Escape-Route Planning of Underground Coal Mine Based on Improved Ant Algorithm

When a mine disaster occurs, to lessen disaster losses and improve survival chances of the trapped miners, good escape routes need to be found and used. Based on the improved ant algorithm, we proposed a new escape-route planning method of underground mines. At first, six factors which influence escape difficulty are evaluated and a weight calculation model is built to form a weighted graph of the underground tunnels. Then an improved ant algorithm is designed and used to find good escape routes. We proposed a tunnel network zoning method to improve the searching efficiency of the ant algorithm. We use max-min ant system method to optimize the meeting strategy of ants and improve the performance of the ant algorithm. In addition, when a small part of the mine tunnel network changes, the system may fix the optimal routes and avoid starting a new processing procedure. Experiments show that the proposed method can find good escape routes efficiently and can be used in the escape-route planning of large and medium underground coal mines

The Influencing Path of Public Engaging Intention in the Value Co-Creation of E-Gov Services：An Empirical Investigation

The wide acceptability of ICTs and social media enriches the delivery platform of e-gov services (EGS). EGS is an important interaction and collaboration channel between the government and the public. The public can conveniently and timely explore problems, provide ideas, and design solutions to improve EGS. The roles of the public changed to active, informed partners or co- creators of EGS innovation and problem solving. This study builds the influence factor model on public engaging intention of value co-creation for EGS based on technology acceptance theory, trust theory, and motivation theory to explore impact factors and impact paths. Path analysis interpreted how the public would accept and adopt value co-creation behavior for EGS. This study also introduced a comprehensive picture of the new paradigm of public service value creation in an era of increasing user dominance, that is, the public

An Inhomogeneous Cell-Based Smoothed Finite Element Method for Free Vibration Calculation of Functionally Graded Magnetoelectroelastic Structures

To overcome the overstiffness and imprecise magnetoelectroelastic coupling effects of finite element method (FEM), we present an inhomogeneous cell-based smoothed FEM (ICS-FEM) of functionally graded magnetoelectroelastic (FGMEE) structures. Then the ICS-FEM formulations for free vibration calculation of FGMEE structures were deduced. In FGMEE structures, the true parameters at the Gaussian integration point were adopted directly to replace the homogenization in an element. The ICS-FEM provides a continuous system with a close-to-exact stiffness, which could be automatically and more easily generated for complicated domains, thus significantly decreasing the numerical error. To verify the accuracy and trustworthiness of ICS-FEM, we investigated several numerical examples and found that ICS-FEM simulated more accurately than the standard FEM. Also the effects of various equivalent stiffness matrices and the gradient function on the inherent frequency of FGMEE beams were studied

Scene Prior Filtering for Depth Map Super-Resolution

Multi-modal fusion is vital to the success of super-resolution of depth maps. However, commonly used fusion strategies, such as addition and concatenation, fall short of effectively bridging the modal gap. As a result, guided image filtering methods have been introduced to mitigate this issue. Nevertheless, it is observed that their filter kernels usually encounter significant texture interference and edge inaccuracy. To tackle these two challenges, we introduce a Scene Prior Filtering network, SPFNet, which utilizes the priors surface normal and semantic map from large-scale models. Specifically, we design an All-in-one Prior Propagation that computes the similarity between multi-modal scene priors, i.e., RGB, normal, semantic, and depth, to reduce the texture interference. In addition, we present a One-to-one Prior Embedding that continuously embeds each single-modal prior into depth using Mutual Guided Filtering, further alleviating the texture interference while enhancing edges. Our SPFNet has been extensively evaluated on both real and synthetic datasets, achieving state-of-the-art performance.Comment: 14 page

Thinking on the technology of Electronic Engineering Automation

The main characteristic of computer automation technology is its computer function. Then it is combined with computer aided design, computer aided manufacturing, computer aided manufacturing and so on, so as to form today's electronic computer. It combines computer information technology, circuit theory, information analysis and so on, so as to enhance the performance and efficiency of the computer. This article mainly analyzes the present situation of electronic engineering automation technology, discusses the importance of electronic engineering automation technology, and its application field and the future development prospect, so as to initiate some related thinking and put forward some personal suggestions. For your reference

Efficacy and safety of lenvatinib plus pembrolizumab in patients with advanced and recurrent endometrial cancer: a systematic review and meta-analysis

BackgroundVarious trials have demonstrated the clinical benefits of lenvatinib plus pembrolizumab in patients with advanced or recurrent endometrial cancer, regardless of mismatch repair (MMR) status or histologic subtype. The majority of the previously published trials had small sample sizes. Here, we aimed to assess the reported efficacy and safety profile of lenvatinib plus pembrolizumab in patients with advanced and recurrent endometrial cancer.MethodsWe utilized the Cochrane Library, PubMed, Web of Science and Embase databases to identify clinical trials evaluating the efficacy and safety of lenvatinib plus pembrolizumab in patients with advanced and recurrent endometrial cancer. The outcomes analyzed were progression-free survival (PFS), overall survival (OS), the objective response rate (ORR), the disease control rate (DCR) and the incidence of adverse events (AEs). Subgroup analysis was conducted on the basis of MMR status (deficient, dMMR or proficient, pMMR).ResultsFour trials (582 patients) were included. The pooled ORR was 32.7% [95% confidence interval (CI): 28.9–36.5]. Subgroup analysis revealed an ORR of 48.1% (95% CI: 26.1–70.2) for dMMR group and 33.1% (95% CI: 25.7–40.6) for pMMR group. The pooled DCR was 74.9% (95% CI: 71.3–78.4%). Subgroup analysis revealed a DCR of 81.0% (95% CI: 64.5–97.6) for the dMMR group and 76.3% (95% CI: 66.3–86.3) for the pMMR group. Follow-up was reported in all included studies. The median range time of PFS and OS was 5.3 months-258 days and 17.2 months-not reached, respectively. Regarding safety, the overall pooled proportions of any-grade AE and AEs ≥ grade 3 were 95.8% (95% CI: 89.5–100.0) and 80.2% (95% CI: 59.9–100.0), respectively.ConclusionLenvatinib plus pembrolizumab showed a relevant clinical benefit and significant toxicity in patients with advanced and recurrent endometrial cancer. Further studies encompassing long-term outcomes are warranted.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=522160/, identifier CRD42024522160

Screening, identification, and mechanism analysis of starch-degrading bacteria during curing process in tobacco leaf

Tobacco, a vital economic crop, had its quality post-curing significantly influenced by starch content. Nonetheless, the existing process parameters during curing were inadequate to satisfy the starch degradation requirements. Microorganisms exhibit inherent advantages in starch degradation, offering significant potential in the tobacco curing process. Our study concentrated on the microbial populations on the surface of tobacco leaves and in the rhizosphere soil. A strain capable of starch degradation, designated as BS3, was successfully isolated and identified as Bacillus subtilis by phylogenetic tree analysis based on 16SrDNA sequence. The application of BS3 on tobacco significantly enhanced enzyme activity and accelerated starch degradation during the curing process. Furthermore, analyses of the metagenome, transcriptome, and metabolome indicated that the BS3 strain facilitated starch degradation by regulating surface microbiota composition and affecting genes related to starch hydrolyzed protein and key metabolites in tobacco leaves. This study offered new strategies for efficiently improving the quality of tobacco leaves

Recent Progress in Phage Therapy to Modulate Multidrug-Resistant Acinetobacter baumannii, Including in Human and Poultry

Acinetobacter baumannii is a multidrug-resistant and invasive pathogen associated with the etiopathology of both an increasing number of nosocomial infections and is of relevance to poultry production systems. Multidrug-resistant Acinetobacter baumannii has been reported in connection to severe challenges to clinical treatment, mostly due to an increased rate of resistance to carbapenems. Amid the possible strategies aiming to reduce the insurgence of antimicrobial resistance, phage therapy has gained particular importance for the treatment of bacterial infections. This review summarizes the different phage-therapy approaches currently in use for multiple-drug resistant Acinetobacter baumannii, including single phage therapy, phage cocktails, phage–antibiotic combination therapy, phage-derived enzymes active on Acinetobacter baumannii and some novel technologies based on phage interventions. Although phage therapy represents a potential treatment solution for multidrug-resistant Acinetobacter baumannii, further research is needed to unravel some unanswered questions, especially in regard to its in vivo applications, before possible routine clinical use

Possible Luttinger liquid behavior of edge transport in monolayer transition metal dichalcogenide crystals.

In atomically-thin two-dimensional (2D) semiconductors, the nonuniformity in current flow due to its edge states may alter and even dictate the charge transport properties of the entire device. However, the influence of the edge states on electrical transport in 2D materials has not been sufficiently explored to date. Here, we systematically quantify the edge state contribution to electrical transport in monolayer MoS2/WSe2 field-effect transistors, revealing that the charge transport at low temperature is dominated by the edge conduction with the nonlinear behavior. The metallic edge states are revealed by scanning probe microscopy, scanning Kelvin probe force microscopy and first-principle calculations. Further analyses demonstrate that the edge-state dominated nonlinear transport shows a universal power-law scaling relationship with both temperature and bias voltage, which can be well explained by the 1D Luttinger liquid theory. These findings demonstrate the Luttinger liquid behavior in 2D materials and offer important insights into designing 2D electronics