Energy audit in household

Tato práce se zabývá výpočtem a změřením energetických spotřeb v domácnosti. Spočítané a naměřené hodnoty budou porovnány se skutečným stavem a budou navrženy možnosti na snížení nákladů.This study is focused on calculating and measuring of household energy consumption. Calculated and measured values will be compared with the actual situation and and cost reduction options will be proposed

„Steroidprofile“: diagnostische Fingerabdrücke endokriner Erkrankungen. Das neue Steroidlabor am Zentrum für Kinderheilkunde und Jugendmedizin

Im Januar 2001 hat in der Abteilung Allgemeine Pädiatrie und Neonatologie (Leiter: Prof. Dr. Ludwig Gortner) am Zentrum für Kinderheilkunde und Jugendmedizin ein neu etabliertes Labor seine Tätigkeit aufgenommen. Sein Profil bietet für die Bereiche Forschung und Entwicklung, aber auch als klinische Serviceeinrichtung eine bundesweit einzigartige endokrinologische Analytik an, nämlich die Identifizierung und Quantifizierung von Steroiden oder Steroidhormonen mittels Gaschromatographie-Massenspektrometrie

Fault Detection and Classification in Transmission Line Using Wavelet Transform and ANN

In recent years, there is an increased interest in fault classification algorithms. The reason, behind this interest is the escalating power demand and multiple interconnections of utilities in grid. This paper presents an application of wavelet transforms to detect the faults and further to perform classification by supervised learning paradigm. Different architectures of ANN are tested with the statistical attributes of a wavelet transform of a voltage signal as input features and binary digits as outputs. The proposed supervised learning module is tested on a transmission network. It is observed the Layer Recurrent Neural Network (LRNN) architecture performs satisfactorily when it is compared with the simulation results. The transmission network is simulated on Matlab. The performance indices Mean Square Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Sum Square Error (SSE) are used to determine the efficacy of the neural network

DIAGNOSIS OF ENDOCRINE DISEASE: Steroid Hormone Analysis in Diagnosis and Treatment of DSD Position Paper of EU COST Action BM 1303 "DSDnet".

Disorders or differences in sex development (DSD) comprise a heterogeneous group of conditions with an atypical sex development. For optimal diagnosis highly specialized laboratory analyses are required across European countries. Working group 3 of EU COST (European Cooperation in Science and Technology) Action BM 1303 "DSDnet" "Harmonisation of Laboratory Assessment" has developed recommendations on laboratory assessment for DSD regarding the use of technologies and analytes to be investigated. This position paper on steroid hormone analysis in diagnosis and treatment of DSD was compiled by a group of specialists in DSD and/or hormonal analysis, either from participating European Countries or international partner countries. The topics discussed comprised analytical methods (immunoassay/mass spectrometry based methods), matrices (urine/serum/saliva) and harmonisation of laboratory tests. The following positions were agreed upon: Support of the appropriate use of immunoassay and mass spectrometry based methods for diagnosis and monitoring of DSD. Serum/plasma and urine are established matrices for analysis. Laboratories performing analyses for DSD need to operate within a quality framework and actively engage in harmonisation processes so that results and their interpretation are the same irrespective of the laboratory they are performed in. Participation in activities of peer comparison such as sample exchange or when available subscribing to a relevant external quality assurance program should be achieved. The ultimate aim of the guidelines is the implementation of clinical standards for diagnosis and appropriate treatment of DSD to achieve the best outcome for patients, no matter where patients are investigated or managed

Present Request for an Adequate Program of Church Work Among the Youth, with Special Emphasis upon the Returning Service Personnel

We do not propose to give a complete outline, detailed in every respect, or what is to be done. The situation differs with every individual and community, not to say race and age. The purpose of this paper is to set forth the facts as seen in life, that we may all study them in their true light and consider them for what they are. There is nothing new and startling presented here, but the facts which have appeared time and time again do appear here

Sterolomics: State of the Art, Developments, Limitations and Challenges

Sterolomics can be thought of as the quantitative determination of the entire complement of molecules based on the cyclopentanoperhydrophenanthrene skeleton in a system. Mass spectrometry is the dominant analytical technology employed. In this article we highlight some pitfalls in analysis, data interpretation and annotation. We give our opinion on how some of these pitfalls can best be avoided

Additive manufacturing and mechanical analysis of multi-material polymer parts combining thermosets and thermoplastics

Multi-material additive manufacturing (AM) represents one of the most promising solutions to target the contemporary demand for complex products with high individuality and inherent functionalities. Besides continuous advances in machinery and the available material spectrum, a substantial aspect of multi-material AM is still underrepresented: the simultaneous combination of thermosets and thermoplastic within a single AM process. A promising technology in this regard is the newly developed Fusion Jetting (FJ) process. This investigation focuses on the combination of acrylate-based photopolymers (thermoset) and thermoplastic polyurethane (TPU) with FJ. Tensile specimens are built with strategic variations of the process parameters and experimentally analyzed to derive beneficial processing conditions. A proof of concept is delivered by demonstrating a significant increase in Young’s modulus of TPU specimens from approximately 65 to 160 MPa through integration of photopolymer reinforcements. Further experiments regarding variable layer heights and laser powers identify an optimum layer height of 100 µm along with a tolerable laser power of 15 W for maximum mechanical properties. An overall challenging aspect of the FJ process is the presence of unwanted delamination between reinforced and non-reinforced layers. The failure mode is observed during tensile testing on multiple multi-material specimens of this investigation. The origin of delamination can be correlated to the deviation of integrated reinforcements from their originally intended dimensions as well as the unwanted crystallization within reinforced layers. First, countermeasures to minimize delamination are identified, such as decreasing the rotational increment of the laser hatch orientation from 90 to 10° per layer.Open Access funding enabled and organized by Projekt DEAL.Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659Technische Universität München (1025