The problem of imbalanced network loading has become the current prominent problem in big city rail transit system. Evaluating the coordination of time-space relation between transport capacity and ...passenger flow in urban rail transit scientifically and accurately, and then using limited resources of fixed equipment and mobile devices to optimize supply of capacity are the main measures to solve this problem. For this purpose, evaluation of matching degree be-tween the transport capacity and passenger flow demand is studied in this paper. Both capacity supply and passenger service level are synthetically evaluated not only for the train capacity utilization, but also for the passenger service level (e.g. waiting time, crowded degree). Multi-level matching evaluation index and method are constructed, which realizes scientific evaluation. Finally, an empirical study is practiced to verify the accuracy and practicability of the proposed method. (Abstract)
In long-term operations, seasonal imbalance in the thermal load may adversely affect the heat transfer performance of the energy piles, potentially resulting in thermal accumulation within the ground ...and eventual system failure. The heat transfer performance of energy pile systems during long-term operation under unbalanced thermal loads must be investigated. Moreover, the design parameters of energy piles are usually constrained by the requirements of foundation structural design, resulting in energy piles being densely arranged. Hence, the influence of pile spacing on the heat exchange performence of energy piles must be comprehensively understood. In this study, two- and three-dimensional energy-pile heat transfer models were established and innovatively coupled based on an engineering project currently under design. Numerical simulations were performed to investigate the heat transfer behavior of energy-pile groups subjected to unbalanced thermal loads and the effect of pile spacing on their heat exchange performance. Furthermore, design recommendations regarding the determination of the proportion of thermal loads to be borne by the energy piles in a hybrid GSHP system were provided. The results indicate that the proposed 2D-3D coupled modeling approach is able to simulate the heat exchange performance of large-scale energy pile groups. Pile spacing considerably affects the long-term thermal performance of energy-pile groups, especially in cases with small pile spacings. The influence of pile spacing on the heat exchange capacity of energy piles can be considered in the design phase by incorporating a group effect coefficient η, which are calculated to be 0.165, 0.470, 0.732, and 1 for pile spacings of 2 m, 4 m, 6 m, and 10 m, respectively.
Energy piles have been applied in engineering practice as retaining piles,but there is little research at home and abroad. Based on the application of energy retaining piles in Xiongan Urban ...Computing（Supercomputing Cloud）Center,numerical simulations are conducted to study the excavation of a deep foundation pit and temperature change process of energy retaining piles using COMSOL Multiphysics software. In the excavation simulation,the model parameter setting was optimized by comparing the simulation results with the field measured data,and the"subgrade stiffness partition"modeling method for the foundation soil was proposed. Furthermore,the influence of different temperature loads on the deformation and internal force of the retaining pile is studied. Finally,based on the above analysis results,suggestions are put forward on considering the influence of temperature load on the retaining pile in engineering design calculation. The results show that the modeling method considering subgrade stiffness partition
This paper provides a sufficient criterion guaranteeing the robust global exponential stability (RGES) of fuzzy neural networks (FNN) with bis-disturbances, i.e., derivative contraction coefficients ...and piecewise constant arguments. By using the generalized Gronwall inequality and modular inequality, the upper bound of bis-disturbances is derived by solving the binary implicit transcendental equation as well as external spontaneous constraints respectively, ensuring the primitive stable FNN can be stable again in the presence of external bis-disturbances. Furthermore, the feasible boundary derived from the established criterion can guarantee that the mutual restraint and dynamic interconnection effects between the bis-disturbances that allow the system to be stable again can occur instead of being independent. Finally, the validity of the derived theoretical results is verified by simulation.
By using vehicle-to-vehicle (V2V) communication technology to interconnect trains while maintain a shorten distance under the premise of safety condition, is the development direction for improving ...the efficiency of high-speed trains. Trajectory prediction of train ahead is an important mean to further reduce the tracking distance. In this paper, based on Gaussian mixture model (GMM) and long short-term memory (LSTM) Recurrent Neural Network (RNN), we propose a personalized trajectory prediction method model for high-speed trains. The main idea is to achieve accurate and personalized trajectory prediction by recognizing the driving style of the train ahead to realize a shorter distance tracking control. Firstly, based on the GMM, three different driving styles are identified by combining the characteristic data of tracking trains, and the characteristic importance of driving styles are analyzed by MIC. Secondly, based on different driving styles, a novelty personalized trajectory prediction algorithm is worked out by modified LSTM-RNN models. Finally, experiments are carried out using the real data of the on-board equipment and ground control equipment. The results indicate that, compared with the traditional trajectory prediction methods, the proposed personalized trajectory prediction method shows significant advantages.
The aryl hydrocarbon receptor (AhR) is an important immune regulator with a role in inflammatory response. However, the role of AhR in IL-10 production by inflammatory macrophages is currently ...unknown. In this study, we investigated LPS-induced IL-10 expression in macrophages from AhR-KO mice and AhR-overexpressing RAW264.7 cells. AhR was highly expressed after LPS stimulation through NF-κB pathway. Loss of AhR resulted in reduced IL-10 expression in LPS-induced macrophages. Moreover, the IL-10 expression was elevated in LPS-induced AhR-overexpressing RAW264.7 cells. Maximal IL-10 expression was dependent on an AhR non-genomic pathway closely related to Src and STAT3. Furthermore, AhR-associated Src activity was responsible for tyrosine phosphorylation of STAT3 and IL-10 expression by inflammatory macrophages. Adoptive transfer of AhR-expressing macrophages protected mice against LPS-induced peritonitis associated with high IL-10 production. In conclusion, we identified the AhR-Src-STAT3-IL-10 signaling pathway as a critical pathway in the immune regulation of inflammatory macrophages, It suggests that AhR may be a potential therapeutic target in immune response.
Aminoacyl-tRNA synthetases (aaRSs) have housekeeping roles in protein synthesis, but little is known about how these aaRSs are involved in organ development. Here, we report that a rice (Oryza ...sativa) glutamyl-tRNA synthetase (OsERS1) maintains proper somatic cell organization and limits the overproliferation of male germ cells during early anther development. The expression of OsERS1 is specifically detectable in meristematic layer 2-derived cells of the early anther, and osers1 anthers exhibit overproliferation and disorganization of layer 2-derived cells, producing fused lobes and extra germ cells in early anthers. The conserved biochemical function of OsERS1 in ligating glutamate to tRNAGlu is enhanced by its cofactor aaRS OsARC. Furthermore, metabolomics profiling revealed that OsERS1 is an important node for multiple metabolic pathways, indicated by the accumulation of amino acids and tricarboxylic acid cycle components in osers1 anthers. Notably, the anther defects of the osers1 mutant are causally associated with the abnormal accumulation of hydrogen peroxide, which can reconstitute the osers1 phenotype when applied to wild-type anthers. Collectively, these findings demonstrate how aaRSs affect male organ development in plants, likely through protein synthesis, metabolic homeostasis, and redox status.
Streptomycin (STR) is an antibiotic fungicide that is easily enriched in the environment and threatens human health. In this paper, a ratiometric fluorescence aptasensor with silver ...nanoclusters-skimmed milk powder@zeolitic imidazolate framework-8 (AgNCs-SMP@ZIF-8) fluorescent material as the response signal and carbon quantum dots (CQDs) functionalized with aptamer as the reference signal was prepared. Magnetic graphene oxide selection technology was used to screen high-affinity STR-specific aptamer. The truncation strategy for removing non-binding site bases was based on molecular simulation docking, and it was found that the stem-loop structure formed by the truncated aptamer 52 (Apt52) was used for STR-specific recognition and had a higher STR affinity (Kd = 14.52 nM) compared to the initial 79-nucleotide aptamer. AgNCs was then covered in a protein coating and encapsulated in ZIF-8 to obtain AgNCs-SMP@ZIF-8 with enhanced red fluorescence intensity. The added Cu2+ rapidly penetrated into ZIF-8 to induce red fluorescence quenching, while the CQDs modified by Apt52 maintained green fluorescence. Hence, the constructed ratiometric fluorescent sensor with Apt52 as the recognizing element can detect STR within 90 s with a detection limit of 0.98 nM. The ratiometric probe proposed has considerable potential for STR residue detection in milk.
•High-affinity aptamer for streptomycin were screened by MGO-SELEX for the first time.•SMP coating and ZIF-8 encapsulation enhanced the fluorescence intensity of AgNCs.•The ratiometric sensor was constructed with AgNCs-SMP@ZIF-8 and carbon quantum dots.
Ovarian cancer is the most lethal gynaecological cancer, and resistance of platinum‐based chemotherapy is the main reason for treatment failure. The aim of the present study was to identify candidate ...genes involved in ovarian cancer platinum response by analysing genes from homologous recombination and Fanconi anaemia pathways. Associations between these two functional genes were explored in the study, and we performed a random walk algorithm based on reconstructed gene‐gene network, including protein‐protein interaction and co‐expression relations. Following the random walk, all genes were ranked and GSEA analysis showed that the biological functions focused primarily on autophagy, histone modification and gluconeogenesis. Based on three types of seed nodes, the top two genes were utilized as examples. We selected a total of six candidate genes (FANCA, FANCG, POLD1, KDM1A, BLM and BRCA1) for subsequent verification. The validation results of the six candidate genes have significance in three independent ovarian cancer data sets with platinum‐resistant and platinum‐sensitive information. To explore the correlation between biomarkers and clinical prognostic factors, we performed differential analysis and multivariate clinical subgroup analysis for six candidate genes at both mRNA and protein levels. And each of the six candidate genes and their neighbouring genes with a mutation rate greater than 10% were also analysed by network construction and functional enrichment analysis. In the meanwhile, the survival analysis for platinum‐treated patients was performed in the current study. Finally, the RT‐qPCR assay was used to determine the performance of candidate genes in ovarian cancer platinum response. Taken together, this research demonstrated that comprehensive bioinformatics methods could help to understand the molecular mechanism of platinum response and provide new strategies for overcoming platinum resistance in ovarian cancer treatment.
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