Study on the Trend and Future Task of Taekkyeon

2020 ◽  
Vol 18 (3) ◽  
pp. 803-811
Author(s):  
Ju-Hyun Park ◽  
◽  
Joung-Kun Shin
Keyword(s):  
Author(s):  
Л.А. Беляев ◽  
С.И. Баранова

Задача статьи – понять, где, сколько и каких сохранилось археологических материалов по истории наиболее известного из гражданских дворцовых соо­ружений, срубленных из дерева, – дворца в Коломенском. Дворец использовался как летняя государственная резиденция в основном царем Алексеем Михайловичем и его сыновьями, Федором и Петром I (в юности), а позже эпизодически правительницами России XVIII в. После разборки в 1760-х гг. от него сохранились описания, обмеры и даже модели. За столетие (с 1920-х гг.) остатки усадьбы не раз исследовались археологически, материалы фиксации отложились в ряде архивов и музеев, в основном московских. На будущее ставится задача свести эти материалы воедино и заново проанализировать их вместе с другими видами источников. The paper is aimed at shaping a clear idea on what, where, and how much of archaeological materials on the history of the Kolomenskoye Palace, which is the most famous civil palace construction made from logs, has been preserved. The palace was used as a summer state residence, mostly, by tsar Aleksey Mikhailovich and his sons – Fyodor and Peter I (in his childhood), and in the subsequent period in the 18th century from time to time by female rulers of Russia. In the 1760s the palace was dismantled; its descriptions, measurements and even models were preserved. Over a hundred years (since the 1920s), the remains of this estate have been repeatedly excavated, and the records have been stored in a number of archives and museums, mostly, in Moscow. The future task is to consolidate these materials and analyze them along with other types of sources.


1997 ◽  
Author(s):  
Anderew K. MacLeod ◽  
Philip Tata ◽  
John Kentish ◽  
Hanne Jacobsen
Keyword(s):  

Author(s):  
Amir Erfan Eshratifar ◽  
Mohammad Saeed Abrishami ◽  
David Eigen ◽  
Massoud Pedram

Transfer-learning and meta-learning are two effective methods to apply knowledge learned from large data sources to new tasks. In few-class, few-shot target task settings (i.e. when there are only a few classes and training examples available in the target task), meta-learning approaches that optimize for future task learning have outperformed the typical transfer approach of initializing model weights from a pretrained starting point. But as we experimentally show, metalearning algorithms that work well in the few-class setting do not generalize well in many-shot and many-class cases. In this paper, we propose a joint training approach that combines both transfer-learning and meta-learning. Benefiting from the advantages of each, our method obtains improved generalization performance on unseen target tasks in both few- and many-class and few- and many-shot scenarios.


Author(s):  
Otto Lehto ◽  
John Meadowcroft

AbstractIn a number of works, James M. Buchanan set out a proposal for a ‘demogrant’—a form of universal basic income that applied the principles of generality and non discrimination to the tax and the transfer sides of the scheme and was to be implemented as a constitutional rule outside the realm of day-to-day politics. The demogrant has received surprisingly little scholarly attention, but this article locates it in Buchanan’s broader constitutional political economy project and shows it was a logical application of his theoretical framework to the problem of inefficient and unfair welfare systems when reform to the basic institutions of majoritarian democracy was not forthcoming. The demogrant aims to end the problems of majority cycling and rent seeking that plague contemporary welfare states and therefore offers a model of welfare without rent seeking—a constitutional welfare state. We compare Buchanan’s demogrant model to other universal basic income and negative income tax models and consider the most important criticisms. We conclude that rescuing the demogrant model from relative obscurity would be a fruitful future task of applied constitutional political economy and public choice.


2019 ◽  
Vol 11 (16) ◽  
pp. 4486 ◽  
Author(s):  
Dami Moon ◽  
Eri Amasawa ◽  
Masahiko Hirao

This study aimed to define the use of product–service system (PSS) associated with laundry businesses, such as coin-operated self-service laundromats (CL) and laundry services (LS), in order to get a better understanding of the environmental implications of PSS in laundry habits in Bangkok, Thailand. The motivation to use PSS could vary according to the specific consumer needs often defined by cultures, and therefore the environmental impacts from the PSS use would result differently from country to country. Questionnaires and in-depth interviews were conducted with Bangkok residents to determine the laundry habits related to the use of PSS. As a result, the use of private washing machines (PW) was found to be the main option, and CL and LS were used as an additional option in the laundry habits. The most widely observed use pattern in Bangkok was the use of CL as an alternative to PW instead of buying a new machine for a new life in dormitories or other residences away from home. At that time, hand washing (HW) was also used for saving money and for the cleanliness. Regarding the environmental potential, the relationship between the PSS users and laundry habits was specifically analyzed. The group who uses PSS frequently tended to do laundry less often than those who only use PW. Meanwhile, the need for even more services is also expected to increase among the PSS users. The need to improve the quality of laundry is expected to increase with the improvement of quality of living in Bangkok in the near future. However, at the same time, these observations imply that a change of consumer behaviors related to the use of PSS determines the resulting energy consumption and environmental burdens. To further clarify sustainable consumption and production systems, a quantitative analysis of the environmental impact of the laundry habits remains as a future task.


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