PRESCHOOL AGED CHILDREN PEDAGOGICAL SUPPORT FEATURES IN CREATIVE ACTIVITIES

В данной статье рассматривается необходимость раннего вовлечения ребенка в творческую деятельность, способствующую формированию его личности как носителя ценностных установок современного мира.Результаты массовой и инновационной практики показывают, что процесс актуализации творческих возможностей в период дошкольного детства, не возможен без эффективного педагогического сопровождения ребенка дошкольного возраста значимым взрослым.Автор, анализируя современные подходы, к понятию «сопровождение», рассматривает методологические основы «педагогического сопровождения», сравнивает с такими гуманистическими понятиями, как «содействие», «помощь», «защита», «поддержка» и другими.Конечный результат педагогического сопровождения ребенка дошкольного возраста автору представляется как перевод личностного развития ребенка на более высокий социально приемлемый уровень.Несмотря на то, что в отечественной педагогике разработан терминологический аппарат, связанный с педагогическим сопровождением, при реализации в практике дошкольного образования педагоги испытывают затруднения при определении его содержания.his article describes the necessity of child early involvement in creative activities which promotes his personality formation as a carrier of modern world values.The results of mass and innovation practices show that the process of actualizing creative abilities during preschool childhood is not possible without effective pedagogical support of preschool aged child by key adults.Author analyzing modern approaches to the notion of “support”, considers methodological bases “pedagogical support”, compares with such humanistic concepts as “assistance”, “aid”, “protection”, “support” and others.The author presents the end result of preschool aged child pedagogical support as a child personal development transfer to a higher social acceptable level.Despite the fact that domestic pedagogy developed terminology apparatus associated with pedagogical support, preschool education teachers have difficulties in determining its content when implemented in practice

Macro- and megafauna on the slopes of the Saya de Malha Bank of the Mascarene Plateau

A first characterization of the distribution and composition of benthic and demersal macro- and megafauna was derived based on video records sampled along five pre-determined transects up the slope on the western, northern and eastern sides of the Saya de Malha Bank on the Mascarene Plateau, starting at a maximum depth of 1000 m. Abundance was highest in the upper parts of eastern slope locations, primarily reflecting a relatively higher abundance of black corals (Antipatharia) than in other locations. A consistent feature of several transects, but most prominent in eastern and northern slopes, was the occurrence of patchy coral and sponge aggregations along the margin where the substrate was mostly hard. In some cases, these aggregations might be considered ‘gardens’ but reefs were not observed. Higher-level taxonomical composition of the fauna is presented. Demersal fish were widespread but not abundant, and within the depth range studied, there was a transition from a marginal shallow fish assemblage to a deepwater assemblage. Fishes were in most cases only assigned to family level, and 49 families were recorded. To thoroughly assess the biodiversity and abundance of fauna of the slopes of Saya de Malha Bank, further studies conducting more detailed video transects and sampling of specimens are warranted

Tables as protocol for mass tests input in the Latin and other languages teacher’s personal information system interface: integrated technology for Word, Excel, Quizlet, Gift and Moodle

Under investigation is the combined use of the LMS MOODLE and special language teaching tools like QUIZLET. The core is the task of unification of the mass tests format and their import into LMS. The initial form of test arrays are WORD lists or EXCEL spreadsheets. The table structure of the AIST interface is proposed. The automated process of arrays converting from WORD and EXCEL tables to GIFT files for import into the MOODLE and QUIZLET is described. Shown that the use of the tabular interface makes anyone possible to implement an effective technology of mass test import into various language LMS

sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna

Motivation: Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite grow‐ ing interest in a trait‐based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single re‐ pository for species traits for deep‐sea chemosynthesis‐based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global‐scale trait database for deep‐sea hydrothermal‐vent fauna – sFD‐ vent (sDiv‐funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: (a) capture the performance of vent species and their influence on ecosystem processes, and (b) compare trait‐based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal‐vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we characterise the sFDvent da‐ tabase, describe our approach, and evaluate its scope. Finally, we compare the sFD‐ vent database to similar databases from shallow‐marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross‐ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique DOI. Main types of variable contained: Six hundred and forty‐six vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Spatial location and grain: Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid‐ocean ridges and 6 back‐arc spreading centres. Time period and grain: sFDvent includes information on deep‐sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every 5 years. Major taxa and level of measurement: Deep‐sea hydrothermal‐vent fauna with spe‐ cies‐level identification present or in progress. Software format: .csv and MS Excel (.xlsx).This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited

Density and distribution of megafauna at the Håkon Mosby Mud Volcano (the Barents Sea) based on image analysis

During a survey of the H°akon Mosby mud volcano (HMMV), located on the Bear Island fan in the southwest Barents Sea at �1250m water depth, different habitats inside the volcano caldera and outside it were hotographed using a towed camera platform, an Ocean Floor Observation System (OFOS). Three transects were performed across the caldera and one outside, in the background area, each transect was �2 km in length. We compared the density, taxa richness and diversity of nonsymbiotrophic megafauna in areas inside the volcano caldera with different bacterial mat and pogonophoran tubeworm cover. Significant variations in megafaunal composition, density and distribution were found between considered areas. Total megafaunal density was highest in areas of dense pogonophoran populations (mean 52.9 ind.m−2) followed by areas of plain light-coloured sediment that were devoid of bacterial mats and tube worms (mean 37.7 ind.m−2). The lowest densities were recorded in areas of dense bacterial mats (mean �1.4 ind.m−2). Five taxa contributed to most of the observed variation: the ophiuroid Ophiocten gracilis, lysianassid amphipods, the pycnogonid Nymphon macronix, the caprellid Metacaprella horrida and the fish Lycodes squamiventer. In agreement with previous studies, three zones within the HMMV caldera were distinguished, based on different habitats and megafaunal composition: “bacterial mats”, “pogonophoran fields” and “plain light-coloured sediments”. The zones were arranged almost concentrically around the central part of the caldera that was devoid of visible megafauna. The total number of taxa showed little variation inside (24 spp.) and outside the caldera (26 spp.). The density, diversity and composition of megafauna varied substantially between plain lightcoloured sediment areas inside the caldera and the HMMV background. Megafaunal density was lower in the background (mean 25.3 ind.m−2) compared to areas of plain light-coloured sediments inside the caldera. So the effect of the mud-volcano environment on benthic communities is expressed in increasing of biomass, changing of taxa composition and proportions of most taxonomic groups

Deep-sea megabenthos communities of the Eurasian Central Arctic are influenced by ice-cover and sea-ice algal falls.

Quantitative camera surveys of benthic megafauna were carried out during the expedition ARK-XXVII/3 to the Eastern Central Arctic Basins with the research icebreaker Polarstern in summer 2012 (2 August-29 September). Nine transects were performed for the first time in deep-sea areas previously fully covered by ice, four of them in the Nansen Basin (3571-4066m) and five in the Amundsen Basin (4041-4384m). At seven of these stations benthic Agassiz trawls were taken near the camera tracks for species identification. Observed Arctic deep-sea megafauna was largely endemic. Several taxa showed a substantially greater depth or geographical range than previously assumed. Variations in the composition and structure of megabenthic communities were analysed and linked to several environmental variables, including state of the sea ice and phytodetritus supply to the seafloor. Three different types of communities were identified based on species dominating the biomass. Among these species were the actiniarian Bathyphellia margaritacea and the holothurians Elpidia heckeri and Kolga hyalina. Variations in megafaunal abundance were first of all related to the proximity to the marginal ice zone. Stations located closer to this zone were characterized by relatively high densities and biomass of B. margaritacea. Food supply was higher at these stations, as suggested by enhanced concentrations of pigments, organic carbon, bacterial cell abundances and nutrients in the sediments. Fully ice-covered stations closer to the North Pole and partially under multi-year ice were characterized by lower concentrations of the same biogeochemical indicators for food supply. These stations nevertheless hosted relatively high density and biomass of the holothurians E. heckeri or K. hyalina, which were observed to feed on large food falls of the sea-ice colonial diatom Melosira arctica. The link between the community structure of megafauna and the extent and condition of the Central Arctic sea-ice cover suggests that future climate changes may substantially affect deep ocean biodiversity

Vertical distribution of megafauna on the Bering Sea slope based on ROV survey

Video surveys were carried out during the 75th cruise of the RV Akademik M.A. Lavrentyev (June 2016) along the northern slope of the Volcanologists Massif, in the south-western Bering Sea. The seafloor was explored using the ROV Comanche 18. Seven dives were performed in the depth range from 4,278 m to 349 m. Overall, about 180 species of megafauna were recognised. Fifteen types of megafauna communities corresponding to certain depth ranges were distinguished based on the most abundant taxa. Dominance changed with depth in the following order: the holothurian Kolga kamchatica at the maximum depth (4,277–4,278 m); the holothurian Scotoplanes kurilensis at 3,610–2,790 m; the ophiuroid Ophiura bathybia at 3,030–2,910 m; benthic shrimps of the family Crangonidae at 2,910–2,290 m; the holothurian Paelopatides solea at 2,650–2,290 m; benthic jellyfish from the family Rhopalonematidae at 2,470–2,130 m; the enteropneust Torquaratoridae at 2,290–1,830 m; the holothurian Synallactes chuni and the ophiuroid of the genera Ophiura and Ophiocantha at 1,830–1,750 m. At depths 1,750–720 m most of the megafauna was associated with live or dead colonies of the sponge Farrea spp. Depths 720–390 m were dominated by the coral Heteropolypus ritteri and/or Corallimorphus pilatus. At 390–350 m depth, the shallowest depth range, the dominant taxon was the zoantharian Epizoanthus sp. Soft sediment megafauna communities dominated by torquaratorid enteropneusts to our knowledge have not been observed before in the deep-sea, the same as communities with a dominance of benthopelagic rhopalonematid jellyfish. The depths of the largest community changes, or the largest turnover of dominant species, were revealed at ∼2,790 m between the bathyal and abyssal zones and ∼1,750 m and ∼720 m within the bathyal zone

OFOS photographic survey transects characteristics, megabenthic communities characteristics, seafloor algae coverage and environmental conditions during POLARSTERN cruise PS80 (ARK-XXVII/3, IceArc)

A photographic survey was carried out during the expedition ARK-XXVII/3 to the Nansen and Amundsen basins. The seafloor was photographed using a towed Ocean Floor Observation System (OFOS). Nine transects were performed: four in the Nansen Basin between 83-84°N and 18-110°E at depths 3571-4066 m, and five in the Amundsen Basin between 83-89°N and 56-131°E at depths 4041-4384 m. All images were analysed and stored using the image analysis program and database BIIGLE (www.BIIGLE.de). The laser points were used for calculation of the seafloor surface area on images. Visible megafauna was counted and identified to the lowest possible taxonomic level. The number of different taxa on each image was converted to individuals per m² (density). Total megafauna density (±standard deviation) was calculated for each transect. The mean taxa biomass per m² and the total megafauna biomass per m² were roughly estimated for each transect. The mean biomass (preserved wet weight) was calculated based on the wet weight of preserved individuals sampled by trawls. For taxa with insufficient trawl data the biomass was estimated using the biomass data of congeneric taxa or taxa with similar body shape; in some cases such taxa were excluded from analyses. The coverage of seafloor by algae aggregations and their remains was calculated based on sixty images at each transect using ImageJ software. Images for this analysis were chosen with equal spatial intervals depending on the total number of images within a transect. Several environmental parameters were measured at the ice stations