Cooperating if one’s Goals are Collective-Based: Social Identification Effects in Social Dilemmas as a Function of Goal-Transformation

Prior studies of the effect of group identification on cooperation in social dilemmas have advanced two competing accounts of this effect, the goal-transformation hypothesis, which holds that identification implies a sense of collective self, which makes personal and collective goals interchangeable, and the goal-amplification hypothesis, which states that identification induces positive expectations about others’ cooperative behavior. These prior studies have, however, neglected to assess the process measures necessary to pit the one account against the other. Following prior research, the present study showed that the effect of identification was moderated by participants’ social value orientation (i.e., individual differences in evaluating the importance of outcomes for self and other) in such a way that identification influenced proselfs’ cooperation more than prosocials’ cooperation. This suggests that the consequence of group identification is that collective goals become personal goals. Extending earlier recent research, mediational analyses showed that the effect of our identification manipulation was mediated by participants’ sense of collective self and not by their expectations. Taken together, these results provide strong support in favor of the goal-transformation hypothesis

Who do we inform? The role of status and target in intergroup whistle-blowing

In two experiments (n = 87 and n = 90), we showed that strongly identifying members of a low status group are more likely to actively inform the ingroup rather than the outgroup about an outgroup transgression, and consider it as more loyal to the ingroup to do so. Moreover, strongly identifying members of a high status group are more likely to actively inform the outgroup rather than the ingroup about an outgroup transgression, and consider this to be more loyal to the ingroup. The results are in support of the notion that, depending on a group's existing status position, negative outgroup information can be used to enhance or confirm the ingroup's standing, affecting whether the ingroup or the outgroup will initially be informed about an outgroup transgression. Copyright © The Author(s), 2009

Intergroup helping in response to separatism

Despite its prevalence and widespread media coverage, separatism as a phenomenon is barely covered in psychological investigations, and the majority's response to separatism has been completely ignored. We present two studies in which we investigated the notion that separatist movements threaten the continuation of the national identity, as well as the nation's economic position. Moreover, we hypothesized and found that members of the majority group respond to continuation threat by supporting government measures to help the separatist group. Javanese students who were induced to believe that existing separatist movements in West Papua (Study 1, N = 322) or Aceh (Study 2, N = 180) were currently increasing their efforts to gain independence were more willing to support these groups than participants who believed these movements were dormant. Moreover, this effect was mediated by continuation threat but not economic threat. These results demonstrate the possibility of a peaceful response to separatism threat. © 2013 by the Society for Personality and Social Psychology, Inc

Influence of enzalutamide on cabazitaxel pharmacokinetics: A Drug–Drug interaction study in metastatic castration-resistant prostate cancer (mCRPC) patients

Purpose: In ongoing clinical research on metastatic castration-resistant prostate cancer (mCRPC) treatment, the potential enhanced efficacy of the combination of taxanes with AR-targeted agents, that is, enzalutamide and abiraterone, is currently being explored. Because enzalutamide induces the CYP3A4 enzyme and taxanes are metabolized by this enzyme, a potential drug–drug interaction needs to be investigated. Experimental Design: Therefore, we performed a pharmacokinetic cross-over study in mCRPC patients who were scheduled for treatment with cabazitaxel Q3W (25 mg/m2). Patients were studied for three consecutive cabazitaxel cycles. Enzalutamide (160 mg once daily) was administered concomitantly after the first cabazitaxel cycle, during 6 weeks. Primary endpoint was the difference in mean area under the curve (AUC) between the first (cabazitaxel monotherapy) and third cabazitaxel cycle, when enzalutamide was added. Results: A potential clinically relevant 22% (95% CI, 9%–34%; P ¼ 0.005) reduction in cabazitaxel exposure was found with concomitant enzalutamide use. The geometric mean AUC0–24h of cabazitaxel was 181 ngh/mL (95% CI, 150–219 ngh/mL) in cycle 3 and 234 ngh/mL (95% CI, 209–261 ngh/mL) in cycle 1. This combination did not result in excessive toxicity, whereas PSA response was promising. Conclusions: We found a significant decrease in cabazitaxel exposure when combined with enzalutamide. In an era of clinical trials on combination strategies for mCRPC, it is important to be aware of clinically relevant drug–drug interactions. Because recent study results support the use of a lower standard cabazitaxel dose of 20 mg/m2, the clinical relevance of this interaction may be substantial, because the addition of enzalutamide may result in subtherapeutic cabazitaxel exposure

Association Discovery in Two-View Data

International audienceTwo-view datasets are datasets whose attributes are naturally split into two sets, each providing a different view on the same set of objects. We introduce the task of finding small and non-redundant sets of associations that describe how the two views are related. To achieve this, we propose a novel approach in which sets of rules are used to translate one view to the other and vice versa. Our models, dubbed translation tables, contain both unidirectional and bidirectional rules that span both views and provide lossless translation from either of the views to the opposite view. To be able to evaluate different translation tables and perform model selection, we present a score based on the Minimum Description Length (MDL) principle. Next, we introduce three TRANSLATOR algorithms to find good models according to this score. The first algorithm is parameter-free and iteratively adds the rule that improves compression most. The other two algorithms use heuristics to achieve better trade-offs between runtime and compression. The empirical evaluation on real-world data demonstrates that only modest numbers of associations are needed to characterize the two-view structure present in the data, while the obtained translation rules are easily interpretable and provide insight into the data

The proportion of postmenopausal breast cancer cases in the Netherlands attributable to lifestyle-related risk factors

We aimed to estimate the proportion of Dutch postmenopausal breast cancer cases in 2010 that is attributable to lifestyle-related risk factors. We calculated population attributable fractions (PAFs) of potentially modifiable risk factors for postmenopausal breast cancer in Dutch women aged >50 in 2010. First, age-specific PAFs were calculated for each risk factor, based on their relative risks for postmenopausal breast cancer (from meta-analyses) and age-specific prevalence in the population (from national surveys) around the year 2000, assuming a latency period of 10 years. To obtain the overall PAF, age-specific PAFs were summed in a weighted manner, using the age-specific breast cancer incidence rates (2010) as weights. 95 % confidence intervals for PAF estimates were derived by Monte Carlo simulations. Of Dutch women >40 years, in 2000, 51 % were overweight/obese, 55 % physically inactive (<5 days/week 30 min activity), 75 % regularly consumed alcohol, 42 % ever smoked cigarettes and 79 % had a low-fibre intake (<3.4 g/1000 kJ/day). These factors combined had a PAF of 25.7 % (95 % CI 24.2–27.2), corresponding to 2,665 Dutch postmenopausal breast cancer cases in 2010. PAFs were 8.8 % (95 % CI 6.3–11.3) for overweight/obesity, 6.6 % (95 % CI 5.2–8.0) for alcohol consumption, 5.5 % (95 % CI 4.0–7.0) for physical inactivity, 4.6 % (95 % CI 3.3–6.0) for smoking and 3.2 % (95 % CI 1.6–4.8) for low-fibre intake. Our findings imply that modifiable risk factors are jointly responsible for approximately one out of four Dutch postmenopausal breast cancer cases. This suggests that incidence rates can be lowered substantially by living a more healthy lifestyle

Expanding the methodological toolbox of HRM researchers:The added value of latent bathtub models and optimal matching analysis

Researchers frequently rely on general linear models (GLMs) to investigate the impact of human resource management (HRM) decisions. However, the structure of organizations and recent technological advancements in the measurement of HRM processes cause contemporary HR data to be hierarchical and/or longitudinal. At the same time, the growing interest in effects at different levels of analysis and over prolonged periods of time further drives the need for HRM researchers to differentiate from traditional methodology. While multilevel techniques have become more common, this article proposes two additional methods that may complement the current methodological toolbox of HRM researchers. Latent bathtub models can accurately describe the multilevel mechanisms occurring in organizations, even if the outcome resides at the higher level of analysis. Optimal matching analysis can be useful to unveil longitudinal patterns in HR data, particularly in contexts where HRM processes are measured on a continuous basis. Illustrating the methods’ applicability to research on employee engagement, this paper demonstrates that the HRM community—both research and practice—can benefit from a more diversified methodological toolbox, drawing on techniques from within and outside the direct field to improve the decision-making process

Factors Associated with Short-Term Mortality After Surgical Oncologic Emergencies

The clinical outcome of patients with oncologic emergencies is often poor and mortality is high. It is important to determine which patients may benefit from invasive treatment, and for whom conservative treatment and/or palliative care would be appropriate. In this study, prognostic factors for clinical outcome are identified in order to facilitate the decision-making process for patients with surgical oncologic emergencies. This was a prospective registration study for patients over 18 years of age, who were consulted for surgical oncologic emergencies between November 2013 and April 2014. Multiple variables were registered upon emergency consultation, and the follow-up period was 90 days. Multivariate logistic regression analysis was performed to identify factors associated with 30- and 90-day mortality. During the study period, 207 patients experienced surgical oncologic emergencies-101 (48.8 %) men and 106 (51.2 %) women, with a median age of 64 years (range 19-92). The 30-day mortality was 12.6 % and 90-day mortality was 21.7 %. Factors significantly associated with 30-day mortality were palliative intent of cancer treatment prior to emergency consultation (p = 0.006), Eastern Cooperative Oncology Group performance score (ECOG-PS) > 0 (p for trend: p = 0.03), and raised lactate dehydrogenase (LDH) (p <0.001). Additional factors associated with 90-day mortality were low handgrip strength (HGS) (p = 0.01) and low albumin (p = 0.002). Defining the intent of prior cancer treatment and the ECOG-PS are of prognostic value when deciding on treatment for patients with surgical oncologic emergencies. Additional measurements of HGS, LDH, and albumin levels can serve as objective parameters to support the clinical assessment of individual prognosis