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    scientific reports / An applied noise model for scintillation-based CCD detectors in transmission electron microscopy

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    Measurements in general are limited in accuracy by the presence of noise. This also holds true for highly sophisticated scintillation-based CCD cameras, as they are used in medical applications, astronomy or transmission electron microscopy. Further, signals measured with pixelated detectors are convolved with the inherent detector point spread function. The Poisson noise, arising from the quantized nature of the beam electrons, gets correlated by this convolution, which allows to reconstruct the detector PSF based on the Wiener–Khinchin theorem and the Pearson correlation coefficients under homogeneous illumination conditions. However, correlation also has a strong impact on the noise statistics of basic operations like the binning of signals, as it is usually done in electron energy-loss spectroscopy. Thus, this paper aims to give an insight into the different noise contributions occurring on such detectors, into their underlying statistics and their correlation. Detectors usually suffer from gain non-linearities and quantum efficiency deviations, which must be corrected for optimal results. All these operations influence the noise and are influenced by it, vice versa. In this work, we mathematically describe all these changes and show them experimentally. Methods on how to measure individual noise and correlation parameters are described allowing readers to implement routines for finding them. Sufficient knowledge on the noise of a measurement is not only crucial for classifying its quality and meaningfulness, but also allows for better post-processing operations like deconvolution, which is a common practice in spectroscopy to enhance signals.Christian Zietlow & Jörg K. N. Lindne

    Macht und Vertrauen in Führungsprozessen berufsbildender Schulen als lernende Organisationen : Entwicklung eines Modells "Resonante Führung"

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    In beinahe allen gesellschaftlichen Bereichen hält sich bis heute die Vorstellung von Führung als Management, obwohl der Begriff des Leadership (in der deutschen Übersetzung des englisch-amerikanischen Begriffs verwendet der Duden als Genus das Neutrum), der in der folgenden Untersuchung grundlegend sein wird, schon zu Beginn des 20. Jahrhunderts in den Vereinigten Staaten in Kontexten von betrieblicher Unternehmensführung (vgl. Köster-Ehling 2018, 222 ff.) auftaucht. Dieser neue Begriff verstand sich aber mehr als Sammelbezeichnung für Maßnahmen technischer und organisationaler Unternehmenssteuerung, um definierte Unternehmensziele zu erreichen, also mithin als Management. Management wird so auch im Selbstverständnis von Leitungspersonen vornehmlich als Fähigkeit begriffen, eine Organisation im Sinne ihrer systemischen Zweckbestimmungen durch Perfektionierung von Abläufen und Optimierung von betrieblichen Prozessen effektiver und effizienter zu machen; in einem industriellen Produktionsprozess bedeutet das beispielsweise, durch optimierte Steuerung, Steigerung von Produktivität und Kostenminimierung unter gegebenen Bedingungen eine höhere Produktionsmenge zu erreichen und letztendlich am Markt höhere Gewinnmargen zu erzielen (vgl. Köster-Ehling 2018, 224). Die hier implizierte Vorstellung von Leistung und Erfolg hat bis in die 1980er Jahre die Unternehmenswirklichkeit und im Sinne von Messbarkeit von Schulleistungen als in Noten dokumentierten Erfolgsquoten der Schüler*innen auch den Alltag in Schule dominiert ...In almost all areas of society, the idea of leadership as management persists to this day, although the term leadership (in the German translation of the English-American term, the Duden uses the neuter gender), which will be fundamental in the following study, already appeared in the United States at the beginning of the 20th century in contexts of corporate management (cf. Köster-Ehling 2018, 222 ff.). However, this new term was understood more as a collective term for measures of technical and organizational corporate management in order to achieve defined corporate goals, i.e. as management. Management is thus also understood by managers primarily as the ability to make an organization more effective and efficient in terms of its systemic purpose by perfecting procedures and optimizing operational processes; in an industrial production process, for example, this means achieving a higher production volume under given conditions through optimized control, increasing productivity and minimizing costs and ultimately achieving higher profit margins on the market (cf. Köster-Ehling 2018, 224). Up until the 1980s, the idea of performance and success implied here was the corporate reality and, in the sense of measurability of school performance as success rates of students documented in grades ...vorgelegt von: Helmut Zumbrock M. A. ; Erstgutachter: Prof. Dr. Dietmar Heisler, Universität Paderborn, Zweitgutachter: Prof. em. Dr. Manfred Eckert, Universität ErfurtTag der Verteidigung: 10.04.2025Universität Paderborn, Dissertation, 202

    Theology of Prophecy in Dialogue : A Jewish-Christian-Muslim Encounter

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    This volume examines the Rabbinic, Qur’anic and Christian understandings of prophecy from a historical and comparative theological perspective. The Rabbinic perspectives on the phenomenon of prophecy are analyzed in their historical continuity and engagement with the theological traditions of Islam and Christianity. The examination of female prophecy also occupies a central place here. Similarly, several contributors describe the deep roots of Qur’anic prophetology in the Christian and Jewish traditions of Late Antiquity and the Arabic context. Finally, the anthology attempts to reflect on these different theological traditions of prophecy in the Christian, Jewish, and Qur’anic traditions from a comparative theological perspective and to discuss the possible theological significance of this phenomenon in the modern age.Zishan Ghaffar, Klaus von Stosch (Eds.

    Frontiers in Psychology / Interacting with fallible AI : is distrust helpful when receiving AI misclassifications?

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    Due to the application of artificial intelligence (AI) in high-risk domains such as law and medicine, trustworthy AI and trust in AI are increasingly relevant to science and the public. A typical conception, for example, in the context of medical diagnosis, is that a knowledgeable user receives AI-generated classifications as advice. Research to improve such interactions often aims to foster users' trust, which, in turn, should improve combined human-AI performance. Given that AI models can err, we argue that the possibility of critically reviewing and thus distrusting an AI decision is an equally interesting target for research. We created two image classification scenarios in which participants received mock-up AI advice. The quality of the advice decreases during a phase of the experiment. We studied task performance, as well as participants' trust and distrust, and tested whether an instruction to remain skeptical and to review each piece of advice led to better performance compared to a neutral condition. Our results indicate that this instruction does not improve but rather worsens the participants' performance. Repeated single-item self-reports of trust and distrust indicate an increase in trust and a decrease in distrust following the decline in AI's classification quality, with no difference between the two instructions. Furthermore, through a Bayesian Signal Detection Theory analysis, we provide a procedure to assess appropriate reliance in detail by quantifying whether the issues of under- and over-reliance have been mitigated. We discuss the implications of our results for the usage of disclaimers before interacting with AI, as prominently used in current LLM-based chatbots, and for trust and distrust research.Tobias M. Peters and Ingrid Scharla

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