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There is growing empirical evidence that certain types of chemotherapy and phototherapy trigger immunogenic cell death and enhance the therapeutic anticancer efficacy of genetic immunotherapy. However, the main challenge is spatiotemporally co-delivering different drugs to maximize the therapeutic index of the combination therapy. In this study, a drug delivery system (HTCP-Au/shPD-L1/DOX) was designed with a polysaccharide-wrapped shell and a condensed DNA core. To construct the HTCP-Au vector, dodecyl side chains with a polyethylenimine (PEI) head were grafted onto hyaluronic acid, and AuNPs were grafted via Au-S bonds. During drug loading, PEI arrested shRNA plasmid DNA targeting programmed cell death ligand 1 (shPD-L1) via electrostatic interactions. It also formed a PEI-DNA core that was automatically enclosed when aliphatic hydrocarbons pulled the hyaluronic acid backbone. A hydrophobic interlayer consisting of dodecyl bridge chains between the PEI-DNA core and the hyaluronic acid shell was required to accommodate hydrophobic doxorubicin. In vitro and in vivo assays demonstrated that this core-shell drug delivery system could efficiently load and transport three different drugs and effectively target tumors. Moreover, it could activate the immune system, thereby providing promising therapeutic efficacy against tumor growth and metastasis., Graphical abstract HTCP-Au/shPD-L1/DOX was composed of gold nanoparticles (AuNPs)-modified hyaluronic acid shell, shPD-L1 plasmid core compressed by cationic polyethyleneimine and doxorubicin (DOX) encapsulated in hydrophobic layer. It could target to tumor cells by the CD44 receptor which is over-expressed in tumor microenvironment, followed by drug releasing responsively at 808 nm laser and the low pH in lysosome. Then the PD-L1 gene silencing induced by shPD-L1 and immunogenic cell death effect triggered by DOX and AuNPs will eliminate the tumor synergisticallyImage, graphical abstract

In order to ensure the quality of tobacco products, it is necessary to strictly control the environment of tobacco during storage. In order to save manpower and material resources and realize accurate monitoring of the storage environment, a large-scale tobacco storage monitoring system based on heterogeneous network was designed. Combining the cross-regional characteristics of NB-IoT and low-frequency characteristics of LoRa, NB-IoT was used as a wide area network and LoRa as a subordinate local area network to form a two-layer network structure. Its structure includes sensor node and gateway node, and the gateway node is composed of LoRa gateway and NB-IoT module. This paper introduces the composition and working mode of each part in detail.

Lora (Long Range) wireless communication technology is unique in IoT communication solutions with its advantages of low power consumption and wide coverage. In the process of cigarette production, the storage environment during storage will affect the quality of tobacco leaves, and the tobacco leaves themselves will cause greater attenuation during signal transmission. By analyzing the storage environment of tobacco leaves, this paper proposes a wireless real-time environmental monitoring system based on Lora communication technology, including data collection nodes, Lora gateways, etc., and introduces their functions in detail. Finally, the feasibility is verified by testing.

This paper describes a distributed industrial park monitoring system based on NB-IoT technology. The system uses the STM32 to control the sensors work, and uses the NB-IoT communication module to realize the remote data transmission between the monitor terminal and the network server. This design is different from the traditional monitoring system based on the wide area Internet of Things, and has the advantages of low cost, low power consumption and wide coverage area.

This paper introduces a moisture monitor based on NB-IoT which can be used to remotely measure the moisture of tobacco packet that will be stored for a long time. The sensor section of the device uses a capacitive method to complete capacitance to voltage conversion and the monitor uses STM32 to control the sensor work. The measured data is transmitted to the web server through NB-IoT, and further data analysis and processing can be performed on the server side. The moisture monitor designed by us in this paper has achieved high precision, low power consumption and low packet loss rate after being used in the tobacco warehouse. The device can work for two years and the status of tobacco moisture was monitored steadily.

The Mach-Zehnder (MZ) modulator is a widely-used electro-optic modulator, but its operation point drifts with time and temperature, making the modulation performance worse. Therefore, a bias controller is needed to suppress drift. MZ modulator bias control method based on pilot analysis has good robustness and thus has many practical applications. However, many of the circuit designs based on the pilot method of the MZ modulator bias controller (MBC) are complicated, and the flexibility of the pilot generation is not satisfying. In response to these shortcomings, the paper introduces a new MZ modulator bias controller design. The bias controller uses the internal timer and DAC resources of the MCU to form a DDS generator instead of the traditional external oscillator, which makes the generation of the pilot frequency more flexible, and the signal conditioning circuit is improved. Test results show that the proposed MZ bias controller can achieve an extinction ratio of more than 30dB, and can finish the lock process at the Quad point within 20 seconds.

Traditional manual fire-fighting water cannons cost much physical strength to operate due to its own weight and lasting fire-fighting process. In order to reduce the physical stress of firefighters and ensure their safety, a remote control system for water cannons based on STM32 using freeRTOS is introduced in this paper. It has both manual mode and automatic mode with distance of remote control over 250 meters. Power consumption performance has been additionally optimized to extend the standby time considering it’s battery-powered.

To improve the dynamic performances of permanent magnet synchronous motor (PMSM) drive, a novel implementation of speed controller based on adaptive fuzzy logic is presented in this paper. Using the output of the fuzzy speed controller (FC), the quadrature axis current reference value can be obtained. At the same time, the outputs of the current controller can be corrected by the disturbance voltage observer's outputs. Results of simulation are provided to demonstrate the effectiveness of the proposed scheme under the occurrence of parameter variations and external disturbance.

Clustering based routing protocols have the benefit of reducing routing overhead and increasing performance in the transmission delay and average throughput. In this paper, on the basis of CBRP we propose a new protocol called KHPCBRP (K-Hop Passive Clustering Based Routing Protocol) which enlarges the range of electing clusterhead to K hops and adopts the strategy of passive clustering. In addition, the concept of Prepared ClusterHead (PCH) is introduced for replacing the invalid current clusterhead to reduce the re-clustering overhead. The simulation result shows that KHPCBRP provides better performance in MANET network of large scale and high mobility.

Cluster based routing protocols have the benefit of reducing routing overload and increasing performance in the transmission delay and throughput. In this paper, on the basis of CBRP we propose a new protocol called KHCBRP (K-Hop Cluster Based Routing Protocol) which enlarges the range of electing clusterhead to K hops and introduces the concept of metric of constraint degree to restrain the clusterhead election. KHCBRP also improves the routing discovery by integrating the inter-cluster on-demand routing and the intra-cluster table-driven routing, which can solve blindly "Broadcast" problem in CBRP and reduce redundant information and routing overload in the network. The simulation result shows that KHCBRP provides better performance in the MANET network of large scale and high mobility.

For permanent magnet synchronous motor (PMSM) direct torque controlled (DTC) drive, stator resistance variation and conventional hysteresis controller will bring high flux linkage and torque ripples inevitably. In order to solve this problem, the implementation of fuzzy direct torque controlled drive for permanent magnet synchronous based on neural networks is presented, which replaces the conventional hysteresis controller with fuzzy controller and estimates the stator resistance on line using the learning capability of neural networks. Results of simulation are provided to demonstrate that the proposed drive has low flux linkage and torque ripples, and has the quick response performance even under the occurrence of parameter variations and external disturbance.