A deep belief rule base-based fault diagnosis method for complex systems.

Complex systems are prone to faults due to their intricate structures, potentially impacting system stability. Therefore, fault diagnosis has become crucial for maintaining stable operation. In the field of complex systems, the combinatorial explosion problem in belief rule base (BRB) has attracted significant attention.

Phylogenetic relationship and characterization of the complete mitochondrial genome sequence of (Cypriniformes: Danionidae: Chedrinae).

In this paper, we first report the complete mtDNA sequence of with the main aim of providing a basis for further researches of this species. Assembly circular mitogenome was 16,534 bp long encoded 13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNA genes, and one control region. The gene nucleotide composition was estimated to be 28.

Deep belief rule based photovoltaic power forecasting method with interpretability.

Accurate prediction of photovoltaic (PV) output power is of great significance for reasonable scheduling and development management of power grids. In PV power generation prediction system, there are two problems: the uncertainty of PV power generation and the inexplicability of the prediction result. The belief rule base (BRB) is a rule-based modeling method and can deal with uncertain information.

A New Evidential Reasoning Rule Considering Interval Uncertainty and Perturbation.

The evidential reasoning (ER) rule has been widely applied in the multiple attribute decision making (MADM), which makes the decision-making process transparent and credible by using a belief structure. To improve the ability of the ER rule in dealing with the interval uncertainty, a new interval ER (IER) rule is proposed in this article. The interval uncertainty is described as the interval grade in the new frame of discernment (FoD) to model the local ignorance.

A New Evidential Reasoning Rule With Continuous Probability Distribution of Reliability.

Evidential reasoning (ER) rule has been widely used in dealing with uncertainty. As an important parameter to measure the inherent property of evidence, the evidence reliability makes the ER rule constitute a generalized reasoning framework. In current research of the ER rule, the evidence reliability tends to be expressed in the form of quantitative value by certain methods or expert knowledge.

Senescent Cell-Secreted Netrin-1 Modulates Aging-Related Disorders by Recruiting Sympathetic Fibers.

Cellular senescence is implicated in several lines of aging-related disorders. However, the potential molecular mechanisms by which cellular senescence modulates age-related pathologies remain largely unexplored. Herein, we report that the density of sympathetic fibers (SFs) is significantly elevated in naturally aged mouse tissues and human colon adenoma tissues compared to the SFs densities in the corresponding young mouse tissues and human non-lesion colon tissues.

A New Evidential Reasoning Rule-Based Safety Assessment Method With Sensor Reliability for Complex Systems.

In current studies of safety assessment for complex systems with the evidential reasoning (ER) rule, the evidence reliability is generally given by experts, which makes the observation data by sensors ignored. However, sensors are inevitably affected by such various uncertainties as perturbations in engineering practice, which can reduce their quality and tracking ability. As such, the observation data may become unreliable, and the modeling accuracy of the ER rule is decreased.

Neutrophil and Platelet to Lymphocyte Ratios in Associating with Blood Glucose Admission Predict the Functional Outcomes of Patients with Primary Brainstem Hemorrhage.

Background: Because of a lack of markers for predicting prognosis and an underlying mechanism, patients with primary brainstem hemorrhage (PBH) are currently treated with multiple strategies, but most of them have poor outcomes in a comparison with patients with supratentorial intracranial hemorrhage. Recently, it has been reported that the neutrophil-to-lymphocyte ratio (NLR) represents a novel composite inflammatory marker to predict the prognosis of patients with intracranial hemorrhage, a majority of whom have supratentorial hemorrhage. In this report, we aim to assess the potential predictive value of NLR in patients with PBH.