Liposomes in Biology and Medicine

Drug delivery systems (DDS) have become important tools for the specific delivery of a large number of drug molecules. Since their discovery in the 1960s liposomes were recognized as models to study biological membranes and as versatile DDS of both hydrophilic and lipophilic molecules. Liposomes--nanosized unilamellar phospholipid bilayer vesicles--undoubtedly represent the most extensively studied and advanced drug delivery vehicles. After a long period of research and development efforts, liposome-formulated drugs have now entered the clinics to treat cancer and systemic or local fungal infections, mainly because they are biologically inert and biocompatible and practically do not cause unwanted toxic or antigenic reactions. A novel, up-coming and promising therapy approach for the treatment of solid tumors is the depletion of macrophages, particularly tumor associated macrophages with bisphosphonate-containing liposomes. In the advent of the use of genetic material as therapeutic molecules the development of delivery systems to target such novel drug molecules to cells or to target organs becomes increasingly important. Liposomes, in particular lipid-DNA complexes termed lipoplexes, compete successfully with viral gene transfection systems in this field of application. Future DDS will mostly be based on protein, peptide and DNA therapeutics and their next generation analogs and derivatives. Due to their versatility and vast body of known properties liposome-based formulations will continue to occupy a leading role among the large selection of emerging DDS

All’s Well That Ends Well? On the Importance of how Returns are Achieved

Contains fulltext : 1777966_pre.pdf (preprint version ) (Open Access) Contains fulltext : 177966_pub.pdf (publisher's version ) (Closed access)We demonstrate that investor satisfaction and investment behavior are influenced substantially by the price path by which the final investor return is achieved. In a series of experiments, we analyze various different price paths. Investors are most satisfied if their assets first fall in value and then recover, and they are least satisfied with the opposite pattern, independent of whether the final return is positive or negative. Price paths systematically influence risk preferences, return beliefs, and ultimately trading decisions. Our results enable a much more holistic perspective on a wide range of topics in finance, such as the disposition effect, risk-taking behavior after previous gains and losses, and behavioral asset pricing

What makes an investment risky? An analysis of price path characteristics

Contains fulltext : 209772.pdf (preprint version ) (Open Access

Greed and Individual Trading Behavior in Experimental Asset Markets

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Analysis of the uniaxial and multiaxial mechanical response of a tissue-engineered vascular graft

Tissue engineering is aimed at the fabrication of autologous cardiovascular implants, for example, heart valves or vascular grafts. To date, the mechanical characterization of tissue-engineered vascular grafts (TEVGs) has focused mainly on the material's strength and not on the deformation behavior. A total of 31 samples obtained from 3 mature grafts (out of the cells of a single donor) were tested in uniaxial stress and uniaxial strain configurations to characterize their stiffness under uniaxial and biaxial stress states, respectively. Corresponding measurements were carried out on samples of an ovine artery. A physiological stiffness parameter was defined for data analysis and the uniaxial and multiaxial response compared, also in terms of anisotropy. The tension-strain curve of uniaxial stress tests is highly nonlinear, whereas the results show a more gradual deformation response of the material under a uniaxial strain configuration, which better represents the physiological state of biaxial stress. Stiffness parameters and anisotropy factors are significantly influenced by the selection of the testing configuration. Tangent stiffness of a TEVG at physiological loading conditions is significantly (p<0.05) higher for uniaxial stress as compared to uniaxial strain. The same is observed for the ovine tissue. The anisotropy of the scaffold is shown to partially transfer to the mature TEVG. The results of this study show that for a TEVG characterization, a physiological biaxial testing configuration should be preferred to the commonly used uniaxial stress

Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs

Does competition affect moral behavior? This fundamental question has been debated among leading scholars for centuries, and more recently, it has been tested in experimental studies yielding a body of rather inconclusive empirical evidence. A potential source of ambivalent empirical results on the same hypothesis is design heterogeneity?variation in true effect sizes across various reasonable experimental research protocols. To provide further evidence on whether competition affects moral behavior and to examine whether the generalizability of a single experimental study is jeopardized by design heterogeneity, we invited independent research teams to contribute experimental designs to a crowd-sourced project. In a large-scale online data collection, 18,123 experimental participants were randomly allocated to 45 randomly selected experimental designs out of 95 submitted designs. We find a small adverse effect of competition on moral behavior in a meta-analysis of the pooled data. The crowd-sourced design of our study allows for a clean identification and estimation of the variation in effect sizes above and beyond what could be expected due to sampling variance. We find substantial design heterogeneity?estimated to be about 1.6 times as large as the average standard error of effect size estimates of the 45 research designs?indicating that the informativeness and generalizability of results based on a single experimental design are limited. Drawing strong conclusions about the underlying hypotheses in the presence of substantive design heterogeneity requires moving toward much larger data collections on various experimental designs testing the same hypothesis