A New Data Set of Educational Inequality in the World, 1950-2010: Gini Index of Education by Age Group

2011 ◽  
Author(s):  
Benaabdelaali Wail ◽  
Said Hanchane ◽  
Abdelhak Kamal
Keyword(s):  
Gini Index ◽  
Educational Inequality ◽  
Age Group ◽  
Data Set ◽  
The World

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.

Health Problems of Adolescence: Report of a WHO Expert Committee. World Health Organization:

PEDIATRICS ◽  
1966 ◽  
Vol 37 (2) ◽  
pp. 392-392
Author(s):  
THOMAS E. CONE
Keyword(s):  
World Health Organization ◽  
Health Problems ◽  
World Health ◽  
Expert Committee ◽  
Age Group ◽  
Committee Meeting ◽  
Adolescent Population ◽  
The World ◽  
Group 15 ◽  
Health Organization

This is a timely, concise, eminently practical, thoughtfully, even tenderly, written 28 page report of a recent WHO Expert Committee meeting on the health problems of adolescence. The members and the consultants to the Committee deftly summarize the major worldwide trends affecting our adolescent population. The size of this population is staggering; in the age group 15-19 years alone there are already 300 million adolescents in the world, and there seems every likelihood that these numbers will increase rapidly during the next decade.

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 Current possibilities of improving the results of kidney transplantation in patients of the older age group, including those with an aggravated urological history

2021 ◽  
Vol 13 (2) ◽  
pp. 165-178
Author(s):  
B. Z. Khubutiya ◽  
O. N. Rzhevskaya ◽  
A. A. Lisenok
Keyword(s):  
Renal Failure ◽  
Kidney Transplantation ◽  
Chronic Renal Failure ◽  
Elderly Patients ◽  
Kidney Transplant ◽  
Older Age ◽  
Long Term Results ◽  
Kidney Graft ◽  
Age Group ◽  
The World

Introduction. All over the world and in Russia, the number of patients requiring dialysis therapy and kidney transplantation for chronic renal failure in the end-stage of the renal disease is increasing. In many countries of the world, the number of dialysis patients over 60 years of age accounts for 30 to 45% of all patients with chronic renal failure. Meantime, taking into account the improved methods for early diagnosis of chronic renal failure and the treatment methods for chronic kidney disease, including the renal replacement therapy, we can expect an increase in the number of elderly potential kidney transplant recipients. The likelihood of receiving a renal graft in elderly patients is significantly lower than in young recipients. Elderly patients are known to have a higher risk of death while waiting for a kidney transplant due to higher morbidity and lethality on dialysis. For this reason, the urgency of increasing the availability of kidney transplantation in elderly patients is growing over time. One of the solutions can be the use of kidneys from suboptimal donors with a far from ideal graft quality, but which could meet the needs for transplant care of the older age group of patients. The older age of a recipient entails a certain risk of developing a graft dysfunction due to the presence of concomitant diseases, and the potential risk increases even more with kidney transplants from expanded criteria donors. If a reduced functional reserve of kidneys removed from donors with extended criteria is identified, two-kidney transplantation is possible, which provides fairly good long-term results. To reduce the risk of a kidney graft loss, a careful selection of recipients is necessary, taking into account their co-morbidities, including the presence of urological diseases that impair the function of the upper and lower urinary tract. Their timely identification and correction makes it possible to raise the availability of kidney transplantation for elderly patients and improve its results. This review presents the results of the studies conducted in various world transplant centers, covers the mortality rates, kidney graft and recipient survival rates.The study purpose was to summarize the actual data and the results of the study on kidney transplantation in elderly patients with urological pathology.

scholarly journals Role of Multi Detector Computed Tomography Cervicocerebral Angiography in Evaluation of Patients with Stroke

2020 ◽  
Vol 8 (1) ◽  
pp. 93-99
Author(s):  
Balaji Varaprasad Mallula ◽  
Jithender Reddy Chintala ◽  
Srinadh Boppanna ◽  
S. Annapurna
Keyword(s):  
Prospective Observational Study ◽  
Hemorrhagic Stroke ◽  
Accurate Diagnosis ◽  
Age Group ◽  
Common Risk Factor ◽  
Female Ratio ◽  
The World ◽  
Male To Female ◽  
Multi Detector Computed Tomography

Background: Stroke is the second single most common cause of death in the world causing approximately 6.7 million deaths each year. It has a greater disability impact on an individual than any other chronic disease. The aim of the study is to review the value of CTA in detection and evaluation of non-traumatic cervicocerebral vascular disease (stroke). Subjects & Methods: A prospective observational study conducted in the Department of Radiodiagnosis, Kamineni Hospitals, L.B. Nagar, Hyderabad over 60 patients during April 2016 to May 2017. Results: Out of 60 patients, 35(58.3%) patients had ischemic stroke, 25(41.6%) had hemorrhagic stroke. Overall stroke was seen mostly in the age group of 61-70 (28.3%) years, with a Male to female ratio of 3:2. Conclusion: Hypertension was the most common risk factor associated with this disease, followed by diabetes. CTA helps in accurate diagnosis, risk stratification and planning management protocols.

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