bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive finite‐time control of multi‐agent systems with partial state constraints and input saturation via event‐triggered strategy
Authors: Huang Xiaoting , Yu Hui , Xia Xiaohua 
Published: November 2022

AbstractThis paper focuses on the finite‐time control problem of multi‐agent systems with input saturation, unknown nonlinear dynamics, external disturbances and partial state constraints via output feedback. Fuzzy logic system and fuzzy state observer are introduced to approximate the uncertain nonlinearities and estimate the unmeasurable states, respectively. The partial state constraints are dealt with by using the barrier Lyapunov function, so that all states of the system do not exceed the preset boundary values. In order to reduce the computational complexity of the virtual controller and save communication resources, a first‐order filter and an event‐triggered mechanism are introduced, respectively. It is proved that the Zeno behavior does not occur via the proposed event‐triggered controller. By stability analysis, the finite‐time convergence of tracking error to a small neighborhood of the origin is proven. The effectiveness of the theoretical results is verified by examples.
Three‐phase algorithm for independent single‐phase grid frequency estimation under grid disturbances
Authors: Reza Md. Shamim , Hossain Md. Maruf 
Published: November 2022

AbstractThis paper reports an algorithm for quick and precise estimation of the single‐phase grid frequency under DC offset and both odd and even harmonics. The proposed single‐phase grid frequency estimation method is derived from a three‐phase relation. It relies on a recursive discrete Fourier transform‐based orthogonal signal generator and a two samples‐based algorithm. The proposed approach is simple, demands low computational effort and generates the single‐phase grid frequency at a cost of only one fundamental period as the transient response time under the DC offset and both odd and even harmonics condition. It also produces enhanced performance when compared to several single‐phase grid frequency estimation methods documented in the technical literature. Computer simulations and laboratory experiments are conducted to demonstrate the usefulness of the proposed single‐phase grid frequency estimation method.
Nonlinear kernel based feature maps for blur‐sensitive unsharp masking of JPEG images
Authors: Bhattacharya Jhilik , Marsi Stefano , Ramponi Giovanni 
Published: November 2022

AbstractIn this paper, a method for estimating the blur regions of an image is first proposed, resorting to a mixture of linear and nonlinear convolutional kernels. The blur map obtained is then utilized to enhance images such that the enhancement strength is an inverse function of the amount of measured blur. The blur map can also be used for tasks such as attention‐based object classification, low light image enhancement, and more. A CNN architecture is trained with nonlinear upsampling layers using a standard blur detection benchmark dataset, with the help of blur target maps. Further, it is proposed to use the same architecture to build maps of areas affected by the typical JPEG artifacts, ringing and blockiness. The blur map and the artifact map pair permit to build an activation map for the enhancement of a (possibly JPEG compressed) image. Extensive experiments on standard test images verify the quality of the maps obtained using the algorithm and their effectiveness in locally controlling the enhancement, for superior perceptual quality. Last but not least, the computation time for generating these maps is much lower than the one of other comparable algorithms.
MMFuse: A multi‐scale infrared and visible images fusion algorithm based on morphological reconstruction and membership filtering
Authors: Zhao Liangjun , Yang Hao , Dong Linlu , Zheng Liping , Asiya Manlike , Zheng Fengling 
Published: November 2022

AbstractThis study proposes a multi‐scale transformation method based on morphological reconstruction and membership filtering, termed as MMFuse, to fuse infrared and visible images. This method employs a fuzzy c‐means clustering algorithm for multi‐scale decomposition by introducing morphological reconstruction operations and modifying member partitions to ensure noise resistance and image detail preservation. In addition, the MMFuse utilises the image attributes of layers as their fusion weights at each scale for adaptive feature fusion, which reduces the difficulty of manual adjustment of fusion weights. Moreover, on the basis of histogram enhancement, a visible image enhancement method is proposed, which can help exploit additional texture details in low‐light visible images and transfer these details to the fused image. The experiments performed on public datasets indicates that the MMFuse can generate sharp and clean fused images with high robustness and good fusion results for the images corrupted by different noises. Moreover, the results of this method appear as high‐quality visible images with clear highlighted infrared targets.
The eROSITA Final Equatorial-Depth Survey (eFEDS)
Authors: Ota N. , Nguyen-Dang N. T. , Mitsuishi I. , Oguri M. , Klein M. , Okabe N. , Ramos-Ceja M. E. , Reiprich T. H. , Pacaud F. , Bulbul E. , Brüggen M. , Liu A. , Migkas K. , Chiu I. , Ghirardini V. , Grandis S. , Lin Y.-T. , Miyatake H. , Miyazaki S. , Sanders J. S. 
Published: November 2022

Context.We present the results of a systematic X-ray analysis of optically rich galaxy clusters detected by the Subaru Hyper Suprime-Cam (HSC) survey in the eROSITA Final Equatorial-Depth Survey (eFEDS) field.Aims.Through a joint analysis of the SRG (Spectrum Roentgen Gamma)/eROSITA and Subaru/HSC surveys, we aim to investigate the dynamical status of the optically selected clusters and to derive the cluster scaling relations.Methods.The sample consists of 43 optically selected galaxy clusters with a richness >40 in the redshift range of 0.16–0.89. We systematically analyzed the X-ray images and emission spectra using the eROSITA data. We identified the brightest cluster galaxy (BCG) using the optical and far-infrared databases. We evaluated the cluster’s dynamical status by measuring three quantities: offset between the X-ray peak and BCG position, the gas concentration parameter, and the number of galaxy-density peaks. We investigated the luminosity–temperature and mass–luminosity relations based on eROSITA X-ray spectra and HSC weak-lensing data analyses.Results.Based on these three measurements, we estimated the fraction of relaxed clusters to be 2(< 39)%, which is smaller than that of the X-ray-selected cluster samples. After correcting for a selection bias due to the richness cut, we obtained a shallowL−Tslope of 2.1 ± 0.5, which is consistent with the predictions of the self-similar model and the baseline model incorporating a mass–concentration relation. TheL−Mslope of 1.5 ± 0.3 is in agreement with the above-cited theoretical models as well as the data on the shear-selected clusters in the eFEDs field.Conclusions.Our analysis of high-richness optical clusters yields a small fraction of relaxed clusters and a shallow slope for the luminosity–temperature relation. This suggests that the average X-ray properties of the optical clusters are likely to be different from those observed in the X-ray samples. Thus, the joint eROSITA and HSC observations are a powerful tool in extending the analysis to a larger sample and understanding the selection effect with a view to establish cluster scaling relations.
Investigating the origin of optical and X-ray pulsations of the transitional millisecond pulsar PSR J1023+0038
Authors: Illiano G. , Papitto A. , Ambrosino F. , Miraval Zanon A. , Coti Zelati F. , Stella L. , Zampieri L. , Burtovoi A. , Campana S. , Casella P. , Cecconi M. , de Martino D. , Fiori M. , Ghedina A. , Gonzales M. , Hernandez Diaz M. , Israel G. L. , Leone F. , Naletto G. , Perez Ventura H. , Riverol C. , Riverol L. , Torres D. F. , Turchetta M. 
Published: November 2022

Context.PSR J1023+0038 is the first millisecond pulsar that was ever observed as an optical and UV pulsar. So far, it is the only optical transitional millisecond pulsar. The rotation- and accretion-powered emission mechanisms hardly individually explain the observed characteristics of optical pulsations. A synergistic model, combining these standard emission processes, was proposed to explain the origin of the X-ray/UV/optical pulsations.Aims.We study the phase lag between the pulses in the optical and X-ray bands to gain insight into the physical mechanisms that cause it.Methods.We performed a detailed timing analysis of simultaneous or quasi-simultaneous observations in the X-ray band, acquired with theXMM-Newtonand NICER satellites, and in the optical band, with the fast photometers SiFAP2 (mounted at the 3.6 m Telescopio Nazionale Galileo) and Aqueye+ (mounted at the 1.8 m Copernicus Telescope). We estimated the time lag of the optical pulsation with respect to that in the X-rays by modeling the folded pulse profiles with two harmonic components.Results.Optical pulses lag the X-ray pulses by ∼150 μs in observations acquired with instruments (NICER and Aqueye+) whose absolute timing uncertainty is much smaller than the measured lag. We also show that the phase lag between optical and X-ray pulsations lies in a limited range of values,δϕ ∈ (0 − 0.15), which is maintained over timescales of about five years. This indicates that both pulsations originate from the same region, and it supports the hypothesis of a common emission mechanism. Our results are interpreted in the shock-driven mini pulsar nebula scenario. This scenario suggests that optical and X-ray pulses are produced by synchrotron emission from the shock that formed within a few light cylinder radii away (∼100 km) from the pulsar, where its striped wind encounters the accretion disk inflow.
Challenging Neuromuscular Disease Cases
Authors: Bodkin Cynthia , Comer Adam , Felker Marcia , Gutmann Laurie , Jones Karra A. , Kincaid John , Payne Katelyn K. , Skinner Blair 
Published: November 2022

AbstractThe diagnosis of neuromuscular disorders requires a thorough history including family history and examination, with the next steps broadened now beyond electromyography and neuropathology to include genetic testing. The challenge in diagnosis can often be putting all the information together. With advances in genetic testing, some diagnoses that adult patients may have received as children deserve a second look and may result in diagnoses better defined or alternative diagnoses made. Clearly defining or redefining a diagnosis can result in understanding of potential other systems involved, prognosis, or potential treatments. This article presents several cases and approach to diagnosis as well as potential treatment and prognostic concerns, including seipinopathy, congenital myasthenic syndrome, central core myopathy, and myotonic dystrophy type 2.
Diagnostic Accuracy of V/Q and Q SPECT/CT in Patients with Suspected Acute Pulmonary Embolism: A Systematic Review and Meta-analysis
Authors: Squizzato Alessandro , Venturini Alice , Pelitti Valentina , Bellini Beatrice , Bernasconi Matteo , Depalo Tommaso , Corso Angelo , Riva Nicoletta 
Published: November 2022

Background Computed tomography (CT) pulmonary angiography has simplified the diagnostic approach to patients with clinically suspected acute pulmonary embolism (PE), but alternative imaging tests are still advocated. We aimed to systematically assess the diagnostic accuracy of ventilation/perfusion (V/Q) and Q single-photon emission CT combined with low-dose CT (SPECT/CT) for PE diagnosis.
Methods Studies evaluating the diagnostic accuracy of SPECT/CT for the diagnosis of acute PE were systematically searched in MEDLINE and EMBASE databases (up to August 2022). The QUADAS-2 tool was used for risk-of-bias assessment of the primary studies. A bivariate random-effects regression approach was used for summary estimates of both sensitivity and specificity. The PROSPERO registration number is CRD42021276538.
Results Eight studies, for a total of 1,086 patients, were included. The risk of bias of all included studies was high. The weighted mean prevalence of PE was 27.1% at the random-effects model. The SPECT/CT bivariate weighted mean sensitivity was 96% (95% confidence interval [CI]: 93–98%), with a bivariate weighted mean specificity of 95% (95% CI: 90–97%). At subgroup analysis, for V/Q SPECT/CT bivariate weighted mean sensitivity and specificity were 96% (95% CI: 89–98%) and 96% (95% CI: 91–99%), while for Q SPECT/CT they were 96% (95% CI: 92–98%) and 84% (95% CI: 66–93%), respectively.
Conclusion V/Q SPECT/CT has high sensitivity and specificity for the diagnosis of acute PE, meanwhile Q SPECT/CT has high sensitivity but limited specificity for the diagnosis of PE. Management studies will conclusively ascertain the actual role of SPECT/CT in the diagnostic workup of patients with suspected acute PE.
Japanese no datta and no de atta in written discourse
Authors: Nishi Hironori 
Published: November 2022

Abstract
The present study examines no datta and no de atta, which are the past-tense forms of no da and no de aru in written Japanese. The analysis demonstrates that the choice between the present-tense no da/no de aru and the past-tense no datta/no de atta does not affect the temporal interpretation when they follow past-tense morphemes. However, a close examination has also revealed that the past-tense no datta/no de atta cannot follow a past-tense morpheme when the ongoing mode of discourse is non-narrative, while no da/no de aru and no datta/no de atta are both available options when the discourse is in the mode of narrative. The present study also suggests that when no datta/no de atta is used in narrative, it indicates that the stated information is less impactful, less dramatic, and more temporally distant, compared to the cases where no da/no de aru is used.
Convergence rates for the joint solution of inverse problems with compressed sensing data
Authors: Ebner Andrea , Haltmeier Markus 
Published: November 2022

Abstract
Compressed sensing (CS) is a powerful tool for reducing the amount of data to be collected while maintaining high spatial resolution. Such techniques work well in practice and at the same time are supported by solid theory. Standard CS results assume measurements to be made directly on the targeted signal. In many practical applications, however, CS information can only be taken from indirect data

h
⋆

=

W

x
⋆

related to the original signal by an additional forward operator. If inverting the forward operator is ill-posed, then existing CS theory is not applicable. In this paper, we address this issue and present two joint reconstruction approaches, namely relaxed

ℓ
1

co-regularization and strict

ℓ
1

co-regularization, for CS from indirect data. As main results, we derive error estimates for recovering

x
⋆

and

h
⋆

. In particular, we derive a linear convergence rate in the norm for the latter. To obtain these results, solutions are required to satisfy a source condition and the CS measurement operator is required to satisfy a restricted injectivity condition. We further show that these conditions are not only sufficient but even necessary to obtain linear convergence.
Anomalous depinning of magnetic domain walls within the ferromagnetic phase of the Weyl semimetal Co3Sn2S2
Authors: Shen Zihao , Zhu X D , Ullah Rahim R , Klavins Peter , Taufour Valentin 
Published: November 2022

Abstract
We report bulk magnetization measurements and spatially resolved measurements of magnetic domains in

C
o

3

S
n

2

S

2

single crystals. The results indicate that a previously reported magnetic anomaly around 130 K is due to an anomalous domain wall depinning upon cooling. Our measurements also reveal a hysteresis between field-cooled-cooling and field-cooled-warming magnetization curves acquired under a constant magnetic field below 300 Oe. This observation rules out the possibility that the anomaly stems from a second-order phase transition. Our results further suggest that changes in the shape of hysteresis loops from 5 to 170 K are caused by an unusual temperature-dependent domain nucleation field that changes sign around 130 K. The Kerr rotation images of the magnetic domains confirm that the domain walls depin between 120 and 140 K.
Optoelectronic properties and applications of two-dimensional layered semiconductor van der Waals heterostructures: perspective from theory
Authors: Li Xueping , Yuan Peize , He Mengjie , Li Lin , Du Juan , Xiong Wenqi , Xia Congxin , Kou Liangzhi 
Published: November 2022

Abstract
Van der Waals heterostructures (vdWHs) which combine two different materials together have attracted extensive research attentions due to the promising applications in optoelectronic and electronic devices, the investigations from theoretical simulations can not only predict the novel properties and the interfacial coupling, but also provide essential guidance for experimental verification and fabrications. This review summarizes the recent theoretical studies on electronic and optical properties of two-dimensional semiconducting vdWHs. The characteristics of different band alignments are discussed, together with the optoelectronic modulations from external fields and the promising applications in solar cells, tunneling field-effect transistors and photodetectors. At the end of the review, the further perspective and possible research problems of the vdWHs are also presented.
Nonparametric estimation-based five-layer neural network RAIM with improved availability
Authors: Huang Guoxian , Xu Chengdong , Zheng Xueen 
Published: November 2022

Abstract
The monitoring performance of receiver autonomous integrity monitoring (RAIM) is restricted when visible satellites are limited in challenging environments. For that, artificial neural network-based RAIM methods have been investigated to improve the detection efficacy. Nevertheless, their corresponding fault exclusion and protection level algorithms are hardly provided for integrity assessments. In this regard, a nonparametric estimation-based RAIM method (NE-RAIM) is investigated to support fault detection, exclusion, and protection level calculation in this paper, boosting the declined monitoring capacity caused by the decrease of visible satellites. We propose a classification variable and a dynamic sampling method based on the variance inflation theory and then obtain the regression of the classification variable using nonparametric estimation. In this way, a five-layer NE-RAIM neural network is constructed to enhance the detection capability further. We also provide a NE-RAIM-based fault exclusion strategy by analyzing the detection result vector. Meanwhile, a protection level algorithm is proposed to enable direct integrity and availability evaluation based on searching the worst-case scenario where the missed detection risk is maximized. Results show that NE-RAIM requires a minimum pseudorange bias of 35 m to realize 100% detection rates under all single-faulty-satellite modes. Compared with least-square RAIM and advanced RAIM, NE-RAIM improves overall 24 h availability by 59.30% and 4.52%, respectively.
A fault diagnosis method for rotating machinery with variable speed based on multi-feature fusion and improved ShuffleNet V2
Authors: Luo Zhiyong , Tan Hongkai , Dong Xin , Zhu Guangming , Li Jialin 
Published: November 2022

Abstract
Using deep learning to classify the time-frequency images of bearing vibration signals has become a mainstream method in the field of fault diagnosis. Most studies, however, assume a constant rotational speed, and the accuracy and reliability of the diagnosis model diminishes once the rotational speed changes. Moreover, due to the large model size and high computational complexity, the convolutional neural networks are not suitable for industrial applications. This paper proposes a novel fault diagnosis method for rotating machinery with variable speed based on multi-feature fusion and improved ShuffleNet V2. First, complementary ensemble empirical mode decomposition is used to denoise the time-domain signal. Then the denoised time domain signal is converted into an angular domain signal using the resampling technique, while the envelope spectrums of the angular domain signals are obtained by the Hilbert transform, and the three signals are fused into an red-green-blue image form to enhance the sample features. Finally, to perform fast and accurate classification of the features, the squeeze and excitation blocks are placed after the branch splicing operation of ShuffleNet V2 to enhance the recognition accuracy, and the rectified linear unit activation function is replaced by the HardSwish activation function to avoid necrosis. The experimental results show that the fault recognition accuracy of the proposed method for rolling bearings under variable speed is 96.4%, and the size of the fault diagnosis model is 7.82 MB, indicating that the method can effectively improve the accuracy and ensures that the model size does not increase significantly.
Performance evaluation of peanut-shaped tubular auxetics with enhanced stiffness: a finite element study
Authors: Solak Kemal , ORHAN Suleyman Nazif 
Published: November 2022

Abstract
Auxetic materials or structures possess a negative Poisson’s ratio in contrast to conventional materials, and they shrink or expand transversely under uniaxial compression or tension, respectively. These unique deformation features leads to enhance the mechanical properties compared with the conventional materials. Auxetic tubular structures are of significant interest in the literature because of their superior mechanical qualities, applicability and extensive application. Various auxetic tubular structures with different geometries have been proposed and examined before including conventional peanut-shaped tubular structures. However, application of the peanut-shaped structures is limited due to their low stiffness. In this study, it is aimed to enhance the stiffness of the peanut-shaped tubular auxetic by either adding stiffener to the conventional structure or rotating the unit cell of the structure by a certain angle. Also, the effect of the above-mentioned modifications on the Poisson’s ratio of the structure is investigated. A total of 12 different peanut-shaped auxetics are modelled and the elastic behaviour of these structures under uniaxial compression is compared numerically using finite element simulation. As a result of this analysis, it is observed that both the Poisson’s ratio and stiffness values obtained from the models utilising stiffener were higher than the values obtained from their conventional counterparts. Besides, it is seen that the stiffness values increased while the Poisson’s ratios decreased with the rotation of the unit cell in all of the peanut-shaped tubular auxetics.