Obesity is commonly accompanied by chronic tissue inflammation and leads to insulin resistance. Aerobic exercise an essential treatment for resistance has anti-inflammatory effects. However, the molecular mechanisms of on obesity-associated remain largely unknown. Here, we evaluated effects aerobic in skeletal muscles high-fat diet (HFD) mice. Male C57BL/6J mice were fed a or normal 12 weeks, then training was performed treadmill 8 weeks. Body weight, fasting blood glucose, food intake...

Exercise improves insulin sensitivity and lipid metabolism while the mechanisms remain unclear. MicroRNAs (miRNAs) have been linked to development of type 2 diabetes mellitus (T2DM) served as a potential therapeutic target. The study aimed explore how aerobic exercise prevents chronic inflammation resistance (IR) in skeletal muscle. Fifty C57BL/6J male mice were divided into normal (CON) or high-fat diet (HFD) for 12 weeks, followed by treadmill training 8 weeks. Glucose levels evaluated...

The uncertain moving average model is a powerful tool to study the time series in which data are affected by previous disturbance terms under environments. However, influence of often ignored relevant statistical inference studies. In order solve this problem, paper constructs symmetric invariant, normal variable, sorting out and combining terms, then applies least square principle parameter estimation invariant determine unknown parameters model. addition, numerical algorithm designed...

Objective: We investigated the effect of human umbilical cord mesenchymal stem cells (HUC-MSCs) supernatants on proliferation, migration, invasion, and apoptosis in glioblastoma (GBM) cell lines RG-2, U251, U87-MG, LN-428, as well their autophagy-mediated through IL-6/JAK2/STAT3 signaling pathway to explore molecular mechanisms. Methods: In this study, LN-428 were treated with 9 mg/ml HUC-MSCs supernatants. Their responses treatment status STAT3 analyzed by multiple experimental approaches...

In the field of statistics, uncertain regression analysis occupies an important position. It can thoroughly analyze data sets contained in complex uncertainties, aiming to quantify and reveal intricate relationships between variables. is worth noting that traditional least squares method only takes into account reduction deviations predictions observations, fails fully consider inherent characteristics correlation uncertainty distributions under framework. light this, this paper constructs a...

Cervical carcinoma is a major gynecological cancer and causes cancer-related deaths in worldwide, the latent pathogenesis progress of cervical still under research. ClC-3 may be an important promoter for aggressive metastasis malignant tumors. In this research, we explore expression its underlying clinical significance, trying to illuminate probable function neoplasm behavior, development prognosis.Paraffin-embedded (n = 168) lymph node 100) tissue specimens were analysed by...

In this paper, we investigate a wear and mixed shock model in which the system can fail due to internal aging or external shocks. The lifetime of system, wear, follows continuous phase-type (PH) distributions. random shocks arrive at according PH renewal process. will when failure occurs k1 consecutive shocks, size least d1 k2 d2 occur, where d1<d2, k1>k2. failed be repaired immediately, repair times are governed by replaced new identical one based on bivariate replacement policy...

Background The scoring systems currently used to identify the potential for thrombosis and bleeding events in high-risk atrial fibrillation patients have certain limitations. aim of this pilot study was inflammatory chemokines with utility as sensitive biomarkers risk elderly non-valvular fibrillation. Methods From January 1, 2014, December 31, 2017, 200 consecutive (average age: 87.6 ± 7.7 years) were enrolled followed up 2 years observe thromboembolic (arterial venous) events. Serum...

A system undergoes a failure process in which the internal degradation and external loads are independent compete with each other. In reliability model of competitive failure, threshold is often dynamic that changes time. Based on this, this paper constructs an uncertain Liu applies it to process, where soft hard thresholds modeled by different processes. absence large amount data, uncertainty theory used as tool analyze belief mean time system. Taking gas-insulated substation (GIS) example,...

Abstract Background Fat distribution is closely related to vascular stiffness. This study aimed investigate age and sex differences in fat brachial-ankle pulse wave velocity (baPWV), the association between parameters baPWV. Methods A total of 10,811 participants aged 20–59 years were recruited. Measures included waist hip circumference, waist-to-hip ratio (WHR), body mass index (BMI), percentage (PBF), subcutaneous area (SFA), visceral (VFA), Results The results confirm that accumulates...

In the study of uncertain autoregressive models, how to estimate unknown parameters and disturbance term in models is always a key problem. view this, this paper proposes statistical inference method based on principle least squares determine an model, designs numerical algorithm calculate solutions corresponding estimators. Then, hypothesis test used verify applicability estimated point forecast interval are also made for time series future moments. Finally, case Consumer Price Index all...

Background/Objectives: This study aimed to assess the effect of aerobic exercise on capillary density and vascular smooth muscle cell (VSMC) phenotype in visceral subcutaneous adipose tissue high-fat-diet (HFD) mice order understand mechanisms underlying improvements insulin resistance (IR) chronic inflammation (AT). Methods: Male C57BL/6J were divided into HFD normal diet groups for 12 weeks then further split sedentary subgroups an additional 8 weeks. Various parameters including body...

The vibration signal of rolling bearing under time-varying speed has strong non-stationarity and the fault characteristic frequency changes with time, so it is necessary to use order analysis for feature extraction. Time-frequency (TFA) methods used in tacholess tracking are weak energy concentration have heavy computational complexity. To solve these problems, an adaptive fast Chirplet transform (CT) based automatic optimal searching angle band proposed this paper. Using modulation operator...

Optimal configuration of the micro power supply is basis for ensuring stable and economic operation microgrid. In this paper, a micro-grid optimal model microgrid based on particle swarm optimization (PSO) proposed. It studied from aspects economy reliability, optimized by weight coefficient method to obtain best micro-power under various conditions capacity. capacity island mode studied, solved optimization. The simulation results show feasibility correctness algorithm, improve economics reliability

In this paper, a three components repairable system with K-mixed redundancy strategy is proposed, in which the lifetimes of components, repair time failure and vacation are distributed different phase-type (PH) distributions. The phases can represent operational levels, levels levels. multiple policy also adopted so that human resources be fully utilized. studied both transient stationary regimes matrix-analytic method, not only some traditional reliability indexes obtained, but several new...

Though neural data fusion algorithms based on a linearly constrained least square (LCLS) method solve the ill-conditioned and singular matrix problems that arise in LCLS method, they don't perform well when there are impulsive noises attached to several sensors. In this paper, algorithm squares (LS) trimmed (TLS) is proposed. On one hand, it inherits unbiased statistical property merit no priori knowledge about noise covariance needed. other more robust has better results than (LCTLS).