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Wyświetlanie 1-15 z 32
Tytuł:
The Big Five and Burnout among Teachers: the Moderating and Mediating Role of Self-Efficacy
Autorzy:
Zawadzka, Agnieszka Sylwia
Kościelniak, Maciej
Zalewska, Anna Maria
Powiązania:
https://bibliotekanauki.pl/articles/2127389.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
big five
burnout
teachers
self-efficacy
Opis:
The aim of this study was to analyze the relationship between Big-Five personality traits, perceived self-efficacy (GSES) and dimensions of occupational burnout in accordance with Christina Maslach’s three-factor burnout model (emotional burnout, depersonalization, perceived lack of own accomplishments). Data collected among 271 teachers (82% female) aged 20–68 confirmed findings from previous research that four personality traits (Neuroticism, Extraversion, Agreeableness, Conscientiousness) are correlated with burnout and that they are significant predictors for all dimensions of burnout. In addition, it was shown that GSES plays a moderating role as a buffer that protects people with high levels of neuroticism from a sense of lack of own accomplishments. It was also found that GSES plays a mediating role for the relationship between Extraversion, Conscientiousness and Neuroticism and perceived lack of own accomplishments and that it is a suppressor for the relationship of neuroticism with emotional exhaustion. The results are discussed in the context of personality theories and their possible applications.
Źródło:
Polish Psychological Bulletin; 2018, 49, 2; 149-157
0079-2993
Pojawia się w:
Polish Psychological Bulletin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
What Makes a Successful Scientist in a Central Bank? Evidence From the RePEc Database
Autorzy:
Rybacki, Jakub
Serwa, Dobromił
Powiązania:
https://bibliotekanauki.pl/articles/2075362.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
RePEc
scientific success
h-index
big data
Opis:
This research analyzes factors affecting the scientific success of central bankers. We combine data from the RePEc and EDIRC databases, which contain information about economic publications of authors from 182 central banks. We construct a dataset containing information about 3312 authors and almost 80,000 scientific papers published between 1965 and 2020. The results from Poisson regressions of citation impact measure (called the h-index) on a number of research features suggest that economists from the U.S. Federal Reserve Banks, international financial institutions, and some eurozone central banks are cited more frequently than economists with similar characteristics from central banks located in emerging markets. Researchers from some big emerging economies like Russia or Indonesia are cited particularly infrequently by the scientific community. Beyond these outcomes, we identify a significant positive relationship between research networking and publication success. Moreover, economists cooperating with highly cited scientists also obtain a high number of citations even after controlling for the size of their research networks
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2021, 3; 331-357
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the Value of Data and the Potential of Artificial Intelligence: Reports From the 8th Big Data and AI Congress, April 18–19, 2018
Autorzy:
Żulicki, Remigiusz
Powiązania:
https://bibliotekanauki.pl/articles/781907.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
big data
data-driven business
artificial intelligence
critical data studies
data-driven biznes
sztuczna inteligencja
big data - ujęcie krytyczne
Opis:
The author claims that due to the effectiveness and multiplicity of potential uses for databases (for instance, for “big data,” artificial intelligence) the business world is taking an almost incredible interest in their implementation. One proof is the momentum of the eighth edition of the Big Data & AI Congress. This text reports on that Warsaw conference. The author first presents the emotions that were obvious during the course of the event-the enthusiasm and expectations of business in regard to this kind of technology-and then points out and characterizes, with the eye of a sociologist, the areas of the subject left unaddressed. These are the manifold social consequences of the use and development of big data or so-called artificial intelligence, that is, the growth of income inequality at the same time as the outwardly positive growth in general incomes, the preservation of mechanisms of exclusion and discrimination, and the treatment of large groups of users as objects through applications based on data analysis.
Źródło:
Kultura i Społeczeństwo; 2019, 63, 1; 221-233
2300-195X
Pojawia się w:
Kultura i Społeczeństwo
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rola wielkich miast w rozwoju społeczno-gospodarczym Polski– poznańskie refleksje
The Role of Big Cities in Social and Economic Development of Poland – Poznań Reflections
Autorzy:
Churski, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/2021352.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
agglomerations
big cities
Poznań
regional development
regional policy
Źródło:
Studia komitetu przestrzennego zagospodarowania kraju PAN; 2018, 186; 129-143
0079-3507
Pojawia się w:
Studia komitetu przestrzennego zagospodarowania kraju PAN
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integration of Remote Sensing Data in a Cloud Computing Environment
Autorzy:
Sabri, Yassine
Bahja, Fadoua
Pet, Henk
Powiązania:
https://bibliotekanauki.pl/articles/2055265.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
remote sensing
data integration
cloud computing
big data
Opis:
With the rapid development of remote sensing technology, our ability to obtain remote sensing data has been improved to an unprecedented level. We have entered an era of big data. Remote sensing data clear showing the characteristics of Big Data such as hyper spectral, high spatial resolution, and high time resolution, thus, resulting in a significant increase in the volume, variety, velocity and veracity of data. This paper proposes a feature supporting, salable, and efficient data cube for time-series analysis application, and used the spatial feature data and remote sensing data for comparative study of the water cover and vegetation change. In this system, the feature data cube building and distributed executor engine are critical in supporting large spatiotemporal RS data analysis with spatial features. The feature translation ensures that the geographic object can be combined with satellite data to build a feature data cube for analysis. Constructing a distributed executed engine based on dask ensures the efficient analysis of large-scale RS data. This work could provide a convenient and efficient multidimensional data services for many remote sensing applications.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 1; 167--172
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Possibility of gradual rips of the Universe structures
Autorzy:
Jacyna-Onyszkiewicz, Zbigniew
Powiązania:
https://bibliotekanauki.pl/articles/703390.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Universe
dark energy
quintessence
phantom dark energy
big rip
Opis:
According to a recently published data obtained by the space probe WMAP, as much as 72% of the Universe energy density is the dark energy of the state equation parameter w from – 1.29 to – 0.75. The dark energy of w < – 1 has been named the phantom dark energy as this value w implies the breaking of the Universe structures in a finite time tR. The phantom dark energy rips apart the Milky Way, the solar system, the Earth and ultimately the molecules and atoms of which we are composed, before the time tR.
Źródło:
Nauka; 2009, 2
1231-8515
Pojawia się w:
Nauka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Smart e-Learning Systems with Big Data
Autorzy:
Caviglione, L.
Coccoli, M.
Powiązania:
https://bibliotekanauki.pl/articles/226537.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
e-learning
Internet of Things
Smart Cities
big data
Opis:
Nowadays, the Internet connects people, multimedia and physical objects leading to a new-wave of services. This includes learning applications, which require to manage huge and mixed volumes of information coming from Web and social media, smart-cities and Internet of Things nodes. Unfortunately, designing smart e-learning systems able to take advantage of such a complex technological space raises different challenges. In this perspective, this paper introduces a reference architecture for the development of future and big-data-capable e-learning platforms. Also, it showcases how data can be used to enrich the learning process.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 4; 445-450
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on operation fault diagnosis algorithm of power grid equipment based on power big data
Autorzy:
Qian, Jianguo
Zhu, Bingquan
Li, Ying
Shi, Zhengchai
Powiązania:
https://bibliotekanauki.pl/articles/949910.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
association rules
big data
data mining
fault diagnosis
grid equipment
Opis:
Power big data contains a lot of information related to equipment fault. The analysis and processing of power big data can realize fault diagnosis. This study mainly analyzed the application of association rules in power big data processing. Firstly, the association rules and the Apriori algorithm were introduced. Then, aiming at the shortage of the Apriori algorithm, an IM-Apriori algorithm was designed, and a simulation experiment was carried out. The results showed that the IM-Apriori algorithm had a significant advantage over the Apriori algorithm in the running time. When the number of transactions was 100 000, the running of the IM-Apriori algorithm was 38.42% faster than that of the Apriori algorithm. The IM-Apriori algorithm was little affected by the value of supportmin. Compared with the Extreme Learning Machine (ELM), the IM-Apriori algorithm had better accuracy. The experimental results show the effectiveness of the IM-Apriori algorithm in fault diagnosis, and it can be further promoted and applied in power grid equipment.
Źródło:
Archives of Electrical Engineering; 2020, 69, 4; 793-800
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big-Five and Subjective Well-Being: The mediating role of Individualism or Collectivism beliefs and the moderating role of life periods
Autorzy:
Zalewska, Anna M.
Powiązania:
https://bibliotekanauki.pl/articles/2127311.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
personality
Big-Five
horizontal and vertical individualism or collectivism
happiness
Opis:
Subjective Well-Being is related to the Big-Five and to Individualistic and Collectivistic beliefs of Polish adolescents. In the present study, we examined whether Individualism and Collectivism beliefs mediate between the Big-Five and Subjective Well-being among adolescents, young and middle-aged adults. Adolescents (N = 174, 36% men, aged 14–18), young (N = 254, 45% men, aged 19–24) and middle-aged adults (N = 252, 54% men, aged 40–55) completed the NEO-FFI, the Ind-Col20, and measures of Subjective Well-being. The three groups differed on all dimensions. Adolescents reported the highest Neuroticism, the lowest Agreeableness, Conscientiousness, the highest Individualism and Collectivism beliefs and lowest SWB. Among adolescents, SEM analyses indicated that Subjective Well-being was negatively related to Neuroticism and Agreeableness, positively to Extraversion, Conscientiousness, Horizontal Individualism, Horizontal and Vertical Collectivism. Among young and middle-aged adults Subjective Well-being was negatively related to Neuroticism and Horizontal Collectivism, positively to Openness, Conscientiousness, Horizontal and Vertical Individualism. Beliefs partially mediated the effects of traits. Relationships were different for cognitive and affective Subjective Well-being indices.
Źródło:
Polish Psychological Bulletin; 2018, 49, 2; 166-183
0079-2993
Pojawia się w:
Polish Psychological Bulletin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Atrakcyjność migracyjna wielkich miast – stan obecny
Autorzy:
Kałuża-Kopias, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/473558.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
demografia
migracje wewnętrzne
wielkie miasta
demography
internal migration
the big city
Opis:
W historii rozwoju wielkich miast migracje ludności miały kluczowe znaczenie. Dysproporcja atrakcyjności migracyjnej polegająca na tym, że, miasta duże charakteryzowały się dodatnim saldem migracji w stosunku do miast mniejszych, jak również obszarów wiejskich, utrzymywała się aż do początku transformacji systemowej. Z dekady na dekadę udział napływu ludności na wieś, w relacji do odpływu, wzrastał najszybciej w wielkich miastach. Celem niniejszego opracowania jest próba przedstawienia zróżnicowania największych miast w Polsce pod względem obecnych i przyszłych, zakładanych w prognozie GUS z 2008 r., efektów migracji (sald migracji). Do analizy wybranych zostało pięć największych miast polskich (Warszawa, Kraków, Łódź, Wrocław i Poznań). Aby w sposób pełny pokazać zróżnicowanie zjawiska migracji wewnętrznych w badanych miastach, analizę uzupełniono o wskaźnik atrakcyjności migracyjnej. Jako miernik atrakcyjności migracyjnej przyjęto wskaźnik przedstawiający relację salda migracji do obrotu migracyjnego.
The goal of this paper is an attempt to present the diversity in the current and prognosed migration effects (migration balance) in the biggest Polish cities. Five biggest Polish cities (Warszawa, Kraków, Łódź, Wrocław i Poznań) are covered by the study. The analysis of the index of cities’ migration attractiveness presented in the study allows to get the more detailed picture of the mechanisms of internal migration.
Źródło:
Problemy Polityki Społecznej. Studia i Dyskusje; 2014, 27(4)/2014; 41-54
1640-1808
Pojawia się w:
Problemy Polityki Społecznej. Studia i Dyskusje
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementation of Industry 4.0 Techniques in Lean Production Technology: A Literature Review
Autorzy:
Lucantoni, Laura
Antomarioni, Sara
Ciarapica, Filippo Emanuele
Bevilacqua, Maurizio
Powiązania:
https://bibliotekanauki.pl/articles/2172180.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
industry 4.0
lean management
total productive maintenance
big data analytics
VOSviewer
Opis:
Lean thinking and Industry 4.0 have been broadly investigated in recent years in intelligent manufacturing. Lean Production is still one of the most efficient industrial solutions in business and research, despite being implemented for a long time. On the other hand, Industry 4.0 has been introduced referring to the fourth industrial revolution. This study aims to analyze the combination of both Industry 4.0 and Lean production practices through a systematic literature review from a Lean Automation perspective. In this field, 189 articles are examined using VOSviewer for cluster analysis. Then, a more detailed analysis is provided to explore how Industry 4.0 and Lean techniques are integrated from a practical perspective. Results highlighted Big Data Analysis and Value Stream Mapping as the most common techniques, also emphasizing a growing trend toward new publications. Nevertheless, few practical applications are identified in the literature highlighting six gaps in the correlation of LA practices.
Źródło:
Management and Production Engineering Review; 2022, 13, 3; 83--93
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Weak RSA Key Discovery on GPGPU
Autorzy:
Russek, Paweł
Karbownik, Przemysław
Wiatr, Kazimierz
Powiązania:
https://bibliotekanauki.pl/articles/226647.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
cryptography
internet security
intrusion prevention
accelerated computing
caching methods
big numbers computing
Opis:
We address one of the weaknesses of the RSA ciphering systems \textit{i.e.} the existence of the private keys that are relatively easy to compromise by the attacker. The problem can be mitigated by the Internet services providers, but it requires some computational effort. We propose the proof of concept of the GPGPU-accelerated system that can help detect and eliminate users' weak keys. We have proposed the algorithms and developed the GPU-optimised program code that is now publicly available and substantially outperforms the tested CPU processor. The source code of the OpenSSL library was adapted for GPGPU, and the resulting code can perform both on the GPU and CPU processors. Additionally, we present the solution how to map a triangular grid into the GPU rectangular grid \textendash{} the basic dilemma in many problems that concern pair-wise analysis for the set of elements. Also, the comparison of two data caching methods on GPGPU leads to the interesting general conclusions. We present the results of the experiments of the performance analysis of the selected algorithms for the various RSA key length, configurations of GPU grid, and size of the tested key set.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 1; 25-31
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Potencjał Big Data w badaniach społecznych
The Potential of Big Data in Social Research
Autorzy:
Żulicki, Remigiusz
Powiązania:
https://bibliotekanauki.pl/articles/427231.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Big Data
epistemologia
metody badań społecznych
społeczeństwo informacyjne
research methodology
information society
epistemology
Opis:
Problematykę podjęto z powodu epistemologicznych „obietnic”, pojawiających się wśród entuzjastów Big Data. Przedyskutowano możliwości wykorzystania Big Data jako metody czy techniki badań społecznych. Krytycznej ocenie poddano wspomniane „obietnice” oraz popularne w środowisku Big Data hasła o śmierci ekspertów. Wnioski dotyczą szans i zagrożeń poznawczych, szczególnie w naukach społecznych. Uznano, że stosowanie Big Data może być narzędziem poznania świata w różnych dziedzinach życia. Niezbędne jest jednak podejście sceptyczne. Dla socjologów poznawanie samego zjawiska przedstawiono jako cenne dla rozumienia społeczeństwa informacyjnego. Wskazano także możliwy kierunek przyszłych badań Big Data.
The problem was taken up by the epistemological promises emerging among the Big Data enthusiasts. There have been discussions about the use of Big Data as a method or a technique for social research. Also, the promises mentioned above and the common ‘the end of experts’ slogan were criticised. Conclusions concern cognitive opportunities and risks, especially in the social sciences. It was considered that Big Data could be known as a knowledge acquisition tool. However, a strong skeptical approach is necessary. For sociologists, exploring the phenomenon itself is valuable for understanding the information society. The possible direction of future Big Data research is also indicated.
Źródło:
Studia Socjologiczne; 2017, 3(226); 175-207
0039-3371
Pojawia się w:
Studia Socjologiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Positive Orientation and the Five-Factor Model
Autorzy:
Miciuk, Łukasz Roland
Jankowski, Tomasz
Laskowska, Agnieszka
Oleś, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/430586.pdf
Data publikacji:
2016-04-01
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
positive orientation
Five-Factor Model
Big Five
optimism
self-esteem
satisfaction with life
Opis:
The aim of the present study was to investigate the relationship between positive orientation (PO) defined as a basic predisposition to perceive and evaluate positive aspects of life, the future and oneself and the Five-Factor Model of personality (FFM). Hypotheses postulated positive correlations between PO and extraversion, conscientiousness, agreeableness and openness; a negative correlation was predicted between PO and neuroticism. Two hundred Polish students completed the following measures: SES (Self-Esteem Scale, Rosenberg), SWLS (The Satisfaction with Life Scale; Diener, Emmons, Larson & Griffin), LOT-R (The Life Orientation Test - Revised; Scheier, Carver & Bridges) and NEOFFI (NEO Five Factor Inventory, Costa & McCrae). The results confirmed correlations between PO and extraversion, conscientiousness, and neuroticism; correlations with openness and agreeableness were not supported. According to canonical correlations, PO shows a clear affinity to the FFM.
Źródło:
Polish Psychological Bulletin; 2016, 47, 1; 141-148
0079-2993
Pojawia się w:
Polish Psychological Bulletin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big data-driven framework for viral churn prevention: a case study
Autorzy:
Lucantoni, Laura
Antomarioni, Sara
Bevilacqua, Maurizio
Ciarapica, Filippo E.
Powiązania:
https://bibliotekanauki.pl/articles/406954.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Big Data Analytics
Machine Learning
Probability Estimation Trees
Customer Value Management
ICT sector
Opis:
The application of churn prevention represents an important step for mobile communication companies aiming at increasing customer loyalty. In a machine learning perspective, Customer Value Management departments require automated methods and processes to create marketing campaigns able to identify the most appropriate churn prevention approach. Moving towards a big data-driven environment, a deeper understanding of data provided by churn processes and client operations is needed. In this context, a procedure aiming at reducing the number of churners by planning a customized marketing campaign is deployed through a data-driven approach. Decision Tree methodology is applied to drow up a list of clients with churn propensity: in this way, customer analysis is detailed, as well as the development of a marketing campaign, integrating the individual churn model with viral churn perspective. The first step of the proposed procedure requires the evaluation of churn probability for each customer, based on the influence of his social links. Then, the customer profiling is performed considering (a) individual variables, (b) variables describing customer-company interactions, (c) external variables. The main contribution of this work is the development of a versatile procedure for viral churn prevention, applying Decision Tree techniques in the telecommunication sector, and integrating a direct campaign from the Customer Value Management marketing department to each customer with significant churn risk. A case study of a mobile communication company is also presented to explain the proposed procedure, as well as to analyze its real performance and results.
Źródło:
Management and Production Engineering Review; 2020, 11, 3; 38-47
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 32

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