bluuebunny/crossref_metadata_2025_split huggingface dataset:
Skull and Scalp En-Bloc Harvest Protects Calvarial Perfusion: A Cadaveric Study
Authors: Lopez Christopher D. , Girard Alisa O. , Lake Isabel V. , Suresh Visakha , Abdou Hossam , Morrison Jonathan J. , Yang Robin , Gordon Chad R. , Redett Richard J. 
Published: July 2023

Abstract
Background Calvarial defects are severe injuries that can result from a wide array of etiologies. Reconstructive modalities for these clinical challenges include autologous bone grafting or cranioplasty with biocompatible alloplastic materials. Unfortunately, both approaches are limited by factors such as donor site morbidly, tissue availability, and infection. Calvarial transplantation offers the potential opportunity to address skull defect form and functional needs by replacing “like-with-like” tissue but remains poorly investigated.
Methods Three adult human cadavers underwent circumferential dissection and osteotomy to raise the entire scalp and skull en-bloc. The vascular pedicles of the scalp were assessed for patency and perfused with color dye, iohexol contrast agent for computed tomography (CT) angiography, and indocyanine green for SPY-Portable Handheld Imager assessment of perfusion to the skull.
Results Gross changes were appreciated to the scalp with color dye, but not to bone. CT angiography and SPY-Portable Handheld Imager assessment confirmed perfusion from the vessels of the scalp to the skull beyond midline.
Discussion/Conclusion Calvarial transplantation may be a technically viable option for skull defect reconstruction that requires vascularized composite tissues (bone and soft tissue) for optimal outcomes.
Surface passivation of sequentially deposited perovskite solar cells by octylammonium spacer cations
Authors: Loizos Michalis , Tountas Marinos , Mangelis Panagiotis , Rogdakis Konstantinos , Kymakis Emmanuel 
Published: July 2023

Effective passivation of defects is an important step toward achieving highly efficient and stable Perovskite Solar Cells (PSCs). In this work, we introduce the incorporation of two different octylammonium based spacer cations as 2D perovskite passivation layers, namely Octylammonium Bromide (OABr) and octylammonium iodide. PSCs with OABr as a 2D passivation layer demonstrated an enhanced Power Conversion Efficiency (PCE) of 21.40% (the control device has a PCE of 20.26%), resulting in a higher open circuit voltage of 40 mV. The 2D perovskite passivation layers lead to a smoother interface and a better contact with the hole transport layer, while transient photoluminescence and transient photovoltage measurements indicated reduced non-radiative recombination. Unencapsulated devices retained almost 90% of their initial PCE after 500 h of exposure under high ambient humidity conditions, confirming that the surface passivation treatment has led to improved device stability.
Integral back-stepping active disturbance rejection control for piezoelectric stick-slip drive nanopositioning stage
Authors: Liu Keping , Yu Shuai , Zhang Zhenguo , Fan Piao , Cheng Tinghai , Lu Xiaohui 
Published: July 2023

Piezoelectric stick-slip driven nanopositioning stage (PSSNS) with nanometer resolution has been widely used in the field of micro-operation. However, it is difficult to achieve nanopositioning over large travel, and its positioning accuracy is affected by the hysteresis characteristics of the piezoelectric elements, external uncertain disturbances, and other nonlinear factors. To overcome the above-mentioned problems, a composite control strategy combining stepping mode and scanning mode is proposed in this paper, and an integral back-stepping linear active disturbance rejection control (IB-LADRC) strategy is proposed in the scanning mode control phase. First, the transfer function model of the system in the micromotion part was established, and then the unmodeled part of the system and the external disturbance were treated as the total disturbance and extended to a new system state variable. Second, a linear extended state observer was used as the core of the active disturbance rejection technique to estimate displacement, velocity, and total disturbance in real time. In addition, by introducing virtual control variables, a new control law was designed to replace the original linear control law and improve the positioning accuracy and robustness of the system. Furthermore, the effectiveness of the IB-LADRC algorithm was verified by simulation comparison experiments and experimentally validated on a PSSNS. Finally, experimental results show that the IB-LADRC is a practical solution for a controller capable of handling disturbances during the positioning of a PSSNS with a positioning accuracy of less than 20 nm, which essentially remains constant under load.
Universal magnetic proximity effect in ferromagnet–semiconductor quantum well hybrid structures
Authors: Kalitukha I. V. , Yalcin E. , Ken O. S. , Korenev V. L. , Akimov I. A. , Harkort C. , Dimitriev G. S. , Kudlacik D. , Sapega V. F. , Nedelea V. , Zhukov E. A. , Yakovlev D. R. , Banshchikov A. G. , Kaveev A. K. , Karczewski G. , Wojtowicz T. , Müller M. , Bayer M. 
Published: July 2023

Hybrid ferromagnet–semiconductor systems possess new outstanding properties, which emerge when bringing magnetic and semiconductor materials into contact. In such structures, the long-range magnetic proximity effect couples the spin systems of the ferromagnet and semiconductor on distances exceeding the carrier wave function overlap. The effect is due to the effective p–d exchange interaction of acceptor-bound holes in the quantum well with d-electrons of the ferromagnet. This indirect interaction is established via the phononic Stark effect mediated by the chiral phonons. Here, we demonstrate that the long-range magnetic proximity effect is universal and observed in hybrid structures with diverse magnetic components and potential barriers of various thicknesses and compositions. We study hybrid structures consisting of a semimetal (magnetite Fe3O4) or dielectric (spinel NiFe2O4) ferromagnet and a CdTe quantum well separated by a nonmagnetic (Cd,Mg)Te barrier. The proximity effect is manifested in the circular polarization of the photoluminescence corresponding to the recombination of photoexcited electrons with holes bound to shallow acceptors in the quantum well induced by magnetite or spinel itself, in contrast to interface ferromagnet in case of metal-based hybrid systems. A nontrivial dynamics of the proximity effect is observed in the studied structures due to recombination-induced dynamic polarization of electrons in the quantum well. It enables the determination of the exchange constant Δexch ≈ 70 μeV in a magnetite-based structure. The universal origin of the long-range exchange interaction along with the possibility of its electrical control offers prospects for the development of low-voltage spintronic devices compatible with existing solid-state electronics.
Coherent two-dimensional THz magnetic resonance spectroscopies for molecular magnets: Analysis of Dzyaloshinskii–Moriya interaction
Authors: Zhang Jiaji , Tanimura Yoshitaka 
Published: July 2023

To investigate the novel quantum dynamic behaviors of magnetic materials that arise from complex spin–spin interactions, it is necessary to probe the magnetic response at a speed greater than the spin-relaxation and dephasing processes. Recently developed two-dimensional (2D) terahertz magnetic resonance (THz-MR) spectroscopy techniques use the magnetic components of laser pulses, and this allows investigation of the details of the ultrafast dynamics of spin systems. For such investigations, quantum treatment—not only of the spin system itself but also of the environment surrounding the spin system—is important. In our method, based on the theory of multidimensional optical spectroscopy, we formulate nonlinear THz-MR spectra using an approach based on the numerically rigorous hierarchical equations of motion. We conduct numerical calculations of both linear (1D) and 2D THz-MR spectra for a linear chiral spin chain. The pitch and direction of chirality (clockwise or anticlockwise) are determined by the strength and sign of the Dzyaloshinskii–Moriya interaction (DMI). We show that not only the strength but also the sign of the DMI can be evaluated through the use of 2D THz-MR spectroscopic measurements, while 1D measurements allow us to determine only the strength.
PhotoCORMs based on zinc(ii)-flavonol derivatives with superior biological properties for use in living organisms
Authors: Sun Le , An Siying , Wei Dong , Zhang Ronglan , Zhao Jianshe 
Published: July 2023

CO is an important gas signal molecule and plays an indispensable role in the maintenance of cell homeostasis. Herein, photoinduced CO-releasing molecules (photoCORMs), that combine the effects of zinc(ii) and different ligands including flavonol derivatives and tripod pyridyl compounds, are reported. The photoCORMs can release about one equivalent of CO, and the solid samples are stabile for more than 90 days in air. Cytotoxicity tests suggest that photoCORMs possess low toxicity and have the potential to be used in organisms. The intracellular uptake and photoreactivity of photoCORM 3a, with low toxicity and a rapid CO-release rate, were studied in HeLa cells. The results indicate that 3a could successfully penetrate the cell membrane and enter the cytoplasm. More importantly, it is further demonstrated that 3a can successfully release CO in HeLa cells, which is detected using intracellular CO sensors. Based on the cell study, the same result was found when the photoinduced CO release of 3a in Kunming mice was studied utilizing a carboxyhemoglobin kit. This study is of great significance for the development of new valuable CO donors that can be applied to organisms to exert their biological effects.
The role of musical improvisation in the development of creative thinking in children (El rol de la improvisación musical en el desarrollo del pensamiento creativo infantil)
Authors: Zhang Chunfeng 
Published: July 2023

This study examines the role of musical improvisation in the development of creative thinking in children studying at Harbin No. 3 Secondary School (Harbin, Heilongjiang Province, China). The creative thinking of two groups (experimental and control) was examined through pre- and post-tests aimed at musical creativity measurement and assessing the effectiveness of musical improvisation in the development of musical creativity. The post-test mean and standard deviations of each musical creativity factor in the experimental group showed an increase in four factors: musical extensiveness (by 65%), musical flexibility (by 37%), musical originality (by 34%) and musical syntax (by 42%). All correlations between the MCTM factors were significant ( p < .01), demonstrating that the four factors are representative of creative thinking. The research is of practical and scientific significance as it proves the factor of the influence of musical improvisation on the development of creative skills in children. The research results can be applied by schools and other educational institutions that are interested in increasing the indicators of creativity of their students.
Gluing variations
Authors: Chruściel Piotr T , Cong Wan 
Published: July 2023

Abstract
We establish several results on gluing/embedding/extending geometric structures in vacuum spacetimes with a cosmological constant in any spacetime dimensions

d
⩾
4

, with emphasis on characteristic data. A useful tool is provided by the notion of submanifold-data of order k. As an application of our methods we prove that vacuum Cauchy data on a spacelike Cauchy surface with boundary can always be extended to vacuum data defined beyond the boundary.
Spinorial Wheeler–DeWitt wave functions inside black hole horizons
Authors: Kan Nahomi , Aoyama Takuma , Shiraishi Kiyoshi 
Published: July 2023

Abstract
We revisit the solutions of the Wheeler–DeWitt (WDW) equation inside the horizons of spherical black holes and planar topological black holes in arbitrary dimensions. For these systems, the solutions of the equations are found to have the same form. Therefore, Yeom’s Annihilation-to-nothing interpretation can be applied to each case. We have introduced the Dirac-type WDW equations into quantum cosmology in a recent paper, so we also apply our formulation to the quantum theory of the interior of the black hole in order to obtain the solution of the spinorial wave function. The shape of the wave packet of the spinorial WDW wave function indicates that the variation of Yeom’s interpretation holds in this scheme.
Crosstalk-free large aperture electromagnetic 2D micromirror for LiDAR application
Authors: Ghazinouri Behrad , He Siyuan 
Published: July 2023

Abstract
This paper presents a novel design of a 2D electromagnetic micromirror without crosstalk. The proposed micromirror uses a flexible printed circuit board (FPCB) and four layers of coils embedded in the polyimide layers. The insulated layers of the coil allow for independent actuation of the mirror plate to rotate about two orthogonal axes. The diamond shaped micromirror uses a hyperbola-shaped magnetic field on the coils under the mirror plate and a 45-degrees magnetic field on the coils embedded in the FPCB frame to eliminate the mechanical crosstalk. Finite element analysis was used to predict the novel 2D micromirror’s behavior. The novel 2D micromirror prototype is used in scanning LiDAR, The results indicate that the crosstalk-free pattern yielded significantly clearer results, particularly for detecting object boundaries and reducing barrel distortion. The experimental test has verified the novel crosstalk-free 2D micromirror working principle and showed good scanning quality: no crosstalk and an improvement in the horizontal field of view up to 19% But with the cost of reducing the vertical field of view by up to 12%. The novel 2D micromirror prototype has a large aperture of 19 × 19 mm2, which is very suitable for coaxial scanning LiDAR.
Triple differential cross sections for single ionization of an atom by bare ion impact
Authors: Purkait K , Mondal M , Haque A , Mandal B , Purkait M 
Published: July 2023

Abstract
We present triple differential cross sections (TDCSs) for single ionization of atoms by proton and highly charged bare ions impact by means of the three-body formalism of the first Born, two-Coulomb wave and three-Coulomb (3C) wave (3CW) methods, respectively. The TDCS has been calculated both in the scattering and perpendicular planes. The purpose of this work is to investigate the validity of different methods as well as the role of interaction between projectile and residual-target-ion in the final state for weak perturbation strength with low electron emission energy at several momentum transfers. By comparing our calculations with experimental data, overall, the 3CW predicts better agreement with experiments than other calculations in the scattering plane. In the perpendicular plane, all calculations deviate from experimental data with increasing transverse momentum transfer for p − He collision. At low momentum transfer, the location of binary peak obtained by the first Born approximation calculation is well established with the experiment for proton impact. On the other hand, the 3CW model is in much better agreement with experiments, both in absolute values and peak position for highly charged impact. Finally, the strong influence of the internuclear Coulomb distortion on TDCS has been observed at low and intermediate momentum transfer.
Synthetically encapsulated & self-organized transition metal oxide nano-structures inside carbon nanotubes as robust: Li-ion battery anode materials
Authors: Kapoor Aakanksha , Patrike Apurva L , Singh Nitesh , Thauer Elisa , Ottmann Alexander , Klingeler Rüdiger , Ogale Satishchandra , Bajpai Ashna 
Published: July 2023

Abstract
We report a comparative study on the electrochemical performance of four different transition metal oxides encapsulated inside carbon nanotubes (oxides@CNT), along with reference data obtained on a bare-oxide. A key result here is that the encapsulation leads to superior cyclic stability, irrespective of the type of the oxide-encapsulate. This comparison also enables us to isolate the advantages associated with the encapsulation of oxide within the core cavity of CNT, as opposed to the case of oxide/CNT composites, in which oxide resides outside the CNT. Innovative use of camphor during sample synthesis enables precise control over the morphology of the filled CNT, which can either be in aligned-forest or in entangled geometry. The morphology appears to play a crucial role in tuning the magnitude of the specific capacity, whereas the encapsulation relates to the cyclic stability. Overall, the electrochemical data on various oxides@CNT bring forward interesting inferences pertaining to the morphology, filling fraction of the oxide-encapsulate, and the presence of oxide nano-particles adhering outside the CNT. Our results provide useful pointers for optimization of these critical parameters, thus paving the way for oxide@CNT for practical electrochemical applications.
Polarization independent lattice-coupled terahertz toroidal excitation
Authors: Bhattacharya Angana , Singh Chouhan Bhagwat , Singh Rajan , Bhowmik Bhairov K , Kumar Gagan 
Published: July 2023

Abstract
The toroidal dipole excitation is important for metamaterial research because of its low-loss attribute. In this study, we demonstrate numerically and experimentally, a unique toroidal metasurface that modulates a broad resonance into a sharp mode, independent of the polarization of the incident terahertz (THz) radiation, by coupling the inherent toroidal dipole excitation to the lattice mode of the metasurface. The advantage of polarization independence enables the excitation of ‘lattice-coupled toroidal mode’ for both the orthogonally polarized states of the incident THz radiation in the metasurface. The interaction of the two resonances results in the enhancement of the quality factor of the metasurface at the point of resonance matching. The surface current profile as well as multipole analysis of scattered powers by electric, magnetic, and toroidal dipoles confirm the domineering effect of toroidal dipole excitation for both the polarization states of incident THz radiation. Such a lattice-matched toroidal excitation-based device has the potential to impact the development of polarization-independent THz components for ultrasensitive sensors, lattice-enhanced equipment, and slow light devices for light–matter interaction.
Quantitative analysis and evaluation of the optimization method of transformer partial discharge ultrasonic sensor monitoring
Authors: Jiang Youhua , Shang Xingsen , Jiang Xiangwei , Chen Bo 
Published: July 2023

Abstract
Accurate partial discharge (PD) measurement is critical to ensure the stable operation of transformers. The ultrasonic method is a low-cost, safe, and reliable technology that is widely available and provides real-time monitoring capability. The PD ultrasonic signals propagation is complex and severely attenuated in the transformer, which greatly affects the measurement accuracy of the sensor. In order to improve the accurate monitoring of PD in complicated transformer environments, an optimization monitoring method based on sub-scene detection and quantitative analysis and evaluation is proposed in this paper. Firstly, to address this concern, a sub-scene monitoring method is designed and explores the optimal monitoring points separately. In addition, establish the partition model of an oil-immersed power transformer, and compare the ultrasonic wave propagation characteristics and sound pressure attenuation characteristics of different monitoring points. Then, analyzed by wavelet transform algorithm and Pearson correlation coefficient to determine the best monitoring point location for each scene. Finally, we further tested the proposed method through extensive experiments based on simulations, testbed, and trial deployment. The experimental results have demonstrated the feasibility and accuracy of the proposed method in transformer PD monitoring under complicated environments.
Prior knowledge-based residuals shrinkage prototype networks for cross-domain fault diagnosis
Authors: Hu Junwei , Li Weigang , Zheng Xiujuan , Tian Zhiqiang , Zhang Yong 
Published: July 2023

Abstract
In engineering practice, device failure samples are limited in the case of unexpected catastrophic faults, thereby limiting the application of deep learning in fault diagnosis. In this study, we propose a prior knowledge-based residual shrinkage prototype network to resolve the fault diagnosis challenges under limited labeled samples. First, our method combines general supervised learning and metric meta-learning to extract prior knowledge from the labeled source data by utilizing a denoised residual shrinkage network. Further, the knowledge extracted from the supervised learning is used for prototype metric training to achieve a better feature representation for the fault diagnosis. Finally, our approach outperforms a series of baseline methods in the few-shot cross-domain diagnostic task on the gearbox and bearing datasets. A diagnosis accuracy of more than 95% has been achieved in a variety of working conditions for diagnostic tasks, which is far higher than the existing basic method.
ConTriFormer: triggers-guided contextual informer for remaining useful life prediction of rolling bearings
Authors: Pang Bin , Hua Zhenghao , Zhao Dekuan , Xu Zhenli 
Published: July 2023

AbstractRolling bearings are critical components in many industrial fields, and their stability directly affects the performance and safety of the industrial equipment. Accurate prediction of remaining useful life (RUL) of rolling bearings is a heated topic in modern research. Traditional strategies are unable to efficiently exploit the significant features of the data, resulting in the inability to determine the starting time of prediction along with a reduced prediction accuracy. Accordingly, this paper proposes a novel data-driven prediction model named ConTriFormer, which incorporates multi-feature triggers focusing on various scales of input signals, and the ConvNeXt V2 sparse convolution strategy within the contextual Informer architecture for estimating RUL. Firstly, significant feature indicators of the original data are calculated to construct feature triggers, resulting in a multi-feature fusion. Secondly, the starting time for prediction is obtained through quantified results from fault-sensitive triggers. Thirdly, the original signal with triggers embedded is encoded and organized into sparse matrices to facilitate the simplification of subsequent computations. Sparse features and dynamic context information reflecting bearing state changes are obtained through ConvNeXt V2 sparse convolution, which is input into the Informer structure with contextual attentive structures inside for better adaptability to long time-span dynamic data and lower spatiotemporal complexity for feature mining and prediction. Finally, the prediction results are obtained by mapping output values to the remaining life through a fully connected layer. The proposed algorithm is compared with mainstream deep learning algorithms such as Bi-LSTM and Convolutional Transformer using the XJTU-SY dataset and PHM 2012 dataset, and the effectiveness of model is verified with ablation study. Results show that, the proposed method can more accurately predict RUL, providing a high-precision and intelligent method for prognostics health management of rolling bearings.