Reviewerly/exHarmony huggingface dataset:
Renormalized Von Neumann entropy with application to entanglement in genuine infinite dimensional systems

Abstract A renormalized version of the von Neumann quantum entropy (which is finite and continuous in general, infinite dimensional case) which obeys several of the natural physical demands (as expected for a “good” measure of entanglement in the case of general quantum states describing bipartite and infinite-dimensional systems) is proposed. The renormalized quantum entropy is defined by the explicit use of the Fredholm determinants theory. To prove the main results on continuity and finiteness of the introduced renormalization, the fundamental Grothendick approach, which is based on the infinite dimensional Grassmann algebra theory, is applied. Several features of majorization theory are preserved under the introduced renormalization as it is proved in this paper. This fact allows to extend most of the known (mainly, in the context of two-partite, finite-dimensional quantum systems) results of the LOCC comparison theory to the case of genuine infinite-dimensional, two-partite quantum systems.
Retracted: Research on the Throwing Technique of High-Pole Hydrangea Champion Team in the 12th Students’ Games of Guangxi

[This retracts the article DOI: 10.1155/2022/6422746.].
Phonotacticon: A cross-linguistic phonotactic database

Abstract Phonotacticon is a cross-linguistic database that contains basic phonotactic information about spoken lects (linguistic varieties), including the possible forms of the onset, nucleus, and coda of each lect, as well as the phonemic and tonemic inventories. In this paper, we present Phonotacticon 1.0, which contains the phonotactic profiles of 516 Eurasian lects retrieved from descriptive literature. The later versions of Phonotacticon will extend beyond Eurasia and will ultimately cover most of the spoken lects that are spoken across the world. As an example of the research potential of this database in future studies, we have generated from Phonotacticon several descriptive visualizations, such as the distribution of the maximal onset length, to demonstrate the visually discernible areal distribution of certain phonotactic patterns.
Expunged ‘by design’: on the potential of AI to be a partial enabler in the expungement process

Expungement, which traditionally permitted reintegration into society and the turning over of a new leaf – thus giving a second chance to people who had had the misfortune to fall foul of criminal justice systems – is a legal institution that is currently being undermined. As the cyber-vetting of potential employees is a growing trend, employers readily turn to the internet in order to seek information about job candidates. In this article, the role of expungement in legal systems and society will be examined, as well as the changing reality that is undermining expungement, in order to determine how the issue of expungement should be addressed. In particular, the article discusses the possibility of expungement being incorporated in search engines (including AI chatbots) and in the actual design of AI recruitment tools in order to facilitate the re-entry of ex-offenders into the employment marketplace.
Tertiary Students' Deficiency in English Emphatic Listening Skills of NLP Matching and Mirroring Technique

Active Empathic listening is an activity that combines traditional active listening procedures with the element of empathy, which will result in a higher form of listening (Drollinger, Comes &amp; Warrington, 2006, p.162). Drollinger et al. conceptualized AEL (active empathic listening) as a three-stage activity: sensing, processing, and responding. Empathic listening helps us to listen and understand how others feel. It is one of the most essential social skills we need to maintain healthy relationships with others. Empathic listening helps us to relate to those around us more healthily and effectively. Empathic listening helps to get into a conversation, especially with college students. This research will use a Google form as a questionnaire instrument filled out by participants. The research reveals that participants rarely heard about Empathic Listening and used it in conversation because it was never heard and learned before; some say it is not interesting to learn.
Sistem Rekomendasi Jurusan SMK Menggunakan Metode Content-Based Filtering Di Kabupaten Sleman

Research background education is an important aspect for society. One level of further education is a vocational high school (SMK). There are many things that need to be considered in choosing a vocational high school, such as choosing a major based on interests, talents and abilities. In this study, the content-based filtering method was applied because it is suitable for use in cases and situations where there are more users than the system, thus allowing the system to determine the interests, talents and abilities of users based on their profile. Search for SMK majors by users (students) is more accurate, because the application can make recommendations about content that will become the core of the system when making recommendations. The purpose of this research is to build a recommendation system for junior high school students by developing a content-based filtering system that can provide major recommendations based on the students' interests, talents and abilities. It can be concluded that the department recommendation system using the weighting technique and the calculation of the Euclidean distance can provide recommendations to users according to the interests, talents and abilities of the users themselves.
LINGUISTIC FEATURES OF INTERNET-DISCOURSE

The thesis is devoted to the study of the linguistic features of Internet discourse at the lexical, graphic, and grammatical levels. The changes that caused the active spread of social networks and websites in English are analyzed in detail. A well-grounded analysis of lexical-semantic and graphic means of online communication made it possible to understand the trends of popular social networks in more detail. The English language has been directly and powerfully influenced by online communication. Social consolidation factors have determined the main influence of the English language on the Internet in general. Being the territorial native language of the founders of famous websites and social networks, it is used most actively. English-speaking users were among the first to have access to virtual communication and laid the foundation for the creation, development and spread of the Internet language. This explains the special attention of linguists to English-language platforms. The general features of the Internet English language, which is characterized by changes at the lexical, grammatical or graphic levels, have been studied. The conducted linguistic analysis of posts on popular social networks revealed the following patterns of English-language Internet discourse, namely: 1) the use of a large number of neologisms (formed by affixation and word formation); 2) frequent use of acronyms and abbreviations; 3) pseudonyms (or nicknames) are an important feature of communication on the Internet or chat; 4) special cases of using punctuation marks, lowercase and uppercase letters, emoticons (smilies) and non-alphabetic graphic signs; 5) capitalization, hyphenation, various types of memes and gifs were detected; creolized memes are the most common; 6) at the grammatical level, frequent omission of punctuation and violation of grammatical norms of the English language. Interaction on the Internet often replaces real communication needs. Internet English reflects the general tendency to economize language and illustrates the creativity and originality of Internet users.
APPLICATION OF SEMANTIC MODELS IN LITERARY STUDIES AND EXPERTISE OF COPYRIGHT OBJECTS

The article examines the application of semantic models in the fields of copyright expertise and literary analysis. The content showcases various types of semantic models utilized for text analysis, such as Latent Semantic Analysis (LSA), topic modeling, named entity recognition (NER), sentiment analysis, and dependency parsing. While each model has its own advantages and drawbacks, challenges in their utilization exist, such as over-reliance on quantitative analysis, model biases, lack of contextual information, and potential misinterpretation of meaning. Nevertheless, semantic models have significantly impacted the field by enabling the identification of instances of plagiarism and copyright infringement more efficiently and accurately. The overview presented in the publication on the essence and peculiarities of using semantic models in copyright expertise and literary analysis allows for the following conclusions. Semantic models significantly improve the efficiency of text analysis. These models use advanced technologies to identify structural patterns, themes, and similar elements in texts, as well as allowing experts to gain a deeper understanding of the works they are analyzing. In the field of copyright expertise, semantic models are used for analyzing significant volumes of text and identifying possible copyright infringements. Although semantic models have many advantages, they also have functional limitations. It is important to be aware of these limitations and use analytical models in combination with other methods to ensure a more comprehensive understanding of the text. There are several ways to address possible problems with using semantic models, including combining quantitative and qualitative analysis, using multiple models at once, taking into account selection biases of analytical information, studying the broader context, and additional verification of results by human experts. Ultimately, the use of semantic models in copyright expertise and literary analysis has enormous practical value, but it is important to be aware of their limitations and use them in conjunction with other analysis methods to ensure the most objective and comprehensive research. As technology develops, new and more advanced semantic models will be developed that will allow for even more detailed analysis of texts.
FORMATION OF LIFELONG LEARNING COMPETENCES IN THE PROCESS OF PROFESSIONAL TRAINING OF FUTURE TRANSPORT SPECIALISTS

The purpose of this study was to design and experimentally test the effectiveness of a model for forming lifelong learning competences in future transport specialists in higher education institutions. The study presents the authors’ vision of the structure of lifelong learning competences for transport specialists, identifies the pedagogical conditions for forming lifelong learning competences, and designs a model for forming such competences. It is proven that the effectiveness of forming lifelong learning competences in future transport specialists significantly increases when active learning methods and innovative information and computer technologies are applied in the process of professional training. The most significant pedagogical conditions for effective formation of lifelong learning competences are identified as: pedagogically-driven motivation of future transport specialists to form and develop lifelong learning competences, implementation of methods that contribute to the formation and development of such competences in professional training, and formation of professional qualities in future transport specialists based on conscious perception of universal and professional values. The authors argue that there is a necessary effective link between employers and higher education institutions for collecting and analysing structural and functional changes and shifts in professional activities. The creation and maintenance of such a link will allow higher education institutions to more effectively respond to changes in labour market demands and ensure a high level of professional training for their graduates.
Research on Joint Modeling of Intent Detection and Slot Filling

Abstract In task-based dialogue system, the key of the natural language understanding module is intent detection and slot filling. At this stage, Joint modeling of intention detection and slot filling tasks has become the mainstream and achieved good results. In order to investigate the correlation between intention detection and slot filling tasks, Joint model of intention detection and slot filling based on attention mechanism in three dimensions: one-way modeling from intention to slot, Unidirectional modeling from slot to intention and bidirectional modeling from intention to slot Separately. And experiments were conducted using the Chinese dataset CAIS, and the results showed three evaluation results for time slot F1.The intention accuracy and overall accuracy of joint models for intention detection and filling gaps are usually higher than those of unidirectional models.
Implementasi Keamanan di Cloud Storage Menggunakan Algoritma Key Public Berdasarkan Block Cipher

Cloud computing is a new era of the modern world. It is an emerging paradigm and has become one of the hottest research to date, because of its ability to reduce the costs associated with computing. The main issues associated with cloud computing are data privacy, security and authenticity. The aim of the researcher is to find out how the model of cloud data storage and data security of cloud computing systems. In this research, researchers propose an efficient method for providing data storage. Security in cloud computing uses a new public key algorithm based on a linear block cipher. This algorithm has been proven by previous studies such as Data encryption, E-commerce, Digital signature. In research, researchers apply the same algorithm, namely cloud computing. In this algorithm several important security services are included such as key generation, encryption and decryption provided in the cloud computing system. The scope of this research is to solve security problems in cloud provisioning and cloud consumers by using new cryptographic methods.
Perancangan Sistem Keamanan Website Dengan Metode Hill Chiper

Security is a protection of something that is considered bad or unfavorable and can be detrimental. A website collection of site pages, which are usually summarized in a domain or subdomain, which is located within the World Wide Web (WWW) on the Internet. The WWW consists of an entire website that is publicly available. along with the development of the times the website is increasingly developing through the hands of programmers and developers so that the website is easily accessible, the Hill cipher is a polygraphy based on linear algebra. Each letter is represented by the modulo number 26. With a simple scheme A = 0, B = 1, ..., Z = 25 is used, each block of n letters (considered an n-component vector) multiplied by an inreversible matrix n × n, against a modulus of 26. The Progress of the Times, especially in the field of Technology, makes many people try to steal websites, in an unexpected way and can harm programmers or developers, therefore researchers make applications as a solution to maintain website security by using the Hill Cipher Cryptography method type symmetric encryption algorithm. and for its safety to be better, So the researcher added the 3x3 order as a verification of data encoding. So that programmers and developers can maintain and protect the website that has been created.
Kajian Kebutuhan Aplikasi Pembelajaran Berbasis Android Untuk Meningkatkan Kemampuan Pemecahan Masalah Dan Minat Belajar Matematika Peserta Didik

In learning mathematics, it is required to have problem solving skills and interest in learning mathematics because it can help students achieve better learning achievements. One of the reasons for the low problem solving ability and interest in learning mathematics among students is that the teaching materials still use books. Therefore, the purpose of this study was to examine the need for an Android-based learning application to improve problem solving skills and students' interest in learning mathematics. The research subjects were students of class 10 MIPA 2 SMA Negeri 1 Pengasih. Data collection techniques used interviews, observations, and distributing questionnaires as well as the results of students' daily tests. This study has several results. First, the learning application is considered interesting for students. Second, the teaching materials used today are considered insufficient to improve problem solving skills and students' interest in learning mathematics. Third, 89% of students are interested if the material is packaged into a learning application. From this study it was concluded that learning applications need to be applied to improve problem solving abilities and students' interest in learning mathematics.
Sistem Pakar Pengidentifikasian Jenis Kulis Wajah Dalam Pemilihan Msglow Series Menggunakan Naïve Bayes

There are still many problems with choosing treatment products that do not match the needs of their skin and skin type. Some people follow what their friends do or what is popular now, and numerous people still try to figure out their skin problems and types without first talking to an expert. Using MS GLOW Makassar as a case study, this research was done based on a needs history.&#x0D; The Naive Bayes method was used to make this system. The goal of designing a skincare selection expert system was to apply and use an expert system so that experts and non-experts could use it to choose skincare based on skin type.&#x0D; Based on 30 costumer data that the system and experts have tested by applying Naive Bayes, the accuracy rate was 100%
Sistem Pakar Diagnosis Penyakit Diabetes Mellitus Dengan Menggunkan Metode Naive Bayes Berbasis Web (Studi Kasus : Puskesmas Kecamatan Sambit Ponorogo)

Diabetes mellitus is a disease characterized by high blood sugar (glucose) levels. DM is known as the silent killer because the sufferer is not aware of it and is identified when complications has already occured.Complications experienced by patients at the Sambit District Health Center were based on the results of interviews. 20% of patients at the Sambit District Health Center suffered from complications. This increasing number is due to delays in diagnosis and unhealthy lifestyles as well as a lack of information so that many patients are diagnosed after complications occured. Early diagnosis will reduce the risk of complications. From this point, an expert system is needed as a diagnostic tool whether the patient suffers from diabetes mellitus or not. Based on this problem, the Naive Bayes algorithm is chosen because it is based on classification by comparing old data and new data, and from this problem the compiler classifies a person who suffers from Diabetes Mellitus with those who are not at the level of symptoms suffered by looking at the events that have passed. From the results of tests that have been carried out from 20 patient data, the percentage of accuracy of the system is 100% (based on facts and symptoms). From this study, it can be concluded that diabetes mellitus is a dangerous disease and still requires early prevention.
Penerapan Metode Rapid Application Development Dalam Membangun Website E-Commerce

Information technology has been used by all aspects of life and has become an inseparable part of all community activities, especially in the business world. Currently, marketing and product promotion activities are still using banners and social media and reporting activities are still being done manually. This causes a waste of promotional costs and the accuracy of the report data may not be in line with changes in existing data. For this reason, an electronic sales information system (E-Commerce) was designed using the Rapid Application Development (RAD) method using the PHP programming language and MYSQL database. The program designed will produce an E-Commerce sales system that will help the sales system run, as well as a clear bookkeeping report to the leadership. With this new system, it is hoped that there will be changes in sales governance and reporting for the better.
Sistem Pakar Penentuan Jenis Kulit Wajah Menggunakan Metode Dempster Shafer

Omah Milla is a beauty treatment center that provides services from head to toe. One of the existing facilities is consulting services to determine the right treatment, but until now the consultation facility is only served offline. In order to continue to develop in improving services, Omah Milla wants to present an online consultation system that can be accessed by everyone so that customers can consult at anytime and anywhere. In addition, the general public can also use this system to check facial skin types, so they don't need to hesitate to determine the type of facial skin and use the right skincare.&#x0D; In this study, an expert system was created to determine the type of facial skin. The method used was the dempster shader. The flow of using this system is firstly the user is asked to choose the symptoms experienced, then the system processes it by calculating the dempster shafer and the results of the skin type can be directly seen by the user.&#x0D; This system has gone through the functionality test phase and everything is running and functioning well. To determine the accuracy of the system, the researcher compared 50 data from experts with an expert system and this study has an accuracy value of 100%.
RuleSet-based Recursive Quantum Internetworking

A scalable and robust infrastructure for arbitrary quantum communication and distributed quantum computation will realize enhanced as well as new applications that are beyond the reach of classical communication networks. Quantum internetworking, which achieves large-scale quantum networks by building recursively on smaller quantum networks, is a promising approach. However, there are two big difficulties: decomposing end-to-end quantum communication, which is actually a complex distributed computing spanning classical and quantum computing, into processing for each subnetwork; and supporting future network functionality sustainably. In this work, we propose design principles for a quantum internetworking protocol based on the quantum recursive network architecture (QRNA) utilizing the RuleSet-based approach. We design two distinct approaches for recursion in quantum networks, namely link- and node-recursion. We demonstrate how end-to-end Bell pairs are generated over our internetworking systems, and evaluate the scaling of inputs to the distributed processing, via implementation on the Quantum Internet Simulation Package (QuISP). Our subnetwork recursion demonstrates the long-term future scalability as the size of and demands made on the Quantum Internet.
Probability-aware Qubit-to-Processor Mapping in Distributed Quantum Computing

Quantum computing has exciting potential but a current technological hurdle lies in the limited number of qubits in a single processor. One way to address this challenge is to assemble small, specialized quantum processors into a larger computing system, named distributed quantum computing. In this work, we focus on a key problem in distributed quantum computing: how to map logical qubits of a specific quantum circuit to different processors in a heterogeneous quantum network with the goal of minimizing the overall communication overhead. To solve this problem, we formulate a probability-aware qubit-to-processor mapping model, where the communication overhead between each pair of processors is determined through probabilistic analyses based on the link entanglement generation rates. We also introduce a multi-flow routing protocol in our model to improve the overall entanglement rates. Afterward, we employ a multistage hybrid simulated annealing algorithm to minimize the total communication overhead. Lastly, we perform extensive simulations to show the superiority of our solutions under a wide range of system settings.