bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dog ownership, dog walking, and social capital
Authors: Koohsari Mohammad Javad , Yasunaga Akitomo , Shibata Ai , Ishii Kaori , Miyawaki Rina , Araki Kuniko , Nakaya Tomoki , Hanibuchi Tomoya , McCormack Gavin R. , Oka Koichiro 
Published: May 2021

AbstractEvidence for social pathways to health benefits for dog owners appears positive but less well-developed. Our study aimed to estimate the differences in social capital by dog ownership and dog walking status among young-to-middle-aged adults and older adults in Japan. Data from 3606 residents living in Japan were used. Data on social capital, dog ownership, and dog walking were collected by questionnaires. Age-stratified multivariable linear regression models were used to estimate differences in social capital scores by dog ownership and dog walking status. Among young-to-middle-aged adults, the mean of the activities with neighbours score, adjusted for covariates, was significantly higher (p < 0.05) for the dog owner walkers group compared to the non-dog owners group. Among older adults, no significant differences in the marginal means of social capital scores were observed between the three groups of non-dog owners, dog owner non-walkers, and dog owner walkers. While the benefits of social capital for a healthy lifestyle have been well-documented, few means have been identified to intervene in social capital. Building on and expanding the known health benefits of dog ownership and dog walking, this study revealed modest support for the link between dog walking and activities with neighbours among young-to-middle-aged adults, but no meaningful associations were found for older adults. Additionally, no significant link was observed between dog walking and social cohesion among either age group. Future research can further improve the use of dog-based behavioural health interventions for fostering social capital.
Robust analysis of space-, time-, and energy-resolved soft x-ray measurements of magnetically confined fusion plasmas (invited)
Authors: VanMeter P. D. , Delgado-Aparicio L. F. , Reusch L. M. , Den Hartog D. J. 
Published: May 2021

A novel compact multi-energy soft x-ray (ME-SXR) diagnostic based on the PILATUS3 100K x-ray detector has been developed in collaboration between the Princeton Plasma Physics Laboratory and the University of Wisconsin-Madison and tested on the Madison Symmetric Torus (MST) reversed-field pinch. This solid-state photon-counting detector consists of a two-dimensional array of ∼100 000 pixels for which the lower photon absorption cutoff energy can be independently set, allowing it to be configured for a unique combination of simultaneous spatial, spectral, and temporal resolution of ∼1 cm, 100 eV, and 500 Hz, respectively. The diagnostic is highly versatile and can be readily adapted to diverse plasma operating conditions and scientific needs without any required downtime. New results from improved-confinement and quasi-single helicity plasmas in the MST demonstrate how the detector can be applied to study multiple aspects of the evolution of magnetically confined fusion-grade plasmas. These include observing the evolution of thermal emissivity, characterizing the energy of mid-Z excitation lines, extracting the Te profile, and observing the evolution of non-thermal populations. A technique for integrating the ME-SXR diagnostic into an integrated data analysis framework based on Bayesian inference is also presented. This allows ME-SXR measurements to be combined with data for complementary diagnostics in order to simultaneously infer Te and nZ from all available information.
Colony expansions underlie the evolution of army ant mass raiding
Authors: Chandra Vikram , Gal Asaf , Kronauer Daniel J. C. 
Published: May 2021

Significance
Army ants form some of the largest insect societies on the planet and famously forage in mass raids, in which many thousands of ants stream out of the nest in search of live prey. Here we show that this complex collective behavior has evolved from group raiding, which is practiced by relatives of army ants with smaller colonies. Through laboratory experiments, we discovered that group raids and mass raids follow similar organizational principles and that mass raids emerge from group raids when colony size is artificially increased. This suggests that ancient expansions in colony size, rather than changes in individual behavioral rules, led to the evolution of mass raids in the first army ants.
Students’ errors in L1 Spanish grammar from the perspective of formal linguistics
Authors: Bravo Ana 
Published: May 2021

AbstractThis paper studies the role that knowledge about formal linguistics can play in teacher education. In order to do so, this contribution focuses on specific secondary students’ errors and misconceptions when confronted with L1 explicit grammar instruction. Errors are measured with respect to a formal theory of grammar. The rationale for developing this research is that certain aspects of formal theories, such as constituency, recursion, dependency and compositionality function not only are the building blocks of the utterances, but are also needed for speech processing. If this is the case, acquiring them correctly might be helpful for enhancing literacy, since the very same notions are at the core of both the construction and the understanding of any text. As a second issue, the present paper addresses the question of how the absence of such knowledge models the perspective from which students’ errors are evaluated by the teachers. Errors are described following the theories for analyzing errors in mathematics. A side effect of this approach is that the parallelism between errors made in learning mathematics and in learning the grammatical concepts just mentioned allows broadening the perspective from which the latter is approached.
Echinochloa crus-galli (barnyard grass).
Authors: Rojas-Sandoval Julissa , Acevedo-Rodríguez Pedro 
Published: May 2021

Abstract

E. crus-galli is a grass species included in the Global Compendium of Weeds (Randall, 2012) and which is considered one of the world's worst weeds. This species has the capability to reduce crop yields and cause forage crops to fail by removing up to 80% of the available soil nitrogen. E. crus-galli is considered the world's worst weed in rice paddies and has been also listed as a weed in at least other 36 crops throughout tropical and temperate regions of the world (Holm et al., 1991). The high levels of nitrates it accumulates can poison livestock. It also acts as a host for several mosaic virus diseases. E. crus-galli is also considered an environmental weed that has become invasive in natural grasslands, coastal forests and disturbed sites in Asia, Africa, Australia, Europe and America (FAO, 2014; USDA-ARS, 2014).
Incompatibility in quantum parameter estimation
Authors: Belliardo Federico , Giovannetti Vittorio 
Published: May 2021

Abstract
In this paper we introduce a measure of genuine quantum incompatibility in the estimation task of multiple parameters, that has a geometric character and is backed by a clear operational interpretation. This measure is then applied to some simple systems in order to track the effect of a local depolarizing noise on the incompatibility of the estimation task. A semidefinite program is described and used to numerically compute the figure of merit when the analytical tools are not sufficient, among these we include an upper bound computable from the symmetric logarithmic derivatives only. Finally we discuss how to obtain compatible models for a general unitary encoding on a finite-dimensional probe.
Mitigating wall plasma expansion and enhancing x-ray emission by using multilayer gold films as hohlraum material
Authors: Zheng Jinhua , Kuang Longyu , Jiang Shaoen , Zhang Lu , Li Hang , Wang Feng 
Published: May 2021

Abstract
Multilayer film structure is designed for hohlraum used in inertial confinement fusion. It is similar to low density foam material but easier to be fabricated and more flexible to change its equivalent density. Simulations and experiment of laser ablated planar targets reveal that, compared with solid gold, plasma expansion of multilayer gold films is mitigated and the x-ray flux is increased. The laser spot moves inwards and its speed can be controlled by adjusting the gaps between films.
Nonlinearity accelerates the thermalization of the quartic FPUT model with stochastic baths
Authors: Schmid Harald , Succi Sauro , Ruffo Stefano 
Published: May 2021

Abstract
We investigate the equilibration process of the strongly coupled quartic Fermi–Pasta–Ulam–Tsingou model by adding Langevin baths to the ends of the chain. The time evolution of the system is investigated by means of extensive numerical simulations and shown to match the results expected from equilibrium statistical mechanics in the time-asymptotic limit. Upon increasing the nonlinear coupling, the thermalization of the energy spectrum displays an increasing asymmetry in favor of small-scale, high-frequency modes, which relax significantly faster than the large-scale, low-frequency ones. The global equilibration time is found to scale linearly with system size and shown to exhibit a power-law decay with the strength of the nonlinearity and temperature. Nonlinear interaction adds to energy distribution among modes, thus speeding up the thermalization process.
Indication of relative motion intensity of aerodynamic object and meters with different physical nature
Authors: Danilov S N , Moskvitin S P , Panasyuk Yu N , Pudovkin A P , Shatovkin R R , Varepo L G , Nagornova I V 
Published: May 2021

Abstract
The need to track the motion trajectory, of a plane for example, the parameters of a power plant, etc., requires creating meters that operate under conditions of unpredictable changes in coordinates and their derivatives. This task is done by synthesizing tracking meters, which, depending on the situation, can change both the parameters and, possibly, the structure. This is implemented by meters, which can use different combinations of state models. In accordance with the chosen method, an algorithm for indicating the intensity of relative motion-aerodynamic object – measuring system- is obtained. The intensity is indicated by the acceleration magnitude of the aerodynamic object approach to the meter, calculated on the basis of information from meters of various physical nature.
Control systems design: the method of the generalized criterion composition for multi-criteria optimization
Authors: Denisova L A , Meshcheryakov V A , Denisov O V 
Published: May 2021

Abstract
The article deals with optimization issues in design of an automatic control system (ACS). The method of multicriteria optimization is presented, which combines simulation of ACS and optimization procedure based on a genetic algorithm and implemented by the MATLAB / Global Optimization Toolbox. The method of the generalized criterion composition based on the initial particular criteria is also proposed. The use of this generalized criterion makes it possible to reduce the complexity of determining the optimal parameters of the ACS and allows to take into account the constraints when searching for the optimal solution.
Development of a microprocessor system for monitoring the accelerations of moving elements of technological machines
Authors: Yu Orlova E , Yu Shmelev F , Sh Gertsenshteyn I , Trapeznikova O V , Panin Yu N , Lee Minhee 
Published: May 2021

Abstract
During the operation of machines and aggregates, processes, that are difficult to describe in theoretical ways, occur. When studying the mechanism in detail, it is still better to resort to experimental measurements in order to gain a greater understanding of the transients that occur during its operation, movement, and shut down. Such detailed data can be used to improve the properties of the mechanism, the principles of its design, as well as to reduce its dimensions and energy consumption. An acceleration sensor was developed, which will allow to investigate the causes of problems with mechanism precision, occurrence of noise, as well as identify a poor assembly and adjust machine mechanisms.
Determination of the parameters of adjusting the gear broaching machine, according to the measurements of the spur bevel gears
Authors: Safarov D T , Kondrashov A G , Kozin K I 
Published: May 2021

Abstract
The process of adjusting a gear broaching machine is considered, according to the angle of the cone of the depressions and the symmetry of the side profiles of the gear wheel. Standard adjustment methods do not allow measuring the values of the taper angle of the valleys and deviations from the symmetry of the profiles. The article proposes a method for finding the main setting parameters of gear broaching machine, according to the measurement data of spur bevel gears. The measurement method is implemented in the form of a measuring system, including a special control device equipped with inductive probes, and algorithms for processing their readings. The use of the measuring system makes it possible to increase the accuracy of setting up the gear traction machine and to improve the quality of manufacturing of spur bevel gears.
Modeling measurement situation in intelligent information and measurement system to determine thermo-physical properties of materials
Authors: Selivanova Z M , Skomorokhov K V , Belyaev M P , Varepo L G , Nagornova I V 
Published: May 2021

Abstract
Definition of thermo-physical properties in different thermal conductivity ranges of solid materials causes the need to consider numerous affecting factors, to create an information environment and model the measurement situation in the operation of intelligent information and measurement system. The purpose of the study is to reduce the measurement error of thermo-physical properties in materials. This problem is relevant and important in the process of controlling the reference parameters of products at the manufacturers. A theoretical framework for modeling the measurement situation is developed. This includes a conceptual model for the formation of the measurement situation, and a model of the research object domain. A mathematical model of the measurement situation and the methodology of its development is created. The problem of selecting the type of measurement situation in the range of investigated materials in terms of thermal conductivity is solved. The risk calculation algorithm of forming a measurement situation in an intelligent information and measurement system for determining the thermo-physical properties of materials is developed.
The formation of the target function in the design of a small spacecraft for technological purposes
Authors: Taneeva A S 
Published: May 2021

Abstract
The paper deals with the issues of forming and minimizing the target function in the process of creating a small spacecraft for technological purposes. The main difference between such a spacecraft is the need to meet specific requirements for micro-accelerations. These requirements provide favorable conditions for the implementation of gravity-sensitive processes on board a small spacecraft. The constructed objective function allowed us to determine the design appearance of a small spacecraft for technological purposes. The results of the work can be used in the design of small spacecraft.
Diagnostics of rolling bearings using artificial neural networks
Authors: Vinokur A I , Kulikov G B , Suslov M V , Petrov V P , Bykov A l V , Litunov S N , Bezzateeva E G 
Published: May 2021

Abstract
The vibration of bearings No. 60,206 with radial clearance of 0…0.45 mm is investigated. Analysis of the frequency response (FR) of vibration acceleration reveals information frequencies of 6 Hz, 15 Hz, 26 Hz, and 46 Hz, which coincide with the calculated values. The dependence of the vibration acceleration amplitude on the radial clearance for the specified frequencies is determined. The possibility of rolling bearing wear estimation by vibroacoustic diagnostic methods using artificial neural networks is proved. Diagnostic accuracy with the 4:4-3:1 MI network ranges from 75.6% for a radial clearance of 0.15 mm to 100% for a clearance of 0 mm.
Evaluation of computational efficiency by the method of parallelization in a multi-core CPU’s in a large data array
Authors: Alisherov F A , Iskandarov S Q , Khamraeva S I , Nurmetova B B 
Published: May 2021

Abstract
Nowadays, with the rapid growth of data, there is a growing demand for large-scale data processing. This data processing, led to the development of computers. These include the development of computer processors, cores. This article explores the effectiveness of Microsoft framework-based parallel extension for multi-core processors for fast Fourier Transform (FFT) in fast multi-faceted computing paradigms. We have a very large number of threads as a multi-thread paradigm, and the cost of switching between threads is minimal. The global nature of computational and transactional equilibrium and built-in communication models in the parallel FFT algorithm makes it an ideal candidate for multidimensional platforms.
Embed digital watermarks in executable program memory
Authors: Belim S V , Munko S N , Belim S Yu 
Published: May 2021

Abstract
The article proposes a method for embedding digital watermarks into executable program code. A digital watermark is generated in the process RAM. Existing information structures, such as dynamic arrays and objects, are used to accommodate parts of the embedded message. The message embedding program modifies the size of the data structures. The digital watermark is placed in additional memory locations. Two approaches to the placement of digital watermarks are proposed. Arrays are ordered in lexicographic order. Parts of the embedded message are placed in arrays. There are no array names in the executable code. nformation for stegonographic analysis is not available. Arrays for embedding can also be selected in any order. Portions of the digital watermark are written to a dynamic unidirectional list. The unidirectional list is embedded in arrays. Embedding into objects of the same class is carried out using similar methods.
On direct product of algebraic sets over groups II
Authors: Shevlyakov A N 
Published: May 2021

Abstract
We consider systems of group equations of the structure S = S1(X) US2 (Y), where the set of variables X, Y are disjoint. Suppose we know the radicals of the systems Si. However we prove that the radical of the whole system Rad(S) may contain equations which are not derived from equations from Rad(Si).
Method for splitting the feasible region to increase the variability of continuous optimization test problems
Authors: Matrenin P V , Kiryanova N G 
Published: May 2021

Abstract
The solution of optimization problems is essential for the design and control of technical systems. The optimization problem arising in practice has a high dimension, nonlinear criteria, and constraints. There are a lot of continuous optimization tasks for testing and research of optimization algorithms performance. These tasks have a convex range of acceptable values limited to a specified range for each parameter. The problem of generating test multidimensional continuous optimization tasks with nonlinear constraints and splitting the feasible region is considered. A method was proposed for splitting the feasible region by separate domains using the multidimensional grid of forbidden solutions. As a result, the problem acquires properties closer to optimizing technical systems with complex constraints. The method allows creating an unlimited number of test optimization problems, which can be used to research and develop optimization algorithms. The method is simple to implement, and the impact on the computational complexity of tasks is insignificant. Research has been carried out on four widely used continuous single-objective optimization test functions, with the Genetic algorithm and the Particle Swarm Optimization algorithm. It is shown that the proposed method has an influence on the process of solving multidimensional continuous optimization problems by population algorithms and on the dependence of the accuracy of the algorithm on its heuristic coefficients.
Algorithm for determining the conductive low-frequency electromagnetic interference in electrical networks
Authors: Rudi D Y , Gorelov S V , Khatsevskiy K V 
Published: May 2021

Abstract
The electric power systems (EES) of various industrial enterprises for a number of reasons are characterized by low quality of electric energy, in particular, the presence of higher harmonics in the networks, as a result of which conductive low-frequency electromagnetic interference (EMF) occurs. This leads to the problem of the quality of electric energy in the EPS, which negatively affects the electrical equipment. The problem is vast and the question of solving various problems, one of which is the determination of conductive low-frequency electromagnetic fields by the coefficient of the nth harmonic component of the voltage, is not solved. Development of an algorithm for determining the conductive low-frequency EMF by the coefficient of the nth harmonic component of the voltage. This algorithm allows scientifically sound assessment of the electromagnetic environment in electrical networks. Creating a sequence of decisions to determine the quality criterion for the functioning of electric power systems by the coefficient of the nth harmonic component of the voltage. Based on the theory of probability and mathematical statistics, an algorithm has been developed for determining the conductive low-frequency electromagnetic field by the coefficient of the nth harmonic component of the voltage. The developed algorithm is based on the requirements of the international state standard GOST 32144-2013. Using this algorithm, a computer program has been developed that allows the automated calculation of the parameters of the electromagnetic environment (distribution parameters, the probability of their occurrence). Moreover, it makes an automated calculation of such distribution parameters of the values of the coefficient of the nth harmonic component of the voltage as the mean value and standard deviation. Also, the program performs an automated calculation of the probability of the coefficients of the nth harmonic component of the voltage exceeding the normalized values and the probability of the appearance of the conductive low-frequency EMF by the coefficient of the nth harmonic component of the voltage during the calculation period. In turn, it is also able to visualize the data arrays that were obtained in the course of various experimental studies using an oscillogram and a histogram.