bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the local and global performance of homogeneous platoon with a bidirectional ring interconnection
Authors: Zhang Junying , Ma Xindi 
Published: July 2022

AbstractThis paper investigates the local and global performance of the platoon where multiple identical vehicles move in a closed roadway and cooperate based on nearest‐neighbour interactions. The information from the front neighbour, namely position, speed, and acceleration, is weighted non‐equally component‐wise to that from the back neighbour, which is quantified by the asymmetry level on each component. The local performance refers to the locally propagating attenuation for the bidirectional control, which captures whether the disturbance is amplified when propagating from a vehicle to its immediate neighbours. The global performance refers to the system transfer scalability, which characterises the scalability of system transfer matrix. Based on forward and backward wave transfer functions, several analytical necessary conditions of the locally propagating attenuation are obtained. Furthermore, two of these necessary conditions happen to be the same with the conditions for scalably asymptotic stability. Under mild assumptions, the locally propagating attenuation is sufficient for scalably asymptotic stability, the latter of which in turn implies the system transfer scalability. Numerical calculations further show that it is favourable for both performance measures to select the asymmetry levels on speed and acceleration with small magnitudes and located around the centre line of the band‐like region of scalably asymptotic stability.
Jetting axial flow induced by nanosecond repetitively pulsed discharges in quiescent ambient air
Authors: Shcherbanev Sergey A , Krzymuski Tanguy , Xiong Yuan , Noiray Nicolas 
Published: July 2022

Abstract
This study investigates the phenomenon of jetting axial flow induced by nanosecond repetitively pulsed discharges (NRPD) in quiescent ambient air in a pin-to-pin electrode configuration. Axial stratification of discharge parameters (electron number density, temperature, specific energy, etc) influences the hydrodynamic effects leading to directed gas flow from the cathode towards the anode. The experimental results presented in this paper were obtained using schlieren imaging, optical emission spectroscopy (OES), and electrical measurements of the deposited energy. A jetting axial flow was induced for all considered gap distances (0.5–5 mm) and pulse repetition frequencies of

⩾

10 kHz. The direction of the induced flow is defined by the polarity of the applied high-voltage pulses. It was found that the flow does not arise immediately after the initiation of the first pulse of the applied burst but is induced after a certain number of pulses. Using temporally and spatially resolved OES the electron densities and temperatures were measured in the vicinity of the cathode and anode before and after the generation of the axial flow. A model explaining the generation and maintenance of the axial flow in NRPD and the role of the inhomogeneities of plasma parameters along the plasma channel on hydrodynamic effects is suggested and discussed.
Freestanding complex-oxide membranes
Authors: Pesquera David , Fernández Abel , Khestanova Ekaterina , Martin Lane W 
Published: July 2022

Abstract
Complex oxides show a vast range of functional responses, unparalleled within the inorganic solids realm, making them promising materials for applications as varied as next-generation field-effect transistors, spintronic devices, electro-optic modulators, pyroelectric detectors, or oxygen reduction catalysts. Their stability in ambient conditions, chemical versatility, and large susceptibility to minute structural and electronic modifications make them ideal subjects of study to discover emergent phenomena and to generate novel functionalities for next-generation devices. Recent advances in the synthesis of single-crystal, freestanding complex oxide membranes provide an unprecedented opportunity to study these materials in a nearly-ideal system (e.g. free of mechanical/thermal interaction with substrates) as well as expanding the range of tools for tweaking their order parameters (i.e. (anti-)ferromagnetic, (anti-)ferroelectric, ferroelastic), and increasing the possibility of achieving novel heterointegration approaches (including interfacing dissimilar materials) by avoiding the chemical, structural, or thermal constraints in synthesis processes. Here, we review the recent developments in the fabrication and characterization of complex-oxide membranes and discuss their potential for unraveling novel physicochemical phenomena at the nanoscale and for further exploiting their functionalities in technologically relevant devices.
Superconducting niobium nitride: a perspective from processing, microstructure, and superconducting property for single photon detectors
Authors: Cucciniello Nicholas , Lee Derek , Feng Henry Y , Yang Zihao , Zeng Hao , Patibandla Nag , Zhu Mingwei , Jia Quanxi 
Published: July 2022

Abstract
Superconducting niobium nitride (NbN) continues to be investigated decades on, largely in part to its advantageous superconducting properties and wide use in superconducting electronics. Particularly, NbN-based superconducting nanowire single-photon detectors (SNSPDs) have shown exceptional performance and NbN remains as the material of choice in developing future generation quantum devices. In this perspective, we describe the processing–structure–property relationships governing the superconducting properties of NbN films. We further discuss the complex interplay between the material properties, processing parameters, substrate materials, device architectures, and performance of SNSPDs. We also highlight the latest progress in optimizing SNSPD performance parameters.
Tuning the nonlinearity of graphene mechanical resonators by Joule heating
Authors: Suo Jiao-Jiao , Li Wei-Jie , Cheng Ze-Di , Zhao Zi-Fan , Chen Hui , Li Bo-Lin , Zhou Qiang , Wang You , Song Hai-Zhi , Niu Xiao-Bin , Deng Guang-Wei 
Published: July 2022

Abstract
As an inherent property of the device itself, nonlinearity in micro-/nano- electromechanical resonators is difficult to eliminate, and it has shown a wide range of applications in basic research, sensing and other fields. While many application scenarios require tunability of the nonlinearity, inherent nonlinearity of a mechanical resonator is difficult to be changed. Here, we report the experimental observation of a Joule heating induced tuning effect on the nonlinearity of graphene mechanical resonators. We fabricated multiple graphene mechanical resonators and detected their resonant properties by an optical interference method. The mechanical vibration of the resonators will enter from the linear to the nonlinear intervals if we enhance the external driving power to a certain value. We found that at a fixed drive power, the nonlinearity of a mechanical resonator can be tuned by applying a dc bias current on the resonator itself. The tuning mechanism could be explained by the nonlinear amplitude-frequency dependence theory. Our results may provide a research platform for the study of mechanical nonlinearity by using atomic-thin layer materials.
Fault diagnosis method for machinery based on multi-source conflict information fusion
Authors: Wei Jianfeng , Zhang Faping , Lu Jiping , Yang Xiangfei , Yan Yan 
Published: July 2022

Abstract
Multi-source information fusion diagnosis is usually more reliable than fault diagnosis with a single source employed. However, fusion results may be absurd when fusing highly conflicting information. To address this problem, the Dempster–Shafer (DS) evidence theory is updated by weighting each piece of evidence according to the corresponding contribution to the decision, and a novel fault diagnosis method based on multi-source conflict information fusion is proposed. First, the basic probability assignment of evidence corresponding to the sensor information is given by introducing the feature parameters of electromyographic signals and using the back-propagation neural network. Then, the importance of each piece of evidence is determined by solving the difference degree and exclusion degree among the evidence, and the evidence is assigned weights according to the degree of importance of each piece of evidence in the fusion decision-making process. Next, the weighted evidence is combined for making decisions and further diagnosis after weighted averaging of the evidence with different weights. Finally, the performance of the proposed method is assessed using receiver operating characteristic (ROC) curves. The experimental results show that the areas under the ROC curves for the proposed method are 0.3229, 0.0729 and 0.9271 higher than those of the traditional DS method, Murphy’s method and Yager’s method, respectively, which proves that the proposed method has better diagnostic performance and reliability.
Spectral-coherence guided variational mode extraction and its application in rolling bearing fault diagnosis
Authors: Sun Zhenduo , Zhang Heng , Pang Bin , Su Dandan , Xu Zhenli , Sun Feng 
Published: July 2022

Abstract
Variational mode extraction (VME), inspired by variational mode decomposition (VMD), is a novel fault diagnosis technique that can efficiently extract narrowband modes from multi-component signals. Compared with VMD, VME is more accurate and faster when extracting the narrowband component. However, the preset center frequency ω
c and balance factor α seriously affect the performance of VME. Therefore, spectral-coherence guided VME (SCVME), capable of determining the hyper-parameters automatically, is proposed for fault diagnosis of rolling bearings. First, by considering the advantages of spectral coherence (SCoh) for characterizing the cyclostationarity of bearing faults, its energy spectrum is constructed. The energy spectrum of SCoh can intuitively reveal the fault information energy hidden in each frequency, which provides sufficient support for the determination of the center frequency ωc. Subsequently, a novel signal evaluation index named cyclic pulse intensity (CPI) is proposed to adaptively optimize the balance factor α. It is verified that the proposed CPI index is superior to common metrics, such as kurtosis, spectral kurtosis and l
2/l
1 norm, used for identifying periodic pulses. Finally, the modes containing fault information are accurately extracted by VME according to the optimal parameters (ωc
, α). The effectiveness of the proposed method is demonstrated by simulations and experiments. In addition, comparisons with the VMD and Autogram methods are carried out to highlight the superiority of the SCVME method.
A novel high-speed bi-directional piezoelectric inchworm actuator based on flexible supported baffles
Authors: Sun Tiantian , Yan Peng 
Published: July 2022

Abstract
Typical bionic piezoelectric inchworm actuators utilize at least two clamping piezo-stacks (PZTs) and one driving PZT to achieve bi-directional actuation, resulting in complex structures, complicated electronic systems, and high cost. Actuators with lesser PZTs (1 or 2) can effectively alleviate these problems; however, existing designs are limited to unidirectional or bidirectional low-speed motion. This study proposes a high-speed bi-directional inchworm actuator with two PZTs, where the clamping switching is achieved by only one PZT through innovative use of flexible supported baffles and enhanced clamping mechanisms. The design also reduces the six sub-steps of the driving principle (alternate elongation and shortening of three PZTs) required for each step of typical designs to four, thus effectively increasing the maximum speed of the actuation. Experimental results show that the proposed design facilitates bi-directional motions in a stable manner with a maximum speed of 5.1 mm s−1, which is approximately 23 times faster than the existing design with two PZTs. The proposed design can effectively expand the application range of dual-piezoelectric inchworm actuators and can find a promising application in the field of high-speed precision positioning.
Highly sensitive and flexible three-dimensional force tactile sensor based on inverted pyramidal structure
Authors: Wang Yifan , Ruan Xiaoyun , Xing Changwen , Zhao Houqi , Luo Mengmeng , Chen Yexin , Hong Weiqiang , Guo Xiaohui 
Published: July 2022

Abstract
To improve the haptic sensing performance of electronic skin (e-skin), this study designed a capacitance-based highly sensitive three-dimensional (3D) force tactile sensor with an inverted pyramidal structure with high electrical stability and mechanical repeatability. The working mechanism of the sensor was verified by finite element simulation, and it was fabricated by low-cost 3D printing technology and layer-by-layer self-assembly process. A capacitive signal acquisition system and an application test platform were constructed. The results revealed that the proposed 3D-force tactile sensor had a normal force sensitivity of 0.551 N−1 at 0–7 N and 0.107 N−1 at 7–35 N. The results for tangential force were 0.404 N−1 at 0–4 N and 0.227 N−1 at 4–14 N, with a low hysteresis of 4.17% and a fast response/recovery time of 56/30 ms. High sensitivity and reliability of the device were demonstrated experimentally. The proposed capacitive flexible 3D-force haptic sensor can be used in applications such as robotic gripping, gamepad control and human motion detection, and its feasibility for application as e-skin was confirmed.
Monitoring of hand function enabled by low complexity sensors printed on textile
Authors: Paterson T E , Hagis N , Boufidis D , Wang Q , Moore S R , da Silva A C , Mitchell R L , Alix J J P , Minev I R 
Published: July 2022

Abstract
Development of inexpensive, disposable, use-at-home, personalised health wearables can revolutionise clinical trial design and clinical care. Recent approaches have focused on electronic skins, which are complex systems of sensors and wiring produced by integration of multiple materials and layers. The requirement for high-end clean room microfabrication techniques create challenges for the development of such devices. Drawing inspiration from the ancient art of henna tattoos, where an artist draws designs directly on the hand by extruding a decorative ink, we developed a simple strategy for direct writing (3D printing) of bioelectronic sensors on textile. The sensors are realised using a very limited set of low-cost inks composed only of graphite flakes and silicone. By adapting sensor architectures in two dimensions, we produced electromyography (EMG), strain and pressure sensors. The sensors are printed directly onto stretchable textile (cotton) gloves and function as an integrated multimodal monitoring system for hand function. Gloves demonstrated functionality and stability by recording simultaneous readings of pinch strength, thumb movement (flexion) and EMG of the abductor pollicis brevis muscle over 5 days of daily recordings. Our approach is targeted towards a home based monitoring of hand function, with potential applications across a range of neurological and musculoskeletal conditions.
Effects of trehalose and polyacrylate-based hydrogels on tomato growth under drought
Authors: Panescu Priera H , Browne Marvin , Chen Kathleen K , Sack Lawren , Maynard Heather D 
Published: July 2022

Abstract
Hydrophilic amendments can enhance soil moisture content, which, in turn, can improve crop health under drought conditions. Understanding how different hydrogels interact with specific crops is necessary for optimal application. The soil conditioning abilities of a trehalose hydrogel and polyacrylate-based hydrogel were evaluated for tomatoes (Solanum lycopersicum) subjected to drought. Tomato plants were transplanted into individual pots with soil that contained trehalose hydrogel (0.4 wt%), polyacrylate-based hydrogel (0.4 wt%), or no hydrogel and subjected to a well-watered treatment or to pronounced soil drought, with or without rewatering. The health of tomato plants was monitored by measuring leaf total chlorophyll (a + b) concentration, leaf water potential (Ψleaf), stomatal conductance (gs) and relative growth rate (RGR). The polyacrylate-based hydrogel, but not the trehalose hydrogel, improved tomato plant function under drought conditions, as indicated by improved gs and RGR relative to the well-watered control. However, when subjected to a second drought, neither hydrogel was effective, and neither prolonged survival. The more hydrophilic polyacrylate-based hydrogel demonstrated promise in improving the growth of tomato plants under drought when included as a soil amendment at 0.4 wt%. This research is important for understanding the effects of these hydrogels as soil conditioners in drought prone systems.
Progressive multifocal leukoencephalopathy: epidemiology and spectrum of predisposing conditions
Authors: Joly Marine , Conte Cécile , Cazanave Charles , Le Moing Vincent , Tattevin Pierre , Delobel Pierre , Sommet Agnès , Martin-Blondel Guillaume 
Published: July 2022

Abstract
Population-based data on the epidemiology of progressive multifocal leukoencephalopathy, its predisposing conditions and mortality rate are lacking, although such data are crucial to raise awareness among clinicians and to lay foundations for future therapeutic trials in immunomodulating therapies.
In our study, patients were identified by interrogating the French national healthcare reimbursement database from 1 January 2008 to 31 December 2017, using progressive multifocal leukoencephalopathy International Classification of Diseases code and a patient’s selection algorithm. Overall incidence rate, 1-year all-cause mortality rate and survival patterns were calculated, and factors associated with death were identified using a multivariate Cox proportional hazards regression model.
Our cohort is the largest to date, comprising 584 patients with incident progressive multifocal leukoencephalopathy. The overall incidence in France from 2010 to 2017 was stable during the study period at 0.11 per 100 000 person-years, 95% confidence interval [0.10–0.12]. Predisposing diseases were HIV infection (43.7%), followed by haematological malignancies (21.9%), chronic inflammatory diseases (20.2%), solid organ transplantation (4.3%), solid neoplasm (4.1%) and primary immune deficiency (1.5%). The 1-year mortality rate was 38.2%, with a 95% confidence interval (34.2–42.2). In multivariate analysis, factors independently associated with death were older age [adjusted hazard ratio 0.33 (0.20–0.53) for patients aged 20 to 40 compared with patients aged over 60], male gender [adjusted hazard ratio 0.73 (0.54–0.99) for females compared with males] and predisposing immunosuppressive disease, with the highest risk for solid neoplasms [adjusted hazard ratio 4.34 (2.25–8.37)], followed by haematological malignancies [adjusted hazard ratio 3.13 (1.85–5.30)] and HIV infection [adjusted hazard ratio 1.83 (1.12–3.00)], compared with chronic inflammatory diseases. Immune reconstitution inflammatory syndrome was notified in 7.0% of patients.
In conclusion, incidence of progressive multifocal leukoencephalopathy is stable in France, and HIV infection remains the main predisposing disease. This large-size cohort uncovers a higher risk of mortality for male patients compared to females, and the worst prognosis for patients with solid neoplasm, while prognosis in patients with haematological malignancies appeared less dismal than in previous studies.
Antibiotic-Resistant Infections Among Inpatients with Coronavirus Disease 2019 (COVID-19) in US Hospitals
Authors: Baggs James , Rose Ashley N , McCarthy Natalie L , Wolford Hannah , Srinivasan Arjun , Jernigan John A , Reddy Sujan C 
Published: July 2022

Abstract
We described bacterial/fungal coinfections and antibiotic-resistant infections among inpatients with a diagnosis of coronavirus disease 2019 (COVID-19) and compared findings in those with a diagnosis of influenza like illness. Less than 10% of inpatients with COVID-19 had bacterial/fungal coinfection. Longer lengths of stay, critical care stay, and mechanical ventilation contribute to increased incidence of hospital-onset infections among inpatients with COVID-19.
Detecting Affine Equivalence Of Boolean Functions And Circuit Transformation
Authors: Zeng Xiao , Yang Guowu , Song Xiaoyu , Perkowski Marek A , Chen Gang 
Published: July 2022

Abstract
Affine equivalence of Boolean functions has various applications in computer science and modern cryptography, such as circuit design and S-boxes. Existing methods for detecting affine equivalence of Boolean functions work in some cases but not when the truth table of a Boolean function is sparse. To improve previous methods and overcome this limitation, we propose a method by transforming the Boolean function to a function with the property that its function values at the orthonormal basis are all equal to 1 or 0, which narrows down the search space of affine transformations. Our first algorithm has the advantage of getting a smaller search space than previous methods and is especially useful for sparse functions. Specifically, when the Boolean functions are sparse, the search space can be reduced exponentially in average and experiments show the efficiency of our first algorithm. We then present another algorithm to transform one circuit into its equivalent affine circuit by synthesizing a reversible circuit and inserting it in front of the original circuit. To our knowledge, this is the first work to automatically synthesize an affine equivalent circuit for any given circuit and the first to do this by combining reversible circuit and non-reversible circuit.
dbBIP: a comprehensive bipolar disorder database for genetic research
Authors: Li Xiaoyan , Ma Shunshuai , Yan Wenhui , Wu Yong , Kong Hui , Zhang Mingshan , Luo Xiongjian , Xia Junfeng 
Published: July 2022

Abstract
Bipolar disorder (BIP) is one of the most common hereditary psychiatric disorders worldwide. Elucidating the genetic basis of BIP will play a pivotal role in mechanistic delineation. Genome-wide association studies (GWAS) have successfully reported multiple susceptibility loci conferring BIP risk, thus providing insight into the effects of its underlying pathobiology. However, difficulties remain in the extrication of important and biologically relevant data from genetic discoveries related to psychiatric disorders such as BIP. There is an urgent need for an integrated and comprehensive online database with unified access to genetic and multi-omics data for in-depth data mining. Here, we developed the dbBIP, a database for BIP genetic research based on published data. The dbBIP consists of several modules, i.e.: (i) single nucleotide polymorphism (SNP) module, containing large-scale GWAS genetic summary statistics and functional annotation information relevant to risk variants; (ii) gene module, containing BIP-related candidate risk genes from various sources and (iii) analysis module, providing a simple and user-friendly interface to analyze one’s own data. We also conducted extensive analyses, including functional SNP annotation, integration (including summary-data-based Mendelian randomization and transcriptome-wide association studies), co-expression, gene expression, tissue expression, protein–protein interaction and brain expression quantitative trait loci analyses, thus shedding light on the genetic causes of BIP. Finally, we developed a graphical browser with powerful search tools to facilitate data navigation and access. The dbBIP provides a comprehensive resource for BIP genetic research as well as an integrated analysis platform for researchers and can be accessed online at http://dbbip.xialab.info.
Database URL: http://dbbip.xialab.info