Perceptions of ideal and former partner's personality and similarity

The present study aimed to test predictions based on both the ‗similarity-attraction‘ hypothesis and the ‗attraction-similarity‘ hypothesis, by studying perceptions of ideal and former partners. Based on the ‗similarity-attraction‘ hypothesis, we expected individuals to desire ideal partners who are similar to the self in personality. In addition, based on the ‗attraction-similarity hypothesis‘, we expected individuals to perceive former partners as dissimilar to them in terms of personality. Findings showed that, whereas the ideal partner was seen as similar to and more positive than the self, the former partner was seen as dissimilar to and more negative than the self. In addition, our study showed that individuals did not rate similarity in personality as very important when seeking a mate. Our findings may help understand why so many relationships end in divorce due to mismatches in personality

Derivation of a wear scar geometry-independent coefficient of friction from fretting loops exhibiting non-Coulomb frictional behaviour

One source of variation of the sliding tractional force in a gross-slip fretting cycle is the geometrical interaction of the developing wear scars on the opposing specimens. An existing model has been developed to include the compliance of the fretting test apparatus. It has thus been demonstrated that through the influence on the tractional force, the geometrical development of the wear scars affects the slip amplitude and the dissipation of frictional energy in each loop. A method to determine a coefficient of friction which is independent of system stiffness and developments in the geometry of the wear scars is proposed

Towards personalized treatment of pain using a quantitative systems pharmacology approach

Pain is a complex biopsychosocial phenomenon of which the intensity, location and duration depends on various underlying components. Treatment of pain is associated with considerable inter-individual variability, and as such, requires a personalized approach. However, a priori prediction of optimal analgesic treatment for individual patients is still challenging. Another challenge is the assessment and treatment of pain in patients unable to self-report pain. In this mini-review, we first provide a brief overview of the various components underlying pain, and their associated biomarkers. These include clinical, psychosocial, neurophysiological, and biochemical components. We then discuss the use of empirical and mechanism-based pharmacokinetic-pharmacodynamic modelling to support personalized treatment of pain. Finally, we propose how these concepts can be extended to a quantitative systems pharmacology (QSP) approach that integrates the components of clinical pain and treatment response. This integrative approach can support predictions of optimal pharmacotherapy of pain, compared with approaches that focus on single components of pain. Moreover, combination of QSP modelling with state-of-the-art metabolomics approaches may offer unique possibilities to identify novel pain biomarkers. Such biomarkers could support both the personalized treatment of pain and translational drug development of novel analgesic agents. In conclusion, a QSP approach will likely improve our ability to predict pain and treatment response, paving the way for personalized treatment of pain

Small but significant excess mortality compared with the general population for long-term survivors of breast cancer in the Netherlands

Background: Coinciding with the relatively good and improving prognosis for patients with stage I-III breast cancer, late recurrences, new primary tumours and late side-effects of treatment may occur. We gained insight into prognosis for long-term breast cancer survivors. Patients and methods: Data on all 205 827 females aged 15-89 diagnosed with stage I-III breast cancer during 1989-2008 were derived from the Netherlands Cancer Registry. Conditional 5-year relative survival was calculated for every subsequent year from diagnosis up to 15 years. Results: For stage I, conditional 5-year relative survival remained ~95% up to 15 years after diagnosis (a stable 5-year excess mortality rate of 5%). For stage II, excess mortality remained 10% for those aged 15-44 or 45-59 and 15% for those aged 60-74. For stage III, excess mortality decreased from 35% at diagnosis to 10% at 15 years for those aged 15-44 or 45-59, and from ~40% to 30% for those aged ≥60. Conclusions: Patients with stage I or II breast cancer had a (very) good long-term prognosis, albeit exhibiting a small but significant excess mortality at least up to 15 years after diagnosis

The Psycho-Lexical Approach in Exploring the Field of Values:A reply to Schwartz

We reply to each of the issues raised by Schwartz in a commentary on our article on a comparison of value taxonomies. We discuss two approaches, mentioned in that commentary, the lexical approach and the theory-driven approach, especially with respect to their capacities in covering the domain of values and with respect to the representation of important values in a useful structure. We refute the critique by Schwartz that the lexical approach is superfluous, because his theory “toward universals in values” would already cover all values, and that their mutual relationships are relevant to individuals around the globe. We explain the necessity and strength of the lexical approach in taxonomizing the value domain, both within and across languages. Furthermore, we argue that principal components analysis (PCA) and simultaneous component analysis (SCA) are most adequate in arriving at a satisfactory structuring of the great many values in terms of both underlying constructs and their facets. We point to a misrepresentation in Schwartz’s circular model, and we review some misunderstandings on the side of Schwartz with respect to our results in comparison with those proceeding from his circular model

Detection of alpha-toxin and other virulence factors in biofilms of staphylococcus aureus on polystyrene and a human epidermalmodel

Background & Aim: The ability of Staphylococcus aureus to successfully colonize (a)biotic surfaces may be explained by biofilm formation and the actions of virulence factors. The aim of the present study was to establish the presence of 52 proteins, including virulence factors such as alpha-toxin, during biofilm formation of five different (methicillin resistant) S. aureus strains on Leiden human epidermal models (LEMs) and polystyrene surfaces (PS) using a competitive Luminex-based assay. Results: All five S. aureus strains formed biofilms on PS, whereas only three out of five strains formed biofilms on LEMs. Out of the 52 tested proteins, six functionally diverse proteins (ClfB, glucosaminidase, IsdA, IsaA, SACOL0688 and nuclease) were detected in biofilms of all strains on both PS and LEMs. At the same time, four toxins (alpha-toxin, gamma-hemolysin B and leukocidins D and E), two immune modulators (formyl peptide receptor-like inhibitory protein and Staphylococcal superantigen-like protein 1), and two other proteins (lipase and LytM) were detectable in biofilms by all five S. aureus strains on LEMs, but not on PS. In contrast, fibronectinbinding protein B (FnbpB) was detectable in biofilms by all S. aureus biofilms on PS, but not on LEMs. These data were largely confirmed by the results from proteomic and transcriptomic analyses and in case of alpha-toxin additionally by GFP-reporter technology. Conclusion: Functionally diverse virulence factors of (methicillin-resistant) S. aureus are present during biofilm formation on LEMs and PS. These results could aid in identifying novel targets for future treatment strategies against biofilm-associated infections