Analyzing the CEMS intrapreneurial level using the GET2 test

This thesis is mainly focused on the intrapreneurial level of CEMS students around the world. Organizations are seeking to hire people with an entrepreneurial personality. This means that companies are looking for someone with similar psychological traits as entrepreneurs who are capable of influence positively in firm’s innovation. Therefore, the research question is “What is the CEMS intrapreneurial level?” The contribution of this thesis is to check whether CEMS students have high intrapreneurship level or not. In order to find out, the General measure Enterprising Tendency (GET) test was sent to these students. The main finding is that CEMS students have score which can located them in the Medium range, meaning they have an average level of intrapreneurship. Thus, it is possible to raise awareness on the intrapreneurial potential that they can achieve. Furthermore, this thesis hopes to grow a concern on this topic so that universities give more emphasis on it.

氮离子注入GCr15钢的改性研究

本文用1、3、5和7 * 10~(17) ions/cm~2剂量的100keV ~(14)N~+注入GCr15钢样品以提高其表石耐磨性，通过磨粒磨损实验作出各种剂量下钢样表石的磨损曲线，定出有显著耐磨性的起始注入剂量。利用CEMS方法（自己建立）和X射线衍射对不同剂量的注入层内的相组织进行相对定量（含铁相）和定性分析，并进行表石硬度测试，对耐磨性提高的机理进行探讨

N~+离子注入GCr15轴承钢和钝铁的温度效应

本文研究在不同注入温度(50 ℃ - 350 ℃)下的~+N离子注入GCr15 (1at%C, 1.5at%Cr, 0.3at%Mn, 0.2at%Si)轴承刚和纯铁(99.99at%Fe)，注入剂量：5 * 10~(17) N~+·cm~(-2)。运用~(14)N(d,d_1)~(12)C带电粒子核反应(NRA)测量氮的总保留量及深度公布；内转换电子穆斯堡乐谱(CEMS)测定铁的化学态，并用x射线衍射分析进一步加以验证；最后用磨损实验检验磨损效果，寻找对研究的两种材料的一个最佳注入温度。对GCr15钢，低温（小于100 ℃）注入比350 ℃注入更有利于提高钢的耐磨性，这是由于50 ℃注入，氮间隙原子浓度高，且形成了Fe_2N相。高于150 ℃注入时，N~+离子前移，N~+离子保留量下降，Fe_2N相消失，而Fe_2N相的产生对提高耐磨性起重要作用。对纯铁，50 ℃注入时也形成了ε－Fe_2N相，在高于150 ℃注入时，此相消失，半生新相γ－Fe_4N。但在350 ℃时，GCr15钢与纯铁都形成了Fe_3O_4相，这对改性是极为不利的，所以建议，对GCr15钢和纯铁，不宜在350 ℃时注入

非晶态合金的表面辐照效应研究

本工作用120Kev的He~+离子对非晶态Ni_(60)Nb_(40)、Fe_(40)Ni_(38)Mo_4B_(18)、Fe-Ni-B合金样品进行了辐照，辐照剂量为1.6、2.0、2.5，3.0 * 10~(18)/cm~2四种。借助X射线衍射扫描电子显微镜（SEM），内转换电子穆斯堡文谱（CEMS）等方法对辐照前后的样品进行了分析。X射线衍射结果表明在冷却靶的辐照条件下，样品辐照前后的非晶状态来改变，但辐照产生了原子的重排。SEM研究发现：表面发论的形成须一定的临界剂量对于Ni_(60)N_(240)，所需临界剂量最高；随剂量的增加，在所研究的剂量范围内，发论大小增大且来观察到表面发论的破裂与剥学；对不同组织的非晶合金，其发论程度稍有不同；辗压减药不影响材料的发论性质；表面结构的粗糙有助于降低发论程度；晶化样品，发论程度的显加剂。CEMS分析指出；辐照使结构的天度增加，有效的平均原子间距减小；因辐照导致原子的重新溶合使CSRO降低；随辐照首先的缺陷周围自旋取向及急进的应力源的变化。磁各向异性发生了变化

Conceptual Ecological Modelling of Sublittoral Rock Habitats to Inform Indicator Selection

The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.

Assessing the sensitivity of subtidal sedimentary habitats to pressures associated with marine activities. Phase 1 Report: Rationale and proposed ecological groupings for Level 5 biotopes against which sensitivity assessments would be best undertaken.

The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.

Gestión tecnológica hospitalaria : Un enfoque sistémico

Este texto contribuirá a que la institución de salud se organice y prepare la información necesaria para emprender el largo y tortuoso camino de la determinación de la razón costo/beneficio y de la acreditación. Además, podrá ser muy útil para los estudiantes de los programas de pregrado y posgrado de ingeniería biomédica que se quieran especializar en la gestión de tecnologías del equipamiento biomédico y la ingeniería clínica. También podrá ser usado como guía de referencia por personas que estén directamente vinculadas al sector de la salud en departamentos de mantenimiento, ingeniería clínica o de servicios hospitalarios.

Hydrophilic interaction chromatography–mass spectrometry for anionic metabolic profiling of urine from antibiotic-treated rats

Hydrophilic interaction chromatography–mass spectrometry (HILIC–MS) was used for anionic metabolic profiling of urine from antibiotic-treated rats to study microbial–host co-metabolism. Rats were treated with the antibiotics penicillin G and streptomycin sulfate for four or eight days and compared to a control group. Urine samples were collected at day zero, four and eight, and analyzed by HILIC–MS. Multivariate data analysis was applied to the urinary metabolic profiles to identify biochemical variation between the treatment groups. Principal component analysis found a clear distinction between those animals receiving antibiotics and the control animals, with twenty-nine discriminatory compounds of which twenty were down-regulated and nine up-regulated upon treatment. In the treatment group receiving antibiotics for four days, a recovery effect was observed for seven compounds after cessation of antibiotic administration. Thirteen discriminatory compounds could be putatively identified based on their accurate mass, including aconitic acid, benzenediol sulfate, ferulic acid sulfate, hippuric acid, indoxyl sulfate, penicillin G, phenol and vanillin 4-sulfate. The rat urine samples had previously been analyzed by capillary electrophoresis (CE) with MS detection and proton nuclear magnetic resonance (1H NMR) spectroscopy. Using CE–MS and 1H NMR spectroscopy seventeen and twenty-five discriminatory compounds were found, respectively. Both hippuric acid and indoxyl sulfate were detected across all three platforms. Additionally, eight compounds were observed with both HILIC–MS and CE–MS. Overall, HILIC–MS appears to be highly complementary to CE–MS and 1H NMR spectroscopy, identifying additional compounds that discriminate the urine samples from antibiotic-treated and control rats.

Interculturalidade e diversidade cultural em grupos de estudo e trabalho na Europa

Estudos organizacionais

Efeitos biológicos dos campos eletromagnéticos de ultra alta freqüência

Vários estudos têm sugerido que seres vivos podem ser suscetíveis aos campos eletromagnéticos (CEMs). Os supostos efeitos dos Campos Eletromagnéticos de Ultra Alta Freqüência (CEMUAFs) em sistemas biológicos são pouco conhecidos. Os relatos de um possível efeito biológico dependente da alteração de estados de oxidação entre pares de radicais sugerem um mecanismo de transdução orgânica para os campos. Outros trabalhos obtiveram alterações na sinalização celular e defesas antioxidantes após a exposição CEMUAFs e, tais alterações, poderiam ser um agente causador de doenças como, por exemplo, a leucemia infantil, esta já correlacionada com a exposição aos CEMs. Desta forma o objetivo deste estudo foi investigar se o CEMUAF (834 MHz) poderia interferir com o balanço oxidativo de planárias e ratos, assim como, estudar a participação de enzimas responsáveis pela hidrólise de nucleotídeos, enzimas estas reconhecidas por serem influenciadas pela ação de radicais livres. As planárias foram expostas por 1, 3 e 6 dias (8 h/dia). Após a exposição foi feito um homogenato de todo o corpo de cada animal. Foi encontrado um aumento na atividade da superóxido desmutase (SOD) e um decréscimo na atividade da catalase (CAT) e na defesa antioxidante não-enzimática (TRAP) após 6 dias de exposição. Adicionalmente, houve um aumento na freqüência de micronúcleos (MN) após 3 e 6 dias de exposição. Não houve alteração nos parâmetros de dano oxidativo a lipídios (TBARS) e proteínas (Carbonil) em nenhum dos tempos de exposição. Estes resultados sugerem um aumento nos níveis de radicais livres e de danos aos ácidos nucléicos. Estudos posteriores deverão determinar se estes efeitos apresentam ou não associações do tipo causa e efeito. Foram utilizados três modelos com ratos. No primeiro modelo, animais com idades de 30, 80 e 210 dias foram expostos por 6 dias (7:30 h/dia). Não foram encontradas mudanças nos parâmetros de TRAP, TBARS e Carbonil em nenhuma das idades expostas ao CEMUAF. Estes resultados sugerem que os tempos de exposição utilizados não foram suficientes para causar alguma mudança perceptível nos parâmetros de estresse oxidativo. No segundo modelo, utilizou-se o sangue e fígado dos neonatos expostos ao CEMUAF ainda no útero de suas mães durante todo o seu desenvolvimento embrionário (8:30 h/dia). Não foram encontradas mudanças em nenhum parâmetro oxidativo. Foi encontrado um aumento na freqüência de MN nas hemácias, sugerindo um efeito genotóxico da irradiação do celular afetando o tecido hematopoiético dos fetos. No terceiro modelo, utilizou-se o sangue de ratos adultos (180 dias) expostos por 12 dias (8:30 h/dia). Os níveis da hidrólise de ATP e ADP estavam aumentados no grupo irradiado. Nenhum efeito foi observado nas atividades da SOD e da CAT, sugerindo nenhuma participação de radicais livres nestes resultados. Ainda são necessários muitíssimos estudos para determinar quais os mecanismos transdutores dos CEMUAFs em sistemas biológicos e de que forma esta interação ocorre, porém estes resultados sugerem: (a) um papel para os radicais livres sobre, pelo menos, alguns dos efeitos atribuídos aos CEMUAFs e (b) que os organismos em fase de formação podem ser mais sensíveis aos campos. Por fim, sugerimos que sistemas biológicos podem sofrer a ação da irradiação com uma quantidade de energia muito menor do que a esperada para promover algum efeito no metabolismo.

Plasma nitriding of sintered AISI 316L at several temperatures

Samples of sintered AISI 316L stainless steel were plasma nitrided in a mixture of H-2-20% N-2, for 3 or 4 h. The treatment temperature was selected in 400-550 degreesC interval, in steps of 50 degreesC. X-ray diffraction (glancing angle geometry-GAXRD), conversion electron Mossbauer spectroscopy (CEMS), optical microscopy and Vickers microhardness were used as analytical techniques. For T greater than or equal to 500 degreesC and t = 4 h, a 40-mum layer is formed. The GAXRD results showed a transformation of the austenite gamma phase to the martensite in the sinterization process and showed as well, that the gamma' (Fe4N) phase is the predominant nitride besides small amounts of epsilon-Fe2N, gamma(N) CrN, Cr2O3 and the fcc nitrogen supersatured solid phase gamma(N). The CrN phase seems to decrease with temperature while the gamma(N) phase fraction is almost less than or equal to10%, independently on the temperature. The CEMS results indicated that while the gamma(N) fraction decreases with temperature of plasma nitriding, the gamma' fraction increases proportionally. (C) 2003 Elsevier B.V. All rights reserved.

Sobre a identidade do Centro de Educação Matemática (CEM): acidentes de uma leitura cartesiana

In this paper we present results of research conducted on the constitution of the identity of CEM (Centre for Mathematics Education), a group of mathematics teacher educators from the city of São Paulo, Brazil (1984-1997). We emphasize the processes of constitution of CEM’s identities, on the perspective of Oral History in Mathematics Education, of the Model of Semantic Fields and of theories of identities. As part of the broader endeavor of examining possibilities for constituting identities for the group, from several theoretical standpoints, here we report an exercise on constituting the identity of CEM from a Cartesian standpoint; the overall assumption is that we are not properly interested in what CEM is or was, but on the possibilities themselves. We argue that such analysis leads to an understanding of the group as being an accident involving the individual identities of its members but not to an understanding of CEM’s group identity as such.

Application of Mossbauer spectroscopy to the study of corrosion resistance in NaCl solution of plasma nitrided AISI 316L stainless steel

Corrosion research in steels is one of the areas in which Mossbauer spectroscopy has become a required analytical technique, since it is a powerful tool for both identifying and quantifying distinctive phases (which contain Fe) with accuracy. In this manuscript, this technique was used to the study of corrosion resistance of plasma nitrided AISI 316L samples in the presence of chloride anions. Plasma nitriding has been carried out using dc glow-discharge, nitriding treatments, in medium of 80 vol.% H-2 and 20 vol.% N-2, at 673 K, and at different time intervals: 2, 4, and 7 h. Treated samples were characterized by means of phase composition and morphological analysis, and electrochemical tests in NaCl aerated solution in order to investigate the influence of treatment time on the microstructure and the corrosion resistance, proved by conversion electron Mossbauer spectroscopy (CEMS), glancing angle X-ray diffraction (GAXRD), scanning electron microscopy (SEM) and potentiodynamic polarization. A modified layer of about 8 gin was observed for all the nitrided samples, independently of the nitriding time. A metastable phase, S phase or gamma(N), was produced. It seems to be correlated with gamma`-Fe-4 N phase. If the gamma(N) fraction decreases, the gamma` fraction increases. The gamma(N) magnetic nature was analyzed. When the nitriding time increases, the results indicate that there is a significant reduction in the relative fraction of the magnetic gamma(N) (in) phase. In contrast, the paramagnetic gamma(N) (p) phase increases. The GAXRD analysis confirms the Mossbauer results, and it also indicates CrN traces for the sample nitrided for 7 h. Corrosion results demonstrate that time in the plasma nitriding treatment plays an important role for the corrosion resistance. The sample treated for 4 h showed the best result of corrosion resistance. It seems that the epsilon/gamma` fraction ratio plays an important role in thin corrosion resistance since this sample shows the maximum value for this ratio. (c) 2008 Published by Elsevier B.V.