Miracle-dz/UniFAR-FTUs huggingface dataset:
Industrial relations at work : the Australian workplace industrial relations survey

This study updates a similar study by George W. Adams published by the Industrial Relations Centre at Queens University in 1978. Barnacle provides thorough but concise reviews of discipline/discharge theory and previous tudies of discharge arbitration. His primary contribution, however, is an analysis of over 800 discharge arbitrations from Ontario between 1983 and 1986. The 95 tables included in the book provide a detailed picture of discharge arbitration i Ontario. The survey examining post-reinstatement experiences i particularly informative, since there are relatively few studies of this nature in the literature. The employer and union responses to the survey showed that reinstatement of discharged employees was "generally successful with limited job-related problems. " Unfortunately, there are no statistical tests. The tables present descriptive statistics or bivariate breakdowns of means and cell frequencies. Without statistical tests, the reader is left to guess whether the patterns revealed are significant or due to random error. Furthermore, the high likelihood of correlations among explanatory variables suggests that multivariate statistical models should be employed before conclusions can be drawn from the analysis. Nevertheless, the wealth of descriptive information provided will be of interest o practitioners and students of discharge arbitration.
History of Depression as a Risk Factor for Dementia: An Updated Review

Objective: This review updates an earlier meta-analysis of the data on history of depression as a risk factor for dementia. It also considers the available evidence on the hypotheses proposed to explain the association between history of depression and dementia. Method: A meta-analysis was carried out on results from seven case-control and six prospective studies. A qualitative review was carried out on the evidence related to the hypotheses to explain the association. Results: The meta-analysis found evidence to support an association from both casecontrol studies (estimated relative risk 2.01; 95%% CI 1.16–3.50) and prospective studies (estimated relative risk 1.87; 95%% CI 1.09–3.20). However, the evidence did not clearly support any one hypothesis explaining the association. The most likely contenders are: (i) depression can be an early prodrome of dementia, (ii) depression brings forward the clinical manifestation of dementing diseases, and (iii) depression leads to damage to the hippocampus through a glucocorticoid cascade. Conclusions: The possibility that history of depression is a risk factor for dementia needs to be taken seriously and explanations of the association need to be further researched.
Do Female Faculty Influence Female Students' Educational and Labor Market Attainments?

This paper uses data from the National Longitudinal Study of the High School Class of 1972 to analyze whether the percentage of female faculty had an influence on female students' post-undergraduate educational and labor market outcomes. The results show a statistically significant positive association between the percentage of female faculty and the probability that female students would attain an advanced degree. Although the percentage of female faculty had no statistically significant direct effect on labor market earnings, having an advanced degree did have a large, positive impact on earnings.
Predicting CD4 T‐Cell Reconstitution Following Pediatric Hematopoietic Stem Cell Transplantation

Hematopoietic stem cell transplantation (HSCT) is an increasingly common treatment for children with a range of hematological disorders. Conditioning with cytotoxic chemotherapy and total body irradiation leaves patients severely immunocompromised. T‐cell reconstitution can take several years due to delayed restoration of thymic output. Understanding T‐cell reconstitution in children is complicated by normal immune system maturation, heterogeneous diagnoses, and sparse uneven sampling due to the long time spans involved. We describe here a mechanistic mathematical model for CD4 T‐cell immune reconstitution following pediatric transplantation. Including relevant biology and using mixed‐effects modeling allowed the factors affecting reconstitution to be identified. Bayesian predictions for the long‐term reconstitution trajectories of individual children were then obtained using early post‐transplant data. The model was developed using data from 288 children; its predictive ability validated on data from a further 75 children, with long‐term reconstitution predicted accurately in 81% of the patients.
Using the Comer Model to Educate Immigrant Children

I n the last 10 years, increasing numbers of immigrant students have entered public schools in the United States (Pereira, 1993). Lamberg (1996) reports that ”by 2010, according to federal estimates, 20% of school-aged children in this country will be children of recent immigrants” (p. 1455). An obvious byproduct of this trend is increasingly cultural and linguistic diversity in schools (Mitchell, 1996). By the fall of 1994, immigrant students represented roughly 32 percent of the total enrollment in the United States (National Center for Education Statistics, 1994). Statistically, these immigrant students are more likely than nonimmigrant students to have low academic achievement and to drop out of school (U.S. Office of Civil Rights, 1992). A study of high school dropouts, nationwide, found that immigration seems to be a contributing factor to the high dropout rate among Hispanic students (National Center for Education Statistics, 1992). Studies also show that recently immigrated students are disproportionately represented in special education programs (Garcia, Wilkinson, & Ortiz, 1995). Most distressing, August, Hakuta, and Pompa (1994) concluded that ”large numbers of limited English proficient children continue to receive instruction that is substandard to what English speakers receive. This amounts to a two-tiered system of education, with challenging curriculum for some and mediocrity for the rest” (p. 6). Thus, the challenge is finding ways to meet the needs of immigrant children. Allowing immigrants to become underachievers or to drop out of school is unacceptable. Their poor academic performance results in a loss of human potential, lessens economic growth, shrinks the overall tax base, and contributes to increased tax liability through welfare and legal system costs (Steinberg, Blinde, & Chan, 1984). Comer (1987) states that ”improving the education of high risk children is one of the most important tasks facing our nation” (p. 13). This task is not easy, however, because young immigrants’ cultural scripts, modeled on the social and cultural environments of their homelands, may be very different from those in their adopted countries (First, 1988). Consequently, immigrant children and their families may become marginalized in the education system.
Therapeutic potential of RNA interference against cancer

One of the most dramatic events of the past 5 years in the field of molecular biology has been the discovery of RNA interference (RNAi). Although RNAi is an evolutionarily conserved phenomenon for sequence‐specific gene silencing in mammalian cells, exogenous small interfering RNA (siRNA) and vector‐based short hairpin RNA (shRNA) can also invoke RNAi responses. Both are now not only experimental tools for analyzing gene function but are expected to be excellent avenues for drug target discovery and the emerging class of gene medicine for targeting incurable diseases such as cancer. The success of cancer therapeutic use of RNAi relies on the development of safe and efficacious delivery systems that introduce siRNA and shRNA expression vectors into target tumor cells. For their delivery, a variety of strategies have been used, most of them based on traditional gene therapy delivery systems. In this review, we present siRNA delivery method strategies and discuss the potential of RNAi‐based gene therapy in cancer treatment. (Cancer Sci 2006; 97: 689–696)
Ontology Based Semantic Web Service Discovery and Composition Framework

Web Service Discovery is the process of finding a suitable Web Service for a given task. A theoretical analysis of ontology-based service composition is proposed in terms of its dependency with service discovery. Web Service composition technique provides the features to users that an individual web service cannot perform. At service composition time, the composition of service depends on the users input outputs parameters and other non-functional parameters. In order to evaluate the best approach an optimal composition search algorithm to extract the best composition from the graph minimizing the length and the number of services and different graph optimizations to improve scalability of the system. The implementation of Floyd-Warshall algorithm can find all the possible way of services integrated and services to the web tasks. We have designed a full frame work for good integrated services for the particular tasks and given good performance of the web.
Health and Growth

The commission on growth and development was established in April 2006. It felt that the benefits of growth were not fully appreciated, but also recognized that the causes of growth were not fully understood. Growth is often overlooked and underrated as an instrument for tackling the world's most pressing problems, such as poverty, illiteracy, income inequality, unemployment, and pollution. At the same time, grasp of the sources of growth in developing countries is less definitive than commonly thought even though advice is sometimes given to policy makers in these countries with great confidence, perhaps greater than the state of knowledge will justify. Consequently, the commission's mandate is to 'take stock of the state of theoretical and empirical knowledge on economic growth with a view to drawing implications for policy for the current and next generation of policy makers. Good health improves the capacity to learn and work, which dramatically improves income and welfare at the household level even if the effects at the aggregate level may be harder to discern. The methodological problems in capturing these gains deserve attention and further work. More attention also needs to be paid to upgrading healthcare institutions, as more of the same is neither affordable nor desirable.
The determinants of firm entry and exit into Greek manufacturing industries : sectoral, temporal and spatial variation

This research investigates the determinants of firm entry and exit into Greek manufacturing industries during the eighties and early nineties. The first perspective concerns the determinants of sectoral variation of both net entry rates, and gross entry and exit rates. The role of overall macro-economic conditions, in conjunction with the effect of industry-specific structural variables, is the main focus. Net entry rates are difficult to explain using conventional measures of profitability and entry barriers. Some evidence is provided for counter-cyclical patterns in net entry rates post-1985. The determinants of net entry rates for specific industry groups are shown to be significantly different, but strongly correlated across sectors within the same group. Different industry-level factors also underpin entry by varying establishment size, rates of the largest firms exhibiting, in contrast to all other size classes considered, pro-cyclical patterns. Actual entry and exit statistics permit the testing of the symmetry hypothesis - barriers to entry are also barriers to exit - and the issue of a possible simultaneous link between firm entry and exit. The symmetry hypothesis was sustained, but whether or not entry and exit are simultaneous remains unclear. The second perspective is a spatial one. Shift-share descriptions of the variations in net entry rates of manufacturing firms across Greek regions are extended via analysis of variance to allow formal hypotheses testing. The main source of variation stems from variation in net entry in the same industry across regions. Finally, the analysis considers the determinants of variations in new manufacturing plant openings spatially across ten Greek regions. Key findings suggest that new plant opening rates tend to be higher in more specialised regions, in regions with extensive production links and where the local conditions favouring new manufacturing activity are characterised by higher small firm presence, adequate supply of skilled labour and public infrastructure investment.
Working with the homeless: The case of a non-profit organisation in Shanghai

This article addresses a two-pronged objective, namely to bring to the fore a much neglected social issue of homelessness, and to explore the dynamics of state-society relations in contemporary China, through a case study of a non-profit organisation (NPO) working with the homeless in Shanghai. It shows that the largely invisible homelessness in Chinese cities was substantially due to exclusionary institutions, such as the combined household registration and ‘detention and deportation’ systems. Official policy has become much more supportive since 2003 when the latter was replaced with government-run shelters, but we argue that the NPO case demonstrates the potential for enhanced longer-term support and enabling active citizenship for homeless people. By analysing the ways in which the NPO offers services through collaboration and partnership with the public (and private) actors, we also argue that the transformations in post-reform China and the changes within the state and civil society have significantly blurred their boundaries, rendering state-society relations much more complex, dynamic, fluid and mutually embedded.
A Simple Efficient GMM Estimator of GARCH Models

This paper is concerned with efficient GMM estimation and inference in GARCH models. Sufficient conditions for the estimator to be consistent and asymptotically normal are established for the GARCH(1,1) conditional variance process. In addition efficiency results are obtained in the general framework of the GARCH(1,1)-M regression model.
Flexible, Diagnosticity-Driven, Rather Than Fixed, Perceptually Determined Scale Selection in Scene and Face Recognition

Different classifications of an identical visual stimulus may require different perceptual properties from the visual input. How do processes of object and scene categorisation use the information associated with different perceptual spatial scales? One scenario suggests that recognition should use coarse blobs before fine-scale edges because scale usage is perceptually determined. However, perceptual determination neglects one important aspect of any recognition task: the information demands of the considered classification of the input. Evidence is reviewed suggesting that scale usage could be flexibly determined by the diagnosticity of scale-specific cues for different categorisations of scenes and faces.
Specialist Risk Attitudes and the Bid-Ask Spread

This paper examines the relation between the bid-ask spread and the risk of the underlying stock. It provides evidence that the specialist is not only sensitive to the absolute level of volatility, but also to changes in the level of volatility. This sensitivity arises because of increased inventory risk for the specialist when volatility is changing. For the sample of very liquid stocks in this paper, the quoted spread and the inventory cost component of the spread are shown to increase significantly during trading periods when volatility is both increasing and decreasing. Copyright 2005 by the Eastern Finance Association.
Volatility of Indian Stock Market: An Emperical Evidence

The purpose of this paper is to apply the GARCH-class models to two major stock exchanges of Indian stock markets. The study includes main indices of Bombay Stock Exchange (SENSEX) and that of National stock exchange (NIFTY). GARCH-class models have been applied to analyze the characteristics of the volatility of Indian stock market. The findings suggest that both the Indian stock exchanges have significant ARCH effects and it is appropriate to use ARCH/GARCH models to estimate the process and also demonstrated that there are leverage effects in the markets. That means the investors in those markets are not grown well and they will be heavily influenced by information (good or bad) very easily.
A population-based five-year follow-up study of cervical human papillomavirus infection.

OBJECTIVE The purpose of this study was to determine the long-term tendency for cervical human papillomavirus infections to persist in the general population. STUDY DESIGN From 500 women who participated in a 1991 population-based survey, 90 healthy women with normal results of cytologic examination (women with human papillomavirus deoxyribonucleic acid detected and age-matched control women without human papillomavirus deoxyribonucleic acid detected) were interviewed and examined 5 years later colposcopically, cytologically, and with human papillomavirus serologic testing and human papillomavirus deoxyribonucleic acid testing by polymerase chain reaction with 2 different consensus primer pairs (MY09 and MY11 and GP5(+) and GP6(+)), type-specific polymerase chain reaction, and deoxyribonucleic acid sequencing. RESULTS The 5-year human papillomavirus clearance rate was 92%. Only human papillomavirus type 16 infections persisted. Colposcopic impression of grade 2 cervical intraepithelial neoplasia was associated with persistent human papillomavirus 16 infection (P <.03). Human papillomavirus detection was associated with sexual history. Human papillomavirus type was the only determinant of human papillomavirus persistence. CONCLUSION The high clearance rates in a population-based setting with a 5-year follow-up period imply that inclusion of human papillomavirus deoxyribonucleic acid testing in population-based cervical screening programs should target persistent infection.
Portfolio Optimization with Respect to Risk Diversification

Traditional portfolio optimization approaches suffer from the drawback of often leading to highly concentrated portfolios. We propose a new kind of optimization focusing on a homogeneous distribution of risk among the portfolio constituents. We describe the underlying ideas of the approach and propose an easy to use and intuitive implementation using volatility or downside volatility as risk together with suitable homogeneity measures. The attractiveness of the approach lies in the fact, that it can be used in the presence of constraints and that it leads to better diversified portfolios without the need of manual adjustments. The diversifying effect is illustrated by some asset allocation examples.
Unique determination of balls and polyhedral scatterers with a single point source wave

In this paper, we prove uniqueness in determining a sound-soft ball or polyhedral scatterer in the inverse acoustic scattering problem with a single incident point source wave in R N ? > (N = 2,3). Our proofs rely on the reflection principle for the Helmholtz equation with respect to a Dirichlet hyperplane or sphere, which is essentially a ‘point-to-point’ extension formula. The method has been adapted to proving uniqueness in inverse scattering from sound-soft cavities with interior measurement data deriving from a single point source. The corresponding uniqueness for sound-hard balls or polyhedral scatterers has also been discussed.
Measuring Faculty Retention and Success in Academic Medicine

Purpose To develop and demonstrate the usefulness of quantitative methods for assessing retention and academic success of junior faculty in academic medicine. Method The authors created matched sets of participants and nonparticipants in a junior faculty development program based on hire date and academic series for newly hired assistant professors at the University of California, San Diego (UCSD), School of Medicine between 1988 and 2005. They used Kaplan–Meier and Cox proportional hazards survival analyses to characterize the influence of covariates, including gender, ethnicity, and program participation, on retention. They also developed a new method for quantifying academic success based on several measures including (1) leadership and professional activities, (2) honors and awards, (3) research grants, (4) teaching and mentoring/advising activities, and (5) publications. The authors then used these measures to compare matched pairs of participating and nonparticipating faculty who were subsequently promoted and remained at UCSD. Results Compared with matched nonparticipants, the retention of junior faculty who participated in the faculty development program was significantly higher. Among those who were promoted and remained at UCSD, the academic success of faculty development participants was consistently greater than that of matched nonparticipants. This difference reached statistical significance for leadership and professional activities. Conclusions Using better quantitative methods for evaluating retention and academic success will improve understanding and research in these areas. In this study, use of such methods indicated that organized junior faculty development programs have positive effects on faculty retention and may facilitate success in academic medicine.
Making brand equity a key factor in M&A decision‐making

Brand is a strategic asset that should be managed. This is an increasingly important issue for businesses that favor or have favored acquisition‐based growth strategies. To ensure optimal strategic value from the brands they are buying and selling, just calculating brand value does not suffice. They need a process for integrating brand and corporate finance MA think about brand strategy in the context of a portfolio; establish brand migration plans to help maximize the value of brand in the deal.
Ultrashort T  2* relaxometry for quantitation of highly concentrated superparamagnetic iron oxide (SPIO) nanoparticle labeled cells

A new method was developed to measure ultrashort T 2* relaxation in tissues containing a focal area of superparamagnetic iron oxide (SPIO) nanoparticle‐labeled cells in which the T 2* decay is too short to be accurately measured using regular gradient echo T 2* mapping. The proposed method utilizes the relatively long T2 relaxation of SPIO‐labeled cells and acquires a series of spin echo images with the readout echo shifted to sample the T 2* decay curve. MRI experiments in phantoms and rats with SPIO‐labeled tumors demonstrated that it can detect ultrashort T 2* down to 1 ms or less. The measured T 2* values were about 10% higher than those from the ultrashort TE (UTE) technique. The shorter the TE, the less the measurements deviated from the UTE T 2* mapping. Combined with the regular T 2* mapping, this technique is expected to provide quantitation of highly concentrated iron‐labeled cells from direct cell transplantation. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.