Using the 2004 General Social Survey, I illuminate how dispositional optimism as a form of emotional capital enhances personal network range while also contributing to public goods through the formation of heterophilous ties. Network size and diversity are conceptualized as outcomes of optimistic functioning, which is marked by sociability, positive emotion, and problem-focused coping. I find that optimism is linked to substantial leverage in overall, non-kin, and extended network sizes on par with several years of education. Moreover, optimism yields more types of network heterophily than does educational attainment. I discuss limitations of the current study while also identifying future directions for research on emotional capital in the creation of social capital.

京都大学 / 0048 / 新制・論文博士 / 博士(医学) / 乙第13259号 / 論医博第2177号 / 新制||医||1037(附属図書館) / (主査)教授 横出 正之, 教授 富樫 かおり, 教授 湊谷 謙司 / 学位規則第4条第2項該当 / Doctor of Medical Science / Kyoto University / DFAM

Most research on employment gender inequality focuses on differences between men and women, reinforcing a binary conception of gender. This study uses the National Transgender Discrimination Survey to evaluate the employment outcomes of nonbinary transgender people (those who identify as a gender other than man or woman). The results of this study suggest that being out as a nonbinary transgender person negatively affects nonbinary transgender people's employment outcomes. Though all transgender people have higher unemployment rates than the general population, outness has different effects on nonbinary transgender people based on sex assigned at birth, with those assigned male at birth tending to be discriminated against in hiring but those assigned female at birth more likely to experience differential treatment once hired. Race also contributes to differential treatment in the workplace. In an additional comparison between all transgender groups, I find that transgender women tend to have worse employment experiences than nonbinary transgender people and transgender men, the latter two tending to have similar outcomes.

To explain the gender wage growth gap, sociologists tend to focus on gender segregation among/within jobs whereas economists put emphasis on individual job mobility. This study adopted a concept combining both segregation and mobility. The concept helps to take the gender segregation before and after job mobility into account to strictly measure the mechanisms of wage growth. For analysis, this study used 6-year personnel data of a firm, which allows researchers to track employees’ job mobility, wages, and job information at the most accurate level. The concept of combining segregation and mobility was operated through the gender composition of jobs and employee job change, which generated ten patterns. Among them, the following six were focused: staying in male or female jobs, movement between male or female jobs, and movement toward male or female jobs. While controlling wages at prior jobs, the multilevel model analysis shows that the wage growth rates in the six mobility patterns were stratified as follows: mobility between male jobs, stay in male jobs, mobility toward male jobs, mobility toward female jobs, mobility between female jobs, and stay in female jobs. This hierarchy system in the organization reveals two features: first, men’s job-related mobility or stay compensated more steeply than women’s job-related mobility or stay. Second, within each gender category of jobs, the mobility provided higher wage growth than stay. In sum, the gender category of jobs proceeded job mobility in terms of wage growth. Interestingly, when paying attention to the higher wage growth of ‘mobility toward female jobs’ than ‘mobility between female jobs’, this implies that the former occurred in movement from lower-level male jobs to higher-level female jobs, particularly higher than female jobs involved in the latter mobility. In view of gender regarding job mobility patterns, women and men typically did not experience differentiated salary growth. The categories of job mobility used in this paper provide a new and integrated insight for scholars who study gender segregation and job mobility, especially in view of an organization.

It is well-documented that adolescents tend to befriend those who share demographic characteristics like gender. Less clear is how culture connects to these homogeneous relationships. This study examines the effects of gender-typed behavior on adolescent friendships at dyadic and school levels. The friendship network data are drawn from the well-known wave 1 ‘saturation school’ component of the National Longitudinal Study of Adolescent to Adult Health. I show that adolescents tend to befriend those who share similar gender-typed behavior, above and beyond simple demographic affiliation. Also, when students in particular schools exhibit more heterogeneous gender-typed behavior, the expression of gender-typed behavior homophily within schools becomes stronger, whereas gender homophily declines. The results support previous research showing cultural dispositions shape network patterns, but also provides evidence of contextual network formation processes.

The PI3-kinase/AKT/mTOR pathway plays a central role in cancer signaling. While p110α is the catalytic α-subunit of PI3-kinase and a major drug target, PTEN is the main negative regulator of the PI3-kinase/AKT/mTOR pathway. PTEN and p110α protein expression in tumors is commonly analyzed by immunohistochemistry, which suffers from poor multiplexing capacity, poor standardization, and antibody cross-reactivity, and which provides only semi-quantitative data. Here, we present an automated, and standardized immuno-matrix-assisted laser desorption/ionization mass spectrometry (iMALDI) assay that allows precise and multiplexed quantitation of PTEN and p110α concentrations, without the limitations of immunohistochemistry. IMALDI, which combines immuno-enrichment with analysis using a benchtop MALDI-Time-of-Flight (TOF) mass spectrometer, is an especially well-suited method for translating mass-spectrometry based assays into the clinical lab. We systematically optimized the iMALDI workflow regarding sensitivity, robustness, and throughput while developing highly flexible automation protocols using a Bravo 96LT liquid handling robot. We further developed custom R scripts to improve data visualization and analysis. One hour digestion using a protein to trypsin ratio of 1:2, followed by direct immuno-enrichment for 1 h yielded high and consistent peptide recoveries. We demonstrated that the PTEN and p110α iMALDI assays can be multiplexed using both simultaneous and sequential enrichment, reducing the amount of required sample material as well as simplifying the workflow. The PTEN+p110α iMALDI assay was validated and demonstrated high accuracy for both target proteins (90-112% recovery of known spiked-in concentrations) as well as high precision and 5-day reproducibility (overall CVs of 9%) across the linear range of the assay (0.6 to 20 fmol). Lower limits of quantitation below 1 fmol were achieved. Endogenous PTEN and p110α were quantified in cell lines as well as fresh-frozen tumor tissue samples. A novel two-point internal calibration strategy (2-PIC) was developed, based on spiking two peptide isotopologues into the sample as internal standards, avoiding the need for an external calibration. We quantified endogenous PTEN in a Colo-205 cell line using the PTEN iMALDI assay, as well an orthogonal PTEN immuno-multiple reaction monitoring (immuno-MRM) method to demonstrate this technique. Excellent agreement was shown between both calibration approaches (residual standard deviation between 2-PIC and external calibration of 1.6-5.8%), as well as high correlation between PTEN iMALDI and PTEN immuno-MRM (R²= 0.9966) and good agreement between quantified amounts (0.48±0.01 and 0.29±0.02 fmol/µg of total protein). Finally, we analysed a set of patient samples from a AKT inhibitor AZD5363 drug trial using a multi-site workflow combining the developed PTEN+p110α assay with established AKT1+AKT2 iMALDI assays and untargeted proteomics. We demonstrated how the combination of targeted and untargeted proteomics approaches may be used to gain novel insights into the tumor biology of patient tissue samples. Further, we showed that the PTEN iMALDI assay has good correlation with a comparable immunohistochemistry method (R²=0.86), and that our assays can be further multiplexed, reducing the required amount sample material. Thus, we showed that iMALDI is promising tool for biomarker quantitation. / Graduate / 2022-08-12

Un modèle de sous-maille pour la simulation aux grandes échelles de la combustion turbulente, basé sur le filtrage de flammes laminaires est présenté. Le formalisme repose sur une fonction de densité de probabilité (PDF) présumée construite à partir du filtrage de flammes laminaires 1D et sur une chimie tabulée. La taille de filtre LES appliqué à la combustion n'est pas fixée dans cette nouvelle approche mais est déterminée en fonction du niveau local de fluctuations de sous-maille. Le modèle a été validé sur des flammes laminaires 1D filtrées, sur des flammes de bec Bunsen et sur une configuration 3D turbulente avec la LES d'un brûleur à swirl. La comparaison de la simulation avec l'expérience en prémélangé et en stratifié est pleinement satisfaisante confirmant l'intérêt du nouveau modèle. Les échelles spatiales associées à la stratification sont trouvées grandes devant celles associées à la flamme (épaisseurs de zone de réaction et thermique) dont la propagation reste quasi-homogène. / A sub-grid scale closure for Large Eddy Simulation (LES) of turbulent combustion, based on physical space filtering of laminar flames is presented. The proposed formalism relies on a presumed probability density function (PDF) derived from the filtered laminar flames and flamelet tabulated chemistry. The combustion LES filter size is not fixed in this novel approach when sub-grid scale wrinkling occurs, but calibrated depending on the local level of unresolved scalar fluctuations. The model was validated by simulating 1D filtered laminar flames and 2D Bunsen flames. Subsequently, the model was tested on a 3D turbulent scenario by performing LES of the premixed and stratified configurations of the Cambridge swirl burner, experimentally studied by Sweeney and co-workers. Comparison of simulation and experiments for both the premixed and stratified configurations showed good agreement emphasizing the model characteristiscs. Instantaneous and time averaged LES data were analyzed to extract

Semi-supervised self-learning algorithms have been shown to improve classifier accuracy under a variety of conditions. In this thesis, semi-supervised self-learning using ensembles of random forests and fuzzy c-means clustering similarity was applied to three data sets to show where improvement is possible over random forests alone. Two of the data sets are emulations of large simulations in which the data may be distributed. Additionally, the ratio of majority to minority class examples in the training set was altered to examine the effect of training set bias on performance when applying the semi-supervised algorithm.

As a result of apartheid and ethnocentric structures in South Africa and Cape Town, the unemployment is highest among the black youth. The purpose of this study is to examine how the black youth are experiencing their possibilities to get a job. This qualitative study was conducted among black youths at the age of 18-34 living in Cape Town. The theoretical framework chosen for this study was habitus and capital, social position, intersectionality and social stratification. Focus has been on how habitus and intersectionality plays a part in how black youths experience their possibilities of getting a job and how their experiences can be related to structural aspects in South Africa. The respondents differ in terms of background and individual experiences, but they all seem to unite in the experience of Cape Town’s labor market as racist and difficult to get job at as a young black individual. The study shows that their skin color is the most distinct trait that are being evaluated on the labor market, whereby it further seems that the darker skin, the harder to get a job. What separates the respondents experiences is mainly dependent on their socioeconomic background and the area of their upbringing, whereby the respondents from poorer areas has experienced the challenge to get a job much harder. On a structural level there’s a general problem according to the respondents experiences with informal recruitment, exploitation and especially discrimination of the black youth. Furthermore, contacts seems to be crucial for getting a job, which seems to be upheld by the mentality of "looking after one's own people". Overall there are several aspects on both individual and structural level that affect black youths experience of getting a job in Cape Town.

In January 2018 a new social law took effect in Sweden. The new law included gambling addiction as an area of responsibility for the Swedish social workers. Because the law is relatively new there is not a lot of studies about how the Swedish workers perceive gambling addiction. The aim of this study is therefore to understand how the social workers from different communes in Sweden perceive gambling addiction, and to find out if implementation of the law has succeeded and what the amendment has brought. The methods used in this study was qualitative e-mail interviews and a qualitative interview via Zoom. The results of this study showed that the social workers have a lack of knowledge concerning gambling addiction. Another result was that the communes had implemented the new law by offering treatments and financial support.