bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shape-driven, emergent behavior in active particle mixtures
Authors: Moran Shannon E , Schönhöfer Philipp W A , Glotzer Sharon C 
Published: May 2022

AbstractActive particle systems can vary greatly from one-component systems of spheres to mixtures of particle shapes at different composition ratios. We investigate computationally the combined effect of anisotropy and stoichiometry on the collective behavior of two-dimensional active colloidal mixtures of polygons. We uncover three emergent phenomena not yet reported in active Brownian particle systems. First, we find that mixtures containing hexagons exhibit micro-phase separation with large grains of hexagonal symmetry. We quantify a measurable, implicit ‘steric attraction’ between the active particles as a result of shape anisotropy and activity. This calculation provides further evidence that implicit interactions in active systems, even without explicit attraction, can lead to an effective preferential attraction between particles. Next, we report stable fluid clusters in mixtures containing one triangle or square component. We attribute the fluidization of the dense cluster to the interplay of cluster destabilizing particles, which introduce grain boundaries and slip planes into the system, causing solid-like clusters to break up into fluid clusters. Third, we show that fluid clusters can coexist with solid clusters within a sparse gas of particles in a steady state of three coexisting phases. Our results highlight the potential for a wide variety of behavior to be accessible to active matter systems and establish a route to control active colloidal systems through simple parameter designs.
Weighted polygamy inequalities of multiparty q-expected quantum entanglement
Authors: Ma Jiangshan , Wu Hongxing , Li Bo 
Published: May 2022

Abstract
Based on q-expected entanglement measure for

q
⩾
1

, we generalize the polygamy inequality for multiparty entanglement in arbitrary-dimensional quantum systems. By using the βth-power of the q-expected entanglement of assistance for

0
⩽
β
⩽
1

and the Hamming weight of the binary vector related with the distribution of subsystems, a class of weighted polygamy inequalities in arbitrary-dimensional quantum systems is established. We further demonstrate that our class of weighted polygamy inequalities can be improved even into tighter inequalities, under some conditions, with auxiliary entanglement in bipartite subsystems. Our results may provide new ideas for studying the polygamy constraints of multiparty entanglement and better characterizing the entanglement distribution.
Circular Polarization of Fast Radio Bursts in the Curvature Radiation Scenario
Authors: Tong Hao , Wang Hong-Guang 
Published: May 2022

Abstract
The curvature radiation is applied to the explanation of the circular polarization of fast radio bursts (FRBs). Significant circular polarization is reported in both apparently non-repeating and repeating FRBs. Curvature radiation can produce significant circular polarization at the wing of the radiation beam. In the curvature radiation scenario, in order to see significant circular polarization in FRBs, (1) more energetic bursts, (2) bursts with electrons having higher Lorentz factor, and (3) a slowly rotating neutron star at the center are required. Different rotational period of the central neutron star may explain why some FRBs have high circular polarization, while others do not. Considering possible difference in refractive index for the parallel and perpendicular components of electric field, the position angle may change rapidly over the narrow pulse window of the radiation beam. The position angle swing in FRBs may also be explained by this non-geometric origin, besides that of the rotating vector model.
IENet: a robust convolutional neural network for EEG based brain-computer interfaces
Authors: Du Yipeng , Liu Jian 
Published: May 2022

AbstractObjective.Brain-computer interfaces (BCIs) based on electroencephalogram (EEG) develop into novel application areas with more complex scenarios, which put forward higher requirements for the robustness of EEG signal processing algorithms. Deep learning can automatically extract discriminative features and potential dependencies via deep structures, demonstrating strong analytical capabilities in numerous domains such as computer vision and natural language processing. Making full use of deep learning technology to design a robust algorithm that is capable of analyzing EEG across BCI paradigms is our main work in this paper.Approach.Inspired by InceptionV4 and InceptionTime architecture, we introduce a neural network ensemble named InceptionEEG-Net (IENet), where multi-scale convolutional layer and convolution of length 1 enable model to extract rich high-dimensional features with limited parameters. In addition, we propose the average receptive field (RF) gain for convolutional neural networks (CNNs), which optimizes IENet to detect long patterns at a smaller cost. We compare with the current state-of-the-art methods across five EEG-BCI paradigms: steady-state visual evoked potentials (VEPs), epilepsy EEG, overt attention P300 VEPs, covert attention P300 visual-EPs and movement-related cortical potentials.Main results.The classification results show that the generalizability of IENet is on par with the state-of-the-art paradigm-agnostic models on test datasets. Furthermore, the feature explainability analysis of IENet illustrates its capability to extract neurophysiologically interpretable features for different BCI paradigms, ensuring the reliability of algorithm.Significance.It can be seen from our results that IENet can generalize to different BCI paradigms. And it is essential for deep CNNs to increase the RF size using average RF gain.
Simulation study of particle transport by weakly coherent mode in the Alcator C-Mod tokamak
Authors: Lang Yong , Xu Xueqiao , Guo Zhibin , Li Bo , Wang Xiaogang , Tang Tengfei , Dong Chao 
Published: May 2022

Abstract
A simulation study has been conducted of the physical mechanisms behind the weakly coherent mode (WCM) and its produced particle transport in the I-mode edge plasmas by using the BOUT++ code. The WCM is identified in our simulations by its poloidal and radial distributions as well as its frequency and wavenumber spectra. Its produced radial particle flux is calculated and compared with the experimental value. The good agreement indicates that the WCM is an important particle transport channel in the I-mode pedestal. It is found that the WCM can transport particles across the strong outer shear layer of the E

r
well established in the formation of I-mode, based on which a possible explanation is provided why I-mode does not feature a density pedestal. The key point lies in the change of the cross-phase between the electric potential and density fluctuations induced by the E × B Doppler shift. In the strong shear layer, although the electric potential fluctuation is significantly suppressed, the cross-phase is close to π/2, resulting in a strong drive of the density fluctuation and particle transport. To identify the physical nature of the WCM, a linear dispersion relation for drift Alfvén modes is derived in the slab geometry. A drift Alfvén wave instability is found to have similar dependence to the simulated linear instability behind the WCM on the resistivity and the parallel electron pressure gradient and thermal force terms in the parallel Ohm’s law.
A New Type of Transverse Flux Permanent Magnet Rim Motor and Its Modeling Analysis
Authors: Lin Bo , Gao Jin , Liu Yonghui , Zhan Pengfei 
Published: May 2022

Abstract
In this paper, a new type of transverse flux permanent magnet rim motor is obtained by combining transverse flux permanent magnet motor with shaftless rim motor. When a sinusoidal current is passed through the stator of the motor, a rotating magnetic field will be generated. The rotating magnetic field interacts with the constant magnetic field generated by the rotor magnet, and the interaction will drive the motor to rotate. The new motor has the advantages of high power, low noise, small vibration and small volume, and is suitable for marine propulsion and other fields. This paper introduces the special magnetic field distribution of the new motor, and uses the 3D finite element analysis method to analyze the electromagnetic field of the motor’s no-load and load conditions. The paper will verify the correctness and superiority of the model.
A comparative research of innovative comparators
Authors: Song Bangyu , Zhao Yi 
Published: May 2022

Abstract
This paper studies four novel design comparators and gives a detailed analysis and summary of them. edge-pursuit comparator (EPC) improved energy efficiency and noise over conventional comparators by a circuit loop consisting of numbers of delay units. The triple-tail fully dynamic comparator minimizes the comparator’s total delay time and enhances the sample rate. The dynamic bias architecture of the double-tail latch-type comparator can provide a relatively high voltage gain while ensuring a low power consumption by stabilizing the static operating point. It also has advantages over conventional comparators in noise and delay. A triple-latch feedforward (TLFF) comparator improves on the triple-tail fully dynamic comparator. The triple-latch feedforward (TLFF) dynamic comparator consists of three-stage latches and a parallel feedforward path. It has a smaller delay time than other circuit designs, especially for large differential input signals.
An Accelerated Mixed-Height Cell Circuit Legalization Method
Authors: Zhou Chencan , Yang Gengchen , Shi Quan 
Published: May 2022

Abstract
In Very Large-Scale Integration Circuit (VLSI) advanced node design, the standard cells are usually designed with mixed height to meet various requirements. In this paper, benefit from the initial placement from global placement, we first align cells to the power rail type matching rows and divide multi-row-height cells into single-row-height ones. Next, quadratic programming model is constructed and converted into linear complementarity problem (LCP). Last, we choose two matrix splits and apply an accelerated modulus-based matrix splitting iteration method to solve LCP. Experimental results indicate that we achieve better performance than two published state-of the-art works.
Linked Data Fusion Based on Similarity Calculation and K-Nearest Neighbor
Authors: Chen Yiming 
Published: May 2022

Abstract
The development of semantic web technology supports the continuous development of linked data and its applications. In order to make effective use of the growing linked data on the web, multi-source data should be fused, which is a key step in multi-source large-scale data analysis and management. Currently, merging these data can be difficult, because various sources usually provide multiple conflict descriptions for entities in the same real world. To complete the fusion, we need to solve the problem of object conflict. This paper proposes a linked data fusion method based on similarity calculation and k-nearest neighbor. This method has two contributions. Firstly, a similarity calculation method of linked data is proposed, which can effectively integrate URI nodes and blank nodes in linked data; Secondly, a literal type node fusion strategy based on k-nearest neighbor classification method is proposed, which realizes the automation of fusion and has the independence of data source. The results show that compared with other methods, this method can improve the conciseness and consistency and precision by up to 12.9%, 30.6% and 12%.
Research on Multi-target Selection and Sequencing Based on Analytic Hierarchy Process
Authors: Xie Jun , Zhang Hongwei , Wang Zhiqiang , Guo Xin 
Published: May 2022

Abstract
Focusing on the characteristics of naval base targets, according to the conditions of the geographical location, the facilities size, the capacity of the station and the undertake task, the target level analysis were taken according to the comprehensive value, value and alternative target based on the Analytic Hierarchy Process(AHP). The hierarchical model which reflects the correlation of all factors was build. The quantitative analysis and evaluation of the multi-naval bases were carried out from combat capability, guarantee capability, command and control capability, reconnaissance and early warning capability and defensive capability. Multi-target selection analysis and comprehensive capability ranking of naval base are obtained.
Research on Structural Vibration Reduction Technology of Rotating Machinery Based on Dynamic Vibration Absorption
Authors: Zhang Xiaobin , Yu Chao , Xu Jidong , Wang Depeng 
Published: May 2022

Abstract
Rotating machinery such as steam turbines, generators, and fans are generally composed of rotating parts and stator parts. The structural vibration that occurs on the stator parts often seriously affects the safe and stable operation of the equipment. Usually, a part of the structural vibration failure can be solved by dynamic balancing. However, due to the complexity of the system, another part of the structural vibration failure cannot be completely solved by dynamic balancing. For solving structural vibration faults, a vibration reduction technology based on the dynamic vibration absorption is proposed. This method designs a dynamic vibration absorber so that its natural frequency is equal to the excitation force frequency. The vibration of the stator is transferred to the absorber, so as to achieve the purpose of vibration reduction. Then, a rotor system test bench was built, and the vibration absorption device parameters were designed according to the vibration data of the test bench. Through experiments, it is proved that this method has a good vibration reduction effect.
DSB and SSB damages by 0.1–20 MeV protons enhanced by high-Z nanoparticles computed using Geant4-DNA
Authors: Hosseini S.J. , Sardari D. , Baradaran S. , Saeedzadeh E. 
Published: May 2022

Abstract
The interaction of protons in the energy range of 0.1 to 20 MeV with water sphere, as the target volume, containing DNA molecules has been simulated using Geant4-DNA toolkit. PDB format of DNA was used as DNA molecules were distributed randomly inside the target volume. The number of DNA damage is calculated in the absence of nanoparticles. Then the simulation has been repeated in the presence of 3 different nanoparticles (gold, gadolinium and iodine), in the identical physical and geometric conditions. The number of DNA damages without nanoparticles was in agreement with previous studies. Simulations results demonstrate that adding gold nanoparticles leads to increase damage yields in DNA. Increase of the yield between 10% to 50% were observed for SSB and DSB. Enhancement of the yield damage in the case of gadolinium and iodine nanoparticles was observed to be 4% and 9% less than that of gold nanoparticles.
The mechanism on Prevotella melaninogenica promoting the inflammatory progression of oral lichen planus
Authors: Xu Pan , Shao Ru-ru , Zhang Shi , Tan Zheng-wu , Guo Yi-ting , He Yuan 
Published: May 2022

Abstract
Oral lichen planus (OLP) is a common chronic inflammatory disease occurring in the oral mucosa. Bacteria are a key driver of mucosal immune responses and can induce changes in gene expression and function of epithelial keratinocytes. IL-36γ can induce the expression of antimicrobial peptides, cytokines, and chemokines, and is widely involved in many chronic inflammatory diseases. Our aim is to explore the role of IL-36γ in the pathological process of OLP when Prevotella melaninogenica (P. melaninogenica) invades the oral mucosa. The expression of IL-36γ in OLP lesions and mice was detected by immunohistochemistry. Recombinant human IL-36Gamma (rhIL-36γ) was used to treat oral keratinocytes and the expression levels of inflammatory cytokines were detected by qRT-PCR and ELISA. The expression of IL-36γ and TRPV1 was detected by western blotting following co-culturing P. melaninogenica with oral keratinocytes. The mRNA expression of IL-36γ was detected by qRT-PCR. From our results, IL-36γ was upregulated in OLP lesions. Exogenous rhIL-36γ promoted the expression of pro-inflammatory cytokines and antibacterial peptides in oral keratinocytes. The expression of IL-36γ was significantly increased following the stimulation of P. melaninogenica in oral keratinocytes and mice. TRPV1 activation was induced by P. melaninogenica and its activation enhanced the expression of IL-36γ. IL-36Ra could reduce the inflammation in OLP in vitro. In summary, overexpression of IL-36γ in OLP lesions could promote its pathogenesis by inducing inflammation. P. melaninogenica invasion of oral keratinocytes could induce the expression of IL-36γ by the activation of TRPV1, thereby regulating the interaction between bacteria and oral epithelial cells.
Lung Function in Women With and Without Human Immunodeficiency Virus
Authors: Wang Richard J , Nouraie Mehdi , Kunisaki Ken M , Huang Laurence , Tien Phyllis C , Anastos Kathryn , Bhandari Neha , Bhatt Surya P , Bolivar Hector , Cribbs Sushma K , Foronjy Robert , Gange Stephen J , Lazarous Deepa , Morris Alison , Drummond M Bradley 
Published: May 2022

Abstract

Background
Prior studies have found that human immunodeficiency virus (HIV) infection is associated with impaired lung function and increased risk of chronic lung disease, but few have included large numbers of women. In this study, we investigate whether HIV infection is associated with differences in lung function in women.

Methods
This was a cross-sectional analysis of participants in the Women’s Interagency HIV Study, a racially and ethnically diverse multicenter cohort of women with and without HIV. In 2018–2019, participants at 9 clinical sites were invited to perform spirometry. Single-breath diffusing capacity for carbon monoxide (DLCO) was also measured at selected sites. The primary outcomes were the post-bronchodilator forced expiratory volume in 1 second (FEV1) and DLCO. Multivariable regression modeling was used to analyze the association of HIV infection and lung function outcomes after adjustment for confounding exposures.

Results
FEV1 measurements from 1489 women (1062 with HIV, 427 without HIV) and DLCO measurements from 671 women (463 with HIV, 208 without HIV) met standards for quality and reproducibility. There was no significant difference in FEV1 between women with and without HIV. Women with HIV had lower DLCO measurements (adjusted difference, –0.73 mL/min/mm Hg; 95% confidence interval, −1.33 to −.14). Among women with HIV, lower nadir CD4 + cell counts and hepatitis C virus infection were associated with lower DLCO measurements.

Conclusions
HIV was associated with impaired respiratory gas exchange in women. Among women with HIV, lower nadir CD4 + cell counts and hepatitis C infection were associated with decreased respiratory gas exchange.
Ongoing tectonic subsidence in the Lesser Antilles subduction zone
Authors: van Rijsingen E M , Calais E , Jolivet R , de Chabalier J-B , Robertson R , Ryan G A , Symithe S 
Published: May 2022

SUMMARYGeological estimates of vertical motions in the central part of the Lesser Antilles show subsidence on timescales ranging from 125.000 to 100 yr, which has been interpreted to be caused by interseismic locking along the subduction megathrust. However, horizontal GNSS velocities show that the Lesser Antilles subduction interface is currently building up little to no elastic strain. Here, we present new present-day vertical velocities for the Lesser Antilles islands and explore the link between short- and long-term vertical motions and their underlying processes. We find a geodetic subsidence of the Lesser Antilles island arc at 1–2 mm yr−1, consistent with the ∼100-yr trend derived from coral micro-atolls. Using elastic dislocation models, we show that a locked or partially locked subduction interface would produce uplift of the island arc, opposite to the observations, hence supporting a poorly coupled subduction. We propose that this long-term, margin-wide subsidence is controlled by slab dynamic processes, such as slab rollback. Such processes could also be responsible for the aseismic character of the subduction megathrust.
SEMA6B variants cause intellectual disability and alter dendritic spine density and axon guidance
Authors: Cordovado Amélie , Schaettin Martina , Jeanne Médéric , Panasenkava Veranika , Denommé-Pichon Anne-Sophie , Keren Boris , Mignot Cyril , Doco-Fenzy Martine , Rodan Lance , Ramsey Keri , Narayanan Vinodh , Jones Julie R , Prijoles Eloise J , Mitchell Wendy G , Ozmore Jillian R , Juliette Kali , Torti Erin , Normand Elizabeth A , Granger Leslie , Petersen Andrea K , Au Margaret G , Matheny Juliann P , Phornphutkul Chanika , Chambers Mary-Kathryn , Fernández-Ramos Joaquín-Alejandro , López-Laso Eduardo , Kruer Michael C , Bakhtiari Somayeh , Zollino Marcella , Morleo Manuela , Marangi Giuseppe , Mei Davide , Pisano Tiziana , Guerrini Renzo , Louie Raymond J , Childers Anna , Everman David B , Isidor Betrand , Audebert-Bellanger Séverine , Odent Sylvie , Bonneau Dominique , Gilbert-Dussardier Brigitte , Redon Richard , Bézieau Stéphane , Laumonnier Frédéric , Stoeckli Esther T , Toutain Annick , Vuillaume Marie-Laure 
Published: May 2022

Abstract
Intellectual disability (ID) is a neurodevelopmental disorder frequently caused by monogenic defects. In this study, we collected 14 SEMA6B heterozygous variants in 16 unrelated patients referred for ID to different centers. Whereas, until now, SEMA6B variants have mainly been reported in patients with progressive myoclonic epilepsy, our study indicates that the clinical spectrum is wider and also includes non-syndromic ID without epilepsy or myoclonus. To assess the pathogenicity of these variants, selected mutated forms of Sema6b were overexpressed in Human Embryonic Kidney 293T (HEK293T) cells and in primary neuronal cultures. shRNAs targeting Sema6b were also used in neuronal cultures to measure the impact of the decreased Sema6b expression on morphogenesis and synaptogenesis. The overexpression of some variants leads to a subcellular mislocalization of SEMA6B protein in HEK293T cells and to a reduced spine density owing to loss of mature spines in neuronal cultures. Sema6b knockdown also impairs spine density and spine maturation. In addition, we conducted in vivo rescue experiments in chicken embryos with the selected mutated forms of Sema6b expressed in commissural neurons after knockdown of endogenous SEMA6B. We observed that expression of these variants in commissural neurons fails to rescue the normal axon pathway. In conclusion, identification of SEMA6B variants in patients presenting with an overlapping phenotype with ID and functional studies highlight the important role of SEMA6B in neuronal development, notably in spine formation and maturation and in axon guidance. This study adds SEMA6B to the list of ID-related genes.