Reconceptualising employee silence: problems and prognosis

A growing literature has emerged on employee silence, located within the field of organisational behaviour. Scholars have investigated when and how employees articulate voice and when and how they will opt for silence. While offering many insights, this analysis is inherently one-sided in its interpretation of silence as a product of employee motivations. An alternative reading of silence is offered which focuses on the role of management. Using the non-union employee representation literature for illustrative purposes, the significance of management in structuring employee silence is considered. Highlighted are the ways in which management, through agenda-setting and institutional structures, can perpetuate silence over a range of issues, thereby organising employees out of the voice process. These considerations are redeployed to offer a dialectical interpretation of employee silence in a conceptual framework to assist further research and analysis.

C/EBP alpha Is Up-regulated in a Subset of Hepatocellular Carcinomas and Plays a Role in Cell Growth and Proliferation

BACKGROUND & AIMS: C/EBP alpha (cebpa) is a putative tumor suppressor. However, initial results indicated that cebpa was up-regulated in a subset of human hepatocellular carcinomas (HCCs). The regulation and function of C/EBP alpha was investigated in HCC cell lines to clarify its role in liver carcinogenesis. METHODS: The regulation of C/EBP alpha expression was studied by quantitative reverse transcription-polymerase chain reaction (qRT-PCR), Western blotting, immunohistochemistry, methylation-specific PCR, and chromatin immunoprecipitation assays. C/EBP alpha expression was knocked-down by small interfering RNA or short hairpin RNA. Functional assays included colony formation, methylthiotetrazole, bromodeoxyuridine incorporation, and luciferase-reporter assays. RESULTS: Cebpa was up-regulated at least 2-fold in a subset (approximately 55%) of human HCCs compared with adjacent non tumor tissues. None of the up-regulated samples were positive for hepatitis C infection. The HCC cell lines Hep3B and Huh7 expressed high, PLC/PRF/5 intermediate, HepG2 and HCC-M low levels of C/EBP alpha, recapitulating the pattern of expression observed in HCCs. No mutations were detected in the CEBP alpha gene in HCCs and cell lines. C/EBP alpha was localized to the nucleus and functional in Hep3B and Huh7 cells; knocking-down its expression reduced target-gene expression, colony formation, and cell growth, associated with a decrease in cyclin A and CDK4 concentrations and E2F transcriptional activity. Epigenetic mechanisms including DNA methylation, and the binding of acetylated histone H3 to the CEBP alpha promoter-regulated cebpa expression in the HCC cells. CONCLUSIONS: C/EBP alpha is up-regulated in a subset of HCCs and has growth-promoting activities in HCC cells. Novel oncogenic mechanisms involving C/EBP alpha may be amenable to epigenetic regulation to improve treatment outcomes.

An efficient feature selection method for mobile devices with application to activity recognition

This paper presents a feature selection method for data classification, which combines a model-based variable selection technique and a fast two-stage subset selection algorithm. The relationship between a specified (and complete) set of candidate features and the class label is modelled using a non-linear full regression model which is linear-in-the-parameters. The performance of a sub-model measured by the sum of the squared-errors (SSE) is used to score the informativeness of the subset of features involved in the sub-model. The two-stage subset selection algorithm approaches a solution sub-model with the SSE being locally minimized. The features involved in the solution sub-model are selected as inputs to support vector machines (SVMs) for classification. The memory requirement of this algorithm is independent of the number of training patterns. This property makes this method suitable for applications executed in mobile devices where physical RAM memory is very limited. An application was developed for activity recognition, which implements the proposed feature selection algorithm and an SVM training procedure. Experiments are carried out with the application running on a PDA for human activity recognition using accelerometer data. A comparison with an information gain based feature selection method demonstrates the effectiveness and efficiency of the proposed algorithm.

Do psychosocial factors moderate the association of fixed-term employment with work interference with family and sleeping problems in registered nurses: A cross-sectional questionnaire survey

Background: The use affixed-term employment has increased lately, particularly in Europe and in the health care sector. Previous studies have shown that especially among the health care sector employee's organizational justice perceptions and job control are important factors that are directly related to the welfare and attitudes of employees and may also help to buffer the negative impacts of many detrimental factors.

The Association of Distress and Sleeping Problems With Physicians' Intentions To Change Profession: The Moderating Effect of Job Control

The present study examined whether job control moderated the association between stress indicators (distress and sleeping problems) and intentions to change profession among 2,650 Finnish physicians. Ordinal logistic regression analysis was applied. The authors found that high levels of distress and sleeping problems were associated with higher levels of intentions to change profession, whereas high job control was associated with lower levels of intentions to change profession even after adjusting for the effects of gender, age, and employment sector. In addition, high job control was able to mitigate the positive association that distress and sleeping problems had with intentions to change profession. Our findings highlight the importance of offering more job control to physicians to prevent unnecessary physician turnover.