scholarly journals Biogeography and ecology: towards the integration of two disciplines

2011 ◽  
Vol 366 (1576) ◽  
pp. 2438-2448 ◽  
Author(s):  
Robert E. Ricklefs ◽  
David G. Jenkins
Keyword(s):  
Evolutionary Biology ◽  
Plate Tectonics ◽  
Large Scale ◽  
Open Systems ◽  
Ecological Factors ◽  
Future Research ◽  
Ecological Communities ◽  
History Of ◽  
Future Research Directions ◽  
Synthetic Approaches

Although ecology and biogeography had common origins in the natural history of the nineteenth century, they diverged substantially during the early twentieth century as ecology became increasingly hypothesis-driven and experimental. This mechanistic focus narrowed ecology's purview to local scales of time and space, and mostly excluded large-scale phenomena and historical explanations. In parallel, biogeography became more analytical with the acceptance of plate tectonics and the development of phylogenetic systematics, and began to pay more attention to ecological factors that influence large-scale distributions. This trend towards unification exposed problems with terms such as ‘community’ and ‘niche,’ in part because ecologists began to view ecological communities as open systems within the contexts of history and geography. The papers in this issue represent biogeographic and ecological perspectives and address the general themes of (i) the niche, (ii) comparative ecology and macroecology, (iii) community assembly, and (iv) diversity. The integration of ecology and biogeography clearly is a natural undertaking that is based on evolutionary biology, has developed its own momentum, and which promises novel, synthetic approaches to investigating ecological systems and their variation over the surface of the Earth. We offer suggestions on future research directions at the intersection of biogeography and ecology.

Lamprophyres, lamproites and related rocks as tracers to supercontinent cycles and metallogenesis

2021 ◽  
pp. SP513-2021-159
Author(s):  
Lukáš Krmíček ◽  
N. V. Chalapathi Rao
Keyword(s):  
Large Scale ◽  
Mantle Metasomatism ◽  
Future Research ◽  
Special Publication ◽  
Rock Types ◽  
Tectonic Events ◽  
Geodynamic Processes ◽  
History Of ◽  
Future Research Directions

AbstractProterozoic to Cenozoic lamprophyres, lamproites and related rock types hold a unique potential for the investigation of processes affecting mantle reservoirs. They originated from primary mantle-derived melts that intruded both cratons and off-craton regions, that were parts of former supercontinents - Columbia, Rodinia and Gondwana-Pangea. Well-known for hosting economic minerals and elements such as diamonds, base metals, platinum-group elements and Au, they are also significant for our understanding of deep-mantle processes, such as mantle metasomatism and mantle plume-lithosphere interactions, as well as large-scale geodynamic processes, including subduction-related tectonics, supercontinent amalgamation and break-up, respectively. This Special Publication presents an overview of the state-of-the-art and recent advances as achieved by individual research groups from different parts of the world, and outlines future research directions. Mineralogical, geochemical, geochronological and isotope analyses are used to decipher the complex petrogenetic and metallogenetic evolution of these extraordinary rocks, and unravel a complete history of tectonic events related to individual supercontinent cycles. The Special Publication including this introductory chapter also deals with some issues related to the classification of these rocks.

scholarly journals Mesophotic.org: a repository for scientific information on mesophotic ecosystems

Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Pim Bongaerts ◽  
Gonzalo Perez-Rosales ◽  
Veronica Z Radice ◽  
Gal Eyal ◽  
Andrea Gori ◽  
...  
Keyword(s):  
Large Scale ◽  
Scientific Information ◽  
Temporal Trends ◽  
Light Availability ◽  
Research Community ◽  
Future Research ◽  
Photosynthetic Organisms ◽  
Future Research Directions ◽  
Available Information ◽  
Reduced Light

Abstract Mesophotic coral ecosystems (MCEs) and temperate mesophotic ecosystems (TMEs) occur at depths of roughly 30–150 m depth and are characterized by the presence of photosynthetic organisms despite reduced light availability. Exploration of these ecosystems dates back several decades, but our knowledge remained extremely limited until about a decade ago, when a renewed interest resulted in the establishment of a rapidly growing research community. Here, we present the ‘mesophotic.org’ database, a comprehensive and curated repository of scientific literature on mesophotic ecosystems. Through both manually curated and automatically extracted metadata, the repository facilitates rapid retrieval of available information about particular topics (e.g. taxa or geographic regions), exploration of spatial/temporal trends in research and identification of knowledge gaps. The repository can be queried to comprehensively obtain available data to address large-scale questions and guide future research directions. Overall, the ‘mesophotic.org’ repository provides an independent and open-source platform for the ever-growing research community working on MCEs and TMEs to collate and expedite our understanding of the occurrence, composition and functioning of these ecosystems. Database URL: http://mesophotic.org/

Organizational Innovation beyond Technology

2015 ◽  
pp. 416-435 ◽  
Author(s):  
M. Isabel Sánchez-Hernández
Keyword(s):  
Organizational Innovation ◽  
Empirical Evaluation ◽  
Internal Marketing ◽  
Internal Market ◽  
Future Research ◽  
Business Services ◽  
History Of ◽  
Future Research Directions ◽  
Knowledge Intensive ◽  
Moments Of Truth

This chapter illustrates internal market orientation's philosophy (IMO) and the innovative Internal Marketing practices in competitive firms. The chapter begins with an explanation of the field of innovation in services going beyond technology to IMO research topics. A brief history of Internal Marketing (IM) and main literature contributions are provided. After that, the focus turns to the empirical evaluation of IMO's dimensions. The analysis is undertaken with data from a survey in Spanish and Portuguese knowledge intensive business services (KIBs). An exploratory factor analysis was performed and eight factors have been extracted from the data set via principal components analysis: Efforts to create a good place to work, Focus on competencies, Dissemination, Awareness of labour market conditions, Focus on individual training and development, Feed-Back communication, Managing the moments of truth, and Internal market research. The chapter concludes with some reflections and suggestions for managers and future research directions are also highlighted.

Enhancing Emergency Response Management using Emergency Description Information Technology (EDIT)

2016 ◽  
pp. 1264-1278
Author(s):  
Michael A. Erskine ◽  
Will Pepper
Keyword(s):  
Emergency Response ◽  
Process Model ◽  
Large Scale ◽  
Design Science ◽  
Future Research ◽  
Sporting Events ◽  
Emergency Responder ◽  
Response Information ◽  
Novel Approach ◽  
Future Research Directions

This paper presents a novel approach toward facilitating the effective collection and communication of information during an emergency. Initially, this research examines current emergency response information workflows and emergency responder dispatch criteria. A process for the optimization of these workflows and criteria, along with a suggested method to improve data collection accuracy and emergency response time using a mobile device application, are suggested. Specifically, a design-science approach incorporating the development of an expert system designed to facilitate efficient and effective sharing of emergency information is applied. The resulting benefits could improve emergency communications during large-scale international gatherings, such as sporting events or festivals, as well as the sharing of industry-specific safety incidents. A process model for conducting analyses of additional emergency response processes is also presented. Finally, future research directions are discussed.

The Same but Different

2019 ◽  
pp. 1-32
Author(s):  
Maria Northcote
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Online Courses ◽  
Future Research ◽  
Technological Innovations ◽  
Research Directions ◽  
Learning Programs ◽  
History Of ◽  
Future Research Directions ◽  
Practical Recommendations

The field of online learning, like many other technological innovations, has not burgeoned without controversy. Despite the debates about the role and value of online learning, it has continued to grow in many sectors, especially in higher education. Alongside the growth of online learning, discussions about its benefits and limitations have also flourished, and many studies have investigated the quality and integrity of online courses. This chapter offers an investigation of some of the history of online learning, concluding with a collection of practical recommendations and suggestions for future research directions to guide institutions embarking on online learning programs.

Artificial Intelligence

2019 ◽  
pp. 13-22
Author(s):  
Steven Walczak
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Intelligent Machines ◽  
History Of ◽  
Future Research Directions ◽  
New Research

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow, well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.

Main Features and Types of Educational Use of Wiki Technology

2021 ◽  
pp. 213-228
Author(s):  
Nikolaos Karipidis ◽  
Jim Prentzas
Keyword(s):  
Learning Communities ◽  
Learning Process ◽  
Future Research ◽  
Learning Approaches ◽  
Research Directions ◽  
Online Learning Communities ◽  
Wiki Technology ◽  
History Of ◽  
Future Research Directions ◽  
The Web

Wiki technology has become very popular during the last years and is used in many fields. It enables the collaborative creation and management of content retaining the history of changes. There is abundant wiki-based content on the web covering a large number of subjects. A significant contribution of wikis involves education. Under certain conditions, technology may enhance the learning process due to the unique features it encompasses. In this context, wikis may prove very helpful as they provide the infrastructure for collaborative learning approaches and the development of online learning communities. This chapter discusses main features of wikis, wiki features specifically required in education, and typical uses of wikis in education. Representative examples of successful wikis are presented. Future research directions are also outlined.

Hacia una conclusión

2020 ◽  
pp. 322-330
Author(s):  
Allison Margaret Bigelow
Keyword(s):  
Research Ethics ◽  
Indigenous Studies ◽  
Future Research ◽  
Research Directions ◽  
Theoretical Approaches ◽  
Colonial Archives ◽  
History Of ◽  
Future Research Directions ◽  
Historical Silences ◽  
The Relationship

This chapter reviews the major methodological and theoretical approaches used in Mining Language, at once concluding the book and gesturing toward future research directions in the fields of history of colonial science and technology and Indigenous Studies. Specifically, it reflects on the relationship between history and literary studies within these intersecting fields. By reflecting on what colonial archives say and do not say, the conclusion argues for the importance of research ethics and methods that confront, acknowledge, and respond to historical silences.

scholarly journals The Efficacy of Ethnic Stacking: Military Defection during Uprisings in Africa

2019 ◽  
Vol 5 (4) ◽  
pp. 695-702 ◽  
Author(s):  
Julien Morency-Laflamme ◽  
Theodore McLauchlin
Keyword(s):  
Large Scale ◽  
Armed Forces ◽  
Future Research ◽  
Group Loyalty ◽  
Limited Support ◽  
History Of ◽  
Group Members ◽  
Using Data ◽  
The Cost ◽  
The Impact

Abstract Does ethnic stacking in the armed forces help prevent military defection? Recent research, particularly in Africa and the Middle East, suggests so; by favoring in-groups, regimes can keep in-group soldiers loyal. In-group loyalty comes at the cost of antagonizing members of out-groups, but many regimes gladly run that risk. In this research note, we provide the first large-scale evidence on the impact of ethnic stacking on the incidence of military defection during uprisings from below, using data on fifty-seven popular uprisings in Africa since formal independence. We find clear evidence for the downside: ethnic stacking is associated with more frequent defection if out-group members are still dominant in the armed forces. We find more limited support for the hypothesized payoff. Ethnic stacking may reduce the risk of defection, but only in regimes without a recent history of coup attempts. Future research should therefore trace the solidification of ethnic stacking over time.

scholarly journals Advancements in Deep Learning Theory and Applications: Perspective in 2020 and beyond

2020 ◽  
Author(s):  
Md Nazmus Saadat ◽  
Muhammad Shuaib
Keyword(s):  
Deep Learning ◽  
Open Source ◽  
Language Processing ◽  
Future Research ◽  
Learning In Context ◽  
Postgraduate Students ◽  
History Of ◽  
Learning Platforms ◽  
Future Research Directions ◽  
Learning Machine

The aim of this chapter is to introduce newcomers to deep learning, deep learning platforms, algorithms, applications, and open-source datasets. This chapter will give you a broad overview of the term deep learning, in context to deep learning machine learning, and Artificial Intelligence (AI) is also introduced. In Introduction, there is a brief overview of the research achievements of deep learning. After Introduction, a brief history of deep learning has been also discussed. The history started from a famous scientist called Allen Turing (1951) to 2020. In the start of a chapter after Introduction, there are some commonly used terminologies, which are used in deep learning. The main focus is on the most recent applications, the most commonly used algorithms, modern platforms, and relevant open-source databases or datasets available online. While discussing the most recent applications and platforms of deep learning, their scope in future is also discussed. Future research directions are discussed in applications and platforms. The natural language processing and auto-pilot vehicles were considered the state-of-the-art application, and these applications still need a good portion of further research. Any reader from undergraduate and postgraduate students, data scientist, and researchers would be benefitted from this.

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