Flexibles WebMapping durch eigene Erweiterungen des Esri JavaScript API

Wie viele andere GIS-Dienstleister der Öffentlichen Verwaltung auch, ist die Abteilung Geoinformation und Vermessung des Kantons Luzern (geo) mit der wachsenden Nachfrage nach flexiblen Webmapping-Applikationen konfrontiert. Neben klassischen Stand-Alone-Anwendungen unterschiedlicher Komplexität werden zunehmend integrierte Lösungen aktuell. Drittanbieter-Applikationen sollen mit Mapping- und GIS-Funktionalitäten erweitert werden. Um den vielfältigen Ansprüchen gerecht zu werden, hat geo zu diesem Zweck einen Viewer (MapViewer LU 4.0) und ein eigenes API (geo.api LU) inklusive Print-Service entwickelt. Das API baut als Erweiterung auf dem bestehenden Esri JavaScript API auf. In der Präsentation werden Anforderungen, Lösungsansätze sowie die konkrete Umsetzung mittels Anwendungs-Demo vorgestellt.

IgE to recombinant allergens Api m 1, Ves v 1, and Ves v 5 distinguish double sensitization from crossreaction in venom allergy

Diagnostic tests in patients with Hymenoptera venom allergy are frequently positive to venoms of both honey bee and wasp (Vespula). Component-resolved analysis with recombinant species-specific major allergens (rSSMA) may help to distinguish true double sensitization from crossreactivity.

Using Dynamic Analysis for API Migration

When changing the API of a framework, we need to migrate its clients. This is best done automatically. In this paper, we focus on API migration where the mechanism for inversion of control changes. We propose to use dynamic analysis for such API migration since structural refactorings alone are often not sufficient. We consider JExample as a case-study. JExample extends JUnit with first-class dependencies and fixture injection. We investigate how dynamically collected information about test coverage and about instances under test can be used to detect dependency injection candidates.

LC-MS/MS screening method for designer amphetamines, tryptamines, and piperazines in serum

Since the late 1990s and early 2000s, derivatives of well-known designer drugs as well as new psychoactive compounds have been sold on the illicit drug market and have led to intoxications and fatalities. The LC-MS/MS screening method presented covers 31 new designer drugs as well as cathinone, methcathinone, phencyclidine, and ketamine which were included to complete the screening spectrum. All but the last two are modified molecular structures of amphetamine, tryptamine, or piperazine. Among the amphetamine derivatives are cathinone, methcathinone, 3,4-DMA, 2,5-DMA, DOB, DOET, DOM, ethylamphetamine, MDDMA, 4-MTA, PMA, PMMA, 3,4,5-TMA, TMA-6 and members of the 2C group: 2C-B, 2C-D, 2C-H, 2C-I, 2C-P, 2C-T-2, 2C-T-4, and 2C-T-7. AMT, DPT, DiPT, MiPT, DMT, and 5MeO-DMT are contained in the tryptamine group, BZP, MDBP, TFMPP, mCPP, and MeOPP in the piperazine group. Using an Applied Biosystems LC-MS/MS API 365 TurboIonSpray it is possible to identify all 35 substances. After addition of internal standards and mixed-mode solid-phase extraction the analytes are separated using a Synergi Polar RP column and gradient elution with 1 mM ammonium formate and methanol/0.1% formic acid as mobile phases A and B. Data acquisition is performed in MRM mode with positive electro spray ionization. The assay is selective for all tested substances. Limits of detection were determined by analyzing S/N-ratios and are between 1.0 and 5.0 ng/mL. Matrix effects lie between 65% and 118%, extraction efficiencies range from 72% to 90%.

Validation of the Asthma Predictive Index and comparison with simpler clinical prediction rules

Background The loose and stringent Asthma Predictive Indices (API), developed in Tucson, are popular rules to predict asthma in preschool children. To be clinically useful, they require validation in different settings. Objective To assess the predictive performance of the API in an independent population and compare it with simpler rules based only on preschool wheeze. Methods We studied 1954 children of the population-based Leicester Respiratory Cohort, followed up from age 1 to 10 years. The API and frequency of wheeze were assessed at age 3 years, and we determined their association with asthma at ages 7 and 10 years by using logistic regression. We computed test characteristics and measures of predictive performance to validate the API and compare it with simpler rules. Results The ability of the API to predict asthma in Leicester was comparable to Tucson: for the loose API, odds ratios for asthma at age 7 years were 5.2 in Leicester (5.5 in Tucson), and positive predictive values were 26% (26%). For the stringent API, these values were 8.2 (9.8) and 40% (48%). For the simpler rule early wheeze, corresponding values were 5.4 and 21%; for early frequent wheeze, 6.7 and 36%. The discriminative ability of all prediction rules was moderate (c statistic ≤ 0.7) and overall predictive performance low (scaled Brier score < 20%). Conclusion Predictive performance of the API in Leicester, although comparable to the original study, was modest and similar to prediction based only on preschool wheeze. This highlights the need for better prediction rules.

The transcription factor encyclopedia

Here we present the Transcription Factor Encyclopedia (TFe), a new web-based compendium of mini review articles on transcription factors (TFs) that is founded on the principles of open access and collaboration. Our consortium of over 100 researchers has collectively contributed over 130 mini review articles on pertinent human, mouse and rat TFs. Notable features of the TFe website include a high-quality PDF generator and web API for programmatic data retrieval. TFe aims to rapidly educate scientists about the TFs they encounter through the delivery of succinct summaries written and vetted by experts in the field.

Streptococcus spp. and related bacteria: Their identification and their pathogenic potential for chronic mastitis - A molecular approach

Streptococcus spp. and related bacteria form a large group of organisms which are associated with bovine intramammary Infections (IMI). Some of them are the well-known mastitis pathogens Streptococcus uberis and Streptococcus agalactiae. In addition, there are a considerable number of these gram-positive, catalase-negative cocci (PNC) with unclear mastitic pathogenicity such as Aerococcus viridans which make the conventional diagnostics of PNC difficult. One diagnostic, API 20 Strep (API, Biomerieux) is recommended which, as a phenotypic assay, involves a series of miniaturized biochemical tests. Recently, preference is given to genotypic identification methods. In particular, sequencing of the 16S rRNA gene allows highly reproducible and accurate identification of bacteria and permits discovery of novel, clinically relevant bacteria. As a consequence, the aim of the present study was to compare identification of IMI-associated PNC by the API method as well as by sequencing of their 16S rRNA gene (16S). Furthermore, the correlation of these bacteria to bovine chronic mastitis and their phylogeny was investigated. 102 PNC isolated from single quarter milk samples were identified by API and 16S sequencing. Considering Streptococcus uberis, Streptococcus dysgalactiae subsp. dysgalactiae and Streptococcus agalactiae, both methods generated fully concordant results. In contrast, a very high disconcordance was observed for most of the other PNC, in particular Enterococcus spp., Aerococcus viridans and the viridans streptococci were shown as apathogenic. Lactococcus garvieae was found to be an opportunistic pathogen causing IMI during late lactation. In addition, PNC isolated from milk were frequently observed together with other bacteria, in particular with Staphylococcus spp. In these cases, the levels of somatic cell counts (SCC) were determined by the specific PNC present in the sample. Considering PNC phylogeny based on 16S sequencing, 3 major clusters were observed. They included all the common mastitis pathogens (cluster I), the Lactococcus spp., Enterococcus spp. and Aerococcus spp. (cluster II) and all the viridans streptococci (cluster III).

Meta-Environment and Executable Meta-Language using Smalltalk: an Experience Report

Object-oriented modelling languages such as EMOF are often used to specify domain specific meta-models. However, these modelling languages lack the ability to describe behavior or operational semantics. Several approaches have used a subset of Java mixed with OCL as executable meta-languages. In this experience report we show how we use Smalltalk as an executable meta-language in the context of the Moose reengineering environment. We present how we implemented EMOF and its behavioral aspects. Over the last decade we validated this approach through incrementally building a meta-described reengineering environment. Such an approach bridges the gap between a code-oriented view and a meta-model driven one. It avoids the creation of yet another language and reuses the infrastructure and run-time of the underlying implementation language. It offers an uniform way of letting developers focus on their tasks while at the same time allowing them to meta-describe their domain model. The advantage of our approach is that developers use the same tools and environment they use for their regular tasks. Still the approach is not Smalltalk specific but can be applied to language offering an introspective API such as Ruby, Python, CLOS, Java and C#.

Update zur Hymenopterengiftallergie mit besonderen Aspekten in der Diagnostik und Therapie

Die Hymenopterengiftallergie ist weltweit eine der wichtigsten Ursachen für allergische und anaphylaktische Reaktionen, die bis zum Tod führen kann. Auch wenn sich durch Globalisierung und Klimawandel andere Hymenopterenarten verbreiten können, sind in Mitteleuropa Honigbienen- und Wespenstiche die häufigsten Auslöser der Hymenopterengiftallergie. Der Nachweis eines erhöhten basalen Tryptasewerts hat sich als Risikofaktor für schwere allergische Reaktionen nach Insektenstichen mehrfach bestätigt, sodass dessen Bestimmung heutzutage in der Diagnostik unerlässlich ist. Bis heute sind zwölf Bienen- und sechs Wespengiftallergene identifiziert, wobei aktuell die nicht glykolysierten, speziesspezifischen Hauptallergene Api m 1 (Biene), Ves v 5 und Ves v 1 (Wespe) kommerziell für die Diagnostik verfügbar sind. Im Fall einer Doppelpositivität der spezifischen Immunglobuline E (sIgE) gegen beide Gesamtgifte sind diese für die Identifizierung des verantwortlichen Gifts für die Immuntherapie wertvoll. Falls damit keine klare Diagnose erzielt wird, bietet sich der Basophilenaktivierungstest als zusätzlicher In-vitro-Assay an. Therapeutisch ist die spezifische Immuntherapie mit Insektengiften immer noch die einzige kausale und auch effektive Behandlung einer Hymenopterengiftallergie. Während fast alle Patienten mit Wespengiftallergie durch die Immuntherapie mit Wespengift geschützt sind, entwickeln etwa 20 % der Bienengiftallergiker trotz Bienengiftimmuntherapie bei Reexposition noch – meist leichtere – Allgemeinreaktionen. Durch Steigerung der Erhaltungsdosis kann fast jeder Patient geschützt werden. Ferner ist eine Optimierung in der Behandlung mit Bienengift denkbar, da in den präsenten Therapielösungen relevante Bienengiftallergene wie Api m 10 oder Api m 3 nicht oder nur in geringer Konzentration vorhanden sind. Aufgrund der aktuellen Forschungsrichtung mit Identifizierung IgE-induzierender Allergene rücken andere Therapieansätze bei der Behandlung von Hymenopterengiftallergie in den Hintergrund.

Customized mashups for improved reputation visualization

This document describes a possible use for the YouReputation API. A mashup combining the YouReputation and the Flickr APIs attempts to improve the visualization of reputation. First, this paper gives an introduction to Web services and APIs and further explains the developed prototype. This paper introduces an API that can be easily combined with other APIs to improve the representation of reputation terms and therefore enhance usability and design.

Overthrowing the Tyranny of Alphabetical Ordering in Documentation Systems

Software developers are often unsure of the exact name of the API method they need to use to invoke the desired behavior. Most state-of-the-art documentation browsers present API artefacts in alphabetical order. Albeit easy to implement, alphabetical order does not help much: if the developer knew the name of the required method, he could have just searched for it in the first place. In a context where multiple projects use the same API, and their source code is available, we can improve the API presentation by organizing the elements in the order in which they are more likely to be used by the developer. Usage frequency data for methods is gathered by analyzing other projects from the same ecosystem and this data is used then to improve tools. We present a preliminary study on the potential of this approach to improve the API presentation by reducing the time it takes to find the method that implements a given feature. We also briefly present our experience with two proof-of-concept tools implemented for Smalltalk and Java.