cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Creators: name: Lalanne, Clément
name: Garivier, Aurélien
name: Gribonval, Rémi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: The challenge of producing accurate statistics while respecting the privacy of the individuals in a sample is an important area of research. We study minimax lower bounds for classes of differentially private estimators. In particular, we show how to characterize the power of a statistical test under differential privacy in a plug-and-play fashion by solving an appropriate transport problem. With specific coupling constructions, this observation allows us to derive Le Cam-type and Fano-type inequalities not only for regular definitions of differential privacy but also for those based on Renyi divergence. We then proceed to illustrate our results on three simple, fully worked out examples. In particular, we show that the problem class has a huge importance on the provable degradation of utility due to privacy. In certain scenarios, we show that maintaining privacy results in a noticeable reduction in performance only when the level of privacy protection is very high. Conversely, for other problems, even a modest level of privacy protection can lead to a significant decrease in performance. Finally, we demonstrate that the DP-SGLD algorithm, a private convex solver, can be employed for maximum likelihood estimation with a high degree of confidence, as it provides near-optimal results with respect to both the size of the sample and the level of privacy protection. This algorithm is applicable to a broad range of parametric estimation procedures, including exponential families.
Numerical Study of a Many-Body Localized System Coupled to a Bath
Creators: name: Johri, Sonika
name: Nandkishore, Rahul
name: Bhatt, R. N.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We use exact diagonalization to study the breakdown of many-body localization in a strongly disordered and interacting system coupled to a thermalizing environment. We show that the many-body level statistics cross over from Poisson to GOE, and the localized eigenstates thermalize, with the crossover coupling decreasing with the size of the bath in a manner consistent with the hypothesis that an infinitesimally small coupling to a thermodynamic bath should destroy localization of the eigenstates. However, signatures of incomplete localization survive in spectral functions of local operators even when the coupling to the environment is non-zero. These include a discrete spectrum and a gap at zero frequency. Both features are washed out by line broadening as one increases the coupling to the bath.
description: Some corrections made
Data-centric ML pipeline for data drift and data preprocessing
Creators: name: Hongsup Shin
Publisher: name: Zenodo
Year: 2023

description: Main MLOps challenges in hardware verification originate from severe data heterogeneity and frequent data drift both in feature and type spaces. This study proposes using multi-purpose data schema, inferred in a bottom-up fashion, which can be used for data monitoring, type casting, and preprocessing. This approach provides a data ingestion step in an ML pipeline that increases transparency and flexibility in data preprocessing. With the flexibility in data preprocessing, we also demonstrate that data (preprocessing) tuning can further improve model performance, emphasizing the importance of data handling and data quality in building ML products.
Negative Poisson's Ratio in Single-Layer Black Phosphorus
Creators: name: Jiang, Jin-Wu
name: Park, Harold S.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The Poisson's ratio is a fundamental mechanical property that relates the resulting lateral strain to applied axial strain. While this value can theoretically be negative, it is positive for nearly all materials, though negative values have been observed in so-called auxetic structures. However, nearly all auxetic materials are bulk materials whose microstructure has been specifically engineered to generate a negative Poisson's ratio. In the present work, we report using first principles calculations the existence of a negative Poisson's ratio in a single-layer, two-dimensional material, black phosphorus. In contrast to engineered bulk auxetics, this behavior is intrinsic for single layer black phosphorus, and originates from its unique, puckered structure, where the pucker can be regarded as a re-entrant structure that is comprised of two coupled orthogonal hinges. As a result of this atomic structure, a negative Poisson's ratio is observed in the out-of-plane direction under uniaxial deformation in the direction parallel to the pucker, with the Poisson's ratio becoming increasingly negative with both increased tension and compression. The puckered structure also results in highly anisotropic in-plane Poisson's ratios, which are found to be 0.4 in the direction perpendicular and 1.28 in the direction parallel to the pucker.
description: Nature Communications, accepted
Gadgets & Tools for Wikipedia and Wikicommons
Creators: name: Leachman, Siobhan
Publisher: name: Zenodo
Year: 2023
Subjects: Wikipedia
Wikicommons
editing tools
gadgets
user scripts

description: A presentation introducing Wikipedia and Wikimedia Commons editors to the suite of tools, gadgets and user scripts that can be used to improve editing on Wikipedia and Wikimedia Commons.
description: Presented at the Wellington Wikipedia Conference 11- 12 March 2023
Rozha: Supporting and Simplifying Multilingual Natural Language Processing
Creators: name: Goodale, Ian
Publisher: name: Zenodo
Year: 2023
Subjects: nlp
natural language processing
digital humanities

description: My virtual poster presentation for SciPy 2023 on Rozha, a package to simplify and streamline a number of natural language processing processes and methods for a wide variety of languages, empowering users to use NLP on both non-English and English texts. The notebook included in this repo can also be accessed via Google Colab at this link.
Electronic supplemental materials from Aerobic scope falls to nil at Pcrit and anaerobic ATP production increases below Pcrit in the tidepool sculpin, Oligocottus maculosus
Creators: name: Somo, Derek A.
name: Chu, Ken
name: Richards, Jeffrey G.
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: 60114 Systems Biology
subject: FOS: Biological sciences

description: The critical oxygen tension of whole-animal oxygen uptake rate, or Pcrit, has historically been defined as the oxygen partial pressure (Po2) at which aerobic scope falls to zero and further declines in Po2 require substrate-level phosphorylation to meet shortfalls in aerobic ATP production, thereby time-limiting survival. Despite the inclusion of aerobic scope and anaerobic ATP production in the definition, little effort has been made to verify that Pcrit measurements, the vast majority of which are obtained using respirometry in resting animals, actually reflect the predictions of zero aerobic scope and a transition to increasing reliance on anaerobic ATP production. To test these predictions, we compared aerobic scope and levels of whole-body lactate at oxygen partial pressures (Po2s) bracketing Pcrit obtained in resting fish during progressive hypoxia in the tidepool sculpin, Oligocottus maculosus. We found that aerobic scope falls to zero at Pcrit and, in resting fish exposed to Po2s < Pcrit, whole-body lactate accumulated pointing to an increased reliance on anaerobic ATP production. These results support the interpretation of Pcrit as a key oxygen threshold at which aerobic scope falls to nil and, below Pcrit, survival is time-limited based on anaerobic metabolic capacity.
Finite-Volume Electromagnetic Corrections to the Masses of Mesons, Baryons and Nuclei
Creators: name: Davoudi, Zohreh
name: Savage, Martin J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Now that Lattice QCD calculations are beginning to include QED, it is important to better understand how hadronic properties are modified by finite-volume QED effects. They are known to exhibit power-law scaling with volume, in contrast to the exponential behavior of finite-volume strong interaction effects. We use non-relativistic effective field theories describing the low-momentum behavior of hadrons to determine the finite-volume QED corrections to the masses of mesons, baryons and nuclei out to O(1/L^4) in a volume expansion, where L is the spatial extent of the cubic volume. This generalizes the previously determined expansion for mesons, and extends it by two orders in 1/L to include contributions from the charge radius, magnetic moment and polarizabilities of the hadron. We make an observation about direct calculations of the muon g-2 in a finite volume.
description: 16 pages, 11 figures. v2: matches the published version. Eqs. (18) and (19) are updated to include a missing contribution at O(1/L^4). The main results and the conclusion are unchanged
Residual Back Projection With Untrained Neural Networks
Creators: name: Shu, Ziyu
name: Entezari, Alireza
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: Background and Objective: The success of neural networks in a number of image processing tasks has motivated their application in image reconstruction problems in computed tomography (CT). While progress has been made in this area, the lack of stability and theoretical guarantees for accuracy, together with the scarcity of high-quality training data for specific imaging domains pose challenges for many CT applications. In this paper, we present a framework for iterative reconstruction (IR) in CT that leverages the hierarchical structure of neural networks, without the need for training. Our framework incorporates this structural information as a deep image prior (DIP), and uses a novel residual back projection (RBP) connection that forms the basis for our iterations.
 Methods: We propose using an untrained U-net in conjunction with a novel residual back projection to minimize an objective function and achieve high-accuracy reconstruction. In each iteration, the weights of the untrained U-net are optimized, and the output of the U-net in the current iteration is used to update the input of the U-net in the next iteration through the aforementioned RBP connection.
 Results: Experimental results demonstrate that the RBP-DIP framework offers improvements over other state-of-the-art conventional IR methods, as well as pre-trained and untrained models with similar network structures under multiple conditions. These improvements are particularly significant in the few-view, limited-angle, and low-dose imaging configurations.
 Conclusions: Applying to both parallel and fan beam X-ray imaging, our framework shows significant improvement under multiple conditions. Furthermore, the proposed framework requires no training data and can be adjusted on-demand to adapt to different conditions (e.g. noise level, geometry, and imaged object).
Analyzing Quality Criteria in Role-based Identity and Access Management
Creators: name: Kunz, Michael
name: Fuchs, Ludwig
name: Netter, Michael
name: Pernul, Günther
Publisher: name: Universität Regensburg
Year: 2015
Subjects: subject: Identity Management, RBAC, IAM, Roles
subject: 004 Informatik

description: Roles have turned into the de facto standard for access control in enterprise identity management systems. However, as roles evolve over time, companies struggle to develop and maintain a consistent role model. Up to now, the core challenge of measuring the current quality of a role model and selecting criteria for its optimization remains unsolved. In this paper, we conduct a survey of existing role mining techniques and identify quality criteria inherently used by these approaches. This guides organizations during the selection of a role mining technique that matches their company-specific quality references. Moreover, our analysis aims to stimulate the research community to integrate quality metrics in future role mining approaches.
Late evolution of relic gravitational waves in coupled dark energy models
Creators: name: Almazan, Maria Luisa Sosa
name: Izquierdo, German
Publisher: name: arXiv
Year: 2013
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: In this paper we study the late evolution of Relic Gravitational Waves in coupled dark energy models, where dark energy interacts with cold dark matter. Relic Gravitational Waves are second tensorial order perturbations of the Lemaitre-Friedman-Robertson-Walker metric and experiment an evolution ruled by the scale factor of the metric. We and that the amplitude of Relic Gravitational Waves is smaller in coupled dark energy models than in models with non interacting dark energy . We also find that the amplitude of the waves predicted by the models with coupling term proportional to the dark energy density is smaller than those of the models with coupling term proportional to dark matter density.
description: 22 pages, 8 figures, article
Towards Developing State-of-the-Art TTS Synthesisers for 13 Indian Languages with Signal Processing aided Alignments
Creators: name: Prakash, Anusha
name: Umesh, S
name: Murthy, Hema A
Publisher: name: arXiv
Year: 2022
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: End-to-end (E2E) systems synthesise high-quality speech, but this typically requires a large amount of data. As E2E synthesis progressed from Tacotron to FastSpeech2, it became evident that features representing prosody, particularly sub-word durations, are important for error-free synthesis. Variants of FastSpeech use a teacher model or forced alignments for training. This paper uses signal processing cues in tandem with forced alignment to produce accurate phone boundaries for the training data. As a result of better duration modelling, good-quality synthesisers are developed. Evaluations indicate that systems developed using the proposed signal processing-aided approach are better than systems developed using other alignment approaches, especially in low-resource scenarios. Our systems also outperform the existing best TTS systems available for 13 Indian languages.
description: Version 1 uploaded
LPython: Interactive LLVM-based Python Compiler for Modern Architectures
Creators: name: Certik, Ondrej
name: Beckman, Brian
name: Naman Gera
name: Smit Lunagariya
name: Gagandeep Singh
name: Goswami, Rohit
name: Thirumalai Shaktivel
name: Edwards, Dylon
Publisher: name: Zenodo
Year: 2022

description: We are developing a modern open-source Python compiler called LPython
 (https://lpython.org/) that can execute user's code interactively in Jupyter to
 allow exploratory work (much like CPython, MATLAB or Julia) as well as compile
 to binaries with the goal to run user's code on modern architectures such as
 multi-core CPU, GPU, as well as unfamiliar, new architectures like GSI's APU,
 which features programmable compute-in memory. We aim to provide the best
 possible performance for numerical array oriented code. Live demo in a Jupyter
 notebook will be shown. The compiler itself is written in C++ for robustness
 and speed.
 More details at: https://rgoswami.me/posts/scipycon-2022-meta
description: We demonstrate to the community that it is possible to use Python in a modern interactive way and yet have execution speed as fast or faster than other compiled languages such as C++ or Fortran. Python is one of the most used languages today. For performance applications such as High Performance Computing (HPC) or any other kind of numerical computing the standard CPython implementation is often not fast enough and it is difficult to run Python code on GPUs and other accelerators. To address these issues we have developed LPython, a Python compiler that can compile Python code to binaries, work interactively, and run on all platforms. LPython is written in C++ and it has multiple backends to generate code including LLVM [1] and C++. The compiler has been open sourced under BSD license, available at https://github.com/lcompilers/lpython. The Abstract Syntax Tree (AST) and the intermediate Abstract Semantic Representation (ASR) is represented using the ASDL domain-specific language [2], just like CPython's AST. LPython is designed as a library with separate building blocks (parser, AST, ASR, semantic phase, codegen) that are all exposed to the user/developer in a natural way to make it easy to contribute back. LPython is using the same internal representation (ASR) as in LFortran [3], and both the LPython and LFortran frontends are effectively surface languages that share the same middle end and backends, as well as high and low level optimizations. Both LPython and LFortran are part of LCompilers [4]. The speed of LPython comes from high level optimizations at the ASR level, as well as the low level optimizations that LLVM can do. In addition it is remarkably easy to customize back ends.
BICEP2, the curvature perturbation and supersymmetry
Creators: name: Lyth, David H.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The tensor fraction $r\simeq 0.16$ found by BICEP2 corresponds to a Hubble parameter $H\simeq 1.0\times 10^{14}\GeV$ during inflation. This has two implications for the (single-field) slow-roll inflation hypothesis. First, the inflaton perturbation must account for much more than $10\%$ of the curvature perturbation $ζ$, which barring fine-tuning means that it accounts for practically all of it. It follows that a curvaton-like mechanism for generating $ζ$ requires an alternative to slow roll such as k-inflation. Second, accepting slow-roll inflation, the excursion of the inflaton field is at least of order Planck scale. As a result, the flatness of the inflaton presumably requires a shift symmetry. I point out that if such is the case, the resulting potential is likely to have at least approximately the quadratic form suggested in 1983 by Linde, which is known to be compatible with the observed $r$ as well as the observed spectral index $\ns$. The shift symmetry does not require supersymmetry. Also, the big $H$ may rule out a GUT by restoring the symmetry and producing fatal cosmic strings. The absence of a GUT would correspond to the absence of superpartners for the Standard Model particles, which indeed have yet to be found at the LHC. It therefore seems quite possible that the quantum field theory chosen by Nature is not supersymmetric.
Metales traza biodisponibles en el ostion Crassostrea gigas y en biodepositos de la zona de maricultivo de Bahía San Quintín, Baja California /
Creators: name: Pro Garcia, Rene
Publisher: name: Universidad Autónoma de Baja California.
Year: 2022
Subjects: subject: QH545 .W3 P76 1990

description: En este estudio se investigó durante 1989 (febrero-julio) el patrón de comportamiento del nivel Al, Cd, Cu, Mn y Zn bio-disponibles en el tejido otal de ostión Crassostrea gigas de talla comercial (90-136 mm) y en el período de crecimiento (51-99 mm) en la zona ostrícola de bahía San Quintín, Baja California.
Socioeconomics of Urban Travel in the U.S.: Evidence from the 2017 NHTS
Creators: name: Wang, Xize
name: Renne, John L.
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Economics (econ.GN)
subject: FOS: Economics and business

description: Using the 2017 National Household Travel Survey (NHTS), this study analyzes America's urban travel trends compared with earlier nationwide travel surveys, and examines the variations in travel behaviors among a range of socioeconomic groups. The most noticeable trend for the 2017 NHTS is that although private automobiles continue to be the dominant travel mode in American cities, the share of car trips has slightly and steadily decreased since its peak in 2001. In contrast, the share of transit, non-motorized, and taxicab (including ride-hailing) trips has steadily increased. Besides this overall trend, there are important variations in travel behaviors across income, home ownership, ethnicity, gender, age, and life-cycle stages. Although the trends in transit development, shared mobility, e-commerce, and lifestyle changes offer optimism about American cities becoming more multimodal, policymakers should consider these differences in socioeconomic factors and try to provide more equitable access to sustainable mobility across different socioeconomic groups.
Estimating the mass-to-distance ratio for a set of megamaser AGN black holes by employing a general relativistic method
Creators: name: González-Juárez, A.
name: Momennia, M.
name: Villalobos-Ramírez, A.
name: Herrera-Aguilar, A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Context. Motivated by the recent achievements of a full general relativistic method in determining black hole (BH) parameters, we continue to estimate the mass-to-distance ratio of the supermassive BHs hosted at the core of the active galactic nuclei (AGNs) of the megamaser galaxies NGC 1320, NGC 1194, NGC 5495, and Mrk 1029. Aims. Our aim is to study the properties of super massive BHs at the centers of the selected AGNs by using a full general relativistic method that allows us to address the potential detection of relativistic effects within such astrophysical systems. Methods. In order to perform statistical estimations with publicly available observational data, we used a general relativistic model that describes BH rotation curves and further employed a Bayesian fitting method. Results. We estimated the mass-to-distance ratio of the aforementioned BHs, their position and the recessional redshifts of the host galaxies produced by both peculiar motion and cosmological expansion of the Universe. Finally, we calculated the gravitational redshift of the closest maser to the BH for each AGN. This gravitational redshift is a general relativistic effect produced by the gravitational field of the BH properly included in the modelling.
description: 7 pages in latex, 2 figures and 3 tables
Монографија о једном јужномакедонском словенском говору
Creators: name: Радић, Првослав
Publisher: name: Zenodo
Year: 1993
Subjects: Васил Дрвошанов
македонски језик
приказ
дијалектологија

description: Приказ књиге.
description: Приказ књиге: Васил Дрвошанов, Кајларскиот говор, Институт за македонски јазик Крсте Мисирков", Посебни изданија, књига 21, Скопје 1993, стр. 1—174. — Избор радова и предговор Ђурђица Петровић.
An Ultra Low Mass and Small Radius Compact Object in 4U 1746-37?
Creators: name: Li, Zhaosheng
name: Qu, Zhijie
name: Chen, Li
name: Guo, Yanjun
name: Qu, Jinlu
name: Xu, Renxin
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Photospheric radius expansion (PRE) bursts have already been used to constrain the masses and radii of neutron stars. RXTE observed three PRE bursts in 4U 1746-37, all with low touchdown fluxes. We discuss here the possibility of low mass neutron star in 4U 1746-37 because the Eddington luminosity depends on stellar mass. With typical values of hydrogen mass fraction and color correction factor, a Monte-Carlo simulation was applied to constrain the mass and radius of neutron star in 4U 1746-37. 4U 1746-37 has a high inclination angle. Two geometric effects, the reflection of the far side accretion disc and the obscuration of the near side accretion disc have also been included in the mass and radius constraints of 4U 1746-37. If the reflection of the far side accretion disc is accounted, a low mass compact object (mass of $0.41\pm0.14~M_{\odot}$ and radius of $8.73\pm1.54~\rm km$ at 68% confidence) exists in 4U 1746-37. If another effect operated, 4U 1746-37 may contain an ultra low mass and small radius object ($M=0.21\pm0.06~M_{\odot},~R=6.26\pm0.99~\rm km$ at 68% confidence). Combined all possibilities, the mass of 4U 1746-37 is $0.41^{+0.70}_{-0.30}~M_\odot$ at 99.7% confidence. For such low mass NS, it could be reproduced by a self-bound compact star, i.e., quark star or quark-cluster star.
description: accepted by ApJ
The Impact of Coherence Diversity on MIMO Relays
Creators: name: Zhang, Fan
name: Nosratinia, Aria
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: This paper studies MIMO relays with non-identical link coherence times, a frequently occurring condition when, e.g., the nodes in the relay channel do not all have the same mobility, or the scatterers around some nodes have different mobility compared with those around other nodes. Despite its practical relevance, this condition, known as coherence diversity, has not been studied in the relay channel. This paper studies the performance of MIMO relays and proposes efficient transmission strategies under coherence diversity. Since coherence times have a prominent impact on channel training, we do not assume channel state is available to the decoder for free; all channel training resources are accounted for in the calculations. A product superposition technique is employed at the source, which allows a more efficient usage of degrees of freedom when the relay and the destination have different training requirements. Varying configurations of coherence times are studied. The interesting case where the different link coherence intervals are not a multiple of each other, and therefore the coherence intervals do not align, is studied. Relay scheduling is combined with the product superposition to obtain further gains in degrees of freedom. The impact of coherence diversity is further studied in the presence of multiple parallel relays.
Wailord: Parsers and Reproducibility for Quantum Chemistry
Creators: name: Goswami, Rohit
Publisher: name: Zenodo
Year: 2022
Subjects: parsers
computational-chemistry
python
reproducible reports
quantum chemistry

description: Much of the scientific python ecosystem deals with problems at the level when their structure is already present in memory. However, the generation of input files for driving existing codes, as well as the parsing of results is not typically covered in great detail. This presentation bridges the gap between external programs and data-structures, demonstrating via a practical example, the utility of code-generation and parsing expression grammar parsers for reproducible results in quantum chemistry. More details at: https://rgoswami.me/posts/scipycon-2022-meta
description: The concept of a crisis of reproducibility in scientific research needs no introduction. Although there are several tooling approaches on can take to reduce the cognitive load of keeping track of various steps of an analysis pipeline [1], there remains an almost linguistic gap when it comes to interfacing with domain specific tools. We demonstrate the role of parsers in the reproducibility workflow. By focusing on the generation of input files and the structured extraction of output data, we will aim to plug a gap in the generation of reproducible reports, namely, interfacing (via file I/O) with existing software. The file I/O interface justifiably has many detractors, especially on an HPC (high performance computing) cluster, I/O can be a bottleneck. However, when faced with an opaque binary which outputs freeform results, powered by an input file which has little to no structure beyond a 1500 page manual of keyword arguments, the utility of a domain specific parser can pay off immensely. In our quest to translate domain intuition into computational input constraints, we will work in a reduced grammar, an intermediate representation (IR). Such an IR can be generated for multiple program specifications, so extensions to other software is not difficult either. As a concrete realization of an abstract concept, we will discuss Wailord [2], which uses parsimonious [3] and cookiecutter [4] to interface with ORCA [5], a popular free (but not open source) quantum chemistry software suite. Wailord. We will go over how such an input generation and output parser technique allows for catching otherwise hard to track down errors. Taking a step away from the problem of writing single-purpose input files and functionalities, we demonstrate how a series of tasks can be defined, executed, and harvested into a single report, at the cost of giving up control over the folder structure. [1] https://rgoswami.me/posts/pycon-in-2020-meta/ [2] https://wailord.xyz [3] https://github.com/erikrose/parsimonious [4] https://cookiecutter.readthedocs.io/ [5] https://www.kofo.mpg.de/en/research/services/orca
Maintaining Fortran in Python in Perpetuity
Creators: name: Goswami, Rohit
name: Mendonca, Melissa
name: Gommers, Ralf
name: Thirumalai Shaktivel
name: Peterson, Pearu
Publisher: name: Zenodo
Year: 2022
Subjects: f2py
numpy
fortran

description: This talk covers recent advances to the f2py project, including preliminary derived type support, better documentation, and restructured design to enhance new contributor experiences. Additionally, we will discuss the structure and role of interoperability libraries and how modern Fortran intends to harmoniously and symbiotically evolve within the Python ecosystem in the context of Fortran-Lang, the np.distutils deprecation, newer compute devices and the ever changing landscape of high performance programming. More details at: https://rgoswami.me/posts/scipycon-2022-meta
description: Fortran forms the computational bedrock of the scientific community. Despite the prevalence of the pack libraries (LAPACK, PROPACK etc.) within scipy and the fact that f2py has been an integral part of the numpy ecosystem for decades now, it is seldom brought up. In particular, newer, younger programming languages and projects are consistently brought up as possible contenders to the crown of numerical computing within the Scientific Python ecosystem. Being such a foundational project has a unique set of maintainability challenges as well. Hyrum's law rings especially true for f2py, scientific projects, both public and private, depend heavily on every aspect of the exposed API. A boon for scientific programming from the very beginning, f2py has enabled high performance computing without in-depth understanding of either the python-C API or the Fortran language itself. Even as f2py reinvents itself for modern Fortran constructs however, backwards compatibility requirements remain (e.g. scipy lags by two versions). From a brief historical overview of the scientific python ecosystem and interoperability issues we will move through the sustainability efforts through the years. We will cover changes in f2py, both planned and implemented, including the migration towards the Python-C Limited API, the newer argparse front-end, moving away from np.distutils, restructuring and reducing reliance on features implemented by the NumPy-C API, and supporting newer Fortran standards (with derived types being the poster child of missing Modern Fortran features). The talk will also briefly cover the code-generation and fortranobject constructs. The focus is not meant to be the internals so much as a 50-foot view of each constituent part of f2py and its long term viability. Part of the discussion will revolve around synergies with existing projects, both within the scientific Python ecosystem (scipy), and Fortran-Lang (LFortran), and by planning to involve younger developers via GSoC. Lastly, we will discuss how the FOSS community stepped up to support f2py and how we intend to continue to carry modern Fortran as a corner stone of the scientific python ecosystem for many years to come in no small part by providing a common set of interoperability standards in the form of NEPs (NumPy Enhancement Proposals).
On common index divisors and monogenity of of the nonic number field defined by a trinomial $x^9+ax+b$
Creators: name: Yakkou, Hamid Ben
name: Tiebekabe, Pagdame
Publisher: name: arXiv
Year: 2022
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: F.2.2
subject: 11R16, 11R04

description: Let $K $ be a nonic number field generated by a complex root $þ$ of a monic irreducible trinomial $ F(x)= x^9+ax+b \in \Z[x]$, where $ab \neq 0$. Let $i(K)$ be the index of $K$. A rational prime $p$ dividing $ i(K)$ is called a prime common index divisor of $K$. In this paper, for every rational prime $p$, we give necessary and sufficient conditions depending only $a$ and $b$ for which $p$ is a common index divisor of $K$. As application of our results we identify infinite parametric families of non-monogenic nonic numbers fields defined by such trinomials. At the end, some numerical examples illustrating our theoretical results are given.
description: submitted. arXiv admin note: substantial text overlap with arXiv:2203.10413, arXiv:2203.07625, arXiv:2206.14345
Dirac fermion time-Floquet crystal: manipulating Dirac points
Creators: name: Rodriguez-Lopez, Pablo
name: Betouras, Joseph J.
name: Savel'ev, Sergey E.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We demonstrate how to control the spectra and current flow of Dirac electrons in both a graphene sheet and a topological insulator by applying either two linearly polarized laser fields with frequencies $ω$ and $2ω$ or a monochromatic (one-frequency) laser field together with a spatially periodic static potential(graphene/TI superlattice). Using the Floquet theory and the resonance approximation, we show that a Dirac point in the electron spectrum can be split into several Dirac points whose relative location in momentum space can be efficiently manipulated by changing the characteristics of the laser fields. In addition, the laser-field controlled Dirac fermion band structure -- Dirac fermion time-Floquet crystal -- allows the manipulation of the electron currents in graphene and topological insulators. Furthermore, the generation of dc currents of desirable intensity in a chosen direction occurs when applying the bi-harmonic laser field which can provide a straightforward experimental test of the predicted phenomena.
description: 9 pages, 7 figures, version that will appear in Phys. Rev. B
Cultivo intermareal de la agarofita Gracilaria pacifica, Abbott (Rhodophyta, Gigartinales), en la laguna costera Esterode Punta Banda, B. C., México /
Creators: name: Arcos Hernandez, Artemio
Publisher: name: Universidad Autónoma de Baja California.
Year: 2022
Subjects: subject: SH391 .G7 A72 1990

description: Se llevo a cabo un cultivo experimental de Gracilaria pacifica Abbott, dentro de la laguna costera Estero de Punta Banda, B.C, México, en la zona cercana a la boca, utilizando cuerdas en nylon, durante el periodo de abril de 1989 a marzo de 1990.
Emergence of localized magnetic moments near antiferromagnetic quantum criticality
Creators: name: Kim, Ki-Seok
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We revisit an antiferromagnetic quantum phase transition with $\bm{Q} = 2 \bm{k}_{F}$, where $\bm{Q}$ is an ordering wave vector and $\bm{k}_{F}$ is a Fermi momentum. Reformulating the Hertz-Moriya-Millis theory within the strong coupling approach to diagonalize the spin-fermion coupling term and performing the scaling analysis for an effective field theory with quantum corrections in the Eliashberg approximation, we propose a novel interacting fixed point for this antiferromagnetic quantum phase transition, where antiferromagnetic spin fluctuations become locally critical to interact with renormalized electrons. The emergence of local quantum criticality suggests a mechanism of $ω/T$ scaling for antiferromagnetic quantum criticality, generally forbidden in the context of the Hertz-Moriya-Millis theory.
description: Completely rewritten
Quantum Hall Effect and Quantum Point Contact in Bilayer-Patched Epitaxial Graphene
Creators: name: Chua, C. J.
name: Connolly, M. R.
name: Lartsev, A.
name: Yager, T.
name: Lara-Avila, S.
name: Kubatkin, S.
name: Kopylov, S.
name: Fal'ko, V. I.
name: Yakimova, R.
name: Pearce, R.
name: Janssen, T. J. B. M.
name: Tzalenchuk, A. Ya.
name: Smith, C. G.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study an epitaxial graphene monolayer with bilayer inclusions via magnetotransport measurements and scanning gate microscopy at low temperatures. We find that bilayer inclusions can be metallic or insulating depending on the initial and gated carrier density. The metallic bilayers act as equipotential shorts for edge currents, while closely spaced insulating bilayers guide the flow of electrons in the monolayer constriction, which was locally gated using a scanning gate probe.
description: 5 pages, 5 figures
Intensity pseudo-localized phase in the glassy random laser
Creators: name: Niedda, Jacopo
name: Leuzzi, Luca
name: Gradenigo, Giacomo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Evidence of an emergent pseudo-localized phase characterizing the low-temperature replica symmetry breaking phase of the complex disordered models for glassy light is provided in the mode-locked random laser model. A pseudo-localized phase corresponds to a state in which the intensity of light modes is neither equipartited among all modes nor really localized on few of them. Such a hybrid phase has been recently characterized in other models, such as the Discrete Non-Linear Schrödinger equation, just as a finite size effect, while in the low temperature phase of the glassy random laser it seems to be robust in the limit of large size.
description: 21 pages, 6 figures
Distinct magnetic phase transition at the surface of an antiferromagnet
Creators: name: Langridge, Sean
name: Watson, Gavin M.
name: Gibbs, Doon
name: Betouras, Joseph J.
name: Gidopoulos, Nikitas I.
name: Pollmann, Frank
name: Long, Martin W.
name: Vettier, Christian
name: Lander, Gerry H.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: In the majority of magnetic systems the surface is required to order at the same temperature as the bulk. In the present study, we report a distinct and unexpected surface magnetic phase transition, uniquely at a lower temperature than the Néel temperature. Employing grazing incidence X-ray resonant magnetic scattering we have observed the near surface behavior of uranium dioxide. UO$_2$ is a non-collinear, triple-q, antiferromagnet with the U ions on an face-centered-cubic lattice. Theoretical investigations establish that at the surface the energy increase, due to the lost bonds, reduces when the spins near the surface rotate, gradually losing their normal to the surface component. At the surface the lowest-energy spin configuration has a double-q (planar) structure. With increasing temperature, thermal fluctuations saturate the in-plane crystal field anisotropy at the surface, leading to soft excitations that have ferromagnetic $XY$ character and are decoupled from the bulk. The structure factor of a finite two-dimensional $XY$ model, fits the experimental data well for several orders of magnitude of the scattered intensity. Our results support a distinct magnetic transition at the surface in the Kosterlitz-Thouless universality class.
description: 7 pages including Supplemental material, 4 figures
Lexical Complexity Prediction: An Overview
Creators: name: North, Kai
name: Zampieri, Marcos
name: Shardlow, Matthew
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences
subject: A.1

description: The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modelling has been applied to identify complex words in texts and substitute them for simpler alternatives. In this paper, we present an overview of computational approaches to lexical complexity prediction focusing on the work carried out on English data. We survey relevant approaches to this problem which include traditional machine learning classifiers (e.g. SVMs, logistic regression) and deep neural networks as well as a variety of features, such as those inspired by literature in psycholinguistics as well as word frequency, word length, and many others. Furthermore, we introduce readers to past competitions and available datasets created on this topic. Finally, we include brief sections on applications of lexical complexity prediction, such as readability and text simplification, together with related studies on languages other than English.
Distribución espacial y registros circadianos de NO3, NO2, PO4 y SiO2, en el delta del RÍo Colorado /
Creators: name: Hernandez Ayon, Jose Martin
Publisher: name: Universidad Autónoma de Baja California.
Year: 2022
Subjects: subject: GC858 H475 1990

description: Con el propósito de determinar el indice de fertilidad y la variación de los nutrientes, se generaron registros circadianos en un punto fijo y distribuciones espaciales en 17 estaciones para NO3, NO2, PO4 Y SIO2 en el Delta del Río Colorado.
Anomalous dissipation mechanism and Hall quantization limit in polycrystalline graphene grown by chemical vapor deposition
Creators: name: Lafont, F.
name: Ribeiro-Palau, R.
name: Han, Z.
name: Cresti, A.
name: Delvallée, A.
name: Cummings, A. W.
name: Roche, S.
name: Bouchiat, V.
name: Ducourtieux, S.
name: Schopfer, F.
name: Poirier, W.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report on the observation of strong backscattering of charge carriers in the quantum Hall regime of polycrystalline graphene grown by chemical vapor deposition, which alters the accuracy of the Hall resistance quantization. The temperature and magnetic field dependence of the longitudinal conductivity exhibits unexpectedly smooth power law behaviors, which are incompatible with a description in terms of variable range hopping or thermal activation, but rather suggest the existence of extended or poorly localized states at energies between Landau levels. Such states could be caused by the high density of line defects (grain boundaries and wrinkles) that cross the Hall bars, as revealed by structural characterizations. Numerical calculations confirm that quasi-one-dimensional extended non-chiral states can form along such line defects and short-circuit the Hall bar chiral edge states.
description: 9 pages, 10 figures
Positive Lyapunov Exponent in the Hopf Normal Form with Additive Noise
Creators: name: Chemnitz, Dennis
name: Engel, Maximilian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Dynamical Systems (math.DS)
subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 37H15, 37H20

description: We prove the positivity of Lyapunov exponents for the normal form of a Hopf bifurcation, perturbed by additive white noise, under sufficiently strong shear strength. This completes a series of related results for simplified situations which we can exploit by studying suitable limits of the shear and noise parameters. The crucial technical ingredient for making this approach rigorous is a result on the continuity of Lyapunov exponents via Furstenberg Khasminskii formulas.
description: 35 pages
title: International Planning History Society Proceedings, Vol 8 No 1 (1988): 20th Century Urban Planning Experience
title: 20th Century Urban Planning Experience
titleType: AlternativeTitle
Creators: name: International Planning History Society Proceedings
Publisher: name: International Planning History Society Proceedings
Year: 2018

description: Proceedings of the 8th International Planning History Society Conference
Sydney, Australia.
July 15-18, 2004
Conference theme: ‘20th Century Urban Planning Experience’.
Convenor: Robert Freestone.
Combining Physics-Based and Data-Driven Modeling for Pressure Prediction in Well Construction
Creators: name: Erge, Oney
name: Van Oort, Eric
Publisher: name: Zenodo
Year: 2020
Subjects: Deep Learning, Machine Learning, Combining Physics-Based Modeling and Data-Driven Modeling, Hydraulics Modeling, Frictional Pressure Loss Modeling.

description: This poster introduces a novel framework to combine the physics-based and data-driven modeling, aiming to attain the best features of both approaches for well construction. Gaussian processes, neural networks and deep learning models are trained and executed together with a physics model that is directly derived using the first principles. Then the results are combined through a decision-making algorithm, a hidden Markov model. The approach is tested within the scope of wellbore hydraulics on a dataset from an actual drilling operation. The results suggest the proposed approach has a good potential to allow safer, optimized drilling operations.
Impact of Dark Matter Velocity Distributions on Capture Rates in the Sun
Creators: name: Choi, Koun
name: Rott, Carsten
name: Itow, Yoshitaka
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Dark matter could be captured in the Sun and self-annihilate, giving rise to an observable neutrino flux. Indirect searches for dark matter looking for this signal with neutrino telescopes have resulted in tight constraints on the interaction cross-section of dark matter with ordinary matter. We investigate how robust limits are against astro-physical uncertainties. We study the effect of the velocity distribution of dark matter in our Galaxy on capture rates in the Sun. We investigate four sources of uncertainties: orbital speed of the Sun, escape velocity of dark matter from the halo, dark matter velocity distribution functions and existence of a dark disc. We find that even extreme cases currently discussed do not decrease the sensitivity of indirect detection significantly because the capture is achieved over a broad range of the velocity distribution by integration over the velocity distribution. The effect of the uncertainty in the high-velocity tail of dark matter halo is very marginal as the capture process is rather inefficient at this region. The difference in capture rate in the Sun for various scenarios is compared to the expected change in event rates for direct detection. The possibility of co-rotating structure with the Sun can largely boost the signal and hence makes the interpretation of indirect detection conservative compared to direct detection.
description: 20 pages, 8 figures