Publications by authors named "J J Feng"

Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificial neural networks, which produce results in a single step, SNNs require multiple steps during inference to achieve a desired accuracy level, resulting in a burden in real-time response and energy efficiency. Inspired by the tradeoff between speed and accuracy in human and animal decision-making processes, which exhibit correlations among reaction times, task complexity, and decision confidence, an inquiry emerges regarding how an SNN model can benefit by implementing these attributes.

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Background: Alcohol use disorder (AUD) among elderly population is a strong risk factor for dementia. Anxiety disorder also poses a great toll on cognitive health and is commonly diagnosed among individuals with AUD. However, the additive and interactive roles of AUD-anxiety disorder comorbidities on cognitive disorders such as Alzheimer's disease and related dementias (ADRD) is poorly studied.

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Background: Findings regarding the protective effect of Angiotensin II receptor blockers (ARBs) against Alzheimer's disease and related dementias (ADRD) and cognitive decline have been inconclusive.

Method: A total of 6,390,826 hypertensive individuals were included in this study from Optum's de-identified Clinformatics® Data Mart. We identified antihypertensive medication (AHM) drug classes and subclassified ARBs by blood-brain barrier (BBB) permeability.

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Background And Aim: As a classical formula to invigorate blood circulation, Huoxue Tongluo Qiwei Decoction (HTQD) can effectively treat hypertensive erectile dysfunction (ED), but its exact mechanism of action is not yet clear. The goal of this research was to explore the potential mechanism of HTQD in improving hypertensive erectile dysfunction in rats through transcriptomics, network pharmacology, and associated animal experimentations.

Methods: The HTQD chemical constituents were screened using high-performance liquid chromatography- tandem mass spectrometry (HPLC-MS/MS).

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