Energy harvesting through arterial wall deformation: A FEM approach to fluid–structure interactions and magneto-hydrodynamics

Engineers are confronted with the energy demand of active medical implants in patients with increasing life expectancy. Scavenging energy from the patient’s body is envisioned as an alternative to conventional power sources. Joining in this effort towards human-powered implants, we propose an innovative concept that combines the deformation of an artery resulting from the arterial pressure pulse with a transduction mechanism based on magneto-hydrodynamics. To overcome certain limitations of a preliminary analytical study on this topic, we demonstrate here a more accurate model of our generator by implementing a three-dimensional multiphysics finite element method (FEM) simulation combining solid mechanics, fluid mechanics, electric and magnetic fields as well as the corresponding couplings. This simulation is used to optimize the generator with respect to several design parameters. A first validation is obtained by comparing the results of the FEM simulation with those of the analytical approach adopted in our previous study. With an expected overall conversion efficiency of 20% and an average output power of 30 μW, our generator outperforms previous devices based on arterial wall deformation by more than two orders of magnitude. Most importantly, our generator provides sufficient power to supply a cardiac pacemaker.

The hp-adaptive FEM based on continuous Sobolev embeddings: isotropic refinements

The aim of this paper is to present a new class of smoothness testing strategies in the context of hp-adaptive refinements based on continuous Sobolev embeddings. In addition to deriving a modified form of the 1d smoothness indicators introduced in [26], they will be extended and applied to a higher dimensional framework. A few numerical experiments in the context of the hp-adaptive FEM for a linear elliptic PDE will be performed.

FEM/FD Immersed Boundary FSI Simulations

Immersed boundary simulations have been under development for physiological flows, allowing for elegant handling of fluid-structure interaction modelling with large deformations due to retained domain-specific meshing. We couple a structural system in Lagrangian representation that is formulated in a weak form with a Navier-Stokes system discretized through a finite differences scheme. We build upon a proven highly scalable imcompressible flow solver that we extend to handle FSI. We aim at applying our method to investigating the hemodynamics of Aortic Valves. The code is going to be extended to conform to the new hybrid-node supercomputers.

Thermal model for optimization of vascular laser tissue soldering

Laser tissue soldering (LTS) is a promising technique for tissue fusion based on a heat-denaturation process of proteins. Thermal damage of the fused tissue during the laser procedure has always been an important and challenging problem. Particularly in LTS of arterial blood vessels strong heating of the endothelium should be avoided to minimize the risk of thrombosis. A precise knowledge of the temperature distribution within the vessel wall during laser irradiation is inevitable. The authors developed a finite element model (FEM) to simulate the temperature distribution within blood vessels during LTS. Temperature measurements were used to verify and calibrate the model. Different parameters such as laser power, solder absorption coefficient, thickness of the solder layer, cooling of the vessel and continuous vs. pulsed energy deposition were tested to elucidate their impact on the temperature distribution within the soldering joint in order to reduce the amount of further animal experiments. A pulsed irradiation with high laser power and high absorbing solder yields the best results.

Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware

Many methodologies dealing with prediction or simulation of soft tissue deformations on medical image data require preprocessing of the data in order to produce a different shape representation that complies with standard methodologies, such as mass–spring networks, finite element method s (FEM). On the other hand, methodologies working directly on the image space normally do not take into account mechanical behavior of tissues and tend to lack physics foundations driving soft tissue deformations. This chapter presents a method to simulate soft tissue deformations based on coupled concepts from image analysis and mechanics theory. The proposed methodology is based on a robust stochastic approach that takes into account material properties retrieved directly from the image, concepts from continuum mechanics and FEM. The optimization framework is solved within a hierarchical Markov random field (HMRF) which is implemented on the graphics processor unit (GPU See Graphics processing unit ).

The pollen tube: a soft shell with a hard core

Plant cell expansion is controlled by a fine-tuned balance between intracellular turgor pressure, cell wall loosening and cell wall biosynthesis. To understand these processes, it is important to gain in-depth knowledge of cell wall mechanics. Pollen tubes are tip-growing cells that provide an ideal system to study mechanical properties at the single cell level. With the available approaches it was not easy to measure important mechanical parameters of pollen tubes, such as the elasticity of the cell wall. We used a cellular force microscope (CFM) to measure the apparent stiffness of lily pollen tubes. In combination with a mechanical model based on the finite element method (FEM), this allowed us to calculate turgor pressure and cell wall elasticity, which we found to be around 0.3 MPa and 20–90 MPa, respectively. Furthermore, and in contrast to previous reports, we showed that the difference in stiffness between the pollen tube tip and the shank can be explained solely by the geometry of the pollen tube. CFM, in combination with an FEM-based model, provides a powerful method to evaluate important mechanical parameters of single, growing cells. Our findings indicate that the cell wall of growing pollen tubes has mechanical properties similar to rubber. This suggests that a fully turgid pollen tube is a relatively stiff, yet flexible cell that can react very quickly to obstacles or attractants by adjusting the direction of growth on its way through the female transmitting tissue.

FE-Simulation in der klinischen Osteoporoseforschung

Altersbedingte Osteoporose erhöht des Frakturrisiko. Übliche Diagnoseverfahren basieren auf DXA. Leider sind diese ungenau und erklären oft nicht die Effekte von Behandlungen. Eine neue Methode zur Bestimmung der Knochenfestigkeit beginnt derzeit, sich zu etablieren – die Finite-Elemente-Methode (FEM). Diese universelle, im Bereich der Technik weit verbreitete, Methode erlaubt es, die Diagnose und den Behandlungserfolg besser vorauszusagen als DXA. CT-basierende FE-Modelle sind stark von der Bildauflösung abhängig. In diesem Überblicksartikel werden drei unterschiedliche Modelltypen (μCT, HR-pQCT, QCT) vorgestellt und die Ergebnisse von densitometrischen und FE-Analysen verglichen. Dabei waren die FE-Ergebnisse den densitometrischen immer überlegen. Darüber hinaus erlaubt die FEM die Angabe eines biomechanischen Frakturrisikos. Dieser Vorteil der FE-Methode muss jedoch im Licht der höheren Röntgendosen und Betriebskosten der CT-Bildgebung betrachtet werden. Zukünftig wird die FE-Methode klinisch eine weite Verbreitung finden – die Frage ist nur wann und wie!

How women and men are addressed in job advertisements

Research has shown that gender references in job advertisements play an important role for gender (in)equality in personnel selection. In advertisements gender is referred to in different ways, for instance, by using grammatically masculine and feminine human nouns (e.g., German Mechaniker/Mechanikerin 'mechanic, masc./fem.'), by mentioning typically feminine or typically masculine traits (e.g., kind and friendly versus determined and independent) as well as by showing pictures of women and men. The present study addresses the questions which forms of gender references occur in job advertisements, how these forms are distributed across different lines of business and across different countries. We collected job advertisements published online in four countries with different rankings of gender equality (i.e., Switzerland, Austria, Poland, and Czech Republic; World Economic Forum, 2011). We randomly selected 100 advertisements per country from four lines of business that are characterized by different proportions of female and male employees: (1) steels/metals, (2) science, (3) restaurants/food services, and (4) health care. The advertisements were analyzed with regard to the linguistic form of the job title and of the remaining text as well as reference to gender-typical traits. We also examined indicators of job status and other information (e.g., equal opportunity policies) which might be related to the use of gender references in job advertisements. The results show that, in general, gender-fair language occurs much more often in job ads from Switzerland and Austria than in those from Poland and the Czech Republic, where job titles are mostly masculine. While exclusive use of feminine forms are almost never used in Switzerland and Austria, they are more frequently used in Poland and Czech Republic. In general, gender-fair forms are more common when there are many women in a line of business, whereas more masculine forms are used where the proportion of women is low. In Switzerland and Austria, masculine forms are mostly combined with the supplement m/f to indicate that both women and men are addressed. The present data provide a sound basis for future studies on gender references in job advertisements. Furthermore it sheds a light on how companies comply with national guidelines of gender equality.

Gender-fair language in the context of leadership: Preventing the lack of fit for women

Women are still underrepresented in leadership due to a perceived a ‘lack of fit’. Thus, women are hired less likely, evaluated unfavorably or are less willing to take over a leadership role than their male counterparts. Because gender-fair language (e.g., feminine-masculine word pairs, German: ‘Geschäftsführerin/Geschäftsführer’, CEO, fem./CEO, masc.) leads to a higher mental inclusion of women compared to generic masculine forms (German: ‘Geschäftsführer’, CEO,masc.), we argue that masculine forms endorse the ‘lack of fit’ for women in leadership, whereas gender-fair language reduces it. Three studies support our assumption. Masculine forms led to a ‘lack of fit’ for women in leader selection: they were hired less likely (Study 1) and evaluated less favorably (Study 2) than their male counterparts. Moreover, women showed less willingness to apply when masculine forms were used in the advertisement for a leadership position. Contrary, no such gender-bias was obtained in case of gender-fair language.

Gender-Fair Language in Organizations: Attracting Potential Leaders and Promoting the Organizational Image of Gender Equality

In many languages, masculine generics are the traditional way of referring to women and men. However, gender-fair forms (e.g., feminine-masculine word pairs) can enhance gender equality: for instance, they counteract male biases in mental associations (Stahlberg et al., 2007) and evoke more neutral perceptions of gender-stereotypical professions (Merkel et al., 2013). Compared to masculine forms, use of gender-fair language in advertisements for leadership positions also helps to achieve gender equality in hiring decisions (e.g., use of German Geschäftsführerin/Geschäftsführer 'CEO fem/masc' instead of Geschäftsführer 'CEO masc', cf. Horvath & Sczesny, 2012). The present research investigates how potential applicants react to the use of gender-fair vs. masculine forms in German job ads for leadership positions (Study 1) and how the respective organization is perceived in response to these forms (Study 2). In Study 1, 251 participants showed higher intentions to apply for a leadership position when it was advertised with a feminine-masculine word pair instead of a masculine form; this was mediated by job appeal and organizational attraction. In Study 2, 154 participants perceived the organization as more discriminatory when masculine forms were used. This was mediated by the organizational image of gender equality. Thus, gender-fair language affects the social perception of a job and the respective organization and can impact social behavior in an organizational context.

Reducing women’s lack of fit with leadership? Effects of the wording of job advertisements

Linguistic forms which refer to individuals impact mental representations of these individuals: When masculine generics are used, women tend to be cognitively underrepresented, whereas feminine–masculine word pairs are associated with a higher cognitive inclusion of women. The present research investigates whether linguistic forms affect women’s perceived lack of fit with leadership positions, which is particularly pronounced for high-status leadership positions. In a hiring-simulation experiment (N = 363), we tested the effects of different linguistic forms used in German-language job advertisements: (1) masculine forms (e.g., Geschäftsführer, ‘CEO, masc.’); (2) masculine forms with (m/f) (e.g., Geschäftsführer (m/w), ‘CEO, masc. (m/f)’); and (3) word pairs (e.g., Geschäftsführerin/Geschäftsführer, ‘CEO, fem./CEO, masc.’). The job ads announced either a high- or low-status leadership position. Results showed that female applicants were perceived to fit less well with the high-status position than male applicants when either the masculine or the masculine form with (m/f) was used––even though they were perceived to be equally competent. However, female and male applicants were perceived as fitting the high-status leadership position similarly well when word pairs were used.

Does gender-fair language pay off? The social perception of professions from a cross-linguistic perspective

In many languages, masculine forms (e.g., German Lehrer, “teachers, masc.”) have traditionally been used to refer to both women and men, although feminine forms are available, too. Feminine-masculine word pairs (e.g., German Lehrerinnen und Lehrer, “teachers, fem. and teachers, masc.”) are recommended as gender-fair alternatives. A large body of empirical research documents that the use of gender-fair forms instead of masculine forms has a substantial impact on mental representations. Masculine forms activate more male representations even when used in a generic sense, whereas word pairs (e.g., German Lehrerinnen und Lehrer, “teachers, fem. and teachers, masc.”) lead to a higher cognitive inclusion of women (i.e., visibility of women). Some recent studies, however, have also shown that in a professional context word pairs may be associated with lesser status. The present research is the first to investigate both effects within a single paradigm. A cross-linguistic (Italian and German) study with 391 participants shows that word pairs help to avoid a male bias in the gender-typing of professions and increase women's visibility; at the same time, they decrease the estimated salaries of typically feminine professions (but do not affect perceived social status or competence). This potential payoff has implications for language policies aiming at gender-fairness.