bluuebunny/crossref_metadata_2025_split huggingface dataset:
How vacuum technology enables progress in spaceflight
Authors: Heitz Ingo 
Published: December 2022

SummaryThe use of spacecraft in space research is based on completely different environmental conditions than here on Earth. In addition to the decreasing gravity and the enormous temperature differences, the vacuum in space must also be taken into account. Since the function, e.g. of the thrusters, under these environmental conditions cannot be simulated with mathematical calculations alone, real tests have to be carried out. Vacuum technology plays an important role here. To maintain the pressure level at the desired value, the vacuum system must extract the exhaust gases from the rocket engine and compress them against atmospheric pressure. In this article, a real project and how Pfeiffer Vacuum experts worked with the customer to develop a solution based on a three‐stage Roots pumping system is described. Both the challenges and the solutions during the development process are highlighted.
Oberflächliche Quantenkontrolle
Authors: Willke Philip 
Published: December 2022

ZusammenfassungDie Spinresonanz kommt in Kernspintomografen und in Analysegeräten in der Physik, Chemie und Biologie, sowohl in Forschung als auch Industrie zum Einsatz. Eine neue Methode erlaubt Elektronenspinresonanz an einzelnen Atomen und Molekülen in einem Rastertunnelmikroskop und liefert Einblicke in die Wechselwirkungen zwischen Atomen, in die Dynamik ihrer magnetischen Zustände und in die Eigenschaften einzelner Kernspins. Elektronenspins legen den Grundstein für verschiedene magnetische Phänomene und bilden in unterschiedlichen Quantenarchitekturen die Basis für hochsensitive Sensoren oder auch für Quantenbits. Die hier vorgestellte neue Methode gestattet es, einzelne Spins auf atomarer Skala zu messen und zu steuern. Dieser Zugang zu atomaren Quantenzuständen eröffnet auch neue Ansätze in der die Quanteninformationsverarbeitung.
Recent advances in quantum fragmentation approaches to complex molecular and condensed‐phase systems
Authors: Liu Jinfeng , He Xiao 
Published: December 2022

AbstractQuantum mechanical (QM) calculations are critical in quantitatively understanding the relationship between the structure and physicochemical properties of various chemical systems. However, the sharply increasing computational cost with the system size has severely hindered applying direct QM calculations on large‐sized systems. Hence, linear‐scaling and/or fragmentation QM methods have been proposed to overcome this difficulty. In this review, we focus on the recent development and applications of the electrostatically embedded generalized molecular fractionation with the conjugate caps (EE‐GMFCC) method in probing various properties of complex large molecules and condensed‐phase systems. The EE‐GMFCC method is now capable of describing the localized excited states of biomolecules and molecular crystals with a chromophore. The EE‐GMF method is also combined with anharmonic vibrational calculations for accurate simulation of the infrared spectrum of the magic number H+(H2O)21 cluster at the coupled cluster level. With an adaptive fragmentation scheme, the EE‐GMF‐based ab initio molecular dynamics is able to directly simulate chemical reactions occurred in atmospheric molecular clusters. Furthermore, by combining the EE‐GMF(CC) method and deep machine learning techniques, neural network potentials can be efficiently constructed for accurate simulations of complex systems with the accuracy of high‐level wave function methods. The EE‐GMF(CC) method is expected to become a practical tool for quantitative description of complex large molecules and condensed‐phase systems with high‐level ab initio theories or ab initio quality potentials.This article is categorized under:
Electronic Structure Theory > Ab Initio Electronic Structure Methods
Structure and Mechanism > Computational Biochemistry and Biophysics
Structure and Mechanism > Reaction Mechanisms and Catalysis
Fast optimization of viscosities for frequency‐weighted damping of second‐order systems
Authors: Jakovčević Stor Nevena , Mitchell Tim , Tomljanović Zoran , Ugrica Matea 
Published: December 2022

AbstractWe consider frequency‐weighted damping optimization for vibrating systems described by a second‐order differential equation. The goal is to determine viscosity values such that eigenvalues are kept away from certain undesirable areas on the imaginary axis. To this end, we present two complementary techniques. First, we propose new frameworks using nonsmooth constrained optimization problems, whose solutions both damp undesirable frequency bands and maintain the stability of the system. These frameworks also allow us to weight, which frequency bands are the most important to damp. Second, we also propose a fast new eigensolver for the structured quadratic eigenvalue problems (QEPs) that appear in such vibrating systems. In order to be efficient, our new eigensolver exploits special properties of diagonal‐plus‐rank‐one (DPR1) complex symmetric matrices, which we leverage by showing how each QEP can be transformed into a short sequence of such linear eigenvalue problems. The result is an eigensolver that is substantially faster than standard techniques. By combining this new solver with our new optimization frameworks, we obtain our overall algorithm for fast computation of optimal viscosities. The efficiency and performance of our new approach are verified and illustrated on several numerical examples.
The First Revolution of the Twentieth Century: Fears of Socialism and Anti-Labour Mobilisation in Europe After the Russian Revolution of 1905
Authors: Bonnet Romain , Caruso Amerigo , Saluppo Alessandro 
Published: December 2022

AbstractIn the late-nineteenth and early twentieth centuries, Europe experienced labour conflicts, unprecedented in their character, intensity and scope. From the waves of strikes and social conflicts of the pre-war era, through the ordeal of the First World War, and the extraordinary violence of the post-1917 upheavals, the revolutionary potential of mass strikes never ceased to torment those who were assigned, or self-appointed, to protect the threatened order. The purpose of this article is to analyse the repertoire of actions and ideas of right-wing civil defence leagues, vigilante organisations, private police and yellow unions which emerged at the end of the century, and most noticeably in the aftermath of the Russian Revolution of 1905. This phenomenon is considered in a comparative and transnational perspective, with a particular focus on the most industrialised societies of pre-war Europe: France, Germany and Great Britain. The article provides a systematisation and assessment of the different forms, types and characteristics of this process of relative privatisation and realignment in security roles, outlying trends and shared clusters of ideological beliefs in violent activity across various industries and national contexts. The article shows how the pre-war experience of vigilantism, anti-socialism and nationalism would represent a key incentive to the development of governmental strikebreaking schemes as well as an important situational antecedent for citizens’ militias and right-wing paramilitary organisations in the aftermath of the Great War.
Blow-Up of Strong Solutions of the Thermal Quasi-Geostrophic Equation
Authors: Crisan Dan , Mensah Prince Romeo 
Published: December 2022

AbstractThe Thermal Quasi-Geostrophic (TQG) equation is a coupled system of equations that governs the evolution of the buoyancy and the potential vorticity of a fluid. It has a local in time solution as proved in Crisan et al. (Theoretical and computational analysis of the thermal quasi-geostrophic model. Preprint arXiv:2106.14850, 2021). In this paper, we give a criterion for the blow-up of solutions to the Thermal Quasi-Geostrophic equation, in the spirit of the classical Beale–Kato–Majda blow-up criterion (cf. Beale et al., Comm. Math. Phys. 94(1), 61–66, 1984) for the solution of the Euler equation.
A Pathwise Parameterisation for Stochastic Transport
Authors: Lang Oana , Pan Wei 
Published: December 2022

AbstractIn this work we set the stage for a new probabilistic pathwise approach to effectively calibrate a general class of stochastic nonlinear fluid dynamics models. We focus on a 2D Euler SALT equation, showing that the driving stochastic parameter can be calibrated in an optimal way to match a set of given data. Moreover, we show that this model is robust with respect to the stochastic parameters.
End-to-End Kalman Filter in a High Dimensional Linear Embedding of the Observations
Authors: Ouala Said , Tandeo Pierre , Chapron Bertrand , Collard Fabrice , Fablet Ronan 
Published: December 2022

AbstractData assimilation techniques are the state-of-the-art approaches in the reconstruction of a spatio-temporal geophysical state such as the atmosphere or the ocean. These methods rely on a numerical model that fills the spatial and temporal gaps in the observational network. Unfortunately, limitations regarding the uncertainty of the state estimate may arise when considering the restriction of the data assimilation problems to a small subset of observations, as encountered for instance in ocean surface reconstruction. These limitations motivated the exploration of reconstruction techniques that do not rely on numerical models. In this context, the increasing availability of geophysical observations and model simulations motivates the exploitation of machine learning tools to tackle the reconstruction of ocean surface variables. In this work, we formulate sea surface spatio-temporal reconstruction problems as state space Bayesian smoothing problems with unknown augmented linear dynamics. The solution of the smoothing problem, given by the Kalman smoother, is written in a differentiable framework which allows, given some training data, to optimize the parameters of the state space model.
Frequentist Perspective on Robust Parameter Estimation Using the Ensemble Kalman Filter
Authors: Reich Sebastian 
Published: December 2022

AbstractStandard maximum likelihood or Bayesian approaches to parameter estimation for stochastic differential equations are not robust to perturbations in the continuous-in-time data. In this paper, we give a rather elementary explanation of this observation in the context of continuous-time parameter estimation using an ensemble Kalman filter. We employ the frequentist perspective to shed new light on two robust estimation techniques; namely subsampling the data and rough path corrections. We illustrate our findings through a simple numerical experiment.
Education, training and technological innovation, key components of the ESTES-NIGHTINGALE project cooperation for Mass Casualty Incident preparedness in Europe
Authors: Yánez Benítez Carlos , Tilsed Jonathan , Weinstein Eric S. , Caviglia Marta , Herman Simon , Montán Carl , Achatz Gerhard , Cuthbertson Joe , Ragazzoni Luca , Sdongos Evangelos , Ashkenazi Itamar , Faccincani Roberto 
Published: December 2022

AbstractDisasters induced by extreme weather events and terrorism-related activities, causing mass casualty incidents (MCIs) in Europe, are expected to increase in the upcoming years. This challenging scenario demands a high level of readiness and coordinated multi-disciplinary response to reduce morbidity and mortality. The European Society of Trauma and Emergency Surgery (ESTES) is one of the 23 partners of the European-funded project Novel Integrated Toolkit for Enhanced Pre-Hospital Life Support and Triage in Challenging and Large Emergencies (NIGHTINGALE), whose primary objective is to promote the exchange in experiences and define the best practices among first responders. Additionally, the project promotes multi-disciplinary and multi-institutional efforts to achieve technological innovation that will enhance preparedness in MCI management. This manuscript aims to describe the challenges of MCI triage, the education and training programs for MCI response in Europe, and the technological innovation that may aid optimal response. These three elements were discussed by ESTES Disaster and Military Surgery Section members during the German Society for Trauma Surgery session at the ECTES 2022 in Oslo “TDSC® and beyond: ideas and concepts for education and training in Terror Preparedness”, additionally the manuscript describes the first steps of the cooperation between ESTES and the rest of the NIGHTINGALE consortium.
How to Create a Hebrew Reader? Olam Katan (1901–1904) and the Young Hebrew Reading Public
Authors: Jagodzińska Agnieszka 
Published: December 2022

AbstractOlam Katan [‘Small world’] was the first illustrated Hebrew periodical for Jewish children, published first in Vienna (1901–1902), then in Cracow (1902–1904). Although the periodical reached three continents, the overwhelming majority of its readers were located in Eastern Europe. This article analyses the editors’ efforts to create an attractive yet educational magazine for young readers as a part of a much bigger enterprise: raising a generation of Hebrew users and contributing to the revival of Hebrew. Through a content analysis of the periodical, I reconstruct not only the editors’ strategy to reach children and young readers but also the obstacles they faced in the process. I also seek to determine what the role of adults was in the process of children’s Hebrew education in general, and in mediating the content of this Hebrew periodical in particular.
Use of Impedance Spectroscopy for the Characterization of the Microstructure of Alkali Activated SiMn Slag: Influence of Activator and Time Evolution
Authors: Navarro R. , Zornoza E. , Alcocel E. G. , Sánchez I. 
Published: December 2022

AbstractThe impedance spectroscopy technique has been used to study the microstructure of the binder resulting from the alkaline activation of SiMn slag. Two alkaline activators were used: waterglass and NaOH. Three different concentrations were analysed for both activators: 3.0, 3.5 and 4.0% Na2O for NaOH; and 4.0, 4.5 and 5.0% Na2O for waterglass with a constant SiO2/Na2O ratio of 1.0. The time evolution of the microstructure has been followed up using the non-destructive technique of impedance spectroscopy. This technique has been proved to be effective describing the microstructural changes in alkali activated pastes, and also can help predicting the mechanical behavior of mortars. The use of the resistivity itself seems to be deficient, but the analysis of the electrical parameters calculated from the impedance spectra measured gives a complete idea of the evolution in the material.
Trade credit and firm investments: empirical evidence from Italian cooperative banks
Authors: Filomeni Stefano , Modina Michele , Tabacco Elena 
Published: December 2022

AbstractBy exploiting a unique and proprietary panel dataset comprising 6480 Italian SMEs having a relationship with 99 cooperative banks over the period 2008–2014, we investigate the influence of the trade credit channel on firm investment decisions in the Italian market, distinguished by a considerable presence of relationship cooperative banks’ branches with a heterogeneous geographical distribution. Firstly, our findings confirm a significant influence of the trade credit channel on firm investment decisions. Secondly, we document that SMEs located in those Italian provinces with an abundance of cooperative banks’ branches rely less on trade credit to finance investments. Lastly, we show that longer firm-bank relationships decrease firm dependence on trade credit to boost investments. Our study is of particular relevance because it strengthens the effectiveness of the trade credit channel for SMEs in spurring corporate investments. Indeed, fostering a deep understanding of the real effects of firm financing sources is paramount to encourage investment by SMEs and to allow them to preserve their positioning in the market. Moreover, we exploit the Italian market, well-suited to perform such an analysis, since it is characterized by more inter-personal financing relationships as compared to other countries.
Latency and sampling compensation in mixed-reality-in-the-loop simulations of production systems
Authors: Schnierle Marc , Röck Sascha 
Published: December 2022

AbstractX-in-the-Loop Simulation methods (Model-in-the-Loop, Software-in-the-Loop and Hardware-in-the-Loop Simulation) enable the virtual commissioning of production systems in the mechatronic development process by coupling control systems and digital twins. Mixed-Reality-in-the-Loop Simulations (MRiLS) extend this principle with Mixed Reality visualisation technologies to enhance the visual fusion of reality (e.g., real environment and human) and virtuality (digital twins), opening up a simulation loop in the reality-virtuality continuum with novel application potentials e.g., from development, training to maintenance. A major challenge in MRiLS is the positioning error of actuated real-data driven virtual components caused by latency and sampling processes between the industrial control system and the Mixed Reality device which significantly limits the application scope. To reduce this error, the paper proposes a compensation method that synchronises the Mixed Reality device to the stable time base of the control system and integrates a predictive positioning of virtual components. A software-based synchronisation method is presented, which allows the online estimation of the End-to-End latency between the control cycle and the visualisation. For prediction, interpolating and approximating section-wise defined polynomials are analysed. The error reduction by applying the compensation method is shown in a realisation example of a virtual gripper linked to a real robot kinematics.
Body image concerns in long-term head and neck cancer survivors: prevalence and role of clinical factors and patient-reported late effects
Authors: Ivanova Anna , Rodríguez-Cano Rubén , Kvalem Ingela Lundin , Harcourt Diana , Kiserud Cecilie E. , Amdal Cecilie D. 
Published: December 2022

AbstractPurposeHead and neck cancer (HNC) patients are at risk of long-term body image distress (BID). We aimed to investigate the severity of BID in long-term HNC survivors and to explore the associations between sociodemographic and clinical factors, patient-reported late effects, and cancer-related body image (BI) concerns.MethodsThis cross-sectional study included quality of life and BI assessment in an 8-year (SD = 1.58) follow-up after treatment among 258 HNC survivors. Multinomial logistic regression analysis was used to investigate the relationship between three groups of BI concerns (no concerns, mild to moderate concerns, and BID) and patient-reported late effects. Sociodemographic and clinical variables were included in the model as covariates.ResultsA total of 51.2% of participants had mild to moderate BI concerns, and 9.5% reported BID. Compared to those with no BI concerns, participants with BID were more likely to live without a partner, to have had radiotherapy and surgery, and to report worse emotional functioning and higher oral and throat pain. Compared to participants with no BI concerns, those with mild to moderate concerns reported higher oral and throat pain and speech problems.ConclusionsSome level of cancer-related BI concerns persisted in the majority of HNC survivors many years after treatment, while a small proportion of survivors experienced BID. BI concerns were associated with treatment modality and patients’ daily functioning and symptoms.Implications for Cancer SurvivorsInsight into factors associated with BI problems may help to identify survivors at risk and may facilitate closer follow-up of survivors in need.
Robots in Games
Authors: Rato Diogo , Correia Filipa , Pereira André , Prada Rui 
Published: December 2022

AbstractDuring the past two decades, robots have been increasingly deployed in games. Researchers use games to better understand human-robot interaction and, in turn, the inclusion of social robots during gameplay creates new opportunities for novel game experiences. The contributions from social robotics and games communities cover a large spectrum of research questions using a wide variety of scenarios. In this article, we present the first comprehensive survey of the deployment of robots in games. We organise our findings according to four dimensions: (1) the societal impact of robots in games, (2) games as a research platform, (3) social interactions in games, and (4) game scenarios and materials. We discuss some significant research achievements and potential research avenues for the gaming and social robotics communities. This article describes the state of the art of the research on robots in games in the hope that it will assist researchers to contextualise their work in the field, to adhere to best practices and to identify future areas of research and multidisciplinary collaboration.
From Distraction to Mindfulness: Latent Structure of the Spanish Mind-Wandering Deliberate and Spontaneous Scales and Their Relationship to Dispositional Mindfulness and Attentional Control
Authors: Cásedas Luis , Torres-Marín Jorge , Coll-Martín Tao , Carretero-Dios Hugo , Lupiáñez Juan 
Published: December 2022

Abstract

Objectives
Mind-wandering is a form of internal distraction that may occur both deliberately and spontaneously. This study aimed to provide a psychometric evaluation of the Spanish version of the Mind-Wandering Deliberate and Spontaneous (MW-D/MW-S) scales, as well as to extend prior research investigating their associations with dispositional mindfulness (Five Facets Mindfulness Questionnaire) and with the ability for attentional control of external distraction (Attentional Control Scale).

Method
In two large samples (n1 = 795; n2 = 1084), we examined latent structure, item- and dimension-level descriptive statistics, and internal consistency reliability scores of the Spanish MW-D/MW-S scales. Partial correlations were used to evaluate their associations with dispositional mindfulness and attentional control. Multiple linear regression and relative weight analyses were used to investigate whether or not, and to what extent, the facets of mindfulness could be uniquely predicted by internal and external distraction.

Results
The Spanish MW-D/MW-S scales demonstrated a two-factor structure, high internal consistency reliability scores, and good nomological validity. Dispositional mindfulness was independently explained by internal and external distraction. MW-S was the largest (negative) predictor of the scores of the Five Facet Mindfulness Questionnaire, being this association particularly strong for the facet Acting with awareness. Conversely, MW-D was mildly associated with increased mindfulness. In addition, attentional control was found moderately negatively associated with MW-S and mildly positively associated with MW-D.

Conclusions
Our results indicate that the Spanish version of the MW-D/MW-S scales are a useful tool to assess individual differences in deliberate and spontaneous mind-wandering, shed light on the relationship between mindfulness and both internal and external distraction, and accentuate the critical role of intentionality in the study of the mind-wandering phenomena.