Endress+Hauser (Switzerland)

Abstract Background A comprehensive invasive functional assessment in the catheterization laboratory is an important part of the guideline-directed management of patients with chronic coronary syndromes. The induction of maximal coronary hyperemia is a mandatory step during the measurement of hyperemic indexes such as fractional flow reserve (FFR), coronary flow reserve (CFR), and index of microcirculatory reserve (IMR). Papaverine is one of the hyperemic agents that allows for the induction of stable and prolonged hyperemia. However, this drug has been reported to increase the risk of ventricular arrhythmias with reported rates of events between 1.7-5% Purpose To evaluate the feasibility and safety of hyperemic protocol using initial intravenous administration of lidocaine followed by intracoronary papaverine for hyperemia induction in patients undergoing invasive coronary functional assessment. Methods This is a single-center prospective study that included patients with chronic coronary syndrome referred for invasive coronary angiography. Patients underwent a comprehensive functional assessment with measurement of FFR, CFR, and IMR. Initially, all patients received 100 mg of lidocaine i.v.,followed by intracoronary papaverine administration (20 mg into the left and 10 mg into the right coronary arteries). The rate of arrhythmic events was recorded. Results A total of 363 patients with chronic coronary syndrome were included in the study. The mean age was 67 ± 9 years, 69% males, 96% with dyslipidemia, 64% smokers, 29% diabetics, 18% with previous myocardial infarction, 31% with previous PCI, 6% with peripheral artery disease, 12% with previous stroke, 6% with COPD. The mean left ventricular ejection fraction was 55 ± 9%. In 36% of the patients (n=130) a functional significant stenosis with an FFR ≤0.80 was found and those patients with obstructive CAD underwent PCI. In 48% of the patients (n = 174) a microvascular dysfunction was registered with an abnormal result of CFR and/or IMR. In the rest 16.3% of the patients no abnormality was registered. A total of 6 (1.6%) ventricular arrhythmic events were registered after papaverine administration. Those episodes of ventricular tachycardia and fibrillation required 200J biphasic defibrillation. Additionally, one episode of atrial fibrillation was registered and was self-terminated. All patients restored sinus rhythm and were hemodynamically stable at the end of the procedure. Conclusion A protocol of initial administration of lidocaine before intracoronary papaverine injection may reduce the arrhythmic events during invasive coronary functional assessment.

Heidenheim. Mit Textbeiträgen von Manfred Akermann, Kurt Bittel, Martin Hornung. Abb. nach Aufn. von Rolf Lindel [u.a.]. (=Thorbecke Bildbücher, Bd. 68). Sigmaringen: Thorbecke 1985. 104 S.

Abstract Welding is a fabrication process used to join or fuse two mechanical parts. Modern welding machines have automated lasers that follow a predefined weld seam path between the two parts to create a bond. Previous efforts have used simple computer vision edge detectors to automatically detect the weld seam on an image at the junction of two metals to be welded. However, these systems lack reliability and accuracy resulting in manual human verification of the detected edges. This paper presents a neural network architecture that automatically detects the weld seam edge between two metals with high accuracy. We augment this system with a preclassifier that filters out anomalous workpieces (e.g., incorrect placement). Finally, we justify our design choices by evaluating against several existing deep network pipelines as well as proof through real‐world use. We also describe in detail the process of deploying the system in a real‐world shop floor including evaluation and monitoring. We make public a large well‐labeled laser seam dataset to perform deep learning‐based edge detection in industrial settings.

In this contribution a newly developed metal detector to be carried by an UAV for humanitarian demining is presented and discussed. The effect of minimizing the soil response (clutter) in a CW MD (continuous wave – metal detector) based on a Double-D configuration by using different Morse wavelets for wavelet transform will be presented and discussed for concept validation.

Markus Bauer, Der Münsterbezirk von Konstanz. Domherrenhöfe und Pfründhäuser der Münsterkapläne im Mittelalter (Konstanzer Geschichts- und Rechtsquellen, NF der Konstanzer Stadtrechtsquellen, Bd. 35), Sigmaringen (Thorbecke) 1995. 335 S., 1 Plan.

Alcohol in the early modern city. Official regulation and strategies of competition. Beginning in the 16th century, with the emergence of the modern legislative state, the need for regulation of urban economic matters, including that of alcoholic beverages, increased. This affected areas such as import, market, gastronomy, etc. Above all, the police law should ensure order in the city. The introduction of taxes on beer, wine and brandy contributed to the development of the civil service and financial state, and in Salzburg also the structural redesign of the city. There was fierce competition between the inns, which also resulted in violations of the law. Enforcing the government regulations proved difficult and led to discussions, disputes and sanctions.

The process of speaker recognition in a noisy and distant environment is a difficult task as it faces numerous challenges before clean speaker speech signal reaching the microphone. While developing a deep neural network for robust functioning in extreme conditions, the selection of a perfectly compatible optimizer, loss function, and dropout is necessary. This paper presents a comparative study of the optimization process in the neural network, how loss function effectively unites in seeking the optimizer. It emphasizes on the selection of the number of input nodes, hidden layers, and time consumed by each set of selections. This study elaborates the accuracy obtained at different combinations of parameters for robust deep neural network structure. This paper is classified under speaker and speech recognition process into improving accuracy. Experiment results shows that Adam optimizer with 150 epochs offers around 95% accuracy for speaker classification under the noisy condition at different SNR values.