Publications by authors named "Shengguo Hu"

Programmable metasurface has become a prominent tool in various areas including control, communication, computing, and so on, due to its unique capability in the electromagnetic (EM) manipulation. However, it is lack of the intelligence in the sense that it usually requires the manual intervention, and thus makes it hard to behavior as the human process. To endow the programmable metasurface with the intelligence, we here proposed the concept of the language-controllable programmable metasurface for autonomous EM manipulations by exploring the notable capability of large language models (LLMs) in attaining the human-like intelligence.

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Speech recognition becomes increasingly important in the modern society, especially for human-machine interactions, but its deployment is still severely thwarted by the struggle of machines to recognize voiced commands in challenging real-life settings: oftentimes, ambient noise drowns the acoustic sound signals, and walls, face masks or other obstacles hide the mouth motion from optical sensors. To address these formidable challenges, an experimental prototype of a microwave speech recognizer empowered by programmable metasurface is presented here that can remotely recognize human voice commands and speaker identities even in noisy environments and if the speaker's mouth is hidden behind a wall or face mask. The programmable metasurface is the pivotal hardware ingredient of the system because its large aperture and huge number of degrees of freedom allows the system to perform a complex sequence of sensing tasks, orchestrated by artificial-intelligence tools.

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Intelligent indoor robotics is expected to rapidly gain importance in crucial areas of our modern society such as at-home health care and factories. Yet, existing mobile robots are limited in their ability to perceive and respond to dynamically evolving complex indoor environments because of their inherently limited sensing and computing resources that are, moreover, traded off against their cruise time and payload. To address these formidable challenges, here we propose intelligent indoor metasurface robotics (I2MR), where all sensing and computing are relegated to a centralized robotic brain endowed with microwave perception; and I2MR's limbs (motorized vehicles, airborne drones, etc.

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Background: Bladder cancer is the most common malignant tumor of the urinary tract. We aimed to explore the biological role and molecular mechanism of Nodal in bladder cancer.

Materials And Methods: The expression of Nodal in bladder cancer tissues and cells was determined by quantitative real-time polymerase chain reaction.

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Objective: To investigate the effect of hydrogen sulfide (H2S) on artherosclerosis (AS) and its mechanism in rats.

Methods: 125 healthy male SD rats of the weight (210 +/- 10) g were randomly divided into 5 groups: control group, AS model group, AS + low-dose NaHS (2.8 micromol/(kg x d)) group, AS+ middle-dose (14 micromol/(kg x d)) NaHS group, AS+ high-dose NaHS (28 micromol/(kg x d)) group.

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