629 research outputs found

    WSN-Based Near Real-Time Environmental Monitoring for Shelf Life Prediction Through Data Processing to Improve Food Safety and Certification

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    This position paper aims to support a control technique in the perishables goods supply-chain through a combination of near real-time wireless sensor network (WSN) for environmental monitoring and further data processing to predict the shelf life of the product. This approach returns a low cost, versatile and efficient tool that can significantly improve the safety and food certification through the organoleptic qualities control using three different sensors, i.e. temperature, light and humidity. In this article, therefore, the advantages of the proposed technique are explained and a case study is presented to support this approach, as well as an example of processing algorithm for shelf life evaluation

    Building intersubjectivity in blended problem-solving tasks

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    This paper aims to shed light on the process of building intersubjectivity between student-student dyads in a blended educational context. Three girls and five boys, 17 to 18 years old, participated in two types of problem-solving tasks. They formed four dyads and were required to negotiate aloud what to post in a web-forum. Dyads were video recorded, with eight sessions in total. The same pairs participated in both tasks. We are interested in understanding how the intersubjective processes were affected by the tasks and by the dyads. The two tasks differ concerning the structure of the problems. The first task was based on two short papers – one pro and other con – referring to a problem close to students' real life: the use of digital devices in class. The second problem was based on perspective-taking: dyads were required to imagine “How would the school of the future look in 20 years.” Data were analysed through a purpose-built codebook, comprising five macro-categories and 21 subcategories. Altogether, our results indicate an effect of both the type of task and of dyads' specific style of interaction. Nevertheless, a five-step process featuring intersubjectivity was found. Practical implications for teachers and educators are highlighted

    Blending academic and professional learning in a university course for future e-learning specialists: The perspective of company tutors

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    Blended learning usually refers to the combination of online/offline instructional methods. In this paper, we describe a university course in “E-learning Psychology” designed to blend not only modes of teaching, tools, and media, but also learning contexts; specifically, academic and professional contexts. To achieve an effective blend of learning contexts, students were monitored by academic and company tutors through an instant messaging app (WhatsApp). The unique contribution of the company tutor to the blending of academic and professional contexts is explored. By qualitatively analyzing (i) process data (four WhatsApp log chats) and (ii) self-report data (interviews with six company tutors), we found that the company tutor contributed to both the traditional blended dimension (mixing online and offline) and to the blend of the academic and professional contexts. When company tutors participated in the chat, students moved from an organizational dynamic, featuring chats monitored by only the academic tutor, toward a more collaborative and reflective dynamic. The company tutors considered the opportunity to blend academic and professional contexts as the best aspect of the course for both themselves as educators/company representatives, and for the students. This paper offers insights into the ongoing discussion about what blended is—or should be—and the role of company tutors in blending educational contexts

    Involvement of vascular endothelial growth factor in schizophrenia

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    Vascular endothelial growth factor (VEGF), which acts as an angiogenic and neurotrophic factor, is involved the regulation of cerebral blood volume and flow in Schizophrenia (SCZ). Several evidence indicates that modification of brain blood circulation due to alterations in the VEGF system affects cognitive performance and brain function in patients with SCZ. The aim of this study is: 1) To analyze the literature data concerning the role of VEGF in modulating the angiogenic response in SCZ. These data are controversial because some studies found elevated VEGF serum levels of VEGF in patients with SCZ, whereas others demonstrated no significant differences between SCZ patients and controls. 2)To analyze the role of VEGF as a predictive factor on the effects of antipsychotics agents used in the treatment of SCZ. In this context, high VEGF levels, associated to better responses to antipsychotics, might be predictive of the use of first generation antipsycotic drugs, whereas low VEGF levels, expression of resistance to therapy, might be predictive for the use of second generation antipsycotic drugs

    STAT3, tumor microenvironment, and microvessel density in diffuse large B cell lymphomas

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    Constitutively activated STAT3 is correlated with more advanced clinical stage and overall poor survival of diffuse large B-cell lymphoma (DLBCL). The aim of this study was to evaluate STAT3 and Ki67 tumor cell expression, inflammatory cell infiltration, microvascular density in DLBCL bioptic specimens. RNA-scope showed that activated B cell (ABC) tissue samples contained a significant higher number of STAT3+ cells as compared to germinal center B (GCB) tissue samples. Immunohistochemical analysis showed a significant increased levels of CD3, CD8, CD68, CD163, CD34, and Ki67 positive cells in ABC patients. A positive correlation between STAT3 and CD3, CD8, CD68, and CD163 was evidenced in ABC group. In ABC group, we found also a positive correlation between CD8 and CD34 and a positive correlation between Ki67 and, CD68, and CD163. These data indicate that in ABC—as compared to GCB-DLBCL, a higher STAT3 expression is associated with a higher CD163+ TAM and CD8+ cell infiltration which induces a strong angiogenic response

    PB2064 USE OF RNASCOPE TECHNOLOGY TO DETERMINE STAT-3 EXPRESSION IN HUMAN DIFFUSE LARGE B-CELL LYMPHOMA

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    Diffuse large B-cell lymphoma (DLBCL) is the most common and one of the most heterogeneous lymphomas. Therefore, it is critical to further stratify cases of DLBCL into biologically similar and clinically meaningful subgroups, which will not only guide prognostic assessment and facilitate therapeutic decisions, but also stimulate further research to understand the pathogenesis and develop potential novel treatments. Signal transducer and activator of transcription 3 (STAT3) is a transcription factor that exerts important biological functions related to cell proliferation, differentiation, survival, angiogenesis and immune response

    Discontinuous Transition from a Real Bound State to Virtual Bound State in a Mixed-Valence State of SmS

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    Golden SmS is a paramagnetic, mixed-valence system with a pseudogap. With increasing pressure across a critical pressure Pc, the system undergoes a discontinuous transition into a metallic, anti-ferromagnetically ordered state. By using a combination of thermodynamic, transport, and magnetic measurements, we show that the pseudogap results from the formation of a local bound state with spin singlet. We further argue that the transition Pc is regarded as a transition from an insulating electron-hole gas to a Kondo metal, i.e., from a spatially bound state to a Kondo virtually bound state between 4f and conduction electrons.Comment: 5 pages, 5 figure

    Dp71 expression in human glioblastoma

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    Background: Dp71 is the most abundant dystrophin (DMD) gene product in the nervous system. Mutation in the Dp71 coding region is associated with cognitive disturbances in Duchenne muscular dystrophy (DMD) patients, but the function of dystrophin Dp71 in tumor progression remains to be established. This study investigated Dp71 expression in glioblastoma, the most common and aggressive primary tumor of the central nervous system (CNS). Methods: Dp71 expression was analyzed by immunofluorescence, immunohistochemistry, RT-PCR, and immunoblotting in glioblastoma cell lines and cells isolated from human glioblastoma multiforme (GBM) bioptic specimens. Results: Dp71 isoform was expressed in normal human astrocytes (NHA) cell lines and decreased in glioblastoma cell lines and cells isolated from human glioblastoma multiforme bioptic specimens. Moreover, Dp71 was localized in the nucleus in normal cells, while it was localized into the cytoplasm of glioblastoma cells organized in clusters. We have shown, by double labeling, that Dp71 colocalizes with lamin B in normal astrocytes cells, confirming the roles of Dp71 and lamin B in maintaining nuclear architecture. Finally, we demonstrated that decreased Dp71 protein in cells isolated from human bioptic specimens was inversely correlated with the Ki-67 tumor proliferative index. Conclusion: A decreased Dp71 expression is associated with cancer proliferation and poor prognosis in glioblastoma
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