Publications by authors named "Junjie Ke"

Neural networks (NNs) have demonstrated remarkable capabilities in various tasks, but their computation-intensive nature demands faster and more energy-efficient hardware implementations. Optics-based platforms, using technologies such as silicon photonics and spatial light modulators, offer promising avenues for achieving this goal. However, training multiple programmable layers together with these physical systems poses challenges, as they are difficult to fully characterize and describe with differentiable functions, hindering the use of error backpropagation algorithm.

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To explore the effect of blood flow restriction training (BFRT) on the recovery of knee function in patients after arthroscopic partial meniscectomy (APM). Forty patients undergoing APM surgery were included in this parallel group, two-arm, single-assessor blinded, randomized clinical trial. The subjects were randomly divided into two groups: routine rehabilitation group (RR Group, = 20) and routine rehabilitation + blood flow restriction training group (RR + BFRT Group, = 20).

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A series of benzylidene analogs of oleanolic acid were synthesized and assessed for their -glucosidase and -amylase inhibitory activities. The results presented that all synthesized analogs exhibited excellent-to-moderate inhibitory effects on -glucosidase and -amylase. Analog showed the highest -glucosidase inhibition (IC: 0.

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Different oleanolic acid (OA) oxime ester derivatives (-) were designed and synthesised to develop inhibitors against -glucosidase and -amylase. All the synthesised OA derivatives were evaluated against -glucosidase and -amylase Among them, compound showed the highest -glucosidase inhibition with an IC of 0.35 µM, which was ∼1900 times stronger than that of acarbose, meanwhile compound exhibited the highest -amylase inhibitory with an IC of 3.

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