Miracle-dz/UniFAR-FTUs huggingface dataset:
On a consistent rank estimate in a linear structural model

ABSTRACT The structural linear model is considered that is an errors-in- -variables model where the unobserved variables are i.i. d. In this model we can find linear transformations depending on the parameter, such that the transformed observations using the true parameter are uncorrelated. Then a parameter estimator is defined as a zero point of a consistent correlation estimator. A rank estimation is proposed as a zero point of Kendall’s correlation measure and its consistency is shown. While the Pearson estimate of the covariance delivers the total least squares estimate.
A robust high‐resolution finite volume scheme for the simulation of long waves over complex domains

The propagation, runup and rundown of long surface waves are numerically investigated, initially in one dimension, using a well‐balanced high‐resolution finite volume scheme. A conservative form of the nonlinear shallow water equations with source terms is solved numerically using a high‐resolution Godunov‐type explicit scheme coupled with Roe's approximate Riemann solver. The scheme is also extended to handle two‐dimensional complex domains. The numerical difficulties related to the presence of the topography source terms in the model equations along with the appearance of the wet/dry fronts are properly treated and extended. The resulting numerical model accurately describes breaking waves as bores or hydraulic jumps and conserves volume across flow discontinuities. Numerical results show very good agreement with previously presented analytical or asymptotic solutions as well as with experimental benchmark data. Copyright © 2007 John Wiley & Sons, Ltd.
Estimation of Scale of Fluctuation of Soil Properties Indexes

By summarizing and comparison of methods for evaluating the scale of fluctuation, suitable and convenient method to calculate correlation distance is obtained. The space averaged method is employed to analyze the scale of fluctuation of soil in the vertical direction of Tianjin combining geology data, and regional representative values are obtained, which is of high application value on risk assessment and reliability analysis in geotechnical engineering.
Slit pulsed valve for generation of long‐path‐length supersonic expansions

We describe a valve for production of jet‐cooled species in a pulsed, long‐path‐length (1.2‐cm) supersonic expansion. The valve produces 150–600‐μs‐duration pulses at repetition rates up to 60 Hz from a nozzle with variable slit width, and is suitable for use with corrosive gases and vapors.
Magnetic reconnection during flux conversion in a driven spheromak

During buildup of a spheromak by helicity injection, magnetic reconnection converts toroidal flux into poloidal flux. This physics is explored in the resistive magnetohydrodynamic code, NIMROD [C.R. Sovinec, A.H. Glasser, T.A. Gianakon, D.C. Barnes, R.A. Nebel, S.E. Kruger, D.D. Schnack, S.J. Plimpton, A. Tarditi, and M.S. Chu, J. Comp. Phys., 195, 355-386 (2004)], which reveals negative current sheets with {lambda} = {mu}{sub 0}j {center_dot} B/B{sup 2}reversed relative to the applied current. The simulated event duration is consistent with magnetic diffusion on the sheet thickness and is accompanied by cathode voltage spikes and poloidal field increases similar to those seen in the Sustained Spheromak Physics Experiment, SSPX [E. B. Hooper, L. D. Pearlstein, and R. H. Bulmer, Nucl. Fusion 39, 863 (1999)]. All magnetic fieldlines are open during reconnection and their trajectories are very sensitive to their starting points, resulting in chaos. The current sheets are most intense inside the separatrix near the X-point of the mean-field spheromak, suggesting that the reconnection occurs near fieldlines which are closed in the azimuthal average.
A Method for Comparing Two Hierarchical Clusterings

Abstract This article concerns the derivation and use of a measure of similarity between two hierarchical clusterings. The measure, Bk , is derived from the matching matrix, [mij ], formed by cutting the two hierarchical trees and counting the number of matching entries in the k clusters in each tree. The mean and variance of Bk are determined under the assumption that the margins of [mij ] are fixed. Thus, Bk represents a collection of measures for k = 2, …, n – 1. (k, Bk ) plots are found to be useful in portraying the similarity of two clusterings. Bk is compared to other measures of similarity proposed respectively by Baker (1974) and Rand (1971). The use of (k, Bk ) plots for studying clustering methods is explored by a series of Monte Carlo sampling experiments. An example of the use of (k, Bk ) on real data is given.
A Review of Intervention Strategies for Areca Nut Use Cessation

Background: Areca nut (AN) is one of the world’s most widely used drugs, especially in Asia-Pacific, causing dependence and multiple adverse health impacts. The International Agency for Research on Cancer (IARC) has classified it as a type-1 carcinogen. Despite evidence of harms, its use is culturally ingrained in many regions worldwide; harm perception is low; and the availability of intervention strategies is limited. Methods: To identify the range and efficacy of interventional studies on AN use cessation, a narrative review of studies published between 1990 and 2021 was undertaken using selected electronic databases (PubMed, Embase, and Scopus). Results: Three types of interventions were identified: educational, psychological, and pharmacological. Overall, educational interventions significantly enhanced knowledge regarding harms related to AN use. Some psychological interventions reported enhancement of motivation to quit as well as helped in reduction/cessation of AN use. Two pharmacological studies on psychiatric patients with depressive disorders and AN use found that antidepressants helped in reducing/cessation of AN use. Conclusion: Overall, the number of interventional studies on AN cessation is limited, and most studies have measured the short-term effects of the intervention. The role of pharmacotherapeutic interventions needs to be evaluated for AN cessation, and evidence-based psychosocial interventions need to be developed for AN cessation. Furthermore, longitudinal research using adequate sample sizes and longer follow-up durations are needed to establish interventions in this important area.
II.—Non-Associative Algebra and the Symbolism of Genetics

The statistical material of genetics usually consists of frequency distributions—of genes, zygotes and mating couples—from which new distributions referring to their progeny arise. Combination of distributions by random mating is usually symbolised by the mathematical sign for multiplication; but this sign is not taken literally for the simple reason that the genetical laws connecting the distributions of progenitors and progeny are inconsistent with the laws governing multiplication in ordinary algebra. This is explained more fully in § 2.
Digital transformation of professional healthcare practices: fitness seeking across a rugged value landscape

ABSTRACT Digital transformation (DT) is typically described as a strategic, top-down initiative where new digital technologies fundamentally disrupt an organisation’s structure, procedures, and processes to enhance its value proposition. We propose a middle-range theory which highlights that DT of professional practices in healthcare follows a different path. To build this theory, we transpose the metaphor of a “fitness landscape” from evolutionary biology to a professional healthcare context to build an intermediate conceptualisation, which is then refined through an empirical study. Our theory highlights that external events, such as the COVID-19 pandemic, changing patient behaviours or the availability of new digital resources, transform the “value landscape” upon which healthcare professionals create and deliver healthcare services to patients. Empowered by their professional autonomy and driven by their service orientation, healthcare professionals search for new paths and peaks for value creation and delivery across a rugged landscape. As digital resources are leveraged, new value propositions in practice emerge, and professional healthcare practices are digitally transformed.
Recalculating the global warming impact of italian livestock methane emissions with new metrics

Abstract The warming impact of methane (CH4) emissions calculated using the metrics proposed by the Intergovernmental Panel on Climate Change (IPCC), which measure its global warming potential in 100 years (GWP100) expressed as carbon dioxide equivalents (CO2e), accounts for the greatest impact in animal production chains. This work uses the new metrics, proposed to consider the difference between short living climate pollutants (SLCP), such as CH4, and long living climate pollutants (LLCP), such as carbon dioxide (CO2), which measure the warming equivalent (we) effect relative to that of CO2 in a given time frame (GWP*) and expressed as CO2we. The GWP* was applied to CH4 emissions from all Italian livestock supply chains and compared with GWP100 for annual and cumulative assessment from 2010 to 2020 of the impact of this gas on climate change. Using official data published by Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA) from 1990 to 2020, almost all species, except for buffalo (+272.6% of emissions calculated with the new metrics), revealed lower CH4 emissions with the greatest re-dimensioning for non-dairy cattle (-53786 kt of CO2we of calculated with GWP* compared to +66437 kt of CO2e estimated with the GWP100 method). The total cumulative contribution of Italian livestock production to global warming over the past 10 years, including the nitrous oxide (N2O) emissions, has been greatly negative (-48759 kt of CO2we) compared to the data calculated using the GWP100 method (+206091 kt of CO2e). In conclusion, the application of GWP* metric to CH4 emissions of all Italian livestock supply chains allowed to better identify the role of Italian livestock on climate change. Over the 2010–2020 time frame, the Italian animal supply chains reduced the warming impact related to its CH4 emission, with the ruminants (expect buffaloes) being the major contributor to this positive effect. HIGHLIGHTS The application of GWP* metric reduced the warming impact of CH4 emissions of Italian dairy cattle, non-dairy cattle, sheep, goats, poultry and rabbits. The reduction of CH4 emission from the major ruminant species is the major contributor to the positive effect on climate change detected over 2010–2020 time frame. The application of GWP* metric to CH4 emissions of all Italian livestock supply chains allowed to better identify the role of Italian livestock on climate change.
High-Based Funnel Clouds in the Southern Plains

Abstract Photographic evidence is presented of funnel clouds pendant from the bases of convective clouds whose updrafts appear to be rooted well above the boundary layer. These funnel clouds occur in environments supportive of severe convective storms, under dissipating cumulus humilis, cumulus congestus, and low-precipitation cumulonimbus, and on the rear side of supercell and multicell convective storms. Since these funnel clouds do not become tornadoes, spotters should learn to distinguish them from the potentially tornadic funnel clouds that occur under convective clouds that are rooted in the boundary layer.
Image Analysis of Suzaku Observation of Transient Pulsar EXO 2030+375

EXO 2030+375" is a well-known binary system showing periodic outburst. The spectral analysis on the system during the outburst helps us to know more about the origin as well as material present within the system. In this work, we have considered one such outburst data obtained using Suzaku X-Ray mission having very good imaging as well as energy resolution capabilities. Following the stepwise algorithm of the Suzaku analysis guide, we have applied the various computational modules for pre-processing as well as data reduction. After that, we have used the ftools, a specialized computational package for analysis of X-ray data obtained from various X-Ray missions. The data analysis helped us to understand the origin as well as given an insight of the material present within the system.
Large-scale Bayesian spatial modelling of air pollution for policy support

The potential effects of air pollution are a major concern both in terms of the environment and in relation to human health. In order to support environmental policy, there is a need for accurate measurements of the concentrations of pollutants at high geographical resolution over large regions. However, within such regions, there are likely to be areas where the monitoring information will be sparse and so methods are required to accurately predict concentrations. Set within a Bayesian framework, models are developed which exploit the relationships between pollution and geographical covariate information, such as land use, climate and transport variables together with spatial structure. Candidate models are compared based on their ability to predict a set of validation sites. The chosen model is used to perform large-scale prediction of nitrogen dioxide at a 1×1 km resolution for the entire EU. The models allow probabilistic statements to be made with regard to the levels of air pollution that might be experienced in each area. When combined with population data, such information can be invaluable in informing policy by indicating areas for which improvements may be given priority.
Pseudomartingale estimating equations for modulated renewal process models

Summary. We adapt martingale estimating equations based on gap time information to a general intensity model for a single realization of a modulated renewal process. The consistency and asymptotic normality of the estimators is proved under ergodicity conditions. Previous work has considered either parametric likelihood analysis or semiparametric multiplicative models using partial likelihood. The framework is generally applicable to semiparametric and parametric models, including additive and multiplicative specifications, and periodic models. It facilitates a semiparametric extension of a popular parametric earthquake model. Simulations and empirical analyses of Taiwanese earthquake sequences illustrate the methodology's practical utility.
A Short Walk along the Gravimeters Path

The history of gravity measurements begun in 1604 with Galileo Galilei experiments on the acceleration due to the gravity force of the earth, g, along inclined planes. In his memory, the most used unit to measure g is the gal (10−2 m/s2). The paper takes the interested reader through a walk along some of the most important achievements in gravity measurements and gives some perspectives for future developments in terrestrial gravity.
Neural network adaptive compensation control based on the backstepping method for nonlinear systems with time-varying delays

ABSTRACT Control of nonlinear systems with time-varying delays is a common problem, particularly when the time-varying delays are unknown. This paper presents an adaptive compensation control method based on multiple neural networks. Firstly, considering the nonlinear systems with time-varying delays, a neural network method is adopted to approximate the unknown nonlinear structure with time-varying delays. On this basis, a backstepping controller is designed. Considering the unknown time-varying delays, the control effect of the neural network controller based on the backstepping method is not optimal. To deal with the problem, a double-layer adaptive compensator for the neural network is proposed. Furthermore, for the neural network adaptive compensation controller based on the backstepping method, the stability is also proved by a Lyapunov method. Finally, simulation results demonstrate the effectiveness of the scheme, especially when the nonlinear systems have an unknown time-varying delay.
The 0.7 anomaly in one-dimensional hole quantum wires

In this paper we study the anomalous 0.7 structure in high quality ballistic one-dimensional hole systems. Hole systems are of interest because of their large effective mass, strong spin–orbit coupling, as well as having spin 3/2 compared to spin 1/2 for electrons. We observe remarkably clean conductance quantization in a variety of different samples, and a strong feature at ∼0.7 × 2e2/h, which shows a similar temperature and density dependence to the 0.7 feature observed in electron systems. In contrast to the case for electrons, the strong spin–orbit coupling results in an anisotropic Zeeman splitting, which we use to probe the 0.7 feature and the associated zero-bias anomaly. Our results indicate that the 0.7 feature and the zero-bias anomaly are related, and both are suppressed by spin polarization. These results place valuable constraints on models of the microscopic origins of the 0.7 feature.
Numerical Study of Film-Cooling and Aerodynamic Performance of Contoured Cratered Holes

Abstract Film cooling with discrete cratered holes has been proven to be one of the effective ways to increase the cooling effectiveness for flat-plate conditions. Up to now, there has been a lack of relevant research on various discrete cratered holes under cascade conditions. In this paper, the cooling and aerodynamic performances of a reference contoured cratered hole and two optimized contoured cratered holes are studied employing the numerical analysis method. The velocity and temperature fields for the film cooling are obtained by solving the steady-state Reynolds-averaged Navier-Stokes equations with the Shear Stress Transport turbulence closure. The numerical results show that these two optimized holes significantly enhance the cooling performance with an ignorable increment of pressure loss compared to the reference hole. When the cooling hole is placed at the pressure or suction side, the local pressure gradient plays a key role in developing the downstream flow field for either cooling hole. Furthermore, the pressure loss is mainly affected by the blowing ratio and the film cooling hole location. The pressure loss in the hole and its contribution to the total pressure loss increase with the increase of the blowing ratio.
Lipid quantity and composition vary between three European house fly strains

Lipids are an important class of nutrients for insects, as they are the main energy source during metamorphosis and crucial for survival and reproduction. Lipid reserves in insects are mostly accumulated during larval development and can be influenced by environmental factors such as diet and temperature. Genetic factors can also affect larval lipid content and composition. Larvae of the house fly, Musca domestica L. (Diptera: Muscidae), are a valuable emerging resource for the insect feed sector, fueling a growing interest in the factors regulating larval lipid content. We investigated whether strains of three geographical origins vary in ontogeny, quantity, and composition of stored lipids in response to temperature. Italian, Spanish, and Dutch house fly larvae were reared on a similar diet at 25 and 35 °C. Larval dry weight and total lipid content were determined in early‐, mid‐, and late‐third instars by extraction of soluble lipids. The fatty acid composition was analyzed in late‐third instars using an improved extraction and derivatization protocol. We found that strain, larval stage, and temperature affected larval dry weight and absolute and relative lipid content, with significant interaction effects between these three factors. All flies were reared in a common environment, indicating a genetic component to lipid storage. Analysis of lipid composition identified 11 fatty acids, including some rarely reported in the literature. Five fatty acids accounted for 80 and 81% of the total fatty acid methyl esters detected at 25 and 35 °C, respectively. An effect of temperature but not strain was evident on the composition of the fatty acids. The observed differences in lipid content among strains and temperature conditions could be of interest for commercial rearing of the house fly.
The Contact Process on a Finite Set. III: The Critical Case

We show that in σ N is the time that the contact process on {1,…N} first hits the empty set then for λ=λ c , the critical value for the contact process on Z, σ N /N→∞ and σ N /N 4 →0 in probability as N→∞. As a consequence of the result we get bounds on some critical exponents. We also study the analogous problem for bond percolation in {1,…N}×Z and investigate the limit distribution of σ N /Eσ N
Effects of piezoelectricity and spontaneous polarization on localized excitons in self-formed InGaN quantum dots

Exciton states confined in wurtzite InxGa1−xN/GaN strained quantum dots (QDs) are investigated within the framework of effective-mass approximation and variational approach, including three-dimensional confinement of the electrons and holes in QDs and a strong built-in electric field effect due to the piezoelectricity and spontaneous polarization. The relationship between exciton states and structural parameters of QDs is studied in detail. Our results show that the In-rich QDs-like are formed spontaneously due to In compositional fluctuations in the InxGa1−xN layer. The strong built-in electric field in InxGa1−xN/GaN strained QDs gives rise to a marked reduction of the effective band gap of QDs and leads to a remarkable electron–hole spatial separation. This effect has a strong influence on exciton states and optical properties of QDs especially for the QDs with large height (⩾5 nm) along the grown direction of the heterostructures. A good agreement has been obtained between the calculated and measured e.
Studies on scalability and scaling laws for the plasma focus: similarities and differences in devices from 1 MJ to 0.1 J

A comprehensive analysis of scaling laws for plasma focus devices producing neutrons is presented. Similarities and differences in plasma focus devices working with stored energies ranging from 1 MJ to 0.1 J are found. First, a brief review listing the most important results achieved by the Thermonuclear Plasma Department of the Chilean Nuclear Energy Commission, CCHEN, is presented. The aim of the work at CCHEN has been to characterize the physics of dense plasma foci and also to carry out the design and construction of smaller devices—in terms of both input energy and size—capable of providing dense hot plasmas. Certain scaling rules have been found from this research. These rules combined with other scaling laws have been applied to design and construct plasma focus devices with storage energy in a region never explored before (tens of joules and less than 1 J). Thus, a comprehensive analysis also including results from other groups is presented. In particular, all the devices, from the largest to the smallest, maintain the same value of ion density, magnetic field, plasma sheath velocity, Alfvén speed and the quantity of energy per particle. Therefore, fusion reactions are even possible to obtain in ultraminiature devices (driven by generators of 0.1 J for example), as they are in the larger devices (driven by generators of 1 MJ). However, the stability of the plasma pinch highly depends on the size and energy of the device.
TERAHERTZ WAVES HAIRPIN MICROSTRIP BAND-PASS FILTER AND ITS APPLICATION TO OVERLAID DIELECTRIC MATERIAL DETECTION

A novel terahertz (THz) waves band-pass filter with the center frequency of 880 GHz and low insertion loss using microstrip line hairpin resonators is introduced. The properties of this filter are investigated by finite element method (FEM) simulations. The numerical result shows that the filter has a 3 dB bandwidth from 865 GHz to 892 GHz and has 80 GHz bandwidth better than -10 dB. Resonance frequency shifts of the filter covered by dielectric materials of different permittivity and thickness are calculated, which shows that this type of filter is suitable for detecting the properties of overlaid dielectric materials.