Refine
H-BRS Bibliography
- yes (4915) (remove)
Departments, institutes and facilities
- Fachbereich Wirtschaftswissenschaften (1241)
- Fachbereich Informatik (1148)
- Fachbereich Angewandte Naturwissenschaften (766)
- Fachbereich Ingenieurwissenschaften und Kommunikation (636)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (480)
- Präsidium (404)
- Fachbereich Sozialpolitik und Soziale Sicherung (402)
- Institute of Visual Computing (IVC) (313)
- Institut für funktionale Gen-Analytik (IFGA) (241)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (195)
Document Type
- Article (1603)
- Conference Object (1119)
- Part of a Book (689)
- Part of Periodical (410)
- Book (monograph, edited volume) (370)
- Report (145)
- Preprint (88)
- Working Paper (87)
- Contribution to a Periodical (83)
- Doctoral Thesis (70)
Year of publication
Keywords
- Lehrbuch (85)
- Deutschland (27)
- Nachhaltigkeit (27)
- Controlling (23)
- Unternehmen (23)
- Digitalisierung (17)
- Management (17)
- Betriebswirtschaftslehre (16)
- Machine Learning (16)
- Corporate Social Responsibility (15)
Graph databases employ graph structures such as nodes, attributes and edges to model and store relationships among data. To access this data, graph query languages (GQL) such as Cypher are typically used, which might be difficult to master for end-users. In the context of relational databases, sequence to SQL models, which translate natural language questions to SQL queries, have been proposed. While these Neural Machine Translation (NMT) models increase the accessibility of relational databases, NMT models for graph databases are not yet available mainly due to the lack of suitable parallel training data. In this short paper we sketch an architecture which enables the generation of synthetic training data for the graph query language Cypher.
In silico Epitope Mapping of Glucose-6-Phosphate Isomerase: A Rheumatoid Arthritis Autoantigen
(2017)
Rheumatoid arthritis-like symptoms can be initiated experimentally in naive K/BxN mice by simultaneously administering the two monoclonal antibodies 11H3 and 46H9. Both antibodies specifically recognize Glucose-6-Phosphate Isomerase (GPI), a known auto antigen in RA patients. Amino acid sequences of the Fv parts of the antibodies were determined by translating the respective hybridoma DNA sequences and served for threedimensional structure modeling of the paratope regions. In silico docking of both Fv antibody structure models to the X-ray structures of the homodimeric murine GPI as well as to the homodimeric human GPI predicted the murine epitope of the 11H3 antibodies to comprise partial amino acid sequences QRVRSGDWKGYTGKS (aa134-148) and AAKDPSAVAK (aa232-241), generating an assembled (conformational) epitope. The 11H3 epitope on human GPI encompasses the matching partial amino acid sequences QRVRSGDWKGYTGKT (aa134-148) and AAKDPSAVAK (aa232-241). The epitope of the 46H9 antibody was determined to consist of the partial murine GPI amino acid sequence RKELQAAGKSPEDLEK (aa446-461) and the human GPI amino acid sequence RKELQAAGKSPEDLER (aa446-461), respectively, resembling consecutive (linear) epitopes. The predicted epitopes were verified by mass spectrometric epitope mapping using synthetic epitope peptides. Peptide QRVRSGDWKGYTGKS[GSMSGS] AAKDPSAAK included a small spacer sequence in between the epitope sequences, mimicking the assembled epitope for the 11H3 antibody. The peptide RKELQAAGKSPEDLEK represented the consecutive epitope for the 46H9 antibody. The determined B-cell epitopes of GPI and their interactions with the monoclonal antibodies provide a detailed structural understanding of immunological disease onset mechanisms in a mouse model of rheumatoid arthritis.
Ob im Studium oder in der Praxis - bei der technischen Chemie kommt man schnell an seine Grenzen. Aber keine Sorge, "Technische Chemie für Dummies" hilft Ihnen, bei diesem komplexen Thema den Durchblick zu behalten. Nach einem allgemeinen Überblick über die Entwicklungen, Herausforderungen und Konzepte der technischen Chemie und einer verständlichen Übersicht über die nötige Mathematik lernen Sie, was man bei der praktischen und theoretischen Vorarbeit beachten muss, um die chemische Reaktion später in einem größeren Maßstab durchführen zu können. Anschließend erfahren Sie alles über Reaktionsmodellierung, Katalysatoren und chemische Reaktoren. Idealisierte Modelle helfen Ihnen dabei, aber auch die Umsetzung unter realen Bedingungen kommt nicht zu kurz. Der Verfahrenstechnik ist ein eigener Teil gewidmet, damit auch Trenntechnik, Strömungsmechanik, Fluidströmungen, Dimensionierung und Co. bald kein Problem mehr für Sie sind.
Chemie ist viel einfacher, als es häufig heißt. Dieses Buch soll dazu beitragen, ihr Interesse an diesem Fach zu wecken oder zu vertiefen. Alle grundlegenden Prinzipien der Chemie werden nachvollziehbar dargestellt. Querbezüge und Zusammenhänge zwischen den verschiedenen Fachgebieten werden gezeigt. Sie werden keine Formel finden, deren Herleitung Sie nicht nachvollziehen können. Am Ende fast jeden Kapitels gibt es Übungsaufgaben. Ausführliche Lösungen gibt es natürlich auch. Das sollte nicht nur für die Prüfungen der ersten Semester reichen, sondern Ihnen auch ein sicheres Fundament für Ihr weiteres Studium bieten.
Chemie kann im Studium ganz schön kompliziert sein, besonders wenn es etwas mehr in die Tiefe geht. Dass man aber auch komplizierte Dinge leicht verständlich und bisweilen amüsant erklären kann, beweist dieses Lehrbuch. Stefanie Ortanderl und Ulf Ritgen erklären die Grundlagen der Chemie und so erfahren Sie, was Sie über Atommodelle, Bindungstypen und das Periodensystem wissen sollten.
Der Einsatz von Remote-Laboren in ingenieurwissenschaftlichen Studiengängen ermöglicht Studierenden an einigen Hochschulen die ortsunabhängige Nutzung von Laboren, Maschinen und Robotern. Remote-Labore eignen sich in besonderer Weise dafür, den digitalisierungsbedingten Anforderungen und dem Qualifikationsbedarf aus Wirtschaft und Industrie zu begegnen. Die Onlinebedienung von Laboren bietet viele Ansatzpunkte für den Erwerb digitaler Kompetenzen, wie beispielsweise das Sammeln und Analysieren von Big Data, das Entwickeln geeigneter Schnittstellen für den Onlinezugriff oder den korrekten Einsatz zur Verfügung stehender softwarebasierter Messtechnik. Auch während der Coronapandemie im Sommersemester 2020, als der reguläre Zugang zu Laboren aufgrund der Kontaktbeschränkungen nicht erlaubt war, ermöglichten Remote-Labore den Studierenden praktische Erfahrungen. Jedoch stellen nicht nur die didaktischen, sondern auch die technischen und organisatorischen Aspekte ingenieurwissenschaftliche Studiengänge bei der Umsetzung von Remote-Laboren vor anspruchsvolle Aufgaben. Der nachfolgende Beitrag greift diese Aspekte auf und beschreibt anhand ausgewählter Beispiele, wie die Umsetzung und Integration von Remote-Laboren in Studium und Lehre gelingen kann, aber auch welche Herausforderungen nach wie vor bestehen.
It is a euphemism to say that humans use tools. Humans possess a vast repertoire of tools they use every day. In fact, as language or bipedal locomotion, tool use is a hallmark of humans. Tool use has also been often viewed as an important step during evolution (van Schaik et al., 1999) or even as a marker of the evolution of human intelligence (Wynn, 1985). So a fundamental issue is, what are the cognitive and neural bases of human tool use? The present series of papers in this special topic represents the newest additions to that research topic.
Logistikmarkt Russland
(2011)
Russland ist eine der bedeutenden und aufstrebenden Wirtschaftsregionen, für die sich im Besonderen logistische Herausforderungen stellen. Die vorliegende Arbeit analysiert und beschreibt den "Logistikmarkt Russland", der sich für europäische und insbesondere deutsche Logistikdienstleister sowohl wegen seiner Größe und Nähe zur EU als auch aufgrund des enormen Wachstumspotentials als sehr attraktiv darstellt. Zielsetzung dieser Abhandlung ist das Aufzeigen relevanter Trends und Entwicklungstendenzen, sowohl um Logistikdienstleistern bei der Beurteilung des strategischen Marktpotentials Russlands Hilfestellungen zu geben, als auch um wirtschaftliche Chancen und Risiken auf diesem Markt zu betrachten.
This study intends to contribute to the discourse on social protection and crime. The study assessed social protection as a tool for crime prevention, with bias to Owerri municipal local government area of Imo state, Nigeria as a case study. The study employed a qualitative approach which allowed the researcher to explore experiences and perspectives of selected participants. Purposive sampling was considered appropriate for the defined population. In-depth interview and focus group discussion (FGD) served as data collection instruments. A review of available literature, reports, newspaper publications, reports, and various internet sources were exhaustively utilised to gather secondary data.
The study revealed that social protection possesses the potential to prevent crime. The study informed that certain intervention programmes established by the government helped in decreasing crime incidences in the area under study. In addition, the study revealed that social protection enhances wellbeing, empowers people, promotes better living conditions, imbues a sense of belonging and inclusiveness, promotes social stability and does not lead to dependency. However, the study revealed that social protection alone is incapable of eradicating crime.
Beta-ketothiolase deficiency, also known as mitochondrial acetoacetyl-CoA thiolase (T2) deficiency, is an autosomal recessive disease caused by mutations in the acetylCoA acetyltransferase 1 (ACAT1) gene. A German T2deficient patient that developed a severe ketoacidotic episode at the age of 11 months, was revealed to be a compound heterozygote of a previously reported null mutation, c.472A>G (p.N158D) and a novel mutation, c.949G>A (p.D317N), in ACAT1. The c.949G>A mutation was suspected to cause aberrant splicing as it is located within an exonic splicing enhancer sequence (c. 947CTGACGC) that is a potential binding site for serine/argininerich splicing factor 1. A mutation in this sequence, c.951C>T, results in exon 10 skipping. A minigene construct was synthesized that included exon 9truncated intron 9exon 10truncated intron 10exon 11, and the splicing of this minigene revealed that the c.949G>A mutant construct caused exon 10 skipping in a proportion of the transcripts. Furthermore, additional substitution of G for C at the first nucleotide of exon 10 (c.941G>C) abolished the effect of the c.949G>A mutation. Transient expression analysis of the c.949G>A mutant cDNA revealed no residual T2 activity in the mutated D317N enzyme. Therefore, c.949G>A (D317N) is a pathogenic missense mutation, and diminishes the effect of an exonic splicing enhancer and causes exon 10 skipping. The present study demonstrates that a missense mutation, or even a synonymous substitution, may disrupt enzyme function by interference with splicing.
Small Molecules Enhance Scaffold-Based Bone Grafts via Purinergic Receptor Signaling in Stem Cells
(2018)
The need for bone grafts is high, due to age-related diseases, such as tumor resections, but also accidents, risky sports, and military conflicts. The gold standard for bone grafting is the use of autografts from the iliac crest, but the limited amount of accessible material demands new sources of bone replacement. The use of mesenchymal stem cells or their descendant cells, namely osteoblast, the bone-building cells and endothelial cells for angiogenesis, combined with artificial scaffolds, is a new approach. Mesenchymal stem cells (MSCs) can be obtained from the patient themselves, or from donors, as they barely cause an immune response in the recipient. However, MSCs never fully differentiate in vitro which might lead to unwanted effects in vivo. Interestingly, purinergic receptors can positively influence the differentiation of both osteoblasts and endothelial cells, using specific artificial ligands. An overview is given on purinergic receptor signaling in the most-needed cell types involved in bone metabolism-namely osteoblasts, osteoclasts, and endothelial cells. Furthermore, different types of scaffolds and their production methods will be elucidated. Finally, recent patents on scaffold materials, as wells as purinergic receptor-influencing molecules which might impact bone grafting, are discussed.
This work aims to create a natural language generation (NLG) base for further development of systems for automatic examination questions generation and automatic summarization in Hochschule Bonn-Rhein-Sieg and Fraunhofer IAIS, respectively. Nowadays both tasks are very relevant. The first can significantly simplify the university teachers' work and the second to be of assistance for a faster retrieval of knowledge from an excessively large amount of information that people often work with. We focus on the search for an efficient and robust approach to the controlled NLG problem. Therefore, though the initial idea of the project was the usage of the generative adversarial neural networks (GANs), we switched our attention to more robust and easily-controllable autoencoders. Thus, in this work we implement an autoencoder for unsupervised discovery of latent space representations of text, and show the ability of the system to generate new sentences based on this latent space. Apart from that, we apply Gaussian mixture techniques in order to obtain meaningful text clusters and thereby try to create a tool that would allow us to generate sentences relevant to the semantics of the Gaussian clusters, e.g. positive or negative reviews or examination questions on certain topic. The developed system is tested on several datasets and compared to GANs' performance.
Die Optimierung von Produktionsprozessen steht im Vordergrund jedes Produzenten, vor allem im Hinblick auf den optimalen Erntezeitpunkt. Zur Pflückreife sollen Kirschen als nicht-klimakterische Früchte eine optimale und hochwertige Fruchtqualität aufweisen, eine ausreichende Anzahl an Erntehelfern, Pflückhilfen, Transportkisten, Sortier- und Lagereinrichtungen sowie Absatzwege vorhanden sein. Aus diesem Grund entwickelten Wissenschaftler in der Vergangenheit diverse Reifeindices und Erntemodelle zur Bestimmung des optimalen Erntezeitpunkts von Früchten, erst an Äpfeln, dann für Steinobst.
Non-Destructive Sensor-Based Prediction of Maturity and Optimum Harvest Date of Sweet Cherry Fruit
(2017)
(1) Background: The aim of the study was to use innovative sensor technology for non-destructive determination and prediction of optimum harvest date (OHD), using sweet cherry as a model fruit, based on different ripening parameters. (2) Methods: Two cherry varieties in two growing systems viz. field and polytunnel in two years were employed. The fruit quality parameters such as fruit weight and size proved unsuitable to detect OHD alone due to their dependence on crop load, climatic conditions, cultural practices, and season. Coloration during cherry ripening was characterized by a complete decline of green chlorophyll and saturation of the red anthocyanins, and was measured with a portable sensor viz. spectrometer 3-4 weeks before expected harvest until 2 weeks after harvest. (3) Results: Expressed as green NDVI (normalized differential vegetation index) and red NAI (normalized anthocyanin index) values, NAI increased from -0.5 (unripe) to +0.7 to +0.8 in mature fruit and remained at this saturation level with overripe fruits, irrespective of variety, treatment, and year. A model was developed to predict the OHD, which coincided with when NDVI reached and exceeded zero and the first derivative of NAI asymptotically approached zero. (4) Conclusion: The use of this sensor technology appears suitable for several cherry varieties and growing systems to predict the optimum harvest date.