bluuebunny/crossref_metadata_2025_split huggingface dataset:
De Sitter static black ring in large D membrane paradigm at the second order
Authors: Mandlik Mangesh 
Published: September 2022

Abstract
It was shown in [1] that the effective stationary membrane equations from the large D membrane paradigm at the first order admit black ring solutions in flat and AdS cases, but the de Sitter solution obtained in [2] lies outside the domain of their applicability. In this short note the static de Sitter black ring is obtained from the second order membrane paradigm, and it satisfies the equilibrium condition for the thin ring solution of [2]. This provides a segue into the stationary black rings at the second order.
ECMO-Unterstützung während der ersten 2 Wellen der Coronapandemie – eine Umfrage an Zentren mit hohen Fallzahlen in Deutschland
Authors: Supady Alexander , Michels Guido , Lepper Philipp M. , Ferrari Markus , Wippermann Jens , Sabashnikov Anton , Thiele Holger , Hennersdorf Marcus , Lahmer Tobias , Boeken Udo , Gummert Jan , Tigges Eike , Muellenbach Ralf M. , Spangenberg Tobias , Wengenmayer Tobias , Staudacher Dawid L. 
Published: September 2022

Zusammenfassung
Hintergrund
Zu Beginn der Coronaviruspandemie wurde eine Überlastung der verfügbaren intensivmedizinischen Ressourcen befürchtet. Vielerorts wurden Routineeingriffe eingeschränkt und Kriterien für die Zuteilung knapper Ressourcen formuliert. In Deutschland kam es regional im Verlauf der Pandemie zeitweise zu Überlastungssituationen in den Kliniken. Speziell auf Intensivstationen zeigte sich eine Ressourcenknappheit, die zur Einschränkung von Leistungen und zu einer strengeren Indikationsstellung für ressourcenintensive Maßnahmen wie der extrakorporalen Membranoxygenierung (ECMO) geführt haben kann. Ziel dieser Arbeit ist es, einen Überblick über den Umgang mit diesen Belastungen an großen ECMO-Zentren in Deutschland zu gewinnen.

Methodik
Über persönliche Ansprache wurde im Frühjahr 2021 je ein Vertreter an großen ECMO-Zentren in Deutschland zur Teilnahme an einer Onlineumfrage eingeladen.

Ergebnisse
Insgesamt wurden 34 Einladungen verschickt, die Umfrage wurde von 23 Teilnehmern beantwortet. In allen Zentren wurden im Verlauf der Pandemie Routineeingriffe verschoben. Die Hälfte der Zentren erhöhte die Anzahl von Betten, auf denen ECMO-Verfahren durchgeführt werden konnten, in einem Drittel der Zentren wurde dennoch der Beginn mindestens einer ECMO-Unterstützung wegen einer befürchteten Ressourcenknappheit verzögert. In 17 % der Zentren wurde mindestens einem Patienten eine ECMO verweigert, die der Patient unter den Bedingungen vor der Pandemie aller Voraussicht nach erhalten hätte.

Diskussion
Die Ergebnisse dieser Onlineumfrage zeigen, dass die erlebten Belastungen und Ressourcenengpässe in einigen Zentren zu einer zurückhaltenden ECMO-Indikationsstellung führten.
Optimization of fixture locating layout design using comprehensive optimized machine learning
Authors: Qazani Mohammad Reza Chalak , Parvaz Hadi , Pedrammehr Siamak 
Published: September 2022

AbstractFixtures are commonly employed in production as work holding devices that keep the workpiece immobilized while machined. The workpiece’s deformation, which affects machining precision, is greatly influenced by the positioning of fixture elements around the workpiece. By positioning the locators and clamps appropriately, the workpiece’s deformation might be decreased. Therefore, it is required to model the fixture–workpiece system’s complicated behavioral relationship. In this study, long short-term memory (LSTM), multilayer perception (MLP), and adaptive neuro-fuzzy inference system (ANFIS) are three machine-learning approaches employed to model the connection between locator and clamp positions and maximum workpiece deformation throughout end milling. The hyperparameters of the developed ANFIS, MLP, and LSTM are chosen using the evolutionary algorithms, including genetic algorithm (GA), particle swarm optimization (PSO), butterfly optimization algorithm (BOA), grey wolf optimization (GWO), and wolf optimization algorithm (WOA). Among developed methods, MLP optimized using BOA (BOA-MLP) reached the highest accuracy among all developed models in predicting the response surface. The developed model had a lower computational load than the final element model in calculating the response surface during the machining process. At the final step, the prementioned five evolutionary algorithms were implemented in the developed BOA-MLP to extract the optimal parameters of the fixture to decrease the deflection of the workpiece throughout the machining. The proposed method was modeled in MATLAB. The outcomes showed that the mentioned model was efficient enough compared with the previous method, such as optimized response surface methodology in the point view of 0.0441 μm lower workpiece deflection.
123I-MIBG imaging in heart failure: impact of comorbidities on cardiac sympathetic innervation
Authors: Gargiulo Paola , Acampa Wanda , Asile Gaetano , Abbate Vincenza , Nardi Ermanno , Marzano Federica , Assante Roberta , Nappi Carmela , Parlati Antonio Luca Maria , Basile Christian , Dellegrottaglie Santo , Paolillo Stefania , Cuocolo Alberto , Perrone-Filardi Pasquale 
Published: September 2022

Abstract

Purpose
Heart failure (HF) is a primary cause of morbidity and mortality worldwide, with significant impact on life quality and extensive healthcare costs. Assessment of myocardial sympathetic innervation function plays a central role in prognosis assessment in HF patients.
The aim of this review is to summarize the most recent evidence regarding the clinical applications of iodine-123 metaiodobenzylguanidine (123I-MIBG) imaging in patients with HF and related comorbidities.

Methods
A comprehensive literature search was conducted on PubMed and Web of Science databases.
Articles describing the impact of 123I-MIBG imaging on HF and related comorbidities were considered eligible for the review.

Results
We collected several data reporting that 123I-MIBG imaging is a safe and non-invasive tool to evaluate dysfunction of cardiac sympathetic neuronal function and to assess risk stratification in HF patients. HF is frequently associated with comorbidities that may affect cardiac adrenergic innervation. Furthermore, HF is frequently associated with comorbidities and chronic conditions, such as diabetes, obesity, kidney disease and others, that may affect cardiac adrenergic innervation.

Conclusion
Comorbidities and chronic conditions lead to more severe impairment of sympathetic nervous system in patients with HF, with a negative impact on disease progression and outcome. Cardiac imaging with 123I-MIBG can be a useful tool to reduce morbidity and prevent adverse events in HF patients.
Bounded DBM-based clock state construction for timed automata in Uppaal
Authors: Lehmann Sascha , Schupp Sibylle 
Published: September 2022

AbstractWhen the simulation of a system, or the verification of its model, needs to be resumed in an online context, we face the problem that a particular starting state needs to be reached or constructed, from which the process is then continued. For timed automata, especially the construction of a desired clock state, represented as a difference bound matrix (DBM), can be problematic, as only a limited set of DBM operations is available, which often does not include the ability to set DBM entries individually to the desired value. In online applications, we furthermore face strict timing requirements imposed on the generation process. In this paper, we present an approach to construct a target clock state in a model via sequences of DBM operations (as supported by the model checkerUppaal), for which we can guarantee bounded lengths, solving the present problem of ever-growing sequences over time. The approach forges new intermediate states and transitions based on an overapproximation of the target state, followed by a constraining phase, until the target state is reached. We prove that the construction sequence lengths are independent of the original trace lengths and are determined by the number of system clocks only, allowing for state construction in bounded time. Furthermore, we implement the (re-)construction routines and an extendedUppaalmodel simulator which provides the original operation sequences. Applying the approach to a test model suite as well as randomly generated DBM operation sequences, we empirically validate the theoretical result and the implementation.
Induction of neutralizing antibodies in CLL patients after SARS-CoV-2 mRNA vaccination: a monocentric experience
Authors: Baratè Claudia , Caruso Teresita , Mavilia Fabrizio , Sammuri Paola , Pratesi Federico , Motta Giuseppe , Guerri Valentina , Galimberti Sara , Migliorini Paola 
Published: September 2022

AbstractVaccination represents the best strategy to fight COVID-19 pandemics, especially in immune compromised subjects. In chronic lymphatic leukemia patients, a marked impairment of the immune response to mRNA SARS-CoV-2 vaccine was observed. In this report, we analyzed anti-RBD and neutralizing antibodies in CLL patients after two doses of mRNA SARS CoV 2 vaccine and evaluated the impact of Bruton kinase inhibitory agents. Twenty-seven CLL patients vaccinated with mRNA vaccines against SARS CoV-2 were recruited. Serum IgG, IgM and IgA anti-RBD antibodies and neutralizing antibodies were detected, and antibody avidity was measured. Peripheral blood leukocytes subsets were evaluated by flow cytometry. After two vaccine doses anti-RBD IgG were produced in 11/27 (40.5%) of patients and levels of IgG and IgA anti RBD in CLL patients were sensibly lower than in controls. Neutralizing antibodies were detectable in 12/27 (44.5%) of the patients and their level was lower than that observed in controls. Disease burden and treatment with Bruton kinases inhibitors markedly impaired vaccine induced antibody response. However, in responder patients, antibody avidity was comparable to normal subjects, indicating that the process of clonal selection and affinity maturation takes place as expected. Taken together, these data confirm the impact of disease burden and therapy on production of anti-RBD and neutralizing antibodies and support the current policy of vaccinating CLL patients.
“Come and share your story and make everyone cry”: complicating service user educator storytelling in mental health professional education
Authors: LeBlanc-Omstead Stephanie , Kinsella Elizabeth Anne 
Published: September 2022

AbstractIt has become relatively common practice within health professional education to invite people who have used mental health and social care services (orservice user educators) to share their stories with health professional learners and students. This paper reports on findings from a postcritical ethnographic study of the practice of service user involvement (SUI), in which we reflexively inquired into conceptualizations of service user educators’ knowledge contributions to health professional education in the accounts of both service user- and health professional educators. This research was conducted in response to recent calls for greater scrutiny surrounding the risks, challenges, and complexities inherent in involving service users in health professional education spaces. ‘Story/telling’ was identified as a pronounced overarching construct in our analysis, which focuses on participants’ reports of both the obvious and more subtle tensions and complexities they experience in relation to storytelling as a predominant tool or approach to SUI. Our findings are presented as three distinct, yet overlapping, themes related to these complexities or tensions: (a) performative expectations; (b) the invisible work of storytelling; and (c) broadening conceptualizations of service user educators’ knowledge. Our findings and discussion contribute to a growing body of literature which problematizes the uncritical solicitation of service user educators’ stories in health professional education and highlights the need for greater consideration of the emotional and epistemic labour expected of those who are invited to share their stories. This paper concludes with generative recommendations and reflexive prompts for health professional educators seeking to engage service user educators in health professional education through the practice of storytelling.
Preparing patients according to their individual coping style improves patient experience of magnetic resonance imaging
Authors: Madl Janika E. M. , Sturmbauer Sarah C. , Janka Rolf , Bay Susanne , Rohleder Nicolas 
Published: September 2022

AbstractMRI-related anxiety is present in 30% of patients and may evoke motion artifacts/failed scans, which impair clinical efficiency. It is unclear how patient anxiety can be countered most effectively. Habitual preferences for coping with stressful situations by focusing or distracting one’s attention thereof (coping style) may play a key role in this context. This study aimed to compare the effectiveness of two patient-preparation videos with informational vs. relaxational content and to determine whether the fit between content and coping style affects effectivity. The sample consisted of 142 patients (M = 48.31 ± 15.81 years). Key outcomes were anxiety, and cortisol as a physiological stress marker. When not considering coping style, neither intervention improved the patients’ reaction; only patient preparation that matched the patients’ coping style was associated with an earlier reduction of anxiety. This suggests that considering individual preferences for patient preparation may be more effective than a one-size-fits-all approach.
EnGINE: Flexible Research Infrastructure for Reliable and Scalable Time Sensitive Networks
Authors: Rezabek Filip , Bosk Marcin , Paul Thomas , Holzinger Kilian , Gallenmüller Sebastian , Gonzalez Angela , Kane Abdoul , Fons Francesc , Haigang Zhang , Carle Georg , Ott Jörg 
Published: September 2022

AbstractSelf-driving and multimedia systems have common implications: increased demand on network bandwidth and computation nodes. To cope with the current and future challenges, intra-vehicular networks (IVNs) change their layout. They are built around powerful central nodes connected to the rest of the vehicle via Ethernet. The usage of Ethernet presents a challenge, as it by design lacks support for deterministic behavior, which is crucial for real-time systems. Therefore, the IEEE Time-Sensitive Networking (TSN) task group offers standards introducing low-latency and deterministic communication into Ethernet based networks allowing coexistence of best-effort and real-time traffic. To understand the coexistence challenges, these new networked systems need to be thoroughly evaluated with IVN requirements in mind. To assess various topologies, configurations, and data traffic types in IVN setups, we introduceEnvironment forGenericIn-vehicularNetworkingExperiments—EnGINE. It allows, among many others, repeatable, reproducible, and replicable TSN experiments with high precision and flexibility.EnGINEis based on commercial off-the-shelf hardware and uses the flexible Ansible framework for experiment orchestration. This allows us to configure various topologies emulating realistic behavior of IVNs or other time sensitive systems used, e.g., in industrial automation. Obtaining such realism is challenging using simulations. Based on available related work, we further address the challenges found in those networks, especially IVNs. We derive TSN domain framework requirements, provide details on design decisions for theEnGINE, and present results to show its capabilities. The results present relevant network metrics based on collected data. A key focus is on the experiment campaigns realism achieved by real IVNs’ data footage and the OS optimizations to offer real-time behavior. We believe thatEnGINEprovides the ideal environment for TSN experiments from different domains.
Formative-reflective scheme for the assessment of tourism destination competitiveness: an analysis of Italian municipalities
Authors: Grassini Laura , Magrini Alessandro , Conti Enrico 
Published: September 2022

AbstractIn this article, we propose a formative-reflective scheme for the assessment of Tourism Destination Competitiveness (TDC) based on a combined use of Partial Least Squares-Path Modelling (PLS-PM) and the method recently proposed by Fattore, Pelagatti, and Vittadini (FPV). TDC is conceived as a construct reflecting the tourism performance of a destination, and several determinants are considered, including endowed resources, created resources, and supporting factors. The proposed scheme is applied to a case study on 1575 Italian municipalities for which the Italian National Institute of Statistics released data on tourist flows. Our contribution is innovative for three aspects: (i) the consistency of the formative-reflective scheme for TDC assessment is discussed on a theoretical basis; (ii) an empirical comparison between PLS-PM and the FPV method is performed; (iii) data with higher granularity than most studies on TDC assessment are employed. Our findings highlight that endowed resources are the primary driver of TDC, followed by created resources and supporting factors, and emphasize that the best ranked destinations are big cities with a multifaceted tourism alongside sea and mountain destinations with cultural attractions.
On the translation from quantified modal logic to Counterpart Theory
Authors: Nencha Cristina 
Published: September 2022

AbstractLewis (1968) claims that his language of Counterpart Theory (CT) interprets modal discourse and he adverts to a translation scheme from the language of Quantified Modal Logic (QML) to CT. However, everybody now agrees that his original translation scheme does not always work, since it does not always preserve the ‘intuitive’ meaning of the translated QML-formulas. Lewis discusses this problem with regard to the Necessitist Thesis, and I will extend his discourse to the analysis of the Converse Barcan Formula.Everyone also agrees that there are CT-formulas that can express the QML-content that gets lost through the translation. The problem is how we arrive to them. In this paper, I propose new translation rules from QML to CT, based on a suggestion by Kaplan. However, I will claim that we cannot have ‘the’ translation scheme from QML to CT. The reason being that de re modal language is ambiguous. Accordingly, there are different sorts of QML, depending on how we resolve such ambiguity. Therefore, depending on what sort of QML we intend to translate into CT, we need to use the corresponding translation scheme. This suggests that all the translation problems might just disappear if we do what Lewis did not: begin with a fully worked out QML that tells us how to understand de re modal discourse.
The typicality effect in basic needs
Authors: Pölzler Thomas , Hannikainen Ivar R. 
Published: September 2022

AbstractAccording to the so-called Classical Theory, concepts are mentally represented by individually necessary and jointly sufficient application conditions. One of the principal empirical objections against this view stems from evidence that people judge some instances of a concept to be moretypicalthan others. In this paper we present and discuss four empirical studies that investigate the extent to which this ‘typicality effect’ holds for the concept ofbasic needs. Through multiple operationalizations of typicality, our studies yielded evidence for a strong effect of this kind: (1) Participants tended to recall the same core examples of the concept in a free-listing task. (2) They judged some basic needs to be more typical than others. (3) The items that were judged to be more typical were listed more frequently in the free-listing task. (4) These items were listed earlier on in the free-listing task. (5) Typical basic needs, as well as non needs, were classified faster than atypical basic needs in a reaction time study. These findings suggest that the concept of basic needs may have a non-classical (e.g., exemplar or prototype) structure. If so, the quest for a simple and robust intensional analysis of the concept may be futile.
The co-management approach has positive impacts on mangrove conservation: evidence from the mono transboundary biosphere reserve (Togo-Benin), West Africa
Authors: Gnansounou Setondé Constant , Sagoe Alberta Ama , Mattah Precious Agbeko Dzorgbe , Salako Kolawolé Valère , Aheto Denis Worlanyo , Glèlè Kakaï Romain 
Published: September 2022

Abstract Literature on conservation science has documented the increasing use of the co-management approach to effectively conserve natural resources. Although some studies found the co-management approach as highly effective, others also reported some uncertainties associated with the use of this conservation approach. Using the mono transboundary biosphere reserve (MTBR) as a case study, this work assessed the effectiveness of the co-management approach for mangrove conservation in West Africa. Data was collected in two protected sites of the reserve (one in Togo and the other in Benin). Exploratory sequential mixed method via in-depth interviews (n = 17), focus group discussions (n = 14), household surveys (n = 274) and expert-based surveys (n = 10) were carried out, and data was analyzed using the InVEST-based Habitat Risk Assessment (HRA) model, chi-square tests and simple probability of likelihood. Findings showed that the co-management approach has lowered anthropogenic stressors to mangroves in the reserve. Under the co-management approach, all the mangroves located in the Benin side of the reserve are identified as under low risk whereas 42% of the mangrove cover are considered under low risk and 58% under medium risk in Togo. Local perception also portrayed the reduction of mangrove degradation in the study sites following the adoption of the co-management approach in the two countries. However, there are some challenges such as the financial support provision and regular community engagement which need to be thoroughly researched and addressed to achieve the sustainability of the positive impacts of the co-management in the MTBR.
Pesticides monitoring in surface water of a subsistence agricultural catchment in Uganda using passive samplers
Authors: Oltramare Christelle , Weiss Frederik T. , Staudacher Philipp , Kibirango Oscar , Atuhaire Aggrey , Stamm Christian 
Published: September 2022

AbstractPesticides are intensely used in the agricultural sector worldwide including smallholder farming. Poor pesticide use practices in this agronomic setting are well documented and may impair the quality of water resources. However, empirical data on pesticide occurrence in water bodies of tropical smallholder agriculture is scarce. Many available data are focusing on apolar organochlorine compounds which are globally banned. We address this gap by studying the occurrence of a broad range of more modern pesticides in an agricultural watershed in Uganda. During 2.5 months of the rainy season in 2017, three passive sampler systems were deployed at five locations in River Mayanja to collect 14 days of composite samples. Grab samples were taken from drinking water resources. In these samples, 27 compounds out of 265 organic pesticides including 60 transformation products were detected. In the drinking water resources, we detected eight pesticides and two insecticide transformation products in low concentrations between 1 and 50 ng/L. Also, in the small streams and open fetch ponds, detected concentrations were generally low with a few exceptions for the herbicide 2,4-D and the fungicide carbendazim exceeding 1 ug/L. The widespread occurrence of chlorpyrifos posed the largest risk for macroinvertebrates. The extensive detection of this compound and its transformation product 3,4,5-trichloro-2-pyridinol was unexpected and called for a better understanding of the use and fate of this pesticide.
Graphical abstract