Daily activities and survival at older ages

This study tested the hypothesis that time spent on regenerative (e.g., resting), productive (e.g., housework), and consumptive activities (e.g., meeting friends) is associated with survival in persons aged 70 and older. An observational study with semi-annual mortality follow-ups was carried out in the former West Berlin, Germany. The sample was stratified by age and sex and consisted of 473 persons aged 70 to 103 years. Study participants lived in the community as well as in institutions. Activity measures were assessed in 1990-1993 by structured interviews in the participants´ homes. Cox regression was used to model survival from time of interview. The main outcome measure was survival on 3 February 2000. Consumptive activities were related to survival (relative risk = 0.76, 95% confidence interval 0.58 to 1.00) after several confounding factors were controlled for. There were indications that the greatest survival benefit is achieved with a medium amount of time devoted to consumptive activities. Our results support the idea that daily activities are linked to survival via a psychosocial pathway, which might involve perceived quality of life. Consumptive activities (e.g., meeting friends, reading a novel) may contribute considerably to maintaining health and achieving longevity, because they are performed on a daily basis and their effects may accumulate over the life course.

Wissenschaftliche Bibliotheken als Kooperationspartner der Digital Humanities : Faktoren einer aktiven Unterstützung im Bereich der Metadaten

Wissenschaftliche Bibliotheken haben traditionell die Aufgabe, die Wissenschaft hinsichtlich der Informationsversorgung und -beschaffung zu unterstützen. Durch die digitalen Entwicklungen und der Ausdifferenzierung der sogenannten Digital Humanities (DH) hat sich das Verständnis dessen, was Information ist, gewandelt: Das Arbeiten mit digitalen Daten in der Wissenschaft gehört heute zum Alltag. Hierdurch sind Bibliotheken gefordert, ihr Selbstverständnis und das Aufgabenprofil anzupassen. In der bibliothekarischen Fachwelt werden seit längerem genau dieses Selbstverständnis sowie das eigene Berufsbild stark und vor allem kontrovers diskutiert. An einem praktischen Beispiel wird gezeigt, wie eine Bibliothek ihre Kompetenz im Bereich der Metadaten als Kooperationspartner in einem DH-Projekt gezielt einbringen kann. Aufbauend auf dieser Ausgangsbasis wird die vielschichtige Diskussion um die Rollenverteilung in der sich verändernden Informationsinfrastruktur aufgegriffen und hierdurch werden Faktoren erarbeitet, die als Grundlage für die praktische Unterstützung der DH durch wissenschaftliche Bibliotheken gesehen werden.Traditionally, research libraries are responsible for the support of scientist through the provision of information. In course of the digital development and the differentiation of the so-called ‘Digital Humanities’ (DH), the meaning of the term ‘information’ has changed. Today, the work with digital data in science is part of our everyday lives. Correspondingly, libraries are demanded to adapt their purpose and task profile. In which direction the purpose and the library profession should be developed and which actions have to be taken by the libraries are subjects of an intense and controversial debate. Using a practical example, I want to demonstrate how libraries can bring in their competence regarding metadata as a cooperating partner in a DH-project. On this basis I will critically examine the complex discussion about the assignment of responsibilities in the changing infrastructure of information providers an extract central factors which could be used as a foundation for the practical support of the DH by research libraries

Antibiotic resistance in primary care in Austria - a systematic review of scientific and grey literature

<p>Abstract</p> <p>Background</p> <p>Antibiotic resistance is an increasing challenge for health care services worldwide. While up to 90% of antibiotics are being prescribed in the outpatient sector recommendations for the treatment of community-acquired infections are usually based on resistance findings from hospitalized patients. In context of the EU-project called "APRES - the appropriateness of prescribing antibiotic in primary health care in Europe with respect to antibiotic resistance" it was our aim to gain detailed information about the resistance data from Austria in both the scientific and the grey literature.</p> <p>Methods</p> <p>A systematic review was performed including scientific and grey literature published between 2000 and 2010. Inclusion and exclusion criteria were defined and the review process followed published recommendations.</p> <p>Results</p> <p>Seventeen scientific articles and 23 grey literature documents could be found. In contrast to the grey literature, the scientific publications describe only a small part of the resistance situation in the primary health care sector in Austria. Merely half of these publications contain data from the ambulatory sector exclusively but these data are older than ten years, are very heterogeneous concerning the observed time period, the number and origin of the isolates and the kind of bacteria analysed. The grey literature yields more comprehensive and up-to-date information of the content of interest. These sources are available in German only and are not easily accessible. The resistance situation described in the grey literature can be summarized as rather stable over the last two years. For <it>Escherichia coli </it>e.g. the highest antibiotic resistance rates can be seen with fluorochiniolones (19%) and trimethoprim/sulfamethoxazole (27%).</p> <p>Conclusion</p> <p>Comprehensive and up-to-date antibiotic resistance data of different pathogens isolated from the community level in Austria are presented. They could be found mainly in the grey literature, only few are published in peer-reviewed journals. The grey literature, therefore, is a very valuable source of relevant information. It could be speculated that the situation of published literature is similar in other countries as well.</p

NEURAL NETWORK MODELING IN SPORT BIOMECHANICS BASED ON THE EXAMPLE OF SHOT-PUT FLIGHT

In this study, a modeling method based on Multi-Layer-Perceptron neural networks (MLP) is presented, using the example of shot-put flight. This method can be used for rapid construction of models. For performance of shot-put, a physical model based on the shots’ equations of motion is easily designed. In this way, an analysis of the shot-put projectory can be used to illustrate the effectiveness of the neural network modeling method. Using the physical model, release data has been determined and altered with random errors such as those introduced by video analysis. A technique for optimal learning with the neural networks has been developed. The resulting MLP models the shot-put flight successfully. The difference between the model’s predicted distance and the distance reached by the physical model are within 2.5%. In conclusion, this method allows rapid creation of models to solve biomechanical problems and can serve as a useful tool for coaches and athletes

Cultural and social accomplishments of agricultural companies as contributions to the development of rural areas

Agricultural companies play a key role in enriching the cultural and social life of the rural areas in which they function. Therefore, these companies serve towards preserving a quality of life necessary for rural communities to survive and to develop rural areas. However, the financial, human resource and material expenditures necessary to sustain rural communities are difficult to quantify. These studies, on the basis of internationally focused case studies, attempt to measure, systemize and evaluate the charitable engagement of farmers

Artificial intelligence‐based analysis of body composition in Marfan: skeletal muscle density and psoas muscle index predict aortic enlargement

Background: Patients with Marfan syndrome are at risk for aortic enlargement and are routinely monitored by computed tomography (CT) imaging. The purpose of this study is to analyse body composition using artificial intelligence (AI)-based tissue segmentation in patients with Marfan syndrome in order to identify possible predictors of progressive aortic enlargement. Methods: In this study, the body composition of 25 patients aged <= 50 years with Marfan syndrome and no prior aortic repair was analysed at the third lumbar vertebra (L3) level from a retrospective dataset using an AI-based software tool (Visage Imaging). All patients underwent electrocardiography-triggered CT of the aorta twice within 2 years for suspected progression of aortic disease, suspected dissection, and/or pre-operative evaluation. Progression of aortic enlargement was defined as an increase in diameter at the aortic sinus or the ascending aorta of at least 2 mm. Patients meeting this definition were assigned to the 'progressive aortic enlargement' group (proAE group) and patients with stable diameters to the 'stable aortic enlargement' group (staAE group). Statistical analysis was performed using the Mann-Whitney U test. Two possible body composition predictors of aortic enlargement-skeletal muscle density (SMD) and psoas muscle index (PMI)-were analysed further using multivariant logistic regression analysis. Aortic enlargement was defined as the dependent variant, whereas PMI, SMD, age, sex, body mass index (BMI), beta blocker medication, and time interval between CT scans were defined as independent variants. Results: There were 13 patients in the proAE group and 12 patients in the staAE group. AI-based automated analysis of body composition at L3 revealed a significantly increased SMD measured in Hounsfield units (HUs) in patients with aortic enlargement (proAE group: 50.0 +/- 8.6 HU vs. staAE group: 39.0 +/- 15.0 HU; P = 0.03). PMI also trended towards higher values in the proAE group (proAE group: 6.8 +/- 2.3 vs. staAE group: 5.6 +/- 1.3; P = 0.19). Multivariate logistic regression revealed significant prediction of aortic enlargement for SMD (P = 0.05) and PMI (P = 0.04). Conclusions: Artificial intelligence-based analysis of body composition at L3 in Marfan patients is feasible and easily available from CT angiography. Analysis of body composition at L3 revealed significantly higher SMD in patients with progressive aortic enlargement. PMI and SMD significantly predicted aortic enlargement in these patients. Using body composition as a predictor of progressive aortic enlargement may contribute information for risk stratification regarding follow-up intervals and the need for aortic repair

Towards extracellular Ca2+ sensing by MRI: synthesis and calcium-dependent 1H and 17O relaxation studies of two novel bismacrocyclic Gd3+ complexes

Two new bismacrocyclic Gd3+ chelates containing a specific Ca2+ binding site were synthesized as potential MRI contrast agents for the detection of Ca2+ concentration changes at the millimolar level in the extracellular space. In the ligands, the Ca2+-sensitive BAPTA-bisamide central part is separated from the DO3A macrocycles either by an ethylene (L1) or by a propylene (L2) unit [H4BAPTA is 1,2-bis(o-aminophenoxy)ethane-N,N,N′,N′-tetraacetic acid; H3DO3A is 1,4,7,10-tetraazacyclododecane-1,4,7-triacetic acid]. The sensitivity of the Gd3+ complexes towards Ca2+ and Mg2+ was studied by 1H relaxometric titrations. A maximum relaxivity increase of 15 and 10% was observed upon Ca2+ binding to Gd2L1 and Gd2L2, respectively, with a distinct selectivity of Gd2L1 towards Ca2+ compared with Mg2+. For Ca2+ binding, association constants of log K = 1.9 (Gd2L1) and log K = 2.7 (Gd2L2) were determined by relaxometry. Luminescence lifetime measurements and UV–vis spectrophotometry on the corresponding Eu3+ analogues proved that the complexes exist in the form of monohydrated and nonhydrated species; Ca2+ binding in the central part of the ligand induces the formation of the monohydrated state. The increasing hydration number accounts for the relaxivity increase observed on Ca2+ addition. A 1H nuclear magnetic relaxation dispersion and 17O NMR study on Gd2L1 in the absence and in the presence of Ca2+ was performed to assess the microscopic parameters influencing relaxivity. On Ca2+ binding, the water exchange is slightly accelerated, which is likely related to the increased steric demand of the central part leading to a destabilization of the Ln–water binding interaction

Einleitung: Verbraucherbildung; Ein weiter Weg zum mündigen Verbraucher

Nicht erst der Beschluss der Kultusministerkonferenz zur Verbraucherbildung im Jahr 2013 hat dazu beigetragen, dass in vielen Bundesländern die Implementierung von schulischer Verbraucherbildung angestrebt und zum Teil bereits umgesetzt wird. Als Bildungsziel wird "mündige Verbraucher" genannt. Das bedeutet aber auch, nicht nur Kaufkompetenz zu vermitteln, sondern die Reflexionsfähigkeit zu stärken

Novel Schizophrenia Risk Gene TCF4 Influences Verbal Learning and Memory Functioning in Schizophrenia Patients

Background: Recently, a role of the transcription factor 4 (TCF4) gene in schizophrenia has been reported in a large genome-wide association study. It has been hypothesized that TCF4 affects normal brain development and TCF4 has been related to different forms of neurodevelopmental disorders. Schizophrenia patients exhibit strong impairments of verbal declarative memory (VDM) functions. Thus, we hypothesized that the disease-associated C allele of the rs9960767 polymorphism of the TCF4 gene led to impaired VDM functioning in schizophrenia patients. Method: The TCF4 variant was genotyped in 401 schizophrenia patients. VDM functioning was measured using the Rey Auditory Verbal Learning Test (RAVLT). Results: Carriers of the C allele were less impaired in recognition compared to those carrying the AA genotype (13.76 vs. 13.06; p = 0.049). Moreover, a trend toward higher scores in patients with the risk allele was found for delayed recall (10.24 vs. 9.41; p = 0.088). The TCF4 genotype did not influence intelligence or RAVLT immediate recall or total verbal learning. Conclusion: VDM function is influenced by the TCF4 gene in schizophrenia patients. However, the elevated risk for schizophrenia is not conferred by TCF4-mediated VDM impairment. Copyright (C) 2011 S. Karger AG, Base