cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The coefficients of the reduced Bartholdi zeta function
Creators: name: Tahaei, Maedeh S.
name: Hashemi, Seyed Naser
Publisher: name: arXiv
Year: 2015
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C50 05C10 15A15

description: In this paper, we establish a new zeta function based on the Bartholdi zeta function for an undirected graph G called the reduced Bartholdi zeta function. We study the relation between its coefficients and the structure of the graph, and demonstrate that the coefficients count the star subgraphs in the symmetric digraph D(G). Moreover, we investigate the properties of semi principle minors extracted from the adjacency matrix of the oriented line graph of G. We also present a general formula for calculating all the coefficients of the reduced Bartholdi zeta function.
Electromagnet Design and Geometric Considerations for a Positronium CP Violation Experiment
Creators: name: Petersburg, Ryan
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: Charge parity (CP) violation has not yet been definitively observed in the lepton sector. The
3-photon decay of orthopositronium has been used to search for such an asymmetry manifested
as a nonzero angular correlation (^S ∙ ^k1)(^S ∙ ^k1 x ^k2) between the momentum vectors of the
three decay photons (│^k1│ >│^k2│ > │→ k3│) and the orthopositronium spin (^S).  Current limits
on this correlation are at the 10[-3] level. The CP Aberrant Leptons in Orthopositronium
Experiment (CALIOPE) is attempting to improve this limit by reducing statistical uncertainties
with increased detector coverage. This thesis presents numerical studies to aid in the design of a
high-homogeneity electromagnet for use with CALIOPE. It also presents an experiment-specific
coordinate system to be considered for event geometry analysis.
Learning Visual Representations for Transfer Learning by Suppressing Texture
Creators: name: Mishra, Shlok
name: Shah, Anshul
name: Bansal, Ankan
name: Anjaria, Janit
name: Choi, Jonghyun
name: Shrivastava, Abhinav
name: Sharma, Abhishek
name: Jacobs, David
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Recent literature has shown that features obtained from supervised training of CNNs may over-emphasize texture rather than encoding high-level information. In self-supervised learning in particular, texture as a low-level cue may provide shortcuts that prevent the network from learning higher level representations. To address these problems we propose to use classic methods based on anisotropic diffusion to augment training using images with suppressed texture. This simple method helps retain important edge information and suppress texture at the same time. We empirically show that our method achieves state-of-the-art results on object detection and image classification with eight diverse datasets in either supervised or self-supervised learning tasks such as MoCoV2 and Jigsaw. Our method is particularly effective for transfer learning tasks and we observed improved performance on five standard transfer learning datasets. The large improvements (up to 11.49\%) on the Sketch-ImageNet dataset, DTD dataset and additional visual analyses with saliency maps suggest that our approach helps in learning better representations that better transfer.
Concentration-adjustable micromixer using droplet injection into a microchannel
Creators: name: Sakurai, Ryosuke
name: Yamamoto, Ken
name: Motosuke, Masahiro
Publisher: name: arXiv
Year: 2018
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A novel micromixing technique that exploit a thrust of droplets into the mixing interface is developed. The technique enhances the mixing by injecting immiscible droplets in a mixing channel and the methodology enables a control of the mixing level simply by changing the droplet injection frequency. We experimentally characterize the mixing performance with various droplet injection frequencies, channel geometries, and diffusion coefficients. Consequently, it is revealed that the mixing level increases with the injection frequency, the droplet-diameter-to-channel-width ratio, and the diffusion coefficient. Moreover, the mixing level is found to be a linear function of the droplet volume fraction in the mixing section. The results suggest that the developed technique can produce a large amount of sample solution whose concentration is arbitrary and precisely controllable with a simple and stable operation.
description: 12 + 3 pages, 6 + 4 figures
Effect of high oxygen pressure annealing on superconducting Nd1.85Ce0.15CuO4 thin films by pulsed laser deposition from Cu-enriched targets
Creators: name: Hoek, M.
name: Coneri, F.
name: Leusink, D. P.
name: Eerkes, P. D.
name: Wang, X. Renshaw
name: Hilgenkamp, H.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We show that the quality of Nd1.85Ce0.15CuO4 films grown by pulsed laser deposition can be enhanced by using a non-stoichiometric target with extra copper added to suppress the formation of a parasitic (Nd, Ce)2O3 phase. The properties of these films are less dependent on the exact annealing procedure after deposition as compared to films grown from a stoichiometric target. Film growth can be followed by a 1 bar oxygen annealing, after an initial vacuum annealing, while retaining the superconducting properties and quality. This enables the integration of electron-doped cuprates with their hole-doped counterparts on a single chip, to create, for example, superconducting pn-junctions.
description: This is an author-created, un-copyedited version of an article accepted for publication in Superconductor Science and Technology. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0953-2048/27/4/044017
Cicadella viridis
Creators: name: Hasbroucq, Séverine
name: Casarin, Noemi
name: Czwienczek, Ewelina
name: Bragard, Claude
name: Grégoire, Jean-Claude
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hemiptera
Cicadellidae
Cicadella
Cicadella viridis

description: Cicadella viridis
 Distribution in Belgium
It was found in all the ecological regions of the country (Fig. 4). We collected it in 28 sites out of 36.
10
 Adult phenology
 Adults were found from May to December (Fig. 5). We collected them in higher number from June to September, mostly in humid meadows but also along roads and in dry meadows, on a large range of plants but mostly on Juncus spp. (Table 4).
 Oviposition, egg winter diapause and voltinism
 Oviposition was observed in slits inside Juncus stems. The eggs overwinter and there is no diapause.
 Immature development
Under outdoor conditions, development of the first generation started in late April and ended in mid-June (Fig. 6A). There are five instars and nymphs are mobile, without spittle protection. The cephalic capsule measures between 0,5–1,6 mm according to nymphal instar. Immature development lasts from 49 to 62 days. The adults appeared between June 6 and 19 (Fig. 6A).
 Under controlled conditions, immature development lasted 21–27 days. The last 5 th instar nymphs appeared after 25 days (Fig. 6B).
 Local abundance in the field
 37 oviposition slits were measured and the eggs therein were counted. The slits were 3 to 8 mm long (mean: 5,9 ± 1, 1 mm) and contained a mean number of 10,3 ± 2, 4 eggs. There was a linear relationship between the slits' length and the eggs they contained (y=1,7662x; R 2 =0,7177; p<<0.001), corresponding to 1.8 eggs/mm in the slits. 32% to 83% of the Juncus stems in the samples contained eggs. Extrapolating from the mean length of oviposition slits in each sample and from the linear relationship between slit length and egg load, we estimated that there were ca 500 to 3,300 eggs in the samples, corresponding to a density of 6,000 to 37,000 eggs per m 2 (Table 5).
 Parasitism by the egg-parasitoid Anagrus incarnatus (Hymenoptera, Mymaridae)
Parasitism rates varied from 3.48% to 11.77% in the samples, with an average of 6.67% (Table 6).
description: Published as part of Hasbroucq, Séverine, Casarin, Noemi, Czwienczek, Ewelina, Bragard, Claude & Grégoire, Jean-Claude, 2020, Distribution, adult phenology and life history traits of potential insect vectors of Xylella fastidiosa in Belgium, pp. 1-21 in Belgian Journal of Entomology 92 on pages 10-12, DOI: 10.5281/zenodo.13709666
Maximal ergodic inequalities for some positive operators on noncommutative $L_p$-spaces
Creators: name: Hong, Guixiang
name: Ray, Samya Kumar
name: Wang, Simeng
Publisher: name: arXiv
Year: 2019
Subjects: subject: Operator Algebras (math.OA)
subject: Dynamical Systems (math.DS)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics

description: In this paper, we establish the one-sided maximal ergodic inequalities for a large subclass of positive operators on noncommutative $L_p$-spaces for a fixed $1
description: version 7, revised following referee's comments, to appear in Journal of the London Mathematical Society. The journal reference was incorrect in the previous version (maybe due to some bug!), 41 pages
COVID-19 Narratives Effect on Prosocial, Policy, and Health Outcomes
Creators: name: Mattan, Bradley
name: Andrews, Mary
name: Moore-Berg, Samantha
name: Pei, Rui
name: Falk, Emily
name: Hameiri, Boaz
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology
subject: COVID-19
subject: dehumanization
subject: policy support

description: The full preregistration for these hypotheses can be found in the PDF.
A Gordian Pair of Links
Creators: name: Kusner, Rob
name: Kusner, Wöden
Publisher: name: arXiv
Year: 2019
Subjects: subject: Geometric Topology (math.GT)
subject: Other Condensed Matter (cond-mat.other)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 57M25, 53A04, 52C25, 55R80

description: We construct a pair of isotopic link configurations that are not thick isotopic while preserving total length.
description: 2 pages, 1 figure
Self-efficacy for eating a healthy diet can moderate the impact of stress on diet quality
Creators: name: Dobson, Phillip
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2019

description: Introduction. Family child care home (FCCH) providers are individuals who care for children in their own home. This group has been identified as at-risk for high stress and poor sleep quality, contributing to poor health behaviors. High self-efficacy for the diet may moderate the relationship between these risk factors and diet quality. Little research has examined how these factors may relate to one another when describing the health of FCCH providers.Methods. We utilized baseline data on FCCH providers from the cluster-randomized control trial Keys to a Healthy Family Child Care Home. We estimated correlations between self-reported perceived stress, sleep quality, diet self-efficacy and diet quality. A linear regression including interaction terms was run to assess how diet self-efficacy may moderate the relationships between perceived stress and sleep quality, respectively, and diet quality. Results. Perceived stress and sleep quality were not significantly correlated with diet quality in this population. However, diet self-efficacy was identified as a moderator of the association between perceived stress and diet quality. With high diet self-efficacy, increasing perceived stress was associated with improved diet quality.Conclusion. Improving self-efficacy may be one critical strategy for improving the health of a population at-risk for poor behaviors. As FCCH providers care for many children and model behaviors, improving their diet quality may positively impact the children in their care.
Positive wellbeing benefits for clinicians from medical teaching
Creators: name: Kelley, Emma
name: Wardle, Katie
name: Nash, Eleanor
name: Bennett, Sarah
Publisher: name: F1000 Research Limited
Year: 2023

description: Background
 The Covid-19 pandemic increased stress and pressures on the workforce of healthcare professionals. Post-pandemic, there has been an increase in healthcare professionals reporting stress and burnout, struggling to meet the challenges the UK healthcare system is facing.
 Medical education is recognised for helping healthcare professionals keep their own skills and knowledge up to date. It is emerging that teaching may also help to protect the wellbeing of healthcare professionals.

 Summary of Work
 Clinicians at the main hospital trusts affiliated with UCL Medical School were asked anonymously, via a voluntary online survey, to provide their experiences of teaching medical students, as part of a wider research project. The survey allowed free-text responses, which were thematically analysed. Ethical approval was obtained by UCL and NHS HRA ethics.

 Summary of Results
 Two main themes emerged from the thematic analysis: i) Experience of students; ii) Personal satisfaction from teaching. Personal satisfaction from teaching was further split into four subcategories: Job enjoyment; Improving clinical knowledge and skills; receiving positive feedback; general enjoyment. Examples from the survey include:
 “Teaching students has been one of the best things about my job for years.”
 “Teaching students is a great joy. It keeps me up to date and there is great satisfaction from supporting the next generation of doctors.”
 “It is rewarding to see enthusiastic young doctors grow in confidence and ability during their attachments”
 “Our students are motivated and motivating!”
 “They keep me grounded - by teaching them I have to keep my knowledge up to date - this makes me a better and safer doctor”

 Discussions and Conclusion
 With clinicians feeling overworked and stressed, teaching medical students may seem an extra burden. These results demonstrate that teaching had a positive effect on individual clinicians, improving job satisfaction and motivation, which will enhance individual wellbeing.
 With healthcare professionals experiencing high levels of stress and burnout, any additional protective factor to help clinicians remain in the workforce is essential. This survey has shown that teaching medical students is a positive experience, helping clinicians find fulfilment in their clinical work, benefitting students, the workforce, and patients.
Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning
Creators: name: Cheng, Lixue
name: Kovachki, Nikola B.
name: Welborn, Matthew
name: Miller, Thomas F.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Machine learning (ML) in the representation of molecular-orbital-based (MOB) features has been shown to be an accurate and transferable approach to the prediction of post-Hartree-Fock correlation energies. Previous applications of MOB-ML employed Gaussian Process Regression (GPR), which provides good prediction accuracy with small training sets; however, the cost of GPR training scales cubically with the amount of data and becomes a computational bottleneck for large training sets. In the current work, we address this problem by introducing a clustering/regression/classification implementation of MOB-ML. In a first step, regression clustering (RC) is used to partition the training data to best fit an ensemble of linear regression (LR) models; in a second step, each cluster is regressed independently, using either LR or GPR; and in a third step, a random forest classifier (RFC) is trained for the prediction of cluster assignments based on MOB feature values. Upon inspection, RC is found to recapitulate chemically intuitive groupings of the frontier molecular orbitals, and the combined RC/LR/RFC and RC/GPR/RFC implementations of MOB-ML are found to provide good prediction accuracy with greatly reduced wall-clock training times. For a dataset of thermalized geometries of 7211 organic molecules of up to seven heavy atoms, both implementations reach chemical accuracy (1 kcal/mol error) with only 300 training molecules, while providing 35000-fold and 4500-fold reductions in the wall-clock training time, respectively, compared to MOB-ML without clustering. The resulting models are also demonstrated to retain transferability for the prediction of large-molecule energies with only small-molecule training data. Finally, it is shown that capping the number of training datapoints per cluster leads to further improvements in prediction accuracy with negligible increases in wall-clock training time.
description: 31 pages, 10 figures, with an SI
Quantitative disjointness of nilflows from horospherical flows
Creators: name: Katz, Asaf
Publisher: name: arXiv
Year: 2019
Subjects: subject: Dynamical Systems (math.DS)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 37A17

description: We prove a quantitative variant of a disjointness theorem of nilflows from horospherical flows following a technique of Venkatesh, combined with the structural theorems for nilflows by Green, Tao and Ziegler.
Fiber-Wise Linear Differential Operators
Creators: name: Pugliese, Fabrizio
name: Sparano, Giovanni
name: Vitagliano, Luca
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: 58A99, 53B99, 53C99

description: We define a new notion of fiber-wise linear differential operator on the total space of a vector bundle $E$. Our main result is that fiber-wise linear differential operators on $E$ are equivalent to (polynomial) derivations of an appropriate line bundle over $E^\ast$. We believe this might represent a first step towards a definition of multiplicative (resp. infinitesimally multiplicative) differential operators on a Lie groupoid (resp. a Lie algebroid). We also discuss the linearization of a differential operator around a submanifold.
description: 26 pages, comments welcome!
The mass function of hydrogen-rich white dwarfs: robust observational evidence for a distinctive high-mass excess near 1Msun
Creators: name: Rebassa-Mansergas, A.
name: Rybicka, M.
name: Liu, X. -W.
name: Han, Z.
name: Garcia-Berro, E.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The mass function of hydrogen-rich atmosphere white dwarfs has been frequently found to reveal a distinctive high-mass excess near 1Msun. However, a significant excess of massive white dwarfs has not been detected in the mass function of the largest white dwarf catalogue to date from the Sloan Digital Sky Survey. Hence, whether a high-mass excess exists or not has remained an open question. In this work we build the mass function of the latest catalogue of data release 10 SDSS hydrogen-rich white dwarfs, including the cool and faint population (i.e. effective temperatures 6,000 ~ 12,000 K, Mbol
description: Accepted for publication by MNRAS
A Computational Model for the Metabolism of Myo-Inositol Hexakisphosphate
Creators: name: Smith, James Evan
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2016

description: This project formulates a computational model for the biochemical network interlacing
inositol phosphates (InsPs) critical in the metabolism of myo-inositol hexakisphosphate (InsP6). The role these InsPs are believed to play in developmental and homeostatic regulation underlines the need for novel analysis in model organisms like Arabidopsis thaliana. While some effects with apparent cause may be accessible by means of conventional analytics, a computational model for InsP synthesis could facilitate the resolution of far more complex queries and provide a comprehensive assessment of potential, even unintuitable, behavior. The primary goal of this project was to formulate an in silico model and to verify if, and to what extent, borrowed reaction kinetics for the InsP synthesis network recapitulate the behavior seen in traditional, in vivo studies. Preliminary results suggest that while our model’s response to loss of function mutations emulates some aspects of the expected results, divergent phenomena indicate the need for deliberate modification. A subsidiary goal of this project was to demonstrate the utility of the model through its application in a variety of perturbation schemes. The model was able to, among other goal-oriented objectives,
verify behavioral expectations in response to an indirect implementation of an energy-sensing kinase, SnRK1, and thereby corroborate contemporary understanding of certain protein-protein interactions without the need for expensive testing. Clearly, the flexibility and heuristic capacity of this model are of value and suggest that this project may very well represent the state of the art insofar as computational modeling of InsP signaling is concerned. In the future, iterative revision will only help to improve this model’s efficacy and predictive power.
Philaenus spumarius
Creators: name: Hasbroucq, Séverine
name: Casarin, Noemi
name: Czwienczek, Ewelina
name: Bragard, Claude
name: Grégoire, Jean-Claude
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hemiptera
Aphrophoridae
Philaenus
Philaenus spumarius

description: Philaenus spumarius
 Distribution in Belgium
It is present in all the country's ecological regions (Fig. 1). During our field samplings, it was found in all 36 sites. The insects were caught in all environments, on ground vegetation (in meadows, dunes, bogs) as well as on trees and bushes (willows, oaks, birches…) (Table 4).
 Adult phenology
The adults can be found from April to November, with higher population from June to September (Fig. 2).
 Oviposition, egg winter diapause and voltinism
In the population observed in the laboratory, the eggs were observed at the base of grass blades, protected by a layer of hardened foam. In this univoltine species, the eggs overwinter and need a winter period to overcome diapause.
 Immature development under outdoor conditions
It took place between early April and early June (Fig. 3). There are five instars, with spittle protection. Immature development lasted 53 to 63 days, with adults appearing between May 29 and June 6.
description: Published as part of Hasbroucq, Séverine, Casarin, Noemi, Czwienczek, Ewelina, Bragard, Claude & Grégoire, Jean-Claude, 2020, Distribution, adult phenology and life history traits of potential insect vectors of Xylella fastidiosa in Belgium, pp. 1-21 in Belgian Journal of Entomology 92 on page 8, DOI: 10.5281/zenodo.13709666
Topological Learning for Brain Networks
Creators: name: Songdechakraiwut, Tananun
name: Chung, Moo K.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: Computational Geometry (cs.CG)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: This paper proposes a novel topological learning framework that integrates networks of different sizes and topology through persistent homology. Such challenging task is made possible through the introduction of a computationally efficient topological loss. The use of the proposed loss bypasses the intrinsic computational bottleneck associated with matching networks. We validate the method in extensive statistical simulations to assess its effectiveness when discriminating networks with different topology. The method is further demonstrated in a twin brain imaging study where we determine if brain networks are genetically heritable. The challenge here is due to the difficulty of overlaying the topologically different functional brain networks obtained from resting-state functional MRI onto the template structural brain network obtained through diffusion MRI.
description: 31 pages, 14 figures, 4 tables, code at https://github.com/topolearn
Pupil size as an index of emotion
Creators: name: de Winter, Joost
name: Dodou, Dimitra
name: Kooijman, Lars
Publisher: name: Open Science Framework
Year: 2022

description: The goal of this study is to directly replicate Hess and Goodwin (1974) and Hess (1969) and to conceptually replicate Hess and Polt (1960) and Polt and Hess (1968). These studies looked into the effects of visual stimuli on pupil dilation. Each of these study implemented novel stimuli to investigate their effects on pupil dilation (an episode from a TV series, schematic depictions of pupils, photographs with different themes, and visually presented words, respectively), and a differentiation was made between the effects seen in male and female participants.
Existence, Stability and Dynamics of Discrete Solitary Waves in a Binary Waveguide Array
Creators: name: Shen, Y.
name: Kevrekidis, P. G.
name: Srinivasan, G.
name: Aceves, A. B.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Optics (physics.optics)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: Recent work has explored binary waveguide arrays in the long-wavelength, near-continuum limit, here we examine the opposite limit, namely the vicinity of the so-called anti-continuum limit. We provide a systematic discussion of states involving one, two and three excited waveguides, and provide comparisons that illustrate how the stability of these states differ from the monoatomic limit of a single type of waveguide. We do so by developing a general theory which systematically tracks down the key eigenvalues of the linearized system. When we find the states to be unstable, we explore their dynamical evolution through direct numerical simulations. The latter typically illustrate, for the parameter values considered herein, the persistence of localized dynamics and the emergence for the duration of our simulations of robust quasi-periodic states for two excited sites. As the number of excited nodes increase, the unstable dynamics feature less regular oscillations of the solution's amplitude.
On the Brauer group of bielliptic surfaces
Creators: name: Bergström, Jonas
name: Ferrari, Eugenia
name: Tirabassi, Sofia
name: Vodrup, Magnus
Publisher: name: arXiv
Year: 2019
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14J27, 14F22, 14K02, 14K22

description: We provide explicit generators for the torsion of the second cohomology of bielliptic surfaces, and we use this to study pullback map between Brauer group of a bielliptic surface and that of its canonical cover.
description: Main Article by E. Ferrari, S. Tirabassi and M. Vodrup. Appendix by J. Bergstr\"om and S. Tirabassi. Comments are welcome.V2: fixed a minor mistake in the proof of lemma 4.1, improved introduction, added examples
Systematic review and meta-analysis of the calibration of confidence judgments in individuals with schizophrenia spectrum disorders
Creators: name: Faivre, Nathan
name: Martin, Rouy
name: Nalborczyk, Ladislas
name: Pereira, Michael
name: Roux, Paul
name: saliou, pauline
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Mental Disorders
subject: Psychiatry and Psychology
subject: Medicine and Health Sciences
subject: Cognition and Perception
subject: Behavior and Behavior Mechanisms
subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology
subject: confidence
subject: metacognition
subject: schizophrenia

description: Preregistration available on Prospero: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=188614
The first $\ell^2$-Betti number and groups acting on trees
Creators: name: Chatterji, Indira
name: Hughes, Sam
name: Kropholler, Peter
Publisher: name: arXiv
Year: 2020
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 20J05, 20E08, 20F05

description: We generalise results of Thomas, Allcock, Thom-Petersen, and Kar-Niblo to the first $\ell^2$-Betti number of quotients of certain groups acting on trees by subgroups with free actions on the edge sets of the graphs.
description: 6 pages
Using machine learning and information visualisation for discovering latent topics in Twitter news
Creators: name: Vargas-Calderón, Vladimir
name: Dominguez, Marlon Steibeck
name: Parra-A., N.
name: Vinck-Posada, Herbert
name: Camargo, Jorge E.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Social and Information Networks (cs.SI)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: We propose a method to discover latent topics and visualise large collections of tweets for easy identification and interpretation of topics, and exemplify its use with tweets from a Colombian mass media giant in the period 2014--2019. The latent topic analysis is performed in two ways: with the training of a Latent Dirichlet Allocation model, and with the combination of the FastText unsupervised model to represent tweets as vectors and the implementation of K-means clustering to group tweets into topics. Using a classification task, we found that people respond differently according to the various news topics. The classification tasks consists of the following: given a reply to a news tweet, we train a supervised algorithm to predict the topic of the news tweet solely from the reply. Furthermore, we show how the Colombian peace treaty has had a profound impact on the Colombian society, as it is the topic in which most people engage to show their opinions.
description: 10 pages, 6 figures, to be presented at SmartTech-IC 2019
The Intersection of Storytelling and Prose in Two Works of Francophone African Literature
Creators: name: Barsanti, Renata
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2016

description: The literary works of Bâ and Dadié go beyond these theorists’ wary evaluations of
novels, even solving the problems that they pose. Despite the spread of capitalism and the ever-changing
nature of human experience, these works seamlessly incorporate themes of
mythological ancestors and the style of orality so to incorporate the imprint of other storytellers.
Thus, they serve as an intersection between storytelling and written prose, similar to Leskov in a
way that Benjamin predicted would be rendered impossible by society’s trajectory. Further,
although these works were likely crafted in the midst of vying for the attention of Western
publishers and readers, their incorporation of tradition enables them to subvert the problem of a
market with certain interests and limited knowledge, forcing readers to engage with, rather than
merely consume, the texts and cultures they portray. The interplay of orality and myth has five
clear functions in the texts of Bâ and Dadié: it puts emphasis on a theme of communication and
connectedness, shapes the plot’s trajectory and marks its transitions, defines character, illustrates
settings, and generates social commentary. I will address each of these effects and how they are
manifest in these works to show how these authors redefine the tricky relationship between oral
stories and written literature. Mythical and oral components of the texts evoke storytelling
traditions in a way that jolts modern readers of novels out of a passive mode of consumption,
into a more dynamic and engaged relation with the text and the culture it depicts. In this way,
they reconcile the disconnect between tradition and capitalist publishing practices and, at least
partially, allow their authors to evade the commodifying, exoticizing forces of the publishing
market.
SIMCor. Deliverable 2.2 - Communication and dissemination strategy plan (LYN, M3)
Creators: name: Rizzo, Anna
Publisher: name: Zenodo
Year: 2021
Subjects: communication
dissemination
events
website
social media
stakeholder

description: The present document is meant to illustrate the SIMCor communication and dissemination (C&D) strategy, along with the relevant activities carried out in the first three months of project implementation. After a brief introduction of WP2 – Engagement, communication, dissemination and exploitation, its objectives, task structure and deliverables, the second chapter describes the C&D strategy plan in detail, including connection with exploitation activities. The strategy is articulated into a diversified range of activities, including web communication, dissemination events, publications, multimedia, as well as a range of engagement, feedback gathering, collaboration and cross-dissemination initiatives with relevant stakeholders within consortium partners’ contact networks, including institutions, associations, foundations, regulatory bodies and standards committees, as well as other in-silico trial and eHealth research projects. To do so, the consortium will leverage a wide range of communication channels, including project website and social media, events and journals, as well as the support of consortium partners and other partner projects channels. The third chapter will present the activities carried out in M1-M3, including preparation of project branding (i.e., logo, icons, infographics, presentation templates, banners for acknowledgment of funding), communication materials (i.e., a model presentation for external communication), setup of website and social media channels, mapping of consortium channels and stakeholder networks, together with main action items for M6 and beyond.
description: SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.
A model for predicting price polarity of real estate properties using information of real estate market websites
Creators: name: Vargas-Calderón, Vladimir
name: Camargo, Jorge E.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: This paper presents a model that uses the information that sellers publish in real estate market websites to predict whether a property has higher or lower price than the average price of its similar properties. The model learns the correlation between price and information (text descriptions and features) of real estate properties through automatic identification of latent semantic content given by a machine learning model based on doc2vec and xgboost. The proposed model was evaluated with a data set of 57,516 publications of real estate properties collected from 2016 to 2018 of Bogotá city. Results show that the accuracy of a classifier that involves text descriptions is slightly higher than a classifier that only uses features of the real estate properties, as text descriptions tends to contain detailed information about the property.
Quantum Circuit Evolution on NISQ Devices
Creators: name: Franken, Lukas
name: Georgiev, Bogdan
name: Mücke, Sascha
name: Wolter, Moritz
name: Heese, Raoul
name: Bauckhage, Christian
name: Piatkowski, Nico
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Variational quantum circuits build the foundation for various classes of quantum algorithms. In a nutshell, the weights of a parametrized quantum circuit are varied until the empirical sampling distribution of the circuit is sufficiently close to a desired outcome. Numerical first-order methods are applied frequently to fit the parameters of the circuit, but most of the time, the circuit itself, that is, the actual composition of gates, is fixed. Methods for optimizing the circuit design jointly with the weights have been proposed, but empirical results are rather scarce. Here, we consider a simple evolutionary strategy that addresses the trade-off between finding appropriate circuit architectures and parameter tuning. We evaluate our method both via simulation and on actual quantum hardware. Our benchmark problems include the transverse field Ising Hamiltonian and the Sherrington-Kirkpatrick spin model. Despite the shortcomings of current noisy intermediate-scale quantum hardware, we find only a minor slowdown on actual quantum machines compared to simulations. Moreover, we investigate which mutation operations most significantly contribute to the optimization. The results provide intuition on how randomized search heuristics behave on actual quantum hardware and lay out a path for further refinement of evolutionary quantum gate circuits.
description: 8 pages, 7 figures. To appear in the proceedings of IEEE Congress on Evolutionary Computation (CEC) 2022
Exceptional constructed-response situational judgment test performance relates to personal intelligence
Creators: name: Henning, Colin
name: Chapman, Roger
name: Sitarenios, Gill
name: MacIntosh, Alexander
name: Parker, James
Publisher: name: F1000 Research Limited
Year: 2023

description: Background
 Beyond academic aptitude, how potential future healthcare providers will conduct themselves professionally has seen an expanded emphasis in holistic applicant selection. While professional conduct and behvaiours are culturally and contextualy specific, performance has been associated with motivational, social, and emotional intelligence.

 Situational Judgement Tests (SJTs) are increasingly used in holistic selection as a reliable assessment of non-academic attributes. Casper is a widely used constructed-response SJT for health professions applicant selection designred to measure social intelligence and professionalsim.

 However, the association between Casper and motivational, social, and emotional intelligence competencies remain unknown. The Multidimensional Inventory for Personal Intelligence (MIPI) has been found to predict workplace performance and assesses measures three competencies: motivational, social, and emotional intellignece (Parker, 2021).

 This study evaluates the association between Casper SJT performance and motivational, social, and emotional competencies as assessed through the MIPI.

 Summary of Work
 Health professions prorgram applicants who completed Casper and agreed to be contacted for future research were invited to complete the MIPI. The relationship between Casper and each MIPI competency (motivational, social, and emotional intelligence) was quantified through a series of mixed model ANOVAs. Low and High Casper performance groups were set based on the 15th and 85th percentile cut-off scores and used as the independent between-subject variable while MIPI competency scores were the dependent variable.

 Summary of Results
 High Casper performers scored significantly higher on MIPI motivational, social, and emotional intelligence competencies as compared to low Casper performers (p <= 0.003). Specifically, 11 of 14 MIPI sub-competencies showed significant differences between high and low Casper performance groups. These differences reflected moderate and large effect sizes (Cohen's d between 0.44 and 0.84, N=303).

 Discussion and Conclusion
 Findings support for the use of Casper as a measure of motivational, social, and emotional intelligence for high stakes selection. The comparison of high and low Casper performance groups suggests that differences in personal intelligence become more crucial to truly excel on the Casper SJT. Future analyses should consider an expanded study comparing Casper and MIPI results across demographics groups.
3-state Hamiltonians associated to solvable 33-vertex models
Creators: name: Crampe, N.
name: Frappat, L.
name: Ragoucy, E.
name: Vanicat, M.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Using the nested coordinate Bethe ansatz, we study 33-vertex models, where only one global charge with degenerate eigenvalues exists and each site possesses three internal degrees of freedom. In the context of Markovian processes, they correspond to diffusing particles with two possible internal states which may be exchanged during the diffusion (transmutation). The first step of the nested coordinate Bethe ansatz is performed providing the eigenvalues in terms of rapidities. We give the constraints ensuring the consistency of the computations. These rapidities also satisfy Bethe equations involving $4\times 4$ R-matrices, solutions of the Yang--Baxter equation which implies new constraints on the models. We solve them allowing us to list all the solvable 33-vertex models.
description: 14 pages; title changed according to referee request; an appendix added to describe explicitely the Hamiltonian
Cercopis vulnerata Rossi 1807
Creators: name: Hasbroucq, Séverine
name: Casarin, Noemi
name: Czwienczek, Ewelina
name: Bragard, Claude
name: Grégoire, Jean-Claude
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hemiptera
Cercopidae
Cercopis
Cercopis vulnerata

description: Cercopis vulnerata
 Distribution in Belgium
 C. vulnerata was found in all the ecological regions of the country (Fig. 7), in 21 sites out of 36, in very diverse environments (meadows, vineyard, urban parks, forest edges, orchards, roadsides) and on various plants, mainly grasses, but also tree species such as oaks, fruit trees, elderberries, dogwoods (Table 4).
 Adult phenology
The adult stage is relatively short, occurring mostly in May, with a few individuals to be found in April and in June-August (Fig. 8).
description: Published as part of Hasbroucq, Séverine, Casarin, Noemi, Czwienczek, Ewelina, Bragard, Claude & Grégoire, Jean-Claude, 2020, Distribution, adult phenology and life history traits of potential insect vectors of Xylella fastidiosa in Belgium, pp. 1-21 in Belgian Journal of Entomology 92 on page 12, DOI: 10.5281/zenodo.13709666
A new method for faster and more accurate inference of species associations from big community data
Creators: name: Pichler, Maximilian
name: Hartig, Florian
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: Populations and Evolution (q-bio.PE)
subject: Applications (stat.AP)
subject: Computation (stat.CO)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: 1. Joint Species Distribution models (JSDMs) explain spatial variation in community composition by contributions of the environment, biotic associations, and possibly spatially structured residual covariance. They show great promise as a general analytical framework for community ecology and macroecology, but current JSDMs, even when approximated by latent variables, scale poorly on large datasets, limiting their usefulness for currently emerging big (e.g., metabarcoding and metagenomics) community datasets. 2. Here, we present a novel, more scalable JSDM (sjSDM) that circumvents the need to use latent variables by using a Monte-Carlo integration of the joint JSDM likelihood and allows flexible elastic net regularization on all model components. We implemented sjSDM in PyTorch, a modern machine learning framework that can make use of CPU and GPU calculations. Using simulated communities with known species-species associations and different number of species and sites, we compare sjSDM with state-of-the-art JSDM implementations to determine computational runtimes and accuracy of the inferred species-species and species-environmental associations. 3. We find that sjSDM is orders of magnitude faster than existing JSDM algorithms (even when run on the CPU) and can be scaled to very large datasets. Despite the dramatically improved speed, sjSDM produces more accurate estimates of species association structures than alternative JSDM implementations. We demonstrate the applicability of sjSDM to big community data using eDNA case study with thousands of fungi operational taxonomic units (OTU). 4. Our sjSDM approach makes the analysis of JSDMs to large community datasets with hundreds or thousands of species possible, substantially extending the applicability of JSDMs in ecology. We provide our method in an R package to facilitate its applicability for practical data analysis.
description: 65 pages, 5 figures
The United States and Russia: Cooperation and Counterterrosim
Creators: name: Matan, Maria
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2016

description: The end of the Second World War saw the emergence of a bipolar world led by
two superpowers with contrasting ideologies. The United States represented the West,
championing democracy and capitalism, while the Soviet Union represented the East,
championing a totalitarian regime and communism. Tensions peaked with the onset of
the Cold War in the 1950s, a period defined by a climate of intense fear and mistrust. The
fall of the Soviet Union in December 1991 signified the end of communism in Russia and
left Russia in a weaker position on the international stage. Although Russia became
weaker after the dissolition of the Union of Soviet Republics (USSR), it reamins
imperative that the United States and Russia cooperate on international affairs, especially
the global terrorist threat. Cycles of cooperation and conflict define the relationship
between the United States and Russia. Differing ideologies, a history of mistrust, and
conflicting interests complicate their ability to cooperate. However, issues such as
counterterrorism, climate change, and nonproliferation keep bringing both countries back
to the bargaining table.
In this thesis I seek to identify which conditions are favorable to U.S.-Russian
counterterrorism cooperation. Understaing how often and under which circumstances the
United States and Russia choose to cooperate is necessary to better counterterroirsm
policy. In November 2015 alone, terrorists killed 140 people in Paris, 44 people in Beirut,
and 22 people in Mali (Karimi and Burnett 2015; McKirdy et al. 2015; McLaughlin and
Shoichet 2015). The attacks in Paris, Beiruit, and Mali signify the growing threat of
global jihadi terrorism. Terrorism has been around for over 1,000 years, but modern
terrorist groups, such as Al-Qaeda and the Islamic State (IS), show unprecendented
capabilities in recruting and acquiring financing and territory. Through the internet and
other sources of communciation, terrorist groups are able to develop global networks and
establish cells around the world.
Bao: Learning to Steer Query Optimizers
Creators: name: Marcus, Ryan
name: Negi, Parimarjan
name: Mao, Hongzi
name: Tatbul, Nesime
name: Alizadeh, Mohammad
name: Kraska, Tim
Publisher: name: arXiv
Year: 2020
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: Query optimization remains one of the most challenging problems in data management systems. Recent efforts to apply machine learning techniques to query optimization challenges have been promising, but have shown few practical gains due to substantive training overhead, inability to adapt to changes, and poor tail performance. Motivated by these difficulties and drawing upon a long history of research in multi-armed bandits, we introduce Bao (the BAndit Optimizer). Bao takes advantage of the wisdom built into existing query optimizers by providing per-query optimization hints. Bao combines modern tree convolutional neural networks with Thompson sampling, a decades-old and well-studied reinforcement learning algorithm. As a result, Bao automatically learns from its mistakes and adapts to changes in query workloads, data, and schema. Experimentally, we demonstrate that Bao can quickly (an order of magnitude faster than previous approaches) learn strategies that improve end-to-end query execution performance, including tail latency. In cloud environments, we show that Bao can offer both reduced costs and better performance compared with a sophisticated commercial system.