bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 vaccinations and counselling: a mixed-methods survey of Australian general practice in July 2021
Authors: O’Brien Kathleen , Barnes Katelyn , Hall Dykgraaf Sally , Douglas Kirsty A. 
Published: June 2022

Background GPs are integral to the COVID-19 vaccination rollout, providing education and administering vaccines. We sought to describe how counselling relating to COVID-19 vaccination was impacting Australian general practice consultations. Methods We conducted an online, mixed-methods, cross-sectional survey of Australian community-based primary care from 7 to 15 July 2021. This survey, number 15 in a series of recurrent cross-sectional surveys conducted over a 14-month period, explored how counselling relating to COVID-19 vaccination was impacting general practice consultations, through multiple selection and open text responses; it also included questions on respondent and practice characteristics, and pandemic-related stress and strain. We calculated descriptive statistics for quantitative variables, and analysed free-text responses using an inductive content analysis approach. Results We received 73 responses (72 GPs) across all states/territories. Discussions with patients about COVID-19 vaccines and vaccination were common, increasing the duration of routine consultations by 6 min on average (s.d. 2.9). Respondents described the impact of the resulting time pressures, and the stress and challenges of participating in COVID-19 vaccine communication and administration. Although our results are illuminating, they are limited by the small sample, with some different characteristics from national estimates, an uncertain response rate and the inability to pilot the survey prior to distribution. Conclusions The significant impact on general practice consultation from COVID-19 vaccine counselling is on a background of ongoing pandemic-related stress and strain. With a strong track record of population vaccination, GPs are well-placed to deliver COVID-19 immunisations to the Australian population. However, they must be represented in planning and coordination, to reduce the overall burden on primary care.
On a few instances where deictic directionals confound expectations
Authors: Bourdin Philippe 
Published: June 2022

Abstract
Directional deixis (DD) is characterized by a set of properties that recur across languages, e.g. the feature of goal-orientedness and the built-in asymmetry between ventive direction and itive direction. These properties define a formal and semantic space that has a core and a periphery. DD systems that are outliers with respect to any given property or properties can be shown to support, rather than call into question, the validity of DD as a self-standing descriptive category. This requires articulating an explanatory framework that reconciles the complexity at the periphery with the simplicity of the overarching logic, i.e. the fundamental imbalance between the intrinsically conjunctive semantics of ventive markers and the disjunctive semantics of their itive counterparts.
Lexical aspect and morphosyntactic cohesion between motion verbs and spatial particles in Homeric Greek
Authors: Nigrelli Castrenze 
Published: June 2022

Abstract
The aim of this paper is to investigate a rather neglected topic in motion event studies, i.e. the role that lexical aspect (i.e. Aktionsart) plays in motion event encoding in Homeric Greek. Building on the theoretical framework of Talmy (1985, 1991, 2000, 2009), this work focuses on the role that telicity (Vendler 1967), as a verb-inherent semantic feature, plays in the distribution of motion verbs and co-occurring spatial particles as well as in their different mutual morphosyntactic cohesion. The textual analysis of the Iliad and the Odyssey shows a non-random distribution of motion verbs and spatial particles with their own semantic value, in particular a stronger morphosyntactic cohesion is found between telic verbs and goal-oriented particles, due to their mutual semantic compatibility.
Stability and causality of Carter’s multifluid theory
Authors: Gavassino L 
Published: June 2022

Abstract
Stability and causality are studied for linear perturbations about equilibrium in Carter’s multifluid theory. Our stability analysis is grounded on the requirement that the entropy of the multifluid, plus that of the environment, must be maximised at equilibrium. This allows us to compute a quadratic Lyapunov functional, whose positive definiteness implies stability. Furthermore, we verify explicitly that, also for multifluids, thermodynamic stability implies linear causality. As a notable stability condition, we find that the entrainment matrix must always be positive definite, confirming a widespread intuition.
A demonstration of contextuality using quantum computers
Authors: Laghaout Amine , Dikme Altay , Reichel Nicolas , Björk Gunnar 
Published: June 2022

Abstract
Open-access, online quantum computers have shown significant improvements in the past decade. Although they still suffer from noise and scalability limitations, they do offer the possibility of experimenting with quantum circuits which would otherwise have required laboratory resources and prowesses beyond the reach of most students (and even researchers). In view of this, we revisit from the ground up the notion of contextuality and show that it can now be easily demonstrated on one of the IBM quantum computers. We showcase this with an implementation of the Peres–Mermin square which, despite the high error rates, manages to violate noncontextuality by almost 28 standard deviations.
Classification of trimethylamine-N-oxide, a cardiometabolic disease biomarker, by Raman spectroscopy and support vector machines
Authors: Villa-Manríquez José Fabián , Sato-Berrú Roberto Y , Castro-Ramos Jorge , Flores-Guerrero Jose L 
Published: June 2022

Abstract
In the present study, we investigated the ability of micro-Raman spectroscopy to identify low concentrations of trimethylamine-N-oxide (TMAO) mixed in synthetic urine composed of water, sodium chloride, urea, and creatinine using a support vector machine (SVM) as a discrimination tool to differentiate the Raman spectra of the different concentrations of TMAO. TMAO is a novel biomarker associated with cardiovascular diseases, kidney diseases, and complications of type 2 diabetes. We obtained the Raman spectra of four different concentrations of TMAO. The spectra were filtered before being classified using principal component analysis combined with the SVM method. We identify the spectral window that goes from 800 to 870 cm−1 where TMAO presents Raman activity in the synthetic urine mixture without the intervention of Raman activity of another molecule. We predicted the different concentrations of TMAO in the synthetic urine until 1 ppm (13.21 µM) of TMAO, getting an accuracy of classification greater than 70% indicated by the confusion matrix, and the area under the receiver operating characteristic curve of 0.86 for 1 ppm (13.31 µM) and 10 ppm (133.13 µM) concentration. This study showed that Raman spectroscopy combined with SVM has the potential to detect low concentrations of TMAO in urine.
Jet rapidity distributions and jet-jet correlation functions
Authors: Bethencourt de León N , Chachamis G , Sabio Vera A 
Published: June 2022

Abstract
Multi-particle production studies have always been an important tool in the effort to study the properties of the strong force already from the fifties of the previous century. As the center-of-mass energy of present day hadron colliders and in particular the Large Hadron Collider (LHC) has increased enormously over the years and the focus currently is on the study of multi-jet final states, it would be instructive to see whether the early days phenomenological models applied some 50–60 years ago to describe multi-particle production have anything to offer in the study of multi-jet final states as well as whether they offer predictions different from the QCD based ones. In this paper, we will consider events with two jets well separated in rapidity with similar transverse momenta whereas a number of mini-jets or jets is to be found in between these two bounding jets. Such configurations are relevant for the high energy scattering limit of QCD. We fix the final jet multiplicity to take particular values and we report on a first comparison between the predictions of the old multiperipheral Chew-Pignotti model applied for final state jets and those of BFKL. We compare single jet rapidity distributions as well as jet-jet rapidity correlations.
Analysis of entropy generation in the nonlinear thermal radiative micropolar nanofluid flow towards a stagnation point with catalytic effects
Authors: Ishtiaq Bushra , Zidan Ahmed M , Nadeem Sohail , Kbiri Alaoui Mohammed 
Published: June 2022

AbstractThe major goal of this work is to analyze the entropy generation in a micropolar nanofluid’s hydromagnetic stagnation point flow with the involvement of the catalytic and nonlinear thermal radiation effects. The magnetite nanoparticleFe3O4is added to the water to form theFe3O4-water nanofluid. A vertical stretchable sheet is assumed to initiate the two-dimensional time-independent flow. The impacts of Joule heating and viscous dissipation are considered in the development of the governing equations of the concerned problem. An appropriate procedure of similarity transformations is implemented in the system of partial differential equations (PDE) to establish the nonlinear setup of ordinary differential equations (ODE). The behavior of various aspects of fluid such as micro-rotation, entropy generation, temperature, velocity, Bejan number, and concentration relative to the pertinent parameters is graphically revealed. The graphical nature of local Nusselt number and skin friction relative to the physical parameters is also exhibited in this analysis. This study concludes that the amplification in the magnetic field develops a minimization in the velocity field. The Bejan number shows the declining behavior corresponding to the larger quantities of the Brinkman number and Reynolds number, but the entropy of the system escalates for these parameters.
The Dark Ages' 21-cm trispectrum
Authors: Flöss Thomas , de Wild Tim , Meerburg P. Daniel , Koopmans Léon V.E. 
Published: June 2022

Abstract
We investigate tomography of 21-cm brightness temperature fluctuations during the Dark Ages as a probe for constraining primordial non-Gaussianity. We expand the 21-cm brightness temperature up to cubic order in perturbation theory and improve previous models of the signal by including the effect of the free electron fraction. Using modified standard perturbation theory methods that include baryonic pressure effects we derive an improved secondary bispectrum and for the first time derive the secondary trispectrum of 21-cm brightness temperature fluctuations. We then forecast the amount of information available from the Dark Ages to constrain primordial non-Gaussianity, including the imprints of massive particle exchange during inflation and we determine how much signal is lost due to secondary non-Gaussianity. We find that although secondary non-Gaussianity swamps the primordial signal, primordial non-Gaussianity can still be extracted with signal-to-noise ratios that surpass current and future CMB experiments by several orders of magnitude, depending on the experimental setup. Furthermore, we conclude that for the bi- and trispectra of massive particle exchange marginalizing over other primordial shapes affects signal-to-noise ratios more severely than secondary shapes. Baryonic pressure effects turn out to have a negligible impact on our forecasts, even at scales close to the Jeans scale. The results of this work reinforce the prospects of 21-cm brightness temperature fluctuations from the Dark Ages as the ultimate probe for primordial non-Gaussianity.
Search for single production of vectorlike B-quarks at the LHC*
Authors: Han Jin-Zhong , Liu Yao-Bei , Xing Lu , Xu Shuai 
Published: June 2022

Abstract
New vectorlike quarks have been proposed in many scenarios of new physics beyond the Standard Model, which address the hierarchy problem and may be potentially discovered at the Large Hadron Collider (LHC). Based on a model-independent framework, we propose to search for the vectorlike B-quark (VLQ-B) and focus on resonant production via b-gluon fusion through chromomagnetic interactions. We then explore the possible signals of the VLQ-B through the

decay mode at the 14 TeV LHC. After a rapid simulation of signal and background events, the

excluded regions and the

discovery reach in the parameter plane of

are obtained at the LHC with an integrated luminosity of 300 (3000) fb

in the dilepton final states.
Scintillation detectors with silicon photomultiplier readout in a dilution refrigerator at temperatures down to 0.2 K
Authors: Zhang J. , Goeldi D. , Iwai R. , Sakurai M. , Soter A. 
Published: June 2022

Abstract
We are developing a novel high-brightness atomic beam,
comprised of a two-body exotic atom called muonium (M = μ
+ +
e
-), for next-generation atomic physics and gravitational
interaction measurements. This M source originates from a thin sheet
of superfluid helium (SFHe), hence diagnostics and later
measurements require a detection system which is operational in a
dilution cryostat at temperatures below 1 K. In this paper,
we describe the operation and characterization of silicon
photomultipliers (SiPMs) at ultra-low temperatures in SFHe
targets. We show the temperature dependence of the signal shape,
breakdown voltage, and single photon detection efficiency,
concluding that single photon detection with SiPMs below
0.85 K is feasible. Furthermore, we show the development of
segmented scintillation detectors, where 16 channels at 1.7 K
and one channel at 170 mK were commissioned using a
muon beam.
Limit shape phase transitions: a merger of arctic circles
Authors: Pallister James S , Gangardt Dimitri M , Abanov Alexander G 
Published: June 2022

Abstract
We consider a free fermion formulation of a statistical model exhibiting a limit shape phenomenon. The model is shown to have a phase transition that can be visualized as the merger of two liquid regions – arctic circles. We show that the merging arctic circles provide a space-time resolved picture of the phase transition in lattice QCD known as Gross–Witten–Wadia transition. The latter is a continuous phase transition of the third order. We argue that this transition is universal and is not spoiled by interactions if parity and time-reversal symmetries are preserved. We refer to this universal transition as the merger transition.
Integrable systems associated to open extensions of type A and D Dubrovin–Frobenius manifolds
Authors: Basalaev A 
Published: June 2022

Abstract
We investigate the solutions to open WDVV equation, associated to type A and D Dubrovin–Frobenius manifolds. We show that these solutions satisfy some stabilization condition and associate to both of them the systems of commuting PDEs. In the type A we show that the system of PDEs constructed coincides with the dispersionless modified KP hierarchy written in the Fay form.
Learning quantum data with the quantum earth mover’s distance
Authors: Kiani Bobak Toussi , De Palma Giacomo , Marvian Milad , Liu Zi-Wen , Lloyd Seth 
Published: June 2022

Abstract
Quantifying how far the output of a learning algorithm is from its target is an essential task in machine learning. However, in quantum settings, the loss landscapes of commonly used distance metrics often produce undesirable outcomes such as poor local minima and exponentially decaying gradients. To overcome these obstacles, we consider here the recently proposed quantum earth mover’s (EM) or Wasserstein-1 distance as a quantum analog to the classical EM distance. We show that the quantum EM distance possesses unique properties, not found in other commonly used quantum distance metrics, that make quantum learning more stable and efficient. We propose a quantum Wasserstein generative adversarial network (qWGAN) which takes advantage of the quantum EM distance and provides an efficient means of performing learning on quantum data. We provide examples where our qWGAN is capable of learning a diverse set of quantum data with only resources polynomial in the number of qubits.
Core–shell carbon-polymer quantum dot passivation for near infrared perovskite light emitting diodes
Authors: Tountas Marinos , Soultati Anastasia , Armadorou Konstantina-Kalliopi , Ladomenou Kalliopi , Landrou Georgios , Verykios Apostolis , Skoulikidou Maria-Christina , Panagiotakis Stylianos , Fillipatos Petros-Panagis , Yannakopoulou Konstantina , Chroneos Alexander , Palilis Leonidas C , Yusoff Abd Rashid Bin Mohd , Coutsolelos Athanassios G , Argitis Panagiotis , Vasilopoulou Maria 
Published: June 2022

Abstract
High-performance perovskite light-emitting diodes (PeLEDs) require a high quality perovskite emitter and appropriate charge transport layers to facilitate charge injection and transport within the device. Solution-processed n-type metal oxides represent a judicious choice for the electron transport layer (ETL); however, they do not always present surface properties and energetics compatible with the perovskite emitter. Moreover, the emitter itself exhibits poor nanomorphology and defect traps that compromise the device performance. Here, we modulate the surface properties and interface energetics between the tin oxide (SnO2) ETL with the perovskite emitter by using an amino functionalized difluoro{2-[1-(3,5-dimethyl-2H-pyrrol-2-ylidene-N)ethyl]-3,5-dimethyl-1H-pyrrolato-N}boron compound and passivate the defects present in the perovskite matrix with carbon-polymer core–shell quantum dots inserted into the perovskite precursor. Both these approaches synergistically improve the perovskite layer nanomorphology and enhance the radiative recombination. These properties resulted in the fabrication of near-infrared PeLEDs based on formamidinium lead iodide (FAPbI3) with a high radiance of 92 W sr−1 m−2, an external quantum efficiency (EQE) of 14%, reduced efficiency roll-off and prolonged lifetime. In particular, the modified device retained 80% of the initial EQE (T80) for 33 h compared to 6 h of the reference cell.
Irisin reduces the abnormal reproductive and metabolic phenotypes of PCOS by regulating the activity of brown adipose tissue in mice
Authors: Zheng Yajing , He Juan , Yang Dongyong , Yuan Mengqin , Liu Shiyi , Dai Fangfang , Jia Yifan , Cheng Yanxiang 
Published: June 2022

AbstractPolycystic ovary syndrome (PCOS) is a common endocrine and metabolic disease in women, with clinical manifestations of anovulation and hyperandrogenaemia. The treatment of PCOS mainly focuses on improving clinical symptoms, such as insulin sensitivity or menstrual disorder, through drug treatment. However, due to the pathogenesis diversity of PCOS, there is still a lack of effective treatment in clinics. Metabolic disorder is the key factor in the occurrence of PCOS. Brown adipose tissue (BAT) is a special adipose tissue in the human body that can participate in metabolic balance by improving heat production. BAT has been demonstrated to be an important substance involved in the metabolic disorder of PCOS. Although increasing evidence indicates that BAT transplantation can improve the symptoms of PCOS, it is difficult to achieve BAT transplantation at present due to technical limitations. Stimulation of BAT activation by exogenous substances may be an effective alternative therapy for PCOS. In this study, we investigated the effects of Irisin on dehydroepiandrosterone (DHEA)-induced PCOS in mice and evaluated the effect of Irisin on serum hormone levels and changes in body temperature, body weight, and ovarian morphology. In our study, we found that Irisin can enhance the thermogenesis and insulin sensitivity of PCOS mice by activating the function of BAT. In addition, Irisin treatment can correct the menstrual cycle of PCOS mice, improve the serum steroid hormone disorder status, and reduce the formation of ovarian cystic follicles. In conclusion, our results showed that Irisin treatment significantly improved the metabolic disorder of PCOS and may provide a new and alternative therapy for the treatment of this pathology.
Roles and Tasks of Social Workers in Chinese Disaster Management
Authors: Sim Timothy , He Minying , Chen Huiquan , Yang Wanqiu 
Published: June 2022

Abstract
Although social workers are often deeply involved in disaster management, their distinct roles and tasks in its various phases have not been adequately recognised. This may impede social work training and practice in disaster contexts and particularly in China, which regularly experiences disasters. In this study, we investigated the unique roles and tasks of Chinese social workers in disaster management. We conducted thirty-two in-depth interviews with stakeholders including front line social workers, academics, government officials, other professionals and survivors, and a content analysis. We identified the three main roles of social workers as conduits, mediators and providers of psychosocial support. We then assessed the complexity of social workers’ roles and tasks in the Chinese context, and the potential for the strategic integration of social workers into a top-down disaster management system.
Peak fraction of infected in epidemic spreading for multi-community networks
Authors: Ma Jing , Meng Xiangyi , Braunstein Lidia A 
Published: June 2022

Abstract
One of the most effective strategies to mitigate the global spreading of a pandemic (e.g. coronavirus disease 2019) is to shut down international airports. From a network theory perspective, this is since international airports and flights, essentially playing the roles of bridge nodes and bridge links between countries as individual communities, dominate the epidemic spreading characteristics in the whole multi-community system. Among all epidemic characteristics, the peak fraction of infected, $I_{\max}$, is a decisive factor in evaluating an epidemic strategy given limited capacity of medical resources but is seldom considered in multi-community models. In this article, we study a general two-community system interconnected by a fraction $r$ of bridge nodes and its dynamic properties, especially $I_{\max}$, under the evolution of the susceptible-infected-recovered model. Comparing the characteristic time scales of different parts of the system allows us to analytically derive the asymptotic behaviour of $I_{\max}$ with $r$, as $r\rightarrow 0$, which follows different power-law relations in each regime of the phase diagram. We also detect crossovers when $I_{\max}$ changes from one power law to another, crossing different power-law regimes as driven by $r$. Our results enable a better prediction of the effectiveness of strategies acting on bridge nodes, denoted by the power-law exponent $\epsilon_I$ as in $I_{\max}\propto r^{1/\epsilon_I}$.