When gas analysis assists with postmortem imaging to diagnose causes of death.

Postmortem imaging consists in the non-invasive examination of bodies using medical imaging techniques. However, gas volume quantification and the interpretation of the gas collection results from cadavers remain difficult. We used whole-body postmortem multi-detector computed tomography (MDCT) followed by a full autopsy or external examination to detect the gaseous volumes in bodies. Gases were sampled from cardiac cavities, and the sample compositions were analyzed by headspace gas chromatography-mass spectrometry/thermal conductivity detection (HS-GC-MS/TCD). Three categories were defined according to the presumed origin of the gas: alteration/putrefaction, high-magnitude vital gas embolism (e.g., from scuba diving accident) and gas embolism of lower magnitude (e.g., following a traumatic injury). Cadaveric alteration gas was diagnosed even if only one gas from among hydrogen, hydrogen sulfide or methane was detected. In alteration cases, the carbon dioxide/nitrogen ratio was often >0.2, except in the case of advanced alteration, when methane presence was the best indicator. In the gas embolism cases (vital or not), hydrogen, hydrogen sulfide and methane were absent. Moreover, with high-magnitude vital gas embolisms, carbon dioxide content was >20%, and the carbon dioxide/nitrogen ratio was >0.2. With gas embolisms of lower magnitude (gas presence consecutive to a traumatic injury), carbon dioxide content was <20% and the carbon dioxide/nitrogen ratio was often <0.2. We found that gas analysis provided useful assistance to the postmortem imaging diagnosis of causes of death. Based on the quantifications of gaseous cardiac samples, reliable indicators were determined to document causes of death. MDCT examination of the body must be performed as quickly as possible, as does gas sampling, to avoid generating any artifactual alteration gases. Because of cardiac gas composition analysis, it is possible to distinguish alteration gases and gas embolisms of different magnitudes.

Reliability of P-drive in occupational therapy following a short training session: A promising instrument measuring seniors' on-road driving competencies

Introduction Occupational therapists could play an important role in facilitating driving cessation for ageing drivers. This, however, requires an easy-to-learn, standardised on-road evaluation method. This study therefore investigates whether use of P-drive' could be reliably taught to occupational therapists via a short half-day training session. Method Using the English 26-item version of P-drive, two occupational therapists evaluated the driving ability of 24 home-dwelling drivers aged 70 years or over on a standardised on-road route. Experienced driving instructors' on-road, subjective evaluations were then compared with P-drive scores. Results Following a short half-day training session, P-drive was shown to have almost perfect between-rater reliability (ICC2,1=0.950, 95% CI 0.889 to 0.978). Reliability was stable across sessions including the training phase even if occupational therapists seemed to become slightly less severe in their ratings with experience. P-drive's score was related to the driving instructors' subjective evaluations of driving skills in a non-linear manner (R-2=0.445, p=0.021). Conclusion P-drive is a reliable instrument that can easily be taught to occupational therapists and implemented as a way of standardising the on-road driving test.

HRM Practices Sustaining PSM: When Values Congruency Matters

Abstract: This study aims at identifying the organisational antecedents of public service motivation (PSM). It focuses on human resources management (HRM) practices as one category of organisational factors that impact on PSM. Concretely, this research questions how intrinsic and extrinsic HRM practices are related to PSM and whether these relationships are direct or mediated by person-organisation (P-O) fit. The empirical findings are based on a survey of 6,885 civil servants working in Switzerland. Regression analyses highlight that intrinsic HRM practices are positively related to PSM, whereas extrinsic ones are negatively related to PSM. Furthermore, mediation tests shows that only the intrinsic HRM practices are mediated by PO fit. Thus, civil servants who value intrinsic work incentives maintain a high PSM level when they perceive congruence between their individual expectations and the values of their organisation.

Ewing sarcoma cancer stem cells : from mechanisms to therapeutic targeting

Le sarcome d'Ewing (SE) est la 2ème tumeur des os la plus fréquente chez les enfants, et le pronostic est sombre au stade métastatique. La pathogenèse du SE repose sur une translocation, provocant la fusion du domaine activateur du facteur de transcription EWS, avec la partie liant l'ADN de la protéine FLI-1. Les cellules souches cancéreuses (CSC) sont supposées être les moteurs de la croissance tumorale, et représente de ce fait des cibles thérapeutiques préférentielles. Dans ce travail nous nous sommes efforcés de comprendre, ainsi que de cibler les mécanismes liés à l'émergence des CSC dans le sarcome d'Ewing. La formation des CSC du ES est liée à un défaut de maturation des miRNAs provoqué par une sous-expression d'un gène, TARBP2, dans les CSC. Ce défaut de maturation peut être corrigé par un traitement des cellules avec de l'enoxacine, une fluoroquinolone utilisée pour traiter les infections urinaires. L'enoxacine seule n'étant pas suffisante pour éradiquer les tumeurs in vivo, nous avons testé la combinaison d'une thérapie ciblée sur les CSC avec une chimiothérapie classique, la doxorubicine, ciblant les cellules différentiées. In vitro l'enoxacine induit l'apoptose dans les CCS sans affecter les cellules différentiées, alors que à l'inverse, la doxorubicine n'affecte que les cellules de la « masse » tumorale. In vivo la combinaison de ces deux drogues inhibe la croissance de tumeurs provenant de cellules primaires xenotranplantées et éradique les CSCs. Nos résultats mettent en lumière une nouvelle approche thérapeutique directement applicable pour le sarcome d'Ewing, et pourraient ainsi rapidement déboucher sur des essais cliniques. Dans la deuxième partie de ce travail nous avons essayé de comprendre comment EWS-FLI1, la protéine de fusion issue de la translocation chromosomique du sarcome d'Ewing conduit à la génération des CSC. Pour cela nous avons effectué des ChIPseq (immunoprecipitation de la chromatine suivi de séquençage) pour EWS-FLI1 ainsi que pour certaines modifications histoniques. -- Ewing sarcoma family tumors (ESFT) are the second most frequent bone tumors in children and have a high rate of recurrence when metastatic at presentation. The pathogenesis of Ewing sarcoma is underlayed by a translocation, leading to the fusion of the trans-activating domain of EWS with the FLU DNA binding domain. Cancer stem cells (CSCs) are thought to be the driving force of tumor growth. In this work we focused on understanding the mechanisms underlying ESFT CSC emergence as well as defining targeted therapeutic strategies. Emergence of CSCs in ESFT has been shown to arise from a defect in TARBP2-dependent microRNA maturation, which can be corrected by exposure to the fluoroquinolone enoxacin. As enoxacin alone is not sufficient to reverse tumor growth in vivo, we assessed the effect of combining a drug that abrogates CSC properties with doxorubicin, a standard-of-care therapy in ESFT. Primary ESFT CSCs and bulk tumor cells were treated with different concentration of drugs and displayed divergent responses to doxorubicin and enoxacin. Doxorubicin, which targets the tumor bulk, displayed toxicity toward primary adherent ESFT cells in culture but not to CSC-enriched ESFT spheres. Conversely, enoxacin induced apoptosis but only in ESFT spheres and specifically on the CD133+ population. In combination, the two drugs markedly depleted CSC and strongly reduced primary growth in xenograft assays of two primary ESFT. Our results identify a potentially attractive therapeutic strategy for ESFT that combines mechanism-based targeting of CSC using a low toxicity antibiotic with a standard-of-care cytotoxic drug, offering immediate applications for clinical evaluation. In the second part of this work we performed chromatin immunopercipitation on CSCs and bulk cells for EWS-FLI1 binding as well as some chromatin modifications, and concluded that EWS-FLI1 shows cell context dependent binding.

Peer imitation in children : imitators show communicative attitude only when they copy "effect-less" actions

This field study assesses children's relational attitude when they imitate other children. We observe that 3.7- to 5.4-years-old children show communicative attitude toward the model when they reproduce "effect-less" actions, but not when they copy target actions.

When does charisma matter for top-level leaders? Effect of attributional ambiguity

One stream of leadership theory suggests leaders are evaluated via inferential observer processes that compare the fit of the target to a prototype of an ideal (charismatic) leader. Attributional theories of leadership suggest that evaluations depend on knowledge of past organizational performance, which is attributed to the leader's skills. We develop a novel theory showing how inferential and attributional processes simultaneously explain top-level leader evaluation and ultimately leader retention and selection. We argue that observers will mostly rely on attributional mechanisms when performance signals clearly indicate good or poor performance outcomes. However, under conditions of attributional ambiguity (i.e., when performance signals are unclear), observers will mostly rely on inferential processes. In Study 1 we tested our theory in an unconventional context-the U.S. presidential election-and found that the two processes, due to the leader's charisma and country economic performance, interact in predicting whether a leader is selected. Using a business context and an experimental design, in Study 2 we show that CEO charisma and firm performance interact in predicting leader retention, confirming the results we found in Study 1. Our results suggest that this phenomenon is quite general and can apply to various performance domains.

Swiss medical centres vary significantly when it comes to outcomes of neonates with a very low gestational age.

AIM: This study quantified the impact of perinatal predictors and medical centre on the outcome of very low-gestational-age neonates (VLGANs) born at <32 completed weeks in Switzerland. METHODS: Using prospectively collected data from a 10-year cohort of VLGANs, we developed logistic regression models for three different time points: delivery, NICU admission and seven days of age. The data predicted survival to discharge without severe neonatal morbidity, such as major brain injury, moderate or severe bronchopulmonary dysplasia, retinopathy of prematurity (≥stage three) or necrotising enterocolitis (≥stage three). RESULTS: From 2002 to 2011, 6892 VLGANs were identified: 5854 (85%) of the live-born infants survived and 84% of the survivors did not have severe neonatal complications. Predictors for adverse outcome at delivery and on NICU admission were low gestational age, low birthweight, male sex, multiple birth, birth defects and lack of antenatal corticosteroids. Proven sepsis was an additional risk factor on day seven of life. The medical centre remained a statistically significant factor at all three time points after adjusting for perinatal predictors. CONCLUSION: After adjusting for perinatal factors, the survival of Swiss VLGANs without severe neonatal morbidity was strongly influenced by the medical centre that treated them.

Does phylogeographic structure relate to climatic niche divergence? A test using maritime pine (Pinus pinaster Ait.)

Aim To disentangle the effects of environmental and geographical processes driving phylogenetic distances among clades of maritime pine (Pinus pinaster). To assess the implications for conservation management of combining molecular information with species distribution models (SDMs; which predict species distribution based on known occurrence records and on environmental variables). Location Western Mediterranean Basin and European Atlantic coast. Methods We undertook two cluster analyses for eight genetically defined pine clades based on climatic niche and genetic similarities. We assessed niche similarity by means of a principal component analysis and Schoener's D metric. To calculate genetic similarity, we used the unweighted pair group method with arithmetic mean based on Nei's distance using 266 single nucleotide polymorphisms. We then assessed the contribution of environmental and geographical distances to phylogenetic distance by means of Mantel regression with variance partitioning. Finally, we compared the projection obtained from SDMs fitted from the species level (SDMsp) and composed from the eight clade-level models (SDMcm). Results Genetically and environmentally defined clusters were identical. Environmental and geographical distances explained 12.6% of the phylogenetic distance variation and, overall, geographical and environmental overlap among clades was low. Large differences were detected between SDMsp and SDMcm (57.75% of disagreement in the areas predicted as suitable). Main conclusions The genetic structure within the maritime pine subspecies complex is primarily a consequence of its demographic history, as seen by the high proportion of unexplained variation in phylogenetic distances. Nevertheless, our results highlight the contribution of local environmental adaptation in shaping the lower-order, phylogeographical distribution patterns and spatial genetic structure of maritime pine: (1) genetically and environmentally defined clusters are consistent, and (2) environment, rather than geography, explained a higher proportion of variation in phylogenetic distance. SDMs, key tools in conservation management, better characterize the fundamental niche of the species when they include molecular information.

Smiling in a job interview: When less is more

Two studies examined the effect of applicants' smiling on hireability. In a pre-test study, participants were asked to rate the expected behavior for four types of applicants. Newspaper reporter applicants were expected to be more serious than applicants for other jobs. In Study 1, participants were randomly assigned to be an applicant or interviewer for a newspaper reporting job. Smiling was negatively related to hiring, and smiling mediated the relation between applicants' motivation to make a good impression and hiring. Hiring was maximized when applicants smiled less in the middle of the interview relative to the start and end. In Study 2, participants watched Study 1 clips and were randomly assigned to believe the applicants were applying to one of four jobs. Participants rated more suitability when applicants smiled less, especially for jobs associated with a serious demeanor. This research shows that job type is an important moderator of the impact of smiling on hiring.

Assessing the use of very high resolution data to predict species distribution in a mountain environment

Nowadays, Species Distribution Models (SDMs) are a widely used tool. Using different statistical approaches these models reconstruct the realized niche of a species using presence data and a set of variables, often topoclimatic. There utilization range is quite large from understanding single species requirements, to the creation of nature reserve based on species hotspots, or modeling of climate change impact, etc... Most of the time these models are using variables at a resolution of 50km x 50km or 1 km x 1 km. However in some cases these models are used with resolutions below the kilometer scale and thus called high resolution models (100 m x 100 m or 25 m x 25 m). Quite recently a new kind of data has emerged enabling precision up to lm x lm and thus allowing very high resolution modeling. However these new variables are very costly and need an important amount of time to be processed. This is especially the case when these variables are used in complex calculation like models projections over large areas. Moreover the importance of very high resolution data in SDMs has not been assessed yet and is not well understood. Some basic knowledge on what drive species presence-absences is still missing. Indeed, it is not clear whether in mountain areas like the Alps coarse topoclimatic gradients are driving species distributions or if fine scale temperature or topography are more important or if their importance can be neglected when balance to competition or stochasticity. In this thesis I investigated the importance of very high resolution data (2-5m) in species distribution models using either very high resolution topographic, climatic or edaphic variables over a 2000m elevation gradient in the Western Swiss Alps. I also investigated more local responses of these variables for a subset of species living in this area at two precise elvation belts. During this thesis I showed that high resolution data necessitates very good datasets (species and variables for the models) to produce satisfactory results. Indeed, in mountain areas, temperature is the most important factor driving species distribution and needs to be modeled at very fine resolution instead of being interpolated over large surface to produce satisfactory results. Despite the instinctive idea that topographic should be very important at high resolution, results are mitigated. However looking at the importance of variables over a large gradient buffers the importance of the variables. Indeed topographic factors have been shown to be highly important at the subalpine level but their importance decrease at lower elevations. Wether at the mountane level edaphic and land use factors are more important high resolution topographic data is more imporatant at the subalpine level. Finally the biggest improvement in the models happens when edaphic variables are added. Indeed, adding soil variables is of high importance and variables like pH are overpassing the usual topographic variables in SDMs in term of importance in the models. To conclude high resolution is very important in modeling but necessitate very good datasets. Only increasing the resolution of the usual topoclimatic predictors is not sufficient and the use of edaphic predictors has been highlighted as fundamental to produce significantly better models. This is of primary importance, especially if these models are used to reconstruct communities or as basis for biodiversity assessments. -- Ces dernières années, l'utilisation des modèles de distribution d'espèces (SDMs) a continuellement augmenté. Ces modèles utilisent différents outils statistiques afin de reconstruire la niche réalisée d'une espèce à l'aide de variables, notamment climatiques ou topographiques, et de données de présence récoltées sur le terrain. Leur utilisation couvre de nombreux domaines allant de l'étude de l'écologie d'une espèce à la reconstruction de communautés ou à l'impact du réchauffement climatique. La plupart du temps, ces modèles utilisent des occur-rences issues des bases de données mondiales à une résolution plutôt large (1 km ou même 50 km). Certaines bases de données permettent cependant de travailler à haute résolution, par conséquent de descendre en dessous de l'échelle du kilomètre et de travailler avec des résolutions de 100 m x 100 m ou de 25 m x 25 m. Récemment, une nouvelle génération de données à très haute résolution est apparue et permet de travailler à l'échelle du mètre. Les variables qui peuvent être générées sur la base de ces nouvelles données sont cependant très coûteuses et nécessitent un temps conséquent quant à leur traitement. En effet, tout calcul statistique complexe, comme des projections de distribution d'espèces sur de larges surfaces, demande des calculateurs puissants et beaucoup de temps. De plus, les facteurs régissant la distribution des espèces à fine échelle sont encore mal connus et l'importance de variables à haute résolution comme la microtopographie ou la température dans les modèles n'est pas certaine. D'autres facteurs comme la compétition ou la stochasticité naturelle pourraient avoir une influence toute aussi forte. C'est dans ce contexte que se situe mon travail de thèse. J'ai cherché à comprendre l'importance de la haute résolution dans les modèles de distribution d'espèces, que ce soit pour la température, la microtopographie ou les variables édaphiques le long d'un important gradient d'altitude dans les Préalpes vaudoises. J'ai également cherché à comprendre l'impact local de certaines variables potentiellement négligées en raison d'effets confondants le long du gradient altitudinal. Durant cette thèse, j'ai pu monter que les variables à haute résolution, qu'elles soient liées à la température ou à la microtopographie, ne permettent qu'une amélioration substantielle des modèles. Afin de distinguer une amélioration conséquente, il est nécessaire de travailler avec des jeux de données plus importants, tant au niveau des espèces que des variables utilisées. Par exemple, les couches climatiques habituellement interpolées doivent être remplacées par des couches de température modélisées à haute résolution sur la base de données de terrain. Le fait de travailler le long d'un gradient de température de 2000m rend naturellement la température très importante au niveau des modèles. L'importance de la microtopographie est négligeable par rapport à la topographie à une résolution de 25m. Cependant, lorsque l'on regarde à une échelle plus locale, la haute résolution est une variable extrêmement importante dans le milieu subalpin. À l'étage montagnard par contre, les variables liées aux sols et à l'utilisation du sol sont très importantes. Finalement, les modèles de distribution d'espèces ont été particulièrement améliorés par l'addition de variables édaphiques, principalement le pH, dont l'importance supplante ou égale les variables topographique lors de leur ajout aux modèles de distribution d'espèces habituels.