bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fatigue assessment of weld seams considering elastic–plastic material behavior using the local strain approach
Authors: Rudorffer Winniefred , Wächter Michael , Esderts Alfons , Dittmann Florian , Varfolomeev Igor 
Published: January 2022

AbstractIn this contribution, the notch strain approach is applied to seam welds including butt welds and filet welds. This allows the fatigue assessment for all regimes of fatigue life, including the low cycle fatigue regime (N > 10). Linear-elastic finite element analyses are used to determine the local stresses. The modeling of the geometry to be assessed is similar to that of the effective notch stress concept. Necessary input values besides linear-elastic stresses are estimated from the hardness of the heat-affected zone. Subsequently, the elastic–plastic stresses and strains are estimated, and a service life calculation is carried out. The used algorithm for the notch strain approach is based on the German FKM-guideline “nonlinear” and includes the influence of stress gradients, highly stressed surfaces, and the influence of surface roughness. Up to now, this FKM-guideline has only been approved for non-welded components. However, this article shows that, with a few modifications, it can also be applied to welds.
Disentangling binge eating disorder and food addiction: a systematic review and meta-analysis
Authors: di Giacomo Ester , Aliberti Francesca , Pescatore Francesca , Santorelli Mario , Pessina Rodolfo , Placenti Valeria , Colmegna Fabrizia , Clerici Massimo 
Published: January 2022

Abstract
Background and aims
The concept of "Food Addiction" has been based on criteria of Substance Use Disorder. Several studies suggested a relationship between food addiction and eating disorders, but little is known about its extent or role.
We aim at exploring if food addiction is coincident with a specific eating disorder (binge eating disorder appears the closest) or it is a separate diagnostic entity that afflicts in comorbidity with eating disorders or other conditions like obesity or even in the general population.

Methods
This systematic review and meta-analysis analyzed observational studies with a comparative estimation on rates of subjects affected by binge eating disorder and food addiction.

Results
Binge eating disorder shows higher comorbidity with food addiction compared to other eating disorders (OR = 1.33, 95% CI, 0.64–2.76; c2 = 4.42; p = 0.44;I2 = 0%), or each eating disorder [anorexia nervosa purging type (OR = 1.93, 95% CI, 0.20–18.92; p = 0.57) and restrictive type (OR = 8.75, 95% CI, 1.08–70.70; p = 0.04)], obese patients (OR = 5.72, 95% CI, 3.25–10.09; p =  < 0.0001) and individuals from the general population (OR = 55.41, 95% CI, 8.16–376.10; c2 = 18.50; p < 0.0001; I2 = 0%)but has decreased prevalence when compared to bulimia nervosa (OR = 0.85, 95% CI, 0.33–2.22; c2 = 0.35; p = 0.74; I2 = 0%).

Discussion and conclusions
Our data show that the prevalence of food addiction in binge eating disorder is higher than in other eating disorders except in bulimia nervosa. Moreover, it is a separate diagnostic reality and can be detected in people without mental illness and in the general population.
Food addiction might have a prognostic value, since in comorbidity, and should be addressed to boost treatment efficacy and patient’s recovery.

Level of evidence
I: Evidence obtained systematic reviews and meta-analyses.
Deep learning model construction for a semi-supervised classification with feature learning
Authors: Mandapati Sridhar , Kadry Seifedine , Kumar R. Lakshmana , Sutham Krongkarn , Thinnukool Orawit 
Published: January 2022

AbstractSeveral deep models were proposed in image processing, data interpretation, speech recognition, and video analysis. Most of these architectures need a massive proportion of training samples and use arbitrary configuration. This paper constructs a deep learning architecture with feature learning. Graph convolution networks (GCNs), semi-supervised learning and graph data representation, have become increasingly popular as cost-effective and efficient methods. Most existing merging node descriptions for node distribution on the graph use stabilised neighbourhood knowledge, typically requiring a significant amount of variables and a high degree of computational complexity. To address these concerns, this research presents DLM-SSC, a unique method semi-supervised node classification tasks that can combine knowledge from multiple neighbourhoods at the same time by integrating high-order convolution and feature learning. This paper employs two function learning techniques for reducing the number of parameters and hidden layers: modified marginal fisher analysis (MMFA) and kernel principal component analysis (KPCA). The MMFA and KPCA weight matrices are modified layer by layer when implementing the DLM, a supervised pretraining technique that doesn't require a lot of information. Free measuring on citation datasets (Citeseer, Pubmed, and Cora) and other data sets demonstrate that the suggested approaches outperform similar algorithms.
Switching to Fully Online Teaching and Learning of Mathematics: The Case of Norwegian Mathematics Lecturers and University Students During the Covid-19 Pandemic
Authors: Radmehr Farzad , Goodchild Simon 
Published: January 2022

AbstractTowards the end of 2019, a novel coronavirus, known as COVID-19, was detected and quickly spread worldwide. The resulting pandemic led many countries to lockdown and teaching and learning switched to fully online provision. This study explores how Norwegian higher education lecturers and students of mathematics experienced online provision following this switch in March 2020 when the national lockdown was imposed. Data are generated and analysed using an exploratory sequential mixed methods approach that first entailed interviews with ten mathematics lecturers and six undergraduate students as the foundation for developing a survey instrument. The instrument was designed to explore further how a larger sample of mathematics lecturers and students perceived their experiences following the switch to online teaching and learning. One hundred and twenty-seven university students from four universities and eighteen mathematics lecturers from seven universities responded to the survey. The data generated indicate that advanced technology and the internet were not entirely successful in supporting many students and lecturers to adjust to the lockdown environment. Additionally, it appears that some mathematics lecturers were not aware of several challenges that students experienced following the switch. This paper aims to increase the awareness of the mathematics education community at the tertiary level about the challenges mathematics lecturers and students experience through online education. Further, it is hoped to prompt collaboration within the community to address these challenges in order to be better equipped for any use of online teaching and learning of mathematics in higher education.
Ethisch geleitete Netzwerkforschung in inklusiven Grundschulklassen: Ein Vergleich zweier Methoden
Authors: Mumenthaler Fabian , Eckhart Michael , Nagel Siegfried 
Published: January 2022

ZusammenfassungSoziometrische Verfahren stoßen häufig auf ethische Bedenken. Sie bedürfen deshalb einer besonderen Legitimierung – insbesondere in der Inklusionsforschung. In dieser Studie wird argumentiert, dass der empirische Nachweis ethisch vertretbarer Instrumente schwierig zu liefern ist, weshalb ethische Aspekte bereits in der Testkonstruktion beachtet werden müssen. Mittels Intrarater-Reliabilität bei 109 und exponential random graph models bei 77 inklusiven Grundschulklassen wird überprüft, ob zwei soziometrische Erhebungsmethoden – eine gängige Freundschaftsnomination und ein ethisch durchdachtes Interaktionsrating (Sozio) – zu ähnlichen Ergebnissen führen. Der Vergleich zeigt, dass sich Freundschafts- und Interaktionsnetzwerke stark gleichen.
Computational and Analytical Bounds for Multivariate Bernoulli Distributions
Authors: Fontana Roberto , Semeraro Patrizia 
Published: January 2022

AbstractBuilding on a new but simple method to characterize multivariate Bernoulli variables with given means, we investigate their dependence structure. We evaluate on some computational examples whether the assumption of exchangeability is binding. This is useful in applications where exchangeability is a standard assumption, such as credit risk.
Urological Cancers in French Overseas Territories: A Population-Based Cancer Registry Pooled Analysis in Martinique, Guadeloupe and French Guiana (2007–2014)
Authors: Deloumeaux Jacqueline , Bhakkan-Mambir Bernard , Desroziers Laure , Plenet Juliette , Peruvien Jessica , Chatignoux Édouard , Belliardo Sophie , Macni Jonathan , Ulric-Gervaise Stephen , Véronique-Baudin Jacqueline , Joachim Clarisse 
Published: January 2022

Abstract
Purpose
Prostate cancer is the most common cancer in the Caribbean. We present world-standardized incidence (WSI) and mortality (WSM) rates for urological cancers for French overseas territories.

Materials and Methods
Standardized incidence ratio (SIR) and standardized mortality ratio (SMR) were calculated for 2008–2014, 2007–2014 and 2010–2014 in Guadeloupe, Martinique and French Guiana.

Results
For prostate cancer, in Guadeloupe and Martinique, the WSI rates are among the highest in the world (173.0 and 164.5 per 100,000 person-years) and 94.4 in French Guiana. Mortality remains more than twice that observed in mainland France, at 23.0 in Guadeloupe and Martinique, and 16.9 in French Guiana.
For bladder cancer, WSI rates were 5.9, 4.9 and 4.1 in men, and 1.9, 1.4 and 1.3 in women, in French Guiana, Guadeloupe and Martinique. WSM rates from bladder varied from 1.5 in French Guiana to 1.8 in Guadeloupe and 2.0 in Martinique in men. In women, it ranges from 0.2 in French Guiana to 0.5 in Guadeloupe and 1.1 in Martinique. Regarding kidney, WSI rates in men are 4.3 in Martinique, 5.2 in Guadeloupe and 6.1 in French Guiana, and 2.3, 2.5 and 3.4, respectively, in women. Mortality rates in men were 1.7 in Guadeloupe, 1.4 in Martinique, and 1.5 in French Guiana, while in women, rates were 0.8 in Guadeloupe and Martinique and 0.6 in French Guiana. All these rates are lower than in mainland France.

Conclusions
Identifying the profile of patients with urological cancers is key to understanding the needs of patients in these regions.
Women have higher levels of CoQ10 than men when supplemented with a single dose of CoQ10 with monoglycerides omega-3 or rice oil and followed for 48 h: a crossover randomised triple blind controlled study
Authors: Beaulieu Sandrine , Vachon Annick , Plourde Mélanie 
Published: January 2022

Abstract
Coenzyme Q10 (CoQ10), a lipid involved in ATP synthesis, exhibits very limited oral absorption, and its endogenous production decreases with ageing and with the occurrence of oxidative stress. Our group previously showed that monoglycerides omega-3 (MAG-OM3) increase OM3 plasma concentrations. Since CoQ10 is liposoluble, we hypothesised that its 48 h pharmacokinetics is higher when provided with MAG-OM3 compared to CoQ10 alone (in powder form) or added to rice oil (a neutral triacylglycerol oil). A randomised triple-blind crossover study was performed with fifteen men and fifteen women consuming the three supplements providing 200 mg of CoQ10 in a random order. Blood samples were collected before (t = 0) and 1, 3, 5, 6, 7, 8, 10, 11, 24 and 48 h after the supplement intake. Plasma total CoQ10 concentrations were analysed on ultrahigh-performance liquid chromatography coupled to a tandem mass spectrometer (UPLC-MS/MS). Participants were 26⋅1 ± 4⋅8 years old. When CoQ10 was provided with rice or MAG-OM3 oils, the 48 h area under the curve (AUC 0–48 h) was approximately two times higher compared to when provided without an oil. The delta max concentration (ΔCmax) of plasma CoQ10 was, respectively, 2 (MAG-OM3) and 2⋅5 (rice oil) times higher compared to CoQ10 alone. There was a significant sex by treatment interaction (P = 0⋅0250) for the AUC 0–6 h supporting that in postprandial, men and women do not respond the same way to the different supplement. Women had a higher CoQ10 concentration 48 h after the single-dose intake compared to men. We conclude that CoQ10 supplements must be provided with lipids, and their kinetics is different between men and women.
Rate of strong convergence to Markov-modulated Brownian motion
Authors: Nguyen Giang T. , Peralta Oscar 
Published: January 2022

AbstractLatouche and Nguyen (2015b) constructed a sequence of stochastic fluid processes and showed that it converges weakly to a Markov-modulated Brownian motion (MMBM). Here, we construct a different sequence of stochastic fluid processes and show that it converges strongly to an MMBM. To the best of our knowledge, this is the first result on strong convergence to a Markov-modulated Brownian motion. Besides implying weak convergence, such a strong approximation constitutes a powerful tool for developing deep results for sophisticated models. Additionally, we prove that the rate of this almost sure convergence is
$o(n^{-1/2} \log n)$
. When reduced to the special case of standard Brownian motion, our convergence rate is an improvement over that obtained by a different approximation in Gorostiza and Griego (1980), which is
$o(n^{-1/2}(\log n)^{5/2})$
.
How a probabilistic analogue of the mean value theorem yields stein-type covariance identities
Authors: Psarrakos Georgios 
Published: January 2022

AbstractA method for the construction of Stein-type covariance identities for a nonnegative continuous random variable is proposed, using a probabilistic analogue of the mean value theorem and weighted distributions. A generalized covariance identity is obtained, and applications focused on actuarial and financial science are provided. Some characterization results for gamma and Pareto distributions are also given. Identities for risk measures which have a covariance representation are obtained; these measures are connected with the Bonferroni, De Vergottini, Gini, and Wang indices. Moreover, under some assumptions, an identity for the variance of a function of a random variable is derived, and its performance is discussed with respect to well-known upper and lower bounds.
Dissection of depression heterogeneity using proteomic clusters
Authors: van Haeringen Marije , Milaneschi Yuri , Lamers Femke , Penninx Brenda W.J.H. , Jansen Rick 
Published: January 2022

AbstractBackgroundThe search for relevant biomarkers of major depressive disorder (MDD) is challenged by heterogeneity; biological alterations may vary in patients expressing different symptom profiles. Moreover, most research considers a limited number of biomarkers, which may not be adequate for tagging complex network-level mechanisms. Here we studied clusters of proteins and examined their relation with MDD and individual depressive symptoms.MethodsThe sample consisted of 1621 subjects from the Netherlands Study of Depression and Anxiety (NESDA). MDD diagnoses were based on DSM-IV criteria and the Inventory of Depressive Symptomatology questionnaire measured endorsement of 30 symptoms. Serum protein levels were detected using a multi-analyte platform (171 analytes, immunoassay, Myriad RBM DiscoveryMAP 250+). Proteomic clusters were computed using weighted correlation network analysis (WGCNA).ResultsSix proteomic clusters were identified, of which one was nominally significantly associated with current MDD (p = 9.62E-03, Bonferroni adj. p = 0.057). This cluster contained 21 analytes and was enriched with pathways involved in inflammation and metabolism [including C-reactive protein (CRP), leptin and insulin]. At the individual symptom level, this proteomic cluster was associated with ten symptoms, among which were five atypical, energy-related symptoms. After correcting for several health and lifestyle covariates, hypersomnia, increased appetite, panic and weight gain remained significantly associated with the cluster.ConclusionsOur findings support the idea that alterations in a network of proteins involved in inflammatory and metabolic processes are present in MDD, but these alterations map predominantly to clinical symptoms reflecting an imbalance between energy intake and expenditure.
Sensory processing sensitivity behavior moderates the association between environmental harshness, unpredictability, and child socioemotional functioning
Authors: Li Zhi , Sturge-Apple Melissa L. , Jones-Gordils Hannah R. , Davies Patrick T. 
Published: January 2022

AbstractBuilding on Ellis et al.’s theorization for potent dimensions of environmental adversity, the present work sought to evaluate how environmental harshness and unpredictability might function directly and in interaction with child sensory processing sensitivity (SPS) to shape the development of child socioemotional functioning. Participants were 235 young children (Mage = 2.97 at the first measurement occasion) and their parents, who were followed for two consecutive annual measurement occasions. Child SPS was measured through behavioral observation across multiple tasks within the laboratory setting. Greater environmental unpredictability was significantly associated with the development of children’s externalizing problems over a year only for children with high SPS. Follow-up analyses indicated that the unpredictability-x-SPS interaction was consistent with differential susceptibility, such that high SPS children showed greater increases in externalizing problems under high unpredictability, but also lower increases/greater decreases in externalizing problems under low unpredictability. Such association did not apply to children with low SPS.
Perceptions of childhood unpredictability, delay discounting, risk-taking, and adult externalizing behaviors: A life-history approach
Authors: Martinez Jose L. , Hasty Connor , Morabito Danielle , Maranges Heather M. , Schmidt Norman B. , Maner Jon K. 
Published: January 2022

AbstractGuided by principles from life-history theory, theories of adaptive calibration provide an overarching theoretical framework for understanding the developmental roots of impulsivity and externalizing psychopathology. The current research provides evidence for robust associations between perceptions of childhood unpredictability, delay discounting (Studies 1a and 1b), and adult externalizing traits and behaviors (Study 2). Both associations were observed while controlling for perceptions of the harshness of childhood environments, as well as a range of demographic characteristics. The association with externalizing traits and behavior was observed over and above current mood and depressive symptoms. Study 2 also replicated a previously documented association between changes in maternal employment, residence, and cohabitation during childhood and externalizing behavior and, furthermore, suggested that this association was mediated by perceptions of unpredictability. These studies provided no evidence for links between perceived childhood unpredictability and basic forms of risk-taking (Studies 1a and 1c). This research adds to a growing body of work leveraging principles from life-history theory to demonstrate links between childhood experiences, impulsivity, and potentially debilitating forms of mental illness. This work also highlights the value of assessing people’s perceptions of their childhood environments.
The Naming Assessment in Multicultural Europe (NAME): Development and Validation in a Multicultural Memory Clinic
Authors: Franzen S. , van den Berg E. , Ayhan Y. , Satoer D.D. , Türkoğlu Ö. , Genç Akpulat G.E. , Visch-Brink E.G. , Scheffers E.A. , Kranenburg J. , Jiskoot L.C. , van Hemmen J. , Papma J.M. 
Published: January 2022

AbstractObjective:Traditional naming tests are unsuitable to assess naming impairment in diverse populations, given the influence of culture, language, and education on naming performance. Our goal was therefore to develop and validate a new test to assess naming impairment in diverse populations: the Naming Assessment in Multicultural Europe (NAME).Method:We carried out a multistage pilot study. First, we generated a list of 149 potentially suitable items – e.g. from published cross-linguistic word lists and other naming tests – and selected those with a homogeneous age of acquisition and word frequency across languages. We selected three to four colored photographs for each of the 73 remaining items; 194 controls selected the most suitable photographs. Thirteen items were removed after a pilot study in 15 diverse healthy controls. The final 60-item test was validated in 39 controls and 137 diverse memory clinic patients with subjective cognitive impairment, neurological/neurodegenerative disease or psychiatric disorders in the Netherlands and Turkey (mean age: 67, SD: 11). Patients were from 15 different countries; the majority completed primary education or less (53%).Results:The NAME showed excellent reliability (Spearman–Brown coefficient: 0.95; Kuder–Richardson coefficient: 0.94) and robust correlations with other language tests (ρ= .35–.73). Patients with AD/mixed dementia obtained lower scores on most (48/60) NAME items, with an area under the curve of 0.88. NAME scores were correlated with age and education, but not with acculturation or sex.Conclusions:The NAME is a promising tool to assess naming impairment in culturally, educationally, and linguistically diverse individuals.
Short sleep and social jetlag are associated with higher intakes of non-milk extrinsic sugars, and social jetlag is associated with lower fibre intakes in those with adequate sleep duration: a cross-sectional analysis from the National Diet and Nutrition Survey Rolling Programme (Years 1–9)
Authors: Al Khatib Haya , Dikariyanto Vita , Bermingham Kate M , Gibson Rachel , Hall Wendy L 
Published: January 2022

AbstractObjective:To investigate associations and interactions between sleep duration and social jetlag status with nutrient intake, nutrient status, body composition and cardio-metabolic risk factors in a nationally representative UK adult population.Design:A cross-sectional study using 4-d food diary and self-reported sleep data from the UK National Diet and Nutrition Survey Rolling Programme 2008–2017.Setting:UK free-living population.Subjects:Totally, 5015 adults aged 19–64 years.Results:Thirty-four per cent were short sleepers (< 7 h); 7 % slept ≥ 9 h; 14 % had > 2 h difference in average sleep duration between weeknights and weekend nights (social jetlag). Compared to those reporting optimal sleep duration (≥ 7–< 9 h), short sleep was associated with higher intakes of non-milk extrinsic sugars (NMES) (0·9 % energy, 95 % CI: 0·4, 1·4), total carbohydrate (0·8 % energy, 95 % CI: 0·2, 1·4) and a lower non-starch polysaccharides fibre intake (–0·5 g/d, 95 % CI –0·8, –0·2). There was a significant interaction between short sleep and social jetlag for fibre intakes, where adequate sleepers with social jetlag as well as all short sleepers (regardless of social jetlag) had lower fibre intakes than adequate sleepers with no social jetlag. Short sleep, but not social jetlag, was associated with greater adiposity, but there were no differences in other markers of cardiometabolic disease risk.Conclusions:The present study reports that both short sleep and social jetlag are associated with higher intakes of NMES, but only sleep duration is associated with markers of adiposity. Social jetlag was associated with lower fibre intakes even in individuals with adequate weekly sleep duration, suggesting catch-up sleep does not prevent the adverse impact of irregular sleep habits on food choices.