Evaluation of a PET Prototype Using LYSO:Ce Monolithic Detector Block

We have analyzed the performance of a PET demonstrator formed by two sectors of four monolithic detector blocks placed face-to-face. Both front-end and read-out electronics have been evaluated by means of coincidence measurements using a rotating 22Na source placed at the center of the sectors in order to emulate the behavior of a complete full ring. A continuous training method based on neural network (NN) algorithms has been carried out to determine the entrance points over the surface of the detectors. Reconstructed images from 1 MBq 22Na point source and 22Na Derenzo phantom have been obtained using both filtered back projection (FBP) analytic methods and the OSEM 3D iterative algorithm available in the STIR software package [1]. Preliminary data on image reconstruction from a 22Na point source with Ø = 0.25 mm show spatial resolutions from 1.7 to 2.1 mm FWHM in the transverse plane. The results confirm the viability of this design for the development of a full-ring brain PET scanner compatible with magnetic resonance imaging for human studies.

Group growth and educational dynamics /

Cover title.

Single-subject research designs and data analyses for assessing elite athletes' conditioning

Research in conditioning (all the processes of preparation for competition) has used group research designs, where multiple athletes are observed at one or more points in time. However, empirical reports of large inter-individual differences in response to conditioning regimens suggest that applied conditioning research would greatly benefit from single-subject research designs. Single-subject research designs allow us to find out the extent to which a specific conditioning regimen works for a specific athlete, as opposed to the average athlete, who is the focal point of group research designs. The aim of the following review is to outline the strategies and procedures of single-subject research as they pertain to.. the assessment of conditioning for individual athletes. The four main experimental designs in single-subject research are: the AB design, reversal (withdrawal) designs and their extensions, multiple baseline designs and alternating treatment designs. Visual and statistical analyses commonly used to analyse single-subject data, and advantages and limitations are discussed. Modelling of multivariate single-subject data using techniques such as dynamic factor analysis and structural equation modelling may identify individualised models of conditioning leading to better prediction of performance. Despite problems associated with data analyses in single-subject research (e.g. serial dependency), sports scientists should use single-subject research designs in applied conditioning research to understand how well an intervention (e.g. a training method) works and to predict performance for a particular athlete.

Implementação de uma arquitetura fuzzy neural em hardware com treinamento online

Computational Intelligence Methods have been expanding to industrial applications motivated by their ability to solve problems in engineering. Therefore, the embedded systems follow the same idea of using computational intelligence tools embedded on machines. There are several works in the area of embedded systems and intelligent systems. However, there are a few papers that have joined both areas. The aim of this study was to implement an adaptive fuzzy neural hardware with online training embedded on Field Programmable Gate Array – FPGA. The system adaptation can occur during the execution of a given application, aiming online performance improvement. The proposed system architecture is modular, allowing different configurations of fuzzy neural network topologies with online training. The proposed system was applied to: mathematical function interpolation, pattern classification and selfcompensation of industrial sensors. The proposed system achieves satisfactory performance in both tasks. The experiments results shows the advantages and disadvantages of online training in hardware when performed in parallel and sequentially ways. The sequentially training method provides economy in FPGA area, however, increases the complexity of architecture actions. The parallel training method achieves high performance and reduced processing time, the pipeline technique is used to increase the proposed architecture performance. The study development was based on available tools for FPGA circuits.

Efeito do exercício físico na estabilidade de membrana de eritrócitos

CHAPTER II - This study evaluated the effects of two different types of acute aerobic exercise on the osmotic stability of human erythrocyte membrane and on different hematological and biochemical variables that are associated with this membrane property. The study population consisted of 20 healthy and active men. Participants performed single sessions of two types of exercise. The first session consisted of 60 min of moderate-intensity continuous exercise (MICE). The second session, executed a week later, consisted of high-intensity interval exercise (HIIE) until exhaustion. The osmotic stability of the erythrocyte membrane was represented by the inverse of the salt concentration (1/H50) at the midpoint of the sigmoidal curve of dependence between the absorbance of hemoglobin and the NaCl concentration. The values of 1/H50 changed from 2.29 ± 0.1 to 2.33 ± 0.09 after MICE and from 2.30 ± 0.08 to 2.23 ± 0.12 after HIIE. In MICE has occurred an increase in the mean corpuscular volume, probably due to in vivo lysis of older erythrocytes, with preservation of cells that were larger and more resistant to in vitro lysis. The study showed that a single bout of acute exercise affected the erythrocyte osmotic stability, which increased after MICE and decreased after HIIE.

The potential for pharmacists to manage children attending emergency departments

AIM: There have been concerns about maintaining appropriate clinical staff levels in Emergency Departments in England.1 The aim of this study was to determine if Emergency Department attendees aged from 0-16 years could be managed by community pharmacists or hospital independent prescriber pharmacists with or without further advanced clinical practice training. METHOD: A prospective, 48 site, cross-sectional, observational study of patients attending Emergency Departments (ED) in England, UK was conducted. Pharmacists at each site collected up to 400 admissions and paediatric patients were included in the data collection. The pharmacist independent prescribers (one for each site) were asked to identify patient attendance at their Emergency Department, record anonymised details of the cases-age, weight, presenting complaint, clinical grouping (e.g. medicine, orthopaedics), and categorise each presentation into one of four possible categories: CP, Community Pharmacist, cases which could be managed by a community pharmacist outside an ED setting; IP-cases that could be managed at ED by a hospital pharmacist with independent prescriber status; IPT, Independent Prescriber Pharmacist with additional training-cases which could be managed at ED by a hospital pharmacist independent prescriber with additional clinical training; and MT, Medical Team only-cases that were unsuitable for the pharmacist to manage. An Impact Index was calculated for the two most frequent clinical groupings using the formula: Impact index=percentage of the total workload of the clinical grouping multiplied by the percentage ability of pharmacists to manage that clinical group. RESULTS: 1623 out of 18,229 (9%) attendees, from 45 of the 48 sites, were children aged from 0 to 16 years of age (median 8 yrs, range 0-16), 749 were female and 874 were male. Of the 1623 admissions, 9% of the cases were judged to be suitable for clinical management by a community pharmacist (CP), 4% suitable for a hospital pharmacist independent prescriber (IP), 32% suitable for a hospital independent pharmacist prescriber with additional training (IPT); and the remaining 55% were only suitable for the Medical Team (MT). The most frequent clinical groups and impact index for the attendees were General Medicine=10.78 and orthopaedics=10.60. CONCLUSION: Paediatric patients attending Emergency Departments were judged by pharmacists to be suitable for management outside a hospital setting in approximately 1 in 11 cases, and by hospital independent prescriber pharmacists in 4 in 10 cases. With further training, it was found that the total proportion of cases that could be managed by a pharmacist was 45%. The greatest impact for pharmacist management occurs in general medicine and orthopaedics.

Skadeförebyggande träningsmetoder mot hamstringsskador inom svensk herrelitfotboll i jämförelse med rekommenderad evidensbaserad forskning

Purpose The purpose of this study was to describe the evidence-based research recommendations on injury prevention methods against hamstring injuries among Swedish men's elite team in football. The research-based recommendations was then to be compared with the way Swedish elite football teams work to prevent hamstrings injuries. Method First a literature search of PubMed and SPORTDiscuss was made to find the most evidence-based training methods to hamstring injuries. Then an Internet questionnaire regarding injury prevention training methods against hamstring injuries was sent to all Swedish elite football teams. The answers off the questionnaire was then compared with the research that had the most evidence based training methods to hamstring injuries. Results Research shows that the method with the most evidence is eccentric strength training. Flexibility, static stretch and core stability training is research methods that can be used to prevent hamstrings injuries but these methods lack a large validated research basis. 8 of 32 (25 %) teams answered the questionnaire. All teams indicated that they were working with injury prevention methods but the methods varied from the eccentric strength training to periodization and flexibility training. 2 of 8 teams indicated that they worked with eccentric strength training that is recommended by science as the most evidence-based training method. Conclusion The study shows that the teams partly work after what the research recommends as the most evidence-based training methods against hamstring injuries. However, the study lacks validity and further research is needed before definitive conclusions can be drawn.

Handeln in der Weltgesellschaft. Zum Umgang mit Handlungsaufforderungen im Unterricht zu Themen des Lernbereichs Globale Entwicklung

In dem Aufsatz werden ausgewählte Ergebnisse aus einem Projekt der qualitativ-empirischen Unterrichtsforschung berichtet, in dem Unterricht zu Themen des Lernbereichs Globale Entwicklung untersucht wurde. Der Fokus des Beitrags liegt auf der Frage, wie Schülerinnen und Schüler mit Handlungsaufforderungen umgehen, die in Lehr-Lernarrangements des Globalen Lernens kommuniziert werden. Beispielhaft werden die Interpretationen von Sequenzen aus dem Unterricht vorgestellt, in denen unterschiedliche Formen des Umgangs mit Handlungsaufforderungen rekonstruiert wurden: die Reflexion über das Nicht-Handeln und die Reflexion über Handlungsaufforderungen als politisches Thema. Dabei kann gezeigt werden, wie Wissen und Kompetenzen von Schülerinnen und Schülern in didaktisch unterschiedlich strukturierten Lehr-Lernarrangements angeeignet werden. (DIPF/Orig.)

Vorurteile und Feindbilder zwischen Israelis und Palästinensern durch Dialogarbeit überwinden?

Der folgende Beitrag beschreibt am Beispiel einer akademischen Begegnung mit Israelis und Palästinensern Dialogarbeit zur Überwindung von Vorurteilen und Feindbildern. Durch solche Begegnungen können monolithische Schwarz-Weiß-Denkstrukturen überwunden werden. Das Zuhören beim Erzählen persönlicher Lebensgeschichten kann Empathie auslösen und eigene monolithische "Narrative" in Frage stellen. Beim didaktischen Konzept solcher Dialogprozesse ist auf den Aspekt der Nachhaltigkeit besonderer Wert zu legen. (DIPF/Orig.)

Sprachförderpraxis unter den Bedingungen der Diglossie. Zur "Sprachentrennung" bzw. "Sprachenmischung" als Normalität im Kindergartenalltag der deutschsprachigen Schweiz

Im vorliegenden Beitrag wird auf die pädagogische Qualität sprachlicher Förderpraxis im Feld des Kindergartens unter den curricularen Vorgaben und den vorgegebenen Diglossie-Bedingungen in der deutschsprachigen Schweiz deskriptiv-analytisch eingegangen. Durch unsere ethnographisch angelegte Feldstudie konnten wir aufzeigen, dass die sprachliche Förderung in ihrer praktischen Realisierung sowohl Sprachenmischung als auch Sprachentrennung voraussetzt und zugleich hervorbringt. Wir diskutieren unsere Ergebnisse auf der Basis von neueren soziolinguistisch fundierten pädagogisch-didaktischen Ansätzen, die auf das gesamte linguistische Repertoire mehrsprachiger Individuen (Lehrpersonen und Kinder) fokussieren und somit zur Qualitätsentwicklung des (vor-)schulischen Sprachunterrichts in der deutschsprachigen Schweiz beitragen könnten. (DIPF/Orig.)

Sprache als Schlüssel zum Bildungserfolg? Eine Fallstudie zur Reproduktion von Bildungsungleichheit im pädagogischen Alltag

Der vorliegende Beitrag fokussiert auf den Bildungsabschnitt im Leben eines mehrsprachigen Kindes, in dem der Übergang vom Kindergarten in die Primarschule ethnographisch untersucht wird. Am Beispiel von Dokumenten- und Praxisanalysen werden Selektionsprozesse und die Entstehung von Bildungsungleichheit auf der Mikroebene des pädagogischen Alltags insbesondere beim untersuchten Übergang rekonstruiert. Kontextuelle bildungspolitische Rahmenbedingungen werden dabei ebenfalls thematisiert. (DIPF/Orig.)

Die Anwendung des 3-2-1 Modells didaktischer Elemente in der Hochschulpraxis

Im Verlauf einer universitätsweiten Förderinitiative wurde für die Lehrveranstaltung Betonbau ein Projekt durchgeführt, das mithilfe Neuer Medien versucht, die Lehre an der Hochschule nachhaltig zu verbessern. In dieser Veröffentlichung wird über die Entwicklung von interaktiven Lernobjekten (ILO) berichtet, die streng nach den Gesichtspunkten des 3-2-1 Modells didaktischer Elemente nach Kerres (2001) aufgebaut wurden. Die Umsetzung, sowohl in technischer als auch didaktischer Hinsicht, sowie die Implementierung im Curriculum wird detailliert beschrieben. Eine Diskussion über eine mögliche Effizienzsteigerung in der Lehre rundet diese Veröffentlichung ab.(DIPF/Orig.)

Datasets, features, learning, and models in visual recognition

Visual recognition is a fundamental research topic in computer vision. This dissertation explores datasets, features, learning, and models used for visual recognition. In order to train visual models and evaluate different recognition algorithms, this dissertation develops an approach to collect object image datasets on web pages using an analysis of text around the image and of image appearance. This method exploits established online knowledge resources (Wikipedia pages for text; Flickr and Caltech data sets for images). The resources provide rich text and object appearance information. This dissertation describes results on two datasets. The first is Berg’s collection of 10 animal categories; on this dataset, we significantly outperform previous approaches. On an additional set of 5 categories, experimental results show the effectiveness of the method. Images are represented as features for visual recognition. This dissertation introduces a text-based image feature and demonstrates that it consistently improves performance on hard object classification problems. The feature is built using an auxiliary dataset of images annotated with tags, downloaded from the Internet. Image tags are noisy. The method obtains the text features of an unannotated image from the tags of its k-nearest neighbors in this auxiliary collection. A visual classifier presented with an object viewed under novel circumstances (say, a new viewing direction) must rely on its visual examples. This text feature may not change, because the auxiliary dataset likely contains a similar picture. While the tags associated with images are noisy, they are more stable when appearance changes. The performance of this feature is tested using PASCAL VOC 2006 and 2007 datasets. This feature performs well; it consistently improves the performance of visual object classifiers, and is particularly effective when the training dataset is small. With more and more collected training data, computational cost becomes a bottleneck, especially when training sophisticated classifiers such as kernelized SVM. This dissertation proposes a fast training algorithm called Stochastic Intersection Kernel Machine (SIKMA). This proposed training method will be useful for many vision problems, as it can produce a kernel classifier that is more accurate than a linear classifier, and can be trained on tens of thousands of examples in two minutes. It processes training examples one by one in a sequence, so memory cost is no longer the bottleneck to process large scale datasets. This dissertation applies this approach to train classifiers of Flickr groups with many group training examples. The resulting Flickr group prediction scores can be used to measure image similarity between two images. Experimental results on the Corel dataset and a PASCAL VOC dataset show the learned Flickr features perform better on image matching, retrieval, and classification than conventional visual features. Visual models are usually trained to best separate positive and negative training examples. However, when recognizing a large number of object categories, there may not be enough training examples for most objects, due to the intrinsic long-tailed distribution of objects in the real world. This dissertation proposes an approach to use comparative object similarity. The key insight is that, given a set of object categories which are similar and a set of categories which are dissimilar, a good object model should respond more strongly to examples from similar categories than to examples from dissimilar categories. This dissertation develops a regularized kernel machine algorithm to use this category dependent similarity regularization. Experiments on hundreds of categories show that our method can make significant improvement for categories with few or even no positive examples.

„Lernen durch Lehren“ in der Mathematik – Videotutorials und Apps im Praxistest

Das Fach Mathematik stellt Lehrende in vielfältiger Weise vor Herausforderungen: Die Inhalte fallen den meisten Studierenden schwer, die verschiedenen Lerntypen machen sich besonders deutlich bemerkbar und konventionelle Lehrmethoden erfordern hohe Selbstdisziplin, weil der Stoff hier kontinuierlich nachgearbeitet werden muss. Dies äußert sich in hohen Durchfall- und Abbruchquoten in einem Studienfach, das ausgezeichnete Arbeitsplatzchancen in Aussicht stellt und dessen Absolventen in der Wirtschaft und Industrie stark nachgefragt sind. Eine Überlegung, wie dieser Herausforderung zukünftig begegnet werden kann, besteht darin, Studierende mit Hilfe entsprechender Anreize mehr in die Lehrveranstaltungen einzubinden und auf diesem Weg eine tiefergehende Beschäftigung mit den Inhalten zu unterstützen. Dabei soll eine aktive und gleichzeitig im Semesterverlauf kontinuierliche Auseinandersetzung mit den mathematischen Inhalten angeregt und gefördert werden. In diesem Beitrag werden zwei Ideen vorgestellt, die sich an der didaktischen Methode „Lernen durch Lehren“ (LdL) orientieren und die eine Aktivierung sowie eine stärkere thematische Einbindung der Studierenden zum Ziel haben. (DIPF/Orig.)