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Background: The serine/threonine kinase glycogen synthase kinase-3β (GSK-3β) is involved in a broad range of cellular processes, including cell proliferation, apoptosis, and inflammation. GSK-3β has been considered to play an important role in the pathogenesis of T2DM and AD, which is activated in both the periphery and central nervous system. However, the upstream and downstream factors and the underlying...
A fully-integrated active matrix light-emitting diode (AMLED) micro display system is presented. The system consists of a 36×64 pixel-drivers encompassed by a fully on-chip hybrid voltage regulator built on the same silicon chip, then integrated with the AMLED array by using the flip-chip bonding technology. As such, no external passive component is needed. The hybrid voltage regulator consists of...
Accurate Channel State Information (CSI) is a key requirement for massive MIMO to achieve multi-fold increases in throughput and secrecy rate. Consequently, an adversary targeting the channel sounding process has the potential to significantly degrade performance. In this paper, we first present and model the Pilot Distortion Attack, a simple but devastating jamming strategy in which the adversary...
Bottom-gate thin-film transistors (TFTs) with ITO-stabilized ZnO channel layers were successfully fabricated by co-sputtering of ZnO target and ITO target. A comparative study is made on the ITO-stabilized ZnO TFT with different ITO deposition power and different annealing time at 300 °C. It was found that ITO-stabilized ZnO TFT with ITO deposition power of 70W and annealing time of 60min exhibited...
We propose a simple, yet powerful regularization technique that can be used to significantly improve both the pairwise and triplet losses in learning local feature descriptors. The idea is that in order to fully utilize the expressive power of the descriptor space, good local feature descriptors should be sufficiently “spread-out” over the space. In this work, we propose a regularization term to maximize...
In practice, the data owners of source projects may need to share data without disclosing sensitive information. Therefore, privacy-preserving data-sharing becomes an important topic in cross-company defect prediction (CCDP). In this context, the challenge is how to achieve a high privacy-preserving level while ensuring the utility of the shared privatized data for CCDP. CLIFF&MORPH is a recently...
Electrical lifetime and relative dynamic welding failure mechanisms of electromechanical relay for capacitive load are hot topics in the area of switching devices and electrical contact materials. In this work, the silver tin oxide contact material has been tested with a capacitive load by using our designed novel model switch. The typical waveforms of contact current and contact voltage at making...
VAR (Vector Auto-regressive) model is a kind of commonly used econometric-model. It is used to estimate the dynamic relationship of the endogenous variables without any prior constraints. Since VAR is one of the most easily operated models to deal with the analysis and prediction of multiple related economic indicators, more and more attention has been paid by economists in two decades. However, with...
Vascular Interventional surgery (VIS) is the main method for diagnosis and treatment of endovascular diseases. However, the surgeon operates the surgery with hands in conventional VIS, which need the surgeons exposed to X-ray radiation with long time. The operation of the Vascular Interventional Surgery is long time processing, which will lead to fatigue of the doctor and the patient, and the doctor's...
Manual operation of steerable catheter is inaccurate in minimally invasive surgery, requires dexterity for efficient manipulation of the catheter, and exposes the surgeons to intense radiation. In this paper, our objective is to develop a remote control system that replaces the manipulation of surgeons with high accuracy. Increasing demands for flexibility and fast reactions in control method, fuzzy...
This paper aims to investigate problems of multivariable controller design for Aeroengine. A design method of model reference adaptive control system was established based on the theory of super stability. By ensuring the global stability and asymptotic stability of the system, the adaptive controller of aeroengine was carried out by using this method. The tracking performance, anti-interference ability...
Distributed energy systems with solar photovoltaic (PV) power grow rapidly in recent years in China. Accurate power forecasting is important for deep utilization and new exploitation of PV power. This study advances power forecasting modelling of PV systems using a method based on similar day selection and M5' model trees. A one-day-ahead power output forecast model is derived for an experimental...
Robust covariant local feature detectors are important for detecting local features that are (1) discriminative of the image content and (2) can be repeatably detected at consistent locations when the image undergoes diverse transformations. Such detectors are critical for applications such as image search and scene reconstruction. Many learning-based local feature detectors address one of these two...
The output power of photovoltaic (PV) power generation system is related to solar irradiance, temperature, humidity and other meteorological conditions. The output powers in the similar days, which are much alike in meteorological conditions and social activities, will be more likely close. In this paper, a prediction algorithm combining the time series and similar day is proposed to predict the power...
In this paper, we derive some second order necessary and sufficient conditions of optimal controls for a general control system on a Riemannian manifold. In our control problem, the endpoint is fixed and the control set is open in a Euclidian space. The curvature tensor of the manifold appears explicitly in our results. One of our optimality conditions can be used to recover the following famous geometry...
Aiming at the problem of poor data exchange, data sharing and poor ability of mutual guidance between the test equipment in the current shooting test, the test guidance platform for measuring equipment was designed and realized based on network. By using modular and object-oriented programming technology to develop the platform system, it achieves the real-time sharing of data between the pilot equipment,...
With the development of internet, users can express their attitudes towards public events on the social media. Monitoring and analyzing the public opinion can provide effective support for government's policy making. In this paper, a novel online public opinion (OPO) analysis platform over multi-source text streams is proposed. This OPO platform contains three layers: data collection layer, data process...
Compressed sensing (CS) with prior information concerns the problem of reconstructing a sparse signal with the aid of a similar signal which is known beforehand. We consider a new approach to integrate the prior information into CS via maximizing the correlation between the prior knowledge and the desired signal. We then present a geometric analysis for the proposed method under sub-Gaussian measurements...
Charging management for Electric Vehicles (EVs) on-the-move (moving on the road with certain trip destinations) is becoming important, concerning the increasing popularity of EVs in urban city. However, the limited battery volume of EV certainly influences its driver's experience. This is mainly because the EV needed for intermediate charging during trip, may experience a long service waiting time...
In order to resolve the tension between continuously growing mobile users' demands on content access and the scarcity of the bandwidth capacity over backhaul links, we propose in this paper a fully distributed ICN-based caching scheme for content objects in Radio Access Network (RAN) at eNodeBs. Such caching scheme operates in a cooperative way within neighbourhoods, aiming to reduce cache redundancy...
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