A Smart Drug Delivery System Based on Thermo-Responsive Polymer Gated Au NRs@SiO2 Nano-Platform

A key challenge for nanoparticles-based drug delivery system is to achieve manageable drug release in tumour cell. In this study, a versatile system combining photothermal therapy and controllable drug release for tumour cells using temperature-sensitive block copolymer coupled Au NRs@SiO2 is reported. While the Au NRs serve as hyperthermal agent and the mesoporous silica was used to improve the drug loading and decrease biotoxicity. The block copolymer acted as “gatekeeper” to regulate the release of model drug (Doxorubicin hydrochloride, DOX). Through in vivo and in vitro experiments, we achieved the truly controllable drug release and photothermal therapy with the collaborative effect of the three constituents of the nanocomposites. The reported nanocomposites pave the way to high-performance controllable drug release and photothermal therapy system.

Recognition Method of Abnormal Power Consumption State of Power Users Based on Strategy Gradient Algorithm

Because the traditional method ignores the problem of power load data preprocessing, the accuracy of the recognition result of the power consumption status is not high, the recognition efficiency is not high, and the recognition effect is not good. For this reason, a method for identifying the abnormal power consumption status of power users based on the strategy gradient algorithm is proposed. The preprocessing of power load data mainly includes the completion of missing data and the feature extraction of power load data. Based on the results of the preprocessing, the abnormal increase in user power consumption is detected. Finally, the strategy gradient algorithm is used for initial training and training process testing to complete the identification of the abnormal state of power users. The experimental results show that the accuracy of the power status recognition result of the proposed method is higher, and the recognition time is always less than 2.0 s, indicating that the recognition effect of the method is better.

Effect of Phase Fraction Ratio Between Al3Mg2 and Mg2Si on the Oxidation Behavior of Al–Mg–Si Alloys

The effect of the phase fraction ratio between Al3Mg2 and Mg2Si on the oxidation resistance of Al–Mg–Si alloys at high temperatures was investigated. With addition of 1 mass%Si in Al-6 mass%Mg alloy, the as-cast microstructures showed formation of Mg2Si phase by eutectic reactions. With increasing Si content more than 3 mass%, the Mg2Si and Si are formed as eutectic phases with no β-Al3Mg2 phase. In addition, with an increase in the Si content from 3 mass%, significantly refined as-cast microstructures and distribution of extended eutectic phase areas were observed. The oxidized cross-sections of Al-6 mass%Mg and Al-6 mass%Mg-1 mass%Si alloys showed coarse and dark areas, which are considered as oxide clusters, nonuniformly grown into the matrix. However, Al-6 mass%Mg-3 mass%Si and Al-6 mass%Mg-5 mass%Si alloys had no significantly grown oxide clusters on the surfaces. Based on the results, it was concluded that the reduction of the ratio between β-Al3Mg2 and Mg2Si phases can reduce the rapid oxidation of Mg.

Core–Shell Structured NiCo2O4@ZnCo2O4 Nanomaterials with High Energy Density for Hybrid Capacitors

NiCo2O4 as an electrode material for supercapacitors (SCs) has been studied by a host of researchers due to its unique structural characteristics and high capacitance. However, its performance has not yet reached the level of practical applications.it is an effective strategy to synthesize composite electrode materials for tackling the problem. Herein, NiCo2O4@ZnCo2O4 as a novel core–shell composite electrode material has been fabricated through a two-step simple hydrothermal method. The as-prepared sample can be directly used as cathode material of a supercapacitor, and its specific capacitance is 463.1 C/g at 1 A/g. An assembled capacitor has an energy density of 77 Wh·kg−1 at 2700 W·kg−1, and after 8000 cycles, 88% of the initial capacity remains.

Classification and Inspection of Debonding Defects in Solid Rocket Motor Shells Using Machine Learning Algorithms

Debonding problems along the propellant/liner/insulation interface are a critical factor affecting the integrity of solid rocket motors and one of the major causes of their structural failure. Due to the complexity of interface debonding detection and its low accuracy, a method of wavelet packet transform (WPT) combined with machine learning is proposed. In this research, multi-layer structure specimens were prepared to simulate the structure of a solid rocket motor. First, ultrasonic non-destructive testing technology was used to obtain defect data. Then, WPT algorithm was employed to extract characteristic signals of the defect data. Moreover, k-nearest neighbor model, Random Forest model and support vector machine model were applied to the classification. The results showed that the accuracies of the three models were 84.67%, 90.66% and 95.33%, respectively. Positive results indicate that WPT with machine learning model exhibited excellent classification performance. Therefore, WPT combined with machine learning can achieve a precise classification of debonding defects and has the potential to assist or even automate the debonding inspection process of solid rocket motors.

Performance Degradation of Polymer Solar Cells Measured in High Humidity Environment

Performance degradation is one of the crucial difficulties for the market of organic solar cell (OSC) devices. These deteriorative characteristics can be attributed to many factors, mainly to the chemical reactivity of the device multiple layers with the environment. Here, we investigate the performance of a standard OSC device made of the polymer poly(3-hexylthiophene-2,5-diyl) and the fullerene [6,6]-phenyl-C61-butyric-acid-methyl-ester (P3HT:PCBM) as a photoactive layer in a high humidity environment (53%) within 100 days divided into three periods. The results confirm that the OSC devices’ encapsulations should be completed immediately after the fabrication due to fast chemical degradation of the photoactive layer, which reduces the Jsc by 15% after 40 mins of fabrication. We also found that the FF has been reduced by 17.36% from its initial value after 1152 hours due to a deficiency of the interfacial charge transfer between the multiple layers of the device. Finally, the performance of the device’s decays to zero after 2400 hours.

Multi-Channel Data Stream Transmission Method of Internet of Things in Power Systems (IOTIPS) Based on Big Data Analysis

To solve the problems of frequent network link jitter and high bit error rate is the development direction of power grid communication technology. Therefore, a multi-channel data stream transmission method of Internet of things in power systems based on big data analysis is proposed. The data stream matching method based on big data stability mechanism is constructed by using data stream matching method to match the data stream to be transmitted and improve the anti-noise performance of the transmission process; the multichannel model of data stream transmission is constructed, and the matched data stream is transmitted by the multi-channel model; the big data analysis technology is used to process the data stream transmission process and improve the transmission performance of the model; the adaptive multi-channel equalization control method of sampling decision is used to realize the equalization design of data stream transmission channel, optimize the model transmission process, and reduce the bit error rate of transmission. Experimental results show that this method has better channel equalization performance; the link jitter frequency of this method is low, and it has better transmission stability; the lowest bit error rate can reach 0%, and the reliability of data stream transmission is high.

Design of Photoelectric Detection System Used for Atmospheric Microdroplets and Modulation Transfer Function Model of Gaussian Beam

Atmospheric corrosion is an electrochemical corrosion process of metal materials in the atmospheric environment. Microdroplet phenomenon is an experimental phenomenon in the early stage of atmospheric corrosion, which is closely related to atmospheric corrosion. Photoelectric detection of microdroplet phenomenon has become a technical means to study atmospheric corrosion. A set of microdroplet photoelectric detection systems with small size, high integration, and low detection limit is designed and constructed. First, the microdroplet optical chip is designed and fabricated. The microdroplet chip with a single function is replaced by the microdroplet chip with optical microlenses, and the miRNA is detected on the photoelectric platform of the optical chip. The optical fiber is adopted to replace the traditional objective lens to excite the optical path, reduce the volume of the spatial optical path, and realize the miniaturization of the photoelectric detection system. Based on this system, the nonlinear relationship between atmospheric turbulence effect and atmospheric optical parameters is analyzed with Gaussian beams propagating in the atmosphere. In the experiment, the detection range of the photoelectric detection system is 5 nM~100 nM, and the linear correlation is 0.9958. The signals of Cy3 and Cy5 are detected by two groups of photomultiplier tube (PMT) to realize the detection of miRNA. Microlenses enhance the intensity of the photoelectric signal and reduce the detection limit. Microdroplets are used to encapsulate miRNA, reduce the amount of detection material, and solve the degradation of detection material by RNase. The modulation transfer function model of Gaussian beam is established with the assistance of the photoelectric detection system, which is suitable for the case that cannot be ignored in Kolmogorov turbulence under the action of internal/external scale.

N, S Co-Doped Bagasse Mesoporous Carbon with Enhanced Electrochemical Performance

Nitrogen-sulfur co-doped interconnected honeycomb sheet-like biomass carbon (N, S-BC) from low-cost agriculture waste-bagasse, was prepared by a simple and effective strategy of one step heat treatment with thiourea as doping agent. The mesoporous structure of N, S-BC shows an average pore diameter of 6–25 nm, a sheet thickness of 5–7 nm, and a relatively large BET surface area of 1576.7 m2 g−1. The N, S-BC anode material exhibits better electrochemical performance than the un-doped BC and the N, S single-doped BC (N-BC and S-BC). The N, S-co-doping makes the first discharge specific capacity of BC increase 105.9%, the first coulomb efficiency increase 22.8%, and the reversible capacity increase 187.2% after 50 cycles. After 200 cycles, A relatively high reversible capacity of 572.8 mAh g−1 even can be observed at a high current density of 2 A g−1, which is 3.7 times that of BC and almost twice that of N-BC and S-BC. When using as LEDs lighting power supply, the brightness duration of N, S-BC cell shows longer than that of BC cell. The dynamic storage mechanism study results show that both the diffusion coefficient of lithium ions and capacitance contribution rate of N, S-BC are larger than those of BC. These enhanced electrochemical properties of N, S-BC are attributed to their high specific surface area, abundant uniform mesoporous structure of the honeycomb layer and defects, and the synergistic effect of diatomic doping. The one-step method of N, S co-doping technology for sheet-like porous biomass carbon could be used to synthesize high-performance lithium-ion battery electrode materials with cheap and readily available agricultural waste is used as precursors.

A Self-Powered Sensor for Body Motion Mechanical Energy Collection and Monitor

A self-powered sensor for the collection and monitor of body motion mechanical energy is manufactured. This sensor is made up of PVDF which is dealt with polarization. According to practical needs, single or multiple sensors could be selected to serve the function. Through piezoelectric voltage signal that produced by tester body motion mechanical energy to achieve body motion monitor and energy collection to charge microelectronic equipment. This kind of study can help collect body motion energy, facilitate sports training, guide exercise rehabilitation, and promote evaluation of human movement ability to prevent potential risks such as falls. It provides new ideas to material science and sports science practical application.