bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stabilisation for discrete‐time mean‐field stochastic Markov jump systems with multiple delays
Authors: Di Jianying , Tan Cheng , Zhang Zhengqiang , Wong Wing Shing 
Published: April 2023

AbstractIn this paper, the operator spectrum theory is applied to study the general stabilisation issues for mean‐field stochastic Markov jump systems (MF‐SMJSs), where multiple delays, multiplicative noises and homogeneous Markov chain exist simultaneously. The innovative contributions are described as follows. On the one hand, a feasible model augmented strategy is adopted to transform the dynamics into an auxiliary delay‐free form. By introducing a delay‐dependent linear Lyapunov operator (DDLLO), the Lyapunov/spectrum stabilising conditions are constructed, which are both necessary and sufficient. On the other hand, in terms of spectral analysis technique, the notions of interval stabilisation and essential destabilisation are generalised to MF‐SMJSs for the first time. The necessary and sufficient stabilisation conditions are derived, respectively, which can be verified availably by LMI feasibility tests. To confirm the effectiveness of the theoretic results, two illustrative examples are included.
Dynamic power management for all‐electric ships based on data‐driven propulsion power modelling
Authors: Luo Yingbing , Fang Sidun , Niu Tao , Liao Ruijin 
Published: April 2023

AbstractAmong all types of onboard load demands in all‐electric ships (AESs), the propulsion power predominates (usually >70%), and a large‐scale hybrid energy storage system (HESS) tends to be installed to provide multi‐timescale flexibility. A two‐part dynamic power management method is therefore proposed consisting of a novel multi‐scenario propulsion power model, which models the impacts of floating conditions separately from other uncertain factors, and a three‐layer dynamic allocation strategy based on feedforward control to coordinate the main/auxiliary generators and the HESS. Three case studies are adopted to verify the validity of the proposed method, including a real‐time simulation experiment in RT‐Lab. The proposed method has three advantages: (1) the proposed multi‐scenario propulsion power model accounts for power fluctuations brought by floating conditions, which greatly alleviates the required regulating flexibility for AESs; (2) the proposed three‐layer dynamic power allocation strategy better shares the power demand on the main/auxiliary generators and the HESS, which reduces battery power fluctuations and prevents the overdischarging/overcharging of HESS; and (3) the RT‐Lab experiment proves that the proposed method can be used in real‐time applications for AESs.
Using digital technologies to plan and manage the pipelines network in city
Authors: Huang Yufang , Peng Hongtao , Wen Luxin , Xing Tingyan 
Published: April 2023

AbstractPromoting the intelligent level of urban pipelines network planning and management is an important way to improve the rational development and utilisation of urban underground space and ensure the safe operation of urban infrastructure systems. The research on using the rapid and visual expression technology of 3D pipelines network model data, which has the functions of techno‐economic indexes calculation and automatic comparison of underground pipeline construction projects, effectively avoids possible errors in manual calculation and comparison and improves the efficiency and accuracy of the digital declaration process for project planning. In the 3D Geographic Information Systems (GIS) platform environment, this research help to develop many analysis and approval functions based on the data of the underground pipelines network model and the integrated pipes gallery Building Information Modelling, such as evaluating the compliance, feasibility and scientific of the planning scheme of the underground pipeline construction project, comparing the completion data with the data approved by the administrative departments of the project, evaluating the consistency of them and judging the compliance of the project completion data. The application results of some actual projects cases show that this research can improve the efficiency of planning declaration and approval analysis.
Retinal Periphlebitis May Be a Marker for Subphenotype in Multiple Sclerosis
Authors: Rebane Reili , Sonajalg Katrin , Kree Kaarel , Pulges Kristel , Chaloupka Karla , Vilisaar Janek 
Published: April 2023

AbstractRetinal periphlebitis (RPP) is a long-known entity in patients with multiple sclerosis (MS) and has not been revisited in the context of recent developments in MS pathogenesis and
heterogeneity. We present six cases of RPP in three female and three male MS patients. They all have relapsing-remitting MS and did not have or had minor ocular symptoms. It is important to
perform a thorough retinal examination in patients with MS, as peripheral and sectorial lesions could be unseen. A better knowledge on the concomitant involvement of retinal veins
contributes to the understanding of immunopathology, with potentially distinct autoantigenic targets. RPP might serve as a subphenotype marker that may influence treatment choices in MS.
Further research is needed.
Morphology of Serous Retinal Detachment in Morning Glory Optic Disc Anomaly in a Patient before and after Treatment with Systemic Carboanhydrase Inhibitors
Authors: Sinner Veronika , Valmaggia Christophe , Todorova Margarita 
Published: April 2023

Abstract
Background Morning glory optic disc anomaly (MGODA) is a rare congenital defect of the optic nerve head. The optic nerve is enlarged, and its conical excavation is filled with glial
tissue. It may be associated with cerebral malformations and ocular complications, whereas serous retinal detachment occurs in 38% of affected patients. Surgical treatment of detachment
showed poor visual outcome in the past and conservative treatment options are scarce.
Case A woman with MGODA presented in our clinic with sudden vision loss due to serous retinal detachment. She denied any previous ophthalmological problems and her past medical
history was unremarkable. Vision testing showed normal visual acuity in her left eye and finger counting in her right eye. Slit lamp examination was unremarkable. Fundus examination of the
right eye showed retinal detachment without holes or traction membranes and an enlarged optic disc with raised peripapillary tissue and glial tissue in the center of the optic disc. Due to
the pathognomonic otpic disc finding, we diagnosed MGODA complicated by a serous retinal detachment. We treated the patient with systemic carboanhydrase inhibitors and documented the initial
clinical findings as well as the course of disease under treatment by optical coherent tomography (OCT), fundus autofluorescence imaging (FAF), and visual field testing. During follow-up, we
detected noticeable subretinal fluid regression and improvement in visual acuity.
Conclusion The application of oral carboanhydrase inhibitors appears to be a valid therapeutic option in patients with MGODA-associated serous macular detachment. OCT and FAF imaging
are useful modalities for documentation of subretinal fluid regression and structural changes in the peripapillary region.
Feasibility and Clinical Utility of Wide-Field Optical Coherence Tomography Angiography Compared to Ultrawide-Field Fluorescein Angiography in Patients with Diabetic
Retinopathy
Authors: Bajka Anahita , Bacci Tommaso , Wiest Maximilian Robert Justus , Brinkmann Max , Hamann Timothy , Toro Mario , Zweifel Sandrine Anne 
Published: April 2023

Abstract
Purpose To test the diagnostic performance of a novel wide-field swept-source optical coherence tomography angiography (WF-OCTA) device in detecting retinal non-perfusion (NP) and
neovascularization (NV) in eyes with diabetic retinopathy (DR) and to compare this with the standard-of-care imaging method, ultrawide-field fluorescein angiography (UWFFA).
Methods Prospective, observational, cross-sectional single-center study evaluating patients with DR imaged with WF-OCTA (Xephilio OCT-S1; Canon Inc., Tokyo, Japan) and UWFFA (Optos
California; Optos plc, Dunfermline, United Kingdom). WF-OCTA images of the superficial capillary plexus (SCP) consisted of single capture 23 × 20 mm scans centered on the fovea. In UWFFA and
WF-OCTA, qualitative and quantitative measurements were assessed to analyze retinal NP and NV. Vessel density (VD) in WF-OCTA and ischemic index (ISI) in UWFFA were calculated.
Qualitatively, the presence of NV and NP was assessed in both WF-OCTA (posterior pole/midperipheral retina) and UWFFA (posterior pole/midperipheral retina/far peripheral retina).
Results Ten consecutive patients with variable DR severity stages (17 eyes) were evaluated. Two eyes had to be excluded due to low quality of the WF-OCTA images. Therefore, 15 eyes
were included for final analysis. Mean age was 57 years (± SD: 15.2) and the male : female ratio was 4 : 6. UWFFA identified retinal NP in 11 eyes (73%). Posterior pole NP was present in
eight eyes, midperiphery NP was present in eight eyes, and far periphery NP was present in seven eyes. Retinal NV was detected in four eyes using UWFFA (two eyes with only midperiphery NV).
WF-OCTA detected retinal NP in 11 eyes (9 cases with both posterior pole and midperiphery NP). NV was detected in three eyes (two with posterior pole and midperipheral NV, four with only
midperipheral NV). Mean VD evaluated using WF-OCTA of the SCP was 0.40 (± SD: 0.1), and mean ISI in UWFFA was 0.09 (± SD: 1.3). Spearmanʼs test did not show a significant correlation between
the ISI in UWFFA and VD in WF-OCTA (p = 0.803).
Conclusions Noninvasive WF-OCTA has great potential for the management of patients with DR. This new imaging modality might be useful in daily clinical routine in order to lower the
number of invasive examinations. However, in a small percentage of patients, OCTA images cannot be reliably graded for the presence of NP and NV. In these cases, conventional FA needs to be
performed.
Central Retinal Vein Occlusion after COVID-19 Infection
Authors: Nguyen Ngoc-Chau Isabelle , Eandi Chiara , Guex-Crosier Yan 
Published: April 2023

Abstract
Introduction Central retinal vein occlusions are not well-known complications of SARS-CoV-2 infection. We describe a case of central retinal vein occlusion secondary to COVID-19, and
a review of the literature was performed.
History and Signs A 47-year-old woman with no underlying ocular or medical condition presented to the hospital complaining about sudden onset of multiple scotomas in her left eye. A
COVID-19 infection was confirmed 2 days previously by a PCR test that was performed 2 days after the onset of symptoms. Medical history revealed no risk factors and no oral contraception.
Her best-corrected visual acuity was 1.0 in the right eye and 0.04 in the left eye. Clinical exam showed a left relative afferent pupillary defect and a nasally localized papilledema on
fundoscopy of the left eye. Multiple dot and blot hemorrhages were also present. Optical coherence tomography revealed cystoid macular edema and paracentral acute middle maculopathy. The
results of the fluoresceine angiography were consistent with central retinal vein occlusion. Laboratory workup later revealed an elevated fibrinogen level, corresponding to the
COVID-19-induced hypercoagulable state. No other prothrombotic conditions were found. The patient immediately received an intravitreal injection of Lucentis (ranibizumab) after diagnosis.
Complete resolution of the retinal hemorrhages and papilledema was observed 1.5 months after treatment and the final visual acuity was 1.25 in the left eye.
Conclusion Coagulation abnormalities are frequently observed in infectious diseases such as COVID-19 infection and the resulting prothrombotic state can sometimes lead to retinal
vascular complications, including central retinal vein occlusion, irrespective of the presence of other classical risk factors. The consideration of this information could help clinicians
establish a prompt diagnosis and therefore appropriate treatment, which could hopefully lead to complete healing of retinal lesions.
Determinants of customer recovery in retail banking—lessons from a German banking case study
Authors: Hübner Felix , Herberger Tim Alexander , Charifzadeh Michel 
Published: April 2023

Abstract
Due to the increased willingness of retail banking customers to switch and churn their banking relationships, a question arises: Is it possible to win back lost customers, and if so, is such a possibility even desirable after all economic factors have been considered? To answer these questions, this paper examines selected determinants for the recovery of terminated customer–bank relationships from the perspective of former customers. This study therefore evaluates for the first time, empirically and systematically with reference to a German Sparkasse as a case-study setting, whether lost customers have a sufficient general willingness to return (GWR) a retail banking relationship. From our results, a correlation is shown between the GWR a banking relationship and some specific determinants: seeking variety, attractiveness of alternatives and customer satisfaction with the former business relationship. In addition, we show that a customer’s GWR varies depending on the reason for churn and is surprisingly greater when the customer defected for reasons that lie within the scope of the customer himself. Despite the case-study character, however, our results provide relevant insights for other banks and, in particular, this applies to countries with a comparable banking system.
Enhancement of the magnetocaloric effect in geometrically frustrated cluster spin glass systems
Authors: Zimmer F M , Mourão R , Schmidt M , Tumelero M A , Magalhaes S G 
Published: April 2023

Abstract
In this work, we theoretically demonstrate that a strong enhancement of the magnetocaloric effect is achieved in geometrically frustrated cluster spin-glass systems just above the freezing temperature. We consider a network of clusters interacting randomly which have triangular structure composed of Ising spins interacting antiferromagnetically. The intercluster disorder problem is treated using a cluster spin glass mean-field theory, which allows exact solution of the disordered problem. The intracluster part can be solved using exact enumeration. The coupling between the inter and intracluster problem incorporates the interplay between effects coming from geometric frustration and disorder. As a result, it is shown that there is the onset of cluster spin glass phase even with very weak disorder. Remarkably, it is exactly within a range of very weak disorder and small magnetic field that is observed the strongest isothermal release of entropy.
A deep convolutional neural network model with two-stream feature fusion and cross-load adaptive characteristics for fault diagnosis
Authors: Pan Wujiu , Qu Haoyong , Sun Yinghao , Wang Minghai 
Published: April 2023

Abstract
Research aimed at diagnosing rolling bearing faults is of great significance to the health management of equipment. In order to solve the problem that rolling bearings are faced with variable operating conditions and the fault features collected are single in actual operation, a new lightweight deep convolution neural network model called FC-CLDCNN, composed of a convolution pooling dropout group with two-stream feature fusion and cross-load adaptive characteristics, is proposed for rolling bearing fault diagnosis. First, the original vibration signal is transformed into a one-dimensional frequency domain signal and a two-dimensional time-frequency graph by fast Fourier transform and continuous wavelet transform. Then, the one-dimensional frequency domain signal and two-dimensional time-frequency diagram are input into the two channels of the model respectively to extract and recognize the one-dimensional and two-dimensional features. Finally, the one-dimensional and two-dimensional features are combined in the fusion layer, and the fault types are classified in the softmax layer. FC-CLDCNN has the characteristics of two-stream feature fusion, which can give full consideration to the characteristics of rolling bearing fault data, so as to achieve efficient and accurate identification. The Case Western Reserve University (CWRU) dataset is used for training and testing, and it is proved that the proposed model has high classification accuracy and excellent adaptability across loads. The Machinery Failure Prevention Technology (MFPT) dataset was used to validate the excellent diagnostic performance and generalization of the proposed model.
A Hamiltonian graph model for the cooperative toughening of crystalline phases and covalent adaptable networks in semi-crystalline thermoset epoxy
Authors: Zhang Jing , Lu Haibao , Elmarakbi Ahmed , Fu Yong-Qing 
Published: April 2023

Abstract
The existence of bond exchange reactions and covalent adaptable networks (CANs) in thermoset epoxy has facilitated its self-healing and reversible mechanical capabilities. However, the toughening mechanisms and cooperative coupling of these crystal phases and CANs in a semi-crystalline thermoset epoxy have not been well understood. In this study, a Hamiltonian graph model is formulated to examine toughening mechanisms in the semi-crystalline thermoset epoxy based on the vertices and paths, both of which are employed to describe the crystalline phases and CANs, respectively. A free-energy equation is also developed based on the tail and tie free energy functions to investigate the cooperative coupling of crystal phases and CANs. The crystal phases increase the cross-linking density of the CANs, which helps the crystal phases with a homogeneous dispersion. Moreover, an extended Maxwell model is developed along with the Hamiltonian graph to explore the coupling effect of crystal phase and CAN on the mechanical behaviors of semi-crystalline thermoset epoxy. A constitutive stress–strain relationship is then proposed to describe the self-healing and toughening behaviors of semi-crystalline thermoset epoxy. The stress–strain relationship of semi-crystalline polymers, which incorporates crystal phases and CANs, has been thoroughly investigated using the analytical results obtained from the proposed Hamiltonian graph model. Finally, the effectiveness of the proposed model is verified using the finite element analysis method and a set of experimental data.
Spacing ratio statistics of multiplex directed networks
Authors: Raghav Tanu , Jalan Sarika 
Published: April 2023

AbstractEigenvalues statistics of various many-body systems have been widely studied using the nearest neighbor spacing distribution under the random matrix theory framework. Here, we numerically analyze eigenvalue ratio statistics of multiplex networks consisting of directed Erdős-Rényi random networks layers represented as, first, weighted non-Hermitian random matrices and then weighted Hermitian random matrices. We report that the multiplexing strength rules the behavior of average spacing ratio statistics for multiplexing networks represented by the non-Hermitian and Hermitian matrices, respectively. Additionally, for both these representations of the directed multiplex networks, the multiplexing strength appears as a guiding parameter for the eigenvector delocalization of the entire system. These results could be important for driving dynamical processes in several real-world multilayer systems, particularly, understanding the significance of multiplexing in comprehending network properties.
Nonequilibrium Josephson diode effect in periodically driven SNS junctions
Authors: Soori Abhiram 
Published: April 2023

Abstract
In typical Josephson junctions, the Josephson current is an odd function of the superconducting phase difference. Recently, diode effect in Josephson junctions is observed in experiments wherein the maximum and the minimum values of the Josephson current in the current-phase relation do not have the same magnitude. We propose a superconductor-normal metal-superconductor (SNS) junction where Josephson diode effect manifests when the normal metal region is driven. Time reversal symmetry and inversion symmetry need to be broken in the SNS junction for the diode effect to show up. We calculate long time averaged current and show that the system exhibits diode effect for two configurations of the driven SNS junction - one in which inversion symmetry is broken in the undriven part of the Hamiltonian and the other wherein both the symmetries are broken by the driving potential. In the latter configuration, a nonzero current known as anomalous current appears at the junction in absence of phase bias. In the proposed setup, the diode effect vanishes in the adiabatic limit.
Joint remote state preparation in multi-hop network under noisy environment
Authors: Zhang Zhihua , Chen Min 
Published: April 2023

Abstract
Joint remote state preparation is an important method to transmit quantum information with more senders and higher security. In this paper, we present a deterministic joint remote state preparation scheme in multi-hop network with two senders and N intermediate parties, using only projective measurements and recovery operations. We describe the scheme under the framework of density matrix to investigate the performance of the scheme in noisy environment. The relation of fidelity, noise rate and the number of intermediate nodes is given for three types of noise. It is revealed that the average fidelity attains its minimum when the noise rate is at the most uncertain point, decreases monotonically as the number of intermediate nodes increases. However, in some special cases, the average fidelity of the multi-hop scheme is greater than some existing one step joint remote state preparation scheme.
Shielding effectiveness study of CoZCF-MWCNT nanocomposite materials and its possible application as EM pollution reducer
Authors: Chakraborty Tanmoy , Sharma Shivam , Das Koustav , Mahapatra Abhik Sinha , Saha Aliva , Das Solanky , Saha Suman , Chakrabarti Sandip , Das Sukhen , Sutradhar Soumyaditya 
Published: April 2023

Abstract
In this article, Co0.40Zn0.40Cu0.20Fe2O4 (CoZCF) nanoparticles were synthesized using sol-gel method. The Field Emission Scanning Electron Microscopy (FESEM) micrographs delineate the proper encapsulation of the soft magnetic nanoparticles inside the matrix of multi-walled carbon nanotubes (MWCNTs) and ensuring proper fabrication of the CoZCF-MWCNT nanocomposites. The X-ray Diffraction (XRD) analysis and Raman spectroscopy confirms the presence of the multi-phase nature of CoZCF-MWCNT nanocomposites. The static magnetic development of the nanocomposites as a function of temperature and the shielding effectiveness behavior in X-band and Ku-band of microwave radiation have been studied herein. Different static magnetic quantities were extracted. The magnetic observation confirms the presence of ferrimagnetic state with magnetization of 48.4 and 44.8 emu g−1 respectively at room temperature (RT) in CoZCF-MWCNT nanocomposites. The variation of hysteresis loop area with the lowering of temperature depicts the transformation of CoZCF-MWCNT nanocomposites from superparamagnetic to ferromagnetic state. The shielding effectiveness study was conducted in the X- and Ku- bands of electromagnetic radiation and the observation shows a high value of total shielding effectiveness (SET) of ∼ −31.3 dB corresponding to 10.7 GHz. This is due to the high of attenuation of > 99.9% and wide bandwidth. This improved SET of CoZCF-MWCNT nanocomposites gives us completely new insights for the construction of microwave absorber/Radar Absorbing Materials (RAMs) that can contest against harmful electromagnetic pollution.