Limited battery power directly affects the performance and survival time of sensor networks. In this study, solar energy was used to provide additional energy for sensor nodes, and a clustering algorithm for heterogeneous wireless sensor networks (WSNs) based on a solar energy supply is proposed. A cluster head is selected on the basis of the self-replenishment state and the remaining energy of the nodes. A cluster-head selection mechanism and network layer multi-hop routing are adopted to balance the energy consumption of the network. A set of experiments showed that the proposed algorithm can effectively prolong the network lifetime, improve the stability and efficiency of the network, and balance the energy consumption compared with other algorithms under the same environmental energy supply.
When it comes to long-acting injections, lyotropic liquid crystals (LLCs) are considered as an effective and powerful drug delivery technology due to their low manufacturing and injection difficulty, consistent releasing behaviors with low burst, as well as broadly applicable drug loading capacity. However, monoolein and phytantriol, as two widely used LLC-forming materials, may give rise to tissue cytotoxicity and undesired immunological responses, which may hinder the wide application of this technology. In this study, we opted for two ingredients, phosphatidylcholine and α-tocopherol, as carriers on account of their nature-obtainable and biocompatible qualities. By changing the ratios between them, we conducted research on crystalline types, nanosized structures, viscoelastic differences, characteristics of releasing behaviors, and in vivo safety. To fully exploit this in situ LLC platform with both injectability and sprayability, we focused on the treatment of both hormone-sensitive (HSPC) and castration-resistant prostate cancer (CRPC). For HSPC, we found that spraying leuprolide and a cabazitaxel-loaded LLC platform on the tumor bed after resection greatly reduced tumor metastatic rate and prolonged the survival time. Besides, for CRPC, our results demonstrated that although leuprolide (a kind of drug for castration) alone could hardly limit the progression of CRPC with low MHC-I expression, its combination with cabazitaxel in our LLC platform achieved a significantly better tumor-inhibiting and anti-recurrent efficacy than single cabazitaxel-loaded LLC platform, owing to enhanced CD4 + T cell infiltration in tumors and immune-potentiating cytokines. In conclusion, our dual-functional and clinically achievable strategy might provide a treating solution toward both HSPC and CRPC.
Seaport buildings have been affected by marine moisture for a long time, but
most of the wall thermal insulation studies have not considered the moisture
transfer effect of the wall structure. Therefore, considering the moisture
transfer function of the wall structure and the energy consumption of solar
radiation, based on the energy cost analysis, the paper puts forward the
research on the wall thermal insulation and energy-saving technology of the
harbor building based on the energy cost analysis. Grey clustering is used
to analyze the project cost and environmental benefits to determine the
index weight. By using two kinds of thermal insulation materials and three
kinds of insulation positions, the thermal performance and condensation
characteristics of the wall are analyzed. It is found that increasing the
thickness of the insulation layer is conducive to reducing the heat loss of
the wall. Extruded polystyrene foam (XPS) thermal insulation material is
better than expandable polystyrene board (EPS) insulation material, while
EPS is more economical and energy-saving than XPS.
This paper establishes a 3-D localization model and based on this model, it proposes a collaborative localization framework. In this framework, node that observes the object sends its attitude information and the relative position of the object's projection in its camera to the cluster head. The cluster head adopts an algorithm proposed in this paper to select some nodes to participate localization. The localization algorithm is based on least square method. Because the localization framework is based on a 3-D model, the size of the object or other prerequisites is not necessary. At the end of this paper, a simulation is taken on the numbers of nodes selected to locate and the localization accuracy. The result implies that selecting 3~4 nodes is proper. The theoretical analysis and the simulation result also imply that a const computation time cost is paid in this framework with a high localization accuracy (in our simulation environment, a 0.01 meter error).
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