A5114777906- Neuroscience and Neural Engineering
- Meteorological Phenomena and Simulations
- Analog and Mixed-Signal Circuit Design
- Corneal surgery and disorders
- Photonic and Optical Devices
- Climate variability and models
- CCD and CMOS Imaging Sensors
- EEG and Brain-Computer Interfaces
- Non-Invasive Vital Sign Monitoring
- Advancements in PLL and VCO Technologies
- Image and Signal Denoising Methods
- Advanced Materials and Mechanics
- Intraocular Surgery and Lenses
- Calibration and Measurement Techniques
- Ophthalmology and Visual Impairment Studies
- Neurogenesis and neuroplasticity mechanisms
- Cellular Mechanics and Interactions
- Wireless Body Area Networks
- Advanced Memory and Neural Computing
- Electrowetting and Microfluidic Technologies
- Ocular Infections and Treatments
- Radio Frequency Integrated Circuit Design
- Precipitation Measurement and Analysis
- Retinal Development and Disorders
- Seismic Imaging and Inversion Techniques
Fudan University
2011-2025
Beijing Academy of Artificial Intelligence
2024-2025
The First Affiliated Hospital, Sun Yat-sen University
2024-2025
Sun Yat-sen University
2024-2025
Zhongshan Hospital
2018-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
Eye & ENT Hospital of Fudan University
2023
State Key Laboratory of Medical Neurobiology
2018
University of Michigan
2011
Abstract The increasing volume of satellite data, particularly hyperspectral infrared combined with the real‐time monitoring requirements numerical weather prediction (NWP) systems, has heightened demand for computational efficiency and accuracy in radiative transfer models (RTM). Machine learning (ML) offers a promising approach, numerous studies on ML‐based RTM have emerged recently. However, existing RTMs were not end‐to‐end. Moreover, since label data do represent truth, trained loss...
ABSTRACT Dopamine receptor DRD1-expressing medium spiny neurons (D1 MSNs) and dopamine DRD2-expressing (D2 are the principal projection in striatum, which is divided into dorsal striatum (caudate nucleus putamen) ventral (nucleus accumbens olfactory tubercle). Progenitors of these arise lateral ganglionic eminence (LGE). Using conditional deletion, we show that mice lacking transcription factor genes Sp8 Sp9 lose virtually all D2 MSNs as a result reduced neurogenesis LGE, whereas D1 largely...
Optofluidic ring resonator lasers based on micro-bubbles filled with liquid gain medium are demonstrated. Due to the sub-micron wall thickness of micro-bubble, significant amount electric field resides inside liquid. Consequently, mimic droplets in air that have 3-dimensional optical confinement, extremely high Q-factors, and versatility handling liquids different refractive index. Furthermore, they enable repetitive interrogation easy directional laser emission out-coupling without...
Non-invasive, closed-loop brain modulation offers an accessible and cost-effective means of evaluating modulating one's mental physical well-being, such as Parkinson's disease, epilepsy, sleep disorders. However, wearable EEG systems pose significant challenges for the analog front-end (AFE) circuits in view µV-level signals interest, multiple sources interference, ill-defined skin contact. This paper presents a direct-digitization AFE tailored dry-electrode scalp recording, characterized by...
Controlled liquid-liquid phase separation (LLPS) plays an important role in the formation of a heterogeneously structured extracellular matrix (ECM) consisting densely cross-linked stiff structures compartmentalized loosely matrix. Moreover, mechanical cues presented by cellular-scale structural heterogeneity ECM facilitate mechanotransduction cells and subsequent cellular development. Therefore, developing ECM-mimetic hydrogels with as inductive cell carriers is highly desirable but...
Long-term, continuous health monitoring imposes stringent demands on bio-recording analog front-end (AFE) circuits, specifically in terms of dynamic range (DR), noise, input impedance, and power consumption. This work introduces a DR-enhanced direct-digitization AFE based Δ-modulated transconductor (TC) stage, followed by second-order ΔΣ ADC. In this architecture, the accumulated DAC is subtracted exclusively at TC allowing integrators to process only low-amplitude signal thus relaxing...
Abstract The artificial intelligence (AI)‐based weather forecasting model named FuXi and its data assimilation (DA) system FuXi‐En4DVar has been developed for high‐efficiently high‐impact events such as tropical cyclones (TCs). Besides conventional observations, target observations are essential to further improve initial field accuracy then increasing event skills. identification of the sensitive area, where additional should be deployed, is key implementing observations. In this paper, a...
Abstract High myopia is the leading cause of blindness worldwide. It promotes overgrowth lens, which an important component ocular refractive system, and increases risks lens surgery. While postnatal growth based on addition fibre cells (LFCs) supplemented by proliferation differentiation epithelial (LECs), it remains unknown how these cellular processes change in highly myopic eyes what signalling pathways may be involved. Single‐cell RNA sequencing was performed a total 50,375 single...
Abstract. Warm-sector heavy rainfall along the south China coast poses significant forecasting challenges due to its localized nature and prolonged duration. To improve prediction of such high-impact weather events, high-resolution numerical (NWP) models are increasingly used more accurately represent topographic effects. However, as these models' grid spacing approaches scale convective processes, they enter a “gray zone”, where struggle fully resolve turbulent eddies within atmospheric...
The outcomes of toric intraocular lens (IOL) implantation in correcting asymmetric bowtie corneal astigmatism remain uncertain. accurate measurement is essential for surgical planning. In this prospective cohort study, patients with or symmetric who underwent IOL were recruited. Preoperative was measured an IOLMaster and Pentacam (including the simulated keratometry (SimK), total refractive power (TCRP), wavefront aberration (WFA) modes). At 3 months after surgery, residual astigmatic errors...
This article describes precision and motion-tolerant digital active electrode (DAE) circuit system for wearable dryelectrode EEG acquisition. The DAE integrates a low gain chopper instrumentation amplifier (IA) $3^{\mathrm{r}\mathrm{d}}$-order 1-bit continuoustime (CT) sigma-delta $(\Sigma\Delta)$ADC, enabling 5-wire "per-electrode" digitization with high resolution, wide input dynamic range (DR), impedance. work outperforms state-of-the-art AE systems 49nV/√Hz input-referred noise, 87.8dB...
This paper describes a wide dynamic range (DR) and high input-impedance direct-digitization analog front-end (AFE) for non-invasive EEG recording. The AFE utilizes second-order 5-bit $\Delta-\Delta\Sigma$ ADC to shape low-frequency disturbances, such as DC electrode offset, power-line interference, motion artifact while retaining accuracy. Furthermore, the adopts pseudodifferential non-inverting amplifier C-DAC achieve input impedance in conjunction with linearity. Fabricated standard...
A wearable and remote fetal monitoring system, FetalCare, is specifically developed for home use. It comprises a stretchable on-skin patch pod to capture, process, transmit signals. Data received by Bluetooth dongle are processed edge computing remove diverse noises interferences then displayed platform integrated with cloud services. The highly system can simultaneously measure up 6-channel electrohysterography (EHG) 3-channel electrocardiogram (FECG) signals from the abdomen using just...
Abstract. The rapid advancement of artificial intelligence (AI) in weather research has been driven by the ability to learn from large, high-dimensional datasets. However, this progress also poses significant challenges, particularly regarding substantial costs associated with processing extensive data and limitations computational resources. Inspired Neural Image Compression (NIC) task computer vision, study seeks compress address these challenges enhance efficiency downstream applications....