@misc{WiegnerVolkerMainzetal.2022,
  author    = {Wiegner, Jonas and Volker, Hanno and Mainz, Fabian and Backes, Andreas and L{\"o}ken, Michael and H{\"u}ning, Felix},
  title     = {Wiegand-Effect-Powered Wireless IT Sensor Node},
  year      = {2022},
  abstract  = {With the growing interest in small distributed sensors for the "Internet of Things", more attention is being paid to energy harvesting techologies. Reducing or eliminating the need for external power sources or batteries make devices more self-sufficient, more reliable, and reduces maintenance requirements. The Wiegand effect is a proven technology for harvesting small amounts of electrical power from mechanical motion.},
  language  = {en}
}
@techreport{GhinaiyaLehmannGoettsche2022,
  author    = {Ghinaiya, Jagdishkumar and Lehmann, Thomas Martin and G{\"o}ttsche, Joachim},
  title     = {LOCAL+ - ein kreislauff{\"a}higer Holzmodulbau mit nachhaltigem Energie- und Wohnraumkonzept},
  series = {Bauphysik},
  volume    = {44},
  journal   = {Bauphysik},
  number    = {3},
  publisher = {Ernst \& Sohn},
  address   = {Hoboken},
  issn      = {0171-5445 (Print)},
  doi       = {10.1002/bapi.202200010},
  pages     = {136 -- 142},
  year      = {2022},
  abstract  = {Mit dem Beitrag des Teams der FH Aachen zum SDE 21/22 wird im Projekt LOCAL+ ein kreislauff{\"a}higer Holzmodulbau mit einem innovativen Wohnraumkonzept geplant und umgesetzt. Ziel dieses Konzeptes ist die Verringerung des stetig steigenden Wohnfl{\"a}chenbedarfs durch ein Raum-in-Raum Konzept. Geb{\"a}udetechnisch wird in dem Projekt nicht nur das Einzelgeb{\"a}ude betrachtet, sondern unter Ber{\"u}cksichtigung des Geb{\"a}udebestandes wird f{\"u}r das Quartier ein innovatives und nachhaltiges Energiekonzept entwickelt. Ein zentrales Wasserstoffsystem ist f{\"u}r ein Quartier geplant, um den Stromverbrauch aus dem Netz im Winter zu reduzieren. Zentraler Bestandteil des TGA-Konzepts ist ein unterirdischer Eisspeicher, eine PVT und eine W{\"a}rmepumpe mit intelligenter Regelstrategie. Ein Teil des neuen Geb{\"a}udes (Design Challenge DC) wird in Wuppertal als Hausdemonstrationseinheit (HDU) pr{\"a}sentiert. Eine hygrothermische Simulation der HDU wurde mit der WUFI-Software durchgef{\"u}hrt. Da im Innenraum Lehmmodule und -platten als Feuchtigkeitspuffer verwendet werden, spielen die Themen Feuchtigkeit, Holzf{\"a}ule und Schimmelwachstum eine wichtige Rolle.},
  language  = {de}
}
@article{BernauKnoedlerEmontsetal.2022,
  author    = {Bernau, C. R. and Kn{\"o}dler, Matthias and Emonts, Jessica and J{\"a}pel, Ronald Colin and Buyel, Johannes Felix},
  title     = {The use of predictive models to develop chromatography-based purification processes},
  series = {Frontiers in Bioengineering and Biotechnology},
  journal   = {Frontiers in Bioengineering and Biotechnology},
  number    = {10},
  publisher = {Frontiers Media},
  address   = {Lausanne},
  issn      = {2296-4185 (online-ressource)},
  doi       = {10.3389/fbioe.2022.1009102},
  pages     = {25 Seiten},
  year      = {2022},
  abstract  = {Chromatography is the workhorse of biopharmaceutical downstream processing because it can selectively enrich a target product while removing impurities from complex feed streams. This is achieved by exploiting differences in molecular properties, such as size, charge and hydrophobicity (alone or in different combinations). Accordingly, many parameters must be tested during process development in order to maximize product purity and recovery, including resin and ligand types, conductivity, pH, gradient profiles, and the sequence of separation operations. The number of possible experimental conditions quickly becomes unmanageable. Although the range of suitable conditions can be narrowed based on experience, the time and cost of the work remain high even when using high-throughput laboratory automation. In contrast, chromatography modeling using inexpensive, parallelized computer hardware can provide expert knowledge, predicting conditions that achieve high purity and efficient recovery. The prediction of suitable conditions in silico reduces the number of empirical tests required and provides in-depth process understanding, which is recommended by regulatory authorities. In this article, we discuss the benefits and specific challenges of chromatography modeling. We describe the experimental characterization of chromatography devices and settings prior to modeling, such as the determination of column porosity. We also consider the challenges that must be overcome when models are set up and calibrated, including the cross-validation and verification of data-driven and hybrid (combined data-driven and mechanistic) models. This review will therefore support researchers intending to establish a chromatography modeling workflow in their laboratory.},
  language  = {en}
}
@article{BandlitzNakhoulKotliar2022,
  author    = {Bandlitz, Stefan and Nakhoul, Makram and Kotliar, Konstantin},
  title     = {Daily variations of corneal white-to-white diameter measured with different methods},
  series = {Clinical and experimental optometry},
  journal   = {Clinical and experimental optometry},
  number    = {14},
  publisher = {Taylor \& Francis},
  address   = {London},
  issn      = {0816-4622},
  doi       = {10.2147/OPTO.S360651},
  pages     = {173 -- 181},
  year      = {2022},
  abstract  = {Purpose: A precise determination of the corneal diameter is essential for the diagnosis of various ocular diseases, cataract and refractive surgery as well as for the selection and fitting of contact lenses. The aim of this study was to investigate the agreement between two automatic and one manual method for corneal diameter determination and to evaluate possible diurnal variations in corneal diameter. Patients and Methods: Horizontal white-to-white corneal diameter of 20 volunteers was measured at three different fixed times of a day with three methods: Scheimpflug method (Pentacam HR, Oculus), placido based topography (Keratograph 5M, Oculus) and manual method using an image analysis software at a slitlamp (BQ900, Haag-Streit). Results: The two-factorial analysis of variance could not show a significant effect of the different instruments (p = 0.117), the different time points (p = 0.506) and the interaction between instrument and time point (p = 0.182). Very good repeatability (intraclass correlation coefficient ICC, quartile coefficient of dispersion QCD) was found for all three devices. However, manual slitlamp measurements showed a higher QCD than the automatic measurements with the Keratograph 5M and the Pentacam HR at all measurement times. Conclusion: The manual and automated methods used in the study to determine corneal diameter showed good agreement and repeatability. No significant diurnal variations of corneal diameter were observed during the period of time studied.},
  language  = {en}
}
@misc{FeldmannFranckeEspeetal.2022,
  author    = {Feldmann, Marco and Francke, Gero and Espe, Clemes and Chen, Qian and Baader, Fabian and Boxberg, Marc S. and Sustrate, Anna-Marie and Kowalski, Julia and Dachwald, Bernd},
  title     = {Performance data of an ice-melting probe from field tests in two different ice environments},
  doi       = {10.5281/zenodo.6094866},
  year      = {2022},
  abstract  = {This dataset was acquired at field tests of the steerable ice-melting probe "EnEx-IceMole" (Dachwald et al., 2014). A field test in summer 2014 was used to test the melting probe's system, before the probe was shipped to Antarctica, where, in international cooperation with the MIDGE project, the objective of a sampling mission in the southern hemisphere summer 2014/2015 was to return a clean englacial sample from the subglacial brine reservoir supplying the Blood Falls at Taylor Glacier (Badgeley et al., 2017, German et al., 2021). The standardized log-files generated by the IceMole during melting operation include more than 100 operational parameters, housekeeping information, and error states, which are reported to the base station in intervals of 4 s. Occasional packet loss in data transmission resulted in a sparse number of increased sampling intervals, which where compensated for by linear interpolation during post processing. The presented dataset is based on a subset of this data: The penetration distance is calculated based on the ice screw drive encoder signal, providing the rate of rotation, and the screw's thread pitch. The melting speed is calculated from the same data, assuming the rate of rotation to be constant over one sampling interval. The contact force is calculated from the longitudinal screw force, which es measured by strain gauges. The used heating power is calculated from binary states of all heating elements, which can only be either switched on or off. Temperatures are measured at each heating element and averaged for three zones (melting head, side-wall heaters and back-plate heaters).},
  language  = {en}
}