Wireless electrical stimulation at the nanoscale interface induces tumor vascular normalization

Pathological angiogenesis frequently occurs in tumor tissue, limiting the efficiency of chemotherapeutic drug delivery and accelerating tumor progression. However, traditional vascular normalization strategies are not fully effective and limited by the development of resistance. Herein, inspired by the intervention of endogenous bioelectricity in vessel formation, we propose a wireless electrical stimulation therapeutic strategy, capable of breaking bioelectric homeostasis within cells, to achieve tumor vascular normalization. Polarized barium titanate nanoparticles with high mechano-electrical conversion performance were developed, which could generate pulsed open-circuit voltage under low-intensity pulsed ultrasound. We demonstrated that wireless electrical stimulation significantly inhibited endothelial cell migration and differentiation in vitro. Interestingly, we found that the angiogenesis-related eNOS/NO pathway was inhibited, which could be attributed to the destruction of the intracellular calcium ion gradient by wireless electrical stimulation. In vivo tumor-bearing mouse model indicated that wireless electrical stimulation normalized tumor vasculature by optimizing vascular structure, enhancing blood perfusion, reducing vascular leakage, and restoring local oxygenation. Ultimately, the anti-tumor efficacy of combination treatment was 1.8 times that of the single chemotherapeutic drug doxorubicin group. This work provides a wireless electrical stimulation strategy based on the mechano-electrical conversion performance of piezoelectric nanoparticles, which is expected to achieve safe and effective clinical adjuvant treatment of malignant tumors.

Arduino-based low-cost electrical load tracking system with a long-range mesh network

A system that combines the advantage of the long-range(LoRa)communication method and the structural characteristics of a mesh network for an LoRa mesh network-based wireless electrical load tracking system is proposed.The system demonstrates considerable potential in reducing data loss due to environmental factors in farfield wireless energy monitoring.The proposed system can automatically control the function of each node by confirming the data source and eventually adjust the system structure according to real-time monitoring data without manual intervention.To further improve the sustainability of the system in outdoor environments,a standby equipment is designed to automatically ensure the normal operation of the system when the hardware of the base station fails.Our system is based on the Arduino board,which lowers the production cost and provides a simple manufacturing process.After conducting a long-term monitoring of a near-field smart manufacturing process in South Korea and the far-field energy consumption of rural households in Tanzania,we have proven that the system can be implemented in most regions,neither confined to a specific geographic location nor limited by the development of local infrastructure.This system comprises a smart framework that improves the quality of energy monitoring.Finally,the proposed big-data-technology-based power supply policy offers a new approach for prolonging the power supply time of off-grid power plants,thereby providing a guideline for more rural areas with limited power sources to utilize uninterrupted electricity.