@book{48406, author = {{Wessel, Lena and Prediger, S. and Stein, A. and Wijers, M. and Jonker, V.}}, publisher = {{DZLM}}, title = {{{Language for Mathematics in Vocational Contexts. Handbook for teachers and facilitators}}}, year = {{2020}}, } @article{48432, author = {{Wille, Manuel}}, journal = {{Wörterbücher zur Sprach- und Kommunikationswissenschaft (WSK) Online, edited by Stefan J. Schierholz.}}, publisher = {{Berlin, Boston: De Gruyter}}, title = {{{Pressesprache}}}, year = {{2020}}, } @article{48431, author = {{Wille, Manuel}}, journal = {{Wörterbücher zur Sprach- und Kommunikationswissenschaft (WSK) Online, edited by Stefan J. Schierholz.}}, publisher = {{ Berlin, Boston: De Gruyter}}, title = {{{Zeitungsstil}}}, year = {{2020}}, } @article{48466, author = {{Jacke, Christoph}}, journal = {{Die Aufhebung}}, title = {{{So Far...From Now On # 6. }}}, year = {{2020}}, } @inproceedings{20505, abstract = {{Speech activity detection (SAD), which often rests on the fact that the noise is "more'' stationary than speech, is particularly challenging in non-stationary environments, because the time variance of the acoustic scene makes it difficult to discriminate speech from noise. We propose two approaches to SAD, where one is based on statistical signal processing, while the other utilizes neural networks. The former employs sophisticated signal processing to track the noise and speech energies and is meant to support the case for a resource efficient, unsupervised signal processing approach. The latter introduces a recurrent network layer that operates on short segments of the input speech to do temporal smoothing in the presence of non-stationary noise. The systems are tested on the Fearless Steps challenge database, which consists of the transmission data from the Apollo-11 space mission. The statistical SAD achieves comparable detection performance to earlier proposed neural network based SADs, while the neural network based approach leads to a decision cost function of 1.07% on the evaluation set of the 2020 Fearless Steps Challenge, which sets a new state of the art.}}, author = {{Heitkaemper, Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}}, booktitle = {{INTERSPEECH 2020 Virtual Shanghai China}}, keywords = {{voice activity detection, speech activity detection, neural network, statistical speech processing}}, title = {{{Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments}}}, year = {{2020}}, } @article{48524, author = {{Hubner-Benz, Sylvia}}, issn = {{1742-5360}}, journal = {{International Journal of Entrepreneurial Venturing}}, keywords = {{Management of Technology and Innovation, Strategy and Management, Business and International Management}}, number = {{2}}, publisher = {{Inderscience Publishers}}, title = {{{When entrepreneurs become leaders: how entrepreneurs deal with people management}}}, doi = {{10.1504/ijev.2020.105571}}, volume = {{12}}, year = {{2020}}, } @article{48521, author = {{Rudic, Biljana and Hubner-Benz, Sylvia and Baum, Matthias}}, issn = {{2352-6734}}, journal = {{Journal of Business Venturing Insights}}, keywords = {{Management of Technology and Innovation, Business and International Management}}, publisher = {{Elsevier BV}}, title = {{{Hustlers, hipsters and hackers: Potential employees’ stereotypes of entrepreneurial leaders}}}, doi = {{10.1016/j.jbvi.2020.e00220}}, volume = {{15}}, year = {{2020}}, } @article{48523, author = {{Gales, Alina and Hubner-Benz, Sylvia}}, issn = {{1664-1078}}, journal = {{Frontiers in Psychology}}, keywords = {{General Psychology}}, publisher = {{Frontiers Media SA}}, title = {{{Perceptions of the Self Versus One’s Own Social Group: (Mis)conceptions of Older Women’s Interest in and Competence With Technology}}}, doi = {{10.3389/fpsyg.2020.00848}}, volume = {{11}}, year = {{2020}}, } @article{47919, abstract = {{AbstractWe examine whether and how political embeddedness influences financial reporting quality in China by investigating how government ownership and political connections affect Chinese listed firms’ choices of earnings management strategies. The results show that state‐owned enterprises (SOEs), and in particular, central SOEs, are more likely to substitute accrual‐based earnings management strategies with costlier but less detectable real earnings management strategies than non‐SOEs. The results also indicate that politically connected enterprises (PCEs) are more likely to employ less detectable real earnings management strategies than non‐PCEs, so much so that PCEs’ total earnings management level is higher than that of non‐PCEs.}}, author = {{Wang, Zhi and Braam, Geert and Reimsbach, Daniel and Wang, Jiaxin}}, issn = {{0810-5391}}, journal = {{Accounting & Finance}}, keywords = {{Economics, Econometrics and Finance (miscellaneous), Finance, Accounting}}, number = {{5}}, pages = {{4723--4755}}, publisher = {{Wiley}}, title = {{{Political embeddedness and firms’ choices of earnings management strategies in China}}}, doi = {{10.1111/acfi.12690}}, volume = {{60}}, year = {{2020}}, } @article{47918, author = {{Hahn, Rüdiger and Reimsbach, Daniel}}, issn = {{2168-1007}}, journal = {{Academy of Management Discoveries}}, number = {{1}}, pages = {{155--157}}, publisher = {{Academy of Management}}, title = {{{Bringing Signaling Theory to Intermediated Voluntary Disclosure. Commentary on “Detecting False Accounts in Intermediated Voluntary Disclosure” by Patrick Callery and Jessica Perkins}}}, doi = {{10.5465/amd.2020.0015}}, volume = {{7}}, year = {{2020}}, }