• Energy Research
• RU close
• EC close

Nail polish, in particular gel nail polish, is the most used cosmetic product. The components of the gel polish, which determine both toxicity and consumer color properties, are pigments. Zn-Al layered double hydroxides intercalated with anionic food dyes are promising pigments for use in gel polish. The parameters of the samples of Orange Yellow S-intercalated Zn-Al (Zn:Al=4:1 and Zn:Al=2:1) hydroxides synthesized at pH=8 and pH=11 were studied. The crystal structure of the samples was studied by X-ray phase analysis and thermogravimetry, and the pigment properties – by the method of measuring and calculating color characteristics in the CIELab and XYZ systems. The color characteristics of gel nail polish samples prepared using synthesized pigments were studied in a similar way. X-ray phase analysis and thermogravimetry showed that Zn-Al-Orange Yellow S pigments synthesized at both Zn:Al ratios and pH were layered double hydroxides with the α-Zn(OH) 2 structure. The phenomenon of the decomposition of Zn-Al LDH to ZnO during the synthesis was revealed. As a result, all Zn-Al-Orange Yellow S pigment samples contained both layered double hydroxide and zinc oxide. It was shown that all samples of the Zn-Al-Orange Yellow S pigment obtained at pH 8 and 11 and the ratios Zn:Al=4:1 and Zn:Al=2:1 had high pigment characteristics and are promising for use in gel polish. The samples of gel nail polish with synthesized pigments have a red-orange color (сolor tone 595–604 nm) with high monochromaticity (color purity 63–75 %) and color saturation (48.7–58.3)

Fin has a good effect in strengthening heat dissipation, and the structure is simple, and it has been widely used in civil and industrial applications, such as radiators, automobile engine heat dissipation, air conditioning internal and external units, computer radiators and air preheaters of power station boilers. Based on the CFD numerical simulation method, the temperature change of the fin under different flow velocities is simulated. Result surface: When the calculation time is 100 seconds, when the air velocity is 0.5 m/s and 1 m/s, the heat dissipation of the fin is about 3.1℃ and 4.6℃ increasing than that at 0 m/s.

Based on the children’s road traffic injuries analysis and field pedestrians’ behavior observations during the roadway crossing, in order to reduce accidents among pedestrians-children, to create safe approaches to educational institutions is proposed.

Yenisei Ridge is located at the junction of major tectonic structures - Siberian Platform and West Siberian Plate. Its southern part is characterized by stable tectonic regime, the average speed of uplift according to geological data is 0.2-0.3 mm per year with the total amplitude of 400-500 m. However, the speed of modern movements of the Earth's crust is by more than an order of magnitude higher due to the temporary effect of large-scale geodynamic movements. The Yenisei river divides the area into two parts. The left bank is characterized by predominantly negative vertical movements and the right bank by positive ones. The major tectonic disturbances occur in the areas of the Muratovsky, Atamanovsky, Pravoberezhny and Bolshetelsky submeridional faults. It was investigated the dynamics of changes in the lengths of ΔL baselines for separate epochs of observations. In 2010-2013 the absolute values of ΔL were significantly lower than for the periods 2013-2014 and 2014-2015. For the entire observation period the average value of the differences of the line lengths is 3.8 mm. This suggests that in general the area experienced strain during the period 2010-2015. Maps of the Earth's surface dilatation zones (deformation rate) showed that the maximum deformations were recorded in the area of Muratovsky and Atamanovsky faults located at the junction of Siberian Platform and West Siberian plate. © Published under licence by IOP Publishing Ltd.

Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.INM.INM-CM5-H' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The INM-CM5-H climate model, released in 2016, includes the following components: aerosol: INM-AER1, atmos: INM-AM5-H (0.67x0.5; 540 x 360 longitude/latitude; 73 levels; top level sigma = 0.0002), land: INM-LND1, ocean: INM-OM5-H (North Pole shifted to 60N, 90E. 0.167x0.125; 2160x1440 longitude/latitude; 40 levels; vertical sigma coordinate), seaIce: INM-ICE1. The model was run by the Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia (INM) in native nominal resolutions: aerosol: 50 km, atmos: 50 km, land: 50 km, ocean: 10 km, seaIce: 10 km.

Due to its particular geography, the city of Quito, located in the Ecuadorian Andes, frequently experiences morpho-climatic events such as floods, landslides, and mudslides. These events generate substantial material and human losses. To better understand these phenomena and support informed decision-making for disaster risk management, the Quito morpho-climatic Events Database (1900-2020) was created. The database was constructed by collecting and interpreting information from press reports between 1900 and 2020, translating the narrative texts into quantitative and qualitative data. This information was systematised in a 120-year temporal database containing 1382 events with 25 fields of information, including date, location, type of event and impact. The database is available in *.csv format for easy-use in diverse software. Preliminary assessments have determined the higher frequency of events in April and May, identified risk zones ("hot spots") and established a relationship between urban growth and event occurrence. The Quito morpho-climatic Events Database is a valuable tool for research, decision-making and building a more resilient city in the face of adverse events. Among its potential applications are evaluating climate change and its impact on adverse events, estimating precipitation thresholds for early warning systems, analysing public policies for land-use planning and quantifying risk in terms of hazards and vulnerabilities. This dataset is in Spanish.

Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.INM.INM-CM4-8.ssp585' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The INM-CM4-8 climate model, released in 2016, includes the following components: aerosol: INM-AER1, atmos: INM-AM4-8 (2x1.5; 180 x 120 longitude/latitude; 21 levels; top level sigma = 0.01), land: INM-LND1, ocean: INM-OM5 (North Pole shifted to 60N, 90E; 360 x 318 longitude/latitude; 40 levels; sigma vertical coordinate), seaIce: INM-ICE1. The model was run by the Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia (INM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.