Coverage Hole Recovery Algorithm Based on Molecule Model in Heterogeneous WSNs

In diverse application fields, the increasing requisitions of Wireless Sensor Networks (WSNs) have more and more research dedicated to the question of sensor nodes’ deployment in recent years. For deployment of sensor nodes, some key points that should be taken into consideration are the coverage area to be monitored, energy consumed of nodes, connectivity, amount of deployed sensors and lifetime of the WSNs. This paper analyzes the wireless sensor network nodes deployment optimization problem. Wireless sensor nodes deployment determines the nodes’ capability and lifetime. For node deployment in heterogeneous sensor networks based on different probability sensing models of heterogeneous nodes, the author refers to the organic small molecule model and proposes a molecule sensing model of heterogeneous nodes in this paper. DSmT is an extension of the classical theory of evidence, which can combine with any type of trust function of an independent source, mainly concentrating on combined uncertainty, high conflict, and inaccurate source of evidence. Referring to the data fusion model, the changes in the network coverage ratio after using the new sensing model and data fusion algorithm are studied. According to the research results, the nodes deployment scheme of heterogeneous sensor networks based on the organic small molecule model is proposed in this paper. The simulation model is established by MATLAB software. The simulation results show that the effectiveness of the algorithm, the network coverage, and detection efficiency of nodes are improved, the lifetime of the network is prolonged, energy consumption and the number of deployment nodes are reduced, and the scope of perceiving is expanded. As a result, the coverage hole recovery algorithm can improve the detection performance of the network in the initial deployment phase and coverage hole recovery phase

Improved Ultrasonic CT Imaging Algorithm of Concrete Structures Based on Simulated Annealing

In ultrasonic testing of concrete structure quality, in order to obtain an accurate evaluation to concrete quality, the high imaging accuracy is needed. Because of the non-uniformity of concrete structure, classic algorithm is difficult to meet the requirement of high accuracy tomography computation, and even disabled result will be obtained. An improved simulated annealing (SA) algorithm based on chaos search and natural weight function is presented. Firstly, curve ray tracing method is applied to determine the final propagation path, and then chaos search and natural weight function are introduced to modify the path and improve the accuracy of simulated annealing-backfire algorithm, and the CT image of structure is calculated and obtained by the algorithm. It is shown from numerical simulation that the improved algorithm is more effective and accurate, and imaging resolution is improved obviously

Table1_A Comprehensive Analysis of HAVCR1 as a Prognostic and Diagnostic Marker for Pan-Cancer.DOCX

Hepatitis A virus cellular receptor (HAVCR1) is a type-1 integral membrane glycoprotein that plays a key role in immunity and renal regeneration and is abnormally expressed in various tumor types. Nonetheless, the function of HAVCR1 in pan-cancer remains unknown. In this study, we comprehensively analyzed the expression and promoter methylation level of HAVCR1 and assessed the immune cell infiltration, correlation between stromal and immune cell admixture, CD (Cluster of Differentiation) and HAVCR1 expression and prognostic value of HAVCR1 mRNA expression in Liver hepatocellular carcinoma (LIHC) and Pancreatic adenocarcinoma (PAAD). Our results showed that HAVCR1 was overexpressed while the promoter methylation of HAVCR1 was decreased in Liver hepatocellular carcinoma and Pancreatic adenocarcinoma. HAVCR1 was associated with increased infiltration of B cells, CD8 cells, macrophages, neutrophils and Dendritic cells in Liver hepatocellular carcinoma and Pancreatic adenocarcinoma. HAVCR1 expression was positively correlated with the immune, stromal and estimate scores of Pancreatic adenocarcinoma and the stromal and estimate scores of Liver hepatocellular carcinoma. Furthermore, HAVCR1 expression was correlated with other immune molecules such as HHLA2 (Human endogenous retrovirus-H long terminal repeat-associating protein 2), CD44 and TNFRSF4 (TNF Receptor Superfamily Member 4) in Liver hepatocellular carcinoma and Pancreatic adenocarcinoma. During Kaplan-Meier analysis, high HAVCR1 expression in Liver hepatocellular carcinoma and Pancreatic adenocarcinoma correlated with poor survival. A marginally significant p-value (p = 0.051) was obtained when the relationship between HAVCR1 expression in Liver hepatocellular carcinoma and prognosis was analyzed, attributed to the small sample size. Overall, we provided compelling evidence that HAVCR1 could be a prognostic and diagnostic marker for Liver hepatocellular carcinoma and Pancreatic adenocarcinoma.</p

Plastid phylogenomics resolves infrafamilial relationships of the Styracaceae and sheds light on the backbone relationships of the Ericales

Relationships among the genera of the small, woody family Styracaceae and among families of the large, diverse order Ericales have resisted complete resolution with sequences from one or a few genes. We used plastome sequencing to attempt to resolve the backbone relationships of Styracaceae and Ericales and to explore plastome structural evolution. Complete plastomes for 23 species are newly reported here, including 18 taxa of Styracaceae and five of Ericales (including species of Sapotaceae, Clethraceae, Symplocaceae, and Diapensiaceae). Combined with publicly available complete plastome data, this resulted in a data set of 60 plastomes, including 11 of the 12 genera of Styracaceae and 12 of 22 families of Ericales. Styracaceae plastomes were found to possess the quadripartite structure typical of angiosperms, with sizes ranging from 155 to 159 kb. Most of the plastomes were found to possess the full complement of typical angiosperm plastome genes. Unusual structural features were detected in plastomes of Alniphyllum and Bruinsmia, including the presence of a large 20-kb inversion (14 genes) in the Large Single-Copy region, the loss or pseudogenization of the clpP and accD genes in Bruinsmia, and the loss of the first exon of rps16 in B. styracoides. Likewise, the second intron from clpP was found to be lost in Alniphyllum and Huodendron. Phylogenomic analyses including all 79 plastid protein-coding genes provided improved resolution for relationships among the genera of Styracaceae and families of Ericales. Styracaceae was strongly supported as monophyletic, with Styrax, Huodendron, and a clade of Alniphyllum + Bruinsmia successively sister to the remainder of the family, all with strong support. All genera of Styracaceae were recovered as monophyletic, except for Halesia and Pterostyrax, which were each recovered as polyphyletic with strong support. Within Ericales, all families were recovered as monophyletic with strong support, with Balsaminaceae sister to remaining Ericales. Most relationships recovered in plastome analyses are congruent with previous analyses based on smaller data sets. Our results demonstrate the power of plastid phylogenomics to improve phylogenetic hypotheses among genera and families, and provide new insight into plastome evolution across Ericales

Synthesis of porous, hollow metal MCO3 (M=Mn, Co, Ca) microstructures and adsorption properties thereof

Porous, hollow metal carbonate microstructures show many unique properties, and are attractive for various applications. Herein, we report the first demonstration of a general strategy to synthesize hollow metal carbonate structures, including porous MnCO3 hollow cubics, porous CoCO3 hollow rhombuses and porous CaCO3 hollow capsules. For example, the porous, hollow MnCO3 microcubes show larger Brunauer–Emmett–Teller (BET) surface areas of 359.5 m2 g−1, which is much larger than that of solid MnCO3 microcubics (i.e., 12.03 m2 g−1). As a proof of concept, these porous MnCO3 hollow microcubes were applied to water treatment and exhibited an excellent ability to remove organic pollutants in waste water owing to their hollow structure and large specific surface area

A parabrachial-hypothalamic parallel circuit governs cold defense in mice

Abstract Thermal homeostasis is vital for mammals and is controlled by brain neurocircuits. Yet, the neural pathways responsible for cold defense regulation are still unclear. Here, we found that a pathway from the lateral parabrachial nucleus (LPB) to the dorsomedial hypothalamus (DMH), which runs parallel to the canonical LPB to preoptic area (POA) pathway, is also crucial for cold defense. Together, these pathways make an equivalent and cumulative contribution, forming a parallel circuit. Specifically, activation of the LPB → DMH pathway induced strong cold-defense responses, including increases in thermogenesis of brown adipose tissue (BAT), muscle shivering, heart rate, and locomotion. Further, we identified somatostatin neurons in the LPB that target DMH to promote BAT thermogenesis. Therefore, we reveal a parallel circuit governing cold defense in mice, which enables resilience to hypothermia and provides a scalable and robust network in heat production, reshaping our understanding of neural circuit regulation of homeostatic behaviors