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An essential task for 3D visual world understanding is 3D object detection in lidar point clouds. To predict directly bounding box parameters from point clouds, existing voting-based methods use Hough voting to obtain the centroid of each object. However, it may be difficult for the inaccurately voted centers to regress boxes accurately, leading to the generation of redundant bounding boxes. For objects in indoor scenes, there are several co-occurrence patterns for objects in indoor scenes. Concurrently, semantic relations between object layouts and scenes can be used as prior context to guide object detection. We propose a simple, yet effective network, RSFF-Net, which adds refined voting and scene feature fusion for indoor 3D object detection. The RSFF-Net consists of three modules: geometric function, refined voting, and scene constraint. First, a geometric function module is used to capture the geometric features of the nearest object of the voted points. Then, the coarse votes are revoted by a refined voting module, which is based on the fused feature between the coarse votes and geometric features. Finally, a scene constraint module is used to add the association information between candidate objects and scenes. RSFF-Net achieves competitive results on indoor 3D object detection benchmarks: ScanNet V2 and SUN RGB-D.

Spinal cord injury (SCI) can lead to varying degrees of sensory and motor dysfunction. Salvianolic acid B (Sal-B) is the dominating bioactive constituent of Danshen, which has been reported to alleviate liver fibrosis and exert neuroprotective effects. But, the influence of Sal-B in SCI remains mysterious. The research planned to delve the protective function of Sal-B in hydrogen peroxide (H

The visual signal processing mechanism of humans and mammals is precise and complex, better than most current machine vision systems. Visual illusion can show the cognitive functions and mechanisms of the visual system from a unique perspective which are of great significance to the development of computer vision. Firstly, the Gabor filter perfectly simulates the direction and spatial frequency selectivity of the visual cortex cells, thus successfully explaining why the Einstein-Monroe picture has two interpretations when viewing distance is changed and verifying the multi-scale characteristics of the visual neural network. Secondly, by means of nonlinear dynamics, the visual neural dynamics system based on the multi-scale background environment is established to reproduce optical illusions like Herman grid illusion. By understanding the mechanism of visual illusion, it can provide convenient experimental means for realizing the multi-modal information integration of multi-scale neural network and theoretical research of memory fusion model.

IntroductionOsteoblasts and osteoclasts are cells of osteoblastic origin, and are vital in homeostasis of the skeleton. miRs are important for functioning, survival and differentiation of osteoclasts. It has been reported previously that miR-23b-3p is involved in osteoporosis and in regulation of differentiation of osteoblasts. It is also involved in the process of bone formation. However, the role of miR-23b-3p in differentiation of osteoclasts remains unexplored.Material and methodsCSF-1 and ODF induced osteoclasts were used for the study. RNA isolation was done from TIB-71 cells. TRAP staining was done for TRAP-positive osteoclast formation. PIT assay for bone resorption was performed. For in vivo studies osteoclast-specific miR-23b-3p transgenic mice were developed.ResultsThe levels of miR-23b-3p were upregulated in bone marrow monocytes during osteoclastogenesis with colony stimulating factor-1 and osteoclast differentiation factor induction, which suggests that miR-23b-3p plays a crucial role in differentiation of osteoclasts. Over-expression of miR-23b-3p in bone marrow monocytes leads to osteoclastogenesis, whereas the inhibition ameliorates it. We further studied the function of miR-23b-3p via PI3K/AKT targeting the PTEN pathway. In vivo, osteoclast-specific miR-23b-3p transgenic mice showed suppressed PTEN and elevated osteoclast activity, and the mice showed decreased bone mineral density.ConclusionsThe results suggest that miR-23b-3p regulates the differentiation of osteoclasts by targeting PTEN through the PI3K/AKT cascade.

This paper deals with the cryptographic performance of Rijndael and RC6 algorithms in real environment. The cryptographic performance of Rijndael and RC6 algorithms is evaluated from the diffusion, confusion, and space-time complexity of them. The diffusion and confusion of them are quantitatively measured by using the avalanche effect and runs test. The time performance metrics are encryption and decryption speeds while space performance metric is memory utilization. The experimental results show that both Rijndael and RC6 have good avalanche properties for the plaintext and key. They are very close to the SAC (Strict Avalanche Criterion). The cipher texts of Rijndael and RC6 have good randomness and unpredictability from the results of runs test. However, the encryption speed of RC6 algorithm is much faster than that of Rijndael algorithm in the same experimental conditions, and is independent of the key length. The encryption and decryption speed of Rijndael are asymmetric although Rijndael algorithm is a symmetric block cipher. Meanwhile, RC6 needs more CPU and memory resources than Rijndael algorithm. So the use of RC6 is beneficial where high encryption speed is required while Rijndael is beneficial where memory resource is key concern.

Nowadays, LTE (Long Term Evolution) is widely used. The MAC layer plays an important role in the quality of LTE transmission. Spectrum efficiency, frame loss rate, throughput and delay are selected as the primary evaluation criterion of the performance of LTE system. This paper deals with the performance of MAC layer in the LTE networks. The system-level performance analysis of MAC layer is conducted through the Network Simulator 3. An orthogonal experimental design is adopted to evaluate the effect of various key factors on the MAC performance of LTE network. These factors mainly include the bandwidth, MAC layer scheduling algorithm, customer density, partial OFDM algorithm and other factors. We also look for a reasonable LTE communication scheme for different conditions to make sure that the system has good performance such as a higher throughput, a smaller end-to-end delay, a smaller delay jitter and a lower frame loss rate.

A novel blind image watermarking scheme based on chaotic mixtures is proposed in the paper. The black and white watermark image is firstly scrambled by the use of logistic maps and then embedded into the second-level approximation coefficients of host image in the domain of discrete wavelet transform. Experimental results demonstrate that the proposed scheme exhibits very good properties including imperceptibility, robustness and security against conventional image processing and geometrical attacks such as JPEG compression, low-pass filtering, median filtering, Gaussian noise, scaling, rotating, cropping and translation. Experimental results also show superiority of the proposed scheme over existing algorithms with a similar approach. The proposed scheme provides a new viable option for copyright protection of digital multimedia.

Password authentication is one of the most convenient and frequently used mechanisms to provide secure remote access control. In this paper, a pairing-based password authentication scheme which draws on the experience of two previous researches is proposed, and the detailed authentication phases which utilise the good properties of bilinear pairing are illustrated. Meanwhile, strict cryptanalysis is made to clarify the good security and functionality features of the proposed scheme in defending various attacks. Besides that, some flaws of a previous scheme are analysed and theoretical comparison of the computation cost with that scheme is made. Furthermore, experiments are conducted properly and the results are shown to explain the high efficiency of the proposed scheme.