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Wyszukujesz frazę "Temporal Distance" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Temporal Self-Extension: Implications for Temporal Comparison and Autobiographical Memory
Autorzy:
Grabowski, Adam
Broemer, Philip
Powiązania:
https://bibliotekanauki.pl/articles/430457.pdf
Data publikacji:
2015-06-01
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Temporal Comparison
Self
Temporal Distance
Visual Perspectives
Opis:
Research on temporal comparison has shown that people dissociate themselves from their past to attain a positive self view. Social comparison research has demonstrated that the distinctness of contextually activated information determines whether a recalled self exerts assimilation or contrast effects on the current self. However, hardly any study addressed individual differences. Also, very little is known about whether the ease or difficulty to date past events and experiences influences current self-judgments. We present a new scale capturing the degree of the current self time extension. Three studies support the notion that temporal self-extension determines how past selves are accessed and processed, regarding both the abstractness with which self-knowledge is retrieved and the experienced temporal distance to the past. These findings have important implications for temporal as well as social comparison processes.
Źródło:
Polish Psychological Bulletin; 2015, 46, 2; 246-261
0079-2993
Pojawia się w:
Polish Psychological Bulletin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Distribution Patterns of Ambient Air Quality Pre- and During Pandemic in the Urban Area of Yogyakarta, Indonesia
Autorzy:
Brontowiyono, Widodo
Sihayuardhi, Ergiansyah Reezqiana
Maziya, Fina Binazir
Hakim, Luqman
Powiązania:
https://bibliotekanauki.pl/articles/2202179.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
ambient air quality
spatio-temporal distribution
inverse distance weight
urban
Opis:
This study identified the spatial distribution pattern of the ambient air quality in the Yogyakarta Urban Area. It was performed to determine the distribution pattern of SO2, CO, and NO2 concentrations for 2016–2019 (pre-pandemic) and 2020 (during pandemic). Furthermore, the spatial analysis was performed using the Inverse Distance Weighting interpolation method. This study proved that spatial modeling using this method has good accuracy, and it is easier to map the distribution pattern of ambient air quality. In 2020, most of the locations met the quality standard (62.64%). As a result, the SO2 and CO parameters immediately showed that most conditions are satisfactory. In 2016, the SO2 parameters met the quality standards at 74.24% of locations. In 2020, the number increased to 85.71%. In addition, the CO parameter reached the quality standard at 81.82% of locations in 2016 and a perfect level of 100% in 2020. This occurred due to the effects of the COVID-19 pandemic because most human and business activities decreased drastically. Therefore, all studies can be used as the basis for air quality modeling and post-COVID-19 predictions. This study is also important as a policy material in the monitoring and management system of ambient air quality in urban areas.
Źródło:
Journal of Ecological Engineering; 2022, 23, 10; 116--128
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial and temporal assessment of surface water quality using water quality index The Saguling Reservoir, Indonesia
Autorzy:
Marselina, Mariana
Sabar, Arwin
Fahimah, Nurul
Powiązania:
https://bibliotekanauki.pl/articles/1844302.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
inverse distance weight
spatial and temporal assessment
surface water
water quality index
Opis:
Developments in agriculture, industry, and urban life have caused the deterioration of water resources, such as rivers and reservoirs in terms of their quality and quantity. This includes the Saguling Reservoir located in the Citarum Basin, Indonesia. A review of previous studies reveals that the water quality index (WQI) is efficient for the identification of pollution sources, as well as for the understanding of temporal and spatial variations in reservoir water quality. The NSFWQI (The National Sanitation Foundation water quality index) is one of WQI calculation methods. The NSFWQI is commonly used as an indicator of surface water quality. It is based on nitrate, phosphate, turbidity, temperature, faecal coliform, pH, DO, TDS, and BOD. The average NSFWQI has been 48.42 during a dry year, 43.97 during a normal year, and 45.82 during a wet year. The WQI helped to classify water quality in the Saguling Reservoir as “bad”. This study reveals that the strongest and most significant correlation between the parameter concentration and the WQI is the turbidity concentration, for which the coefficient correlation is 0.821 in a dry year, and faecal coli, for which the coefficient correlation is 0.729 in a dry year. Both parameters can be used to calculate the WQI. The research also included a nitrate concentration distribution analysis around the Saguling Reservoir using the Inverse Distance Weighted method.
Źródło:
Journal of Water and Land Development; 2021, 49; 111-120
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Temporal alarm pattern discovery in mobile telecommunication networks based on binary series analysis
Autorzy:
Mazdziarz, A.
Powiązania:
https://bibliotekanauki.pl/articles/205702.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
mobile telecommunication network
fault diagnosis
root cause analysis
Dice similarity coefficients
Hamming distance
temporal pattern mining
Opis:
Highly-advanced systems, such as mobile telecommunication networks, characterized by increased complexity, make maintenance routines difficult. Amount of data to be analyzed in a short time during fault diagnosis of the mobile telecommunication networks strongly justifies the need to automate alarm correlation and root cause analysis. A major challenge in the establishment of alarm correlation is to determine how to reflect the alarm flow inertia. Thus, adequate temporal alarm pattern discovery methods should be used in fault diagnosis for correlation-related purposes. Automatic temporal alarm pattern discovery allows fast generation of root cause analysis hypotheses and supports effective troubleshooting of network problems. The process for fault propagation throughout the network is manifested by the time lag between the root-cause alarm and potentially linked symptoms, as well as weakening correlation strength with time. The paper presents a novel method for alarm correlation analysis in mobile telecommunication networks, based on binary series analysis. The method allows for discovery of causal relationship between alarms with dynamic alarm correlation window size estimation.
Źródło:
Control and Cybernetics; 2018, 47, 2; 191-213
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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