@misc{13327,
  abstract     = {{The aim of this study was to investigate if vibroacoustic methods may be used for the non-destructive determination of beef during its aging process. The vibroacoustic method was based on the observation of mechanical changes in the meat during the aging process and was compared with reference data obtained by Warner-Bratzler shear force measurement as well as sensory testing of the tenderness using a ten-part scale. To evaluate the mechanical properties, transfer functions were used representing the time dependency of the signal and thus the viscoelastic behaviour. In this study, a total of 31 roastbeef samples from 16 different young bulls and two older cows were examined from day of slaughter to day 21 of cold storage with regard to their tenderness. For this purpose, vibroacoustic measurements were carried out on the unprocessed/raw meat at intervals of 1–3 days. The reference measurements using sensor technology and Warner-Bratzler shear force measurement were carried out on the first (day of slaughter) and last (21st day) day on slices of roast beef cooked with saturated steam. In the results of all three methods, the shear force measurement, the sensory test and the vibroacoustic method, showed that roastbeef from the same animal but different halves produced different results. Basically, it is possible to predict the tenderness of roastbeef by taking measurements at the beginning of the maturing process for the end of the maturing period using vibroacoustic methods: Data analysis led to a trend function that roughly reflects the actual tenderness, which is generally higher than the real tenderness represented by the shear-force measurement. In order to obtain a better resolution for recording the mechanical changes during the aging process, the measurements should be carried out at shorter intervals.}},
  author       = {{Tholen, Janna and Gohe, Jan and Dörksen, Helene and Kiesel, Theo and Upmann, Matthias}},
  booktitle    = {{Food Physics}},
  issn         = {{2950-0699}},
  keywords     = {{Warner-Bratzler shear force, Vibroacoustic methods, Non-destructively measurement, Viscoelastic meat}},
  number       = {{9}},
  publisher    = {{Elsevier BV}},
  title        = {{{Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals}}},
  doi          = {{10.1016/j.foodp.2024.100017}},
  volume       = {{1}},
  year         = {{2024}},
}

@misc{12897,
  abstract     = {{Glove occlusion might enhance skin sensitivity to a subsequent detergent challenge (occlusion effect). Thus, some skin protection creams (PC) claim to protect against this effect of occlusion, and are recommended to be used before wearing liquid‐proof gloves.</jats:p></jats:sec><jats:sec><jats:title>Objectives</jats:title><jats:p>To evaluate the effect of PC applied prior to glove occlusion on the ‘occlusion effect’—refers to increased susceptibility of the skin to a model detergent.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>One hundred and eleven volunteers were enrolled in a single‐blind, randomized study. Seven PCs were applied before glove occlusion over 7 days (D1–D7). After sodium lauryl sulphate (SLS) challenge, we compared the irritation between the areas treated with PC and occlusion alone. Clinical scoring and bioengineering methods (capacitance, transepidermal water loss [TEWL], and colourimetry [erythema]) were used to quantify the irritant reactions.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>After 1 week of occlusion and PC application, we did not observe significant changes in TEWL, nor in erythema, whereas skin hydration raised in three cream‐treated areas. On day 10, after a challenge with SLS, some products significantly aggravated the skin irritation as compared to occlusion alone.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The ‘occlusion effect’—shown as higher skin susceptibility to a model detergent—was not mitigated by PCs when applied prior to glove occlusion. On the contrary, some PCs might have negative effects on skin barrier function and augment such sensitivity.}},
  author       = {{Gina, Michal and Wichert, Katharina and Kutz, Gerd and Brüning, Thomas and Fartasch, Manigé}},
  booktitle    = {{Contact dermatitis : environmental and occupational dermatitis}},
  issn         = {{1600-0536}},
  keywords     = {{barrier disturbance, glove occlusion, irritant contact dermatitis, irritation, non-invasive measuring methods, occupational contact dermatitis, skin barrier disturbance, skin protective cream, wet work.}},
  number       = {{5}},
  pages        = {{372--382}},
  publisher    = {{Wiley}},
  title        = {{{Applying skin protective cream and the wearing of gloves?—A randomized controlled experimental study}}},
  doi          = {{10.1111/cod.14287}},
  volume       = {{88}},
  year         = {{2023}},
}

@misc{12808,
  abstract     = {{Along with the constantly increasing complexity of industrial automation systems, machine learning methods have been widely applied to detecting abnormal states in such systems. Anomaly detection tasks can be treated as one-class classification problems in machine learning. Geometric methods can give an intuitive solution to such problems. In this paper, we propose a new geometric structure, oriented non-convex hulls, to represent decision boundaries used for one-class classification. Based on this geometric structure, a novel boundary based one-class classification algorithm is developed to solve the anomaly detection problem. Compared with traditional boundary-based approaches such as convex hulls based methods and one-class support vector machines, the proposed approach can better reflect the true geometry of target data and needs little effort for parameter tuning. The effectiveness of this approach is evaluated with artificial and real world data sets to solve the anomaly detection problem in Cyber-Physical-Production-Systems (CPPS). The evaluation results also show that the proposed approach has higher generality than the used baseline algorithms.}},
  author       = {{Li, Peng and Niggemann, Oliver}},
  booktitle    = {{Engineering Applications of Artificial Intelligence}},
  issn         = {{1873-6769}},
  keywords     = {{One-class classification, n-dimensional oriented non-convex hull, Anomaly detection, CPPS}},
  publisher    = {{Elsevier BV}},
  title        = {{{Non-convex hull based anomaly detection in CPPS}}},
  doi          = {{10.1016/j.engappai.2019.103301}},
  volume       = {{87}},
  year         = {{2019}},
}

@misc{7894,
  author       = {{Stawinoga, Martin}},
  booktitle    = {{Umwelt-Wirtschafts-Forum : uwf ; die betriebswirtschaftlich-ökologisch orientierte Fachzeitschrift }},
  issn         = {{1432-2293 }},
  keywords     = {{Directive 2014/95/EU     CSR-Directive-Implementation-Act     Regulation     Non-financial reporting     Assurance of qualitative sustainability disclosures}},
  number       = {{25}},
  pages        = {{ 213–227}},
  publisher    = {{Springer Spektrum }},
  title        = {{{Die Richtlinie 2014/95/EU und das CSR-Richtlinie-Umsetzungsgesetz – Eine normative Analyse des Transformationsprozesses sowie daraus resultierender Implikationen für die Rechnungslegungs- und Prüfungspraxis}}},
  doi          = {{https://doi.org/10.1007/s00550-017-0463-6}},
  year         = {{2017}},
}

@misc{791,
  author       = {{Nowoczin, Nora}},
  keywords     = {{Dokumentarfilmproduktion, Fiktional, Non-Fiktional, Spielfilmproduktion}},
  pages        = {{64}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Non-Fiktional vs. Fiktional: Grundlegende Produktionsunterschiede zwischen Dokumentarfilmen und Spielfilmen}}},
  year         = {{2017}},
}

