bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Taste of Dissent: Experiences of Heretical Blessed Bread as a Dimension of Lived Religion in Thirteenth- and Early Fourteenth-century Languedoc
Authors: Pihko Saku 
Published: March 2022

AbstractPihko examines inquisition records from medieval Languedoc in order to investigate experiences related to the ritualized and allegedly heretical practice of blessing bread. The chapter provides an overview of the evidence regarding this often noted but insufficiently researched phenomenon. It highlights the materiality of lived religion and the active part played by lay people as participants in religious rituals, as well their role as consumers, interpreters, and distributors of blessed bread. The case study is inserted into wider discussions related to the history of medieval lived religion and the history of experiences. To illuminate their inner dynamics, the chapter proposes that historical experiences and lived religion can be understood as complex, emergent phenomena.
Constructing “Mad” Religious Experiences in Early Modern Sweden
Authors: Miettinen Riikka 
Published: March 2022

AbstractThis chapter discusses the process of constructing religious experiences as pathological and ‘mad’ in early modern Sweden, during an era of great religious plurality but also strict Lutheran orthodoxy. By using two case studies of envisioned angelic encounters from early 18th century as examples, it shows the participation of several actors and discursive authorities in shaping and negotiating personal spiritual experiences. Medicalization of deviant religious experiences was one way of controlling faith and upholding the discursive hegemony of the Swedish Lutheran state Church over religion. The focus is on the process-nature of experiencing and the power dynamics in play in invalidating norm-breaching experiences.
New $$ \mathcal{N} $$ = 1 AdS4 solutions of type IIB supergravity
Authors: Berman David , Fischbacher Thomas , Inverso Gianluca 
Published: March 2022

Abstract
We construct analytically a new family of supersymmetric AdS4 solutions of IIB supergravity, with the internal space provided by a deformed S5 × S1. The solutions preserve $$ \mathcal{N} $$
N
= 1 supersymmetry and an SO(3) subgroup of isometries of S5, which is broken to U(1) along a flat direction. They are further parametrised by a winding number and a choice of SL(2) duality twist along the circle in an elliptic conjugacy class, thus including both globally geometric and S-fold configurations. We identify these solutions by first constructing a new family of vacua of D = 4, U(4) ⋉ ℝ12 gauged maximal supergravity and use exceptional field theory to perform the uplift to ten dimensions. We discuss the relevance of D = 5 Wilson loops associated to preserved and broken gauge symmetries in the construction of these classes of solutions.
Anhaltende Fatigue als Folge einer COVID-19-Infektion bei Beschäftigten im Gesundheitswesen: Risikofaktoren und Auswirkungen auf die Lebensqualität
Authors: Haller Julia , Kocalevent Rüya-Daniela , Nienhaus Albert , Peters Claudia , Bergelt Corinna , Koch-Gromus Uwe 
Published: March 2022

Zusammenfassung
Hintergrund und Ziel
Durch ihre Tätigkeit sind Menschen aus medizinisch-pflegerischen Berufen einem erhöhten Risiko für eine SARS-CoV-2-Infektion ausgesetzt und dadurch öfter von Krankheitsfolgen betroffen. In bisherigen Studien wurde als häufigste Krankheitsfolge die postvirale Fatigue (Erschöpfungssyndrom nach viraler Infektion) identifiziert. Das Ziel der Studie war die Untersuchung von Risikofaktoren für anhaltende Fatiguesymptome infolge einer COVID-19-Infektion und deren Auswirkungen bei Beschäftigten im Gesundheitswesen.

Methoden
Im Frühjahr 2021 wurden 4315 Versicherte der Berufsgenossenschaft für Gesundheitsdienst und Wohlfahrtspflege (BGW) für eine schriftliche Befragung zu ihrer COVID-19-Erkrankung im Jahr 2020 und den Krankheitsfolgen angeschrieben. Dabei wurden Symptome der Akutinfektion, Krankheitsfolgen, mögliche Risikofaktoren sowie der körperliche und psychische Gesundheitszustand nach der SARS-CoV-2-Infektion erhoben. Als Fatiguescreening wurde die Skala „Allgemeine Erschöpfung“ des Multidimensional Fatigue Inventory (MFI) eingesetzt. Zur Datenanalyse wurden Regressionsanalysen und multivariate Varianzanalysen berechnet.

Ergebnisse
10,7 % der Befragten wiesen schwere Fatiguewerte auf. Als Risikofaktoren für eine klinische Fatiguesymptomatik konnten u. a. Vorerkrankungen der Psyche und Atemwege sowie die Schwere der Akutinfektion identifiziert werden. Weiterhin war eine schwere Long‑/Post-COVID-Fatigue mit einer höheren psychischen Belastung, einer niedrigeren gesundheitsbezogenen Lebensqualität sowie mit einer häufigeren Arbeitsunfähigkeit assoziiert.

Diskussion
Von schwerer Long‑/Post-COVID-Fatigue geht ein hoher Leidensdruck aus, der spezifische Rehabilitationsansätze erfordert und Sozialversicherungsträger sowie Unfallversicherer vor die Herausforderung stellt, geeignete Rehabilitationskonzepte zu entwickeln.
Cough in the Elderly During the COVID-19 Pandemic
Authors: Kaulamo Johanna Tuulikki , Lätti Anne Marika , Koskela Heikki Olavi 
Published: March 2022

Abstract
Introduction
The prevalence of chronic cough increases with age. However, data on the prevalence and background disorders of cough subtypes in the elderly are scarce. The objective of this study was to identify the point prevalence and risk factors of acute, subacute, and chronic cough in an elderly community-based population.

Methods
This was a cross-sectional email survey amongst 26,205 members of the Finnish Pensioners’ Federation during the COVID-19 pandemic in spring 2021.

Results
The response rate was 23.6% (6189). 5983 subjects aged at least 64 years were included in the analyses (mean 72.6 years, 66.3% female). The point prevalence of daily acute, subacute, and chronic cough were 1.4%, 0.7%, and 9.6%, respectively. Only 0.4% of the subjects had a COVID-19 infection. In the multivariate analyses, chronic rhinosinusitis, and obstructive sleep apnoea were common risk factors for all cough subtypes. Chronic cough had several risk factors; Bronchiectasis (OR 5.79 (CI95% 2.70–12.41)), current asthma (2.67 (2.02–3.54)), chronic rhinosinusitis (2.51 (1.94–3.24)), somatic symptom score (1.13 per symptom (1.07–1.19)), family history of chronic cough (1.88 (1.54–2.30)), gastro-oesophageal reflux disease (1.86 (1.50–2.32)), advanced age (1.20 per decade (1.02–1.40)), chronic obstructive pulmonary disease (1.74 (0.99–3.05)), dog ownership (1.42 (1.07–1.89)), and obstructive sleep apnoea (1.41 (1.16–1.73)).

Conclusion
Acute and subacute cough, as well as previous COVID-19 infection, were uncommon in this Finnish elderly population. The prevalence of chronic cough was higher than that previously found in younger adults. Chronic cough is a multifactorial disorder in the elderly.
Recurrent osteomyelitis with proliferative periostitis after segmental resection and reconstruction of the mandible: a case report
Authors: Maurer Michael , Gottsauner Josef Maximilian , Mamilos Andreas , Reichert Torsten E. , Ettl Tobias 
Published: March 2022

AbstractA 50-year-old patient presented with a two-year history of chronic osteomyelitis of the left mandibular body. It was treated by wide segmental resection of the left hemimandible and reconstruction with a free vascularized fibular graft. Six months after surgery, the patient returned with pain, swelling, and moth-like lesions in the transplant in combination with appositional bone formation surrounding the ossified fibular bone. Radiographic and histological examination led to the diagnosis of a recurrent osteomyelitis with proliferative periostitis affecting the resected and reconstructed mandible. Application of ibandronate led to a significant symptom decrease.
Gang Phantasmagoria: How Racialized Gang Allegations Haunt Immigration Legal Work
Authors: Muñiz Ana 
Published: March 2022

AbstractThrough an analysis of interviews with Southern California attorneys, supplemented by archival materials, this article contributes to the literature on gangs, critical criminology, and Gothic tropes by examining how the ambiguous nature of gang profiling allows state actors to target racialized others in various legal and administrative venues with little evidence and few procedural protections. I conceptualize gang phantasmagoria as the constant, amorphous, unpredictable, and haunting threat of racialized gang allegations and argue that the dynamic shapes the work of legal practitioners and constitutes a state mechanism of racial terror. Specifically, first I argue that government officials deploy the specter of gangs to both portray asylum seekers as monstrous threats and justify restrictions in asylum eligibility. I then illustrate how the potential for gang phantasmagoria to upend asylum applications and trigger the deportation of their clients elicits constant low-grade anxiety for attorneys. Consequently, attorneys are forced to adopt more cautious approaches to legal work in a way that indirectly facilitates the social control of young Latinx immigrants.
The German Facebook case: the law and economics of the relationship between competition and data protection law
Authors: Kerber Wolfgang , Zolna Karsten K. 
Published: March 2022

AbstractCan competition law consider effects on privacy, or should privacy concerns of data-collecting behaviour only be dealt with by data protection law? In this paper, we analyse the German Facebook case, in which the requirement of giving consent to the combination of personal data from different sources was prohibited as exploitative abuse by a dominant firm. We show, from an economic perspective, that due to the simultaneous existence of two market failures (market dominance, information and behavioural problems) and complex interaction effects between both market failures and both policies in digital markets, a new, much more complex relationship emerges. Since the traditional approach of a strict separation of both policies is no longer feasible, a more integrative and collaborative policy approach for competition law and data protection law might be necessary. With respect to the substantive issue in the Facebook case, i.e. protecting a minimum standard of choice for consumers regarding their personal data vis-a-vis dominant digital platform firms, the recent decision by the German Federal Court of Justice in this case and the proposed Digital Markets Act have led to new perspectives for dealing with privacy concerns in competition law and new forms of ex-ante regulation.
New Representations for the Curvature Tensor of a Surface with Application to Theories of Elastic Shells
Authors: Goldberg Nathaniel N. , O’Reilly Oliver M. 
Published: March 2022

AbstractConsider two points $P$
P
and $Q$
Q
on a surface. Modulo rotations about the normal vector to the surface at $P$
P
and the normal vector to the surface at $Q$
Q
, a rotation can be defined that maps the unit normal vector to the surface at $Q$
Q
to the corresponding unit normal vector at $P$
P
. With the help of Weingarten’s formulae, new representations are established for the components of the curvature tensor of a surface and the associated mean and Gaussian curvatures in terms of components of a pair of vectors associated with the rotation. The formulae are shown to be helpful in demonstrating how different strain measures for Kirchhoff-Love shell theory are equivalent.
TCTracer: Establishing test-to-code traceability links using dynamic and static techniques
Authors: White Robert , Krinke Jens 
Published: March 2022

AbstractTest-to-code traceability links model the relationships between test artefacts and code artefacts. When utilised during the development process, these links help developers to keep test code in sync with tested code, reducing the rate of test failures and missed faults. Test-to-code traceability links can also help developers to maintain an accurate mental model of the system, reducing the risk of architectural degradation when making changes. However, establishing and maintaining these links manually places an extra burden on developers and is error-prone. This paper presents TCTracer, an approach and implementation for the automatic establishment of test-to-code traceability links. Unlike existing work, TCTracer operates at both the method level and the class level, allowing us to establish links between tests and functions, as well as between test classes and tested classes. We improve over existing techniques by combining an ensemble of new and existing techniques that utilise both dynamic and static information and exploiting a synergistic flow of information between the method and class levels. An evaluation of TCTracer using five large, well-studied open source systems demonstrates that, on average, we can establish test-to-function links with a mean average precision (MAP) of 85% and test-class-to-class links with an MAP of 92%.
Effects of variability in models: a family of experiments
Authors: Mahmood Wardah , Strüber Daniel , Anjorin Anthony , Berger Thorsten 
Published: March 2022

AbstractThe ever-growing need for customization creates a need to maintain software systems in many different variants. To avoid having to maintain different copies of the same model, developers of modeling languages and tools have recently started to provide implementation techniques for such variant-rich systems, notably variability mechanisms, which support implementing the differences between model variants. Available mechanisms either follow the annotative or the compositional paradigm, each of which have dedicated benefits and drawbacks. Currently, language and tool designers select the used variability mechanism often solely based on intuition. A better empirical understanding of the comprehension of variability mechanisms would help them in improving support for effective modeling. In this article, we present an empirical assessment of annotative and compositional variability mechanisms for three popular types of models. We report and discuss findings from a family of three experiments with 164 participants in total, in which we studied the impact of different variability mechanisms during model comprehension tasks. We experimented with three model types commonly found in modeling languages: class diagrams, state machine diagrams, and activity diagrams. We find that, in two out of three experiments, annotative technique lead to better developer performance. Use of the compositional mechanism correlated with impaired performance. For all three considered tasks, the annotative mechanism was preferred over the compositional one in all experiments. We present actionable recommendations concerning support of flexible, tasks-specific solutions, and the transfer of established best practices from the code domain to models.
Family Functioning and Emotional Aspects of Children with Autism Spectrum Disorder in Southern Brazil
Authors: Flenik Tatiana M. N. , Bara Tiago S. , Cordeiro Mara L. 
Published: March 2022

AbstractAutism spectrum disorder (ASD) affects children and their families. We investigated the family environment of children with ASD in Brazil. Twenty-one families participated. Outcome measures administered to parents included the Strengths and Difficulties Questionnaire, Questionnaire on Resources and Stress—Short Form, and the Family Environment Scale. All families reported a number of difficulties, including social interactions and peer relationships, stress levels, and communication difficulties. Families also reported great concern for their child’s future. Brazil is a developing country, yet there are few national resources and studies related to ASD. The challenges continue from diagnosis through treatment. Our results emphasize the need to understand the family environment of children with autism and their parents’ apprehensions to develop effective coping programs.
A review of near-surface QS estimation methods using active and passive sources
Authors: Parolai Stefano , Lai Carlo G. , Dreossi Ilaria , Ktenidou Olga-Joan , Yong Alan 
Published: March 2022

AbstractSeismic attenuation and the associated quality factor (Q) have long been studied in various sub-disciplines of seismology, ranging from observational and engineering seismology to near-surface geophysics and soil/rock dynamics with particular emphasis on geotechnical earthquake engineering and engineering seismology. Within the broader framework of seismic site characterization, various experimental techniques have been adopted over the years to measure the near-surface shear-wave quality factor (QS). Common methods include active- and passive-source recording techniques performed at the free surface of soil deposits and within boreholes, as well as laboratory tests. This paper intends to provide an in-depth review of whatQis and, in particular, howQSis estimated in the current practice. After motivating the importance of this parameter in seismology, we proceed by recalling various theoretical definitions ofQand its measurement through laboratory tests, considering various deformation modes, most notablyQPandQS. We next provide a review of the literature onQS estimation methods that use data from surface and borehole sensor recordings. We distinguish between active- and passive-source approaches, along with their pros and cons, as well as the state-of-the-practice and state-of-the-art. Finally, we summarize the phenomena associated with the high-frequency shear-wave attenuation factor (kappa) and its relation toQ, as well as other lesser-known attenuation parameters.
Polycyclic aromatic hydrocarbons and their oxygenated derivatives in urban aerosol: levels, chemical profiles, and contribution to PM2.5 oxidative potential
Authors: Pietrogrande Maria Chiara , Bacco Dimitri , Demaria Giorgia , Russo Mara , Scotto Fabiana , Trentini Arianna 
Published: March 2022

AbstractThe concentrations of polycyclic aromatic hydrocarbons (PAHs) and quinones, a subgroup of oxygenated PAHs (oxy-PAHs), were measured in PM2.5 samples collected during warm (May–June 2019) and cold (February–March 2020) seasons in the city of Bologna, Italy. Total PAHs concentration was nearly double in winter (6.58 ± 1.03 ng m−3) compared with spring (3.16 ± 0.53 ng m−3), following the trend of the PM2.5 mass concentration. Molecular diagnostic ratios suggested that, together with traffic, biomass burning was the dominant emission source contributing to the peaks of concentration of PM2.5 registered in the cold season. Quinone level was constant in both seasons, being 1.44 ± 0.24 ng m−3, that may be related to the increased secondary formation during warm season, as confirmed by the higher Σoxy-PAHs/ΣPAHs ratio in spring than in winter. The oxidative potential (OP) of the PM2.5 samples was assessed using acellular dithiothreitol (DTT) and ascorbic acid (AA) assays. The obtained responses showed a strong seasonality, with higher volume-normalized (OPV) values in winter than in spring, i.e., OPVDTT: 0.32 ± 0.15 nmol min−1 m−3 vs. 0.08 ± 0.03 nmol min−1 m−3 and OPVAA: 0.72 ± 0.36 nmol min−1 m−3 vs. 0.28 ± 0.21 nmol min−1 m−3. Both OPVDTT and OPVAA responses were significantly associated with total PAHs, as a general descriptor of redox-active PAH derivatives, associated with co-emission from burning sources or secondary atmospheric oxidation of parent PAHs. Otherwise, only winter OPVDTT responses showed a significant correlation with total Ʃoxy-PAHs concentration.
Heavy metals and metalloid levels in the tissues of yellow-legged gulls (Larus michahellis) from Spain: sex, age, and geographical location differences
Authors: Vizuete Jorge , Hernández-Moreno David , López-Beceiro Ana , Fidalgo Luis Eusebio , Soler Francisco , Pérez-López Marcos , Míguez-Santiyán María Prado 
Published: March 2022

AbstractIn the present study, mercury (Hg), cadmium (Cd), lead (Pb), selenium (Se), and arsenic (As) were measured in liver, kidney, and feathers of adult, juvenile, and chick seagulls (Larus michahellis) collected from the northwest of Spain. Age, sex, and the geographical location of samples were considered variables that can influence metal bioaccumulation, for which concentrations were determined by means of ICP-MS. The mean concentrations (dry weight) found in seagulls were 7.01 ± 0.37 mg Hg/kg, 22.82 ± 2.83 mg Cd/kg, 7.36 ± 1.36 mg Pb/kg, 18.64 ± 0.63 mg Se/kg, and 10.64 ± 0.59 mg As/kg. Regarding the different factors analyzed, Hg was the only metal showing sex-related differences, being significantly higher (p < 0.05) the concentrations found in feathers of males (1.26 ± 0.12 mg/kg) than those in females (0.99 ± 0.11 mg/kg). A highly significant (p < 0.01) increase in levels of some metals was found in liver related to the increase of age: Hg (adults (A) 3.33 ± 0.22 mg/kg vs chicks (C) 1.76 ± 0.28 mg/kg), Cd (A 4.74 ± 0.62 mg/kg vs C 1.79 ± 0.2), Pb (A 0.65 ± 0.12 mg/kg vs juveniles 0.4 ± 0.11 mg/kg), and Se (A 7.56 ± 0.43 mg/kg vs C 5.24 ± 0.53 mg/kg). Positive correlations between Cd-Hg and Se–Hg were found in liver (p < 0.001), kidney (p < 0.001), and feathers (p < 0.05 and p < 0.001, respectively). The associations found may reflect antagonistic interactions between Se and Cd on Hg toxicity. The results suggest that L. michahellis can reveal local contamination around the foraging and breeding sites and can be a very useful monitoring instrument for assessing heavy metal contamination and sentinel species of environmental health.
Recent advances in statistical methodologies in evaluating program for high-dimensional data
Authors: Zhan Ming-feng , Cai Zong-wu , Fang Ying , Lin Ming 
Published: March 2022

AbstractThe era of big data brings opportunities and challenges to developing new statistical methods and models to evaluate social programs or economic policies or interventions. This paper provides a comprehensive review on some recent advances in statistical methodologies and models to evaluate programs with high-dimensional data. In particular, four kinds of methods for making valid statistical inferences for treatment effects in high dimensions are addressed. The first one is the so-called doubly robust type estimation, which models the outcome regression and propensity score functions simultaneously. The second one is the covariate balance method to construct the treatment effect estimators. The third one is the sufficient dimension reduction approach for causal inferences. The last one is the machine learning procedure directly or indirectly to make statistical inferences to treatment effect. In such a way, some of these methods and models are closely related to the de-biased Lasso type methods for the regression model with high dimensions in the statistical literature. Finally, some future research topics are also discussed.