bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-rated exhaustion disorder and associated health-related factors among municipal employees in rural areas of northern Sweden
Authors: Asplund Sofia , Åhlin Johan , Åström Sture , Hedlund Mattias , Lindgren Britt-Marie , Ericson-Lidman Eva 
Published: December 2020

Abstract
Objective
The aims of this study among municipal employees in rural areas of northern Sweden were to assess the prevalence of self-rated exhaustion disorder (s-ED), describe plausible between-group differences in self-reported health-related factors among employees with or without s-ED, and identify health-related factors associated with s-ED.

Methods
In a cross-sectional study, data were collected from 1093 municipal employees (76.1% women) in two rural areas using an instrument measuring s-ED and health variables drawn from the Modern Worklife Questionnaire (MWQ), the Perceived Stress Scale (PSS), and the National Board of Health and Welfare’s questions about physical activity. Comparisons were made between an s-ED and a non-s-ED group. Health-related factors associated with s-ED were identified through a logistic regression.

Results
Self-rated exhaustion disorder was reported by 21.5% of the participants. Health-related factors associated with s-ED were cognitive problems, sleep problems, depressive symptoms, high stress, poor self-rated health, and stomach problems. There was no statistically significant difference in the prevalence of participants who met the criteria of physical activity among s-ED and non-s-ED group.

Conclusion
Findings from this study suggest that s-ED is more common among municipal employees in rural areas than in other working populations in Sweden. Several health-related factors were associated with s-ED. Regular use of a self-rated instrument in evaluating the organizational and social work environment can identify people at risk of developing exhaustion disorder and requiring long-term sick leave.
Biomarker alterations associated with distinct patterns of metastatic spread in colorectal cancer
Authors: Michl M. , Taverna F. , Kumbrink J. , Schiergens T. S. , Heinemann V. , Engel J. , Kirchner T. , Neumann Jens 
Published: December 2020

AbstractMetastatic spread is the most important life-threatening feature of colorectal cancer and is supposed to be mainly driven by alterations in different carcinogenic pathways. The present study compared mutation and expression profiles of distinctive biomarkers in colorectal cancer patients with different clinical metastatic patterns. As for a case-control study, patients were matched according to T category, grading and primary tumour site. Overall, 246 patients with either exclusive lung metastasis (N = 82), exclusive liver metastasis (N = 82) or non-metastatic colorectal cancer (N = 82) were identified. Paraffin-embedded specimens were examined for mutations in the RAS and RAF genes and for the expression of β-catenin and CD133. Clinical endpoints were presence or absence of distant metastasis, formation of metastasis in lungs versus the liver and survival. MAPK pathway mutations in either the KRAS, NRAS or BRAF gene were associated with the development of lung metastasis (63.4%) compared to the control group (47.6%; p = 0.04). MAPK pathway alterations plus high β-catenin expression were associated with metastasis to the lungs but not to the liver (28.0% vs. 13.4%; p = 0.02). High CD133 expression correlated with the development of liver metastasis compared to the control group (30.5% vs. 14.6%; p = 0.02). This data indicates that different patterns of distant spread are associated with specific biomarker alterations and may represent different molecular subtypes of colorectal cancer. However, underlying mechanisms of metastasis formation in different anatomic sites remains unclear. Since knowledge of the anticipated site of distant spread would substantially impact clinical management, further research is needed to identify solid biomarkers for different metastatic patterns.
Cyber risk ordering with rank-based statistical models
Authors: Giudici Paolo , Raffinetti Emanuela 
Published: December 2020

AbstractIn a world that is increasingly connected on-line, cyber risks become critical. Cyber risk management is very difficult, as cyber loss data are typically not disclosed. To mitigate the reputational risks associated with their disclosure, loss data may be collected in terms of ordered severity levels. However, to date, there are no risk models for ordinal cyber data. We fill the gap, proposing a rank-based statistical model aimed at predicting the severity levels of cyber risks. The application of our approach to a real-world case shows that the proposed models are, while statistically sound, simple to implement and interpret.
Product bundling and advertising strategy for a duopoly supply chain: a power-balance perspective
Authors: Jena Sarat Kumar , Ghadge Abhijeet 
Published: December 2020

AbstractThe paper studies product bundling in a duopoly supply chain network under the influence of different power-balance structures, bundling decisions and advertising efforts on total supply chain profit. Mathematical models comprising two manufacturers and a single retailer are developed to capture the impact of bundling policy and advertisement strategy under three power-balance structures, namely Manufacturer Stackelberg, Retailer Stackelberg and Vertical Nash. Following game theory models and numerical examples, the study found that the total profit of the supply chain is undifferentiated under the manufacturer Stackelberg and Vertical Nash case in the manufacturer bundling and retailer bundling strategies. However, total supply chain profit under manufacturer bundling strongly dominates under retailer bundling in Retailer Stackelberg and Vertical Nash, and remains valid under multiple settings of market size, price elasticity and advertising elasticity. It is also found that manufacturer bundling is significantly affected by advertising effort compared to retailer bundling. The study contributes to the literature interfacing supply chain and marketing by studying bundling policy and advertising strategy simultaneously for homogenous products, under various power-balance structures and price competition.
Transparency and accountability influences of regulation on risk control: the case of a Swedish bank
Authors: Kashyap Shruti , Iveroth Einar 
Published: December 2020

AbstractThis qualitative in-depth case study explores the influence of financial regulation on risk control within Banque de Montagne, a large listed bank in Sweden. Specifically, the purpose of this paper is to investigate the impact of the European Banking Authority´s Guidelines on Internal Governance (GL 44), through Swedish Financial Regulation FFFS 2014:1, on the bank’s risk organization along the three lines of defense model of internal control. FFFS 2014:1 requires banks to reform risk control structures, processes, and roles through a mandated split between the operational risk and compliance functions of the internal risk organization. Through an analysis of 41 interviews, more than 2100 pages of internal and external documents, and over 200 hours of observations from 2015 to 2017, the research identifies the relevant changes to transparency and accountability mechanisms across the three lines of defense within the organization. The operationalization of these concepts through risk control mechanisms is an important consideration for both banks and regulators who rely on the three lines of defense model as an industry-wide adoption for effective risk control. The findings suggest that whilst intra- and inter-organizational accountability mechanisms have strengthened under the changed organizational structure through the implementation of FFFS 2014:1, challenges to effective transparency remain and may have ambiguous consequences for both organizational and regulatory aims
SUMMER, a shiny utility for metabolomics and multiomics exploratory research
Authors: Huang Ling , Currais Antonio , Shokhirev Maxim N. 
Published: December 2020

Abstract
Introduction
Cellular metabolites are generated by a complex network of biochemical reactions. This makes interpreting changes in metabolites exceptionally challenging.

Objectives
To develop a computational tool that integrates multiomics data at the level of reactions.

Methods
Changes in metabolic reactions are modeled with input from transcriptomics/proteomics measurements of enzymes and metabolomic measurements of metabolites.

Results
We developed SUMMER, which identified more relevant signals, key metabolic reactions, and relevant underlying biological pathways in a real-world case study.

Conclusion
SUMMER performs integrative analysis for data interpretation and exploration. SUMMER is freely accessible at http://summer.salk.edu and the code is available at https://bitbucket.org/salkigc/summer.
Social practices in teacher knowledge creation and innovation adoption: a large-scale study in an online instructional design community for inquiry learning
Authors: Rodríguez-Triana María Jesús , Prieto Luis P. , Ley Tobias , de Jong Ton , Gillet Denis 
Published: December 2020

AbstractSocial practices are assumed to play an important role in the evolution of new teaching and learning methods. Teachers internalize knowledge developed in their communities through interactions with peers and experts while solving problems or co-creating materials. However, these social practices and their influence on teachers’ adoption of new pedagogical practices are notoriously hard to study, given their implicit and informal nature. In this paper, we apply the Knowledge Appropriation Model (KAM) to trace how different social practices relate to the implementation of pedagogical innovations in the classroom, through the analysis of more than 40,000 learning designs created within Graasp, an online authoring tool to support inquiry-based learning, used by more than 35,000 teachers. Our results show how different practices of knowledge appropriation, maturation and scaffolding seem to be related, to a varying degree, to teachers’ increased classroom implementation of learning designs. Our study also provides insights into how we can use traces from digital co-creation platforms to better understand the social dimension of professional learning, knowledge creation and the adoption of new practices.
How the meanings of ‘home’ influence energy-consuming practices in domestic buildings
Authors: Wang Xinfang , Ghanem Dana Abi , Larkin Alice , McLachlan Carly 
Published: December 2020

AbstractThe UK introduced carbon budgets in 2008, with an aim to reduce greenhouse gases by 80% by 2050 compared with the 1990 levels. It has been argued that the 2015 Paris Agreement on limiting the global average temperature rise to ‘well below 2° C’ requires deeper and more rapid emission reductions than the current UK targets. Household energy consumption accounts for almost a third of total UK CO2emissions in recent years. This paper explores drivers of high energy consumption in domestic buildings from a sociological practice perspective and through a lens of dominant meanings of ‘home’. Whilst the practice approach and meanings of home have been explored separately in the literature to understand household energy consumption, this paper adds new findings on the interaction between the meanings of home and the elements of practices. Results show the dominant meaning of home differs between householders; this in turn affects the materials and procedures of energy-consuming practices. For instance, if ‘home’ means ‘hospitality’, this changes the standard of comfort and convenience people perceive at home. Understanding how practices and meanings of the home intersect, provides new, much needed insights that could support policy change commensurate with more rapidly reducing CO2emissions from domestic energy consumption.
Housing retrofit as an intervention in thermal comfort practices: Chinese and Dutch householder perspectives
Authors: de Feijter Frank J. , van Vliet Bas J.M. 
Published: December 2020

AbstractContemporary packages of housing retrofit equipment are based on models of expected energy savings with regard to globally standardized thermal comfort levels. Previous research shows that the energy savings realised after a housing retrofit is substantially lower than expected. Attempts to reduce energy demand by physical re-design, utilising technical standards for thermal comfort as well as financial incentives, tend to ignore the role of retrofit interventions in the construction of everyday practices of thermal comfort making. Thermal comfort practices of heating, cooling and ventilation are moderated by specific householders’ motivations which constitute ‘wants’ and emerging ‘needs’ in the interaction with the housing retrofit equipment. This paper proposes that the interactions between the retrofitted buildings and the householders are the sum of material affordances, as signified by the design of the housing equipment on the one hand, and the practical affordances in practices-as-performances on the other. The study presents comfort practices in relation to recently retrofitted low-income housing estates in Beijing, Mianyang (Sichuan province, South-west China) and Amsterdam on the basis of 50 qualitative interviews with householders in each city. The paper concludes that the expected energy saving is counteracted by a poor match between conventional retrofit packages and householders’ considerations about their thermal comfort. To better reduce energy demand and to mitigate energy poverty, retrofit packages should provide adaptive thermal comfort as preferred by householders, rather than fixed or tightly specified thermal comfort. Such a perspective may support a more flexible and inclusive use of housing equipment as part of retrofit programs.
New species and nomenclatural changes in Cynorkis (Orchidaceae) from Madagascar, the Comoros and the Mascarenes
Authors: Hermans Johan , Rajaovelona Landy , Cribb Phillip , Hervouet Jean-Michel , Sieder Anton , Andriantiana Jacky 
Published: December 2020

SummaryFour new species,Cynorkis kiehnii, C. marianneae, C. marmorataandC. murex,are described for the first time.Cynorkis frappieriandC. raymondianaare compared, with the latter reduced to a synonym of the former. Cynorkis gaesiformis, C. galeata, C. nutansandC. stenoglossaare compared and considered one variable species, with the nameC. nutanshaving priority. Additional information is provided aboutC. mammuthusfollowing the discovery of living material in N Madagascar.
Determination of retention value using Mike She model in the area of young glacial catchments
Authors: Cieśliński Roman 
Published: December 2020

AbstractThe aim of the paper is the identification of the kinds and conditions of retention occurring in the selected of young glacial catchment (the Potok Oliwski) in natural and anthropogenic conditions by means of the mathematic model of Mike She. As a result of the performed calculations it has been possible to determine that the studied area, thanks to the nature-shaped factors, has a high retention potential, which refers to the ground water storage. The conditions of surface retention, in which a great role is played by blind drainage, have been analysed as well.
Unexpected guests in the tumor microenvironment: microbiome in cancer
Authors: Wong-Rolle Abigail , Wei Haohan Karen , Zhao Chen , Jin Chengcheng 
Published: December 2020

AbstractAlthough intestinal microbiome have been established as an important biomarker and regulator of cancer development and therapeutic response, less is known about the role of microbiome at other body sites in cancer. Emerging evidence has revealed that the local microbiota make up an important part of the tumor microenvironment across many types of cancer, especially in cancers arising from mucosal sites, including the lung, skin and gastrointestinal tract. The populations of bacteria that reside specifically within tumors have been found to be tumor-type specific, and mechanistic studies have demonstrated that tumor-associated microbiota may directly regulate cancer initiation, progression and responses to chemo- or immuno-therapies. This review aims to provide a comprehensive review of the important literature on the microbiota in the cancerous tissue, and their function and mechanism of action in cancer development and treatment.
Academic integrity in the Muslim world: a conceptual map of challenges of culture
Authors: Akbar Akbar , Picard Michelle 
Published: December 2020

AbstractThe literature suggests that a whole-institution culture of academic integrity is needed in order to prevent academic integrity breaches. It is also suggested that the national cultures and individual backgrounds of academic staff and students can impact on their propensity to breach academic integrity policies and on their uptake of initiatives aimed at enhancing academic culture. Much research has been conducted on academic integrity related to culture in the western world including the behaviours of international students, and some work has been conducted in various Asian contexts. However, little is known about how national culture and religion affect academic integrity in eastern countries with a Muslim majority. This paper presents a synthesis of the literature related to academic integrity and culture in regions where Muslims are the majority. An integrative literature review was carried out. Keywords were used to search and to collect academic integrity related research published from 2010 to 2020. The literature reviewed revealed that academics in countries with a Muslim majority faced challenges related to their local cultures, which included social and religious perceptions and practices. However, they were also able to draw upon some national and religious practices that supported and enhanced academic integrity. This paper concludes with recommendations for incorporating these positive cultural factors into an academic integrity framework for policy and practice appropriate for Muslim contexts.
Multi‐scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules
Authors: Godefroy Gabriel , Caumon Guillaume , Laurent Gautier , Bonneau François 
Published: December 2020

AbstractThe characterization of geological faults from geological and geophysical data is often subject to uncertainties, owing to data ambiguity and incomplete spatial coverage. We propose a stochastic sampling algorithm which generates fault network scenarios compatible with sparse fault evidence while honoring some geological concepts. This process is useful for reducing interpretation bias, formalizing interpretation concepts, and assessing first‐order structural uncertainties. Each scenario is represented by an undirected association graph, where a fault corresponds to an isolated clique, which associates pieces of fault evidence represented as graph nodes. The simulation algorithm samples this association graph from the set of edges linking the pieces of fault evidence that may be interpreted as part of the same fault. Each edge carries a likelihood that the endpoints belong to the same fault surface, expressing some general and regional geological interpretation concepts. The algorithm is illustrated on several incomplete data sets made of three to six two‐dimensional seismic lines extracted from a three‐dimensional seismic image located in the Santos Basin, offshore Brazil. In all cases, the simulation method generates a large number of plausible fault networks, even when using restrictive interpretation rules. The case study experimentally confirms that retrieving the reference association is difficult due to the problem combinatorics. Restrictive and consistent rules increase the likelihood to recover the reference interpretation and reduce the diversity of the obtained realizations. We discuss how the proposed method fits in the quest to rigorously (1) address epistemic uncertainty during structural studies and (2) quantify subsurface uncertainty while preserving structural consistency.
Interactions between tumor-derived proteins and Toll-like receptors
Authors: Jang Gun-Young , Lee Ji won , Kim Young Seob , Lee Sung Eun , Han Hee Dong , Hong Kee-Jong , Kang Tae Heung , Park Yeong-Min 
Published: December 2020

AbstractDamage-associated molecular patterns (DAMPs) are danger signals (or alarmins) alerting immune cells through pattern recognition receptors (PRRs) to begin defense activity. Moreover, DAMPs are host biomolecules that can initiate a noninflammatory response to infection, and pathogen-associated molecular pattern (PAMPs) perpetuate the inflammatory response to infection. Many DAMPs are proteins that have defined intracellular functions and are released from dying cells after tissue injury or chemo-/radiotherapy. In the tumor microenvironment, DAMPs can be ligands for Toll-like receptors (TLRs) expressed on immune cells and induce cytokine production and T-cell activation. Moreover, DAMPs released from tumor cells can directly activate tumor-expressed TLRs that induce chemoresistance, migration, invasion, and metastasis. Furthermore, DAMP-induced chronic inflammation in the tumor microenvironment causes an increase in immunosuppressive populations, such as M2 macrophages, myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs). Therefore, regulation of DAMP proteins can reduce excessive inflammation to create an immunogenic tumor microenvironment. Here, we review tumor-derived DAMP proteins as ligands of TLRs and discuss their association with immune cells, tumors, and the composition of the tumor microenvironment.
Prediction of the COVID-19 outbreak in China based on a new stochastic dynamic model
Authors: Zhang Yuan , You Chong , Cai Zhenhao , Sun Jiarui , Hu Wenjie , Zhou Xiao-Hua 
Published: December 2020

AbstractThe current outbreak of coronavirus disease 2019 (COVID-19) has become a global crisis due to its quick and wide spread over the world. A good understanding of the dynamic of the disease would greatly enhance the control and prevention of COVID19. However, to the best of our knowledge, the unique features of the outbreak have limited the applications of all existing dynamic models. In this paper, a novel stochastic model was proposed aiming to account for the unique transmission dynamics of COVID-19 and capture the effects of intervention measures implemented in Mainland China. We found that: (1) instead of aberration, there was a remarkable amount of asymptomatic virus carriers, (2) a virus carrier with symptoms was approximately twice more likely to pass the disease to others than that of an asymptomatic virus carrier, (3) the transmission rate reduced significantly since the implementation of control measures in Mainland China, and (4) it was expected that the epidemic outbreak would be contained by early March in the selected provinces and cities in China.