Linking maternal psychopathology to children's excessive crying and sleeping problems in a large representative German sample—The mediating role of social isolation and bonding difficulties

Attaining self-regulation is a major developmental task in infancy, in which many children show transient difficulties. Persistent, clinically relevant difficulties in self-regulation include excessive crying or sleeping disorders. Many families with affected children are burdened with multiple psychosocial risk. This suggests that regulatory problems are best conceptualized as the maladaptive interplay of overly burdened parents and a dysfunctional parent–child interaction. The current study examines whether social isolation and bonding difficulties function as mediating mechanisms linking maternal psychopathology to (1) children's excessive crying and (2) sleeping problems. The sample comprised N = 6598 mothers (M = 31.51 years) of children between zero to three years of age (M = 14.08 months, 50.1% girls). In addition to socio demographic data, the written questionnaire included information on maternal depression/anxiety, isolation, bonding, and children's regulatory problems. Hypotheses were tested with a mediation model controlling for psychosocial risk and child characteristics. As expected, maternal symptoms of depression/anxiety were linked to infants‘ excessive crying and sleeping problems. Social isolation and bonding difficulties mediated this association for excessive crying as well as for sleeping problems, but social isolation was a single mediator for sleeping problems only. The findings provide important insights in the mediating pathways linking maternal psychopathology to children's regulatory problems

Zylindersegmentventil – entwickelt für partikelbeladene Dickstoffe

In heutigen Dickstoffpumpen sind Ventile verschiedener Bauart zu finden. Diese werden hunderttausendfach geschaltet, müssen hohen Drücken standhalten und sind technisch anspruchsvollen Medien ausgesetzt. Pum-pen für Dickstoffe mit Feststoffzuschlägen arbeiten in der Regel diskontinuierlich. Im Zuge der Neuentwick¬lung einer Konstantflusspumpe für Dickstoffe wurde das Dickstoffventil als kritische Baugruppe identifiziert. An dieses werden zusätzlich weitere Anforderungen gestellt: das Dickstoffventil arbeitet in einem geschlosse¬nen Druckraum und muss die Funktion eines 3/3-Wegeventils realisieren. Die Gesamtheit der Rahmenbedin¬gungen führt dazu, dass die bekannten Ventile sich nicht für diese Anwendung eignen. Mit der Lösung dieses Problems beschäftigt sich ein Forschungsprojekt des „Teilinstituts Mobile Arbeitsmaschinen“ des Karlsruher Insti¬tuts für Technologie in Kooperation mit der Putzmeister Engineering GmbH. Der Beitrag beschreibt das mithilfe ei¬ner systematischen Analyse und Lösungssuche entwickelte Zylindersegmentventil und stellt den Forschungs¬bereich der Frischbetonventileffekte vor

Zylindersegmentventil : entwickelt für partikelbeladene Dickstoffe

In heutigen Dickstoffpumpen sind Ventile verschiedener Bauart zu finden. Diese werden hunderttausendfach geschaltet, müssen hohen Drücken standhalten und sind technisch anspruchsvollen Medien ausgesetzt. Pumpen für Dickstoffe mit Feststoffzuschlägen arbeiten in der Regel diskontinuierlich. Im Zuge der Neuentwicklung einer Konstantflusspumpe für Dickstoffe wurde das Dickstoffventil als kritische Baugruppe identifiziert. An dieses werden zusätzlich weitere Anforderungen gestellt: das Dickstoffventil arbeitet in einem geschlossenen Druckraum und muss die Funktion eines 3/3-Wegeventils realisieren. Die Gesamtheit der Rahmenbedingungen führt dazu, dass die bekannten Ventile sich nicht für diese Anwendung eignen. Mit der Lösung dieses Problems beschäftigt sich ein Forschungsprojekt des „Teilinstituts Mobile Arbeitsmaschinen“ des Karlsruher Instituts für Technologie in Kooperation mit der Putzmeister Engineering GmbH. Der Beitrag beschreibt das mithilfe einer systematischen Analyse und Lösungssuche entwickelte Zylindersegmentventil und stellt den Forschungsbereich der Frischbetonventileffekte vor

Beurteilung des Therapieerfolgs – konventionelle versus neue Methoden

New ways of evaluating treatment success among thoracic tumour patients are increasingly being used alongside more conventional methods. These new approaches include tumour regression grading, CAD volumetry (computer-assisted volumetry), determination of the tumour density and tumour perfusion as well as the use of positron emission tomography (PET) using (18)F-FDG (fluorodeoxyglucose) or other tracers. Increasingly, endpoints that impact directly on the patient's quality of life and tumour-related symptoms are becoming more relevant factors together with the objectively measurable parameters used for assessing treatment response. This contribution describes the potential value of new methods and end-points from the point of view of a pathologist, radiologist, nuclear medicine specialist, radiotherapist, thoracic surgeon, medical and pneumology oncologist, and general practitioner

The Digital Earth Observation Librarian: A Data Mining Approach for Large Satellite Images Archives

Throughout the years, various Earth Observation (EO) satellites have generated huge amounts of data. The extraction of latent information in the data repositories is not a trivial task. New methodologies and tools, being capable of handling the size, complexity and variety of data, are required. Data scientists require support for the data manipulation, labeling and information extraction processes. This paper presents our Earth Observation Image Librarian (EOLib), a modular software framework which offers innovative image data mining capabilities for TerraSAR-X and EO image data, in general. The main goal of EOLib is to reduce the time needed to bring information to end-users from Payload Ground Segments (PGS). EOLib is composed of several modules which offer functionalities such as data ingestion, feature extraction from SAR (Synthetic Aperture Radar) data, meta-data extraction, semantic definition of the image content through machine learning and data mining methods, advanced querying of the image archives based on content, meta-data and semantic categories, as well as 3-D visualization of the processed images. EOLib is operated by DLR’s (German Aerospace Center’s) Multi-Mission Payload Ground Segment of its Remote Sensing Data Center at Oberpfaffenhofen, Germany

Earth Observation Product Metadata Mapping to STAC

The standard for Spatio-Temporal Asset Catalogs (STAC) has matured and is widely being adopted. Capabilities, extensibility and tool support go beyond the existing OGC EOP, OpenSearch and OData standards. Implementing a catalogue with interfaces according to a standard requires good specifications and examples. This always has been an area for improvements. The OGC EOP standards have undergone a series of evolutions to become adult, onto which young STAC standard is still on the way. With a little help, it will soon overtake its master. In this paper we present three areas of improvements and suitable solutions are presented: a) overview of metadata specifications b) STAC metadata mappings for Copernicus datasets c) generic tool for metadata extractio

Clinical and virological characteristics of hospitalised COVID-19 patients in a German tertiary care centre during the first wave of the SARS-CoV-2 pandemic: a prospective observational study

Purpose: Adequate patient allocation is pivotal for optimal resource management in strained healthcare systems, and requires detailed knowledge of clinical and virological disease trajectories. The purpose of this work was to identify risk factors associated with need for invasive mechanical ventilation (IMV), to analyse viral kinetics in patients with and without IMV and to provide a comprehensive description of clinical course. Methods: A cohort of 168 hospitalised adult COVID-19 patients enrolled in a prospective observational study at a large European tertiary care centre was analysed. Results: Forty-four per cent (71/161) of patients required invasive mechanical ventilation (IMV). Shorter duration of symptoms before admission (aOR 1.22 per day less, 95% CI 1.10-1.37, p < 0.01) and history of hypertension (aOR 5.55, 95% CI 2.00-16.82, p < 0.01) were associated with need for IMV. Patients on IMV had higher maximal concentrations, slower decline rates, and longer shedding of SARS-CoV-2 than non-IMV patients (33 days, IQR 26-46.75, vs 18 days, IQR 16-46.75, respectively, p < 0.01). Median duration of hospitalisation was 9 days (IQR 6-15.5) for non-IMV and 49.5 days (IQR 36.8-82.5) for IMV patients. Conclusions: Our results indicate a short duration of symptoms before admission as a risk factor for severe disease that merits further investigation and different viral load kinetics in severely affected patients. Median duration of hospitalisation of IMV patients was longer than described for acute respiratory distress syndrome unrelated to COVID-19

The Operating Tool – a Framework for Monitoring and Control of Heterogeneous Data and Workflows

The Operating Tool (OT) is a graphical user interface to monitor and control heterogeneous data and workflows in distributed services. It has been designed as a configurable framework with a flexible set of re-usable views, which can be instantiated to communicate with the remote services over a wide range of protocols as CORBA, CIP, SOAP, LDAP, HTTP, and the file system. The implementation profits from an architecture using parameterised building blocks, based on the Model-View-Controller paradigm, that are assembled using a very simple but powerful XML configuration file syntax. Displaying and having access to the interfaces of several services within one tool enables the user to track the stages in the production process and monitor the status across service boundaries. In case of an error, the operator can interact with the process at the location that caused the problem

Behind the Scenes at the DLR National Satellite Data Archive, a Brief History and Outlook of Long Term Data Preservation

The Earth Observation Center (EOC) at the German Aerospace Center (DLR) is the center of competence in Germany, providing expertise in earth observation research and development activities, as well as operational tasks for data reception, processing and archiving. We briefly present the German Satellite Data Archive (D-SDA) with systems and activities that make it possible to accomplish successful Long Term Data Preservation (LTDP) over more than 20 years with nearly exponentially growing data capacity. Tables, facts and figures exhibit the path taken at DLR to successfully establish the infrastructure for long term data preservation for Germany and Europe. Our experience is that that LTDP is manageable but requires following the evolution in technology, new usage scenarios and data policies. DLR is working on the continuous evolution of the flexible DIMS components, infrastructure and management services to serve the processing and archiving centers for the next generation earth observation satellites