A5031886715- IoT and Edge/Fog Computing
- Opportunistic and Delay-Tolerant Networks
- Advanced MIMO Systems Optimization
- Caching and Content Delivery
- Vehicular Ad Hoc Networks (VANETs)
- Privacy-Preserving Technologies in Data
- Software-Defined Networks and 5G
- Cooperative Communication and Network Coding
- Advanced Wireless Communication Technologies
- Wireless Body Area Networks
- Mobile Crowdsensing and Crowdsourcing
- Blockchain Technology Applications and Security
- Satellite Communication Systems
- Inflammatory Bowel Disease
- Millimeter-Wave Propagation and Modeling
- UAV Applications and Optimization
- Human Mobility and Location-Based Analysis
- Age of Information Optimization
- Medical Research and Treatments
- Wireless Communication Networks Research
- Cancer, Lipids, and Metabolism
- Gastrointestinal Tumor Research and Treatment
- Antenna Design and Analysis
- Inflammatory Biomarkers in Disease Prognosis
- Microscopic Colitis
Chongqing University of Posts and Telecommunications
2019-2025
Zhengzhou University
2016-2024
North China Electric Power University
2024
Chongqing Science and Technology Commission
2021-2024
Affiliated Hospital of Shaanxi University of Chinese Medicine
2020-2024
Henan Cancer Hospital
2020-2024
Southwest Jiaotong University
2010-2023
Chengdu Third People's Hospital
2023
Chongqing Medical University
2023
University of Electronic Science and Technology of China
2020-2023
Abstract Objectives Although targeted therapy has revolutionized the treatment of gastrointestinal stromal tumours (GIST), it is almost never curative in GIST, and resistance commonly develops. One potential strategy to combine with immunotherapy. Materials methods We first studied Programmed cell death 1 ligand (PD‐L1) expression tumour‐infiltrating T cells (TILs) GIST. IFN‐γ was used induce upregulation PD‐L1 GIST‐882 cells, a well‐known GIST line. CD8+ T‐cell apoptosis determined by flow...
In order to mitigate the impact of explosively increasing data traffic on content request services in Internet Vehicles (IoV), edge caching technology is implemented IoV accelerate response process requests and release backhaul burden base station. However, popularity obtained by traditional method cannot capture vehicles accurately due time-varying characteristics popularity, which results a relatively low cache hit ratio. Thus, this article proposes cooperative strategy with prediction...
Whether the dynamic change of neutrophil to lymphocyte ratio (delta-NLR) can predict outcome in various malignancies remained controversial. The delta-NLR has not been evaluated colon cancer. Thus, we conducted study evaluate predictive value patients with cancer who underwent curative resection. Three-hundred and fifty-four stage I-III were retrospectively analysed. Clinicopathological features, preoperative NLR postoperative collected. Prognostic factors by univariate multivariate...
Background and objectives: Diarrhea is a common complication of enteral nutrition (EN), which affects recovery prolongs the length hospital stay (LOHS). To investigate effect fiber probiotics in reducing diarrhea associated with EN postoperative patients gastric cancer (GC), authors designed this prospective randomized-controlled trial. Methods study design: This included 120 GC, were classified into 3 groups via random picking envelopes: fiber-free formula (FF group, n = 40), fiber-enriched...
Using higher frequency bands [e.g., millimeter wave (mmWave)] is the most effective and straightforward way to alleviate scarcity at lower (e.g., microwave) while simultaneously supporting ever-growing data rate demands for future cellular networks. Cellular-networks-based high-speed railway (HSR) wireless communication systems also need be evolved satisfy requirements of train-ground transmission by using bands. An essential characteristic HSR propagation channels strong line sight, which...
Multi-access mobile edge computing (MEC) is envisioned as a key enabling technology to support compute-intensive and delay-sensitive applications in railway Internet of Things (RIoT) networks. However, the time-varying channel variations RIoT scenarios make it challenging achieve efficient resource allocation. The emerging deep reinforcement learning (DRL) able respond above-mentioned challenge. In this paper, with aim reducing total computational cost (weighted sum consumed energy delay),...
Danshen, the dried root of Salvia miltiorrhiza Bge., is a widely used commercially available herbal drug, and unstable quality different samples current issue. This study focused on comprehensive systematic method combining fingerprints chemical identification with chemometrics for discrimination assessment Danshen samples. Twenty-five were analyzed by HPLC-PAD HPLC-MSn. Forty-nine components identified characteristic fragmentation regularities summarized further interpretation bioactive...
The latest research of network and computing contributes greatly to the development vehicular networks. However, in existing works, these two important enabling technologies are studied separately. To reduce delay, this paper, we propose a multi-platform intelligent offloading resource allocation algorithm which can dynamically organize resources improve performance next-generation Considering task calculation problem, K-nearest neighbor is used select platform (i.e., cloud computing, mobile...
For high-speed railway (HSR), an essential characteristic of the propagation channels is specific spatial–temporal correlation caused by a dominant strong line-of-sight (LOS) component. Multiple-antenna gain therefore far from being achieved due to this channel correlation. However, it interesting note that if resulted intercarrier interference (ICI) elaborately controlled, high mobility may decrease Spatial modulation (SM) one promising multiple-antenna technologies for wireless...
To support the diversified Quality of Service (QoS) requirements application scenarios, network slicing has been introduced in mobile cellular network. It allows operators to accomplish creation multiple logically isolated networks on common infrastructure flexibly depending specified demands. Meanwhile, Internet Vehicles (IoV), it is very intractable supply a stable QoS for vehicles, especially dynamic vehicular environments. Thus, we investigate IoV problem this article, and propose...
Using higher frequency bands (e.g., millimeter waves) to provide data rate is an effective way eliminate performance bottleneck for future wireless networks, particularly cellular networks based high-speed railway (HSR) communication systems. However, suffer from significant path loss and narrow-beam coverage, which pose serious challenges in especially under the HSR scenario. Meanwhile, as one of key indexes ultrareliable low-latency communications 5G systems, network reliability should be...
The aim of the present study was to establish a new method based on Similarity Analysis (SA), Cluster (CA) and Principal Component (PCA) determine quality different samples Poria cocos (Schw.) Wolf obtained from Yunnan, Hubei, Guizhou, Fujian, Henan, Guangxi, Anhui Sichuan in China. For this purpose 15 habitats were analyzed by HPLC-PAD HPLC-MS(n). Twenty-three compounds detected HPLC-MS(n), which twenty tentatively identified comparing their retention times mass spectrometry data with that...
To deal with the lack of prediction and management for vehicular network slice in existing research, this paper designs a machine learning based resource allocation strategy slicing. Firstly, traffic mechanism on Convolutional Long Short-Term Memory (ConvLSTM) is proposed, which will capture spatial-temporal dependencies to predict complex services networks. Secondly, considering imbalance wireless utilization caused by space-time difference between application scenarios, shared proportional...
The soaring data traffic brings tremendous pressure on core networks. Collaborative caching among edge servers and user devices has been regarded as a promising technology for releasing backhaul reducing content download delay in the next-generation communication network. However, given capacity constraint of devices, challenge is how to exploit these storage resources efficiently. In this paper, we introduce three-tier collaborative architecture edge-user networks propose social-aware...
Objective . To investigate the absorption property of representative hydrolyzable tannin, namely corilagin, and its hydrolysates gallic acid (GA) ellagic (EA) from Fructus Phyllanthi tannin fraction (PTF) in vitro Methods Caco-2 cells monolayer model was established. Influences PTF on viability were detected with MTT assay. The transport across monolayers examined for different time points, concentrations, secretory directions. inhibitors P-glycoprotein (P-gp), multidrug resistance proteins...
To support diverse Internet of vehicles (IoV) services with different quality service (QoS) requirements, network slicing is applied in vehicular networks to establish multiple logically isolated on common physical infrastructure. However, dynamic and efficient radio access (RAN) adapting the dynamics remains challenging. The applications make multi-dimensional resource which will result allocation more complicated. In addition, system needs frequently adjust resources slices, cause...
Ultra reliability and low latency communications (URLLC) are considered as one of the most important use cases for computation tasks in Internet Vehicles (IoV) edge computing networks. To meet task requirements IoV networks, communication resources allocated an effective efficient way. Thus, this paper proposes a multi-objective reinforcement learning strategy, called intelligent resource allocation (ICCRA), which combines to reduce total system cost consisting reliability. Specifically,...
Low earth orbit (LEO) satellite networks have become one of the hot research areas as an essential part communication networks. The dynamic topology and unbalanced traffic demand may lead to intersatellite link (ISL) congestion; thus, improving network load balancing performance is key issues be addressed in LEO We propose a load-balanced collaborative offloading (LBCO) strategy achieve balanced distribution LBCO consists two algorithms, namely, channel-aware gradient fair association...