cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Migdal's theorem and electron-phonon vertex corrections in Dirac materials
Creators: name: Roy, Bitan
name: Sau, Jay Deep
name: Sarma, S. Das
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Migdal's theorem plays a central role in the physics of electron-phonon interactions in metals and semiconductors, and has been extensively studied theoretically for parabolic band electronic systems in three-, two-, and one-dimensional systems over the last fifty years. In the current work, we theoretically study the relevance of Migdal's theorem in graphene and Weyl semimetals which are examples of 2D and 3D Dirac materials, respectively, with linear and chiral band dispersion. Our work also applies to 2D and 3D topological insulator systems. In Fermi liquids, the renormalization of the electron-phonon vertex scales as the ratio of sound ($v_s$) to Fermi ($v_F$) velocity, which is typically a small quantity. In two- and three-dimensional quasirelativistic systems, such as undoped graphene and Weyl semimetals, the one loop electron-phonon vertex renormalization, which also scales as $η=v_s/v_F$ as $η\rightarrow 0$, is, however, enhanced by an ultraviolet \emph{logarithmic divergent correction}, arising from the linear, chiral Dirac band dispersion. Such enhancement of the electron-phonon vertex can be significantly softened due to the logarithmic increment of the Fermi velocity, arising from the long range Coulomb interaction, and therefore, the electron-phonon vertex correction does not have a logarithmic divergence at low energy. Otherwise, the Coulomb interaction does not lead to any additional renormalization of the electron-phonon vertex. Therefore, electron-phonon vertex corrections in two- and three-dimensional Dirac fermionic systems scale as $v_s/v^0_F$, where $v^0_F$ is the bare Fermi velocity, and small when $v_s \ll v^0_F$. These results, although explicitly derived for the intrinsic undoped systems, should hold even when the chemical potential is tuned away from the Dirac points.
description: 8 pages, 3 figures, Published version, with new figure, added discussion, typos corrected
Reviewing Ethical and mutually acceptable approaches to getting Remote Employees Back to In-Person Office Work Post-COVID at Amazon
Creators: name: Ojo, Anthony
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 350707
subject: Leadership
classificationCode: 460901
subject: Business process management

description: An academic Paper reviewing the impacts of COVID-19 on Employee/Employer Work preferences and the future of the workplace.
Effective Hamiltonians for quasi-one-dimensional Fermi gases with spin-orbit coupling
Creators: name: Zhang, Ren
name: Zhang, Wei
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We derive one-dimensional effective Hamiltonians for spin-orbit coupled Fermi gases confined in quasi-one-dimensional trapping potentials. For energy regime around the two-body bound state energy, the effective Hamiltonian takes a two-channel form, where the population in transverse excited levels are described by dressed molecules in the closed channel. For energy regime slightly above the continuum threshold, the effective Hamiltonian takes a single-channel form, where low-energy physics is governed by the one-dimensional interacting strength determined by three-dimensional scattering length and transverse confinement. We further discuss the effect of spin-orbit coupling and effective Zeeman field on the position of confinement-induced resonances, and show that these resonances can be understood as Feshbach resonances between the threshold of the transverse ground state and the two-body bound state associated with the transverse excited states. We expect that the shift of confinement-induced resonances can be observed under present experimental technology at attainable temperatures.
description: 8 pages, 3 figures
Hard Lefschetz Property for Isometric Flows
Creators: name: Prieto, José Ignacio Royo
name: Saralegi-Aranguren, Martintxo
name: Wolak, Robert
Publisher: name: arXiv
Year: 2021
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C12, 53D10, 53C25

description: The Hard Lefschetz Property (HLP) is an important property which has been studied in several categories of the symplectic world. For Sasakian manifolds, this duality is satisfied by the basic cohomology (so, it is a transverse property), but a new version of the HLP has been recently given in terms of duality of the cohomology of the manifold itself in arXiv:1306.2896. Both properties were proved to be equivalent (see arXiv:1311.1431) in the case of K-contact flows. In this paper we extend both versions of the HLP (transverse and not) to the more general category of isometric flows, and show that they are equivalent. We also give some explicit examples which illustrate the categories where the HLP could be considered.
description: Accepted for publication in Transformation Groups. Minor changes in the exposition of the proof of Lemma 2.6
Mirror dark matter: Cosmology, galaxy structure and direct detection
Creators: name: Foot, R.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: A simple way to accommodate dark matter is to postulate the existence of a hidden sector. That is, a set of new particles and forces interacting with the known particles predominantly via gravity. In general this leads to a large set of unknown parameters, however if the hidden sector is an exact copy of the standard model sector, then an enhanced symmetry arises. This symmetry, which can be interpreted as space-time parity, connects each ordinary particle ($e, \ ν, \ p, \ n, \ γ, ....)$ with a mirror partner ($e', \ ν', \ p', \ n', \ γ', ...)$. If this symmetry is completely unbroken, then the mirror particles are degenerate with their ordinary particle counterparts, and would interact amongst themselves with exactly the same dynamics that govern ordinary particle interactions. The only new interaction postulated is photon - mirror photon kinetic mixing, whose strength $ε$, is the sole new fundamental (Lagrangian) parameter relevant for astrophysics and cosmology. It turns out that such a theory, with suitably chosen initial conditions effective in the very early Universe, can provide an adequate description of dark matter phenomena provided that $ε\sim 10^{-9}$. This review focuses on three main developments of this mirror dark matter theory during the last decade: Early universe cosmology, galaxy structure and the application to direct detection experiments.
description: 130 pages
Graph Neural Network Policies and Imitation Learning for Multi-Domain Task-Oriented Dialogues
Creators: name: Cordier, Thibault
name: Urvoy, Tanguy
name: Lefèvre, Fabrice
name: Rojas-Barahona, Lina M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Task-oriented dialogue systems are designed to achieve specific goals while conversing with humans. In practice, they may have to handle simultaneously several domains and tasks. The dialogue manager must therefore be able to take into account domain changes and plan over different domains/tasks in order to deal with multidomain dialogues. However, learning with reinforcement in such context becomes difficult because the state-action dimension is larger while the reward signal remains scarce. Our experimental results suggest that structured policies based on graph neural networks combined with different degrees of imitation learning can effectively handle multi-domain dialogues. The reported experiments underline the benefit of structured policies over standard policies.
Robust Software Vulnerability Detection Using Bayesian Gated Recurrent Unit
Creators: name: Aminul, Orune
name: Dera, Dimah
Publisher: name: The University of Texas at Austin
Year: 2022
Subjects: software

description: Software systems are prone to source code vulnerabilities, resulting in deadlock, hacking, information leakage, and system failure. It is crucial to spot the security holes and identify the vulnerable software components prior to such encounters to prevent any security breach or system crash. While conventional machine learning and neural network-based vulnerability detection techniques have been reported in the literature, it is still challenging to determine the trustworthiness of these models. In this study, we develop a robust approach for detecting software vulnerabilities using a Bayesian gated recurrent unit. The proposed model identifies source code vulnerability while simultaneously learning the output prediction uncertainty. In the Bayesian framework, the Gaussian distribution is introduced as a prior distribution over the network parameters, which are then propagated through the network layers and activation functions. At the network output, the mean of the predictive distribution indicates the predicted vulnerability in source codes, while the covariance matrix reflects the uncertainty in predicted vulnerability. To evaluate the robustness of the model, we conducted rigorous experiments with 1.27 million source codes in C/C++. We reported the performance for five types of Common vulnerabilities encountered under different levels of Gaussian noise and adversarial attacks and compared the results with the state-of-the-art methods. The training and testing were done on the HPC resources in The Texas Advanced Computing Center (TACC), particularly on the lonestar6 supercomputer. This work is under the TACC project "TRUST- TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis". By submitting multiple jobs to the queue, we could complete significant simulations within a reasonable period. The investigations have confirmed that the proposed model produces a significantly higher uncertainty when encountered with high levels of natural noise or adversarial attacks and could be used as a measure to alert human users in many high-stake applications.
Additional file 4 of Fall inducing movable platform (FIMP) for overground trips and slips
Creators: name: Er, Jie Kai
name: Donnelly, Cyril John William
name: Wee, Seng Kwee
name: Ang, Wei Tech
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Science Policy

description: Additional file 4. Individual kinematic analysis. Individual kinematic analysis of the transparency and fall trials. These individual results are summarised in the fourth and last row of Figs. 10, 11, 13, 14, 16, 17.
The uniqueness of elementary embeddings
Creators: name: Goldberg, Gabriel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics

description: Much of the theory of large cardinals beyond a measurable cardinal concerns the structure of elementary embeddings of the universe of sets into inner models. This paper seeks to answer the question of whether the inner model uniquely determines the elementary embedding.
description: 25 pages. Fixed a mistake in the proof of Theorem 3.7 pointed out by Moti Gitik
Deep Spectro-temporal Artifacts for Detecting Synthesized Speech
Creators: name: Liu, Xiaohui
name: Liu, Meng
name: Zhang, Lin
name: Zhang, Linjuan
name: Zeng, Chang
name: Li, Kai
name: Li, Nan
name: Lee, Kong Aik
name: Wang, Longbiao
name: Dang, Jianwu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Sound (cs.SD)
subject: Artificial Intelligence (cs.AI)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The Audio Deep Synthesis Detection (ADD) Challenge has been held to detect generated human-like speech. With our submitted system, this paper provides an overall assessment of track 1 (Low-quality Fake Audio Detection) and track 2 (Partially Fake Audio Detection). In this paper, spectro-temporal artifacts were detected using raw temporal signals, spectral features, as well as deep embedding features. To address track 1, low-quality data augmentation, domain adaptation via finetuning, and various complementary feature information fusion were aggregated in our system. Furthermore, we analyzed the clustering characteristics of subsystems with different features by visualization method and explained the effectiveness of our proposed greedy fusion strategy. As for track 2, frame transition and smoothing were detected using self-supervised learning structure to capture the manipulation of PF attacks in the time domain. We ranked 4th and 5th in track 1 and track 2, respectively.
description: 7 pages, 1 figures, Accecpted by Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia
Empty simplices of large width
Creators: name: Doolittle, Joseph
name: Katthän, Lukas
name: Nill, Benjamin
name: Santos, Francisco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics
subject: 52B20, 52C07, 52B15

description: An empty simplex is a lattice simplex in which vertices are the only lattice points. We show two constructions leading to the first known empty simplices of width larger than their dimension:
 - We introduce cyclotomic simplices and exhaustively compute all the cyclotomic simplices of dimension $10$ and volume up to $2^{31}$. Among them we find five empty ones of width $11$, and none of larger width.
 - Using circulant matrices of a very specific form, we construct empty simplices of arbitrary dimension $d$ and width growing asymptotically as $d/\operatorname{arcsinh}(1) \sim 1.1346\,d$.
description: 24 pages; changes from previous version: edits suggested by anonymous referees. This version has been accepted in "Forum Mathematics Sigma"
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
Creators: name: Liu, Tianling
name: Su, Ran
name: Sun, Changming
name: Li, Xiuting
name: Wei, Leyi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Ovarian cancer is one of the most serious cancers that threaten women around the world. Epithelial ovarian cancer (EOC), as the most commonly seen subtype of ovarian cancer, has rather high mortality rate and poor prognosis among various gynecological cancers. Survival analysis outcome is able to provide treatment advices to doctors. In recent years, with the development of medical imaging technology, survival prediction approaches based on pathological images have been proposed. In this study, we designed a deep framework named EOCSA which analyzes the prognosis of EOC patients based on pathological whole slide images (WSIs). Specifically, we first randomly extracted patches from WSIs and grouped them into multiple clusters. Next, we developed a survival prediction model, named DeepConvAttentionSurv (DCAS), which was able to extract patch-level features, removed less discriminative clusters and predicted the EOC survival precisely. Particularly, channel attention, spatial attention, and neuron attention mechanisms were used to improve the performance of feature extraction. Then patient-level features were generated from our weight calculation method and the survival time was finally estimated using LASSO-Cox model. The proposed EOCSA is efficient and effective in predicting prognosis of EOC and the DCAS ensures more informative and discriminative features can be extracted. As far as we know, our work is the first to analyze the survival of EOC based on WSIs and deep neural network technologies. The experimental results demonstrate that our proposed framework has achieved state-of-the-art performance of 0.980 C-index. The implementation of the approach can be found at https://github.com/RanSuLab/EOCprognosis.
description: Published in Expert Systems with Applications 2022
Multi-Structural Games and Number of Quantifiers
Creators: name: Fagin, Ronald
name: Lenchner, Jonathan
name: Regan, Kenneth W.
name: Vyas, Nikhil
Publisher: name: arXiv
Year: 2021
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: We study multi-structural games, played on two sets $\mathcal{A}$ and $\mathcal{B}$ of structures. These games generalize Ehrenfeucht-Fraïssé games. Whereas Ehrenfeucht-Fraïssé games capture the quantifier rank of a first-order sentence, multi-structural games capture the number of quantifiers, in the sense that Spoiler wins the $r$-round game if and only if there is a first-order sentence $ϕ$ with at most $r$ quantifiers, where every structure in $\mathcal{A}$ satisfies $ϕ$ and no structure in $\mathcal{B}$ satisfies $ϕ$. We use these games to give a complete characterization of the number of quantifiers required to distinguish linear orders of different sizes, and develop machinery for analyzing structures beyond linear orders.
Integrated Graphene Patch Antenna for Communications at THz Frequencies
Creators: name: de Santana, E. P.
name: Wigger, A. K.
name: Wang, Z.
name: Wang, K.
name: Lemme, M.
name: Abadal, S.
name: Bolivar, P. H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Graphene is an attractive material for communications in the THz range due to its ability to support surface plasmon polaritons. This enables a graphene antenna to be smaller in size than its metallic counterpart. In addition, the possibility to control the graphene conductivity during operation by an applied bias leads to the tunability of the resonant frequency of graphene antennas. Graphene-based antennas integrated into transceivers working at THz frequencies may lead to faster and more efficient devices. In this work, we design and simulate a graphene patch antenna that can be integrated into transceivers by through-substrate vias. The tuning of the resonant frequency is also studied by simulations.
description: Published in: 2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz)
Effect of quantum nuclear motion on hydrogen bonding
Creators: name: McKenzie, Ross H.
name: Bekker, Christiaan
name: Athokpam, Bijyalaxmi
name: Ramesh, Sai G.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: This work considers how the properties of hydrogen bonded complexes, D-H....A, are modified by the quantum motion of the shared proton. Using a simple two-diabatic state model Hamiltonian, the analysis of the symmetric case, where the donor (D) and acceptor (A) have the same proton affinity, is carried out. For quantitative comparisons, a parametrization specific to the O-H....O complexes is used. The vibrational energy levels of the one-dimensional ground state adiabatic potential of the model are used to make quantitative comparisons with a vast body of condensed phase data, spanning a donor-acceptor separation (R) range of about 2.4-3.0 A, i.e., from strong to weak bonds. The position of the proton and its longitudinal vibrational frequency, along with the isotope effects in both are discussed. An analysis of the secondary geometric isotope effects, using a simple extension of the two-state model, yields an improved agreement of the predicted variation with R of frequency isotope effects. The role of the bending modes in also considered: their quantum effects compete with those of the stretching mode for certain ranges of H-bond strengths. In spite of the economy in the parametrization of the model used, it offers key insights into the defining features of H-bonds, and semi-quantitatively captures several experimental trends.
description: 12 pages, 8 figures. Notation clarified. Revised figure including the effect of bending vibrations on secondary geometric isotope effect. Final version, accepted for publication in Journal of Chemical Physics
Additional file 1 of Contribution of major food companies and their products to household dietary sodium purchases in Australia
Creators: name: Coyle, Daisy H.
name: Shahid, Maria
name: Dunford, Elizabeth K.
name: Cliona Ni Mhurchu
name: Mckee, Sarah
name: Myla Santos
name: Popkin, Barry M.
name: Trieu, Kathy
name: Marklund, Matti
name: Taylor, Fraser
name: Neal, Bruce
name: Wu, Jason H. Y.
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Neuroscience
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: Additional file 1: Additional Table 1. Food categorisation system and categories included in the current analyses. Additional Figure 1. Merging of FoodSwitch and Nielsen Homescan datasets. Additional Table 2. Sociodemographic characteristics of the Nielsen Homescan Consumer Panel in 2018 projected to the Australian population compared with 2016 Australian Census data. Additional Figure 2. Percentage of products meeting and not meeting proposed Healthy Food Partnership sodium targets. Additional Table 3. Sodium from Australian household packaged food and beverage purchases according to income level. Additional Table 4. Sodium acquired from Australian household food and beverage purchases, including barcoded and non-barcoded products.
Overview of the Massive Young Star-Forming Complex Study in Infrared and X-ray (MYStIX) Project
Creators: name: Feigelson, Eric D.
name: Townsley, Leisa K.
name: Broos, Patrick S.
name: Busk, Heather A.
name: Getman, Konstantin V.
name: King, Robert
name: Kuhn, Michael A.
name: Naylor, Tim
name: Povich, Matthew
name: Baddeley, Adrian
name: Bate, Matthew
name: Indebetouw, Remy
name: Luhman, Kevin
name: McCaughrean, Mark
name: Pittard, Julian
name: Pudritz, Ralph
name: Sills, Alison
name: Song, Yong
name: Wadsley, James
Publisher: name: arXiv
Year: 2013
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: MYStIX (Massive Young Star-Forming Complex Study in Infrared and Xray) seeks to characterize 20 OB-dominated young clusters and their environs at distances d < 4 kpc using imaging detectors on the Chandra X-ray Observatory, Spitzer Space Telescope, and the United Kingdom InfraRed Telescope. The observational goals are to construct catalogs of star-forming complex stellar members with well-defined criteria, and maps of nebular gas (particularly of hot X-ray emitting plasma) and dust. A catalog of MYStIX Probable Complex Members (MPCMs) with several hundred OB stars and > 30, 000 low mass premain sequence is assembled. This sample and related data products will be used to seek new empirical constraints on theoretical models of cluster formation and dynamics, mass segregation, OB star formation, star formation triggering on the periphery of HII regions, the survivability of protoplanetary disks in HII regions. This paper give an introduction and overview of the project, covering the data analysis methodology and application to two star forming regions, NGC 2264 and the Trifid Nebula.
description: 74 pages, 10 figures. To appear in Astrophysical Journal Supplements (with 6 other MYStIX papers). A version with complete figures is available at http://www.astro.psu.edu/mystix
Robust Estimation in Finite Mixture Models
Creators: name: Lecestre, Alexandre
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics
subject: 62G05, 62G35, 62F35 (Primary) 62G07 (Secondary)

description: We observe a $n$-sample, the distribution of which is assumed to belong, or at least to be close enough, to a given mixture model. We propose an estimator of this distribution that belongs to our model and possesses some robustness properties with respect to a possible misspecification of it. We establish a non-asymptotic deviation bound for the Hellinger distance between the target distribution and its estimator when the model consists of a mixture of densities that belong to VC-subgraph classes. Under suitable assumptions and when the mixture model is well-specified, we derive risk bounds for the parameters of the mixture. Finally, we design a statistical procedure that allows us to select from the data the number of components as well as suitable models for each of the densities that are involved in the mixture. These models are chosen among a collection of candidate ones and we show that our selection rule combined with our estimation strategy result in an estimator which satisfies an oracle-type inequality.
Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification
Creators: name: Naulet, Zacharie
name: Rousseau, Judith
name: Caron, François
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics

description: This article studies the asymptotic properties of Bayesian or frequentist estimators of a vector of parameters related to structural properties of sequences of graphs. The estimators studied originate from a particular class of graphex model introduced by Caron and Fox. The analysis is however performed here under very weak assumptions on the underlying data generating process, which may be different from the model of Caron and Fox or from a graphex model. In particular, we consider generic sparse graph models, with unbounded degree, whose degree distribution satisfies some assumptions. We show that one can relate the limit of the estimator of one of the parameters to the sparsity constant of the true graph generating process. When taking a Bayesian approach, we also show that the posterior distribution is asymptotically normal. We discuss situations where classical random graphs models such as configuration models, sparse graphon models, edge exchangeable models or graphon processes satisfy our assumptions.
Multi-loop Integrand Reduction with Computational Algebraic Geometry
Creators: name: Badger, Simon
name: Frellesvig, Hjalte
name: Zhang, Yang
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We discuss recent progress in multi-loop integrand reduction methods. Motivated by the possibility of an automated construction of multi-loop amplitudes via generalized unitarity cuts we describe a procedure to obtain a general parameterisation of any multi-loop integrand in a renormalizable gauge theory. The method relies on computational algebraic geometry techniques such as Gröbner bases and primary decomposition of ideals. We present some results for two and three loop amplitudes obtained with the help of the Macaulay2 computer algebra system and the Mathematica package BasisDet.
description: Contribution to the 15th International Workshop on advanced computing and analysis techniques (ACAT 2013), 16-21 May, Beijing, China. 8 pages, 2 figures
Beyond equivalency: comparing governance and sustainability of three North American organic standards
Creators: name: Klassen, Susanna
name: Luna-Perez, Erika
name: Bridson, Noa
name: Violante, Laura Castrejón
name: Wittman, Hannah
name: Ramankutty, Navin
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Molecular Biology
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: Mental Health

description: We compare the extent to which national organic standards in North America reflect principles and benchmark practices for agricultural sustainability, and the governance and legal context that shape them. We find that Canada has the strongest principles, and the US the weakest. Mexican and Canadian standards are stronger in terms of sustainable management practices than the US. No standards contained practice requirements related to social and employment standards. Our research describes how governance processes shape the establishment of national standards. We also find that the laws that govern organic regimes do not necessarily reflect the content of the standards.
Additional file 1 of Are dietary interventions with a behaviour change theoretical framework effective in changing dietary patterns? A systematic review
Creators: name: Timlin, Deirdre
name: McCormack, Jacqueline M.
name: Kerr, Maeve
name: Keaver, Laura
name: Simpson, Ellen E. A.
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. PRISMA 2009 checklist. The PRISMA 2009 checklist is a 27 item checklist for the reporting of a systematic review and/or meta-analysis, which include the title, abstract, methods, results, discussion, and funding.
Absolute frequency measurement of the 171Yb optical lattice clock at KRISS using TAI for over a year
Creators: name: Kim, Huidong
name: Heo, Myoung-Sun
name: Park, Chang Yong
name: Yu, Dai-Hyuk
name: Lee, Won-Kyu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We report a measurement of the absolute frequency of the 1S0-3P0 transition in the 171Yb optical lattice clock at KRISS (KRISS-Yb1) for 14 months, which was referenced to the SI second by primary and secondary standards worldwide via TAI (International Atomic Time). The determined absolute frequency is 518 295 836 590 863.75(14) Hz with the relative frequency uncertainty of 2.6x10^-16, which agrees well with other reports. This result is expected to contribute to the future update of the CIPM recommendation frequency of the secondary frequency standards.
description: Corrigendum at the end of this article reflects the new height measurement
[Sammelband von 46 größtenteils geistlichen Liedern aus der ersten Hälfte des 16. Jahrhunderts]; [1500-1550]
Creators: name: (:Unav)
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2010

description: Entstehungsort: Nürnberg, Landshut, Augsburg, Regensburg, Mainz, Straßburg, Wien. - Entstehungszeit: Erste Hälfte des 16. Jahrhunderts
Ab initio NCSM/RGM for three-body cluster systems and application to $^4$He+n+n
Creators: name: Romero-Redondo, Carolina
name: Navratil, Petr
name: Quaglioni, Sofia
name: Hupin, Guillaume
Publisher: name: arXiv
Year: 2013
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We introduce an extension of the ab initio no-core shell model/resonating group method (NCSM/RGM) in order to describe three-body cluster states. We present results for the $^6$He ground state within a $^4$He+n+n cluster basis as well as first results for the phase shifts of different channels of the $^4$He+n+n system which provide information about low-lying resonances of this nucleus.
description: 4 pages, 3 figures, Proceedings of the 22nd European Conference on Few-Body Problems in Physics, Krakow, Poland, 9 - 13 September 2013
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
Creators: name: Fu, Yuqian
name: Xie, Yu
name: Fu, Yanwei
name: Chen, Jingjing
name: Jiang, Yu-Gang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Recently, Cross-Domain Few-Shot Learning (CD-FSL) which aims at addressing the Few-Shot Learning (FSL) problem across different domains has attracted rising attention. The core challenge of CD-FSL lies in the domain gap between the source and novel target datasets. Though many attempts have been made for CD-FSL without any target data during model training, the huge domain gap makes it still hard for existing CD-FSL methods to achieve very satisfactory results. Alternatively, learning CD-FSL models with few labeled target domain data which is more realistic and promising is advocated in previous work~\cite{fu2021meta}. Thus, in this paper, we stick to this setting and technically contribute a novel Multi-Expert Domain Decompositional Network (ME-D2N). Concretely, to solve the data imbalance problem between the source data with sufficient examples and the auxiliary target data with limited examples, we build our model under the umbrella of multi-expert learning. Two teacher models which can be considered to be experts in their corresponding domain are first trained on the source and the auxiliary target sets, respectively. Then, the knowledge distillation technique is introduced to transfer the knowledge from two teachers to a unified student model. Taking a step further, to help our student model learn knowledge from different domain teachers simultaneously, we further present a novel domain decomposition module that learns to decompose the student model into two domain-related sub parts. This is achieved by a novel domain-specific gate that learns to assign each filter to only one specific domain in a learnable way. Extensive experiments demonstrate the effectiveness of our method. Codes and models are available at https://github.com/lovelyqian/ME-D2N_for_CDFSL.
description: Accepted by ACM Multimedia 2022
Analyzing and Improving Security-Enhanced Communication Protocols
Creators: name: Wang, Weicheng
Publisher: name: Purdue University Graduate School
Year: 2023
Subjects: classificationCode: 460403
subject: Data security and protection
classificationCode: 460402
subject: Data and information privacy

description: Security and privacy are one of the top concerns when experts select for communication protocols. When a protocol is confirmed with problems, such as leaking users’ privacy, the protocol developers will upgrade it to an advanced version to cover those concerns in a short interval, or the protocol will be discarded or replaced by other secured ones. There are always communication protocols failing to protect users’ privacy or exposing users’ accounts under attack. A malicious user or an attacker can utilize the vulnerabilities in the protocol to gain private information, or even take control of the users’ devices. Hence, it is important to expose those protocols and improve them to enhance the security properties. Some protocols protect users’ privacy but in a less efficient way. Due to the new cryptography technique or the modern hardware support, the protocols can be improved with less overhead and enhanced security protection. In this dissertation, we focus on analyzing and improving security-enhanced communication protocols in three aspects: (1) We systematically analyzed an existing and widely used communication protocol: Zigbee. We identified the vulnerabilities of the existing Zigbee protocols during the new device joining process and proposed a security-enhanced Zigbee protocol. The new protocol utilized public-key primitives with little extra overhead with capabilities to protect against the outsourced attackers. The new protocol is formally verified and implemented with a prototype. (2) We explored one type of communication detection system: Keyword-based deep packet inspection. The system has several protocols, such as BlindBox, PrivDPI, PE-DPI, mbTLS, and so on. We analyzed those protocols and identified their vulnerabilities or inefficiencies. To address those issues, we proposed three enhanced protocols: MT-DPI, BH-DPI, and CE-DPI which work readily with AES-based encryption schemes deployed and well-supported by AES-NI. Specifically, MT-DPI utilized multiplicative triples to support multi-party computation. (3) We developed a technique to support Distributed confidential computing with the use of a trusted execution environment. We found that the existing confidential computing cannot handle multiple-stakeholder scenarios well and did not give reasonable control over derived data after computation. We analyzed six real use cases and pointed out what is missing in the existing solutions. To bridge the gap, we developed a language SeDS policy that was built on top of the trusted execution environment. It works well for specific privacy needs during the collaboration and gives protection over the derived data. We examined the language in the use cases and showed the benefits of applying the new policies.
Analyticity and Unitarity for Cosmological Correlators
Creators: name: Di Pietro, Lorenzo
name: Gorbenko, Victor
name: Komatsu, Shota
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the fundamentals of quantum field theory on a rigid de Sitter space. We show that the perturbative expansion of late-time correlation functions to all orders can be equivalently generated by a non-unitary Lagrangian on a Euclidean AdS geometry. This finding simplifies dramatically perturbative computations, as well as allows us to establish basic properties of these correlators, which comprise a Euclidean CFT. We use this to infer the analytic structure of the spectral density that captures the conformal partial wave expansion of a late-time four-point function, to derive an OPE expansion, and to constrain the operator spectrum. Generically, dimensions and OPE coefficients do not obey the usual CFT notion of unitarity. Instead, unitarity of the de Sitter theory manifests itself as the positivity of the spectral density. This statement does not rely on the use of Euclidean AdS Lagrangians and holds non-perturbatively. We illustrate and check these properties by explicit calculations in a scalar theory by computing first tree-level, and then full one-loop-resummed exchange diagrams. An exchanged particle appears as a resonant feature in the spectral density which can be potentially useful in experimental searches.
description: v5: 95 pages, 22 figures, typos corrected, added comments about heavy operators
Additional file 1 of The effects of everyday-life exposure to polycyclic aromatic hydrocarbons on biological age indicators
Creators: name: Pavanello, Sofia
name: Campisi, Manuela
name: Mastrangelo, Giuseppe
name: Hoxha, Mirjam
name: Bollati, Valentina
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Developmental Biology
subject: Cancer
subject: Science Policy

description: Additional file 1: Table 1S. Spearman’s rank coefficients and significance level for pairwise correlation of the different environmental exposures to PAHs (see Methods for definitions) as well as age and sex. Table 2S. Four groups of SEM results (structural equations, measurement, variances and covariances) for the analysis of tl50; standardized beta coefficients (with “minus” sign indicating inverse relationship) with lower and upper limit of 95% confidence intervals (95%CI) and p-values. SEM’s goodness-of-fit statistics at bottom of table. Table 3S. Four groups of SEM results (structural equations, measurement, variances and covariances) for analysis of LmtDNAcn: standardized beta coefficients (with “minus” sign indicating inverse relationship) with lower and upper limit of 95% confidence intervals (95%CI) and p-values. SEM’s goodness-of-fit statistics at bottom of table.
SELM: Siamese Extreme Learning Machine with Application to Face Biometrics
Creators: name: Kudisthalert, Wasu
name: Pasupa, Kitsuchart
name: Morales, Aythami
name: Fierrez, Julian
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: Extreme Learning Machine is a powerful classification method very competitive existing classification methods. It is extremely fast at training. Nevertheless, it cannot perform face verification tasks properly because face verification tasks require comparison of facial images of two individuals at the same time and decide whether the two faces identify the same person. The structure of Extreme Leaning Machine was not designed to feed two input data streams simultaneously, thus, in 2-input scenarios Extreme Learning Machine methods are normally applied using concatenated inputs. However, this setup consumes two times more computational resources and it is not optimized for recognition tasks where learning a separable distance metric is critical. For these reasons, we propose and develop a Siamese Extreme Learning Machine (SELM). SELM was designed to be fed with two data streams in parallel simultaneously. It utilizes a dual-stream Siamese condition in the extra Siamese layer to transform the data before passing it along to the hidden layer. Moreover, we propose a Gender-Ethnicity-Dependent triplet feature exclusively trained on a variety of specific demographic groups. This feature enables learning and extracting of useful facial features of each group. Experiments were conducted to evaluate and compare the performances of SELM, Extreme Learning Machine, and DCNN. The experimental results showed that the proposed feature was able to perform correct classification at 97.87% accuracy and 99.45% AUC. They also showed that using SELM in conjunction with the proposed feature provided 98.31% accuracy and 99.72% AUC. They outperformed the well-known DCNN and Extreme Leaning Machine methods by a wide margin.
description: 15 pages, 11 figures
Thin films MnGe grown on Si(111)
Creators: name: Engelke, Josefin
name: Menzel, Dirk
name: Dyadkin, Vadim
Publisher: name: arXiv
Year: 2013
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: MnGe has been grown as a thin film on Si(111) substrates by molecular beam epitaxy. A 10 Å layer of MnSi was used as seedlayer in order to establish the B20 crystal structure. Films of a thickness between 45 and 135 Å have been prepared and structually characterized by RHEED, AFM and XRD. These techniques give evidence that MnGe forms in the cubic B20 crystal structure as islands exhibiting a very smooth surface. The islands become larger with increasing film thickness. A magnetic characterization reveals that the ordering temperature of MnGe thin films is enhanced compared to bulk material. The properties of the helical magnetic structure obtained from magnetization and magnetoresistivity measurements are compared with films of the related compound MnSi. The much larger Dzyaloshinskii-Moriya interaction in MnGe results in a higher rigidness of the spin helix.
description: 5 pages, 6 figures
PolarBase: a data base of high resolution spectropolarimetric stellar observations
Creators: name: Petit, P.
name: Louge, T.
name: Théado, S.
name: Paletou, F.
name: Manset, N.
name: Morin, J.
name: Marsden, S. C.
name: Jeffers, S. V.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: PolarBase is an evolving data base that contains all stellar data collected with the ESPaDOnS and NARVAL high-resolution spectropolarimeters, in their reduced form, as soon as they become public. As of early 2014, observations of 2,000 stellar objects throughout the Hertzsprung-Russell diagram are available. Intensity spectra are available for all targets, and the majority of the observations also include simultaneous spectra in circular or linear polarization, with the majority of the polarimetric measurements being performed only in circularly polarized light (Stokes V). Observations are associated with a cross-correlation pseudo-line profile in all available Stokes parameters, greatly increasing the detectability of weak polarized signatures. Stokes V signatures are detected for more than 300 stars of all masses and evolutionary stages, and linear polarization is detected in 35 targets. The detection rate in Stokes V is found to be anti-correlated with the stellar effective temperature. This unique set of Zeeman detections offers the first opportunity to run homogeneous magnetometry studies throughout the H-R diagram. The web interface of PolarBase is available at http://polarbase.irap.omp.eu.
description: Accepted for publication in PASP
Additional file 1 of Risk factors for a positive SARS-CoV-2 PCR in patients with common cold symptoms in a primary care setting – a retrospective analysis based on a joint documentation standard
Creators: name: Just, Johannes
name: Marie-Therese Puth
name: Regenold, Felix
name: Weckbecker, Klaus
name: Bleckwenn, Markus
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1: Supplementary Table 4: Association between positive COVID-19 PCR and different factors using logistic regression – alternative calculation excluding asymptomatic patients
Total Thue colourings of graphs
Creators: name: Schreyer, Jens
name: Škrabuľáková, Erika
Publisher: name: arXiv
Year: 2013
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C15 (05C55, 05D40)

description: A total colouring of a graph is a colouring of its vertices and edges such that no two adjacent vertices or edges have the same colour and moreover, no edge coloured $c$ has its endvertex coloured $c$ too. A weak total Thue colouring of a graph $G$ is a colouring of its vertices and edges such that the colour sequence of consecutive vertices and edges of every path of $G$ is nonrepetitive. In a total Thue colouring also the induced vertex-colouring and edge-colouring of $G$ are nonrepetitive. The weak total Thue number $π_{T_w}(G)$ of a graph $G$ denotes the minimum number of colours required in every weak total Thue colouring and the minimum number of colours required in every total Thue colouring is called the total Thue number $π_T$. Here we show some upper bounds for both parameters depending on the maximum degree or size of the graph. We also give some lower bounds and some better upper bounds for these graph parameters considering special families of graphs.
Additional file 2 of A comprehensive comparison of four methods for extracting lipids from Arabidopsis tissues
Creators: name: Kehelpannala, Cheka
name: Thusitha W. T. Rupasinghe
name: Hennessy, Thomas
name: Bradley, David
name: Ebert, Berit
name: Roessner, Ute
Publisher: name: figshare
Year: 2020
Subjects: subject: Plant Biology
subject: FOS: Biological sciences

description: Additional file 2. Bar graphs and heat maps showing the differences in extractability of individual lipid classes from flowers, roots, siliques, stems, seedlings and seeds of Arabidopsis.