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2022 ◽  
Vol 14 (2) ◽  
pp. 852
Author(s):  
Florin Teodor Boldeanu ◽  
José Antonio Clemente-Almendros ◽  
Ileana Tache ◽  
Luis Alberto Seguí-Amortegui

The electricity sector was negatively impacted by the coronavirus disease (COVID-19), with considerable declines in consumption in the initial phase. Investors were in turmoil, and stock prices for these companies plummeted. The aim of this paper is to demonstrate the significant negative influence of the pandemic on abnormal returns for the electricity sector, specifically for traditional and renewable companies and the influence of ESG scores, using the event study approach and multi-variate regressions. Our results show that the pandemic indeed had a negative impact on the electricity sector, with renewable electricity companies suffering a sharper decline than traditional ones. Moreover, we find that ESG pillar scores affected electricity companies differently and are sector-specific. For renewable electricity companies, the returns were positively influenced by the environmental ESG scores and negatively by governance ESG scores.


2022 ◽  
Vol 65 ◽  
pp. 191-215
Author(s):  
Ágnes Máté

The article aims to examine the initial phase of the marriage of Jan Zamoyski with Griseldis Báthory, the issue of change of the bride’s name, and the problems caused by the newlyweds’ difference of faith. Despite the plans of king Stephen and hetman Zamoyski, the young bride did not become a Catholic. Her upbringing by her Protestant mother and grandmother overrode the political interests of her Catholic male relatives.


Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 201
Author(s):  
Paolino Di Felice ◽  
Gaetanino Paolone ◽  
Romolo Paesani ◽  
Martina Marinelli

Model-Driven Engineering is largely recognized as the most powerful method for the design of complex software. This study deals with the automated archival of metadata about the content of UML class diagrams (a particularly relevant category of models) into a pre-existing repository. To define the structure of the repository, we started from the definition of a UML metamodel. From the latter, we derived the schema of the metadata repository. Then, a parser was developed that is responsible for extracting the useful information from the XMI file about class diagrams and enters it as metadata into the repository. The parser has been implemented as a Java web interface, while the metadata repository has been implemented as a PostgreSQL database based on the JSONB data type. The metadata repository is thought to support modelers in the initial phase of the process of the development of new models when looking for artifacts to start from. The schema of the metadata repository and the Java code of the parser are available from the authors.


2022 ◽  
Vol 8 (2) ◽  
pp. 127-136
Author(s):  
Rahmatia Susanti ◽  
S. Supriatna ◽  
R. Rokhmatulah ◽  
Masita Dwi Mandini Manessa ◽  
Aris Poniman ◽  
...  

The national primary always growth and increase in line with the increase in population, such as the rise of rice consumption in Indonesia.  Paddy productivity influenced by the physical condition of the land and the declining of those factors can detected from the environmental vulnerability parameters. Purpose of this study was to compile a spatial model of paddy productivity based on environmental vulnerability in each planting phase using the remote sensing and GIS technology approaches. This spatial model is compiled based on the results of the application of two models, namely spatial model of paddy planting phase and paddy productivity. The spatial model of paddy planting phase obtained from the analysis of vegetation index from Sentinel-2A imagery using the random forest classification model. The variables for building the spatial model of the paddy planting phase are a combination of NDVI vegetation index, EVI, SAVI, NDWI, and time variables. The overall accuracy of the paddy planting phase model is 0.92 which divides the paddy planting phase into the initial phase of planting, vegetative phase, generative phase, and fallow phase. The paddy productivity model obtained from environmental vulnerability analysis with GIS using the linear regression method. The variables used are environmental vulnerability variables which consist of hazards from floods, droughts, landslides, and rainfall. Estimation of paddy productivity based on the influence of environmental vulnerability has the best accuracy done at the vegetative phase of 0.63 and the generative phase of 0.61 while in the initial phase of planting cannot be used because it has a weak relationship with an accuracy of 0.35.


2021 ◽  
Author(s):  
Maria Teresa Anselmo Olinto ◽  
Anderson Garcez ◽  
Gabriel Brunelli ◽  
Flavio Anselmo Olinto ◽  
Marcos Fanton ◽  
...  

Introduction: Climate conditions may have influence on the transmission of COVID-19. Thus, this study aims to evaluate the impact of temperature and relative humidity on COVID-19 cases and deaths during the initial phase of the epidemic in Brazil. Methodology: This is an ecological study based on secondary data. Daily data on new COVID-19 cases and deaths and on climate indicators was collected from February 20th to April 18th, 2020 (n=59 days), for all state capital cities in Brazil and the Federal District (Brasilia). The studied climate indicators included mean temperature, temperature amplitude, mean relative humidity, relative humidity amplitude, and percentage of days with mean relative humidity less than or equal to 65%. Correlation and multiple linear regression analysis were performed for all cities and was also stratified by quintiles of the COVID-19 incidence rate. Results: Mean daily temperature was positively correlated with the number of days until the first COVID-19 case was reported. A lower mean relative humidity was correlated with lower number of cases and deaths in Brazil, especially when the relative humidity was less than or equal to 65%. Higher temperatures and humidity amplitudes were correlated with lower COVID-19 mortality. Additionally, after controlling for humidity, cumulative cases of COVID-19 were inversely associated with temperature in cities with mean temperatures less than 25.8 degrees Celsius. Conclusions: Our findings indicate that variations in temperature and humidity across the Brazilian territory may have influenced the spread of the novel coronavirus during the initial phase of the epidemic in the country.


2021 ◽  
Vol 7 (12) ◽  
pp. 119729-119742
Author(s):  
Artur Henrique Dias Silva ◽  
Silvana Lúcia dos Santos Medeiros ◽  
Silvana Lúcia dos Santos Medeiros
Keyword(s):  

2021 ◽  
Vol 9 ◽  
Author(s):  
Yanju Fu ◽  
Yao Jiang ◽  
Jiao Wang ◽  
Ziming Liu ◽  
Xingsheng Lu

Due to the warming climate, glacier retreat has left massive glacial tills in steep gullies; ice in the soil is prone to change phase resulting in the decrease of the ice strength and bonding of soil particles; collapse of thawing tills can lead to debris flows with disastrous consequences for geotechnical infrastructures. To improve our understanding of the mechanics of thawing glacial tills, we conducted unconsolidated–undrained direct shear tests on glacial tills from Tianmo gully on the southeastern Tibetan Plateau. Control specimens were not subjected to freeze–thaw action. A total of 648 specimens with three different dry densities, three initial water contents, and 18 thawing times were tested. Peak shear strength, peak stress to displacement ratio (0.857), and cohesion were the highest in frozen specimens. After a thawing time of 0.25 h, there was a marked decline in shear strength; maximum friction was 2.58, which was far below the value of cohesive strength. For thawing times of 0.25–4 h, peak strength varied little with thawing time, but cohesion decreased and internal friction angle increased with increasing thawing time. Our results indicate that thawing of the solid ice in the till during the initial phase of till thawing is the key control of peak till strength; the effect of ice on cohesion is greater during the initial phase of thawing and in loose tills. Moreover, frequent sediment recharge of gullies may be explained by the decrease of cohesion with increasing thawing time caused by short-term destruction of ice bonding.


2021 ◽  
Vol 29 (3-4) ◽  
pp. 218-240
Author(s):  
Ariadna Helena Ochnio

Abstract The article discusses the shortcomings of EU policy regarding cross-border asset recovery. The identified problem is a disjointed approach to the overlapping objectives of criminal proceedings: gathering evidence and securing assets for future confiscation. In the current EU legal framework, the process of recovery of assets, understood as a sequence of functionally related activities, lacks the continuity necessary to be effective. EU cross-border cooperation instruments in criminal matters do not meet the needs of this process, as they relate to separate investigative measures. Problems in this field have been indirectly reflected in the practice of Eurojust and the ejn. The article proposes a change in the perception of the initial phase of the asset recovery process, where the objectives of identifying and locating financial assets are combined with their provisional securing. This takes place under one mechanism of cross-border cooperation (an eio), prior to issuing a regular freeze or seizure order.


2021 ◽  
Author(s):  
Evren Morgul ◽  
Angeliki Kallitsoglou ◽  
Cecilia A. Essau

Abstract Background: The COVID-19 pandemic has had a profound effect on the mental health and wellbeing of children and young people. Culture can influence emotional and behavioural responses to the pandemic and its consequences, but research is primarily focused on single country experiences. The study examined differences in caregiver worry of infection and experience with the confinement during the initial lockdown and their impact on children’s internalising and externalising symptoms across two culturally different countries which were severely affected by the pandemic: UK and Turkey.Method: Participants were 1849 caregivers with children between 5 and 12 years old in the UK (n= 995) and Turkey (n = 854) who completed a 20 -min electronic survey on child and family wellbeing distributed via social networks during the initial phase of the COVID-19 lockdown (July and August 2020).Findings: Worry of infection was higher amongst caregivers in the Turkish sample and it independently predicted change in children’s internalising symptoms in the Turkish sample only. Caregivers in the Turkish sample reported more difficulty with family coexistence during the lockdown, but regressions analysis showed that difficulty with coexistence independently predicted change in children’s externalising and internalising symptoms before and during the lockdown in both samples. The study revealed cross-cultural differences in the predictors of change in children’s internalising and externalising symptoms before and during the initial national COVID-19 lockdown.


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