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Showing papers by "Coventry University published in 2018"


Journal ArticleDOI
TL;DR: The use of the categories "refugee" and "migrant" to differentiate between those on the move and the legitimacy, or otherwise, of their claims to international protection has featured strongly in the media as mentioned in this paper.
Abstract: The use of the categories ‘refugee’ and ‘migrant’ to differentiate between those on the move and the legitimacy, or otherwise, of their claims to international protection has featured strongly duri...

491 citations


Journal ArticleDOI
TL;DR: Zc3h13 (zinc finger CCCH domain-containing protein 13)/Flacc [Fl(2)d-associated complex component] is identified as a novel interactor of m6A methyltransferase complex components in Drosophila and mice and it is demonstrated that Flacc promotes m 6A deposition by bridging Fl( 2)d to the mRNA-binding factor Nito.
Abstract: N6-methyladenosine (m6A) is the most abundant mRNA modification in eukaryotes, playing crucial roles in multiple biological processes. m6A is catalyzed by the activity of methyltransferase-like 3 (Mettl3), which depends on additional proteins whose precise functions remain poorly understood. Here we identified Zc3h13 (zinc finger CCCH domain-containing protein 13)/Flacc [Fl(2)d-associated complex component] as a novel interactor of m6A methyltransferase complex components in Drosophila and mice. Like other components of this complex, Flacc controls m6A levels and is involved in sex determination in Drosophila We demonstrate that Flacc promotes m6A deposition by bridging Fl(2)d to the mRNA-binding factor Nito. Altogether, our work advances the molecular understanding of conservation and regulation of the m6A machinery.

367 citations


Journal ArticleDOI
TL;DR: These 2018 guidelines emphasize a flexible, individualized approach to diabetes management and weight loss and highlight the emerging evidence for remission of Type 2 diabetes.
Abstract: A summary of the latest evidence-based nutrition guidelines for the prevention and management of diabetes is presented. These guidelines are based on existing recommendations last published in 2011, and were formulated by an expert panel of specialist dietitians after a literature review of recent evidence. Recommendations have been made in terms of foods rather than nutrients wherever possible. Guidelines for education and care delivery, prevention of Type 2 diabetes, glycaemic control for Type 1 and Type 2 diabetes, cardiovascular disease risk management, management of diabetes-related complications, other considerations including comorbidities, nutrition support, pregnancy and lactation, eating disorders, micronutrients, food supplements, functional foods, commercial diabetic foods and nutritive and non-nutritive sweeteners are included. The sections on pregnancy and prevention of Type 2 diabetes have been enlarged and the weight management section modified to include considerations of remission of Type 2 diabetes. A section evaluating detailed considerations in ethnic minorities has been included as a new topic. The guidelines were graded using adapted 'GRADE' methodology and, where strong evidence was lacking, grading was not allocated. These 2018 guidelines emphasize a flexible, individualized approach to diabetes management and weight loss and highlight the emerging evidence for remission of Type 2 diabetes. The full guideline document is available at www.diabetes.org.uk/nutrition-guidelines.

310 citations


Journal ArticleDOI
TL;DR: An update of the previous review from 2008 is provided, with a focus on mechanistic insights of how HCF diets may improve IR and the risk of developing T2D.
Abstract: Large prospective cohort studies consistently show associations of a high dietary fiber intake (>25 g/d in women and >38 g/d in men) with a 20-30% reduced risk of developing type 2 diabetes (T2D), after correction for confounders. It is less well recognized that these effects appear to be mainly driven by high intakes of whole grains and insoluble cereal fibers, which typically are nonviscous and do not relevantly influence postprandial glucose responses [i.e., glycemic index (GI)] or are strongly fermented by the gut microbiota in the colon. In contrast, a dietary focus on soluble, viscous, gel-forming, more readily fermentable fiber intakes derived from fruit and certain vegetables yields mixed results and generally does not appear to reduce T2D risk. Although disentangling types of fiber-rich foods and separating these from possible effects related to the GI is an obvious challenge, the common conclusion that key metabolic effects of high-fiber intake are explained by mechanisms that should mainly apply to the soluble, viscous type can be challenged. More recently, studies in humans and animal models focused on gaining mechanistic insights into why especially high-cereal-fiber (HCF) diets appear to improve insulin resistance (IR) and diabetes risk. Although effects of HCF diets on weight loss are only moderate and comparable to other types of dietary fibers, possible novel mechanisms have emerged, which include the prevention of the absorption of dietary protein and modulation of the amino acid metabolic signature. Here we provide an update of our previous review from 2008, with a focus on mechanistic insights of how HCF diets may improve IR and the risk of developing T2D.

280 citations


Journal ArticleDOI
TL;DR: In this article, the authors investigated the critical barriers to green building technologies adoption with reference to the Ghanaian construction market and identified the top three most critical barriers, which are higher costs of GBTs, lack of government incentives, and lack of financing schemes.

275 citations


Journal ArticleDOI
TL;DR: Security vulnerabilities of the multi-server cloud environment of the protocols proposed by Xue et al. and Chuang et al are shown and an informal cryptanalysis confirms that the protocol is protected against all possible security threats.

241 citations


Journal ArticleDOI
TL;DR: Although wire arc additive manufacturing (WAAM) has proven its capability of fulfilling demands of production of medium-to-large-scale components for automotive and allied sectors made up of alumin...
Abstract: Although wire arc additive manufacturing (WAAM) has proven its capability of fulfilling demands of production of medium-to-large-scale components for automotive and allied sectors made up of alumin...

240 citations


Journal ArticleDOI
TL;DR: The discipline of pediatric critical care will be in a stronger position to map out recovery after pediatric critical illness and to evaluate interventions designed to mitigate risk for poor outcomes with the goal of optimizing child and family health.
Abstract: Context: Over the past several decades, advances in pediatric critical care have saved many lives. As such, contemporary care has broadened its focus to also include minimizing morbidity. Post Intensive Care Syndrome, also known as “PICS,” is a group of cognitive, physical, and mental health impairments that commonly occur in patients after ICU discharge. Post Intensive Care Syndrome has been well-conceptualized in the adult population but not in children. Objective: To develop a conceptual framework describing Post Intensive Care Syndrome in pediatrics that includes aspects of the experience that are unique to children and their families. Data Synthesis: The Post Intensive Care Syndrome in pediatrics (PICS-p) framework highlights the importance of baseline status, organ system maturation, psychosocial development, the interdependence of family, and trajectories of health recovery that can potentially impact a child’s life for decades. Conclusion: Post Intensive Care Syndrome in pediatrics will help illuminate the phenomena of surviving childhood critical illness and guide outcomes measurement in the field. Empirical studies are now required to validate and refine this framework, and to subsequently develop a set of core outcomes for this population. With explication of Post Intensive Care Syndrome in pediatrics, the discipline of pediatric critical care will then be in a stronger position to map out recovery after pediatric critical illness and to evaluate interventions designed to mitigate risk for poor outcomes with the goal of optimizing child and family health.

226 citations


Journal ArticleDOI
TL;DR: An overview of the historical, contemporary and potential future roles of ornamental horticulture in plant invasions is provided, showing that currently at least 75% and 93% of the global naturalised alien flora is grown in domestic and botanical gardens, respectively.
Abstract: The number of alien plants escaping from cultivation into native ecosystems is increasing steadily. We provide an overview of the historical, contemporary and potential future roles of ornamental horticulture in plant invasions. We show that currently at least 75% and 93% of the global naturalised alien flora is grown in domestic and botanical gardens, respectively. Species grown in gardens also have a larger naturalised range than those that are not. After the Middle Ages, particularly in the 18th and 19th centuries, a global trade network in plants emerged. Since then, cultivated alien species also started to appear in the wild more frequently than non-cultivated aliens globally, particularly during the 19th century. Horticulture still plays a prominent role in current plant introduction, and the monetary value of live-plant imports in different parts of the world is steadily increasing. Historically, botanical gardens – an important component of horticulture – played a major role in displaying, cultivating and distributing new plant discoveries. While the role of botanical gardens in the horticultural supply chain has declined, they are still a significant link, with one-third of institutions involved in retail-plant sales and horticultural research. However, botanical gardens have also become more dependent on commercial nurseries as plant sources, particularly in North America. Plants selected for ornamental purposes are not a random selection of the global flora, and some of the plant characteristics promoted through horticulture, such as fast growth, also promote invasion. Efforts to breed non-invasive plant cultivars are still rare. Socio-economical, technological, and environmental changes will lead to novel patterns of plant introductions and invasion opportunities for the species that are already cultivated. We describe the role that horticulture could play in mediating these changes. We identify current research challenges, and call for more research efforts on the past and current role of horticulture in plant invasions. This is required to develop science-based regulatory frameworks to prevent further plant invasions.

222 citations


Journal ArticleDOI
TL;DR: In autistic adults, non-suicidal self-injury, camouflaging, and number of unmet support needs significantly predicted suicidality, suggesting there are unique factors associated with autism and autistic traits that increase risk of suicidity.
Abstract: Research has shown high rates of suicidality in autism spectrum conditions (ASC), but there is lack of research into why this is the case. Many common experiences of autistic adults, such as depression or unemployment, overlap with known risk markers for suicide in the general population. However, it is unknown whether there are risk markers unique to ASC that require new tailored suicide prevention strategies. Through consultation with a steering group of autistic adults, a survey was developed aiming to identify unique risk markers for suicidality in this group. The survey measured suicidality (SBQ-R), non-suicidal self-injury (NSSI-AT), mental health problems, unmet support needs, employment, satisfaction with living arrangements, self-reported autistic traits (AQ), delay in ASC diagnosis, and ‘camouflaging’ ASC. One hundred sixty-four autistic adults (65 male, 99 female) and 169 general population adults (54 males, 115 females) completed the survey online. A majority of autistic adults (72%) scored above the recommended psychiatric cut-off for suicide risk on the SBQ-R; significantly higher than general population (GP) adults (33%). After statistically controlling for a range of demographics and diagnoses, ASC diagnosis and self-reported autistic traits in the general population significantly predicted suicidality. In autistic adults, non-suicidal self-injury, camouflaging, and number of unmet support needs significantly predicted suicidality. Results confirm previously reported high rates of suicidality in ASC, and demonstrate that ASC diagnosis, and self-reported autistic traits in the general population are independent risk markers for suicidality. This suggests there are unique factors associated with autism and autistic traits that increase risk of suicidality. Camouflaging and unmet support needs appear to be risk markers for suicidality unique to ASC. Non-suicidal self-injury, employment, and mental health problems appear to be risk markers shared with the general population that are significantly more prevalent in the autistic community. Implications for understanding and prevention of suicide in ASC are discussed.

217 citations


Journal ArticleDOI
TL;DR: In this paper, the implicit assumption in the growing body of literature that social media usage is fundamentally different in B2B companies than in the extant business-to-consumer (B2C) literature is explored.

Journal ArticleDOI
TL;DR: An overview of engagement measurement options that can be employed in eHealth and mHealth behavior change intervention evaluations, discuss methodological considerations, and provide direction for future research is provided.
Abstract: Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement and how it enhances efficacy has been somewhat unclear in the literature Recently published detailed definitions and conceptual models of engagement have helped to build consensus around a definition of engagement and improve our understanding of how engagement may influence effectiveness This work has helped to establish a clearer research agenda However, to test the hypotheses generated by the conceptual modules, we need to know how to measure engagement in a valid and reliable way The aim of this viewpoint is to provide an overview of engagement measurement options that can be employed in eHealth and mHealth behavior change intervention evaluations, discuss methodological considerations, and provide direction for future research To identify measures, we used snowball sampling, starting from systematic reviews of engagement research as well as those utilized in studies known to the authors A wide range of methods to measure engagement were identified, including qualitative measures, self-report questionnaires, ecological momentary assessments, system usage data, sensor data, social media data, and psychophysiological measures Each measurement method is appraised and examples are provided to illustrate possible use in eHealth and mHealth behavior change research Recommendations for future research are provided, based on the limitations of current methods and the heavy reliance on system usage data as the sole assessment of engagement The validation and adoption of a wider range of engagement measurements and their thoughtful application to the study of engagement are encouraged

Journal ArticleDOI
TL;DR: It was found that no single tool is predominantly better than other tools in relation to the 13 identified criteria, and an overall better performance model can only be found by informed integration of tools to form a hybrid model.
Abstract: The bankruptcy prediction research domain continues to evolve with many new different predictive models developed using various tools. Yet many of the tools are used with the wrong data conditions or for the wrong situation. Using the Web of Science, Business Source Complete and Engineering Village databases, a systematic review of 49 journal articles published between 2010 and 2015 was carried out. This review shows how eight popular and promising tools perform based on 13 key criteria within the bankruptcy prediction models research area. These tools include two statistical tools: multiple discriminant analysis and Logistic regression; and six artificial intelligence tools: artificial neural network, support vector machines, rough sets, case based reasoning, decision tree and genetic algorithm. The 13 criteria identified include accuracy, result transparency, fully deterministic output, data size capability, data dispersion, variable selection method required, variable types applicable, and more. Overall, it was found that no single tool is predominantly better than other tools in relation to the 13 identified criteria. A tabular and a diagrammatic framework are provided as guidelines for the selection of tools that best fit different situations. It is concluded that an overall better performance model can only be found by informed integration of tools to form a hybrid model. This paper contributes towards a thorough understanding of the features of the tools used to develop bankruptcy prediction models and their related shortcomings.

Journal ArticleDOI
Hannah Moshontz1, Lorne Campbell2, Charles R. Ebersole3, Hans IJzerman4, Heather L. Urry5, Patrick S. Forscher6, Jon Grahe7, Randy J. McCarthy8, Erica D. Musser9, Jan Antfolk10, Christopher M. Castille11, Thomas Rhys Evans12, Susann Fiedler13, Jessica Kay Flake14, Diego A. Forero, Steve M. J. Janssen15, Justin Robert Keene16, John Protzko17, Balazs Aczel18, Sara Álvarez Solas, Daniel Ansari2, Dana Awlia19, Ernest Baskin20, Carlota Batres21, Martha Lucia Borras-Guevara22, Cameron Brick23, Priyanka Chandel24, Armand Chatard25, Armand Chatard26, William J. Chopik27, David Clarance, Nicholas A. Coles28, Katherine S. Corker29, Barnaby J. W. Dixson30, Vilius Dranseika31, Yarrow Dunham32, Nicholas W. Fox33, Gwendolyn Gardiner34, S. Mason Garrison35, Tripat Gill36, Amanda C. Hahn37, Bastian Jaeger38, Pavol Kačmár39, Gwenaël Kaminski, Philipp Kanske40, Zoltan Kekecs41, Melissa Kline42, Monica A. Koehn43, Pratibha Kujur24, Carmel A. Levitan44, Jeremy K. Miller45, Ceylan Okan43, Jerome Olsen46, Oscar Oviedo-Trespalacios47, Asil Ali Özdoğru48, Babita Pande24, Arti Parganiha24, Noorshama Parveen24, Gerit Pfuhl, Sraddha Pradhan24, Ivan Ropovik49, Nicholas O. Rule50, Blair Saunders51, Vidar Schei52, Kathleen Schmidt53, Margaret Messiah Singh24, Miroslav Sirota54, Crystal N. Steltenpohl55, Stefan Stieger56, Daniel Storage57, Gavin Brent Sullivan12, Anna Szabelska58, Christian K. Tamnes59, Miguel A. Vadillo60, Jaroslava Varella Valentova61, Wolf Vanpaemel62, Marco Antonio Correa Varella61, Evie Vergauwe63, Mark Verschoor64, Michelangelo Vianello65, Martin Voracek46, Glenn Patrick Williams66, John Paul Wilson67, Janis Zickfeld59, Jack Arnal68, Burak Aydin, Sau-Chin Chen69, Lisa M. DeBruine70, Ana María Fernández71, Kai T. Horstmann72, Peder M. Isager73, Benedict C. Jones70, Aycan Kapucu74, Hause Lin50, Michael C. Mensink75, Gorka Navarrete76, Silan Ma77, Christopher R. Chartier19 
Duke University1, University of Western Ontario2, University of Virginia3, University of Grenoble4, Tufts University5, University of Arkansas6, Pacific Lutheran University7, Northern Illinois University8, Florida International University9, Åbo Akademi University10, Nicholls State University11, Coventry University12, Max Planck Society13, McGill University14, University of Nottingham Malaysia Campus15, Texas Tech University16, University of California, Santa Barbara17, Eötvös Loránd University18, Ashland University19, Saint Joseph's University20, Franklin & Marshall College21, University of St Andrews22, University of Cambridge23, Pandit Ravishankar Shukla University24, Centre national de la recherche scientifique25, University of Poitiers26, Michigan State University27, University of Tennessee28, Grand Valley State University29, University of Queensland30, Vilnius University31, Yale University32, Rutgers University33, University of California, Riverside34, Vanderbilt University35, Wilfrid Laurier University36, Humboldt State University37, Tilburg University38, University of Pavol Jozef Šafárik39, Dresden University of Technology40, Lund University41, Massachusetts Institute of Technology42, University of Sydney43, Occidental College44, Willamette University45, University of Vienna46, Queensland University of Technology47, Üsküdar University48, University of Prešov49, University of Toronto50, University of Dundee51, Norwegian School of Economics52, Southern Illinois University Carbondale53, University of Essex54, University of Southern Indiana55, University of Health Sciences Antigua56, University of Illinois at Urbana–Champaign57, Queen's University Belfast58, University of Oslo59, Autonomous University of Madrid60, University of São Paulo61, Katholieke Universiteit Leuven62, University of Geneva63, University of Groningen64, University of Padua65, Abertay University66, Montclair State University67, McDaniel College68, Tzu Chi University69, University of Glasgow70, University of Santiago, Chile71, Humboldt University of Berlin72, Eindhoven University of Technology73, Ege University74, University of Wisconsin–Stout75, Adolfo Ibáñez University76, University of the Philippines Diliman77
01 Oct 2018
TL;DR: The Psychological Science Accelerator is a distributed network of laboratories designed to enable and support crowdsourced research projects that will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.
Abstract: Concerns about the veracity of psychological research have been growing. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions or replicate prior research in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time limited), efficient (in that structures and principles are reused for different projects), decentralized, diverse (in both subjects and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside the network). The PSA and other approaches to crowdsourced psychological science will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.

Journal ArticleDOI
TL;DR: It is found that relationships are more stable and hard to form in east Asia, North Africa, and the Middle East, while they are more fluid in the West and Latin America, and results show that relationally mobile cultures tend to have higher interpersonal trust and intimacy.
Abstract: Biologists and social scientists have long tried to understand why some societies have more fluid and open interpersonal relationships and how those differences influence culture. This study measures relational mobility, a socioecological variable quantifying voluntary (high relational mobility) vs. fixed (low relational mobility) interpersonal relationships. We measure relational mobility in 39 societies and test whether it predicts social behavior. People in societies with higher relational mobility report more proactive interpersonal behaviors (e.g., self-disclosure and social support) and psychological tendencies that help them build and retain relationships (e.g., general trust, intimacy, self-esteem). Finally, we explore ecological factors that could explain relational mobility differences across societies. Relational mobility was lower in societies that practiced settled, interdependent subsistence styles, such as rice farming, and in societies that had stronger ecological and historical threats.

Journal ArticleDOI
TL;DR: In this paper, the authors assess the expectations of stakeholders on how BIM could be employed for construction and demolition waste (CDW) management, and identify five major groups of BIM expectations for CDW management, which are: (i) BIM-based collaboration for waste management, (ii) waste-driven design process and solutions, (iii) waste analysis throughout building lifecycle, innovative technologies for waste intelligence and analytics, and (v) improved documentation.

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TL;DR: A framework for engaging stakeholders in the management of alien species is developed and it is believed that this framework provides an effective approach to minimize the impact of conflicts created by alien species management.

Journal ArticleDOI
TL;DR: In this article, a systematic review of the different BIM dimensions was conducted associated with an online questionnaire sent to various Architecture, Engineering and Construction stakeholders across Europe, and the online questionnaire survey was limited to the 28 European Union (EU) countries.
Abstract: Across the world, the use of Building Information Modelling (BIM) and the three-dimensional (3D) model in projects are increasingly frequent for supporting design tasks. The digital data embodied in the BIM model is shared between the project stakeholders from the various disciplines. After giving an overview of the BIM 3D Model data used for planning (4D) and costing (5D), the study assesses the level of clarity or confusion on what the numbers of dimension refer to after the 5th dimension. A systematic review of the different BIM dimensions was conducted associated with an online questionnaire sent to various Architecture, Engineering and Construction stakeholders across Europe. The online questionnaire survey was limited to the 28 European Union (EU) countries. Each of the 28 EU countries was represented by at least one respondent. The research identified 52 papers considering BIM 4D Model, 15 considering 5D modelling, 6 considering the 6D Model and 2 considering the 7D. It was also identified a confusion between academics and practitioners for the 6D and 7D BIM dimensions. In fact, 86% of the professionals, actually using 6D, allocate Sustainability to 6D. Whereas 85% of the professionals using 7D allocate it to Facility Management.

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TL;DR: In this article, the authors systematically analyzed the regional structure and developmental trend of industrial green transformation and empirically investigated its dynamic threshold effects on carbon intensity under different degrees of environmental regulation.

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TL;DR: In this paper, the authors found that the 10 1¯ 1 and 10 1 ¯ 3 families of hcp planes are the only ones that diffract consistently in the three principal directions.

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TL;DR: In 2017, the dominant greenhouse gases released into Earth's atmosphere-carbon dioxide, methane, and nitrous oxide-reached new record highs. as mentioned in this paper The annual global average carbon dioxide concentration at Earth's surface for 2017 was 405.0 ± 0.1 ppm, 2.2 ppm greater than for 2016 and the highest in the modern atmospheric measurement record and in ice core records dating back as far as 800 000 years.
Abstract: In 2017, the dominant greenhouse gases released into Earth's atmosphere-carbon dioxide, methane, and nitrous oxide-reached new record highs. The annual global average carbon dioxide concentration at Earth's surface for 2017 was 405.0 ± 0.1 ppm, 2.2 ppm greater than for 2016 and the highest in the modern atmospheric measurement record and in ice core records dating back as far as 800 000 years. The global growth rate of CO2 has nearly quadrupled since the early 1960s. With ENSO-neutral conditions present in the central and eastern equatorial Pacific Ocean during most of the year and weak La Nina conditions notable at the start and end, the global temperature across land and ocean surfaces ranked as the second or third highest, depending on the dataset, since records began in the mid-to-late 1800s. Notably, it was the warmest non-El Nino year in the instrumental record. Above Earth's surface, the annual lower tropospheric temperature was also either second or third highest according to all datasets analyzed. The lower stratospheric temperature was about 0.2°C higher than the record cold temperature of 2016 according to most of the in situ and satellite datasets. Several countries, including Argentina, Uruguay, Spain, and Bulgaria, reported record high annual temperatures. Mexico broke its annual record for the fourth consecutive year. On 27 January, the temperature reached 43.4°C at Puerto Madryn, Argentina-the highest temperature recorded so far south (43°S) anywhere in the world. On 28 May in Turbat, western Pakistan, the high of 53.5°C tied Pakistan's all-time highest temperature and became the world-record highest temperature for May. In the Arctic, the 2017 land surface temperature was 1.6°C above the 1981-2010 average, the second highest since the record began in 1900, behind only 2016. The five highest annual Arctic temperatures have all occurred since 2007. Exceptionally high temperatures were observed in the permafrost across the Arctic, with record values reported in much of Alaska and northwestern Canada. In August, high sea surface temperature (SST) records were broken for the Chukchi Sea, with some regions as warm as +11°C, or 3° to 4°C warmer than the longterm mean (1982-present). According to paleoclimate studies, today's abnormally warm Arctic air and SSTs have not been observed in the last 2000 years. The increasing temperatures have led to decreasing Arctic sea ice extent and thickness. On 7 March, sea ice extent at the end of the growth season saw its lowest maximum in the 37-year satellite record, covering 8% less area than the 1981-2010 average. The Arctic sea ice minimum on 13 September was the eighth lowest on record and covered 25% less area than the long-term mean. Preliminary data indicate that glaciers across the world lost mass for the 38th consecutive year on record; the declines are remarkably consistent from region to region. Cumulatively since 1980, this loss is equivalent to slicing 22 meters off the top of the average glacier. Antarctic sea ice extent remained below average for all of 2017, with record lows during the first four months. Over the continent, the austral summer seasonal melt extent and melt index were the second highest since 2005, mostly due to strong positive anomalies of air temperature over most of the West Antarctic coast. In contrast, the East Antarctic Plateau saw record low mean temperatures in March. The year was also distinguished by the second smallest Antarctic ozone hole observed since 1988. Across the global oceans, the overall long-term SST warming trend remained strong. Although SST cooled slightly from 2016 to 2017, the last three years produced the three highest annual values observed; these high anomalies have been associated with widespread coral bleaching. The most recent global coral bleaching lasted three full years, June 2014 to May 2017, and was the longest, most widespread, and almost certainly most destructive such event on record. Global integrals of 0-700-m and 0-2000-m ocean heat content reached record highs in 2017, and global mean sea level during the year became the highest annual average in the 25-year satellite altimetry record, rising to 77 mm above the 1993 average. In the tropics, 2017 saw 85 named tropical storms, slightly above the 1981-2010 average of 82. The North Atlantic basin was the only basin that featured an above-normal season, its seventh most active in the 164-year record. Three hurricanes in the basin were especially notable. Harvey produced record rainfall totals in areas of Texas and Louisiana, including a storm total of 1538.7 mm near Beaumont, Texas, which far exceeds the previous known U.S. tropical cyclone record of 1320.8 mm. Irma was the strongest tropical cyclone globally in 2017 and the strongest Atlantic hurricane outside of the Gulf of Mexico and Caribbean on record with maximum winds of 295 km h-1. Maria caused catastrophic destruction across the Caribbean Islands, including devastating wind damage and flooding across Puerto Rico. Elsewhere, the western North Pacific, South Indian, and Australian basins were all particularly quiet. Precipitation over global land areas in 2017 was clearly above the long-term average. Among noteworthy regional precipitation records in 2017, Russia reported its second wettest year on record (after 2013) and Norway experienced its sixth wettest year since records began in 1900. Across India, heavy rain and flood-related incidents during the monsoon season claimed around 800 lives. In August and September, above-normal precipitation triggered the most devastating floods in more than a decade in the Venezuelan states of Bolivar and Delta Amacuro. In Nigeria, heavy rain during August and September caused the Niger and Benue Rivers to overflow, bringing floods that displaced more than 100 000 people. Global fire activity was the lowest since at least 2003; however, high activity occurred in parts of North America, South America, and Europe, with an unusually long season in Spain and Portugal, which had their second and third driest years on record, respectively. Devastating fires impacted British Columbia, destroying 1.2 million hectares of timber, bush, and grassland, due in part to the region's driest summer on record. In the United States, an extreme western wildfire season burned over 4 million hectares; the total costs of $18 billion tripled the previous U.S. annual wildfire cost record set in 1991.

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TL;DR: The results argue that the best selected partner alternative keeps a high conformance with Shemshadi's and Chaghooshi's methods, and it demonstrates a strong robustness when v and φ parameters fluctuate.

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TL;DR: In this paper, the authors investigated critical masses or thresholds of educational quality at which the diffusion of information with mobile phones enhances inclusive human development, based on simultaneity-robust fixed effects regressions with data from 49 Sub-Saharan African countries for the period 2000-2012.

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TL;DR: In this article, the authors explored whether, how and to what extent big data has disrupted the process of board level decision-making, and found evidence of a shortfall in cognitive capabilities in relation to big data, and issues with cognitive biases and cognitive overload.

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TL;DR: Evidence indicating a key role for the hypothalamic-pituitary axis in the pathogenesis of frailty through aberrant regulation of glucocorticoid secretion, insulin-like growth factor signalling, and androgen production is summarized.

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TL;DR: Contrary to popular beliefs that meditation will lead to prosocial changes, the results of this meta-analysis showed that the effects of meditation on Prosociality were qualified by the type of prosociality and methodological quality of the study.
Abstract: Many individuals believe that meditation has the capacity to not only alleviate mental-illness but to improve prosociality This article systematically reviewed and meta-analysed the effects of meditation interventions on prosociality in randomized controlled trials of healthy adults Five types of social behaviours were identified: compassion, empathy, aggression, connectedness and prejudice Although we found a moderate increase in prosociality following meditation, further analysis indicated that this effect was qualified by two factors: type of prosociality and methodological quality Meditation interventions had an effect on compassion and empathy, but not on aggression, connectedness or prejudice We further found that compassion levels only increased under two conditions: when the teacher in the meditation intervention was a co-author in the published study; and when the study employed a passive (waiting list) control group but not an active one Contrary to popular beliefs that meditation will lead to prosocial changes, the results of this meta-analysis showed that the effects of meditation on prosociality were qualified by the type of prosociality and methodological quality of the study We conclude by highlighting a number of biases and theoretical problems that need addressing to improve quality of research in this area

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TL;DR: In this article, the authors focus on embedding CE values in consumer Retail Retail R... and propose a framework to embed CE values into consumer Retail R... which is based on a growing body of literature concerning Circular Economy.
Abstract: Although there is a growing body of literature concerning Circular Economy (CE), there is little, in terms of frameworks in the literature, which focuses on embedding CE values in consumer Retail R...

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TL;DR: How obesity affects skeletal muscle function is reviewed, thereby reducing mobility and quality of life and exacerbating the ageing process and the relationship between time course of weight gain and changes in muscle function.
Abstract: Obesity can cause a decline in contractile function of skeletal muscle, thereby reducing mobility and promoting obesity-associated health risks. We reviewed the literature to establish the current state-of-knowledge of how obesity affects skeletal muscle contraction and relaxation. At a cellular level, the dominant effects of obesity are disrupted calcium signalling and 5'-adenosine monophosphate-activated protein kinase (AMPK) activity. As a result, there is a shift from slow to fast muscle fibre types. Decreased AMPK activity promotes the class II histone deacetylase (HDAC)-mediated inhibition of the myocyte enhancer factor 2 (MEF2). MEF2 promotes slow fibre type expression, and its activity is stimulated by the calcium-dependent phosphatase calcineurin. Obesity-induced attenuation of calcium signalling via its effects on calcineurin, as well as on adiponectin and actinin affects excitation-contraction coupling and excitation-transcription coupling in the myocyte. These molecular changes affect muscle contractile function and phenotype, and thereby in vivo and in vitro muscle performance. In vivo, obesity can increase the absolute force and power produced by increasing the demand on weight-supporting muscle. However, when normalised to body mass, muscle performance of obese individuals is reduced. Isolated muscle preparations show that obesity often leads to a decrease in force produced per muscle cross-sectional area, and power produced per muscle mass. Obesity and ageing have similar physiological consequences. The synergistic effects of obesity and ageing on muscle function may exacerbate morbidity and mortality. Important future research directions include determining: the relationship between time course of weight gain and changes in muscle function; the relative effects of weight gain and high-fat diet feeding per se; the effects of obesity on muscle function during ageing; and if the effects of obesity on muscle function are reversible.

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TL;DR: In this article, the authors adopt the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to develop a sustainable supply chain finance model under uncertainty to identify the existing problems and deficiencies of financing patterns.

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TL;DR: A hierarchical network for SSSCM in a closed-loop hierarchical structure based on the Fuzzy Delphi Method and Analytical Network Process is developed and it is indicated that the top-ranking aspect to consider is that of environmental service operation design, and the top criteria is reverse logistics integrated into service package.