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More and more attention has been paid to farmland water conservancy project (FWCP) maintenance in China, which can reallocate water resources in a more rational and efficient manner. Compared with the traditional survey such as field survey, FWCP maintenance can be improved efficiently with geospatial technology. To improve the level of FWCP maintenance in China, a collaborative sensing system framework by integrating satellite, aerial, and ground remote sensing is put forward. The structure of the system framework includes three sections, namely the data acquisition, the operational work, and the application and service. Through the construction and operation of such collaborative sensing system, it will break through the limitation of any single remote sensing platform and provide all-around and real-time information on FWCP. The collaborative monitoring schemes for the designed FWCP maintenance can engage ditch riders to maintain more effectively, which will enable them to communicate more specifically with smallholders in the process of irrigation. Only when ditch riders and farmers are fully involved, irrigation efficiency will be improved. Furthermore, the collaborative sensing system needs feasible standards for multi-source remote sensing data processing and intelligent information extraction such as data fusion, data assimilation, and data mining. In a way, this will promote the application of remote sensing in the field of agricultural irrigation and water saving. On the whole, it will be helpful to improve the traditional maintenance problems and is also the guarantee for establishing a long-term scientific management mechanism of FWCP maintenance in developing countries, especially in China.

The rapid development of remote sensing (RS) technology enables an increased usage of high - resolution, spatial, temporal or spectral, data to extract vegetation information, improve model parameters, and estimate energy crop biomass accurately. Five estimation methods developing with RS information for energy crop biomass are summarized in this paper. Firstly, the statistical analysis with vegetation index can be regarded as the commonest method. But it is faulted for the deficiency of sample data and the vulnerability to the influence of many factors such as cloudy days. Secondly, the longer wavelength makes SAR information popular for crop biomass estimation. But many limitations lead to measurement uncertainty and bring about poor classification. Thirdly, NPP can directly reflect accumulated biomass production through photosynthesis and measure the consequences caused by climate change and human activities. But, actual LUE, the results of environmental stresses such as light intensity, temperature, water, and nutrients, is usually considered as a constant. Fourthly, crop height information is vitally important for biomass estimation. Yet the corresponding application is often subject to many factors e.g. crop variety, growth period, and farmland management practices limits. Lastly, the most promising approach lies in the possibility of assimilating state variables from RS data into CGMs. And the advent of latest instruments with better characteristics offer a unique chance to overcome current limitations. In the end, the main challenges and opportunities for energy crop biomass estimation using RS information in the future are listed.

Traffic light recognition in urban environments is crucial for vehicle control. Many studies have been devoted to recognizing traffic lights. However, existing recognition methods still face many challenges in terms of accuracy, runtime and size. This paper presents a novel robust traffic light recognition approach that takes into account these three aspects based on image processing and deep learning. The proposed approach adopts a two-stage architecture, first performing detection and then classification. In the detection, the perspective relationship and the fractal dimension are both considered to dramatically reduce the number of invalid candidate boxes, i.e. region proposals. In the classification, the candidate boxes are classified by SqueezeNet. Finally, the recognized traffic light boxes are reshaped by postprocessing. Compared with several reference models, this approach is significantly competitive in terms of accuracy and runtime. We show that our approach is lightweight, easy to implement, and applicable to smart terminals, mobile devices or embedded devices in practice.

Natural pollen, one of the most fascinating biological materials in existence, exhibits chemical modifications and tunable optical property in the process of fossilization. Herein, we firstly fabricated nature-based fossil-like pollen grains (F-PGs) with UV-responsive optical properties through a facile concentrated H2SO4 treatment. The F-PGs featured incomplete carbonization property while remaining the UV-active alkyl aliphatic groups, which could initiate the carbonylation of F-PGs surface under UV irradiation, thus endowing the distinct UV dose-dependent photochromic and fluorogenic dual-function of F-PGs. With the sustainable, easy-preparation and cost-effective advantages, the F-PGs were used to construct dual-functional films. The F-PG films presented high photochromic contrast (ΔE* = 32) to serve as smartphone-readable quick response code-patterned UV sensors, which indicated the highest reported cumulative dose of UV irradiation (108 J cm−2, equivalent to 10 days of exposure to sunlight). In addition, the UV-irradiated F-PG films with the fluorogenic property also showed wide applications in one-step and flexible photo-reduction of various metal ions to nanoparticles. Collectively, the novel fossil-like pollen grains and functional films pave the way for utilization of natural pollen for UV-responsive applications and provide a new insight for transporting the renewable biomass into photochromic and fluorogenic materials in the future.

To study the effect of glycolysis inhibitor 3-bromopyruvate (3-BrPA) in inducing apoptosis of human breast carcinoma cells SK-BR-3 and the possible mechanism.MTT assay was used to detect the growth inhibition induced by 3-BrPA in breast cancer cells SK-BR-3. The apoptotic cells were detected by flow cytometry with propidium iodide (PI). ATP levels in the cells were detected by ATP assay kit, and DHE fluorescent probe technique was used to determine superoxide anion levels; the mitochondrial membrane potential was assessed using JC-1 staining assay.MTT assay showed that the proliferation of SK-BR-3 cells was inhibited by 3-BrPA in a time- and concentration-dependent manner. Exposure to 80, 160, and 320 µmol·L(-1) 3-BrPA for 24 h resulted in cell apoptosis rates of 6.7%, 22.3%, and 79.6%, respectively, and the intracellular ATP levels of SK-BR-3 cells treated with 80, 160, 320 µmol·L(-1) 3-BrPA for 5 h were 87.7%, 60.6%, and 23.7% of the control levels. 3-BrPA at 160 µmol·L(-1) increased reactive oxygen levels and lowered mitochondrial membrane potential of SK-BR-3 cells.3-BrPA can inhibit cell proliferation, reduce the mitochondrial membrane potential and induce apoptosis in SK-BR-3 cells, the mechanism of which may involve a reduced ATP level by inhibiting glycolysis and increasing the reactive oxygen level in the cells.

Hexokinase II (HKII), a key enzyme of glycolysis, is widely over-expressed in cancer cells. 3-bromopyruvate (3-BrPA), an inhibitor of HK II, has been proposed as a specific antitumor agent. Autophagy is a process that regulates the balance between protein synthesis and protein degradation. Autophagy in mammalian systems occurs under basal conditions and can be stimulated by stresses, including starvation, oxidative stress. Therefore, we hypothesized that 3-BrPA could induce autophagy. In the present study, we explored the mechanism of 3-BrPA and its combined action with chloroquine. Our results demonstrate that in MDA-MB-435 and in MDA-MB-231 cells, 3-BrPA induces autophagy, which can be inhibited by chloroquine. Furthermore, the combined treatment synergistically decreased the number of viable cells. Interestingly, the combined treatment triggered apoptosis in MDA-MB-435 cells, while it induced necroptosis in MDA-MB-231 cells. ROS mediated cell death when 3-BrPA and CQ were co-administered. Finally, CQ enhanced the anticancer efficacy of 3-BrPA in vivo. Collectively, our results show that 3-BrPA triggers autophagy, increasing breast cancer cell resistance to 3-BrPA treatment and that CQ enhanced 3-BrPA-induced cell death in breast cancer cells by stimulating ROS formation. Thus, inhibition of autophagy may be an innovative strategy for adjuvant chemotherapy of breast cancer.human skeletal muscle. Efficient Mirk depletion in SU86.86 pancreatic cancer cells by an inducible shRNA decreased expression of eight antioxidant genes. Thus both cancer cells and differentiated myotubes utilize Mirk kinase to relieve oxidative stress.