cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
Creators: name: Skolik, Andrea
name: Jerbi, Sofiene
name: Dunjko, Vedran
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum machine learning (QML) has been identified as one of the key fields that could reap advantages from near-term quantum devices, next to optimization and quantum chemistry. Research in this area has focused primarily on variational quantum algorithms (VQAs), and several proposals to enhance supervised, unsupervised and reinforcement learning (RL) algorithms with VQAs have been put forward. Out of the three, RL is the least studied and it is still an open question whether VQAs can be competitive with state-of-the-art classical algorithms based on neural networks (NNs) even on simple benchmark tasks. In this work, we introduce a training method for parametrized quantum circuits (PQCs) that can be used to solve RL tasks for discrete and continuous state spaces based on the deep Q-learning algorithm. We investigate which architectural choices for quantum Q-learning agents are most important for successfully solving certain types of environments by performing ablation studies for a number of different data encoding and readout strategies. We provide insight into why the performance of a VQA-based Q-learning algorithm crucially depends on the observables of the quantum model and show how to choose suitable observables based on the learning task at hand. To compare our model against the classical DQN algorithm, we perform an extensive hyperparameter search of PQCs and NNs with varying numbers of parameters. We confirm that similar to results in classical literature, the architectural choices and hyperparameters contribute more to the agents' success in a RL setting than the number of parameters used in the model. Finally, we show when recent separation results between classical and quantum agents for policy gradient RL can be extended to inferring optimal Q-values in restricted families of environments.
description: Version accepted in Quantum journal, 16+3 pages, 14 figures
51494: Battle of Menin Road Ridge, 1917
Creators: name: Project Team, First World War Poetry Digital Archive
Publisher: name: University of Oxford
Year: 2024
Subjects: classificationCode: 430304
subject: British history
classificationCode: 430308
subject: European history (excl. British, classical Greek and Roman)
classificationCode: 430316
subject: International history

description: South African Scottish troops wait in a support trench, east of Frezenberg Ridge.
Anchor Pruning for Object Detection
Creators: name: Bonnaerens, Maxim
name: Freiberger, Matthias
name: Dambre, Joni
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This paper proposes anchor pruning for object detection in one-stage anchor-based detectors. While pruning techniques are widely used to reduce the computational cost of convolutional neural networks, they tend to focus on optimizing the backbone networks where often most computations are. In this work we demonstrate an additional pruning technique, specifically for object detection: anchor pruning. With more efficient backbone networks and a growing trend of deploying object detectors on embedded systems where post-processing steps such as non-maximum suppression can be a bottleneck, the impact of the anchors used in the detection head is becoming increasingly more important. In this work, we show that many anchors in the object detection head can be removed without any loss in accuracy. With additional retraining, anchor pruning can even lead to improved accuracy. Extensive experiments on SSD and MS COCO show that the detection head can be made up to 44% more efficient while simultaneously increasing accuracy. Further experiments on RetinaNet and PASCAL VOC show the general effectiveness of our approach. We also introduce `overanchorized' models that can be used together with anchor pruning to eliminate hyperparameters related to the initial shape of anchors. Code and models are available at https://github.com/Mxbonn/anchor_pruning.
Additional file 1 of Media exposure to climate change information and pro-environmental behavior: the role of climate change risk judgment
Creators: name: Vrselja, Ivana
name: Pandžić, Mario
name: Rihtarić, Martina Lotar
name: Ojala, Maria
Publisher: name: figshare
Year: 2024
Subjects: subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 1
Using Convolutional Neural Networks to Develop Starting Models for 2D Full Waveform Inversion
Creators: name: Vantassel, Joseph P.
name: Kumar, Krishna
name: Cox, Brady R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: Non-invasive subsurface imaging using full waveform inversion (FWI) has the potential to fundamentally change engineering site characterization by enabling the recovery of high resolution 2D/3D maps of subsurface stiffness. Yet, the accuracy of FWI remains quite sensitive to the choice of the initial starting model due to the complexity and non-uniqueness of the inverse problem. In response, we present the novel application of convolutional neural networks (CNNs) to transform an experimental seismic wavefield acquired using a linear array of surface sensors directly into a robust starting model for 2D FWI. We begin by describing three key steps used for developing the CNN, which include: selection of a network architecture, development of a suitable training set, and performance of network training. The ability of the trained CNN to predict a suitable starting model for 2D FWI was compared against other commonly used starting models for a classic near-surface imaging problem; the identification of an undulating, two-layer, soil-bedrock interface. The CNN developed during this study was able to predict complex 2D subsurface images of the testing set directly from their seismic wavefields with an average mean absolute percent error of 6%. When compared to other common approaches, the CNN approach was able to produce starting models with smaller seismic image and waveform misfits, both before and after FWI. The ability of the CNN to generalize to subsurface models which were dissimilar to the ones upon which it was trained was assessed using a more complex, three-layered model. While the predictive ability of the CNN was slightly reduced, it was still able to achieve seismic image and waveform misfits comparable to the other commonly used starting models. This study demonstrates that CNNs have great potential as a tool for developing good starting models for FWI ...
description: 29 pages, 16 figures, submitted to Geophysics
Inferring Network Structures via Signal Lasso
Creators: name: Shi, Lei
name: Shen, Chen
name: Jin, Libin
name: Shi, Qi
name: Wang, Zhen
name: Jusup, Marko
name: Boccaletti, Stefano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Methodology (stat.ME)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: 62Jxx, 91-XX, 68T09

description: Inferring the connectivity structure of networked systems from data is an extremely important task in many areas of science. Most of real-world networks exhibit sparsely connected topologies, with links between nodes that in some cases may be even associated to a binary state (0 or 1, denoting respectively the absence or the existence of a connection). Such un-weighted topologies are elusive to classical reconstruction methods such as Lasso or Compressed Sensing techniques. We here introduce a novel approach called signal Lasso, where the estimation of the signal parameter is subjected to 0 or 1 values. The theoretical properties and algorithm of proposed method are studied in detail. Applications of the method are illustrated to an evolutionary game and synchronization dynamics in several synthetic and empirical networks, where we show that the novel strategy is reliable and robust, and outperform the classical approaches in terms of accuracy and mean square errors.
description: 11 pages, 6 figures, 3 tables
Εκκοσμίκευση και βιωσιμότητα του θρησκευτικού θεσμού στην Ευρώπη: Η περίπτωση του Ηνωμένου Βασιλείου και του Βασιλείου της Δανίας
Creators: name: Γιατσίδου, Ελεονώρα Αποστόλου
Publisher: name: Aristotle University of Thessaloniki
Year: 2024
Subjects: εκκοσμίκευση
θρησκεία
Ευρώπη
secularization
religion
Europe

description: Στην παρούσα μεταπτυχιακή εργασία διερευνάται η συνύπαρξη της εκκοσμίκευσης με την επίσημη αναγνώριση του θρησκευτικού θεσμού στον ευρωπαϊκό χώρο μέσω της περιπτωσιολογικής μελέτης των κρατών του Ηνωμένου Βασιλείου και του Βασιλείου της Δανίας. Η έρευνα λαμβάνοντας υπόψη ένα συνδυασμό παραγόντων, όπως το ιστορικό πλαίσιο διαμόρφωσης των σχέσεων των δύο θεσμών, το ισχύον νομικό πλαίσιο ρύθμισης των σχέσεων πολιτείας και θρησκευμάτων, την προστασία της θρησκευτικής ελευθερίας και τη σχέση θρησκείας και κοινωνίας στις δυο αυτές χώρες, αναδεικνύει δύο ιδιαίτερες περιπτώσεις βιωσιμότητας του θρησκευτικού θεσμού στο σύγχρονο εκκοσμικευμένο ευρωπαϊκό περιβάλλον.
description: In this master's thesis, the coexistence of the secularization with the official recognition of the religious institution in the European area is investigated through the case study of the states of the United Kingdom and the Kingdom of Denmark. The research taking into account a combination of factors, such as the historical framework for shaping the relations of the two institutions, the current legal framework for the regulation of relations between the state and religions, the protection of religious freedom and the relationship between religion and society in these two countries, highlights two particular cases of the viability of the religious institution in the modern secularized European environment.
54731: Forester of the Women's Forestry Corps, part of the Women's Land Army
Creators: name: Project Team, First World War Poetry Digital Archive
Publisher: name: University of Oxford
Year: 2024
Subjects: classificationCode: 430304
subject: British history
classificationCode: 430308
subject: European history (excl. British, classical Greek and Roman)
classificationCode: 430316
subject: International history

description: No description available.
Additional file 1 of Research outcomes informing the selection of public health interventions and strategies to implement them: A cross-sectional survey of Australian policy-maker and practitioner preferences
Creators: name: Wolfenden, Luke
name: Hall, Alix
name: Bauman, Adrian
name: Milat, Andrew
name: Hodder, Rebecca
name: Webb, Emily
name: Mooney, Kaitlin
name: Yoong, Serene
name: Sutherland, Rachel
name: McCrabb, Sam
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy

description: Additional file 1: Table S1. Mean point allocations for each of the 17 intervention outcomes overall and by area of expertise (where field of expertise n ≥ 30). Table S2. Mean point allocations for each of the 16 implementation outcomes overall and by area of expertise (where field of expertise n ≥ 30). Table S3. Mean points for implementation outcomes overall and by area of expertise (field of expertise n ≥ 30). Table S4. Sensitivity analysis, participants who selected ‘acceptability’ removed from the analysis, their other rankings remained. Table S5. Sensitivity analysis, participants who selected ‘acceptability’ whole data set removed from the analysis.
Synchronization in Electric Power Networks with Inherent Heterogeneity Up to 100% Inverter-Based Renewable Generation
Creators: name: Sajadi, Amirhossein
name: Kenyon, Rick Wallace
name: Hodge, Bri-Mathias
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The synchronized operation of power generators is the foundation of electric power network stability and a key to the prevention of undesired power outages and blackouts. Here, we derive the conditions that guarantee synchronization in power networks with inherent generator heterogeneity when subjected to small perturbations, and perform a parametric sensitivity analysis to understand synchronization with varied types of generators. As inverter-based resources, which are the primary interfacing technology for many renewable sources of energy, have supplanted synchronous generators in ever growing numbers, the center of attention on associated integration challenges have resided primarily on the role of declining system inertia. Our results instead highlight the critical role of generator damping in achieving a stable state of synchronization. Additionally, we report the feasibility of operating interconnected electric grids with up to 100% power contribution from inverter-based renewable generation technologies. Our study has important implications as it sets the basis for the development of advanced control architectures and grid optimization methods that ensure synchronization and further pave the path towards the decarbonization of the electric power sector.
Hard X-ray Polarimetry -- An overview of the method, science drivers and recent findings
Creators: name: Chattopadhyay, Tanmoy
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The last decade has seen a leapfrog in the interest in X-ray polarimetry with a number of new polarization measurements in hard X-rays from AstroSat, POLAR, GAP, and PoGO+. The measurements provide some interesting insights into various astrophysical phenomena such as coronal geometry and disk-jet connection in black hole X-ray binaries, hard X-ray emission mechanism in pulsars and Gamma Ray Bursts (GRB). They also highlight an increase in polarization with energy which makes hard X-ray polarimetry extremely appealing. There is a number of confirmed hard X-ray polarimetry experiments which along with the existing instruments (AstroSat and INTEGRAL) makes this field further exciting. Polarization experiments may also see a significant progress in sensitivity with new developments in scintillator readouts, active pixel sensors, CZT detectors. In particular, the advent of hard X-ray focusing optics, will enable designing of compact focal plane polarimeters with a multifold enhancement in sensitivity. In this review, we will focus on the recent polarimetry findings, science potential of hard X-ray polarimetry along with possible improvements in the measurement techniques.
description: Review article (accepted for publication in JAA)
sj-docx-1-cnr-10.1177_10547738221107081 – Supplemental material for Biomarkers of Neuroinflammation in Traumatic Brain Injury
Creators: name: Gerber, Kathryn S.
name: Alvarez, Gema
name: Alamian, Arsham
name: Behar-Zusman, Victoria
name: Downs, Charles A.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-cnr-10.1177_10547738221107081 for Biomarkers of Neuroinflammation in Traumatic Brain Injury by Kathryn S. Gerber, Gema Alvarez, Arsham Alamian, Victoria Behar-Zusman and Charles A. Downs in Clinical Nursing Research
Additional file 1 of A taste of wilderness: supplementary feeding of red deer (Cervus elaphus) increases individual bacterial microbiota diversity but lowers abundance of important gut symbionts
Creators: name: Víquez-R, Luis
name: Henrich, Maik
name: Riegel, Vanessa
name: Bader, Marvin
name: Wilhelm, Kerstin
name: Heurich, Marco
name: Sommer, Simone
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Supplementary Material 1
Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin?
Creators: name: Shukla, Megh
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Active learning algorithms select a subset of data for annotation to maximize the model performance on a budget. One such algorithm is Expected Gradient Length, which as the name suggests uses the approximate gradient induced per example in the sampling process. While Expected Gradient Length has been successfully used for classification and regression, the formulation for regression remains intuitively driven. Hence, our theoretical contribution involves deriving this formulation, thereby supporting the experimental evidence. Subsequently, we show that expected gradient length in regression is equivalent to Bayesian uncertainty. If certain assumptions are infeasible, our algorithmic contribution (EGL++) approximates the effect of ensembles with a single deterministic network. Instead of computing multiple possible inferences per input, we leverage previously annotated samples to quantify the probability of previous labels being the true label. Such an approach allows us to extend expected gradient length to a new task: human pose estimation. We perform experimental validation on two human pose datasets (MPII and LSP/LSPET), highlighting the interpretability and competitiveness of EGL++ with different active learning algorithms for human pose estimation.
description: Accepted: WACV 2022, Algorithms track
sj-docx-1-jtt-10.1177_1357633X221107993 - Supplemental material for Association of interactions between Tele-critical care and bedside with length of stay and mortality
Creators: name: O’Shea, Amy MJ
name: Reisinger, Heather S
name: Panos, Ralph
name: Goede, Matt
name: Fortis, Spyridon
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-1-jtt-10.1177_1357633X221107993 for Association of interactions between Tele-critical care and bedside with length of stay and mortality by Amy MJ O'Shea, Heather S Reisinger, Ralph Panos, Matt Goede and Spyridon Fortis in Journal of Telemedicine and Telecare
Black-Hole Perturbation Plus Post-Newtonian Theory: Hybrid Waveform for Neutron Star Binaries
Creators: name: Feng, Xuefeng
name: Lyu, Zhenwei
name: Yang, Huan
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We consider the motion of nonspinning, compact objects orbiting around a Kerr black hole with tidal couplings. The tide-induced quadrupole moment modifies both the orbital energy and outgoing fluxes, so that over the inspiral timescale there is an accumulative shift in the orbital and gravitational wave phase. Previous studies on compact object tidal effects have been carried out in the Post-Newtonian (PN) and Effective-One-Body (EOB) formalisms. In this work, within the black hole perturbation framework, we propose to characterize the tidal influence in the expansion of mass ratios, while higher-order PN corrections are naturally included. For the equatorial and circular orbit, we derive the leading order, frequency dependent tidal phase shift which agrees with the Post-Newtonian result at low frequencies but deviates at high frequencies. We also find that such phase shift has weak dependence ($\le 10\%$) on the spin of the primary black hole. Combining this black hole perturbation waveform with the Post-Newtonian waveform, we propose a frequency-domain, hybrid waveform that shows comparable accuracy as the EOB waveform in characterizing the tidal effects, as calibrated by numerical relativity simulations. Further improvement is expected as the next-leading order in mass ratio and the higher-PN tidal corrections are included. This hybrid approach is also applicable for generating binary black hole waveforms.
description: 20 pages, 5 figures
GeneSeqToFamily: a Galaxy workflow to find gene families based on the Ensembl Compara GeneTrees pipeline
Creators: name: Soranzo, Nicola
name: Thanki, Anil S.
name: Haerty, Wilfried
name: Davey, Robert P.
Publisher: name: F1000 Research Limited
Year: 2018

description: The phylogenetic information inferred from the study of homologous genes helps us to understand the evolution of gene families and plays a vital role in finding ancestral gene duplication events as well as identifying genes that are under positive selection within species.

The Ensembl GeneTrees pipeline generates gene trees based on coding sequences and provides details about exon conservation, and is used in the Ensembl Compara project to discover homologous gene families. Since substantial expertise is required to configure and run the pipeline via the command line, we created GeneSeqToFamily, an open-source Galaxy workflow based on Ensembl GeneTrees. GeneSeqToFamily helps users to run potentially large-scale gene family analyses without requiring command-line usage while still allowing parameters, configurations, and the tools themselves to be modified.

Gene families discovered with GeneSeqToFamily can be explored using the Aequatus.js interactive tool, which was integrated into Galaxy as a visualisation plugin.

We are further developing the Galaxy workflow implementing the ETE toolkit for the downstream analysis of the discovered gene families, allowing splitting gene trees by duplication events, contributing to the identification of orthologs and paralogs and setting the ground for selection analysis.
Baumgarten, Paul Maria: Untersuchungen und Urkunden über die Camera Collegii Cardinarum für die Zeit 1295-1437
Creators: name: Ehses, Stephan
Publisher: name: Römische Quartalschrift
Year: 1970

description: Römische Quartalschrift, Bd. 12 (1898): Römische Quartalschrift, Band 12
Improved absolute clock stability by the joint interrogation of two atomic states
Creators: name: Li, Weidong
name: Wu, Shuyuan
name: Smerzi, Augusto
name: Pezzè, Luca
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Improving the clock stability is of fundamental importance for the development of quantum-enhanced metrology. One of the main limitations arises from the randomly-fluctuating local oscillator (LO) frequency, which introduces "phase slips" for long interrogation times and hence failure of the frequency-feedback loop. Here we propose a strategy to improve the stability of atomic clocks by interrogating two out-of-phase state sharing the same LO. While standard Ramsey interrogation can only determine phases unambiguously in the interval $[-π/2,π/2]$, the joint interrogation allows for an extension to $[-π,π]$, resulting in a relaxed restriction of the Ramsey time and improvement of absolute clock stability. Theoretical predictions are supported by ab-initio numerical simulation for white and correlated LO noise. While our basic protocol uses uncorrelated atoms, we have further extended it to include spin-squeezing and further improving the scaling of clock stability with the number of atoms. Our protocol can be readily tested in current state-of-the-art experiments.
description: 15 pages, 10 figures
A generalized MIT Bag operator on spin manifolds in the non-relativistic limit
Creators: name: Flamencourt, Brice
Publisher: name: arXiv
Year: 2021
Subjects: subject: Spectral Theory (math.SP)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: We consider Dirac-like operators with piecewise constant mass terms on spin manifolds, and we study the behaviour of their spectra when the mass parameters become large. In several asymptotic regimes, effective operators appear: the extrinsic Dirac operator and a generalized MIT Bag Dirac operator. This extends some results previously known for the Euclidean spaces to the case of general spin geometry.
description: 45 pages
Supplemental Material - We Choose to Call it ‘Degenerative Cervical Myelopathy’: Findings of AO Spine Research objectives and Common Data Elements Degenerative Cervical Myelopathy, an International and Multi-Stakeholder Partnership to Agree a Standard Unifying Term and Definition for a Disease
Creators: name: Davies, Benjamin M.
name: Khan, Danyal Z
name: Barzangi, Kara
name: Ali, Ahmad
name: Mowforth, Oliver D.
name: Nouri, Aria
name: Harrop, James S.
name: Aarabi, Bizhan
name: Rahimi-Movaghar, Vafa
name: Kurpad, Shekar N
name: Guest, James D.
name: Tetreault, Lindsay
name: Kwon, Brian K.
name: Boerger, Timothy F
name: Rodrigues-Pinto, Ricardo
name: Furlan, Julio C.
name: Chen, Robert
name: Zipser, Carl Moritz
name: Curt, Armin
name: Milligan, James
name: Kalsi-Rayn, Sukhivinder
name: Sarewitz, Ellen
name: Sadler, Iwan
name: Widdop, Shirley
name: Fehlings, Michael G.
name: Kotter, Mark R.N.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: FOS: Health sciences
subject: 110323 Surgery

description: Supplemental Material for We Choose to Call it ‘Degenerative Cervical Myelopathy’: Findings of AO Spine Research objectives and Common Data Elements Degenerative Cervical Myelopathy, an International and Multi-Stakeholder Partnership to Agree a Standard Unifying Term and Definition for a Disease by Benjamin M. Davies, Danyal Z Khan, Kara Barzangi, Ahmad Ali, Oliver D. Mowforth, Aria Nouri, James S. Harrop, Bizhan Aarabi, Vafa Rahimi-Movaghar, Shekar N Kurpad, James D. Guest, Lindsay Tetreault, Brian K. Kwon, Timothy F Boerger, Ricardo Rodrigues-Pinto, Julio C. Furlan, Robert Chen, Carl Moritz Zipser, Armin Curt, James Milligan, Sukhivinder Kalsi-Rayn, Ellen Sarewitz, Iwan Sadler, Shirley Widdop, Michael G. Fehlings, and Mark R.N. Kotter in Global Spine Journal
Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines
Creators: name: Richert, Frederieke
name: Worschech, Roman
name: Rosenow, Bernd
Publisher: name: arXiv
Year: 2021
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Over-parametrized deep neural networks trained by stochastic gradient descent are successful in performing many tasks of practical relevance. One aspect of over-parametrization is the possibility that the student network has a larger expressivity than the data generating process. In the context of a student-teacher scenario, this corresponds to the so-called over-realizable case, where the student network has a larger number of hidden units than the teacher. For on-line learning of a two-layer soft committee machine in the over-realizable case, we find that the approach to perfect learning occurs in a power-law fashion rather than exponentially as in the realizable case. All student nodes learn and replicate one of the teacher nodes if teacher and student outputs are suitably rescaled.
description: 5 pages, 5 figures
sj-docx-1-pie-10.1177_09544089221109835 - Supplemental material for Evaluation of the grinding process utilizing an auxiliary compressed air jet on cleaning the grinding wheel surface
Creators: name: Hatami Farzaneh, Omid
name: Adibi, Hamed
name: Rezaei, Seyed Mehdi
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-docx-1-pie-10.1177_09544089221109835 for Evaluation of the grinding process utilizing an auxiliary compressed air jet on cleaning the grinding wheel surface by Omid Hatami Farzaneh, Hamed Adibi and Seyed Mehdi Rezaei in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Eubel, Conradus: Hierachia Catholica Medii Aevi sive Summorum Pontificum, S. R. E. Cardinalium, Ecclesiarum Antistium series ab anno 1198 usque ad annum 1431 perducta e documentis Tabularii praesertium Vaticani collecta, degesta edita per - Monasterii MDCCCXCVIII
Creators: name: Baumgarten, Paul Maria
Publisher: name: Römische Quartalschrift
Year: 1970

description: Römische Quartalschrift, Bd. 12 (1898): Römische Quartalschrift, Band 12
Receiver-Device-Independent Quantum Key Distribution
Creators: name: Ioannou, Marie
name: Pereira, Maria Ana
name: Rusca, Davide
name: Grünenfelder, Fadri
name: Boaron, Alberto
name: Perrenoud, Matthieu
name: Abbott, Alastair A.
name: Sekatski, Pavel
name: Bancal, Jean-Daniel
name: Maring, Nicolas
name: Zbinden, Hugo
name: Brunner, Nicolas
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present protocols for quantum key distribution in a prepare-and-measure setup with an asymmetric level of trust. While the device of the sender (Alice) is partially characterized, the receiver's (Bob's) device is treated as a black-box. The security of the protocols is based on the assumption that Alice's prepared states have limited overlaps, but no explicit bound on the Hilbert space dimension is required. The protocols are immune to attacks on the receiver's device, such as blinding attacks. The users can establish a secret key while continuously monitoring the correct functioning of their devices through observed statistics. We report a proof-of-principle demonstration, involving mostly off-the-shelf equipment, as well as a high-efficiency superconducting nanowire detector. A positive key rate is demonstrated over a 4.8 km low-loss optical fiber with finite-key analysis. The prospects of implementing these protocols over longer distances is discussed.
Freezing and thawing magnetic droplet solitons
Creators: name: Ahlberg, Martina
name: Chung, Sunjae
name: Jiang, Sheng
name: Le, Q. Tuan
name: Khymyn, Roman
name: Mazraati, Hamid
name: Weigand, Markus
name: Bykova, Iuliia
name: Groß, Felix
name: Goering, Eberhard
name: Schütz, Gisela
name: Gräfe, Joachim
name: Åkerman, Johan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Magnetic droplets are non-topological magnetodynamical solitons displaying a wide range of complex dynamic phenomena with potential for microwave signal generation. Bubbles, on the other hand, are internally static cylindrical magnetic domains, stabilized by external fields and magnetostatic interactions. In its original theory, the droplet was described as an imminently collapsing bubble stabilized by spin transfer torque and, in its zero-frequency limit, as equivalent to a bubble. Without nanoscale lateral confinement, pinning, or an external applied field, such a nanobubble is unstable, and should collapse. Here, we show that we can freeze dynamic droplets into static nanobubbles by decreasing the magnetic field. While the bubble has virtually the same resistance as the droplet, all signs of low-frequency microwave noise disappear. The transition is fully reversible and the bubble can be thawed back into a droplet if the magnetic field is increased under current. Whereas the droplet collapses without a sustaining current, the bubble is highly stable and remains intact for days without external drive. Electrical measurements are complemented by direct observation using scanning transmission x-ray microscopy, which corroborates the analysis and confirms that the bubble is stabilized by pinning.
description: 23 pages, 5 figures
Quantum Machine Learning with SQUID
Creators: name: Roggero, Alessandro
name: Filipek, Jakub
name: Hsu, Shih-Chieh
name: Wiebe, Nathan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this work we present the Scaled QUantum IDentifier (SQUID), an open-source framework for exploring hybrid Quantum-Classical algorithms for classification problems. The classical infrastructure is based on PyTorch and we provide a standardized design to implement a variety of quantum models with the capability of back-propagation for efficient training. We present the structure of our framework and provide examples of using SQUID in a standard binary classification problem from the popular MNIST dataset. In particular, we highlight the implications for scalability for gradient-based optimization of quantum models on the choice of output for variational quantum models.
description: 13 pages, 8 figures, accepted version
sj-docx-1-pss-10.1177_09567976221075608 – Supplemental material for Psychological Well-Being in Childhood and Cardiometabolic Risk in Middle Adulthood: Findings From the 1958 British Birth Cohort
Creators: name: Boehm, Julia K.
name: Qureshi, Farah
name: Kubzansky, Laura D.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, sj-docx-1-pss-10.1177_09567976221075608 for Psychological Well-Being in Childhood and Cardiometabolic Risk in Middle Adulthood: Findings From the 1958 British Birth Cohort by Julia K. Boehm, Farah Qureshi and Laura D. Kubzansky in Psychological Science
Additional file 1 of A rare case of TFEB/6p21/VEGFA-amplified renal cell carcinoma diagnosed by whole-exome sequencing: clinicopathological and genetic feature report and literature review
Creators: name: Zhang, Ruiqi
name: Ding, Meili
name: Zhu, Xingyao
name: Li, Xiang
name: Hu, Qi
name: Tao, Lin
name: Hu, Wenhao
name: Zou, Hong
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 1.
Predicting plasticity of amorphous solids from instantaneous normal modes
Creators: name: Kriuchevksyi, Ivan
name: Sirk, Tim
name: Zaccone, Alessio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We present a mathematical description of amorphous solid deformation and plasticity by extending the concept of instantaneous normal modes (INMs) to deformed systems, which allows us to retain the effect of strain on the vibrational density of states (VDOS). Starting from the nonaffine lattice dynamics (NALD) description of elasticity and viscoelasticity of glasses, we formulate the linear response theory up to large deformations by considering the strain-dependent tangent modulus at finite values of shear strain. The (nonaffine) tangent shear modulus is computed from the vibrational density of states (VDOS) of affinely strained configurations at varying strain values. The affine strain, found analytically on the static (undeformed) snapshot of the glass, leads to configurations that are rich of soft low-energy modes as well as unstable modes (negative eigenvalues) that are otherwise completely "washed out" and lost, if one lets the system relax after strain. This procedure is fully consistent with the structure of NALD. The INM spectrum of deformed states allows for the analytical prediction of the stress-strain curve of a model glass, including the prediction of the yield point. Good parameter-free quantitative agreement is shown between the prediction and simulations of athermal quasi-static shear of a coarse-grained polymer glass.
Additional file 3 of Genomic deletions in Aureobasidium pullulans by an AMA1 plasmid for gRNA and CRISPR/Cas9 expression
Creators: name: Masi, Audrey
name: Wögerbauer, Klara
name: Mach, Robert L.
name: Mach-Aigner, Astrid R.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 3.
Isothermal transport of a near-critical binary fluid mixture through a capillary tube with the preferential adsorption
Creators: name: Yabunaka, Shunsuke
name: Fujitani, Youhei
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Chemical Physics (physics.chem-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We study isothermal transport of a nonelectrolyte binary fluid mixture, which lies in the homogeneous phase near the demixing critical point, through a capillary tube connecting two reservoirs. Usually, one component is preferentially adsorbed onto the tube wall, and the adsorption becomes significant owing to large osmotic susceptibility. The mixture flowing out of the tube is rich in the preferred component when flow is driven by the pressure difference between the reservoirs. When flow is driven by the mass-fraction difference, the total mass flow occurs in the presence of the preferential adsorption, which means that diffusioosmosis emerges. These phenomena can be regarded as cross effects linked by the reciprocal relation. We also study these phenomena numerically by using the hydrodynamics based on the coarse-grained free-energy functional, which was previously obtained in terms of the renormalized local functional theory. It is shown in particular that the conductance, or the total mass flow rate under a given mass-fraction difference, in diffusioosmosis can change non-monotonically with the temperature.
description: 45 pages, 10 figures, accepted for publication in Physics of Fluids
sj-docx-1-soe-10.1177_00380407221109209 – Supplemental material for Diffusing “Destandardization” Reforms across Educational Systems in Low- and Middle-Income Countries: The Case of the World Bank, 1965 to 2020
Creators: name: Hossain, Mobarak
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Education
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-docx-1-soe-10.1177_00380407221109209 for Diffusing “Destandardization” Reforms across Educational Systems in Low- and Middle-Income Countries: The Case of the World Bank, 1965 to 2020 by Mobarak Hossain in Sociology of Education
Coherent Interactions Between Silicon-Vacancy Centers in Diamond
Creators: name: Day, Matthew W.
name: Bates, Kelsey M.
name: Smallwood, Christopher L.
name: Owen, Rachel C.
name: Schröder, Tim
name: Bielejec, Edward
name: Ulbricht, Ronald
name: Cundiff, Steven T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We report coherent interactions within an ensemble of silicon-vacancy color centers in diamond. The interactions are ascribed to resonant dipole-dipole coupling. Further, we demonstrate control over resonant center pairs by using a driving optical pulse to induce collective, interaction-enabled Rabi-oscillations in the ensemble. Non-resonant center pairs do not undergo collective oscillations.
Fair Vs. Gdpr: Which Will Win?
Creators: name: Rice, Robin
Publisher: name: Zenodo
Year: 2018

description: Sometimes life isn’t fair. No sooner have data librarians been gifted with a popular buzzword that gets across the importance of making data openly accessible to researchers in a way that resonates with them, than another buzzword enters the ring, threatening to knock out the appeal of open data with a single, forceful punch: GDPR, ladies and gentleman, muscles flexing in the opposite corner, grinning with malice and threatening absurd fines.

GDPR, which doesn’t even have the grace to float off the tongue, has researchers, administrators and librarians alike quaking in their boots. No matter what its essence or purpose is scarcely different from its twelve-year-old predecessor, the Data Protection Directive. No matter that its primary target is the dastardly marketing practices of errant companies tricking the hapless consumer into giving up their personal data to those with whom they do business or for purposes against which they have given freely their consent.

In research, will it matter how ethically conceived information sheets and consent forms have been crafted to reassure participants their data will be put to good use? Will it matter what painstaking measures the project’s statistician will take to anonymise personal data and reduce the risk of disclosure of individuals when data could be merged with other data? Or will the data be locked up with nary a thought to how the key could be retrieved, for the mere hint of a risk that shame and misfortune could fall upon the research institution if caught afoul of the dreaded General Data Protection Regulation?

Will fear conquer the altruism of open data? Or will FAIR, with its library friendly jargon - findable, accessible, interoperable, reusable - with its promise of an open science / open research future that breaks down walls between research agendas and accelerates the pace of human knowledge, win the day at last, perhaps even providing humankind with the kind of breakthrough that could save it from itself and reverse the destructive path it is on - solving the interdisciplinary grand challenges of the day such as climate change, inequality and appropriately harnessing artificial intelligence.
Off-center gravity induces large-scale flow patterns in spherical Rayleigh-Bénard
Creators: name: Wang, Guiquan
name: Santelli, Luca
name: Verzicco, Roberto
name: Lohse, Detlef
name: Stevens, Richard J. A. M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: Inspired by the hemispherical asymmetry observed in the Earth's inner core, we perform direct numerical simulations to study the effect of the gravity center offset in spherical Rayleigh-Bénard convection. We find that even a minimal shift of the gravity center has a pronounced influence on the flow structures. When the gravity center is shifted towards the South, the co-latitudinal buoyancy component creates an energetic jet on the Northern side of the inner sphere that is directed towards the outer sphere. As a result, a large-scale meridional circulation is formed. However, surprisingly, the global heat flux is not affected by the changes in the large-scale flow organization induced by the gravity center offset. Our results suggest that the hemispherical core asymmetry is key to model the flow phenomena in the Earth's outer core and mantle.
sj-docx-1-ltr-10.1177_13621688221108446 – Supplemental material for The impact of cognate strategy training on guessing accuracy for unknown visually-presented words: The case of Japanese learners of English
Creators: name: Allen, David
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Education
subject: 200399 Language Studies not elsewhere classified
subject: FOS: Languages and literature

description: Supplemental material, sj-docx-1-ltr-10.1177_13621688221108446 for The impact of cognate strategy training on guessing accuracy for unknown visually-presented words: The case of Japanese learners of English by David Allen in Language Teaching Research
Quantifying Women's Marginalisation in Ibero-American Film Culture During the First Half of the Twentieth Century: A Network-Science Proposal
Creators: name: Clariana-Rodagut, Ainamar
name: Cardillo, Alessio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Digital Libraries (cs.DL)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The research presented here uses the tools of social network analysis to empirically show a socio-cultural phenomenon already addressed by the social sciences and history: the historical marginalisation of women in the field of cinema. The novelty of our approach lies in the use of a large amount of heterogeneous historical data. On the one hand, we built a network of interactions between people involved in the film field in Ibero-America during the first half of the twentieth century. On the other hand, we propose a $k$-core decomposition and a multi-layered analysis, as a quantitative way to study the position of women within the cultural melieu. After conducting our analysis, we concluded that women were mostly situated in the outer $k$-shells of the empirical network, and their distribution was not uniform across the $k$-shells. From a qualitative perspective, these results can be interpreted as the consequence of the lack of evidence of the participation of women in the public sphere.
description: 21 pages, 3 figures. Updated version (submitted for publication)
title: "Statua femminile seduta e statua di Eros seduto", Arte romana, inv. LXXII (ITA/EN)
title: Scheda catalogo digitale Borghese
titleType: AlternativeTitle
Creators: name: Ciccarello, Giulia
name: Galleria Borghese
Publisher: name: Galleria Borghese
Year: 2024

description: Pubblicazione delle schede delle opere conservate nel museo ed estratte dal catalogo digitale di Galleria Borghese, nelle due versioni esistenti online, in italiano e inglese.

Collegamento al catalogo digitale:

ITA: https://www.collezionegalleriaborghese.it/

EN: https://www.collezionegalleriaborghese.it/en
Eigenfunction non-orthogonality factors and the shape of CPA-like dips in a single-channel reflection from lossy chaotic cavities
Creators: name: Fyodorov, Yan V
name: Osman, Mohammed
Publisher: name: arXiv
Year: 2021
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mathematical Physics (math-ph)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: Motivated by the phenomenon of Coherent Perfect Absorption, we study the shape of the deepest minima in the frequency-dependent single-channel reflection of waves from a cavity with spatially uniform losses. We show that it is largely determined by non-orthogonality factors $O_{nn}$ of the eigenmodes associated with the non-selfadjoint effective Hamiltonian. For cavities supporting chaotic ray dynamics we then use random matrix theory to derive, fully non-perturbatively, the explicit probability density ${\cal P}(O_{nn})$ of the non-orthogonality factors for systems with both broken and preserved time reversal symmetry. The results imply that $O_{nn}$ are heavy-tail distributed, with the universal tail ${\cal P}(O_{nn}\gg 1)\sim O_{nn}^{-3}$.