IL-33 administration is associated with facilitation of Th2 responses and cardioprotective properties in rodent models. However, heart transplantation, the mechanism by which IL-33, signaling through ST2L (the membrane-bound form ST2), promotes transplant survival unclear. We report that administration, while facilitating responses, also increases immunoregulatory myeloid cells CD4(+) Foxp3(+) regulatory T (Tregs) mice. expands functional myeloid-derived suppressor cells, CD11b(+) exhibit...

Automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images can help to establish a quantitative model for diagnosis and treatment. For this reason, article provides new method meet the needs CT processing under epidemic. The main steps are as follows: First, proposed region interest extraction implements patch mechanism strategy satisfy applicability 3-D network remove irrelevant background. Second, is established extract spatial features, where attention promotes...

Cerebrovascular segmentation from Time-of-flight magnetic resonance angiography (TOF-MRA) is a critical step in computer-aided diagnosis. In recent years, deep learning models have proved its powerful feature extraction for cerebrovascular segmentation. However, they require many labeled datasets to implement effective driving, which are expensive and professional. this paper, we propose generative consistency semi-supervised (GCS) model. Considering the rich information contained map, GCS...

Abstract In this study, we propagated myeloid dendritic cells (DC) from BALB/c (H2d) mouse bone marrow progenitors in IL-10 and TGF-β, then stimulated the with LPS. These “alternatively activated” (AA) DC expressed lower TLR4 transcripts than LPS-stimulated control were resistant to maturation. They comparatively low levels of surface MHC class II, CD40, CD80, CD86, programmed death-ligand 2 (B7-DC; CD273), whereas 1 (B7-H1; CD274) inducible costimulatory ligand expression unaffected. AADC...

Dendritic cell (DC) precursors were propagated from C57BL/10 (B10; H2b) mouse bone marrow in fms-like tyrosine kinase 3 ligand. Cosignaling molecule (B7-1/B7-2 and B7-H1) expression stimulatory capacity of precursor (pre)-plasmacytoid (p)DC (CD11c+B220+CD11b-CD19-) classic myeloid DC (MDC) for allogeneic (C3H; H2k) T cells compared. Unstimulated pre-pDC exhibited very low levels surface MHC class II costimulatory molecules (B7-1/B7-2), whereas a minor population expressed B7-H1 at higher...

Type 2 diabetes mellitus is a severe chronic disease threatening human health and has high incidence worldwide. People need to use effective prediction model diagnose prevent in time. At present, data mining technology become an increasingly important with classification capability the field of medical diagnosis. This paper proposes risk for type based on ensemble learning method. In proposed model, weighted feature selection algorithm random forest (RF-WFS) used optimal selection, extreme...

Explainability in medical images analysis plays an important role the accurate diagnosis and treatment of tumors, which can help professionals better understand results based on deep models. This paper proposes explainable brain tumor detection framework that complete tasks segmentation, classification, explainability. The re-parameterization method is applied to our classification network, effect heatmaps improved by modifying network architecture. Our model also has advantage post-hoc We...

Coastal eutrophication is a major issue of marine pollution. The main factors controlling must be identified to ensure effective environmental management according the respective local conditions. Zhanjiang Bay (ZJB), located northwest South China Sea, semi-closed bay influenced by complex water flows and development surrounding cities. In this study, we investigated nutrient concentrations compositions in ZJB seawater over past 20 years influencing based on several field investigations from...

The effort to model sand behavior within the framework of critical-state soil mechanics would benefit from a state variable that relates current void ratio and mean pressure its at critical state. In this paper we propose index, Ip, which is defined as corresponds ratio. Using bounding surface hypoplasticity for modified so phase transformation failure stress ratios both depend on Ip merge into failure. dependency introduced enables use single set constants in modeling various initial...

Abstract CD8α+ and CD8α− dendritic cells (DCs) arise from committed bone marrow progenitors can induce or regulate immune reactivity. Previously, the maturational status of (myeloid) DCs has been shown to influence allogeneic T cell responses allograft survival. Although have implicated in central tolerance found modulate peripheral function, their on outcome organ transplantation not examined. Consistent with equivalent high surface expression MHC costimulatory molecules, sorted mature...

To reduce the impact of low intensity on spot micro-expressions in long video sequences when facial microexpressions occur, this paper presents a method based Local Bilinear Convolutional Neural Network (LBCNN) for spotting macro- and videos sequences. Considering micro-expressions, occurrence is only related to local area facial, we turn micro-expression into fine-grained image recognition. (BCNN) has proven be effective Therefore, use BCNN structure extract global features face each frame...

Retinal blood vessels are the basis for clinical diagnosis of some diseases. Achieving automatic retinal vessel segmentation from fundus images is an important and challenging work. In this paper, a neural network architecture based on Dense U-net using Inception module proposed segmentation. First, skip connections in traditional replaced with Block to achieve full fusion features shallow layers deep layers. Then, applied supersede convolution operation. Thus, corresponding kernels...

Facial micro-expressions are short and imperceptible expressions that involuntarily reveal the true emotions a person may be attempting to suppress, hide, disguise, or conceal. Such can reflect person's real have wide range of application in public safety clinical diagnosis. The analysis facial video sequences through computer vision is still relatively recent. In this research, comprehensive review on topic spotting recognition used microexpression databases methods, conducted, advanced...

Due to the widespread application of new technologies such as increased production and injection, output many old wells has improved, but this also led varying degrees sand production. Increased affected oil well production, equipment wear, wellbore plugging, safety risks. To increase particle transport performance within wellbores, indoor experiments have been conducted study characteristics, transformation relationships, critical flow velocities for fluid carrying sand. The experimental...

An improved genetic algorithm of optimum path planning for mobile robots is proposed in this paper. obstacle avoidance introduced to generate the initial population order improve efficiency. Domain heuristic knowledge based crossover, mutation, refinement and deletion operators are specifically designed fit robots. Furthermore, a fuzzy logic control integrated self-adaptively adjust probabilities crossover mutation algorithm. Simulation studies both static dynamic environments carried out,...

With the integration of modern industrial control systems (ICS) with Internet technology, ICS can make full use rich resources on to facilitate remote process control. However, every coin has two sides. More exposure outside IT world made an attractive target for hackers, so it becomes urgent protect security ICS. Skilled attackers penetrate networks and then manipulate sensor readings or signals persistently until system crashes, while still keeping themselves undetected by following...

For industrial production, the traditional manual on-site monitoring method is far from meeting production needs, so it imperative to establish a remote system for equipment. Based on machine learning algorithms, this paper combines artificial intelligence technology and Internet of Things build an efficient, fast, accurate equipment system. Moreover, in view characteristics diverse types equipment, scattered layout, many parameters manufacturing as well complexity high temperature,...

Active compliance control is one of the necessary prerequisites for fine manipulation hydraulic heavy duty manipulators (HHDMs). The establishment a rigid-flexible coupling machine-hydraulic multibody dynamics model and an active algorithm HHDM are key problems to be solved urgently in manipulators. In this paper, system with seven degrees freedom developed consideration characteristics, such as multi-input multioutput, nonlinearity, coupling. Meanwhile, position/force same loop proposed...