bluuebunny/crossref_metadata_2025_split huggingface dataset:
JAGGED1 Stimulates Cranial Neural Crest Cell Osteoblast Commitment Pathways and Bone Regeneration Independent of Canonical NOTCH Signaling
Authors: Kamalakar Archana , McKinney Jay M. , Duron Daniel Salinas , Amanso Angelica M. , Ballestas Samir A. , Drissi Hicham M. , Willett Nick J. , Bhattaram Pallavi , García Andrés J. , Wood Levi B. , Goudy Steven L. 
Published: June 2020

AbstractCraniofacial bone loss is a complex clinical problem with limited regenerative solutions. Currently, BMP2 is used as a bone-regenerative therapy in adults, but in pediatric cases of bone loss, it is not FDA-approved due to concerns of life-threatening inflammation and cancer. Development of a bone-regenerative therapy for children will transform our ability to reduce the morbidity associated with current autologous bone grafting techniques. We discovered that JAGGED1 (JAG1) induces cranial neural crest (CNC) cell osteoblast commitment during craniofacial intramembranous ossification, suggesting that exogenous JAG1 delivery is a potential craniofacial bone-regenerative approach. In this study, we found that JAG1 delivery using synthetic hydrogels containing O9-1 cells, a CNC cell line, into critical-sized calvarial defects in C57BL/6 mice provided robust bone-regeneration. Since JAG1 signals through canonical (Hes1/Hey1) and non-canonical (JAK2) NOTCH pathways in CNC cells, we used RNAseq to analyze transcriptional pathways activated in CNC cells treated with JAG1±DAPT, a NOTCH-canonical pathway inhibitor. JAG1 upregulated expression of multiple NOTCH canonical pathway genes (Hes1), which were downregulated in the presence of DAPT. JAG1 also induced bone chemokines (Cxcl1), regulators of cytoskeletal organization and cell migration (Rhou), signaling targets (STAT5), promoters of early osteoblast cell proliferation (Prl2c2, Smurf1andEsrra), and, inhibitors of osteoclasts (Id1). In the presence of DAPT, expression levels ofHes1andCxcl1were decreased, whereas,Prl2c2, Smurf1, Esrra, RhouandId1remain elevated, suggesting that JAG1 induces osteoblast proliferation through these non-canonical genes. Pathway analysis of JAG1+DAPT-treated CNC cells revealed significant upregulation of multiple non-canonical pathways, including the cell cycle, tubulin pathway, regulators ofRunx2initiation and phosphorylation of STAT5 pathway. In total, our data show that JAG1 upregulates multiple pathways involved in osteogenesis, independent of the NOTCH canonical pathway. Moreover, our findings suggest that JAG1 delivery using a synthetic hydrogel, is a bone-regenerative approach with powerful translational potential.
Variability of dynamic patterns of cortical excitability in schizophrenia: A test-retest TMS-EEG study
Authors: Naim-Feil Jodie , Peled Abraham , Freche Dominik , Hess Shmuel , Grinshpoon Alexander , Levit-Binnun Nava , Moses Elisha 
Published: June 2020

AbstractBackgroundAltered stimuli processing is a key feature of schizophrenia. Application of concurrent transcranial magnetic stimulation (TMS) with electroencephalography (TMS-EEG) is an effective stimulus which allows direct measurement of the cortical response within a millisecond time resolution. Test-retest TMS-EEG studies present evidence of high reproducibility in healthy controls (HC), however, this stability of response has not been examined in schizophrenia.ObjectiveThe current study maps TMS-evoked patterns of cortical excitability in schizophrenia and examine whether these cortical patterns are amenable to change as symptoms of schizophrenia improve.MethodsOne hundred single-pulse TMS and 100 sham pulses were applied to frontal regions of 19 schizophrenia in-patients and 26 HC while electroencephalography data were simultaneously acquired. Medication and schizophrenia symptoms were reported. This protocol was repeated across three sessions (1 week apart) for each participant. The TMS-evoked cortical response of each participant was averaged and compared between groups.ResultsSchizophrenia patients showed reduced cortical excitability at early time-windows and increased excitability at later time-windows. Increased excitability at later windows was associated with heightened symptom severity. Schizophrenia patients showed an increased variability in cortical response over sessions relative to HC. Increased change in cortical response from session 1 to session 3 correlated with symptom improvement.ConclusionsSchizophrenia patients presented with abnormal patterns of cortical excitability when processing TMS stimuli. These dynamic patterns of cortical response were amenable to change as symptoms of schizophrenia improved. Further research into electrophysiological biomarkers of symptom improvement is hoped to improve current diagnosis and treatment models of schizophrenia.
Validation of questionnaires and rating scales used in medicine: Protocol for a systematic review of burnout self-reported measures
Authors: Marca Sandy Carla , Paatz Paola , Györkös Christina , Cuneo Félix , Bugge Merete Drevvatne , Godderis Lode , Bianchi Renzo , Canu Irina Guseva 
Published: June 2020

AbstractBackgroundIn the era of evidence-based medicine, decision-making about treatment of individual patients involves conscious, specific, and reasonable use of modern, best evidences. Diagnostic tests are usually obeying to the well-established quality standards of reproducibility and validity. Conversely, it could be tedious to assess the validation studies of tests used for diagnosis of mental and behavioral disorders. This work aims at establishing a methodological reference framework for the validation process of diagnostic tools for mental disorders. We implemented this framework as part of the protocol for the systematic review of burnout self-reported measures. The objectives of this systematic review are (a) to assess the validation processes used in each of the selected burnout measures, and (b) to grade the evidence of the validity and psychometric quality of each burnout measure. The optimum goal is to select the most valid measure(s) for use in medical practice and epidemiological research.MethodsThe review will consist in systematic searches in MEDLINE, PsycINFO, and EMBASE databases. Two independent authors will screen the references in two phases. The first phase will be the title and abstract screening, and the second phase the full-text reading. There will be 4 inclusion criteria for the studies. Studies will have to (a) address the psychometric properties of at least one of the eight validated burnout measures (b) in their original language (c) with sample(s) of working adults (18 to 65 years old) (d) greater than 100. We will assess the risk of bias of each study using the Consensus-based Standards for the selection of health Measurement Instruments checklist. The outcomes of interest will be the face validity, response validity, internal structure validity, convergent validity, discriminant validity, predictive validity, internal consistency, test-retest reliability, and alternate form reliability, enabling assessing the psychometric properties used to validate the eight concerned burnout measures. We will examine the outcomes using the reference framework for validating measures of mental disorders. Results will be synthetized descriptively and, if there is enough homogenous data, using a meta-analysis.Ethics and disseminationWe will publish this review in a peer-reviewed journal. A report will be prepared for the health practitioners and scientists and disseminated through the Network on the Coordination and Harmonization of European Occupational Cohorts (https://www.cost.eu/actions/CA16216,http://omeganetcohorts.eu/) and the Network of scientists from Swiss universities working in different areas of stress (https://www.stressnetwork.ch/).PROSPERO registration numberCRD42019124621
Early prediction of liver disease using conventional risk factors and gut microbiome-augmented gradient boosting
Authors: Liu Yang , Meric Guillaume , Havulinna Aki S. , Teo Shu Mei , Ruuskanen Matti , Sanders Jon , Zhu Qiyun , Tripathi Anupriya , Verspoor Karin , Cheng Susan , Jain Mo , Jousilahti Pekka , Vazquez-Baeza Yoshiki , Loomba Rohit , Lahti Leo , Niiranen Teemu , Salomaa Veikko , Knight Rob , Inouye Michael 
Published: June 2020

ABSTRACTGut microbiome sequencing has shown promise as a predictive biomarker for a wide range of diseases, including classification of liver disease and severity grading. However, the potential of gut microbiota for prospective risk prediction of liver disease has not been assessed. Here, we utilise shallow gut metagenomic sequencing data of a large population-based cohort (N=>7,115) and ∼15 years of electronic health register follow-up together with machine-learning to investigate the predictive capacity of gut microbial predictors, individually and in conjunction with conventional risk factors, for incident liver disease and alcoholic liver disease. Separately, conventional and microbiome risk factors showed comparable predictive capacity for incident liver disease. However, microbiome augmentation of conventional risk factor models using gradient boosted classifiers significantly improved performance, with average AUROCs of 0.834 for incident liver disease and 0.956 for alcoholic liver disease (AUPRCs of 0.185 and 0.304, respectively). Disease-free survival analysis showed significantly improved stratification using microbiome-augmented risk models as compared to conventional risk factors alone. Investigation of predictive microbial signatures revealed a wide range of bacterial taxa, including those previously associated with hepatic function and disease. This study supports the potential clinical validity of gut metagenomic sequencing to complement conventional risk factors for risk prediction of liver diseases.
Psychological distress across adulthood: scale-equating in three British birth cohorts
Authors: Jongsma Hannah E. , Moulton Vanessa G. , Ploubidis George B. , Gilbert Emily , Richards Marcus , Patalay Praveetha 
Published: June 2020

AbstractValid and reliable life-course and cross-cohort comparisons of psychological distress are limited by differences in measures used. We aimed to examine adulthood distribution of symptoms and cross-cohort trends by scale-equating psychological distress measures administered in the 1946, 1958 and 1970 British birth cohorts. We used data from these three birth cohorts (N=32,242) and an independently recruited calibration sample (n=5,800) to inform the scale-equating. We used two approaches to scale-equating (equipercentile linking and multiple imputation) and two index-measures (General Health Questionnaire [GHQ]-12 and Malaise-9) to compare means, distributions and prevalence of distress across adulthood. While we consistently observed an inverse U-shape of distress across adulthood, we also observed measure and method differences in point estimates, particularly for cross-cohort comparisons. Sensitivity analysis suggested that multiple imputation yielded more accurate estimates than equipercentile linking. Though we observed an inverse-U shaped trajectory of psychological distress across adulthood, differences in point estimates between measures and methods did not allow for clear conclusions regarding between-cohort trends.
Liberté, Egalité, Fraternité… Contaminé? Estimating the impact of French municipal elections on COVID-19 spread in France
Authors: Cassan Guilhem , Sangnier Marc 
Published: June 2020

AbstractOn March 15, about 20, 000, 000 voters cast their vote for the first round of the 2020 French municipal elections. We investigate the extent to which this event contributed to the COVID-19 epidemics in France. To this end, we first predict each département’s own dynamics using information up to the election to calibrate a standard logistic model. We then take advantage of electoral turnout differences between départements to distinguish the impact of the election on prediction errors in hospitalizations from that of simultaneously implemented anti-contagion policies. We report a detrimental effect of the election in locations that were at relatively advanced stages of the epidemics by the time of the election. In contrast, we show that the election did not contribute to the epidemics in départements with lower infection levels by March 15. All in all, our estimates suggest that elections accounted for about 4, 000 excess hospitalizations by the end of March, which represents 15% of all hospitalizations by this time. They also suggest that holding elections in June may not be as detrimental.
Demographics and perceived computer skill levels as predictors of faculty awareness and use of electronic information resources
Authors: Habiba Umme , Ahmed S.M. Zabed 
Published: June 2020

Purpose
The main aim of this paper is to examine the role of demographics and self-reported computer skill levels as predictors of e-resources awareness and use by faculty members working at various public and private universities in Bangladesh.

Design/methodology/approach
An online survey was conducted at public and private universities in Bangladesh. A total of 757 faculty members from 48 universities across the country responded to the survey. The data were analyzed using various descriptive statistics, i.e. frequencies and percentages and non-parametric Mann–Whitney and Kruskal–Wallis tests were conducted to see the differences in levels of awareness among faculty members in terms of university type, gender, age, designation, specialization and computer proficiency levels. An ordinal regression model was used to predict the role of demographics and computer skill levels on faculty awareness levels. Finally, correlation coefficient was measured to see the relationships between faculty awareness and use of e-resources.

Findings
The findings revealed that faculty members working at different universities in Bangladesh are generally aware of most e-resources types. There were significant differences in faculty awareness in terms of demographics and self-reported computer skills levels. The results showed that computer proficiency level is a significant predictor of faculty awareness of e-resources. The findings also showed that awareness and use of e-resources are positively and significantly correlated.

Originality/value
This is the foremost attempt to assess the role of demographics and computer skill levels as predictors of awareness and use of e-resources by faculty members.
Contact mechanics of elastic-plastic fractal surfaces and static friction analysis of asperity scale
Authors: Pan Wujiu , Li Xiaopeng , Wang Xue 
Published: June 2020

Purpose
The purpose of this paper is to provide a static friction coefficient prediction model of rough contact surfaces based on the contact mechanics analysis of elastic-plastic fractal surfaces.

Design/methodology/approach
In this paper, the continuous deformation stage of the multi-scale asperity is considered, i.e. asperities on joint surfaces go through three deformation stages in succession, the elastic deformation, the elastic-plastic deformation (the first elastic-plastic region and the second elastic-plastic region) and the plastic deformation, rather than the direct transition from the elastic deformation to the plastic deformation. In addition, the contact between rough metal surfaces should be the contact of three-dimensional topography, which corresponds to the fractal dimension D (2 < D < 3), not two-dimensional curves. So, in consideration of the elastic-plastic deformation mechanism of asperities and the three-dimensional topography, the contact mechanics of the elastic-plastic fractal surface is analyzed, and the static friction coefficient nonlinear prediction model of the surface is further established.

Findings
There is a boundary value between the normal load and the fractal dimension. In the range smaller than the boundary value, the normal load decreases with fractal dimension; in the range larger than the boundary value, the normal load increases with fractal dimension. Considering the elastic-plastic deformation of the asperity on the contact surface, the total normal contact load is larger than that of ignoring the elastic-plastic deformation of the asperity. There is a proper fractal dimension, which can make the static friction of the contact surface maximum; there is a negative correlation between the static friction coefficient and the fractal scale coefficient.

Originality/value
In the mechanical structure, the research and prediction of the static friction coefficient characteristics of the interface will lay a foundation for the understanding of the mechanism of friction and wear and the interaction relationship between contact surfaces from the micro asperity-scale level, which has an important engineering application value.
Discovering regulatory motifs of genetic networks using the indexing-tree based algorithm: a parallel implementation
Authors: Almomany Abedalmuhdi , Al-Omari Ahmad M. , Jarrah Amin , Tawalbeh Mohammad 
Published: June 2020

PurposeThe problem of motif discovery has become a significant challenge in the era of big data where there are hundreds of genomes requiring annotations. The importance of motifs has led many researchers to develop different tools and algorithms for finding them. The purpose of this paper is to propose a new algorithm to increase the speed and accuracy of the motif discovering process, which is the main drawback of motif discovery algorithms.Design/methodology/approachAll motifs are sorted in a tree-based indexing structure where each motif is created from a combination of nucleotides: ‘A’, ‘C’, ‘T’ and ‘G’. The full motif can be discovered by extending the search around 4-mer nucleotides in both directions, left and right. Resultant motifs would be identical or degenerated with various lengths.FindingsThe developed implementation discovers conserved string motifs in DNA without having prior information about the motifs. Even for a large data set that contains millions of nucleotides and thousands of very long sequences, the entire process is completed in a few seconds.Originality/valueExperimental results demonstrate the efficiency of the proposed implementation; as for a real-sequence of 1,270,000 nucleotides spread into 2,000 samples, it takes 5.9 s to complete the overall discovering process when the code ran on an Intel Core i7-6700 @ 3.4 GHz machine and 26.7 s when running on an Intel Xeon x5670 @ 2.93 GHz machine. In addition, the authors have improved computational performance by parallelizing the implementation to run on multi-core machines using the OpenMP framework. The speedup achieved by parallelizing the implementation is scalable and proportional to the number of processors with a high efficiency that is close to 100%.
The relationship between perceived causes of depression and desire for social distance in Farsi-speaking migrants and refugees from Iran and Afghanistan living in Germany
Authors: Mobashery Mahan , von Lersner Ulrike , Böge Kerem , Fuchs Lukas , Schomerus Georg , Franke Miriam , Angermeyer Matthias Claus , Hahn Eric 
Published: June 2020

PurposeAn increasing number of migrants and refugees seeking asylum in Germany is challenging psychiatrists and psychotherapists in multiple ways. Different cultural belief systems on the causes of mental illness and their treatment have to be taken into consideration. The purpose of this study is to explore perceived causes of depression among Farsi-speaking migrants and refugees from Afghanistan and Iran, which represent two groups with a shared cultural heritage, but originating from very different regimes of mobility. Both are among the largest migrant groups coming to Germany over the past decade.Design/methodology/approachIn total, 50 Iranian and 50 Afghan migrants and refugees, who arrived in Germany in the past 10 years were interviewed, using an unlabeled vignette presenting signs and symptoms of depression. The answers were then coded through inductive content analysis.FindingsAmong Iranians, there was a more significant number of causal attribution to Western psychiatric concepts, whereas Afghans attributed depression more often to the experience of being a refugee without referring to psychological concepts. These differences in attribution did, however, not affect the desire for a social distance toward depressed people. Nonetheless, a higher number of years spent in Germany was associated with less desire for social distance toward persons with depression among Afghans, but not among Iranians.Originality/valueTo the best of the knowledge, this is the first study examining perceived causes of depression with Farsi-speaking migrants in Germany and contributes to understanding tendencies in the perception of depression in non-Western migrant groups.
The effects of CEO-TMT interaction on organizational performance
Authors: Qiao Kun , Yang Chen-Lu , Yin Xue 
Published: June 2020

PurposeUpper echelons theory regards the CEO as a top management team (TMT) member. Research has rarely distinguished the CEO from other TMT members and has not explained the boundaries between them, which causes little attention to be paid to the interaction between the CEO and TMT members. The authors want to divide the CEO and other TMT members into two independent parts and explore the types of interactions between them and the impact of these interactions on organizational performance. The two independent parts and their interactions are important for the integration, supplementation and refinement of leader-team research in the empirical field.Design/methodology/approachA-share listed companies in the Shenzhen Stock Exchange with continuous operation from 2012 to 2015 were selected as samples. The data in the sample were mainly from the CSMAR database and the obtained data were checked with the data in RESSET, Sina Finance, Phoenix New Media and Eastmoney to ensure their accuracy and completeness. Finally, 209 companies were selected as the sample. The authors used SPSS 22.0 to process data.FindingsThe results showed that social network interaction, skill interaction and social experience interaction between the CEO and TMT members significantly affected organizational performance and the effects are more significant than those of the CEO and TMT members individually.Originality/valueSuch consideration can more clearly clarify the organizational use of CEO and TMT members and the complementary and overlapping relationships between them. Further, such consideration is instructive for the rational allocation and efficient operation of leaders and their team members in practice.
Educating for transitions: ecovillages as transdisciplinary sustainability “classrooms”
Authors: Roysen Rebeca , Cruz Tânia Cristina 
Published: June 2020

Purpose
The purpose of this paper is to discuss the pedagogical tools that can enhance transdisciplinarity in higher education and stimulate sustainability transitions, based on the case study of a partnership between the University of Brasilia and an ecovillage in Brazil.

Design/methodology/approach
A qualitative study was carried out, based on professors’ experience, students’ reports and registration data. Emergent themes were discussed based on the concepts of sustainability transitions, transdisciplinarity and active/experiential learning methods.

Findings
Undergraduate classes at the ecovillage have motivated students to work towards sustainability transitions by presenting them with new repertoires of sociotechnical configurations and social practices, by promoting a feeling of belonging and co-responsibility for the world and by a horizontal sharing of knowledge and affections that instigated reflections about their purposes in personal and professional life.

Practical implications
This experience demonstrates the potential of transdisciplinary pedagogical approaches to education for sustainability that promote collaboration with different stakeholders and the reflection on individual and collective motives and values – the inner dimension of sustainability.

Originality/value
It describes an innovative and transformative initiative in the heart of Latin America.