bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Aberrant Right Subclavian Artery–Esophageal Fistula—A Fatal Complication of a Common Anomaly: A Case Report and Review of Literature
Authors: Subramanian Pavithra C. , Chidanandaswamy Naveen , Soundararajan Raghuraman , Bhujade Harish , Prabhakar Nidhi 
Published: November 2022

AbstractAn aberrant right subclavian artery (ARSA), also called as arteria lusoria, is one of the most common aortic arch anomalies. ARSA–esophageal fistula is a rare, life-threatening complication, with only 37 cases reported in literature. We describe a case of a young girl who developed acute episode of massive hematemesis after the recovery from novel coronavirus disease 2019 (COVID-19) pneumonia. Computed tomography (CT) angiography showed ARSA with retroesophageal course and active contrast leak in esophagus. Digital subtraction angiography confirmed the site of active contrast extravasation from the ARSA. However, the patient succumbed to hypovolemic shock even before the endovascular or surgical interventions could be done.
Tuberous Sclerosis Complex: Prenatal Diagnosis Using Ultrasound and Magnetic Resonance Imaging—A Report of Two Cases
Authors: Santana Eduardo Félix Martins , Esteves Ana Maria Faria , Delorenzo Daniella Guerra , Hygino Celso , Werner Heron , Araujo Júnior Edward 
Published: November 2022

AbstractTuberous sclerosis complex (TSC) is a multiple system neurocutaneous syndrome with a genetic disorder caused by different mutations in TSC1 or TSC2. Usually, TSC causes tumors in the heart, brain, kidneys, eyes, and lungs. However, tumors can also develop in any other organs. The prenatal diagnosis of TCS is based on the identification of fetal cardiac tumors by ultrasound and brain subependymal nodules, usually identified by fetal magnetic resonance imaging (MRI). We present two case reports of the prenatal diagnosis of TCS using both ultrasound and MRI, which were confirmed by clinical and radiological methods in the postnatal period accordingly.
Understanding the real-time interaction between middle-aged consumers and online experts based on the COM-B model
Authors: Li Lifu , Kang Kyeong 
Published: November 2022

AbstractThis paper presents a study of middle-aged online consumers’ specific shopping behaviour on live streaming platforms and analyses the distinct marketing strategy provided by online experts. Influenced by unique social and cultural backgrounds, middle-aged online consumers lack related shopping experience and keep counterfeiting concerns to live streaming shopping, making them prefer to interact with online experts before making final decisions. Based on the COM-B Behaviour Changing theory and the Emotional attachment theory, the research model has been established in this study, and it divides influencing factors into the Emotion unit, Opportunity unit and Capability unit. To test the relationships between influencing factors and middle-aged online consumers’ interactive motivation, the partial least-squares path modelling and variance-based structural equation modelling (PLS-SEM) have been applied on the SmartPLS. By analysing 450 samples, the study shows that the counterfeiting concern and ease of use factors positively impact online consumers’ motivation to interact with online experts, and self-efficacy plays a negative role.
Irruptive dynamics of the brush-tailed bettong (
Authors: Short Jeff 
Published: November 2022

Context The fluctuating fortunes of the brush-tailed bettong have seen this species classified as ‘Rare or Likely to Become Extinct’ in the 1970s, delisted and hailed as a conservation success in the 1990s, and re-listed as ‘Critically Endangered’ in 2008. Key actions to recover this species, broad-scale fox control and reintroduction to fox-free habitat, have had variable success. Aims To monitor the reintroduction of bettong to fox-free habitat of Wadderin Sanctuary in the eastern wheatbelt of Western Australia. Methods Growth of the population was monitored over a 12-year period by regular trapping throughout the sanctuary. Key results The population increased monotonically to peak at 305 individuals (0.71 ha−1) at 7.5 years following release, before subsequent decline. Population growth was accompanied by a significant decline in mean condition and a reduction in the proportion of females with pouch young or lactating, presumably owing to resources per head gradually declining. The proportion of large pouch young relative to total young carried by females declined as woylie numbers increased, suggesting that, increasingly, pouch young did not go to full term. Declines in population number, condition and reproduction were exacerbated by dry seasons. Bettongs established successfully, despite a succession of single feral cats within the 427-ha sanctuary. The removal of the last cat, 8 years following the establishment of bettongs, had no obvious impact on bettong numbers, as, at this point, their population was stabilising because of declining body condition and reduced reproductive output. Conclusions The observed pattern of population growth of bettongs was consistent with an herbivore irruption consequent of a release of a species to new habitat. Decline following peak numbers appeared as a result of density-dependent resource limitation (declining resources per head with increased abundance) interacting with years of low rainfall. Implications The dynamics of irruption and decline of herbivores are relevant to management of reintroduced populations to fenced predator-free sites and, potentially, to unfenced populations following release from predation.
Second comment on ‘Maxwell’s equations and Lorentz transformations’
Authors: Beléndez Augusto , Sirvent-Verdú Joan Josep , Gallego Sergi 
Published: November 2022

Abstract
Aguirregabiria et al (2022) Eur. J. Phys.
43 035603 obtained the Lorentz transformations by assuming the invariance of Maxwell’s equations in vacuum under inertial transformations. However, they do not initially assume that these transformations must be linear. Later, Redzic (2022) Eur. J. Phys.
43 068002 indicates that it is necessary to explicitly assume the linearity of these transformations to avoid a remarkable and surprising result. Now it is shown that it is not necessary to make the assumption that the transformation equations between inertial reference frames must be linear, but that this linearity is a consequence of the homogeneity of space-time.
Improving the deconvolution of spectra at finite temperatures by replacing spectrum with a neural network
Authors: Xie Haidong , Xiang Xueshuang , Chen Yuanqing 
Published: November 2022

Abstract
In condensed matter physics studies, spectral information plays an important role in understanding the composition of materials. However, it is difficult to obtain a material’s spectrum information directly through experiments or simulations. For example, the spectral information deconvoluted by scanning tunneling spectroscopy suffers from the temperature broadening effect, which is a known ill-posed problem and makes the deconvolution results unstable. Existing methods, such as the maximum entropy method, tend to select an appropriate regularization to suppress unstable oscillations. However, the choice of regularization is difficult, and oscillations are not completely eliminated. We believe that the possible improvement direction is to pay different attention to different intervals. Combining stochastic optimization and deep learning, in this paper, we introduce a neural network-based strategy to solve the deconvolution problem. Because the neural network can represent any nonuniform piecewise linear function, our method replaces the target spectrum with a neural network and can find a better approximation solution through an accurate and efficient optimization. Experiments on theoretical datasets using superconductors demonstrate that the superconducting gap is more accurately estimated and oscillates less. Plug in real experimental data, our approach obtains clearer results for material analysis.
Integrated fault diagnosis of rolling bearings based on improved multichannel singular spectrum analysis and frequency–spatial domain decomposition
Authors: Sun Wanfeng , Sun Yu , Wang Yu 
Published: November 2022

Abstract
Extensive fault information can be obtained from the vibration signals of rotating machines with faulty rolling bearings. However, the diagnosis of compound faults is challenging because of their easy mix-ups, which can lead to faulty diagnosis and judgment. This study improves the multichannel singular spectrum analysis (MSSA) by using convex optimization. In addition, an integrated fault diagnosis technology for rolling bearings using an improved MSSA and frequency–spatial domain decomposition was developed. This approach involves two primary stages: signal preprocessing and fault diagnosis. The proposed method was tested to diagnose faults in the rolling bearings of pellet mills. Signal preprocessing can significantly improve the quality of a vibration signal and preserve modal information that characterizes a fault. Fault diagnosis identifies the modal parameters entirely and accurately from the reconstructed vibration signal, and determines the degree of damage. The proposed method can aid in the robust diagnosis of faulty rolling bearings under severe operating conditions.
Designing porous photonic crystals for MIR spectral region—a deeper insight into the anodic alumina layer thickness versus charge density relation
Authors: Białek Ewelina , Włodarski Maksymilian , Norek Małgorzata 
Published: November 2022

Abstract
The mid-infrared region (MIR) is crucial for many applications in security and industry, in chemical and biomolecular sensing, since it contains strong characteristic vibrational transitions of many important molecules and gases (e.g. CO2, CH4, CO). Despite its great potential, the optical systems operating in this spectral domain are still under development. The situation is caused mainly by the lack of inexpensive and adequate optical materials which show no absorption in the MIR. In this work, we present an easy and affordable way to develop 1D photonic crystals (PCs) based on porous anodic alumina for MIR region. The porous PCs were produced by the pulse anodization of aluminum using charge-controlled mode. The first order photonic stopbands (λ
1) were located within ca. 3.5–6.5 μm. Annealing of the material at 1100 °C for an hour has allowed to recover the wavelength range from around 5.8 to 7.5 μm owing to the decomposition of the absorption centers (oxalate anions) present in the anodic oxide framework while maintaining the PC structural stability. The spectral position and the shape of the resonances were regulated by the charge passing under high (U
H) and low (U
L) voltage pulses, porosity of the corresponding d
H and d
L segments, and dura tion of the process (t
tot). The thickness of the d
H and d
L layers was proportional to the charge passing under respective pulses, with the proportionality coefficient increasing with the applied voltage. Despite the constant charge (2500 mC cm−2) applied during the anodization, the thickness of anodic alumina (d) increased with applied voltage (10–60 V) and anodizing temperature (5 °C–30 °C). This behavior was ascribed to the different kinetics of the anodic alumina formation prompted by the variable electrochemical conditions. The photonic material can be used in portable nondispersive gas sensors as an enhancement layer operating up to around 9 μm.
Accumulation of sublethal radiation damage and its effect on cell survival
Authors: Vassiliev Oleg N 
Published: November 2022

Abstract

Objective. Determine the extent of sublethal radiation damage (SRD) in a cell population that received a given dose of radiation and the impact of this damage on cell survival. Approach. We developed a novel formalism to account for accumulation of SRD with increasing dose. It is based on a very general formula for cell survival that correctly predicts the basic properties of cell survival curves, such as the transition from the linear-quadratic to a linear dependence at high doses. Using this formalism we analyzed extensive experimental data for photons, protons and heavy ions to evaluate model parameters, quantify the extent of SRD and its impact on cell survival. Main results. Significant accumulation of SRD begins at doses below 1 Gy. As dose increases, so does the number of damaged cells and the amount of SRD in individual cells. SRD buildup in a cell increases the likelihood of complex irrepairable damage. For this reason, during a dose fraction delivery, each dose increment makes cells more radiosensitive. This gradual radosensitization is evidenced by the increasing slope of survival curves observed experimentally. It continues until the fraction is delivered, unless radiosensitivity reaches its maximum first. The maximum radiosensitivity is achieved when SRD accumulated in most cells is the maximum damage they can repair. After this maximum is reached, the slope of a survival curve, logarithm of survival versus dose, becomes constant, dose independent. The survival curve becomes a straight line, as experimental data at high doses show. These processes are random. They cause large cell-to-cell variability in the extent of damage and radiosensitivity of individual cells. Significance. SRD is in effect a radiosensitizer and its accumulation is a significant factor affecting cell survival, especially at high doses. We developed a novel formalism to study this phenomena and reported pertinent data for several particle types.
Electron acceleration in supernova remnants
Authors: Bohdan Artem 
Published: November 2022

Abstract
Supernova remnants (SNRs) are believed to produce the majority of galactic cosmic rays (CRs). SNRs harbor non-relativistic collisionless shocks responsible for the acceleration of CRs via diffusive shock acceleration (DSA), in which particles gain their energy via repeated interactions with the shock front. Since the DSA theory involves pre-existing mildly energetic particles, a means of pre-acceleration is required, especially for electrons. Electron injection remains one of the most troublesome and still unresolved issues and our physical understanding of it is essential to fully comprehend the physics of SNRs. To study any electron-scale phenomena responsible for pre-acceleration, we require a method capable of resolving these small kinetic scales and particle-in-cell simulations that fulfill this criterion. Here, I report on the latest achievements made by utilizing kinetic simulations of non-relativistic high Mach number shocks. I discuss how the physics of SNR shocks depends on the shock parameters (e.g. the shock obliquity, Mach number, the ion-to-electron mass ratio) as well as the processes responsible for the electron heating and acceleration.
An effective solution to optimize the saddle-shape warpage in 3D IC applications by patterning laser treatment
Authors: Fan Dongyu , Xia Zhiliang , Xie Wei , Zhang Jing , Yang Yuancheng , Zhang Kun , Liu Lei , Yan Yuan , Zhou Wenxi , Huo Zongliang 
Published: November 2022

Abstract
The asymmetric saddle-shape warpage is one of the hardest limitations on the development of three-dimensional integrated circuits (3D ICs) as the vertical integration increases. To improve the product yield, an effective method for saddle-shape warpage reduction in 3D IC production by backside patterning laser annealing treatment with a multilayer structure is investigated in this work. The reduction of saddle-shaped warpage by patterning laser treatment is the first time in 3D NAND array wafer application and through simulations and experiments, the laser annealing pattern is determined. In addition, the materials of the multilayer structure are selected as amorphous Al2O3 and TiN according to experiments and theoretical analysis. As a result, a conformal 47.8 µm optimization of the saddle-shape warpage is successfully reached in a control wafer test by patterning laser annealing treatment.
A first principles study of structural, electronic, elastic, thermal and optical properties of SiZr

O3

and GeZr

O3
Authors: Ajay G , Alam Aftab , Sirajuddeen M Mohamed Sheik 
Published: November 2022

Abstract
In the present work, the full-potential linearized augmented plane wave method is implemented to study the structural, electronic, elastic, thermal, and optical properties of semiconductor-based cubic perovskite compounds of SiZr

O

3

and GeZr

O

3

. The magnetic phase stability calculations are performed to identify the most stable magnetic state. SiZr

O

3

and GeZr

O

3

are predicted to be stable in anti-ferromagnetic phase. The ground state properties such as lattice parameter, elastic constants, bulk modulus, and pressure derivative are calculated. From the band structure calculations, these compounds exhibit narrow band gaps, which are semiconducting in nature. From the values of bulk to shear modulus B/G ratio (Pugh’s ratio), the compounds are found to be ductile. The values of Poisson’s ratio and Zener’s anisotropic index suggest that these compounds show covalent bonding and weak isotropy. A larger Debye temperature implies that compounds have strong interatomic bonding, greater hardness, high melting temperature, and higher mechanical wave velocity. The optical properties such as optical conductivity, reflectivity, and absorption coefficient suggest that SiZr

O

3

could be a more suitable compound for solar cell applications.
Emergent thermophoretic behavior in chemical reaction systems
Authors: Liang (梁师翎) Shiling , Maria Busiello Daniel , De Los Rios Paolo 
Published: November 2022

Abstract
Exposing a solution to a temperature gradient can lead to the accumulation of particles on either the cold or warm side. This phenomenon is known as thermophoresis, and its microscopic origin is still debated. Here, we show that thermophoresis can be observed in any system having internal states with different transport properties, and temperature-modulated rates of transitions between the states. These internal degrees of freedom might be configurational, chemical or velocity states. We also derive an expression for the Soret coefficient, which decides whether particles accumulate on the cold or warm side. Our framework can be applied to any chemical reaction system diffusing in a temperature gradient. It also captures the possibility to observe a sign inversion of the Soret coefficient as the competition between chemical and velocity states. We establish thermophoresis as a genuine non-equilibrium effect, originating from internal microscopic currents consistent with the necessity of transporting heat from warm to cold regions.
Emittance self-compensation in blow-out mode
Authors: Shamuilov Georgii , Opanasenko Anatoliy , Pepitone Kévin , Tibai Zoltán , Goryashko Vitaliy 
Published: November 2022

Abstract
We report an unusual regime of emittance self-compensation in an electron bunch generated in the blow-out mode by a radio-frequency photocathode gun. This regime is observed for a strong space-charge field on the cathode reaching around 30%–35% of the accelerating field. Simulations clearly show an initial growth and a subsequent self-compensation of projected emittance in a divergent electron bunch originating from the effects of: (a) strong space-charge forces of mirror charges on the cathode, (b) an energy chirp in the bunch and (c) substantial re-shaping of the electron bunch. Furthermore, we show analytically and numerically how a complex interplay between these effects leads to emittance self-compensation at the gun exit—the effect that is normally observed only in the presence of focusing fields.
Mesoscopic simulation of MHD mixed convection of non-newtonian ferrofluids with a non-uniformly heated plate in an enclosure
Authors: Hossain Amzad , Nag Preetom , Molla Md Mamun 
Published: November 2022

Abstract
Mixed convective study has been popular in recent years because of its large applications, including the cooling of electronic devices, furnaces, lubrication technologies, high-performance building insulation, multi-shield structures used in nuclear reactors, food processing, glass manufacturing, solar power collectors, drying technologies, chemical processing equipment, and others involve mixed convection in a lid-driven cavity flow problems. Graphics process unit (GPU) based multiple-relaxation-time(MRT) lattice Boltzmann method (LBM) has been employed for investigating the numerical simulation of magnetohydrodynamic(MHD) mixed convection with a non-uniformly heated plate at the mid of an enclosure. The physical model consists of a two-dimensional square enclosure with the top wall moving at a constant speed. Thermally adiabatic conditions are imposed on the top and bottom walls, while the two vertical walls are cold. In the center of the enclosure, a plate has been placed that is non-uniformly heated. A magnetic field is applied with different angles of inclination. Numerical simulations were performed for various influential parameters such as Richardson number (Ri), Hartmann number (Ha), power-law index (n), ferroparticles volume fraction (ϕ), magnetic field angle (γ) to study the flow phenomena in terms of the velocity and temperature distributions as well as streamlines and isotherms, respectively. The present study also investigates entropy generation due to the convective heat transfer flow for industrial purposes. The results reveal that as the Richardson number rises, the average Nusselt number rises, and as the Hartmann number rises, the average Nusselt number reduces. Furthermore, it is found that the average Nusselt number is inversely proportional to the power-law index. Total entropy generation increases with the increase of the power-law index and Richardson number. Entropy due to fluid friction, heat transfer, and total entropy shows a maximum at γ = 90°. Previously, MHD natural convection of the ferrofluid has been studied in a square cavity with a non-uniformly heated plate for the Newtonian fluid using the finite volume method. The aim of the present investigation is to study the MHD mixed convection with non-Newtonian ferrofluid using the GPU-based lattice Boltzmann method, which provides quicker and more robust results.
Effect of interphase thickness and fiber diameter on elastic properties of composites using multi-scale modelling
Authors: Udatha Pavani , Sekhar A S , Velmurugan R 
Published: November 2022

Abstract
Composite materials are the largely used engineering materials in aerospace and automobile industries due to their high specific strength and high specific stiffness. The composites’ properties are essential for the design and development of the machine parts. They vary with fiber content, fiber properties, matrix properties, and type of manufacturing process. More experiments are required to obtain the properties and the best combination of fibers and matrices. However, several analytical methods are available to find the properties of the composite to avoid the number of experiments. In the present study, the properties of CFRP, GFRP, Amino-functional multi-walled carbon nano-tubes (CNT) added CFRP, CNT added GFRP composites have been calculated using the properties of fiber, interphase between fiber and matrix, matrix, and CNT. The properties of CNT added epoxy are obtained using the Halpin-Tsai equation in the first stage. In the second stage, the properties of interphase are calculated using the properties of CNT added epoxy and fiber properties. In the third stage, the properties of CFRP and GFRP are calculated using three phase constitutive model by considering the properties of fiber, interphase, and CNT added matrix. The properties are calculated at fiber diameters: 8 μm and 14 μm while varying the fiber volume fraction (%): 0 to 70%, interphase thickness: 50 nm to 500 nm, the weight fraction of CNT (%) added in epoxy: 0 to 5%. The addition of CNT has improved the elastic properties of CFRP and GFRP. The elastic properties of the composites are improved significantly with an increase in the interphase thickness.