A5050830339- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Phonocardiography and Auscultation Techniques
- Topic Modeling
- Natural Language Processing Techniques
- EEG and Brain-Computer Interfaces
- Blind Source Separation Techniques
- Advanced Adaptive Filtering Techniques
- Parallel Computing and Optimization Techniques
- Coronary Interventions and Diagnostics
- Distributed and Parallel Computing Systems
- Cardiac Imaging and Diagnostics
- Respiratory and Cough-Related Research
- Cloud Computing and Resource Management
- Medical Image Segmentation Techniques
- Advanced Graph Neural Networks
- Caching and Content Delivery
- Image Retrieval and Classification Techniques
- Indoor and Outdoor Localization Technologies
- Advanced Data Storage Technologies
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Structural Health Monitoring Techniques
- Acute Myocardial Infarction Research
- Advanced Text Analysis Techniques
Bristol-Myers Squibb (United States)
2025
National University of Defense Technology
2025
Sun Yat-sen University
2018-2024
First Affiliated Hospital of Xi'an Jiaotong University
2021-2024
Soochow University
2015-2024
Shanxi Academy of Medical Sciences
2024
Shanxi Medical University
2024
Hohai University
2024
Taihe Hospital
2024
Hubei University
2024
The problem of direction-of-arrival (DOA) estimation for sparse array is addressed. perspective that DOA in virtual response model can be cast as the recovery introduced. Two methods are proposed, based on different optimization problems, which solvable using second-order cone (SOC) programming. Without knowledge number sources, proposed yield superior performances, verified by numerical simulations.
Purpose This paper aims to examine the effects of task and relationship conflicts on team creativity, moderating role shared leadership in inter-organizational teams. An normally comprises employees from collaborated organizations brought together conduct an initiative, such as product development. Practitioners researchers have witnessed prevalence conflict Despite significant scholarly investigation into importance a deep theoretical understanding framework remains elusive....
Abstract Although implantation of biomaterials carrying mesenchymal stem cells (MSCs) is considered as a promising strategy for ameliorating neural function after spinal cord injury (SCI), there are still some challenges including poor cell survival rate, tumorigenicity and ethics concerns. The performance the secretome derived from MSCs was more stable, its clinical transformation operable. Cytokine antibody array demonstrated that contained 79 proteins among 174 analyzed. Three-dimensional...
398 Background: At 4-y follow-up, 1L NIVO + chemo continued to demonstrate clinically meaningful overall survival (OS) and progression-free (PFS) benefit vs with acceptable safety in patients (pts) advanced non-HER2+ GC/GEJC/EAC from CheckMate 649. We report efficacy results of at 5-y follow-up. Methods: Adults previously untreated, unresectable, or metastatic, were enrolled, regardless programmed death ligand 1 (PD-L1) expression. Pts randomized (360 mg Q3W 240 Q2W) (XELOX FOLFOX Q2W),...
The effect of mutual coupling between array elements is known to substantially degrade direction-of-arrival (DOA) estimation performance. Rank-reduction (RARE) methods can eliminate the without loss aperture. However, they might yield serious ambiguous DOA estimates in some scenarios. This letter proposes a modified RARE algorithm for estimation, which overcomes problem by recursively building up matrices. Moreover, due utilization an additional unique structure coefficients, new method give...
Recent studies have shown that 3D printed scaffolds integrated with growth factors can guide the of neurites and promote axon regeneration at injury site. However, heat, organic solvents or cross-linking agents used in conventional printing reduce biological activity factors. Low temperature incorporate into scaffold maintain their activity. In this study, we developed a collagen/chitosan brain-derived neurotrophic factor (3D-CC-BDNF) by low extrusion as new type artificial controlled...
Abstract Recently, an increasing number of organizations conduct collaborative innovation by establishing interorganizational teams comprising employees from different organizations. Given that face immense challenges because organizational culture differences in teams, this study focused considerably on cultural intelligence the context. This refers to ability individuals deal effectively with differences. Our research particularly explored effect employees’ their creative performance and...
Nowadays, the respiratory disease has become one of most dangerous diseases that threaten human health, especially in developing countries. The early diagnosis gives patients opportunity to receive proper treatment time, and hence artificial intelligent (AI) auscultation using electronic stethoscope may play a promising role here. core idea AI is detect or recognize two kinds adventitious sounds related diseases: wheeze crackle. Constrained by number available data, traditional methods,...
Distant supervision assumes that any sentence containing the same entity pairs reflects identical relationships. Previous works of distantly supervised relation extraction (DSRE) task generally focus on sentence-level or bag-level de-noising techniques independently, neglecting explicit interaction with cross levels. In this paper, we propose a hierarchical contrastive learning Framework for Distantly Supervised (HiCLRE) to reduce noisy sentences, which integrate global structural...
Background: Lipoprotein(a) [Lp(a)] is a risk factor for cardiovascular events. This study evaluated the relationship between Lp(a) and high-risk attributes by coronary computed tomography angiography as well their prognostic value. Methods: from 377 consecutive patients at Zhongshan Hospital (Shanghai, China) were evaluated. High-risk defined morphological (low attenuation plaque, positive remodeling, napkin-ring sign, spotty calcification, minimum lumen area <4 mm 2 , or plaque burden...
To evaluate the contribution of multiple medical comorbidities on overall survival endometrial cancer patients.The study evaluated 490 patients stages I to IV who were treated between 1992 and 2008 with a hysterectomy or without radiation therapy (RT). Hazard ratios (HR) calculated for variables including: diabetes mellitus (DM), hypertension (HTN), body mass index, smoking, RT, years estrogen exposure then recalculated an adjustment age grade as potential confounders.In this study, 47% had...
Underdetermined direction-of-arrival (DOA) estimation for wideband signals by sparse arrays is discussed in the framework of Bayesian learning (SBL). The problem transformed to recovering multiple nonnegative vectors, which share same support but correspond distinct overcomplete basis matrices, from their noise contaminated linear combination vectors. A two-layer model established, and a hyperparameter vector, reveals true DOAs, set control this common sparsity model....
Background Coronary diffuse disease associates with poor outcomes, but little is known about its role after percutaneous coronary intervention (PCI). We aimed to investigate the prognostic implication of pre‐PCI focal or patterns combined post‐PCI quantitative flow ratio (QFR). Methods and Results Pre‐PCI QFR derived pullback pressure gradient (PPG) (QFR‐PPG) was measured assess physiological for 1685 included vessels; vessels were classified according dichotomous QFR‐PPG QFR....
This study investigated the acoustic characteristics of forced expiratory lung sounds during bronchial provocation tests and their predictive value for airway hyperresponsiveness (AHR). Participants underwent a test with incremental methacholine doses (0.072-1.25 mg). Forced volume in first second (FEV1) was measured using spirometry, pre-saline FEV1 as baseline. AHR defined ≥ 20% decline FEV1%Ref (FEV1 relative to baseline). Simultaneously, were recorded from right lower field. Thirty-five...
Knowledge-Enhanced Pre-trained Language Models (KEPLMs) are pre-trained models with relation triples injecting from knowledge graphs to improve language understanding abilities.Experiments show that our model outperforms other KEPLMs significantly over zero-shot probing tasks and multiple knowledge-aware tasks. To guarantee effective injection, previous studies integrate encoders for representing retrieved graphs. The operations retrieval encoding bring significant computational burdens,...