129 research outputs found
An Interview with Hu Ching Fang
Hu Ching Fang 胡晴舫, also known as Lolita Hu, is a writer of novels, essays and short stories, who was born in 1969 in Taipei. Currently, she is the director of Kwang Hwa Information and Culture Center in Hong Kong, whose term usually lasts three years. Our conversation took place in late November 2017 in Taipei; the final version of the text was proofread and approved by the author via mail in February 2018.One of Hu’s short stories was recently published as a German translation: “Die Welt 世界”; in Thilo Diefenbach (ed./transl.): Kriegsrecht. Neue Literatur aus Taiwan. München: iudicium 2017, pp. 426–434.On the 16th September 2017, the South China Morning Post published an extensive interview with her, which is still available online. It covers both her personal life and her work as a writer, therefore I excluded these topics from my questionnaire. Additionally, numerous interviews with her can be found online in Chinese
Role of oxygen vacancies for resistive switching in noble metal sandwiched Pr<sub>0.67</sub>Ca<sub>0.33</sub>MnO<sub>3-δ</sub>
Non-volatile resistance change under electric stimulation in oxides is a promising path to next generation memory devices. However, the underlying mechanisms are still not fully understood. We report here on the study of switching in Pr0.67Ca0.33MnO3-delta (PCMO) films sandwiched by noble metal Pt electrodes, where electrode oxidation can be excluded. In order to develop an understanding of the switching induced oxygen migration, its initial concentration is modified by post-annealing of the deposited PCMO films. The oxygen distribution is obtained by manganese valence determination using spatially resolved electron energy loss spectroscopy in scanning transmission electron microscopy mode. We observe correlations between virgin state resistance, resistive switching properties, oxygen vacancy distribution, and stress/strain state of the PCMO films and propose a simplified interface resistance model based on the measured valence distribution. It assumes a linear correlation of oxygen vacancy concentration with conductivity and a metal to insulator transition above a critical vacancy concentration threshold. Our results suggest that resistance changes can take place at both interfaces of symmetric devices and only requires small changes in oxygen vacancy concentration. (C) 2017 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).DFG [Jo 348/10-01
Max Weber e il dibattito attuale sulle migrazioni
Max Weber and the Current Debate on Migration. Drawing on Max Weber’s famous Antrittsvorlesung (1895), the author develops an ideal type framework to categorize various perspectives on the migration issue. Based on two contrasting attitudes – the axiological-differential and the universal-relativistic – the author critically examines the positions of Thilo Sarrazin, Bassam Tibi, and Aladdin El-Mafaalani
Review of Stevenson, Roland C. (author) & Thilo Schadeberg (editor): Tira and Otoro, two Kordofanian Grammars by Roland C. Stevenson. (Archiv afrikanistischer Manuskripte, 8) Rüdiger Köppe Verlag, Köln 2009. 333 pp. Price € 48,-. ISBN 978-3-89645-173-6.
International audienceToday, the Kordofanian family of the Niger-Congo phylum remains one of the most poorly researched language families in Africa and worldwide. This book makes two descriptive grammars available to the scientific community, respectively Tira and Otoro (both of which belonging to the Heibanian branch of Kordofanian) and is therefore a most welcome publication.The author of those grammars, Roland C. Stevenson (1915‒1991), is a member of the Church Missionary Society, who first arrived in Sudan in 1937 and soon got involved in the study of various Sudanese tongues. He devoted his PhD (Stevenson 1956-57) to the languages spoken in the Nuba Mountains, a region which is the home area of all attested Kordofanian languages. As “descriptive and comparative work on Kordofanian languages is still in its infancy” (Schadeberg 1989: 79), Stevenson’s abundant linguistic production remains one of the main sources (and in some cases the only one) available for many Kordofanian languages.The editor of these grammars, Thilo Schadeberg, is one of the very few linguists to have regularly worked and published on Kordofanian languages (e.g. Schadeberg 1981a/b, 1989) since the second half of the XXth century. As explained in the preface of the book, Stevenson wrote his Tira (TI) and Otoro (OT) grammars in 1942 and 1943 respectively. However, these existed only as typescripts and it is thanks to Schadeberg’s efforts that “the data and analyses” they contain are “presented here [i.e. in this book] for the first time in print” (p. viii)
Machine Learning-Based Diagnosis of Epilepsy in Clinical Routine: Lessons Learned from a Retrospective Pilot Study
Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials
We show that event-related potentials can be used to detect schizophrenia with a high degree of precision. With our machine learning algorithm we achieve a balanced accuracy of 96.4 , which exceeds all results with comparable approaches. For this we use additional sensors on the left and right hemisphere in addition to the common central sensors. The experimental design when recording the data takes into account the dysfunction of the schizophrenic efference copy. Due to its serious consequences, schizophrenia is a social issue in which early detection and prevention plays a central role. In the future, machine learning could be used to support early interventions. When the first symptoms appear, potential patients could be tested for the dysfunction typical for schizophrenia. In this way, risk groups and potential patients could be adequately treated before the onset of psychosis
High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands
We applied machine learning to diagnose epilepsy based on the fine-graded spectral analysis of seizure-free (resting state) EEG recordings. Despite using unspecific agglomerated EEG spectra, our fine-graded spectral analysis specifically identified the two EEG resting state sub-bands differentiating healthy people from epileptics (1.5-2 Hz and 11-12.5 Hz). The rigorous evaluation of completely unseen data of 100 EEG recordings (50 belonging to epileptics and the other 50 to healthy people) shows that the approach works successfully, achieving an outstanding accuracy of 99 percent, which significantly outperforms the current benchmark of 70% to 95% by a panel of up to three experienced neurologists. Our epilepsy diagnosis classifier can be implemented in modern EEG analysis devices, especially in intensive care units where early diagnosis and appropriate treatment are decisive in life and death scenarios and where physicians’ error rates are particularly high. Our approach is accurate, robust, fast, and cost-efficient and substantially contributes to Information Systems research in healthcare. The approach is also of high practical and theoretical relevance
Time to Transition [Editor's Column]
Time flies. It feels like yesterday that I took over the steering wheel of IEEE Industrial Electronics Magazine from Thilo Sauter for a three-year term, and now it is time for me pass it on to the next editor-in-chief (EIC). The IES president has appointed Eric Monmasson to fill this position for the coming three years and I am very happy with this choice. Eric was a tremendous support in his role as 'Society News' editor and associate editor during my time. He is very experienced and highly reputed. Intelligent Electrical Power Grid
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