Ecological analysis of manufacturing systems focusing on the identification of variety-induced non value adding emissions

Part of: Seliger, Günther (Ed.): Innovative solutions : proceedings / 11th Global Conference on Sustainable Manufacturing, Berlin, Germany, 23rd - 25th September, 2013. - Berlin: Universitätsverlag der TU Berlin, 2013. - ISBN 978-3-7983-2609-5 (online). - http://nbn-resolving.de/urn:nbn:de:kobv:83-opus4-40276. - pp. 66-71Today manufacturing companies need to raise their awareness about emissions (e.g. CO2 equivalents) and their origins within a manufacturing system. The identification of origins of emissions becomes progressively difficult because of the customer and competition driven increase in product and process variants and the corresponding high level of complexity. Therefore, it is necessary to enhance the ecological transparency in manufacturing systems. This paper introduces an assessment methodology which increases the ecological transparency through the identification of variety-induced ecological effects. Furthermore, the developed methodology enables the user to detect starting points for an ecological optimization of a manufacturing system by the use of organizational measures. The effects of influencing variables are presented on the basis of a case study. The obtained results allow manufacturing companies to reveal and reduce variety-induced non value adding emissions

BMI Change, Fitness Change and Cardiometabolic Risk Factors among 8 th Grade Youth

This paper examined whether a two-year change in fitness, body mass index (BMI) or the additive effect of change in fitness and BMI were associated with change in cardiometabolic risk factors among youth. Cardiometabolic risk factors, BMI group (normal weight, overweight or obese) were obtained from participants at the start of 6th grade and end of 8th grade. Shuttle run laps were assessed and categorized in quintiles at both time points. Regression models were used to examine whether changes in obesity, fitness or the additive effect of change in BMI and fitness were associated with change in risk factors. There was strong evidence (p < .001) that change in BMI was associated with change in cardiometabolic risk factors. There was weaker evidence of a fitness effect, with some evidence that change in fitness was associated with change in total cholesterol, HDL-C, LDL-C and clustered risk score among boys, as well as HDL-C among girls. Male HDL-C was the only model for which there was some evidence of a BMI, fitness and additive BMI*fitness effect. Changing body mass is central to the reduction of youth cardiometabolic risk. Fitness effects were negligible once change in body mass had been taken into account

Clinical manifestations and immunomodulatory treatment experiences in psychiatric patients with suspected autoimmune encephalitis: a case series of 91 patients from Germany

Autoimmune encephalitis (AE) can rarely manifest as a predominantly psychiatric syndrome without overt neurological symptoms. This study’s aim was to characterize psychiatric patients with AE; therefore, anonymized data on patients with suspected AE with predominantly or isolated psychiatric syndromes were retrospectively collected. Patients with readily detectable neurological symptoms suggestive of AE (e.g., epileptic seizures) were excluded. Patients were classified as “probable psychiatric AE (pAE),” if well-characterized neuronal IgG autoantibodies were detected or “possible pAE” (e.g., with detection of nonclassical neuronal autoantibodies or compatible cerebrospinal fluid (CSF) changes). Of the 91 patients included, 21 (23%) fulfilled our criteria for probable (autoantibody-defined) pAE and 70 (77%) those for possible pAE. Among patients with probable pAE, 90% had anti-NMDA receptor (NMDA-R) autoantibodies. Overall, most patients suffered from paranoid-hallucinatory syndromes (53%). Patients with probable pAE suffered more often from disorientation (p < 0.001) and impaired memory (p = 0.001) than patients with possible pAE. Immunotherapies were performed in 69% of all cases, mostly with high-dose corticosteroids. Altogether, 93% of the patients with probable pAE and 80% of patients with possible pAE reportedly benefited from immunotherapies (p = 0.251). In summary, this explorative, cross-sectional evaluation confirms that autoantibody-associated AE syndromes can predominantly manifest as psychiatric syndromes, especially in anti-NMDA-R encephalitis. However, in three out of four patients, diagnosis of possible pAE was based on nonspecific findings (e.g., slight CSF pleocytosis), and well-characterized neuronal autoantibodies were absent. As such, the spectrum of psychiatric syndromes potentially responding to immunotherapies seems not to be limited to currently known autoantibody-associated AE. Further trials are needed

Temperature stress differentially modulates transcription in meiotic anthers of heat-tolerant and heat-sensitive tomato plants

Contains fulltext : 92405.pdf (publisher's version ) (Open Access

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

Zieldeterminierte Gestaltung von Produktionssystemen

Der Lösungsansatz zur zieldeterminierten Gestaltung von Produktionssystemen in der Arbeit bildet eine systemorientierte Methodik mit drei Modulen. Das erste Modul umfasst die Erhebung und Beschreibung des Status quo von Produktionssystemen, das zweite Modul die zieldeterminierte Analyse von Produktionssystemen und das dritte Modul die zieldeterminierte Simulation von Produktionssystemen. Die Neuartigkeit der Methodik zeigt sich insbesondere durch die kontinuierliche Kombination ingenieurwissenschaftlicher sowie entscheidungs- und systemtheoretischer Aspekte zur Gestaltung von Produktionssystemen. Im Rahmen der Arbeit wird ein prozessorientiertes Simulationsmodell entwickelt, das die Wirkung von zwölf in der Praxis und Wissenschaft etablierten Methoden auf fünf definierte Zielgrößen der Zieldimensionen Zeit, Flexibilität, Wirtschaftlichkeit und Qualität quantitativ und dynamisch beschreibt. Das entwickelte Simulationsmodell kann über eine qualitative Parametrisierung (z. B. durch Methodenreifegrade) und eine quantitative Parametrisierung (z. B. durch Prozessdaten und Zielgrößen) unternehmens- und entscheidungsträgerspezifisch realisiert und angewendet werden

An Approach Towards an Adaptive Quality Assurance

In order to optimize the quality-related costs, the quality assurance within the production must be designed in terms of economical criteria. This design is time-consuming and cost-intensive. However, due to the increasing individualization up to lot size one, the quality assurance must be adapted in increasingly shorter cycles in order to achieve an economical optimal quality assurance at any time. The realization of an adaptive quality assurance within the production enables manufacturing companies to achieve a minimum of quality-related costs at any time despite an increasing individualization up to lot size one. Due to their high degree of swiftness regarding data acquisition, data processing and output of data in real-time, and furthermore, their capability to control physical elements with computer-based algorithms in an intertwined way, cyber-physical systems (CPS) are predestined to perform an adaptive quality assurance within the production. But, no approach towards an adaptive quality assurance, which is performed by a cyber-physical system in order to achieve a minimum of quality-related costs at any time despite an increasing individualization of manufactured products up to lot size one, has been described in literature yet. This paper fills the gap by showing an approach towards an adaptive quality assurance within the production, which is performed by a cyber-physical system

A 13.56MHz RFID system based on organic transponders

RFID tags using organic transistors are described: Two 8b tags carrying different codes, energized and read out at 13.56MHz, the defacto standard for item-level ID, have been tested and demonstrated to enable multiple-object identification for the first time; A 64b tag, the most complex organic transponder reported to date, operates at 125kHz and employs 1938 transistor

BMI change, fitness change and cardiometabolic risk factors among 8th grade youth

This paper examined whether a two-year change in fitness, body mass index (BMI) or the additive effect of change in fitness and BMI were associated with change in cardiometabolic risk factors among youth. Cardiometabolic risk factors, BMI group (normal weight, overweight or obese) were obtained from participants at the start of 6th grade and end of 8th grade. Shuttle run laps were assessed and categorized in quintiles at both time points. Regression models were used to examine whether changes in obesity, fitness or the additive effect of change in BMI and fitness were associated with change in risk factors. There was strong evidence (p < .001) that change in BMI was associated with change in cardiometabolic risk factors. There was weaker evidence of a fitness effect, with some evidence that change in fitness was associated with change in total cholesterol, HDL-C, LDL-C and clustered risk score among boys, as well as HDL-C among girls. Male HDL-C was the only model for which there was some evidence of a BMI, fitness and additive BMI*fitness effect. Changing body mass is central to the reduction of youth cardiometabolic risk. Fitness effects were negligible once change in body mass had been taken into account