Yang Yang

• PhD
• Nanjing University of Posts and Telecommunications

The study of subglacial lakes requires clean access and sampling technologies. One of the most promising alternatives is the newly developed thermal drill, the RECoverable Autonomous Sonde (RECAS), which allows downward and upward ice drilling and subglacial water sampling while the subglacial lake remains isolated from the surface. The original so...

Red blood cells (RBCs), often referred to as "intelligent delivery systems", can serve as biological or hybrid drug carriers due to their inherent advantages and characteristics. This innovative approach has the potential to enhance biocompatibility, pharmacokinetics, and provide targeting properties for drugs. By leveraging the unique structure an...

Modern automated generation control (AGC) is increasingly complex, requiring precise frequency control for stability and operational accuracy. Traditional PID controller optimization methods often struggle to handle nonlinearities and meet robustness requirements across diverse operational scenarios. This paper introduces an enhanced strategy using...

Accurate short-term power forecasting (STPF) provides reliable support for the stable operation of power systems. However, due to the randomness of consumer behavior and energy properties, outliers inevitably exist in power series. Considering its negative influence, effectively extracting features from the power series with outliers has become a s...

The study of subglacial lakes requires clean access and sampling technologies. One of the most promising alternatives is the newly developed hot-point RECoverable Autonomous Sonde (RECAS), which allows downward and upward ice drilling and subglacial water sampling while the subglacial lake remains isolated from the surface. The original sonde desce...

A differentially private average consensus (DPAC) problem for multi-agent systems (MASs) with a dynamic self-triggered mechanism is reported in this paper. With the privacy-based dynamic self-triggered mechanism (PDSTM), a DPAC control algorithm is proposed. An adaptive coupling gain related to privacy measurement errors among agents is introduced...

This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over the last 20 years, highlighting its success in solving complex optimization problems. We focus on key aspects of QLMA, including parameter adaptation, operator selection, and balancing global exploration with local exploitation. QLMA has become a leading sol...

Accurate short-term load forecasting (STLF) is crucial for the power system. Traditional methods generally used signal decomposition techniques for feature extraction. However, these methods are limited in extrapolation performance, and the parameter of decomposition modes needs to be preset. To end this, this paper develops a novel STLF algorithm...

Gene therapy aims to add, replace or turn off genes to help treat disease. To date, the US Food and Drug Administration (FDA) has approved 14 gene therapy products. With the increasing interest in gene therapy, feasible gene delivery vectors are necessary for inserting new genes into cells. There are different kinds of gene delivery vectors includi...

Power load data frequently display outliers and an uneven distribution of noise. To tackle this issue, we present a forecasting model based on an improved extreme learning machine (ELM). Specifically, we introduce the novel Pinball-Huber robust loss function as the objective function in training. The loss function enhances the precision by assignin...

An optimal tracking control problem is critical for marine surface vessels (MSVs) with full state constraints, input constraints, external disturbances, and model uncertainty terms. For solving an MSV’s position and velocity constraints, a barrier Lyapunov function (BLF) and control barrier function (CBF) are introduced and combined with prescribed...

Power systems are pivotal in providing sustainable energy across various sectors. However, optimizing their performance to meet modern demands remains a significant challenge. This paper introduces an innovative strategy to improve the optimization of PID controllers within nonlinear oscillatory Automatic Generation Control (AGC) systems, essential...

It is a critical issue for achieving dynamic average consensus (DAC) in the presence of privacy eavesdroppers and false data injection (FDI) attacks, and this scenario is applicable to intelligent transportation systems. A dynamic event-triggered privacy preserving DAC (DET-PPDAC) control scheme is proposed. Firstly, in a privacy-sensitive scene, d...

Conducting scientific drilling on subglacial lakes and obtaining samples of subglacial lake water holds great significance in unraveling the formation and evolution of Antarctic subglacial lakes and early Earth’s life forms. Despite various approaches to access and directly sample subglacial water and sediments, clean access and exploration of subg...

Wind power forecasting techniques have been well developed over the last half-century. There has been a large number of research literature as well as review analyses. Over the past 5 decades, considerable advancements have been achieved in wind power forecasting. A large body of research literature has been produced, including review articles that...

Malicious attack is a potential threat to collision‐free and connectivity‐preserving formation. In this article, a predictor‐based collision‐free and connectivity‐preserving resilient formation control strategy is proposed for a class of multi‐agent systems under sensor deception attacks. The predictor states are constructed to replace original sta...

Variable‐pitch quadrotors have demonstrated their capability to enhance control performance and overcome limitations compared to conventional fixed‐pitch quadrotors, while still facing challenges such as nonlinearity, couplings, uncertainties and so on. This article aims to address the robust attitude control problem of variable‐pitch quadrotors af...

Aim This study aimed to examine the association of liver enzymes, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl-transferase (GGT), with type 2 diabetes (T2D) risk, particularly their dose-response relationship. Methods This cross-sectional study enrolled participants aged >20 years old who underwent...

Colchicine (COL), a widely used natural drug, has potent anti-inflammatory effects; however, as a narrow therapeutic index drug, its clinical application is limited by its serious gastrointestinal adverse effects, and only oral formulations are currently marketed worldwide. Recent studies have shown that transdermal, injection, and oral drug delive...

Aim Multiple studies have investigated the association between alanine aminotransferase (ALT) and diabetes mellitus (DM); however, only a few studies have specifically examined the relationship between ALT and diabetic kidney disease (DKD). This study aimed to investigate the relationship between ALT and DKD using clinical data. Methods A cross-se...

This paper researches the event-triggered forward immersion and invariant (I&I) tracking control problem for a class of strict feedback nonlinear systems. A forward I&I-based control method is developed for the tracking problem with an dynamic event-triggered mechanism. Since I&I-based method does not require the introduction of Lyapunov functions...

Effectively integrating the complementary information from RGB-D images presents a significant challenge in robotic grasping. In this letter, we propose a full-flow bidirectional feature fusion grasp detection network (FFBGNet) based on a hybrid architecture to generate accurate grasp poses from RGB-D images. First, we construct an efficient Cross-...

In this paper, we propose a distributed resilient control method to solve an output synchronization problem for linear heterogeneous multi-agent systems (MASs) in the presence of both link and actuator attacks. A fully distributed event-trigger-based observer is proposed to estimate the state of the leader, where global information is not required...

This paper proposes a novel adaptive integral terminal sliding mode (AITSM) control for a vessel train with obstacle avoidance . A vessel train comprises several autonomous surface vehicles (ASVs). First, a finite-time lumped uncertainty observer is used to estimate the lumped uncertainties and compensate them for the controller, which enhances the...

A 198.8 m deep borehole was drilled through ice to subglacial bedrock in the northwestern marginal part of Princess Elizabeth Land, ~12 km south of Zhongshan Station, in January–February 2019. Three years later, in February 2022, the borehole temperature profile was measured, and the geothermal heat flow (GHF) was estimated using a 1-D time-depende...

The photocatalytic degradation of formaldehyde by graphite-like C3N4 is one of the most attractive and environmentally friendly strategies to address the significant threat to human health posed by indoor air pollutants. Despite its potential, this degradation process still faces issues with suboptimal efficiency, which may be attributed to the rap...

A collision-free and connectivity-preserving formation control issue is addressed for a class of nonlinear multi-agent systems (MASs) with external disturbances. The control objective of this paper is divided into two aspects. One is formation control for collision avoidance and connectivity preservation among a leader and communication-connected f...

An efficient way to alleviate the pollution imposed by petroleum-based supplies like synthetic fibres and plastics is to prepare biocomposites from recyclable forestry waste with a continuous supply. Despite this, it remains a significant challenge in the field of wood-based panel manufacturing to produce high-performance yet environmentally friend...

JOURNAL/nrgr/04.03/01300535-202403000-00038/inline-graphic1/v/2023-08-11T153926Z/r/image-tiff Traumatic brain injury results in neuronal loss and glial scar formation. Replenishing neurons and eliminating the consequences of glial scar formation are essential for treating traumatic brain injury. Neuronal reprogramming is a promising strategy to con...

Malicious attack is a potential threat for collision-free and connectivity-preserving formation control. In this paper, a predictor-based collision-free and connectivity-preserving resilient formation control strategy is presented for a class of nonlinear multi-agent systems under sensor deception attacks. The predictor states are designed to repla...

Even the potential of T cell-mimicking nanotrap for long term viral control due to its overcoming of human immunodeficiency virus (HIV) genetic diversity and viral resistance, the robust HIV inhibition was not expected because these nanotraps displayed no obvious advantages compared with the infinite host cells. Herein, a glycoprotein 120 (gp120)-t...

We propose a distributed event‐triggered dynamic average consensus (DAC) scheme with a time‐varying threshold for a multi‐agent system (MAS) in a directed graph. In this scheme, each agent is not required to monitor its neighbors in real time, and a threshold is chosen related to consensus performance directly in an MAS, where the threshold is adju...

In time series forecasting with outliers and random noise, parameter estimation in a neural network via minimizing the $l_{2}$ loss is unreliable. Therefore, an adaptive rescaled lncosh loss function is proposed in this article to handle time series modeling with outliers and random noise. It overcomes the limitation of the single distribution of...

Ice cores from polar zones could determine ice dating and biodiversity. Ice cores retrieved in hot-water ice-coring drilling partly melted owing to moderate drilling speed of annular drill head withmany nozzles, which was largely depended on the heat transfer efficiency of jet to ice at boreholebottom. To obtain the higher drilling speed and ice co...

Wood-based panels provide efficient alternatives to materials such as plastics derived from traditional petroleum sources and thereby help to mitigate greenhouse gas emissions. Unfortunately, using indoor manufactured panel products also results in significant emissions of volatile organic compounds including olefins, aromatic and ester compounds,...

It is very important to establish a sustained-release pralidoxime chloride (2-PAM) drug system with brain targeting function for the treatment of neurotoxicant poisoning. Herein, Vitamin B1 (VB1), also known as thiamine, which can specifically bind to the thiamine transporter on the surface of the blood-brain barrier, was incorporated onto the surf...

An event-triggered output feedback control approach is proposed via a disturbance observer and adaptive dynamic programming (ADP). The solution starts from constructing a nonlinear disturbance observer which only depends on the measurement of system output. A state observer is then developed based on approximation information of system dynamics via...

Despite the success of small interfering RNA (siRNA) in clinical settings and its potential value in human immunodeficiency virus (HIV) therapy, the rapid clearance and absence of precise delivery to target cells still hinder the therapeutic effect of siRNA. Herein, a new system, which can escape immune recognition, has HIV‐1 neutralizing capacity,...

Fault-tolerant control (FTC) of a non-affine system with uncertainties is one of critical issues in nonlinear control. In this paper, in the presence of unknown actuator failures, an event-trigger-based FTC scheme is proposed for such a nonlinear system with predefined performance. For actuator failures, a compensation mechanism is designed to alle...

An attitude control issue is concerned for a quadrotor with external disturbances in this paper. For unknown system dynamics, predictor-based neural networks (NNs) are introduced, where prediction errors, angular velocities, are constructed, instead of tracking errors, for updating NNs' weights. This replacement reduces the occurrence of high-frequ...

This article is concerned with resilient consensus control for a heterogeneous multiagent system (HMAS) in the presence of malicious attacks on sensors. Most existing strategies are dependent on compensation principle resulting in bounded consensus error. To address this issue, a multiround attack detection and isolation (MR-ADI) algorithm is prese...

There are abundant shrub species resources in the world, but their natural defects such as short growth cycle, loose material, easy cracking plus deformation, and low strength have seriously affected their scope of application. With the ever-decreasing of natural forest resources, the research on quality improvement and efficiency enhancement of sm...

In the context of high-quality development, environmental issues are being paid more and more attention to, and the release of free formaldehyde has become a major problem that needs to be solved. Glueless plywood mainly adopts natural substances as raw materials, without adding chemical products, such as resin adhesives, and it does not contain ha...

For a general linear multiagent system (MAS) with multigroup suffering from disturbances, a cloud-based output consensus control scheme, including a cloud predictive control protocol and a disturbance observer, is proposed to achieve output consensus via cloud computing. In a cloud framework, agents in each group only send their own information to...

Incomplete remote sensing image observation data require proper processing to restore the original data. Nevertheless, the lack of information, due to noise and dead pixels, along with the quality of the acquired images that may be severely degraded, limits the accuracy of later processing. Therefore, this paper proposes a remote sensing image rest...

Chronic lead poisoning has become a major factor in global public health. Chelation therapy is usually used to manage lead poisoning. Dimercaptosuccinic acid (DMSA) is a widely used heavy metal chelation agent. However, DMSA has the characteristics of poor water solubility, low oral bioavailability, and short half-life, which limit its clinical app...

In load forecasting fields, electricity demand with hierarchical structure is very popular where there are some differences among investigated load series because of geography or customers' habits. Common methods usually ignore their differences and introduce some complex models to improve forecasting performance. Therefore, appropriately dealing w...

As one of the most efficient, low-cost, and readily available electrocatalysts for oxygen evolution reaction (OER) in alkaline environments, the nickel-iron electrocatalyst is of great significance to commercial water splitting. In this study, NiFe-layered double hydroxide loaded on nickel foam (NiFe-LDH/NF) was synthesized via a simple one-step hy...

Traditional wood-based panels are usually made from large-diameter trees and rely on adhesives for compactness, which negatively impacts the environment and human health. However, the widely distributed small-diameter shrubs are good raw materials for wood-based panels with abundant fibers, but are often under-exploited. This research reports the p...

Dissimilar joining of advanced engineering materials is an important link to optimize the structure and improve the performance of products. However, joining two distinct materials encounter severe difficulties owing to the several metallurgical and thermo-physical problems that can arise. This paper described the work performed on laser welding of...

Accurate power load forecasting plays an integral role in power systems. To achieve high prediction accuracy, models need to extract effective features from raw data, and the training of models needs a large amount of data. However, data sharing will require the disclosure of the private data of the participants. To address this issue, we combined...

Communal living for older people exists in many different forms, such as suburban communities , lifestyle communities, retirement villages and residential aged care communities (RAC) where electricity is supplied via a main gate meter to the whole community. Australia's Small-scale Renewable Energy Scheme incentivizes individuals and businesses to...

This paper is concerned with an event-triggered adaptive fault-tolerant problem for an uncertain non-affine system. The implicit function theorem and mean value theorem are utilized to transform a non-affine system into an affine one, and an extended state observer and a tracking differentiator are used to estimate unknown dynamics and the derivati...

Background An increasing number of research studies have demonstrated the superiority of NK cells in clinical applications for cancer therapy. For a long time, the brain was considered as restricted area for immune cells because of the BBB, making the efficacy of NK cell-based immunotherapy on glioma is still insufficient. Therefore, a strategy to...

Accurate power load forecasting has a significant effect on a smart grid by ensuring effective supply and dispatching of power. However, electric load data generally possesses the characteristics of nonlinearity, periodicity, and seasonality. In particular, for complex electric load systems, the presence of redundant information potentially reduces...

As one of the most frequent complications of critical illness, acute lung injury (ALI) carries a high risk of clinical morbidity and mortality. Cepharanthine (CPA) has significant anti-inflammatory activity, however, due to poor water solubility, low bioavailability, and short half-life, it fails to provide effective clinical management measures. H...

A 2-PAM@bio-MOF-1 composite was prepared by cationic exchange of counter N,N-dimethylammonium cations in the pores of the anionic, biocompatible metal-organic framework (bio-MOF-1) with pralidoxime chloride (2-PAM-Cl) by impregnation. In vitro drug release measurements revealed that the release rate of 2-PAM from 2-PAM@bio-MOF-1 in simulated body f...

In engineering applications, many real-world optimization problems are nonlinear with multiple local optimums. Traditional algorithms that require gradients are not suitable for these problems. Meta-heuristic algorithms are popularly employed to deal with these problems because they can promisingly jump out of local optima and do not need any gradi...

The present study simulates a residential building in a hot-humid climate. Phase change material (PCM) blocks were employed in the walls of the building. The building with PCM-block walls and a classical building were compared in terms of energy consumption for hot water, lighting, electricity (home appliances), and cooling in different months. Mor...

As unsupervised learning algorithm, clustering algorithm is widely used in data processing field. Density-based spatial clustering of applications with noise algorithm (DBSCAN), as a common unsupervised learning algorithm, can achieve clusters via finding high-density areas separated by low-density areas based on cluster density. Different from oth...

Rivaroxaban (RIV) is a direct Factor Xa inhibitor anticoagulant, but the oral bioavailability of RIV is estimated to be only 60% due to its poor solubility. The aim of the present study was to improve the solubility and bioavailability of RIV. Five cocrystals—p-hydroxybenzoic acid (HBA), 2,4-dihydroxybenzoic acid (DBA), nicotinamide (NA), isonicoti...

For a class of nontriangular nonlinear systems in presence of unknown disturbances, we propose a predictor-based neural dynamic surface control (PNDSC) strategy in this paper. This nontriangular system is transformed via the mean value theorem, and a predictor is then constructed. To avoid an algebraic loop problem, partial state vectors are employ...

Wind energy is a core sustainable source of electric power, and accurate wind-speed forecasting is pivotal to enhancing the power stability, efficiency, and utilization. The existing forecasting methods are still limited by the influence of outliers and the modelling difficulties caused by complex features in wind speed series. This paper proposes...

Recent studies have demonstrated that ivermectin (IVM) exhibits antiviral activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative virus of coronavirus disease (COVID-19). However, the repurposing of IVM for treatment of COVID-19 has presented challenges primarily due to the low IVM plasma concentration after ora...

An output feedback-based containment control strategy is proposed with an event-triggered mechanism for a class of stochastic nonlinear multi-agent systems (MASs). For unavailable internal states of individual agent, a state observer is constructed for their estimations. The dynamic surface control (DSC) technology is employed to improve traditiona...

Plasma arc welding of dissimilar DP1180 ultrahigh-strength steel and 5A06 aluminum alloy assisted by copper transition layer was applied and a hybrid joint was obtained consisting of two metallurgical bonding zones. The hybrid joint consisted of the weld formed by the fusion welding of steel and copper on steel side, unmelted Cu and the Cu-Al inter...

Formation control is one of critical control issues in multi‐agent systems (MASs). In this article, we extend the traditional formation to a bipartite one in a structurally balanced signed graph and propose a bipartite formation control strategy for an MAS with unknown external disturbances and nonsymmetric input saturation constraints. Neural netw...

An aspherical airborne camera has excellent performance in the field of photoelectric reconnaissance equipment. However, the image plane contrast of the optical system will be reduced by stray light originating from inside or outside of the optical system. In the present work, the self-designed aspheric airborne camera is manufactured with a baffle...

Recurrent implantation failure (RIF) is a challenge in the field of reproductive medicine, but mechanisms for its occurrence remain still unclear. Long non-coding RNAs (lncRNAs) have been found to play a vital role in many different diseases. In recent years, the differentially expressed lncRNAs have been reported in endometrial tissues. Here, we p...

This paper addresses a secure predictor-based neural dynamic surface control (SPNDSC) issue for a cyber–physical system in a nontriangular form suffering from both sensor and actuator deception attacks. To avoid the algebraic loop problem, only partial states are employed as input vectors of neural networks (NNs) for approximating unknown dynamics,...

Objective To investigate the added value of the quantitative analysis of full and reduced field-of-view apparent diffusion coefficient (fADC and rADC) maps for evaluating extramural venous invasion (EMVI) in rectal cancer.Materials and methodsA total of 94 rectal cancer patients who underwent direct surgical resection were enrolled in this prospect...

Engineering training, as a compulsory course for colleges and universities to carry out engineering practice teaching, plays a huge role in learning basic technological knowledge, creating innovative thinking, and cultivating engineering practice and innovation capabilities. Combining the characteristics of engineering training practice teaching in...

Formation control is a hot topic in multiagent systems (MASs). In this article, a bipartite time-varying prescribed range formation is developed for a class of nonlinear MASs with unknown disturbances. The time-varying prescribed range formation means that agents achieve a formation shape within a predefined region relative to their neighbors, and...

Neural dynamic surface control (NDSC) is an effective technique for the tracking control of nonlinear systems. The objective of this article is to improve closed-loop transient performance and reduce the number of learning parameters for a strict-feedback nonlinear system with unknown control gains. For this purpose, a predictor-based NDSC (PNDSC)...

A fixed-time active disturbance rejection control (FTADRC) consensus tracking strategy is proposed for a class of non-affine nonlinear multi-agent systems with an event-trigger-based communication. Non-affine followers are transformed into affine ones by combining the implicit function theorem with the mean value theorem. A distributed event-trigge...

An improved version of the arithmetic optimization algorithm (AOA) based on the opposition-based learning (OBL) strategy called OBLAOA is proposed in this paper. The proposed OBLAOA algorithm consists of two stages, and in the second stage we adds OBL to update the AOA population in each iteration. The improved AOA is compared with the original AOA...

Nanosuspensions, as a new drug delivery system for insoluble drugs, are only composed of a drug and a small amount of stabilizer, which is dispersed in an aqueous solution with high drug-loading, small particle size, high dispersion, and large specific surface area. It can significantly improve the dissolution, bioavailability, and efficacy of inso...

Purpose To compare the imaging quality, T stage and extramural venous invasion (EMVI) evaluation between the conventional and synthetic T2-weighted imaging (T2WI), and to investigate the role of quantitative values obtained from synthetic magnetic resonance imaging (MRI) for assessing nodal staging in rectal cancer (RC). Methods Ninety-four patien...