cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Is Hedging a Habit? Hedging Ratio Determination of Cotton Producers
Creators: name: Dorfman, Jeffrey H.
name: Pennings, Joost M.E.
name: Garcia, Philip
name: Dorfman, Jeffrey H.
name: Pennings, Joost M.E.
name: Garcia, Philip
Publisher: name: Unknown
Year: 2010
Subjects: subject: Financial Economics
subject: Research Methods/ Statistical Methods
subject: cotton producers
subject: habit
subject: hedge rations
subject: mixture models

description: We examine the role that habit plays when producers determine their hedge ratio. Data were collected from U.S. cotton growers in which they indicated their hedging position in 2001 and 2002 as well as their perceived profitability, land ownership structure, and income. To account for heterogeneity, a generalized mixture regres-sion model is used to identify the influence of the determinants of the hedge ratio. Our results identified two segments. In the smaller segment, consisting of 35% of the producers, habit did not affect the hedge ratio; instead, land ownership and perceived profitability were most influential. In the larger segment, consisting of 65% of the producers, the hedge ratio was solely driven by habit. The results show the important role of habit formation in understanding producers’ employed hedge ratio, confirm the importance of heterogeneity, and strengthen the relation-ship between financial structure and market-risk mitigating behavior.
Zero-temperature Phase Diagram For Strongly-Correlated Nanochains
Creators: name: Luo, Y.
name: Verdozzi, C.
name: Kioussis, N.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Recently there has been a resurgence of intense experimental and theoretical interest on the Kondo physics of nanoscopic and mesoscopic systems due to the possibility of making experiments in extremely small samples. We have carried out exact diagonalization calculations to study the effect of the energy spacing $Δ$ of the conduction band on the ground-state properties of a dense Anderson model nanochain. The calculations reveal for the first time that the energy spacing tunes the interplay between the Kondo and RKKY interactions, giving rise to a zero-temperature $Δ$ versus hybridization phase diagram with regions of prevailing Kondo or RKKY correlations, separated by a {\it free spins} regime. This interplay may be relevant to experimental realizations of small rings or quantum dots with tunable magnetic properties.
description: 8 pages, 3 figures. J. Appl. Phys. (in press)
Study of the existence of supersolutions for nonlocal equations with gradient terms
Creators: name: Barrios, Begoña
name: Del Pezzo, Leandro M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We study the existence of positive supersolutions of nonlocal equations $(-Δ)^s u+ |\nabla u|^q=λf(u)$ in exterior domains where the datum $f$ can be comparade with $u^{p}$ near the origin. We prove that the existence or bounded supersolutions its depend of the values of $p$, $q$ and $s$.
description: 23 pages, 6 figures
THE NEED TO IMPROVE THE ETHNO-PEDAGOGICAL SYSTEM OF PREPARING FUTURE PEDAGOGUES FOR SPIRITUAL EDUCATION ACTIVITIES
Creators: name: Rahmatjonzoda, Ahrorjon
Publisher: name: Zenodo
Year: 2024

description: This article analyzes the improvement of the ethno-pedagogical system of preparing future pedagogues for spiritual education activities, and its necessity today is detailed. The importance of the most advanced and unique ideas and opinions of folk pedagogy, which is one of the spiritual cultures of our people, is explained.
Irreversibility in the short memory approximation
Creators: name: Karlin, Iliya V.
name: Tatarinova, Larisa L.
name: Gorban, Alexander N.
name: Ottinger, Hans Christian
Publisher: name: arXiv
Year: 2003
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Mathematical Physics (math-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A recently introduced systematic approach to derivations of the macroscopic dynamics from the underlying microscopic equations of motions in the short-memory approximation [Gorban et al, Phys. Rev. E, 63, 066124 (2001)] is presented in detail. The essence of this method is a consistent implementation of Ehrenfest's idea of coarse-graining, realized via a matched expansion of both the microscopic and the macroscopic motions. Applications of this method to a derivation of the nonlinear Vlasov-Fokker-Planck equation, diffusion equation and hydrodynamic equations of the fluid with a long-range mean field interaction are presented in full detail. The advantage of the method is illustrated by the computation of the post-Navier-Stokes approximation of the hydrodynamics which is shown to be stable unlike the Burnett hydrodynamics.
description: 32 pages, 2 figures, elsart, Physica A, to appear
Playing Against Hate Speech
Creators: name: Costa, Susana Raquel
name: Tavares, Mirian Nogueira
name: Silva, Bruno Mendes
name: Alves, Paulo Falcão
name: Cerol, Filipa
name: Isca, Beatriz
Publisher: name: Journal of Digital Media & Interaction
Year: 2020

description: This article proposes the study and analysis of the state-of-the-art in video game panorama, focusing on the tendency to use hate speech among young players. The immersion of the player in the symbolic arena of the game, where everything becomes possible, raises questions about the relationship between video games in the virtual world, and the player’s behavior in the physical world. It is shown that anonymity and the creation of communities and game groups can lead to the exclusion of and attacks to minorities; chat communications can facilitate sharing interests and game techniques as well as insults in times of tension between players, leading to imperative reflection on the role of gaming platforms in the control of shared content. Considering the boundless possibilities of video games, this article also reflects on game literacy and on how games have the potential to become powerful learning tools.
description: Journal of Digital Media & Interaction, vol. 3 n.º 6 (2020): Journal of Digital Media & Interaction, Vol.3, No.6
МЕТОДИЧЕСКИЕ ПРИЁМЫ, ИСПОЛЬЗУЕМЫЕ ПРИ ПОСТАНОВКЕ ИНОСТРАННОГО ПРОИЗНОШЕНИЯ
Creators: name: Азамжонова Сарвиноз Шухратовна Студентка 2 курса Узбекского государственного университета мировых языков
Publisher: name: Zenodo
Year: 2024

description: Данная статья посвящена полному описанию французской интонации, т.е. описанию ударения, ритма, методики, длительности и тембра.

Задача - показать методы преподавания, показать экспрессивные возможности французской интонации, связанные с изменением мелодики речевого отрезка. Необходимо отметить, что французская интонация выделяет не отдельные слова, а смысловые группы, т.е. ритмические группы и синтагмы.

Ключевые слова: интонация, фонетика, ритм, тембр, инверсия, тон, ударение, норма
Non-perturbative renormalization of moments of parton distribution functions
Creators: name: Shindler, A.
name: Guagnelli, M.
name: Jansen, K.
name: Palombi, F.
name: Petronzio, R.
name: Wetzorke, I.
Publisher: name: arXiv
Year: 2003
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We compute non-perturbatively the evolution of the twist-2 operators corresponding to the average momentum of non-singlet quark densities. The calculation is based on a finite-size technique, using the Schrödinger Functional, in quenched QCD. We find that a careful choice of the boundary conditions, is essential, for such operators, to render possible the computation. As a by-product we apply the non-perturbatively computed renormalization constants to available data of bare matrix elements between nucleon states.
description: Lattice2003(Matrix); 3 pages, 3 figures. Talk by A.S
ANTITRUST ENFORCEMENT: The States Can Do It, Even If The Feds Won't
Creators: name: Smart, Winston I.
name: Smart, Winston I.
Publisher: name: Unknown
Year: 1990
Subjects: Political Economy

description: The federal government's stance in enforcing antitrust laws during the eighties was relatively benign. Many people, including state officials, criticized the Feds for this attitude. But, they overlook the power of state governments to deal with and prosecute anti-trust misconduct. The record, to date, suggests that with limited exceptions, state governments are not likely to be a major force in antitrust enforcement. Lack of state and federal fund ing, political realities, and the fear of business and investment flight all work against greater state involvement.
Live Face De-Identification in Video
Creators: name: Gafni, Oran
name: Wolf, Lior
name: Taigman, Yaniv
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Graphics (cs.GR)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: We propose a method for face de-identification that enables fully automatic video modification at high frame rates. The goal is to maximally decorrelate the identity, while having the perception (pose, illumination and expression) fixed. We achieve this by a novel feed-forward encoder-decoder network architecture that is conditioned on the high-level representation of a person's facial image. The network is global, in the sense that it does not need to be retrained for a given video or for a given identity, and it creates natural looking image sequences with little distortion in time.
description: ICCV 2019
An Unobserved Components Forecasting Model of Non-Farm Employment for the Nashville MSA
Creators: name: Zietz, Joachim A.
name: Penn, David A.
name: Zietz, Joachim A.
name: Penn, David A.
Publisher: name: Unknown
Year: 2008
Subjects: Labor and Human Capital
Research Methods/ Statistical Methods

description: The study demonstrates how unobserved component modeling, also known as structural time series modeling, can be usefully applied to forecast non-farm employment for the Nash-ville MSA. Short-term out-of-sample forecasts are provided for total employment and its three components: services, construction, and manufacturing. The forecasts are compared to those of a simple vector autoregression. It is shown that the suggested methodology provides very ac-curate short-term forecasts even in the absence of a full set of independent regressors. In addition, it makes it possible to back out long-term trends, which aid the forecaster in making long-term projections of sectoral employment.
Wolf-Rayet galaxies in SDSS-IV MaNGA. I. Catalog construction and sample properties
Creators: name: Liang, Fu-Heng
name: Li, Cheng
name: Li, Niu
name: Yan, Renbin
name: Mo, Houjun
name: Zhang, Wei
name: Machuca, Camilo
name: Roman-Lopes, Alexandre
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Wolf-Rayet (WR) galaxies are a rare population of galaxies that host living high-mass stars during their WR phase (i.e. WR stars) and are thus expected to provide interesting constraints on the stellar Initial Mass Function, massive star formation, stellar evolution models, etc. Spatially resolved spectroscopy should in principle provide a more efficient way of identifying WR galaxies than single-fiber surveys of galactic centers such as SDSS-I & II, as WR stars should be more preferentially found in discs. Using IFU data from the ongoing SDSS-IV MaNGA survey, we have performed a thorough search for WR galaxies. We first identify H II regions in each datacube and carry out full spectral fitting to the stacked spectra. We then visually inspect the residual spectrum of each H II region and identify WR regions that present a significant "blue bump" at 4600-4750 A. The resulting WR catalog includes 267 WR regions of ~500pc (radius) sizes, distributed in 90 galaxies from the current sample of MaNGA (MaNGA Product Launch 7). We find WR regions are exclusively found in galaxies that show bluest colors and highest star formation rates for their mass. Most WR galaxies have late-type morphologies and show relatively large asymmetry in their images, implying that WR regions are more preferentially found in interacting/merging galaxies. We estimate the stellar mass function of WR galaxies and the mass-dependent detection rate. The detection rate of WR galaxies is typically ~2%, with weak dependence on stellar mass. This detection rate is about 40 times higher than previous studies with SDSS single fiber data, and by a factor of 2 lower than the CALIFA-based WR catalog. We make comparisons with SDSS and CALIFA studies, and conclude that different detection rates can be explained mainly by three factors: spatial coverage, spectral signal-to-noise ratio, and redshift ranges of the parent sample.
description: 20 pages, 12 figures, 2 tables; Accepted for publication in ApJ
MOESM1 of Associations between dietary patterns and blood pressure in a sample of Australian adults
Creators: name: Margerison, Claire
name: Riddell, Lynnette
name: McNaughton, Sarah
name: Nowson, Caryl
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Science Policy

description: Additional file 1: Table S1. The 34 food sub-groups used in the analysis. For dietary pattern analysis, all food and drinks were assigned to food groups on the basis of the food grouping system developed by Food Standards Australia New Zealand (FSANZ) which has 20 major food groups. According to similarities in food nutrient profiles, several major food groups were combined or spilt based on key nutrients resulting in 34 sub food groups. This table shows the final 34 food sub groups used in dietary pattern analysis.
Universal Coverings of the Orthogonal Groups
Creators: name: Varlamov, V. V.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 15A66; 15A90; 20645

description: Universal coverings of the orthogonal groups and their extensions are studied in terms of Clifford-Lipschitz groups. An algebraic description of basic discrete symmetries (space inversion $P$, time reversal $T$, charge conjugation $C$ and their combinations $PT$, $CP$, $CT$, $CPT$) is given. Discrete subgroups $\{1, P, T, PT\}$ of orthogonal groups of multidimensional spaces over the fields of real and complex numbers are considered in terms of fundamental automorphisms of Clifford algebras. The fundamental automorphisms form a finite group of order 4. The charge conjugation is represented by a complex conjugation pseudoautomorphism of the Clifford algebra. Such a description allows one to extend the automorphism group. It is shown that an extended automorphism group ($CPT$-group) forms a finite group of order 8. The group structure and isomorphisms between the extended automorphism groups and finite groups are studied in detail. It is proved that there exist 64 different realizations of $CPT$-group. An extension of universal coverings (Clifford-Lipschitz groups) of the orthogonal groups is given in terms of $CPT$-structures which include well-known Shirokov-Dcabrowski $PT$-structures as a particular case. Quotient Clifford-Lipschitz groups and quotient representations are introduced. It is shown that a complete classification of the quotient groups depends on the structure of various subgroups of the extended automorphism group.
description: 87 pages, LaTeX2e
Cydistomyia infirmus Mackerras & Spratt 2008, sp. nov.
Creators: name: Mackerras, I. M.
name: Spratt, D. M.
name: Yeates, D. K.
Publisher: name: Zenodo
Year: 2008
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Tabanidae
Cydistomyia
Cydistomyia infirmus

description: Cydistomyia infirmus Mackerras & Spratt, sp. nov.
(Fig. 42)
 Type material. Holotype female, NSW, Mt Westmacott, nr Waterfalls, Dec., G. Daniels (AM).
 Non-type material examined. NSW: 1♀ Bondo State Forest, 9.ii.1982, P. Haycock (ANIC). VIC: 1♀ Tennyson Ck 5 km NW Buldah, 10-15.i.1982, ANZSES Expedition (GDCB).
 Diagnosis. A medium-size, 13–15 mm brown species like a brown C. pruina with inconspicuous median dark abdominal vitta, wide frons, tear-drop shaped callus with long narrow extension reaching two-thirds length of frons and about half the width of the frons at its base, with a black beard and brown antennal basal plate.
 Female. Head. Eyes (relaxed) black, bare. Frons wide, slightly divergent, index 3.2, with fawn brown tomentum with dense long black hairs; vertex not hollow; vertical triangle inconspicuous; ocellar tubercle shiny, ocelli not visible; callus shiny, brown, tear-drop shaped with long narrow extension to two-thirds length of frons, about half width of frons at base. Subcallus with fawn tomentum, without hairs; parafacials and face with fawn tomentum with dense black hairs; beard predominantly black with scattered white hairs. Antennal scape and pedicel fawn grey with black hairs, pedicel with pronounced anterior prolongation almost reaching dorsal tooth; basal plate brown with gentle basal dorsal angle and small tooth, fine apical swelling ventrally; style dark brown. Palpi fawn with black hairs, longer in basal half, relatively slender.
 Thorax. Scutum and scutellum grey, former pale brown laterally, both with short red brown hairs, longer on posterior margin of scutellum. Pleura fawn grey with predominantly long black hairs with some pale white ones.
 Legs. All brown, femora with long black hairs and tibia and tarsi with short black hairs.
 Wings. Clear, stigma inconspicuous.
 Abdomen. Brown with indistinct median black vitta, narrow pale apical margins on all tergites, with fine white hairs on margins and small patches of white hairs laterally on tergites 1–4; elsewhere hairs black. Venter brown with some scattered black patches especially laterally; with narrow pale apical margins with fine white hairs on all sternites; elsewhere hairs black.
 Distribution. S of Sydney, inland NSW and VIC.
 Etymology. The specific epithet derives from the Latin for weak and refers to the indistinct dark median vitta on the abdomen of this species.
description: Published as part of Mackerras, I. M., Spratt, D. M. & Yeates, D. K., 2008, Revision of the horse fly genera Lissimas and Cydistomyia (Diptera: Tabanidae: Diachlorini) of Australia, pp. 1-80 in Zootaxa 1886 (1) on page 60, DOI: 10.11646/zootaxa.1886.1.1, http://zenodo.org/record/5133810
Efficient near-field to far-field transformations for quasinormal modes of optical cavities and plasmonic resonators
Creators: name: Ren, Juanjuan
name: Franke, Sebastian
name: Knorr, Andreas
name: Richter, Marten
name: Hughes, Stephen
Publisher: name: arXiv
Year: 2019
Subjects: subject: Optics (physics.optics)
subject: Computational Physics (physics.comp-ph)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: We describe an efficient near-field to far-field transformation for optical quasinormal modes, which are the dissipative modes of open cavities and plasmonic resonators with complex eigenfrequencies. As an application of the theory, we show how one can compute the reservoir modes (or regularized quasinormal modes) outside the resonator, which are essential to use in both classical and quantum optics. We subsequently demonstrate how to efficiently compute the quantum optical parameters necessary in the theory of quantized quasinormal modes [Franke et al., Phys. Rev. Lett. 122, 213901 (2019)]. To confirm the accuracy of our technique, we directly compare with a Dyson equation approach currently used in the literature (in regimes where this is possible), and demonstrate several order of magnitude improvement for the calculation run times. We also introduce an efficient pole approximation for computing the quantized quasinormal mode parameters, since they require an integration over a range of frequencies. Using this approach, we show how to compute regularized quasinormal modes and quantum optical parameters for a full 3D metal dimer in under one minute on a standard desktop computer. Our technique is exemplified by studying the quasinormal modes of metal dimers and a hybrid structure consisting of a gold dimer on top of a photonic crystal beam. In the latter example, we show how to compute the quantum optical parameters that describe a pronounced Fano resonance, using structural geometries that cannot practically be solved using a Dyson equation approach. All calculations for the spontaneous emission rates are confirmed with full-dipole calculations in Maxwell's equations and are shown to be in excellent agreement.
Additional file 2 of Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using Mendelian randomization and fatty acid genetic association data from over 114,000 UK Biobank participants
Creators: name: Borges, Maria Carolina
name: Haycock, Philip C.
name: Zheng, Jie
name: Hemani, Gibran
name: Holmes, Michael V.
name: Davey Smith, George
name: Hingorani, Aroon D.
name: Lawlor, Deborah A.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Additional file 2: Supplementary Figures S1–S10.
Coulomb effects in granular materials at not very low temperatures
Creators: name: Efetov, K. B.
name: Tschersich, A.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We consider effects of Coulomb interaction in a granular normal metal at not very low temperatures suppressing weak localization effects. In this limit calculations with the initial electron Hamiltonian are reduced to integrations over a phase variable with an effective action, which can be considered as a bosonization for the granular metal. Conditions of the applicability of the effective action are considered in detail and importance of winding numbers for the phase variables is emphasized. Explicit calculations are carried out for the conductivity and the tunneling density of states in the limits of large $g\gg 1$ and small $g\ll 1$ tunnelling conductances. It is demonstrated for any dimension of the array of the grains that at small $g$ the conductivity and the tunnelling density of states decay with temperature exponentially. At large $g$ the conductivity also decays with decreasing the temparature and its temperature dependence is logarithmic independent of dimensionality and presence of a magnetic field. The tunnelling density of states for $g\gg 1$ is anomalous in any dimension but the anomaly is stronger than logarithmic in low dimensions and is similar to that for disordered systems. The formulae derived are compared with existing experiments. The logarithmic behavior of the conductivity at large $g$ obtained in our model can explain numerous experiments on systems with a granular structure including some high $T_{c}$ materials.
description: 30 pages
Youth Out-Migration from Pennsylvania: The Roles of Government Fragmentation vs. the Beaten Path Effect
Creators: name: Grassmueck, Georg
name: Goetz, Stephan J.
name: Shields, Martin
name: Grassmueck, Georg
name: Goetz, Stephan J.
name: Shields, Martin
Publisher: name: Unknown
Year: 2008
Subjects: Public Economics

description: The authors of a recent Brookings report argue that Pennsylvania’s lackluster economic performance, including a high rate of loss of young residents (age 25-34), is partly due to fragmented local units of government hindering comprehensive and regional approaches to stimulating economic growth. This assertion is based on casual inference rather than rigorous statistical analysis. In the present study we employ a newly-developed measure of state/county government fragmentation in a county-level econometric migration model to test the Brookings assertion formally. After examining and controlling for the complete set of fac-tors identified from previous studies to motivate youth out-migration, we conclude that government fragmentation acts to keep youth in Pennsylvania rather than drive them out. We conclude that calls for consolidating sub-county government units based on young migration are premature and offer a number of explanations for our finding along with policy implications.
Synthesizing the intrinsic FRB population using frbpoppy
Creators: name: Gardenier, D. W.
name: van Leeuwen, J.
name: Connor, L.
name: Petroff, E.
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Fast Radio Bursts (FRBs) are radio transients of an unknown origin. Naturally, we are curious as to their nature. Enough FRBs have been detected for a statistical approach to parts of this challenge to be feasible. To understand the crucial link between detected FRBs and the underlying FRB source classes we perform FRB population synthesis, to determine how the underlying population behaves. The Python package we developed for this synthesis, frbpoppy, is open source and freely available. Our goal is to determine the current best fit FRB population model. Our secondary aim is to provide an easy-to-use tool for simulating and understanding FRB detections. It can compare surveys, or inform us of the intrinsic FRB population. frbpoppy simulates intrinsic FRB populations and the surveys that find them, to produce virtual observed populations. These resulting populations can then be compared with real data, allowing constrains to be placed on underlying physics and selection effects. We are able to replicate real Parkes and ASKAP FRB surveys, in terms of both detection rates and distributions observed. We also show the effect of beam patterns on the observed dispersion measure (DM) distributions. We compare four types of source models. The "Complex" model, featuring a range of luminosities, pulse widths and spectral indices, reproduces current detections best. Using frbpoppy, an open-source FRB population synthesis package, we explain current FRB detections and offer a first glimpse of what the true population must be.
description: 17 pages, 9 figures, accepted for publication in Astronomy & Astrophysics
Structure-based pharmacophore modeling, virtual screening and simulation studies for the identification of potent anticancerous phytochemical lead targeting cyclin-dependent kinase 2
Creators: name: Sharma, Mala
name: Sharma, Neha
name: Muddassir, Mohd
name: Rahman, Qazi Inamur
name: Dwivedi, U. N.
name: Akhtar, Salman
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Cyclin-dependent kinases are of critical importance in directing various cell cycle phases making them as potential tumor targets. Cyclin-dependent kinase 2 (CDK2) in particular plays a significant part during cell cycle events and its imbalance roots out tumorogenic environment. Herein, we built a structure-based pharmacophore model complementing the ATP pocket site of CDK2 with four pharmacophoric features, using a series of structures obtained from cluster analysis during MD simulation assessment. This was followed by its validation and further database screening against Taiwan indigenous plants database (5284 compounds). The screened compounds were subjected toward Lipinski’s rule (RO5) and ADMET filter followed by docking analysis and simulation study. In filtering hits (10 compounds) via molecular docking against CDK2, Schinilenol with −8.1 kcal/mol fetched out as a best lead phytoinhibitor in the presence of standard drug (Dinaciclib). Additionally, pharmacophore mapping analysis also indicated relative fit values of dinaciclib and schinilenol as 2.37 and 2.31, respectively. Optimization, flexibility prediction and the stability of CDK2 in complex with the ligands were also ascertained by means of molecular dynamics for 50 ns, which further proposed schinilenol having better binding stability than dinaciclib with RMSD values ranging from 0.31 to 0.34 nm. Reactivity site, biological activity detection and cardiotoxicity assessment also proposed schinilenol as a better phytolead inhibitor than the existing dinaciclib. Abbreviations: CDK2: Cyclin dependent kinase2; ATP: Adenosine triphosphate; MD: Molecular dynamics, RO5: Rule of five; ADMET: Absorption, distribution, metabolism, and excretion; RMSD: Root mean square deviation; DS: Discovery Studio; SOM: Site of metabolism; RBPM: receptor based pharmacophore model; TIP: Schinilenol; hERG: human Ether-à-go-go - Related Gene Communicated by Ramaswamy H. Sarma
L1-Regularized ICA: A Novel Method for Analysis of Task-related fMRI Data
Creators: name: Endo, Yusuke
name: Takeda, Koujin
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (stat.ML)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (cs.LG)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: We propose a new method of independent component analysis (ICA) in order to extract appropriate features from high-dimensional data. In general, matrix factorization methods including ICA have a problem regarding the interpretability of extracted features. For the improvement of interpretability, it is considered that sparse constraint on a factorized matrix is helpful. With this background, we construct a new ICA method with sparsity. In our method, the L1-regularization term is added to the cost function of ICA, and minimization of the cost function is performed by difference of convex functions algorithm. For the validity of our proposed method, we apply it to synthetic data and real functional magnetic resonance imaging data.
description: 29 pages, 9 figures, 4 tables. Python code is available. Please contact the corresponding author for the code
Additional file 12 of Spatiotemporal mapping of RNA editing in the developing mouse brain using in situ sequencing reveals regional and cell-type-specific regulation
Creators: name: Lundin, Elin
name: Chenglin Wu
name: Widmark, Albin
name: Behm, Mikaela
name: Hjerling-Leffler, Jens
name: Chammiran Daniel
name: Ã–Hman, Marie
name: Nilsson, Mats
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Evolutionary Biology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Figure S4. Correlation of observed editing levels to previously published editing levels. Also shown in Additional file 13.
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation
Creators: name: Sarker, Toqi Tahamid
name: Banda, Juan M.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: With the advent of deep learning for computer vision tasks, the need for accurately labeled data in large volumes is vital for any application. The increasingly available large amounts of solar image data generated by the Solar Dynamic Observatory (SDO) mission make this domain particularly interesting for the development and testing of deep learning systems. The currently available labeled solar data is generated by the SDO mission's Feature Finding Team's (FFT) specialized detection modules. The major drawback of these modules is that detection and labeling is performed with a cadence of every 4 to 12 hours, depending on the module. Since SDO image data products are created every 10 seconds, there is a considerable gap between labeled observations and the continuous data stream. In order to address this shortcoming, we trained a deep regression network to track the movement of two solar phenomena: Active Region and Coronal Hole events. To the best of our knowledge, this is the first attempt of solar event tracking using a deep learning approach. Since it is impossible to fully evaluate the performance of the suggested event tracks with the original data (only partial ground truth is available), we demonstrate with several metrics the effectiveness of our approach. With the purpose of generating continuously labeled solar image data, we present this feasibility analysis showing the great promise of deep regression networks for this task.
description: 8 pages, 5 figures, this has been submitted and accepted for publication at IEEE Big Data 2019 - SABID Workshop
title: The questionable premises underlying the search for cancer driver mutations and cancer susceptibility genes
Creators: name: Baker, Stuart G.
Publisher: name: Organisms. Journal of Biological Sciences
Year: 2017

description: Commentary on: Tokheim CJ et al., 2016, Evaluating the evaluation of cancer driver genes, Proceedings of the National Academy of Sciences, vol. 113, no. 50, pp. 14330-14335 doi: 10.1073/pnas.1616440113.
description: Organisms. Journal of Biological Sciences, V. 1, N. 1 (2017)
Home Rule and the Size of County Government in Pennsylvania
Creators: name: Latzko, David A.
name: Latzko, David A.
Publisher: name: Unknown
Year: 2008
Subjects: Financial Economics

description: The fiscal behavior of county governments in Pennsylvania is constrained by state law. Counties can adopt a home rule charter, allowing the county government to set tax rates higher than the statutory limits. Opponents argue that home rule leads to higher taxes and an expansion of county government so the legislative tax limitations are necessary to restrain its growth. This paper finds that government expenditures are, indeed, higher in those counties which have freed themselves from the tax limitations imposed by the state legislature; however, the removal of such limitations is not associated with significantly higher per capita tax levels.
Problems with Fitting to the Power-Law Distribution
Creators: name: Goldstein, Michel L.
name: Morris, Steven A.
name: Yen, Gary G.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: This short communication uses a simple experiment to show that fitting to a power law distribution by using graphical methods based on linear fit on the log-log scale is biased and inaccurate. It shows that using maximum likelihood estimation (MLE) is far more robust. Finally, it presents a new table for performing the Kolmogorov-Smirnof test for goodness-of-fit tailored to power-law distributions in which the power-law exponent is estimated using MLE. The techniques presented here will advance the application of complex network theory by allowing reliable estimation of power-law models from data and further allowing quantitative assessment of goodness-of-fit of proposed power-law models to empirical data.
description: 4 pages, 1 figure, 2 tables
Self-Similar Extrapolation for the Law of Acoustic Emission Before Failure of Heterogeneous Materials
Creators: name: Moura, A.
name: Yukalov, V. I.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: Acoustic emission before the failure of heterogeneous materials is studied as a function of applied hydrostatic pressure. A formula for the energy release is suggested, which is valid in the whole diapason of pressures, from zero to the critical pressure of rupture. This formula is obtained by employing the extrapolation technique of the self-similar approximation theory. The result is fitted to experiment in order to demonstrate the correct general behaviour of the obtained expression for the energy release.
description: 7 pages, Latex, 2 figures
Additional file 11 of Spatiotemporal mapping of RNA editing in the developing mouse brain using in situ sequencing reveals regional and cell-type-specific regulation
Creators: name: Lundin, Elin
name: Chenglin Wu
name: Widmark, Albin
name: Behm, Mikaela
name: Hjerling-Leffler, Jens
name: Chammiran Daniel
name: Ã–Hman, Marie
name: Nilsson, Mats
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Space Science
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: Cancer
subject: Plant Biology
subject: Computational Biology

description: Figure S3. Replicate correlation. The correlation of ISS reads between the biological replicates from the same developmental stage.
Kernel-Based Ensemble Learning in Python
Creators: name: Guedj, Benjamin
name: Desikan, Bhargav Srinivasa
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Computation (stat.CO)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: We propose a new supervised learning algorithm, for classification and regression problems where two or more preliminary predictors are available. We introduce \texttt{KernelCobra}, a non-linear learning strategy for combining an arbitrary number of initial predictors. \texttt{KernelCobra} builds on the COBRA algorithm introduced by \citet{biau2016cobra}, which combined estimators based on a notion of proximity of predictions on the training data. While the COBRA algorithm used a binary threshold to declare which training data were close and to be used, we generalize this idea by using a kernel to better encapsulate the proximity information. Such a smoothing kernel provides more representative weights to each of the training points which are used to build the aggregate and final predictor, and \texttt{KernelCobra} systematically outperforms the COBRA algorithm. While COBRA is intended for regression, \texttt{KernelCobra} deals with classification and regression. \texttt{KernelCobra} is included as part of the open source Python package \texttt{Pycobra} (0.2.4 and onward), introduced by \citet{guedj2018pycobra}. Numerical experiments assess the performance (in terms of pure prediction and computational complexity) of \texttt{KernelCobra} on real-life and synthetic datasets.
description: 11 pages
On Supertwistors, the Penrose-Ward Transform and N=4 super Yang-Mills Theory
Creators: name: Popov, Alexander D.
name: Saemann, Christian
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: It was recently shown by Witten that B-type open topological string theory with the supertwistor space CP^{3|4} as a target space is equivalent to holomorphic Chern-Simons (hCS) theory on the same space. This hCS theory in turn is equivalent to self-dual N=4 super Yang-Mills (SYM) theory in four dimensions. We review the supertwistor description of self-dual and anti-self-dual N-extended SYM theory as the integrability of super Yang-Mills fields on complex (2|N)-dimensional superplanes and demonstrate the equivalence of this description to Witten's formulation. The equivalence of the field equations of hCS theory on an open subset of CP^{3|N} to the field equations of self-dual N-extended SYM theory in four dimensions is made explicit. Furthermore, we extend the picture to the full N=4 SYM theory and, by using the known supertwistor description of this case, we show that the corresponding constraint equations are (gauge) equivalent to the field equations of hCS theory on a quadric in CP^{3|3}xCP^{3|3}.
description: 48 pages; version to appear in ATMP
Additional file 12: of Spatiotemporal mapping of RNA editing in the developing mouse brain using in situ sequencing reveals regional and cell-type-specific regulation
Creators: name: Lundin, Elin
name: Chenglin Wu
name: Widmark, Albin
name: Behm, Mikaela
name: Hjerling-Leffler, Jens
name: Chammiran Daniel
name: Ã–Hman, Marie
name: Nilsson, Mats
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Evolutionary Biology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Figure S4. Correlation of observed editing levels to previously published editing levels. Also shown in Additional file 13.
The Confining Transition in the Bosonic BMN Matrix Model
Creators: name: Asano, Yuhma
name: Kováčik, Samuel
name: O'Connor, Denjoe
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We study the confining/deconfining phase transition in the mass deformed Yang-Mills matrix model which is obtained by the dimensional reduction of the bosonic sector of the four-dimensional maximally supersymmetric Yang-Mills theory compactified on the three sphere, i.e. the bosonic BMN model. The $1/D$ (with $D$ the number of matrices) expansion suggests that the model may have two closely separated transitions. However, using a second order lattice formulation of the model we find that for the small value of the mass parameter, $μ=2$, those two apparent critical temperatures merge at large $N$, leaving only a single weakly first-order phase transition, in agreement with recent numerical results for $μ=0$ (the bosonic BFSS model).
description: 17 pages and 7 figures; v2: typos fixed, references added, minor editing and comments on double Gaussian approximation
Hole interactions with molecular vibrations on DNA
Creators: name: Omerzu, A.
name: Licer, M.
name: Mertelj, T.
name: Kabanov, V. V.
name: Mihailovic, D.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We report on a study of the interactions between holes and molecular vibrations on dry DNA using photoinduced infrared absorption spectroscopy. Laser photoexcited (PE) holes are found to have a room-temperature lifetime in excess of 1 ms, clearly indicating the presence of localization. However, from a quantitative model analysis of the frequency shifts of vibrational modes caused by the PE holes, we find the holevibrational coupling constant to be relatively small, 0.2. This interaction leads to a change in the conformational energy of 0.015 eV, which is too small to cause selftrapping at room temperature. We conclude that, at least in the dry (A) form, DNA is best understood in terms of a double chain of coupled quantum dots arising from the pseudo-random chain sequence of base pairs, in which Anderson localization prevents the formation of a metallic state.
Efficient Green Emission from Edge States in Graphene Perforated by Nitrogen Plasma Treatment
Creators: name: Kovaleva, N N
name: Chvostova, D
name: Potůček, Z
name: Cho, H D
name: Fu, Xiao
name: Fekete, L
name: Pokorny, J
name: Bryknar, Z
name: Kugel, K I
name: Dejneka, A
name: Kang, T W
name: Panin, Gennady N
name: Kusmartsev, F V
Publisher: name: arXiv
Year: 2019
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Plasma functionalization of graphene is one of the facile ways to tune its doping level without the need for wet chemicals making graphene photoluminescent. Microscopic corrugations in the two-dimensional structure of bilayer CVD graphene having a quasi-free-suspended top layer, such as graphene ripples, nanodomes, and bubbles, may significantly enhance local reactivity leading to etching effects on exposure to plasma. Here, we discovered that bilayer CVD graphene treated with nitrogen plasma exhibits efficient UV-green-red emission, where the excitation at 250 nm leads to photoluminescence with the peaks at 390, 470, and 620 nm, respectively. By using Raman scattering and spectroscopic ellipsometry, we investigated doping effects induced by oxygen or nitrogen plasma on the optical properties of single- and bilayer CVD graphene. The surface morphology of the samples was studied by atomic force microscopy. It is revealed that the top sheet of bilayer graphene becomes perforated after the treatment by nitrogen plasma. Our comprehensive study indicates that the dominant green emission is associated with the edge defect structure of perforated graphene filled with nitrogen. The discovered efficient emission appearing in nitrogen plasma treated perforated graphene may have a significant potential for the development of advanced optoelectronic materials.
description: 15 pages 5 Figures
Secrecy Sum-Rate Maximization for Active IRS-Assisted MIMO-OFDM SWIPT System
Creators: name: Peng, Xingxiang
name: Wu, Peiran
name: Zhao, Junhui
name: Xia, Minghua
Publisher: name: arXiv
Year: 2024
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: The propagation loss of RF signals is a significant issue in simultaneous wireless information and power transfer (SWIPT) systems. Additionally, ensuring information security is crucial due to the broadcasting nature of wireless channels. To address these challenges, we exploit the potential of active intelligent reflecting surface (IRS) in a multiple-input and multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) SWIPT system. The active IRS provides better beamforming gain than the passive IRS, reducing the "double-fading" effect. Moreover, the noise introduced at the active IRS can be used as artificial noise (AN) to jam eavesdroppers. This paper formulates a secrecy sum-rate maximization problem related to precoding matrices, power splitting (PS) ratios, and the IRS matrix. Since the problem is highly non-convex, we propose a block coordinate descent (BCD)-based algorithm to find a sub-optimal solution. Moreover, we develop a heuristic algorithm based on the zero-forcing precoding scheme to reduce computational complexity. Simulation results show that the active IRS achieves a higher secrecy sum rate than the passive and non-IRS systems, especially when the transmit power is low or the direct link is blocked. Moreover, increasing the power budget at the active IRS can significantly improve the secrecy sum rate.
description: 15 pages, 6 figures, 3 tables