bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implications of ideology on school buildings and cultural pluralistic context of Gazimağusa, North Cyprus
Authors: Ukabi Ejeng B. , Gurdalli Huriye 
Published: October 2023

AbstractThis paper aims to answer the pertinent question: What are the implications of ideology on school buildings and the culturally pluralistic context of Gazimağusa in Northern Cyprus? It traces the social and communication qualities of architecture to restructure the architectural identity of schools and the cultural patterns of this city during the British Period (1878–1960). The colonialists relied on education as an ideological tool for perceiving social and economic stability through training a new, educated middle class to replace the existing traditional authorities: Ottoman leaders and Church structures. Their failure to recognize the diverse cultural layers of the context led to unsustainable outcomes. An interpretative case research approach that involved descriptive and historical techniques was utilized to investigate this situation. Ideology had two separate but related consequences in the context chosen at both urban and architectural scales. Resulting in a cultural shift from intrinsic to extrinsic living that contradicts previous cultural alignments of the place. The urban syntax for communal life shifted to exclusivity, and cultural coexistence was divided between Turkish and Greek Cypriots on the one side; on the other, schools copied a globalized character of transformation. Based on contextual perceptions, the study advocates for a creative cultural mix of local and global concepts. The island went through modernization, hosting the two communities under British Colonial Rule who were both struggling with the colonizers on one hand and experiencing ethnic and political clashes on the other; they formed the conditions for a wide variety of school buildings. Within this context, the paper highlights school buildings as an ideological space, symbol, and tool of nationalism and colonization/decolonization.
Advanced space charge limited field emission cathodes
Authors: Exelby S. C. , Leach C. J. 
Published: October 2023

Several novel field emission cathodes are constructed by attaching a variety of materials to a steel substrate using multiple methods of bonding. These cathodes are tested using a pulsed relativistic (350–550 kV) vircator in a space charge limited operating regime. The viability of these cathodes as advanced or alternative components in high power microwave systems is evaluated. The currents measured from the cathodes are compared to values predicted from a 3D space charge limited flow model. The performance of the cathode is determined by how the current deviates from the model, as well as the consistency and durability.
Full quantum scattering calculations of the line-shape parameters for the P and R branches of HF perturbed by Ar
Authors: Chai Shijie , Yang Dongzheng , Zhou Yanzi , Xie Daiqian 
Published: October 2023

This work studied the rovibrational absorption spectral line-shape parameters of the P(1)–P(10) and R(0)–R(9) lines for Hydrogen fluoride perturbed by argon in the 0–0, 1–0, and 2–0 vibrational bands at 20–1000 K. A dataset of beyond-Voigt line-shape parameters (pressure broadening and shifting parameters, their speed dependencies, and the complex Dicke parameters) has been theoretically determined for the first time from generalized spectroscopic cross-section calculated by the full quantum scattering calculations. Then these parameters were employed to predict the line shape and asymmetry based on the partially-correlated speed-dependent hard-collision and the partially-correlated quadratic-speed-dependent hard-collision profiles. The effect of each parameter on the line shape and line asymmetry was further studied, which revealed that the beyond-Voigt effects were indispensable to accurately describe the line shape contour. Our results are in good agreement with the available experimental observations and provide a comprehensive set of theoretical references for further experimental measurements.
Postpartum contraception in Australia: opportunities for increasing access in the primary care setting
Authors: Singh Rhea , Botfield Jessica R. 
Published: October 2023

In Australia, 20% of pregnancies occur within the first year after birth and most are unintended. Both unintended pregnancies and short interpregnancy intervals (<12–18 months) can have adverse effects on maternal, infant, and child health. Access to postpartum contraception reduces the risk of unintended pregnancies and short interpregnancy intervals, and supports women in pregnancy planning and birth spacing. In this forum article, we describe how postpartum contraception is currently provided in Australia and highlight opportunities for improving access in the primary care setting.
Quantum computing with trapped ions: a beginner’s guide
Authors: Bernardini Francesco , Chakraborty Abhijit , Ordóñez Carlos R 
Published: October 2023

Abstract
This pedagogical article elucidates the fundamentals of trapped-ion quantum computing, which is one of the potential platforms for constructing a scalable quantum computer. The evaluation of a trapped-ion system’s viability for quantum computing is conducted in accordance with DiVincenzo’s criteria.
Should you walk, run or sprint in the rain to get less wet?
Authors: Zaegel Matteo , Vehils-Vinals Mathis , Guastalla Hugo , Benabou Benjamin , Gires Auguste 
Published: October 2023

Abstract
We have all wondered once whether we should walk, run or sprint in the rain in order to stay as dry as possible. Previous publications already addressed this subject using simple models, as for the shape of the body and the description of the rain and wind. This paper presents a detailed approach which relies on a more realistic ‘human body’ shape and accounts for the variability in time of both the wind and the raindrop size and velocity distributions. It appears that in some seldom cases with tailwind and light rain, there is an optimum velocity, but in general it is better to run as fast as possible. While ‘running’ instead of ‘walking’ yields significant gain, the extra effort required to ‘sprint’ is not always worth it.
Anomalous Hall effect in naturally oxidized normal-metal Al/Cu double films
Authors: Zhao Lijuan , Li Yuzhi , Wang Yongzuo , Chen Peng , lv Bing , Gao Cunxu 
Published: October 2023

Abstract
An unexpectedly larger current-induced spin–orbit torque in oxidized Cu (CuO
x
)/ferromagnet (FM) than heavy-metal/FM has recently attracted intense attention in spintronic studies. Although the two mechanisms, interfacial Rashba Edelstein effect and spin-vorticity coupling, have been put forward based on the two different conductive features of CuO
x
, i.e. electrical insulator and gradient of electrical mobility, the detailed investigation of transport of CuO
x
is still lacking. Here we experimentally report the positive and negative anomalous Hall effect (AHE) in naturally oxidized normal-metal Al/Cu double films. We found that the onset temperature of AHE corresponds to magnetic transition temperature of CuO
x
. Furthermore, by comparing Hall resistance of the crystalline and amorphous Cu/Al double films, we identify that the positive anomalous Hall resistance attributes to magnetic moment of CuO
x
itself, while the negative anomalous Hall resistance can originate from the spin or orbital currents generated at the CuO
x
/AlO
x
interface interact with magnetization of CuO
x
and its inverse process.
Study on muon MDM and lepton EDM in BLMSSM via the mass insertion approximation
Authors: Wang Xi , Long Xin-Xin , Wang Yi-Tong , Wang Tong-Tong , Zhang Hai-Bin , Feng Tai-Fu , Zhang Rong-Xiang , Zhao Shu-Min 
Published: October 2023

Abstract
In the framework of the MSSM extension with local gauged baryon and lepton numbers (BLMSSM), we calculate the muon anomalous magnetic dipole moment (MDM) and lepton (e, μ, τ) electric dipole moment (EDM), and discuss how the muon MDM and lepton EDM depend on the parameters within the mass insertion approximation. Among many parameters,

tan
β

, g

L
, m

L
and μ

H
are more sensitive parameters for

a
μ
BL

. Considering the experimental limitations, our best numerical result of

a
μ
BL

is around 2.5 × 10−9, which can well compensate the departure between the experiment data and standard model (SM) prediction. The CP violating phases in BLMSSM are more than those in the MSSM, including new parameters

θ

μ

L

and θ

L
. They can give large contributions, which play an important role in exploring the source of CP violation and probing new physics beyond SM.
First-principles study of magnetic interactions and excitations in antiferromagnetic van der Waals material MPX3 (M=Mn, Fe, Co, Ni; X=S, Se)
Authors: Yan Songsong , Du Yongping , Zhang Xiaoou , Wan Xiangang , Wang Di 
Published: October 2023

Abstract
Transition metal phosphorus trichalcogenides MPX3 (M = Mn, Fe, Co, Ni; X = S, Se), as layered van der Waals antiferromagnetic (AFM) materials, have emerged as a promising platform for exploring two-dimensional (2D) magnetism. Based on density functional theory, we present a comprehensive investigation of the electronic and magnetic properties of MPX3. We calculated the spin exchange interactions as well as magnetocrystalline anisotropy energy. The numerical results reveal that J
3 is AFM in all cases, and J
2 is significantly smaller compared to both J
3 and J
1. This behavior can be understood with regard to exchange paths and electron filling. Compared to other materials within this family, FePS3 and CoPS3 demonstrate significant easy-axis anisotropy. Using the obtained parameters, we estimated the Néel temperature T

N
and Curie-Weiss temperature

θ

C
W

, and the results are in good agreement with the experimental observations. We further calculated the magnon spectra and successfully reproduce several typical features observed experimentally. Finally, we give helpful suggestions for the strong constraints about the range of non-negligible magnetic interactions based on the relations between magnon eigenvalues at high-symmetry k points in honeycomb lattices.
Observation of plasmon excitation in liquid silicon by inelastic x-ray scattering
Authors: Matsuda Kazuhiro , Ishiguro Yotaro , Kimura Koji , Hagiya Toru , Kajihara Yukio , Nagaya Kiyonobu , Inui Masanori , Hiraoka Nozomu 
Published: October 2023

Abstract
Inelastic x-ray scattering (IXS) measurements were performed for observing the excitation of bulk plasmons in metallic liquid silicon (Si). The peak due to plasmon excitation was observed within the energy loss around 17 eV. Combined with IXS data of crystalline Si measured at several elevated temperatures, it was found that temperature dependence of the excitation energy in the crystalline solid state is explained by the electron gas including the band gap effect, whereas in the metallic liquid state near the melting point, it exhibits a departure from the electron gas; the plasmon energy takes a lower value than that of the electron gas. Such lowering of plasmon energies is reasonably explained by a model incorporating semiconducting component to the electron gas. Non-simple metallic nature in liquid silicon is highlighted by the observation of electron collective dynamics.
Nonlinear characterization of enhanced and generalized Hjorth’s feature space for bearing condition monitoring
Authors: Li Wei , Wang Yi , Lv Feng , Zhang Guangyao , Ding Jiakai 
Published: October 2023

Abstract
The degradation assessment of rolling bearings provides a reasonable maintenance plan for the safe operation of mechanical equipment. The general strategy for bearing condition monitoring is to construct a health indicator (HI) to characterize different degradation stages. A preferable HI that can sensitively detect initial faults and track machine degradation is crucial to developing timely maintenance strategies for mechanical equipment to avoid catastrophic accidents. However, many developed and reported HIs are still insensitive to early faults, resulting in delayed maintenance schedules. To identify the incipient defects as early as possible, a novel HI constructed by nonlinear characterization of enhanced and generalized Hjorth’s feature space based on extended probability entropy is proposed in this paper. Firstly, the time-frequency spectral amplitude modulation helps to enhance the characteristics of the original signal with the amplitude editing in the time-frequency domain. Then, three new features of generalized Hjorth’s parameter combinations are designed and combined with other similar feature combinations to construct a high-dimensional enhanced and generalized Hjorth’s feature space. On this basis, a set of low-dimensional sensitive features is obtained by nonlinearly characterizing high-dimensional features through extended probability entropy after these features are standardized. Finally, a novel HI is developed by calculating the distance between the minimum volume ellipse (MVE) center of the low-dimensional feature subspace based on nonlinear characterization and the low-dimensional feature vector of the real-time monitoring signal. The performance of the proposed approach is verified in three cases, whose experimental results indicate that the proposed HI is more sensitive and significant in detecting early faults compared to some current HIs.
A novel vision transformer network for rolling bearing remaining useful life prediction
Authors: Hu Aijun , Zhu Yancheng , Liu Suixian , Xing Lei , Xiang Ling 
Published: October 2023

Abstract
The accurate predictions of remaining useful life (RUL) have become a key and extremely challenging problem. Due to the limitations of the classical convolutional neural network and recurrent neural network structure, the attention mechanism has been introduced to improve feature representation of the long-term bearing degradation data. Transformer network based on attention mechanism is successfully applied in many fields and recognized as an excellent creation for deep learning models. In this paper, a novel lightweight mobile vision transformer (MobileViT) architecture based on deep networks is proposed for the RUL predictions. This new network is named prognostics separable vision Transformer (ProgSViT), which combines the separable convolution and MobileViT. In ProgSViT network, the separable convolutions are first constructed for extracting local feature from the input vibration signal, and the new vision transformer architecture is proposed to learn the global feature representations. In improved MobileViT model, the loss function is optimized, and a new training strategy is provided. Finally, the obtained features are input to the global average pool layers and the full connection layers to perform RUL estimation. Experiment results present the proposed ProgSViT network surpasses the other models in RUL predicting, which possesses higher precision and computational efficiency.
Bidimensional local characteristic-scale decomposition and its application in gear surface defect detection
Authors: Liu Dongxu , Cheng Junsheng , Wu Zhantao 
Published: October 2023

Abstract
Visual image-based inspection methods can directly reflect the type of defects on the surface of gears. However, these methods have many problems: firstly, as a two-dimensional signal, the data volume of images is large and the processing is relatively time-consuming. Although some existing image signal processing methods (e.g. bidimensional empirical mode decomposition (BEMD)) have good decomposition results, their decomposition speed is slow. The bidimensional local characteristic-scale decomposition (BLCD) method is proposed in this paper, which adaptively decomposes an image from high to low frequencies into several bidimensional intrinsic scale components. It is demonstrated that the BLCD method maintains the advantages of the BEMD method in terms of good decomposition ability and adaptive capability while significantly reducing the processing time and improving the computational efficiency. Secondly, in the running state of the gears, the obtained images sometimes contain noise, which is not convenient for detecting surface defect types. A gear surface defect detection method based on BLCD image denoising is proposed in this paper. Firstly, it uses the BLCD denoising module for preprocessing to provide high signal-to-noise ratio images for the subsequent detection module, and then uses the detection module for defect identification and classification. Experiments prove that the BLCD denoising module has excellent performance and it is well coupled with the detection module, giving the whole method higher accuracy and stability than other classification methods.
Van der Waals heterostructure gas sensors based on narrow–wide bandgap semiconductors for superior sensitivity
Authors: Gan Wei , Jiang Ming , Liu Yucheng , Ming Li , Xiao Ruichun , Tang Xi , Liu Yu , Long Dunxu , Zhao Changhui , Li Hui 
Published: October 2023

Abstract
Achieving high sensitivity in gas sensors is crucial for the precise detection of toxic agents. However, this can be challenging as it requires gas sensors to possess both a high response signal and low electrical noise simultaneously, which seems controversial as it necessitates adopting semiconductors with different bandgaps. Herein, we demonstrate the superior sensitivity of 2D molybdenum disulfide (MoS2)/tellurium (Te) van der Waals heterostructure (vdWH) gas sensors fabricated by combining narrow-bandgap (Te) and wide-bandgap (MoS2) semiconductors. The as-fabricated MoS2/Te vdWH gas sensors exhibit excellent sensitivity that is unavailable for sensors based on its individual counterparts. The response toward 50 ppm NH3 is improved by two and six times compared to the individual MoS2 and Te gas sensors, respectively. In addition, a high signal-to-noise ratio of ∼350 and an ultralow limit of detection of ∼2 ppb are achieved. These results outperform most previously reported gas sensors due to the efficient modulation of the barrier height of the MoS2/Te p–n junction as well as the synergistic effect benefiting from the low electric noise of the narrow-bandgap Te and high response signal of the wide-bandgap MoS2. Our work provides an insight into utilizing vdWHs based on narrow–wide bandgap semiconductors for developing highly sensitive gas sensors.
P–N heterojunction NiO/ZnO nanowire based electrode for asymmetric supercapacitor applications
Authors: Ahmad Reyaz , Sohail Aamir , Yousuf Mahvesh , Majeed Asif , Mir Arshid , Aalim Malik , Shah M A 
Published: October 2023

Abstract
Nickel-based oxides are selected for their inexpensive cost, well-defined redox activity, and flexibility in adjusting nanostructures via optimization of the synthesis process. This communique explores the field of energy storage for hydrothermally synthesized NiO/ZnO nanowires by analysing their capacitive behaviour. The p-type NiO was successfully built onto the well-ordered mesoporous n-type ZnO matrix, resulting in the formation of p–n heterojunction artefacts with porous nanowire architectures. NiO/ZnO nanowire-based electrodes exhibited much higher electrochemical characteristics than bare NiO nanowires. The heterojunction at the interface between the NiO and ZnO nanoparticles, their specific surface area, as well as their combined synergetic influence, are accountable for the high specific capacitance (C
s) of 1135 Fg−1 at a scan rate of 5 mV s−1. NiO/ZnO nanowires show an 18% dip in initial capacitance even after 6000 cycles, indicating excellent capacitance retention and low resistance validated by electrochemical impedance spectroscopy. In addition, the specific capacitance, energy and power density of the solid state asymmetric capacitor that was manufactured by employing NiO/ZnO as the positive electrode and activated carbon as the negative electrode were found to be 87 Fg−1, 23 Whkg−1 and 614 Wkg−1, respectively. The novel electrode based on NiO/ZnO demonstrates excellent electrochemical characteristics all of which point to its promising application in supercapacitor devices.
Bibliometric analysis of aptamer-conjugated nanoparticles for diagnosis in the last two decades
Authors: Liu Mao-Sheng , Zhong Si-Si , Jiang Song , Wang Ting , Zhang Kun-He 
Published: October 2023

Abstract

Objective. Aptamer-conjugated nanoparticles for diagnosis have recently gained increasing attention. Here, we performed a bibliometric analysis to provide an overview of this field over the past two decades. Methods. The terms ‘aptamer, nanoparticles and diagnosis’ were used to search for relevant original articles published in English from 2003 to 2022 in the Web of Science database. VOSviewer and CiteSpace software were employed to analyze the development process, knowledge structure, research hotspots, and potential trends in the field of aptamer-conjugated nanoparticles for diagnosis. Results. A total of 1076 original articles were retrieved, with a rapid increase in the annual output and citation. The journal ‘Biosensors and Bioelectronics’ has contributed the most in this field, and the most influential researcher, institution and country were Weihong Tan, the Chinese Academy of Sciences, China, respectively. Gold nanoparticles and quantum dots were the most used, but in the past three years, research hotspots focused on carbon dots and graphene quantum dots. Diagnostic directions primarily focused on cancer. The most used strategy was label-free electrochemical detection, but in the past two years, colorimetric analysis and fluorescence imaging emerged as hot topics. Conclusion. The bibliometric analysis reveals a rapid increase in the research on aptamer-conjugated nanoparticles for diagnosis, major contributors at the levels of journals, authors, institutions, and countries, and research preferences in diagnostic objects, nanoparticle types, and detection methods, as well as the evolution of research hotspots and future trends.
Ultrafast and ultrastable FeSe2 embedded in nitrogen-doped carbon nanofibers anode for sodium-ion half/full batteries
Authors: Chen Chen , Hu Qilin , Xue Hongyu , Li Han , Li Wenkai , Cao Shuai , Peng Tao , Yang Ya , Luo Yongsong 
Published: October 2023

Abstract
Transition metal selenides are considered as promising anode materials for fast-charging sodium-ion batteries due to their high theoretical specific capacity. However, the low intrinsic conductivity, particle aggregation, and large volume expansion problems can severely inhibit the high-rate and long-cycle performance of the electrode. Herein, FeSe2 nanoparticles embedded in nitrogen-doped carbon nanofibers (FeSe2@NCF) have been synthesized using the electrospinning and selenization process, which can alleviate the volume expansion and particle aggregation during the sodiation/desodiation and improve the electrical conductivity of the electrode. The FeSe2@NCF electrode delivers the outstanding specific capacity of 222.3 mAh g−1 at a fast current density of 50 A g−1 and 262.1 mAh g−1 at 10 A g−1 with the 87.8% capacity retention after 5000 cycles. Furthermore, the Na-ion full cells assembled with pre-sodiated FeSe2@NCF as anode and Na3V2(PO4)3/C as cathode exhibit the reversible specific capacity of 117.6 mAh g−1 at 5 A g−1 with the 84.3% capacity retention after 1000 cycles. This work provides a promising way for the conversion-based metal selenides for the applications as fast-charging sodium-ion battery anode.