bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can participative coach behaviour be perceived as controlling? The role of athletes’ expectations
Authors: Van Meervelt Koen , Van Puyenbroeck Stef , Vande Broek Gert 
Published: August 2022

ABSTRACTCoach‐rated participative behaviour has already been related to beneficial outcomes in athletes. Yet, research also indicates that allowing participation is not straightforward as it can sometimes be perceived as controlling or can even result in maladaptive outcomes. Building on implicit leadership theory, this study investigated the role of the alignment between coach‐rated participation and athletes’ expectations for participation in developing perceptions of domineering coach behaviour in athletes, a specific type of controlling coach behaviour. A secondary goal was to explore this relation in higher and lower level teams separately. Athletes’ expectations for participative coach behaviour, coach‐rated participative behaviour and athletes’ perceptions of domineering coach behaviour were measured in 61 team sport coaches and 654 athletes competing in football, volleyball, basketball, and handball competitions. Using polynomial regression with response surface analysis and controlling for athletes’ sport experience, overall, results showed that a discrepancy between coach‐rated participation and athletes’ expectations for participation was related with increased perceptions of domineering coach behaviour in athletes with more than 5 years of experience. However, in lower level teams, high amounts of participation seem optimal as only less coach‐rated participation than expected predicted increased perceptions of domineering coach behaviour in athletes with more than 15 years of experience. This in contrast with higher level teams where, independent of athletes’ experience, both more and less coach‐rated participation than expected were related with increased perceptions of domineering coach behaviour in athletes. Current findings stress the need for a situation specific approach when offering participation to optimize its effectiveness.
Error bounds for extended source inversion applied to an acoustic transmission inverse problem
Authors: Symes William W 
Published: August 2022

Abstract
A simple inverse problem for the wave equation requires determination of both the wave velocity in a homogenous acoustic material and the transient waveform of an isotropic point radiator, given the time history of the wavefield at a remote point in space. The duration (support) of the source waveform and the source-to-receiver distance are assumed known. A least squares formulation of this problem exhibits the ‘cycle-skipping’ behavior observed in field scale problems of this type, with many local minima differing greatly from the global minimizer. An extended formulation, dropping the support constraint on the source waveform in favor of a weighted quadratic penalty, eliminates this misbehaviour. With proper choice of the weight operator, the velocity component at any local minimizer of this extended objective function differs from the global minimizer of the least-squares formulation by less than a linear combination of the source waveform support radius and data noise-to-signal ratio.
Enhancement of thrust force of an atmospheric pressure positive corona discharge by DC superimposed AC high voltage
Authors: Sohbatzadeh F , Soltani Ahmadi H , Mirzanejhad H 
Published: August 2022

Abstract
The ability of corona discharge as an electrohydrodynamic propulsion system has been considered by many physicists and aerospace researchers. The results show that the most important factor in increasing the thrust force and thrust effectiveness is increasing the momentum transmission frequency in other words reduction of ion mobility that leads to a reduction of the average velocity. By configuring the wire-cylinder in atmospheric conditions, in an experimental study, using a new strategy in generating corona discharge, and without changing the system configuration, the thrust force is increased by increased of exciting species and reducing the ion mobility. DC superimposed AC (AC-DC) voltage source was utilized to achieve higher thrust force efficiency. Results show that the thrust force generated by the AC-DC source is increased by 4–2 times, with the applied voltage range of 10–20 kV compared to the DC source, respectively; while the thrust effectiveness has also been increased. A theory is introduced to calculate the thrust force due to ionic wind generation in the corona discharge regime. Accordingly, a relation is obtained for calculating thrust force and ion mobility using the average vertical ionic wind velocity on the side of the grounded electrode to support experimental results.
Temperature measurement and simulation analysis of heaterless hollow cathode during start-up process
Authors: Han Xing , An Bingjian , Zhang Haiguang , Meng Tianhang , Liu Chenguang , Wang Fufeng , Liu Xiaoyu , Liu Hanlin , Ning Zhongxi 
Published: August 2022

Abstract
Monochromatic radiation thermometry is used to quantify temperature distribution during the start-up process for a heaterless hollow cathode. A transparent cathode is designed to facilitate the transmission of thermally and spontaneously radiated photons from the interior of the structure and their reception by the detection equipment. The relative radiation intensities can be obtained by the developed measurement equipment, which consists of an scientific complementary metal oxide semiconductor camera and a 780 nm narrow-band filter, and then transformed into temperature distributions calibrated by a two-color pyrometer. The current and voltage characteristics of the anode and keeper and plasma image captured by the high-speed camera are used to analyze the thermal evolution mechanism. A 2D extended fluid model coupling with a thermal model is also developed and used to help clarify the thermal deposition variation at different locations. These results provide further support for the hypothesis that thermal deposition of ions and electrons, thermal conduction, and thermal radiation all affect the rate of change in temperature of various components.
New evaluation of the thermodynamics stability for bcc-Fe
Authors: Liang X , Hou T P , Zhang D , Luo W D , Cheng S , Zheng Y H , Wu K M 
Published: August 2022

Abstract
The thermodynamic properties for bcc-Fe were predicted by combination of the first-principles calculations, the quasiharmonic approximation, the CALPHAD method and the Weiss molecular field theory. The hybrid method considers the effects of the lattice vibration, electron, intrinsic magnetism and external magnetic fields on the thermodynamic properties at finite temperature. Combined with experimental data, the calculated heat capacity without external magnetic fields was used to verify the validity of the hybrid method. Close to the Fermi level the high electronic density of states leads to a significant electronic contribution to free energy. Near the Curie temperature lattice vibrations dominant the Gibbs free energy. The order of the other three excitation contributions to Gibbs free energy from high to low is: intrinsic magnetism > electron > external magnetic fields. The investigation suggests that all the excitation contributions to Gibbs free energy are not negligible which provides a correct direction for tuning the thermodynamic properties for Fe-based alloy.
A low-cost and reliable laser shutter interlock using a software-command interface
Authors: Rogers Joshua P , Murray Andrew J 
Published: August 2022

Abstract
A simple and low-cost laser interlock is presented that operates via software commands issued by an ESP32 microcontroller. The architecture of the device is constructed to ensure the laser output is shut off in the event of either an open circuit on the interlock signal line from the laser enclosure or loss of power to the device. Unintentional exposure to the laser beam is prevented by overruling local controls (such as a keypad), until both the enclosure is re-interlocked and the user actively intervenes. The device presented is designed to close the mechanical shutter of a Spectra-Physics Millennia Pro pump laser while it continues to operate internally. The hardware and coding are versatile enough that only minor edits to the code would be necessary to deploy the device on any instrument that receives software commands via a serial interface.
A self-adaptive multiple-fault diagnosis system for rolling element bearings
Authors: Mishra R K , Choudhary Anurag , Fatima S , Mohanty A R , Panigrahi B K 
Published: August 2022

Abstract
The inevitable simultaneous formation of multiple-faults in bearings generates severe vibrations, causing premature component failure and unnecessary downtime. For accurate diagnosis of multiple-faults, machine learning (ML) models need to be trained with the signature of different multiple-faults, which increases the data acquisition time and expense. This paper proposes a self-adaptive vibration signature-based fault diagnostic method for detecting multiple bearing faults using various single-fault vibration signatures. A time-frequency-based hybrid signal processing technique, which involves discrete wavelet transform and Hilbert transform, was adopted for signal decomposition, followed by the implementation of a sliding window-based feature extraction process. Seven optimized metaheuristic algorithms were used to find the best feature sets, which were further used for the training of three ML models. The results show that the proposed methodology has tremendous potential to detect multiple bearing fault conditions in any possible combination using single-fault data. This will be helpful where accessibility to large amounts of data is limited for multiple-fault diagnosis.
Modeling pyramidal silicon nanopores with effective ion transport
Authors: Xiang Feibin , Dong Ming , Zhang Wenchang , Liang Shengfa , Guan Weihua 
Published: August 2022

Abstract
While the electrical models of the membrane-based solid-state nanopores have been well established, silicon-based pyramidal nanopores cannot apply these models due to two distinctive features. One is its 35.3° half cone angle, which brings additional resistance to the moving ions inside the nanopore. The other is its rectangular entrance, which makes calculating the access conductance challenging. Here, we proposed and validated an effective transport model (ETM) for silicon-based pyramidal nanopores by introducing effective conductivity. The impact of half cone angle can be described equivalently using a reduced diffusion coefficient (effective diffusion coefficient). Because the decrease of diffusion coefficient results in a smaller conductivity, effective conductivity is used for the calculation of bulk conductance in ETM. In the classical model, intrinsic conductivity is used. We used the top-down fabrication method for generating the pyramidal silicon nanopores to test the proposed model. Compared with the large error (≥25% in most cases) when using the classical model, the error of ETM in predicting conductance is less than 15%. We also found that the ETM is applicable when the ratio of excess ion concentration and bulk ion concentration is smaller than 0.2. At last, it is proved that ETM can estimate the tip size of pyramidal silicon nanopore. We believe the ETM would provide an improved method for evaluating the pyramidal silicon nanopores.
CircuitQ: an open-source toolbox for superconducting circuits
Authors: Aumann Philipp , Menke Tim , Oliver William D , Lechner Wolfgang 
Published: August 2022

AbstractWe introduce CircuitQ, an open-source toolbox for the analysis of superconducting circuits implemented in Python. It features the automated construction of a symbolic Hamiltonian of the input circuit and a dynamic numerical representation of the Hamiltonian with a variable basis choice. The software implementation is capable of choosing the basis in a fully automated fashion based on the potential energy landscape. Additional features include the estimation of theT1lifetimes of the circuit states under various noise mechanisms. We review previously established circuit quantization methods and formulate them in a way that facilitates the software implementation. The toolbox is then showcased by applying it to practically relevant qubit circuits and comparing it to specialized circuit solvers. Our circuit quantization is applicable to circuit inputs from a large design space, and the software is open-sourced. We thereby add an important resource for the design of new quantum circuits for quantum information processing applications.
The gauge invariant cosmological Jacobi map from weak lensing at leading order
Authors: Fanizza Giuseppe , Di Dio Enea , Durrer Ruth , Marozzi Giovanni 
Published: August 2022

Abstract
We compute the weak lensing Jacobi map at first order in perturbation theory and show that it is both, gauge invariant and symmetric. Linear perturbations therefore do not induce any rotation. However, vector and tensor perturbations do induce B-modes in the shear. We show that contrary to what is often claimed in the literature, the shear B-mode power spectrum is not fully determined by the rotation power spectrum. Also the E-mode shear power spectrum is not determined by the convergence power spectrum. While this difference is small for scalar perturbations, it becomes very significant for tensor perturbations, i.e. gravitational waves.
Directionality and head-tail recognition in the keV-range with the MIMAC detector by deconvolution of the ionic signal
Authors: Beaufort Cyprien , Guillaudin Olivier , Muraz Jean-François , Sauzet Nadine , Santos Daniel , Babut Richard 
Published: August 2022

AbstractDirectional detection is the only strategy for the unambiguous identification of galactic Dark Matter (DM) even in the presence of an irreducible background such as beyond the neutrino floor. This approach requires measuring the direction of a DM-induced nuclear recoil in the keV-range. To probe such low energies, directional detectors must operate at high gain where 3D track reconstruction can be distorted by the influence of the numerous ions produced in the avalanches. The article describes the interplay between electrons and ions during signal formation in a Micromegas. It introducesSimuMimac, a simulation tool dedicated to high gain detection that agrees with MIMAC measurements. This work proposes an analytical formula to deconvolve the ionic signal induced on the grid from any measurements, with no need for prior norad hocparameter. This deconvolution is experimentally tested and validated, revealing the fine structure of the primary electrons cloud and consequently leading to head-tail recognition in the keV-range. Finally, the article presents how this deconvolution can be used for directionality by reconstructing the spectra of mono-energetic 27 keV and 8 keV neutrons with an angular resolution better than 15°. This novel approach for directionality appears as complementary to the standard one from 3D tracks reconstruction and offers redundancy for improving directional performances at high gain in the keV region.
1Dand 2D Ξ
b
and Λ
b
baryons *
Authors: Yu Guo-Liang , Wang Zhi-Gang , Wang Xiu-Wu 
Published: August 2022

Abstract
Recently, scientists have achieved significant progress in experiments searching for excited

and

baryons such as

,

,

,

,

,

, and

. Motivated by these achievements, we systematically analyze the

and

states of

and

baryons using the method of quantum chromodynamics sum rules. By constructing three types of interpolating currents, we calculate the masses and pole residues of these heavy baryons with different excitation modes:

,

, and

. Subsequently, we decode the inner structures of

,

,

, and

and favor assigning these states as the

baryons with the quantum numbers

and

,

,

, and

, respectively. In addition, the predictions for the masses and pole residues of the other

and

and

baryons in this paper will be useful for studying D-wave bottom baryons in the future.
Studies on tetrafluoropropene-CO2 based gas mixtures for the resistive plate chambers of the ALICE Muon IDentifier
Authors: Ferretti A. , Abbrescia M. , Aielli G. , Alberghi G. , Arena M.C. , Barroso M. , Benussi L. , Bianchi A. , Bianco S. , Boscherini D. , Bruni A. , Camarri P. , Cardarelli R. , Corbetta M. , Di Ciaccio A. , Congedo L. , De Serio M. , Di Stante L. , Dupieux P. , Eysermans J. , Ferrini M. , Gagliardi M. , Galati G. , Gelmi A. , Guida R. , Joly B. , Liberti B. , Mandelli B. , Manen S.P. , Massa L. , Micheletti L. , Passamonti L. , Pastore A. , Pastori E. , Piccolo D. , Pierluigi D. , Polini A. , Proto G. , Pugliese G. , Quaglia L. , Rigoletti G. , Romano M. , Russo A. , Samalan A. , Salvini P. , Santonico R. , Saviano G. , Simone S. , Terlizzi L. , Tytgat M. , Vercellin E. , Verzeroli M. , Zaganidis N. 
Published: August 2022

Abstract
Due to their simplicity and comparatively low cost, Resistive Plate Chambers are gaseous detectors widely used in high-energy and cosmic rays physics when large detection areas are needed. However, the best gaseous mixtures are currently based on tetrafluoroethane, which has the undesirable characteristic of a large Global Warming Potential (GWP) of about 1400 and because of this, it is currently being phased out from industrial use. As a possible replacement, tetrafluoropropene (which has a GWP close to 1) has been taken into account.
Since tetrafluoropropene is more electronegative than tetrafluoroethane, it has to be diluted with gases with a lower attachment coefficient in order to maintain the operating voltage close to 10 kV. One of the main candidates for this role is carbon dioxide. In order to ascertain the feasibility and the performance of tetrafluoropropene-CO2 based mixtures, an R&D program is being carried out in the ALICE collaboration, which employs an array of 72 Bakelite RPCs (Muon Identifier, MID) to identify muons. Different proportions of tetrafluoropropene and CO2, with the addition of small quantities of isobutane and sulphur hexafluoride, have been tested with 50 × 50 cm2 RPC prototypes with 2 mm wide gas gap and 2 mm thick Bakelite electrodes.
In the presentation, results from tests with cosmic rays will be presented, together with data concerning the current drawn by a RPC exposed to the gamma-ray flux of the Gamma Irradiation Facility (GIF) at CERN.
Overview of intelligent technologies for ecosystem bioproductivity management based on neural network algorithms
Authors: Tokarev K E 
Published: August 2022

Abstract
One of the most promising areas of development of the management system of programmable agricultural production and increasing its productivity is currently the use of digital technologies and intelligent decision support systems based on neural network algorithms. Integration with remote monitoring systems of fields will allow you to monitor the condition of crops, make timely decisions on the implementation of appropriate agrotechnical measures, taking into account the specifics of land conservation and increasing the level of resource conservation. The article provides an overview of approaches to ecosystem productivity management using neural network algorithms and information technologies implementing them.
Digital platforms as a tool to form the technological basis of digital agriculture
Authors: Ulez’ko A V , Kurnosova N S , Kurnosov S A 
Published: August 2022

Abstract
The digital transformation of the economy is the next stage in the development of the social production system, characterized by the massive introduction of digital technologies in all spheres of human life. The diversity of digital technologies and the tasks solved by them determine objectively the need to develop certain standards of information interaction between subjects of the digital economy and the use of special tools that implement the integration functions of heterogeneous digital technologies. The digital platforms, which are a set of software and hardware tools for implementation of organizational, managerial, technical and technological solutions, can be considered as a basic tool for the integration of heterogeneous digital technologies, that provide the necessary conditions for the formation of a common information space of information interacting subjects and for the digitalization of these interactions as part of solving applied problems of the digital development of economic systems. The tasks of universal and specialized digital platforms designing and developing are among the priorities in the development of the digital transformation concept of macroeconomic systems, individual industries, spheres of activity and economic subjects.
Phytosanitary management in agricultural crops under irrigation
Authors: Komarov E V , Komarova O P 
Published: August 2022

Abstract
The article presents the results of long-term (1988-2020) entomological studies on the study of entomofauna complexes in irrigated agricultural landscapes. It was found that irrigation has a positive effect on the biodiversity increasing of the entomological component of the agroecosystems biotic components. The data of studying of the agricultural landscapes entomocomplexes species composition are presented. So, in the south-east of the European part of Russia (the Lower Volga region), 1432 insects species were recorded in irrigated agrocenoses, and 1582 species were recorded in natural adjacent biotopes (forest belts, forest belts edges, roadsides, etc.). 982 species were recorded in agrocenoses without irrigation. The paper considers the results of studying the species abundance, the regularities of the dynamics of the insects number under the irrigation conditions of the Lower Volga region. The data on the mesophytic microclimatic parameters formation in irrigated agrocenoses are presented. It is shown that the microclimate is one of the main factors determining the increase in biological diversity of entomocomplexes of irrigated agrocenoses. The species diversity and meso- and hygrophilous insects number also increase due to the appearance of additional microstations in irrigated agrocenoses (irrigation canals, storage ponds, spillways, etc.). The formation of polydominant entomological communities under irrigated conditions, which increase the balance of the agroecosystem, including by optimizing its trophic structure, has been established. On irrigated crops, there are more favorable ratios between pests and useful entomofauna, in connection with which the self-regulating ability of entomofauna complexes is enhanced. At the same time, the pesticide load on irrigated agricultural landscapes is reduced by 40-50%.
Development of an algorithm for spectral analysis of images from UAVs to assess the quality of crop sprouts
Authors: Kuzmin V A , Tokarev K E 
Published: August 2022

Abstract
Within the framework of the concept of precision agriculture, a timely assessment of crop seedlings is necessary for making managerial decisions. Today, in most farms, this assessment is carried out on the basis of a limited number of field observations. In this paper, it is proposed to use unmanned aerial vehicles (UAV) as a data source for assessing seedlings, with the help of which a one-time survey of significant territories is provided. The proposed technology of automated image processing from UAVs allows you to quickly obtain not only a qualitative, but also a quantitative assessment of seedlings. The article considers an algorithm for spectral analysis of images from UAVs to assess the quality of crop sprouts.