I feel you feel what I feel: Perceived perspective-taking promotes victims‘ conciliatory attitudes because of inferred emotions in the offender

In the context of bullying in a nursing workplace, we test the argument that an offender‘s perspective-taking promotes victim conciliation, mediated by perceived perspective-taking, that is, the extent to which the victim perceives the offender as taking their perspective. Perceived perspective-taking facilitates the attribution of moral emotions (remorse, etc.) to the offender, thereby promoting conciliatory victim responses. However, perceived perspective-taking would be qualified by the extent to which the severity of consequences expressed in the offender‘s perspective-taking matches or surpasses the severity for the victim. In Studies 1 and 2 (Ns = 141 and 122), victims indicated greater trust and/or forgiveness when the offender had taken the victim‘s perspective. This was sequentially mediated by perceived perspective-taking and victim‘s inference that the offender had felt moral emotions. As predicted, in Study 2 (but not Study 1) severity of consequences qualified victims‘ perceived perspective-taking. Study 3 (N = 138) examined three potential mechanisms for the moderation by severity. Victims attributed greater perspective-taking to the offender when the consequences were less severe than voiced by the offender, suggesting victims‘ appreciation of the offender‘s generous appraisal. Attributions of perspective-taking and of moral emotions to the offender may play an important role in reconciliation processes

Boundary conditions for the application of machine learning based monitoring systems for supervised anomaly detection in machining

Monitoring systems may contribute increasing the availability of machine tools and detecting process deviations in time. In the past, machine learning has been used to solve a variety of monitoring problems in machining. However, boundary conditions for the assessment of the principal applicability of machine learning approaches for supervised anomaly detection in machining have not been exhaustively described in the literature. In this paper, objectives as well as deficits of literature approaches are identified and influencing factors on the monitoring quality are described. As a result, we derive boundary conditions and discuss challenges for successful implementation of machine learning based monitoring systems for supervised anomaly detection in industrial practice

Statistical approaches for semi-supervised anomaly detection in machining

Numerous methods have been developed to detect process anomalies during machining. Statistical approaches for semi-supervised anomaly detection compute decision boundaries using information of normal running processes for process evaluation. In this paper, two statistical approaches for semi-supervised anomaly detection in machining based on envelopes are presented and compared. The proposed parametric approach assumes normal distributed envelopes to compute decision boundaries. However, experiments show that deviations from a normal distribution can reduce the monitoring quality. The new approach is non-parametric and employs kernel density estimation (KDE) to estimate the probability density function of the envelopes. Both approaches were evaluated for several machining processes. It is found that the parametric approach is robust against high scattering processes and yields low false alarm rates. By means of the selected safety factor, the number of detected anomalies can be increased using the non-parametric approach

Sialolipom der Glandula parotis

Zusammenfassung: Das Sialolipom ist eine relativ neue und seltene Lipomvariante der Speicheldrüsen, welche durch die Kombination von klassischer Lipommorphologie mit nichtneoplastischen duktuloazinären Speicheldrüsenanteilen gekennzeichnet ist. Inklusive des vorliegenden Falles wurden bislang 27Sialolipome publiziert, davon 14 in der Glandula parotis. Wir beschreiben die klinischen, radiologischen und pathomorphologischen Eigenschaften eines Sialolipoms der Ohrspeicheldrüse bei einem 43Jahre alten Patiente

Data-based ensemble approach for semi-supervised anomaly detection in machine tool condition monitoring

Data-based methods are capable to monitor machine components. Approaches for semi-supervised anomaly detection are trained using sensor data that describe the normal state of machine components. Thus, such approaches are interesting for industrial practice, since sensor data do not have to be labeled in a time-consuming and costly way. In this work, an ensemble approach for semi-supervised anomaly detection is used to detect anomalies. It is shown that the ensemble approach is suitable for condition monitoring of ball screws. For the evaluation of the approach, a data set of a regular test cycle of a ball screw from automotive industry is used

TimeMaxyne A shot noise limited, time resolved pump and probe acquisition system capable of 50 GHz frequencies for synchrotron based X ray microscopy

With the advent of modern synchrotron sources, X ray microscopy was developed as a vigorous tool for imaging material structures with element specific, structural, chemical and magnetic sensitivity at resolutions down to 25 nm and below. Moreover, the X ray time structure emitted from the synchrotron source short bunches of less than 100 ps width provides a unique possibility to combine high spatial resolution with high temporal resolution for periodic processes by means of pump and probe measurements. To that end, TimeMaxyne was developed as a time resolved acquisition setup for the scanning X ray microscope MAXYMUS at the BESSY II synchrotron in order to perform high precision, high throughput pump and probe imaging. The setup combines a highly sensitive single photon detector, a real time photon sorting system and a dedicated synchronization scheme for aligning various types of sample excitations of up to 50 GHz bandwidth to the photon probe. Hence, TimeMaxyne has been demonstrated to be capable of shot noise limited, time resolved imaging, at time resolutions of 50 ps and below, only limited by the X ray pulse widths of the synchrotro

Robotic milking technologies and renegotiating situated ethical relationships on UK dairy farms

Robotic or automatic milking systems (AMS) are novel technologies that take over the labor of dairy farming and reduce the need for human-animal interactions. Because robotic milking involves the replacement of 'conventional' twice-a-day milking managed by people with a system that supposedly allows cows the freedom to be milked automatically whenever they choose, some claim robotic milking has health and welfare benefits for cows, increases productivity, and has lifestyle advantages for dairy farmers. This paper examines how established ethical relations on dairy farms are unsettled by the intervention of a radically different technology such as AMS. The renegotiation of ethical relationships is thus an important dimension of how the actors involved are re-assembled around a new technology. The paper draws on in-depth research on UK dairy farms comparing those using conventional milking technologies with those using AMS. We explore the situated ethical relations that are negotiated in practice, focusing on the contingent and complex nature of human-animal-technology interactions. We show that ethical relations are situated and emergent, and that as the identities, roles, and subjectivities of humans and animals are unsettled through the intervention of a new technology, the ethical relations also shift. © 2013 Springer Science+Business Media Dordrecht

Societal sentience: constructions of the public in animal research policy and practice

The use of non-human animals as models in research and drug testing is a key route through which contemporary scientific knowledge is certified. Given ethical concerns, regulation of animal research promotes the use of less ‘sentient’ animals. This paper draws on a documentary analysis of legal documents, and qualitative interviews with Named Veterinary Surgeons and others at a commercial laboratory in the UK. Its key claim is that the concept of animal sentience is entangled with a particular imaginary of how the general public or wider society views animals. We call this imaginary societal sentience. Against a backdrop of increasing ethnographic work on care encounters in the laboratory, this concept helps to stress the wider context within which such encounters take place. We conclude that societal sentience has potential purchase beyond the animal research field, in helping to highlight the affective dimension of public imaginaries (Welsh and Wynne 2013), and their ethical consequences. Researching and critiquing societal sentience, we argue, may ultimately have more impact on the fate of humans and non-humans in the laboratory, than focusing wholly on ethics as situated practice

Critical animal and media studies: Expanding the understanding of oppression in communication research

Critical and communication studies have traditionally neglected the oppression conducted by humans towards other animals. However, our (mis)treatment of other animals is the result of public consent supported by a morally speciesist-anthropocentric system of values. Speciesism or anthroparchy, as much as any other mainstream ideologies, feeds the media and at the same time is perpetuated by them. The goal of this article is to remedy this neglect by introducing the subdiscipline of Critical Animal and Media Studies. Critical Animal and Media Studies takes inspiration both from critical animal studies – which is so far the most consolidated critical field of research in the social sciences addressing our exploitation of other animals – and from the normative-moral stance rooted in the cornerstones of traditional critical media studies. The authors argue that the Critical Animal and Media Studies approach is an unavoidable step forward for critical media and communication studies to engage with the expanded circle of concerns of contemporary ethical thinking