bluuebunny/crossref_metadata_2025_split huggingface dataset:
Constraints on the generalized natural inflation after Planck 2018 *
Authors: Zhang Nan , Wu Ya-Bo , Lu Jun-Wang , Sun Chu-Wen , Shou Li-Jie , Xu Hai-Zhou 
Published: August 2020

Abstract
Based on the dynamics of single scalar field slow-roll inflation and the theory of reheating, we investigate the generalized natural inflationary (GNI) model. We introduce constraints on the scalar spectral index ns
and the tensor-to scalar ratio r for the

CDM

model, according to the latest data from Planck 2018 TT, TE, EE+low E+lensing (P18) and BICEP2/Keck 2015 season (BK15), i.e., with

at 68% confidence level (CL), and

at 95% CL. We find that the GNI model is favored by P18 and BK15 in the ranges

and

at 68% CL. In addition, the corresponding predictions of generalized and two-phase reheating are discussed. It follows that the parameter m has significant effect on the model behavior.
Conduction current density profile transformation near the earth’s surface, in connection with atmospheric stratification change
Authors: Panchishkina I N , Petrova G G , Petrov A I , Chkhetiani O G 
Published: August 2020

Abstract
The paper considers physical conditions that influence the formation of vertical profiles of the conduction current density in the surface atmosphere. The proximity of the earth’s surface, which is a source of radioactive emanations and aerosols, determines the significant variability of atmospheric-electrical characteristics in height. The results obtained made it possible to identify the features of the conduction current density vertical profiles transformation with regard to the atmosphere stratification. The study of the weather conditions dynamics at the observation point, as well as the study of the conduction current density profile variability makes it possible to determine the nature of the influence of meteorological parameters on the process of charge transfer and accumulation in the studied layer.
Interlink between lightning activity of hailstorms and their radar characteristics
Authors: Abshaev M T , Abshaev A M , Gekkieva J M , Kh Adzhiev A 
Published: August 2020

Abstract
The time course and the relationship of radar and lightning characteristics of the powerful hail clouds of the North Caucasus are considered. The studies were conducted in 2016-2018 at the automated meteorological radar complex ASU-MRL, which provided simultaneous acquisition and processing of radar data from the MRL-5 and 4-point network of LS-8000 lightning detection sensors, visualization of thunderstorm discharges on the background of the radar reflectivity map, as well as measurement complex of radar and thunderstorm cloud characteristics, including their maximum radar reflectivity Zmax, heights, volumes and water content of clouds at different reflectivity values, frequency of intracloud lightning discharges (VHF), “cloud-to-ground” discharges with positive (LF+) and negative polarity (LF-), current and duration of discharges. An analysis of the results showed that lightning discharges begin in the developing hail clouds of the North Caucasus when their maximum radar reflectivity reaches Zmax ≥ 40 dBZ, the frequency of discharges increases with increasing reflectivity, integral water content and enhancing the process of precipitation formation. The highest thunderstorm activity is noted at Zmax≈ 70-75 dBZ. Most low-frequency discharges of LF- and LF+ types are observed on the windward flank in the zone of intensive precipitation formation, and the majority of high-frequency VHF discharges are on their leeward side. Seeding of hail clouds with glaciogenic reagents with anti-hail rockets also leads to an increase in the frequency of discharges of all types.
Validation of the output of the global atmospheric model on days with the development of dangerous convective phenomena according to aerological sounding with a two-day lead time
Authors: Kh Kagermazov A , Sozaeva L T 
Published: August 2020

Abstract
Data from aerological sounding of weather stations in the North Caucasus (Mineralnye Vody, Divnoye), in days with the development of dangerous convective phenomena, were used to validate predictive data (with two-day advance) of the global atmosphere model GFS NCEP. A high degree of overlap between predicted and actual data is shown based on correlation analysis.
Features of the electric field of the atmosphere in various weather conditions
Authors: Adzhieva A A , Shapovalov V A , Kh Mashukov I , Tumgoeva H A 
Published: August 2020

Abstract
The article presents data on the measured series of electric field strength in the atmospheric surface layer for the period from 2010 to 2019 using the EFM550 electric field strength meter. The comparability of the influence of local (fogs, precipitation, thunderstorms, etc.) and global (cyclonic processes, solar-terrestrial communications, etc.) factors on atmospheric electric field variations is discussed. Global and local variations in the nature and dynamics of field strength for the conditions of the North Caucasus are confirmed. An analysis is made of the frequencies of the occurrence of a range of surface atmospheric electric field values. The obtained method of processing information about the repeating values of the polar atmosphere and the Earth’s atmosphere. For this purpose, a branch has been compared with a number of actual weather observations in the central part of hydrometeorology and environmental monitoring. Federal State Budgetary Institution “North Caucasus Office for Hydrometeorology and Environmental Monitoring” Roshydromet. The features of the influence of various meteorological phenomena on the state of the electric field strength were statistically described and a study was conducted to assess the influence of local phenomena -precipitation, clouds and thunderstorm activity on the change in the value of the electric field of the atmosphere in the area of the city of Nalchik.
Anharmonic effects on phase-space quantum profiles: an exact approach
Authors: Bernardini Alex E , Silva Caio Fernando e 
Published: August 2020

Abstract
Given its well known spectral decomposition profile, the 1-dim harmonic oscillator potential modified by an inverse square (1-dim angular momentum-like) contribution works as an efficient platform for probing classical and quantum information quantifiers in the context of the phase-space Weyl-Wigner formalism. In particular, the phase-space informational content related to the canonical ensemble driven by such a singular oscillator can be quantified in terms of well established analytical structures. Considering that, on one hand, the singular oscillator produce a spectral decomposition profile equivalent to that one of the unmodified harmonic system – in the sense that they result into identical thermodynamic statistics, even for different statistical mixtures – on the other hand, a more complete scrutinization of their phase-space information content can capture some different aspects of the encoded information for the related quantum ensembles. Besides the identification of decoherence effects, the Wigner flow analysis is presumedly useful in identifying stable quantum configurations, according to finite temperature and interaction parameter values. Unexpectedly, our results show that the equivalence between the statistical (quantum) mechanics of the anharmonic singular oscillator and an ordinary harmonic oscillator can also be extended to the phase-space quantum purity quantifier, which is analytically computed and reproduces exactly the same quantum ensemble statistical mixture profile, which does not depend on interaction parameter values.
Dynamics of quantum entanglement in matter field models
Authors: Castaños O. , del Río Lima A. 
Published: August 2020

Abstract
A review of the linear canonical transformations and its unitary representation is presented and its importance in the mathematical generation of a special two photon coherent state of light is demonstrated. The dynamical behaviour of the entanglement of the matter and field sectors of an initial composite system under the action of two effective model Hamiltonians is shown. The quantumness and delocalization properties of the corresponding electromagnetic field sectors are established. Finally for the two-photon process interacting with a two-level system, the violation of the Cauchy-Schwarz inequality is exhibited.
New correlation relations in classical and quantum systems with different numbers of subsystems1
Authors: Doskoch Igor Ya. , Man’ko Margarita A. 
Published: August 2020

Abstract
We present a review of the general approach to the problem of correlations in classical statistics and quantum statistics of systems with different numbers of subsystems and demonstrate the information-entropic relations for systems without subsystems recently obtained for Shannon entropies. We present the example of a single-qudit state corresponding to the N-level atom, consider explicitly the qutrit state, and show that qutrit can be interpreted as a set of several qubits. For each of these qubits, there exist corresponding von Neumann entropies, and constraints for these entropies determine the hidden correlations between the qubits in spite of the fact that the qutrit does not contain any subsystem. These constraints are expressed in terms of nonnegativity of the mutual information introduced, which usually exists only for the states of systems with subsystems. The value of information parameterizes the hidden correlations of artificial qubits in the system. We discuss examples of some qudits.
The Lee model: a tool to study decays
Authors: Giacosa Francesco 
Published: August 2020

Abstract
We describe- in a didactical and detailed way- the so-called Lee model (which shares similarities with the Jaynes-Cummings and Friedrichs models) as a tool to study unstable quantum states/particles. This Lee model is based on Quantum Mechanics (QM) but possesses some of the features of Quantum Field Theory (QFT). The decay process can be studied in great detail and typical QFT quantities such as propagator, one-loop resummation, and Feynman rules can be introduced. Deviations from the exponential decay law as well as the Quantum Zeno effects can be studied within this framework. The survival probability amplitude as a Fourier transform of the energy distribution, the normalization of the latter, and the Breit-Wigner limit can be obtained in a rigorous mathematical approach.
Comments on the Kramer Kramer Man’ko 2 × 2 matrix multiplication
Authors: Horn Martin Erik 
Published: August 2020

Abstract
This article is a complement to a paper by Kramer et al. that proposes a new matrix product, which is like a mixture of the usual and the Hadamard (or Schur) product. This new product is then related to the transformation group in the hyperbolic plane. Actually variations in the definition of internal operations lead to an infinity of products that can be associated with any of the Euclidean, hyperbolic or elliptic geometries in quite different manners. By the way: This article is not a review. The review can be found at the end of the paper.
Multimode Bogoliubov transformation and Husimi’s Q-function
Authors: Huh Joonsuk 
Published: August 2020

Abstract
In this paper, we present numerical schemes for evaluating the matrix elements of Gaussian/non-Gaussian operators in the Fock state basis, which are identified as multivariate Hermite polynomials (MHPs). Using the integral transformation operator to perform the multimode Bogoliubov transformation, Husimi’s Q-functions of Gaussian/non-Gaussian operators are easily derived as the generating functions of MHPs.
A dissertation on General Covariance and its application in particle physics
Authors: Petruzziello Luciano 
Published: August 2020

Abstract
In this paper, we provide a concise overview on the principle of General Covariance, one of the fundamental cornerstones of Einstein’s General Relativity. We retrace all the steps that led to the final settlement of a generally covariant theory of gravitation, dwelling specifically on the significance of the well-known “hole argument”. In addition, we discuss about the importance of General Covariance in connection with some recent claims in literature revolving around particle physics. In particular, we summarize the results associated with the decay of accelerated protons.
Trajectory-based conservation laws for massive spin-zero relativistic quantum particles in 1 + 1 spacetime
Authors: Poirier Bill , Tsai Hung-Ming 
Published: August 2020

Abstract
We present novel aspects of a trajectory-based theory of massive spin-zero relativistic quantum particles. In this approach, the quantum trajectory ensemble is the fundamental entity. It satisfies its own action principle, leading to a dynamical partial differential equation (via the Euler-Lagrange procedure), as well as to conservation laws (via Noether’s theorem). In this paper, we focus on the derivation of the latter. In addition to the usual expected energy and momentum conservation laws, there is also a third law that emerges, associated with the conditions needed to maintain global simultaneity. We also show that the nonrelativistic limits of these conservation laws match those of the earlier, nonrelativistic quantum trajectory theory [J. Chem. Phys. 136, 031102 (2012)].
Parity-time symmetry and asymmetric diffraction of light in four-level triple quantum wells
Authors: Mukherjee Rohit , Konar S 
Published: August 2020

Abstract
In this paper, we investigate two-dimensional parity-time (PT) symmetry and electromagnetically induced grating (EIG) in four-level asymmetric triple quantum wells (QWs). Here, PT-symmetry and EIG are realized by appropriately varying the detuning value of the probe, and the modulation amplitudes of a coupling field and standing wave (SW) pump. By virtue of its PT symmetry, the EIG asymmetrically diffracts the probe beam. The angular switching of the diffracted beam can be achieved either by varying the probe or the coupling and SW pump fields. The intensity distribution of the diffracted beam over higher-order diffraction peaks depends on the interaction length in the QW. For small interaction lengths, most of the energy is distributed close to the central diffraction peak. With an increase in the interaction length, energy is gradually transferred to higher order diffraction peaks.
SICaRiO: short indel call filtering with boosting
Authors: Bhuyan Md Shariful Islam , Pe’er Itsik , Rahman M Sohel 
Published: August 2020

Abstract
Despite impressive improvement in the next-generation sequencing technology, reliable detection of indels is still a difficult endeavour. Recognition of true indels is of prime importance in many applications, such as personalized health care, disease genomics and population genetics. Recently, advanced machine learning techniques have been successfully applied to classification problems with large-scale data. In this paper, we present SICaRiO, a gradient boosting classifier for the reliable detection of true indels, trained with the gold-standard dataset from ‘Genome in a Bottle’ (GIAB) consortium. Our filtering scheme significantly improves the performance of each variant calling pipeline used in GIAB and beyond. SICaRiO uses genomic features that can be computed from publicly available resources, i.e. it does not require sequencing pipeline-specific information (e.g. read depth). This study also sheds lights on prior genomic contexts responsible for the erroneous calling of indels made by sequencing pipelines. We have compared prediction difficulty for three categories of indels over different sequencing pipelines. We have also ranked genomic features according to their predictivity in determining false positives.
PanGPCR: predictions for multiple targets, repurposing and side effects
Authors: Liu Lu-Chi , Ho Ming-Yang , Su Bo-Han , Wang San-Yuan , Hsu Ming-Tsung , Tseng Yufeng J 
Published: August 2020

Abstract

Summary
Drug discovery targeting G protein-coupled receptors (GPCRs), the largest known class of therapeutic targets, is challenging. To facilitate the rapid discovery and development of GPCR drugs, we built a system, PanGPCR, to predict multiple potential GPCR targets and their expression locations in the tissues, side effects and possible repurposing of GPCR drugs. With PanGPCR, the compound of interest is docked to a library of 36 experimentally determined crystal structures comprising of 46 docking sites for human GPCRs, and a ranked list is generated from the docking studies to assess all GPCRs and their binding affinities. Users can determine a given compound’s GPCR targets and its repurposing potential accordingly. Moreover, potential side effects collected from the SIDER (Side-Effect Resource) database and mapped to 45 tissues and organs are provided by linking predicted off-targets and their expressed sequence tag profiles. With PanGPCR, multiple targets, repurposing potential and side effects can be determined by simply uploading a small ligand.

Availability and implementation
PanGPCR is freely accessible at https://gpcrpanel.cmdm.tw/index.html.

Supplementary information
Supplementary data are available at Bioinformatics online.
Inference for treatment effect parameters in potentially misspecified high-dimensional models
Authors: Dukes Oliver , Vansteelandt Stijn 
Published: August 2020

SummaryEliminating the effect of confounding in observational studies typically involves fitting a model for an outcome adjusted for covariates. When, as often, these covariates are high-dimensional, this necessitates the use of sparse estimators, such as the lasso, or other regularization approaches. Naïve use of such estimators yields confidence intervals for the conditional treatment effect parameter that are not uniformly valid. Moreover, as the number of covariates grows with the sample size, correctly specifying a model for the outcome is nontrivial. In this article we deal with both of these concerns simultaneously, obtaining confidence intervals for conditional treatment effects that are uniformly valid, regardless of whether the outcome model is correct. This is done by incorporating an additional model for the treatment selection mechanism. When both models are correctly specified, we can weaken the standard conditions on model sparsity. Our procedure extends to multivariate treatment effect parameters and complex longitudinal settings.
The expanding genetic landscape of hereditary motor neuropathies
Authors: Beijer Danique , Baets Jonathan 
Published: August 2020

AbstractHereditary motor neuropathies are clinically and genetically diverse disorders characterized by length-dependent axonal degeneration of lower motor neurons. Although currently as many as 26 causal genes are known, there is considerable missing heritability compared to other inherited neuropathies such as Charcot-Marie-Tooth disease. Intriguingly, this genetic landscape spans a discrete number of key biological processes within the peripheral nerve. Also, in terms of underlying pathophysiology, hereditary motor neuropathies show striking overlap with several other neuromuscular and neurological disorders. In this review, we provide a current overview of the genetic spectrum of hereditary motor neuropathies highlighting recent reports of novel genes and mutations or recent discoveries in the underlying disease mechanisms. In addition, we link hereditary motor neuropathies with various related disorders by addressing the main affected pathways of disease divided into five major processes: axonal transport, tRNA aminoacylation, RNA metabolism and DNA integrity, ion channels and transporters and endoplasmic reticulum.
Disentangling vulnerability, state and trait features of neurocognitive impairments in depression
Authors: Ang Yuen-Siang , Frontero Nicole , Belleau Emily , Pizzagalli Diego A 
Published: August 2020

AbstractDepression is a debilitating disorder that often starts manifesting in early childhood and peaks in onset during adolescence. Neurocognitive impairments have emerged as clinically important characteristics of depression, but it remains controversial which domains specifically index pre-existing vulnerability, state-related or trait-related markers. Here, we disentangled these effects by analysing the Adolescent Brain Cognitive Development dataset (n = 4626). Using information of participants’ current and past mental disorders, as well as family mental health history, we identified low-risk healthy (n = 2100), high-risk healthy (n = 2023), remitted depressed (n = 401) and currently depressed children (n = 102). Factor analysis of 11 cognitive variables was performed to elucidate latent structure and canonical correlation analyses conducted to probe regional brain volumes reliably associated with the cognitive factors. Bayesian model comparison of various a priori hypotheses differing in how low-risk healthy, high-risk healthy, remitted depressed and currently depressed children performed in various cognitive domains was performed. Factor analysis revealed three domains: language and reasoning, cognitive flexibility and memory recall. Deficits in language and reasoning ability, as well as in volumes of associated regions such as the middle temporal and superior frontal gyrus, represented state- and trait-related markers of depression but not pre-existing vulnerability. In contrast, there was no compelling evidence of impairments in other domains. These findings—although cross-sectional and specific to 9–10-year-old children—might have important clinical implications, suggesting that cognitive dysfunction may not be useful targets of preventive interventions. Depressed patients, even after remission, might also benefit from less commonly used treatments such as cognitive remediation therapy.
“The Food Babe Blogger Is Full of Sh*t”: Gender, Class and Branding the “Expert” Self
Authors: Zimmerman Heidi 
Published: August 2020

Abstract
This article examines the ongoing effort to “take down” Vani Hari’s activism-cum-lifestyle brand, the Food Babe, with particular attention to the viral success of Yvette “SciBabe” d’Entremont’s 2015 Gawker post, “The Food Babe Blogger Is Full of Sh*t.” Popular discourse pits the two babes against each other. However, by examining both babes’ multiplatform branded personas as technologies of self-governance under postfeminist, neoliberal brand culture, I show that the Food Babe/SciBabe case is more than a struggle over “science versus pseudoscience.” This case study illuminates a gendered double bind that is intensifying in the so-called “post-truth” era as obligations to maximize oneself and one’s family come into conflict with longstanding and deeply classed anxieties about feminized media culture.