Silicon Sensors implemented on p-type substrates for high radiation resistance applications

Silicon based micropattern detectors are essential elements of modern high energy physics experiments. Cost effectiveness and high radiation resistance are two important requirements for technologies to be used in inner tracking devices. Processes based on p-type substrates have very strong appeal for these applications. Recent results and prototype efforts under way are reviewed.Comment: 7 pages, 2 figures; invited paper at Vertex 2006, Perugia, Italy, september 200

Relações entre clima de equipe e satisfação no trabalho na Estratégia Saúde da Família

OBJECTIVE To analyze the association between team climate, team characteristics and satisfaction at work in teams of the Estratégia Saúde da Família com Saúde Bucal (Family Health Strategy with Oral Health) (ESF with SB). METHODS Cross-sectional correlational study with ESF teams with SB in the municipality of São Paulo. Universe of 1,328 teams and random sample of 124 teams with 1,231 professionals. Applied questionnaire with data teams’ characterization, team climate scale, and satisfaction at work. Analysis of validity, of climate and satisfaction scores through mean among professionals in each team, cluster analysis, association between variables by Pearson’s correlation and Chi-square, and tested linear regression model for the two factors of satisfaction at work. RESULTS There was a directly proportional association between team climate and satisfaction at work. The better the climate with regard to team goals, the greater the intrinsic satisfaction at work and with the physical environment. The better the climate with regard to team goals and task orientation, the greater the satisfaction with hierarchical relations. The group with best team climate reported higher percentage of teams ranked with better satisfaction at work, and in the group with the worst team climate there was higher percentage of teams with the lowest satisfaction at work. CONCLUSIONS The study provides consistent although moderate evidence of association between favorable teamwork climate and job satisfaction in ESF with SB. It emphasizes the dimensions of climate, common goals and task orientation, and may serve as subsidy for management and permanent education of teams, aiming at the quality of care to the health needs of users, family and community in APS.OBJETIVO Analisar associação entre clima de equipe, características das equipes e satisfação no trabalho em equipes da Estratégia Saúde da Família com Saúde Bucal (ESF com SB). MÉTODOS Correlacional transversal com equipes da ESF com SB no município de São Paulo. Universo de 1.328 equipes e amostra aleatória de 124 equipes com 1.231 profissionais. Aplicado questionário com dados de caracterização das equipes, escala de clima de equipe e de satisfação no trabalho. Realizada análise de validade, dos escores de clima e satisfação via média dos profissionais de cada equipe, análise de agrupamentos, associação entre variáveis pela correlação de Pearson e Qui-Quadrado e testado modelo de regressão linear para os dois fatores de satisfação no trabalho. RESULTADOS Verificou-se associação diretamente proporcional entre clima de equipe e satisfação no trabalho. Quanto maior clima com relação a objetivos da equipe, maior satisfação intrínseca no trabalho e com ambiente físico, quanto maior clima com relação a objetivos da equipe e orientação para as tarefas, maior satisfação com as relações hierárquicas. Verificou-se no grupo com melhor clima de equipe, maior porcentagem de equipes classificadas com melhor satisfação no trabalho e no grupo de pior clima de equipe, maior porcentagem de equipes com a mais baixa satisfação no trabalho. CONCLUSÕES O estudo traz evidências consistentes, embora moderadas, de associação entre clima favorável ao trabalho em equipe e satisfação no trabalho na ESF com SB, com destaque para as dimensões de clima, objetivos comuns e orientação para a tarefa, constituindo subsídio para a gestão e educação permanente das equipes, visando a qualidade da atenção às necessidades de saúde de usuários, família e comunidade na APS

Increase of poly(ADP-ribose) polymerase mRNA levels during TPA-induced differentiation of human lymphocytes

AbstractThe non-mitogenic stimulation of human peripheral blood mononuclear cells (PBMC) with low concentrations of the phorbol ester 12-O-tetradecanoylphorbol 13-acatate (TPA) caused a progressive increase in the percent fraction of the cells that were positive for the early activating antigen CD69. At the same time, it caused a progressive increase in the steady-state levels of poly(ADP-ribose) polymerase (pADPRP) transcripts. A further increase in TPA concentration, while inducing the maximal expression of the levels of CD69 activating surface antigen, both in the presence or in the absence of proliferative activity, did not evoke any additional hightening of pADPRP mRNA levels. Time course of PBMC stimulation with a non-mitogenic dose or TPA showed an early increase in the accumulation of pADPRP mRNA, which changed at 8-16 h. and remained high for several days thereafter. On the basis of these data, we suggest flat the increase in pADPRP mRNA may be associated with the commitment of human lymphocytes from a quiescent (G0) to an activated (G1) state

In Vitro Assessment of Factors Affecting the Apparent Diffusion Coefficient of Jurkat Cells Using Bio-phantoms

It is well known that many tumor tissues show lower apparent diffusion coefficient (ADC) values, and that several factors are involved in the reduction of ADC values. The aim of this study was to clarify how much each factor contributes to decreases in ADC values. We investigate the roles of cell density, extracellular space, intracellular factors, apoptosis and necrosis in ADC values using bio-phantoms. The ADC values of bio-phantoms, in which Jurkat cells were encapsulated by gellan gum, were measured by a 1.5-Tesla magnetic resonance imaging device with constant diffusion time of 30sec. Heating at 42℃ was used to induce apoptosis while heating at 48℃ was used to induce necrosis. Cell death after heating was evaluated by flow cytometric analysis and electron microscopy. The ADC values of bio-phantoms including non-heated cells decreased linearly with increases in cell density, and showed a steep decline when the distance between cells became less than 3μm. The analysis of ADC values of cells after destruction of cellular structures by sonication suggested that approximately two-thirds of the ADC values of cells originate from their cellular structures. The ADC values of bio-phantoms including necrotic cells increased while those including apoptotic cells decreased. This study quantitatively clarified the role of the cellular factors and the extracellular space in determining the ADC values produced by tumor cells. The intermediate diffusion time of 30msec might be optimal to distinguish between apoptosis and necrosis

Clusterin inhibition using OGX-011 synergistically enhances zoledronic acid activity in osteosarcoma

Purpose: Despite recent improvements in therapeutic management of osteosarcoma, ongoing challenges in improving the response to chemotherapy warrants new strategies still needed to improve overall patient survival. Among new therapeutic approaches, zoledronic acid (ZOL) represents a promising adjuvant molecule to chemotherapy to limit the osteolytic component of bone tumors. However, ZOL triggers the elevation of heat shock proteins (Hsp), including Hsp27 and clusterin (CLU), which could enhance tumor cell survival and treatment resistance. We hypothesized that targeting CLU using siRNA or the antisense drug, OGX-011, will suppress treatment-induced CLU induction and enhance ZOL-induced cell death in osteosarcoma (OS) cells. Methods: The combined effects of OGX-011 and ZOL were investigated in vitro on cell growth, viability, apoptosis and cell cycle repartition of ZOL-sensitive or -resistant human OS cell lines (SaOS2, U2OS, MG63 and MNNG/HOS). Results: In OS cell lines, ZOL increased levels of HSPs, especially CLU, in a dose- and time-dependent manner by mechanism including increased HSF1 transcription activity. The OS resistant cells to ZOL exhibited higher CLU expression level than the sensitive cells. Moreover, CLU overexpression protects OS sensitive cells to ZOL-induced cell death by modulating the MDR1 and farnesyl diphosphate synthase expression. OGX-011 suppressed treatment-induced increases in CLU and synergistically enhanced the activity of ZOL on cell growth and apoptosis. These biologic events were accompanied by decreased expression of HSPs, MDR1 and HSF1 transcriptional activity. In vivo, OGX-011, administered 3 times a week (IP, 20mg/kg), potentiated the effect of ZOL (s.c; 50µg/kg), significantly inhibiting tumor growth by 50% and prolonging survival in MNNG/HOS xenograft model compared to ZOL alone. Conclusion: These results indicate that ZOL-mediated induction of CLU can be attenuated by OGX-011, with synergistic effects on delaying progression of osteosarcoma

Nerve Growth Factor Promotes Gastric Tumorigenesis through Aberrant Cholinergic Signaling

Within the gastrointestinal stem cell niche, nerves help to regulate both normal and neoplastic stem cell dynamics. Here, we reveal the mechanisms underlying the cancer-nerve partnership. We find that Dclk1+ tuft cells and nerves are the main sources of acetylcholine (ACh) within the gastric mucosa. Cholinergic stimulation of the gastric epithelium induced nerve growth factor (NGF) expression, and in turn NGF overexpression within gastric epithelium expanded enteric nerves and promoted carcinogenesis. Ablation of Dclk1+ cells or blockade of NGF/Trk signaling inhibited epithelial proliferation and tumorigenesis in an ACh muscarinic receptor-3 (M3R)-dependent manner, in part through suppression of yes-associated protein (YAP) function. This feedforward ACh-NGF axis activates the gastric cancer niche and offers a compelling target for tumor treatment and prevention

Assessment of NER solutions against the first and second CALBC Silver Standard Corpus

Background Competitions in text mining have been used to measure the performance of automatic text processing solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is time-consuming and costly and the final corpus consists at the most of a few thousand documents annotated with a limited set of semantic groups. To overcome these shortcomings, the CALBC project partners (PPs) have produced a large-scale annotated biomedical corpus with four different semantic groups through the harmonisation of annotations from automatic text mining solutions, the first version of the Silver Standard Corpus (SSC-I). The four semantic groups are chemical entities and drugs (CHED), genes and proteins (PRGE), diseases and disorders (DISO) and species (SPE). This corpus has been used for the First CALBC Challenge asking the participants to annotate the corpus with their text processing solutions. Results All four PPs from the CALBC project and in addition, 12 challenge participants (CPs) contributed annotated data sets for an evaluation against the SSC-I. CPs could ignore the training data and deliver the annotations from their genuine annotation system, or could train a machine-learning approach on the provided pre-annotated data. In general, the performances of the annotation solutions were lower for entities from the categories CHED and PRGE in comparison to the identification of entities categorized as DISO and SPE. The best performance over all semantic groups were achieved from two annotation solutions that have been trained on the SSC-I. The data sets from participants were used to generate the harmonised Silver Standard Corpus II (SSC-II), if the participant did not make use of the annotated data set from the SSC-I for training purposes. The performances of the participants’ solutions were again measured against the SSC-II. The performances of the annotation solutions showed again better results for DISO and SPE in comparison to CHED and PRGE. Conclusions The SSC-I delivers a large set of annotations (1,121,705) for a large number of documents (100,000 Medline abstracts). The annotations cover four different semantic groups and are sufficiently homogeneous to be reproduced with a trained classifier leading to an average F-measure of 85%. Benchmarking the annotation solutions against the SSC-II leads to better performance for the CPs’ annotation solutions in comparison to the SSC-I