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Composite insulators are integral to the power grid, providing electrical insulation and mechanical support. However, their prolonged exposure to outdoor conditions renders them vulnerable to ageing. This can result in flashovers and economic ...

Pancreatic ductal adenocarcinoma (PDAC) is infrequent. Currently, non-invasive biomarkers for early detection of PDAC are not accessible. Here, we intended to identify a set of urine markers able to discriminate patients with ...

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• The LYVE1, REG1A, and TFF1 genes in urine samples can discriminate early-stage PDAC from healthy individuals.
• The REG1A gene had a sensitivity and specificity of 100 % and 82 %, respectively, for detecting PDAC.
• The LYVE1 gene had ...

Accumulation of senescent cells is a recognized feature in hepatocellular carcinoma (HCC), but their specific types and prognostic implications remain under investigation. This study aimed to delineate senescent cell types and their senescent ...

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• Unconventional T cells including NKT cells and γδT cells showed a predominant senescent signature in HCC.
• Senescent unconventional T cells in HCC might weaken the immune system against tumor development and lead to a worse overall ...

Clear cell renal cell carcinoma (ccRCC) frequently progresses to advanced stages due to tumor thrombus (TTs) formation. In this study, we aimed to investigate the role of coagulation-related pathway activation in the progression of ccRCC.

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• Identify the correlation between coagulation and the tumor microenvironment in renal cell carcinoma.
• Develop a coagulation-related prognostic model for risk stratification and prognosis prediction in renal cell carcinoma.
• MMP9 is ...

The network security problem in today's world is becoming more and more prominent, and intrusion detection as a branch in the field of network security has been developed tremendously. At present, back propagation (BP) neural network is widely ...

To unify the understanding of and improvements to management efficiency, the conceptual apparatus of information support for risk management of BP is clarified, and methods of analysis and assessment of risk in the information environment are ...

Artificial neural network (ANN) has acquired noticeable interest from the research community to handle complex problems in Construction and Building engineering (CB). This interest has led to an enormous amount of scientific publications in ...

• Performing scientometric review for ANN Applications in Construction and Building Engineering publications.
• Visualizing publications collaboration networks for key contributors.
• Visualizing publications direct citation networks for ...

Measuring the blood pressure (BP) and heart rate (HR) is essential in order to monitor the physiological vital parameters of patients admitted in Intensive care unit (ICU). Development of precise noninvasive measurement devices are encouraged for ...

• A data collection method acquiring data from tobacco curing sources is developed.
• The variation laws of impact factors of multi-source curing data are explored.
• A multi-sensor data fusion scheme with embedded XGBoost is proposed ...

The quality and economic value of cigarettes depend heavily on the quality of tobacco curing, which is greatly influenced by the temperature rise time during the process. Accurately setting the temperature rise time is crucial in creating the ...

Recently the interval forecasting of carbon price is investigated by advanced research since it can better quantify the uncertainty and reliability of the forecast value in comparison with point forecasting. However, this kind of model is always ...

In the development of automation and intelligent systems, multi-sensor data fusion technology is crucial. However, due to the uncertainty and incompleteness of sensor data, how to effectively fuse these data has always been a challenge. To solve this ...

This paper establishes a BP neural network model based on the VS database to predict the sales volume of the six samples requested in the coming week, and introduces a genetic algorithm to optimize the shortcomings of the original model, which ...

• BaroWavelet is a new tool for the evaluation of the baroreflex using wavelet transfoms.
• It incorporates continuous wavelet transform algorithms.
• An algorithm proposal based on the functionalities of package RHRV is also included.

Baroreflex sensitivity constitutes an indicator of the function of the baroreceptor control mechanism of blood pressure levels. It can be computed after estimating heart rate and blood pressure variability. We propose a ...

• Combination of vegetation indices, morphological characteristics and ecological factors improves the accuracy of leaf area index estimation.
• Texture information and ecological factors exhibit a close relationship with vegetation ...

Leaf area index (LAI) is an important phenotypic trait closely related to photosynthesis, respiration, and water utilization. In recent years, unmanned aerial vehicles (UAVs) multispectral capabilities enable the acquisition of spectral ...

• An experiment is designed to mine the temporal features of EEG data.
• EEG data is used as objective data to identify users' preferences for concepts.
• A BP neural network-based scheme preference prediction model is trained.

Customer preference-involved product concept evaluation is a vital stage for developing new products. One of the key factors in this stage is to mine the potential relationships between customers’ needs and technical requirements. In most new ...

• Model-based gait recognition techniques apt for handling covariates.
• An ...

Deep learning (DL) pipelines have evolved for over a decade now and are efficient at solving many challenging problems of image and signal processing applications. Designing deep learning pipelines for a particular application requires ...

One of the greatest threats posed by progress around the world is cardiovascular diseases (CVD). Each year, CVD accounts for the vast majority of deaths worldwide. The vast majority of people who die from CVD do so suddenly, and their families ...

Corrugated steel web is suitable for large-span extradosed cable-stayed bridge's design scheme. Live Load Structural Index (LLSI) is applied to evaluate the performance of the bridge with corrugated steel web. Parametric numeric models were built and ...

It has been indicated that leukemic stem cells (LSCs), a subset of leukaemia cells, are responsible for therapy resistance and relapse in acute myeloid leukaemia (AML). Therefore, the current study aimed to discover an LSC biomarker in AML ...

• Identification of differentially expressed genes in LSCs of AML.
• Primary strategy to develop effective therapy for AML using natural medicine.
• WT1 MD stimulation to identify natural drug target.
• Gallic acid could be a natural ...

Firstly, the evaluation system was determined, then the AGA and BP neural network algorithms were improved, and finally the entropy weight method was used to construct the dance drama performance teaching quality evaluation model. The optimal hidden layer ...