@misc{JungBrauneWaldecketal., author = {Jung, Conrad H. G. and Braune, Steffen and Waldeck, Peter and K{\"u}pper, Jan-Heiner and Petrick, Ingolf and Jung, Friedrich}, title = {Morphology and Growth of Arthrospira platensis during Cultivation in a Flat-Type Bioreactor}, series = {Life}, volume = {11}, journal = {Life}, number = {6}, issn = {2075-1729}, doi = {10.3390/life11060536}, abstract = {Arthrospira platensis (AP) is a cyanobacterium with a high economic value and is nowadays one of the most important industrially cultivated microalgae. Knowledge of its growth is essential for the understanding of its physiology and yield. The growth of AP biomass occurs through two mechanisms: (1) propagation by fragmentation of trichomes, and (2) the trichomes are extended by binary fission until they reach their mature status. These phases are visualized by live cell light and laser scanning microscopy, demonstrating the different phases of AP growth.}, language = {en} } @misc{JungWaldeckSykoraetal., author = {Jung, Conrad H. G. and Waldeck, Peter and Sykora, Shadi and Braune, Steffen and Petrick, Ingolf and K{\"u}pper, Jan-Heiner and Jung, Friedrich}, title = {Influence of Different Light-Emitting Diode Colors on Growth and Phycobiliprotein Generation of Arthrospira platensis}, series = {Life}, volume = {12}, journal = {Life}, number = {6}, issn = {2075-1729}, doi = {10.3390/life12060895}, language = {en} } @misc{JungBrauneJungetal., author = {Jung, Friedrich and Braune, Steffen and Jung, Conrad H. G. and Kr{\"u}ger-Genge, Anne and Waldeck, Peter and Petrick, Ingolf and K{\"u}pper, Jan-Heiner}, title = {Lipophilic and Hydrophilic Compounds from Arthrospira platensis and Its Effects on Tissue and Blood Cells—An Overview}, series = {Life}, volume = {12}, journal = {Life}, number = {10}, issn = {2075-1729}, doi = {10.3390/life12101497}, language = {en} } @misc{NeyretLeProvostBoesingetal., author = {Neyret, Margot and Le Provost, Ga{\"e}tane and Boesing, Andrea Larissa and Schneider, Florian D. and Baulechner, Dennis and Bergmann, Joana and Vries, Franciska T. de and Fiore-Donno, Anna Maria and Geisen, Stefan and Goldmann, Kezia and Merges, Anna and Saifutdinov, Ruslan A. and Simons, Nadja K. and Tobias, Joseph A. and Zaitsev, Andrey S. and Gossner, Martin M. and Jung, Kirsten and Kandeler, Ellen and Krauss, Jochen and Penone, Caterina and Schloter, Michael and Schulz, Stefanie and Staab, Michael and Wolters, Volkmar and Apostolakis, Antonios and Birkhofer, Klaus and Boch, Steffen and Boeddinghaus, Runa S. and Bolliger, Ralph and Bonkowski, Michael and Buscot, Fran{\c{c}}ois and Dumack, Kenneth and Fischer, Markus and Gan, Huei Ying and Heinze, Johannes and H{\"o}lzel, Norbert and John, Katharina and Klaus, Valentin H. and Kleinebecker, Till and Marhan, Sven and M{\"u}ller, J{\"o}rg and Renner, Swen C. and Rillig, Matthias C. and Schenk, No{\"e}lle V. and Sch{\"o}ning, Ingo and Schrumpf, Marion and Seibold, Sebastian and Socher, Stephanie A. and Solly, Emily F. and Teuscher, Miriam and Kleunen, Mark van and Wubet, Tesfaye and Manning, Peter}, title = {A slow-fast trait continuum at the whole community level in relation to land-use intensification}, series = {Nature Communications}, volume = {15}, journal = {Nature Communications}, number = {1}, issn = {2041-1723}, doi = {10.1038/s41467-024-45113-5}, abstract = {AbstractOrganismal functional strategies form a continuum from slow- to fast-growing organisms, in response to common drivers such as resource availability and disturbance. However, whether there is synchronisation of these strategies at the entire community level is unclear. Here, we combine trait data for 2800 above- and belowground taxa from 14 trophic guilds spanning a disturbance and resource availability gradient in German grasslands. The results indicate that most guilds consistently respond to these drivers through both direct and trophically mediated effects, resulting in a 'slow-fast' axis at the level of the entire community. Using 15 indicators of carbon and nutrient fluxes, biomass production and decomposition, we also show that fast trait communities are associated with faster rates of ecosystem functioning. These findings demonstrate that 'slow' and 'fast' strategies can be manifested at the level of whole communities, opening new avenues of ecosystem-level functional classification.}, language = {en} } @misc{HaddadiEsfahaniDykaOrtmannetal., author = {Haddadi Esfahani, Ali and Dyka, Zoya and Ortmann, Steffen and Langend{\"o}rfer, Peter}, title = {Impact of Data Preparation in Freezing of Gait Detection using Feature-Less Recurrent Neural Network}, series = {IEEE Access}, journal = {IEEE Access}, number = {9}, issn = {2169-3536}, doi = {10.1109/ACCESS.2021.3117543}, pages = {138120 -- 138131}, language = {en} } @misc{JungWaldeckPetricketal., author = {Jung, Conrad H. G. and Waldeck, Peter and Petrick, Ingolf and Akinwunmi, Mosunmol and Braune, Steffen and Jung, Friedrich and K{\"u}pper, Jan-Heiner}, title = {Light-induced changes in the morphology and fluorescence of Arthrospira platensis}, series = {Clinical Hemorheology and Microcirculation}, volume = {9}, journal = {Clinical Hemorheology and Microcirculation}, number = {1}, issn = {1386-0291}, doi = {10.3233/JCB-239001}, pages = {71 -- 77}, abstract = {The cyanobacterium Arthrospira platensis is a well-known source of bioactive substances. Growth and the generation of bioactive ingredients of Arthrospira platensis depend mainly on the quantity of light in a controlled environment. Photoinhibition is a time, nutrient, and light intensity-dependent decrease in photosynthetic efficiency. However, too strong illumination can induce two harmful effects: (1) photoinhibition as a reduction in photosynthetic rate and (2) photooxidation which can have lethal effects on the cells, and which can lead to total loss of the culture. The results of this microscopical study demonstrate, that under the procedures described and very high photon flux den-sities, not only a decrease in the photosynthetic efficiency but beyond, also destruction of Arthrospira platensis can occur.}, language = {en} } @misc{NghinaunyeWaldeckJungetal., author = {Nghinaunye, Theopolina and Waldeck, Peter and Jung, Conrad H. G. and K{\"u}pper, Jan-Heiner and Jung, Friedrich and Braune, Steffen}, title = {Response of Arthrospira platensis to different temperatures regarding growth and biochemical composition}, series = {Clinical Hemorheology and Microcirculation}, journal = {Clinical Hemorheology and Microcirculation}, issn = {1386-0291}, doi = {10.3233/CH-238104}, pages = {1 -- 7}, abstract = {The growth of cyanobacteria can vary considerably depending on the ambient temperature. Since the optimal growth temperature for Arthrospira platensis (strain SAG21.99) is not yet known, this was investigated in the present study. The study revealed that a process temperature of 30°C seems to be optimal for the Arthrospira strain SAG21.99 cultivation in terms of a maximum biomass productivity. This was also true for the phycocyanin content which was at 30°C significantly higher than at 20 or 40°C.}, language = {en} } @misc{JungNghinaunyeWaldecketal., author = {Jung, Conrad H. G. and Nghinaunye, Theopolina and Waldeck, Peter and Braune, Steffen and Petrick, Ingolf and K{\"u}pper, Jan-Heiner and Jung, Friedrich}, title = {Decarbonization of Arthrospira platensis production by using atmospheric CO2 as an exclusive carbon source: proof of principle}, series = {International Journal of Environmental Science and Technology}, journal = {International Journal of Environmental Science and Technology}, issn = {1735-2630}, doi = {10.1007/s13762-023-05215-x}, abstract = {There is an urgent need to develop technologies for removing CO2 from the atmosphere to combat climate change. Microalgae and cyanobacteria, such as Arthrospira platensis (AP), have shown promise due to their high photoautotrophic biomass production. Conventional AP culture media are supplemented with high concentrations of NaHCO3 since AP utilizes as a carbon source. These culture conditions result in significant amounts of CO2 escaping into the atmosphere, instead of being sequestered during cultivation. Here, we investigated whether ambient air (0.042\% CO2) can be used for growing AP in a culture medium lacking a fossil-based carbon source. AP was cultured in 2 L glass bioreactors containing: (1) Zarrouk medium with 16.8 g/L NaHCO3 and aeration with 0.236 vvm air with 2\% CO2 ("NaHCO3/CO2-based") to compensate carbon loss due to CO2 outgassing, and (2) Zarrouk medium without NaHCO3 and a gas flow with ambient air (0.926 vvm) as the only carbon source ("air-based"). The air-based production resulted in the biofixation of 3.78 gCO2/L during the linear growth phase. With NaHCO3/CO2-based production, a comparable amount of 3.42 gCO2/L was obtained while 659.12 g of CO2 was released into the atmosphere. Total protein, phycocyanin, chlorophyll-a, and carotenoids were present in similar or increased amounts in AP produced by the air-based method. We concluded that cultivation of AP with Zarrouk medium lacking NaHCO3 but using ambient air with atmospheric CO2 as the only carbon source is possible without reducing productivity. These results improve our understanding of how atmospheric CO2 can be reduced by culturing AP.}, language = {en} } @misc{PidvalnyiKostenkoSudakovetal., author = {Pidvalnyi, Illia and Kostenko, Anna and Sudakov, Oleksandr and Isaev, Dmytro and Maximyuk, Oleksandr and Krishtal, Oleg and Iegorova, Olena and Kabin, Ievgen and Dyka, Zoya and Ortmann, Steffen and Langend{\"o}rfer, Peter}, title = {Classification of epileptic seizures by simple machine learning techniques : application to animals' electroencephalography signals}, series = {IEEE access}, volume = {13}, journal = {IEEE access}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {Piscataway, NJ}, issn = {2169-3536}, doi = {10.1109/ACCESS.2025.3527866}, pages = {8951 -- 8962}, abstract = {Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. Small electronic devices capable of doing that will improve the quality of life for epilepsy patients while also open new opportunities for pharmacological intervention. This paper presents a novel approach using machine learning techniques to detect seizures onset using intracranial electroencephalography (EEG) signals. The proposed approach was tested on intracranial EEG data recorded in rats with pilocarpine model of temporal lobe epilepsy. A principal component analysis was applied for feature selection before using a support vector machine for the detection of seizures. Hjorth's parameters and Daubechies discrete wavelet transform coefficients were found to be the most informative features of EEG data. We found that the support vector machine approach had a classification sensitivity of 90\% and a specificity of 74\% for detecting ictal episodes. Changing the epoch parameter from one to twenty-one seconds results in changing the redistribution of principal components' values to 10\% but does not affect the classification result. Support vector machines are accessible and convenient methods for classification that have achieved promising classification quality, and are rather lightweight compared to other machine learning methods. So we suggest their future use in mobile devices for early epileptic seizure and preictal episode detection.}, language = {en} }