- UAV Applications and Optimization
- Nuclear reactor physics and engineering
- IoT and Edge/Fog Computing
- Heat transfer and supercritical fluids
- Energy Harvesting in Wireless Networks
- Financial Markets and Investment Strategies
- Advanced Neural Network Applications
- Nuclear Materials and Properties
- Corporate Finance and Governance
- Advanced MIMO Systems Optimization
- Distributed systems and fault tolerance
- Nonlinear Dynamics and Pattern Formation
- Advanced Wireless Communication Technologies
- Peer-to-Peer Network Technologies
- Cooperative Communication and Network Coding
- Nuclear Engineering Thermal-Hydraulics
- Fluid Dynamics and Vibration Analysis
- Wind Energy Research and Development
- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
- Caching and Content Delivery
- Wave and Wind Energy Systems
- Extracellular vesicles in disease
- Network Security and Intrusion Detection
- Educational Research and Pedagogy
Shanghai Jiao Tong University
2016-2024
XinHua Hospital
2024
Nanjing University of Posts and Telecommunications
2013-2022
Shanghai Sixth People's Hospital
2022
University of Technology Sydney
2021
University of Minnesota
2019
Georgia Institute of Technology
2016
University of Waterloo
2009
Microsoft (United States)
2007
With the unprecedented development of smart mobile devices (SMDs), e.g., Internet-of-Things and smartphones, various computation-intensive applications are explosively increasing in ultradense networks (UDNs). Mobile-edge computing (MEC) has emerged as a key technology to alleviate computation workloads SMDs decrease service latency for applications. benefits network function virtualization, MEC can be integrated with cloud radio access (C-RAN) UDNs communication cooperation. However,...
Technological evolutions in unmanned aerial vehicle (UAV) industry have granted UAVs more computing and storage resources, leading to the vision of UAVs-assisted edge computing, which missions can be offloaded from a cellular network UAV cloudlet. In this paper, we propose computation offloading paradigm, where group fly around, while providing value-added services. The complex are decomposed as some typical task-flows with inter-dependencies. By taking into consideration inter-dependencies...
Adipose-derived stem cells (ADSCs) and their extracellular vesicles (EVs) have therapeutic potential in ischemic brain injury, but the underlying mechanism is poorly understood. The current study aimed to explore contribution of miRNAs ADSC-EVs treatment cerebral ischemia.After intravenous injection ADSC-EVs, efficacy was evaluated by neurobehavioral tests atrophy volume. polarization microglia assessed immunostaining qPCR. We further performed miRNA sequencing analyzed relationship between...
Unmanned aerial vehicle (UAV)-assisted communication is envisioned as a potential solution to the data traffic explosion in massive machine-type communications (mMTC) scenario. In this article, we investigate UAV-assisted cellular networks, where UAV acts flying relay offload part of from overloaded cell another. We utilize practical spatial distribution and convincing air-to-ground channel model. The quality service (QoS) defined utility function which designed based on packet loss ratio...
Computation-intensive mobile applications are explosively increasing and cause computation overload for smart devices (SMDs). With the assistance of edge computing cloud computing, SMDs can rent resources offload computation-intensive to clouds remote clouds, which reduces application completion delay energy consumption SMDs. In this paper, we consider with task call graphs investigate offloading resource scheduling problem in hybrid edge-cloud networks. Due interdependency tasks,...
Research and applications of unmanned aerial vehicles (UAVs) are becoming increasingly prosperous in these years due to the maturity aircraft technology regulations. A large amount UAVs be deployed cities undertake tasks such as environment monitoring security surveillance. For those computation-intensive tasks, on-board execution can lead inefficiency unsustainability limited battery life computing resources UAVs. To this end, paper adopts cooperative mobile edge that energy consumption...
The implementationof computation offloading is a challenging issue in the remote areas where traditional edge infrastructures are sparsely deployed. In this study, authors propose unmanned aerial vehicle (UAV)-enabled computing framework, group of UAVs fly around to provide near-users service. They study migration problem for complex missions, which can be decomposed as some typical task-flows considering inter-dependency tasks. Each time task appears, it should allocated proper UAV...
Cell-free massive multiple-input multiple-output (MIMO) which utilizes a certain number of distributed access points (APs) that connect to central processing unit serve all users in the network, arises much attention recently. Compared with APs on ground, aerial can be flexibly deployed according distribution users, is especially suitable for system frequently-moving or temporary emergency communication scenario. In this paper, we investigate cell-free MIMO framework use unmanned vehicles...
The ever-increasing demand for multimedia contents has imposed severe traffic overload pressure on mobile network operators (MNOs). Cooperative data offloading is a promising approach to alleviate the congestion, which leverages device-to-device (D2D) communications among users. However, users may not be obligated participate in cooperative offloading, since it will involve additional costs such as storage, bandwidth and battery energy. In this paper, we propose centralized caching-based...
Catalytic reactions on surfaces with forced oscillations in physical or electronic properties undergo controlled acceleration consistent the selected parameters of frequency, amplitude, and external stimulus waveform. In this work, general reaction reversible A-to-B chemistry is simulated by varying catalytic (heat reaction, transition state intermediate energies) oscillation (frequency, endpoints, waveform) to evaluate influence overall turnover frequency steady extent conversion....
Although recent research has demonstrated spouse support for technology use among older adults, by treating them as a homogeneous group, it overlooked differences caused socio-demographic dimensions in their digital engagement. Following the approach of grounded theory and interviewing 15 couples developing aging region (Wuzhi County, Henan, China), this study paints fuller picture couple adoption adults terms psychological motivations dividing into two categories: supports recipients. The...
Dynamic VM memory management via the balloon driver is a common strategy to manage resources of VMs under changing workloads. However, current approaches rely on kernel instrumentation estimate working set size, which usually result in high run-time overhead. Thus system administrators have tradeoff between estimation accuracy and performance. This paper presents iBalloon, light-weight, accurate transparent prediction based mechanism enable more customizable efficient ballooning policies for...
Previous literature finds that anomalies are at least as prevalent in developed markets emerging markets; namely, the global anomaly puzzle. We show while market development and information diffusion linearly related, has a nonlinear impact on anomalies. This is consistent with theoretical developments concerning process of diffusion. In extremely low efficiency regimes, without newswatchers sowing seeds price discovery ensuring long-run convergence to fundamental, initial mispricing...
In this paper, we study the achievable uplink rates of massive multiple-input multiple-output (MIMO) systems using maximal-ratio combining (MRC) and zero-forcing (ZF) receivers, assuming imperfect channel state information (CSI). Unlike all previous studies, fast fading MIMO matrix here is modeled to have an arbitrary-rank deterministic component as well a Rayleigh-distributed random component. particular, it found that with non-zero Ricean K-factor, approximations exact converge same...
Tnt1 is an active retrotransposon originally identified in tobacco (Nicotiana tabacum L.) (Grandbastien et al., 1989), but its transposition activity could be activated through tissue culture other plant species. The insertions are stable and inheritable the progeny, which has made it a valuable versatile tool for developing insertional mutagenesis libraries several Here, we explored utility cucumber (Cucumis sativus L.). T3 transgenic plants were subjected to regenerate self-pollinated...
The pitch motion of the Offshore Floating Wind Turbine (OFWT) introduces additional wind speed to rotor. distributes linearly along vertical altitude, which is called as platform-pitch-induced shear effect in this paper. Comparisons between typical and are conducted with Free Vortex Method (FVM) for NREL 5MW baseline turbine. It found that results rotor rotating platform pitching, its profile time-varying. At designed point tip ratio 7, averaged power output reduced slightly under while it...
In this paper, an energy efficient data collection algorithm is proposed for Wireless Sensors Networks employing a single Unmanned Aerial Vehicle (UAV-WSNs). the system, since position and amount of sensors are stochastic, UAV as relay scans area along fixed path to collect all sensors. Energy saving main challenge prolong life time The research paper reduce consumption by jointly optimizing flight trajectory UAV, schedule power sensor transmit data. original problem can be formulated...
Total hip arthroplasty (THA) is a common surgical procedure known for its generally positive outcomes, but it also comes with the risk of site infections (SSIs), which can result in significant complications and higher healthcare costs. Effective patient education plays vital role reducing these risks, as well-informed patients are more likely to take preventive measures identify early signs complications. The advent advanced language models like GPT-4o has opened new avenues education,...