DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification

In recent years, vehicle re-identification (Re-ID) has gained increasing importance in various applications such as assisted driving systems, traffic flow management, and vehicle tracking, due to the growth of intelligent transportation systems. However, the presence of extraneous background information and occlusions can interfere with the learning of discriminative features, leading to significant variations in the same vehicle image across different scenarios. This paper proposes a method, named graph network based on dynamic similarity adjacency matrices (DSAM-GN), which incorporates a novel approach for constructing adjacency matrices to capture spatial relationships of local features and reduce background noise. Specifically, the proposed method divides the extracted vehicle features into different patches as nodes within the graph network. A spatial attention-based similarity adjacency matrix generation (SASAMG) module is employed to compute similarity matrices of nodes, and a dynamic erasure operation is applied to disconnect nodes with low similarity, resulting in similarity adjacency matrices. Finally, the nodes and similarity adjacency matrices are fed into graph networks to extract more discriminative features for vehicle Re-ID. Experimental results on public datasets VeRi-776 and VehicleID demonstrate the effectiveness of the proposed method compared with recent works.Comment: This paper has been accepted by the 20th Pacific Rim International Conference on Artificial Intelligence in 202

Preparation and Characterization of Latex Particles as Potential Physical Shale Stabilizer in Water-Based Drilling Fluids

The poly(styrene-methyl methacrylate) latex particles as potential physical shale stabilizer were successfully synthesized with potassium persulfate as an initiator in isopropanol-water medium. The synthesized latex particles were characterized by Fourier transform infrared spectroscopy (FT-IR), particle size distribution measurement (PSD), transmission electron microscopy (TEM), and thermal gravimetric analysis (TGA). FT-IR and TGA analysis confirmed that the latex particles were prepared by polymerization of styrene and methyl methacrylate and maintained good thermal stability. TEM and PSD analysis indicated that the spherical latex particles possessed unimodal distribution from 80 nm to 345 nm with the D90 value of 276 nm. The factors influencing particle size distribution (PSD) of latex particles were also discussed in detail. The interaction between latex particles and natural shale cores was investigated quantitatively via pore pressure transmission tests. The results indicated that the latex particles as potential physical shale stabilizer could be deformable to bridge and seal the nanopores and microfractures of shale to reduce the shale permeability and prevent pore pressure transmission. What is more, the latex particles as potential physical shale stabilizer work synergistically with chemical shale stabilizer to impart superior shale stability

Multi-method joint monitoring study on strata behavior in shallow seam mining under bedrock gully

Abstract The Baijigou Coal Mine in Helan mountain mining area is alpine gully landform, and the double key stratums are cut by the gully. A two-dimensional physical similarity model under this condition was established in the laboratory. The strain field, deformation field and pressure field of the model are jointly and accurately monitored by BOTDA, DIC and pressure sensors. The rock behavior in shallow coal seam mining under bedrock gullies are studied. In the mining stage under the gully, the deformation of overburden is intense because overburden is thin, and the surface is easy to form a depression basin. In the mining stage far away from the gully, the deformed rock mass lacks horizontal support in the process of deflecting to the lower goaf, and the movement rock is in a multilateral block. The multilateral block rock periodically deflects and rotates, resulting in the periodic deformation and break of the inferior key stratum. At the mining stage of away from the gully, nine times of roof weighting occurred. And there are large and small periodic weighting phenomenon with the average roof pressure concentration coefficient is 1.37. The distance between the peak point of advance abutment pressure and the coal wall is 6–18 cm, and the influence distance decreases with the advancing of the working face. The inferior key stratum has a significant impact on the weighting process and the weighting strength. In the mining stage under the mountaintop, large downward inclined tension crack is prone to produce in the slope on the side of the stope line, and the roof weighting is the most severe. In the mining stage close to the gully, the overburden falls in layers from bottom to top, and the overburden at the slope toe is prone to slip. At the mining stage under the mountaintop and close to the gully, five times of roof weighting occurred. And the roof weighting concentration coefficient is 1.46 on average. The distance between the peak point of advance abutment pressure and the coal wall is always kept at 6–16 cm, and the influence distance is 33–41 cm. The study can provide a reference for mining design and ensures safe and efficient mining in this condition

Disruption of an Evolutionarily Novel Synaptic Expression Pattern in Autism

<div><p>Cognitive defects in autism spectrum disorder (ASD) include socialization and communication: key behavioral capacities that separate humans from other species. Here, we analyze gene expression in the prefrontal cortex of 63 autism patients and control individuals, as well as 62 chimpanzees and macaques, from natal to adult age. We show that among all aberrant expression changes seen in ASD brains, a single aberrant expression pattern overrepresented in genes involved synaptic-related pathways is enriched in nucleotide variants linked to autism. Furthermore, only this pattern contains an excess of developmental expression features unique to humans, thus resulting in the disruption of human-specific developmental programs in autism. Several members of the early growth response (EGR) transcription factor family can be implicated in regulation of this aberrant developmental change. Our study draws a connection between the genetic risk architecture of autism and molecular features of cortical development unique to humans.</p></div

Gene expression in PFC development in autism and control groups.

<p>(A) Transcriptional similarity among autism and control cases during PFC development, visualized using multidimensional scaling (MDS) with expression correlation as distance (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002558#pbio.1002558.s002" target="_blank">S2 Data</a>). Each circle represents an individual. The size of the circles is proportional to the individuals’ age (smaller circles correspond to younger individuals). The border colors represent different groups (black: autism cases, red: controls). The filled colors with different shades indicate the levels of cognitive decline for autistic individuals (darker purple correspond to more severe cases). The first dimension correlates with levels of cognitive decline (Pearson correlation, <i>r</i> = 0.42, <i>p</i> < 0.001) and the second with age (Pearson correlation, <i>r</i> = 0.73, <i>p</i> < 0.001). (B) Proportions of the total expression variation explained by disease status, age, sex, RNA quality, and sample batch across all 12,557 genes expressed in autism and control cases. (C) Distance between the expression trajectory of control group and autism cases with different levels of Autism Diagnostic Interview-Revised (ADI-R) scores. Darker shade of purple corresponds to higher ADI-R scores.</p

Developmental dynamics of gene expression changes in autistic brains.

<p>(A) Hierarchical clustering of 1,775 genes differently expressed between autism cases and unaffected controls (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002558#pbio.1002558.s003" target="_blank">S3 Data</a>). (B) Expression patterns of the six major gene clusters. The <i>x</i>-axis shows the age information on the (age)^1/4 scale; the <i>y</i>-axis shows the expression levels standardized to mean = 0 and standard deviation = 1 before plotting. The points represent mean expression levels in each individual (red: controls; black: autism cases); the lines show cubic spline curves fitted to the individual data; the shaded areas show the standard deviation of the spline curves within a cluster. The cluster number and the number of genes within the cluster are shown on top of the panels. (C) Summary of functional pathways enriched in each cluster (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002558#pbio.1002558.s028" target="_blank">S3 Table</a>). (D) Overlap between genes with 1–4 scores in SFARI AutDB linked to autism by genetic association studies and six major clusters of expression changes in autism (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1002558#pbio.1002558.s004" target="_blank">S4 Data</a>). The red bars show the numbers of overlapping genes; the streaked bars show the mean numbers of overlapping genes expected by chance, estimated by 1,000 permutations of cluster labels. The symbols above the bars show the significance based on 1,000 permutations of cluster labels (**: <i>p</i> < 0.01).</p