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    2819 research outputs found

    Virtual MOS Sensor Array Design for Ammonia Monitoring in Pig Barns

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    Abstract Animal welfare in barns is strongly influenced by air quality, with gaseous emissions like ammonia posing significant respiratory health risks. However, current state-of-the-art ammonia monitoring systems are labor-intensive and expensive. Metal Oxide Semiconductor (MOS) sensors offer a promising alternative due to their compatibility with sensor networks, enabling high-resolution ammonia monitoring across spatial and temporal scales. While MOS sensors exhibit high sensitivity to various volatile compounds, temperature-cycled operation is commonly employed to enhance selectivity, effectively creating virtual sensor arrays. This study aims to improve ammonia detection by designing a virtual sensor array through a cyclic data-driven approach, integrating machine learning with solid-state sensor modeling. The results of a two-week dataset with measurements of four different pig barns demonstrate ammonia sensing with a sampling rate of about 2/min and a range of 1–30 ppm. The method is robust and exhibits a 10% increase in normalized RMSE when comparing testing results of an unseen sensor module with results of the training dataset. A filter membrane boosts accuracy and prevents data loss due to contamination, such as flyspecks. Overall, the used MOS sensor BME688 is effective and economical for widespread continuous ammonia monitoring and localization of ammonia sources in pig barns

    Intuition als Entscheidungsgrundlage in der Personalauswahl? Ein vorläufiges Fazit

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    Zusammenfassung: Der letzte Beitrag des Themenhefts fasst die Debatte um Subjektivität, Intuition und Bauchgefühl als Entscheidungsgrundlagen in der Personalauswahl zusammen, wie sie ausgehend vom Schwerpunktartikel von Deters und Klopprogge (2025a) zur Diskussion gestellt wurde. Die Herausgeber reflektieren die Kernaussagen der Autoren, die eine Balance zwischen objektiver Diagnostik und subjektiver Intuition fordern und eine deutliche Diskrepanz zwischen wissenschaftlicher Theorie und unternehmerischer Praxis wahrnehmen. Die Rezeption im Themenheft zeigt ein breites Spektrum von Positionen: Während Intuition teils als wertvoller Impuls in komplexen Entscheidungsprozessen gesehen wird, warnen Kritiker vor ihrer Anfälligkeit für Biases. Die Herausgeber plädieren für integrative Verfahren und diagnostische Zugänge, die subjektive und objektive Ansätze verbinden, und betonen die Notwendigkeit eines differenzierten, praxisnahen Dialogs zwischen Wissenschaft und Praxis, um fundierte und zugleich flexible Entscheidungsprozesse zu gestalten

    Arbeitgeberattraktivität aus Sicht der Generationen. Einigkeit statt Unterschiede

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    Die Diskussion um Generationenunterschiede in der Arbeitswelt ist allgegenwärtig – oft geprägt von Klischees und Pauschalisierungen. Dieses Buch liefert eine fundierte, empirisch gestützte Analyse zur Frage, ob sich die Erwartungen an attraktive Arbeitgeber tatsächlich zwischen Generationen unterscheiden. Die Ergebnisse zeigen: Vieles, was als generationsspezifisch gilt, ist eher Ausdruck von gesellschaftlichem Wandel. Auf Basis einer groß angelegten Befragung von Berufstätigen aus vier Generationen werden zentrale Einflussfaktoren identifiziert, die Arbeitgeber unabhängig vom Alter ihrer Mitarbeitenden attraktiv machen. Das Buch bietet praxisnahe Empfehlungen für ein nachhaltiges Personalmanagement – jenseits von Generationsmythen

    EPT Switching vs. Instruction Repair vs. Instruction Emulation: A Performance Comparison of Hyper-Breakpoint Variants

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    Virtual Machine Introspection (VMI) is a powerful technology used to detect and analyze malicious software inside Virtual Machines (VMs) from the outside. Asynchronous access to the VM’s memory can be insufficient for efficient monitoring of what is happening inside of a VM. Active VMI introduces breakpoints to intercept VM execution at relevant points. Especially for frequently visited breakpoints, and even more so for production systems, it is crucial to keep performance overhead as low as possible. In this paper, we present an empirical study that compares the performance of four VMI breakpoint-implementation variants—EPT switching (SLAT view switching) with and without fast single-stepping acceleration, instruction repair, and instruction emulation—from two VMI applications (DRAKVUF, SmartVMI) with the XEN hypervisor on 20 Intel Core i processors ranging from the fourth to the thirteenth generation. Instruction emulation was the fastest method across all 20 tested platforms. Modern processors such as the Intel Core i7 12700H and Intel Core i9 13900HX achieved median breakpoint-processing times as low as 15 µs for the emulation mechanism. The slowest method was instruction repair, followed by EPT switching and EPT switching with FSS. The order was the same for all measurements, indicating that this is a strong and generalizable result

    Understanding Regional Filter Lists: Efficacy and Impact

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    Filter lists are used by various users, tools, and researchers to identify tracking technologies on the Web. These lists are created and maintained by dedicated communities. Aside from popular blocking lists (e.g., EasyList), the communities create region-specific blocklists that account for trackers and ads that are only common in these regions. The lists aim to keep the size of a general blocklist minimal while protecting users against region-specific trackers. In this paper, we perform a large-scale Web measurement study to understand how different region-specific filter lists (e.g., a blocklist specifically designed for French users) protect users when visiting websites. We define three privacy scenarios to understand when and how users benefit from these regional lists and what effect they have in practice. The results show that although the lists differ significantly, the number of rules they contain is unrelated to the number of blocked requests. We find that the lists’ overall efficacy varies notably. Filter lists also do not meet the expectation that they increase user protection in the regions for which they were designed. Finally, we show that the majority of the rules on the lists were not used in our experiment and that only a fraction of the rules would provide comparable protection for users

    The Role of Greenwashing Suspicion for Advertising Effectiveness

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    Sustainability communication as an increasingly circumscribable research field grounds in communication, management and marketing concepts. This chapter focuses on communication of sustainability, sustainable consumption and green claiming and discusses the effects of non-transparent sustainability communication and greenwashing. It specifically presents a study on how the suspicion of greenwashing in green advertising affects attitudes towards the ad and the brand, as well as the purchase intention. The affect transfer hypothesis is used as a model to understand advertising effects in this context. Additionally, this study delves into potential influencing factors on suspicion of greenwashing, such as the type of green advertising and the “lifestyle of health and sustainability” (LOHAS). The research question is addressed through a quantitative experimental online survey. The results demonstrate that the suspicion of greenwashing has a negative effect on attitude towards the ad and on attitude towards the brand, as well as on purchase intention. The chapter therefore offers new insights into one of the critical aspects of strategic sustainable communication and lays the groundwork for future research on “washing” (green, pink, rainbow, etc.) and the need for re-framing sustainability in business-consumer discourses

    Exogenous dsRNA triggers sequence- specific RNAi and fungal stress responses to control Magnaporthe oryzae in Brachypodium distachyon

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    In vertebrates and plants, dsRNA plays crucial roles as PAMP and as a mediator of RNAi. How higher fungi respond to dsRNA is not known. We demonstrate that Magnaporthe oryzae (Mo), a globally significant crop pathogen, internalizes dsRNA across a broad size range of 21 to about 3000 bp. Incubation of fungal conidia with 10 ng/μL dsRNA, regardless of size or sequence, induced aberrant germ tube elongation, revealing a strong sequence-unspecific effect of dsRNA in this fungus. Accordingly, the synthetic dsRNA analogue poly(I:C) and dsRNA of various sizes and sequences elicited canonical fungal stress pathways, including nuclear accumulation of the stress marker mitogen-activated protein kinase Hog1p and production of ROS. Leaf application of dsRNA to the cereal model species Brachypodium distachyon suppressed the progression of leaf blast disease. Notably, the sequence-unspecific effect of dsRNA depends on higher doses, while pure sequence-specific effects were observed at low concentrations of dsRNA ( < 0.03 ng/μL). The protective effects of dsRNA were further enhanced by maintaining a gap of at least seven days between dsRNA application and inoculation, and by stabilising the dsRNA in alginate-chitosan nanoparticles. Overall, our study opens up additional possibilities for the development and use of dsRNA pesticides in agriculture

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