@article{HenningWagnerGedatetal.2023, author = {Henning, Thorsten and Wagner, Philipp and Gedat, Egbert and Kochlik, Bastian and Kusch, Paula and Sowoidnich, Kay and Vastag, Marko and Gleim, Jeannine and Braune, Marcel and Maiwald, Martin and Sumpf, Bernd and Grune, Tilman and Weber, Daniela}, title = {Evaluation of Modern Approaches for the Assessment of Dietary Carotenoids as Markers for Fruit and Vegetable Consumption}, series = {Nutrients}, volume = {15}, journal = {Nutrients}, number = {7}, publisher = {MDPI}, issn = {2072-6643}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17280}, year = {2023}, abstract = {The assessment of dietary carotenoids via blood measurements has been widely used as a marker for fruit and vegetable consumption. In the present study, modern, non-invasive approaches to assess dietary carotenoids, such as skin measurements and an app-based short dietary record (ASDR), were compared with conventional methods such as plasma status and handwritten 3-day dietary records. In an 8-week observational study, 21 healthy participants aged 50-65 years recorded their daily consumption of carotenoid-rich fruits and vegetables via a specially developed ASDR. Anthropometry, blood samplings and assessment of skin carotenoids via Raman and reflection spectroscopy were performed at baseline, after four weeks and at the end of the study. App-based intake data showed good correlations with plasma α-carotene (r = 0.74, p < 0.0001), β-carotene (r = 0.71, p < 0.0001), and total plasma carotenoids (r = 0.65, p < 0.0001); weak correlations with plasma lutein/zeaxanthin and β-cryptoxanthin (both r = 0.34, p < 0.05); and no correlation with plasma lycopene. Skin measurements via reflection and Raman spectroscopy correlated well with total plasma carotenoids (r = 0.81 and 0.72, respectively; both p < 0.0001), α-carotene (r = 0.75-0.62, p < 0.0001), and β-carotene (r = 0.79-0.71, p < 0.0001); moderately with plasma lutein/zeaxanthin (both r = 0.51, p < 0.0001); weakly with plasma β-cryptoxanthin (r = 0.40-0.31, p < 0.05); and showed no correlation with plasma lycopene. Skin measurements could provide a more convenient and noninvasive approach of estimating a person's fruit and vegetable consumption compared to traditional methods, especially in studies that do not intend blood sampling. ASDR records might function as a suitable, convenient tool for dietary assessment in nutritional intervention studies.}, language = {en} } @article{PfeilSiptrothPospisiletal.2023, author = {Pfeil, Juliane and Siptroth, Julienne and Pospisil, Heike and Frohme, Marcus and Hufert, Frank T. and Moskalenko, Olga and Yateem, Murad and Nechyporenko, Alina}, title = {Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition}, series = {Big Data and Cognitive Computing}, volume = {7}, journal = {Big Data and Cognitive Computing}, number = {1}, publisher = {MDPI}, issn = {2504-2289}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17184}, year = {2023}, 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.}, language = {en} } @article{AlekseevaNechyporenkoFrohmeetal.2023, author = {Alekseeva, Victoriia and Nechyporenko, Alina and Frohme, Marcus and Gargin, Vitaliy and Meniailov, Ievgen and Chumachenko, Dmytro}, title = {Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation}, series = {Electronics}, volume = {12}, journal = {Electronics}, number = {5}, publisher = {MDPI}, issn = {2079-9292}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17088}, year = {2023}, 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.}, language = {en} } @article{FalkElGhayedvandeSandetal.2023, author = {Falk, Constantin and El Ghayed, Tarek and van de Sand, Ron and Reiff-Stephan, J{\"o}rg}, title = {A Data-Driven Approach Towards the Application of Reinforcement Learning Based HVAC Control}, series = {Journal of the Nigerian Society of Physical Sciences}, volume = {5}, journal = {Journal of the Nigerian Society of Physical Sciences}, number = {1}, publisher = {Department of Physics, Federal University Lafia Nasarawa State, Nigeria ; Nigerian Society of Physical Sciences}, issn = {2714-4704}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17066}, year = {2023}, abstract = {Refrigeration applications consume a significant share of total electricity demand, with a high indirect impact on global warming through greenhouse gas emissions. Modern technology can help reduce the high power consumption and optimize the cooling control. This paper presents a case study of machine-learning for controlling a commercial refrigeration system. In particular, an approach to reinforcement learning is implemented, trained and validated utilizing a model of a real chiller plant. The reinforcement-learning controller learns to operate the plant based on its interactions with the modeled environment. The validation demonstrates the functionality of the approach, saving around 7\% of the energy demand of the reference control. Limitations of the approach were identified in the discretization of the real environment and further model-based simplifications and should be addressed in future research.}, language = {en} } @article{KoenigKiffnerKuhlsetal.2023, author = {K{\"o}nig, Hannes J. and Kiffner, Christian and Kuhls, Katrin and Uthes, Sandra and Harms, Verena and Wieland, Ralf}, title = {Planning for wolf-livestock coexistence: landscape context predicts livestock depredation risk in agricultural landscapes}, series = {animal}, volume = {17}, journal = {animal}, number = {3}, publisher = {Elsevier}, issn = {1751-7311}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17032}, year = {2023}, abstract = {Extensive pastoral livestock systems in Central Europe provide multiple ecosystem services and support biodiversity in agricultural landscapes but their viability is challenged by livestock depredation (LD) associated with the recovery of wolf populations. Variation in the spatial distribution of LD depends on a suite of factors, most of which are unavailable at the appropriate scales. To assess if LD patterns can be predicted sufficiently with land use data alone at the scale of one federal state in Germany, we employed a machine-learning-supported resource selection approach. The model used LD monitoring data, and publicly available land use data to describe the landscape configuration at LD and control sites (resolution 4 km * 4 km). We used SHapley Additive exPlanations to assess the importance and effects of landscape configuration and cross-validation to evaluate the model performance. Our model predicted the spatial distribution of LD events with a mean accuracy of 74\%. The most influential land use features included grassland, farmland and forest. The risk of livestock depredation was high if these three landscape features co-occurred with a specific proportion. A high share of grassland, combined with a moderate proportion of forest and farmland, increased LD risk. We then used the model to predict the LD risk in five regions; the resulting risk maps showed high congruence with observed LD events. While of correlative nature and lacking specific information on wolf and livestock distribution and husbandry practices, our pragmatic modelling approach can guide spatial prioritisation of damage prevention or mitigation practices to improve livestock-wolf coexistence in agricultural landscapes.}, language = {en} } @article{MorlockSubramanianZounietal.2023, author = {Morlock, Sascha and Subramanian, Senthil Kumar and Zouni, Athina and Lisdat, Fred}, title = {Closing the green gap of photosystem I with synthetic fluorophores for enhanced photocurrent generation in photobiocathodes}, series = {Chemical Science}, volume = {14}, journal = {Chemical Science}, publisher = {Royal Society of Chemistry (RSC)}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17022}, pages = {1696 -- 1708}, year = {2023}, 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.}, language = {en} } @article{AnandSchubertCorleyWiciaketal.2023, author = {Anand, Ketan and Schubert, Markus Andreas and Corley-Wiciak, Agnieszka Anna and Spirito, Davide and Corley-Wiciak, Cedric and Klesse, Wolfgang M. and Mai, Andreas and Tillack, Bernd and Yamamoto, Yuji}, title = {Lateral Selective SiGe Growth for Local Dislocation-Free SiGe-on-Insulator Virtual Substrate Fabrication}, series = {ECS Journal of Solid State Science and Technology}, volume = {12}, journal = {ECS Journal of Solid State Science and Technology}, publisher = {Electrochemical Society (ECS); IOP}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17013}, year = {2023}, 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.}, language = {en} } @article{RoosHoqueKlimešovaetal.2023, author = {Roos, Andreas Hult and Hoque, Ziaul and Klimešov{\´a}, Eva and Ben Ltaief, Ltaief and Medina, Cristian and Jurkovič, Matej and Albrecht, Martin and Finke, Ondřej and Hort, Ondřej and Nejdl, Jaroslav and Mudrich, Marcel and Andreasson, Jakob and Krikunova, Maria}, title = {Electron correlation dynamics in atomic Kr excited by XUV pulses and controlled by NIR laser pulses of variable intensity}, series = {New Journal of Physics}, volume = {25}, journal = {New Journal of Physics}, publisher = {Institute of Physics Publishing (IOP)}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-16987}, year = {2023}, abstract = {We have investigated the possibility to track and control correlation dynamics of valence electrons in krypton (Kr) initiated by the absorption of one extreme ultraviolet (XUV) photon. In this investigation, pump-probe experiments have been performed where monochromatized single high-harmonics at photon energies 29.6, 32.8, and 35.9 eV have been used as pump to populate different intermediate excited states. A temporally delayed near-infrared (NIR) pulse probes the population of various decay channels via the detection of Kr²⁺ ion yields and its transient profiles. We observe that by varying the NIR pulse intensity within a range from 0.3 x 10¹³ to 2.6 x 10¹³ W cm⁻², the shape of the Kr²+ transient profile changes significantly. We show that by varying the intensity of the NIR pulse, it is possible—(i) to control the ratio between sequential and non-sequential double ionization of Kr; (ii) to selectively probe quantum beating oscillations between Kr+* satellite states that are coherently excited within the bandwidth of the XUV pulse; and (iii) to specifically probe the relaxation dynamics of doubly excited (Kr**) decay channels. Our studies show that the contribution of different ionization and decay channels (i)-(iii) can be altered by the NIR pulse intensity, thus demonstrating an efficient way to control the ionization dynamics in rare gas atoms.}, language = {en} } @article{KoberSchaeferHollertetal.2023, author = {Kober, Liane and Schaefer, Paul and Hollert, Henner and Frohme, Marcus}, title = {A novel strategy for high-throughput sample collection, analysis and visualization of explosives' concentrations for contaminated areas}, series = {International Journal of Environmental Science and Technology}, volume = {20}, journal = {International Journal of Environmental Science and Technology}, number = {2}, publisher = {Springer Nature}, issn = {1735-2630}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-15981}, pages = {1399 -- 1410}, year = {2023}, 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.}, language = {en} } @article{RykovaStiebenDostovalovaetal.2023, author = {Rykova, Eugenia and Stieben, Christine and Dostovalova, Olga and Wieker, Horst}, title = {Connected Driving in German-Speaking Social Media}, series = {Social Sciences}, volume = {12}, journal = {Social Sciences}, number = {1}, publisher = {MDPI}, issn = {2076-0760}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-16969}, year = {2023}, abstract = {Intelligent transportation systems (ITS) have been steadily becoming part of our reality. For their successful integration, studying and understanding public opinions and acceptance is important. Social media platforms offer an extensive opportunity for opinion mining. While there have been studies on people's attitudes towards automated driving, another important ITS concept—connected driving—has received little to no attention. In the current study, data on how connected driving is represented and perceived were collected from German(-speaking) Reddit and Twitter. In relevant Reddit entries, the necessity of communication between vehicles was discussed almost exclusively in the context of automated driving. On Twitter, mostly shared news and information on the topic are presented, while the number of personal opinions is low. The most concerning subtopic seems to be cybersecurity, which reflects a general trend of data protection issues discussed in society.}, language = {en} }