Jürgen P. Schulze

University of California, San Diego

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Thomas A. DeFanti

Qualcomm (United States)

Kamran Alipour

University of California, San Diego

Philip Weber

Brain Mapping Foundation

Dietrich Prescher

Max Planck Institute of Colloids and Interfaces

Giedrius Burachas

SRI International

A Prud'homme

University of California, San Diego

Thomas E. Levy

University of California, San Diego

U. Sonnenborn

Ardeypharm (Germany)

Han Suk Kim

University of California, San Diego

Arijit Ray

Visva-Bharati University

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University of California, San Diego

153

University of Illinois Chicago

University of California System

University of Illinois Urbana-Champaign

Qualcomm (United States)

San Diego Supercomputer Center

University of Utah

UC San Diego Health System

Czech Academy of Sciences, Institute of Microbiology

University of Calgary

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Psychologische Grundlagen des Ernährungsverhaltens

Steinkopff eBooks (1990)

Hans-Albrecht Ketz M. Friedrich B. Gaßmann H. Haenel Dieter Johnsen

In der internationalen Fachliteratur ist ein steigendes Interesse an psychologischen Aspek- ten des Ernährungsverhaltens festzustellen. Letztlich richten sich diese auf die Aktivitäten zur Beschaffung, Zubereitung und zum Verzehr von Lebensmitteln sowie auf die hierbei wirkenden inneren und äußeren Faktoren. Während tierisches Ernährungsverhalten in- stinktiv gesteuert wird, treten beim Menschen biologische Steuerungsmechanismen weit- gehend zurück. Das menschliche Ernährungsverhalten wird überwiegend durch die soziale Umwelt beeinflußt. Schlüssel zur Steuerung sind dabei Motive auf der Basis der mit der Ernährung zusammenhängenden Bedürfnisse. Wichtige Triebkräfte für das Ernährungsverhalten sind die Gesamtheit der Sinneseindrücke beim Verzehr von Lebensmitteln und der Genuß.

Umwelt

10.1007/978-3-642-72430-5_7

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Improving Users' Mental Model with Attention-directed Counterfactual Edits

arXiv (Cornell University) (2021)

Kamran Alipour Arijit Ray Xiao Lin Michael Cogswell Jürgen P. Schulze

In the domain of Visual Question Answering (VQA), studies have shown improvement in users' mental model of the VQA system when they are exposed to examples of how these systems answer certain Image-Question (IQ) pairs. In this work, we show that showing controlled counterfactual image-question examples are more effective at improving the mental model of users as compared to simply showing random examples. We compare a generative approach and a retrieval-based approach to show counterfactual examples. We use recent advances in generative adversarial networks (GANs) to generate counterfactual images by deleting and inpainting certain regions of interest in the image. We then expose users to changes in the VQA system's answer on those altered images. To select the region of interest for inpainting, we experiment with using both human-annotated attention maps and a fully automatic method that uses the VQA system's attention values. Finally, we test the user's mental model by asking them to predict the model's performance on a test counterfactual image. We note an overall improvement in users' accuracy to predict answer change when shown counterfactual explanations. While realistic retrieved counterfactuals obviously are the most effective at improving the mental model, we show that a generative approach can also be equally effective.

Counterfactual conditional

Inpainting

Mental model

Generative model

Anaphora (linguistics)

10.48550/arxiv.2110.06863

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Bridging the resolution gap

Chih K. Liang Jürgen P. Schulze Ruth West Maryann E. Martone Matthias Zwicker

No abstract available.

10.1145/1280720.1280852

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A DirectX-Based DICOM Viewer for Multi-user Surgical Planning in Augmented Reality

Lecture notes in computer science (2022)

Menghe Zhang Weichen Liu Nadir Weibel Jürgen P. Schulze

DICOM

10.1007/978-3-031-20716-7_17

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Real-Time Photo-Realistic Augmented Reality Under Dynamic Ambient Lighting Conditions

Electronic Imaging (2019)

Kamran Alipour Jürgen P. Schulze

Despite all major developments in graphics hardware, realistic rendering is still a computational challenge in real-time augmented reality (AR) applications deployed on portable devices. We have developed a real-time photo-realistic AR system which captures environment lighting dynamically, computes second order spherical harmonic (SH) coefficients of it on the CPU and the resulting nine coefficients on the AR device for real-time rendering. Our technique provides a very computationally efficient rendering procedure for diffuse objects in real-time rendering scenarios. We use two options for dynamic photometric registration of environments: a Ricoh Theta S 360° camera, and a Raspberry Pi Zero mini PC with a camera with a 180° fisheye lens. We tested our system successfully with software developed in Unity 3D with the Vuforia AR package, running on a Microsoft Hololens, and also an Oculus Rift DK2 with a stereo camera add-on.

Real-time rendering

10.2352/issn.2470-1173.2019.2.ervr-186

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Maturation of the mitogen responsiveness, and IL2 and IL6 production by neonatal swine leukocytes

Veterinary Immunology and Immunopathology (1997)

Joseph Schwager Jürgen P. Schulze

10.1016/s0165-2427(96)05765-0

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Citations (33)

Digital repository: preservation environment and policy implementation

International Journal on Digital Libraries (2012)

Bing Zhu Richard Marciano Reagan Moore Laurin Herr Jürgen P. Schulze

Digital Preservation

Extensibility

Digital rights management

10.1007/s00799-012-0082-3

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Citations (8)

Zur partiellen Reduktion von 1-substituierten 2, 4-Dinitrobenzenen

Zeitschrift für Chemie (1980)

Jürgen P. Schulze Hartmut Tanneberg H. Matschiner

Schulze method

Polish

10.1002/zfch.19800201205

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Citations (4)

Deutsche Heilpraktiker-Zeitschrift (2015)

Die Forschung Jürgen P. Schulze Keime Galten

10.1055/s-004-28352

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Probiotic Escherichia coli Nissle 1917 Versus Placebo for Treating Diarrhea of Greater Than 4 Days Duration in Infants and Toddlers

The Pediatric Infectious Disease Journal (2008)

J Henker Martin W. Laaß Б.М. Блохин Vitaliy G. Maydannik Yuriy Bolbot

Background: Administering probiotics can prevent or cure some forms of diarrhea. The efficacy of probiotic Escherichia coli Nissle 1917 (EcN) in infants and toddlers with diarrhea >4 days was tested by a double-blind trial. Methods: One hundred fifty-one children aged 1–47 months with nonspecific diarrhea were randomized to receive either EcN suspension (N = 75) or placebo (N = 76). Diarrhea had to meet the following definition: >3 watery or loose nonbloody stools in 24 hours of a diarrheal episode persisting for >4 consecutive days but ≤14 days. All children were well nourished or only moderately malnourished, mildly dehydrated, and received oral rehydration at study commencement. They were treated orally with 1–3 mL EcN suspension (1 mL contains 108 viable cells) or placebo daily for 21 days. Primary objective was to confirm a better response rate (reduction of daily stool frequency to ≤3 watery or loose stools over ≥4 days) with EcN. Results: The 7-day response was higher for the EcN group than placebo (EcN 78.7%, placebo 59.2%). Significant differences were observed on days 14 (EcN 93.3%, placebo 65.8%, P = 0.0017) and 21 (EcN 98.7%, placebo 71.1%, P < 0.001). Kaplan-Meier survival analysis resulted in a significant difference of 3.3 days between the groups (P < 0.0001); median time to response for EcN was 2.4 and 5.7 for placebo. EcN was safe and well tolerated. Conclusions: In the conditions of this trial EcN was a suitable remedy for diarrhea >4 days in young children.

Traveler's diarrhea

10.1097/inf.0b013e318169034c

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Citations (96)