Providing Multilingual Access to Health-Oriented Content

Finding health-related content is not an easy task. People have to know what to search for, which medical terms to use, and where to find accurate information. This task becomes even harder when people such as immigrants wish to find information in their country of residence and do not speak the national language very well. In this paper, we present a new health information system that allows users to search for health information using natural language queries composed of multiple languages. We present the technical details of the system and outline the results of a preliminary user study to demonstrate the usability of the system

Providing multilingual access to health-related content

Finding health-related content is not an easy task. People have to know what to search for, which medical terms to use, and where to find accurate information. This task becomes even harder when people such as immigrants wish to find information in their country of residence and do not speak the national language very well. In this paper, we present a new health information system that allows users to search for health information using natural language queries composed of multiple languages. We present the technical details of the system and outline the results of a preliminary user study to demonstrate the usability of the system

KBART Phase III: Unresolved questions

During the “NISO update” session at the NISO Plus 2021 conference, which took place online due to the COVID-19 pandemic, members of the KBART (Knowledge Base and Related Tools) Standing Committee presented their plans and work toward KBART Phase III, a revision of the KBART Recommended Practice. In an interactive breakout session, they sought input from attendees on how KBART is being used and what new content types it should support. Presenters from the KBART Standing Committee were Noah Levin (Independent Professional), Stephanie Doellinger (OCLC, Inc.), Robert Heaton (Utah State University), and Andrée Rathemacher (University of Rhode Island). Assisting them in preparing the presentation were Jason Friedman (Canadian Research Knowledge Network), Sheri Meares (EBSCO Information Services), Benjamin Johnson (ProQuest), Elif Eryilmaz-Sigwarth (Springer Nature), and Nettie Lagace (NISO)

KBART Unresolved Questions

Presentation, KBART Unresolved Questions , presented at the NISO Plus 2021, Global Conversations, Global Connections conference on February 23, 2021. The conference was held online due to COVID-19. ------- This session was part of the NISO Update: NISO projects are numerous, diverse in output, coverage, and participation, and ACTIVE! This session will support presentations from a small selection of current efforts, all at different stages of their lifecycles. Following project presentations, we will move into breakout rooms for more direct project Q&A and discussions. Speakers: Stephanie Doellinger, Robert Heaton, Noah Levin, Andrée Rathemacher ------- The KBART presentation included an introduction with presentation slides and a breakout discussion using an interactive board on the EasyRetro.io platform. The main session had approximately 140 attendees, and the KBART breakout room had about 33. The link leads to session description at Sched website at https://sched.co/gKIA. A recording of the presentation is available here: https://nisoplus2021.cadmore.media/session/47?passcode=gKIA Additional files include a PDF of presentation slides, the EasyRetro board in multiple formats, screenshots of posts on https://discourse.niso.org/ and Twitter related to the session, and a PDF printout of the entire NISO Plus 2021 conference program schedule

Adaptive Qualität der Kontextoptimierung im Internet der Dinge: Modelle und Methoden

The Internet of Things (IoT) is a basis of the Internet of the future and will cover billions of intelligent objects being able to sense, actuate, and communicate with each other. Recent advances in the Internet of Things (IoT) provides rich opportunities for the development of more flexible context-aware solutions. Applications can benefit from those flexible mechanisms by adapting to change in the sensing environment such as sensor disappearance/degradation or service unavailability. This vision helps to effectively use IoT widely for more flexible context-aware applications and services. Understanding sensor data plays an important role in context-aware computing. However, collecting data from all available data sources over IoT is not feasible to improve the quality of context-aware applications and services due to scalability problems. The main issue is to find the right data sources providing the best data for specific context recognition tasks. Selecting appropriate sensors to address the specific context recognition task is an important challenge as a huge number of sensors is available in IoT and their quality differs from each other. Related processing method to get information from a sensor data also affects the overall context recognition quality. In this doctoral study, models and methods for improving the quality of context recognition have been researched, developed and evaluated. For this purpose, adequate models are proposed to express the quality with the data source itself first. Then, methods for selecting and adapting quality-optimal data sources have been developed to deal with the dynamicity of sensing environments. Proposed models and methods have been evaluated through a case study in the scope of autonomous driving.Das Internet der Dinge (Internet of Things, IoT) ist eine Grundlage des Internets der Zukunft und wird Milliarden intelligenter Objekte umfassen, die in der Lage sind, einander zu erfassen, zu betätigen und miteinander zu kommunizieren. Die jüngsten Fortschritte im Internet der Dinge (IoT) bieten reichhaltige Möglichkeiten für die Entwicklung flexiblerer, kontextsensitiver Lösungen. Anwendungen können von diesen flexiblen Mechanismen profitieren, indem sie sich an Veränderungen in der Erfassungsumgebung anpassen, wie z.B. das Verschwinden/die Verschlechterung von Sensoren oder die Nichtverfügbarkeit von Diensten. Diese Vision trägt dazu bei, dass IoT für flexiblere kontextsensitive Anwendungen und Dienste auf breiter Basis effektiv zu nutzen. Das Verständnis von Sensordaten spielt eine wichtige Rolle beim kontextsensitiven Rechnen. Aufgrund der Skalierbarkeitsprobleme ist es jedoch nicht möglich, Daten aus allen verfügbaren Datenquellen über das IoT zu sammeln, um die Qualität kontextbezogener Anwendungen und Dienste zu verbessern. Das Hauptproblem besteht darin, die richtigen Datenquellen zu finden, die die besten Daten für spezifische Aufgaben der Kontexterkennung liefern. Die Auswahl geeigneter Sensoren für die spezifische Kontexterkennungsaufgabe ist eine wichtige Herausforderung, da im IoT eine große Anzahl von Sensoren zur Verfügung steht und sich ihre Qualität voneinander unterscheidet. Die verwandte Verarbeitungsmethode, um Informationen aus den Daten eines Sensors zu erhalten, wirkt sich auch auf die Gesamtqualität der Kontexterkennung aus. In dieser Doktorarbeit wurden Modelle und Methoden zur Verbesserung der Qualität der Kontexterkennung erforscht, entwickelt und evaluiert. Zu diesem Zweck werden geeignete Modelle vorgeschlagen, um die Qualität zunächst mit der Datenquelle selbst auszudrücken. Dann wurden Methoden zur Auswahl und Anpassung qualitätsoptimaler Datenquellen entwickelt, um mit der Dynamik von Sensorumgebungen umzugehen. Die vorgeschlagenen Modelle und Methoden wurden anhand einer Fallstudie im Bereich des autonomen Fahrens evaluiert

MICROSTRIP BANDSTOP FILTER USING A DUAL-MODE SQUARE LOOP RESONATOR

WOS: 000261625900042Dual-mode microstrip bandstop filter, which has an inductive or capacitive perturbation element located at one of its corners, with a 90 degrees-bended lambda/4 microstrip feeding line is proposed. The degenerate mode splitting of a conventional dual-mode square loop resonator and the coupling coefficient between these modes are investigated. The filter characteristic is changed by the perturbation size. Finally, a novel dual-mode microstrip bandstop filter is designed and realized using degenerate modes of dual-mode microstrip square loop resonator. Two filters are designed, fabricated, and measured to demonstrate the validity of the proposed bandstop characteristic. (C) 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 147-150, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.2396

DUAL-MODE MICROSTRIP BANDSTOP FILTERS

20th Asia Pacific Microwave Conference (APMC 2008) -- DEC 16-20, 2008 -- Hong Kong, PEOPLES R CHINAWOS: 000274900900074…Scientific and Technological Research Council of Turkey (TUBI.TAK) [104E030]This work was supported by the Scientific and Technological Research Council of Turkey (TUBI.TAK) under Grant 104E030

The effect of nitric oxide, salicylic acid and hydrogen peroxide on the pigment content in excised cotyledons of red cabbage (Brassica oleraceae L.)

The effects of nitric oxide (NO), salicylic acid (SA) and hydrogen peroxide (H2O2), known as messenger molecules, on the physiological processes were investigated in biotic and abiotic stress conditions in plants. The present study explored the effects of NO, SA and H2O2 on the content of photosynthetic pigments and anthocyanin, an antioxidant polyphenolic compound, in excised cotyledons of red cabbage Brassica oleraceae L. comparatively. As the experimental material, the cotyledons of 10-day-old etiolated B. oleraceae seedlings, excised from the petiole were incubated in 10 ml distilled water (control group) and in sodium nitroprusside (SNP), SA and H2O2 of various concentrations (0.1, 0.5 and 1 mu M) in the course of 4 hours light period. Following incubation, the pigments were spectrophotometrically measured from the extracts of the cotyledons, of which fresh weights were recorded. A comparative evaluation of the correlation between the applied messenger molecules and the measured values of chlorophyll a, chlorophyll b, total chlorophyll, carotenoid and anthocynanin was presented here. As a result, in case of total chlorophyll and carotenoid, inducing concentrations of SNP, SA and H2O2 were found to be 0.5 mu M, 1 mu M and 0.1 mu M, respectively. Of these messenger molecules, SNP was the most effective on anthocyanin at a concentration of 1 mu M

Suprathel (R)-assisted surgical treatment of the hand in a dystrophic epidermolysis bullosa patient

WOS: 000342664900003PubMed: 24517465Epidermolysis bullosa (EB) is a progressive familial disorder composed of dermal mucosal blisters, flexion contractures and pseudosyndactylies. Flexion contractures and pseudosyndactyly can be treated with surgery but usually require skin grafting. Because of poor wound healing, skin graft harvesting is a challenge in these patients. In order to prevent donor-site morbidities due to skin graft harvesting some alloplastic materials were introduced. In this study, we focused on Suprathel((R)) as a new allograft material for covering the skin defects of a patient with dystrophic EB

Novel Benzimidazole-Based Compounds as Antimicrobials: Synthesis, Molecular Docking, Molecular Dynamics and in silico ADME Profile Studies

Some novel benzimidazole derivatives were synthesized and their antimicrobial activities were evaluated. Compounds 3a and 3b exhibited excellent antibacterial activity with MIC values <4 µg/mL against Staphylococcus aureus ATCC 29213 (MSSA) and Staphylococcus aureus ATCC 43300 (MRSA). Molecular docking analyzes of compounds with MIC values of 16 µg/mL and below against gram-positive bacteria and fungi were performed using FabH (β-ketoacyl-acyl carrier protein synthase III) as bacterial protein and CYP51 (sterol 14α-demethylase) as the fungal target protein. According to the molecular docking analysis, it was calculated that sufficient protein-ligand interaction energy was liberated between the compounds 2f, 3a, 3b, 3e and 3h and the antibacterial target protein FabH and strong interactions were formed between 2f and 3h and the antifungal target protein. According to RMSD, RMSF and MMPBSA measurements obtained from molecular dynamics, it is understood that compounds 3a and 3b maintain protein-ligand stability in silico physiological conditions