192 research outputs found
From Thread to Fabric: Anthropology and Its Interpreters
No full textIn the Conclusion of the book edited by Hande Birkalan Gedik and Fabiana Dimpfelmeier, the author traces the dynamics between the thread and the fabric, going back to Fredric Barth's seminal 2000 Sydney Mintz lecture, published in 2002. Using different examples, from ideas that speak of global anthropological concerns, to the more particular issues of what it means to produce (and use) the anthropological knowledge, the chapter emphasizes the need to understand different regional traditions.This open access edition of ‘Fabrics of Anthropological Knowledge: Changing Perspectives in Europe and Beyond’,
edited by Hande Birkalan-Gedik and Fabiana Dimpflmeier has been funded by Georg und Franziska Speyer’sche
Hochschulstiftung and the Open Access Publication Fund of Goethe University Frankfurt am Main
First record of the new Neoplanorbulinid species (Foraminifera) from the Early Oligocene in Turkey, Malatya Basin, Eastern Taurids
No full textFIG. 2. — Geological map of the study area (simplified from Bilgiç 2002).Published as part of Gedik, Fatma, 2017, First record of the new Neoplanorbulinid species (Foraminifera) from the Early Oligocene in Turkey, Malatya Basin, Eastern Taurids, pp. 273-284 in Geodiversitas 39 (2) on page 276, DOI: 10.5252/g2017n2a6, http://zenodo.org/record/453606
Borelis merici Sirel & Gunduz 1981
No full text<i>Borelis merici</i> Sirel & Gündüz, 1981 <p>(Fig. 6O)</p> <p> <i>Borelis merici</i> Sirel & Gündüz, 1981: 73, 74, pl. 1, figs 9-13. — Sirel 2003: 299, pl. 11, figs 8, 9.</p> <p>DESCRIPTION</p> <p>The test is slightly elongated oval with an axial diameter of 1.01- 1.41 mm and equatorial diameter of 0.45-0.78 mm. Index of elongation is between 1.79-2.71. The first 4-5 whorls which follow the proloculus are devoid of an axial thickening, so that the shape of the test seems spheric in this stage. Axial thickening increases at the last 4 whorls, therefore the shape of the test becomes elongated oval in the adult stage.Dimorphism is faint.</p>Published as part of <i>Gedik, Fatma, 2017, First record of the new Neoplanorbulinid species (Foraminifera) from the Early Oligocene in Turkey, Malatya Basin, Eastern Taurids, pp. 273-284 in Geodiversitas 39 (2)</i> on page 283, DOI: 10.5252/g2017n2a6, <a href="http://zenodo.org/record/4536064">http://zenodo.org/record/4536064</a>
Capturing human behaviour through wearables by computational analysis of social dynamics
No full textUnderstanding human behaviour has sparked the minds of many throughout centuries. One intriguing aspect of human behaviour is the social part; how humans react to each other and their environment. Scientifically studying such behaviour is hampered because of the need for manual annotations, so that social scientists limited themselves to observing only short time intervals in limited settings. With the growing processing power of computers and increasing possibilities of robust, continuous, and mobile sensing, collecting and analysing large amounts of real-life behaviour data has become possible. Moreover, computational methods make it possible to go beyond traditional approaches for social understanding, since they detect patterns that are not easily distinguishable for humans. However, even with powerful computational models, investigating human behaviour is quite challenging as behaviour is personal and contextual, resulting in huge variations. This thesis proposes novel computational solutions for analysing human social behaviour. It focusses on data collected from people with wearable accelerometers in crowded events where people freely mingle with each other. It provides solutions to robustly detect actions and interactions, as well as how to use the detected information to derive higher level social understanding. The thesis starts by introducing novel ways of detecting social actions and interactions. To deal with intra personal variations, we show how general action predictors can be adapted to become personalized models using the transfer learning methodology. Further, we show that the detection of conversing groups can be deduced from interaction dynamics, instead of the mainly preferred modality of proximity. Large variations of interaction patterns that might arise in unrestricted scenarios are addressed by a novel method that considers the sizes of the groups; both in training and detection phases. The thesis continues with a proof-of-concept study that shows how detected action and interaction patterns of people can be used to infer an individuals’ psychological construct. We show that it is possible to detect the construct of personality in a real life event by imitating two behavioural cues (speaking and movement) from one digital modality (acceleration). Additionally, we describe a detailed investigation of how social context moderates an individuals’ evaluation of a live performance. Through a novel approach, we infer audience members’ evaluations from informative parts of the event, identified by the linkage of body accelerations. Taken together, with this thesis we show that with the increased sensing and computing power, the understanding of human social behaviour in more dynamic social situations is within reach.Pattern Recognition and Bioinformatic
Dynamics using LSTMs
No full textIn this paper, we investigate the use of proxemics and dynamics for automatically identifying conversing groups, or so-called F-formations. More formally we aim to automatically identify whether wearable sensor data coming from 2 people is indicative of F-formation membership. We also explore the problem of jointly detecting membership and more descriptive information about the pair relating to the role they take in the conversation (i.e. speaker or listener). We jointly model the concepts of proxemics and dynamics using binary proximity and acceleration obtained through a single wearable sensor per person. We test our approaches on the publicly available MatchNMingle dataset which was collected during real-life mingling events. We find out that fusion of these two modalities performs significantly better than them independently, providing an AUC of 0.975 when data from 30-second windows are used. Furthermore, our investigation into roles detection shows that each role pair requires a different time resolution for accurate detection.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Pattern Recognition and Bioinformatic
Quantum entaglement and order parameter in a paired finite Fermi system
No full textWe study the pairing correlations in a finite Fermi system from the quantum entanglement point of view. We investigate the relation between the order parameter, which has been introduced recently to describe both finite and infinite superconductors, and the concurrence. For a proper definition of the concurrence, we argue that a possible generalization of the spin flip transformation is a time reversal operation. While for a system with indefinite number of particles concurrence is a good measure of entanglement, for a finite system it does not distinguish between normal and superconducting states. We propose that the expectation value of the radial operator for the total pseudospin can be used to identify entanglement of pairing
Stability of flip and exchange symmetric entangled state classes under invertible local operations
No full textFlip and exchange symmetric (FES) many-qubit states, which can be obtained from a state with the same symmetries by means of invertible local operations (ILO), constitute a set of curves in the Hilbert space. Eigenstates of FES ILOs correspond to vectors that cannot be transformed to other FES states. This means
equivalence classes of states under ILO can be determined in a systematic way for an arbitrary number of qubits. More important, for entangled states, at the boundaries of neighboring equivalence classes, one can show that when the fidelity between the final state after an ILO and a state of the neighboring class
approaches unity, the probability of success decreases to zero. Therefore, the classes are stable under ILOs
Ultrafast dynamics in the presence of antiferromagnetic correlations in electron-doped cuprate La 2 − x Ce x CuO 4 ± δ
No full textWe used femtosecond optical pump-probe spectroscopy to study the photoinduced change in reflectivity of thin films of the electron-doped cuprate La[subscript 2−x]Ce[subscript x]CuO[subscript 4] (LCCO) with dopings of x=0.08 (underdoped) and x=0.11 (optimally doped). Above T[subscript c], we observe fluence-dependent relaxation rates that begin at a temperature similar to the one where transport measurements first show signatures of antiferromagnetic correlations. Upon suppressing superconductivity with a magnetic field, it is found that the fluence and temperature dependence of relaxation rates are consistent with bimolecular recombination of electrons and holes across a gap (2Δ[subscript AF]) originating from antiferromagnetic correlations which comprise the pseudogap in electron-doped cuprates. This can be used to learn about coupling between electrons and high-energy (ω>2Δ[subscript AF]) excitations in these compounds and set limits on the time scales on which antiferromagnetic correlations are static.Gordon and Betty Moore Foundation (EPiQS Initiative Grant GBMF4540)United States. Air Force. Office of Scientific Research (FA95501410332)National Science Foundation (U.S.) (DMR1410665
Development of the Turkish Author Recognition Task (TART) and the Turkish Vocabulary Size Test (TurVoST)
No full textThis article reports the development of two novel research tools for Turkish, the Turkish Author Recognition Task (TART) and the Turkish Vocabulary Size Test (TurVoST). Such tools have been readily available for English, Spanish, Korean, Dutch and Chinese but not for Turkish. These tools help researchers to identify the print exposure levels of L1 speakers and an approximation of L1 speakers’ receptive vocabulary knowledge, respectively. Measuring print exposure is important as it is an important driver of L1 development from a usage-based perspective (e.g., Dąbrowska in Cognition 178:222–235, 2018), which influences vocabulary, grammar, and collocation knowledge. The findings show that the TART and TurVoST are significantly correlated at 0.47 and the TART accounts for almost 18% of the variance in vocabulary knowledge. Reliability (Cronbach’s alpha) scores were found to be 0.99 and 0.74 for two tests respectively. In light of similar previous studies of various ARTs and vocabulary size tests, the TART and the TurVoST are found to be reliable research instruments with correlations and reliability scores within the range of what has been reported in the literature. Potential uses of these two instruments are discussed. All data, R codes, and research instruments are publicly available at https://osf.io/u6t8m/?view_only=63cf706c381a4214950984dae5470df6.Open Access funding enabled and organized by Projekt DEAL.Friedrich-Alexander-Universität Erlangen-Nürnberg (1041
Complex conversational scene analysis using wearable sensors
No full textWhen aspiring to achieve 'in the wild' behavior analysis, we come across a number of conceptual and practical issues. In this chapter, we focus primarily on describing the data collection process for the automated analysis of human social behavior. Specifically, we address the task of analyzing social interaction during conversations. Most research in this area has focused largely on seated scenarios such as a small group having a meeting. In this chapter, we address the challenges that are faced when analyzing complex conversational scenes; crowded social settings where mingling occurs such as networking events, cocktail parties or conferences.We discuss and provide definitions of what 'in the wild' means for the context of wearable sensors. We provide a case study detailing different concerns that can emerge as a result of 'in the wild' social behavior analysis. More concretely, we address this in terms of how the concept of ecological validity coming from experimental psychology links with the concept of 'in the wild', practical and conceptual issues related to data collection, and finally how this influences social behavior analysis.Importantly in the presentation of the behavior analysis, we address key questions when an entire dataset is recorded from continuous natural behavior 'in the wild': When do we have enough data? Do we need a different machine learning approach for different amounts of data? Are social behaviors (e.g. speaking) more difficult to characterize than activities (e.g. walking/stepping) when the setting is so uncontrolled? We try to answer this question by considering the extent to which the nature of this problem becomes more personalized or person-independent as the size of the dataset increases.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Pattern Recognition and Bioinformatic
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