bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optically pumped deep-UV multimode lasing in AlGaN double heterostructure grown by molecular beam homoepitaxy
Authors: van Deurzen Len , Page Ryan , Protasenko Vladimir , Nomoto Kazuki , Xing Huili (Grace) , Jena Debdeep 
Published: March 2022

Multimode lasing at sub-300 nm wavelengths is demonstrated by optical pumping in AlGaN heterostructures grown on single-crystal AlN substrates by plasma-assisted molecular beam epitaxy. Edge-emitting ridge-based Fabry–Pérot cavities are fabricated with the epitaxial AlN/AlGaN double heterostructure by a combined inductively coupled plasma reactive ion etch and tetramethylammonium hydroxide etch. The emitters exhibit peak gain at 284 nm and modal linewidths on the order of 0.1 nm at room temperature. The applied growth technique and its chemical and heterostructural design characteristics offer certain unique capabilities toward further development of electrically injected AlGaN laser diodes.
Experimental study of emergent ground state behavior in Gd1-xCexNi5 (x = 0; 0.2; 0.5; 0.8 and 1) melt-spun ribbons
Authors: Dzubinska Andrea , Fernández Jesús Rodriguez , Reiffers Marian , Espeso Jose Ignacio , Varga Rastislav , Arun K. , Goméz Sal Jose Carlos 
Published: March 2022

The ground state physical properties of Gd1-xCexNi5 (x = 0; 0.2; 0.5; 0.8 and 1) melt-spun ribbons were investigated by X-ray diffraction, magnetization and specific heat measurements. The produced ribbon samples are single phases with the hexagonal CaCu5-type crystal structure. The magnetic transition temperature decreases with increasing Ce content. At a temperature around 100 K for the CeNi5 melt-spun ribbon, the spin fluctuations effect is visible.
Seebeck coefficient of Cr100−zOsz alloy system
Authors: Fernando P. R. , Prinsloo A. R. E. , Sheppard C. J. 
Published: March 2022

The magnetic phase diagram of the Cr100−zOsz alloy system exhibits possible quantum critical behavior (QCB), with commensurate spin-density-wave to paramagnetic (CSDW-PM) phase line terminating at z ≈ 14, in a superconducting dome at z ≈ 12. Also indicated is the co-existence of SDW antiferromagnetism (AFM) and superconductivity (SC) for the z = 12.2 sample with a bcc structure. Considering the unique behaviour in the Cr100−zOsz system, this study reports on an investigation into the temperature dependence of the thermoelectric power or Seebeck coefficient, ST. With S(T) sensitive to the electronic structure and scattering mechanisms it is used here in order to investigate the unique magnetic behaviour observed in this alloy. ST measurements were performed on polycrystalline Cr100−zOsz (2.1 ≤ z ≤ 14.1) samples, as confirmed by XRD to be in a single bcc phase. The low-temperature S(T) behaviour is expressed in the form S = aT + bT3, where a and b are constants that were determined to discuss the possible contributions of phonon and/or magnon drag to S. Resulting a(z) and b(z) behaviour indicate anomalies that can be associated with three crucial points in the Cr100−zOsz magnetic phase diagram: (i) at z ≈ 8 is associated with the destabilization of the CSDW phase with the continual addition of Os into the system, (ii) at z ≈ 12 where the SC properties manifest and (iii) at z ≈ 13 associated with quantum critical behaviour this the system. Considering dS/dT where T approaches 0 K, as function of z, clear anomalies are observed at z ≈ 12 and 13, which, are associated with the onset of SC and QCB in this system. The present results suggest that S is a decisive experimental parameter in characterizing anomalous behaviour reflected in the magnetic phase diagram of Cr100−zOsz.
Temperature dependent magnetostatic and dynamic properties of soft magnetic FeGaB/Al2O3 thin films for microwave applications
Authors: Wang Yuxi , Yadagiri Karampuri , Wu Peng , Wu Tao 
Published: March 2022

Iron Gallium Boron (FeGaB) thin film is one of the low-loss self-biased soft magnetic films. In this report, the temperature dependent magnetostatic and dynamic properties of FeGaB/Al2O3 composite soft magnetic thin films were studied. The analysis of surface roughness, crystal orientation and magnetostatic properties indicate that the grain size and anisotropy of the thin film increase after annealing which temperature is from 573 K to 773 K. The ferromagnetic resonance spectra of different annealed thin films suggest the damping factor, linewidth and resonance magnetic fields all increase with the increased annealing temperature, which is attributed to the change of film crystallization. Moreover, the angle dependent anisotropic magnetoresistance and planar Hall effect show the percentage of magnetoresistance change increased due to the high annealing temperature.
RemodelingYersinia pseudotuberculosisto generate a highly immunogenic outer membrane vesicle vaccine against pneumonic plague
Authors: Wang Xiuran , Li Peng , Singh Amit K. , Zhang Xiangmin , Guan Ziqiang , Curtiss Roy , Sun Wei 
Published: March 2022

SignificanceYersinia pestis, the etiologic agent of plague, has been responsible for high mortality in several epidemics throughout human history. This plague bacillus has been used as a biological weapon during human history and is currently one of the deadliest biological threats. Currently, no licensed plague vaccines are available in the Western world. Since an array of immunogens are enclosed in outer membrane vesicles (OMVs), immune responses elicited by OMVs against a diverse range of antigens may reduce the likelihood of antigen circumvention. Therefore, self-adjuvanting OMVs from a remodeledYersinia pseudotuberculosisstrain as a type of plague vaccine could diversify prophylactic choices and solve current vaccine limitations.
Bayesian modeling of human–AI complementarity
Authors: Steyvers Mark , Tejeda Heliodoro , Kerrigan Gavin , Smyth Padhraic 
Published: March 2022

Significance
With the increase in artificial intelligence in real-world applications, there is interest in building hybrid systems that take both human and machine predictions into account. Previous work has shown the benefits of separately combining the predictions of diverse machine classifiers or groups of people. Using a Bayesian modeling framework, we extend these results by systematically investigating the factors that influence the performance of hybrid combinations of human and machine classifiers while taking into account the unique ways human and algorithmic confidence is expressed.
Particle-based hematite crystallization is invariant to initial particle morphology
Authors: Wang Yining , Xue Sichuang , Lin Qingyun , Song Duo , He Yang , Liu Lili , Zhou Jianbin , Zong Meirong , De Yoreo James J. , Zhu Junwu , Rosso Kevin M. , Sushko Maria L. , Zhang Xin 
Published: March 2022

Significance
Many crystallization processes occurring in nature produce highly ordered hierarchical architectures. Their formation cannot be explained using classical models of monomer-by-monomer growth. One of the possible pathways involves crystallization through the attachment of oriented nanocrystals. Thus, it requires detailed understanding of the mechanism of particle dynamics that leads to their precise crystallographic alignment along specific faces. In this study, we discover a particle-morphology–independent oriented attachment mechanism for hematite nanocrystals. Independent of crystal morphology, particles always align along the [001] direction driven by aligning interactions between (001) faces and repulsive interactions between other pairs of hematite faces. These results highlight that strong face specificity along one crystallographic direction can render oriented attachment to be independent of initial particle morphology.
Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution
Authors: Johnston Iain G. , Dingle Kamaludin , Greenbury Sam F. , Camargo Chico Q. , Doye Jonathan P. K. , Ahnert Sebastian E. , Louis Ard A. 
Published: March 2022

Significance
Why does evolution favor symmetric structures when they only represent a minute subset of all possible forms? Just as monkeys randomly typing into a computer language will preferentially produce outputs that can be generated by shorter algorithms, so the coding theorem from algorithmic information theory predicts that random mutations, when decoded by the process of development, preferentially produce phenotypes with shorter algorithmic descriptions. Since symmetric structures need less information to encode, they are much more likely to appear as potential variation. Combined with an arrival-of-the-frequent mechanism, this algorithmic bias predicts a much higher prevalence of low-complexity (high-symmetry) phenotypes than follows from natural selection alone and also explains patterns observed in protein complexes, RNA secondary structures, and a gene regulatory network.
Tsc2 knockout counteracts ubiquitin-proteasome system insufficiency and delays photoreceptor loss in retinitis pigmentosa
Authors: Wang Yixiao , Punzo Claudio , Ash John D. , Lobanova Ekaterina S. 
Published: March 2022

Significance
Studies in multiple experimental systems have demonstrated that an increase in proteolytic capacity of post-mitotic cells improves cellular resistance to a variety of stressors, delays cellular aging and senescence. Therefore, approaches to increase the ability of cells to degrade misfolded proteins could potentially be applied to the treatment of a broad spectrum of human disorders. An example would be retinal degenerations, which cause irreversible loss of vision and are linked to impaired protein degradation. This study suggests that chronic activation of the mammalian target of rapamycin complex 1 (mTORC1) pathway in degenerating photoreceptor neurons could stimulate the degradation of ubiquitinated proteins and enhance proteasomal activity through phosphorylation.
Metonymie in der Gedichtübersetzung
Authors: Papišta Žolt 
Published: March 2022

Abstract
This study represents a contrastive analysis of Michael Ende’s poem “Der Lindwurm und der Schmetterling oder Der
seltsame Tausch” and its Serbian translation by Spomenka Krajčević titled “Zmaj i Leptir ili Neobična zamena” based on the
cognitive-linguistic theory of conceptual metonymy. The purpose of the analysis is to determine in what way the mechanisms of
conceptual metonymy may be utilized for the purposes of poetry translation. For this reason, those passages of the translated poem
will be analyzed which deviate from the original in such a way that the semantic material of the deviating passages exhibits the
characteristics of metonymy, namely a specific conceptual configuration between an Idealized Cognitive Model (Frame) and its
parts. The analysis revealed 61 metonymic relationships between the target- and the source text, of which 46 in total (75.4%)
reveal a contiguous relationship between two parts of an ICM, indicating that this metonymic principle of configuration may
present a considerably more flexible translation strategy for poetry translation than the substitution of an entire ICM with one
of its parts or vice versa.
The marking of spatial relations on animate nouns in Basque
Authors: Krajewska Dorota 
Published: March 2022

Abstract
This corpus-based study examines the diachrony of differential place marking in Basque. In spatial cases, animate
nouns in Basque exhibit heavier morphological forms than inanimate ones, but, under some circumstances, they can also be marked as
inanimate. The data for the study comprises 66 sixteenth-to-twentieth-century texts (9,791 examples). A generalised linear
mixed-effects model was fitted to analyse factors influencing the choice of marking. It is shown that animate nouns are sensitive
to different aspects of the extended Animacy Hierarchy. The strongest effect is that of number (singular nouns prefer animate
marking), followed by referentiality (pronouns are more prone to take animate forms than other nominals) and definiteness
(definite nouns show animate marking more often than indefinite ones). The analysis also shows that animate marking became more
widespread, and that there are dialectal differences. Moreover, more factors were relevant for the alternation in the earliest
data (number, referentiality, definiteness, person and case) than in the most recent texts, where number is the most
important.
Populating ‘solidarity’ in political debate
Authors: Rautajoki Hanna , Fitzgerald Richard 
Published: March 2022

Abstract
The article examines the various ways in which ‘solidarity’ is invoked and signified through narrative and categorial devices in a political debate following the UK’s vote to leave the EU in 2016. Analysing a floor debate in the European Parliament concerning a white paper released by the European Commission on the future of the EU held in March 2017, we investigate how politicians deploy references to ‘solidarity’ in service of different political agendas. Our research highlights the strategic use of ‘core’ values in political debate through the way different speakers appeal to ‘solidarity’ as a self-evident positive value within the EU, but which is then mobilised through different relevant actors and scenarios to argue contrastive political positions. Our analysis demonstrates how narrative positioning and category-bound normative expectations are harnessed to serve the aims of political persuasion by “populating” a shared principle of governance with purposeful sets of identities and interrelations.
Field emission characteristics of ZnO nanowires grown by catalyst-assisted MOCVD on free-standing inorganic nanomembranes
Authors: Haugg Stefanie , Hedrich Carina , Zierold Robert , Blick Robert H 
Published: March 2022

Abstract
ZnO field emitters on freely suspended inorganic nanomembranes (NMs) were synthesized by catalyst-assisted metal organic chemical vapor deposition (MOCVD) using the precursors zinc acetylacetonate hydrate and oxygen. The morphology and the possibly involved growth mechanisms of the randomly distributed ZnO nanostructures were investigated by scanning electron microscopy and by energy-dispersive x-ray spectroscopy. The findings indicate a growth process that involves the vapor–liquid–solid as well as the vapor–solid–solid mechanism. The field emission (FE) properties of such ZnO nanowire (NW) samples showed to be highly reproducible and independent of the investigated Si-based substrate types. Herein, a new type of flexible substrate for the MOCVD process has been introduced that allows for the direct growth of ZnO NWs on free-standing membranes for potential FE-based sensor applications. A turn-on field of 4.1 V µm−1 was detected for a macroscopic emission current density of 10 µA cm−2 and the stability test revealed fluctuations of only 9% around the mean emission current over a duration of 3 h proving a reliable and stable operation of such devices. Moreover, approaches were identified to further enhance the FE characteristics of the ZnO NWs by variation of the synthesis parameters and by enlargement of the NM area.
Predicting the stability and electronic structure of alkali metal aurides
Authors: Gaona Carranza Axel M , Garcia Diaz Reyes , Hoat D M , Siqueiros Jesús M , Guerrero-Sanchez Jonathan 
Published: March 2022

Abstract
Density functional theory calculations of phonon modes predict that some compounds of the alkali metal aurides family, general formula A
2
MAu6 (A = K, Rb or Cs; M = Ti, Zr, Hf, Sn or Pb), have stable three-dimensional phase with a double perovskite-type structure and cubic Fm

3

¯

m space group (K2PtCl6-type). Bader’s charge analysis shows that most electron density is located within the six atoms at the octahedra vertices like double perovskite halides. However, the short spacing between Au anions enables d-orbital interactions between them. Compounds of this family, with group 4 metals only, carry conduction states around the Γ point (k = 0). On the other hand, compounds with group 14 metals possess more conduction states around all the Brillouin zone and have electron pockets in their band structures. These compounds provide further insights into the unusual anionic behavior of gold and present other alternatives for the construction of divergent nanodevices.
A review of advances in imaging methodology in fluorescence molecular tomography
Authors: Zhang Peng , Ma Chenbin , Song Fan , Fan Guangda , Sun Yangyang , Feng Youdan , Ma Xibo , Liu Fei , Zhang Guanglei 
Published: March 2022

Abstract

Objective. Fluorescence molecular tomography (FMT) is a promising non-invasive optical molecular imaging technology with strong specificity and sensitivity that has great potential for preclinical and clinical studies in tumor diagnosis, drug development and therapeutic evaluation. However, the strong scattering of photons and insufficient surface measurements make it very challenging to improve the quality of FMT image reconstruction and its practical application for early tumor detection. Therefore, continuous efforts have been made to explore more effective approaches or solutions in the pursuit of high-quality FMT reconstructions. Approach. This review takes a comprehensive overview of advances in imaging methodology for FMT, mainly focusing on two critical issues in FMT reconstructions: improving the accuracy of solving the forward physical model and mitigating the ill-posed nature of the inverse problem from a methodological point of view. More importantly, numerous impressive and practical strategies and methods for improving the quality of FMT reconstruction are summarized. Notably, deep learning methods are discussed in detail to illustrate their advantages in promoting the imaging performance of FMT thanks to large datasets, the emergence of optimized algorithms and the application of innovative networks. Main results. The results demonstrate that the imaging quality of FMT can be effectively promoted by improving the accuracy of optical parameter modeling, combined with prior knowledge, and reducing dimensionality. In addition, the traditional regularization-based methods and deep neural network-based methods, especially end-to-end deep networks, can enormously alleviate the ill-posedness of the inverse problem and improve the quality of FMT image reconstruction. Significance. This review aims to illustrate a variety of effective and practical methods for the reconstruction of FMT images that may benefit future research. Furthermore, it may provide some valuable research ideas and directions for FMT in the future, and could promote, to a certain extent, the development of FMT and other methods of optical tomography.
Experimental investigation of the pseudoelastic behavior on zirconium modified Cu–Al–Be shape memory alloys for seismic applications
Authors: Kalinga T , Murigendrappa S M , Kattimani S 
Published: March 2022

Abstract
This paper examines the effect of 0.05–0.3 wt.% of zirconium-doping on microstructure, transformation temperatures, tensile properties, and pseudoelastic behavior of the parent

β
1

-phase Cu87.93–Al11.5–Be0.57 shape memory alloys (SMAs). Results reveal that alloying zirconium in the evaluated SMA samples exhibits an excellent grain refinement up to 0.15 wt.%. Further, higher additions of Zr ⩾ 0.2 wt.% lowers the grain refinement efficiency due to precipitates agglomeration. Larger the size and volume fraction of Al3Zr precipitates led to higher transformation temperatures. Tensile properties were improved with Zr-doping, resulting enhancements in the maximum tensile strength and ductility with the addition of 0.15 wt.% Zr. The alloy with 0.05 wt.% of Zr-dope showed a good pseudoelastic strain recovery of deformation strain and then lowered by retaining large residual strain, indicating deterioration in the pseudoelasticity of SMAs.
On the problem of obtaining extra hydrogen-containing synthesis gases during gasification of high-ash coal using iron-containing slags
Authors: Dikhanbaev Arystan , Dikhanbaev Bayandy , Ybray Sultan , Akbota Zhaksylyk , Olzhas Talipov , Nariman Tanirbergenov 
Published: March 2022

Abstract
In the dumps of power plants of the Republic of Kazakhstan, only from the combustion of Ekibastuz coal, ~ 300 million tons of ash have been accumulated, with an annual release of up to 30 million tons. Up to 200 g/t of gallium, germanium, 1 g/t of gold, 4% of zinc, 1% of lead, 0.3% of cadmium and other elements are lost with ash. The work is aimed at unit creation to obtain hydrogen-enriched water gas from ekibastuz coal with the production of Zn, Ga, Ge sublimates, copper-containing cast iron, slag wool and/or cast stone, when joint processing of iron-zinc-contained slag and ash-cinder wastes of thermal power plants.
Study of the droplet transition from Cassie to Wenzel state on laser-modified metal surfaces
Authors: Borovikov S S 
Published: March 2022

Abstract
The paper presents the experimental study of the influence of laser radiation on the texture formation on aluminum alloy, the droplet transition from Cassie to Wenzel state, as well as the main geometric characteristics of a droplet (contact angle, droplet diameter and height). It was found that laser methods for changing the characteristics and texture of metal surfaces are a modern, flexible tool that makes it possible to achieve unique results in controlling the properties of metal surfaces.
Modification of steel surfaces with aluminum oxide particles: study of wetting and spreading
Authors: Borovikov S S , Laga E Yu 
Published: March 2022

Abstract
This work presents the experimental studies on the influence of the average particle size of aluminum oxide used to modify stainless steel surfaces on the change in wetting properties and the movement of the three-phase contact line. To record the formation of a droplet on the surface, we used the equipment of the shadow technique. he geometrical dimensions of the droplets were determined by the Young-Laplace, Tangential 1 and 2 methods. It was found that the larger the average size of aluminum particles used to modify steel surfaces, the more wetting properties and the characteristics of liquid spreading over such surfaces will change.
Design and Analyses of Broadband Perfect Light Absorber for Visible and Near IR Frequencies using Plasmonic Metamaterials
Authors: Tamilarasi Mani Gurukaelaiarasu , Mudachathi Renilkumar 
Published: March 2022

Abstract
Metal-insulator-metal nanostructures based plasmonic metamaterials have been extensively explored for the design of broadband perfect light absorption in all the technologically relevant windows of electromagnetic spectrum. We have computationally studied a unique metal-insulator-metal nanostructure for the design of a broadband perfect light absorber in the visible and near infrared frequencies. We explored different metal combinations for the same metal-insulator-metal geometry for the absorber design. The study shows that the dependence of spectral response is dominated by the geometrical shape and arrangement, rather than the nature of the metal combinations. We report an average light absorption of more than 80% from 400nm to 1100nm wavelength range.
Synthesis and characterization of electrical properties of nanostructured zinc oxide film prepared by spray coated seed layer based hydrothermal method
Authors: Bhuvaneshwari P , George Vasanthan S , Kaliyaperumal Ajaijawahar , Periyasamy Gokuladeepan 
Published: March 2022

Abstract
The aim of study was to investigate the carrier transport properties of seed layer assisted nanostructured ZnO thin film. The structural analysis by XRD showed the predominant peak at 34.63° (2θ) corresponding to <002> plane. From the SEM image, it was found that the particles grown vertical nanoparticles on the glass substrate. The optical bandgap of the material was calculated from UV-Visible absorption spectrum which was found as 3.28 eV. The I-V characteristics showed that the film possess semiconducting nature. The electron mobility was determined as 1.60×102cm2/Vs and the resistivity was around 1.99×10−4 Ω.cm and the carrier concentration of the film was 7.54×1020cm−3 by Hall effect measurement. The seed assisted nanostructured film exhibited good electron transport properties which can be applied in many electrical applications like a solar cells, sensors and optoelectronic devices.