bluuebunny/crossref_metadata_2025_split huggingface dataset:
Politische Professionalisierung: Deutungs- und Beratungsangebote für die Vergabepraxis
Authors: Jaehrling Karen , Stiehm Christin 
Published: August 2022

ZusammenfassungNeben der Reform von Gesetzen und Verordnungen ist auch die Ausdeutung von formalen Normen ein politisches Feld, auf dem unterschiedliche Akteure und Interessen um Einfluss ringen. Dies gilt auch für das breite Spektrum an nicht verbindlichen Informations- und Beratungsangeboten, wie die formalen Regeln in der Praxis implementiert werden können. Diese Deutungsangebote wurden auch im Gefolge der Doppelbewegung von Vermarktlichung und Sozialpolitisierung stark ausgebaut. Sie richten sich mit dem Anspruch an die Vergabepraxis, diese zu professionalisieren und so bei der Bewältigung der gestiegenen (und diversen) Ansprüche an die öffentliche Auftragsvergabe zu unterstützen. Berufsverbände der Vergabefachkräfte selbst spielen dabei keine so zentrale Rolle wie im Falle der klassischen Professionen des Gesundheits- und Sozialwesens. Vielmehr werden die professionellen Standards von einer Vielzahl auch ex-terner Akteure mitentwickelt, die mit unterschiedlichen Interessen und politischer Stoßrichtung den Vergabepraktiker*innen ihre Expertise in Form von Leitbildern, Beratungen, Wissenssammlungen und Standards einer ‚guten‘ Auftragsvergabe andienen. Ihre Aktivitäten lassen sich daher als 'politische Professionalisierung' bezeichnen
Preoperative joint line convergence angle correction is a key factor in optimising accuracy in varus knee correction osteotomy
Authors: Behrendt P. , Akoto R. , Bartels I. , Thürig G. , Fahlbusch H. , Korthaus A. , Dalos D. , Hoffmann M. , Frosch K.-H. , Krause M. 
Published: August 2022

Abstract
Purpose
This study aimed to identify and prevent preoperative factors that can be influenced in preoperative planning to reduce postoperative malcorrections.

Methods
The method used in this study was a retrospective two-centre analysis of 78 pre and postoperative fully weight-bearing radiographs of patients who underwent valgus osteotomy correction due to symptomatic medial compartment osteoarthritis. A computer software (TraumaCad®) was used to aim for an intersection point of the mechanical tibiofemoral axis (mTFA) with the tibia plateau at 55–60% (medial = 0%, lateral = 100%). Postoperative divergence ± 5% of this point was defined as over- and undercorrection. Preoperative joint geometry factors were correlated with postoperative malcorrection. Planning was conducted using the established method described by Miniaci (Group A) and with additional correction of the joint line convergence angle (JLCA) using the formula JLCA-2/2 (Group B). Additionally, in a small clinical case series, planning was conducted with JLCA correction. Statistical analysis was performed using (multiple) linear regression analysis and analysis of variance (ANOVA) with p < 0.05 considered significant.

Results
In 78 analysed cases, postoperative malcorrection was detected in 37.2% (5.1% undercorrection, 32.1% overcorrection). Linear regression analysis revealed preoperative body mass index (BMI, p = 0.04), JLCA (p = 0.0001), and osteotomy level divergence (p = 0.0005) as factors correlated with overcorrection. In a multiple regression analysis, JLCA and osteotomy level divergence remained significant factors. Preoperative JLCA correction reduced the planned osteotomy gap (A 9.7 ± 2.8 mm vs B 8.3 ± 2.4 mm; p > 0.05) and postoperative medial proximal tibial angle (MPTA: A 94.3 ± 2.1° vs B 92.3 ± 1.5°; p < .05) in patients with preoperative JLCA ≥ 4°. The results were validated using a virtual postoperative correction of cases with overcorrection. A case series (n = 8) with a preoperative JLCA > 4 revealed a postoperative accuracy using the JLCA correction of 3.4 ± 1.9%.

Conclusion
Preoperative JLCA ≥ 4° and tibial osteotomy level divergence were identified as risk factors for postoperative overcorrection. Preoperative JLCA correction using the formula JLCA-2/2 is proposed to better control ideal postoperative correction and reduce MPTA. The intraoperatively realised osteotomy level should be precisely in accordance with preoperative planning.

Level of evidence
III, cross-sectional study.
Quantile regression version of Hodrick–Prescott filter
Authors: Yamada Hiroshi 
Published: August 2022

AbstractHodrick–Prescott (HP) filter is a popular trend filtering method for univariate macroeconomic time series such as real gross domestic product. This paper considers the quantile regression version of HP filter (qHP filter), which is a filtering method defined by replacing quadratic loss function of HP filter with quantile regression loss function. One of the essential properties of quantile regression is that if the regression includes intercept, then the ratio of negative residuals can be almost controlled. Does the suggested qHP filter also have the property? This paper answers this question. In addition to the main result, we provide an empirical illustration.
Marcinkiewicz-Zygmund inequalities for polynomials in Fock space
Authors: Gröchenig Karlheinz , Ortega-Cerdà Joaquim 
Published: August 2022

AbstractWe study the relation between Marcinkiewicz-Zygmund families for polynomials in a weighted$$L^2$$L2-space and sampling theorems for entire functions in the Fock space and the dual relation between uniform interpolating families for polynomials and interpolating sequences. As a consequence we obtain a description of signal subspaces spanned by Hermite functions by means of Gabor frames.
Full description of Benjamin-Feir instability of stokes waves in deep water
Authors: Berti Massimiliano , Maspero Alberto , Ventura Paolo 
Published: August 2022

AbstractSmall-amplitude, traveling, space periodic solutions –called Stokes waves– of the 2 dimensional gravity water waves equations in deep water are linearly unstable with respect to long-wave perturbations, as predicted by Benjamin and Feir in 1967. We completely describe the behavior of the four eigenvalues close to zero of the linearized equations at the Stokes wave, as the Floquet exponent is turned on. We prove in particular the conjecture that a pair of non-purely imaginary eigenvalues depicts a closed figure “8”, parameterized by the Floquet exponent, in full agreement with numerical simulations. Our new spectral approach to the Benjamin-Feir instability phenomenon uses a symplectic version of Kato’s theory of similarity transformation to reduce the problem to determine the eigenvalues of a $$ 4 \times 4 $$

4
×
4

complex Hamiltonian and reversible matrix. Applying a procedure inspired by KAM theory, we block-diagonalize such matrix into a pair of $$2 \times 2 $$

2
×
2

Hamiltonian and reversible matrices, thus obtaining the full description of its eigenvalues.
In-line measurement of absorbed solar irradiance using a volumetric collector with SWCNH nanofluid
Authors: Berto Arianna , Zanetti Emanuele , Ponzana Giovanni , Meneghetti Moreno , Del Col Davide 
Published: August 2022

AbstractDirect absorption solar collectors operating with nanofluids represent a promising technology in the field of solar thermal systems. However, the stability and the reliability of such fluids in real time operation is still an open issue, since their absorption performance has been mainly evaluated at lab-scale under stagnant conditions and their optical properties can be subject to degradation due to multiple reasons. A novel technique based on the combined use of pyranometers is here presented for measuring the absorption rate of nanofluids circulating in a volumetric solar receiver. In the present work, the absorption capability of a Single-Wall-Carbon-NanoHorns (SWCNHs) based nanofluid is experimentally investigated when varying temperature (between 25 °C and 45 °C) and mass flow rate (between 5 kg h−1 and 315 kg h−1). The optical efficiency of the nanofluid is found to be slightly affected by the temperature of the circulating fluid. The optical efficiency is checked for more than 80 hours of operation.
From collocations to call-ocations: using linguistic methods to quantify animal call combinations
Authors: Bosshard Alexandra B. , Leroux Maël , Lester Nicholas A. , Bickel Balthasar , Stoll Sabine , Townsend Simon W. 
Published: August 2022

AbstractEmerging data in a range of non-human animal species have highlighted a latent ability to combine certain pre-existing calls together into larger structures. Currently, however, the quantification of context-specific call combinations has received less attention. This is problematic because animal calls can co-occur with one another simply through chance alone. One common approach applied in language sciences to identify recurrent word combinations is collocation analysis. Through comparing the co-occurrence of two words with how each word combines with other words within a corpus, collocation analysis can highlight above chance, two-word combinations. Here, we demonstrate how this approach can also be applied to non-human animal signal sequences by implementing it on artificially generated data sets of call combinations. We argue collocation analysis represents a promising tool for identifying non-random, communicatively relevant call combinations and, more generally, signal sequences, in animals.Significance statementAssessing the propensity for animals to combine calls provides important comparative insights into the complexity of animal vocal systems and the selective pressures such systems have been exposed to. Currently, however, the objective quantification of context-specific call combinations has received less attention. Here we introduce an approach commonly applied in corpus linguistics, namely collocation analysis, and show how this method can be put to use for identifying call combinations more systematically. Through implementing the same objective method, so-called call-ocations, we hope researchers will be able to make more meaningful comparisons regarding animal signal sequencing abilities both within and across systems.
Factors Contributing to and Reducing Delays in the Provision of Adequate Care in Ghana: A Qualitative Study of Trauma Care Providers
Authors: Mesic Aldina , Gyedu Adam , Mehta Kajal , Goodman Stephanie K. , Mock Charles , Quansah Robert , Donkor Peter , Stewart Barclay 
Published: August 2022

AbstractBackgroundGhana has a large and growing burden of injury morbidity and mortality. There is a substantial unmet need for trauma surgery, highlighting a need to understand gaps in care.MethodsWe conducted 8 in‐depth interviews with trauma care providers (surgeons, nurses, and specialists) at a large teaching hospital to understand factors that contribute to and reduce delays in the provision of adequate trauma care for severely injured patients. The study aimed to understand whether providers thought factors differed between patients that were enrolled in the National Health Insurance Scheme (NHIS) and those that were not. Findings were presented for the third delay (provision of appropriate care) in the Three Delays Framework.ResultsKey findings included that most factors contributing delays in the provision of adequate care were related to the costs of care, including for diagnostics, medications, and treatment for patients with and without NHIS subscription. Other notable factors included conflicts between providers, resource constraints, and poor coordination of care at the facility. Factors which reduce delays included advocacy by providers and informal processes for prioritizing critical injuries.
ConclusionWe recommend facility‐level changes including increasing equity in access to trauma and elective surgery through targeted system strengthening efforts (e.g., a scheduled back‐up call system for surgeons, anesthetists, other specialists, and nurses; designated operating theatres and staff for emergencies; training of staff), policy changes to simplify the insurance renewal and subscription processes, and future research on the costs and benefits of including diagnostics, medications, and common trauma services into the NHIS benefits package.
Wide mutational analysis to ascertain the functional roles of eL33 in ribosome biogenesis and translation initiation
Authors: Martín-Marcos Pilar , Gil-Hernández Álvaro , Tamame Mercedes 
Published: August 2022

AbstractAn extensive mutational analysis of RPL33A, encoding the yeast ribosomal protein L33A (eL33) allowed us to identify several novel rpl33a mutants with different translational phenotypes. Most of the rpl33a mutants are defective in the processing of 35S and 27S pre-rRNA precursors and the production of mature rRNAs, exhibiting reductions in the amounts of ribosomal subunits and altered polysome profiles. Some of the rpl33a mutants exhibit a Gcd− phenotype of constitutive derepression of GCN4 translation and strong slow growth phenotypes at several temperatures. Interestingly, some of the later mutants also show a detectable increase in the UUG/AUG translation initiation ratio that can be suppressed by eIF1 overexpression, suggesting a requirement for eL33 and a correct 60S/40S subunit ratio for the proper recognition of the AUG start codon. In addition to producing differential reductions in the rates of pre-rRNA maturation and perhaps in r-protein assembly, most of the point rpl33a mutations alter specific molecular interactions of eL33 with the rRNAs and other r-proteins in the 60S structure. Thus, rpl33a mutations cause distinctive effects on the abundance and/or functionality of 60S subunits, leading to more or less pronounced defects in the rates and fidelity of mRNA translation.
Decadal trends in surface solar radiation and cloud cover over the North Atlantic sector during the last four decades: drivers and physical processes
Authors: Dong Buwen , Sutton Rowan T. , Wilcox Laura J. 
Published: August 2022

AbstractSatellite-derived products and reanalyses show consistent increases in downward surface solar radiation (SSR) and decreases in cloud cover over North America and Europe from the 1980s to 2010s. These trends show a strong seasonality, with the largest changes in boreal summer. A set of timeslice experiments with an atmospheric general circulation model (AGCM) forced with prescribed changes in sea surface temperature/sea ice extent (SST/SIE), greenhouse gas (GHG) concentrations, and anthropogenic aerosol (AA) emissions, together and separately, is performed to assess the relative roles of different forcings in these observed trends. The model reproduces the main observed features over Europe and North America, including the seasonality of trends, suggesting a dominant role of forced changes in the recent trends in SSR and cloud cover. Responses to individual forcings indicate that recent decadal trends in SSR over Europe are predominantly driven by AA emission reductions, with an additional influence from SST/SIE and GHG changes. In contrast, changes in AA, SST/SIE, and GHG contribute more equally to simulated decadal trends in SSR and cloud cover over North America, although SST/SIE play the most important role. In our simulations, responses of SSR to AA emission reductions are primarily governed by aerosol-radiation interactions. Responses to SST/SIE and GHG changes are predominantly due to cloud cover changes, which are driven by atmospheric circulation and humidity changes. This process level understanding of how different forcing factors influence decadal trends in SSR and cloud cover is valuable for understanding past changes and future projections in global and regional surface energy budgets, surface warming, and global and regional hydrological cycles.
A perfect model study on the reliability of the added small-scale information in regional climate change projections
Authors: Lenderink Geert , de Vries Hylke , van Meijgaard Erik , van der Wiel Karin , Selten Frank 
Published: August 2022

AbstractThe issue of the added value (AV) of high resolution regional climate models is complex and still strongly debated. Here, we approach AV in a perfect model framework within a 16-member single model initial condition ensemble with the regional climate model RACMO2 embedded in the global climate model EC-Earth2.3. In addition, we also used an ensemble produced by a pseudo global warming (PGW) approach. Results for winter temperature and precipitation are investigated from two different perspectives: (1) a signal-to-noise perspective analysing the systematic response to changing emission forcings versus internal climate variability, and (2) a prediction perspective aimed at predicting a 30-year future climate state. Systematic changes in winter temperature and precipitation contain fine-scale response patterns, but in particular for precipitation these patterns are small compared to internal variability. Therefore, single members of the ensemble provide only limited information on these systematic patterns. However, they can be estimated more reliably from PGW members because of the stronger constraints on internal variability. From the prediction perspective, we analysed AV of fine-scale information by comparing three prediction pairs. This analysis shows that there is AV in the fine-scale information for temperature, yet for precipitation adding fine-scale changes generally deteriorates the predictions. Using only the large-scale change (without fine scales) from a single ensemble member as a delta change on top of the present-day climate state, already provides a robust estimate of the future climate state and therefore can be used as a simple benchmark to measure added value.
Incidence and clinical outcome of primary carcinomas of the major salivary glands: 10-year data from a population-based state cancer registry in Germany
Authors: Nachtsheim Lisa , Mayer M. , Meyer M. F. , Oesterling F. , Kajueter H. , Arolt C. , Quaas A. , Klussmann J. P. , Wolber P. 
Published: August 2022

Abstract
Purpose
The aim of this project was to provide an overview of the epidemiology of primary salivary gland carcinomas (SGC) in terms of incidence, distribution of clinicopathological features and survival in one of the largest cancer registries in Europe.

Methods
Data were collected from patients with SGC of the major salivary glands registered in the population-based state cancer registry (Landeskrebsregister LKR) in North Rhine-Westphalia (NRW), Germany from 01/01/2009 to 12/31/2018. Age standardization of incidence was performed and relative survival estimates were computed by sex, histological group, age group and T-, N-, and M-stage.

Results
A total of 1680 patients were included in this analysis. The most frequent tumor localization was the parotid gland (78%). Adenocarcinoma (not otherwise specified) was the most common tumor entity (18.5%). Most tumors were found in stages T1–T3 (29% T1; 29% T2; 28% T3). The age-standardized incidence rate (ASR) for SGC was 0.65/100,000 and remained stable during the observation period. There was an age-dependent incidence increasing especially from the age 70 years and onwards. The overall 5-year relative survival (RS) for all patients with SGC was 69.2%. RS was 80–95.6% for T1–2 stage tumors, 60.3% for T3, 47.3% for T4 stage, 87.4% for N0 and 51.2% for N1–2, 74.4% for M0 and 44.9% for M1.

Conclusion
Age-standardized incidence for SGC has been stable for the observed 10-year period. Smaller tumors and those without lymph node or distant metastases had a better RS than more advanced tumors.
Edge Exploration of Temporal Graphs
Authors: Bumpus Benjamin Merlin , Meeks Kitty 
Published: August 2022

AbstractWe introduce a natural temporal analogue of Eulerian circuits and prove that, in contrast to the static case, it is$${\textsc {NP}}$$NP-hard to determine whether a given temporal graph is temporally Eulerian even if strong restrictions are placed on the structure of the underlying graph and each edge is active at only three times. However, we do obtain an$${\textsc {FPT}}$$FPT-algorithm with respect to a new parameter calledinterval-membership-widthwhich restricts the times assigned to different edges; we believe that this parameter will be of independent interest for other temporal graph problems. Our techniques also allow us to resolve two open questions of Akrida, Mertzios and Spirakis [CIAC 2019] concerning a related problem of exploring temporal stars.
Feminist contributions on sexual experiences of women with serious mental illness: a literature review
Authors: Grachev Kira , Santoro Lamelas Valeria , Gresle Anne-Sophie , de la Torre Leonardo , Pinazo Maria-Jesus ,   on behalf of the InSPIRES Consortium
Published: August 2022

Abstract
This paper aims to explore the contributions of research that include gender perspective in analysing the sexual experiences of women diagnosed with serious mental illness and to identify any barriers and systems that impede sexual fulfilment. We have developed a qualitative literature review using the PRISMA statement. The databases SCOPUS, WOS and PsychINFO were used in this review. Studies were included if they were published up to March 15, 2022, and only studies in English were included. An initial database search was preformed; upon screening for eligibility, there remained 16 studies that explored the sexual experiences of women with diagnoses of serious mental illness. The studies were analysed by a thematic synthesis. Data was coded line-by-line which generated descriptive themes, resulting in four synthesised findings. The four synthesised findings that derived from the reviewed studies were stigma and subjectivity, the experience of interpersonal relationships, the socialisation of women and the effects of psychiatric hegemony. A feminist perspective highlights the interrelationship between gender and stigma as it relates to serious mental illness and sexuality. A feminist perspective and an intersectional approach should be adopted at the intersubjective and structural level to account for the complexity of human experience and to subvert the heteropatriarchal system.
Dependency-based security risk assessment for cyber-physical systems
Authors: Akbarzadeh Aida , Katsikas Sokratis K. 
Published: August 2022

AbstractA cyber-physical attack is a security breach in cyber space that impacts on the physical environment. The number and diversity of such attacks against Cyber-Physical Systems (CPSs) are increasing at impressive rates. In times of Industry 4.0 and Cyber-Physical Systems, providing security against cyber-physical attacks is a serious challenge which calls for cybersecurity risk assessment methods capable of investigating the tight interactions and interdependencies between the cyber and the physical components in such systems. However, existing risk assessment methods do not consider this specific characteristic of CPSs. In this paper, we propose a dependency-based, domain-agnostic cybersecurity risk assessment method that leverages a model of the CPS under study that captures dependencies among the system components. The proposed method identifies possible attack paths against critical components of a CPS by taking an attacker’s viewpoint and prioritizes these paths according to their risk to materialize, thus allowing the defenders to define efficient security controls. We illustrate the workings of the proposed method by applying it to a case study of a CPS in the energy domain, and we highlight the advantages that the proposed method offers when used to assess cybersecurity risks in CPSs.