Subject Areas Antiquity

2001 ◽  
Vol 22 (2) ◽  
pp. 60
Author(s):  
Susan Walker ◽  
Peter Higgs
Keyword(s):  
Subject Areas

Students' Intelligence Beliefs Across Subject Areas

2008 ◽  
Author(s):  
Brett D. Jones ◽  
C. N. Byrd ◽  
Danielle L. Lusk
Keyword(s):  
Intelligence Beliefs ◽  
Subject Areas

Meet fractal curves with 1C:MathKit

2020 ◽  
pp. 38-48
Author(s):  
O. M. Korchazhkina
Keyword(s):  
Methodological Approach ◽  
Fractal Curve ◽  
Iterative Processes ◽  
Geometric Figures ◽  
Modern Natural ◽  
Geometric Objects ◽  
Ict Tools ◽  
Subject Areas ◽  
The Subject ◽  
And Mathematics

The article presents a methodological approach to studying iterative processes in the school course of geometry, by the example of constructing a Koch snowflake fractal curve and calculating a few characteristics of it. The interactive creative environment 1C:MathKit is chosen to visualize the method discussed. By performing repetitive constructions and algebraic calculations using ICT tools, students acquire a steady skill of work with geometric objects of various levels of complexity, comprehend the possibilities of mathematical interpretation of iterative processes in practice, and learn how to understand the dialectical unity between finite and infinite parameters of flat geometric figures. When students are getting familiar with such contradictory concepts and categories, that replenishes their experience of worldview comprehension of the subject areas they study through the concept of “big ideas”. The latter allows them to take a fresh look at the processes in the world around. The article is a matter of interest to schoolteachers of computer science and mathematics, as well as university scholars who teach the course “Concepts of modern natural sciences”.

An Inquiry into the Domain of Information Science, with an Emphasis on Contributing Disciplines 1973 to 1998: Preliminary Results

2013 ◽  
Author(s):  
Boyd P. Holmes
Keyword(s):  
Information Science ◽  
Preliminary Results ◽  
Subject Areas

Most information scientists appear to agree that the discipline absorbs, within its boundaries, all or part of certain other subject areas. Certain scholars, including Borko, Garrison, Rayward, James G. Williams and Martha E. Williams, have published, separately, what each of them considers those disciplines to be. My research, for which I present preliminary results in this paper, will. . .

Predicting the citation and impact factor of terms for scientific publications using machine learning algorithms

2020 ◽  
Author(s):  
Aleksey Klokov ◽  
Evgenii Slobodyuk ◽  
Michael Charnine
Keyword(s):  
Machine Learning ◽  
Semantic Processing ◽  
The Body ◽  
Machine Learning Algorithms ◽  
Scientific Publications ◽  
Text Data ◽  
Semantic Relationships ◽  
Subject Areas ◽  
The Subject ◽  
Scientific Environment

The object of the research when writing the work was the body of text data collected together with the scientific advisor and the algorithms for processing the natural language of analysis. The stream of hypotheses has been tested against computer science scientific publications through a series of simulation experiments described in this dissertation. The subject of the research is algorithms and the results of the algorithms, aimed at predicting promising topics and terms that appear in the course of time in the scientific environment. The result of this work is a set of machine learning models, with the help of which experiments were carried out to identify promising terms and semantic relationships in the text corpus. The resulting models can be used for semantic processing and analysis of other subject areas.

TRANSITION TO CONVOLUTIONAL NEURAL NETWORKS IN RADAR PROBLEMS

2019 ◽  
pp. 96-99
Author(s):  
K. Maystrenko ◽  
A. Budilov ◽  
D. Afanasev
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Target Detection ◽  
Convolutional Neural Networks ◽  
Network Topology ◽  
Subject Areas ◽  
The Subject ◽  
Printed Materials ◽  
Hardware Costs

Goal. Identify trends and prospects for the development of radar in terms of the use of convolutional neural networks for target detection. Materials and methods. Analysis of relevant printed materials related to the subject areas of radar and convolutional neural networks. Results. The transition to convolutional neural networks in the field of radar is considered. A review of papers on the use of convolutional neural networks in pattern recognition problems, in particular, in the radar problem, is carried out. Hardware costs for the implementation of convolutional neural networks are analyzed. Conclusion. The conclusion is made about the need to create a methodology for selecting a network topology depending on the parameters of the radar task.

Best of Five MCQs for the Gastroenterology SCE

2013 ◽  
Keyword(s):  
High Stakes ◽  
Subject Areas

Best of Five MCQs for the Gastroenterology SCE is the first revision guide designed specifically for this new high-stakes exam. It contains 210 best of five questions with explanatory answers, each accurately reflecting the layout of questions in the exam. The book is divided into seven subject areas, covering all the main themes of the exam, and providing a thorough assessment of the candidate's gastroenterological knowledge. Where relevant, questions are illustrated with full colour photographs including endoscopic, radiological and histology images. Uniquely, the explanatory answers include references to guidelines and other sources to enable candidates' further reading and study.

scholarly journals Universities and start-up creation by Ph.D. graduates: the role of scientific and social capital of academic laboratories

2021 ◽  
Author(s):  
Alessandro Muscio ◽  
Sotaro Shibayama ◽  
Laura Ramaciotti
Keyword(s):  
Social Capital ◽  
Training Period ◽  
Scientific Excellence ◽  
Academic Knowledge ◽  
Start Up ◽  
Industry Collaboration ◽  
Business Experience ◽  
Subject Areas ◽  
Scientific Capital

AbstractThis paper investigates how the characteristics of university laboratories influence the propensity of Ph.D. students to entrepreneurship, and thus, contribute to the transfer of academic knowledge to society. As determinants of Ph.D. entrepreneurship, we focus on the lab scientific and social capital as well as on the business experience that Ph.D. students acquire during their training period. The empirical exercise is based on questionnaire survey data of 5266 Ph.D. students in Italian universities in all subject areas. First, we find that 6.7% of the Ph.D. graduates engage in startup activities, and thus, Ph.D. training seems to contribute to knowledge transfer through entrepreneurship. Second, Ph.D. entrepreneurship is driven by business experience, in the forms of industry collaboration and industrially applicable research projects, during their training period. Third, the lab scientific capital is negatively associated with Ph.D. entrepreneurship, suggesting a conflict between scientific excellence and entrepreneurship, but this effect is mitigated if students acquire business experience. Fourth, the lab social capital increases the chance of startup when students have business experience. We further investigate the effects of lab environment by distinguishing between startups that are based on university research and startups that are not, finding different determinants.

„Zurück zur Individualität!“ Die Rezeption moderner Religionsphilosophie im Hochland in der Weimarer Zeit

2020 ◽  
Vol 27 (2) ◽  
pp. 220-241
Author(s):  
Paul Silas Peterson
Keyword(s):  
Catholic Church ◽  
Moral Theory ◽  
Philosophy Of Religion ◽  
German Language ◽  
Modern Culture ◽  
Small Minority ◽  
Interpretive Analysis ◽  
Modern Thought ◽  
Subject Areas ◽  
The Individual

Abstract The monthly magazine Hochland was probably the most influential Catholic cultural periodical in Germany in the Weimar Period. According to Georg Cardinal von Kopp’s assessment in 1911, it was “unfortunately the most read periodical in all of the educated circles of Germany, Austria and German Switzerland”. Moving beyond the simple rejection of modern culture in Germany, the journal tried to follow a new program of mediatory engagement, although it did continue to hold to traditional positions in many regards. In this article the reception of modern, Enlightenment-affirmative philosophy of religion in the journal is introduced with reference to reviews and essays from the later 1910s to the early 1930s. The journal’s treatment of a few critical subject areas is given close interpretive analysis, including the journal’s treatment of Gertrud Simmel’s Über das Religiöse, individually conceptualized forms of personalist moral theory, and the general shift to phenomenological discourses and the individual in the philosophy of religion. The fundamental rejections of these ideas and these schools of thought in reviews and essays, which are also found in the journal at this time (as in most all German language Catholic cultural journals of the period), are not addressed in this article. The article thus sheds light on an often-forgotten and relatively small minority phenomenon in German Catholic intellectual circles of the Weimar Period, namely the positive embrace of Enlightenment-oriented modern thought. By promoting these ideas at this time, this group made themselves highly vulnerable to disciplinary measures by the Catholic Church. (The journal was put on the Index in 1911.)

scholarly journals Thematic research clusters in very old populations (≥ 80 years): a bibliometric approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Gregorio Gonzalez-Alcaide ◽  
Sergio Palacios-Fernandez ◽  
Jose-Manuel Ramos-Rincon
Keyword(s):  
Elderly People ◽  
Bacterial Infections ◽  
Healthy Aging ◽  
Population Aging ◽  
Publication Output ◽  
Geographic Region ◽  
Geriatric Syndromes ◽  
Research Attention ◽  
Very Old ◽  
Subject Areas

Abstract Background Population aging will be one of humanity’s major challenges in the decades to come. In addition to focusing on the pathologies causing the greatest mortality and morbidity in this population, such as dementia, health research in elderly people must consider a myriad of other interlinked factors, such as geriatric syndromes, social aspects, and factors related to preserving quality of life and promoting healthy aging. This study aims to identify the main subject areas attracting research attention with regard to very old (≥ 80 years) populations. Methods Documents assigned with the medical subject heading “Aged, 80 and over” were retrieved from MEDLINE and the Web of Science. This dataset was used to determine publication output by disease, geographic region, country, and discipline. A co-word analysis was undertaken to identify thematic research clusters. Results Since the mid-2000s, there has been a boom in scientific output focusing specifically on very old populations, especially in Europe (43.7% of the documents) but also in North America (30.5%) and Asia (26%); other regions made only nominal contributions (0.5 to 4.4%). The USA produced the most research, while the most growth over the study period occurred in Japan, Spain, and China. Four broad thematic clusters were identified: a) geriatric diseases, health services for the aged, and social and psychological issues of aging; b) cardiovascular diseases; c) neoplasms, and d) bacterial infections & anti-bacterial agents. Conclusions Scientific research in very old populations covers a wide variety of interrelated topics. In quantitative terms, the top subject areas have to do with cardiovascular and cerebrovascular diseases (including aortic valve stenosis and stroke), dementia, and neoplasms. However, other degenerative pathologies, geriatric syndromes, and different social and psychosocial aspects also attract considerable interest. It is necessary to promote more equal participation in global research on pathologies and topics related to very elderly populations, as the highest rates of population aging and the largest numbers of elderly people in the next decades will be in low- and middle-income countries.

Sign in / Sign up

Export Citation Format

Share Document