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As one of the oldest languages in the world, Chinese has a long cultural history and unique language charm. The multilayer self-organizing neural network and data mining techniques have been widely used and can achieve high-precision prediction in different fields. However, they are hardly applied to Chinese language feature analysis. In order to accurately analyze the characteristics of Chinese language, this paper uses the multilayer self-organizing neural network and the corresponding data mining technology for feature recognition and then compared it with other different types of neural network algorithms. The results show that the multilayer self-organizing neural network can make the accuracy, recall, and F1 score of feature recognition reach 68.69%, 80.21%, and 70.19%, respectively, when there are many samples. Under the influence of strong noise, it keeps high efficiency of feature analysis. This shows that the multilayer self-organizing neural network has superior performance and can provide strong support for Chinese language feature analysis.

The ever‐growing demand for messaging services has raised concerns over users' privacy when exchanging texts with each other. We show how those concerns are justified by summarizing the research in digital censorship. Further, we propose our linguistic steganographic system called ConcelGAN that aims to reduce the detectability of cover text and increase the difficulty of extraction by employing generative models, such as LSTM and LeakGAN, and by proposing double layer of encoding. Besides proposing our system, this chapter aims to promote research in linguistic steganography by showing the practical benefits of this field in cybersecurity.

Manuscript Ferguson MS 147, a fifteenth-century volume written in Middle English and housed in Glasgow University Library, contains a copy of the Antidotarium Nicholai, a sarum calendar and a medical compilation which includes medical recipes, prognostic texts, and healing charms. Our interest is placed on the charms in the medical recipe collection found in folios 63r–159v. Following earlier studies on the charm genre, we will characterise the medical charms found in Ferguson MS 147 from a linguistic standpoint. This touches upon the use of language and other technical features, such as the presence of code-switching, the use of specialised symbols and characters, and the terminology used by the scribe to refer to the genre, among others. Concerning textual tradition, we also aim to examine whether the healing charms present variation, even if small, with earlier described charms. From a methodological point of view, the comparison includes contrasting our material with other edited compilations of charms.

Makalah ini menguraikan secara ringkas kedudukan sentral pragmatik di dalam menangkal berita bohong yang bertebaran seiring maraknya transaksi elektronik di era digital sekarang ini. Dengan mengambil contoh kasus forensik yang melibatkan berbagai tokoh penting dan orang biasa, dapat diketahui bahwa pengetahuan pragmatik yang memanfaatkan konteks ekstralingual dalam artian yang luas ternyata mampu digunakan sebagai alat yang efektif dalam mengidentifikasi dan menentukan kebenaran luar bahasa sebuah berita. Dari data-data yang terkumpul, ternyata tidak hanya masalah kebenaran luar bahasa yang disangkutkan, tetapi juga masalah-masalah internal bahasa. Sehubungan dengan hal itu, pengetahuan tentang aspek-aspek internal bahasa yang dipelajari cabang ilmu-ilmu bahasa lain juga sangat bermanfaat di dalam menerangkan aspek-aspek internal bahasa. Di samping itu, masalah-masalah internal ini juga sering menjadi permasalahan utama dalam kasus-kasus forensik, baik di media elektronik maupun saluran komunikasi lain. Kenyataan ini semakin mengokohkan sentralnya peran ahli bahasa di masa depan. This article will briefly describe the central role of pragmatics in avoiding hoaxes which are recently scattered in line with the glow of electronic transactions in the digital era. By taking examples from several forensic cases which involve public figures and ordinary citizens, it can be concluded that the knowledge of pragmatics which exploits extralinguistic contexts in its broadest sense can be used as an effective tool in identifying and determining the extralinguistic truths of a news. The data collection shows that the utterances sometimes contain internal linguistic aspects. Accordingly, the knowledge about internal aspects of a language which constitute objects studied by other linguistic branches, are also fruitful for explaining these internal aspects. Besides, the internal aspects are also possible to be the main problems of in forensic cases which are either delivered through electronic medium or other communication channels. All these matters strongly confirm the central role of linguists in the nearly future. Â

The main scope of the paper is to review the construction method of (multi-)regional input–output tables (RIOTs) in the Czech Republic at the NUTS 3 regional level. We compare the estimation of regional IO tables based on a modified cross-hauling adjusted regionalisation method (CHARM) applied by the authors with application of the hybrid approach of (Sixta and Vltavska in Stat Stat Econ J 97:4–14, 2017) from the Department of Statistics at the University of Economics in Prague. The aim of the presented paper is to contribute to the discussion about the suitability of alternative methodological approaches from the perspective of quality and time. We assume that despite the lack of official, published RIOTs by state statistical offices, the existing methodology of the relatively simpler non-survey CHARM method represents an adequate option for the generation of regional input–output tables suitable for further analytical research.

Chinese herbal medicine features strong national characteristics, and carries heavy cultural connotations. The use of Chinese herbal medicine originated in ancient China, which was called Japanese Kampo medicine after it was introduced into Japan. With the close cultural exchanges between China and Japan and the continuous improvement of medical technology, Chinese herbal medicine has become more and more appreciated and recognized by the Japanese for its unique charm. At the same time, the research on herbology in China and Japan has also been unprecedentedly developed. Based on the purpose of mutual learning and reference, this paper discusses the Japanese-Chinese translation studies of the popular science text of traditional Chinese pharmacology in Japan.

The most commonly used formats for exchanging musical information today are limited in that they represent music as flat and rigid streams of events or as raw audio signals without any structural information about the content. Such files can only be listened to in a linear way and reused and manipulated in manners determined by a target application such as a Digital Audio Workstation. The publisher has no means to incorporate their intentions or understanding of the content. This article introduces an extension of the music formalism CHARM for the representation of modifiable and reusable musical content on the Web. It discusses how various kinds of multi-hierarchical graph structures together with logical constraints can be useful to model different musical situations. In particular, we focus on presenting solutions on how to interpret, navigate and schedule such structures in order for them to be played back. We evaluate the versatility of the representation in a number of practical examples created with a Web-based implementation based on Semantic Web technologies.

Purpose This paper aims to present a new model of marketing analysis that is capable of using the embedded knowledge that sits untapped in the history of marketing thought to solve contemporary marketing problems – the conceptual-historical analytical research model (CHARM). Design/methodology/approach This paper outlines the evolution of historical analysis methods (HAM), along with critiques and enhancements of the prior processes offered by Savitt (1980), Nevett (1991) and Golder (2000). From these foundations, the paper outlines the components of the model of historical analysis, detailing the development of the analytical template design. It also details the four-step process of engaging structured revisits of past knowledge for contemporary problem-solving. Findings The CHARM for problem-solving in marketing is a knowledge-gathering system that informs marketing decisions addressing contemporary problems. This is achieved through the use of embedded knowledge from a corpus of historical texts. Research limitations/implications This paper provides a method for future researchers to apply for replicable examination of historical texts and to assist intercoder reliability for multi-author history projects through the application of structured templates. Practical implications The CHARM for problem-solving in marketing is a knowledge-gathering system that informs marketing decisions addressing contemporary problems. This is achieved through the use of embedded knowledge from a corpus of historical texts. Originality/value The CHARM process applies a systematic protocol for engaging qualitative sources for historical analysis through preset data collection templates, structured analysis frameworks and definitional understanding templates for improved replicability. This paper presents a new model of approaching historical analysis through a problem-solving lens, whereby historical sources become the foundations for the solution to a problem, rather than just the literature review that identifies the presence of gap.

The article is devoted to the similarities between the Balkan-Slavic and the Ukrainian charms, namely, to the story, involving the “life” of things, or so-called operational plot. Parallels with the Balkan-Slavic charms that contain а “life story” of things (foodstuffs or plants) are found not throughout the entire space of the Ukrainian ethno-dialectal zone, but along the southwest-northeast line: in the Hutsul region and Bukovina, in Podolia and the Dnieper area, as well as in the Left-Bank Ukraine. There are four versions of this plot presented in charms: “the story of bread”, “the story of flax / hemp”, “the story of cheese / butter” and “the story of fish”. The article notes that all four versions are known both among the Balkan Slavs and the Ukrainians, although “the story of cheese” dominates in the Balkans, while “the story of bread” prevails in Ukraine. It is shown that in the Balkan-Slavic and Ukrainian traditions the coinciding plot elements of the charms, containing “life stories” of foodstuffs or plants, appear not as atomic facts, but as elements of a system. In particular, this is reflected in the fact that the functions of individual versions of texts and the features of their poetics coincide. For citationAgapkina T. A. Parallels in the verbal magic of Eastern and Southern Slavs: the “life” of things as a charm plot // Slavic Almanac. 2020. Issues 3–4. P. 225–244. DOI: 10.31168/2073-5731.2020.3-4.3.01

High Performance Computing (HPC) is nearing the exascale era and several challenges have to be addressed in terms of application development. Future parallel programming models should not only help developers take full advantage of the underlying machine but they should also account for highly dynamic runtime conditions, including frequent hardware failures. In this paper, we analyze the porting process of a plasma confinement simulator from a traditional MPI+OpenMP approach to a parallel objects based model like Charm++. The main driver for this effort is the existence of load imbalanced input scenarios that pure OpenMP scheduling can not solve. By using Charm++ adaptive runtime and integrated balancing strategies, we were able to increase total CPU usage from 45.2% to 80.2%, achieving a 1.64 × acceleration, after load balancing, over the MPI+OpenMP implementation on a specific input scenario. Checkpointing was added to the simulator thanks to the pack-unpack interface implemented by Charm++, providing scientists with fault tolerance and split execution capabilities.

Searchable encryption allows a cloud server to conduct keyword search over encrypted data on behalf of the data users without learning the underlying plaintexts. However, most existing searchable encryption schemes only support single or conjunctive keyword search, while a few other schemes that can perform expressive keyword search are computationally inefficient since they are built from bilinear pairings over the composite-order groups. In this paper, we propose an expressive public-key searchable encryption scheme in the prime-order groups, which allows keyword search policies i.e., predicates, access structures to be expressed in conjunctive, disjunctive or any monotonic Boolean formulas and achieves significant performance improvement over existing schemes. We formally define its security and prove that it is selectively secure in the standard model. Also, we implement the proposed scheme using a rapid prototyping tool called Charm and conduct several experiments to evaluate it performance. The results demonstrate that our scheme is much more efficient than the ones built over the composite-order groups. INDEX TERMS - Searchable encryption, cloud computing, expressiveness, attribute-based encryption

Exoticism is the charm of the unfamiliar, it often means unusual, mystery, and it can evoke the atmosphere of remote lands. Although it has received interest in different arts, like painting and music, no study has been conducted on understanding exoticism from a computational perspective. To the best of our knowledge, this work is the first to explore the problem of exoticism-aware image classification, aiming at automatically measuring the amount of exoticism in images and investigating the significant aspects of the task. The estimation of image exoticism could be applied in fields like advertising and travel suggestion, as well as to increase serendipity and diversity of recommendations and search results. We propose a Fusion-based Deep Neural Network (FDNN) for this task, which combines image representations learned by Deep Neural Networks with visual and semantic hand-crafted features. Comparisons with other Machine Learning models show that our proposed architecture is the best performing one, reaching accuracy over 83% and 91% on two different datasets. Moreover, experiments with classifiers exploiting both visual and semantic features allow to analyze what are the most important aspects for identifying exotic content. Ground truth has been gathered by retrieving exotic and not exotic images through a web search engine by posing queries with exotic and not exotic semantics, and then assessing the exoticism of the retrieved images via a crowdsourcing evaluation. The dataset is publicly released to promote advances in this novel field.

Host-driven execution of applications on modern GPU-accelerated systems suffer from frequent host-device synchronizations, data movement and limited flexibility in scheduling user tasks. We present CharminG, a runtime system designed to run entirely on the GPU without any interaction with the host. CharminG takes inspiration from the Charm++ parallel programming system and implements processor virtualization and message-driven execution on the GPU. We evaluate the composability and preliminary performance of CharminG with a proxy application that performs the Jacobi iterative method in a two-dimensional grid, using the Lassen supercomputer at Lawrence Livermore National Laboratory.

Introduction Racism, discrimination and microaggressions experienced by underrepresented nursing students contribute to a loss of confidence, and feelings of sadness and anger.1,2,3 These experiences affect the students’ academic performance, and personal wellness. 1,2,3 There is a need for innovative and accessible resources that provide instruction and promote critical thinking regarding racism and microaggressions in the classroom and clinical setting. The aim of the CHARM project is to provide a toolkit for nursing students regarding how to respond safely and effectively to microaggressions. Method The use of eLearning and simulation games have successfully been used to provide education and problem-solving skills in healthcare when interacting with various groups of individuals. A group of seven nursing students are collaborating with faculty to develop an eLearning Toolkit and virtual simulation games (VSGs) focused on addressing racism and microaggressions. Results To date, the outline of a website that includes access to a pre-learning module and 5 VSGs have been designed. The pre-learning module includes definitions and education regarding the 6-step method to responding to microaggressions.4,5 The VSGs immerse the players into various scenarios where they are provided with options on how to respond in clinical situations and the potential consequences of the response they choose. Discussion This project is a work in progress, and it is hoped that this project will support nursing students, so that they feel less alone. In addition, we hope to improve their confidence and provide resources in managing encounters where racism and microaggressions occur.

Both literary translation and creation use language to shape artistic images, and artistic images are the crystallization of artistic thinking. Translation is not only cross-lingual transfer, but also conversion of thought. In novel translation, the translator's image thinking plays a vital role because of the characteristics of literary works. By the translation of Charles Frazier’s novel Nightwoods as an example, this paper illustrates how to make full use of four activities of imagery thinking (perception, association and imagination, emotion and harmony) during the translation process. By using of imagery thinking, the translation shows the charm and beauty of original works, and achieves images reproduction of novel character.

Generally speaking, in the field of art design, music and picture are two different forms of art design. It is very difficult to transform them. But with the rapid development of artificial intelligence in recent years, it is easy to realize the transformation of the two. Not only that, because of the wide application of artificial intelligence technology, the field of art design and creation is also assisted by artificial intelligence. Designers should learn to combine artificial intelligence technology in the process of learning design creative programming. This paper mainly discusses the research and development of art design under the background of artificial intelligence. By introducing the concept of illustration, the development of illustration and the forms of illustration, this paper briefly analyzes the changes in the performance style of illustration in different periods, and further analyzes the characteristics of the performance style of illustration under the background of visual culture era, which helps to improve the artistic charm and practical value of illustration design.

Under the background of quality education, music learning is also changing, from the original shallow learning to deep learning gradually. In-depth learning is a new teaching concept, which pays full attention to students’ perception and exploration of music so that students can fully experience the charm of music. It can not only help students master more music knowledge and improve their music skills but also cultivate students’ music literacy and enhance their music ability (Świechowski, 2015). Therefore, in junior high school music teaching, teachers should actively apply the deep learning model and then improve the teaching level and comprehensively cultivate students’ music literacy (Whitenack and Swanson, 2003). In this paper, two convolution-based deep learning models, Breath1d and Breath2d, were designed and constructed, and a multilayer perceptron (MLP) was used as a benchmark method for performance evaluation, and a long short-term memory (LSTM) network is applied for the classification task. This paper discusses the value and application strategies of deep learning in junior high school music teaching and hopes to provide some reference for all educational colleagues (Zhang and Nauman 2020).

The Chinese language is the most widely spoken language in the world. Its language forms and cultures are varied and diverse, and have a strong charm and vitality. This article select Chinese language vocabulary and writing culture form for the subject structure, do the research by three perspective of cultural forms--the vocabulary of Chinese language and expression form, the shape of the structure of the Chinese language and writing culture. We will combine the language and culture perception, and set forth on the unique culture of Chinese language expression, writing and the profound cultural connotation.

With the development of information analysis and processing technology to the application of unstructured data mining, big data has been paid more and more attention. The analysis and extraction of rare and extremely useful information from massive information has been widely used at home and abroad, and shows “amazing” effect and charm. This paper analyzes the current situation and common problems of information of industrial and commercial organs in China, and puts forward countermeasures and suggestions for the layout of big data technology application in the information construction of the 12th Five Year Plan.

The change of life style of the times has also prompted the reform of many art forms (including musicals). Nowadays, the audience can not only enjoy the wonderful performances of offline musicals but also feel the charm of musicals online. However, how to bring the emotional integrity of musicals to the audience is a technical problem. In this paper, the deep learning music emotion recognition model based on musical stage effect is studied. Firstly, there is little difference between the emotional results identified by the CRNN model test and the actual feelings of people, and the coincidence degree of emotional responses is as high as 95.68%. Secondly, the final recognition rate of the model is 98.33%, and the final average accuracy rate is as high as 93.22%. Finally, compared with other methods on CASIA emotion set, the CRNN-AttGRU has only 71.77% and 71.60% of WAR and UAR, and only this model has the highest recognition degree. This model also needs to update iteration and use other learning methods to learn at different levels so as to make this model widely used and bring more perfect enjoyment to the audience.

Coordination modes are the backbone of organization science but one of them, coordination by standardization, never received the attention it deserves. Standardization is most often associated with Taylorism, sometimes with the standardization of the competencies of professionals, but it is seldom seen as one of the most nuanced, subtle and effective activities in which organization members can engage. We show that standardization is often employed by top management in order to steer organizations without falling into the pitfalls of micromanagement, and that standardization is eventually brought about by low-level members of the hierarchy who manage to influence the structure of shared resources. We illustrate our points with a series of detailed examples.

Este artículo tiene como objetivo examinar la forma en la que los documentales de naturaleza participan de la progresiva espectacularización de los formatos televisivos a través del estudio de Seaway (González y Rodríguez, 2014), una serie documental española de 13 capítulos sobre el mundo submarino. Para ello se ha procedido al análisis cuantitativo y cualitativo de las herramientas visuales, narrativas y sonoras usadas por este tipo de productos para atraer y seducir al espectador. El estudio de estas cuestiones ha permitido constatar la presencia de las formulas tradicionales así como descubrir las nuevas tendencias utilizadas por el lenguaje documental para plasmar el mundo marino de forma amena y atractiva tal y como exigen los nuevos cánones televisivos. This article aims to examine how documentaries on nature participate in the progressive "showization" of television formats through the study of "Seaway" (Gonzalez y Rodriguez, 2014), - a Spanish 13-chapters documentary series about the underwater world. To this end, we proceeded to the quantitative and quality analysis of those visual, narrative and sound tools that these products use to attract and charm the audience. The study of these questions allowed us to verify the presence of traditional formula, as well as to uncover those new tendencies that the documentary language uses to embody the underwater world in an entertaining and engaging way - just as required by the new television standards.

Chinese watercolor painting is different from other art types and has a unique artistic language. The creator's cognition of things directly determines the form of expression of the painting. This paper makes a specific analysis according to this point of view. Explore the development track of Chinese watercolor paintings, analyze the impact of different forms of expression on the aesthetic value of paintings, judge the creator's subjective thinking logic according to the intention expression of objective situations, show the creator's unique charm through paintings, arouse the resonance of the audience, discuss the forms of expression of artistic language in Chinese watercolor paintings, and provide new ideas for development.

Traditional Chinese portrait is popular all over the world because of its unique oriental charm. However, how to use neural network to express the aesthetic and feelings in instantiated Chinese portrait effectively is still a challenging problem. This paper proposes a Photo to Chinese Portrait method (P-CP) providing immersive traditional Chinese portrait painting experience. Our method can produce two groups intriguing pictures. One is Chinese Portrait Style Picture, the other is Immersive Chinese Portrait Picture. We pay attention to neural style transfer for traditional Chinese portrait for the first time, and have trained a fast feedforward generative network to extract the corresponding style. The generative network principle is explored to guide the style transfer adjustment in detail. Face replacement is added to form a more appealing stylized effect. We also solve the problems of color and light violation, and unnatural seam. We hope this work offers a deeper and immersive conversation between modern society and antiques, and provides a useful step towards related interdisciplinary areas.

Guqin is a kind of Chinese seven-string bridgeless zither with a history of more than 3000 years. This paper describes the design and implementation of a novel virtual Guqin application, based on Kinect sensor, aiming to arouse user‘s interest in Guqin. The player’s gestures are tracked, and when the system generates the data and feeds it back to the audio library, the performance is complete. Players can engage in the charm of the virtual instrument through natural interaction without being restricted by domain knowledge, equipment or site. Finally, this paper carried out a user study to prove that this system has a significant performance in enhancing the interest of players.

The case is a scene in the Old Summer Palace that no longer exists in the world-Huifang Academy, combined with the ancient pictures of one of the forty scenes of the Old Summer Palace that have been handed down to restore this scene in the most beautiful garden in the East. We used the current popular next-generation art technology combined with the rendering effects of the Unreal 4 engine and the VR architecture to restore Huifang Academy, and strive to restore. We also refer to the architectural structure characteristics and culture of the Ming and Qing Dynasties to make architectural models, and according to In time and month, we also rendered 24 display pictures representing 24 solar terms. And output runnable VR/AR files, panoramic pictures, 360 videos, etc., to show the charm of VR tourism.

The SHL recognition challenge 2020 was an open competition in activity recognition where the participants were tasked with recognizing eight different modes of locomotion and transportation with smartphone sensors. The main challenges were that the training data was recorded by a different person than the validation and test data, and that the smartphone location in the test data was unknown to the participants. We, team "Third time's a charm", tackled the first challenge by attempting to identify the persons with clustering, and then performed cluster/person-specific feature selection to build a separate classifier for each person. The smartphone location appears not to make much difference. We also used semi-supervised learning to classify the test data. Internal tests using this methodology yielded an accuracy of 81.01%.

International audience; NAMD is a molecular dynamics program designed for high-performance simulations of very large biological objects on central processing unit (CPU)-and graphics processing unit (GPU)-based architectures. NAMD offers scalable performance on petascale parallel supercomputers consisting of hundreds of thousands of cores, as well as on inexpensive commodity clusters commonly found in academic environments. It is written in C++ and leans on Charm++ parallel objects for optimal performance on low-latency architectures. NAMD is a versatile, multipurpose code that gathers state-of-the-art algorithms to carry out simulations in apt thermodynamic ensembles, using the widely popular CHARMM, AMBER, OPLS and GROMOS biomolecular force fields. Here, we review the main features of NAMD that allow both equilibrium and enhanced-sampling molecular dynamics simulations with numerical efficiency. We describe the underlying concepts utilized by NAMD and their implementation, most notably for handling long-range electrostatics, controlling the temperature, pressure and pH, applying external potentials on tailored grids, leveraging massively parallel resources in multiple-copy simulations, as well as hybrid QM/MM descriptions. We detail the variety of options offered by NAMD for enhanced-sampling simulations aimed at determining free-energy differences of either alchemical or geometrical transformations, and outline their applicability to specific problems. Last, we discuss the roadmap for the development of NAMD and our current efforts towards achieving optimal performance on GPUbased architectures, for pushing back the limitations that have prevented biologically realistic billion-atom objects to be fruitfully simulated, and for making large-scale simulations less expensive and easier to set up, run and analyze. NAMD is distributed free of charge with its source code at www.ks.uiuc.edu.

The women in Yan MO’s novel Frog are unique in artistic charm. He embodies the existence of women in Gaomi, Northeastern County, reveals the absurd survival predicament the women facing under different backgrounds and shows his compassion for life. The text of this novel is featured by distinct feminine poetic narration. This paper studies the feminine poetic narration presented in this novel through intensive reading. This study is carried on through four aspects: the poetic imagination of great mother and life, the model of legendary narration, poetic presentation of female life stream, and the construction of female image world.

Peepshow is the result of the accumulation of multiple cultures. It is the product of the development of the art form to a certain degree due to the urgency of the aesthetic needs of the public art and the urgency of demand of the upper class society on novel art. As a form of media art, it had played a very active role in cultural communication in a certain social period. With the progress of the times, it has gradually evolved into a folk art culture. The protection and inheritance of the peepshow as an intangible culture is our present task. The peepshow art, the originator of modern computer animation, has a unique artistic charm in traditional art. Below it is planned to study the comparison between the peepshow art and modern computer animation.

St. Petersburg retains its charm created at the beginning of its construction and follows its original planning. In the process of traffic development, St. Petersburg advocates a green travel mode without destroying the traditional style, historic buildings, and urban landscape of the city. It integrates all kinds of traffic modes conveniently and harmoniously. In conclusion, St. Petersburg has the following characteristics in terms of transportation and urban landscape: (1) development under the guidance of planning; (2) St. Petersburg attaches great importance to the architectural monolithic and street landscape; (3) road design fully guarantees the needs of pedestrians, making the city very welcoming and people-friendly; and (4) it gives priority to the development of public transport.

Video mapping technology has been widely used in recent years due to its combination of real and virtual and massive information. As a new subject of Shanghai’s urban humanities, “Architecture Studio” aims to protect and promote the old architectural features and charm inherent in the city culture, thus showing the new cultural style of the city. In one of the never-widening roads of Shanghai—Wukang Road is erecting numerous western-style houses rich in design and cultural connotation. The Wukang Building, one of the representative works, boasts of historical and cultural significance and characteristics of architectural art. From the perspective of the combination of video mapping technology and the humanities topic of “Architecture Studio”, based on 3D printing model of Wukang Building, this paper studies and stages the video mapping of light and shade show, the Unique Wukang Building, and explores the application of video mapping technology in the theme of “Architecture Studio” so as to highlight the connotation of an excellent historical building powered by the new media display technology for better charm, and at the same time impress the viewer with more novel architectural display mode.

Chatbots are software programs with a conversational user interface, typically embedded in webs or messaging systems like Slack, Facebook Messenger or Telegram. Many companies are investing in chatbots to improve their customer support. This has led to a proliferation of chatbot creation platforms (e.g., Dialogflow, Lex, Watson). However, there is currently little support for testing chatbots, which may impact in their final quality.

The article is devoted to the study of the peculiarities of the concept CHARM verbalization in English-language learner’s dictionaries. The research has been done on the material of Cambridge Advanced Learner’s Dictionary & Thesaurus and Collins Cobuild Advanced Learner’s English Dictionary. The communicative specificity of learner’s dictionaries consists in their targeting to a clear segment of the readership. These are non-native speakers of English, studying it as a foreign language and living outside the area of its functioning, and, therefore, outside the situational context. The features of users to whom learner’s dictionaries are addressed determine the content and presentation of lexicographic material, which is aimed primarily at expanding the vocabulary of the reader and, moreover, familiarizing him more closely with the culture of English-speaking society. The analysis of the verbalization of the CHARM concept in English-language learner’s dictionaries showed that the MAGICNESS “magic, witchcraft” (a feature that is inexplicable, akin to magic) and ATTRACTIVENESS (a feature associated with a person’s psychological ability to attract others) are decisive cognitive features of the CHARM concept in English). The sememe charm = the power or quality forms a wide range of derived lexical units – mono-lexemes and phrases with the charm component. The synonymous series of the charmer lexeme is formed by allurer, enticer, inveigler, smoothie, sweet talker, heart-throb, lady-killer nouns, which refer to the characteristics of only males. In turn, charming female human beings are named as a sweetie, a sweet girl, pippin, sweetpie, sweetie pie, lovey, honey, dearie. Gender neutral nomination is cutie. Such options as a little charmer, little kiddie charmers, little angel are used to denote charming children.

The play of Antonine Maillet La Sagouine was written over 200 years after the brutal expulsion of the Akadians from Canada. The heroine of the monodrama is an Akadian called Sagouine, a laundress and a wife of a fisherman. She never learnt to read or write. She can however narrate and does so with a lot of charm. The play is full of descriptions of people and situations, which strongly act on the imagination of the receiver contributing to the rhetorical function of placere. Stylistic treatments used by the heroine to revive descriptions arise from the cultural context (the heroine often emphasizes her lack of any education) and the particular viewer, and the descriptions themselves are an example of the creation of hypotyposis by modest means. Thus the article stresses that hypotyposis is not a figure reserved only for “great” classical works, but is also used in contemporary literature, the theater, or, as in the case of La Sagouine, in radio broadcasting. Sztuka teatralna Antonine Maillet La Sagouine napisana została ponad 200 lat po brutalnym wygnaniu Akadian z Kanady. Bohaterką tego monodramu jest Akadianka nazywana Sagouine, praczka, żona rybaka. Nigdy nie nauczyła się pisać ani czytać. Potrafi natomiast opowiadać, i robi to z dużym wdziękiem. Sztuka pełna jest opisów osób i sytuacji, które silnie działają na wyobraźnię odbiorców przyczyniając się do retorycznego placere. Zabiegi stylistyczne używane przez bohaterkę w celu ożywienia opisów wynikają z kontekstu kulturowego (bohaterka często podkreśla swój brak jakiegokolwiek wykształcenia) oraz określonego widza, a same opisy są przykładem stosowania dwóch figur, ekfrazy i hypotypozy, za pomocą skromnych środków. Tym samym artykuł podkreśla, że hypotypoza nie jest figurą zarezerwowaną dla „wielkich” dzieł klasycznych, ale znaj- duje zastosowanie we współczesnej literaturze, teatrze, czy, jak w przypadku La Sagouine, w audy- cjach radiowych.

As a new technology, virtual reality technology development has been the concern of researchers in different fields, and its application in the field of teaching has been the focus of people. On one hand, the virtual reality technology itself has unique charm and feature, which has attracted a large number of experts and scholars to explore its application in education. On the other hand, the teaching of compulsory courses in universities is faced with the shortage of teaching resources and the low enthusiasm of students. Especially in the experiment teaching process, circuit experiment plays an important role in understanding the theoretical knowledge, at the same time, let the student to independently explore unrestrictedly by time and resources as well as the important direction of future development. From this perspective, this article summarizes the development of virtual reality technology at home and abroad in today’s teaching system, with the help of unity3D and rhino, the simple teaching system is achieved. I take “Digital Circuit Technology” as the main body, and the whole design is also based on it. Through the simulation of the virtual classroom, virtual experiment box, typical chip and other structures, the learning system makes students to choose the experimental time and place freely. At the same time, students can strengthen the ability of innovation and logical thinking, start a vivid, strong interactive, efficient teaching mode. In unity3D, I achieved many interactive functions such as interface jump, output control with the development language C#.

Poetic line drawing is a great challenge in translation since its simplicity and realism not only use the simplest words to concisely depict the fact but also enable readers to understand in numerous ways. Taking Tianjingsha·Qiusi as an example, this paper discusses the translation strategies of line drawing in poetry from the perspective of transitivity. By the comparison of three translations, it is found that line drawing can trigger multiple processes in the mental cognition of readers, and in most cases, different translators tend to maintain a certain process type and abandon others, which might lead to some loss of the poem’s original charm and the translation turns out to be inaccurate. However, our study shows that such loss can be remedied through form equivalence strategy, for neither of the process types can be representative of all but only form equivalence can generate the same effect of the original poem.

The article is dedicated to the contrastive study of the linguocultural concept CHARM / ЧАРІВНІСТЬ in the English and Ukrainian languages. The work considers notional features of the given concepts on the basis of componential analysis of the lexemes-nominations. In modern linguistics “concept” is defined as a mental unity which consists of heterogeneous units. The complex structure of any concept includes different features, such as motivational, notional, associative and evaluative. Notional features are foregrounded in the dictionary definitions of the lexemes-nominations as a system of semantic components (semes) and in the synonymic nominations. The lexemes charm and чарівність are direct nominations of the corresponding concepts in the English and Ukrainian languages. The study of their etymology, dictionary definitions and lexical valency is the most informative way of revealing the structure of the analyzed concepts.

Additive technology is a fast-growing industry that is currently available to everyone. While in developed countries they enjoy the full benefits of 3D printing, in Kazakhstan, not many people know about the charm of its use. 3D printing in the world has developed in various fields of use, from furniture in your home to a heart made of biomaterials. Interest in 3D printing in Kazakhstan is also growing, and based on the development scenario in the world, you can make an assumption of how it will develop. Reading this analysis will help to make a summarize what stage relative to other countries is a developing country like Kazakhstan is located.

The design of the guide sign system is essential to ensure a good interaction mechanism between the user, the space and the sign guidance system, which helps the user complete the spatial positioning and path finding behavior through systematic information transfer. Based on the concept of campus guide sign system, the factors affecting system performance are summarized in the paper. The good strategies of Korean university sign guidance systems are analyzed from function, vision and culture. It is proposed that the college sign guidance system should be designed from the three dimensions of information interaction, visual expression and cultural inheritance considering the relationship between people and campus space, which can become a card to convey the charm of the campus.

Mobile devices have become an enormous platform for augmented reality (AR) technology to meet the need of users to experience the charm of AR technology in anytime and anywhere. However, the development of mobile AR technology is currently in a dilemma. Both extensibility and real-time are often challenging to be taken into account. In our study, we explored cloud-based solutions and designed two systems, S-MARC, and D-MARC. The first system boldly tried the idea of cloud technology supporting mobile AR and explored more possibilities for combining location information. The cloud-based mobile AR design optimization scheme is proposed in our study details. Besides, we invited some users to carry out experimental studies, and their user evaluations showed that the mobile AR cloud solution was implemented in both systems and received excellent feedback in the review. The results show that the proposed two schemes are superior to others in the performance and efficiency, and help to improve the current dilemma of mobile AR and build up users' confidence in the application of mobile AR.

Background The norms by which nursing education and research have been conducted are changing More nursing schools are offering online and blended online/face-to-face programs with a shift in research from individual endeavors to a team-based approach. The changing landscape of nursing education and research requires more planning and adherence to schedules and timelines. A framework outlining efficient means to approach team-based nursing research in the academic setting that is reflective of the emerging blended environment is needed. Purpose This paper discusses the development of the Condensed Heuristic Academic Research Model (CHARM) framework and shares the experiences of one research team's use of the model in completing a five-component research project in one academic semester. Discussion Employment of the framework facilitates the development of time-management, scholarship, mentorship, and collaborative skills for emerging nurse resarchers, current scientists, and faculty members. Conclusion The CHARM framework is a model that addresses the needs of emerging and experienced nurse researchers and fits well within the new digital and in-person environment of nursing research and education.

This study combines qualitative analysis with quantitative model. 44 college students were selected as interviewees. The qualitative analysis was carried out by NVivo. The main influencing factors of online payment education behavior of five users were extracted and questionnaires were sent out. Using 242 valid questionnaires collected, combined with Kano model and IPA analysis, the influencing factors model of satisfaction is constructed, and the user needs are prioritized and relevant suggestions are given. The results show that curriculum system, communication, interaction, and teachers are indispensable quality elements, one-dimensional quality elements and charm quality elements to enhance user satisfaction, respectively, while the performance of the system is indifferent quality elements.

Parallel programming frameworks such as MPI, OpenSHMEM, Charm++ and Legion have been widely used in many scientific domains (from bioinformatics, to computational physics, chemistry, among others) to implement distributed applications. While they have the same purpose, these frameworks differ in terms of programmability, performance, and scalability under different applications and cluster types. Hence, it is important for programmers to select the programming framework that is best suited to the characteristics of their application types (i.e. its computation and communication patterns) and the hardware setup of the target high-performance computing cluster. In this work, we consider several popular parallel programming frameworks for distributed applications. We first analyze their memory model, execution model, synchronization model and GPU support. We then compare their programmability, performance, scalability, and load-balancing capability on homogeneous computing cluster equipped with GPUs.

Animation mise-en-scene is in the system of animated audio-visual language, but it has its own characteristics in the process of expressing meanings and information. Though the form of animation mise-en-scene is pictorial, it also has its own features on the mind of constructing film space and scene. All these characteristics mentioned above are the key points of this paper. Whether it is the motility, subjectivity, description, spatiality, symbolism, contrast or economy, it reflects the unique charm of animation mise-en-scene. This paper focuses on concluding the characteristics of animation mise-en-scene, the thinking way that animations are different from other film, and the unique rule of animated audio-visual language in order to create more fantastic domestic animation films.

Gamification design enhances the user’s interest in things and thus makes the culture more widely available and easier to understand. This work attempts to transform a traditional viewing experience of scroll paintings into an immersive and playful interaction, allowing viewers to better appreciate these scroll paintings and understand the history behind them. We designed an immersive cultural heritage digital experience device, taking the “Han Xizai evening banquet” as an example. We hope to find an interesting method to encourage viewers to explore these paintings proactively by the interactive exhibition. It also helps the public to understand the charm of Chinese traditional paintings better.

Synthetic biology is an engineering view on biotechnology, which has revolutionized genetic engineering. The field has seen a constant development of metaphors that tend to highlight the similarities of cells with machines. I argue here that living organisms, particularly bacterial cells, are not machine-like, engineerable entities, but, instead, factory-like complex systems shaped by evolution. A change of the comparative paradigm in synthetic biology from machines to factories, from hardware to software, and from informatics to economy is discussed., This research was funded by the European CSA on biological standardization BIOROBOOST (EU grant number 820699).

Starting from the overview, this article explains the connotation of computer vision art and computer animation, and discusses the practical application of computer vision art in emoticon animation, in order to reflect the charm of the integration of technology and art, provide some value for the research in related fields.

In modern life, technology development is still the need for ceramics. Some artist's use ceramics as a business person in the field of contemporary art are numerous. Ceramics, it can see through daily life—the technology as one of the four ancient civilizations. The previous work is significant contribution to the progress and development of human society. This is before describes the installation of the ceramic art of fusion in product design. The proposed work, there are certain limitations to the design philosophy and craftsmanship, has its charm, Value, artistic aesthetics, cultural implications, designers need to develop inherited. The proposed FPGA (Field Programmable Gate Array) and CNN (Convolutional Neural Network) are used to develop the design and accessible interfacing data ceramic technology without any complex. FPGA is one of the most promising platforms to accelerate the CNN, but limited bandwidth and on-chip memory will limit FPGA accelerator CNN's performance. In terms of energy saving, experimental results, this method shows that it has some of the advantages of higher performance than saving and conventional manual detection system time and money.

Chinese piano works are closely related to folk music. In piano education, Chinese piano works should be analyzed from the perspective of ethnomusicology to guide the students to accurately understand and feel the characteristics and charm of national music culture. This paper probes into the unique national cultural characteristics, national musical styles and musical aesthetic characteristics of Chinese piano works.