Worked to the Bone

In the American “Wild West” the nation’s predominant paleontologists O. C. Marsh and E. D. Cope raced for the discovery of the most spectacular dinosaur fossils the world had ever seen. The “Bone Wars” not only unearthed triceratops, stegosaurus, and brontosaurus, they also made US paleontology world-famous. This book analyzes international scientific networks, carves out German influences on the evolution of US paleontology and higher education, and examines the link between the rise of US nationalism and science. So-far neglected by scholars, the perspectives of O. C. Marsh’s German assistants take center stage

Towards Practical Predicate Analysis

Software model checking is a successful technique for automated program verification. Several of the most widely used approaches for software model checking are based on solving first-order-logic formulas over predicates using SMT solvers, e.g., predicate abstraction, bounded model checking, k-induction, and lazy abstraction with interpolants. We define a configurable framework for predicate-based analyses that allows expressing each of these approaches. This unifying framework highlights the differences between the approaches, producing new insights, and facilitates research of further algorithms and their combinations, as witnessed by several research projects that have been conducted on top of this framework. In addition to this theoretical contribution, we provide a mature implementation of our framework in the software verifier that allows applying all of the mentioned approaches to practice. This implementation is used by other research groups, e.g., to find bugs in the Linux kernel, and has proven its competitiveness by winning gold medals in the International Competition on Software Verification. Tools and approaches for software model checking like our predicate analysis are typically evaluated using performance benchmarking on large sets of verification tasks. We have identified several pitfalls that can silently arise during benchmarking, and we have found that the benchmarking techniques and tools that are used by many researchers do not guarantee valid results in practice, but may produce arbitrarily large measurement errors. Furthermore, certain hardware characteristics can also have nondeterministic influence on the measurements. In order to being able to properly evaluate our framework for software verification, we study the effects of these hardware characteristics, and define a list of the most important requirements that need to be ensured for reliable benchmarking. We present as solution an open-source benchmarking framework BenchExec, which in contrast to other benchmarking tools fulfills all our requirements and aims at making reliable benchmarking easy. BenchExec was already adopted by several research groups and the International Competition on Software Verification. Using the power of BenchExec we conduct an experimental evaluation of our unifying framework for predicate analysis. We study the effect of varying the SMT solver and the way program semantics are encoded in formulas across several verification algorithms and find that these technical choices can significantly influence the results of experimental studies of verification approaches. This is valuable information for both researchers who study verification approaches as well as for users who apply them in practice. Our comprehensive study of 120 different configurations would not have been possible without our highly flexible and configurable unifying framework for predicate analysis and shows that the latter is a valuable base for conducting experiments. Furthermore, we show using a comparison against top-ranking verifiers from the International Competition on Software Verification that our implementation is highly competitive and can outperform the state of the art

Design and Numerical-Method-Aided Optimization of a Novel Attachment System for Implant-Retained Dental Prostheses Using NiTi Shape Memory Alloys

While nickel-titanium (NiTi) is the primary shape memory alloy (SMA) used in endodontic instruments, restorative dental components so far have not been fabricated from SMAs. The flexibility of these materials may solve problems in implant prosthodontics resulting from non-parallel implant positions and transfer inaccuracies. Based on a prototype of a novel attachment system for implant overdentures, a finite element model was created and used for studying different loading situations and design parameters followed by numerical analysis aided design optimization. The results revealed that the basic design of the attachment is capable of compensating misalignments of supporting implants as well as transfer inaccuracies of a clinically relevant magnitude by accommodating the large deformations induced under masticatory loading upon martensitic phase transformation at almost constant stress. The application of NiTi resulted in the reduction of the reaction forces recorded in the surrounding of the supporting implant, as well, the reaction forces between male and female parts of the attachment system could be reduced which will minimize wear phenomena and subsequent maintenance costs. These effects were seen to be enhanced in the optimized design

FORMATION OF GaN NANOCRYSTALS IN SiO2/Si

Ga and N ions were implanted into a silicon dioxide layer on crystalline silicon. Ion energies were adjusted for obtaining an overlap of the depth profiles at a depth close to the surface. The chosen ion fluences result in maximum concentrations of about 9at.%. Rapid thermal annealing with halogen lamps was performed in nitrogen/ammonia ambient. Optimum annealing conditions for retaining the implanted species within the samples were found to be 1000°C and times between 30 and 120 s. Formation of Ga-N bonds was demonstrated by extended X-ray absorption fine structure measurements. Best results were obtained after annealing at 1000°C for 90 s. In this case pictures of cross section transmission electron microscopy show dark areas which are related to the higher mass of Ga atoms. High-resolution pictures reveal the existence of nanocrystals

Comparison of In Vitro and In Vivo Results Using the GastroDuo and the Salivary Tracer Technique: Immediate Release Dosage Forms under Fasting Conditions

The fasted state administration of immediate release (IR) dosage forms is often regarded as uncritical since physiological aspects seem to play a minor role for disintegration and drug release. However, recent in vivo studies in humans have highlighted that fasted state conditions are in fact highly dynamic. It was therefore the aim of this study to investigate the disintegration and drug release behavior of four different IR formulations of the probe drug caffeine under physiologically relevant conditions with the aid of the GastroDuo. One film-coated tablet and three different capsule formulations based on capsule shells either made from hard gelatin or hydroxypropylmethyl cellulose (HPMC) were tested in six different test programs. To evaluate the relevance of the data generated, the four IR formulations were also studied in a four-way cross-over study in 14 healthy volunteers by using the salivary tracer technique (STT). It could be shown that the IR formulations behaved differently in the in vitro test programs. Thereby, the simulated parameters affected the disintegration and dissolution behavior of the four IR formulations in different ways. Whereas drug release from the tablet started early and was barely affected by temperature, pH or motility, the different capsule formulations showed a longer lag time and were sensitive to specific parameters. However, once drug release was initiated, it typically progressed with a higher rate for the capsules compared to the tablet. Interestingly, the results obtained with the STT were not always in line with the in vitro data. This observation was due to the fact that the probability of the different test programs was not equal and that certain scenarios were rather unlikely to occur under the controlled and standardized conditions of clinical studies. Nonetheless, the in vitro data are still valuable as they allowed to discriminate between different formulations

Automated Cardiac Realtime MRI Evaluation

We introduce our workflow to tackle automated evaluation of cardiac realtime MRI. The key approach is inspired by Active Learning and consists of N steps. First a limited amount of Training Data is annotated by staff with expert knowledge in the domain of pediatric cardiology. With this data we train a UNet using nnU-Net (Isensee, et. al). We then predict semantic labels with the trained model and use various techniques to judge the quality of each prediction. With that we are able to label each predicted segmentation with high or low quality. Predictions judged as low quality ones, are then presented to the domain experts and are manually corrected by them. Then, we can add those high quality labels to the training data set and start a new iteration by training the model. When the quality of predictions of an entire data set to be analyzed is high enough, we go on to synchronize the data set by assembling volumes of specific cardiac-respiration combinations based on the semantic segmentations. Finally, we are able to compute the stroke volume at different respiratory phases and compare them. The workflow explained above is deployed as a Plugin for the Software "3D Slicer"

Towards a Generally Accepted Validation Methodology for Sensor Models - Challenges, Metrics, and First Results

In order to significantly reduce the testing effort of autonomous vehicles, simulation-based testing in combination with a scenario-based approach is a major part of the overall test concept. But, for sophisticated simulations, all applied models have to be validated beforehand, which is the focus of this paper. The presented validation methodology for sensor system simulation is based on a state-of-the-art analysis and the derived necessary improvements. The lack of experience in formulating requirements and providing adequate metrics for their usage in sensor model validation, in contrast to e.g. vehicle dynamics simulation, is addressed. Additionally, the importance of valid measurement and reference data is pointed out and especially the challenges of repeatability and reproducibility of trajectories and measurements of perception sensors in dynamic multi-object scenarios are shown. The process to find relevant scenarios and the resulting parameter space to be examined is described. At the example of lidar point clouds, the derivation of metrics with respect to the requirements is explained and exemplary evaluation results are summarized. Based on this, extensions to the state-of-the-art model validation method are provided

Incidence and severity of paravalvular aortic regurgitation with multidetector computed tomography nominal area oversizing or undersizing after transcatheter heart valve replacement with the Sapien 3 : a comparison with the Sapien XT.

Objectives : This study sought to compare the influence of the extent of multidetector computed tomography (MDCT) area oversizing on the incidence of paravalvular aortic regurgitation (PAR) between the Sapien 3 and the Sapien XT transcatheter heart valve (THV) to define a new MDCT sizing guideline suitable for the Sapien 3 platform. Background : The inverse relationship of PAR occurrence and oversizing has been demonstrated for the Sapien XT but the incidence of PAR with comparable oversizing with the Sapien 3 is not known. Methods : Sixty-one prospectively enrolled patients who underwent transcatheter aortic valve replacement with the Sapien 3 THV were compared with 92 patients who underwent transcatheter aortic valve replacement with the Sapien XT THV. Patients were categorized depending on the degree of MDCT area oversizing percentage: undersizing (below 0%), 0% to 5%, 5% to 10%, and above 10%. The primary endpoint was mild or greater PAR on transthoracic echocardiography. Results : Mild or greater PAR was present in 19.7% of patients (12 of 61) in the Sapien 3 group and in 54.3% of patients (50 of 92) in the Sapien XT group (p 10% (p for interaction = 0.54). Moderate or severe PAR rates were also lower in the Sapien 3 group than in the Sapien XT group (3.3% vs. 13.0%, p = 0.04). In the Sapien 3 group, a MDCT area oversizing percentage value of =4.17% was identified as the optimal cutoff value to discriminate patients with or without mild or greater PAR. Conclusions : Our retrospective analysis suggests that the Sapien 3 THV displays significantly lower rates of PAR than does the Sapien XT THV. A lesser degree of MDCT area oversizing may be employed for this new balloon-expandable THV