Rosetta Stone (United States)

the COVID-19 pandemic had important effects on people's health and socioeconomic conditions. Health surveillance systems fail to provide an adequate epidemiological profile of the pandemic in the recently immigrated population. In Piedmont and Emilia-Romagna Region (Northern Italy), a study was conducted in the public and private structures dedicated to the reception of migrants,Objectives: to evaluate the impact of the epidemic on the migrant population assisted in local reception centres. quantitative analysis based on data collected in reception centres; qualitative analysis which, through 10 focus groups and 35 interviews with operators and migrants, investigated the consequences of the pandemic, their mechanisms, and their explanations. users and operators of reception services for migrants in the cities of Turin (Piedmont) and Bologna (Emilia-Romagna). quantitative analysis: access to services, prevalence of diseases, prevalence of test positivity; qualitative analysis: spread of the virus, organization of services, perceived critical issues and needs, solutions adopted, information received, perceived impact on health, perceived impact on social determinants. a varied picture emerges. The few data available do not show a greater incidence and severity of the virus compared to the Italian population, despite strong elements of risk linked to precarious living and working conditions being reported. Reception services have implemented more flexible organizational methods, with effective prevention measures. The interruption of care pathways has led to the flare-up of previous pathologies, but getting in touch with services for the pandemic control has also allowed diagnosis and management of unknown diseases. Uncertainty, fear, social withdrawal, and crisis of the migratory project have increased mental disorders. in this scenario, close collaboration between public and third sector structures has proved fundamental and must be strengthened to overcome access barriers and make services more inclusive and equitable. It is also necessary to develop information systems capable of monitoring the health needs of this 'invisible' population.

Samen sterker voor de klas. Kan teamteaching de job van leerkracht aantrekkelijker maken en het tekort aan leerkrachten keren? Teamteaching klinkt als een veelbelovend onderwijsmodel. Tenminste, indien doelgericht toegepast en onder de juiste randvoorwaarden georganiseerd. In het onderzoeksproject ‘ESTAFETT’ willen we effecten van teamteaching voor leerlingen en leerkrachten onderzoeken en onderbouwen. Teamteaching houdt in dat twee of meer onderwijsprofessionals samen een les(senreeks) voorbereiden, uitvoeren en evalueren. Er zijn verschillende verschijningsvormen die kunnen worden geordend onder zeven teamteachmodellen. De keuze voor een specifiek model blijkt niet eenvoudig en hangt af van de vooropgestelde lesdoelen en de vastgestelde noden van leerlingen en leerkrachten. Het ESTAFETT-team ontwikkelde daarom een beslisboom voor teamteachmodellen. Dit gebeurde via een iteratief ontwerpproces en op basis van verschillende ontwerpprincipes. Deze beslisboom is bedoeld om gesprekken en reflectie over de lespraktijk tussen de teamteachers te bevorderen. Uit evaluatie onder 55 leerkrachten uit zowel kleuter-, lager (primair) als secundair (voortgezet) onderwijs blijkt dat de beslisboom houvast biedt aan startende teamteachers om hun lespraktijk doelgericht vorm te geven. Ook is het een geschikte methodiek om student-leerkrachten te laten kennismaken met teamteaching en ermee te experimenteren. Door gerichte keuze voor en toepassing van teamteachmodellen geldt: de mix is de max. Zo kan doelgerichte teamteaching bijdragen aan de versterking van leerlingen en leerkrachten, en effectief een hefboom zijn voor kwaliteitsvol onderwijs.

Simple SummaryLeptomeningeal metastasis (LM) is a terminal stage cancer manifestation to whole neuraxis via cerebrospinal fluid (CSF). Up to now, LM has no solid biomarkers for disease progression or treatment response. Extracellular vesicles (EVs) in biofluids have been recently studied to evaluate cancer diagnostics and prognostics. Here, we measured nanoparticles in human CSF from 472 patients with both Dynamic Light Scattering and Nanoparticle Tracking Analysis. We found that the size distribution and concentration of nanoparticles in LM-disseminating CSF were significantly different from those in non-LM CSF samples. Changes in EVs concentration showed a potential biomarker for the therapy response in patients undergoing intra-CSF chemotherapy. Our suggestion of combined biomarker of EVs concentration and onco-miR for LM chemotherapy could help physicians to perform this possible neurotoxic treatment with appropriate monitoring tools for the effectiveness.Leptomeningeal metastasis (LM) has a poor prognosis and is difficult to diagnose and predict the response of treatment. In this study, we suggested that the monitoring of changes in the concentration of extracellular vesicles in cerebrospinal fluid could help diagnose or predict outcomes for LM. We measured nanoparticles in 472 human cerebrospinal fluid (CSF) from patients including LM with both Dynamic Light Scattering (DLS) and Nanoparticle Tracking Analysis (NTA) after two-step centrifugations. NTA revealed that the concentration of CSF nanoparticles was significantly increased in LM compared to other groups (2.80 × 108 /mL vs. 1.49 × 108 /mL, p < 0.01). Changes in NTA-measured nanoparticles concentration after intra-CSF chemotherapy were further examined in 33 non-small cell lung cancer patients with LM. Overall survival was longer for patients with increased EV than the others (442 vs. 165 days, p < 0.001). Markers of extracellular vesicles (CD9/CD63/CD81) significantly decreased in the EV-decreased group. MicroRNA-21 expression decreased in this favorable prognostic group, whereas it increased in the EV-decreased group. In conclusion, the elevated concentration of extracellular vesicles in cerebrospinal fluid in patients with LM may be a predictive marker for survival duration. Moreover, EV changes combined with microRNA-21 might be a biomarker for monitoring the efficacy of intracranial chemotherapy of LM in non-small cell lung cancer patients.

Wie eine aktuelle BARC-Studie (BARC-Institut 2014) zeigt, ist „Datenvisualisierung das am haufigsten eingesetzte Analyseverfahren fur Big Data, gefolgt von Real-Time Reporting und Dashboards.“ Standardwerkzeuge fur BI (Business Intelligence) und Datenmanagement werden durch spezielle Big-Data-Datenmanagement- und Big-Data-Analytics-Losungen erganzt. Derzeit werden uberwiegend Standardwerkzeuge, etwa Standard-Relationale-Datenbank oder Standard-BI-Werkzeuge fur Big-Data-Analysen verwendet.

The Wnt signaling pathways play pivotal roles in carcinogenesis. Modulation of the cell-surface abundance of Wnt receptors is emerging as an important mechanism for regulating sensitivity to Wnt ligands. Endocytosis and degradation of the Wnt receptors Frizzled (Fzd) and lipoprotein-related protein 6 (LRP6) are regulated by the E3 ubiquitin ligases zinc and ring finger 3 (ZNRF3) and ring finger protein 43 (RNF43), which are disrupted in cancer. In a genome-wide small interfering RNA screen, we identified the deubiquitylase ubiquitin-specific protease 6 (USP6) as a potent activator of Wnt signaling. USP6 enhances Wnt signaling by deubiquitylating Fzds, thereby increasing their cell-surface abundance. Chromosomal translocations in nodular fasciitis result in USP6 overexpression, leading to transcriptional activation of the Wnt/β-catenin pathway. Inhibition of Wnt signaling using Dickkopf-1 (DKK1) or a Porcupine (PORCN) inhibitor significantly decreased the growth of USP6-driven xenograft tumors, indicating that Wnt signaling is a key target of USP6 during tumorigenesis. Our study defines an additional route to ectopic Wnt pathway activation in human disease, and identifies a potential approach to modulate Wnt signaling for therapeutic benefit.

Abstract Multi-stage/multi-cluster hydraulic fracturing in horizontal wellbores is a key technology driving the development of unconventional resources in North America. Several engineering technologies developed over the past decade are readily available for operators to help enhance production. The advantages of technology integration for creating multiple transverse fractures in horizontal wellbores have been well documented. Given the rapid pace of development, many operators strive to standardize completion programs to drive consistency and efficiency in operations and well performance. The key parameters that maximize production in unconventional reservoirs are not dissimilar to the key parameters proven successful time and again in conventional completion designs and fracturing treatments. Generating fracture complexity may be important in unconventional reservoirs, but maximum reservoir contact does not necessarily translate to an effectively stimulated reservoir. Fracture length, fracture conductivity and fracture spacing in multi-cluster/multi-stage completions are first-order parameters that can be engineered. However, additional completion and design considerations for unconventional wells such as natural fracture saturation, mid-field fracture complexity, mechanical fracture interaction and transverse fracture production interference must be considered to enhance production and maximize economics. This paper will focus on technology integration for the Wolfcamp A reservoir using a discrete fracture network (DFN) model for predicting fracture geometry, formation evaluation, oil and fluid tracers, microseismic monitoring and production history matching. The methodology includes: 1) utilization of current fundamental engineering principles and procedures for completion design, 2) simulator calibration to improve predictive models and 3) production history matching and forecasting. Application of this integrated technology approach will help provide the operator with a systematic approach for designing, analyzing, and optimizing multi-stage/multi-cluster transverse hydraulic fractures in horizontal wellbores. Readers of this paper will gain insight on how sound engineering, fracture modeling and data integration can increase recovery and optimize completions in the Wolfcamp formations. Those working in the Delaware and Midland basins can directly apply the principles presented in this paper to enhance the productivity and economics of their completions.

Asthma is an inflammatory disease that involves airway hyper-responsiveness and mucus hypersecretion. The LIM-only protein FHL2 is a crucial modulator of multiple signal transduction pathways and functions as a scaffold in specific protein-protein interactions. We sought to investigate the role of FHL2 in airway inflammation. Allergic airway inflammation was induced in WT and FHL2-knock out (FHL2-KO) mice with ovalbumin (OVA). Lung tissue, bronchoalveolar lavage fluid (BALF) and draining lymph node cells were analysed for inflammation. FHL2 loss and gain of function studies were performed in lung epithelial cells. FHL2-deficient mice challenged with OVA show significantly reduced airway inflammation as evidenced by reduced infiltration of inflammatory cells including eosinophils, dendritic cells, B cells and T cells. Furthermore, mucus production was decreased in FHL2-KO mice. In BALF, the levels of IL-5, IL-13, eotaxin-1 and eotaxin-2 were significantly lower in FHL2-KO mice. In addition, draining lymph node cells from FHL2-KO mice show reduced levels of IL-5 and IL-13. Consistent with this, OVA-specific serum IgG and IgE levels were reduced in FHL2-KO mice. We also found that phosphorylation of ERK1/2 is markedly attenuated in FHL2-KO lung. Knock-down of FHL2 in human lung epithelial cells resulted in a striking decrease in ERK1/2 phosphorylation and mRNA levels of inflammatory cytokines and MUC5AC, whereas FHL2 overexpression exhibited opposite effects. Finally, the SNP rs4851765 shows an association with the severity of bronchial hyper-responsiveness. These results highlight functional involvement of FHL2 in airway inflammation and identify FHL2 as a novel gene associated with asthma severity in human.