scholarly journals The Understudied Risks of Low-Magnitude Eruptions

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Kate Wheeling

Volcanologists have historically focused on the risks of large-scale eruptions, but new research highlights how small eruptions can combine with human-made vulnerabilities to cause catastrophic impacts.

Author(s):  
Ron Avi Astor ◽  
Rami Benbenisthty

Since 2005, the bullying, school violence, and school safety literatures have expanded dramatically in content, disciplines, and empirical studies. However, with this massive expansion of research, there is also a surprising lack of theoretical and empirical direction to guide efforts on how to advance our basic science and practical applications of this growing scientific area of interest. Parallel to this surge in interest, cultural norms, media coverage, and policies to address school safety and bullying have evolved at a remarkably quick pace over the past 13 years. For example, behaviors and populations that just a decade ago were not included in the school violence, bullying, and school safety discourse are now accepted areas of inquiry. These include, for instance, cyberbullying, sexting, social media shaming, teacher–student and student–teacher bullying, sexual harassment and assault, homicide, and suicide. Populations in schools not previously explored, such as lesbian, gay, bisexual, transgender, and queer students and educators and military- and veteran-connected students, become the foci of new research, policies, and programs. As a result, all US states and most industrialized countries now have a complex quilt of new school safety and bullying legislation and policies. Large-scale research and intervention funding programs are often linked to these policies. This book suggests an empirically driven unifying model that brings together these previously distinct literatures. This book presents an ecological model of school violence, bullying, and safety in evolving contexts that integrates all we have learned in the 13 years, and suggests ways to move forward.


2017 ◽  
Vol 139 (5) ◽  
Author(s):  
Sara Benyakhlef ◽  
Ahmed Al Mers ◽  
Ossama Merroun ◽  
Abdelfattah Bouatem ◽  
Hamid Ajdad ◽  
...  

Reducing levelized electricity costs of concentrated solar power (CSP) plants can be of great potential in accelerating the market penetration of these sustainable technologies. Linear Fresnel reflectors (LFRs) are one of these CSP technologies that may potentially contribute to such cost reduction. However, due to very little previous research, LFRs are considered as a low efficiency technology. In this type of solar collectors, there is a variety of design approaches when it comes to optimizing such systems. The present paper aims to tackle a new research axis based on variability study of heliostat curvature as an approach for optimizing small and large-scale LFRs. Numerical investigations based on a ray tracing model have demonstrated that LFR constructors should adopt a uniform curvature for small-scale LFRs and a variable curvature per row for large-scale LFRs. Better optical performances were obtained for LFRs regarding these adopted curvature types. An optimization approach based on the use of uniform heliostat curvature for small-scale LFRs has led to a system cost reduction by means of reducing its receiver surface and height.


2013 ◽  
Vol 680 ◽  
pp. 534-539
Author(s):  
Wei Feng Ma

With the rapid expansion of the campus scale and the increasing of the geographically dispersed campus, how to adopt new theory, new method and new technology to realize the equipment optimized assignment and the information management is a new research challenge. It is the key to safeguard the national fund to use reasonably, and to speed up the development of education healthily. Through analyzing the domestic and foreign related research works, the paper proposed that it can take use of the spatial data expression and analysis with Geographic Information System (GIS) to realize the large-scale and inter-campuses equipment optimized assignment and information management. It discussed the mathematics model and the system architecture. Moreover, the paper described the key implementation technology in great detail such as spatial data mapping with MapInfo professional 9 and the development of WebGIS functions with MapXtreme. The results show that the solution is feasible and effective.


2016 ◽  
Vol 27 (1) ◽  
pp. 15-21 ◽  
Author(s):  
M Kumaresan

Purpose – The purpose of this paper is to extract the eco-friendly natural dye obtained from the flower of Spathodea campanulata and apply on silk fabric using combination of mordants. The fastness properties of the flower of Spathodea campanulata dyed silk fabric have been studied using different combination (1:3, 1:1 and 3:1) of various mordants, such as myrobolan: nickel sulphate, myrobolan: aluminium sulphate, myrobolan: potassium dichromate, myrobolan: ferrous sulphate and myrobolan: stannous chloride. The wash, rub, light and perspiration fastness of the dyed samples have been evaluated. Design/methodology/approach – For dyeing there are three methods are used. They are Pre mordanting, Simultaneous mordanting and Post mordanting methods. Dyed silk materials are tested by using wash fastness, rub fastness, light and perspiration fastness methods. Findings – It is found that Spathodea campanulata dye can be successfully used for the dyeing of silk to obtain a wide range colours by using various combinations of mordants. With regards to colour fastness, test samples exhibit excellent fastness to washing, rubbing, except for pre-mordanting using myrobolan: potassium dichromate combination; and good to excellent fastness to perspiration in both acidic and alkaline media. Originality/value – Availability of literature related to this work is not available. The study of combination of mordants of this natural dye on silk is a new research work and the large scale preparation is definitely very useful to the society.


Author(s):  
Jessica Bell ◽  
Megan Prictor ◽  
Lauren Davenport ◽  
Lynda O’Brien ◽  
Melissa Wake

‘Digital Mega-Studies’ are entirely or extensively digitised, longitudinal, population-scale initiatives, collecting, storing, and making available individual-level research data of different types and from multiple sources, shaped by technological developments and unforeseeable risks over time. The Australian ‘Gen V’ project exemplifies this new research paradigm. In 2019, we undertook a multidisciplinary, multi-stakeholder process to map Digital Mega-Studies’ key characteristics, legal and governance challenges and likely solutions. We conducted large and small group processes within a one-day symposium and directed online synthesis and group prioritisation over subsequent weeks. We present our methods (including elicitation, affinity mapping and prioritisation processes) and findings, proposing six priority governance principles across three areas—data, participation, trust—to support future high-quality, large-scale digital research in health.


Tapestry, the most costly and coveted art form in Renaissance and Baroque Europe, has long fascinated scholars. In the 19th and early 20th centuries, researchers delved into archival sources and studied extant tapestries to produce sweeping introductions to the medium. The study of tapestry, however, fell outside mainstream art history, with tapestry too often seen as a less important “decorative art” rather than a “fine art.” , Also, tapestry did not fit easily into an art history that prioritized one master, as the making of a set of large-scale tapestries required a team of collaborators, including the designer, cartoon painters, and weavers, as well as a producer/entrepreneur and, often, a patron. Scholarship on European tapestries in the Early Modern period, nevertheless, flourished. By the late 20th century art historians turned attention to the “decorative arts” and tapestry specialists produced exciting new research illuminating aspects of design, production, and patronage, as well as tapestry’s crucial role in the larger narrative of art and cultural history. In 2002, the Metropolitan Museum of Art’s landmark exhibition and catalogue, Tapestry in the Renaissance: Art and Magnificence, spotlighted the art form, introduced it to a broad audience, and brought new understanding of tapestry as art. A sequel, the Met’s 2007 exhibition and catalogue, Tapestry in the Baroque: Threads of Splendor, followed. Other major museums presented ambitious exhibitions, accompanied by catalogues with substantial new research. In addition, from the late 20th century, institutions have produced complete catalogues of their extraordinary European tapestry holdings, among them: the Metropolitan Museum of Art in New York; the Patrimonio Nacional in Spain; the Rijksmuseum in Amsterdam; the Art Institute of Chicago; and the Burrell Collection in Glasgow. At the same time, articles and books exploring specific designs, designers, producers, and patrons appeared, with some monographs published in the dedicated series, Studies in Western Tapestry, edited by leading scholars Guy Delmarcel and Koenraad Brosens, and produced by Brepols. Tapestry research has often focused on the works of well-known designers and their exceptionally innovative work, such as the artists Raphael (b. 1483–d. 1520) or Peter Paul Rubens (b. 1577–d. 1640). High-quality production at major centers, including Brussels or at the Gobelins Manufactory in France, has also captured scholars’ attention, as have important patrons, among them Henry VIII of England (b. 1491–d. 1547) or Louis XIV of France (b. 1638–d. 1715). Newer directions for research include the contributions of women as weavers and entrepreneurs, the practice of reweaving designs, and the international reach and appeal of Renaissance and Baroque tapestry beyond Europe.


Author(s):  
Bin Guo ◽  
Yunji Liang ◽  
Zhu Wang ◽  
Zhiwen Yu ◽  
Daqing Zhang ◽  
...  

In the past decades, numerous research efforts have been made to model and extract the contexts of users in pervasive computing environments. The recent explosion of sensor-equipped mobile phone market and the phenomenal growth of geo-tagged data (Twitter messages, Foursquare check-ins, etc.) have enabled the analysis of new dimensions of contexts that involve the social and urban context. The technology trend towards pervasive sensing and large-scale social and community computing is making “Social and Community Intelligence (SCI)” a new research area that aims at investigating individual/group behavior patterns, community and urban dynamics based on the “digital footprints.” It is believed that the SCI technology has the potential to revolutionize the field of context-aware computing. The aim of this chapter is to identify this emerging research area, present the research background, define the general system framework, characterize its unique properties, discuss the open research challenges, and present this emerging research field.


2009 ◽  
Vol 74 (3) ◽  
pp. 423-447 ◽  
Author(s):  
Brian S. Robinson ◽  
Jennifer C. Ort ◽  
William A. Eldridge ◽  
Adrian L. Burke ◽  
Bertrand G. Pelletier

Large social aggregations are among the most highly organized events associated with mobile hunter-gatherers. The Bull Brook Paleoindian site in Ipswich, Massachusetts provides the strongest case for large-scale Paleoindian aggregation in North America, with 36 discrete concentrations of artifacts arranged in a large circle. Avocational archaeologists who salvaged the site in the 1950s interpreted it as a single occupation. Professionals first rejected and then revived this hypothesis, but the site remained insufficiently analyzed to evaluate. New research supports the single occupation hypothesis with a fully reconstructed site plan and the first complete analysis of artifact distributions. Clear spatial structure of activities within the ring-shaped site plan provides a window on social contexts that are also visible in smaller Paleoindian settlements.


2019 ◽  
Vol 8 (10) ◽  
pp. 1535 ◽  
Author(s):  
Francisco Azuaje ◽  
Sang-Yoon Kim ◽  
Daniel Perez Hernandez ◽  
Gunnar Dittmar

Proteomics data encode molecular features of diagnostic value and accurately reflect key underlying biological mechanisms in cancers. Histopathology imaging is a well-established clinical approach to cancer diagnosis. The predictive relationship between large-scale proteomics and H&E-stained histopathology images remains largely uncharacterized. Here we investigate such associations through the application of machine learning, including deep neural networks, to proteomics and histology imaging datasets generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) from clear cell renal cell carcinoma patients. We report robust correlations between a set of diagnostic proteins and predictions generated by an imaging-based classification model. Proteins significantly correlated with the histology-based predictions are significantly implicated in immune responses, extracellular matrix reorganization, and metabolism. Moreover, we showed that the genes encoding these proteins also reliably recapitulate the biological associations with imaging-derived predictions based on strong gene–protein expression correlations. Our findings offer novel insights into the integrative modeling of histology and omics data through machine learning, as well as the methodological basis for new research opportunities in this and other cancer types.


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