Purposes: The presence of clinically significant prostate cancer (csPCa) is equivocal for patients with prostate imaging reporting and data system (PI-RADS) category 3. We aim to develop deep learning models for re-stratify risks in PI-RADS category 3 patients.
Methods: This retrospective study included a bi-parametric MRI of 1567 consecutive male patients from six centers (Centers 1-6) between Jan 2015 and Dec 2020.
Aims: Osteoclast energy metabolism is a promising target for treating diseases characterized by high osteoclast activity, such as osteoporosis. However, the regulatory factors involved in osteoclast bioenergetic processes are still in the early stages of being fully understood. This study reveals the effects of follicle-stimulating hormone (FSH) on osteoclast energy metabolism.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Using the e^{+}e^{-} collision data collected with the BESIII detector operating at the BEPCII collider, at center-of-mass energies from the threshold to 4.95 GeV, we present precise measurements of the cross section for the process e^{+}e^{-}→D_{s}^{+}D_{s}^{-} using a single-tag method. The resulting cross section line shape exhibits several new structures, thereby offering an input for a future coupled-channel analysis and model tests, which are critical to understand vector charmonium-like states with masses between 4 and 5 GeV.
View Article and Find Full Text PDFChem Commun (Camb)
January 2025
Traditional sensors struggle in complex human environments, particularly with humidity and strain detection requiring high sensitivity and robust anti-interference. This work introduces a flexible, miniaturized, low-cost dual-mode sensor that combines a novel resonator structure with a chemically modified conducting polymer, enabling simultaneous strain and humidity detection alongside high anti-interference performance sensitivity and wireless transmission.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
February 2025
The ε4 variant of human apolipoprotein E () is a key genetic risk factor for neurodegeneration in Alzheimer's disease and elevated all-cause mortality in humans. Understanding the factors and mechanisms that can mitigate the harmful effects of has significant implications. In this study, we find that inactivating the VHL-1 (Von Hippel-Lindau) protein can suppress mortality, neural and behavioral pathologies caused by transgenic human in .
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