Reviewerly/exHarmony huggingface dataset:
«Interplanetarnye» khudozhestvennye i iskusstvennye yazyki v literature i iskusstve 1900–1920-kh gg. (Konstantin Tsiolkovskii, Aleksandr Bogdanov, Aleksei Tolstoi, brat'ya Gordiny)

In the history of culture, projects of artificial languages were mainly associated with the search for some universal and, if possible, ideal means of communication, as evidenced, in particular, by the projects of Rene Descartes, John Wilkins, Johann Martin Schleier, Ludwik Zamenhof, Edgar de Waal, Jacob Linzbach, and others. In the late nineteenth-early twentieth centuries, not only scientists but also science fiction writers, the first of whom was H.G. Wells, offered illustrations and sketches of fictional artificial languages. The esssay mainly examines cases of artificial languages employed for interplanetary communication that take place in Russian science fiction novels (“The Red Star” by Alexander Bogdanov and “Aelita” by Alexey Tolstoy). In addition, it covers experiments in the field of inventing an interplanetary language by Konstantin Tsiolkovsky in a number of popular science and fiction works, as well as by Wolf Gordin in his works on the pan-methodological language of AO. In line with the philosophical ideas of Roland Barthes about the discourse of power, as well as considering two types of sociolects and, accordingly, two types of languages (encratic and acratic), artificial languages are classified as acratic, since they are usually created in order to confront the mechanisms of power as such. The projects of the artificial and artistic (fictional) languages of the early twentieth century not only an attempted to find a language of communication between the inhabitants of different planets; they also urged to invent a universal means of language communication that would bring together the people of the East and the West who were separated by revolutions and wars.
Application of “Online + Offline” Teaching Mode in Undergraduate Course Construction

A series of reforms have been carried out in teaching mode, online teaching conditions, teaching methods, as well as assessment and evaluation. Through the teaching reform, this paper discusses how to take the network teaching platform as the support, take the students as the center, pay attention to the learning process, and emphasize “cooperative learning” and “process evaluation”. Therefore, students can self-study before class, deep participation in class and reflection and summary after class to improve the learning ability, practical ability and cooperation ability. Through this teaching mode reform, three transformations can be achieved: (1) transforming textbook into digital resources to support learning, (2) transforming teaching content to learning process and learning activities, and (3) transforming summative evaluation to process evaluation.
Hybrid Shearlet and SURE-LET for Image Denoising

Aiming at solving the problem that the shape feature will be lost while removing the noise in the image, this paper proposes a hybrid shear wave and sure let method. Many research has proven that Shearlets has better representation about distributed discontinuities than traditional wavelets, such as edges, and are ideal tools for edge representation. Therefore, the method proposed in this paper is as follows: firstly, the noise image is decomposed by shear wavelet to obtain from high to low frequency coefficients. Then we use Stein's unbiased risk estimation, which is an accurate and statistically unbiased MSE estimation. At the same time, it's only related to the noise image, not the clean image, to optimize the noise figure. Finally, the denoised image is obtained by inverse shearlet transformation. Experiments show that the proposed algorithm has more advantages than other algorithms.
Hernán Cortes online. Rasgos físicos y de carácter del conquistador.: Modelo de lectura crítica multimedia en línea para estudiantes universitarios

This article contains the basic text of an online course on the topic mentioned in the title of the article and is carried out within the scope of an international research project undertaken by the Universidad Panamericana de Mexico. The article is completed with the contents of a GOOGLE DRIVE platform accessible online at https://drive.google.com/drive/folders/1kbZFH2Kdq6qJ1Vd_aO8oe-XE6ymqDSWJ?usp=sharing for distance learning, consisting mainly of teaching materials, student exercises, a repository and joint teacher/student research projects. The aim is for the student, through the critical reading method, to develop critical thinking by comparing different versions of Cortes’ physical and character traits in order to learn about the history of New Spain and to reach personal criteria on the issue. To do this, we introduce the theory of critical reading, identify the physical traits and ways of being of Cortes and present the testimonies of the chroniclers of the time and the videos and films that have subsequently interpreted these traits and ways of being.
Download Freedom APK 2.0.8 ( %%currentmonth%% %%currentyear%%- Official Latest Version)

Freedom APK Download: As the name suggests, Freedom opens the world of bypassing in-app purchases in any rooted Android smartphone by 360 Super Root ...
Design and Implementation of Internet-oriented News Management System

The electronic news system is an information platform developed with the help of Internet technology based on the online information release needs of news propaganda organizations. Through the electronic news system, people can not only see the same information as regular paper newspapers, but also help realize the standardized management of news information, and bring convenience for readers and editors to inquire and read. In the daily work of ordinary new media, the personnel of various departments must categorize, typeset, store, and publish the massive news generated daily. The traditional management system wastes a lot of human resources when performing the above tasks. It may cause problems such as incorrect classification, cumbersome process, and data loss. Therefore, in order to solve the current problems of the news management system, this article analyzes the needs of the news management system. Then this article proposes an integrated news management platform consisting of six parts: news management, news preprocessing, news classification, news recommendation, user information management, and operation management. The test results show that the various performance indicators of the system have reached the requirements of the pre-demand analysis, which shows that the system designed in this paper is scientific and the function of the system is perfect.
Analysis of ServiceDesk Information System Success using Update DeLone and McLean Model Approaches

This research aims to analyze the success of the ServiceDesk Information System at Institut Teknologi Sepuluh Nopember (ITS) using An updated DeLone and McLean model approach. Data collection techniques are using questionnaires. The object of this research is the ITS ServiceDesk Information System. The subjects of this study are ITS Stakeholders, namely Lecturers, Students, Employees, and General Public, with a population of 1463 users, with 93 samples obtained from the Slovin technique. Analysis using Structural Equation Modeling (SEM) and Amos as a tool. The results showed that there was an influence between System Quality, Service Quality, and Information Quality on Use. Similarly, there are significant effects in System Quality, Service Quality, and Information Quality on User Satisfaction. Use is not affected by User Satisfaction because the System is Mandatory, this means the system is the only complaint system that exists without any other alternative. The significant influence is also shown by the Use and User Satisfaction with the greatest value on Net Benefits, this means that in an information system, User Satisfaction is proven to greatly affect the work of users, as well as the performance of the organization.
Session details: Theme: AI and agents: KRR - Knowledge representation and reasoning track

The topic of the track covers an important field of research in Artificial Intelligence: KRR is indeed a trending topic (for instance, its Argumentation-theory subfield). A similar dedicated conference is the International Conference on Principles of Knowledge Representation and Reasoning, but all the major conferences in AI (e.g., AAAI, IJCAI, AAMAS, ECAI) have KRR among their topics of interest. KRR track will be a venue for all the researchers and practitioners working on the fundaments (but also applications) of reasoning, and the cross-fertilization among different approaches (e.g., Argumentation and Belief Revision).
Source Credibility Matters: Does Automated Journalism Inspire Selective Exposure?

To examine whether selective exposure occurs when people read news attributed to an algorithm author, this study conducted a 2 (author attribution: human or algorithm) × 3 (article attitude: attitude-consistent news, attitude-challenging news, or neutral story) × 2 (article topic: gun control or abortion) mixed-design online experiment ( N = 351). By experimentally manipulating the attribution of authorship, this study found that selective exposure and selective avoidance were practiced when the news article was declared to be written by algorithms. Results revealed that people were more likely to select attitude-consistent news rather than attitude-challenging news and rated attitude consistent news stories as more credible than attitude challenging news for stories purportedly written by both algorithms and human journalists. For attitude-consistent gun-rights stories, people were more likely to expose themselves to human attribution stories rather than algorithmic attribution stories. Results also showed that source credibility partially mediated the influence of issue partisanship on selective exposure for gun stories. This study bears implications on the selective exposure theory and the emerging field of automated journalism.
Revitalization of Indonesian Navy Language School to Improve the Foreign Language Competence Supporting the Naval Defense Diplomacy

To result the foreign language competence for Indonesian Navy personnel, the education system in the Language School should be revitalized. The researcher found several problems causing the education process in the Language School not optimal in resulting the qualified graduates. They are lack of education programs, human resources management, education facilities, and cooperation with the other institutions. The research used qualitative method showing the phenomenon in the Language School, then compared to The Language Training and Education Center of Indonesian Defense Ministry and Australian Defence International Training Centre. To result the qualified graduates’ competence as expected, it can revitalize the education system of the Language School by using strategies to increase the human resources management of foreign languages instructors by increasing numbers of lecturers, enhancing the instructors’ ability and providing more welfare, upgrading the supporting education facilities by improving the quality of language laboratories, enhancing the library and procuring the guidebooks, improving the intensity of education programs by adding more foreign languages programs, and conducting more cooperations with the other language schools or education institutions. By revitalizing the education system, the Language School will be able to result the qualified graduates’ competence for foreign languages, so the fulfillment of highly-skilled Navy personnel can be manifested in order to support the diplomacy mission.
Factors Influencing Bicycle Use in International Islamic University Malaysia (IIUM) Gombak Campus

The use of bicycles on-campus at higher learning institutions including International Islamic University Malaysia (IIUM) is at a very low level. It is imperative to understand what influences bicycle use on-campus. This paper identifies factors that influence bicycle use in IIUM from the opinion of bicyclists. The main data used in this paper were from literature reviews, observational surveys, and field survey questionnaires. Univariate and bivariate analysis techniques were applied to the data to achieve the objectives of this study. The major findings show that good conditions and adequate bicycle facilities are some of the main factors, among others, that encourage students to cycle on-campus. At the end of this paper, few recommendations are suggested to increase bicycle use among the IIUM community on-campus.
Generative Adversarial Networks

Generative modeling is an unsupervised learning technique that involves automatically discovering and learning the regularities (or patterns) in input data so that a trained model can generate new examples that plausibly could have been drawn from the original dataset. A popular type of generative model is a generative adversarial network. Generative adversarial networks (GANs) are generative models that create new data instances that resemble the training data.
Perceiving feelings in text utilizing outfit of classifiers-An AI Application

Emotions comprise a vital factor in human instinct and conduct. The most well-known path for individuals to express their assessments, contemplations and speak with one another is through composed content. In this paper, we present a slant investigation framework for programmed acknowledgment of feelings in text, utilizing a troupe of classifiers. The planned group classifier diagram depends on the idea of joining knowledgebased and measurable AI arrangement strategies expecting to profit by their benefits and limit their downsides. The gathering composition depends on three classifiers; two are factual (a Naïve Bayes and a Maximum Entropy student) and the third one is an information based apparatus performing profound examination of the regular language sentences. The information based instrument dissects the sentence's content design and conditions and actualizes a catchphrase based methodology, where the enthusiastic condition of a sentence is gotten from the passionate fondness of the sentence's enthusiastic parts. The group classifier composition has been broadly assessed on different types of text, for example, news features, articles and online media posts. The exploratory outcomes demonstrate very good execution with respect to the capacity to perceive feeling presence in text and furthermore to recognize the extremity of the feelings.Estimation examination
Semantic enrichment on large scanned collections through their “satellite texts”: the paradigm of Migne’s Patrologia Graeca

Purpose This paper aims to present a methodology for the semantic enrichment on the scanned collection of Migne’s Patrologia Graeca (PG), attempting to easily locate on the Web domain the scanned PG source, when a reference of this source is described and commented on another scanned or textual document, and to semantically enrich PG through related scanned or textual documents named “satellite texts” published by third people. The present enrichment of PG uses as satellite texts the Dorotheos Scholarios's Synoptic Index (DSSI) which act as metadata for PG. Design/methodology/approach The methodology consists of two parts. The first part addresses the DSSI transcription via a proper web tool. The second part is divided into two subsections: the accomplishment of interlinking the printed column numbers of each scanned PG page with its actual filename, which is the build of a matching function, and the build of a web interface for PG, based on the generated Uniform Resource Identifiers (URIs) of the above first subsection. Findings The result of the implemented methodology is a Web portal, capable of providing server-less search of topics with direct (single click) navigation to sources. The produced system is static, scalable, easy to be managed and requires minimal cost to be completed and maintained. The produced data sets of transcribed DSSI and the JavaScript Object Notation (JSON) matching functions are available for personal use of students and scholars under Creative Commons license (CC-BY-NC-SA). Social implications Scholars or anyone interested in a particular subject can easily locate topics in PG and reference them, using URIs that are easy to remember. This fact contributes significantly to the related scientific dialogue. Originality/value The methodology uses the transcribed satellite texts of DSSI, which act as metadata for PG, to semantically enrich PG collection. Furthermore, the built PG Web interface can be used by other satellite texts as a reference basis to further enrich PG, as it provides a direct identification of sources. The presented methodology is general and can be applied to any scanned collection using its own satellite texts.
Knowledge management processes and organisational performance: a systematic review

Knowledge management (KM) is one of the most deliberated topics in strategic management. The most prominent area of discussion is the role of KM in enhancing organisational performance. This paper aims at reviewing empirical literature on the relationship between KM processes and various performance outcomes to identify key KM processes, research trend and further research path. Following a meticulous evaluation of existing body of literature from specialised databases, 43 published journal articles on knowledge management from 2014 to 2019 were systematically reviewed and evaluated. Empirical studies were sought from a number of databases such as Science Direct, Scopus, JStor, Springer and Emerald Insight. The findings indicate that the application of KM processes significantly influence innovation, business success, competitive advantage, efficiency and other performance outcomes. These significant relationships notwithstanding, there exist opportunities for additional studies to evaluate their impact in other economic sectors and geographical regions.
PKM KELOMPOK GURU SMK KARYA GUNA DI KEC. TEBET JAKARTA SELATAN DALAM MEMBUAT WEBLOG MENGGUNAKAN BLOGSPOT SEBAGAI MEDIA PEMBELAJARAN ONLINE DI MASA PANDEMI COVID-19

Abstract: The social restriction policy has an impact on various fields including the field of formal education. Learning which is usually done face-to-face between teachers and students in government classrooms applies learning methods with an online system or in a network (online). Online learning or online learning is learning without face to face directly but is done online through the internet network. The same thing happened in Guna's SMK, Jalan Manggarai Utara No. 01 Ex. Manggarai district. Tebet, South Jakarta. In teaching and learning activities are carried out online or online. Online learning requires several media applications that are effective, easily accessible, and understood by teachers and students. These applications include: whatsapp, telegram, instagram, zoom application, googlemeet or other media as learning media.As an alternative media for learning media, our community service team proposes blog media as an online learning medium. The team offers weblog creation training activities using blogspot as an online learning medium
Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

The wide application of deep learning technique has raised new security concerns about the training data and test data. In this work, we investigate the model inversion problem under adversarial settings, where the adversary aims at inferring information about the target model's training data and test data from the model's prediction values. We develop a solution to train a second neural network that acts as the inverse of the target model to perform the inversion. The inversion model can be trained with black-box accesses to the target model. We propose two main techniques towards training the inversion model in the adversarial settings. First, we leverage the adversary's background knowledge to compose an auxiliary set to train the inversion model, which does not require access to the original training data. Second, we design a truncation-based technique to align the inversion model to enable effective inversion of the target model from partial predictions that the adversary obtains on victim user's data. We systematically evaluate our approach in various learning tasks and model architectures on multiple image datasets. We also confirm our results on Amazon Rekognition, a commercial prediction API that offers machine learning as a service. We show that even with partial knowledge about the black-box model's training data, and with only partial prediction values, our inversion approach is still able to perform accurate inversion of the target model, and outperform previous approaches.
FOSTERING CIVIC DUTIES AND RESPONSIBILITIES IN THE NIGERIAN PRIMARY SCHOOL CHILDREN

The civic duties and responsibilities of a community or nation guide the ways of a people. They are the offshoots of the norms and values of a group of people and as such the need to inculcate these civic duties and responsibilities into the young learners becomes imperative if a society or nation must experience societal development. The National Educational Research and Development Council (NERDC,2007) revisited and identified Civic Education as one of the primary school subjects amongst others that can help foster the theme of civic duties and responsibilities in the Nigerian primary school children towards making them become a responsible and law abiding citizens. However, over the years this has been pedagogically carried out to a large extent theoretically and lightly practically. It is hoped that the theme of civic duties and responsibility is imbibed by the young learners through experiential methods thereby making the school a microcosm of the larger society where the primary school children can come to know and understand their civic roles in the society.
Implementation and Measuring Performance of Phase Coding Audio Steganography

Information security is one of the important issue while sharing information on Internet. Whenever we are sharing or transferring data online, it is very important that the data should be secure from intruder. There are many ways that can help to transfer data securely from sender to receiver. One of the popular technique is steganography which means “covered writing.” It is data hiding technique that writes hidden messages in such a way that no one apart from sender and receiver suspect the existence of the hidden message. The attacker is unaware of these hidden message. Steganography is categorized into different types on the basis of carrier file being used for embedding data. In this paper, we use audio file as a carrier. Embedding data into audio file is more challenging job than embedding data into image because Human Auditory System (HAS) is more sensitive that Human Visual System (HVS) [4]. Audio Steganography is also categorized into various types. Out of these, we choose “Phase Encoding” audio steganography technique for implementation using MATLAB. We measure the robustness, imperceptibility and capacity of stego file.
Analysis of Various Machine Learning Models for Detecting Depression in Twitter Tweets

The main objective of this research paper is to help in identifying particular individual as depressive or not. In this research paper we have analysed and compared various machine learning approaches in comparison to our baseline machine learning approach Logistic Regression to identify a tweet as depressive or non-depressive. The tweets sentences are needed to be converted in to the form such as they could be fed to the machine learning models. Compared the two techniques used for this TF-IDF and Count Vectorizer. Other machine learning approaches thathave been analysed are Ridge Classifier, Multinomial Naive Bayes, Complement Naive Bayes, Stochastic Gradient Descent (SGD), Passive Aggressive Algorithms, Support Vector Classification, Voting classifier and Multi-layer Perceptron classifier. Voting classifier performed the best from all of them by giving approximately 80% of accuracy.