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Using Cyclic CBR Method to Determine Resilient Modulus of Hydraulic Binder Stabilised Road Pavement Base Layers
The mechanistic-empirical (E-M) design of pavement structures requires knowledge of the elastic modulus of the layers comprising the structure. The necessary cyclic (dynamic) triaxial testing is expensive and cumbersome for low-volume forest and agricultural roads. Opiyo (1995) developed a method called cyclic CBR (cCBR) to determine the resilient modulus (Mr) of granular road construction materials using CBR testing equipment. The present study tested the cCBR method on silty, fine sand stabilised with lime and a lime-cement mixture. For the test, 24 test specimens were prepared by adding 3, 5 and 7% pure lime and a 70–30 lime-cement mixture at the targeted 8–23% water content. Three metrics were used to express the bearing capacity of the specimens: (1) the commonly used CBR% value, (2) the Mr value calculated as a function of load force and elastic deformation determined as a result of the cCBR test, and (3) the resilient modulus calculated from the CBR value. The experimental results showed that the initial water content had a greater effect on the bearing capacity than the binder dosage. The present study found the cCBR procedure to be feasible. The test results were converted to a resilient modulus value using the formula developed by Opiyo and Molenaar, respectively. The calculated resilient modulus values from the CBR value exhibited a wide variation. Uzan's formula provided similar results to those calculated by Molenaar's formula. A 250 m long experimental road section was also constructed to verify the laboratory data. Based on the laboratory tests, five different 50 m long stabilisation layers were built. The bearing capacity data measured with the handheld BC-1 LFWD and KUAB-FWD equipment verified Molenaar's formula
Játék és mese: óvodai mindennapok a második világháború előestéjén, a Magyar Gyermeknevelés folyóirat tükrében
A tanulmány a Magyar Gyermeknevelés folyóirat negyedik évfolyamának cikkeinek és tanulmányainak elemzésére épül. A kutatás három fő kategóriába sorolta az elemzett forrásokat: a játék fejlesztő hatását bemutató cikkeket, a módszertani lehetőségeket és kihívásokat tárgyaló tanulmányokat, valamint a Gyermekfoglalkoztatás rovat beszélgetési vázlatait. Az elemzett anyagok alapján kirajzolódik, hogy a második világháborút megelőző időszakban az óvodai nevelés kiemelkedő szerepet kapott, mely különállt az iskolai neveléstől és sajátos pedagógiai funkciókat töltött be. A vizsgált tanulmányokból kiderül, hogy a korszak óvodai nevelési gyakorlatai az iskolára való felkészítést segítették, de
hangsúlyozták az önálló, szabályozott játéktevékenységek fejlesztő hatását. A módszertani cikkek kiemelik az óvodai nevelés nemzeti hagyományokhoz való kapcsolódását, a magyar népi kultúra fontosságát, valamint az óvónők megfelelő felkészültségének szükségességét. A beszélgetési vázlatok változatos témákat érintenek, beleértve a nemzeti identitást, vallási értékeket, közlekedési és táplálkozási szokásokat és a társadalmi beilleszkedést. A nemzeti szimbólumok és vallási ünnepek fontos szerepet kaptak a gyermekek közösségi és identitásbeli fejlődésében. A tanulmány rávilágít arra, hogy az óvodai nevelés a harmincas évek Magyarországán nemcsak pedagógiai, hanem szociális és kulturális feladatokat is ellátott. Az óvodai anyagban a korszak politikai és társadalmi eszményei is tükröződtek,
különös tekintettel a magyar kultúra megőrzésére és a nemzetvédelemre
Culture Born in Play
How can we interpret that culture was born in play? What do we mean by the idea that culture has been played from the beginning? How has play served a culture-creating function since early societies? What role do holidays, rites, and myths play in creating the connective structure of culture and preserving cultural memory? What did this sanctified space and time mean to humanity? How and why did humans replay the act of creating their cosmos and their community’s mythical past in sanctified time and space? How are ceremonial communication channels the most ancient form of knowledge transfer, and what is the role of play in this? This study explores the answers to these questions
The Natural Pattern-based Fuzzy Investment System
Research background: The underlying research problem concerns simplifying nature’s infinite sustainability pattern into a usable system to prove self-care in the financial field. Many disciplines have discovered self-sustaining systems, implying one should also exist in the portfolio- or asset management field. Purpose of the article: This paper models and applies a self-sustaining investment system based on nature’s sustainability pattern to present a usable and easily adaptable financial self-care model that can contribute to societal and individual well-being. Methods: This interdisciplinary research incorporates fractal patterns from nature and integrates these into an innovative investment decision system via a working and utilizable model. The article approaches the problem in three ways. First, it applies an unprecedented, proprietary fuzzy heuristic approach to parse the Mandelbrot set hiding nature’s growth code. Second, it subjects the resulting model system to static, dynamic, and iterative methods. Finally, it tests the above in practice in a focus group research project based on individual decisions in a portfolio collision. Findings & value added: The paper brings manageable order to investment decision processes using a specific econophysics approach to provide a complex whole of frames, alternatives, and dynamic wealth management functions. The paper attempts to demonstrate the self-sustaining power of the natural order in investment portfolio returns, behavioral finance, and wealth management decisions. The theory of an efficient, well-functioning, self-sustaining investment decision system based on heuristic criteria is developable and has been proven. The study made the organizational dominance measurable and – through fuzzy logic – simplified the complexity of the Mandelbrot set. The research also shows the scalability of the fuzzy symmetry framework, implying that it is transferable to other disciplines
A vadlúd monitoring eredményei a 2021/2022-es idényben Magyarországon
The author presents the results of the HUNGARIAN GEESE MONITORING (Table 1.) for 2021/2022 in the form of a data base. After reviewing the basic data recorded at each site of observation (Table 3-21.) he analyse the obtained data separately for each species, i.e. Brent Goose (Branta bernicla) (Table 22., Map 1., Figure 1-2.), Barnacle Goose (Branta leucopsis) (Table 23., Map 2., Figure 3-4.), Red-breasted Goose (Branta ruficollis) (Table 24, Map 3., Figure 5-6.), Bar-headed Goose (Anser indicus) (Table 25, Map 4, Figure 7.), Greylag Goose (Anser anser) (Table 26., Map 5., Figure 8-10.), Tundra Bean Goose (Anser serrirostris rossicus) (Table 27., Map 6., Figure 11-13.), Taiga Bean Goose (Anser fabalis) (Table 28, Map 7, Figure 14.), Pink-footed Goose (Anser brachyrhynchus) (Table 29., Map 8., Figure 15.), White-fronted Goose (Anser albifrons) (Table 30., Map 9., Figure 16-18.), Lesser White-fronted Goose (Anser erythropus) (Table 31., Map 10., Figure 19-20.), as well as for the total of observed geese (Table 32., Figure 21-23.). In respect of dominance – when data recorded monthly in each of the observed sites (Table 3-21., Figure 24.) or those referring to the total of geese present in Hungary (Table 33., Figure 25.) are analysed, it is found that in conformity with the numbers of individuals, also in the season 2021/2022 White-fronted Goose was the most common goose species in Hungary (max. 274 907 birds, max. 93%), followed by Greylag Goose (max. 55 864 birds, max. 100%), Red-breasted Goose (max. 249 birds, max. 0-1%) and Tundra Bean Goose (max. 205 birds, max. 0-1%) ranking third and fourth. Dominance of Lesser White-fronted Goose – a globally threatened species – ranged from 0% to <1% (max. 26 birds). If the data obtained for the season 2021/2022 are fitted into the database of long-term monitoring, the following conclusions can be drawn from the actual changes in population numbers of the geese species in the Pannon region. In the season 2021/2022, we observed max. 1 Brent Geese, max. 9 Barnacle Goose, max. 2 Bar-headed Goose, max. 1 Pink-footed Goose and max. 5 Taiga Bean Goose. For the globally threatened Red-breasted Goose may be considered higher (two times – 249 birds) to the maximum counted in the season 2020/2021 (147 birds), but much lower to the record number counted in the season 2014/2015 (1258 birds). Greylag Goose continued to be present with high numbers in Hungary. However, in the new season its peaks (55 864 birds) were found to be higher (+42%) those counted in the previous 2020/2021 season (39 261 birds). Peak number of Tundra Bean Goose (205 birds) was lower (29%) as the maximum counted in the season 2020/2021 (711 birds). The dramatic decline in the dynamics of the Tundra Bean Goose population continued in the Pannon Region. Peak number of White-fronted Goose (274 907 birds) was 4% higher as the maximum counted in 2020/2021 (265 010 birds). For the globally threatened Lesser White-fronted Goose may be considered higher (26 birds) to the maximum counted in the season 2020/2021 (10 birds). The maximum numbers of total geese in the season 2021/2022 registered simultaneously (321 729 birds) was 5% higher to the maximum number of the season 2020/2021 (306 526 birds)