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  • University Bibliography  (2,352)
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Peer-reviewed
  • 1
    Book
    Book
    Integration of Memristive Devices into a 130 nm CMOS Baseline Technology (2024)
    Cham : Springer International Publishing
    Details
    Person(s): Mahadevaiah, Mamathamba Kalishettyhalli ; Lisker, Marco ; Fraschke, Mirko ; Marschmeyer, Steffen ; Perez, Eduardo ; Quesada, Emilio Perez-Bosch ; Wenger, Christian ; Mai, Andreas
    Keywords: CMOS compatibility ; CMOS integration ; Memristive devices ; Pristine current ; Resistive switching ; Thermal budget ; Encapsulation
    Abstract: The two main features of the memristive devices which makes them the promising candidates for neuromorphic applications are low power consumption and CMOS compatibility. The monolithic integration of memristive devices with CMOS circuitry paves the way for in-memory computing. This chapter focuses on the factors governing the CMOS integration process. Firstly, the influence of CMOS baseline technology selection on the memristor module is briefly discussed. Secondly, the selection of metal level interconnects and their effect on the memristive device performance is explained. Further, the widely used deposition technique for the CMOS compatible memristive switching layers is presented. Finally, the implementation of the optimized process for the fabrication of the memristive module and its influence on the device performance is presented in terms of electrical characterization results.
    Type of Medium: Book
    Publication type: Anthology article
    Access type: Open Access
    Peer-reviewed: no
    URL: Datenquelle
    DOI: 10.1007/978-3-031-36705-2_7
    Language: English
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  • 2
    Book
    Book
    Modeling and Computer Simulation of Nanocomplexation for Cancer Therapy (2024)
    Cham : Springer International Publishing
    Details
    Person(s): Romanova, Tatiana ; Grebinyk, Anna ; Pankratov, Alexander ; Stoyan, Yuri ; Nechyporenko, Alina ; Prylutskyy, Yuriy ; Grebennik, Igor ; Frohme, Marcus
    Keywords: Geometric design ; Packing ; Phi-function technique ; Doxorubicin ; Nanocomplex
    Abstract: Smart systems and data-driven services have the potential to answer medical needs in nanomedicine to get faster to the clinic and manufacturing stage. As an example from galenics, we explored the molecular packing within nanoparticles composed of fullerene C60 (C60) and the anthracycline antibiotic doxorubicin (Dox); the nanoparticle was previously proven to be a promising candidate for photodynamic and chemotherapeutic treatment of cancer. The Dox-C60 hybrid was evaluated to be around 135 nm and forms an aqueous monodisperse colloid solution. We consider a non-standard packing problem for the geometric design of the Dox-C60 nanocomplex. Each placement object was a disconnected set with a core sphere and two identical spherical components that were allowed moving only along the core sphere orbit at the given distance. Allowable distances between each pair of components, as well as between objects, were given. All disconnected objects could be freely moving within the given volume (cuboid). The packing problem was aimed to maximize the number of disconnected objects that could be fully arranged inside the given volume, considering distance constraints. The problem was formulated as MIP (mixed integer problem). A solution strategy was proposed that combines multistart strategy, nonlinear optimization, and decomposition algorithm. Computational results for 2D and 3D objects were provided.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1007/978-3-031-34750-4_15
    Language: English
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  • 3
    Online Resource
    Online Resource
    A novel strategy for high-throughput sample collection, analysis and visualization of explosives’ concentrations for contaminated areas (2023)
    Berlin ; Heidelberg : Springer
    Details
    Person(s): Kober, Liane ; Schaefer, Paul ; Hollert, Henner ; Frohme, Marcus
    Keywords: Explosives ; Heatmap ; MALDI-TOF MS ; Risk analysis ; Smartphone ; Trinitrotoluene
    Abstract: The use of explosives has led to a widespread distribution of 2,4,6-trinitrotoluene (TNT) and its by- and degradation products in the soil on former production and testing sites. The investigation of those large contaminated sites is so far based on a few selected soil samples, due to high costs of conventional HPLC and GC analysis, although huge differences in concentrations can already be found in small areas and different collection depths. We introduce a novel high-throughput screening system for those areas, which combines a smartphone-based collection of GPS data and soil characteristics with a fast MALDI-TOF MS quantification of explosives in soil sample extracts and finally a heatmap visualization of the explosives’ spread in soil and an analysis of correlation between concentrations and soil characteristics. The analysis of a 400 m2 area presented an extensive contamination with TNT and lower concentrations of the degradation and by-products aminodinitrotoluenes (ADNT) and dinitrotoluenes (DNT) next to a former production facility for TNT. The contamination decreased in deeper soil levels and depended on the soil type. Pure humus samples showed significantly lower contaminations compared to sand and humus/sand mixtures, which is likely to be caused by an increased binding potential of the humic material. No correlation was found between the vegetation and the concentration of explosives. Since the results were obtained and visualized within several hours, the MALDI-TOF MS based comprehensive screening and heatmap analysis might be valuable for a fast and high-throughput characterization of contaminated areas.
    Type of Medium: Online Resource
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1007/s13762-022-04088-w
    Language: English
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  • 4
    Book
    Book
    A survey on sustainability approaches in manufacturing (2023)
    Amsterdam : Elsevier
    Details
    Person(s): Prell, Bastian ; Reinhardt, Heiner ; Mauersberger, Anton ; Rauscher, Alexander ; Reiff-Stephan, Jörg ; Ihlenfeldt, Steffen
    Keywords: Eco-design methodology ; Economics ; Environment(al) ; Innovation management ; Manufacturing ; Production ; Sustainable development
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1016/j.procir.2023.02.018
    Language: English
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  • 5
    Book
    Book
    Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition (2023)
    Basel : MDPI
    Details
    Person(s): Pfeil, Juliane ; Siptroth, Julienne ; Pospisil, Heike ; Frohme, Marcus ; Hufert, Frank T. ; Moskalenko, Olga ; Yateem, Murad ; Nechyporenko, Alina
    Keywords: human intestinal microbiome ; next-generation sequencing ; type 2 diabetes ; deep learning ; image classification
    Abstract: Microbiomic analysis of human gut samples is a beneficial tool to examine the general well-being and various health conditions. The balance of the intestinal flora is important to prevent chronic gut infections and adiposity, as well as pathological alterations connected to various diseases. The evaluation of microbiome data based on next-generation sequencing (NGS) is complex and their interpretation is often challenging and can be ambiguous. Therefore, we developed an innovative approach for the examination and classification of microbiomic data into healthy and diseased by visualizing the data as a radial heatmap in order to apply deep learning (DL) image classification. The differentiation between 674 healthy and 272 type 2 diabetes mellitus (T2D) samples was chosen as a proof of concept. The residual network with 50 layers (ResNet-50) image classification model was trained and optimized, providing discrimination with 96% accuracy. Samples from healthy persons were detected with a specificity of 97% and those from T2D individuals with a sensitivity of 92%. Image classification using DL of NGS microbiome data enables precise discrimination between healthy and diabetic individuals. In the future, this tool could enable classification of different diseases and imbalances of the gut microbiome and their causative genera.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.3390/bdcc7010051
    Language: English
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  • 6
    Book
    Book
    Closing the green gap of photosystem I with synthetic fluorophores for enhanced photocurrent generation in photobiocathodes (2023)
    Cambridge : Royal Society of Chemistry (RSC)
    Details
    Person(s): Morlock, Sascha ; Subramanian, Senthil K. ; Zouni, Athina ; Lisdat, Fred
    Abstract: One restriction for biohybrid photovoltaics is the limited conversion of green light by most natural photoactive components. The present study aims to fill the green gap of photosystem I (PSI) with covalently linked fluorophores, ATTO 590 and ATTO 532. Photobiocathodes are prepared by combining a 20 μm thick 3D indium tin oxide (ITO) structure with these constructs to enhance the photocurrent density compared to setups based on native PSI. To this end, two electron transfer mechanisms, with and without a mediator, are studied to evaluate differences in the behavior of the constructs. Wavelength-dependent measurements confirm the influence of the additional fluorophores on the photocurrent. The performance is significantly increased for all modifications compared to native PSI when cytochrome c is present as a redox-mediator. The photocurrent almost doubles from −32.5 to up to −60.9 μA cm−2. For mediator-less photobiocathodes, interestingly, drastic differences appear between the constructs made with various dyes. While the turnover frequency (TOF) is doubled to 10 e−/PSI/s for PSI-ATTO590 on the 3D ITO compared to the reference specimen, the photocurrents are slightly smaller since the PSI-ATTO590 coverage is low. In contrast, the PSI-ATTO532 construct performs exceptionally well. The TOF increases to 31 e−/PSI/s, and a photocurrent of −47.0 μA cm−2 is obtained. This current is a factor of 6 better than the reference made with native PSI in direct electron transfer mode and sets a new record for mediator-free photobioelectrodes combining 3D electrode structures and light-converting biocomponents.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1039/D2SC05324A
    Language: English
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  • 7
    Book
    Book
    Collaborative Distribution Solutions in Last Mile Logistics (2023)
    Cham : Springer International Publishing
    Details
    Person(s): Bürklen, Anna ; Schüte, Nicolas ; Rudolph, Christian
    Keywords: Last mile logistics ; Collaborative distribution solutions ; Last mile deliveries ; Urban logistics ; Collaborative approaches ; Collaborative arrangements
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Metadata only Access
    Peer-reviewed: no
    URL: Datenquelle
    DOI: 10.1007/978-3-031-23721-8_113
    Language: English
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  • 8
    Book
    Book
    Formal Group Fairness and Accuracy in Automated Decision Making (2023)
    Basel : MDPI
    Details
    Person(s): Langenberg, Anna ; Ma, Shih-Chi ; Ermakova, Tatiana ; Fabian, Benjamin
    Keywords: AI ; machine learning ; automated decision making ; algorithmic bias ; metrics ; group fairness
    Abstract: Most research on fairness in Machine Learning assumes the relationship between fairness and accuracy to be a trade-off, with an increase in fairness leading to an unavoidable loss of accuracy. In this study, several approaches for fair Machine Learning are studied to experimentally analyze the relationship between accuracy and group fairness. The results indicated that group fairness and accuracy may even benefit each other, which emphasizes the importance of selecting appropriate measures for performance evaluation. This work provides a foundation for further studies on the adequate objectives of Machine Learning in the context of fair automated decision making.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.3390/math11081771
    Language: English
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  • 9
    Book
    Book
    Individualisierbare, webbasierte Benutzerschnittstelle zur Überwachung von Industrieprozessen (2023)
    Leipzig : Hochschule für Technik, Wirtschaft und Kultur
    Details
    Person(s): Anlauf, Fenja ; Stolpmann, Alexander
    Keywords: Kooperationen zwischen Hochschule und Industrie ; Ressourceneffizenz ; Intelligente Systeme ; Informationstechnik in der Automatisierung ; HMI
    Abstract: Im Rahmen eines Projektes zur Applikation der Präskriptiven Analytik für die dynamische Prozessführung von intelligenten Kälteanlagen wurde eine webbasierte Software mit einer anwenderfreundlichen und individualisierbaren Benutzerschnittstelle zur Überwachung und Regelung umgesetzt. Als Teilprojekt wurde ein Softwarepaket entwickelt, welches eine konfigurierbare Anlagenvisualisierung für diese Benutzerschnittstelle umsetzt. Beim Entwurf und der Implementierung der Software wurde auf einen modularen Aufbau geachtet, sodass die Software leicht erweiterbar und aus auswechselbaren, unabhängigen Komponenten zusammengesetzt ist.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.33968/2023.34
    Language: German
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  • 10
    Book
    Book
    Integrating Line Planning for Construction Sites into Periodic Timetabling via Track Choice (2023)
    Dagstuhl : Schloss Dagstuhl, Leibniz-Zentrum für Informatik
    Details
    Person(s): Masing, Berenike ; Lindner, Niels ; Liebchen, Christian
    Keywords: Periodic Timetabling ; Line Planning ; Track Choice ; Mixed-Integer Programming ; Construction Sites ; Railway Rescheduling
    Abstract: We consider maintenance sites for urban rail systems, where unavailable tracks typically require changes to the regular timetable, and often even to the line plan. In this paper, we present an integrated mixed-integer linear optimization model to compute an optimal line plan that makes best use of the available tracks, together with a periodic timetable, including its detailed routing on the tracks within the stations. The key component is a flexible, turn-sensitive event-activity network that allows to integrate line planning and train routing using a track choice extension of the Periodic Event Scheduling Problem (PESP). Major goals are to maintain as much of the regular service as possible, and to keep the necessary changes rather local. Moreover, we present computational results on real construction site scenarios on the S-Bahn Berlin network. We demonstrate that this integrated problem is indeed solvable on practically relevant instances.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: https://doi.org/10.4230/OASIcs.ATMOS.2023.5
    URL: Datenquelle
    DOI: 10.4230/OASIcs.ATMOS.2023.5
    Language: English
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  • 11
    Book
    Book
    Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation (2023)
    Basel : MDPI
    Details
    Person(s): Alekseeva, Victoria ; Nechyporenko, Alina ; Frohme, Marcus ; Gargin, Vitaliy ; Meniailov, Ievgen ; Chumachenko, Dmytro
    Keywords: CT data ; deep learning ; image segmentation ; U-Net ; decision support system ; chronic odontogenic rhinosinusitis ; machine learning ; artificial intelligence
    Abstract: The share of chronic odontogenic rhinosinusitis is 40% among all chronic rhinosinusitis. Using automated information systems for differential diagnosis will improve the efficiency of decision-making by doctors in diagnosing chronic odontogenic rhinosinusitis. Therefore, this study aimed to develop an intelligent decision support system for the differential diagnosis of chronic odontogenic rhinosinusitis based on computer vision methods. A dataset was collected and processed, including 162 MSCT images. A deep learning model for image segmentation was developed. A 23 convolutional layer U-Net network architecture has been used for the segmentation of multi-spiral computed tomography (MSCT) data with odontogenic maxillary sinusitis. The proposed model is implemented in such a way that each pair of repeated 3 × 3 convolutions layers is followed by an Exponential Linear Unit instead of a Rectified Linear Unit as an activation function. The model showed an accuracy of 90.09%. To develop a decision support system, an intelligent chatbot allows the user to conduct an automated patient survey and collect patient examination data from several doctors of various profiles. The intelligent information system proposed in this study made it possible to combine an image processing model with a patient interview and examination data, improving physician decision-making efficiency in the differential diagnosis of Chronic Odontogenic Rhinosinusitis. The proposed solution is the first comprehensive solution in this area.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.3390/electronics12051202
    Language: English
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  • 12
    Book
    Book
    Little Big Data: Karelian Twitter Corpus (2023)
    Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
    Details
    Person(s): Moshnikov, Ilia ; Rykova, Eugenia
    Keywords: Karelian ; minority language recognition ; Twitter
    Abstract: This paper investigates Karelian language visibility on Twitter and describes the first corresponding data collection using language-related keywords and hashtags. In total, 2626 entries written fully or partially in Livvi, South and Viena Karelian were scraped with Postman API. The visibility of Karelian on Twitter has been considerably increasing in the past few years, Livvi-Karelian being the most prominent dialect. The data were analysed linguistically (manually and with language detection software) and thematically. Although language-related topics are the most popular, there is a substantial number of entries in eight further topics. Applicability of the collected data for linguistic and sociological research, and further data collection considerations are discussed.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.14618/1z5k-pb25
    Language: English
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  • 13
    Book
    Book
    Machbarkeitsstudie zur Einführung einer kameragestützten Brandfrüherkennung an einer Coilbox eines Warmwalzwerkes (2023)
    Leipzig : Hochschule für Technik, Wirtschaft und Kultur
    Details
    Person(s): Foerster, Tim ; Stolpmann, Alexander
    Keywords: Brandfrüherkennung ; Bildverarbeitung ; Kamerasysteme ; Infrarottechnik ; Warmwalzwerk
    Abstract: Zur Lösung des Problems der Einführung einer Brandfrüherkennung an einer Anlage mit erheblichen Flächen an Wärmestrahlung und Temperaturen um 1.100 Grad Celsius, wird der Einsatz von infraroter und visueller Kameratechnik und Bildverarbeitungssystemen in einer Machbarkeitsstudie erörtert und als Vorlage zur Umsetzung gebracht. Hierfür müssen alle technischen Randbedingungen der baulichen Anlage, die Kosten und auch die organisatorischen Aspekte ermittelt und bewertet werden. Auf Basis von Störfallszenarien wurden Brandversuche durchgeführt und in thermographischer und visueller Bildgebung ausgewertet. Entscheidend war die signifikante Abgrenzung eines Feuers vom anlagenspezifischen ungestörten Zustand.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.33968/2023.09
    Language: German
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  • 14
    Book
    Book
    Long-lasting XUV activation of helium nanodroplets for avalanche ionization (2023)
    Bristol : Institute of Physics Publishing (IOP)
    Details
    Person(s): Medina, C. ; Lægdsmand, A. Ø. ; Ben Ltaief, L. ; Hoque, Z. ; Roos, A. H. ; Jurkovič, M. ; Hort, O. ; Finke, O. ; Albrecht, M. ; Nejdl, J. ; Stienkemeier, F. ; Andreasson, J. ; Klimešová, E. ; Krikunova, M. ; Heidenreich, A. ; Mudrich, M.
    Abstract: We study the dynamics of avalanche ionization of pure helium nanodroplets activated by a weak extreme-ultraviolet (XUV) pulse and driven by an intense near-infrared (NIR) pulse. In addition to a transient enhancement of ignition of a nanoplasma at short delay times ~200 fs, long-term activation of the nanodroplets lasting up to a few nanoseconds is observed. Molecular dynamics simulations suggest that the short-term activation is caused by the injection of seed electrons into the droplets by XUV photoemission. Long-term activation appears due to electrons remaining loosely bound to photoions which form stable `snowball' structures in the droplets. Thus, we show that XUV irradiation can induce long-lasting changes of the strong-field optical properties of nanoparticles, potentially opening new routes to controlling avalanche-ionization phenomena in nanostructures and condensed-phase systems.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1088/1367-2630/acd5f6
    Language: English
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  • 15
    Book
    Book
    Usable Privacy and Security in Online Public Services (2023)
    Cham : Springer International Publishing
    Details
    Person(s): Ruiz Ben, Esther ; Scholl, Margit
    Keywords: Online Public Services ; Privacy and Security ; Usability ; user ; E-Government ; usability criteria ; examples and exercises ; EU Single Digital Gateway regulation ; needs of the public
    Abstract: This practice-oriented book is a unique guide to the implementation of usable, privacy compliant and secure online services in the area of e-government. Beginning with a clarification of basic concepts of usability, data privacy, and cybersecurity, the book provides lucid explanations of different methods (quantitative, qualitative, and mixed methods) that can be applied in the practice of designing, developing, and evaluating online public services in light of both usability criteria and data privacy and IT security compliance. A number of examples and exercises are included as well as awarenessraising measures that can serve as orientation both for practitioners and for teaching purposes. There is also a concise glossary of terms along with recommendations for further reading. This book provides comprehensive coverage of usability, data privacy and information security topics. At the time of going to press, it is also up to date with respect to the implementation of the EU Single Digital Gateway regulation. It is therefore aimed at anyone interested in understanding the principles of usable privacy and information security and in ways of contributing to the design, development, and evaluation of online public services that satisfy the needs of the public. The book’s audience thus includes not only students in the areas of e-government or public administration but also professionals developing online services or e-government applications.
    Type of Medium: Book
    Publication type: Monograph
    Access type: Metadata only Access
    Peer-reviewed: yes
    ISBN: 978-3-031-43382-5
    URL: Datenquelle
    Language: English
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  • 16
    Book
    Book
    UV LED Curable Perfluoropolyether (PFPE)-Urethane Methacrylate Transparent Coatings for Photonic Applications: Synthesis and Characterization (2023)
    Basel : MDPI
    Details
    Person(s): Dreyer, Christian ; Motoc, Dana Luca ; Koehler, Mathias ; Goldenberg, Leonid
    Keywords: perfluoropolyether (PFPE) ; fluoroacrylates ; viscoelastic properties ; refractive index ; thermo-optic coefficient ; optical loss ; dielectric properties ; UV LED curable coating
    Abstract: The contribution aims to bring forth a novel synthesis route in developing transparent UV LED-curable coatings accounting for various exposure options. A selection of perfluoropolyether (PFPE)-urethane methacrylate and acrylate resins, free-radical photo-initiator Omnirad 2100, and two distinct silane-based crosslinking agents were blended under a weight ratio of 75:20:5 (without crosslinker) and 70:15:5:10, respectively. The coatings were cured under a UV LED 4 × 3 matrix light emitting source, in a chamber under a controlled atmosphere, by means of an in-house developed conveyor belt type platform, at different conveyor belt speeds (5, 50, 150, 250, and 500 mm/s). The morphologies of fabricated coatings were characterized by FTIR revealing high conversion rates (e.g., from 98 to 100%) for increased exposure time as a result of the 5 or 50 mm/s values, on all combinations. Dynamic–mechanical and optical properties of UV LED-cured transparent coatings were also investigated. A negative shift of the glass transition temperature values with a decrease in exposure time, in all combinations, from about 60 °C to 30 °C, along with storage moduli lowering in the glassy plateau further favors higher exposure times for curing. The refractive indices of poly-mers were from 1.38 to 1.40, whereas the thermo-optic coefficients are showing minor changes around the value of 2.55∙10−4 K−1.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.3390/polym15142983
    Language: English
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  • 17
    Online Resource
    Online Resource
    Variation of butyrate production in the gut microbiome in type 2 diabetes patients (2023)
    Berlin ; Heidelberg : Springer
    Details
    Person(s): Siptroth, Julienne ; Moskalenko, Olga ; Krumbiegel, Carsten ; Ackermann, Jörg ; Koch, Ina ; Pospisil, Heike
    Keywords: Type 2 diabetes ; Gut ; Butyrate ; NGS ; Statistical analysis
    Abstract: Background Diabetes mellitus type 2 is a common disease that poses a challenge to the healthcare system. The disease is very often diagnosed late. A better understanding of the relationship between the gut microbiome and type 2 diabetes can support early detection and form an approach for therapies. Microbiome analysis offers a potential opportunity to find markers for this disease. Next-generation sequencing methods can be used to identify the bacteria present in the stool sample and to generate a microbiome profile through an analysis pipeline. Statistical analysis, e.g., using Student’s t-test, allows the identification of significant differences. The investigations are not only focused on single bacteria, but on the determination of a comprehensive profile. Also, the consideration of the functional microbiome is included in the analyses. The dataset is not from a clinical survey, but very extensive. Results By examining 946 microbiome profiles of diabetes mellitus type 2 sufferers (272) and healthy control persons (674), a large number of significant genera (25) are revealed. It is possible to identify a large profile for type 2 diabetes disease. Furthermore, it is shown that the diversity of bacteria per taxonomic level in the group of persons with diabetes mellitus type 2 is significantly reduced compared to a healthy control group. In addition, six pathways are determined to be significant for type 2 diabetes describing the fermentation to butyrate. These parameters tend to have high potential for disease detection. Conclusions With this investigation of the gut microbiome of persons with diabetes type 2 disease, we present significant bacteria and pathways characteristic of this disease.
    Type of Medium: Online Resource
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1007/s10123-023-00324-6
    Language: English
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  • 18
    Book
    Book
    Traffic Data Evaluation for Automated Driving Handover Scenarios (2023)
    Setúbal : SciTePress
    Details
    Person(s): Rykova, Eugenia ; Golanov, Juri ; Vogt, Jonas ; Rau, Daniel ; Wieker, Horst
    Keywords: Connected ; Automated Driving ; Traffic Data Evaluation ; Automated Driving Handover
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1739
    URL: Datenquelle
    DOI: 10.5220/0011599900003479
    Language: English
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  • 19
    Book
    Book
    Using ChatGPT in Education: Human Reflection on ChatGPT’s Self-Reflection (2023)
    Basel : MDPI
    Details
    Person(s): Loos, Eugène ; Gröpler, Johanna ; Goudeau, Marie-Louise Sophie
    Keywords: ChatGPT ; AI ; text generating ; education ; SWOT analysis ; self-reflection ; hallucinations
    Abstract: ChatGPT is a fascinating AI text generator tool. It is a language model developed by OpenAI, a research and deployment company with the mission, according to OpenAI’s website: “to ensure that artificial general intelligence benefits all of humanity”. ChatGPT is able to generate human-like texts. But how does it work? What about the quality of the texts it provides? And is it capable of being self-reflective? Information sources must be efficient, effective and reliable in education, in order to enhance students’ learning process. For this reason, we started a dialogue with ChatGPT-3 while using, among others, a SWOT analysis it generated about its own functioning in an educational setting. This enabled us, as human authors, to analyze the extent to which this AI system is able to practice self-reflection. Finally, the paper sketches implications for education and future research.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.3390/soc13080196
    Language: English
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  • 20
    Book
    Book
    Zur Integration von OpenStreetMap in LogisticsLab für Lehrveranstaltungen zu logistischen Entscheidungen (2023)
    Wildau : Technische Hochschule Wildau
    Details
    Person(s): Steglich, Mike
    Keywords: OpenStreetMap ; Logistische Entscheidungsfindung ; Visualisierung von Problemen und Lösungen ; automatisierte Erfassung von Netzwerkdaten
    Abstract: Logistische Entscheidungsprobleme sind Bestandteil vieler Lehrveranstaltungen in den Bereichen Logistik, Management und Operations-Research. Es ist sinnvoll, diese Entscheidungsprobleme anhand von Fallstudien zu veranschaulichen, die von Studierenden mit geeigneter Software reproduziert und eigenständig gelöst werden können. Derartige Softwaresysteme müssen den größten Teil der in solchen Lehrveranstaltungen diskutierten Probleme abbilden und eine interaktive und intuitive Vorgehensweise bei der Problemlösung ermöglichen. Eine weitere wichtige Anforderung an solche Systeme besteht darin, die Studierenden bei der zeitaufwendigen Erfassung von Daten, wie z.B. der Koordinaten der Knoten eines logistischen Netzwerks sowie der Distanzen bzw. Fahrtzeiten, zu unterstützen. Weiterhin sollten logistische Entscheidungsunterstützungssysteme eine interaktive Darstellung des Problems und der zugehörigen Lösung in einer Karte ermöglichen. Diese Aspekte können durch die Integration von webbasierten Geoinformationssystemen, wie z.B. Google Maps oder OpenStreetMap, realisiert werden. Es ist allerdings festzustellen, dass die Mehrzahl der aus inhaltlicher Sicht für Lehrveranstaltungen verwendbaren Softwaresysteme keine Geoinformationssysteme integriert hat. Diese fehlenden Funktionalitäten führten zur Motivation, die akademische Logistiksoftware LogisticsLab um OpenStreetMap-Funktionalitäten zu erweitern. Der vorliegende Beitrag stellt diese Integration und die dadurch verbesserten Möglichkeiten der Behandlung realistischer logistischer Entscheidungsprobleme in Lehrveranstaltungen vor. Mit der damit einhergehenden stärkeren Fokussierung auf das Verständnis und die Interpretation der Lösung des behandelten Problems kann auf interaktive und intuitive Weise ein besseres Verständnis für logistische Entscheidungen erlangt werden.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.15771/1794
    Language: German
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  • 21
    Book
    Book
    Website blocking in the European Union: Network interference from the perspective of Open Internet (2023)
    Weinheim : Wiley-VCH
    Details
    Person(s): Ververis, Vasilis ; Lasota, Lucas ; Ermakova, Tatiana ; Fabian, Benjamin
    Keywords: blocklist ; DNS manipulation ; EU ; Internet censorship ; network interference ; Open Internet ; nationalregulation authority ; websiteblocking
    Abstract: By establishing an infrastructure for monitoring and blocking networks in accordance with European Union (EU) law on preventive measures against the spread of information, EU member states have also made it easier to block websites and services and monitor information. While relevant studies have documented Internet censorship in non-European countries, as well as the use of such infrastructures for political reasons, this study examines network interference practices such as website blocking against the backdrop of an almost complete lack of EU-related research. Specifically, it performs and demonstrates an analysis for the total of 27 EU countries based on three different sources. They include first, tens of millions of historical network measurements collected in 2020 by Open Observatory of Network Interference volunteers from around the world; second, the publicly available blocking lists used by EU member states; and third, the reports issued by network regulators in each country from May 2020 to April 2021. Our results show that authorities issue multiple types of blocklists. Internet Service Providers limit access to different types and categories of websites and services. Such resources are sometimes blocked for unknown reasons and not included in any of the publicly available blocklists. The study concludes with the hurdles related to network measurements and the nontransparency from regulators regarding specifying website addresses in blocking activities.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1002/poi3.367
    Language: English
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  • 22
    Book
    Book
    Artificial neural network in soft HR performance management: new insights from a large organizational dataset (2023)
    Bingley : Emerald
    Details
    Person(s): Roedenbeck, Marc ; Poljsak-Rosinski, Petra
    Abstract: Purpose This study investigates whether the artificial neural network approach, when used on a large organizational soft HR performance dataset, results in a better (R2/RMSE) model compared to the linear regression. With the use of predictive modelling, a more informed base for managerial decision making within soft HR performance management is offered. Design/methodology/approach The study builds on a dataset (n 〉 43 k) stemming from an annual employee MNC survey. It covers several soft HR performance drivers and outcomes (such as engagement, satisfaction and others) that either have evidence of a dual-role nature or non-linear relationships. This study applies the framework for artificial neural network analysis in organization research (Scarborough and Somers, 2006). Findings The analysis reveals a substantial artificial neural network model performance (R2 〉 0.75) with an excellent fit statistic (nRMSE 〈0.10) and all drivers have the same relative importance (RMI [0.102; 0.125]). This predictive analysis revealed that the organization has to increase six of the drivers, keep two on the same level and decrease one. Originality/value Up to date, this study uses the largest dataset in soft HR performance management. Additionally, the predictive results reveal that specific target values lay below the current levels to achieve optimal performance.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1108/EBHRM-07-2022-0171
    Language: English
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  • 23
    Book
    Book
    Automatisierte Erkennung von Messarealen bei robotergestützten In Vivo Messungen (2023)
    Leipzig : Hochschule für Technik, Wirtschaft und Kultur
    Details
    Person(s): Szymanski, Mateusz ; van de Sand, Ron ; Rieckmann, Olaf ; Stolpmann, Alexander
    Keywords: Maschinelles Lernen ; Bildverarbeitung ; Objektdetektion ; Mensch-Roboter-Kollaboration
    Abstract: Dieser Beitrag schlägt ein Bildverarbeitungsmodell zur automatisierten Bestimmung von Messarealen bei robotergestützten In Vivo Messungen vor. Es wird angenommen, dass moderne Verfahren der Deep-Learning-Objekterkennung in der Lage sind die einzelnen Areale wiederholbar genau genug zu erkennen, um die benötigten Messareale im dreidimensionalen Raum einzupassen. Für das Einpassen werden Tiefeninformationen aus einer stereoskopischen Kamera verwendet. Weiter wird untersucht inwiefern diese Tiefeninformationen als zusätzlicher Eingang für die Deep-Learning-Modelle verwendet werden können. Hierfür wird ein Konzept ausgearbeitet, ein Datensatz erstellt und Modelle zur Objekterkennung in verschiedenen Implementierungen trainiert. Das Verwenden von Tiefeninformationen führt zu einer besseren Generalisierbarkeit der Modelle, insbesondere auf tätowierten Hautarealen. Das Bildverarbeitungsmodell erreicht beim Einpassen der Messareale eine gemittelte Wiederholgenauigkeit bzw. Abweichung von 6, 1 mm bei einer Bildwiederholrate von 2, 3 bis 3, 3 Bildern die Sekunde.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.33968/2023.17
    Language: German
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  • 24
    Online Resource
    Online Resource
    Bericht Forschung und Transfer 2022 (2023)
    Wildau : Technische Hochschule Wildau
    Details
    Person(s): Melzer, Klaus-Martin [Herausgeber]
    Abstract: Projekte und Publikationen der Technischen Hochschule Wildau aus dem Jahr 2022.
    Type of Medium: Online Resource
    Publication type: Working paper/research report
    Access type: Open Access
    Peer-reviewed: no
    URL: Datenquelle
    DOI: 10.15771/BFT_2023
    Language: German
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  • 25
    Book
    Book
    Data Science: From Concept to Application (2023)
    Wiesbaden, Germany : Springer Vieweg
    Details
    Person(s): Barton, Thomas ; Müller, Christian
    Keywords: Data Science ; Data Scientist ; Methods ; Tools ; Systems ; Applications
    Type of Medium: Book
    Publication type: Anthology article
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1007/978-3-658-38798-3_1
    Language: English
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  • 26
    Book
    Book
    Determination of Aptamer Structure Using Circular Dichroism Spectroscopy (2023)
    New York, NY : Humana
    Details
    Person(s): Kerler, Yannick ; Sass, Stephan ; Hille, Carsten ; Menger, Marcus M.
    Keywords: Anthracycline ; Aptamers ; Circular dichroism spectroscopy ; Daunorubicin ; G-quadruplex ; Three-dimensional structure
    Type of Medium: Book
    Publication type: Anthology article
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1007/978-1-0716-2695-5_9
    Language: English
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  • 27
    Book
    Book
    Digitale Anwendbarkeit von Rechtsnormen – Auch eine Frage des Rechtskreises? (2023)
    Baden-Baden : Nomos
    Details
    Person(s): Meyer, Stephan
    Type of Medium: Book
    Publication type: Anthology article
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.5771/9783748937647-37
    Language: German
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  • 28
    Book
    Book
    Digitale Werbung und das Google Ökosystem (2023)
    Frankfurt, M. : dfv-Mediengruppe
    Details
    Person(s): Höppner, Thomas ; Piepenbrock, Tom
    Type of Medium: Book
    Publication type: Monograph
    Access type: Metadata only Access
    Peer-reviewed: no
    ISBN: 978-3-8005-1805-0
    URL: Datenquelle
    Language: German
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  • 29
    Online Resource
    Online Resource
    Gestaltung von Usable-Privacy-Instrumenten für öffentliche Online-Dienste (2023)
    Wildau : Technische Hochschule Wildau
    Details
    Person(s): Ruiz Ben, Esther ; Scholl, Margit
    Keywords: Öffentliche Online-Dienste ; Datenschutz ; Usable Privacy ; Informationssicherheit ; Awareness
    Abstract: Das Projekt „Instrumente zur aktiven und sicheren Verbraucherteilhabe an Online Public Services“ (IVTOPS) analysiert die Gestaltung von geeigneten Instrumenten zur Überwindung von Akzeptanzbarrieren bezüglich Datensicherheit und -schutz bei der Nutzung von öffentlichen Online- Diensten. In diesem Beitrag zeigen wir vorläufige Usable-Privacy-Gestaltungsinstrumente, die im Rahmen des Projektes getestet werden.
    Type of Medium: Online Resource
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.15771/1794
    Language: German
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  • 30
    Book
    Book
    Lateral Selective SiGe Growth for Local Dislocation-Free SiGe-on-Insulator Virtual Substrate Fabrication (2023)
    Pennington, NJ : Electrochemical Society (ECS)
    Details
    Person(s): Anand, Kenan ; Schubert, Markus Andreas ; Corley-Wiciak, Agnieszka Anna ; Spirito, Davide ; Corley-Wiciak, Cedric ; Klesse, Wolfgang Matthias ; Mai, Andreas ; Tillack, Bernd ; Yamamoto, Yuji
    Abstract: Dislocation free local SiGe-on-insulator (SGOI) virtual substrate is fabricated using lateral selective SiGe growth by reduced pressure chemical vapor deposition. The lateral selective SiGe growth is performed around a ∼1.25 μm square Si (001) pillar in a cavity formed by HCl vapor phase etching of Si at 850 °C from side of SiO2/Si mesa structure on buried oxide. Smooth root mean square roughness of SiGe surface of 0.14 nm, which is determined by interface roughness between the sacrificially etched Si and the SiO2 cap, is obtained. Uniform Ge content of ∼40% in the laterally grown SiGe is observed. In the Si pillar, tensile strain of ∼0.65% is found which could be due to thermal expansion difference between SiO2 and Si. In the SiGe, tensile strain of ∼1.4% along 〈010〉 direction, which is higher compared to that along 〈110〉 direction, is observed. The tensile strain is induced from both [110] and [−110] directions. Threading dislocations in the SiGe are located only ∼400 nm from Si pillar and stacking faults are running towards 〈110〉 directions, resulting in the formation of a wide dislocation-free area in SiGe along 〈010〉 due to horizontal aspect ratio trapping.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1149/2162-8777/acb739
    Language: English
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  • 31
    Book
    Book
    Modellansatz zur Prozessoptimierung beim hydroadhäsiven Greifen (2023)
    Leipzig : Hochschule für Technik, Wirtschaft und Kultur
    Details
    Person(s): El Ghayed, Tarek ; Falk, Constantin ; Wilbers, Simon ; van de Sand, Ron ; Reiff-Stephan, Jörg
    Keywords: datengetriebenes Modell ; Validierung ; KI ; Cyber-Physical Systems ; hydroadhäsives Greifen
    Abstract: Der Produktlebenszyklus von Kleidung ist vor allem durch lange Lieferketten von Niedriglohnländern in Hochlohnländer gekennzeichnet. Die Eliminierung solcher Transportwege könnte dazu führen, dass der komplette Lebenszyklus von Kleidungsware nachhaltiger und umweltfreundlicher wird. Der Aufbau von Produktionsstätten in Hochlohnländern wird aktuell durch technische Herausforderungen des Produktionsprozesses von Kleidung bzw. allgemein biegeschlaffen Materialien verhindert. Aufgrund der Eigenschaften biegeschlaffer Materialien können die Entnahme bzw. definierte Ablage von Textilteilen heutzutage nur teilautomatisiert bzw. mit einem hohen Anteil manueller Tätigkeiten gelöst werden. Das Hydroadhäsive Greifen könnte eine Lösung sein, die oben genannten Prozesse zu automatisieren und die Produktion für Hochlohnländer zu vergünstigen. Jedoch verfügt das Verfahren noch über lange Zykluszeiten und die Haltekräfte sind nicht reproduzierbar. Weiterhin ist die Findung von Einstellparametern sehr zeitaufwendig und komplex. Die Lösung könnte eine intelligente Steuerung sein, dessen Kernstück ein datengetriebenes Modell für die Parameteroptimierung und -findung ist. Im Rahmen der Forschungsarbeiten wird ein Modellansatz zur Optimierung der Taktzeit beim hydroadhäsiven Greifen erarbeitet. Dabei wird die Gewinnung der Datengrundlage, das zu entwickelnde Modell sowie die eigentliche Validierung diskutiert.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.33968/2023.08
    Language: German
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  • 32
    Book
    Book
    Silent Death by Sound: C60 Fullerene Sonodynamic Treatment of Cancer Cells (2023)
    Basel : MDPI
    Details
    Person(s): Radivoievych, Aleksandar ; Kolp, Benjamin ; Grebinyk, Sergii ; Prylutska, Svitlana ; Ritter, Uwe ; Zolk, Oliver ; Glökler, Jörn ; Frohme, Marcus ; Grebinyk, Anna
    Keywords: ultrasound ; C60 fullerene ; sonodynamic therapy ; HeLa cells ; apoptosis
    Abstract: The acoustic pressure waves of ultrasound (US) not only penetrate biological tissues deeper than light, but they also generate light emission, termed sonoluminescence. This promoted the idea of its use as an alternative energy source for photosensitizer excitation. Pristine C60 fullerene (C60), an excellent photosensitizer, was explored in the frame of cancer sonodynamic therapy (SDT). For that purpose, we analyzed C60 effects on human cervix carcinoma HeLa cells in combination with a low-intensity US treatment. The time-dependent accumulation of C60 in HeLa cells reached its maximum at 24 h (800 ± 66 ng/106 cells). Half of extranuclear C60 is localized within mitochondria. The efficiency of the C60 nanostructure’s sonoexcitation with 1 MHz US was tested with cell-based assays. A significant proapoptotic sonotoxic effect of C60 was found for HeLa cells. C60′s ability to induce apoptosis of carcinoma cells after sonoexcitation with US provides a promising novel approach for cancer treatment.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.3390/ijms24021020
    Language: English
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  • 33
    Online Resource
    Online Resource
    Tagungsband AALE 2023 : Mit Automatisierungstechnik gegen den Klimawandel (2023)
    Leipzig : Hochschule für Technik, Wirtschaft und Kultur
    Details
    Person(s): Reiff-Stephan, Jörg [Herausgeber] ; Jäkel, Jens [Herausgeber] ; Schwarz, André [Herausgeber]
    Type of Medium: Online Resource
    Publication type: Proceedings
    Access type: Open Access
    Peer-reviewed: yes
    ISBN: 978-3-910103-01-6
    URL: Datenquelle
    DOI: 10.33968/2023.01
    Language: German , English
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  • 34
    Book
    Book
    The combination of omics strategies to evaluate starter and probiotic strains in the Catharina sour Brazilian-style beer (2023)
    Amsterdam : Elsevier
    Details
    Person(s): Herkenhoff, Marcos Edgar ; Battistini, Carolina ; Praia, Ana Beatriz ; Rossini, Bruno Cesar ; dos Santos, Lucilene Delazari ; Brödel, Oliver ; Frohme, Marcus ; Saad, Susana Marta Isay
    Keywords: craft beer ; probiotic ; qPCR ; hop resistance genes ; proteome ; metabolome
    Abstract: Catharina sour, the first internationally recognized Brazilian beer, is characterized by fermentation with lactic acid bacteria (LAB), which may have probiotic potential, and the addition of fruit juice. This study aimed to evaluate the use of the starter Streptococcus thermophilus TH‐4 (TH‐4) and the probiotics Lacticaseibacillus paracasei F19 and 431, associated with Saccharomyces cerevisiae US-05, in the absence (control)/presence of passion fruit or peach juices. Evaluation proceeded during fermentation and storage by enumeration using pour-plate and qPCR; gene expressions of hop resistance; proteome by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS); and odor, flavor, and metabolome by Headspace Solid-Phase Microextraction (HS-SPME), coupled with the gas chromatography–mass spectrometry (GC–MS) analysis. We concluded that the strains studied are recommended for applications in sour beers, due to the presence of defense mechanisms like membrane adhesion and H+ pump. Furthermore, HS-SPME/GC-MS indicated that the strains may contribute to the beer flavor and odor.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1016/j.foodres.2023.112704
    Language: English
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  • 35
    Book
    Book
    Coupling of formate dehydrogenase to inverse-opal ITO-PSI electrodes for photocatalytic CO2 reduction (2023)
    Amsterdam : Elsevier
    Details
    Person(s): Morlock, Sascha ; Schenderlein, Matthias ; Kano, Kenji ; Zouni, Athina ; Lisdat, Fred
    Keywords: Photobioelectrodes ; Light energy conversion ; Carbon dioxide utilization ; Indium tin oxide ; Photosystem I ; Formate dehydrogenase
    Abstract: Photosynthesis as one of the most fascinating natural processes uses sunlight and CO2 for the preparation of various organic substances. Taking nature as inspiration the present work applies two proteins in an artificial matrix for constructing a biohybrid system allowing light-to-chemical photocataysis. Thus, the protein complexes photosystem I (PSI) and formate dehydrogenase (FDH) are combined with a porous three-dimensional indium tin oxide structure. Direct electron transfer takes places between the electrode material and PSI resulting in cathodic photocurrents. Instead of maximizing the current output, the study focuses on the usage of the excited electrons to drive FDH catalysis. At the enzyme carbon dioxide is reduced to formate with an efficiency of about 15% relative to the number of enhanced photoelectrons. The arrangement is favorable since it enables the conversion of CO2 at rather small applied potential of −0.2 V vs Ag/AgCl and over a longer period of illumination. Conversion efficiency and stability provide a good starting point for further investigations. The reported ITO/PSI/FDH electrode represents a system which combines photocatalysis with enzymatic catalysis allowing the storage of light energy in chemical energy.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1016/j.biosx.2023.100359
    Language: English
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  • 36
    Book
    Book
    Der Einsatz des Transferscoutings im Wissens- und Technologietransfer (2023)
    Wiesbaden : Springer Gabler
    Details
    Person(s): Mietzner, Dana ; Schneider, Sarah ; Schultz, Christian
    Type of Medium: Book
    Publication type: Anthology article
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1007/978-3-658-37157-9_8
    Language: German
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  • 37
    Book
    Book
    Investigation of metabolic pathways from gut microbiome analyses regarding type 2 diabetes mellitus using artificial neural networks (2023)
    Berlin ; Heidelberg : Springer
    Details
    Person(s): Siptroth, Julienne ; Moskalenko, Olga ; Krumbiegel, Carsten ; Ackermann, Jörg ; Koch, Ina ; Pospisil, Heike
    Keywords: Type 2 diabetes mellitus ; Gut ; NGS ; Artificial neural network ; Machine learning ; Explainable artificial intelligence (XAI)
    Abstract: Type 2 diabetes mellitus is a prevalent disease that contributes to the development of various health issues, including kidney failure and strokes. As a result, it poses a significant challenge to the worldwide healthcare system. Research into the gut microbiome has enabled the identification and description of various diseases, with bacterial pathways playing a critical role in this context. These pathways link individual bacteria based on their biological functions. This study deals with the classification of microbiome pathway profiles of type 2 diabetes mellitus patients.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1749
    URL: Datenquelle
    DOI: 10.1007/s44163-023-00064-6
    Language: English
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  • 38
    Book
    Book
    Optimierung visueller Benutzeroberflächen zur Stressreduzierung (2023)
    Leipzig : Hochschule für Technik, Wirtschaft und Kultur
    Details
    Person(s): Walter, Elias Fabian ; Günther, Norman ; Prell, Bastian ; Wilbers, Simon ; Reiter, Philipp ; Reiff-Stephan, Jörg ; Berger, Ulrich
    Keywords: Eye-Tracking ; Vitalwerte ; Technostress ; Stressreduzierung ; Industrie 5.0 ; Software-Ergonomie
    Abstract: Durch die Menschzentrierung in der Industrie 5.0 sollten bestehende Ansätze hinterfragt und geprüft werden. Gerade der, durch die Digitalisierung hervorgerufene, Technostress sollte neben dem Fachkräftemangel einen zunehmenden Betrachtungsfaktor im Produktionsumfeld erhalten. Da trotz bisheriger Maßnahmen eine stetige Zunahme von Stress zu verzeichnen ist. Auffällig sind dabei die Arbeitsunfähigkeits-Fehltage, welche im letzten Jahr um weitere 6 % bzw. um 18,2 Fehltage gestiegen sind. Womit durchschnittlich jede Erwerbsperson 3,17 Tage unter der Diagnose „psychische Störung“ krankgeschrieben wurde. Um diesen Trend entgegenzuwirken, betrachtet der Beitrag die Möglichkeiten der Software-Ergonomie, womit die Gestaltung von HMIs (Mensch-Maschinen-Interfaces) den Menschen gezielter berücksichtigt um etwaige Belastungen zu reduzieren. Im Rahmen der komplementären Industrie 4.0 und der einhergehenden Informationsflut, bestimmen immer komplexer werdende Schnittstellen und Bedienoberflächen einen Großteil des Arbeitsalltags. Diese ermöglichen den Anwenderinnen und Anwendern neben einem schnellen Überblick über Maschinendaten, Prozessabläufe und Handlungsempfehlungen die Möglichkeit zur einfachen Bedienung der technischen Anlagen. Der hier vorgestellte Ansatz betrachtet am Beispiel einer Bestandsanlage, wo sich Potenziale in der Stressreduzierung im Bereich der visuellen Benutzerschnittstellen befinden und welche Auswirkungen eine Veränderung der Leitführung ermöglicht. Hierfür wurde eine mehrphasige Studie durchgeführt dessen Ergebnisse im Bereich des Eye-Trackings sowie anhand von Vitalwerten im vorliegenden Beitrag diskutiert werden.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.33968/2023.13
    Language: German
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  • 39
    Book
    Book
    Photoelectrochemistry of a photosystem I – ferredoxin construct on ITO electrodes (2023)
    Amsterdam : Elsevier
    Details
    Person(s): Dörpholz, H. ; Subramanian, S. ; Zouni, A. ; Lisdat, F.
    Keywords: Photosystem I ; Photobioelectrochemistry ; ITO electrode ; Ferredoxin NADP reductase ; Biosynthesis
    Abstract: In this study, photobioelectrodes based on a ferredoxin-modified photosystem I (PSI-Fd) from Thermosynechococcus vestitus have been prepared and characterized regarding the direct electron transfer between PSI-Fd and the electrode. The modified PSI with the covalently linked ferredoxin (Fd) on its stromal side has been immobilized on indium-tin-oxide (ITO) electrodes with a 3-dimensional inverse-opal structure. Compared to native PSI, a lower photocurrent and a lower onset potential of the cathodic photocurrent have been observed. This can be mainly attributed to a different adsorption behavior of the PSI-Fd-construct onto the 3D ITO. However, the overall behavior is rather similar to PSI. First experiments have been performed for applying this PSI-Fd photobioelectrode for enzyme-driven NADPH generation. By coupling the electrode system with ferredoxin-NADP+-reductase (FNR), first hints for the usage of photoelectrons for biosynthesis have been collected by verifying NADPH generation.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1016/j.bioelechem.2023.108459
    Language: English
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  • 40
    Book
    Book
    Photoacoustic tomography using a Fabry-Perot sensor with homogeneous optical thickness and wide-field camera-based detection (2023)
    Bellingham, WA : SPIE
    Details
    Person(s): Sievers, Jan ; Villringer, Claus ; Lebek, Werner ; Gilani, Taravat ; Laufer, Jan
    Keywords: Photoacoustic tomograph ; Fabry-Perot sensor ; camera-based setup ; photopolymer ; polyvinyl cinnamate ; interferometer transfer function ; acoustic sensitivity ; detection aperture
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Open Access
    Peer-reviewed: yes
    URL: https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1785
    URL: Datenquelle
    DOI: 10.1117/12.2675590
    Language: English
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  • 41
    Book
    Book
    Quantitative study of LUV-GUV interaction using fluorescence lifetime imaging microscopy and fluorescence correlation spectroscopy (2023)
    Durham, NC : Research Square
    Details
    Person(s): Bruun, Kristina ; Löhmannsröben, Hans-Gerd ; Hille, Carsten
    Abstract: Drug delivery systems are frequently used for targeted transport of pharmaceuticals and their controlled release at a destined target site. One of the most commonly used drug carriers are liposomes. Additionally, such drug-liposome system is used as model system for studying interaction processes at cellular or even molecular level. The aim of our work was to improve the understanding of drug carrier uptake mechanisms by applying fluorescence lifetime imaging microscopy (FLIM) and fluorescence correlation spectroscopy (FCS), both combined with two-photon (2P) excitation. We prepared giant unilamellar vesicles (GUVs) representing a simplified model system for cell membrane, labelled with the amphiphilic fluorescent dye 3,3'-dioctadecyloxacarbocyanine (DiOC18(3)). Furthermore, large unilamellar vesicles (LUVs) were used as a drug carrier system, containing the spectrally different fluorescent sulforhodamine 101 (SRh101) as drug imitate. Herein, we present results of the varying interaction between GUVs and LUVs depending on the used charged lipids. The exchange kinetics and structural changes of the liposome carriers during the fusion process were investigated. We also observed that the internalisation efficiency was mainly influenced by the vesicle´s lipid composition. We ultimately demonstrated that 2P-FLIM and FCS provide a unique methodological approach to study liposome interactions and use them as a versatile model system.
    Type of Medium: Book
    Publication type: Preprint
    Access type: Open Access
    Peer-reviewed: no
    URL: Datenquelle
    DOI: 10.21203/rs.3.rs-3119732/v1
    Language: English
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  • 42
    Book
    Book
    Raising Awareness of CEO Fraud in Germany: Emotionally Engaging Narratives Are a MUST for Long-Term Efficacy (2023)
    Cham : Springer International Publishing
    Details
    Person(s): Scholl, Margit
    Keywords: Cyberattacks ; Awareness ; Game-based learning ; SMEs
    Abstract: This article illustrates the need for a different approach to awareness-raising as a means to generate more cybersecurity in companies. Important findings from the applied scientific literature on the specific topic of CEO fraud attacks are summarized, and two game-based learning scenarios from a current German project for small and medium-sized enterprises (SMEs) are presented. These scenarios have been developed on the basis of insights from the realm of psychology. It is important to arouse positive emotions in employees with these awareness-raising measures in order to create a lasting effect. This, in turn, gives rise to serious learning games with an emotional design, which includes discursive team exchanges, opportunities for individual identification, appealing multimedia elements, and storytelling. The design of these stories—whether they are analog or digital—and employee investment in them are of central importance.
    Type of Medium: Book
    Publication type: Conference paper
    Access type: Metadata only Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.1007/978-3-031-33258-6_40
    Language: English
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  • 43
    Book
    Book
    A Bioinformatics Analysis of Ovarian Cancer Data Using Machine Learning (2023)
    Basel : MDPI
    Details
    Person(s): Schilling, Vincent ; Beyerlein, Peter ; Chien, Jeremy
    Keywords: ovarian cancer ; machine learning ; SHAP ; diagnostic biomarkers ; platinum resistance
    Abstract: The identification of biomarkers is crucial for cancer diagnosis, understanding the underlying biological mechanisms, and developing targeted therapies. In this study, we propose a machine learning approach to predict ovarian cancer patients’ outcomes and platinum resistance status using publicly available gene expression data. Six classical machine-learning algorithms are compared on their predictive performance. Those with the highest score are analyzed by their feature importance using the SHAP algorithm. We were able to select multiple genes that correlated with the outcome and platinum resistance status of the patients and validated those using Kaplan–Meier plots. In comparison to similar approaches, the performance of the models was higher, and different genes using feature importance analysis were identified. The most promising identified genes that could be used as biomarkers are TMEFF2, ACSM3, SLC4A1, and ALDH4A1.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: Datenquelle
    DOI: 10.3390/a16070330
    Language: English
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  • 44
    Book
    Book
    A Comparison of Commercial Sentiment Analysis Services (2023)
    Berlin ; Heidelberg : Springer
    Details
    Person(s): Ermakova, Tatiana ; Fabian, Benjamin ; Golimblevskaia, Elena ; Henke, Max
    Abstract: Empirical insights into promising commercial sentiment analysis solutions that go beyond the claims of their vendors are rare. Moreover, due to the constant evolution in the field, previous studies are far from reflecting the current situation. The goal of this article is to evaluate and compare current solutions using two experimental studies. In the first part of the study, based on tweets about airline service quality, we test the solutions of six vendors with different market power, such as Amazon, Google, IBM, Microsoft, Lexalytics, and MeaningCloud, and report their measures of accuracy, precision, recall, (macro)F1, time performance, and service level agreements (SLA). Furthermore, we compare two of the services in depth with multiple data sets and over time. The services tested here are Google Cloud Natural Language API and MeaningCloud Sentiment Analysis API. For evaluating the results over time, we use the same data set as in November 2020. In addition, further topic-specific and general Twitter data sets are used. The experiments show that the IBM Watson NLU and Google Cloud Natural Language API solutions may be preferred when negative text detection is the primary concern. When tested in July 2022, the Google Cloud Natural Language API was still the clear winner compared to the MeaningCloud Sentiment Analysis API, but only on the airline service quality data set; on the other data sets, both services provided specific benefits and drawbacks. Furthermore, we detected changes in the sentiment classification over time with both services. Our results motivate that an independent, critical, and longitudinal experimental analysis of sentiment analysis services can provide interesting insights into their overall reliability and particular classification accuracy beyond marketing claims to critically compare solutions based on real data and analyze potential weaknesses and margins of error before making an investment.
    Type of Medium: Book
    Publication type: Journal article
    Access type: Open Access
    Peer-reviewed: yes
    URL: https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1759
    URL: Datenquelle
    DOI: 10.1007/s42979-023-01886-y
    Language: English
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  • 45
    Book
    Book
    A Data-Driven Approach Towards the Application of Reinforcement Learning Based HVAC Control (2023)
    Lafia, Nigeria : Nigerian Society of Physical Sciences
    Details
    Person(s): Falk, Consta