bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physiological instruments meet mixed methods in Media Accessibility
Authors: Hermosa-Ramírez Irene 
Published: May 2022

Abstract
Mixed methods have an established trajectory in the social sciences. Audiovisual Translation and Media Accessibility (MA) Studies are also increasingly applying the “third research paradigm” (Johnson et al., 2007, 112). Yet, publications in our field often fail to discuss the mixed-method nature of the study in depth, be it because of space limitations or a lack of deliberate integration of the methods. Concurrently, MA has seen a boom in experimental research, as descriptive approaches have given way to reception and user-centred studies that engage in the cognitive processes and immersion of audiences (Orero et al. 2018). This article proposes a methodological basis for MA researchers to design studies employing physiological instruments within a mixed methods framework. The core mixed methods designs (convergent, explanatory, and exploratory) are presented, and examples of their applications to research employing physiological instruments are discussed.
Challenges of constitutional reform, economic transformation and Covid-19 in Botswana
Authors: Makgala Christian John , Malila Ikanyeng Stonto 
Published: May 2022

SUMMARYBotswana’s much-lauded economic boom was accompanied by a disproportionately powerful presidency, poverty, significant economic inequities, elite corruption and rising unemployment. Mokgweetsi Masisi succeeded Ian Khama as president of the long-ruling Botswana Democratic Party (BDP) in 2018. He won the 2019 election on a platform of constitutional reform and economic transformation, but the rift between Masisi and Khama appeared to dissuade Masisi from pursuing the much-touted constitutional reform. Masisi needed the ‘blank cheque constitution’ to deploy the state apparatus in his personal war of attrition with the fearsome Khama. During the Covid-19 outbreak, however, civil society put pressure on Masisi to go beyond idle customary rhetoric and make a commitment to constitutional reform.
Genetic Analysis of Suicide: A Sample Study in Tuscany (Central Italy)
Authors: Focardi Martina , Gualco Barbara , Pinchi Vilma , Gian-Aristide Norelli , Rensi Regina , Pelo Elisabetta , Carboni Ilaria , Ricci Ugo 
Published: May 2022

AbstractMany studies have examined the genetic contribution to suicide. However, data on suicide in the Italian population are scarce. We therefore aimed to address this gap by investigating a cohort of 111 Italians for whom a verdict of suicide had been declared in court in Florence, Italy between 2007 and 2017. This cohort included 86 men and 25 women. DNA samples were obtained from tissues or blood, and 22 genes from multiple neurobiological pathways previously shown to be associated with the pathogenesis of suicide were analysed. Next-generation sequencing was used to compare these gene sequences with those from a large, normal population. In this study, we identified 19 gene variants that were present at significantly lower frequencies in our Italian cohort than in the general population. In addition, four missense mutations were identified in four different genes: Monoamine Oxidase A (MAOA), 5-Hydroxytryptamine Receptor 2 A (HTR2A), Sodium Voltage-Gated Channel Alpha Subunit 8 (SCN8A), and Nitric Oxide Synthase 3 (NOS3). Our study identified several potential genetic links with suicide in a cohort of Italians and supports a relationship between specific genetic variants and suicidal behaviour in this population. Key PointsThis study shows a genetic analysis of suicide.This study examines a cohort of 111 Italians for whom a verdict of suicide had been declared in court in Florence, Italy between 2007 and 2017. DNA samples were obtained from tissues or blood, and 22 genes from multiple neurobiological pathways were investigated.The study supports a relationship between specific genetic variants and suicidal behaviour.
Flexible beamforming using transmission-type coding metasurface
Authors: Yang Jianfeng , Chen Juan , Quan Lei , Chen Xiaoming , Shi Hongyu , Liu Yajun , Xue Wei 
Published: May 2022

Abstract
The emergence and rapid development of metasurfaces have paved the way towards arbitrarily manipulating electromagnetic (EM) waves through amplitude and phase control. However, most real time manipulations were realized in reflection-type metasurfaces depending on phase control. Shaping transmitted fields with metasurface dynamically is still lacking to date. Herein, we propose a strategy combining active transmission amplitude control with phase coding to achieve excellent ability of tailoring the transmitted field patterns dynamically in microwave regime. The metasurface consists of a binary phase coding part on the bottom and an amplitude control part with loaded PIN diodes on the top. When biasing the diodes with variable voltage, active transmission amplitude control is obtained for specific phase coding units without affecting the others. Through phase coding and active amplitude control, manipulating the radiated EM waves on two degrees of freedom is realized. Dynamic beamforming on two coding schemes with this method is exhibited to the demonstrate the manipulation mechanism. The experiment results show good agreements with the theoretical predictions and numerical simulations, hence confirm the proposed concept. In addition, the elaborately designed bias network makes the metasurface polarization-insensitive. This work adds a convenient and feasible way for dynamic EM manipulation and can found new applications, such as reconfigurable beam emitter for adaptive communication and radar systems.
Low frequency broadband bandgaps in elastic metamaterials with two-stage inertial amplification and elastic foundations
Authors: Mu Di , Wang Keyi , Shu Haisheng , Lu Jiahao 
Published: May 2022

Abstract
This paper proposes two improved elastic metamaterials (EMs) by separately introducing the two-stage inertial amplification structures and introducing the structures and elastic foundations simultaneously based on the existing EMs. Firstly, the dynamic analysis of the unit cells and the calculation of band structures are carried out, the bandgap characteristics of proposed systems are taken a comparative analysis with those of existing EMs, and the bandgap formation mechanism is clarified by the effective parameter singularity. Then, the effects of structural parameters on bandgap characteristics are discussed. Finally, the vibration attenuation characteristics of finite lattice structures based on the equivalent models are calculated, and the transmittance testing experiments are conducted on prototypes of four-unit structures. Theoretical and experimental results show that, compared with the existing EMs, the two proposed systems have lower bandgap starting frequencies and larger bandwidths. This research could provide certain guidance for the control and utilization of low and ultra-low frequency vibration in engineering applications and the regulation of low and ultra-low frequency broadband elastic waves in scientific research related functional devices.
Transient phenomena during dense argon micro-plasma formation
Authors: Levko Dmitry , Subramaniam Vivek , Raja Laxminarayan L 
Published: May 2022

Abstract
We report on transient generation of highly ionized (ionization degree ∼10%) argon microplasma using a self-consistent fluid plasma model coupled with the compressible Navier–Stokes equations. The plasma is generated within a micrometer size cathode spot immediately after the onset of intense secondary electron emission from the cathode and exists over a relatively short duration of ∼10 ns. We observe the electron pressure within this microplasma exceeding the background gas pressure by a few times and discuss the mechanisms of the energy transfer from this plasma to the heavy species. The localized gas heating generates a compression wave that propagates from the cathode to the anode.
A progressive fault diagnosis method for rolling bearings based on VMD energy entropy and a deep adversarial transfer network
Authors: Xu Yanhe , Li Sifan , Jiang Wei , Liu Wei , Zhao Kunjie 
Published: May 2022

Abstract
Bearing fault diagnosis with extensive labeled fault data has been achieved. In engineering, most machines are in a healthy state. When a fault does occur, the machine is shut down as soon as possible, thus it is difficult and uneconomical to collect enough fault data with labels to carry out a fault diagnosis. To solve the problem, a hybrid fault diagnosis method for rotating machinery, based on variational mode decomposition energy entropy (VMD-EE) and transfer learning (TL), is proposed. First, we decompose the original signal using VMD, calculate the EE value of the modal components, then build a dataset using fault data from these components. Second, a deep residual neural network is proposed to extract high-dimensional features from the dataset and divide the data into source and target domains according to the working conditions. Finally, W-distances are introduced to dynamically evaluate the importance of the conditional and marginal distribution probabilities to minimize the loss, with a feature-based TL method being used to dynamically balance the distribution adaption and reduce the difference in the probability distributions of the two domains. The proposed method is validated using the datasets of Case Western Reserve University and a machinery fault simulator platform. The VMD-based intelligent health detection and statistical analysis solve the problem of mode mixing very well and accurately detect signal faults, or not, by

E

E

θ

, the threshold of VMD-EE. Meanwhile, the accuracy of TL-based neural network fault diagnosis is up to 99.4%, and the losses are kept at around 0.02. These results show the accuracy and robustness of the proposed method in the absence of datasets and under varying operating conditions.
Measurement and evaluation of wheel profiles of a rail vehicle on an underfloor wheelset lathe
Authors: Liu Fei , Liang Lin , Hou Chenggang , Xu Guanghua , Liu Dan , Wang Lixin , Chen Xiaohang , Du Hongfeng 
Published: May 2022

Abstract
Wheel profile form directly affects the dynamic behaviour of rail vehicles. Moreover, it is an important factor to ensure the safe running of a high-speed vehicle. As off-line measurements do not provide high-efficiency and high-accuracy wheel profile measurements, we focused on on-machine measurement and evaluation for obtaining the wheel profiles of a rail vehicle in this study. By combining the wheel machining with the wheel measurement, the measurement and evaluation of radial and axial wheel profiles on the underfloor wheelset lathe were proposed. The measurement of radial wheel profile based on two laser sensors was introduced, and the corresponding error models of on-machine measurement were established. The error models were used to separate the measurement errors from the measurement data. This can improve the accuracy of measuring the radial wheel profile effectively. For measuring the axial wheel profile, an adaptive correction method of profile error was proposed to suppress the measurement error, which was the basis for obtaining an accurate equivalent conicity. By measuring radial and axial wheel profiles, polygonisation evaluation and equivalent conicity were obtained to evaluate the radial and axial dynamic behaviours of a wheelset, respectively. Finally, the measurements were applied to an underfloor wheelset lathe to verify the effectiveness of measuring wheel profiles. In this study, we not only improved working efficiency for the machine tools, but also provided a high-accuracy measurement method for the wheel profiles of rail vehicle.
Measurement properties of electric field intensity distribution of whispering gallery mode with near-field optical probe
Authors: Liu Yushen , Kadoya Shotaro , Michihata Masaki , Takahashi Satoru 
Published: May 2022

Abstract
The distribution of the external electric field intensity of the whispering gallery mode (WGM) can be measured using a scanning near-field optical microscopy (SNOM) probe. As probing the resonator influences the optical resonance state, the measurement properties of the SNOM probe are worth studying. In this study, the measurement mechanism of WGMs using a glass SNOM probe was analyzed numerically. A probe with a nanometric-diameter is generally preferable. The results showed that the high-contrast measurement was possible; however, the signal was weak. Using a tip with a diameter equal to half the resonant wavelength, the signal strength was maximized with the same high contrast level as the nanoprobe. Interestingly, the measurement mechanism was different depending on tip size. With the nanoprobe, the interaction with the WGMs varied depending on the sensing locations; therefore, the resonant states were modulated during the measurements, which may have induced unexpected mode hopes. The resonance state was steady during measurements using a probe tip with a diameter of half the resonance wavelength. Although the mechanisms were different, the measured electric field intensity distributions were the same for both tip diameters.
Degenerate skyrmionic states in synthetic antiferromagnets
Authors: Bhukta Mona , Singh Braj Bhusan , Mallick Sougata , Rohart Stanislas , Bedanta Subhankar 
Published: May 2022

Abstract
Topological magnetic textures, characterized by integer topological charge S, are potential candidates in future magnetic logic and memory devices, due to their smaller size and expected low threshold current density for their motion. An essential requirement to stabilize them is the Dzyaloshinskii–Moriya interaction (DMI) which promotes a particular chirality, leading to a unique value of S in a given material. However, recently coexistence of skyrmions and antiskyrmions, with opposite topological charge, in frustrated ferromagnets has been predicted using J
1–J
2–J
3 classical Heisenberg model, which opens new perspectives, to use the topological charge as an additional degree of freedom. In this work, we propose another approach of using a synthetic antiferromagnetic system, where one of the ferromagnetic (FM) layer has isotropic and the other FM layer has anisotropic DMI to promote the existence of skyrmions and antiskyrmions, respectively. A frustrated interaction arises due to the coupling between the magnetic textures in the FM layers, which enables the stabilization and coexistence of 6 novel elliptical topological textures.
Growth of uniform Mg-doped p-AlGaN nanowires using plasma-assisted molecular beam epitaxy technique for UV-A emitters
Authors: Sarkar Ritam , Bhunia Swagata , Jana Dipankar , Nag Dhiman , Chatterjee Soumyadip , Laha Apurba 
Published: May 2022

Abstract
In this manuscript, we have shown the growth and extensive structural and optical characteristic of the uniformly Mg-doped Al0.23Ga0.77N (UV-A region, λ ∼ 323 nm) nanowire. The Kelvin probe force microscopy was employed to determine the profile of holes in p-type AlGaN nanowires by measuring the work function changes induced by Mg incorporation. The influence of surface band bending on doping concentration has thoroughly been discussed. Our experiment confirms the homogeneous incorporation of Mg throughout the nanowire without any top surface Mg segregation. In this work, we have also demonstrated a comprehensive analysis of acceptor states induced thermal quenching behaviour in the optical transition of Mg-doped AlGaN nanowire. We propose a phenomenological model, based on the rate equation which confirms that achieving higher ‘hole’ (p-doping) concentration in AlGaN nanowire (>1018 cm−3) is more conducive than the planar counterpart if the growth of NWs is carried out at optimized process conditions. This rate equation-based model has also demonstrated the influence of sidewall surface passivation in those AlGaN nanowires.
Temperature dependence of nanoscale friction on topological insulator Bi2Se3 surfaces
Authors: Wang Wen , Lei Haocheng , Wang Ashu 
Published: May 2022

Abstract
The topological insulator Bi2Se3 is an insulator in the bulk and has unusual metallic surface states that consist of spin-polarized Dirac fermions. Although the electronic properties of topological insulators have been extensively studied, the friction characteristic that is a key factor for further applications is barely known. In this study, conductive friction force microscopy (c-FFM) in ultrahigh vacuum (UHV) conditions was used to probe the nanoscale friction on freshly cleaved Bi2Se3 planes (0001) as a function of surface temperature from 105.0 K to 300.0 K. The experimental results demonstrate a non-monotonic enhancement of dry friction, with distinct friction peaks emerging at

T

1

=
245.0
±
5

K and

T

2

=
125.0
±
5

K. While the widths of the friction peaks are nearly independent of the normal force, the relative peak height increases and the peak temperature decreases with normal load. We reveal that this anomalous friction behavior originates from the formation and rupture of multiple thermally activated sub-contacts, which is further confirmed by velocity dependence measurements. These results for multiple thermally activated sub-contact formation and rupture provide a deep insight into the frictional behaviors of Bi2Se3.
Complete analysis of beam analyzing powers in

d+γ⃗⃗n+p

at near threshold energies
Authors: Shilpashree S P 
Published: May 2022

Abstract
Focusing attention on the photon spin in

d
(

γ

⃗

,
n
)
p

at near threshold energies of interest to Big Bang Nucleosynthesis, a complete analysis of beam analyzing powers in

d
(

γ

⃗

,
n
)
p

reaction is carried out. A complete analysis of the reaction needs not only measurements using one state of linear polarization of photon but also measurements using another state of linear polarization inclined to the first at π/4 and the two states of circular polarization of the photon. A discussion on the complete characterization of the states of photon polarization is presented. The beam analyzing powers with respect to photon polarization are discussed theoretically, using model independent irreducible tensor formalism.
Prototype hardware design and testing of the global common module for the global trigger subsystem of the ATLAS phase-II upgrade
Authors: Tang S. , Bonini F. 
Published: May 2022

Abstract
The High-Luminosity Large Hadron Collider (HL-LHC) will deliver more than ten times the integrated luminosity of the previous runs combined. Meeting its stricter throughput requirements poses new challenges to the Trigger and Data Acquisition (TDAQ) systems of the LHC experiments. Introduced in the framework of the ATLAS experiment’s HL upgrade, the Global Trigger (GT) is a new subsystem which will perform offline-like algorithms on full-granularity calorimeter data. The implementation of the GT’s functionality is firmware-focused and is composed of three layers: multiplexing (or data aggregating), global event processing, and demultiplexing interface to the central trigger processor. Each layer will be composed of several, similar nodes, hosted on replicas of identical hardware, the Global Common Module (GCM), an ATCA front board which is designed to be adopted throughout the entire GT subsystem. This article proceeds from the TWEPP 2021 conference and presents the GCM hardware design, performed in 2020, and focuses on some key results of its extensive testing performed in 2021.
Quantum cohomology of symplectic flag manifolds
Authors: Guo Jirui , Zou Hao 
Published: May 2022

Abstract
We compute the quantum cohomology of symplectic flag manifolds. Symplectic flag manifolds can be described by non-abelian GLSMs with superpotential. Although the ring relations cannot be directly read off from the equations of motion on the Coulomb branch due to complication introduced by the non-abelian gauge symmetry, it can be shown that they can be extracted from the localization formula in a gauge-invariant form. Our result is general for all symplectic flag manifolds, which reduces to previously established results on symplectic Grassmannians and complete symplectic flag manifolds derived by other means. We also explain why a (0, 2) deformation of the GLSM does not give rise to a deformation of the quantum cohomology.
A four node quadrilateral shell element for free vibration response of functionally graded spherical shell panels
Authors: Dahele R B , Kulkarni S D , Dagade V A 
Published: May 2022

Abstract
The present work involves the free vibration analysis of functionally graded spherical shells using a four-node quadrilateral shell element. This four-node, shell element has seven DOF (Degrees of Freedom) per node namely; three displacements, two rotations of mid-plane, and two transverse shear strain com-ponents. The element is developed by modifying the discrete Kirchhoff quadri-lateral shell element based on Reddy’s third-order theory developed earlier by the authors for the cylindrical shell. By transforming all the degrees of freedom from local to global coordinates using a transformation matrix converts the plate bending element into a flat shell element, resulting in the present formulation being suitable to give results for thin shells as well as for thick shells. In the present work functionally graded spherical shell panels with simply supported as well as clamped boundary condition, with various radius to span ratios and with different volume fraction indices are analyzed for free vibration response. The power law property variation through the thickness is considered in this study. To assess the performance of the developed element, the results, of non-dimen-sionalised frequencies are compared with the results presented in the literature. Comparison of results shows that the developed element yields quite accurate results even with the coarser mesh, which indicates the computational efficiency. It is also seen that the percentage difference between the present results and the other results available in the literature is less than 2 in most of the cases.
The Sixth Agria Conference on Innovative Vehicle Technologies and Automation Solutions, InnoVeTAS2022
Authors: Soltész László , Pokorádi László , Gödri István 
Published: May 2022

Even though the last few years were filled with all kinds of challenges for companies and universities; we are happy to host once again, the Sixth Agria Conference on Innovative Vehicle Technologies and Automation Solutions, also known as InnoVeTAS2022. This conference series was started as a subset event of the International Pneumobile competition, in order to make it more attractive to students and professors from a wide range of universities in Europe. Today, the InnoVeTAS conference has become an independent scientific forum, which is traditionally held in the middle of May. The International Pneumobile conference date has been moved to September.
This being the sixth conference in the series; our event has become one of the major technical and scientific talks in Heves County! Additionally, we are now visible on the venue of Hungarian national conferences! In cooperation with IOP Publishing, this year’s conference proceedings will also be the second time, that it will have been listed in the Scopus index, which is useful for high level researchers.
List of Organizing Committee, Scientific Committee, Editorial Committee, Invited Speakers, Organizing Institution, Sponsor are available in the pdf