@article{VaherTammSalusetal.2023, author = {Vaher, Ivi and Tamm, Anna-Liisa and Salus, Marit and Reisberg, Kirkke and V{\"a}hi, Aleksandra and Pallon, Helena and Paeste, Andra and Pirk, B{\"a}thel-Betty and Merila, Margus and Schrader, Thomas}, title = {Effectiveness of massage chair and classic massage in recovery from physical exertion: a pilot study}, series = {Journal of Novel Physiotherapy and Rehabilitation}, volume = {2023}, journal = {Journal of Novel Physiotherapy and Rehabilitation}, number = {7}, publisher = {HSPI}, doi = {10.29328/journal.jnpr.1001050}, pages = {8 -- 15}, year = {2023}, abstract = {Quick and cost-effective recovery is foundational to high-quality training and good competition results in today's sports. The aim of the research was to elucidate the effects of hand and massage chair massage on the biomechanical parameters of muscles of lower limbs and back, indicators of Pain Pressure Thresholds (PPT) and subjectively perceived fatigue. A total of 32 female recreational athletes (18 - 50 years old) were assigned to a hand massage, massage chair, or lying down the group. They were measured for muscle biomechanical properties (MyotonPro), PPT (Wagner Instruments) and subjectively perceived fatigue (VAS scale) before and after fatigue tests and treatment. The recovery procedure and subjective satisfaction with treatment were rated on a Likert scale. Changes in the median value of m. rectus femoris and m. gastrocnemius stiffness with treatment showed that hand massage could be more effective in reducing stiffness, as compared to chair massage. Hand massage may have benefits for recovery from physical exertion, but due to the individuality of subjects, detailed methodological studies are needed to evaluate the effects of massage chair vs. hand massage.}, language = {en} } @misc{OPUS4-3250, title = {Jahrbuch 2023/2024 der Absolventinnen und Absolventen}, editor = {Wilms, Andreas}, publisher = {Technische Hochschule Brandenburg}, address = {Brandenburg an der Havel}, organization = {Technische Hochschule Brandenburg}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-32507}, pages = {92}, year = {2024}, language = {de} } @misc{OPUS4-3254, title = {Forschungs- und Transferbericht der Technischen Hochschule Brandenburg 2022/23}, editor = {Wilms, Andreas and Hirsch, S{\"o}ren}, publisher = {Technische Hochschule Brandenburg}, address = {Brandenburg an der Havel}, organization = {Technische Hochschule Brandenburg}, issn = {1861-3462}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-32541}, pages = {98}, year = {2024}, language = {de} } @unpublished{TranconyWidemannLepper, author = {Tranc{\´o}n y Widemann, Baltasar and Lepper, Markus}, title = {A theory of conversion relations for prefixed units of measure}, doi = {10.48550/arXiv.2212.11580}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-31984}, pages = {1 -- 45}, abstract = {Units of measure with prefixes and conversion rules are given a formal semantic model in terms of categorial group theory. Basic structures and both natural and contingent semantic operations are defined. Conversion rules are represented as a class of ternary relations with both group-like and category-like properties. A hierarchy of subclasses is explored, each satisfying stronger useful algebraic properties than the preceding, culminating in a direct efficient conversion-by-rewriting algorithm.}, language = {en} } @misc{OPUS4-3251, title = {Jahrbuch 2022/2023 der Absolventinnen und Absolventen}, editor = {Wilms, Andreas}, publisher = {Technische Hochschule Brandenburg}, address = {Brandenburg an der Havel}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-32514}, pages = {80}, year = {2023}, language = {de} } @inproceedings{TetzlaffPurohitSpalleketal.2023, author = {Tetzlaff, Laura and Purohit, Anne-Maria and Spallek, Jacob and Holmberg, Christine and Schrader, Thomas}, title = {Evaluating Interoperability in German Critical Incident Reporting Systems}, series = {German Medical Data Sciences 2023 - Science. Close to People. Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023, Heilbronn, Germany}, booktitle = {German Medical Data Sciences 2023 - Science. Close to People. Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023, Heilbronn, Germany}, publisher = {IOS Press}, doi = {10.3233/SHTI230722}, pages = {249 -- 257}, year = {2023}, abstract = {In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness.}, language = {en} } @inproceedings{PepeBuchholzLasenby2024, author = {Pepe, Alberto and Buchholz, Sven and Lasenby, Joan}, title = {Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction}, series = {Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen}, booktitle = {Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen}, publisher = {PMLR}, pages = {1 -- 7}, year = {2024}, abstract = {We employ Clifford Group Equivariant Neural Network (CGENN) layers to predict protein coordinates in a Protein Structure Prediction (PSP) pipeline. PSP is the estimation of the 3D structure of a protein, generally through deep learning architectures. Information about the geometry of the protein chain has been proven to be crucial for accurate predictions of 3D structures. However, this information is usually flattened as machine learning features that are not representative of the geometric nature of the problem. Leveraging recent advances in geometric deep learning, we redesign the 3D projector part of a PSP architecture with the addition of CGENN layers . CGENNs can achieve better generalization and robustness when dealing with data that show rotational or translational invariance such as protein coordinates, which are independent of the chosen reference frame. CGENNs inputs, outputs, weights and biases are objects in the Geometric Algebra of 3D Euclidean space, i.e. G3,0,0, and hence are interpretable from a geometrical perspective. We test 6 approaches to PSP and show that CGENN layers increase the accuracy in term of GDT scores by up to 2.1\\%, with fewer trainable parameters compared to linear layers and give a clear geometric interpretation of their outputs.}, language = {en} } @inproceedings{MarkgrafDietrichMuelleretal.2023, author = {Markgraf, Klaus and Dietrich, Benjamin and M{\"u}ller, Katja and Flassig, Robert and Flassig, Peter}, title = {FINEconcepts - Wissenstransfer und Energiesystemoptimierung mithilfe des digitalen Zwillings}, series = {NWK, HS Harz, 2023}, booktitle = {NWK, HS Harz, 2023}, publisher = {HS Harz}, pages = {428 -- 435}, year = {2023}, abstract = {Climate change, but also geopolitical circumstances, are moving topics such as energy efficiency and renewable energies more and more into the focus of the population, economy , and politics. As a result, the will to optimize new and existing energy systems extends from private individuals to companies and even entire communities. This work describes the development and usage of a new software called FINEconcepts which creates a digital twin of an energy system. This virtual model can then be used to optimize the energy system based on annual costs, CO2 emissions or other relevant criteria such as self-sufficiency. Because all system components, which include renewable technologies as well, can be added as a building block with chosen but changeable parameters, the software allows the user to explore and awaken interest and understanding of technologies that were previously considered too costly, irrelevant, or unrealistic. Implemented projects in small and large companies as well as in residential areas did prove, that the usage of FINEconcepts leads not only to more efficient energy systems by increasing the use of renewable energy, but also increased knowledge and understanding in terms of energy. Besides economics, ecology and security, understanding is an equally important factor in achieving a sustainable energy supply.}, language = {en} } @article{WangHarthPuzyrevetal.2022, author = {Wang, Jing and Harth, Kirsten and Puzyrev, Dmitry and Stannarius, Ralf}, title = {The effect of obstacles near a silo outlet on the discharge of soft spheres}, series = {New Journal of Physics}, volume = {24}, journal = {New Journal of Physics}, publisher = {IOP}, doi = {10.1088/1367-2630/ac8bea}, year = {2022}, language = {en} } @techreport{KybaArroyoDegenetal.2024, author = {Kyba, Christopher C.M. and Arroyo, Hector Linares and Degen, Tobias and Abascal, Angela and Simoneau, Alexandre and Kuffer, Monika and H{\"o}lker, Franz and Aub{\´e}, Martin and Walczak, Ken and Espey, Brian R. and de Miguel, Alejandro S{\´a}nchez and Jechow, Andreas and Gyuk, Geza}, title = {Night Watch Mission Description Document}, publisher = {GFZ German Research Centre for Geosciences}, address = {Potsdam}, doi = {10.48440/gfz.b103-24052}, pages = {1 -- 156}, year = {2024}, abstract = {This is the Mission Description Document (MDD) for a future Earth observation satellite mission addressing visible band observations of nighttime lights. The mission driving science applications are for the remote sensing of electricity, energy, and ecological impacts via the observation of artificial light. The MDD covers the mission requirements justification from the high-level scientific objectives and societal benefits to measurement requirements at product level 1b, i.e. radiances at the top of the atmosphere. In providing justification for the individual requirements and their traceability to scientific objectives and societal challenges, we address Scientific Readiness Levels 1 to 3. The MDD is the outcome of the European Space Agency New Earth Observation Mission Ideas project "Night Watch". The Task Reports (TR) from the project are appended to the MDD, and are authored by the same group as the MDD itself.}, language = {en} }