The relationship between HRM practices and organizational commitment of knowledge workers. Facts obtained from Swiss SMEs

This paper explores the effects of human resource management (HRM) practices in Swiss small -to-medium enterprises (SMEs). More specifically, the main objective of this study is to assess the impacts of HRM practices developed in Swiss SMEs upon the commitment of knowledge workers. Using data from a survey of over 198 knowledge workers, this study shows the importance of looking closer at HRM practices and, furthermore, to really investigate the impacts of the different HRM practices on employees' commitment. Results show, for example, that organisational support, procedural justice and the reputation of the organisation may clearly influence knowledge workers' commitment, whereas other HRM practices such as involvement in the decision-making, skills management or even the degree of satisfaction with pay do not have any impact on knowledge workers' commitment.

Roles of PPARβ and PPARγ in mouse placental development

RESUME Les gènes des PPARs jouent des rôles importants dans la régulation du métabolisme énergétique, lipidique et glucidique. Le présent travail, caractérise et analyse les défauts placentaires responsables de la mort embryonnaire des souris mutantes pour PPARβ et pour PPARγ, entre le jour E9.5 et E10.5. Les placentas issus d'embryons PPARP présentent un sévère retard de croissance, alors que les placentas mutants PPARγ montrent de graves défauts vasculaires. Nous montrons que les placentas issus d'embryons PPARβ-/-, au jour E9.5 présentent une réduction prononcée de la couche de cellules géantes, associée à une diminution des niveaux de protéines exprimées par les cellules géantes, tel que le placenta lactogène-I et la « proliferin ». Par ailleurs, nous montrons que le traitement d'un lignée trophoblastique par un ligand spécifique de PPARP augmente considérablement leur différentiation en cellules géantes. Cette différentiation dépendante de la voie de signalisation P13-kinase, s'accompagne d'une élévation de l'expression de l'ADRP, une protéine de structure associée aux vésicules lipidiques. Ainsi nous démontrons que PPAR5 est un régulateur majeur de la différentiation des cellules géantes, lesquelles sont primordiales aussi bien pour l'établissement de la structure placentaire, que pour la fonction endocrine. Par contre, les placentas PPARγ-/- présentent un défaut de vascularisation. Le niveau d'une protéine anti-angiogénique, la « proliferin-related protein », est très basse et ne peut pas contre-balancer l'élévation normale de la protéine pro-angiogénique « proliferin ». La formation des vaisseaux se trouve alors altérée. Ainsi, PPARγ constitue un régulateur majeur de l'activité anti-angiogénique. En conclusion, ce travail fournit de nouveaux éléments sur le rôle complémentaires de PPARβet PPARγ dans les événements complexes qui régissent le développement placentaire. SUMMARY Peroxisome proliferator-activated receptors (PPARs) are nuclear hormone receptors involved in energy homeostasis and growth. Herein, we characterize the placental defects that cause embryonic lethality around E9.5/E10.5 in PPARβ- and in PPARγ-deficient mouse lines. Most but not all PPARβ-null mutants die around E9.5/E10.5 with severe growth retardation. The placentas from PPARβ-/- embryos at E9.5 exhibit a strongly reduced giant cell layer, associated with reduced levels of proteins expressed by giant cells such as Placental lactogen-I and Proliferin. Ectopic treatment of a rat trophoblast cell line with PPARβ ligand markedly accelerated PI3 kinase-dependent giant cell differentiation. In addition, we demonstrate that ADRP, a pen-related lipid droplet-bound protein, is up-regulated by PPARβ in differentiated Rcho-1 cells. These results indicate that PPARβ is a crucial regulator of the differentiation secondary giant cells, which play a major role in the establishment of the placental structure as well as an important endocrine function. In contrast, the main alteration of the PPARγ-null placentas concerns the vasculogenesis. We show that in these placentas, the level of the anti-angiogenic proliferin-related protein is very low, and cannot balance the normal elevation of the pro-angiogenic proliferin expression, leading to the defective placental vessel formation. Consistently, the dramatic increase of PPARγ expression in late stage of gestation in wild-type mice is likely a major regulator of the anti-angiogenic activity, particularly important at the end of the pregnancy. This work emphasizes the important and complementary roles of PPARβ and PPARγ in mouse placental development and provides new tools for understanding the complex regulatory events that governs placental development and function. Understanding the function of PPARβ and PPARγ are of crucial interest with respect to human placental development and associated pathologies.

HRM Practices, Intrinsic Motivators, and Organizational Performance in the Public Sector

This article aims to determine the impact of human resource management (HRM) practices on public service motivation (PSM) and organizational performance. Based on a survey of Swiss cantonal public employees (N = 3,131), this study shows that several HRM practices may be considered as organizational antecedents of PSM and strong predictors of perceived organizational performance. Fairness, job enrichment, individual appraisal, and professional development are HRM practices that are positively and significantly associated with PSM and perceived organizational performance. Moreover, these results suggest that HRM practices are stronger predictors than either PSM or organizational commitment when explaining the individual perception of organizational performance.

Commentary. The ontogeny of human memory : where are we going ?

In their review, Jabe`s and Nelson provide an update of Nelson's 1995 cognitive neuroscience model of human memory development. Here, we highlight the major changes in perspective after 20 years of advances in our understanding of the neural basis of memory, and advocate the need for more systematic investigations of memory processes across the lifespan, which combine different models and levels of analysis: from genes, to brain to behavior.

Molecular characterization and phenotypic expression of mutations in genes for gonadotropins and their receptors in humans.

Gonadotropin hormones undergo important dynamic changes during life. Their rise during puberty stimulates gonadal steroid secretion, triggering the development of secondary sexual characteristics and the acquisition of fertility. The full spectrum of possible mutations and polymorphisms in the human gonadotropins and in their receptor genes has been described in recent years. Patients harboring these mutations display a very wide range of phenotypes affecting all aspects of the reproductive axis. An important insight provided by the careful study of these patients lies in the striking gender differences in the phenotypes associated with a given mutation. As a result, the careful study of these rare patients has allowed us to better define the respective roles of luteinizing hormone and follicle-stimulating hormone in normal human pubertal development and in the achievement of full fertility potential in either males or females. In this work, we describe briefly the known mutations in the genes for both gonadotropins and their receptors, and discuss their genotype/phenotype correlations in light of these important gender differences.

Central and Cortical Gray Mater Segmentation of Magnetic Resonance Images of the Fetal Brain

Motivation. The study of human brain development in itsearly stage is today possible thanks to in vivo fetalmagnetic resonance imaging (MRI) techniques. Aquantitative analysis of fetal cortical surfacerepresents a new approach which can be used as a markerof the cerebral maturation (as gyration) and also forstudying central nervous system pathologies [1]. However,this quantitative approach is a major challenge forseveral reasons. First, movement of the fetus inside theamniotic cavity requires very fast MRI sequences tominimize motion artifacts, resulting in a poor spatialresolution and/or lower SNR. Second, due to the ongoingmyelination and cortical maturation, the appearance ofthe developing brain differs very much from thehomogenous tissue types found in adults. Third, due tolow resolution, fetal MR images considerably suffer ofpartial volume (PV) effect, sometimes in large areas.Today extensive efforts are made to deal with thereconstruction of high resolution 3D fetal volumes[2,3,4] to cope with intra-volume motion and low SNR.However, few studies exist related to the automatedsegmentation of MR fetal imaging. [5] and [6] work on thesegmentation of specific areas of the fetal brain such asposterior fossa, brainstem or germinal matrix. Firstattempt for automated brain tissue segmentation has beenpresented in [7] and in our previous work [8]. Bothmethods apply the Expectation-Maximization Markov RandomField (EM-MRF) framework but contrary to [7] we do notneed from any anatomical atlas prior. Data set &Methods. Prenatal MR imaging was performed with a 1-Tsystem (GE Medical Systems, Milwaukee) using single shotfast spin echo (ssFSE) sequences (TR 7000 ms, TE 180 ms,FOV 40 x 40 cm, slice thickness 5.4mm, in plane spatialresolution 1.09mm). Each fetus has 6 axial volumes(around 15 slices per volume), each of them acquired inabout 1 min. Each volume is shifted by 1 mm with respectto the previous one. Gestational age (GA) ranges from 29to 32 weeks. Mother is under sedation. Each volume ismanually segmented to extract fetal brain fromsurrounding maternal tissues. Then, in-homogeneityintensity correction is performed using [9] and linearintensity normalization is performed to have intensityvalues that range from 0 to 255. Note that due tointra-tissue variability of developing brain someintensity variability still remains. For each fetus, ahigh spatial resolution image of isotropic voxel size of1.09 mm is created applying [2] and using B-splines forthe scattered data interpolation [10] (see Fig. 1). Then,basal ganglia (BS) segmentation is performed on thissuper reconstructed volume. Active contour framework witha Level Set (LS) implementation is used. Our LS follows aslightly different formulation from well-known Chan-Vese[11] formulation. In our case, the LS evolves forcing themean of the inside of the curve to be the mean intensityof basal ganglia. Moreover, we add local spatial priorthrough a probabilistic map created by fitting anellipsoid onto the basal ganglia region. Some userinteraction is needed to set the mean intensity of BG(green dots in Fig. 2) and the initial fitting points forthe probabilistic prior map (blue points in Fig. 2). Oncebasal ganglia are removed from the image, brain tissuesegmentation is performed as described in [8]. Results.The case study presented here has 29 weeks of GA. Thehigh resolution reconstructed volume is presented in Fig.1. The steps of BG segmentation are shown in Fig. 2.Overlap in comparison with manual segmentation isquantified by the Dice similarity index (DSI) equal to0.829 (values above 0.7 are considered a very goodagreement). Such BG segmentation has been applied on 3other subjects ranging for 29 to 32 GA and the DSI hasbeen of 0.856, 0.794 and 0.785. Our segmentation of theinner (red and blue contours) and outer cortical surface(green contour) is presented in Fig. 3. Finally, torefine the results we include our WM segmentation in theFreesurfer software [12] and some manual corrections toobtain Fig.4. Discussion. Precise cortical surfaceextraction of fetal brain is needed for quantitativestudies of early human brain development. Our workcombines the well known statistical classificationframework with the active contour segmentation forcentral gray mater extraction. A main advantage of thepresented procedure for fetal brain surface extraction isthat we do not include any spatial prior coming fromanatomical atlases. The results presented here arepreliminary but promising. Our efforts are now in testingsuch approach on a wider range of gestational ages thatwe will include in the final version of this work andstudying as well its generalization to different scannersand different type of MRI sequences. References. [1]Guibaud, Prenatal Diagnosis 29(4) (2009). [2] Rousseau,Acad. Rad. 13(9), 2006, [3] Jiang, IEEE TMI 2007. [4]Warfield IADB, MICCAI 2009. [5] Claude, IEEE Trans. Bio.Eng. 51(4) (2004). [6] Habas, MICCAI (Pt. 1) 2008. [7]Bertelsen, ISMRM 2009 [8] Bach Cuadra, IADB, MICCAI 2009.[9] Styner, IEEE TMI 19(39 (2000). [10] Lee, IEEE Trans.Visual. And Comp. Graph. 3(3), 1997, [11] Chan, IEEETrans. Img. Proc, 10(2), 2001 [12] Freesurfer,http://surfer.nmr.mgh.harvard.edu.

Concise reviews: in vitro-produced pancreas organogenesis models in three dimensions: self-organization from few stem cells or progenitors.

Three-dimensional models of organ biogenesis have recently flourished. They promote a balance between stem/progenitor cell expansion and differentiation without the constraints of flat tissue culture vessels, allowing for autonomous self-organization of cells. Such models allow the formation of miniature organs in a dish and are emerging for the pancreas, starting from embryonic progenitors and adult cells. This review focuses on the currently available systems and how these allow new types of questions to be addressed. We discuss the expected advancements including their potential to study human pancreas development and function as well as to develop diabetes models and therapeutic cells.

The skill paradox: Explaining and reducing employment discrimination against skilled immigrants

Using a social identity theory approach, we theorized that recruiters might be particularly biased against skilled immigrant applicants. We refer to this phenomenon as a skill paradox, according to which immigrants are more likely to be targets of employment discrimination the more skilled they are. Furthermore, building on the common ingroup identity model, we proposed that this paradox can be resolved through human resource management (HRM) strategies that promote inclusive hiring practices (e.g., by emphasizing fit with a diverse clientele). The results from a laboratory experiment were consistent with our predictions: Local recruiters preferred skilled local applicants over skilled immigrant applicants, but only when these applicants were qualified for a specific job. This bias against qualified and skilled immigrant applicants was attenuated when fit with a diverse clientele was emphasized, but not when fit with a homogeneous clientele was emphasized or when the hiring strategy was not explained. We discuss the implications of our findings for research on employment discrimination against skilled immigrants, including the role of inclusiveness for reducing discriminatory biases.