cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The voice of the dragon: the emerging media in the new democracy of Bhutan
Creators: name: Avieson, Bunty Carolyn
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: "In 2008/9 I spent a year working in Bhutan, a tiny landlocked country in the Himalayas, mostly known for its mystical tantric Buddhism and philosophy of Gross National Happiness. In the past two decades, this isolated feudal monarchy has transformed into a modern, digitally connected democracy with a vibrant growing media space. For centuries Bhutan had been closed to outsiders and had developed as a predominantly oral culture. But in 1999 it cautiously opened itself up to the outside world, allowing television and the Internet. In 2003 mobile phones arrived then, in 2006, the king announced the country would become a democracy. To prepare the people he granted licences for new radio stations and two independent newspapers. The king's vision for democracy required a vibrant independent media where citizens could express their views, engage in public discourse and hold their elected leaders to account. Since then more newspapers and radio stations have launched. The Internet has brought news blogs and Facebook. The Dragon Finds Its Voice is a personal account of my experience working with independent newspaper the Bhutan Observer and the challenges it faced. This narrative provides a personal and cultural context for the accompanying exegesis. In the exegesis I employ both western media theorists (such as Marshall McLuhan, Walter Ong, Benedict Anderson, Arjun Appadurai and Denis McQuail) and the work of Bhutanese scholars (including Kinley Dorji, Siok-San Pek and Karma Phuntsho) to analyse the unfolding media landscape. While the developed world grapples with the changes brought by media convergence and the collapse of old economic models, Bhutan's unique experience is instructive as it confronts the challenges of the modern interconnected world in an intellectually and spiritually robust way. It provides a fresh place from which to (re)think established notions of media and its efficacies and different ways to appreciate the connections enabled by media across time and space." -- Abstract.
Stimulated Raman Adiabatic control of a nuclear spin in diamond
Creators: name: Coto, Raul
name: Jacques, Vincent
name: Hétet, Gabriel
name: Maze, Jerónimo R.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Coherent manipulation of nuclear spins is a highly desirable tool for both quantum metrology and quantum computation. However, most of the current techniques to control nuclear spins lack of being fast impairing their robustness against decoherence. Here, based on Stimulated Raman Adiabatic Passage, and its modification including shortcuts to adiabaticity, we present a fast protocol for the coherent manipulation of nuclear spins. Moreover, we show how to initialise a nuclear spin starting from a thermal state, and how to implement Raman control for performing Ramsey spectroscopy to measure the dynamical and geometric phases acquired by nuclear spins.
description: 8 pages, 6 figures
Small-angle scattering tensor tomography algorithm for robust reconstruction of complex textures
Creators: name: Nielsen, Leonard C.
name: Erhart, Paul
name: Guizar-Sicairos, Manuel
name: Liebi, Marianne
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: The development of small-angle scattering tensor tomography has enabled the study of anisotropic nanostructures in a volume-resolved manner. It is of great value to have reconstruction methods that can handle many different nanostructural symmetries. For such a method to be employed by researchers from a wide range of backgrounds, it is crucial that its reliance on prior knowledge about the system is minimized, and that it is robust under various conditions. Here, we present a method employing band-limited spherical functions to enable the reconstruction of reciprocal space maps of a wide variety of nanostructures. This method has been thoroughly tested and compared to existing methods in its ability to retrieve known reciprocal space maps, as well as its robustness to changes in initial conditions, using both simulations and experimental data. The anchoring of this method in a framework of integral geometry and linear algebra highlights its possibilities and limitations.
description: Article has 11 pages and 6 figures, supplementary information has 7 pages and 4 figures
Interplay of the inverse proximity effect and magnetic field in out-of-equilibrium single-electron devices
Creators: name: Nakamura, Shuji
name: Pashkin, Yuri A.
name: Taupin, Mathieu
name: Maisi, Ville F.
name: Khaymovich, Ivan M.
name: Mel'nikov, Alexander S.
name: Peltonen, Joonas T.
name: Pekola, Jukka P.
name: Okazaki, Yuma
name: Kashiwaya, Satoshi
name: Kawabata, Shiro
name: Vasenko, Andrey S.
name: Tsai, Jaw-Shen
name: Kaneko, Nobu-Hisa
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The magnetic field is shown to affect significantly non-equilibrium quasiparticle (QP) distributions under conditions of inverse proximity effect on the remarkable example of a single-electron hybrid turnstile. This effect suppresses the gap in the superconducting leads in the vicinity of turnstile junctions with a Coulomb blockaded island, thus, trapping hot QPs in this region. Applied magnetic field creates additional QP traps in the form of vortices or regions with reduced superconducting gap in the leads resulting in release of QPs away from junctions. We present clear experimental evidence of such interplay of the inverse proximity effect and a magnetic field revealing itself in the superconducting gap enhancement in a magnetic field as well as in significant improvement of the turnstile characteristics. The observed interplay of the inverse proximity effect and external magnetic field, and its theoretical explanation in the context of QP overheating are important for various superconducting and hybrid nanoelectronic devices, which find applications in quantum computation, photon detection and quantum metrology.
description: 5 + 4 pages, 4 + 2 figures
MOESM10 of The effect of temperature and retention time on methane production and microbial community composition in staged anaerobic digesters fed with food waste
Creators: name: Gaby, John
name: Mirzaman Zamanzadeh
name: Horn, Svein
Publisher: name: figshare
Year: 2017
Subjects: subject: Biochemistry
subject: Molecular Biology
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 10: Figure S7. Boxplots of taxa percent relative abundances by reactor for Euryarchaeota (a), Firmicutes (b), Bacteroidetes (c), WWE1 (d), WPS-2 (e), WS6 (f), OP9 (g), Methanothermobacter (h), Coprothermobacter (i), Ruminococcus (j), and Thermoanaerobacterium (k).
Cinematic containers: aspect ratio and creative filmmaking
Creators: name: Lam, Perry
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: This research project investigates the creative implementations of aspect ratio in contemporary films. Specifically, it examines aspect ratio’s creative role in film narrative and aesthetics. Aspect ratio has traditionally been viewed as the standardised proportions of the cinematic frame and is not expected to contribute to the content of the film itself. However, with the rise of digital technology, the aspect ratio is no longer standardised but has been given the opportunity to contribute in a creative role. The research project is implemented using two forms: a written exegesis and a short film. The written thesis focuses on three contemporary films and their creative use of the aspect ratio. The short film places the aspect ratio into creative use to demonstrate how it can be used to tell a story. With these two approaches, the project aims to understand the creative role of aspect ratio from a creative filmmaking standpoint.
Additional file 3 of Identification of cross-talk between m6A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
Creators: name: Chen, Yu-Tong
name: Shen, Jia-Yi
name: Chen, Dong-Ping
name: Wu, Chen-Fei
name: Guo, Rui
name: Zhang, Pan-Pan
name: Lv, Jia-Wei
name: Li, Wen-Fei
name: Wang, Zi-Xian
name: Chen, Yu-Pei
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 3: Figure S3. Heatmap showing percentage of cancers in which a pathway may be activated (red) or inhibited (blue) by the m6A/5mC regulators calculated by Gene Set Cancer Analysis (GSCA). Reverse phase protein array (RPPA) data of 32 cancer types from The Cancer Proteome Atlas (TCPA) are used for the calculation; acute myeloid leukemia (LAML) is not included. A total of 10 cancer related pathways are included (i.e., TSC/mTOR, RTK, RAS/MAPK, PI3K/AKT, Hormone ER, Hormone AR, EMT, DNA Damage Response, Cell Cycle, and Apoptosis pathways), and only m6A/5mC regulators that have function (activate or inhibit) in at least five cancer types are shown by GSCA.
Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection
Creators: name: Sarihi, Amin
name: Patooghy, Ahmad
name: Jamieson, Peter
name: Badawy, Abdel-Hameed A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cryptography and Security (cs.CR)
subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences
subject: B.8.1

description: Current Hardware Trojan (HT) detection techniques are mostly developed based on a limited set of HT benchmarks. Existing HT benchmark circuits are generated with multiple shortcomings, i.e., i) they are heavily biased by the designers' mindset when created, and ii) they are created through a one-dimensional lens, mainly the signal activity of nets. We introduce the first automated Reinforcement Learning (RL) HT insertion and detection framework to address these shortcomings. In the HT insertion phase, an RL agent explores the circuits and finds locations best for keeping inserted HTs hidden. On the defense side, we introduce a multi-criteria RL-based HT detector that generates test vectors to discover the existence of HTs. Using the proposed framework, one can explore the HT insertion and detection design spaces to break the limitations of human mindset and benchmark issues, ultimately leading toward the next generation of innovative detectors. We demonstrate the efficacy of our framework on ISCAS-85 benchmarks, provide the attack and detection success rates, and define a methodology for comparing our techniques.
description: This paper appears in the Journal of Supercomputing: https://doi.org/10.1007/s11227-024-05963-8
Data-driven Methods Applied to Soft Robot Modeling and Control: A Review
Creators: name: Chen, Zixi
name: Renda, Federico
name: Gall, Alexia Le
name: Mocellin, Lorenzo
name: Bernabei, Matteo
name: Dangel, Théo
name: Ciuti, Gastone
name: Cianchetti, Matteo
name: Stefanini, Cesare
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Soft robots show compliance and have infinite degrees of freedom. Thanks to these properties, such robots can be leveraged for surgery, rehabilitation, biomimetics, unstructured environment exploring, and industrial grippers. In this case, they attract scholars from a variety of areas. However, nonlinearity and hysteresis effects also bring a burden to robot modeling. Moreover, following their flexibility and adaptation, soft robot control is more challenging than rigid robot control. In order to model and control soft robots, a large number of data-driven methods are utilized in pairs or separately. This review first briefly introduces two foundations for data-driven approaches, which are physical models and the Jacobian matrix, then summarizes three kinds of data-driven approaches, which are statistical method, neural network, and reinforcement learning. This review compares the modeling and controller features, e.g., model dynamics, data requirement, and target task, within and among these categories. Finally, we summarize the features of each method. A discussion about the advantages and limitations of the existing modeling and control approaches is presented, and we forecast the future of data-driven approaches in soft robots. A website (https://sites.google.com/view/23zcb) is built for this review and will be updated frequently.
description: 16 pages, 6 figures, 7tables, accepted by IEEE Transactions on Automation Science and Engineering on 11 March, 2024
Impact of radiogenic heating on the formation conditions of comet 67P/Churyumov-Gerasimenko
Creators: name: Mousis, O.
name: Drouard, A.
name: Vernazza, P.
name: Lunine, J. I.
name: Monnereau, M.
name: Maggiolo, R.
name: Altwegg, K.
name: Balsiger, H.
name: Berthelier, J. -J.
name: Cessateur, G.
name: De Keyser, J.
name: Fuselier, S. A.
name: Gasc, S.
name: Korth, A.
name: Deun, T. Le
name: Mall, U.
name: Marty, B.
name: Rème, H.
name: Rubin, M.
name: Tzou, C. -Y.
name: Waite, J. H.
name: Wurz, P.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Because of the high fraction of refractory material present in comets, the heat produced by the radiogenic decay of elements such as aluminium and iron can be high enough to induce the loss of ultravolatile species such as nitrogen, argon or carbon monoxide during their accretion phase in the protosolar nebula. Here, we investigate how heat generated by the radioactive decay of 26Al and 60Fe influences the formation of comet 67P/Churyumov-Gerasimenko, as a function of its accretion time and size of parent body. We use an existing thermal evolution model that includes various phase transitions, heat transfer in the ice-dust matrix, and gas diffusion throughout the porous material, based on thermodynamic parameters derived from Rosetta observations. Two possibilities are considered: either, to account for its bilobate shape, 67P/Churyumov-Gerasimenko was assembled from two primordial ~2 kilometer-sized planetesimals, or it resulted from the disruption of a larger parent body with a size corresponding to that of comet Hale-Bopp (~70 km). To fully preserve its volatile content, we find that either 67P/Churyumov-Gerasimenko's formation was delayed between ~2.2 and 7.7 Myr after that of Ca-Al-rich Inclusions in the protosolar nebula or the comet's accretion phase took place over the entire time interval, depending on the primordial size of its parent body and the composition of the icy material considered. Our calculations suggest that the formation of 67P/Churyumov-Gerasimenko is consistent with both its accretion from primordial building blocks formed in the nebula or from debris issued from the disruption of a Hale-Bopp-like body.
description: Accepted for publication in The Astrophysical Journal Letters
A Lindblad master equation capable of describing hybrid quantum systems in the ultra-strong coupling regime
Creators: name: Lednev, Maksim
name: García-Vidal, Francisco J.
name: Feist, Johannes
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Despite significant theoretical efforts devoted to studying the interaction between quantized light modes and matter, the so-called ultra-strong coupling regime still presents significant challenges for theoretical treatments and prevents the use of many common approximations. Here we demonstrate an approach that can describe the dynamics of hybrid quantum systems in any regime of interaction for an arbitrary electromagnetic (EM) environment. We extend a previous method developed for few-mode quantization of arbitrary systems to the case of ultrastrong light-matter coupling, and show that even such systems can be treated using a Lindblad master equation where decay operators act only on the photonic modes by ensuring that the effective spectral density of the EM environment is sufficiently suppressed at negative frequencies. We demonstrate the validity of our framework and show that it outperforms current state-of-the-art master equations for a simple model system, and then study a realistic nanoplasmonic setup where existing approaches cannot be applied.
description: 6 pages, 4 figures, letter
Additional file 1 of Identification of cross-talk between m6A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
Creators: name: Chen, Yu-Tong
name: Shen, Jia-Yi
name: Chen, Dong-Ping
name: Wu, Chen-Fei
name: Guo, Rui
name: Zhang, Pan-Pan
name: Lv, Jia-Wei
name: Li, Wen-Fei
name: Wang, Zi-Xian
name: Chen, Yu-Pei
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Figure S1. Gene expression profile of m6A/5mC regulators across 33 cancer types. Pan-cancer normalized RNA-Seq by Expectation-Maximization (RSEM) data were used. For a given m6A/5mC regulators in a given cancer type, the non-scaled median expression level is presented.
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome III, Cart. 187 (11 H 72), f. 0097v
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome III, Archives départementales de la Côte-d'Or, Cart. 187 (11 H 72), f. 0097v, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome III, Archives départementales de la Côte-d'Or, Cart. 187 (11 H 72), f. 0097v, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
Race and Free Speech
Creators: name: Sargent, Michael
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: American Politics
subject: Social Psychology
subject: Political Science
subject: FOS: Political science
subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology

description: I am collecting survey data on Black and White U.S. residents' attitudes toward restrictions on racist speech. This survey will include an experimental manipulation.
Blind Spots for Direct Detection with Simplified DM Models and the LHC
Creators: name: Choudhury, Arghya
name: Kowalska, Kamila
name: Roszkowski, Leszek
name: Sessolo, Enrico Maria
name: Williams, Andrew J.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Using the existing simplified model framework, we build several dark matter models which have suppressed spin-independent scattering cross section. We show that the scattering cross section can vanish due to interference effects with models obtained by simple combinations of simplified models. For weakly interacting massive particle (WIMP) masses $\gtrsim$10 GeV, collider limits are usually much weaker than the direct detection limits coming from LUX or XENON100. However, for our model combinations, LHC analyses are more competitive for some parts of the parameter space. The regions with direct detection blind spots can be strongly constrained from the complementary use of several Large Hadron Collider (LHC) searches like mono-jet, jets + missing transverse energy, heavy vector resonance searches, etc. We evaluate the strongest limits for combinations of scalar + vector, "squark" + vector, and scalar + "squark" mediator, and present the LHC 14 TeV projections.
description: 9 Pages, Talk presented at the conference "Varying Constants and Fundamental Cosmology - VARCOSMOFUN'16" (Szczecin, Poland), Published in Universe (proceedings of VARCOSMOFUN'16)
Additional file 1: of Fractal analysis of left ventricular trabeculations is associated with impaired myocardial deformation in healthy Chinese
Creators: name: Jiashen Cai
name: Bryant, Jennifer
name: Thu-Thao Le
name: Boyang Su
name: Marvao, Antonio De
name: OâRegan, Declan
name: Cook, Stuart
name: Chin, Calvin
Publisher: name: figshare
Year: 2017
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: Hematology

description: Online supplemental data. (DOCX 379Â kb)
CUQIpy: I. Computational uncertainty quantification for inverse problems in Python
Creators: name: Riis, Nicolai A B
name: Alghamdi, Amal M A
name: Uribe, Felipe
name: Christensen, Silja L
name: Afkham, Babak M
name: Hansen, Per Christian
name: Jørgensen, Jakob S
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: Mathematical Software (cs.MS)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: G.3; I.4; G.1.0
subject: 65R32, 65C20, 94A08, 65K10

description: This paper introduces CUQIpy, a versatile open-source Python package for computational uncertainty quantification (UQ) in inverse problems, presented as Part I of a two-part series. CUQIpy employs a Bayesian framework, integrating prior knowledge with observed data to produce posterior probability distributions that characterize the uncertainty in computed solutions to inverse problems. The package offers a high-level modeling framework with concise syntax, allowing users to easily specify their inverse problems, prior information, and statistical assumptions. CUQIpy supports a range of efficient sampling strategies and is designed to handle large-scale problems. Notably, the automatic sampler selection feature analyzes the problem structure and chooses a suitable sampler without user intervention, streamlining the process. With a selection of probability distributions, test problems, computational methods, and visualization tools, CUQIpy serves as a powerful, flexible, and adaptable tool for UQ in a wide selection of inverse problems. Part II of the series focuses on the use of CUQIpy for UQ in inverse problems with partial differential equations (PDEs).
description: 37 pages, 11 figures
CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python
Creators: name: Alghamdi, Amal M A
name: Riis, Nicolai A B
name: Afkham, Babak M
name: Uribe, Felipe
name: Christensen, Silja L
name: Hansen, Per Christian
name: Jørgensen, Jakob S
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: Mathematical Software (cs.MS)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: G.3; G.1.8
subject: 65R32, 65C20, 94A08, 65K10, 65M32

description: Inverse problems, particularly those governed by Partial Differential Equations (PDEs), are prevalent in various scientific and engineering applications, and uncertainty quantification (UQ) of solutions to these problems is essential for informed decision-making. This second part of a two-paper series builds upon the foundation set by the first part, which introduced CUQIpy, a Python software package for computational UQ in inverse problems using a Bayesian framework. In this paper, we extend CUQIpy's capabilities to solve PDE-based Bayesian inverse problems through a general framework that allows the integration of PDEs in CUQIpy, whether expressed natively or using third-party libraries such as FEniCS. CUQIpy offers concise syntax that closely matches mathematical expressions, streamlining the modeling process and enhancing the user experience. The versatility and applicability of CUQIpy to PDE-based Bayesian inverse problems are demonstrated on examples covering parabolic, elliptic and hyperbolic PDEs. This includes problems involving the heat and Poisson equations and application case studies in electrical impedance tomography and photo-acoustic tomography, showcasing the software's efficiency, consistency, and intuitive interface. This comprehensive approach to UQ in PDE-based inverse problems provides accessibility for non-experts and advanced features for experts.
description: 38 pages, 12 figures
MOESM1 of Synergistic production of 20(S)-protopanaxadiol from protopanaxadiol-type ginsenosides by β-glycosidases from Dictyoglomus turgidum and Caldicellulosiruptor bescii
Creators: name: Ji-Hyeon Choi
name: Min-Ju Seo
name: Kyung-Chul Shin
name: Lee, Ki
name: Deok-Kun Oh
Publisher: name: figshare
Year: 2017
Subjects: subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Plant Biology

description: Additional file 1: Figure S1. SDS-PAGE analysis of purified enzyme. Lane 1 marker proteins; lane 2 DT-bgl (85 kDa); lane 3 β-glycosidase from P. furiosus (55 kDa); lane 4 β-galactosidase from C. saccharolyticus (79 kDa); lane 5 CB-bgl (53 kDa); lane 6 β-glycosidase from S. acidocaldarius (57 kDa); and lane 7 β-glycosidase from S. solfataricus (57 kDa). Figure S2. HPLC profiles obtained during the conversion of PPD-type ginsenosides in ginseng root extract to APPD by DT-bgl alone. Figure S3. HPLC profiles obtained during the conversion of PPD-type ginsenosides in ginseng root extract to APPD by a DT-bgl supplemented with DT-bgl and b P. furiosus β-glycosidase. Table S1. Contents of protopanaxadiol (PPD)- and protopanaxatriol (PPT)-type ginsenosides in ginseng root extract powder.
Probing scrambling and operator size distributions using random mixed states and local measurements
Creators: name: Blocher, Philip Daniel
name: Chinni, Karthik
name: Omanakuttan, Sivaprasad
name: Poggi, Pablo M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The dynamical spreading of quantum information through a many-body system, typically called scrambling, is a complex process that has proven to be essential to describe many properties of out-of-equilibrium quantum systems. Scrambling can, in principle, be fully characterized via the use of out-of-time-ordered correlation functions, which are notoriously hard to access experimentally. In this work, we put forward an alternative toolbox of measurement protocols to experimentally probe scrambling by accessing properties of the operator size probability distribution, which tracks the size of the support of observables in a many-body system over time. Our measurement protocols require the preparation of separable mixed states together with local operations and measurements, and combine the tools of randomized operations, a modern development of near-term quantum algorithms, with the use of mixed states, a standard tool in NMR experiments. We demonstrate how to efficiently probe the probability-generating function of the operator distribution and discuss the challenges associated with obtaining the moments of the operator distribution. We further show that manipulating the initial state of the protocol allows us to directly obtain the individual elements of the distribution for small system sizes.
description: 15 pages, 7 figures
Rigidity for critical points in the Levy-Gromov inequality
Creators: name: Cavalletti, Fabio
name: Maggi, Francesco
name: Mondino, Andrea
Publisher: name: arXiv
Year: 2016
Subjects: subject: Differential Geometry (math.DG)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: The Levy-Gromov inequality states that round spheres have the least isoperimetric profile (normalized by total volume) among Riemannian manifolds with a fixed positive lower bound on the Ricci tensor. In this note we study critical metrics corresponding to the Levy-Gromov inequality and prove that, in two-dimensions, this criticality condition is quite rigid, as it characterizes round spheres and projective planes.
description: 5 pages
Day-night transport induced chemistry and clouds on WASP-39b I: Gas-phase composition
Creators: name: Tsai, Shang-Min
name: Moses, Julianne I.
name: Powell, Diana
name: Lee, Elspeth K. H.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: JWST has recently detected the first robust photochemical product on an exoplanet: sulfur dioxide (SO$_2$) on WASP-39b (Rustamkulov et al. 2023; Alderson et al. 2023; Tsai et al. 2023b). The data from the NIRISS instrument also reveal signs of partial coverage of clouds (Feinstein et al. 2023). Most of the previous studies have focused on interpreting spectral data with 1D models. To explore how the chemical species and cloud particles are altered by global circulation, we applied a 2D photochemical model and a 2D microphysical cloud model separately to post-process the thermal and dynamical structures simulated by a 3D general circulation model (GCM) of WASP-39b. We found that SO$_2$ produced by photochemistry on the dayside can be transported to the nightside owing to the efficient replenishment of horizontal transport. The morning-evening limb differences in methane (CH$_4$) abundances predicted by the 1D models disappeared after horizontal transport is included. Similarly, the inclusion of horizontal transport also reduced the limb differences in SO$_2$. Our modeling results suggest that the fast zonal wind results in minimal or negligible limb asymmetry in composition. Based on the synthetic spectra generated by our 2D atmosphere simulations, we propose that observing SO$_2$ absorption in the emission spectra of WASP-39b at different phases may offer opportunities to probe the horizontal quenching process of photochemical products. We will focus on the gas-phase chemistry in this paper and leave the results regarding clouds in the subsequent paper as part of the series.
description: 10 pages, 6 figures, published in ApJL
Trainable and Explainable Simplicial Map Neural Networks
Creators: name: Paluzo-Hidalgo, Eduardo
name: Gutiérrez-Naranjo, Miguel A.
name: Gonzalez-Diaz, Rocio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Algebraic Topology (math.AT)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Simplicial map neural networks (SMNNs) are topology-based neural networks with interesting properties such as universal approximation ability and robustness to adversarial examples under appropriate conditions. However, SMNNs present some bottlenecks for their possible application in high-dimensional datasets. First, SMNNs have precomputed fixed weight and no SMNN training process has been defined so far, so they lack generalization ability. Second, SMNNs require the construction of a convex polytope surrounding the input dataset. In this paper, we overcome these issues by proposing an SMNN training procedure based on a support subset of the given dataset and replacing the construction of the convex polytope by a method based on projections to a hypersphere. In addition, the explainability capacity of SMNNs and an effective implementation are also newly introduced in this paper.
Terror on stage
Creators: name: Lyssa, Alison
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Perpetrators of terror, torture and war spin language into sophistries, cloak power in illusions and enact a theatre of dismemberment upon their victims and the earth. How might a make-believe art subvert those actions on its stage? Drawing on Anne Ubersfeld's repudiation of "naturalistic realism" for the "passivity" it induces, Joanne Tompkin's study of Australian cultural production that "unsettles" the nation's raced and anxious surface, and Heiner Müller's notion of a performed image generating explosive, border-crossing force, this thesis investigates how two contemporary Australian tragedies and the writer's own playscript may "unsettle" received space and subjectivity, while lighting selfhoods and landscapes that violent power seeks to conceal.
MOESM1 of Designer rhamnolipids by reduction of congener diversity: production and characterization
Creators: name: Tiso, Till
name: Zauter, Rabea
name: Tulke, Hannah
name: Leuchtle, Bernd
name: Wing-Jin Li
name: Behrens, Beate
name: Wittgens, Andreas
name: Rosenau, Frank
name: Hayen, Heiko
name: Blank, Lars
Publisher: name: figshare
Year: 2017
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Additional file 1. Compilation of extra information for better comprehension of the contents of the study. The file contains a more detailed description of some methods, as well as some additional figures for the presented results.
Interaction-induced transition in quantum many-body detection probability
Creators: name: Purkayastha, Archak
name: Imparato, Alberto
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: With the advent of digital and analog quantum simulation experiments, it is now possible to experimentally simulate dynamics of quantum many-body lattice systems and make site-resolved measurements. These experiments make it pertinent to consider the probability of getting any specific measurement outcome, which we call the `signal', on placing multiple detectors at various sites while simulating dynamics of a quantum many-body lattice system. In this work, we formulate and investigate this problem, introducing the concept of quantum many-body detection probability (QMBDP), which refers to the probability of detecting a chosen signal at least once in a given time. We show that, on tuning some Hamiltonian parameters, there can be sharp transition from a regime where QMBDP $\approx 1$, to a regime, where QMBDP $\approx 0$. Most notably, the effects of such a transition can be observed at a single trajectory level. This is not a measurement-induced transition, but rather a non-equilibrium transition reflecting opening of a specific type of gap in the many-body spectrum. We demonstrate this in a single-impurity non-integrable model, where changing the many-body interaction strength brings about such a transition. Our findings suggest that instead of measuring expectation values, single-shot stroboscopic measurements could be used to observe non-equilibrium transitions.
On the Laws of Large Numbers in Possibility Theory
Creators: name: Gal, Sorin G.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Probability (math.PR)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 28A10, 28E10, 60F05, 60F15, 60E15

description: In this paper we obtain some possibilistic variants of the probabilistic laws of large numbers, different from those obtained by other authors, but very natural extensions of the corresponding ones in probability theory. Our results are based on the possibility measure and on the "maxitive" definitions for possibility expectation and possibility variance. Also, we show that in this frame, the weak form of the law of large numbers, implies the strong law of large numbers.
description: 10 pages
Event Encryption: Rethinking Privacy Exposure for Neuromorphic Imaging
Creators: name: Zhang, Pei
name: Zhu, Shuo
name: Lam, Edmund Y.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Bio-inspired neuromorphic cameras sense illumination changes on a per-pixel basis and generate spatiotemporal streaming events within microseconds in response, offering visual information with high temporal resolution over a high dynamic range. Such devices often serve in surveillance systems due to their applicability and robustness in environments with high dynamics and harsh lighting, where they can still supply clearer recordings than traditional imaging. In other words, when it comes to privacy-relevant cases, neuromorphic cameras also expose more sensitive data and pose serious security threats. Therefore, asynchronous event streams necessitate careful encryption before transmission and usage. This work discusses several potential attack scenarios and approaches event encryption from the perspective of neuromorphic noise removal, in which we inversely introduce well-crafted noise into raw events until they are obfuscated. Our evaluations show that the encrypted events can effectively protect information from attacks of low-level visual reconstruction and high-level neuromorphic reasoning, and thus feature dependable privacy-preserving competence. The proposed solution gives impetus to the security of event data and paves the way to a highly encrypted technique for privacy-protective neuromorphic imaging.
description: 6 pages, 6 figures, and 2 tables. Accepted by IOP Neuromorphic Computing and Engineering
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome VIII, Cart. 192 (11 H 77), 295 folios, f. 0116r
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome VIII, Archives départementales de la Côte-d'Or, Cart. 192 (11 H 77), 295 folios, f. 0116r, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome VIII, Archives départementales de la Côte-d'Or, Cart. 192 (11 H 77), 295 folios, f. 0116r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
Topological suppression of magnetoconductance oscillations in NS junctions
Creators: name: Osca, Javier
name: Serra, Llorenç
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We show that the magnetoconductance oscillations of laterally-confined 2D NS junctions are completely suppressed when the superconductor side enters a topological phase. This suppression can be attributed to the modification of the vortex structure of local currents at the junction caused by the topological transition of the superconductor. The two regimes (with and without oscillations) could be seen in a semiconductor 2D junction with a cleaved-edge geometry, one of the junction arms having proximitized superconductivity. We predict similar oscillations and suppression as a function of the Rashba coupling. The oscillation suppression is robust against differences in chemical potential and phases of lateral superconductors.
description: 7 pages, 7 figures
Drivers of spider body plans: time, geography or climate?
Creators: name: Clarke, Thomas
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Spiders are a highly diverse order that are present across practically all terrestrial environments. Many aspects of their morphological characteristics have been studied, but what is not as well-known is the impact that climate has on their body-plan diversity and body plan overall. Spiders from differing climates or continents could have differing morphological variation. Spiders from five sites across climates, geographies and slices of geological time were measured and mapped on a two-dimensional representation of morphological space. One modern and one fossil site were specifically matched for climate, the two modern sites were matched for geography and two fossil sites were matched for geological epoch. From the analysis, it was shown that neither climate nor geography played any role in separating the sites in morphological space. The sites from the same epoch (Eocene for fossil, and modern) were identical to one another across the critical axis of the morphospace, which separated spiders by the ratio between their body length and leg length. Based on the family composition in sites and how well-constrained morphology was within a family, it seems most likely that phylogenetics or ecology dictate a spiders body plan. However close examination of a single family could yet yield other interesting results.
MOESM3 of Genome-wide identification and characterization of the ALOG gene family in Petunia
Creators: name: Chen, Feng
name: Zhou, Qin
name: Wu, Lan
name: Li, Fei
name: Liu, Baojun
name: Zhang, Shuting
name: Zhang, Jiaqi
name: Bao, Manzhu
name: Liu, Guofeng
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Virology

description: Additional file 3. Primers used in this study for cloning PhLSH CDS, qRT-PCR and transgene line RT-PCR.
Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor
Creators: name: Bhattacharyya, Prabudhya
name: Chen, Wuhao
name: Huang, Xiaoli
name: Chatterjee, Shubhayu
name: Huang, Benchen
name: Kobrin, Bryce
name: Lyu, Yuanqi
name: Smart, Thomas J.
name: Block, Maxwell
name: Wang, Esther
name: Wang, Zhipan
name: Wu, Weijie
name: Hsieh, Satcher
name: Ma, He
name: Mandyam, Srinivas
name: Chen, Bijuan
name: Davis, Emily
name: Geballe, Zachary M.
name: Zu, Chong
name: Struzhkin, Viktor
name: Jeanloz, Raymond
name: Moore, Joel E.
name: Cui, Tian
name: Galli, Giulia
name: Halperin, Bertrand I.
name: Laumann, Chris R.
name: Yao, Norman Y.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: By directly altering microscopic interactions, pressure provides a powerful tuning knob for the exploration of condensed phases and geophysical phenomena. The megabar regime represents an exciting frontier, where recent discoveries include novel high-temperature superconductors, as well as structural and valence phase transitions. However, at such high pressures, many conventional measurement techniques fail. Here, we demonstrate the ability to perform local magnetometry inside of a diamond anvil cell with sub-micron spatial resolution at megabar pressures. Our approach utilizes a shallow layer of Nitrogen-Vacancy (NV) color centers implanted directly within the anvil; crucially, we choose a crystal cut compatible with the intrinsic symmetries of the NV center to enable functionality at megabar pressures. We apply our technique to characterize a recently discovered hydride superconductor, CeH$_9$. By performing simultaneous magnetometry and electrical transport measurements, we observe the dual signatures of superconductivity: local diamagnetism characteristic of the Meissner effect and a sharp drop of the resistance to near zero. By locally mapping the Meissner effect and flux trapping, we directly image the geometry of superconducting regions, revealing significant inhomogeneities at the micron scale. Our work brings quantum sensing to the megabar frontier and enables the closed loop optimization of superhydride materials synthesis.
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
Creators: name: Stein, Jonas
name: Schuman, Daniëlle
name: Benkard, Magdalena
name: Holger, Thomas
name: Sajko, Wanja
name: Kölle, Michael
name: Nüßlein, Jonas
name: Sünkel, Leo
name: Salomon, Olivier
name: Linnhoff-Popien, Claudia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Emerging Technologies (cs.ET)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Anomaly detection in Endpoint Detection and Response (EDR) is a critical task in cybersecurity programs of large companies. With rapidly growing amounts of data and the omnipresence of zero-day attacks, manual and rule-based detection techniques are no longer eligible in practice. While classical machine learning approaches to this problem exist, they frequently show unsatisfactory performance in differentiating malicious from benign anomalies. A promising approach to attain superior generalization than currently employed machine learning techniques are quantum generative models. Allowing for the largest representation of data on available quantum hardware, we investigate Quantum Annealing based Quantum Boltzmann Machines (QBMs) for the given problem. We contribute the first fully unsupervised approach for the problem of anomaly detection using QBMs and evaluate its performance on an EDR inspired synthetic dataset. Our results indicate that QBMs can outperform their classical analog (i.e., Restricted Boltzmann Machines) in terms of result quality and training steps in special cases. When employing Quantum Annealers from D-Wave Systems, we conclude that either more accurate classical simulators or substantially more QPU time is needed to conduct the necessary hyperparameter optimization allowing to replicate our simulation results on quantum hardware.