cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay
Creators: name: Aburakhia, Sulaiman
name: Myers, Ryan
name: Shami, Abdallah
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Vibration-based condition monitoring techniques are commonly used to detect and diagnose failures of rolling bearings. Accuracy and delay in detecting and diagnosing different types of failures are the main performance measures in condition monitoring. Achieving high accuracy with low delay improves system reliability and prevents catastrophic equipment failure. Further, delay is crucial to remote condition monitoring and time-sensitive industrial applications. While most of the proposed methods focus on accuracy, slight attention has been paid to addressing the delay introduced in the condition monitoring process. In this paper, we attempt to bridge this gap and propose a hybrid method for vibration-based condition monitoring and fault diagnosis of rolling bearings that outperforms previous methods in terms of accuracy and delay. Specifically, we address the overall delay in vibration-based condition monitoring systems and introduce the concept of system delay to assess it. Then, we present the proposed method for condition monitoring. It uses Wavelet Packet Transform (WPT) and Fourier analysis to decompose short-duration input segments of the vibration signal into elementary waveforms and obtain their spectral contents. Accordingly, energy concentration in the spectral components-caused by defect induced transient vibrations-is utilized to extract a small number of features with high discriminative capabilities. Consequently, Bayesian optimization-based Random Forest (RF) algorithm is used to classify healthy and faulty operating conditions under varying motor speeds. The experimental results show that the proposed method can achieve high accuracy with low system delay.
description: Code is available at: https://github.com/Western-OC2-Lab/Vibration-Based-Fault-Diagnosis-with-Low-Delay . in IEEE Transactions on Instrumentation and Measurement, 2022
Gaussian phase autocorrelation as an accurate compensator for FFT-based atmospheric phase screen simulations
Creators: name: Chhabra, Sorabh
name: Paul, Jyotirmay
name: Ramaprakash, A. N.
name: Surendran, Avinash
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Accurately simulating the atmospheric turbulence behaviour is always challenging. The well-known FFT based method falls short in correctly predicting both the low and high frequency behaviours. Sub-harmonic compensation aids in low-frequency correction but does not solve the problem for all screen size to outer scale parameter ratios (G/$L_0$). FFT-based simulation gives accurate result only for relatively large screen size to outer scale parameter ratio (G/$L_0$). In this work, we have introduced a Gaussian phase autocorrelation matrix to compensate for any sort of residual errors after applying for a modified subharmonics compensation. With this, we have solved problems such as under sampling at the high-frequency range, unequal sampling/weights for subharmonics addition at low-frequency range and the patch normalization factor. Our approach reduces the maximum error in phase structure-function in the simulation with respect to theoretical prediction to within 1.8\%, G/$L_0$ = 1/1000.
description: SPIE conference proceedings 2020. arXiv admin note: substantial text overlap with arXiv:2106.01002
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages
Creators: name: Soulos, Paul
name: Rao, Sudha
name: Smith, Caitlin
name: Rosen, Eric
name: Celikyilmaz, Asli
name: McCoy, R. Thomas
name: Jiang, Yichen
name: Haley, Coleman
name: Fernandez, Roland
name: Palangi, Hamid
name: Gao, Jianfeng
name: Smolensky, Paul
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Machine translation has seen rapid progress with the advent of Transformer-based models. These models have no explicit linguistic structure built into them, yet they may still implicitly learn structured relationships by attending to relevant tokens. We hypothesize that this structural learning could be made more robust by explicitly endowing Transformers with a structural bias, and we investigate two methods for building in such a bias. One method, the TP-Transformer, augments the traditional Transformer architecture to include an additional component to represent structure. The second method imbues structure at the data level by segmenting the data with morphological tokenization. We test these methods on translating from English into morphologically rich languages, Turkish and Inuktitut, and consider both automatic metrics and human evaluations. We find that each of these two approaches allows the network to achieve better performance, but this improvement is dependent on the size of the dataset. In sum, structural encoding methods make Transformers more sample-efficient, enabling them to perform better from smaller amounts of data.
description: Revised edition to 4th Workshop on Technologies for MT of Low Resource Languages
New Exercise Reflection
Creators: name: Petzold, Andy
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 390113
subject: Science, technology and engineering curriculum and pedagogy

description: Another example are asked to write a brief paper after engaging in a form of exercise from a predetermined list that they had never done before. We provided links to Youtube or other instructional videos and told students to complete the exercise and then reflect on their experiences with the exercise and how their experiences would have been different if their bodies were heavier or had some form of disability.
Dark matter effects on tidal deformabilities and moment of inertia in a hadronic model with short-range correlations
Creators: name: Lourenço, O.
name: Lenzi, C. H.
name: Frederico, T.
name: Dutra, M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: In this work we study the outcomes related to dimensionless tidal deformability $(Λ)$ obtained through a relativistic mean-field (RMF) hadronic model including short-range correlations (SRC) and dark matter (DM) content [Phys. Rev. D 105, 023008 (2022)]. As a dark particle candidate, we use the lightest neutralino interacting with nucleons through the Higgs boson exchange. In particular, we test the model against the constraints regarding the observation of gravitational waves from the binary neutron star merger GW170817 event provided by LIGO and Virgo collaboration (LVC). We show that $Λ$ decreases as the dark particle Fermi momentum ($k_F^{DM}$) increases. This feature favors the RMF-SRC-DM model used here to satisfy the limits of $Λ_{1.4}=190^{+390}_{-120}$ ($Λ$ of a $1.4M_\odot$ neutron star), and $\tildeΛ=300^{+420}_{-230}$ given by the LVC. We also show that as $k_F^{DM}$ increases, $Λ_1$ and $Λ_2$, namely, tidal deformabilities of the binary system, are also moved to the direction of the GW170817 observational data. Finally, we verify that the inclusion of DM in the system does not destroy the \mbox{$I$-Love} relation (correlation between $Λ$ and dimensionless moment of inertia, $\bar{I}$). The observation data for $\bar{I}_\star\equiv\bar{I}(M_\star)=11.10^{+3.68}_{-2.28}$, with $M_\star=1.338M_\odot$, is attained by the RMF-SRC-DM model.
description: 8 pages, 4 figures. Published in Phys. Rev. D
title: USACE Underwater Investigation and Cleanup FUDS for Culebra and Desecheo
titleType: AlternativeTitle
title: National Marine Fisheries Service Endangered Species Act Section 7 Biological Opinion Programmatic Biological and Conference Opinion on the United States Army Corps of Engineers (USACE) Underwater Investigation and Cleanup for Formerly Used Defense Sites (FUDS) in and around Culebra and Desecheo Islands, Puerto Rico
Creators: name: United States. National Marine Fisheries Service. Office of Protected Resources
Publisher: name: United States. National Marine Fisheries Service. Office of Protected Resources
Year: 2023

description: OPR-2016-00017
Εφαρμογές ψηφιακών και φυσικών εμπειριών για την επιτάχυνση της επιχειρηματικής ανάπτυξης
Creators: name: Τζενσίλα, Μποζίκι
Publisher: name: Πανεπιστήμιο Πειραιώς
Year: 2023
Subjects: subject: Ψηφιακό κανάλι
subject: Φυσικό κανάλι
subject: Ψηφιακή εμπειρία
subject: Φυσική εμπειρία
subject: Ευρυ-καναλική εμπειρία
subject: Πολύ-καναλική εμπειρία
subject: Επιχειρηματική ανάπτυξη
subject: Κλάδος γρήγορης εστίασης

description: Στο πλαίσιο της παρούσας διπλωματικής εργασίας, αναλύθηκαν σε βάθος οι εφαρμογές της στρατηγικής των καταναλωτικών εμπειριών ενός μεγάλου οργανισμού που έχει επιτυχώς συνδυάσει τις εμπειρίες των φυσικών μέσων με εκείνες των ψηφιακών μέσων. Για την ανάλυση της στρατηγικής επιλέχθηκε ως μελέτη περίπτωσης η εταιρία McDonald’s, η οποία είναι ηγέτιδα στον κλάδο δραστηριότητας της και τα προϊόντα που προσφέρει η εταιρία προϋποθέτουν μια ισχυρή παρουσία των φυσικών καναλιών, παρόλα αυτά η εταιρία αποφάσισε να επενδύσει σημαντικά στο ψηφιακό της μετασχηματισμό με πολύ μεγάλη επιτυχία. Εκτός από την ανάλυση των πιο πετυχημένων υλοποιήσεων αυτής της στρατηγικής, θα συσχετιστούν επίσης οι επιμέρους στρατηγικές με την οικονομική ανάπτυξη που παρουσίασε η εταιρία και συνθέτοντας τα αποτελέσματα θα συσχετιστούν οι εν λόγω στρατηγικές με συγκεκριμένα και σαφώς ορισμένα οικονομικά και μη οφέλη που οδήγησαν τον οργανισμό να ξεπεράσει τον εαυτό του.
Hierarchical Multi-resource Fair Queueing for Packet Processing
Creators: name: You, C.
name: Zhao, Y.
name: Feng, G.
name: Quek, T. Q. S.
name: Li, L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Various middleboxes are ubiquitously deployed in networks to perform packet processing functions, such as firewalling, proxy, scheduling, etc., for the flows passing through them. With the explosion of network traffic and the demand for multiple types of network resources, it has never been more challenging for a middlebox to provide Quality-of-Service (QoS) guarantees to grouped flows. Unfortunately, all currently existing fair queueing algorithms fail in supporting hierarchical scheduling, which is necessary to provide QoS guarantee to the grouped flows of multiple service classes. In this paper, we present two new multi-resource fair queueing algorithms to support hierarchical scheduling, collapsed Hierarchical Dominant Resource Fair Queueing (collapsed H-DRFQ) and dove-tailing H-DRFQ. Particularly, collapsed H-DRFQ transforms the hierarchy of grouped flows into a flat structure for flat scheduling while dove-tailing H-DRFQ iteratively performs flat scheduling to sibling nodes on the original hierarchy. Through rigorous theoretical analysis, we find that both algorithms can provide hierarchical share guarantees to individual flows, while the upper bound of packet delay in dove-tailing H-DRFQ is smaller than that of collapsed H-DRFQ. We implement the proposed algorithms on Click modular router and the experimental results verify our analytical results.
Σύγχρονες μορφές του τουρισμού μετά την πανδημία και προτάσεις marketing για επιχειρήσεις και προορισμούς
Creators: name: Τζιάβα, Γεωργία
Publisher: name: Πανεπιστήμιο Πειραιώς
Year: 2022
Subjects: subject: Τουρισμός
subject: Εναλλακτικός τουρισμός
subject: Πανδημία
subject: Βιωσιμότητα
subject: Επιχειρηματικές προτάσεις
subject: Τάσεις

description: Η εκπόνηση της παρούσας διπλωματικής εργασίας αποσκοπεί στην ενδελεχή ανάλυση του τομέα του τουρισμού τόσο σε εθνικό, όσο και σε διεθνές επίπεδο, καθώς και της εξέλιξής του μετά την πανδημία. Η μελέτη ξεκινά με μία εννοιολογική προσέγγιση του τουρισμού, συνοδευόμενη από μία ιστορική αναδρομή. Εκεί, θα αναλυθούν σε θεωρητικό πλαίσιο οι ρίζες, τα πλεονεκτήματα και μειονεκτήματα του κλάδου, καθώς και οι δημοφιλέστερες μορφές του στο παρελθόν και στο σήμερα. Βάσει αυτών, θα γίνει αναφορά σχετικά με τα δεδομένα του τουρισμού που επικρατούν στη χώρα μας, και αποτελούν θεμέλιο της οικονομικής ανάπτυξής της. Εν συνεχεία, θίγεται το ζήτημα της πανδημίας του Covid – 19, οι επιπτώσεις της οποίας προκάλεσαν ολική αναπροσαρμογή σε τουριστικό – και όχι μόνο – επίπεδο, διαταράσσοντας τις υπάρχουσες ισορροπίες παγκοσμίως και δημιουργώντας έτσι νέες τουριστικές τάσεις, άξιες να εξεταστούν. Με αυτόν τον τρόπο, η κοινωνία λαμβάνει μία πρωτόγνωρη μορφή, και παρατηρούνται νέες εκφάνσεις του κλάδου, οι οποίες είναι ασύλληπτες για τα παλαιότερα δεδομένα. Με άξονα τα παραπάνω, θα προσδιοριστούν οι εναλλακτικές μορφές που αναδύονται γύρω από τον τουρισμό αμέσως μετά την έξαρση της πανδημίας, βασισμένες στις ανάγκες και προτιμήσεις των ταξιδιωτών. Οι μορφές αυτές, αποτελούν προέκταση μερικών ιδιαίτερα διαδεδομένων τάσεων που υιοθετεί η κοινωνία μετά την άρση του παγκόσμιου εγκλεισμού, και κατακλύζουν το ενδιαφέρον αμέτρητων τουριστών. Ακολούθως, για την εύρεση και διάκριση αυτών των μορφών, θα παρουσιαστεί η μεθοδολογία της έρευνας που επιλέχθηκε, θα αξιοποιηθούν σύγχρονα ηλεκτρονικά εργαλεία και θα εξεταστούν αποτελέσματα μέσω των οποίων θα αναδειχθούν τα κύρια χαρακτηριστικά τους, η δημοφιλία τους, καθώς επίσης και το προφίλ των ανθρώπων που τις υποστηρίζουν. Καταλήγοντας, θα διαμορφωθούν προτάσεις βασισμένες στα αποτελέσματα που προκύπτουν από την παραπάνω έρευνα, ιδιαίτερα χρήσιμες για την αποσαφήνιση των νέων προοπτικών που προκύπτουν στον τουριστικό κλάδο. Με τον τρόπο αυτό, η αγορά, η οποία αποτελείται τόσο από τουριστικές επιχειρήσεις, όσο κι από τουριστικούς προορισμούς, θα λειτουργεί με έναν πιο στοχοθετημένο τρόπο, κατανοώντας πλέον σε βάθος τις υπάρχουσες συνθήκες.
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
Creators: name: Li, Junjie
name: Wang, Zilei
name: Gao, Yuan
name: Hu, Xiaoming
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In unsupervised domain adaptive (UDA) semantic segmentation, the distillation based methods are currently dominant in performance. However, the distillation technique requires complicate multi-stage process and many training tricks. In this paper, we propose a simple yet effective method that can achieve competitive performance to the advanced distillation methods. Our core idea is to fully explore the target-domain information from the views of boundaries and features. First, we propose a novel mix-up strategy to generate high-quality target-domain boundaries with ground-truth labels. Different from the source-domain boundaries in previous works, we select the high-confidence target-domain areas and then paste them to the source-domain images. Such a strategy can generate the object boundaries in target domain (edge of target-domain object areas) with the correct labels. Consequently, the boundary information of target domain can be effectively captured by learning on the mixed-up samples. Second, we design a multi-level contrastive loss to improve the representation of target-domain data, including pixel-level and prototype-level contrastive learning. By combining two proposed methods, more discriminative features can be extracted and hard object boundaries can be better addressed for the target domain. The experimental results on two commonly adopted benchmarks (\textit{i.e.}, GTA5 $\rightarrow$ Cityscapes and SYNTHIA $\rightarrow$ Cityscapes) show that our method achieves competitive performance to complicated distillation methods. Notably, for the SYNTHIA$\rightarrow$ Cityscapes scenario, our method achieves the state-of-the-art performance with $57.8\%$ mIoU and $64.6\%$ mIoU on 16 classes and 13 classes. Code is available at https://github.com/ljjcoder/EHTDI.
Building a Chatbot on a Closed Domain using RASA
Creators: name: Lam, Khang Nhut
name: Le, Nam Nhat
name: Kalita, Jugal
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: In this study, we build a chatbot system in a closed domain with the RASA framework, using several models such as SVM for classifying intents, CRF for extracting entities and LSTM for predicting action. To improve responses from the bot, the kNN algorithm is used to transform false entities extracted into true entities. The knowledge domain of our chatbot is about the College of Information and Communication Technology of Can Tho University, Vietnam. We manually construct a chatbot corpus with 19 intents, 441 sentence patterns of intents, 253 entities and 133 stories. Experiment results show that the bot responds well to relevant questions.
description: 5 pages
State-Dependent Divergences in the Entanglement Entropy
Creators: name: Marolf, Donald
name: Wall, Aron C.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We show the entanglement entropy in certain quantum field theories to contain state-dependent divergences. Both perturbative and holographic examples are exhibited. However, quantities such as the relative entropy and the generalized entropy of black holes remain finite, due to cancellation of divergences. We classify all possible state-dependent divergences that can appear in both perturbatively renormalizeable and holographic covariant $d\le 6$ quantum field theories.
description: 20 pages, 1 figure
Intermediate Palomar Transient Factory: Realtime Image Subtraction Pipeline
Creators: name: Cao, Yi
name: Nugent, Peter E
name: Kasliwal, Mansi M
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: A fast-turnaround pipeline for realtime data reduction plays an essential role in discovering and permitting follow-up observations to young supernovae and fast-evolving transients in modern time-domain surveys. In this paper, we present the realtime image subtraction pipeline in the intermediate Palomar Transient Factory. By using high-performance computing, efficient database, and machine learning algorithms, this pipeline manages to reliably deliver transient candidates within ten minutes of images being taken. Our experience in using high performance computing resources to process big data in astronomy serves as a trailblazer to dealing with data from large-scale time-domain facilities in near future.
description: 18 pages, 6 figures, accepted for publication in PASP
Anomalous excitation facilitation in inhomogeneously broadened Rydberg gases
Creators: name: Letscher, Fabian
name: Thomas, Oliver
name: Niederprüm, Thomas
name: Ott, Herwig
name: Fleischhauer, Michael
Publisher: name: arXiv
Year: 2016
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: When atomic gases are laser driven to Rydberg states in an off resonant way, a single Rydberg atom may enhance the excitation rate of surrounding atoms. This leads to a facilitated excitation referred to as Rydberg anti-blockade. In the usual facilitation scenario, the detuning of the laser from resonance compensates the interaction shift. Here, we discuss a different excitation mechanism, which we call anomalous facilitation. This occurs on the "wrong side" of the resonance and originates from inhomogeneous broadening. The anomalous facilitation may be seen in experiments of attractively interacting atoms on the blue detuned side, where facilitation is not expected to appear.
description: 5 pages, 3 figures
General properties and kinetics of spontaneous baryogenesis
Creators: name: Arbuzova, E. V.
name: Dolgov, A. D.
name: Novikov, V. A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: General features of spontaneous baryogenesis are studied. The relation between the time derivative of the (pseudo)goldstone field and the baryonic chemical potential is revisited. It is shown that this relation essentially depends upon the representation chosen for the fermionic fields with non-zero baryonic number (quarks). The calculations of the cosmological baryon asymmetry are based on the kinetic equation generalized to the case of non-stationary background. The effects of the finite interval of the integration over time are also included into consideration. All these effects combined lead to a noticeable deviation of the magnitude of the baryon asymmetry from the canonical results.
description: 19 pages, 12 figures
title: Working more for less
title: Part-time penalties across the working hours distribution
titleType: Subtitle
Creators: name: Günther, Tom
name: Schneider, Ulrich C.
name: Stürmer-Heiber, Fabian
Publisher: name: Freie Universität Berlin
Year: 2023
Subjects: subject: part-time employment
subject: wage dynamics
subject: female labor supply
subject: 300 Sozialwissenschaften::330 Wirtschaft::331 Arbeitsökonomie

description: We use German administrative and survey data to investigate the heterogeneity of part-time penalties in hourly wages and growth rates. Exploiting tax reforms for identication, we find substantial heterogeneity in part-time wage penalties from −28.3% to −7.2% compared to full-time. The heterogeneity in wage growth penalties is less pronounced. Both penalties do not decrease linearly with additional working hours. More weekly working hours might result in a higher hourly wage penalty. The shape of the penalties is driven by workers with non-demanding tasks and professions where working around 30 weekly hours is uncommon, and relatively many females work.
On Correlated-noise Analyses Applied To Exoplanet Light Curves
Creators: name: Cubillos, Patricio
name: Harrington, Joseph
name: Loredo, Thomas J.
name: Lust, Nate B.
name: Blecic, Jasmina
name: Stemm, Madison
Publisher: name: arXiv
Year: 2016
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Time-correlated noise is a significant source of uncertainty when modeling exoplanet light-curve data. A correct assessment of correlated noise is fundamental to determine the true statistical significance of our findings. Here we review three of the most widely used correlated-noise estimators in the exoplanet field, the time-averaging, residual-permutation, and wavelet-likelihood methods. We argue that the residual-permutation method is unsound in estimating the uncertainty of parameter estimates. We thus recommend to refrain from this method altogether. We characterize the behavior of the time averaging's rms-vs.-bin-size curves at bin sizes similar to the total observation duration, which may lead to underestimated uncertainties. For the wavelet-likelihood method, we note errors in the published equations and provide a list of corrections. We further assess the performance of these techniques by injecting and retrieving eclipse signals into synthetic and real Spitzer light curves, analyzing the results in terms of the relative-accuracy and coverage-fraction statistics. Both the time-averaging and wavelet-likelihood methods significantly improve the estimate of the eclipse depth over a white-noise analysis (a Markov-chain Monte Carlo exploration assuming uncorrelated noise). However, the corrections are not perfect, when retrieving the eclipse depth from Spitzer datasets, these methods covered the true (injected) depth within the 68\% credible region in only $\sim$45--65\% of the trials. Lastly, we present our open-source model-fitting tool, Multi-Core Markov-Chain Monte Carlo ({MC$^3$}). This package uses Bayesian statistics to estimate the best-fitting values and the credible regions for the parameters for a (user-provided) model. {MC$^3$} is a Python/C code, available at https://github.com/pcubillos/MCcubed.
description: Accepted for publication in ApJ
Towards a transnational populism. A chance for the rebirth of European democracy? The case of DiEM25
Creators: name: Panagiotou, Panos
Publisher: name: Loughborough University
Year: 2023
Subjects: classificationCode: 440899
subject: Political science not elsewhere classified

description: Despite the growing interest in populism, transnational populism remains under-researched and is often being perceived as a paradox. The aim of this thesis is to contribute to the development of the concept of transnational populism by examining its specificity and applicability as well as the prospects of its manifestation in the present conjuncture. The first step towards envisaging populism beyond the horizon of the nation-state is to distinguish it from other forms of antagonistic politics such as nationalism and nativism. By drawing upon the Essex School of Discourse Analysis that perceives populism as a discursive logic detached from any ideological or site-specific content, the thesis argues that populism is not necessarily tethered to the national level. It introduces a framework for studying populism across and beyond the nation-state by differentiating trans- from inter- and post-national populism(s). This contributes to the development of the notion of transnational populism and sheds light on the aporia of a ‘transnational people’.The thesis aspires to be both theoretical and empirical in scope. The empirical part starts with an examination of the deepening of post-democracy in the European Union during the Eurozone crisis of 2010s. It uses this period to problematise the conditions under which transnational populism has emerged. It assesses the limits of (left) populism on the national level by exploring the failure of Syriza to produce a meaningful change and respond to the crisis of European democracy. The thesis then engages in an in-depth examination of the case of the Democracy in Europe Movement 2025 (DiEM25), the pan-European movement launched by Yanis Varoufakis in 2016. By utilising the analytical tools of the discursive approach, it tests the assumption that DiEM25 constitutes an exemplar for a new type of populism on the transnational level. In doing so, it examines how this transnational articulation of populism can affect Europe’s democratic politics in terms of advancing the formation of a transnational collective identity and expanding party politics on the pan-European level.
Who benefits from guided internet-based interventions? A systematic review of predictors and moderators of treatment outcome
Creators: name: Haller, Katrin
name: Becker, Pauline
name: Niemeyer, Helen
name: Boettcher, Johanna
Publisher: name: Freie Universität Berlin
Year: 2023
Subjects: subject: Internet-based interventions
subject: Guided self-help
subject: Treatment outcome
subject: Systematic review
subject: Moderators
subject: Predictors
subject: 100 Philosophie und Psychologie::150 Psychologie::150 Psychologie

description: To our knowledge, no systematic review has been conducted on predictors or moderators of treatment outcome across diagnoses in guided internet-based interventions (IBIs) for adults. To identify who benefits from this specific format and therein inform future research on improving patient-treatment fit, we aimed to aggregate results of relevant studies. 2100 articles, identified by searching the databases PsycInfo, Ovid Medline, and Pubmed and through snowballing, were screened in April/May 2021 and October 2022. Risk of bias and intra- and interrater reliability were assessed. Variables were grouped by predictor category, then synthesized using vote counting based on direction of effect. N = 60 articles were included in the review. Grouping resulted in 88 predictors/moderators, of which adherence, baseline symptoms, education, age, and gender were most frequently assessed. Better adherence, treatment credibility, and working alliance emerged as conclusive predictors/moderators for better outcome, whereas higher baseline scores predicted more reliable change but higher post-treatment symptoms. Results of all other predictors/moderators were inconclusive or lacked data. Our review highlights that it is currently difficult to predict, across diagnoses, who will benefit from guided IBIs. Further rigorous research is needed to identify predictors and moderators based on a sufficient number of studies. PROSPERO registration: CRD42021242305.
Automatically Creating a Large Number of New Bilingual Dictionaries
Creators: name: Lam, Khang Nhut
name: Tarouti, Feras Al
name: Kalita, Jugal
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: This paper proposes approaches to automatically create a large number of new bilingual dictionaries for low-resource languages, especially resource-poor and endangered languages, from a single input bilingual dictionary. Our algorithms produce translations of words in a source language to plentiful target languages using available Wordnets and a machine translator (MT). Since our approaches rely on just one input dictionary, available Wordnets and an MT, they are applicable to any bilingual dictionary as long as one of the two languages is English or has a Wordnet linked to the Princeton Wordnet. Starting with 5 available bilingual dictionaries, we create 48 new bilingual dictionaries. Of these, 30 pairs of languages are not supported by the popular MTs: Google and Bing.
description: 7 pages
title: Estimation of Bycatch with Seabirds, Sea Turtles, Bony Fish, Sharks, and Rays in the 2022 Permitted American Sāmoa Longline Fishery
Creators: name: McCracken, Marti
Publisher: name: Pacific Islands Fisheries Science Center (U.S.)
Year: 2023

description: PIFSC data report; DR-23-06
Facial Expression Recognition and Image Description Generation in Vietnamese
Creators: name: Lam, Khang Nhut
name: Nguyen, Kim-Ngoc Thi
name: Nguy, Loc Huu
name: Kalita, Jugal
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This paper discusses a facial expression recognition model and a description generation model to build descriptive sentences for images and facial expressions of people in images. Our study shows that YOLOv5 achieves better results than a traditional CNN for all emotions on the KDEF dataset. In particular, the accuracies of the CNN and YOLOv5 models for emotion recognition are 0.853 and 0.938, respectively. A model for generating descriptions for images based on a merged architecture is proposed using VGG16 with the descriptions encoded over an LSTM model. YOLOv5 is also used to recognize dominant colors of objects in the images and correct the color words in the descriptions generated if it is necessary. If the description contains words referring to a person, we recognize the emotion of the person in the image. Finally, we combine the results of all models to create sentences that describe the visual content and the human emotions in the images. Experimental results on the Flickr8k dataset in Vietnamese achieve BLEU-1, BLEU-2, BLEU-3, BLEU-4 scores of 0.628; 0.425; 0.280; and 0.174, respectively.
description: 7 pages
Self-gravitating fluid solutions of Shape Dynamics
Creators: name: Guariento, Daniel C.
name: Mercati, Flavio
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Shape Dynamics is a 3D conformally invariant theory of gravity which possesses a large set of solutions in common with General Relativity. When looked closely, these solutions are found to behave in surprising ways, so in order to probe the fitness of Shape Dynamics as a viable alternative to General Relativity one must find and understand increasingly more complex, less symmetrical exact solutions, on which to base perturbative studies and numerical analyses in order to compare them with data. Spherically symmetric exact solutions have been studied, but only in a static vacuum setup. In this work we construct a class of time-dependent exact solutions of Shape Dynamics from first principles, representing a central inhomogeneity in an evolving cosmological environment. By assuming only a perfect fluid source in a spherically symmetric geometry we show that this fully dynamic non-vacuum solution satisfies in all generality the Hamiltonian structure of Shape Dynamics. The simplest choice of solutions is shown to be a member of the McVittie family.
description: 9 pages
Evolutionary Model of Stock Markets
Creators: name: Kaldasch, Joachim
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Finance (q-fin.GN)
subject: FOS: Economics and business

description: The paper presents an evolutionary economic model for the price evolution of stocks. Treating a stock market as a self-organized system governed by a fast purchase process and slow variations of demand and supply the model suggests that the short term price distribution has the form a logistic (Laplace) distribution. The long term return can be described by Laplace-Gaussian mixture distributions. The long term mean price evolution is governed by a Walrus equation, which can be transformed into a replicator equation. This allows quantifying the evolutionary price competition between stocks. The theory suggests that stock prices scaled by the price over all stocks can be used to investigate long-term trends in a Fisher-Pry plot. The price competition that follows from the model is illustrated by examining the empirical long-term price trends of two stocks.
title: Hawaiʻi Longline Fishery 2022 Seabird and Sea Turtle Bycatch for  the Entire Fishing Grounds, Within the IATTC Convention Area, and Seabird  Bycatch to the North of 23° N and 23 °N–30° S
Creators: name: McCracken, Marti
Publisher: name: Pacific Islands Fisheries Science Center (U.S.).
Year: 2023

description: PIFSC data report ; DR-23-05
A bayesian application of redshift distributions to weak lensing surveys
Creators: name: Kyriacou, George
Publisher: name: Imperial College London
Year: 2022

description: As we move into the next era of cosmology, dominated by large extensive surveys in the name of precision. The question of how best to constrain our current models with the vast amount of data available to us now and in the future has become prominent. This thesis looks to answer that question in the field of weak lensing, specifically for redshift distributions, a typical weakness of the field. To begin, this thesis will look at the cosmological parameters that describe our universe to the best of our ability and the probes available for constraining them. Chapter 2 looks at one of those probes in more detail, weak lensing, and how a light bending phenomenon can be used to infer statistical properties of the matter distribution of the universe and how its precision is hampered by weaknesses in redshift inference. Methods for achieving this is the focus of Chapter 3, photometric redshifts; using light collected from galaxies across a small number of broadband filters to infer its redshift based on known spectral features. We look into how such methods developed, how these spectral features exist, and the various approaches used. One approach requires a change to our statistical thinking, and thus Chapter 4 focuses on Bayesian statistics and ways it can be applied to problems. One such application is considered in Chapter 5 where we modify the work of Leistedt 2016 for weak lensing-like settings. In Chapter 6 we apply the work to Kilo Degree Survey, specifically KV450 and constrain cosmological parameters potentially lowering a current tension in $S_8$ values between weak lensing and CMB studies. Lastly, in Chapter 7, we gather preliminary results using our approach to KiDS-1000 data, considering improvements required for the levels of precision and accuracy of future surveys.
Certifying the absence of quantum nonlocality
Creators: name: Miller, Carl A.
name: Shi, Yaoyun
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum nonlocality is an inherently non-classical feature of quantum mechanics and manifests itself through violation of Bell inequalities for nonlocal games. We show that in a fairly general setting, a simple extension of a nonlocal game can certify instead the absence of quantum nonlocality. Through contraposition, our result implies that a super-classical performance for such a game ensures that a player's output is unpredictable to the other player. Previously such output unpredictability was known with respect to a third party.
description: 5 pages
World Financial 2014-2016 Market Bubbles: Oil Negative - US Dollar Positive
Creators: name: Wątorek, Marcin
name: Drożdż, Stanisław
name: Oświęcimka, Paweł
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Finance (q-fin.ST)
subject: FOS: Economics and business
subject: 62P20, 91B70, 91B84, 62M10, 62M20, 60G25, 68U20

description: Based on the Log-Periodic Power Law (LPPL) methodology, with the universal preferred scaling factor $λ\approx 2$, the negative bubble on the oil market in 2014-2016 has been detected. Over the same period a positive bubble on the so called commodity currencies expressed in terms of the US dollar appears to take place with the oscillation pattern which largely is mirror reflected relative to oil price oscillation pattern. This documents recent strong anti-correlation between the dynamics of the oil price and of the USD. A related forecast made at the time of FENS 2015 conference (beginning of November) turned out to be quite satisfactory. These findings provide also further indication that such a log-periodically accelerating down-trend signals termination of the corresponding decreases.
description: presented at FENS2015 conference, to appear in Acta Physica Polonica A. arXiv admin note: text overlap with arXiv:1003.5926 by other authors
Multiplex Heterogeneous Graph Convolutional Network
Creators: name: Yu, Pengyang
name: Fu, Chaofan
name: Yu, Yanwei
name: Huang, Chao
name: Zhao, Zhongying
name: Dong, Junyu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Heterogeneous graph convolutional networks have gained great popularity in tackling various network analytical tasks on heterogeneous network data, ranging from link prediction to node classification. However, most existing works ignore the relation heterogeneity with multiplex network between multi-typed nodes and different importance of relations in meta-paths for node embedding, which can hardly capture the heterogeneous structure signals across different relations. To tackle this challenge, this work proposes a Multiplex Heterogeneous Graph Convolutional Network (MHGCN) for heterogeneous network embedding. Our MHGCN can automatically learn the useful heterogeneous meta-path interactions of different lengths in multiplex heterogeneous networks through multi-layer convolution aggregation. Additionally, we effectively integrate both multi-relation structural signals and attribute semantics into the learned node embeddings with both unsupervised and semi-supervised learning paradigms. Extensive experiments on five real-world datasets with various network analytical tasks demonstrate the significant superiority of MHGCN against state-of-the-art embedding baselines in terms of all evaluation metrics.
Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis
Creators: name: Hong, Matt-Heun
name: Marsh, Lauren A.
name: Feuston, Jessica L.
name: Ruppert, Janet
name: Brubaker, Jed R.
name: Szafir, Danielle Albers
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Interpretive scholars generate knowledge from text corpora by manually sampling documents, applying codes, and refining and collating codes into categories until meaningful themes emerge. Given a large corpus, machine learning could help scale this data sampling and analysis, but prior research shows that experts are generally concerned about algorithms potentially disrupting or driving interpretive scholarship. We take a human-centered design approach to addressing concerns around machine-assisted interpretive research to build Scholastic, which incorporates a machine-in-the-loop clustering algorithm to scaffold interpretive text analysis. As a scholar applies codes to documents and refines them, the resulting coding schema serves as structured metadata which constrains hierarchical document and word clusters inferred from the corpus. Interactive visualizations of these clusters can help scholars strategically sample documents further toward insights. Scholastic demonstrates how human-centered algorithm design and visualizations employing familiar metaphors can support inductive and interpretive research methodologies through interactive topic modeling and document clustering.
description: To appear at the 2022 ACM Symposium on User Interface Software and Technology (UIST '22)
TTC: A Tensor Transposition Compiler for Multiple Architectures
Creators: name: Springer, Paul
name: Sankaran, Aravind
name: Bientinesi, Paolo
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mathematical Software (cs.MS)
subject: Performance (cs.PF)
subject: FOS: Computer and information sciences
subject: G.4; D.3.4; I.1.2; I.1.3

description: We consider the problem of transposing tensors of arbitrary dimension and describe TTC, an open source domain-specific parallel compiler. TTC generates optimized parallel C++/CUDA C code that achieves a significant fraction of the system's peak memory bandwidth. TTC exhibits high performance across multiple architectures, including modern AVX-based systems (e.g.,~Intel Haswell, AMD Steamroller), Intel's Knights Corner as well as different CUDA-based GPUs such as NVIDIA's Kepler and Maxwell architectures. We report speedups of TTC over a meaningful baseline implementation generated by external C++ compilers; the results suggest that a domain-specific compiler can outperform its general purpose counterpart significantly: For instance, comparing with Intel's latest C++ compiler on the Haswell and Knights Corner architecture, TTC yields speedups of up to $8\times$ and $32\times$, respectively. We also showcase TTC's support for multiple leading dimensions, making it a suitable candidate for the generation of performance-critical packing functions that are at the core of the ubiquitous BLAS 3 routines.
The remnant CP transformation and its implications
Creators: name: Gonzalez-Canales, Felix
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In the context of remnant CP transformations, I briefly discuss a generalized $μ-τ$ reflection symmetry, where the "Majorana" phases have CP conserving values, which are directly related with the CP parities of neutrino states. Also, one finds that the "Dirac-like" CP violation phase is correlated with the atmospheric mixing angle, giving important phenomenological implications for current and future long baseline oscillation neutrino experiments.
description: To be published in Journal of Physics Conference Series (IOP). Joint Proceedings of the XV Mexican Workshop on Particles and Fields & the XXX Annual Meeting of the Division of Particles and Fields of the Mexican Physical Society
A likely inverse-Compton emission from the Type IIb SN 2013df
Creators: name: Li, K. L.
name: Kong, A. K. H.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The inverse-Compton X-ray emission model for supernovae has been well established to explain the X-ray properties of many supernovae for over 30 years. However, no observational case has yet been found to connect the X-rays with the optical lights as they should be. Here, we report the discovery of a hard X-ray source that is associated with a Type II-b supernova. Simultaneous emission enhancements have been found in both the X-ray and optical light curves twenty days after the supernova explosion. While the enhanced X-rays are likely dominated by inverse-Compton scatterings of the supernova's lights from the Type II-b secondary peak, we propose a scenario of a high-speed supernova ejecta colliding with a low-density pre-supernova stellar wind that produces an optically thin and high-temperature electron gas for the Comptonization. The inferred stellar wind mass-loss rate is consistent with that of the supernova progenitor candidate as a yellow supergiant detected by the Hubble Space Telescope, providing an independent proof for the progenitor. This is also new evidence of the inverse-Compton emission during the early phase of a supernova.
description: 9 pages, 3 figures
Development of cost-effective Optical Projection Tomography instrumentation for static and dynamic samples
Creators: name: Darling, Connor James
Publisher: name: Imperial College London
Year: 2023

description: Optical projection tomography (OPT) is a technique used to volumetrically image transparent mesoscopic (mm to cm scale) samples, making it well suited to the imaging of both fixed, chemically cleared tissues and live transparent animal models, such as zebrafish (D. rerio). As the optical analogue of x-ray computed tomography, 2D projection images through a sample are sequentially recorded as it is rotated, with the 3D volumetric data reconstructed from the set of projections. OPT may be implemented on an existing widefield imaging system simply by adding the means to rotate the sample. However, as the numerical aperture is typically limited to set the depth of field to equal the sample radius, resolution scales inversely with object size, and the sequential acquisition of projection images precludes the imaging of samples in motion. The work presented in this thesis aimed to increase the accessibility and applicability of OPT, through cost-effective hardware implementation and development of a novel single-shot OPT instrument to enable the imaging of moving samples. I present an evaluation of cost-effective hardware for use in a practical OPT instrument, including the use of CMOS cameras and LED light sources. I also characterised a cost-effective focal scanning OPT implementation, using a commercial scanning lens featuring a liquid tunable element to scan a narrow depth of field through a sample to record high-resolution projection measurements. To enable volumetric imaging of dynamic samples, I developed a single-shot OPT (ss-OPT) instrument, capable of tomography of a ∼1mm^3 volume, at a camera-limited frame rate of 62.5 volumes/s, achieved by simultaneously recording 8 projection images onto 4 cost-effective CMOS cameras, and leveraging compressive sensing reconstruction to retrieve volumetric images from this undersampled data set. The ss-OPT instrument was applied to 3D imaging of ink flowing in water, and freely swimming zebrafish embryos.