Decreased prefrontal activation during verbal fluency task after repetitive transcranial magnetic stimulation treatment for depression in Alzheimer's disease: a functional near-infrared spectroscopy study.

Background: Studies have shown the clinical effects of repetitive transcranial magnetic stimulation (rTMS) on depression in Alzheimer's disease (AD). However, the underlying mechanisms remain poorly understood. The measurement of brain activation links neurobiological and functional aspects but is challenging in patients with dementia.

Random resistive memory-based deep extreme point learning machine for unified visual processing.

Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. However, their data are heterogeneous, causing complexity in system development. Moreover, conventional digital hardware is constrained by von Neumann bottleneck and the physical limit of transistor scaling.

PTPN23-dependent activation of PI3KC2α is a therapeutic vulnerability of BRAF-mutant cancers.

BRAF mutations drive initiation and progression of various tumors. While BRAF inhibitors are effective in BRAF-mutant melanoma patients, intrinsic or acquired resistance to these therapies is common. Here, we identify non-receptor-type protein tyrosine phosphatase 23 (PTPN23) as an alternative effective target in BRAF-mutant cancer cells.

Artificial intelligence models assisting physicians in quantifying pancreatic necrosis in acute pancreatitis.

Background: Acute pancreatitis (AP) is a potentially life-threatening condition characterized by inflammation of the pancreas, which can lead to complications such as pancreatic necrosis. The modified computed tomography severity index (MCTSI) is a widely used tool for assessing the severity of AP, particularly the extent of pancreatic necrosis. The accurate and timely assessment of the necrosis volume is crucial in guiding treatment decisions and improving patient outcomes.

A Dynamic Shift in Estrogen Receptor Expression During Granulosa Cell Differentiation in the Ovary.

This study uncovers a dynamic shift in estrogen receptor expression during granulosa cell (GC) differentiation in the ovary, highlighting a transition from estrogen receptor alpha (ESR1) to estrogen receptor beta (ESR2). Using a transgenic mouse model with Esr1-iCre-mediated Esr2 deletion, we demonstrate that ESR2 expression is absent in GCs derived from ESR1-expressing ovarian surface epithelium (OSE) cells. Single-cell analysis of the OSE-GC lineage reveals a developmental trajectory from Esr1-expressing OSE cells to Foxl2-expressing pre-GCs, culminating in GCs exclusively expressing Esr2.