- Analog and Mixed-Signal Circuit Design
- Advancements in Semiconductor Devices and Circuit Design
- Advanced Memory and Neural Computing
- Radio Frequency Integrated Circuit Design
- Advancements in PLL and VCO Technologies
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Low-power high-performance VLSI design
- Energy Harvesting in Wireless Networks
- Full-Duplex Wireless Communications
- Analytical Chemistry and Sensors
- Integrated Circuits and Semiconductor Failure Analysis
- Microfluidic and Capillary Electrophoresis Applications
- Photonic and Optical Devices
- Parallel Computing and Optimization Techniques
- Identification and Quantification in Food
- Advanced Neural Network Applications
- Microwave Engineering and Waveguides
- Advanced Sensor and Energy Harvesting Materials
- Genomics and Phylogenetic Studies
- Electromagnetic Compatibility and Noise Suppression
- Radiation Effects in Electronics
China University of Petroleum, East China
2025
Peking University
2016-2025
China University of Mining and Technology
2025
Fujian Normal University
2022-2024
Beijing Academy of Artificial Intelligence
2024
Anhui University of Technology
2023
Institute of Microelectronics
2008-2022
Renji Hospital
2015-2022
Shanghai University
2021
Tianjin University of Technology
2020
Developing a miniaturized, low-cost, and smart closed-loop system for diabetes could significantly improve life quality benefit millions of people. Conventional devices are large in size exorbitant. Here, we unprecedentedly demonstrate an electrically controlled flexible patch continuous management by integrating hollow biodegradable microneedles with biosensing device electroosmotic pump. The were fabricated using combination soft lithography micromachining. outer layer the was...
In Al-edge devices, the changes of input features are normally progressive or occasional, e.g., abnormal surveillance, hence reprocessing unchanged data consumes a tremendously redundant amount energy. Computing-in-memory (CIM) directly executes matrix-vector multiplications (MVMs) in memory, eliminating costly movement energy deep neural networks (DNNs) [2–6]. Prior CIM work only explored sparsity DNNs to improve efficiency, but trend employing non-sparse activation functions, leaky ReLU,...
Argonaute (Ago) proteins are ubiquitous across all kingdoms of life. Eukaryotic Agos (eAgos) use small RNAs to recognize transcripts for RNA silencing in eukaryotes. In contrast, the functions prokaryotic counterparts (pAgo) less well known. Recently, short pAgos conjunction with associated TIR or Sir2 (SPARTA SPARSA) were found serve as antiviral systems combat phage infections. Herein, we present cryo-EM structures nicotinamide adenine dinucleotide (NAD
This paper presents a generic-purpose solution of highly power-efficient active-RC filters, which is suitable for analog baseband with wide bandwidth-range from several mega-Hz to hundreds in wireless receivers. A 260 μA 7-20 MHz 6th-order low-bandwidth low-pass filter (LBW-LPF) and 2.3 mA 240-500 high-bandwidth (HBW-LPF) are implemented standard 0.18 μm CMOS process demonstrate this versatile solution. Highly push-pull opamps 30-to-35 dB gain adopted the allow us focus on extending...
The Internet of Things (IoT) is an interface with the physical world that usually operates in random-sparse-event (RSE) scenarios. This article discusses main challenges IoT chips: power consumption, supply, artificial intelligence (AI), small-signal acquisition, and evaluation criteria. To overcome these challenges, many works recently aimed at system design have emerged. work reviews architecture circuit innovations contributed to developments. paper does not cover security IoT....
Intra-articular injection of mesenchymal stem cells is a potential therapeutic strategy for cartilage protection and symptom relief osteoarthritis (OA). However, controlling chondrogenesis the implanted in articular cavity remains challenge. In this study, hydrogels containing different concentrations icariin were prepared by situ crosslinking hyaluronic acid Poloxamer 407. This injectable thermoresponsive hydrogel, as 3D cell culture system, showed good biocompatibility with chondrocytes...
In this paper, a novel TFET design, called Pocket-mSTFET (PMS-TFET), is proposed and experimentally demonstrated by evaluating the performance from device metrics to circuit implementation for low-power SoC applications. For first time, design perspective, TFETs in terms of I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ON</sub> , xmlns:xlink="http://www.w3.org/1999/xlink">OFF</sub> subthreshold slope (SS), output behavior, capacitance,...
We demonstrate a wearable, minimally invasive, fully electrochemically controlled feedback microsystem for the intelligent management of diabetes, where both sensor and pump in system work based on electrochemical reactions.
UHF RFID reader transceiver for Chinese local standard (840-845 MHz and 920-925 MHz), in concord with the protocols of EPC Class-1 Gen-2 ISO/IEC 18000-6C, is presented. A highly linear RF front-end low flicker noise, an on-chip self-jammer cancellation (SC) circuit fast time-varying cut-off frequency a DC-offset (DCOC) are proposed to deal large receiver. In presence 22 dBm PA output power, receiver achieves sensitivity -79 including 15 dB loss directional coupler. CMOS class-AB integrated...
A highly reconfigurable merged analog baseband (MABB) with not only tunable bandwidth (BW), gain, and order but also power, noise, linearity is proposed for multistandard integrated wireless receivers in this brief. The MABB could arrange the total gain to different stages noise tradeoffs by introducing biquad topology. To save operational amplifier (Opamp) can reduce GBW, as long it meets GBW requirement BW, order. flexible power-efficient high-GBW Opamp an adaptive common-mode bias circuit...
Background: Pudendal neuralgia is an intractable pain related to the pudendal nerve. The clinical effect and safety evaluation of were investigated by pulse radiofrequency (PRF) treatment Patients methods: Eighty patients who diagnosed with randomly divided into PRF group (PRF nerve block [NB]) NB group. After surgery, followed up evaluate visual analog scale (VAS) score Patient Health Questionnaire on postoperative day at 2 weeks, 1 3 months. Meanwhile, patients' efficacy assessment usage...
Aimed at the limitation that existing hyperspectral classification methods were mainly oriented to small-scale images, this paper proposed a new large-scale remote sensing image method, LS3EU-Net++ (Lightweight Encoder and Integrated Spatial Spectral Squeeze Excitation U-Net++). The method optimized U-Net++ architecture by introducing lightweight encoder combining (S3E) Attention Module, which maintained powerful feature extraction capability while significantly reducing training cost. In...
IoT devices usually operate in random-sparse-event scenarios (Fig. 20.2.1). To avoid missing events, traditionally a periodic-wake-up frequency [1] must be orders of magnitude higher than the average event rate, wasting huge power. An emerging event-driven approach seeks to trigger power-hungry high-performance system (HPS) using an ultra-low-power wake-up circuit. State-of-the-art chips with DSP-based and neural-network-based feature extraction consume 12nW [2], 1μW [3], 142nW [4]. However,...
Power is a major bottleneck in AIoT devices, which usually operate random-sparse-event (RSE) scenarios [1] (Fig. 12.1.1, bottom). To process RSEs energy-efficiently, one can integrate an always-on wake-up chip [1-5] that only turns on the power-hungry high-performance system (HPS) once valid events are detected. Previous dedicated voice-activity-detection (VAD) chips using analog front-ends (AFE) followed by neural-network (NN) circuits consume 1μW [2] and 142nW [3]. Keyword spotting (KWS)...
This article presents a 148-nW always-on wake-up system that drastically reduces the power consumption of Internet Things (IoT) sensor nodes while oftentimes operating in random-sparse-event (RSE) scenarios. To significantly reduce long-term average (LTA) and realize multiapplication intelligent event detection, three techniques are proposed: 1) In three-stage pipelined event-driven architecture, frame generator convolutional neural network inference engine (CNN IIE) stage III by preliminary...
Human brain is a natural ultimate-event-driven (UED) system with low power and real-time response-ability, thanks to the asynchronous propagation processing of spikes. Power dissipation latency are major concerns in AloT devices, usually operating random-sparse-event (RSE) scenarios (Fig. 22.7.1, top). Being event-driven on level, an always-on wake-up (WUS) detects valid RSEs energy-efficiently intelligently, upon detection turns power-hungry high-performance (HPS). module prior WUS [1] uses...
Objective. To compare ultrasound-guided miniscalpel-needle (UG-MSN) release versus dry needling (UG-DN) for chronic neck pain. Methods. A total of 169 patients with pain were randomized to receive either UG-MSN or UG-DN. Before treatment and at 3 6 months posttreatment, was measured using a 10-point visual analogue scale (VAS). Neck function examined the disability index. Health-related quality life physical component score (PCS) mental (MCS) SF-36 health status scale. Results. Patients in...
Steep sub-threshold interband tunnel field-effect transistors (TFETs) are promising candidates for low-supply voltage applications with better performance than the traditional complementary metal oxide semiconductor (CMOS). However, some of shortcomings TFETs also severely limit their application. From device perspective, studies have been conducted on in order to improve performance. Instead, this study focuses following four challenges from perspective circuit design: (1) uncontrollable...