scholarly journals Spiders (Arachnida: Araneae) in the semideciduous Atlantic Forest: An ecological and morphological trait dataset for functional studies

2020 ◽  
Vol 8 ◽  
Author(s):  
Ana Munévar ◽  
Pedro Cardoso ◽  
Yolanda Piñanez Espejo ◽  
Gustavo Andres Zurita
Keyword(s):  
Atlantic Forest ◽  
Species Conservation ◽  
Foraging Strategy ◽  
Circadian Activity ◽  
Ecological Traits ◽  
Data Set ◽  
Femur Length ◽  
Functional Studies ◽  
The World ◽  
Number Of Individuals

The semideciduous Atlantic Forest is one of the most diverse ecosystems in the world with a great diversity of spiders. Most spider-related studies in this ecosystem focused on species richness and composition; however, little is known about their trait diversity (including morphological, ecological and/or physiological traits). Two main datasets were compiled to generate a complete record of spider traits for this ecosystem. Here, we present two datasets about 259 species of spiders from the semideciduous Atlantic Forest of Argentina. The trait data set compiled information of morphological and ecological traits such as body size, femur length, ocular distance, foraging strategy, prey range, circadian activity and stratum preference; traits were assessed by species considering sexual dimorphism. The second dataset included information about phenology (season when spiders were collected), number of individuals assessed by species and presence/absence of spiders in the different sample sites. This dataset has high potential to help researchers in recording the state of a component of biodiversity (functional) and contributes with the study of ecosystem services and species conservation.

Rotational Characteristics of the Green Solar Corona: 1947-1991

1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský
Keyword(s):  
Solar Corona ◽  
World Wide ◽  
Rotation Period ◽  
Original Data ◽  
Coronal Emission ◽  
Time Intervals ◽  
Data Set ◽  
The World ◽  
Coronal Emission Line ◽  
Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

Vocational Development in Emerging Adulthood

2018 ◽  
Author(s):  
Michael W. Pratt ◽  
M. Kyle Matsuba
Keyword(s):  
Turning Point ◽  
Life Stories ◽  
Life Story ◽  
Emerging Adult ◽  
Vocational Development ◽  
Data Set ◽  
The World ◽  
Key Concepts

Chapter 6 reviews research on the topic of vocational/occupational development in relation to the McAdams and Pals tripartite personality framework of traits, goals, and life stories. Distinctions between types of motivations for the work role (as a job, career, or calling) are particularly highlighted. The authors then turn to research from the Futures Study on work motivations and their links to personality traits, identity, generativity, and the life story, drawing on analyses and quotes from the data set. To illustrate the key concepts from this vocation chapter, the authors end with a case study on Charles Darwin’s pivotal turning point, his round-the-world voyage as naturalist for the HMS Beagle. Darwin was an emerging adult in his 20s at the time, and we highlight the role of this journey as a turning point in his adult vocational development.

scholarly journals The Core of the Global Corporate Network

2021 ◽  
Author(s):  
Ricardo Giglio ◽  
Thomas Lux
Keyword(s):  
Network Topology ◽  
World Wide ◽  
Data Set ◽  
The Core ◽  
Comprehensive Data ◽  
The World ◽  
Corporate Network ◽  
Board Membership ◽  
National Networks ◽  
Wide Population

AbstractWe investigate the network topology of a comprehensive data set of the world-wide population of corporate entities. In particular, we have extracted information on the boards of all companies listed in Bloomberg’s archive of company profiles in October, 2015, a total of almost 100,000 firms. We provide information on board membership overlaps at various levels, and, in particular, show that there exists a core of directors who accumulate a large number of seats and are highly connected among themselves both at the level of national networks and at the worldwide aggregated level.

scholarly journals Intergovernmental Organizations and Foreign Policy Behavior: Some Empirical Findings

1979 ◽  
Vol 73 (2) ◽  
pp. 494-504 ◽  
Author(s):  
James M. McCormick ◽  
Young W. Kihl
Keyword(s):  
Foreign Policy ◽  
Data Base ◽  
Comparative Research ◽  
Intergovernmental Organizations ◽  
Data Set ◽  
The World ◽  
The Relationship ◽  
Policy Behavior ◽  
High Politics ◽  
Foreign Policy Behavior

In this study, we evaluate whether the increase in the number of intergovernmental organizations (IGOs) has resulted in their increased use for foreign policy behavior by the nations of the world. This question is examined in three related ways: (1) the aggregate use of IGOs for foreign policy behavior; (2) the relationship between IGO membership and IGO use; and (3) the kinds of states that use IGOs. Our data base consists of the 35 nations in the CREON (Comparative Research on the Events of Nations) data set for the years 1959–1968.The main findings are that IGOs were employed over 60 percent of the time with little fluctuation on a year-by-year basis, that global and “high politics” IGOs were used more often than regional and “low politics” IGOs, that institutional membership and IGO use were generally inversely related, and that the attributes of the states had limited utility in accounting for the use of intergovernmental organizations. Some of the theoretical implications of these findings are then explored.

A Conundrum of Peer Evaluation of Predicting Poor Prognostic Models Affecting the Mortality Rate of Covid -19

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Yashaswini J ◽  
Niranjan K R ◽  
Beena Ullala Mata B N ◽  
Kaliprasad C S
Keyword(s):  
Prognostic Model ◽  
Statistical Information ◽  
Prognostic Models ◽  
Peer Evaluation ◽  
Research Teams ◽  
Emerging Nations ◽  
The World ◽  
Prognosis Model ◽  
Real World Datasets ◽  
Number Of Individuals

Mankind is confronting these days a histrionic pandemic scene with the Coronavirus proliferation over all continents. The Covid-19 pandemic outbreak is as yet not very much portrayed, and numerous research teams everywhere on the world are chipping away at one or the other restorative therapeutic issues or immunization issues. The outburst of COVID-19 has constituted a danger to wellbeing of world. With the expanding number of individuals tainted, medical services frameworks, particularly those in economically emerging nations, are bearing gigantic pressing factor for the devising a prognostic model. There is a dire requirement for the analysis of COVID-19 and the anticipation of inpatients. To diminish these issues, a data statistical information driven clinical aid framework is advanced in this paper. In view of two real world datasets in Wuhan, China, the proposed framework coordinates information from various sources with tools of Machine Learning (ML) to anticipate COVID-19 tainted likelihood of suspected patients in their first visit, and afterward foresee mortality of affirmed cases. As opposed to picking an interpretable calculation, this framework isolates the clarifications from ML models. It can do help to patient triaging and give some valuable guidance to specialists and doctors. A prognosis model is in the way of extraordinary premium for specialists to adjust their consideration methodology for therapeutic or diagnosis procedure.

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

Comparativa de modelos multivariados basados en aprendizaje automático para la predicción del riesgo de diabetes en etapas tempranas

2021 ◽  
Author(s):  
◽  
Zayra Ramírez Gaytán
Keyword(s):  
World Health ◽  
Degenerative Diseases ◽  
Decision Tree Algorithm ◽  
Data Set ◽  
The World ◽  
Long Time ◽  
Life Threatening ◽  
Health Organization ◽  
Logistic Regression Algorithm ◽  
Asymptomatic Phase

Diabetes is one of the fastest-growing, life-threatening, chronic degenerative diseases. According to the World Health Organization (WHO), it has affected 422 million people worldwide in 2018. Approximately 50% of all people who suffer diabetes are not diagnosed due to the asymptomatic phase which usually lasts a long time. In this work, a data set of 520 instances has been used. The data set has been analyzed with the next three algorithms: logistic regression algorithm, decision trees and random forest. The results show that the decision tree algorithm had better performance with an AUC of 98%. Also, it was found the most common symptoms that a person with a risk of diabetes presents are polyuria, polydipsia and sudden weight loss.

scholarly journals Amphibia, Anura, Centrolenidae, Vitreorana uranoscopa (Müller, 1924): new record for the northeastern region of the state of Rio Grande do Sul, Brazil

Check List ◽  
2011 ◽  
Vol 7 (6) ◽  
pp. 841 ◽  
Author(s):  
Marcoandre Savaris ◽  
Silvana Lampert ◽  
Elaine Maria Lucas ◽  
Angelo Vinicius da Rosa Peres ◽  
Juliana Orsato ◽  
...  
Keyword(s):  
Distribution Pattern ◽  
Biodiversity Conservation ◽  
Atlantic Forest ◽  
New Record ◽  
New Records ◽  
Rio Grande ◽  
Rio Grande Do Sul ◽  
Northeast Region ◽  
The World ◽  
Forest Biome

The Atlantic Forest Biome is among the world’s hotspots for biodiversity conservation and concentrates the greatest diversity of amphibians in the world. However, information on the distribution pattern of species is largely unknown in this biome. This study report new records of Vitreorana uranoscopa for northeast region of Rio Grande do Sul.

scholarly journals Actually existing smart citizens: expertise and (non)participation in the making of the smart city

2018 ◽  
Author(s):  
Taylor Shelton ◽  
Thomas Lodato
Keyword(s):  
Smart City ◽  
Policy Making ◽  
Urban Governance ◽  
Smart Cities ◽  
Top Down ◽  
The World ◽  
Number Of Individuals

In response to the mounting criticism of emerging ‘smart cities’ strategies around the world, a number of individuals and institutions have attempted to pivot from discussions of smart cities towards a focus on ‘smart citizens’. While the smart citizen is most often seen as a kind of foil for those more stereotypically top-down, neoliberal, and repressive visions of the smart city that have been widely critiqued within the literature, this paper argues for an attention to the ‘actually existing smart citizen’, which plays a much messier and more ambivalent role in practice. This paper proposes the dual figures of ‘the general citizen’ and ‘the absent citizen’ as a heuristic for thinking about how the lines of inclusion and exclusion are drawn for citizens, both discursively and materially, in the actual making of the smart city. These figures are meant to highlight how the universal and unspecified figure of ‘the citizen’ is discursively deployed to justify smart city policies, while at the same time, actual citizens remain largely excluded from such decision and policy-making processes. Using a case study of Atlanta, Georgia and its ongoing smart cities initiatives, we argue that while the participation of citizens is crucial to any truly democratic mode of urban governance, the emerging discourse around the promise of smart citizenship fails to capture the realities of how citizens are actually discussed and enrolled in the making of these policies.

scholarly journals Threatened Fishes of the World: Orsinogobius Croaticus (Mrakovčić, Kerovec, Mišetić and Schneider, 1996) (Teleostei: Gobiidae)

2017 ◽  
Vol 75 (1) ◽  
pp. 30-35 ◽  
Author(s):  
Sven Horvatić ◽  
Zoran Marčić ◽  
Milorad Mrakovčić ◽  
Perica Mustafić ◽  
Ivana Buj ◽  
...  
Keyword(s):  
Habitat Fragmentation ◽  
Alien Species ◽  
Freshwater Fish ◽  
Habitat Quality ◽  
Species Conservation ◽  
Distribution Range ◽  
Limited Distribution ◽  
The World ◽  
Threatened Fishes ◽  
Adriatic Basin

Abstract Orsinogobius croaticus is a freshwater fish with a small and limited distribution range in the Adriatic basin in Croatia and Bosnia-Herzegovina, where it inhabits cold karstic rivers and springs. The main threats to its populations include habitat fragmentation, declining habitat quality and the introduction of alien species. Conservation recommendations are proposed to improve effective habitat preservation and to expand the knowledge about this species.

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