scholarly journals Slow-Fast Cognitive Phenotypes and Their Significance for Social Behavior: What Can We Learn From Honeybees?

2021 ◽  
Vol 9 ◽  
Author(s):  
Dhruba Naug ◽  
Catherine Tait

Cognitive variation is proposed to be the fundamental underlying factor that drives behavioral variation, yet it is still to be fully integrated with the observed variation at other phenotypic levels that has recently been unified under the common pace-of-life framework. This cognitive and the resulting behavioral diversity is especially significant in the context of a social group, the performance of which is a collective outcome of this diversity. In this review, we argue about the utility of classifying cognitive traits along a slow-fast continuum in the larger context of the pace-of-life framework. Using Tinbergen’s explanatory framework for different levels of analyses and drawing from the large body of knowledge about honeybee behavior, we discuss the observed interindividual variation in cognitive traits and slow-fast cognitive phenotypes from an adaptive, evolutionary, mechanistic and developmental perspective. We discuss the challenges in this endeavor and suggest possible next steps in terms of methodological, statistical and theoretical approaches to move the field forward for an integrative understanding of how slow-fast cognitive differences, by influencing collective behavior, impact social evolution.

This book is the product of a two-year research programme entitled Restarting European Long-Term Investment Finance (RELTIF), organized by Assonime and the Centre for Economic Policy Research (CEPR) in London. The programme brought together leading researchers from across the world to consider the causes of the persistently low level of investment in Europe, to examine the extent to which the financial system was a contributory factor and to identify possible policy remedies for it. It considered the relation of finance to corporate sector investment, the lending behaviour of banks, the provision of equity financing, the role of public sector institutions, regulation, and taxation. The chapters in this volume provide one of the most comprehensive and thorough analyses of any financial system that has been undertaken to date. They reflect a large body of research using new and existing data sets, employing advanced empirical tools, and exploiting the unique insights provided by the tumultuous events of the financial and sovereign debt crises. Together they comprise an exceptional body of knowledge to advance academic thinking and guide policy formulation in the future.


2021 ◽  
Vol 14 (7) ◽  
pp. 1159-1165
Author(s):  
Immanuel Trummer

A large body of knowledge on database tuning is available in the form of natural language text. We propose to leverage natural language processing (NLP) to make that knowledge accessible to automated tuning tools. We describe multiple avenues to exploit NLP for database tuning, and outline associated challenges and opportunities. As a proof of concept, we describe a simple prototype system that exploits recent NLP advances to mine tuning hints from Web documents. We show that mined tuning hints improve performance of MySQL and Postgres on TPC-H, compared to the default configuration.


Author(s):  
Scott Henderson

The epidemiology of psychiatric disorders has shown the extent to which these are present in all human populations. It has also provided a large body of knowledge about aetiology. Now that biological including genetic information can be added to data on environmental exposures, opportunities for further advancement carry much promise.


Author(s):  
Emilia Mendes

The objective of this chapter is to provide an introduction to statistical techniques and concepts that are frequently used when dealing with data for effort estimation. The concepts presented here are in no way exhaustive since statistics comprises a very large body of knowledge where entire books are devoted to specific topics. The parts that are the focus of this chapter are those that are necessary to use when building effort estimation models, and also when comparing different effort estimation techniques.


Author(s):  
Javier Garzas ◽  
Mario Piattini

In order to establish itself as a branch of engineering, a profession must understand its accumulated knowledge. In this regard, software engineering has advanced greatly in recent years, but it still suffers from the lack of a structured classification of its knowledge. In this sense, in the field of object-oriented micro-architectural design designers have accumulated a large body of knowledge and it is still have not organized or unified. Therefore, items such as design patterns are the most popular example of accumulated knowledge, but other elements of knowledge exist such as principles, heuristics, best practices, bad smells, refactorings, and so on, which are not clearly differentiated; indeed, many are synonymous and others are just vague concepts.


2002 ◽  
Vol 78 (5) ◽  
pp. 665-671 ◽  
Author(s):  
P Lefort ◽  
B Harvey ◽  
J Parton ◽  
G KM Smith

A review of the scientific literature relevant to the Claybelt region was undertaken under the initiative of Lake Abitibi Model Forest (LAMF) and in collaboration with the Canadian Forest Service, the Ontario and Quebec Ministries of Natural Resources and the NSERC-UQAT-UQAM (Natural Sciences and Engineering Research Council – Université du Québec en Abitibi-Témiscamingue – Université du Québec à Montréal) Industrial Chair in Sustainable forest Management. The objective was to synthesize this information in order to develop better forestry practices and identify knowledge and research gaps. Forestry-related knowledge was gathered on six broad topics: i) natural disturbances, ii) forest ecosystems, iii) past and present forest practices, iv) biological diversity, v) forest management and vi) examples of current applications of natural disturbance-based forest management. The work allowed us to synthesize a large body of knowledge into one publication that will be a useful reference for foresters in both provinces. Key words: biodiversity, Claybelt, even-aged/uneven-aged forests, fire, silvicultural practices


2016 ◽  
Author(s):  
Paul Deveau ◽  
Emmanuel Barillot ◽  
Valentina Boeva ◽  
Andrei Zinovyev ◽  
Eric Bonnet

AbstractBiological pathways or modules represent sets of interactions or functional relationships occurring at the molecular level in living cells. A large body of knowledge on pathways is organized in public databases such as the KEGG, Reactome, or in more specialized repositories, such as the Atlas of Cancer Signaling Network (ACSN). All these open biological databases facilitate analyses, improving our understanding of cellular systems. We hereby describe the R packageACSNMineRfor calculation of enrichment or depletion of lists of genes of interest in biological pathways. ACSNMineR integrates ACSN molecular pathways, but can use any molecular pathway encoded as a GMT file, for instance sets of genes available in the Molecular Signatures Database (MSigDB). We also present the R packageRNaviCell, that can be used in conjunction withACSNMineRto visualize different data types on web-based, interactive ACSN maps. We illustrate the functionalities of the two packages with biological data taken from large-scale cancer datasets.


2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Tomás Sanches Baêna

Background: With the ever-increasing political, ideological and social tension which followed 9/11, crime prevention stands as an issue of major relevance. The development of the ability to accurately detect statements of false intent is of great societal and legal value. It could aid intelligence services in preventing crimes (e.g., terrorist threats) and security services in reinforcing their protocols (e.g., airport security checks, parole hearings, and border control).Goals: To examine the associations between hand movements and false intentions in adults.Methods: Using a laboratory-based variation of the ‘Portsmouth design’, 23 students completed a questionnaire about their intentions to travel in the near future. Participants with a planned trip were placed in the truth tellers’ condition (n = 12). Those who did not have a planned trip were placed in the liars’ condition (n = 11). Based on the main theoretical approaches, three hypotheses were proposed. Hypothesis 1 advocated a decrease in the three categories of illustrators (movements interconnected to speech that serve to illustrate what is being verbally said) in liars, as compared to the truth tellers. Hypothesis 2 also suggested a decrease in the category of subtle hand and finger movements in the lying condition, comparatively with the truth condition. Finally, hypothesis 3 proposed a lack of significant differences between liars and truth-tellers in the five categories of self-adaptors (movements in which one part of the body does something to another body part, such as scratching the ear or squeezing the hands).Results: Hypothesis 1 was partially supported. The general and the unilateral categories of illustrators decreased in the case of the liars, as compared to the truth tellers; however, the bilateral category of illustrators slightly increased in the lying condition, in comparison with truth telling. Hypotheses 2 and 3 were fully supported. Discussion: Apart from the slight increase of bilateral illustrators in the case of the liars, all the results are in accordance with the empirical findings on deception research about past events. This similarity is noteworthy, considering the cognitive differences between lies about past events and lies about future events.


1949 ◽  
Vol 95 (398) ◽  
pp. 101-114 ◽  
Author(s):  
G. N. Jones ◽  
P. K. McCowan

Periodicity as a phenomenon in nature has been known and studied from time immemorial, Astronomy and other sciences have built up a large body of knowledge which goes a long way towards explaining periodicity in the spheres with which they concern themselves. As it appears in the animal kingdom, however, the mechanisms underlying the phenomenon are still largely unrevealed. Of late years the hypothesis has been advanced that many of the periodic happenings in the human economy are subserved by the hypothalamus. Thus menstrual periodicity is held to be due to the hypothalamus acting in conjunction with the endocrine system. This paper is a small contribution to this hypothesis, maintaining as it does that the periodicity observed in certain psychoses is due to the influence of the hypothalamus on the prefrontal cortex. So far no similar report has been made in the large literature dealing with leucotomy and it therefore seemed worth while to give our results in some detail.


ISRN AIDS ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Spinello Antinori

Cryptococcal meningitis is a life-threatening opportunistic fungal infection in both HIV-infected and HIV-uninfected patients. According to the most recent taxonomy, the responsible fungus is classified into a complex that contains two species (Cryptococcus neoformans and C. gattii), with eight major molecular types. HIV infection is recognized worldwide as the main underlying disease responsible for the development of cryptococcal meningitis (accounting for 80–90% of cases). In several areas of sub-Saharan Africa with the highest HIV prevalence despite the recent expansion of antiretroviral (ARV) therapy programme, cryptococcal meningitis is the leading cause of community-acquired meningitis with a high mortality burden. Although cryptococcal meningitis should be considered a neglected disease, a large body of knowledge has been developed by several studies performed in recent years. This paper will focus especially on new clinical aspects such as immune reconstitution inflammatory syndrome, advances on management, and strategies for the prevention of clinical disease.


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