A5071243431- Advanced Memory and Neural Computing
- IoT and Edge/Fog Computing
- Hepatitis B Virus Studies
- Hepatitis C virus research
- Liver Disease Diagnosis and Treatment
- Functional Brain Connectivity Studies
- Traumatic Brain Injury Research
- Advanced Neural Network Applications
- Neural dynamics and brain function
- Acute Ischemic Stroke Management
- melanin and skin pigmentation
- Dementia and Cognitive Impairment Research
- Interconnection Networks and Systems
- Age of Information Optimization
- Intracerebral and Subarachnoid Hemorrhage Research
- Stroke Rehabilitation and Recovery
- Energy Harvesting in Wireless Networks
- Robotics and Automated Systems
- Context-Aware Activity Recognition Systems
- Cerebrovascular and Carotid Artery Diseases
- Neural Networks and Reservoir Computing
- Pressure Ulcer Prevention and Management
- Health Education and Validation
- Vehicle emissions and performance
- Cloud Computing and Remote Desktop Technologies
Nanjing University
2025
Nanjing General Hospital of Nanjing Military Command
2025
Fudan University
2013-2024
Shenzhen Institute for Drug Control
2024
State Key Laboratory of ASIC and System
2021-2022
Tianjin Huanhu Hospital
2016-2022
Beijing YouAn Hospital
2010-2021
Capital Medical University
2013-2021
China Southern Power Grid (China)
2021
Beijing Anzhen Hospital
2020
For accurate diagnosis and prognostic prediction of acquired brain injury (ABI), it is crucial to understand the neurobiological mechanisms underlying loss consciousness. However, there no consensus on which regions networks act as biomarkers for consciousness level recovery outcome in ABI. Using resting-state fMRI, we assessed intrinsic functional connectivity strength (FCS) whole-brain a large sample 99 ABI patients with varying degrees (including fully preserved state, minimally conscious...
Objective We aimed to investigate the roles of different resting‐state networks in predicting both actual level consciousness and its recovery brain injury patients. Methods investigated functional connectivity within patients with varying levels consciousness: unresponsive wakefulness syndrome (UWS; n = 56), minimally conscious state (MCS; 29), lesions but full (BL; 48). Considering consciousness, we compared strength network among patient groups. then checked presence connections between...
Abstract Recent studies have demonstrated resting‐state abnormalities in midline regions vegetative state/unresponsive wakefulness syndrome and minimally conscious state patients. However, the functional implications of these remain unclear. findings healthy subjects revealed a close overlap between neural substrate self‐referential processing activity cortical regions. As such, we investigated task‐related during active various measures 11 patients with disorders consciousness (DOC) 12...
In recent years, Artificial Intelligence (AI) has been widely deployed in a variety of business sectors and industries, yielding numbers revolutionary applications services that are primarily driven by high-performance computation storage facilities the cloud. On other hand, embedding intelligence into edge devices is highly demanded emerging such as autonomous systems, human-machine interactions, Internet Things (IoT). these applications, it advantageous to process data near or at source...
The spiking neural network (SNN) is a possible pathway for low-power and energy-efficient processing computing exploiting spiking-driven sparsity features of biological systems. This article proposes sparsity-driven SNN learning algorithm, namely backpropagation with regularization (BPSR), aiming to achieve improved synaptic sparsity. Backpropagation incorporating utilized minimize the firing rate guaranteed accuracy. realizes temporal information capture extends recurrent layer support...
Background/purpose: To study and compare the efficacy of combined 308‐nm monochromatic excimer light (MEL) therapy with tacalcitol vs. that MEL alone in treatment vitiligo. Methods: Thirty‐eight patients vitiligo were enrolled a single‐blind, within patient controlled clinical trial. Symmetrical or nearby lesions randomly applied either topical cream vehicle. Each lesion was treated weekly MEL, for total 12 sessions. Patients examined at monthly intervals. The mean number sessions cumulative...
The descending of intelligence from the cloud to heterogeneous and low-power edge in Artificial Intelligence-of-Things prevents uploading user-sensitive information cloud. It brings an urgent demand for deploying training tasks collaboratively industrial scenarios manage data locally. This article proposes edge-based collaborative system smart factory which harnesses devices by balancing computational communicational resources improving dependability. Two typical parts recognition defect...
Lumbar disc herniation (LDH) usually c auses sciatica. Although selective nerve root block (SNRB) is an effective, highly target-oriented interventional procedure for patients with LDH, accurately predicting the risk of sciatica recurrence in such after SNRB remains a major challenge. We aimed to construct nomogram model by integrating clinical data, imaging features and inflammation markers that could predict recurrent following LDH patients, which fill data gaps during construction. In...
Abnormal glucose metabolism is an independent risk factor for poor outcome following acute ischemic stroke. However, the relationship between initial hemoglobin A1c level and functional (defined by modified Rankin Scale scores) small-artery occlusion, a subtype of stroke, unknown. The aim present study was to evaluate this association among patients diagnosed with occlusion.Data on 793 occlusion from October 25, 2012 June 30, 2015 were collected stroke registry Department Neurorehabilitation...
We investigated the relationship of infection with hepatitis B virus (HBV) and C (HCV) to p53 mutation in hepatocellular carcinomas (HCC) from six countries, including Japan, China, Korea, Vietnam, Spain, Unites States. For this purpose, we used formalin-fixed, paraffin-embedded liver tissues obtained 449 patients HCC detect viral genes by polymerase chain reaction (PCR). HBV was most prevalent Korea (69.1%), China (66.1%), Vietnam (60.5%), Spain (38.6%). In contrast, HCV Japan (59.8%)...
Disorders of consciousness (DoC)-that is, unresponsive wakefulness syndrome/vegetative state and minimally conscious state-are debilitating conditions for which no reliable markers recovery have yet been identified. Evidence points to the GABAergic system being altered in DoC, making it a potential target as such marker.In our preliminary study, we used [(11) C]Flumazenil positron emission tomography establish global GABAA receptor binding values local-to-global (LTG) ratio these specific...
Background: The purpose of this study is to evaluate the efficacy and safety 308‐nm monochromatic excimer light (MEL) in treatment psoriasis vulgaris palmoplantar psoriasis. Methods: Thirty‐five patients with 15 were recruited for study. Thirty completed a total 16 treatments MEL twice week, 25 administered once weekly. clinical response therapy adverse effects recorded. Results: Patients ( n =30) showed 74.6% improvement mean area severity index score after (2 ×/week) 36.7% =11) achieving...
This brief presents a memory-efficient CNN accelerator design for resource-constrained devices in Internet of Things (IoT) and autonomous systems. A segmented logarithmic (SegLog) quantization method is exploited to mitigate the on-chip memory bandwidth requirements, thus accommodating more processing elements (PEs) given chip area organize reconfigurable multi-cluster architecture. The evaluation results show that SegLog can achieve <inline-formula...
The aim of the present study was to optimize process parameters for extraction and purification total flavonoids from Polygonum perfoliatum L., in addition analyzing their chemical composition evaluating activity against varicella-zoster virus (VZV) antioxidant activity. optimum determined using one-way response surface methods with following conditions: ethanol concentration 82.00%, temperature 90.29 °C, solid-to-liquid ratio 1:32.78 g/mL, time 1.5 h, two extractions a yield 14.98 ± 0.11...
This paper proposes a concise window function to build memristor model, simulating the widely-observed nonlinear dopant drift phenomenon of memristor. Exploiting non-linearity, model is applied in-situ neuromorphic solution for cortex-inspired spiking neural network (SNN), spike-based Bayesian Confidence Propagation Neural Network (BCPNN). The improved utilizing proposed able retain boundary effect and resolve lock inflexibility problem, while it simple in form that can facilitate...
This paper proposes a neuromorphic processing system and its classifier design for always-on wearable electrocardiogram (ECG) classification. The ECG signal is captured by level crossing (LC) sampling yielding single-bit temporal coding that can be natively fed into spiking neural network (SNN) in an event-driven manner. Such architecture simplifies the quantization of analog-to-digital converter (ADC) bypasses SNN. Thus, power reduced simplified data conversion architecture, representation...
The role of preexisting minority drug-resistance mutations in treatment failure has not been fully understood chronic hepatitis B patients. To understand mechanisms drug resistance, we analyzed 46 treatment-failure patients and 29 treatment-naïve determined linkage patterns the individual viral genomes using a highly sensitive parallel allele-specific sequencing (PASS) method. Lamivudine resistance (LAMr) were predominant patients, irrespective inclusion LAM regimen. primary LAMr M204V M204I...