@article{LehnertLiebchenSchiefelbuschetal.2026, author = {Lehnert, Martin and Liebchen, Christian and Schiefelbusch, Martin and Bruder, Peter and Harmann, Dennis}, title = {Insights into Ridepooling efficiency: A case study analysis using a novel operational performance measure framework}, series = {Journal of Urban Mobility}, volume = {9}, journal = {Journal of Urban Mobility}, publisher = {Elsevier}, issn = {2667-0917}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20971}, year = {2026}, abstract = {The efficiency of demand responsive transport (DRT) services, such as ridepooling, has garnered significant attention across various (simulation) studies. However, a deeper look into the metrics employed to assess system performance exposes notable discrepancies in their utilization. Notably, certain indicators, such as the pooling rate, demonstrate a susceptibility to manipulation based on input parameters, potentially skewing results to give a more favorable impression of service performance. In this paper, we show that, under such circumstances, achieving a fair comparison between study outcomes and with traditional (public) transport modes becomes challenging. In light of these challenges, this study introduces a novel operational performance indicator: Operational System Efficiency (OSE). OSE is tailored to evaluate the operational efficiency of ridepooling systems in a holistic way. In particular, it combines important operational indicators such as detour factor and empty kilometers share, which are considered in numerous analyses. Hereby, OSE is fostering a more equitable assessment of service performance. We applied this methodology and calculated the indicators provided in other studies to two real-world trip datasets from ridepooling services in Berlin and M{\"u}nster, Germany, and compared the results. Distinct disparities emerge in comparison with conventional efficiency indicators. Consequently, the proposed OSE holds promise for stakeholders, including service providers, public transport companies, and regulatory authorities, as a valuable tool for determining the suitability of a ridepooling service for a given locale relative to other transport modalities, while also providing a transparent assessment of its efficiency.}, language = {en} } @article{RoedenbeckHerold2026, author = {Roedenbeck, Marc and Herold, Marcel}, title = {Personality Profiles in Online Job Advertisements: Applying a Weighted Closed Vocabulary Approach to Identify Generic Profiles and Clusters}, series = {SAGE Open}, volume = {16}, journal = {SAGE Open}, number = {1}, publisher = {Sage}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-21282}, year = {2026}, abstract = {On the background of the supplementary applicant-job fit theory, this study tests the application of a weighted closed vocabulary approach as introduced by Ostendorf on a large corpus of online job advertisements (OJA). Therefore, a large dataset of online job advertisements (OJAs) was scraped from a German job portal (N = 151k), and a sample (n = 3,239) was selected based upon Porter's Value Chain and corresponding job functions. The dataset was pre-processed with techniques of natural language processing, and the predefined words extracted from the OJAs were weighted with the average subject matter expert rating, as offered in the vocabulary of Ostendorf. The results reveal that, first, 0 to 12 words describing personality are used across OJAs, second, that HR, sales, and finance positions show values higher than sample mean (3.22), third, that HR positions show loadings across all dimensions of personality above the sample means (extroversion: 2.32, agreeableness: 3.98, conscientiousness: 4.28, emotional stability: 3.54, openness: 2.0) followed by sales. The job profiles being significantly parallel on equal levels are HR clerk and referee, as well as IT, R\&D, and procurement. While conscientiousness is reported to be an important predictor of performance, our study showed only low to average importance in OJAs.}, language = {en} } @article{ZeschFinkelsteinRegehlyetal.2026, author = {Zesch, Christoph and Finkelstein, Daniel and Regehly, Martin and Reif, J{\"u}rgen and Schrader, Sigurd}, title = {Efficient nanosecond barium nitrate Raman laser for the visible spectral range}, series = {Optics Express}, volume = {34}, journal = {Optics Express}, number = {4}, publisher = {Optica}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-21320}, pages = {6355 -- 6363}, year = {2026}, abstract = {We report on the design and performance of two solid-state Raman lasers, pumped by a frequency-doubled Nd:YAG laser at 532 nm (8 ns FWHM, 10 Hz, up to 10 mJ), that generate either the first or second Stokes radiation with wavelengths of 563 nm and 598 nm. Barium nitrate crystals with a 1 cm² face area and lengths of 3 cm and 5 cm were used as the Raman-active medium in stable semi-spherical resonators. The Raman lasers produced first Stokes and second Stokes pulses, achieving pulse energies up to 2.3 mJ and conversion efficiencies up to 35\% (first Stokes, 5 cm crystal) and 21\% (second Stokes, 5 cm crystal). The output beams exhibit nearly Gaussian profiles with beam quality factors of M² = 1.67 and M² = 1.83, respectively. The proposed design and characterization demonstrated a Raman laser with high efficiency and superior beam quality. After subsequent frequency doubling, the output appears well dedicated for future differential absorption LiDAR (DIAL) applications.}, language = {en} } @article{PrzymusRykaczewskiMartinSeguraetal.2025, author = {Przymus, Piotr and Rykaczewski, Krzysztof and Mart{\´i}n-Segura, Adri{\´a}n and Truu, Jaak and De Santa Pau, Enrique Carrillo and Kolev, Mikhail and Naskinova, Irina and Gruca, Aleksandra and Sampri, Alexia and Frohme, Marcus and Nechyporenko, Alina}, title = {Deep Learning in Microbiome Analysis: A Comprehensive Review of Neural Network Models}, series = {Frontiers in Microbiology}, volume = {15}, journal = {Frontiers in Microbiology}, publisher = {Frontiers}, issn = {1664-302X}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19889}, year = {2025}, abstract = {Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. However, despite their potential, deep learning approaches face significant challenges in microbiome research. Additionally, the biological variability in microbiome datasets requires tailored approaches to ensure robust and generalizable outcomes. As microbiome research continues to generate vast and complex datasets, addressing these challenges will be crucial for advancing microbiological insights and translating them into practical applications with DL. This review provides an overview of different deep learning models in microbiome research, discussing their strengths, practical uses, and implications for future studies. We examine how these models are being applied to solve key problems and highlight potential pathways to overcome current limitations, emphasizing the transformative impact DL could have on the field moving forward.}, language = {en} } @article{DemskiSeidlitzKukeetal.2025, author = {Demski, Nils Maximilian and Seidlitz, Holger and Kuke, Felix and Dorn, Oliver Niklas and Zoglauer, Janina and H{\"u}ckstaedt, Tobias and Kamm, Paul Hans and Garc{\´i}a-Moreno, Francisco and Kremp, Noah and Dreyer, Christian and Oberschmidt, Dirk}, title = {Flow-Line-Reducing Tetrahedral Metal Effect Pigments for Injection Molding: A Yield-Rate-Improved Particle Manufacturing Method Based on Soft UVImprint Lithography}, series = {Polymers}, volume = {17}, journal = {Polymers}, number = {19}, publisher = {MDPI}, issn = {2073-4360}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20850}, year = {2025}, abstract = {This publication presents an improved manufacturing method for tetrahedral metal effect pigment particles that demonstrates reduced flowlines in injection-molded polymer components compared with conventional platelet-shaped pigment particles. The previously published cold forming process for tetrahedral particles, made entirely from aluminum, faced manufacturing challenges, resulting in a high reject rate due to particle adhesion to the micro-structured mold roller. In contrast, this study introduces a new manufacturing method for tetrahedral particles, now consisting of metallized UV-cured thermoset polymer. These particles, dispersed in amorphous matrix thermoplastics, have shown to maintain their shape during the injection molding process. The manufacturing technique for these novel particles is based on UV imprint lithography, omitting the reject rates compared with the previously presented cold rolling process of tetrahedral full aluminum particles. Thus, the novel manufacturing technique for tetrahedral pigment particles shows increased potential for automation through roll-to-roll manufacturing in the future.}, language = {en} } @article{KsianzouVillringerGrytsenkoetal.2025, author = {Ksianzou, Viachaslau and Villringer, Claus and Grytsenko, Kostyantyn and Pekur, Demyd and Lytvyn, Peter and Sopinskyy, Mykola and Lebedyeva, Iryna and Niemczyk, Agata and Baranowska, Jolanta}, title = {Structural and Optical Anomalies in Thin Films Grown in a Magnetic Field by Electron-Assisted Vacuum Deposition of PTFE}, series = {Macromolecular Materials and Engineering}, volume = {310}, journal = {Macromolecular Materials and Engineering}, number = {3}, publisher = {Wiley}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19712}, year = {2025}, abstract = {Polytetrafluoroethylene (PTFE) films are deposited in parallel and perpendicular magnetic fields (MF) by electron-enhanced vacuum deposition (EVD) and EVD + low-temperature plasma (LTP) methods. The structure, morphology, and nanomechanical properties of the films are studied by infrared spectroscopy (IRS), atomic force microscopy (AFM), and spectroscopic ellipsometry. The structure of the thicker films is closer to that of bulk PTFE than that of thin films. The films' crystallinity and surface roughness are higher than those deposited without MF. The birefringence of the refractive index (n) of the films deposited in the MF is inverse to the anisotropy of the n of the films deposited without MF. The hardness of the films is close to that of bulk PTFE.}, language = {en} } @article{BauerHeinrichVillasmuntaetal.2025, author = {Bauer, Joachim and Heinrich, Friedhelm and Villasmunta, Francesco and Villringer, Claus and Reck, Johanna and Peters, Sven and Treffer, Alexander and Kuhnt, Christian and Marschmeyer, Steffen and Fursenko, Oksana and Stolarek, David and Mai, Andreas and Regehly, Martin}, title = {Reflectometric method for measuring residual oxides in through-silicon vias for 3D chip integration}, series = {Optics Express}, volume = {33}, journal = {Optics Express}, number = {15}, publisher = {Optica}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20633}, pages = {32175 -- 32189}, year = {2025}, abstract = {A significant aspect of fabricating 3D chip architectures is ensuring proper contact between the different layers of the chip, which often requires removing the underside of isolation layers before filling vias with conductive material. Currently, scanning electron microscopy is the established method for investigating such structures. In this paper, we propose a rapid, non-destructive optical analysis technique for the simultaneous measurement of through-silicon vias (TSV) depths, silicon wafer thickness, and residual oxide thickness. The proposed method utilizes Fourier peak shift analysis (FPSA) of reflectance measurements in the near-infrared (1200 nm—2200 nm) spectral regions. The application of FPSA to representative samples taken from a commercial TSV integration process for MEMS and CMOS fabrication demonstrated good agreement with reference scanning electron microscopy measurements, confirming the feasibility of the method for in-line and in-situ metrology. The results indicate that FPSA has great potential for real-time process monitoring and control during 3D chip manufacturing.}, language = {en} } @article{BilousMalkoFrohmeetal.2024, author = {Bilous, Nataliya and Malko, Vladyslav and Frohme, Marcus and Nechyporenko, Alina}, title = {Comparison of CNN-Based Architectures for Detection of Different Object Classes}, series = {AI}, volume = {5}, journal = {AI}, number = {4}, publisher = {MDPI}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19634}, pages = {2300 -- 2320}, year = {2024}, abstract = {(1) Background: Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of civilians. A fast and accurate detection of people and equipment can significantly increase the effectiveness of search and rescue missions and provide timely assistance to people. Computer vision and deep learning technologies play a key role in detecting the required objects due to their ability to analyze big volumes of visual data in real-time. (2) Methods: The performance of the neural networks such as You Only Look Once (YOLO) v4-v8, Faster R-CNN, Single Shot MultiBox Detector (SSD), and EfficientDet has been analyzed using COCO2017, SARD, SeaDronesSee, and VisDrone2019 datasets. The main metrics for comparison were mAP, Precision, Recall, F1-Score, and the ability of the neural network to work in real-time. (3) Results: The most important metrics for evaluating the efficiency and performance of models for a given task are accuracy (mAP), F1-Score, and processing speed (FPS). These metrics allow us to evaluate both the accuracy of object recognition and the ability to use the models in real-world environments where high processing speed is important. (4) Conclusion: Although different neural networks perform better on certain types of metrics, YOLO outperforms them on all metrics, showing the best results of mAP-0.88, F1-0.88, and FPS-48, so the focus was on these models.}, language = {en} } @article{RadivoievychSchnepelPrylutskaetal.2024, author = {Radivoievych, Aleksandar and Schnepel, Sophia and Prylutska, Svitlana and Ritter, Uwe and Zolk, Oliver and Frohme, Marcus and Grebinyk, Anna}, title = {From 2D to 3D In Vitro World: Sonodynamically-Induced Prooxidant Proapoptotic Effects of C60-Berberine Nanocomplex on Cancer Cells}, series = {Cancers}, volume = {16}, journal = {Cancers}, number = {18}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19438}, year = {2024}, abstract = {Recently, sonodynamic therapy (SDT) has emerged as a promising non-invasive approach for treating cancer by activating sensitizers with ultrasound (US). In this context, we investigated C60 fullerene (C60) as a nanocarrier for the promising drug Berberine (Ber)—both potential aromatic sonosensitizers. The preferential mitochondrial accumulation of C60 and the proapoptotic effects of Ber also make the C60-Berberine nanocomplex (C60-Ber) a good candidate for direct induction of the intrinsic apoptotic cell death under US action. The in vitro research on C60-Ber can provide insights into novel, non-invasive cancer treatments. These findings lead to the development of targeted therapies with reduced side effects, inspire interdisciplinary collaboration, and open new avenues for drug delivery and cancer therapy research.}, language = {en} } @article{RadivoievychKolpGrebinyketal.2023, author = {Radivoievych, Aleksandar and Kolp, Benjamin and Grebinyk, Sergii and Prylutska, Svitlana and Ritter, Uwe and Zolk, Oliver and Gl{\"o}kler, J{\"o}rn and Frohme, Marcus and Grebinyk, Anna}, title = {Silent Death by Sound: C60 Fullerene Sonodynamic Treatment of Cancer Cells}, series = {International Journal of Molecular Sciences}, volume = {24}, journal = {International Journal of Molecular Sciences}, number = {2}, publisher = {MDPI}, issn = {1422-0067}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-16877}, year = {2023}, 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.}, language = {en} }