1,019 research outputs found
sj-docx-1-bas-10.1177_00076503231158600 – Supplemental material for Public Health and Political Corporate Social Responsibility: Pharmaceutical Company Engagement in COVAX
No full textSupplemental material, sj-docx-1-bas-10.1177_00076503231158600 for Public Health and Political Corporate Social Responsibility: Pharmaceutical Company Engagement in COVAX by Markus Scholz, N. Craig Smith, Maria Riegler and Anna Burton in Business & Society</p
Mode-switching for resilient security
No full textAuthor Ing. Michael Riegler, BSc MScDissertation Johannes Kepler Universität Linz 2024Arbeit vorläufig gesperr
Mode-switching for resilient security
No full textAuthor Ing. Michael Riegler, BSc MScDissertation Johannes Kepler Universität Linz 2024Arbeit vorläufig gesperr
VISEM-Tracking
No full textPre-print and citation:
[Pre-print](https://arxiv.org/abs/2212.02842)
@article{thambawita2023visem,
title={VISEM-Tracking, a human spermatozoa tracking dataset},
author={Thambawita, Vajira and Hicks, Steven A and Stor{\aa}s, Andrea M and Nguyen, Thu and Andersen, Jorunn M and Witczak, Oliwia and Haugen, Trine B and Hammer, Hugo L and Halvorsen, P{\aa}l and Riegler, Michael A},
journal={Scientific Data},
volume={10},
number={1},
pages={1--8},
year={2023},
publisher={Nature Publishing Group}
}
Motivation and background
Manual evaluation of a sperm sample using a microscope is time-consuming and requires costly experts who have extensive training. In addition, the validity of manual sperm analysis becomes unreliable due to limited reproducibility and high inter-personnel variations due to the complexity of tracking, identifying, and counting sperms in fresh samples. The existing computer-aided sperm analyzer systems are not working well enough for application in a real clinical setting due to unreliability caused by the consistency of the semen sample. Therefore, we need to research new methods for automated sperm analysis.
Target group
The task is of interest to researchers in the areas of machine learning (classification and detection), visual content analysis, and multimodal fusion. Overall, this task is intended to encourage the multimedia community to help improve the health care system through the application of their knowledge and methods to reach the next level of computer and multimedia-assisted diagnosis, detection, and interpretation.
Class Label Mapping
sperm: 0
cluster: 1
small or pinhead:
Arthopods shopping for Wolbachia
No full textThis book chapter will add to extensive reviews about Wolbachia biology and ecology (O'Neill et al. 1997; Werren 1997; Stouthamer et al. 1999; Riegler and O'Neill 2006; Serbus et al. 2008; Werren et al. 2008) by incorporating recent progress in this fast-moving research field. We will discuss potential impacts of recent findings on future research directions in the comprehensive biology of these exhilarating symbionts, including some novel and unconventional thoughts
The MediaEval 2018 movie recommendation task: Recommending movies using content
No full textIn this paper we introduce the MediaEval 2018 task Recommending Movies Using Content. It focuses on predicting overall scores that users give to movies, i.e., average rating (representing overall appreciation of the movies by the viewers) and the rating variance/standard deviation (representing agreement/disagreement between users) using audio, visual and textual features derived from selected movie scenes. We release a dataset of movie clips consisting of 7K clips for 800 unique movies. In the paper, we present the challenge, the dataset and ground truth creation, the evaluation protocol and the requested runs. Copyright held by the owner/author(s)
Preparation and Characterisation of Binder-Free All-Cellulose Composites
No full textThe copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the authorA recent emerging concept of all-cellulose composites within the field of
environmentally friendly materials has received increasing attention. The main
advantage of these materials is the lack of using additional bonding agents such as
polymer resins as in the case of e.g. phenolic resin based panel products or natural
fibre reinforced plastics that increase their environmental impact. Two different
routes for the production of all-cellulose composites have been followed. The
obtained materials were characterised by scanning electron microscopy, X-ray
diffraction, flexure and tensile mechanical tests, thermogravimetric analysis,
pycnometry and water absorption tests.
The first strategy makes use of the selective dissolution method where the
cellulose fibre skins are partially dissolved to form a matrix phase that bonds the
fibres together, while the strong core fibres are maintained and impart a reinforcing
effect to the composites. The influence of the dissolution time, activation time and
the fibre source were assessed. It was found that a dissolution time of 18 h led to
materials with the best overall mechanical performance (5.5 GPa and 145 MPa for
Young’s modulus and tensile strength, respectively), as this time allowed for the
dissolution of a sufficient amount of fibre surface to obtain good interfacial bonding
between fibres, while keeping a considerable amount of remaining fibre cores that
provide a strong reinforcement to the composite, leading to materials that outperform
natural fibres reinforced polypropylene composites.
Still, the previous methodology has the drawback of using chemical
substances of high environmental impact (solvents). In order to overcome this, a new
concept in the production of all-cellulose composites is proposed in this work, which
makes use of the intrinsic bonding capability between cellulose fibres to enhance the
hydrogen bond network in order to produce materials of good mechanical
performance. A new experimental procedure was developed, based on the refinement
Abstract
5
of cellulose fibres in order to increase their specific surface area, thus increasing the
interfibre bonding capability, and achieving materials with excellent mechanical
properties, up to 17 GPa and 119 MPa for flexural modulus and strength,
respectively, and low water absorption. These new high-performing environmentally
friendly materials are based on renewable resources and are 100% recyclable and
biodegradable.Financial support from the Engineering and Physical Sciences Research
Council through a Technology Strategy Board project REFLECT no. MATH1E2R,
under the Design & Manufacture of Sustainable Products Call, is gratefully
acknowledged
Towards a definition of sustainable banking - a consolidated approach in the context of guidelines and strategies
No full textAbstract Sustainable development efforts, initiated by the SDGs and the Paris Agreement on climate change, are bringing banking to the center of the debate, which calls for, among other things, sustainable banking. In the current academic discussion, sustainable banking is described as a terminological jungle that is subject to change over time. Using Webster and Watson’s conceptual model, this review analyzes the definitions and conceptual descriptions used in academia to present a consolidated result. The definition analysis conducted in this paper shows that definitions used mostly refer to the implementation of social, environmental aspects in the respective business strategies and / or to the offering of sustainably labeled products. This paper also shows that the various forms of the definition have a purely descriptive character and that measurability and comparability are hardly possible due to the lack of a generally accepted sustainability index
Detektion eines Grünlandschwades mit Stereo-RGB Kamera
No full textRobustes Detektieren von Grünlandschwaden ist die Grundlage für die Automatisierung bei der Heu- und Silage-Ernte. Vor allem bei kleinem Schwadvolumen ist die Detektion basierend auf Daten von 3D-Sensoren fehleranfällig. Es wird eine neue Methode zur Segmentierung einer Schwad in einem RGB-Bild basierend auf einem Convolutional Neural Network (CNN) vorgestellt. Die Methode wird mit der Segmentierung von 3D-Tiefendaten einer Stereo-Kamera mittels Ebenen-Detektion verglichen. Zur Validierung beider Methoden wurden Aufnahmen bei der Silage- und bei der Heuernte manuell annotiert. Es kann gezeigt werden, dass die CNN-basierte Schwaderkennung bei kleinem Volumen eine höhere Genauigkeit erreicht
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