Targeting DNA-repair systems brings hopes to cancer patients

CAS researchers have recently raised a hypothesis to circumvent tumor resistance to radio-and

A Study on the Multi-Compartment Linear Circulation Pharmacokinetic Model for the Targeting Drug Delivery System

By analyzing the observed phenomena and the data collected in the study, a multi-compartment linear circulation model for targeting drug delivery system was developed and the function formulas of the drug concentration-time in blood and target organ by computing were figured out. The drug concentration-time curve for target organ can be plotted with reference to the data of drug concentration in blood according to the model. The pharmacokinetic parameters of the drug in target organ could also be obtained. The practicability of the model was further checked by the curves of drug concentration-time in blood and target organ(liver) of liver-targeting nanoparticles in animal tests. Based on the liver drug concentration-time curves calculated by the function formula of the drug in target organ, the pharmacokinetic behavior of the drug in target organ(liver) was analyzed by statistical moment, and its pharmacokinetic parameters in liver were obtained. It is suggested that the (relative targeting index( can be used for quantitative evaluation of the targeting drug delivery systems.

Target Tracking and Obstacle Avoidance for Multi-agent Systems

This paper considers the problems of target tracking and obstacle avoidance for multi-agent systems. To solve the problem that multiple agents cannot effectively track the target while avoiding obstacle in dynamic environment, a novel control algorithm based on potential function and behavior rules is proposed. Meanwhile, the interactions among agents are also considered. According to the state whether an agent is within the area of its neighbors＇ influence, two kinds of potential functions are presented. Meanwhile, the distributed control input of each agent is determined by relative velocities as well as relative positions among agents, target and obstacle. The maximum linear speed of the agents is also discussed. Finally, simulation studies are given to demonstrate the performance of the proposed algorithm.

Reliability Analysis of Heterogeneous Sensor-Cloud Systems against Targeted Attacks

Based on the wide application of cloud computing and wireless sensor networks in various fields,the Sensor-Cloud System(SCS)plays an indispensable role between the physical world and the network world.However,due to the close connection and interdependence between the physical resource network and computing resource network,there are security problems such as cascading failures between systems in the SCS.In this paper,we propose a model with two interdependent networks to represent a sensor-cloud system.Besides,based on the percolation theory,we have carried out a formulaic theoretical analysis of the whole process of cascading failure.When the system’s subnetwork presents a steady state where there is no further collapse,we can obtain the largest remaining connected subgroup components and the penetration threshold.Theoretically,this result is the critical maximum that the coupled SCS can withstand.To verify the correctness of the theoretical results,we further carried out actual simulation experiments.The results show that a scale-free network priority attack’s percolation threshold is always less than that of ER network which is priority attacked.Similarly,when the scale-free network is attacked first,adding the power law exponentλcan be more intuitive and more effective to improve the network’s reliability.

Controlling spiral wave with target wave in oscillatory systems

Spiral waves have been controlled by generating target waves with a localized inhomogeneity in the oscillatory medium. The competition between the spiral waves and target waves is discussed. The effect of the localized inhomogeneity size has also been studied.

Adaptive Track Predicting Control for Target Tracking Control Systems

According to the characteristic of maneuvering targets tracking system, adaptive track predicting control is proposed from the point of predicting the motion track of the maneuvering target. For this method, least mean square（LMS） adaptive filter is applied to estimate the future track of the target. The structure of this filter is simple and the calculation amount is small. It is therefore suitable to being used in real-time control system. Testing results have proved that the control method can improve the tracking precision for maneuvering targets obviously.

Network systems biology for targeted cancer therapies

The era of targeted cancer therapies has arrived.However,due to the complexity of biological systems,the current progress is far from enough.From biological network modeling to structural/dynamic network analysis,network systems biology provides unique insight into the potential mechanisms underlying the growth and progression of cancer cells.It has also introduced great changes into the research paradigm of cancer-associated drug discovery and drug resistance.

Subject,Object and Target Systems of Rural Human Resource Development

From subject,object and target subsystems,we analyze the rural human resource development system.The subject system includes government,education and training organizations,society,and rural human resource itself.Different development subject bears different responsibility.Object system includes farmers engaged in farming,farmer workers,rural unemployed people,rural students,rural left-behind people,and other people in rural areas.Different development object has different features.Development target system includes raising quality of rural human resource,keeping reasonable population size,optimizing structure of rural human resource,and improving vitality of rural human resource,etc.

Application of Large-Scale Systems Theory in Fire Control Systems

According the to the model of single tank fire control system, this paper makes use of decomposition-coordination theory of large-scale systems to discuss the shooting problem of multiple tank the control systems, and alalyzes specifically the three-tank the control systems and models.the process was imitated in computer, and the optimal shooting element of 3TS system was got. In addition, probability of hitting the target was calculated.

Hepatitis C Virus Experimental Model Systems and Antiviral drug Research

An estimated 130 million people worldwide are chronically infected with hepatitis C virus (HCV) making it a leading cause of liver disease worldwide. Because the currently available therapy of pegylated interferon-alpha and ribavirin is only effective in a subset of patients, the development of new HCV antivirals is a healthcare imperative. This review discusses the experimental models available for HCV antiviral drug research, recent advances in HCV antiviral drug development, as well as active research being pursued to facilitate development of new HCV-specific therapeutics.

Drug-targeting methodologies with applications: A review

Targeted drug delivery to solid tumors is a very active research area, focusing mainly on improved drug formulation and associated best delivery methods/devices. Drug-targeting has the potential to greatly improve drug-delivery efficacy, reduce side effects, and lower the treatment costs. However, the vast majority of drug-targeting studies assume that the drug-particles are already at the target site or at least in its direct vicinity. In this review, drug-delivery methodologies, drug types and drug-delivery devices are discussed with examples in two major application areas:(1) inhaled drug-aerosol delivery into human lung-airways; and(2) intravascular drug-delivery for solid tumor targeting. The major problem addressed is how to deliver efficiently the drug-particles from the entry/infusion point to the target site. So far, most experimental results are based on animal studies. Concerning pulmonary drug delivery, the focus is on the pros and cons of three inhaler types, i.e., pressurized metered dose inhaler, dry powder inhaler and nebulizer, in addition to drug-aerosol formulations. Computational fluid-particle dynamics techniques and the underlying methodology for a smart inhaler system are discussed as well.Concerning intravascular drug-delivery for solid tumor targeting, passive and active targeting are reviewed as well as direct drug-targeting, using optimal delivery of radioactive microspheres to liver tumors as an example. The review concludes with suggestions for future work, considereing both pulmonary drug targeting and direct drug delivery to solid tumors in the vascular system.

ANALYSIS OF TARGET TRACKING BASED ON RANGE DIFFERENCE MEASUREMENT OF MULTISTATIC RADAR SYSTEM

An analysis is presented for target tracking with short range multistatic radar system in this paper. The velocity vector is introduced into the model to depict target motion more precisely. The system measurement equation is such constructed on the basis of range difference that make the tracking model independent of the transmitter position. Therefore the algorithm is very much suitable for the case that the transmitter is not fixed. Simulation results show that the algorithm has the advantages of fast tracking and small steady tracking errors, and can be used for tracking target in short range with multistatic radar system.

MUTS-Based Cooperative Target Stalking for A Multi-USV System

This paper is concerned with the cooperative target stalking for a multi-unmanned surface vehicle(multi-USV)system.Based on the multi-agent deep deterministic policy gradient(MADDPG)algorithm,a multi-USV target stalking(MUTS)algorithm is proposed.Firstly,a V-type probabilistic data extraction method is proposed for the first time to overcome shortcomings of the MADDPG algorithm.The advantages of the proposed method are twofold:1)it can reduce the amount of data and shorten training time;2)it can filter out more important data in the experience buffer for training.Secondly,in order to avoid the collisions of USVs during the stalking process,an action constraint method called Safe DDPG is introduced.Finally,the MUTS algorithm and some existing algorithms are compared in cooperative target stalking scenarios.In order to demonstrate the effectiveness of the proposed MUTS algorithm in stalking tasks,mission operating scenarios and reward functions are well designed in this paper.The proposed MUTS algorithm can help the multi-USV system avoid internal collisions during the mission execution.Moreover,compared with some existing algorithms,the newly proposed one can provide a higher convergence speed and a narrower convergence domain.

Delivering Microrobots in the Musculoskeletal System

Disorders of the musculoskeletal system are the major contributors to the global burden of disease and current treatments show limited efficacy.Patients often suffer chronic pain and might eventually have to undergo end-stage surgery.Therefore,future treatments should focus on early detection and intervention of regional lesions.Microrobots have been gradually used in organisms due to their advantages of intelligent,precise and minimally invasive targeted delivery.Through the combination of control and imaging systems,microrobots with good biosafety can be delivered to the desired area for treatment.In the musculoskeletal system,microrobots are mainly utilized to transport stem cells/drugs or to remove hazardous substances from the body.Compared to traditional biomaterial and tissue engineering strategies,active motion improves the efficiency and penetration of local targeting of cells/drugs.This review discusses the frontier applications of microrobotic systems in different tissues of the musculoskeletal system.We summarize the challenges and barriers that hinder clinical translation by evaluating the characteristics of different microrobots and finally point out the future direction of microrobots in the musculoskeletal system.

Relationship of plasma proadrenomedullin and cortisol levels with systemic inflammatory response and target organ damage in children with sepsis after burn

Objective: To study the relationship of plasma proadrenomedullin (pro-ADM) and cortisol (Cor) levels with systemic inflammatory response and target organ damage in children with sepsis after burn. Methods: A total of 30 children with sepsis after burn who were treated in the hospital between August 2014 and August 2016 were collected as observation group, and 30 normal children who received vaccination in the hospital during the same period were collected as normal control group. The pro-ADM and Cor levels in plasma as well as the levels of inflammatory factors, myocardial injury markers and intestinal barrier function indexes in serum of the two groups were determined. Pearson test was used to assess the correlation of plasma pro-ADM and Cor levels with systemic inflammatory response and target organ damage in patients with sepsis after burn. Results: Plasma pro-ADM and Cor levels in observation group were higher than those in normal control group. Serum inflammatory cytokines IL-1, IL-6, IL-10 and TNF-α levels in observation group were higher than those in normal control group;serum myocardial injury markers CK-MB, cTnⅠ and NT-proBNP levels were higher than those in normal control group;serum intestinal barrier function indexes ET, DAO and D-L levels were higher than those in normal control group. Conclusion: Plasma pro-ADM and Cor levels increase in patients with sepsis after burn, and are highly consistent with systemic inflammatory response and target organ injury.

Directly radiolabeled phage with spleen-targeting specificity

Phage display technique is a powerful approach for discovering new tumor-and organ-targeting ligands,and radiolabeled phage has a potential to analyze the phage-binding sensitivity and specific imaging.In this study,phage Ⅱ (the spleen-targeting phage) in mice was isolated after three rounds biopanning,and labeled by 99mTc using mercaptoacetyltriglycine (MAG3) as chelator to evaluate their binding properties in vivo.The amount of phage Ⅱ eluted from spleen was enriched by plague assay each round.99mTc-MAG3-phage Ⅱ showed the less retention in blood at any time point than half that of 99mTc-MAG3-phage Ⅰ (the radiolabeled original Ph.D-12 phage as control).The accumulation in spleen between 99mTc-MAG3-phage Ⅰ and Ⅱ was of different tendency.The highest uptake of 99mTc-MAG3-phage Ⅱ in spleen was 24.80 %ID/g at 30 min;and of 99mTc-MAG3-phage I,30.93% ID/g at 5 min.After circulating 99mTc-MAG3-phage Ⅱ for 120 min,its accumulation in spleen decreased though higher than that of 99mTc-MAG3-phage Ⅰ.In other organs,the 99mTc-MAG3-phage Ⅱ showed low retention and high spleen-to-organ or tissue ratios.In conclusion,the radiolabeled phage Ⅱ is convenient for studying the binding and specificity of spleen-targeting peptides found via phage display in vivo.

Passive Target Tracking in Non-cooperative Radar System Based on Particle Filtering

We propose a target tracking method based on particle filtering(PF) to solve the nonlinear non-Gaussian target-tracking problem in the bistatic radar systems using external radiation sources. Traditional nonlinear state estimation method is extended Kalman filtering (EKF), which is to do the first level Taylor series extension. It will cause an inaccuracy or even a scatter estimation result on condition that there is either a highly nonlinear target or a large noise square-error. Besides, Kalman filtering is the optimal resolution under a Gaussian noise assumption, and is not suitable to the non-Gaussian condition. PF is a sort of statistic filtering based on Monte Carlo simulation that is using some random samples (particles) to simulate the posterior probability density of system random variables. This method can be used in any nonlinear random system. It can be concluded through simulation that PF can achieve higher accuracy than the traditional EKF.

Systemic treatment of hepatocellular carcinoma secondary to nonalcoholic fatty liver disease

Hepatocellular carcinoma(HCC)is the third leading cause of cancer death globally,with 15%of cases arising on a background of non-alcoholic fatty liver disease(NAFLD).NAFLD is a heterogenous condition ranging from fatty liver to cirrhosis and is itself a growing global problem,with estimated worldwide prevalence of 50%in 2040.Pathophysiology of NAFLD-HCC is not well understood,there are no dedicated screening programs,and there have been no clinical studies of anticancer treatments in this population specifically.However,the NAFLD-HCC population appears different than other aetiologies-patients tend to be older,diagnosed at more advanced stages,have more comorbidities,and overall worse prognosis.Understanding of best treatment options for this group of patients is an urgent unmet clinical need.This narrative review discusses NAFLD-HCC pathophysiology and systemic treatment,and offers suggestions for future directions in this therapy area.

Study on Tat Mediated Magnetic Nanoparticles Having Composite Targeting Function

This paper describes a new formulation of magnetic nanoparticles coated by a novel polymer matrix-O-Carboxylmethylated Chitosan (O-CMC) as a drug/gene carrier. The O-CMC magnetic nanoparticles were derivatized with a peptide sequence from the HIV-tat protein and transferrin to improve the translocational property and cellar uptake of the nanoparticles. To evaluate the O-MNPs-Tat-Tf as a drug carrier, Methotrexate (MTX) was incorporated as a model drug and MTX-loaded O-MNPs-Tat-Tf with an average diameter of 75 nm were prepared and characterized by TEM, AFM and VSM.The cytotoxicity of MTX-loaded O-MNPs-Tat-Tf was investigated with C6 cells. The results showed that the MTX-loaded O-MNPs-Tat-Tf retained significant antitumor toxicity.

Application of Fuzzy Automata Decision-Making System in Target Control

In order to perform better in target control, this paper proposed a decision-making system method based on fuzzy automata. The decision-making system first preprocessed the signal and then performed a two-level decision on the target to achieve optimal control. The system consisted of four parts: signal preprocessing, contrast decision-making, comprehensive judgment of decision-making and decision-making result. These decision algorithms in target control were given. A concrete application of this decision-making system in target control was described. Being compared with other existing methods, this paper used both global features and local features of target, and used the decision-making system of fuzzy automata for the target control. Simulation results showed that the control effect based on the decision-making system was better than that of the other existing methods. Not only it was faster, but also its correct control rate was higher to be 95.18% for the target control. This research on the control system not only developed the FA theory, but also strengthened its application scope in the field of control engineering.