In order to achieve rapid and fair distribution of emergency supplies after a large-scale sudden disaster, this paper constructs comprehensive time perception satisfaction function material loss pain portray the perceived disaster victims based on objective constraints such as limited transport, multimodal transport supply being less than demand, at same considers subjective quantity under rational conditions, multi-objective optimisation model for dispatch multi-cycle by combining rescue...

The prediction of casualties in earthquake disasters is a prerequisite for determining the quantity emergency supplies needed and serves as foundational work timely distribution resources. In order to address challenges such large computational workload, tedious training process, multiple influencing factors associated with predicting casualties, this study proposes Support Vector Machine (SVM) model utilizing Principal Component Analysis (PCA) Bayesian Optimization (BO). original data are...

To investigate the effects of leptin on matrix metalloproteinase-7 (MMP-7) expression and cellular invasion human colon cancer cells. Human cells were stimulated with at various concentrations (0 nM, 1.2 6 25 100 nM), stimulatory tested by transwell assay. The signaling cascade in examined Western blot assay zymogram analysis. This study demonstrated that dose-dependently induced MMP-7 HT-29 Treatment small interfering RNA (siRNA) significantly blocked leptin-mediated invasion. Wortmannin [a...

Vascular smooth muscle cell (VSMC) phenotype change is a hallmark of vascular remodeling, which contributes to atherosclerotic diseases and can be regulated via microRNA-dependent mechanisms. We recently identified that asymmetrical dimethylarginine positively correlates remodeling-based diseases. hypothesized induces (SMC) phenotypic mechanism.Microarray analysis enabled the identification downregulation miR-182-3p in dimethylarginine-treated human aortic artery SMCs. The myeloid-associated...

MicroRNAs (miRNAs) influence several biological processes involved in human disease. Biological experiments for verifying the association between miRNA and disease are always costly terms of both money time. Although numerous have identified multi-types associations miRNAs diseases, existing computational methods unable to sufficiently mine knowledge these predict unknown associations. In this study, we innovatively propose a heterogeneous graph attention network model based on...

MicroRNA (miRNA)-disease association (MDA) prediction is critical for disease prevention, diagnosis, and treatment. Traditional MDA wet experiments, on the other hand, are inefficient costly.Therefore, we proposed a multi-layer collaborative unsupervised training base model called SGAEMDA (Stacked Graph Autoencoder-Based Prediction of Potential miRNA-Disease Associations). First, from original miRNA data, defined two types initial features: similarity features features. Second, stacked graph...

To achieve the purposes of storing industry solid wastes and enhancing subgrade stability in seasonally frozen regions, Structure III, which utilized modified silty clay (SC) extruded polystyrene (XPS) board as a novel thermal insulation layer (NSTIL), was presented. The above SC consisted oil shale waste, fly ash SC. In terms environmental impact, average single pollution index, Nemerow integrated index national standards were carried out to estimate whether could be used filler. These...

Abstract Numerous biological studies have shown that considering disease-associated micro RNAs (miRNAs) as potential biomarkers or therapeutic targets offers new avenues for the diagnosis of complex diseases. Computational methods gradually been introduced to reveal disease-related miRNAs. Considering previous models not fused sufficiently diverse similarities, their inappropriate fusion may lead poor quality comprehensive similarity network and results are often limited by insufficiently...

In order to reduce the traffic congestion and enhance capacity of urban road intersections, this paper builds a model vehicle queuing system for intersection by theory Based on Monte Carlo algorithm, carries out simulation analysis in MATLAB, analyses, status queue waiting time, explores methods solve problem queues at intersections.The optimal design operating conditions has also been implemented from perspective theory, facilities planning, Ergonomics management system.The results show...

Intelligent management of trees is essential for precise production in orchards. Extracting components’ information from individual fruit critical analyzing and understanding their general growth. This study proposes a method to classify persimmon tree components based on hyperspectral LiDAR data. We extracted nine spectral feature parameters the colorful point cloud data performed preliminary classification using random forest, support vector machine, backpropagation neural network methods....

Abstract MiRNA (microRNA)‐disease association prediction has essential applications for early disease screening. The process of traditional biological experimental validation is both time‐consuming and expensive. However, as artificial intelligence technology continues to advance, computational methods have become efficient tools predicting miRNA‐disease associations. These often rely on the combination multiple sources data require improved feature mining. This study proposes a dynamic...

In this article, we first depict the call-role sensitivity problem in Network Address Translation (NAT) traversal, and then propose an approach to resolving problem. The is whether a direct connection can be found between two peers across NATs mainly depends on NAT type at caller's side. We extra-candidate connectivity check where both initiate eliminate effect of call role. have implemented conducted experiments with 18 different NATs. Experimental results show that our indeed resolve...

To achieve the purposes of disposing industry solid wastes and enhancing sustainability subgrade life-cycle service performance in seasonally frozen regions compared to previous research modified silty clay (MSC) composed oil shale ash (OSA), fly (FA), (SC), we identified for first time axial deformation characteristics MSC with different levels cycle load number, dynamic stress ratio, confining pressure, loading frequency, F-T cycles; corresponding above conditions, normalized logarithmic...

Abstract Ubiquitin‐specific protease 33 (USP33) has been implicated in various cancers, but its biological function and mechanism of action remain unknown pancreatic cancer (PCa) as a deubiquitinating enzyme. Herein, we report that USP33 silencing inhibits PCa cell survival self‐renewal. USPs highly expressed spherical cells were screened by comparing the levels ubiquitin‐specific proteases adherent cells. After USP, effect USP on proliferation was detected CCK‐8 colony formation assay,...

In this work, the interaction of urasolic acid (UA, a natural pentacyclic triterpene) and 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC, an important phospholipid in cell membrane) was investigated.The mean excess surface area per molecule, elastic modulus, Gibbs energy, parameter mixed monolayer were studied based on pressure-area isotherms.The authors found that, as well cholesterol, UA can induce DPPC molecules condensation.The stability, compressibility thermodynamic characteristics...

Abstract Background A large number of biological studies have shown that miRNAs are inextricably linked to many complex diseases. Studying the miRNA-disease associations could provide us a root cause understanding underlying pathogenesis in which promotes progress drug development. However, traditional experiments very time-consuming and costly. Therefore, we come up with an efficient models solve this challenge. Results In work, propose deep learning model called EOESGC predict potential...

miRNAs significantly affect multifarious biological processes involving human disease. Biological experiments always need enormous financial support and time cost. Taking expense difficulty into consideration, to predict the potential miRNA-disease associations, a lot of high-efficiency computational methods by computer have been developed, based on network generated association dataset. However, there exist many challenges. Firstly, between diseases is intricate. These should consider...