Basic Science and Pathogenesis.

Background: Current treatments for Alzheimer's disease (AD) lack disease-modifying interventions. Hence, novel therapies capable of restraining AD progression and maintaining better brain function for extended periods after the initial diagnosis have great significance. Extracellular vesicles (EVs) from human induced pluripotent stem cell (hiPSC)-derived neural stem cells (NSCs) are attractive in this context due to their robust antiinflammatory properties.

Basic Science and Pathogenesis.

Background: Alzheimer's disease (AD) is characterized by the accumulation of amyloid-beta (Aβ) in the extracellular space, which leads to various adverse effects such as oxidative stress, neuroinflammation, mitochondrial dysfunction, tau phosphorylation, synapse loss, and neurodegeneration. Therefore, therapeutic interventions that can reduce Aβ-toxicity and slow down the progression of cognitive dysfunction in AD have significance. One promising approach is to use extracellular vesicles (EVs) that are released by neural stem cells (NSCs) derived from human induced pluripotent stem cells (hiPSCs).

Evaluation of Peer Review of Percutaneous Coronary Intervention Operator Performance.

Background: Case-based peer review of percutaneous coronary intervention (PCI) is used by many hospitals for quality improvement and to make decisions regarding physician competency. However, there are no studies testing the reliability or validity of peer review for PCI performance evaluation.

Methods: We recruited interventional cardiologists from 12 Veterans Affairs Health System facilities throughout the United States to provide PCI cases for review.

Novel Concepts on the Functional Neuroanatomy of the Anorectum: Implications for Anorectal Neuropathy and Neuromodulation Therapy.

Anorectal neuropathy causes anorectal dysfunction, yet it is poorly recognized. This stems from both a lack of understanding of the extrinsic and intrinsic innervation of the anorectum and tools for evaluation of neuronal function. Our objective was to provide an improved understanding of the neuronal networks of the anorectum and discuss its functional significance.

Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light.

Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources. This study proposes a spectral convolutional neural network (SCNN) with matter meta-imaging. The optical convolutional layer is implemented by integrating very large-scale and pixel-aligned spectral filters on CMOS image sensor.