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Background Osteoporosis (OP) is a common metabolic bone disease mainly involving bone remodeling and blood vessels. The current study aimed to explore the role of zinc finger E-box binding homeobox 1 (ZEB1) in OP. Methods First, gene expression microarrays for OP were downloaded from the Gene Expression Omnibus database and analyzed to screen for potential targets. Subsequently, a rat OP model was constructed using ovariectomy (OVX), and osteoblastic and osteoclastic differentiation and alterations in osteoporotic symptoms were observed upon intraperitoneal injection of oe-ZEB1 lentiviral vectors. DNA polymerase delta interacting protein 2 (POLDIP2) was predicted to be a downstream target of ZEB1, which was validated by ChIP-qPCR and dual-luciferase experiments. RAW264.7 cells were subjected to lentiviral vector infection of oe-ZEB1 and/or sh-POLDIP2, followed by RANKL treatment to induce osteoclast differentiation. Results ZEB1 was poorly expressed in blood samples of postmenopausal patients with OP and in bone tissues of OVX-treated rats. Overexpression of ZEB1 or POLDIP2 in OVX rats promoted osteoblastogenesis and inhibited osteoclast differentiation. In RANKL-treated RAW264.7 cells, the transcription factor ZEB1 enhanced the expression of POLDIP2, and silencing of POLDIP2 attenuated the inhibitory effect of oe-ZEB1 on the differentiation of macrophages RAW264.7 to osteoclasts. Conclusions ZEB1 promotes osteoblastogenesis and represses osteoclast differentiation, ultimately reducing the occurrence of postmenopausal OP by elevating the expression of POLDIP2.

When calibrating a microscopic fringe projection profile system with a telecentric camera, the orthogonality of the camera causes an ambiguity in the positive and negative signs of its external parameters. A common solution is to introduce additional constraints, which often increase the level of complexity and the calibration cost. Another solution is to abandon the internal/external parameter models derived from the physical imaging process and obtain a numerically optimal projection matrix through the least squares solution. This paper proposes a novel calibration method, which derives a telecentric epipolar constraint model from the conventional epipolar constraint relationship and uses this constraint relationship to complete the stereo calibration of the system. On the one hand, since only the camera’s intrinsic parameters are needed, there is no need to introduce additional constraints. On the other hand, the solution is optimized based on the full consideration of the imaging model to make the parameters confirm to the physical model. Our experiments proved the feasibility and accuracy of the method.

An accurate understanding of the structure of spatial correlation networks of land use carbon emissions (LUCEs) and carbon balance zoning plays a guiding role in promoting regional emission reductions and achieving high-quality coordinated development. In this study, 42 counties in the Tarim River Basin from 2002 to 2022 were chosen as samples (Corps cities were excluded due to missing statistics). The LUCE spatial correlation network characteristics and carbon balance zoning were analyzed by using the Ecological Support Coefficient (ESC), Social Network Analysis (SNA), and Spatial Clustering Data Analysis (SCDA), and a targeted optimization strategy was proposed for each zone. The results of the study indicate the following: (1) The LUCEs showed an overall upward trend, but the increase in LUCEs gradually slowed down, presenting a spatial characteristic of “high in the mid-north and low at the edges”. In addition, the ESC showed an overall decreasing trend, with a spatial characteristic opposite to that of the LUCEs. (2) With an increasingly close spatial LUCE correlation network in the Tarim River Basin, the network structure presented better accessibility and stability, but the individual network characteristics differed significantly. Aksu City, Korla City, Bachu County, Shache County, Hotan City, and Kuqa City, which were at the center of the network, displayed a remarkable ability to control and master the network correlation. (3) Based on the carbon balance analysis, the counties were subdivided into six carbon balance functional zones and targeted synergistic emission reduction strategies were proposed for each zone to promote fair and efficient low-carbon transformational development among the regions.

Revealing the relationship between intensive land use (ILU) and land ecological security (LES) is crucial for achieving high-quality land resource development and ensuring the sustainability of land ecosystems, especially in arid regions with fragile human–land relationships. In this study, we evaluated ILU and LES in the urban agglomeration on the northern slope of the Tianshan Mountains (UANSTM) and analyzed the evolution of ILU and LES using Pearson correlation analysis, four-quadrant model, and coupling coordination degree model. The results indicated that from 2012 to 2022, ILU and its three subsystems generally showed an upward trend in the UANSTM, with an average annual growth rate of 2.96%, 2.50%, 3.32%, and 0.289%, respectively, and with ILU levels significantly higher in the eastern and central counties compared to other areas. LES and its three subsystems also exhibited a general increase, with average annual growth rates of 1.63%, 0.86%, 3.10%, and 1.51%, respectively, although high-level areas displayed distinct spatial variations. The Pearson correlation analysis showed that the land input level had a significant negative effect on the pressure, but the positive effects of state and response enhanced the LES. The number of double-high cities increased significantly from 1 to 6, and the number of double-low cities decreased from 6 to 0. Compared with other cities and counties, the LES-lagging counties and cities faced the challenge of coordinating urban development and ecological conservation. While coupling coordination levels across all counties improved to varying degrees, none reached the optimal coordination stage. The findings and methodologies of this study provide helpful insights into human–land relationships in arid regions, supporting the goals of high-quality urban development and sustainability.

Studying the regulatory mechanisms in different tissues of pepper is crucial for understanding organ formation, growth, and development. However, relevant studies are far from sufficient. In the current study, the stipe, calyx, pericarp, placenta, and seed of ripe pepper were sampled, and metabolites were determined by the untargeted metabolomics method. Transcriptome sequencing was performed by Illumina NovaSeq 6000, and then a high-throughput data set was built. The results showed that a total of 4879 annotated metabolites were detected in 15 samples of the five tissues under positive and negative ion mode. A total of 110.66 Gb of clean data was obtained by transcriptome sequencing, the clean data of each sample reached 6.21 Gb, and a total of 35 336 annotated expression genes were obtained. Furthermore, validate the accuracy of the data by combining principal component analysis and other methods. In summary, this study provides valuable information for the genetic improvement and breeding of peppers, and it holds potential application value, particularly in enhancing the quality and nutritional value of pepper fruits.

The OpenFlow protocol match field capacity is fixed and limited, and packet forwarding in software-defined network lacks valid authentication of data source, integrity verification, and confidentiality protection mechanism. OpenFlow only supports the MPLS label tunnel establishment, and therefore cannot establish a secure tunnel flexibly. In order to solve these problems, we propose P4Sec, a novel software-defined network packet security tunnel forwarding mechanism. As P4 allows the data plane to be reprogrammed to realize the characteristics of packet forwarding, we build a software-defined network security tunnel to prevent data malicious tampering, stealing, forgery and other malicious network behavior, implementing packet routing and forwarding based on gateway identity. Finally, we construct a P4Sec prototype system based on the software switch BMv2, verify the effectiveness of the mechanism through experimental analysis, and evaluate the overhead of the mechanism. The results demonstrate that P4Sec security mechanism ensure the authenticity, integrity, and confidentiality of forwarded data, and realize the secure forwarding requirements of data packets in software-defined network.

We designed a novel molecular biosensing system for the detection of biotin, an important vitamin by the combination of fluorescent unnatural streptavidin with a commercialized biotin-(AC5)2-hydrazide. A fluorescent unnatural amino acid, BODIPY-FL-aminophenylalanine (BFLAF), was position-specifically incorporated into Trp120 of streptavidin by four-base codon method. Fluorescence of the Trp120BFLAF mutant streptavidin was enhanced by the addition of biotin-(AC5)2-hydrazide with the concentration dependent, whereas fluorescence enhancement was not observed at all by the addition of natural biotin. It was considered that the spacer tail of biotin-(AC5)2-hydrazide may disturb the fluorescence quenching of the Trp120BFLAF by Trp79 and Trp108 of the neighbor subunit. Therefore, biotin sensing was carried out by the competitive binding reaction of biotin-(AC5)2-hydrazide and natural biotin to the fluorescent mutant streptavidin. The fluorescence intensity decreased by increasing free biotin concentration. The result suggested that molecular biosensor for small ligand could be successfully designed by the pair of fluorescent mutant binding protein and ligand analogue.

Visceral hypersensitivity is one of the most common symptoms in patients with post-inflammatory-irritable bowel syndrome (PI-IBS). Enterochromaffin (EC) cells and 5-hydroxytryptamine (5-HT) are important in the development of visceral hyperalgesia, and EC cells are influenced by helper T-cell subtype 1 or 2 cytokine predominant environments. In the present study, the analgesic effect of cynaropicrin and its underlying mechanism on the treatment of trinitrobenzene sulfonic (TNBS)-induced PI-IBS visceral hyperalgesia rats was investigated. The results from the abdominal withdrawal reflex tests and electromyography recordings indicated that treatment with cynaropicrin significantly and dose-dependently alleviated the visceral hyperalgesia of PI-IBS rats (P<0.05). In addition, the increased colonic 5-HT content, colonic tryptophan hydroxylase expression, EC cell number and the cytokine levels, including tumor necrosis factor-α and interleukin-6 in PI-IBS rats were significantly alleviated by cynaropicrin (P<0.05). These data demonstrate that the analgesic activity of cynaropicrin on TNBS-induced PI-IBS visceral hypersensitive rats was mediated via reduction of cytokines levels. Thus, cynaropicrin as a bioactive natural product may offer promising therapeutic avenues for visceral hypersensitivity in IBS.

Vision navigation based on scene matching between real-time images and a reference image has many advantages over the commonly used inertial navigation system （INS）, such as no cumulative measurement errors for long-endurance flight. Recent developments in vision navigation are mainly used for partial navigation parameters measurements, such as the position and the relative velocity, which cannot meet the requirements of completely autonomous navigation. We present the concept, principle and method of full-parameter vision navigation （FPVN） based on scene matching. The proposed method can obtain the three-dimensional （3D） position and attitude angles of an aircraft by the scene matching for multiple feature points instead of a single point in existing vision navigations. Thus, FPVN can achieve the geodetic position coordinates and attitude angles of the aircraft and then the velocity vector, attitude angular velocity and acceleration can be derived by the time differentials, which provide a full set of navigation parameters for aircrafts and unmanned aerial vehicles （UAVs）. The method can be combined with the INS and the cumulative errors of the INS can be corrected using the measurements of FPVN rather than satellite navigation systems. The approach provides a completely autonomous and accurate navigation method for long-endurance flight without the help of satellites.

The moving target defense achieves the effect of defending against network attacks by constantly changing the attack surface. IP hopping defense is a typical representative of network layer moving target defense technology. It has been verified to show considerable defense effect against DDoS attacks and scanning attacks. Aiming at the problems that the system resource overhead of the existing IP hopping defense technology is too large, an agile IP hopping defense technology based on compressed neural network is proposed in this paper. A convolutional neural network (CNN) is deployed to sense the attack. In the training, the CNN uses techniques of clipping and quantizing to make the trained model show low storage occupation and high processing efficiency. The lightweight CNN determines the current attack situation according to the flow table data uploaded regularly by each switch in the data plane. Then configure and trigger two different levels of IP hopping according to the judgment results. Experimental results show that compared with the current typical IP hopping defense methods, the proposed method can significantly reduce the system overhead, including storage occupation, channel occupation and so on. In terms of security, the performance of the proposed method is equivalent to the existing state-of-art method against DDoS attacks and scanning attacks.