The current data of research "Peripheral members create and core members support: Role comparison of different positions in cooperation network during creative behaviour cooperation"
The file included two parts: the data used to draw the figures and the raw data of the current analysis.
The description of the raw data can be found in the "Description.txt" file in every folder.
Research Hypothesis - That cannabis may predispose to COVID-19 viral infection due to its immunomodulatory, envorinmental contaminants, vaping and smoking inhalation actions.
Data was analyzed by geospatial and causal inference techniques in R.
Data was gathered from publicly available on line sources including:
Data were downloaded from Publicly available datasets including:
• US Census bureau 2019
• Five Year American Community Survey 2013-2018
• National Survey of Drug Use and Health (NSDUH)
• NSDUH Resticted Use Data Analysis System (RDAS)
• US Department of Transport International Flight Data
• Worldometer Covid -19 Dataset
Data were collected in the six domains of:
• COVID numbers
• Fights – numbers of flights and numbers of overseas destionations
• Median household income
• State ethnic composition
• Population and population density
• Drug use
Inverse probability weights were constructed by inverse probability weighting conducted in package ipw in R.
Geospatial weights were constructed in package spdep in R.
Data acquired from an online survey, conducted from 5-20 May 2020. This data aimed to evaluate psychological wellbeing among Greater Jakarta Area residents using DASS-21, where we implemented linear regression to estimate such score using sociodemographic data. We also addressed misconception regarding COVID-19 and estimate correct / incorrect responses using Poisson regression models. Finally, we confirm the presence of communities with different commuting tendency using a graph-based analysis.
The advance of the agrarian frontier constitutes Nicaragua’s biggest environmental challenge as the major cause of complex processes of ecosystems degradation. I use the ESA-CCI land cover maps dataset and the UNCCD land cover classes (UNCCD-LC) to estimate its geospatial trend in terms of land cover changes at the country-level and the areas encompassing Bosawas and Río San Juan biosphere reserves from 1992 to 2015.
The ESA-CCI land cover maps generated at 300 m spatial resolution on an annual basis from 1992 to 2015 in TIF format (raster layers) were collected from the official website of the ESA-CCI (https://www.esa-landcover-cci.org/). The coordinate reference system of the maps is a geographic coordinate system based on the World Geodetic System 84 (WGS84) reference ellipsoid. The processing of the geospatial data was carried out using QGIS. The 36 ESA-CCI land cover classes (ESA-CCI-LC) were re-classified to the 7 UNCCD-LC (i.e., tree-covered, grassland, cropland, wetland, artificial, other land, and water body). The global-level maps were clipped to the country-level (Nicaragua) using the vector layers in SHP format collected from the official website of GADM (https://gadm.org/), and at the biosphere reserve-level (Bosawas y Río San Juan) using the vector layers in SHP format collected from the official website of Protected Planet (https://www.protectedplanet.net/). A pixel count approach was used to estimate each UNCCD-LC area. STATA was used to calculate UNCCD-LC area estimates in squared kilometers, each pixel counting for 300 m x 300 m which is the ESA-CCI land cover maps spatial resolution.
At the country-level, the analysis covered 124,552.2 km2. The total area might include land and water bodies. At the biosphere reserve-level, the analysis covered 19,548.2 km2 for Bosawas and 17,524.9 km2 for Río San Juan. In Basawas biosphere reserve, 41% (8,030.3 km2) of the total area belongs to core areas, whereas 69% (11,548.9 km2) to the buffer zone. In Río San Juan biosphere reserve, 48% (7,525.3 km2) of the total area belongs to core areas, whereas 52% (10,170.2 km2) to the buffer zone. The research finds that Nicaragua’s agrarian frontier has shown a remarkably strong advance during the last two decades, particularly from 1995 to 2007. The underlying land transition process has mainly implied the transformation of tree-covered into cropland or grassland areas. This process has also penetrated legally designated protected areas such as Bosawas and Río San Juan biosphere reserves.
Background: Aging and retirement are a passaging to a new course of life for veterans. Population aging has made significant changes in the composition of families and it affects the health of the family members. The role of army grandparents in relationships with their adult children is important in providing for their living needs and the need for research into grandparent-adult children interactions during retirement. There was no Iranian version of an instrument to measure this interaction. Therefore, the study was aimed to evaluate the psychometric properties of the Persian version of the Perceived Parenting Roles Inventory (PPRI-2019). Methods. The process of translating was conducted based on WHO’s guidance of instruments translation and adaptation. A total of 251 grandparents were randomly selected from Iranian Veterans Association. The PPRI and demographic questionnaire were used to gather data at the end of 2019. The scale structure was evaluated by using confirmatory factor analysis (CFA). Internal consistency was assessed by Cronbach’s alpha and the optimal cut-off points were obtained by calculating the area under the curve (ROC). Data were analyzed using IBM-SPSS version 26 and AMOS version 24
Results: The construct validity of PPRI based on CFA showed that the two subscales explained a total of 73.017 % of the variance. The PPRI scale demonstrated excellent reliability and the Cronbach’s alpha obtained 0.792 for the entire scale (p< 0.000). The optimal cut-off point of PPRI was 19.50, with a sensitivity of 100%, a 1-specificity of 0.127. Conclusions: Based on the results, the Persian version of PPRI is a valid and reliable tool that can be utilized by other researchers to measure perceived parenting roles. But further investigations are suggested.
Icequakes, micro-seismicity caused by glacier deformation and motion, provide important information to study glacier dynamics and its responses to environmental changes at various temporal and spatial scales. In this study, we apply a multi-dimensional autoregressive maximum-likelihood algorithm to obtain 12 icequake templates on the Urumqi Glacier No. 1, China, and detect 65,363 icequakes through template matching. Centroid location of the 12 templates indicate that most icequakes are caused by surface crevasses inside the glacier, which are characterized by dominant surface waves. The icequakes show seasonal variation with more events in summer because of faster ice flow due to high temperature and precipitation. In winter, however, the icequakes, on par with those in summer, suggest considerable glacier growth in cold weather. Because of higher ice flow velocity due to low tide, the number of icequakes has two daily peaks which seems to negatively correlate with semi-diurnal solid tide.