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In recent years, progress in improving the bias stability of NMR gyroscopes has been hindered. Taking inspiration from the core idea of rotation modulation in the strapdown inertial navigation system, we propose a general approach to enhancing the bias stability of NMR gyroscopes that does not require consideration of the actual physical sources. The method operates on the fact that the sign of the bias does not follow that of the sensing direction of the NMR gyroscope, which is much easier to modulate than with other types of gyroscopes. We conducted simulations to validate the method's feasibility.

Additional file 1: Scheme S1. Schematic elastration of ROS production mechanism. Figure S1. A, B and C The comparison of standard and extracted Chlorophyll (Chl) and confirm the loading Chl on V2C. Scheme S1: The ROS production mechanism scheme. Figure S2. Zeta potential analysis. Figure S3. A, B and C: The EDX analysis. Figure S4. A, B and C: Loading efficiency of of chlorophyll (Chl) on V2C SNs. (B) temperature increasing (Chl) and (C) oxygen generation measurement with various loading concentration of Chl. Figure S5. A, B: To measure the photothermal conversion efficiency of Chl/V2C NSs. Figure S6. Cell viabilities performance of Chl/V2C for different cell lines. Figure S7. A, B: The intracellular and hypoxia quantification analysis of Chl/V2C. Figure S8. A, B: Biodistribution and) Blood circulation of Mg concentrations measured. Figure S9. Hypoxia analysis of tumours untreated and treated with Chl/V2C SNs. Figure S10. Statistical analysis Ki-67 A and B TUNEL assessment of all the tumors.

Sonodynamic therapy (SDT) has attracted much attention since it can break the depth-penetration barrier of phototriggered therapeutic strategies. However, developing sonosensitizers with a high rea...

As an important part in the field, the natural scene text detection has been widely applied in visual navigation system, content-based image and video retrieval, instant translation system and so on. In this paper, we introduce several object detection network based on deep learning, and apply the YOLO v2 into natural scene text detection, changing the multi objects detection problems into the two classification problems. The main works in the paper include the following: prepare the datasets; we train the YOLO v2 with the optimum parameters, carry out the regression analysis of the coordinate parameters and categories of bounding boxes, obtain the detection result; according to different detection models, the detection results of different datasets are compared and analyzed, YOLO V2 model detection speed 0.105s/image has certain advantages.

Binocular stereo vision belongs to the reconstruction technology of images. It has the characteristics of non-contact measurement and easy implementation. It has broad application prospects in many fields. The study of its basic theory also has great theoretical and practical significance. As part of stereo vision, robot binocular distance measurement has an irreplaceable role. In this paper, a complete binocular ranging system is divided into the following five steps: principle analysis, camera calibration, image preprocessing, SIFT feature point extraction, distance measurement, a simple model in robot binocular ranging is realized, which is a robot Route planning and obstacle avoidance provide data support, which has the advantages of easy operation and simple calculation.

With the wide application of ionic liquids (ILs) in various fields, developing efficient techniques to recover ILs from effluent is an urgent demand for the cost reduction and the environmental protection. In this study, an electrodialysis (ED) method was used to recover 1-butyl-3-methylimidazolium chloride ([Bmim]Cl) IL from aqueous solution as model effluent. The influences of initial IL concentration and applied voltage on the current efficiency, removal ratio, desalination ratio, membrane flux and specific energy consumption during the ED process were investigated. It was found that the removal ratio and desalination ratio increases with the increasing of initial IL concentration and applied voltage. The current efficiency decreases with the increasing of initial IL concentration and the current efficiency reached the maximum value of 94.3% at 25 V. Besides, as the applied voltage increases, the membrane flux increases and the specific energy consumption decreases. Moreover, the fouling of cation-exchange membrane was also discovered after the desalination of IL. The deposits on the surface or into the membrane which is probably caused by [Bmim](+) was characterized by scanning electron microscopy, elemental analysis and Fourier transform infrared.

There are two kinds of atomic vapor cell gyroscopes, one is nuclear-magnetic-resonance (NMR) gyroscope and the other is spin-exchange-relaxation-free (SERF) gyroscope. We demonstrate that there is a common model for these two kinds of gyroscope. The output signals of NMR and SERF gyroscopes are compared directly, which provides an important guidance for the scheme choosing and optimization of atomic gyroscope. Although this expose of the equivalence cannot solve the current problems of atomic gyroscopes, such as the narrow response bandwidth of SERF gyroscope and the drift due to the different Fermi-contact interaction coefficient in NMR gyroscope, it provides a simple understanding of atomic gyroscopes and may inspire new schemes combining advantages of both NMR and SERF gyroscopes.

Distributed compressive video sensing (DCVS) is a new emerging video codec that incorporates advantages of distributed video coding (DVC) and compressive sensing (CS). However, due to the absence of a good sparse basis, the DCVS does not achieve ideal compressing efficiency compared with the traditional video codec, such as MPEG-4, H.264, etc. This paper proposes a new hybrid sparse basis, which combines the image-block prediction and DCT basis. Adaptive block-based prediction is employed to learn block-prediction basis by exploiting temporal correlation among successive frames. Based on linear DCT basis and predicted basis, the hybrid sparse basis can achieve sparser representation with lower complexity. The experiment results indicate that the proposal outperforms the state-of-the-art DCVS schemes on both visual quality and average PSNR. In addition, an iterative fashion proposed in the decoder can enhance the sparsity of the hybrid sparse basis and improve the rate-distortion performance significantly.

The spin-exchange relaxation-free (SERF) atomic magnetometer is one of the ultra-sensitive magnetometers, which must be operated in a low magnetic field and heated more than 100°C. One of the main engineering difficulties in fabricating a SERF atomic magnetometer is to develop a heater that introduces no additional magnetic noise into the measurement system. In this paper, a novel compact current-heating scheme and apparatus for the SERF atomic magnetometer are proposed. The thermal and magnetic simulations of this apparatus are carried out and the results of the simulations demonstrate the feasibility of this heating apparatus: the vapor cell can be heated to a temperature of 103°C and magnetic field introduced in the magnetometer can be limited in 10nT.

We are developing a new detection scheme for magnetometers based on atomic vapor confined in millimeter-scale micromachined enclosures and atomic Zeeman transitions. By adding three micro-reflective mirrors and modifying the light path arrangement, the new detection scheme effectively hurdles the main obstacle which prevents SERF from being applied in chip scale sensors, i.e. the difficulty to implement the transverse laser fields using MEMS fabrication methods. Instead of guiding the pumping laser beam parallel to the wafer plates that is not compatible with MEMS fabrication, such scheme rotates both pumping and probing laser beams, and maintains the orthogonal relationship between them. Finally, several fabrication process suited for this scheme are discussed.