A5022535289- Advanced Optical Network Technologies
- Advanced Photonic Communication Systems
- Optical Network Technologies
- Software-Defined Networks and 5G
- Cancer Genomics and Diagnostics
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Salmonella and Campylobacter epidemiology
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- CAR-T cell therapy research
- Liver Disease Diagnosis and Treatment
- IoT and Edge/Fog Computing
- Viral gastroenteritis research and epidemiology
- Cancer Immunotherapy and Biomarkers
- Antibiotic Resistance in Bacteria
- Infrastructure Maintenance and Monitoring
- Genomic variations and chromosomal abnormalities
- Indoor and Outdoor Localization Technologies
- Semiconductor Lasers and Optical Devices
- Pancreatic and Hepatic Oncology Research
- Oral Health Pathology and Treatment
- SARS-CoV-2 detection and testing
- Oral microbiology and periodontitis research
- Non-Destructive Testing Techniques
University of Science and Technology of China
2023-2025
The University of Texas Health Science Center at Houston
2021-2024
The University of Texas MD Anderson Cancer Center
2022-2024
Emory University
2022
Beijing University of Posts and Telecommunications
2021
Chongqing University
2018
Abstract Vision‐based autonomous inspection of concrete surface defects is crucial for efficient maintenance and rehabilitation infrastructures has become a research hot spot. However, most existing vision‐based methods mainly focus on detecting one kind defect in nearly uniform testing background where are relatively large easily recognizable. But the real‐world scenarios, multiple types often occur simultaneously. And them occupy only small fractions images swamped cluttered background,...
Trauma remains a leading cause of morbidity and mortality in part due to secondary multi-organ injury. However, our ability predict the downstream pathophysiology adverse outcomes trauma is limited. Here, we select panel microRNAs (miRNAs) biomarker candidates based on plasma RNA-Seq analysis patients unique pro-inflammatory nucleotide motif structures identified via machine learning-guided computer exhaustive search algorithm. We test miRNAs for their association with various...
Failure of resolution pathways in periodontitis is reflected levels specialized pro-resolving lipid mediators (SPMs) and SPM pathway markers but their relationship with the subgingival microbiome unclear. This study aimed to analyze integrate mediator level, receptor gene expression data subjects vs. healthy controls. The included 13 periodontally 15 that were evaluated prior or after non-surgical periodontal therapy. Samples gingival tissue plaque collected 8 weeks treatment; only once...
The rapid evolution of data transmission has posed unprecedented challenges to the dynamic resource provisioning in optical networks. In this letter, we investigate spectrum defragmentation problem elastic networks, and propose a novel deep reinforcement learning based solution Deep-DF achieve self-adaptive optimization. Compared existing pre-fixed heuristics tailored only immediate optimizations for current network state, key advantage is that it can be trained identify perform hitless...
Nowadays, the booming of emerging network services have shifted major traffic pattern in metro-aggregation networks from point-to-point (P2P) to hub-and-spoke (H&S). Hence, it will be promising plan with point-to-multipoint coherent optical transceivers (P2MP-TRXs). This work studies how a survivable wavelength-switched (WSON) P2MP-TRXs and shared backup path protection (SBPP) address single-link failures. We formulate an integer linear programming (ILP) model place P2MP-TRXs, assign...
The accuracy of deep learning models for many disease prediction problems is affected by time-varying covariates, rare incidence, covariate imbalance and delayed diagnosis when using structured electronic health records data. situation further exasperated predicting the risk one on condition another disease, such as hepatocellular carcinoma among patients with nonalcoholic fatty liver due to slow, chronic progression, scarce data both conditions sex bias diseases. goal this study investigate...
Introduction Despite significant successes, immune checkpoint blockade fails to achieve clinical responses in a proportion of patients, predictive markers for are imperfect and immune-related adverse events (irAEs) unpredictable. We used T-cell receptor (TCR) sequencing systematically analyze prospectively collected patient blood samples from randomized trial dual inhibitor therapy evaluate changes the repertoire their association with response irAEs. Methods Patients immunotherapy-naïve...
Cell label annotation is a challenging step in the analysis of single-cell RNA sequencing (scRNA-seq) data, especially for tissue types that are less commonly studied. The accumulation scRNA-seq studies and biological knowledge leads to several well-maintained cell marker databases. Manually examining lists against these databases can be difficult due large amount available information. Additionally, simply overlapping two without considering gene ranking might lead unreliable results. Thus,...
Abstract The T-cell receptor (TCR) repertoire is highly diverse among the population and plays an essential role in initiating multiple immune processes. TCR sequencing (TCR-seq) has been developed to profile T cell repertoire. Similar other high-throughput experiments, contamination can happen during several steps of TCR-seq, including sample collection, preparation sequencing. Such creates artifacts data, leading inaccurate or even biased results. Most existing methods assume ‘clean’...
We study the dynamic service provisioning in drop-and-continue optical networks based on point-to-multipoint transceivers (P2MP-TRXs), and leverage asymmetric subcarrier (SC) allocation SC-level reconfiguration to optimize resource utilization with low operational complexity.
Single-cell RNA sequencing is a powerful tool to investigate the cellular makeup of tumor samples. However, due sparse data and complex microenvironment, it can be challenging identify neoplastic cells that play important roles in growth disease progression. This especially relevant for blood cancers, where may highly similar normal cells. To address this challenge, we have developed partCNV partCNVH, two methods rapid accurate detection aneuploid with local copy number deletion or...
The recently presented coherent point-to-multipoint transceivers (P2MP-TRXs), which are enabled by digital subcarrier modulation, have been viewed as a promising substitute for the point-to-point transceivers, especially network segments with hub-and-spoke traffic patterns. This paper studies planning of wavelength-switched optical networks P2MP-TRXs, includes correlated routing and spectrum assignment, placement P2MP-TRXs in groups corresponding assignments. We design an efficient heuristic...
The rapid development of emerging network services are shifting the major communication scheme in metro-aggregation networks from unicast to in-cast and multicast, which has promoted point-to-multipoint coherent optical transceivers (P2MP-TRXs). Meanwhile, for its cost-effectiveness energy-efficiency, filterless (FON) been considered as a promising infrastructure networks, it is naturally compatible with P2MP-TRXs because they both rely on broadcast-and-select communications. In this paper,...
The optimal duration of intravenous (IV) antibiotic therapy for children with nontyphoidal Salmonella bacteremia (NTSB) is unknown. objective the authors this study to evaluate differences in outcomes among NTSB who received a short (≤3 days; short-duration group [SDG]) versus long (>3 long-duration [LDG]) course IV antibiotics.This retrospective 3 months 18 years old admitted tertiary pediatric health care system southeastern United States between 2008 and 2018.Among 57 patients without...
A proactively IP-optical integration architecture is proposed to adaptively configure IP topology for dynamic service demand, realizing cross-layer network on-demand provision; and the experiment results indicate that its average resource utilization elevated greatly under evaluated scenario.
Cross-sectional analyses of primary cancer genomes have identified regions recurrent somatic copy-number alteration, many which result from positive selection during formation and contain driver genes. However, no effective approach exists for identifying genomic loci under significantly different degrees in cancers subtypes, anatomic sites or disease stages.
BACKGROUND AND OBJECTIVES Molecular diagnostics provide a rapid and sensitive diagnosis of gastroenteritis compared with stool culture. In this study, we seek to describe the changes in medical management outcomes children Salmonella as our hospital system adopted molecular diagnostics. METHODS This study is retrospective chart review <18 years age diagnosed nontyphoidal between 2008 2018 at large pediatric health care southeastern United States. Those immunocompromising conditions...
Recently, to cope with the ever-growing traffic volumes and network services in Internet, coherent point-to-multipoint transceivers (P2MP-TRXs) enabled by digital subcarrier modulation (DSCM) technique have been developed viewed as a promising replacement of conventional point-to-point (P2P-TRXs), especially for metro-aggregation networks hub-and-spoke patterns. Nevertheless, planning wavelength switched optical (WSONs) P2MP-TRXs can be rather complex, additional correlated constraints are...
Abstract Background Deep learning models showed great success and potential when applied to many biomedical problems. However, the accuracy of deep for disease prediction problems is affected by time-varying covariates, rare incidence, covariate imbalance using structured electronic health records data. The situation further exasperated predicting risk one on condition another disease, such as hepatocellular carcinoma among patients with nonalcoholic fatty liver due slow, chronic...
We address the challenge of provisioning dynamic requests in a wavelength-switched optical network (WSON) built with coherent point-to-multipoint transceivers (P2MP-TRXs) this work. An efficient heuristic for transceiver, routing, and spectrum assignment (TRSA) is proposed, along subcarrier (SC) level proactive defragmentation method that can further enhance performance through reconfiguring allocations leaf P2MP-TRXs. Extensive simulations confirm effectiveness our proposals.
Abstract Single-cell RNA sequencing is becoming an increasingly common tool to investigate the cellular population and patients' outcomes in cancer research. However, due sparse data complex tumor microenvironment, it challenging identify neoplastic cells that play important roles growth disease progression. This challenge exaggerated research of blood patients, from whom can be highly similar normal cells. Here, we present partCNV/partCNVH, a statistical framework for rapid accurate...