A5100416316- Indoor and Outdoor Localization Technologies
- Retinoids in leukemia and cellular processes
- Ion Transport and Channel Regulation
- Epigenetics and DNA Methylation
- Functional Brain Connectivity Studies
- Vehicular Ad Hoc Networks (VANETs)
- Gene expression and cancer classification
- Cancer-related molecular mechanisms research
- Acute Myeloid Leukemia Research
- Cancer, Hypoxia, and Metabolism
- Esophageal Cancer Research and Treatment
- Mobile Ad Hoc Networks
- Geological and Geochemical Analysis
- Traditional Chinese Medicine Studies
- Medicinal Plants and Bioactive Compounds
- Bone and Joint Diseases
- Metabolomics and Mass Spectrometry Studies
- Histone Deacetylase Inhibitors Research
- Advanced Neuroimaging Techniques and Applications
- Opportunistic and Delay-Tolerant Networks
- Ferroptosis and cancer prognosis
- Computational Physics and Python Applications
- Autonomous Vehicle Technology and Safety
- Neonatal Respiratory Health Research
- Helicobacter pylori-related gastroenterology studies
Peking Union Medical College Hospital
2019-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2019-2024
Peking University People's Hospital
2024
Peking University
2024
Shaanxi University of Science and Technology
2022-2023
Tongji Hospital
2023
Huazhong University of Science and Technology
2023
Nanjing University of Chinese Medicine
2021
Institute of Geology and Geophysics
2020
Chinese Academy of Sciences
2020
Introduction: Ovarian cancer is a highly malignant with poor prognosis. At present, there no accurate strategy for predicting the prognosis of ovarian cancer. A prediction signature associated DNA repair genes in was explored this study. Methods: Gene expression profiles were downloaded from GEO, UCSC, and TCGA databases. Cluster analysis, univariate stepwise regression used to identify as potential targets prognostic survival prediction. The top evaluated by immunohistochemical staining...
With the development of multi-model neuroimaging technology and gene detection technology, efforts integrating imaging genetics data to explore virulence factors schizophrenia (SZ) are still limited. To address this issue, we propose a novel algorithm called group sparse joint non-negative matrix factorization on orthogonal subspace (GJNMFO). Our fuses single nucleotide polymorphism (SNP) data, function magnetic resonance (fMRI) epigenetic (DNA methylation) by projecting three-model into...
Disseminated intravascular coagulation (DIC) is a severe clinical condition that can lead to or aggravate the development of multiple organ dysfunction syndrome. Of all types damage, lung damage most frequent and severe. In DIC patients, primarily characterized by pulmonary edema. Aquaporin (AQP) 5 chief AQP in lungs it plays key role many processes, including water transport normal abnormal lungs. Here we demonstrate expression AQP5 two microRNAs, miR-96 miR-330, rat lipopolysaccharide...
Due to the satellite signals are blocked, it is difficult obtain vehicle position in tunnels. We propose a single-site localization scheme for rectangular tunnel environment, where most satellite-based positioning methods can not provide required accuracy. In non-line-of-sight (NLOS) scenarios, we make use of reflection paths as assistants positioning. Specifically, first, virtual stations established based on actual geometrical structure tunnel. Second, direction-of-arrival (DOA) and...
Abstract Glioblastoma (GBM) is a lethal cancer characterized by hypervascularity and necrosis associated with hypoxia. Here, it found that hypoxia preferentially induces the actin‐binding protein, Transgelin (TAGLN), in GBM stem cells (GSCs). Mechanistically, TAGLN regulates HIF1α transcription stabilizes HDAC2 to deacetylate p53 maintain GSC self‐renewal. To translate these findings into preclinical therapeutic paradigm, sodium valproate (VPA) specific inhibitor of TAGLN/HDAC2 function,...
Abstract: The objective of the current study was to provide more appropriate therapeutic strategies for reducing severe hemorrhaging by assessing recovery abnormal coagulation indexes in patients with acute promyelocytic leukemia (APL) during induction therapy. Retrospective analyses 112 newly diagnosed APL were performed initial treatment. In our study, early death rate 5.36%. Hemorrhage leading cause period (4/6). values white blood cell count, lactate dehydrogenase, prothrombin time (PT),...
Ovarian cancer has the highest mortality rate among gynecologic cancers, and most patients are diagnosed in advanced stages. Enhancer of zeste homolog 2 (EZH2) is a major tumor marker an effective therapeutic target for ovarian cancer, but underlying molecular mechanism remains unclear. The present study investigated biological effects EZH2 knockout SKOV3 cells vitro vivo explored by integrated analysis messenger RNA sequencing (mRNA-seq) chromatin immunoprecipitation (ChIP-seq) data.The...
Vehicular ad hoc network (VANET) brings an excellent solution to ensure road safety and transportation efficiency in critical environment like tunnel. Particularly, radio link connectivity of vehicle-to-vehicle (V2V) significantly influences the performance VANETs. The communication range systems is a random variable reality due channel fading effect. Therefore, model between vehicles realistic key for accurate evaluation system performances. In this paper, we study V2V presence randomness...
In terms of complex diseases like schizophrenia, more and studies are beginning to treat genetic variants brain imaging phenotypes as an important factor. this paper, a competent optimization model is exploited overcome the weakness deep canonical correlation analysis (DCCA). The consists principal component (PCA) on multi-modality linear features learning multi-layer belief networks nonlinear learning. order complete better result classification, output nodes network used for back...
Range-based positioning using wireless signal has gained remarkable attention in past decades. Accurately extracting the distance information, i.e., estimating parameters of individual multipath, is interest. It been shown that diffuse multipath component (DMC) propagation channel significant influence on estimation and, thus, ranging performance. In addition to specular (SC), DMC should be considered order improve estimated accuracy paths' this paper, we extend quasi-maximum likelihood...
Schizophrenia is a complex mental illness, the mechanism of which currently unclear. Using sparse representation and dictionary learning (SDL) model to analyze functional magnetic resonance imaging (fMRI) dataset schizophrenia popular method for exploring disease. The SDL decomposed fMRI data into coding matrix X D. However, these traditional methods overlooked group structure information in coherence between atoms To address this problem, we propose new incorporating sparsity incoherence,...
Purpose: To evaluate the influence of FLT3-ITD mutations on treatment response and long-term survival newly-diagnosed patients with acute promyelocytic leukemia (APL) treated all-trans retinoic acid arsenic trioxide. Methods: The 90 APL (age range 12– 75 years) was retrospectively analyzed.The mutation rate assayed by polymerase chain reaction (PCR) amplification sequencing analysis. Its impact response, event-free survival(EFS), or overall survival(OS) investigated in without mutations....
Current developments of neuroimaging and genetics promote an integrative compressive study schizophrenia. However, it is still difficult to explore how gene mutations are related brain abnormalities due the high dimension but low sample size these data. Conventional approaches reduce dataset separately then calculate correlation, ignore effects response variables structure To improve identification risk genes abnormal regions on schizophrenia, in this paper, we propose a novel method called...
Currently, the diagnosis of mental illnesses such as Alzheimer's disease, Schizophrenia, and Depression heavily relies on questionnaire surveys experience doctors, resulting in a high rate missed misdiagnosed cases. In order to address this issue, psychiatric disease model based parallel multi-layer feature selection (PMFS) is proposed. Firstly, feature's inherent information, redundancy between features, correlation features learner, three-layer performed using Variance Thresholding,...
<p>The paleo-position of the North China Craton (NCC) within the Supercontinent Nuna/Columbia is controversial. Hindered by ubiquitous alteration of very ancient rocks, paleomagnetic studies have not been able yet to conclusively solve this puzzle. Comprehensive analysis on relatively limited Precambrian records is essential to understand the geological history these cratons....