Nonvolatile near-memory-compute (nvNMC) macros are promising candidates for edge
artificial intelligence (AI) devices requiring high energy efficiency, short wakeup-to-compute …

Nonvolatile-memory-based computing in memory (nvCIM) [1–6] is ideal for low-power edge-Al
devices requiring neural network (NN) parameter storage in the power-off mode, a rapid …

Battery-powered AI-edge processors require short wakeup-to-response latency (T WR ) and
high energy efficiency (EF) for accurate real-time inference. This necessitates high-capacity …

Compute-in-memory (CIM) macros [1]–[5] for convolutional neural networks (CNNs) [6]–[7]
and vision transformers (ViTs) [8] enable high-performance computing for energy-efficient …

Coumarin-based “turn-off” fluorescent chemosensor, 3-acetoacetyl-7-diethylaminocoumarin
(1), has been synthesized and structurally characterized by IR, 1 H NMR and X-ray crystal …

… In this paper, we will trace de qi historically as an evolving con… between acupuncture-induced
de qi and therapeutic effect. … You may experience any number of de qi sensations when …

A series of pyrazole-based 1,3,4-oxadiazole derivatives were rationally designed and
synthesized in good yields by following a convenient route. All the newly synthesized molecules …

Artificial intelligence (AI) edge devices are highly susceptible to memory wall issues imposed
by the von Neumann computing architecture. Non-volatile on-chip computing-in-memory (…

Yeast culture (YC) positively affects the performance of laying hens. The purpose of the
present study was to explore the underlying mechanism for the YC-mediated performance …

… It has been described in Biao you fu (Song to Elucidate Mysteries) as follows: “the arrival of
qi like a fish biting on a fishing line.” Langevin et al. [23] believed that connective tissue is the …