TY - JOUR A1 - Heinsohn, Natascha Katharina A1 - Niedl, Robert Raimund A1 - Anielski, Alexander A1 - Lisdat, Fred A1 - Beta, Carsten T1 - Electrophoretic µPAD for Purification and Analysis of DNA Samples JF - Biosensors N2 - In this work, the fabrication and characterization of a simple, inexpensive, and effective microfluidic paper analytic device (µPAD) for monitoring DNA samples is reported. The glass microfiber-based chip has been fabricated by a new wax-based transfer-printing technique and an electrode printing process. It is capable of moving DNA effectively in a time-dependent fashion. The nucleic acid sample is not damaged by this process and is accumulated in front of the anode, but not directly on the electrode. Thus, further DNA processing is feasible. The system allows the DNA to be purified by separating it from other components in sample mixtures such as proteins. Furthermore, it is demonstrated that DNA can be moved through several layers of the glass fiber material. This proof of concept will provide the basis for the development of rapid test systems, e.g., for the detection of pathogens in water samples. KW - microfluidic paper analytic device (µPAD) KW - patterning glass microfiber KW - fiber-electrophoresis chip KW - DNA KW - imprinted electrodes KW - cross layer chip KW - polymerase chain reaction (PCR) KW - purification Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-15763 SN - 2079-6374 VL - 12 IS - 2 PB - MDPI ER - TY - JOUR A1 - Kirchner, Thomas A1 - Villringer, Claus A1 - Laufer, Jan T1 - Evaluation of ultrasound sensors for transcranial photoacoustic sensing and imaging JF - Photoacoustics N2 - Photoacoustic imaging through skull bone causes strong attenuation and distortion of the acoustic wavefront, which diminishes image contrast and resolution. As a result, transcranial photoacoustic measurements in humans have been challenging to demonstrate. In this study, we investigated the acoustic transmission through the human skull to design an ultrasound sensor suitable for transcranial PA imaging and sensing. We measured the frequency dependent losses of human cranial bones ex vivo, compared the performance of a range of piezoelectric and optical ultrasound sensors, and imaged skull phantoms using a PA tomograph based on a planar Fabry–Perot sensor. All transcranial photoacoustic measurements show the typical effects of frequency and thickness dependent attenuation and aberration associated with acoustic propagation through bone. The performance of plano-concave optical resonator ultrasound sensors was found to be highly suitable for transcranial photoacoustic measurements. KW - transcranial KW - ultrasound sensor KW - photoacoustic KW - optoacoustic KW - Fabry-Perot Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17993 SN - 2213-5979 VL - 33 PB - Elsevier ER - TY - JOUR A1 - D'Elia, Domenica A1 - Truu, Jaak A1 - Lahti, Leo A1 - Berland, Magali A1 - Papoutsoglou, Georgios A1 - Ceci, Michelangelo A1 - Zomer, Aldert A1 - Lopes, Marta B. A1 - Ibrahimi, Eliana A1 - Gruca, Aleksandra A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Klammsteiner, Thomas A1 - Carrillo de Santa Pau, Enrique A1 - Marcos-Zambrano, Laura Judith A1 - Hron, Karel A1 - Pio, Gianvito A1 - Simeon, Andrea A1 - Suharoschi, Ramona A1 - Moreno-Indias, Isabel A1 - Temko, Andriy A1 - Nedyalkova, Miroslava A1 - Apostol, Elena-Simona A1 - Truică, Ciprian-Octavian A1 - Shigdel, Rajesh A1 - Telalović, Jasminka Hasić A1 - Bongcam-Rudloff, Erik A1 - Przymus, Piotr A1 - Jordamović, Naida Babić A1 - Falquet, Laurent A1 - Tarazona, Sonia A1 - Sampri, Alexia A1 - Isola, Gaetano A1 - Pérez-Serrano, David A1 - Trajkovik, Vladimir A1 - Klucar, Lubos A1 - Loncar-Turukalo, Tatjana A1 - Havulinna, Aki S. A1 - Jansen, Christian A1 - Bertelsen, Randi J. A1 - Claesson, Marcus Joakim T1 - Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action JF - Frontiers in Microbiology N2 - The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medicine. However, several challenges must be addressed to exploit the benefits of ML in this field fully. In particular, there is a need to establish “gold standard” protocols for conducting ML analysis experiments and improve interactions between microbiome researchers and ML experts. The Machine Learning Techniques in Human Microbiome Studies (ML4Microbiome) COST Action CA18131 is a European network established in 2019 to promote collaboration between discovery-oriented microbiome researchers and data-driven ML experts to optimize and standardize ML approaches for microbiome analysis. This perspective paper presents the key achievements of ML4Microbiome, which include identifying predictive and discriminatory ‘omics’ features, improving repeatability and comparability, developing automation procedures, and defining priority areas for the novel development of ML methods targeting the microbiome. The insights gained from ML4Microbiome will help to maximize the potential of ML in microbiome research and pave the way for new and improved healthcare practices. KW - microbiome KW - machine learning KW - artificial intelligence KW - standard KW - best practice Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18004 SN - 1664-302X VL - 14 PB - Frontiers ER - TY - CHAP A1 - Masing, Berenike A1 - Lindner, Niels A1 - Liebchen, Christian T1 - Integrating Line Planning for Construction Sites into Periodic Timetabling via Track Choice T2 - 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2023) N2 - 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. KW - periodic timetabling KW - line planning KW - track choice KW - mixed-integer programming KW - construction site KW - railway rescheduling Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17916 SN - 978-3-95977-302-7 SN - 2190-6807 VL - 115 SP - 5:1 EP - 5:15 ER - TY - JOUR A1 - Loos, Eugène A1 - Gröpler, Johanna A1 - Goudeau, Marie-Louise Sophie T1 - Using ChatGPT in Education: Human Reflection on ChatGPT’s Self-Reflection JF - Societies N2 - 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. KW - ChatGPT KW - AI KW - text generating KW - education KW - SWOT analysis KW - self-reflection KW - hallucination KW - artificial intelligence Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17966 SN - 2075-4698 VL - 13 IS - 8 PB - MDPI ER - TY - JOUR A1 - Walter, Andreas A1 - Kubica, Stefan A1 - Rocco, Vittorio T1 - Optimized fuel values for emission reduction JF - IOP Conference Series: Earth and Environmental Science N2 - Aviation is an integral and vital part of modern society. The growth over the last decades has consequences for greenhouse gas emissions and reducing this through efficiency within the same framework is difficult. Precision flight planning is crucial for reliably and optimized real environment aircraft operation. The presented study gives an overview of the status of the legal requirements for flight planning under the current fuel requirements of the European Union Aviation Safety Agency (EASA) and the emerging opportunities for fuel savings. As part of the larger study, planned and actual fuel figures of an international cargo airline were statistically analyzed. The overall analysis showed that there was no significant deviation between planned and consumed fuel. Based on the results, an adjustment of the planned alternative fuel quantity can be considered within the framework of an individual fuel plan. The possible savings potential using the example of Destination Alternate Airport fuel is presented. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18148 SN - 1755-1315 N1 - 4th International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF-2023) 22/05/2023 - 26/05/2023 Kryvyi Rih, Ukraine VL - 1254 PB - Institute of Physics Publishing (IOP) ER - TY - JOUR A1 - Radivoievych, Aleksandar A1 - Prylutska, Svitlana A1 - Zolk, Oliver A1 - Ritter, Uwe A1 - Frohme, Marcus A1 - Grebinyk, Anna T1 - Comparison of Sonodynamic Treatment Set-Ups for Cancer Cells with Organic Sonosensitizers and Nanosonosensitizers JF - Pharmaceutics N2 - Cancer sonodynamic therapy (SDT) is the therapeutic strategy of a high-frequency ultrasound (US) combined with a special sonosensitizer that becomes cytotoxic upon US exposure. The growing number of newly discovered sonosensitizers and custom US in vitro treatment solutions push the SDT field into a need for systemic studies and reproducible in vitro experimental set-ups. In the current research, we aimed to compare two of the most used and suitable SDT in vitro set-ups—“sealed well” and “transducer in well”—in one systematic study. We assessed US pressure, intensity, and temperature distribution in wells under US irradiation. Treatment efficacy was evaluated for both set-ups towards cancer cell lines of different origins, treated with two promising sonosensitizer candidates—carbon nanoparticle C60 fullerene (C60) and herbal alkaloid berberine. C60 was found to exhibit higher sonotoxicity toward cancer cells than berberine. The higher efficacy of sonodynamic treatment with a “transducer in well” set-up than a “sealed well” set-up underlined its promising application for SDT in vitro studies. The “transducer in well” set-up is recommended for in vitro US treatment investigations based on its US-field homogeneity and pronounced cellular effects. Moreover, SDT with C60 and berberine could be exploited as a promising combinative approach for cancer treatment. KW - ultrasound KW - C60 fullerene KW - berberine KW - sonodynamic therapy KW - apoptosis Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18223 SN - 1999-4923 VL - 15 IS - 11 PB - MDPI ER - TY - JOUR A1 - Jurkovičová, Lucie A1 - Ben Ltaief, Ltaief A1 - Roos, Andreas Hult A1 - Hort, Ondřej A1 - Finke, Ondřej A1 - Albrecht, Martin A1 - Hoque, Ziaul A1 - Klimešová, Eva A1 - Sundaralingam, Akgash A1 - Antipenkov, Roman A1 - Grenfell, Annika A1 - Špaček, Alexandr A1 - Szuba, Wojciech A1 - Krikunova, Maria A1 - Mudrich, Marcel A1 - Nejdl, Jaroslav A1 - Andreasson, Jakob T1 - Bright continuously tunable vacuum ultraviolet source for ultrafast spectroscopy JF - Communications Physics N2 - Ultrafast electron dynamics drive phenomena such as photochemical reactions, catalysis, and light harvesting. To capture such dynamics in real-time, femtosecond to attosecond light sources are extensively used. However, an exact match between the excitation photon energy and a characteristic resonance is crucial. High-harmonic generation sources are advantageous in terms of pulse duration but limited in spectral tunability in the vacuum ultraviolet range. Here, we present a monochromatic femtosecond source continuously tunable around 21eV photon energy utilizing the second harmonic of an optical parametric chirped pulse amplification laser system to drive high-harmonic generation. The unique tunability of the source is verified in an experiment probing the interatomic Coulombic decay in doped He nanodroplets across the He absorption bands. Moreover, we achieved intensities sufficient for driving collective processes in multiply excited helium nanodroplets, which have been previously observed only at free electron lasers. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18462 SN - 2399-3650 VL - 7 PB - Nature Publishing Group ER - TY - JOUR A1 - Medina, Cristian A1 - Lægdsmand, Asbjørn Ørnemark A1 - Ben Ltaief, Ltaief A1 - Hoque, Ziaul A1 - Roos, Andreas Hult A1 - Jurkovičová, Lucie A1 - Hort, Ondřej A1 - Finke, Ondřej A1 - Albrecht, Martin A1 - Nejdl, Jaroslav A1 - Stienkemeier, Frank A1 - Andreasson, Jakob A1 - Klimešová, Eva A1 - Krikunova, Maria A1 - Heidenreich, Andreas A1 - Mudrich, Marcel T1 - Long-lasting XUV activation of helium nanodroplets for avalanche ionization JF - New Journal of Physics N2 - 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 ${\sim}200$ 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. KW - nanoplasma KW - helium nanodroplet KW - pump–probe spectroscopy KW - avalanche ionization KW - high-harmonic generation KW - extreme ultraviolet Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17701 VL - 25 PB - Institute of Physics (IOP) ER - TY - JOUR A1 - Schilling, Vincent A1 - Beyerlein, Peter A1 - Chien, Jeremy T1 - A Bioinformatics Analysis of Ovarian Cancer Data Using Machine Learning JF - Algorithms N2 - 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. KW - ovarian cancer KW - machine learning KW - SHAP KW - diagnostic biomarker KW - platinum resistance Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17751 VL - 16 IS - 7 PB - MDPI ER - TY - JOUR A1 - Prylutska, Svitlana A1 - Grebinyk, Anna A1 - Ponomarenko, Stanislav A1 - Gövem, Defne A1 - Chumachenko, Vasyl A1 - Kutsevol, Nataliya A1 - Petrovsky, Mykola A1 - Ritter, Uwe A1 - Frohme, Marcus A1 - Piosik, Jacek A1 - Prylutskyy, Yuriy T1 - Toxicity of Water-Soluble D-g-PNIPAM Polymers in a Complex with Chemotherapy Drugs and Mechanism of Their Action In Vitro JF - International Journal of Molecular Sciences N2 - The application of a biocompatible polymer nanocarrier can provide target delivery to tumor tissues, improved pharmacokinetics, controlled drug release, etc. Therefore, the proposed strategy was to use the water-soluble star-like copolymers with a Dextran core and Poly(N-isopropylacrylamide) grafts (D-g-PNIPAM) for conjugation with the widely used chemotherapy drugs in oncology–Cisplatin (Cis-Pt) and Doxorubicin (Dox). The molecular characteristics of the copolymer were received using size-exclusion chromatography. The physicochemical characterization of the D-g-PNIPAM-Cis-Pt (or Dox) nanosystem was conducted using dynamic light scattering and FTIR spectroscopy. Using traditional biochemical methods, a comparative analysis of the enhancement of the cytotoxic effect of free Cis-Pt and Dox in combination with D-g-PNIPAM copolymers was performed in cancer cells of the Lewis lung carcinoma line, which are both sensitive and resistant to Dox; in addition, the mechanism of their action in vitro was evaluated. KW - star-like copolymer KW - drug KW - Lewis lung carcinoma KW - cytotoxicity Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18790 SN - 1422-0067 VL - 25 IS - 5 PB - MDPI ER - TY - JOUR A1 - Fernholz, Yannick A1 - Ermakova, Tatiana A1 - Fabian, Benjamin A1 - Buxmann, Peter T1 - User-driven prioritization of ethical principles for artificial intelligence systems JF - Computers in Human Behavior: Artificial Humans N2 - Despite the progress of Artificial Intelligence (AI) and its contribution to the advancement of human society, the prioritization of ethical principles from the viewpoint of its users has not yet received much attention and empirical investigations. This is important to develop appropriate safeguards and increase the acceptance of AI-mediated technologies among all members of society. In this research, we collected, integrated, and prioritized ethical principles for AI systems with respect to their relevance in different real-life application scenarios. First, an overview of ethical principles for AI was systematically derived from various academic and non-academic sources. Our results clearly show that transparency, justice and fairness, non-maleficence, responsibility, and privacy are most frequently mentioned in this corpus of documents. Next, an empirical survey to systematically identify users’ priorities was designed and conducted in the context of selected scenarios: AI-mediated recruitment (human resources), predictive policing, autonomous vehicles, and hospital robots. We anticipate that the resulting ranking can serve as a valuable basis for formulating requirements for AI-mediated solutions and creating AI algorithms that prioritize user’s needs. Our target audience includes everyone who will be affected by AI systems, e.g., policy makers, algorithm developers, and system managers as our ranking clearly depicts user’s awareness regarding AI ethics. KW - artificial intelligence KW - ethics KW - ethical guidelines KW - trustworthy AI KW - requirements prioritization Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18509 SN - 2949-8821 VL - 2 IS - 1 PB - Elsevier ER - TY - JOUR A1 - Grytsenko, Kostyantyn A1 - Kolomzarov, Yurii A1 - Lytvyn, Peter A1 - Kondratenko, Olga A1 - Sopinskyy, Mykola A1 - Lebedyeva, Iryna A1 - Niemczyk, Agata A1 - Baranowska, Jolanta A1 - Moszyński, Dariusz A1 - Villringer, Claus A1 - Schrader, Sigurd T1 - Optical and Mechanical Properties of Thin PTFE Films, Deposited from a Gas Phase JF - Macromolecular Materials and Engineering N2 - Thin polytetrafluoroethylene (PTFE) films are produced by deposition from a gas phase by two methods: electron-enhanced vacuum deposition (EVD) and EVD + low-temperature plasma (LTP). Structure, morphology, and composition of the films are studied by IR spectroscopy, atomic force microscopy, and X-ray photoelectron spectroscopy. They are close to the structure of bulk PTFE. The roughness of the films’ surface is changed with gas pressure and LTP power variations. Films are transparent from UV to near-infrared regions. Refractive and extinction indices and their anisotropy are measured by spectral ellipsometry. They are tuned by variations of deposition conditions. Hardness and Young modulus of the films are increased if EVD + low power LTP is used for film deposition. Use of EVD + LTP also increases thermal stability of the films. Contact angle of the films corresponds to the bulk PTFE. The PTFE molecules oriented are preferentially in perpendicular direction to the substrate surface. KW - deposition in vacuum KW - multiphase structure formation KW - optical property KW - plasma KW - polytetrafluoroethylene thin film Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17587 VL - 308 IS - 6 PB - Wiley ER - TY - JOUR A1 - Dhiman, Rachit A1 - Miteff, Sofia A1 - Wang, Yuancheng A1 - Ma, Shih-Chi A1 - Amirikas, Ramila A1 - Fabian, Benjamin T1 - Artificial Intelligence and Sustainability—A Review JF - Analytics N2 - In recent decades, artificial intelligence has undergone transformative advancements, reshaping diverse sectors such as healthcare, transport, agriculture, energy, and the media. Despite the enthusiasm surrounding AI’s potential, concerns persist about its potential negative impacts, including substantial energy consumption and ethical challenges. This paper critically reviews the evolving landscape of AI sustainability, addressing economic, social, and environmental dimensions. The literature is systematically categorized into “Sustainability of AI” and “AI for Sustainability”, revealing a balanced perspective between the two. The study also identifies a notable trend towards holistic approaches, with a surge in publications and empirical studies since 2019, signaling the field’s maturity. Future research directions emphasize delving into the relatively under-explored economic dimension, aligning with the United Nations’ Sustainable Development Goals (SDGs), and addressing stakeholders’ influence. KW - artificial intelligence KW - AI KW - sustainability KW - systematic mapping study Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18651 SN - 2813-2203 VL - 3 IS - 1 SP - 140 EP - 164 PB - MDPI ER - TY - JOUR A1 - Gavrylenko, Svitlana A1 - Poltoratskyi, Vadym A1 - Nechyporenko, Alina T1 - Intrusion Detection Model Based on Improved Transformer JF - Advanced Information Systems N2 - The object of the study is the process of identifying the state of a computer network. The subject of the study are the methods of identifying the state of computer networks. The purpose of the paper is to improve the efficacy of intrusion detection in computer networks by developing a method based on transformer models. The results obtained. The work analyzes traditional machine learning algorithms, deep learning methods and considers the advantages of using transformer models. A method for detecting intrusions in computer networks is proposed. This method differs from known approaches by utilizing the Vision Transformer for Small-size Datasets (ViTSD) deep learning algorithm. The method incorporates procedures to reduce the correlation of input data and transform data into a specific format required for model operations. The developed methods are implemented using Python and the GOOGLE COLAB cloud service with Jupyter Notebook. Conclusions. Experiments confirmed the efficiency of the proposed method. The use of the developed method based on the ViTSD algorithm and the data preprocessing procedure increases the model's accuracy to 98.7%. This makes it possible to recommend it for practical use, in order to improve the accuracy of identifying the state of a computer system. KW - data preprocessing KW - machine learning KW - neural network KW - RNN KW - SVM KW - KNN KW - transformer model KW - vision transformer Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18750 SN - 2522-9052 VL - 8 IS - 1 SP - 94 EP - 99 PB - National Technical University Kharkiv Polytechnic Institute ER - TY - JOUR A1 - Radivoievych, Aleksandar A1 - Schnepel, Sophia A1 - Prylutska, Svitlana A1 - Ritter, Uwe A1 - Zolk, Oliver A1 - Frohme, Marcus A1 - Grebinyk, Anna T1 - From 2D to 3D In Vitro World: Sonodynamically-Induced Prooxidant Proapoptotic Effects of C60-Berberine Nanocomplex on Cancer Cells JF - Cancers N2 - 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. KW - berberine KW - C60 fullerene KW - apoptosis KW - sonodynamic therapy KW - ultrasound Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19438 VL - 16 IS - 18 ER - TY - JOUR A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Strelchuk, Yaroslav A1 - Omelchenko, Vladyslav A1 - Gargin, Vitaliy A1 - Ishchenko, Liudmyla A1 - Alekseeva, Victoriia T1 - Galvanic Skin Response and Photoplethysmography for Stress Recognition Using Machine Learning and Wearable Sensors JF - Applied Sciences N2 - This study investigates stress recognition using galvanic skin response (GSR) and photoplethysmography (PPG) data and machine learning, with a new focus on air raid sirens as a stressor. It bridges laboratory and real-world conditions and highlights the reliability of wearable sensors in dynamic, high-stress environments such as war and conflict zones. The study involves 37 participants (20 men, 17 women), aged 20–30, who had not previously heard an air raid siren. A 70 dB “S-40 electric siren” (400–450 Hz) was delivered via headphones. The protocol included a 5 min resting period, followed by 3 min “no-stress” phase, followed by 3 min “stress” phase, and finally a 3 min recovery phase. GSR and PPG signals were recorded using Shimmer 3 GSR+ sensors on the fingers and earlobes. A single session was conducted to avoid sensitization. The workflow includes signal preprocessing to remove artifacts, feature extraction, feature selection, and application of different machine learning models to classify the “stress “and “no-stress” states. As a result, the best classification performance was shown by the k-Nearest Neighbors model, achieving 0.833 accuracy. This was achieved by using a particular combination of heart rate variability (HRV) and GSR features, which can be considered as new indicators of siren-induced stress. KW - galvanic skin response KW - machine learning KW - photoplethysmography KW - stress Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19803 VL - 14 IS - 24 PB - MDPI ER - TY - JOUR A1 - Klimesova, Eva A1 - Kulyk, Olena A1 - Martin, Lucas Janos A1 - Schütte, Bernd A1 - Frühling, Ulrike A1 - Drescher, Markus A1 - Pan, Rui A1 - Stojanovic, Nikola A1 - Bermudez Macias, Ivette J. A1 - Düsterer, Stefan A1 - Andreasson, Jakob A1 - Wieland, Marek A1 - Krikunova, Maria T1 - Electron thermalization and ion acceleration in XUV-produced plasma from nanoparticles in He gas environment JF - New Journal of Physics N2 - We use intense femtosecond extreme ultraviolet (XUV) pulses with a photon energy of 92 eV from the FLASH free electron laser to irradiate substrate-free CsCl nanoparticles surrounded by a He gas with a number density of around 1015 cm−3. By simultaneously detecting electrons and energetic ions from the laser-irradiated micron-size target we study the acceleration mechanism of light ions at the microplasma-vacuum boundary as well as at the layer close to the nanoparticle surface. When the XUV pulse interacts with the gas alone, helium ions are accelerated to energies exceeding 100 eV. In the presence of the nanoparticle, light ions gain additional energy in the electric field around the ionized nanoparticle and their energy spectrum changes considerably. We present an electrostatic model to explain the ion acceleration mechanisms both with and without the nanoparticle and discuss the role of the gas environment in experiments. KW - light–matter interaction KW - free electron laser KW - nanoparticle injection KW - electron and ion spectroscopy Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19818 VL - 27 PB - Institute of Physics Publishing (IOP); Deutsche Physikalische Gesellschaft ER - TY - JOUR A1 - Nechyporenko, Alina A1 - Nazaryan, Rosana A1 - Semko, Galyna A1 - Lupyr, Andrii A1 - Yurevych, Nadiia A1 - Fomenko, Yuliia A1 - Kostiukov, Eduard A1 - Alekseeva, Victoriia T1 - Application of spiral computed tomography for determination of the minimal bone density variability of the maxillary sinus walls in chronic odontogenic and rhinogenic sinusitis JF - Ukrainian Journal of Radiology and Oncology N2 - Background. There are many questions regarding the peculiarities of the course of odontogenic maxillary sinusitis, the likelihood of complications and the correct dosage of load during dental implantation. Purpose – to identify changes in minimal bone density in chronic odontogenic maxillary sinusitis and to compare it with chronic rhinogenic catarrhal maxillary sinusitis and physiological state of maxillary sinus. Materials and Methods. Our study involved 10 patients with chronic odontogenic maxillary sinusitis, 10 patients with chronic maxillary non-polyposis sinusitis of rhinogenic etiology, combined with hyperplasia of the sinus mucosa up to 1 cm. The control group comprised 10 patients with physiological condition of maxillary sinuses. In all subjects minimal bone density of superior, medial and inferior walls of maxillary sinus was analyzed. Results. The study showed that the maximum in physiological conditions is the minimal density of the upper wall of the maxillary sinus, the minimum is the lower wall. The minimal density of the lower wall was shown to undergo a statistically significant reduction in chronic catarrhal maxillary sinusitis only by 2%, the upper by 5%, the medial by 4% compared with the intact sinus, but with the odontogenic nature of maxillary sinusitis, this figure was 31% in the lower wall, 27% in the medial region. Only the density of the upper wall of the maxillary sinus remained quite stable, it decreased relative to the physiological one only by 6%. Conclusions. Minimal physiological densitometric parameters of lower, medial and upper walls were calculated. The reduction of minimal density of bone tissue in the cases of rhinogenic chronic catarrhal maxillary sinusitis. In the cases of chronic odontogenic maxillary sinusitis, maximum significant decrease of minimal density of both lower and medial walls is determined. KW - bone density KW - computed tomography KW - maxillary sinus KW - odontogenic maxillary sinusitis Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19121 SN - 2708-7166 VL - 29 IS - 4 SP - 65 EP - 75 ER - TY - JOUR A1 - Dreyer, Christian A1 - Motoc, Dana Luca A1 - Koehler, Mathias A1 - Goldenberg, Leonid T1 - UV LED Curable Perfluoropolyether (PFPE)-Urethane Methacrylate Transparent Coatings for Photonic Applications: Synthesis and Characterization JF - Polymers N2 - 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. KW - perfluoropolyether (PFPE) KW - fluoroacrylate KW - UV LED curable coating KW - viscoelastic property KW - refractive index KW - thermo-optic coefficient KW - optical loss KW - dielectric property Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19139 VL - 15 IS - 14 PB - MDPI ER -