Intralocus sexual conflict can resolve the male-female health-survival paradox

This is the final version. Available on open access from Springer Nature via the DOI in this recordAt any given age, men are more likely to die than women, but women have poorer health at older ages. This is referred to as the “male-female, health-survival paradox”, which is not fully understood. Here, we provide a general solution to the paradox that relies on intralocus sexual conflict, where alleles segregating in the population have late-acting positive effects on male fitness, but negative effects on female health. Using an evolutionary modelling framework we show that male-benefit, female-detriment alleles can spread if they are expressed after female reproduction stops. We provide support for our conflict based solution using experimental Drosophila data. Our results show that selecting for increased late-life male reproductive effort can increase male fitness but have a detrimental effect on female fitness. Furthermore, we show that late-life male fertility is negatively genetically correlated with female health. Our study suggests that intralocus sexual conflict could resolve the health-survival paradoxWe thank the National Science Center (Poland: 2013/09/N/NZ/NZ8/03231) and the Leverhulme Trust (UK: RF-2015-01) for funding which partially supported this work, and the University of Exeter’s Dean’s Fellowship for additional support

Celebrating HICSS50: The Past, Present, and Future of HICSS

The Hawaii International Conference on System Sciences (HICSS) celebrated its 50th anniversary (HICSS-50) in January, 2017. To mark the occasion and to pay respect to the significant standing of this conference in the global IS community, the Communications of the Association for Information Systems (CAIS) organized a special section on “Celebrating HICSS50: The Past, Present, and Future of HICSS Conference”. In this editorial, we share the guest editors’ perspectives on HICSS and summarize the three papers in the special section

Issues in modern bone histomorphometry

This review reports on proceedings of a bone histomorphometry session conducted at the Fortieth International IBMS Sun Valley Skeletal Tissue Biology Workshop held on August 1, 2010. The session was prompted by recent technical problems encountered in conducting histomorphometry on bone biopsies from humans and animals treated with anti-remodeling agents such as bisphosphonates and RANKL antibodies. These agents reduce remodeling substantially, and thus cause problems in calculating bone remodeling dynamics using in vivo fluorochrome labeling. The tissue specimens often contain few or no fluorochrome labels, and thus create statistical and other problems in analyzing variables such as mineral apposition rates, mineralizing surface and bone formation rates. The conference attendees discussed these problems and their resolutions, and the proceedings reported here summarize their discussions and recommendations

Analysis of symmetries in models of multi-strain infections

In mathematical studies of the dynamics of multi-strain diseases caused by antigenically diverse pathogens, there is a substantial interest in analytical insights. Using the example of a generic model of multi-strain diseases with cross-immunity between strains, we show that a significant understanding of the stability of steady states and possible dynamical behaviours can be achieved when the symmetry of interactions between strains is taken into account. Techniques of equivariant bifurcation theory allow one to identify the type of possible symmetry-breaking Hopf bifurcation, as well as to classify different periodic solutions in terms of their spatial and temporal symmetries. The approach is also illustrated on other models of multi-strain diseases, where the same methodology provides a systematic understanding of bifurcation scenarios and periodic behaviours. The results of the analysis are quite generic, and have wider implications for understanding the dynamics of a large class of models of multi-strain diseases

Grain size prediction during open die forging processes

One of the most important target parameters during open die forging is the microstructure, respectivelythe grain size. This paper details different semi-empiric models that ultimately help to predict the microstructureproperties of a forged block. As a first step, trials in industrial scale were performed by Buderus EdelstahlGmbH and attended by SMS Meer GmbH. The collected process data was used by the Institute of Metal Forming(IBF) for the numerical analysis of the open die forging process and to validate the microstructure predictionmodule STRUCSIM. The numerical prediction of the grain size shows a good agreement with the resultsobtained from the metallography. In a second step models for the core fibre of a forged block were developedat the IBF. The models use data from the online process measurement and simplified plastomechanicalinterrelations for the calculation of equivalent strain and the temperature in the core of the forged part duringthe process. With their results the microstructure in the core fibre of the workpiece can be predicted online.The models are still in development and the most recent results will be presented in this paper

Voltammetric determination of indomenthyl

Cytokines are important mediators coordinating inflammation and wound healing in response to tissue damage and infection. Therefore, immobilization of cytokines on the surface of biomaterials is a promising approach to improve biocompatibility. Soluble cytokines signal through receptors on the cell surface leading to cell differentiation, proliferation, or other effector functions. Random immobilization of cytokines on surfaces will result in a large fraction of inactive protein due to impaired cytokine-receptor interaction. We developed a strategy that combined (i) directed covalent coupling of cytokines, (ii) quantification of coupling efficiency through fluorescence detection, and (iii) a reliable protease cleavage assay to control orientation of coupling. For this purpose, fusion proteins of the SNAP-tag followed by an enterokinase recognition site, yellow fluorescent protein (YFP), and the cytokine of interest being either interleukin-6 (IL-6) or oncostatin M (OSM) were generated. The SNAP-tag is a derivative of O6-alkylguanine-DNA alkyltransferase that couples itself covalently to benzylguanine. Bioactivities of the SNAP-YFP-cytokines were shown to be comparable with the nontagged cytokines. Efficient coupling of SNAP-YFP-cytokines to benzylguanine-modified beads was demonstrated by flow cytometry. The fact that enterokinase treatment released most of the fluorescence from the beads is indicative for directed coupling and only marginal adsorptive binding. Cellular responses to SNAP-YFP-cytokine beads were analyzed in cellular lysates and by confocal microscopy indicating that the directionally immobilized cytokines are fully signaling competent with respect to the activation of ERK and STAT3. The strategy presented here is generally applicable for the directed covalent immobilization of fluorescently labeled proteins including the convenient and reliable control of coupling efficiency and orientation

Using Insights from Cognitive Neuroscience to Investigate the Effects of Event-Driven Process Chains on Process Model Comprehension

Business process models have been adopted by enterprises for more than a decade. Especially for domain experts, the comprehension of process models constitutes a challenging task that needs to be mastered when creating or reading these models. This paper presents the results we obtained from an eye tracking experiment on process model comprehension. In detail, individuals with either no or advanced expertise in process modeling were confronted with models expressed in terms of Event-driven Process Chains (EPCs), reflecting different levels of difficulty. The first results of this experiment confirm recent findings from one of our previous experiments on the reading and comprehension of process models. On one hand, independent from their level of exper-tise, all individuals face similar patterns, when being confronted with process models exceeding a certain level of difficulty. On the other, it appears that process models expressed in terms of EPCs are perceived differently compared to process models specified in the Business Process Model and Notation (BPMN). In the end, their generalization needs to be confirmed by additional empirical experiments. The presented expe-riment continues a series of experiments that aim to unravel the factors fostering the comprehension of business process models by using methods and theories stemming from the field of cognitive neuroscience and psychology

Canalization of the evolutionary trajectory of the human influenza virus

Since its emergence in 1968, influenza A (H3N2) has evolved extensively in genotype and antigenic phenotype. Antigenic evolution occurs in the context of a two-dimensional 'antigenic map', while genetic evolution shows a characteristic ladder-like genealogical tree. Here, we use a large-scale individual-based model to show that evolution in a Euclidean antigenic space provides a remarkable correspondence between model behavior and the epidemiological, antigenic, genealogical and geographic patterns observed in influenza virus. We find that evolution away from existing human immunity results in rapid population turnover in the influenza virus and that this population turnover occurs primarily along a single antigenic axis. Thus, selective dynamics induce a canalized evolutionary trajectory, in which the evolutionary fate of the influenza population is surprisingly repeatable and hence, in theory, predictable.Comment: 29 pages, 5 figures, 10 supporting figure