster samples. If the disruption time of clusters in a region of a galaxy depends on their initial mass
Barbaro +45 more
core +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
An interpretable disruption predictor on EAST using improved XGBoost and SHAP
The development of a disruption predictor using a data-driven solution is an effective way to avoid or mitigate tokamak device disruptions. The black-box nature of the model itself determines the agnostic nature of its decision base and becomes a key ...
D.M. Liu +7 more
doaj +1 more source
Machine Learning for Plasma Disruption Prediction in TCABR
Plasma disruptions are one of the most critical challenges in tokamak operations, as they can severely damage reactor components and compromise fusion performance.
Vinicius M. Neto +3 more
doaj +1 more source
Characterisation of adhesion of a probiotic bacterium Lactobacillus rhamnosus HN001 to extracellular matrix proteins and the intestinal cell line Caco-2 : a thesis presented to Massey University in partial fulfilment of the requirement for the degree of Master of Science in Microbiology [PDF]
This study focuses on Lactobacillus rhamnosus HN001, a potential candidate for use as a probiotic. Probiotics are microorganisms that can exert a beneficial effect on a host.
Authier, Astrid
core
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source

