bluuebunny/crossref_metadata_2025_split huggingface dataset:
Los vocativos contraculturales
Authors: De Latte Fien 
Published: April 2024

Resumen
La presente contribución indaga en la difusión de los vocativos representativos del cheli en las décadas
posteriores al auge contracultural, y más allá, en los factores subyacentes al cambio lingüístico micro-diacrónico. Más en
concreto, se estudia empíricamente cómo se han propagado los vocativos contraculturales de mayor importancia en el paradigma cheli
(p. ej. tío/-a), en contraste con vocativos de significado y uso generales (p. ej. chico/-a), en
el español coloquial de los últimos cincuenta años, prestando especial atención a los cambios de productividad de las formas bajo
análisis. Para ello, se recurre a la consulta de varios corpus orales, a saber, CORLEC
(años 90), COLAm (años 2000), y CORMA (2016–2019), que recogen datos conversacionales de diferentes décadas. Estos datos se
complementan con informaciones documentales y testimoniales. Los resultados sugieren que los rasgos semánticos y la fuerza
expresiva de los vocativos juegan un papel primordial en su ruta de difusión hasta fechas recientes.
Visualization of the rolling motion of spheres connected with a rubber band using an image processing technique
Authors: Yin Yue , Liu Jiabin , Ye Xi , Pan Wei 
Published: April 2024

Abstract
The traditional physics laboratory has adopted a photogate and polarized light to measure rotation motion in a fixed system, but they are not applicable to rolling objects. Computer vision has played an increasingly important role in image analysis. The popularization of mobile phones, cameras and computers makes it possible to measure the rotation of an object in a simple but nonintrusive way in a physics laboratory. A ‘tracker’ has been used to analyze the rotation motion of large objects, such as vehicle wheels, by recognizing the position of a marker. However, it is still challenging to precisely recognize the marker in a small object via simple algorithms in a physics laboratory. In this paper, we introduce a facile image processing technique to visualize the rotation and spin motion of spheres by marking it with two red and green semi-spheres. A basic formula of projection was derived to analyze the expression of spin angles with the projection area of the semi-sphere. The precision and suitability of the image processing technique was proven to be effective through comparison with the photogate measurement technique. The image processing technique has also been used to analyze the rotation and spin motion of two spheres bonded with a rubber band. It provides not only the trajectory of sphere centers, but the evolution of spin angles, orbit diameter and orbit angles of spheres. By analyzing the relationship between spin angles and orbit diameter, it is clear that the rubber band experienced typical transformations between three different phases (twist, coil and supercoil) until the energy was exhausted. The method offers valuable insights into rotational dynamics, showcasing its potential for practical applications in the physics laboratory and in educational contexts.
Systematic study of magnetic and antimagnetic rotational bands
Authors: Teng J X , Ma K Y 
Published: April 2024

Abstract
The magnetic and antimagnetic rotational bands are systematically investigated in the present work. Up to now, 253 magnetic rotational bands and 40 antimagnetic rotational bands have been reported in 123 nuclei and 29 nuclei, respectively. The experimental data for these bands are collected and collated, including the level energy, γ-ray energies, spin I, magnetic dipole reduced transition probability B(M1), electric quadrupole reduced transition probability B(E2), B(M1)/B(E2), and

J

(2)/B(E2), etc. In addition, following the presentation of the kinematic moment-of-inertia

J

(1), dynamic moment-of-inertia

J

(2), and I versus rotational frequency ω, as well as energy staggering parameter S(I), B(M1), B(E2), B(M1)/B(E2), and

J

(2)/B(E2) versus I in A ∼ 60, 80, 110, 140, and 190 mass regions, a discussion is provided in detail. Based on the systematic studies, the main features of magnetic and antimagnetic rotational bands are summarized. Furthermore, some nuclei are also predicted to be candidates for magnetic or antimagnetic rotation.
Flat bands without twists: periodic holey graphene
Authors: de Jesús Espinosa-Champo Abdiel , Naumis Gerardo G 
Published: April 2024

Abstract

Holey Graphene (HG) is a widely used graphene material for the synthesis of high-purity and highly crystalline materials. The electronic properties of a periodic distribution of lattice holes are explored here, demonstrating the emergence of flat bands. It is established that such flat bands arise as a consequence of an induced sublattice site imbalance, i.e. by having more sites in one of the graphene’s bipartite sublattice than in the other. This is equivalent to the breaking of a path-exchange symmetry. By further breaking the inversion symmetry, gaps and a nonzero Berry curvature are induced, leading to topological bands. In particular, the folding of the Dirac cones from the hexagonal Brillouin zone (BZ) to the holey superlattice rectangular BZ of HG, with sizes proportional to an integer n times the graphene’s lattice parameter, leads to a periodicity in the gap formation such that

n
≡
0

(mod 3). A low-energy hamiltonian for the three central bands is also obtained revealing that the system behaves as an effective

α
−

T

3

graphene material. Therefore, a simple protocol is presented here that allows for obtaining flat bands at will. Such bands are known to increase electron-electron correlation effects. Therefore, the present work provides an alternative system that is much easier to build than twisted systems, allowing for the production of flat bands and potentially highly correlated quantum phases.
A novel facial age estimation through super-resolution based on deep learning
Authors: Yao Chenguang , He Kaifei , Ding Kai , Lin Deyu , Yang Jinquan 
Published: April 2024

Abstract
Age estimation encounters challenges due to the low resolution (LR) of images captured in real-world scenarios, emphasizing the critical role of image quality in achieving accurate age estimations. Despite efforts to enhance age estimation through LR image training, existing methodologies often overlook the incorporation of super-resolution (SR) as a crucial pre-processing step for LR images. This study introduces an innovative approach that integrates SR of facial images with age estimation methodologies. Specifically, a hierarchical reconstruction network (HRN) structure is employed to train LR images, fully integrating shallow concrete features and deep abstract features. Validation of the training outcomes includes evaluation metrics such as peak signal-to-noise ratio and structural similarity index measurement, showing superior performance compared to several state-of-the-art approaches. Subsequently, an enhanced soft stage regression network is designed for facial age measurement and trained using the SR-IMDB dataset generated by HRN to minimize mean absolute error. This approach achieves a final result of 7.33, indicating an average performance improvement of 10.94% compared to five other state-of-the-art methods. Experimental results highlight the effectiveness of integrating SR into the age estimation process.
Research on non-intrusive load identification method based on multi-feature fusion with improved shufflenetv2
Authors: Wang Haitao , Wang Peng , Shu Liang 
Published: April 2024

Abstract
Non-intrusive load monitoring is a significant advancement in energy conservation and smart electricity usage as it enables the identification of load status and equipment type without the need for extensive sensing instruments. As one of the important steps of non-intrusive load monitoring, non-intrusive load identification plays a crucial role in the correct identification of electrical appliances. In this paper, a novel approach is presented to amalgamate multiple appliance features into a new identification feature, which is then used for appliance recognition through an improved lightweight deep learning model. This addresses the issue of low accuracy when using a single feature for appliance identification. The core concept involves initially capturing the current data of an appliance during steady state operation and fusing the image features of the appliance encoded by Gramian summation angular field, Gramian difference angular field, and Markov transition field into new recognition features for each appliance using average weighting. Subsequently, a shufflenetv2 lightweight deep learning model based on the squeeze -and-excitation module is used to mine the constructed load feature information for the load classification task. The method is then experimentally validated on the Self-test Dataset, PLAID, and WHITED dataset, resulting in recognition accuracies of 100%, 98.214%, and 99.745%, respectively. These results demonstrate the effectiveness of the proposed method in significantly improving recognition performance compared to the original approach.
Improvement of performance for flexible film dosimeter by incorporating additive agents
Authors: Cho Jin Dong , Jung Seongmoon , Kim Jung-in , Choi Chang Heon 
Published: April 2024

Abstract

Objective. To evaluate the reduction in energy dependence and aging effect of the lithium salt of pentacosa−10,−12-diynoic acid (LiPCDA) films with additives including aluminum oxide (Al2O3), propyl gallate (PG), and disodium ethylenediaminetetracetate (EDTA). Approach. LiPCDA films exhibited energy dependence on kilovoltage (kV) and megavoltage (MV) photon energies and experienced deterioration over time. Evaluations were conducted with added Al2O3 and antioxidants to mitigate these issues, and films were produced with and without Al2O3 to assess energy dependence. The films were irradiated at doses of 0, 3, 6, and 12 cGy at photon energies of 75 kV, 105 kV, 6 MV, 10 MV, and 15 MV. For the energy range of 75 kV to 15 MV, the mean and standard deviation (std) were calculated and compared for the values normalized to the net optical density (netOD) at 6 MV, corresponding to identical dose levels. To evaluate the aging effect, PG and disodium EDTA were incorporated into the films: sample C with 1% PG, sample D with 2% PG, sample E with 0.62% disodium EDTA added to sample D, and sample F with 1.23% disodium EDTA added to sample D. Main results. Films containing Al2O3 demonstrated a maximum 15.8% increase in mean normalized values and a 15.1% reduction in std, reflecting a greater netOD reduction at kV than MV energies, which indicates less energy dependence in these films. When the OD of sample 1–4 depending on the addition of PG and disodium EDTA, was observed for 20 weeks, the transmission mode decreased by 8.7%, 8.3%, 29.3%, and 27.3%, respectively, while the reflection mode was 5.4%, 3.0%, 37.0%, and 34.5%, respectively. Significance. Al2O3 effectively reduced the voltage and MV energy dependence. PG was more effective than disodium EDTA in preventing the deterioration of film performance owing to the aging effect.
Measuring blood pressure from Korotkoff sounds as the brachial cuff inflates on average provides higher values than when the cuff deflates
Authors: Celler Branko G , Argha Ahmadreza 
Published: April 2024

Abstract

Objectives. In this study, we test the hypothesis that if, as demonstrated in a previous study, brachial arteries exhibit hysteresis as the occluding cuff is deflated and fail to open until cuff pressure (CP) is well below true intra-arterial blood pressure (IAPB), estimating systolic (SBP) and diastolic blood pressure (DBP) from the presence of Korotkoff sounds (KS) as CP increases may eliminate these errors and give more accurate estimates of SBP and DBP relative to IABP readings. Approach. In 62 subjects of varying ages (45.1 ± 19.8, range 20.6–75.8 years), including 44 men (45.3 ± 19.4, range 20.6–75.8 years) and 18 women (44.4 ± 21.4, range 20.9–75.3 years), we sequentially recorded SBP and DBP both during cuff inflation and cuff deflation using KS. Results. There was a significant (p < 0.0001) increase in SBP from 122.8 ± 13.2 to 127.6 ± 13.0 mmHg and a significant (p = 0.0001) increase in DBP from 70.0 ± 9.0 to 77.5 ± 9.7 mmHg. Of the 62 subjects, 51 showed a positive increase in SBP (0–14 mmHg) and 11 subjects showed a reduction (−0.3 to −7 mmHg). The average differences for SBP and DBP estimates derived as the cuff inflates and those derived as the cuff deflates were 4.8 ± 4.6 mmHg and 2.5 ± 4.6 mmHg, not dissimilar to the differences reported between IABP and non-invasive blood pressure measurements. Although we could not develop multiparameter linear or non-linear models to explain this phenomenon we have clearly demonstrated through ANOVA tests that both body mass index (BMI) and pulse wave velocity are implicated, supporting the hypothesis that the phenomenon is associated with age, higher BMI and stiffer arteries. Significance. The implications of this study are that brachial sphygmomanometry carried out during cuff inflation could be more accurate than measurements carried out as the cuff deflates. Further research is required to validate these results with IAPB measurements.
TSS-ConvNet for electrical impedance tomography image reconstruction
Authors: Ameen Ayman A , Sack Achim , Pöschel Thorsten 
Published: April 2024

Abstract

Objective. The objective of this study was to propose a novel data-driven method for solving ill-posed inverse problems, particularly in certain conditions such as time-difference electrical impedance tomography for detecting the location and size of bubbles inside a pipe. Approach. We introduced a new layer architecture composed of three paths: spatial, spectral, and truncated spectral paths. The spatial path processes information locally, whereas the spectral and truncated spectral paths provide the network with a global receptive field. This unique architecture helps eliminate the ill-posedness and nonlinearity inherent in the inverse problem. The three paths were designed to be interconnected, allowing for an exchange of information on different receptive fields with varied learning abilities. Our network has a bottleneck architecture that enables it to recover signal information from noisy redundant measurements. We named our proposed model truncated spatial-spectral convolutional neural network (TSS-ConvNet). Main results. Our model demonstrated superior accuracy with relatively high resolution on both simulation and experimental data. This indicates that our approach offers significant potential for addressing ill-posed inverse problems in complex conditions effectively and accurately. Significance. The TSS-ConvNet overcomes the receptive field limitation found in most existing models that only utilize local information in Euclidean space. We trained the network on a large dataset covering various configurations with random parameters to ensure generalization over the training samples.
Qubits as hypermatrices and entanglement
Authors: Dobes Isaac , Jing Naihuan 
Published: April 2024

Abstract
In this paper, we represent n-qubits as hypermatrices and consider various applications to quantum entanglement. In particular, we use the higher-order singular value decomposition of hypermatrices to prove that the π-transpose is an LU invariant. Additionally, through our construction we show that the matrix representation of the combinatorial hyperdeterminant of 2n-qubits can be expressed as a product of the second Pauli matrix, allowing us to derive a formula for the combinatorial hyperdeterminant of 2n-qubits in terms of the n-tangle.
An in-depth investigation of nonlinear optical properties of self-assembled borophene doped with P7Ba2NO3: a computational simulating study
Authors: Ayub Ali Raza , Tahir Sheza , Salba  , Hamid Hira , Maqsood Nimra , Arshed Saher Mubeen , Altowyan Abeer S , Iqbal Javed 
Published: April 2024

Abstract
Density functional theory was used to conduct a theoretical analysis of super salt doped on borophene. With the LanL2DZ basis set, which is appropriate for metal atoms, the B3LYP technique was used. Numerous analyses were used to characterize the structural properties, such as molecular geometry, frontier molecular orbital, non-covalent interaction, electron density difference map, molecular electrostatic potential, Density of States (DOS), UV–vis spectroscopy and infrared vibrational spectra analysis. The nonlinear optical characteristics were investigated through polarizability as well as hyperpolarizability calculations theoretically. The values were noticeably greater than those of borophene in all the above results. Compared to borophene, which has a hardness value of 0.905 eV, all the complexes exhibited small values of hardness, ranging from 0.41 eV to 0.795 eV. In addition, it was found that all the complexes had lower excitation energies as opposed to the greater excitation energy of borophene. Due to its lowest excitation energy (E), Boro@SS4 showed a striking increase in average polarizability (

α

o

= 847.13 au) in addition average first hyperpolarizability (

β

0

= 540007.60 au) in comparison to borophene (

α

o

= 593.75 au and

β

0

= 383.76 au).
A vibration analysis of the permanent magnet synchronous motor under the effect of proportional derivative control
Authors: Bauomy H S , Amer Y A , Elsayed A T , Agwa M M 
Published: April 2024

Abstract
In industrial environments, excessive vibration can pose a safety risk since it can weaken the structural integrity of PMSMs and adjacent equipment. Vibration levels can be understood and controlled to help assure safe operation and avoid mishaps or equipment breakdowns. Friction and mechanical resistance are examples of vibration-induced losses that can lower PMSMs’ overall efficiency. Through the optimization of motor design and operation, engineers may minimize vibration and increase energy efficiency while lowering operating costs. Since an electric motor’s tendency to overheat after a brief period of use is linked to oscillating vibration, this study employs a proportional derivative control (PD control) to demonstrate the potential effectiveness of a permanent magnet synchronous motor (PMSM). The external force is a component of the non-linear dynamical system. The equation of the (PMSM) system is explained with two-degree-of-freedom (2dof) differential coupled equations, consisting of the major body (motor current) and cutting drive system. The present study uses the approximate method of multiple scales perturbation technique (MSPT) to get an approximate solution, showing the response equation before using (PD) and to achieve the highest effect on the control system so as to ensure the highest efficiency at the lowest possible cost. Different numerical tests have been conducted (NPDCVF, NVC, PPF, PD, delay velocity) and showed that (PD) has the best effect and is able to control the vibrations with more accuracy than others. Then, the vibration value of the system has been studied numerically before and after applying the control method of (MSPT). By combining the analysis of the resonance situation via both the phase plane techniques and the frequency response equation

ω

1

≅

ω

2

,
ω
≅

ω

2

,

within the utilization of Runge–Kutta of the fourth-order, the stability of the numerical solution has been investigated. Then, by employing the MATLAB tool, the impact of various parameters on model performance has been examined numerically. Lastly, a comparison is made with earlier research and other techniques used in prior work using other types of control mechanisms for other systems.
Shapes and structure for the lowest states of the 42,44Ca isotopes
Authors: Benjedi R , Budaca R , Buganu P , EL Bassem Y , Lahbas A , Oulne M 
Published: April 2024

Abstract
The shape and the associated dynamics of the 42,44Ca isotopes are investigated within the Bohr-Mottelson Model and the Covariant Density Functional Theory for the presence of the shape coexistence and mixing phenomena. The corresponding experimental energy spectrum and most of the electromagnetic transitions are well reproduced only by taking into account such phenomena. New possible developments of the models are indicated where improvements in agreement with the experimental data are needed.
Deep-learning-assisted design of multi-degree-of-freedom metamaterial absorber
Authors: Wang Shuqin , Ma Qiongxiong , Wei Zhongchao , Wu Ruihuan , Ding Wen , Guo Jianping 
Published: April 2024

Abstract
In recent years, the development of metamaterial absorbers (MAs) based on deep learning methods has become a popular research topic. Nevertheless, conventional analytical approaches have limitations, leading to MAs characterized by low-degree-of-freedom cell structures, thereby restricting their absorption characteristics. In this study, we propose a multi-degree-of-freedom MA with multiple variable parameters in terms of structures, materials, and number of layers, which are distinguished by coding. Additionally, deep learning models, including a fully connected neural network, recurrent neural network, AlexNet, and residual neural network, are designed to predict structures and absorption spectra. We compare the prediction accuracy of these four neural network models and identify the optimal network model for spectral prediction and on-demand design. Using trained neural network models, we successfully designed broadband, dual-band, and single-band MAs in on-demand design. Compared with other design methods, this method provides a greater degree of freedom in device design, which allows the design of MAs to have more absorption characteristics
Spectral analysis for weighted extended Vicsek polygons
Authors: Wang Wenjie , Liang Xiangyu , Zeng Cheng , Xue Yumei , Peng Lulu 
Published: April 2024

Abstract
Because of the application of fractal networks and their spectral properties in various fields of science and engineering, they have become a hot topic in network science. Moreover, deterministic weighted graphs are widely used to model complex real-world systems. This paper studys weighted extended Vicsek polygons W(G

m,t
), which are based on the Vicsek fractal model and the extended fractal cactus model. The structure of these polygons is controlled by the positive integer coefficient m and the number of iterations t. From the construction of the graph, we derive recursive relations of all eigenvalues and their multiplicities of normalized Laplacian matrices from the two successive generations of the weighted extended Vicsek polygons. Then, we use the spectra of the normalized Laplacian matrices to study Kemeny’s constant, the multiplicative Kirchhoff index, and the number of weighted spanning trees and derive their exact closed-form expressions for the weighted extended Vicsek polygons. The above results help to analyze the topology and dynamic properties of the network model, so it has potential application prospects.
Kinematic parameters and Raychaudhuri equation in the Kantowski-Sachs model
Authors: Silva B B , Spalenza W , Gonçalves S V B 
Published: April 2024

Abstract
In this work we present a review of the calculations of homogeneous and anisotropic cosmological models, particularly the Kantowski-Sachs cosmological model. As an innovative contribution, we calculate an exact solution to the field equations with a general expression for the material content of the Universe. We obtain the expressions for energy density in this general case. We also study the case involving a scalar field. We investigate the evolution dynamics of the model, encompassing the Hubble, density, and deceleration parameters. We calculate the kinematic parameters associated with the model, namely: the scalar expansion Θ, the shear scalar σ, the rotation parameter ω and the parameter R

α
β

U

α

U

β
, also known as Raychaudhuri scalar or convergence condition, all these parameters expressed in the Raychaudhuri equation.