New Mediterranean biodiversity records (October, 2014)

The Collective Article 'New Mediterranean Biodiversity Records' of the Mediterranean Marine Science journal offers the means to publish biodiversity records in the Mediterranean Sea. The current article is divided in two parts, for records of alien and native species respectively. The new records of alien species include: the red alga Asparagopsis taxiformis (Crete and Lakonikos Gulf, Greece); the red alga Grateloupia turuturu (along the Israeli Mediterranean shore); the mantis shrimp Clorida albolitura (Gulf of Antalya, Turkey); the mud crab Dyspanopeus sayi (Mar Piccolo of Taranto, Ionian Sea); the blue crab Callinectes sapidus (Chios Island, Greece); the isopod Paracerceis sculpta (northern Aegean Sea, Greece); the sea urchin Diadema setosum (Gökova Bay, Turkey); the molluscs Smaragdia souverbiana, Murex forskoehlii, Fusinus verrucosus, Circenita callipyga, and Aplysia dactylomela (Syria); the cephalaspidean mollusc Haminoea cyanomarginata (Baia di Puolo, Massa Lubrense, Campania, southern Italy); the topmouth gudgeon Pseudorasbora parva (Civitavecchia, Tyrrhenian Sea); the fangtooth moray Enchelycore anatina (Plemmirio marine reserve, Sicily); the silver-cheeked toadfish Lagocephalus sceleratus (Saros Bay, Turkey; and Ibiza channel, Spain); the Indo-Pacific ascidian Herdmania momus in Kastelorizo Island (Greece); and the foraminiferal Clavulina multicamerata (Saronikos Gulf, Greece). The record of L. sceleratus in Spain consists the deepest (350-400m depth) record of the species in the Mediterranean Sea. The new records of native species include: first record of the ctenophore Cestum veneris in Turkish marine waters; the presence of Holothuria tubulosa and Holothuria polii in the Bay of Igoumenitsa (Greece); the first recorded sighting of the bull ray Pteromylaeus bovinus in Maltese waters; and a new record of the fish Lobotes surinamensis from Maliakos Gulf.peer-reviewe

Computationally-Optimized Bone Mechanical Modeling from High-Resolution Structural Images

Image-based mechanical modeling of the complex micro-structure of human bone has shown promise as a non-invasive method for characterizing bone strength and fracture risk in vivo. In particular, elastic moduli obtained from image-derived micro-finite element (μFE) simulations have been shown to correlate well with results obtained by mechanical testing of cadaveric bone. However, most existing large-scale finite-element simulation programs require significant computing resources, which hamper their use in common laboratory and clinical environments. In this work, we theoretically derive and computationally evaluate the resources needed to perform such simulations (in terms of computer memory and computation time), which are dependent on the number of finite elements in the image-derived bone model. A detailed description of our approach is provided, which is specifically optimized for μFE modeling of the complex three-dimensional architecture of trabecular bone. Our implementation includes domain decomposition for parallel computing, a novel stopping criterion, and a system for speeding up convergence by pre-iterating on coarser grids. The performance of the system is demonstrated on a dual quad-core Xeon 3.16 GHz CPUs equipped with 40 GB of RAM. Models of distal tibia derived from 3D in-vivo MR images in a patient comprising 200,000 elements required less than 30 seconds to converge (and 40 MB RAM). To illustrate the system's potential for large-scale μFE simulations, axial stiffness was estimated from high-resolution micro-CT images of a voxel array of 90 million elements comprising the human proximal femur in seven hours CPU time. In conclusion, the system described should enable image-based finite-element bone simulations in practical computation times on high-end desktop computers with applications to laboratory studies and clinical imaging

Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems : Historical Cohort Study

BACKGROUND: Few countries have made much progress in implementing transparent and efficient systems for the allocation of mental health care resources. In England there are ongoing efforts by the National Health Service (NHS) to develop mental health 'payment by results' (PbR). The system depends on the ability of patient 'clusters' derived from the Health of the Nation Outcome Scales (HoNOS) to predict costs. We therefore investigated the associations of individual HoNOS items and the Total HoNOS score at baseline with mental health service costs at one year follow-up.METHODS: An historical cohort study using secondary care patient records from the UK financial year 2012-2013. Included were 1,343 patients with 'common mental health problems', represented by ICD-10 disorders between F32-48. Costs were based on patient contacts with community-based and hospital-based mental health services. The costs outcome was transformed into 'high costs' vs 'regular costs' in main analyses.RESULTS: After adjustment for covariates, 11 HoNOS items were not associated with costs. The exception was 'self-injury' with an odds ratio of 1.41 (95% CI 1.10-2.99). Population attributable fractions (PAFs) for the contribution of HoNOS items to high costs ranged from 0.6% (physical illness) to 22.4% (self-injury). After adjustment, the Total HoNOS score was not associated with costs (OR 1.03, 95% CI 0.99-1.07). However, the PAF (33.3%) demonstrated that it might account for a modest proportion of the incidence of high costs.CONCLUSIONS: Our findings provide limited support for the utility of the self-injury item and Total HoNOS score in predicting costs. However, the absence of associations for the remaining HoNOS items indicates that current PbR clusters have minimal ability to predict costs, so potentially contributing to a misallocation of NHS resources across England. The findings may inform the development of mental health payment systems internationally, especially since the vast majority of countries have not progressed past the early stages of this development. Discrepancies between our findings with those from Australia and New Zealand point to the need for further international investigations

Bamberger Federführer. Die besten Texte aus drei Jahren Literaturwettbewerb an der Universität Bamberg (2009-2011)

Im Kreise des Redaktions-Teams der studentischen Hochschulgruppe Feki.de entstand im November 2008 die Idee, einen Literaturwettbewerb an der Universität Bamberg zu etablieren. Das Projekt sollte es Studierenden aller Fachrichtungen ermöglichen, literarisch tätig zu werden und sich mit ihren Texten dem Urteil einer Jury bzw. der Leser zu stellen. Insgesamt drei Mal wurde der Wettbewerb durchgeführt: 2009 wurde die beste Kurzgeschichte zum Thema „Um 20 Uhr am Gabelmoo“ gesucht, im Jahr darauf lautete das Thema schlicht „fertig. Der letzte Wettbewerb stand schließlich unter dem Motto „Heimat“. Die Auswahl der Siegertexte übernahm eine Jury, bestehend aus Vertretern verschiedener Hochschulgruppen – Feki.de, Rezensöhnchen und Ottfried –, Prof. Dr. Andrea Bartl, Inhaberin der Professur für Neuere deutsche Literaturwissenschaft, dem Autor und Kritiker Rolf Bernhard Essig sowie wechselnd den Autoren Nora Gomringer, Kurt Kreiler und Nefvel Cumart. Daneben konnten die Feki.de-Leser über den jeweiligen Publikumspreisträger abstimmen. Neben den Studierenden der Universität Bamberg waren ab dem zweiten Jahr auch Teilnehmer der Schreibwerkstatt der JVA Ebrach eingeladen, ihre Texte einzu­senden. Im Vergleich mit den studentischen Texten boten die Beiträge der Gefangenen einen interessanten Perspektivwechsel für alle Teil­nehmer und Leser. Insgesamt 24 Kurzgeschichten aus den Jahren 2009 bis 2011 haben wir in diesem Band zusammengestellt. Neben den jeweiligen Siegertexten finden sich in der Anthologie auch die Beiträge der JVA-Bewohner zum Thema „fertig“, sowie ausgewählte Texte Studierender, die die Podestplätze nur knapp verfehlten

How often are X-rays used as diagnostic tool by healthcare providers in the Mazovian province of Poland

Background. Within the medical facilities provided by state healthcare services, a universally applied technique for patient diagnosis and treatment relies on ionising radiation; for example in radiotherapy and X-ray (ie. examination). Human exposure to such radiation is not however entirely free of associated health risks. Objectives. To determine and estimate the numbers and types of X-ray based medical procedures that are performed in general and dental radiography, mammography and computer tomography on patients from the Mazovian province in Poland, which included children, women and men subjects. Material and Methods. The numbers of patient subjects undergoing X-rays was estimated by surveying the patient intake in X-ray testing rooms within the healthcare facilities of the Mazovian province. Questionnaires were either dispatched by mail to such healthcare centres or were completed by the X-ray operating staff during the testing of quality control. Results so obtained from the latter, were compared to entries from the X-ray rooms’ register Results. During 2009, the number of X-rays performed were 7612046 equivalent to 1460 examinations per 1000 inhabitants. The majority were done on women ie. 3847961 (50.55%), followed by 3193781 (41.96%) on men and 570 304 (7.49%) for children. Conclusions. Results indicated that the predominating medical procedure used of this type, was for making general diagnoses; especially through using chest radiography. Others included, in descending order; dental X-ray (mainly intra-oral examination), computer tomography (mainly CT head examinations) and mammography procedures. It was also found that the annual numbers of having X-rays has increased compared to previous years.Wprowadzenie. W placówkach służby zdrowia powszechnie wykorzystywane jest promieniowanie jonizujące w celach medycznych zarówno w diagnostyce jak i terapii. Promieniowanie to nie jest jednak całkowicie obojętne dla zdrowia. Cel. Celem niniejszych badań było określenie i ocena liczby i rodzaju wykonywanych na terenie województwa mazowieckiego procedur medycznych z zakresu diagnostyki ogólnej, stomatologii, mammografii i tomografii komputerowej, osobno dla dzieci, kobiet i mężczyzn. Materiał i metody. Szacowanie liczby badań rentgenowskich przeprowadzono metodę ankietową. Zbierano dane liczbowe z placówek służby zdrowia przy wykorzystaniu opracowanej w tym celu ankiety. Ankiety przekazywano listownie do wylosowanych placówek służby zdrowia na terenie województwa mazowieckiego lub proszono o ich wypełnienie w trakcie przeprowadzania specjalistycznych testów parametrów fizycznych medycznych aparatów rentgenowskich. W tym drugim przypadku weryfikowano jednocześnie zgodność danych w wypełnianych ankietach w stosunku do zapisów w prowadzonych rejestrach badań pacjentów w pracowniach rentgenowskiej. Wyniki. Oszacowano, iż w 2009 roku na obszarze objętym niniejszymi badaniami wykonano łącznie 7612046 diagnostycznych badań rentgenowskich, co daje 1460 badań na 1000 mieszkańców. Najwięcej badań przeprowadzono u kobiet 3847961 (50.55 %), w dalszej kolejności u mężczyzn 3193781 (41.96 %) i dzieci 570304 (7.49 %). Wnioski. W wyniku przeprowadzonych analiz stwierdzono, iż największy udział w strukturze wykonywanych badań rtg miały procedury medyczne z zakresu diagnostyki ogólnej, w tym przede wszystkim badania klatki piersiowej. Na drugim miejscu znajdują się badania rentgenowskie stomatologiczne, głównie wewnątrzustne (punktowe). W dalszej kolejności pod względem liczby wykonywanych badań rtg uplasowały się procedury medyczne z zakresu tomografii komputerowej, wśród których dominowały badania tomograficzne CT głowy oraz procedury medyczne związane z badaniami mammograficznymi. Zaobserwowano wzrost liczby wykonywanych rentgenowskich procedur medycznych w odniesieniu do danych z wcześniej prowadzonych tego typu badań na terenie Polski

Heuristic Algorithm for Approximation Betweenness Centrality Using Graph Coarsening

Nowadays, graph analytics are widely used in many research fields and applications. One important analytic that measures the influence of each vertex on flows through the network, is the betweenness centrality. It is used to analyze real-world networks like for example social networks and networks in computational biology. Unfortunately this centrality metric is rather expensive to compute and there is a number of studies devoted to approximate it. Here we focus on approximating the computation of betweenness centrality for dynamically changing graphs. We present a novel approach based on graph coarsening for approximating values of betweenness centrality, when new edges are inserted. Unlike other approaches, we reduce the cost (but not complexity) of the betweenness centrality computation step by working on a coarser graph. Our approach demonstrates more than 60% speedup compared to the exact recalculation of the betweenness centrality for dynamically changing graphs. © 2015 The Authors