4,329 research outputs found

    MRI Image Segmentation System of Uterine Fibroids Based on AR-Unet Network

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    Uterine fibroids are the most common benign tumors in female reproductive organs. The segmentation of uterine fibroids is crucial for accurate treatment. This paper proposes a new uterine fibroids MRI T2W image segmentation network AR-Unet (Attention Resnet101-Unet), which uses the deep neural network ResNet101 as the front end of feature extraction, extracts image semantic information, and combines U-net design ideas to build a network structure. The attention gate module is added before the upsampling and downsampling feature maps are spliced. We tested a total of 123 uterine fibroids MRI T2W images from 13 patients. The segmentation results were verified with expert-defined manual segmentation results. The average Dice coefficient, IOU value, sensitivity and specificity of all segmented images were 0.9044, 0.8443, 88.55% and 94.56%, the performance is better than ResNet101-Unet and Attention-Unet models, and finally the network is encapsulated into an auxiliary diagnostic system

    A STUDY ON THE ISSUE OF INNOVATIVE INDUSTRIAL CONSTRUCTION AND INNOVATIVE INDUSTRIAL CLUSTER IN BUILDING AN INNOVATIVE NINGXIA

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    To construct an Innovative Ningxia and develop its economy by leaps and bounds, This paper puts forward the necessity and urgency of adjusting and optimizing the industrial structure in Ningxia, it analyses the conclusion and enlightenment of theoretical research on the industrial cluster and the experience and enlightenment of the development of innovative industrial cluster at home and abroad, it pointes the tendency and the barriers to the industrial cluster in Ningxia, it advances the goal, direction and measures of innovative clusters development and construction in Ningxia. Key words: industrial structure, industrial cluster, innovative industrial construction, innovative industrial cluster, innovative Ningxi

    Activation of Dendritic Cells by Soypeptide Lunasin: Implication in Vaccine Adjuvant

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    poster abstractAdjuvants enhance the immunogenicity of vaccines and improve the immune responses. Although many adjuvants are currently used in research, FDA approved aluminum salt (Alum) remains the most often used in human vaccines. Alum is known to promote the Th2 immune response and enhance antibody production, but is less efficient on eliciting Th1 and CTL cellular responses. Thus, it is prudent to improve the effectiveness of current adjuvants or to develop a novel alternative adjuvant. We have recently identified lunasin, a seed peptide from soybeans, as a novel immune modulator. The objective is to define the effectiveness of lunasin peptide as an adjuvant that can enhance the protective immunity of vaccines. Our studies have revealed stimulatory effects of lunasin on dendritic cells (DCs) by regulating expression of a number of genes that are important for immune responses. Lunasin-treated human conventional DCs (cDCs) not only expressed elevated levels of co-stimulatory molecules (CD86) but also exhibited up-regulation of chemokines (CCL2, CCL3, CCL4) and cytokine (IL-1β). To determine the function of lunasin-treated cDCs, these cells were co-cultured with allogeneic human peripheral blood CD4+ T cells for 7 days in the mixed lymphocyte reaction. Lunasin-treated cDCs induced almost 2-fold higher proliferation of allogeneic CD4+ T cells when comparing with a sham treatment. To verify the in vivo effects, lunasin was administered into mice. Increased CD86 expression was found in cDCs from spleens of mice treated with lunasin. Furthermore, mice vaccinated with lunasin-adjuvanted ovalbumin (OVA) had reduced tumor growth following challenging with OVA-expressing A20 B-lymphoma cells. Taken together, our data suggest that lunasin may act as a vaccine adjuvant by targeting DCs to enhance and modulate the immune responses to antigens

    Gating of memory encoding of time-delayed cross-frequency MEG networks revealed by graph filtration based on persistent homology

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    To explain gating of memory encoding, magnetoencephalography (MEG) was analyzed over multi-regional network of negative correlations between alpha band power during cue (cue-alpha) and gamma band power during item presentation (item-gamma) in Remember (R) and No-remember (NR) condition. Persistent homology with graph filtration on alpha-gamma correlation disclosed topological invariants to explain memory gating. Instruction compliance (R-hits minus NR-hits) was significantly related to negative coupling between the left superior occipital (cue-alpha) and the left dorsolateral superior frontal gyri (item-gamma) on permutation test, where the coupling was stronger in R than NR. In good memory performers (R-hits minus false alarm), the coupling was stronger in R than NR between the right posterior cingulate (cue-alpha) and the left fusiform gyri (item-gamma). Gating of memory encoding was dictated by inter-regional negative alpha-gamma coupling. Our graph filtration over MEG network revealed these inter-regional time-delayed cross-frequency connectivity serve gating of memory encoding

    hidden charm decays of X(4014)X(4014) in a D∗Dˉ∗D^{*}\bar{D}^{*} molecule scenario

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    Inspired by the recent observation of a new structure, X(4014)X(4014), in the process γγ→γψ(2S)\gamma\gamma\to \gamma\psi(2S), we evaluate the possibility of assigning X(4014)X(4014) as a D∗Dˉ∗D^\ast \bar{D}^\ast molecular state with I(JPC)=0(0++)I(J^{PC})=0(0^{++}) by investigating the hidden charm decays of X(4014)X(4014). The partial widths of J/ψωJ/\psi\omega, ηcη \eta_{c}\eta and ηcη′\eta_{c}\eta^{\prime} channels are evaluated to be about (0.41∼5.00)(0.41\sim 5.00), (2.05∼7.49)(2.05\sim7.49) and (0.11∼0.51) MeV(0.11\sim0.51)\ \mathrm{MeV}, respectively. Considering the experimental observation and the present estimations, we proposed to search X(4014)X(4014) in the γγ→J/ψω\gamma \gamma \to J/\psi \omega process in Belle II.Comment: 7 pages, 5 figures, accepted for publication in Phys. Rev.
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