The Paradoxical World of Psycho-Pass Anime Series

Psycho-Pass is one of the most well-known examples of dystopian anime. The story is set in 22nd century Japan, where the country is ruled by the Sibyl System. The world is portrayed to be an ideal world that is seemingly crime-free, yet the world also contained many problems that offset how ideal it seemed. In this paper, we are concerned about how Psycho-Pass can be categorized as a paradoxical world. Therefore, we aim to show the ways that the world of Psycho-Pass is indeed paradoxical by using utopia and dystopia theories. Through our analysis, we found that elements of both utopia and dystopia are present in Psycho-Pass. The world of Psycho-Pass is paradoxical in that it is ideal and faulty at the same time.Keywords: anime, paradoxical, utopia, dystopia.

Digital Economy : A Journey Through 21st Century Towards 22nd Century with Respect to India

Digital Economy refers to an economy which is based on digital computing technologies and can also be referred to as internet economy or web economy as the business activities are conducted through markets based on the internet or the World Wide Web. A Digital Economy also refers to the usage of various digitised information and knowledge to perform various economic activities and uses various new technologies like Internet, Cloud Computing, Big Data Analytics to collect, store and analyse information digitally. This way the modern digital economies are helping the local and regional business organisations to come out of their local boundaries and step into the global scenario to take advantages of the modern liberalisation policies of the governments along with reduced trade barriers throughout the world. This paper will study the importance of digital economy in the modern world along with the difference between the traditional economy and the digital economy and the current state of digital economy in India. This Study has been casual, exploratory and empirical in nature and the data needed for research work has been collected by using both direct and indirect method of data collection.

Strong Increase of Thawing of Subsea Permafrost in the 22nd Century Caused by Anthropogenic Climate Change

Most Earth System Models (ESMs) neglect climate feedbacks arising from carbon release from thawing permafrost, especially from thawing of sub-sea permafrost (SSPF). To assess the fate of SSPF in the next 1000 years, we implemented SSPF into JSBACH, the land component of the Max Planck Institute Earth Model (MPI-ESM). This is the first implementation of SSPF processes in an ESM-component. We investigate three extended scenarios from the 6th phase of the Coupled Model Intercomparison Project (CMIP6). In the 21st century only small differences are found among the scenarios, but in the upper-end emission scenario SSP5-8.5, especially in the 22nd century SSPF ice melting is more than 15 times faster than in the preindustrial period. In this scenario about 35 % of total SSPF volume and 34 % of SSPF area is lost by year 3000 due to climatic changes. In the more moderate scenarios, the melting maximally exceeds the preindustrial rate by a factor of 4 and the climate change induced SSPF loss (volume and area) by year 3000 does not exceed 14 %. Our results suggest that the rate of melting of SSPF ice is related to the length of the local open water season, and thus that the easily observable sea ice concentration may be used as a proxy for the change of SSPF.

An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning

Diabetic retinopathy occurs as a result of the harmful effects of diabetes on the eyes. Diabetic retinopathy is also a disease that should be diagnosed early. If not treated early, vision loss may occur. It is estimated that one third of more than half a million diabetic patients will have diabetic retinopathy by the 22nd century. Many effective methods have been proposed for disease detection with deep learning. In this study, unlike other studies, a deep learning-based method has been proposed in which diabetic retinopathy lesions are detected automatically and independently of datasets, and the detected lesions are classified. In the first stage of the proposed method, a data pool is created by collecting diabetic retinopathy data from different datasets. With Faster RCNN, lesions are detected, and the region of interests are marked. The images obtained in the second stage are classified using the transfer learning and attention mechanism. The method tested in Kaggle and MESSIDOR datasets reached 99.1% and 100% ACC and 99.9% and 100% AUC, respectively. When the obtained results are compared with other results in the literature, it is seen that more successful results are obtained.

Stone bars with two constrictions in burials of the Babino cultural circle within the context of archer’s outfit in the western part of the Old World

This paper is devoted to analysis of a rare category of artefacts — stone bars with two constrictions which present distinct cultural and chronological markers. In Eastern Europe these bars are known only among materials of the Dnieper-Don and Volga-Don Babino cultures; the time of their use is limited to within the 22nd century cal BC corresponding to the upper boundary of the period of their occurrence in the Near East, Central and Western Europe in the BzA1 period. Their functional purpose was to serve as protective mounts on the forearm of an archer preserving from the shock of the bow string. Analysis of the arrangement of the protective mounts in burials allows us to define three cases of their everyday use: noncombat, prior-combat and fighting situations. Experimental simulation has shown that the protective mount was fixed by means of a leather oversleeve with a lacing.

Dialect vocabulary changes over 100 years. Standardization and new dialect forms in Hamaogi glossary

This paper treats linguistic changes over a long time span, covering 100 years in terms of the birth years of the informants and over 250 years since the compilation of a dialect glossary. Data from seven generations about 20 years apart were acquired. We compare the absolute time of linguistic change in lexical items recorded in Hamaogi, a dialect glossary, with the results of a large-scale sociolinguistic survey in Tsuruoka City. For lexical phenomena, the change seems to be continuous over the 250 years. Lexical changes occurred in the feudal ages, after modernization, after WWII and even recently. New dialect is discussed as a symbol of language change in the opposite direction to language standardization. A “glottogram map” or “3D glottogram” presents concrete data of the spatial diffusion of the new dialect form, ganpo. We offer concrete observations of the development of new dialect, which is part of a language change in progress. More than 250 years seem to be necessary from the beginning to the end of a lexical change. This suggests that many dialect forms will remain until the 22nd century..

INOVASI PEMBELAJARAN DI ERA COVID-19 BERBASIS BUDAYA LOKAL PADA PENDIDIKAN INDONESIA

Indonesian education is getting better and with the provision of teacher educators who are increasingly performing, education is growing from the 21st century to the 22nd century, education brings development into learning. Learning is getting better days by spreading the corona virus in Indonesia, learning that originally accepted mediocre students is now increasingly increasing the use of information and communication technology (ICT) that is bold or online, challenging learning seeking integration in learning in Indonesia, such as change in the 2013 curriculum, accepted can be implemented perfectly in the 19th era that was fully accepted, as seen from the learning media system and / or learning resources that were changed with agreed environmental requirements. there is no need for educational regulations to make all educational activities replaced with layoff activities. new learning system. Teacher educators learn to innovate in every material to gather local culture around because in Banjarmasin the local culture is easy to apply and facilitates students in their immediate environment.