scholarly journals Estimation of competences of short-term and long-term planning in the structure of the activity of the teacher of higher school

2019 ◽  
pp. 94-108
Author(s):  
O. Prirodova ◽  
A. Danilova ◽  
A. Morgun
Keyword(s):  
Higher Education ◽  
Educational Activity ◽  
Professional Activity ◽  
Development Programs ◽  
Medium Term ◽  
Short Term ◽  
Actual Increase ◽  
Medium Level ◽  
Work Functions

The analysis of  the  professional activity of  a  teacher of  higher  education can be  carried out in  several aspects: by  assessing the  content of  the  activity, overall effectiveness, the nature of the tasks to be solved, etc. However, for the performance of work functions the most appropriate will be a competency analysis of professional activity. The  authors assessed the  expressiveness of  the  competencies of  short-term, medium-term and long-term planning by  teachers of  higher  education, taking into account the  duration of  the  educational activity. A  low and medium level of expression of these competencies was revealed, regardless of the duration of the pedagogical activity, as well as the absence of an actual increase in the volume of  competence with the  duration of  the  pedagogical activity over 5 years, which is  evidence of  staff stagnation. The  findings can be  the  basis for organizing professional development programs for teachers in  relevant aspects of  their activities in order to improve their planning competencies.

scholarly journals Long-Term Data Traffic Forecasting for Network Dimensioning in LTE with Short Time Series

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1151
Author(s):  
Carolina Gijón ◽  
Matías Toril ◽  
Salvador Luna-Ramírez ◽  
María Luisa Marí-Altozano ◽  
José María Ruiz-Avilés
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Time Series Analysis ◽  
Data Traffic ◽  
Medium Term ◽  
Short Term ◽  
Traffic Forecasting ◽  
Series Analysis ◽  
Radio Planning

Network dimensioning is a critical task in current mobile networks, as any failure in this process leads to degraded user experience or unnecessary upgrades of network resources. For this purpose, radio planning tools often predict monthly busy-hour data traffic to detect capacity bottlenecks in advance. Supervised Learning (SL) arises as a promising solution to improve predictions obtained with legacy approaches. Previous works have shown that deep learning outperforms classical time series analysis when predicting data traffic in cellular networks in the short term (seconds/minutes) and medium term (hours/days) from long historical data series. However, long-term forecasting (several months horizon) performed in radio planning tools relies on short and noisy time series, thus requiring a separate analysis. In this work, we present the first study comparing SL and time series analysis approaches to predict monthly busy-hour data traffic on a cell basis in a live LTE network. To this end, an extensive dataset is collected, comprising data traffic per cell for a whole country during 30 months. The considered methods include Random Forest, different Neural Networks, Support Vector Regression, Seasonal Auto Regressive Integrated Moving Average and Additive Holt–Winters. Results show that SL models outperform time series approaches, while reducing data storage capacity requirements. More importantly, unlike in short-term and medium-term traffic forecasting, non-deep SL approaches are competitive with deep learning while being more computationally efficient.

Sampling estuarine copepods at different scales and resolutions: a study in Rio de la Plata

2018 ◽  
Vol 99 (5) ◽  
pp. 1059-1064 ◽  
Author(s):  
Sourav Paul ◽  
Danilo Calliari
Keyword(s):  
Sampling Effort ◽  
Rio De La Plata ◽  
Population Densities ◽  
Medium Term ◽  
Short Term ◽  
Río De La Plata ◽  
La Plata ◽  
Resource Limitations ◽  
Paracalanus Parvus

AbstractIn the Rio de la Plata salinity, temperature, chlorophyll a (chl a), and densities (ind. m−3) of the copepods Acartia tonsa and Paracalanus parvus were measured from January to November in 2003 by following a nested weekly and monthly design. Such sampling yielded two separate datasets: (i) Yearly Dataset (YD) which consists of data of one sampling effort per month for 11 consecutive months, and (ii) Seasonal Weekly Datasets (SWD) which consists of data of one sampling effort per week of any four consecutive weeks within each season. YD was assumed as a medium-term low-resolution (MTLR) dataset, and SWD as a short-term high-resolution (STHR) dataset. The hypothesis was, the SWD would always capture (shorter scales generally captures more noise in data) more detail variability of copepod populations (quantified through the regression relationships between temporal changes of salinity, temperature, chl a and copepod densities) than the YD. Analysis of both YD and SWD found that A. tonsa density was neither affected by seasonal cycles, nor temporal variability of salinity, temperature and chl a. Thus, compared to STHR sampling, MTLR sampling did not yield any further information of the variability of population densities of the perennial copepod A. tonsa. Analysis of SWD found that during summer and autumn the population densities of P. parvus had a significant positive relationship to salinity but their density was limited by higher chl a concentration; analysis of YD could not yield such detailed ecological information. That hints the effectiveness of STHR sampling over MTLR sampling in capturing details of the variability of population densities of a seasonal copepod species. Considering the institutional resource limitations (e.g. lack of long-term funding, manpower and infrastructure) and the present hypothesis under consideration, the authors suggest that a STHR sampling may provide useful complementary information to interpret results of longer-term natural changes occurring in estuaries.

scholarly journals METHODS OF FORMING MATHEMATICAL MOBILITY OF FUTURE ENGINEERS IN HIGHER MATHEMATICS CLASSES

2021 ◽  
Vol 1 ◽  
pp. 270-281
Author(s):  
Irina Khomyuk ◽  
Svetlana Kyrylashchuk ◽  
Victor Khomyuk ◽  
Zlata Bondarenkо ◽  
Iryna Klieopa
Keyword(s):  
Higher Education ◽  
Readiness To Change ◽  
Modern Society ◽  
Educational Activity ◽  
Interactive Methods ◽  
Professional Activity ◽  
Professional Mobility ◽  
Education Today ◽  
High Level ◽  
Education Process

Continuous education today is a major feature of modern society. In order to ensure the competitiveness of future professionals who obtain higher education within the walls of the Institutions of Higher Education, the education process should be aimed at ensuring a high level of professional knowledge as well as the formation of graduates' adaptability to changeable modern production.  Since for a future engineer knowledge of higher mathematics is the basis for solving complex problems of a production nature, it can be argued that they are part of professional mobility. The implementation of technologies for the formation of professional mobility in higher mathematics has made it possible to note that the readiness to change activities can be considered not only in the context of changing professional activity, but also in the process of students’ educational activity. And this, in turn, made it possible to determine the «mathematical mobility». The purpose of the article is to theoretically substantiate and practically test the methods of forming mathematical mobility of future engineers in higher mathematics classes. The experiment used competency-oriented tasks, test tasks in higher mathematics, built on the basis of Bloom's taxonomy, developed interactive methods for conducting practical classes in the process of studying higher mathematics. The results of the experiment showed the effectiveness of the proposed innovative technologies in the process of fundamental training of future engineers.  

scholarly journals Towards the best future for humankind: ZIPAR whitepaper.

2018 ◽  
Author(s):  
Marko Kovic ◽  
Christian Caspar ◽  
Adrian Rauchfleisch
Keyword(s):  
Medium Term ◽  
Short Term ◽  
Profound Impact ◽  
Future Challenges ◽  
The Way

Humankind is facing major challenges in the short-term, medium-term, and long-term future. Those challenges will have a profound impact on humankind’s future progress and wellbeing. In this whitepaper, we outline our understanding of humankind’s future challenges, and we describe the way in which we work towards identifying as well as managing them. In doing so, we pursue the overall goal of ZIPAR: We want to make the best future for humankind (ever so slightly) more probable.

scholarly journals Intralymphatic immunotherapy for allergic rhinoconjunctivitis: a systematic review and meta-analysis

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
M.P. Hoang ◽  
K. Seresirikachorn ◽  
W. Chitsuthipakorn ◽  
K. Snidvongs
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Specific Ige ◽  
Allergic Rhinoconjunctivitis ◽  
Medium Term ◽  
Short Term ◽  
Intralymphatic Immunotherapy ◽  
Specific Igg4 ◽  
Igg4 Level

BACKGROUND: Intralymphatic immunotherapy (ILIT) is a new route of allergen-specific immunotherapy. Data confirming its effect is restricted to a small number of studies. METHODOLOGY: A systematic review with meta-analysis was conducted. The short-term (less than 24 weeks), medium-term (24-52 weeks), and long-term (more than 52 weeks) effects of ILIT in patients with allergic rhinoconjunctivitis (ARC) were assessed. The outcomes were combined symptom and medication scores (CSMS), symptoms visual analog scale (VAS), disease-specific quality of life (QOL), specific IgG4 level, specific IgE level, and adverse events. RESULTS: Eleven randomized controlled trials and 2 cohorts (483 participants) were included. Compared with placebo, short term benefits of ILIT for seasonal ARC improved CSMS, improved VAS and increased specific IgG4 level but did not change QOL or specific IgE level. Medium-term effect improved VAS. Data on the long-term benefit of ILIT remain unavailable and require longer term follow-up studies. There were no clinical benefits of ILIT for perennial ARC. ILIT was safe and well-tolerated. CONCLUSION: ILIT showed short-term benefits for seasonal ARC. The sustained effects of ILIT were inconclusive. It was well tolerated.

scholarly journals BULUILDING CONTENT TRAINING TECHNOLOGIES OF PREPARING FUTURE SPECIALISTS FOR THE IMPLEMENTATION OF HEALTHCARE SAVING TECHNOLOGIES

2020 ◽  
pp. 65-69
Author(s):  
I. Usatova ◽  
V. Tkachenko ◽  
A. Vedmediuk
Keyword(s):  
Higher Education ◽  
Professional Education ◽  
Professional Training ◽  
Higher Education Institutions ◽  
Educational Institution ◽  
Educational Activity ◽  
Professional Activity ◽  
The Future ◽  
Effective Use ◽  
New Formation

In the article on the basis of scientific and pedagogical sources the ways of perfection of the system of professional education with the purpose of preparing the future specialist for the practical realization of the idea of health saving of the nation at all stages of educational activity are analyzed and solved; the general structure of the system of quality assurance of education at the higher educational institution level is substantiated; determined the effective use of didactic principles; new approaches to the development of content, forms and methods of professional training of specialists in the new formation; the content of professional training of future specialists is investigated, covering the set of knowledge, skills and abilities, possession of which enables to work for the chosen type of profession; The set of principles, functions and factors that influence the content of the training is outlined in the curricula and programs of higher education institutions. An analysis of the structure of training of future specialists in higher education institutions is presented, which predicts mastery of a complex of professional and personal components of a future specialist. The peculiarities of preparation of future specialists for the implementation of health-saving technologies in the educational programs offered by educational establishments have been clarified. Types of variety of industrial and research practices are shown, forms and methods of teaching are named. The content of the professional training of future specialists is characterized, the prerequisites for creating the concept of forming the future specialists' willingness to carry out innovative activity are outlined; conditions of effective use of health-saving technologies are formulated, essential characteristics and stages of preparation of future specialists in educational establishments are explained; The basic provisions are substantiated, the observance of which ensures the training of new formation specialists for the implementation of health-saving technologies. It is noted that the capacity for self-organization is the basis of successful professional activity of the future specialist and the educational disciplines of the programs of preparation of domestic higher education institutions are observed, the study of which contributes to the formation of the competence of selforganization. The essence of the problem under consideration and the technology of its solution are revealed.

scholarly journals A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index

2021 ◽  
Vol 9 (4) ◽  
pp. 399-420
Author(s):  
Weiguo Chen ◽  
Shufen Zhou ◽  
Yin Zhang ◽  
Yi Sun
Keyword(s):  
Stock Price ◽  
Composite Index ◽  
Investor Sentiment ◽  
Stock Index ◽  
Financial Industry ◽  
Medium Term ◽  
Short Term ◽  
Frequency Components ◽  
Original Scale

Abstract According to behavioral finance theory, investor sentiment generally exists in investors’ trading activities and influences financial market. In order to investigate the interaction between investor sentiment and stock market as well as financial industry, this study decomposed investor sentiment, stock price index and SWS index of financial industry into IMF components at different scales by using BEMD algorithm. Moreover, the fluctuation characteristics of time series at different time scales were extracted, and the IMF components were reconstructed into short-term high-frequency components, medium-term important event low-frequency components and long-term trend components. The short-term interaction between investor sentiment and Shanghai Composite Index, Shenzhen Component Index and financial industries represented by SWS index was investigated based on the spillover index. The time difference correlation coefficient was employed to determine the medium-term and long-term correlation among variables. Results demonstrate that investor sentiment has a strong correlation with Shanghai Composite Index, Shenzhen Component Index and different financial industries represented by SWS index at the original scale, and the change of investor sentiment is mainly influenced by external market information. The interaction between most markets at the short-term scale is weaker than that at the original scale. Investor sentiment is more significantly correlated with SWS Bond, SWS Diversified Finance and Shanghai Composite Index at the long-term scale than that at the medium-term scale.

The Evolving Knowledge Cities

2014 ◽  
pp. 114-129
Author(s):  
Mohammad Ayub Khan
Keyword(s):  
Higher Education ◽  
Social Economic ◽  
Institutions Of Higher Education ◽  
Academic Institutions ◽  
Short Term ◽  
The World ◽  
The Future ◽  
Potential Benefits

This chapter discusses the emerging models of knowledge cities in many countries of the world and the potential challenges posed by them for the existing as well as the future academic institutions of higher education (universities) in those countries in particular and in the in world in general. Specifically, this chapter is dedicated to the study of various issues and themes that concern the evolving knowledge cities such as the long-term and short-term objectives behind the establishment of knowledge cities and their potential benefits (i.e., social, economic, financial, environmental, and knowledge) for their societies. The chapter concludes that the development of knowledge cities are beneficial for all stakeholders including the academic institutions of higher education that directly or indirectly associated with such programs.

Conclusion

2019 ◽  
pp. 184-193
Author(s):  
Charlotte Baker ◽  
Rebecca J. Blankenship
Keyword(s):  
Higher Education ◽  
Teaching And Learning ◽  
Colleges And Universities ◽  
Learning Culture ◽  
Digital Transformation ◽  
Short Term ◽  
Higher Education Teaching

In this summary, authors Charlotte Baker and Rebecca Blankenship provide an overview of the cases and their impact on the overall DLI initiative. They also explore similar initiatives at other colleges and universities and how these technical transformations are changing the higher education teaching and learning culture. The authors examine the DLI in terms of other short-term, mid-term, and long-term goals as noted in the 2019 Horizon Report and how the DLI initiative can be used as a vehicle to actuate an ongoing culture of innovation and digital transformation in colleges and universities across the country.

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