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The paper is devoted to solving a problem of the development of the website of Russian municipal policlinics and provides a selection of a set of elements which should be posted on a website. Such elements are necessary to provide citizens with correct and ergonomic e-services. The insufficient development of an infrastructure of institutions of public and municipal administration (particularly, healthcare institutions) in Russia made it necessary to analyze webresources used in different countries at different levels of providing medical services. The information resources of medical treatment facilities of the United Kingdom, of the United Statesrnof America and of the Federal Republic of Germany were researched separately for three existing economic models of healthcare. A set of criteria for the assessment of medical webresources was developed.
Öffentliche elektronische Beschaffung (eProcurement), bzw. strategischer elektronischer Einkauf (eSourcing), sind mit hoher Wahrscheinlichkeit Thema sobald eGovernment Experten aufeinander treffen. So ist es nicht überraschend, dass eProcurement im aktuellen Aktionsplan der EU als "high-impact service" eingestuft wurde. Dies lässt sich zum Großteil durch den großen Einfluss vom öffentlichen Einkauf auf die Staatskasse erklären. So macht eProcurement in der Regel bis zu 20% des BIP aus und beherbergt somit ein enormes Einsparpotenzial. Dieses Potenzial liegt zum Teil im gemeinsamen Europäischen Wirtschaftsraum, da effizientes länderübergreifendes eSourcing neue Möglichkeiten für Einkäufer sowie Lieferanten eröffnen kann. Um diese Möglichkeiten ausschöpfen zu können, müssen Prozesse und Tools in der Lage sein, miteinander zu kommunizieren, sich aufeinander abzustimmen oder transferierbar sein. In einem Wort, sie müssen interoperabel sein. In vielen wichtigen Bereichen ist Interoperabilität sehr weit fortgeschritten, in anderen hingegen muss noch viel verändert werden. Daher ist es von wesentlicher Bedeutung Interoperabilitätsanforderungen zu definieren, sowie den aktuellen Forschungs- und Entwicklungsstand zu evaluieren.
The first group that was revised within my study is Ochralea Clark, 1865 (Hazmi & Wagner 2010a). I have checked the type specimen of most species that were originally described in Ochralea and there is no doubt that this genus is clearly distinct from Monolepta. Weise (1924) has synonymised Galeruca nigripes (Olivier, 1808) with O. nigricornis Clark, 1865 and the valid name of the species is O. nigripes (Olivier, 1808). Out of ten species originally described in this genus, only this species remain valid and O. pectoralis is a new synonym of O. nigripes. Additionally, Monolepta wangkliana Mohamedsaid, 2000 is very closely related to O. nigripes and need to be transferred to Ochralea. The second genus where the revision is still published is Arcastes Baly, 1865 (Hazmi & Wagner 2010b). I have checked the genitalic characters of A. biplagiata, and most of the type species of other Arcastes. Arcastes biplagiata possesses a peculiar shape of the median lobe and asymmetrically arranged endophallic structures. These peculiar characters are very useful to delimit this genus from the others. Therefore, only three valid species remain in Arcastes, while two new synonyms are found and fourrnother species need to be transferred to other genera. While checking the genitalic characteristics of type species of Arcastes sanguinea, thernmedian lobe as well as the spermatheca of this species possesses strong differences to A. biplagiata. The species was redescribed and transferred in a monotypic new genus Rubrarcastes Hazmi & Wagner, 2010c. The fourth genus that was already revised is Neolepta Jacoby, 1884. It was originally described on base of only two species by that time, N. biplagiata and N. fulvipennis. Jacoby has not designated a type species of the genus, and Maulik (1936) did it later, with the designation of N. biplagiata. Jacoby in his original description has only commented that Neolepta is very close and similar to Monolepta Chevrolat, 1837 and Candezea Chapuis, 1879. Subsequent authors have described further eight species, and transferred one species from Luperodes to it, summing up the total number of eleven described species in Neolepta. I have checked the genitalic characters of the type, N. biplagiata and have found out that the median lobe is not incised apically and stronger sclerotised ventral carinae with an apical hook close to the apex occur. Out of all described species, only two are closely related to the genero-type, N. sumatrensis (Jacoby, 1884) new combination and N. quadriplagiata Jacoby, 1886 that will remain in this group after the revision. All other species need to be transferred to other genera, including the newly described Paraneolepta and Orthoneolepta. The last distinct paper of this thesis presented the results on Monolepta Chevrolat, 1837. The massive number of Monolepta from the entire Oriental Region, with about 260 described species names is a more long-life project and not practicable within a PhD-study. Thus I have focused on the species of Monolepta known from the Sundaland area in this work. A comprehensive revision including the study of the primary types of the described species, has never been done for Monolepta from this sub-region, while new species have also been described in the last decade (e. g. Mohamedsaid 1993, 1997, 1998, 1999, 2000a,b, 2001, 2002, 2005).
On base of the most current species lists of Mohamedsaid (2001, 2004, 2005) and Kimoto (1990), the number of valid species described from this region is about 72. After my revision, only thirteen valid species can remain in Monolepta in the sense of the generotype M. bioculata (Wagner 2007), while seven species have been found as new synonyms, three have been already transferred to other genera and further 49 species need to be transferred to other genera.
Five personality traits commonly known as the “Big Five” have been widely acknowledged as universal. But most available psychological instruments are not necessarily transferable to other cultures. They are referred to as “W.E.I.R.D.” (western, educated, industrial, rich, democratic) and lack the combined emic-etic approach that is necessary for a transcultural perspective. This intercontinental congress brings experts from Kenya and Germany together – thinking out of the box and collecting ideas for a scientific based partnership of East Africa and Europe. Main topics are psychological constructs that prove relevant for Human Resources Management. The Five-Factor Model, core self-evaluations, coping processes and acculturation as well as globalization effects and gender issues are discussed.
The University of Koblenz-Landau would like to apply for participation in the RoboCup Mixed Reality League in Suzhou, China 2008. Our team is composed of ten team members and two supervisors. All members are graduate students of Computational Visualistics. Our supervisors are Ph.D. candidates currently researching in the working groups of artificial intelligence and computer graphics.
This paper describes the robot Lisa used by team
homer@UniKoblenz of the University of Koblenz Landau, Germany, for the participation at the RoboCup@Home 2016 in Leipzig, Germany. A special focus is put on novel system components and the open source contributions of our team. We have released packages for object recognition, a robot face including speech synthesis, mapping and navigation, speech recognition interface via android and a GUI. The packages are available (and new packages will be released) on http://wiki.ros.org/agas-ros-pkg.
This paper describes the robot Lisa used by team homer@UniKoblenz of the University of Koblenz Landau, Germany, for the participation at the RoboCup@Home 2017 in Nagoya, Japan. A special focus is put on novel system components and the open source contributions of our team. We have released packages for object recognition, a robot face including speech synthesis, mapping and navigation, speech recognition interface via android and a GUI. The packages are available (and new packages will be released) on
http://wiki.ros.org/agas-ros-pkg.
This paper describes the robots TIAGo and Lisa used by team homer@UniKoblenz of the University of Koblenz-Landau, Germany, for the participation at the RoboCup@Home 2018 in Montreal, Canada. Further this paper serves as qualification material for the RoboCup-@Home participation in 2018. A special focus is put on novel system components and the open source contributions of our team. This year the team from Koblenz won the biggest annual scientianc robot competition in Montreal in the RoboCup@Home Open Platform track for the third time and also won the RoboCup@Home German Open for the second time. As a research highlight a novel symbolic imitation learning approach was demonstrated during the annals. The TIAGo robotic research platform was used for the first time by the team. We have released packages for object recognition, a robot face including speech synthesis, mapping and navigation, speech recognition interface via android and a GUI. The packages are available (and new packages will be released) on http://wiki.ros.org/agas-ros-pkg. Further information can be found on our project page http://homer.uni-koblenz.de.
This paper describes the robots TIAGo and Lisa used by
team homer@UniKoblenz of the University of Koblenz-Landau, Germany,
for the participation at the RoboCup@Home 2019 in Sydney,
Australia. We ended up first at RoboCup@Home 2019 in the Open Platform
League and won the competition in our league now three times
in a row (four times in total) which makes our team the most successful
in RoboCup@Home. We demonstrated approaches for learning from
demonstration, touch enforcing manipulation and autonomous semantic
exploration in the finals. A special focus is put on novel system components
and the open source contributions of our team. We have released
packages for object recognition, a robot face including speech synthesis,
mapping and navigation, speech recognition interface, gesture recognition
and imitation learning. The packages are available (and new packages
will be released) on http://homer.uni-koblenz.de.
Statistical Shape Models (SSMs) are one of the most successful tools in 3Dimage analysis and especially medical image segmentation. By modeling the variability of a population of training shapes, the statistical information inherent in such data are used for automatic interpretation of new images. However, building a high-quality SSM requires manually generated ground truth data from clinical experts. Unfortunately, the acquisition of such data is a time-consuming, error-prone and subjective process. Due to this effort, the majority of SSMs is often based on a limited set of this ground truth training data, which makes the models less statistically meaningful. On the other hand, image data itself is abundant in clinics from daily routine. In this work, methods for automatically constructing a reliable SSM without the need of manual image interpretation from experts are proposed. Thus, the training data is assumed to be the result of any segmentation algorithm or may originate from other sources, e.g. non-expert manual delineations. Depending on the algorithm, the output segmentations will contain errors to a higher or lower degree. In order to account for these errors, areas of low probability of being a boundary should be excluded from the training of the SSM. Therefore, the probabilities are estimated with the help of image-based approaches. By including many shape variations, the corrupted parts can be statistically reconstructed. Two approaches for reconstruction are proposed - an Imputation method and Weighted Robust Principal Component Analysis (WRPCA). This allows the inclusion of many data sets from clinical routine, covering a lot more variations of shape examples. To assess the quality of the models, which are robust against erroneous training shapes, an evaluation compares the generalization and specificity ability to a model build from ground truth data. The results show, that especially WRPCA is a powerful tool to handle corrupted parts and yields to reasonable models, which have a higher quality than the initial segmentations.