125 research outputs found

    The Differentiation Balance of Bone Marrow Mesenchymal Stem Cells Is Crucial to Hematopoiesis.

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    Bone marrow mesenchymal stem cells (BMSCs), the important component and regulator of bone marrow microenvironment, give rise to hematopoietic-supporting stromal cells and form hematopoietic niches for hematopoietic stem cells (HSCs). However, how BMSC differentiation affects hematopoiesis is poorly understood. In this review, we focus on the role of BMSC differentiation in hematopoiesis. We discussed the role of BMSCs and their progeny in hematopoiesis. We also examine the mechanisms that cause differentiation bias of BMSCs in stress conditions including aging, irradiation, and chemotherapy. Moreover, the differentiation balance of BMSCs is crucial to hematopoiesis. We highlight the negative effects of differentiation bias of BMSCs on hematopoietic recovery after bone marrow transplantation. Keeping the differentiation balance of BMSCs is critical for hematopoietic recovery. This review summarises current understanding about how BMSC differentiation affects hematopoiesis and its potential application in improving hematopoietic recovery after bone marrow transplantation

    Biomaterials targeting the microenvironment for spinal cord injury repair: progression and perspectives

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    Spinal cord injury (SCI) disrupts nerve pathways and affects sensory, motor, and autonomic function. There is currently no effective treatment for SCI. SCI occurs within three temporal periods: acute, subacute, and chronic. In each period there are different alterations in the cells, inflammatory factors, and signaling pathways within the spinal cord. Many biomaterials have been investigated in the treatment of SCI, including hydrogels and fiber scaffolds, and some progress has been made in the treatment of SCI using multiple materials. However, there are limitations when using individual biomaterials in SCI treatment, and these limitations can be significantly improved by combining treatments with stem cells. In order to better understand SCI and to investigate new strategies for its treatment, several combination therapies that include materials combined with cells, drugs, cytokines, etc. are summarized in the current review

    AMOBH: Adaptive Multiobjective Black Hole Algorithm

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    This paper proposes a new multiobjective evolutionary algorithm based on the black hole algorithm with a new individual density assessment (cell density), called “adaptive multiobjective black hole algorithm” (AMOBH). Cell density has the characteristics of low computational complexity and maintains a good balance of convergence and diversity of the Pareto front. The framework of AMOBH can be divided into three steps. Firstly, the Pareto front is mapped to a new objective space called parallel cell coordinate system. Then, to adjust the evolutionary strategies adaptively, Shannon entropy is employed to estimate the evolution status. At last, the cell density is combined with a dominance strength assessment called cell dominance to evaluate the fitness of solutions. Compared with the state-of-the-art methods SPEA-II, PESA-II, NSGA-II, and MOEA/D, experimental results show that AMOBH has a good performance in terms of convergence rate, population diversity, population convergence, subpopulation obtention of different Pareto regions, and time complexity to the latter in most cases

    Questões da formação de professores de arte no contexto das inovações educacionais

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    The purpose of the work is to determine the personal qualities of a music teacher that contribute to the effectiveness of his artistic and educational activities in modern conditions, the theoretical development of the essence, content, and component structure of the categories “artistic empathy”, “style culture of performing musical works”, “artistic and performing self-efficacy of the individual”. Using the methods of questioning, testing, pedagogical observation, and analysis of lessons in the system of arts faculties of pedagogical universities of Ukraine and statistical processing of the materials obtained, the state of modern practice of professional training of future musicians is characterized. As a result of the study, it is argued that these qualities are among the dominant professional and personal qualities of a modern music teacher. The article confirms the prospects for forming these professional and personal qualities precisely in the process of special musical training of students.El propósito del trabajo es determinar las cualidades personales de un profesor de música que contribuyan a la efectividad de sus actividades artísticas y educativas en condiciones modernas, el desarrollo teórico de la esencia, contenido y estructura componente de las categorías “empatía artística”, “cultura de estilo de la interpretación de obras musicales”, “autoeficacia artística y escénica del individuo”. Utilizando los métodos de cuestionamiento, prueba, observación pedagógica y análisis de lecciones en el sistema de facultades de artes de las universidades pedagógicas de Ucrania y el procesamiento estadístico de los materiales obtenidos, se caracteriza el estado de la práctica moderna de la formación profesional de los futuros músicos. Como resultado del estudio, se argumenta que estas cualidades se encuentran entre las cualidades profesionales y personales dominantes de un profesor de música moderno. El artículo confirma las perspectivas de formación de estas cualidades profesionales y personales precisamente en el proceso de formación musical especial de los estudiantes.O objetivo do trabalho é determinar as qualidades pessoais de um professor de música que contribuem para a eficácia de suas atividades artísticas e educacionais nas condições modernas, o desenvolvimento teórico da essência, conteúdo e estrutura de componentes das categorias “empatia artística”, “cultura de estilo de execução de obras musicais”, “autoeficácia artística e performática do indivíduo”. Usando os métodos de questionamento, teste, observação pedagógica e análise das aulas no sistema das faculdades de artes das universidades pedagógicas da Ucrânia e processamento estatístico dos materiais obtidos, o estado da prática moderna de formação profissional de futuros músicos é caracterizado. Como resultado do estudo, argumenta-se que essas qualidades estão entre as qualidades profissionais e pessoais dominantes de um professor de música moderno. O artigo confirma as perspectivas de formação dessas qualidades profissionais e pessoais justamente no processo de formação musical especial dos alunos

    The oral microbiome of patients with ischemic stroke predicts their severity and prognosis

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    Background and objectivesStroke is a common group of cerebrovascular diseases that can lead to brain damage or death. Several studies have shown a close link between oral health and stroke. However, the oral microbiome profiling of ischemic stroke (IS) and its potential clinical implication are unclear. This study aimed to describe the oral microbiota composition of IS, the high risk of IS, and healthy individuals and to profile the relationship between microbiota and IS prognosis.MethodsThis observational study recruited three groups: IS, high-risk IS (HRIS), and healthy control (HC) individuals. Clinical data and saliva were collected from participants. The modified Rankin scale score after 90 days was used to assess the prognosis of stroke. Extracted DNA from saliva and performed 16S ribosomal ribonucleic acid (rRNA) gene amplicon sequencing. Sequence data were analyzed using QIIME2 and R packages to evaluate the association between the oral microbiome and stroke.ResultsA total of 146 subjects were enrolled in this study according to the inclusion criteria. Compared with HC, HRIS and IS demonstrated a progressive increase trend in Chao1, observed species richness, and Shannon and Simpson diversity index. On the basis of permutational multivariate analysis of variance, the data indicate a great variation in the saliva microbiota composition between HC and HRIS (F = 2.40, P < 0.001), HC and IS (F = 5.07, P < 0.001), and HRIS and IS (F = 2.79, P < 0.001). The relative abundance of g_Streptococcus, g_Prevotella, g_Veillonella, g_Fusobacterium, and g_Treponema was higher in HRIS and IS compared with that in HC. Furthermore, we constructed the predictive model by differential genera to effectively distinguish patients with IS with poor 90-day prognoses from those with good (area under the curve = 79.7%; 95% CI, 64.41%–94.97%; p < 0.01).DiscussionIn summary, the oral salivary microbiome of HRIS and IS subjects have a higher diversity, and the differential bacteria have some predictive value for the severity and prognosis of IS. Oral microbiota may be used as potential biomarkers in patients with IS

    BGM-Net: Boundary-Guided Multiscale Network for Breast Lesion Segmentation in Ultrasound.

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    Automatic and accurate segmentation of breast lesion regions from ultrasonography is an essential step for ultrasound-guided diagnosis and treatment. However, developing a desirable segmentation method is very difficult due to strong imaging artifacts e.g., speckle noise, low contrast and intensity inhomogeneity, in breast ultrasound images. To solve this problem, this paper proposes a novel boundary-guided multiscale network (BGM-Net) to boost the performance of breast lesion segmentation from ultrasound images based on the feature pyramid network (FPN). First, we develop a boundary-guided feature enhancement (BGFE) module to enhance the feature map for each FPN layer by learning a boundary map of breast lesion regions. The BGFE module improves the boundary detection capability of the FPN framework so that weak boundaries in ambiguous regions can be correctly identified. Second, we design a multiscale scheme to leverage the information from different image scales in order to tackle ultrasound artifacts. Specifically, we downsample each testing image into a coarse counterpart, and both the testing image and its coarse counterpart are input into BGM-Net to predict a fine and a coarse segmentation maps, respectively. The segmentation result is then produced by fusing the fine and the coarse segmentation maps so that breast lesion regions are accurately segmented from ultrasound images and false detections are effectively removed attributing to boundary feature enhancement and multiscale image information. We validate the performance of the proposed approach on two challenging breast ultrasound datasets, and experimental results demonstrate that our approach outperforms state-of-the-art methods
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