bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enrichment of human embryonic stem cell-derived V3 interneurons using an Nkx2-2 gene-specific reporter
Authors: Berzanskyte Ieva , Riccio Federica , Machado Carolina Barcellos , Bradbury Elizabeth J. , Lieberam Ivo 
Published: February 2023

AbstractV3 spinal interneurons are a key element of the spinal circuits, which control motor function. However, to date, there are no effective ways of deriving a pure V3 population from human pluripotent stem cells. Here, we report a method for differentiation and isolation of spinal V3 interneurons, combining extrinsic factor-mediated differentiation and magnetic activated cell sorting. We found that differentiation of V3 progenitors can be enhanced with a higher concentration of Sonic Hedgehog agonist, as well as culturing cells in 3D format. To enable V3 progenitor purification from mixed differentiation cultures, we developed a transgene reporter, with a part of the regulatory region of V3-specific gene Nkx2-2 driving the expression of a membrane marker CD14. We found that in human cells, NKX2-2 initially exhibited co-labelling with motor neuron progenitor marker, but V3 specificity emerged as the differentiation culture progressed. At these later differentiation timepoints, we were able to enrich V3 progenitors labelled with CD14 to ~ 95% purity, and mature them to postmitotic V3 interneurons. This purification tool for V3 interneurons will be useful for in vitro disease modeling, studies of normal human neural development and potential cell therapies for disorders of the spinal cord.
Yoghurt as a deglutition aid for oral medication: effects on famotidine powder dissolution rate and pharmacokinetics
Authors: Gotoh Yayoi , Tabata Yoshiyuki , Sugiura Shinya , Obara Michiko , Tomita Takashi , Suzuki Toshio 
Published: February 2023

AbstractDeglutition aid foods are used to help patients with dysphagia take oral medications. Yoghurt is occasionally used to help swallow medications; however, its influence on pharmacokinetics is poorly understood. Yoghurt made with Lactococcus cremoris subsp. cremoris FC has a characteristic viscous texture that facilitates bolus formation and deglutition due to its metabolite exopolysaccharide. We assessed yoghurt prepared with L. cremoris FC as a food deglutition aid. We performed a dissolution test using famotidine powder mixed with yoghurt and a food thickener. Famotidine dissolution rates without deglutition-assisting foods and with yoghurt or food thickener were 102.3 ± 1.7, 85.7 ± 4.6, and 46.4 ± 1.1% after 15 min, respectively. Next, we orally administered famotidine powder with water, yoghurt, and food thickener to rats and measured plasma famotidine levels. We observed no significant differences between all test groups. The Tmax of famotidine mixed with a food thickener was significantly lower than that with yoghurt. These results suggest that yoghurt with L. cremoris FC did not remarkably affect the dissolution and pharmacokinetic profiles of famotidine powder. Thus, the administration of famotidine with yoghurt might be a suitable alternative to powder administration as a deglutition aid for patients.
Exploring the impact of temperature and oxygen partial pressure on the spent nuclear fuel oxidation during its dry management
Authors: Milena-Pérez A. , Bonales L. J. , Rodríguez-Villagra N. , Galán H. 
Published: February 2023

AbstractThe management of Spent Nuclear Fuel (SNF) comprises different stages in which security is demonstrated. Nevertheless, fundamental research can lead to other design options that must be considered. Currently, one of the focuses is the dry interim storage option, as the shortest-term solution until final repositories are available. During this stage, one concern is the oxidation of the fuel. If UO2 (SNF matrix) is exposed to air at high-enough temperature, formation of U3O8 takes place. The larger volume of this phase could entail stresses on the SNF clad, which is the first barrier to prevent radioactive material release. It is known that this oxidation is a temperature-dependent reaction and ensuring an inert atmosphere discards any effect during SNF dry management. However, at what extent temperature and oxygen concentration would have an impact on the U3O8 formation is not established, being the available experimental data very scarce. We follow this oxidation in representative ranges of temperature and oxygen concentration of dry storage facilities by using in-situ Raman spectroscopy. The results show that temperature is a more-affecting factor than the oxygen concentration at the studied conditions. Therefore, efforts to limit temperatures would yield more benefits in preserving fuel matrix integrity.
Towards precision medicine based on a continuous deep learning optimization and ensemble approach
Authors: Li Jian , Jin Linyuan , Wang Zhiyuan , Peng Qinghai , Wang Yueai , Luo Jia , Zhou Jiawei , Cao Yingying , Zhang Yanfen , Zhang Min , Qiu Yuewen , Hu Qiang , Chen Liyun , Yu Xiaoyu , Zhou Xiaohui , Li Qiong , Zhou Shu , Huang Si , Luo Dan , Mao Xingxing , Yu Yi , Yang Xiaomeng , Pan Chiling , Li Hongxin , Wang Jingchao , Liao Jieke 
Published: February 2023

AbstractWe developed a continuous learning system (CLS) based on deep learning and optimization and ensemble approach, and conducted a retrospective data simulated prospective study using ultrasound images of breast masses for precise diagnoses. We extracted 629 breast masses and 2235 images from 561 cases in the institution to train the model in six stages to diagnose benign and malignant tumors, pathological types, and diseases. We randomly selected 180 out of 3098 cases from two external institutions. The CLS was tested with seven independent datasets and compared with 21 physicians, and the system’s diagnostic ability exceeded 20 physicians by training stage six. The optimal integrated method we developed is expected accurately diagnose breast masses. This method can also be extended to the intelligent diagnosis of masses in other organs. Overall, our findings have potential value in further promoting the application of AI diagnosis in precision medicine.
Fault analysis of converter interfaced generator embedded power system considering control mode switching
Authors: Li Jiapeng , Li Yujun , Zhang Xu , Yuan Xiaotian , Du Zhengchun 
Published: February 2023

AbstractConverter interfaced generation (CIG) may switch into different control modes under different fault scenarios, which poses a significant challenge to the fault calculation of modern power systems. This paper first establishes a reduced fault analysis model of CIG considering control mode switching. By neglecting the fast dynamic processes of the converter controller, CIG with each control mode can be expressed by equality and inequality constraints. Then, an alternative iteration algorithm is proposed to determine the control mode of each grid‐tied converter after fault, which mainly contains the estimation and discrimination steps. In the estimation step, the voltage of the point of common coupling (PCC) and output current of CIG are obtained by simultaneously solving the equality constraints of CIG and the reduced network equation. In the discrimination step, the inequality constraints of CIG are utilized to judge and revise the control mode of each converter. With alternative execution of the estimation and discrimination steps, the fault network can be solved. Simulation studies based on PSCAD/EMTP validate that the proposed method has high accuracy in fault calculation of the CIG embedded system under various fault locations and fault resistances.
Multimodal cooperative self‐attention network for action recognition
Authors: Zhong Zhuokun , Hou Zhenjie , Liang Jiuzhen , Lin En , Shi Haiyong 
Published: February 2023

AbstractMultimodal human behaviour recognition is a research hotspot in computer vision. To fully use both skeleton and depth data, this paper constructs a new multimodal network identification scheme combined with the self‐attention mechanism. The system comprises a transformer‐based skeleton self‐attention subnetwork and a depth self‐attention subnetwork based on CNN. In the skeleton self‐attention subnetwork, this paper proposes a motion synergy space feature that can integrate the information of each joint point according to the entirety and synergy of human motion and puts forward a quantitative standard for the contribution degree of each joint motion. In this paper, the results from the skeleton self‐attention subnetwork and the depth self‐attention subnetwork are integrated and they are verified on the NTU RGB+D and UTD‐MHAD datasets. The authors have achieved 90% recognition rate on UTD‐MHAD dataset, and the CS recognition rate of the authors’ method on the NTU RGB+D dataset reaches 90.5% and the recognition rate of CV is 94.7%. Experimental results show that the network structure proposed in this paper achieves a high recognition rate, and its performance is better than most current methods.
Rediscovering the observations of solar prominences from 1906 to 1957 recorded at the Madrid Astronomical Observatory
Authors: Aparicio Alejandro Jesús Pérez , Carrasco Víctor , Gallego María Cruz , Vaquero José Manuel 
Published: February 2023

The Madrid Astronomical Observatory implemented a solar observation program from 1876 to 1986. In addition to sunspots, the observers at this observatory recorded other solar features such as prominences. In this work, we have consulted the documentary sources of the Madrid Astronomical Observatory (the information is not digitally available), digitized the records of the observers on the annual number of prominences, and constructed a homogeneous series of the total and hemispheric annual number of prominences with heights of 25″ and more for the period 1906–1957. To evaluate the quality of the data and assess their potential, we have compared the Madrid prominence series with the number of prominences recorded by the Astronomical Observatory of the University of Coimbra and other time series such as the sunspot number index, solar radio flux at 10.7 cm, and sunspot areas. We have also analyzed the hemispheric prominence numbers and the asymmetry index. We obtained the strongest correlation between Madrid and Coimbra prominence series (r = 0.7), whereas the correlations between the Madrid prominence series and the other solar activity time series are similar (r ≈ 0.6). In addition, we found that the correlation coefficient between the Madrid prominence series and the sunspot number is lower than that from the Coimbra prominence series and the sunspot number. We suggest that these differences are a consequence of the way prominences were counted in the Madrid Astronomical Observatory.
Preliminary Investigation into the Anticonvulsant, Sedative and Muscle Relaxant Effects of the Methanolic Extract of Capparis spinosa L. Leaves in Mice
Authors: Dugani Aisha Mohamed , Khasheba Sarah Saleh , Auzzi Abdurazag Abdulsalam 
Published: February 2023

Abstract
Background Capparis spinosa L is a Mediterranean plant. In Libya, the plant grows in rocky areas and at high altitudes. It is commonly used by the inhabitants of the Mediterranean region in their kitchen and treatment of many diseases.
Aim This study was undertaken to investigate the central nervous system depressant, anticonvulsant, and the muscle relaxant activities of orally administered methanolic extract from the leaves of C. spinosa L. (MECS) in mice.
Methods The oral administration of three doses of the MECS in mice (500, 1000, and 2000 mg/kg) were evaluated in the picrotoxin (PC)-induced convulsion model, ketamine-induced sleep, and rota rod test. Diazepam was used as a reference drug for comparison. Results were analyzed using SPSS program version 16. Data are presented as mean ± SEM, and compared using one-way ANOVA followed by Duncan's test. The significance level was set at p < 0.05
Results Oral administration of MECS (1000 and 2000 mg/kg) significantly prolonged the onset of seizures (p < 0.01) and produced dose-dependent protection against PC-induced seizures compared with the control group (12.5% and 50% protection, respectively). MECS significantly (p < 0.05) and dose dependently reduced ketamine sleep latency (from 3.16 ± 0.16 to a minimum of 1.5 ± 0.22 minutes) and prolonged ketamine-induced sleeping time (from 11.33 ± 1.99 to a maximum of 33.33 ± 0.95 minutes). In the accelerated rotarod test, MECS significantly (p < 0.01) decreased the riding time on the rotarod (from 128.83 ± 14.6 to a minimum of 1.83 ± 0.47 seconds) as compared with the normal saline control group.
Conclusion The results showed that the MECS possesses anticonvulsant, sedative, and muscle relaxant properties in mice.
Influence of nano-indentation depth on the elastic–plastic transformation of 6H-SiC simulated
Authors: Wu Nanxing , Jiang Peng , Zhang Huiling , Feng Xiaoyu , Zheng Qi 
Published: February 2023

To investigate the effect of nano-indentation depth on the elastic–plastic transition mechanism of 6H-SiC, the loading process of nano-indentation on a 6H-SiC⟨0001⟩ crystal surface is analyzed by using the molecular dynamics method. Diamond indenters and 6H-SiC amorphous nanolayers are constructed; Tersoff and Vashishta potential functions are established to describe the interactions between atoms; and simulated environmental factors, such as relaxation conditions, ensemble, and loading speed, are optimized. The stress distribution and internal deformation characteristics are analyzed by combining load–displacement curves, radial distribution curves, dislocation nucleation, and their evolutive processes. The load–displacement curve deviates from the theoretical value at a depth of 3.8 nm and enters the elastic to plastic transition phase, where the shear stresses generated by friction on the contact surfaces cause the atoms on the stacked layers in the elastic phase to move in a directional manner and form dislocations: edge-type dislocations connecting the two layer dislocations and horizontal spiral dislocations. The plastic deformation phase starts at a depth of 5.9 nm, the atoms keep migrating and reorganizing, the original dislocation rings break to form incomplete dislocations, and the new dislocations formed by the combination of partial edge-type dislocation rings expand internally until fracture. The formation and expansion of dislocations contribute to the elasto-plastic transformation of 6H-SiC, and amorphous states are found to be involved in the deformation process at both the indentation contact surface and the deformation layer. Moreover, there are differences in the direction of dislocation expansion due to the inhomogeneous stress distribution at the contact surface.
Carbon nanotube-based double-layer microporous cathode for micro-direct methanol fuel cell
Authors: Zhao Zhengang , Wang Jiankun , Liu Qingchan , Wang Ziteng , Zhang Jiahong 
Published: February 2023

The micro-direct methanol fuel cell (μDMFC) has the advantages of high energy density, high conversion efficiency, and simple structure, which brought vast application prospects in portable devices. However, some shortcomings still exist, such as low catalyst utilization and power density. This paper proposes a new cathode electrode structure for the μDMFC. The structure consists of a multi-walled carbon nanotube layer and a cathode double microporous layer (CD-MPL) prepared from carbon powder. The outer microporous layer (OMPL) is composed of multi-walled carbon nanotubes (MWCNTs), Nafion solution, and carbon powder, and the inner microporous layer (IMPL) is composed of carbon powder and polytetrafluoroethylene (PTFE). The experimental results show that the maximum power density of the μDMFC with a CD-MPL (CD-μDMFC) is 42.8 mW/cm2, which is 31.6% higher than that of the μDMFC with a cathode single microporous layer (CS-μDMFC). The pore size distribution of the OMPL of the CNT is measured by the mercury intrusion method. It can be seen that the distribution of pore size is wider and there are more pores with larger pore sizes, which are more conducive to the utilization of catalysts. The discharge experiment of the cell shows that the CD-μDMFC shows high discharge performance and fuel utilization at different concentrations. The double microporous layer (MPL) structure increases the porosity and pore range, broadens the three-phase interface for the reaction, and allows the catalyst to have more attachment sites. The existence of MWCNTs improves the conductivity and mass transfer capacity of the cathode.
Combinatorial dependence of magnetic printing characteristics in double magnet master media for energy-assisted magnetic recording
Authors: Komine Takashi 
Published: February 2023

In this study, the combinatorial dependence in double magnet master for energy-assisted magnetic recording was investigated by the micromagnetic framework. Four kinds of master media, which are soft single magnet (SSM), hard single magnet (HSM), soft double magnet (SDM) and hard double magnet (HDM), were compared. Comparing single magnet and double magnet master media, more adequate combination of double magnet master media was discussed. The HSM, SDM, and HDM master media can write line/space (L/S) pattern with bit length of 20 nm, while the double magnet master media can clearly print L/S patterns comparing with single magnet in case of 10 nm. For higher coercivity EAMR media, the larger printing field causes larger recording field difference by utilizing SDM master media while in case of HDM the recording field difference is almost constant even if the printing field increases. As a result, since the recording field difference of SDM becomes larger than that of HDM as the printing field strengthens, thus, SDM master media can write the servo signals onto higher coercivity EAMR media. It was concluded that it is important for the low coercivity parts of double magnet master media to have a larger saturation magnetization due to enhancement of large recording field difference.
Effect of laser power on structural and magnetic properties of anisotropic Nd-Fe-B film magnets prepared by PLD method
Authors: Yamashita A. , Hanada S. , Yanai T. , Nakano M. , Fukunaga H. 
Published: February 2023

Anisotropic Nd-Fe-B film magnets are applied to miniaturized electronic devices and MEMS (Micro Electro Mechanical Systems) devices have been prepared by the sputtering method. However, the thickness of each film is mainly less than 20 μm. We have already fabricated anisotropic rare-earth film magnets by pulsed laser deposition (PLD) technique. In this study, an investigation has been carried out on increasing laser beam power for a high deposition rate. Although the thickness of the films increases as laser power increases, it is suggested that the residual magnetic polarization ratio and coercivity values of anisotropic Nd-Fe-B film magnets are not allowed to deteriorate with increasing laser power or deposition rate. These results suggest that we have the facility in obtaining perpendicularly anisotropic Nd-Fe-B thick-film magnets using the PLD method.
Distribution and evolution of surface charges in nanosecond pulsed dielectric barrier discharge under the quiescent air and airflow
Authors: Wang Xiao , Yan Hui-Jie , Wang Yu-Ying , Yu Si-qi , Li Ting , Song Jian 
Published: February 2023

Abstract
The surface charges in nanosecond pulsed dielectric barrier discharge under quiescent air and airflow are detected based on the Pockels effect of electro-optical crystals. In quiescent air, it is found that the surface charge spot propagates and moves in a certain direction due to the combination of the transverse electric field and the thermal accumulation during dozens of consecutive discharge cycles. However, the position of the surface charge spot remains fixed throughout a single discharge cycle (0.83 ms). At the same time, the noticeable decay of surface charges emerges in the above time scales. Furthermore, when the airflow is introduced into the discharge gap, the propagation and movement of surface charges are accelerated. With the increase of airflow velocity, the discharge transforms from a filamentary mode to a diffuse mode, and the distribution of surface charges varies from discrete to uniform. The transition point of the discharge state and charge distribution corresponds to the airflow velocity of 10 m s−1. The airflow accelerates the decay of surface charges, resulting in the shrink and dispersion of surface charges, which is considered to be the fundamental reason for the airflow’s potential to improve discharge uniformity. The inherent mechanism for achieving uniform discharge is revealed in this study.
An organ deformation model using Bayesian inference to combine population and patient-specific data
Authors: Rørtveit Øyvind Lunde , Hysing Liv Bolstad , Stordal Andreas Størksen , Pilskog Sara 
Published: February 2023

Abstract

Objective. Organ deformation models have the potential to improve delivery and reduce toxicity of radiotherapy, but existing data-driven motion models are based on either patient-specific or population data. We propose to combine population and patient-specific data using a Bayesian framework. Our goal is to accurately predict individual motion patterns while using fewer scans than previous models. Approach. We have derived and evaluated two Bayesian deformation models. The models were applied retrospectively to the rectal wall from a cohort of prostate cancer patients. These patients had repeat CT scans evenly acquired throughout radiotherapy. Each model was used to create coverage probability matrices (CPMs). The spatial correlations between these estimated CPMs and the ground truth, derived from independent scans of the same patient, were calculated. Main results. Spatial correlation with ground truth were significantly higher for the Bayesian deformation models than both patient-specific and population-derived models with 1, 2 or 3 patient-specific scans as input. Statistical motion simulations indicate that this result will also hold for more than 3 scans. Significance. The improvement over previous models means that fewer scans per patient are needed to achieve accurate deformation predictions. The models have applications in robust radiotherapy planning and evaluation, among others.
Scattering properties of Bessel beams on metal particles
Authors: Wang Zhe , Wei Qun , Zhang Shu , Li Linqian , Hu Mingwei , Li Renxian 
Published: February 2023

Abstract
Based on Generalized Lorenz-Mie Theory (GLMT), the scattering phenomenon caused by Bessel beam irradiation on metal particles is studied. The order and polarization mode of Bessel beam, as well as the influence of the size of metal particles on the total intensity distribution of the light field around metal particles are investigated by using the software simulation calculation. The results show that for spherical metal particles of the same size, the higher order Bessel beam is more likely to bypass the metal particles in the forward propagation, while the lower order Bessel beam bypassed the particles in the propagation is related to the beam polarization mode. The results have potential applications in microscopy super-resolution imaging and detection of tiny particles.