Reviewerly/exHarmony huggingface dataset:
CMS System Identification Based on Improved Algorithm of Apriori

Abstract Web applications on the Internet are often attacked by various vulnerabilities. Once various vulnerabilities are published, it becomes more and more important to quickly and accurately locate the affected Web application or system from the list of website resources. In this paper, based on the data and information of similar CMS websites, the improved Apriori algorithm is used to extract the features of CMS websites and their association rules, which can be used to quickly identify whether unknown websites are CMS templates of this type. Through experimental tests, four feature information used to identify WordPress is obtained. According to these features and relevance, the system type website can be identified more accurately.
LibGuides: Saxophone: ALLIES

This is a library guide for students and professors who study and play the saxophone. This page will tell you how to request a book from another library.
The Corpus Query Middleware of Tomorrow – A Proposal for a Hybrid Corpus Query Architecture

Development of dozens of specialized corpus query systems and languages over the past decades has let to a diverse but also fragmented landscape. Today we are faced with a plethora of query tools that each provide unique features, but which are also not interoperable and often rely on very specific database back-ends or formats for storage. This severely hampers usability both for end users that want to query different corpora and also for corpus designers that wish to provide users with an interface for querying and exploration. We propose a hybrid corpus query architecture as a first step to overcoming this issue. It takes the form of a middleware system between user front-ends and optional database or text indexing solutions as back-ends. At its core is a custom query evaluation engine for index-less processing of corpus queries. With a flexible JSON-LD query protocol the approach allows communication with back-end systems to partially solve queries and offset some of the performance penalties imposed by the custom evaluation engine. This paper outlines the details of our first draft of aforementioned architecture.
Applying Dictologloss Technique on Students’ Narrative Text: A Quasi Experimental Study

This article was to find out about the effectiveness of applying dictogloss technique on students’ narrative text. A Quasi-Experimental design was used in this method, with using pre-test and post test design. Subject of this research was at the eleventh grade at state senior high 10 Bandar Lampung. The result of this study showed that the value of to (tobservation ) was 5.2. The value of t table with degree of freedom 38 in significance degree 5 % was 2.02 and in significance degree 1% was 2.71. It indicated that to was higher than or 2.02 &lt; 5.26 &gt; 2.71. for those analysis, the null hypothesis (Ho) was rejected and t alternative hypothesis (Ha) was accepted. Hence, it was inferred that there were significant difference between students’ narrative writing score who were taught by dictoglos technique.&#x0D; Keywords: Dictogloss Technique, Experimental Design, Narrative Text
Solar Panel Tracking System Using Optical Fiber

In this work we present a new method for the measurement of the light intensity for the solar panels with dual axis tracking system by using optical fiber to conduct the direct sunlight to the light dependent resistors (LDR). With this method we keep away the influence of the temperature on the photoresistors which measure the light intensity. The measurements with the proposed system was done at the same time and place with a classical system with the same configuration, but with the LDRs directly exposed to the sunlight. The results highlighted that, in cloudy conditions when the sunlight is not in direct path on the solar panels and suffers a high scattering, the optical fiber system is more efficient compared to the classical one with differences up to 18% in the generated power.
Dendrite Net: A White-Box Module for Classification, Regression, and System Identification

The simulation of biological dendrite computations is vital for the development of artificial intelligence (AI). This paper presents a basic machine learning algorithm, named Dendrite Net or DD, just like Support Vector Machine (SVM) or Multilayer Perceptron (MLP). DD's main concept is that the algorithm can recognize this class after learning, if the output's logical expression contains the corresponding class's logical relationship among inputs (and$\backslash$or$\backslash$not). Experiments and main results: DD, a white-box machine learning algorithm, showed excellent system identification performance for the black-box system. Secondly, it was verified by nine real-world applications that DD brought better generalization capability relative to MLP architecture that imitated neurons' cell body (Cell body Net) for regression. Thirdly, by MNIST and FASHION-MNIST datasets, it was verified that DD showed higher testing accuracy under greater training loss than Cell body Net for classification. The number of modules can effectively adjust DD's logical expression capacity, which avoids over-fitting and makes it easy to get a model with outstanding generalization capability. Finally, repeated experiments in MATLAB and PyTorch (Python) demonstrated that DD was faster than Cell body Net both in epoch and forward-propagation. The main contribution of this paper is the basic machine learning algorithm (DD) with a white-box attribute, controllable precision for better generalization capability, and lower computational complexity. Not only can DD be used for generalized engineering, but DD has vast development potential as a module for deep learning. DD code is available at GitHub: https://github.com/liugang1234567/Gang-neuron .
The position and role of the value orientations system in the structure of personality

This article is devoted to the study of the place and role of the system of value orientations in the structure of personality. The relevance of this problem is due to the fact that in modern conditions of political, economic and social transformations, value orientations acquire special significance, since they determine the functioning and development of the personality as a whole. The article presents various concepts and points of view, the focus of which is the problem of determining the main determinants of value orientations, as well as their place and role in the structure of personality. This is, first of all, the concepts of Russian psychologists - A.N. Leontiev, B.G. Ananyeva, A.V. Petrovsky, N.R.Salikhova, foreign - J. Piaget, L. Langle, N. Howe and W. Strauss and others. Of great interest is the competency development model considered here, formulated by Kazakhstan researcher D.T. Ikhsanova in the framework of the integrative approach of V.V. Kozlova. The article considers in detail the three levels of development of value orientations proposed by the author, which gave us the opportunity to determine their place and role in the structure of personality. The review made it possible to formulate the following conclusions that value orientations are an important component of the personality structure, which manifests itself in all spheres of a person’s life and regulates his behavior. Thus, value orientations occupy an important place in the structure of personality. This is a complex and multifaceted socio-psychological phenomenon that does not lose significance for the life of each person. Key words: value orientations, personality, value orientations system, personal value orientation, socializing, interiorization, individualization, differentiation, integration.
LibGuides: The Fourth Industrial Revolution: An Introduction....

Professor Klaus Schwab is convinced that we are at ‘the beginning of a revolution that is fundamentally changing the way we live, work and relate to one another.’ He calls this revolution the Fourth Industrial Revolution.
LibGuides: LibrarySkills@UCL: Assignments

Our guides, training and support enable you to develop your library and information literacy skills and make the best use of UCL’s libraries and resources.
Fake Detection of Online Reviews using Semi-Supervised and Supervised Learning

Online reviews have great impact on today's business and commerce. Decision making for purchase of online products mostly depends on reviews given by the users. Hence, opportunistic individuals or groups try to manipulate product reviews for their own interests. This paper introduces some semi-supervised and supervised text mining models to detect fake online reviews as well as compares the efficiency of both techniques on data set containing hotel reviews.
Mobilizing Metadata: Open Data Kit (ODK) for Language Resource Development in East Africa

Linguistic fieldworkers collect and archive metadata as part of the language resources (LRs) that they create, but they often work in resource-constrained environments that prevent them from using computers for data entry. In such situations, linguists must complete time-consuming and error-prone digitization tasks that limit the quantity and quality of the resources and metadata that they produce (Thieberger & Berez 2012; Margetts & Margetts 2012). This paper describes a method for entering linguistic metadata into mobile devices using the Open Data Kit (ODK) platform, a suite of open source tools designed for mobile data collection.
EXPERIMENTAL STUDY OF TEACHERS MOTIVATION IN CROSS-CULTURAL ASPECT WITHIN KAZAKHSTANI HIGHER EDUCATIONAL INSTITUTIONS AND EXPATS

This article is devoted to the study of motivation of teachers of higher educational institutions - Kazakhstani citizens and expats, invited to highly rated universities. During the research, it was proceeded from the understanding that at the present stage of development and reform of the education system, the problem of studying and forming professional motivation among teachers, which has not been studied before and is the new for the psychological and pedagogical theory, acquires significant relevance. The motivation of teachers of higher schools is very specific, since their work combines teaching, scientific, methodological, educational and organizational functions.&nbsp;Therefore, the work of a teacher of a higher school can be characterized as labor of high complexity, which necessitates the transformation of the incentive system for teaching and the study of the motivational sphere of the personality of a teacher of a higher educational institution. The subject of the research is the&nbsp;motivational sphere of personality and the psychological characteristics of teachers of higher educational institutions, which determine their professional motivation. For the organization of the empirical study of&nbsp;cross-cultural characteristics of professional and personal motivation of teachers of higher educational institutions of Kazakhstan&nbsp;program of scientific research has been developed consisting of several stages. For diagnostic measurement, 2 methods were taken:“Diagnostics of motivational&nbsp;personality structure” (V.E. Milman);&nbsp;“Methodology for determining job satisfaction&nbsp;”&nbsp;(A.V. Batrashev). For diagnostic measurement, 2 methods were used: “Diagnostics of the motivational structure of the individual” (V. E. Milman); “Method of determining job satisfaction” (A.V. Batrashev).&nbsp; The study was conducted on the basis of highly rated higher education institutions in Almaty and Nur-Sultan - al-Farabi KazNU, Gumilyov’s ENU. The results of the study have showed that the teachers’ professional and personal motivation at higher education institutions where Kazakhstani citizens and expats have been invited to highly rated higher education institutions, found cross-cultural characteristics. Key words: motivation, teachers, expats, higher education institutions, cross-cultural aspect, diagnostics, etc.
Application Research of Mathematical Model in Tallo River Flood Analysis

Abstract Rivers are natural elements, and rivers play an important role in shaping the style of the community. The Tallo River in Makassar has advantages in economy, entertainment and transportation. But almost every year, the area along the river is always flood. this probelm can be solved by examine the phenomena and conditions of the level of flood watersheds vulnerability using hydrological approach through Muskingum kinematic methods, which is a common flood routing methods. By approaching the hydrological conditions of the Tallo river watershed, the results of this study are expected to provide the best alternative treatment options. The flood discharge value is executed based on the rainfall data that collected from three stations along the river namely Hasanuddin, Malino and Senre. After that, the flood discharge plan is conducted to obtaing the outflow value by using the inflow value through Muskingum method. The length of the river considered in this study is about 20 km, and it is divided into 5 segments every 4 km. The x value is between 0.1 and 0.3, and the K value is between 0.16-0.57. The obtained maximum flood discharge from the Muskingum calculation for the 2-year return period occurred at 801,330 m 3 /sec with an X value = 0.1 and K = 0.58.
A Study on the Arrangement and Collection of Korean Drama Literature

This study was conducted for the purpose of suggesting the process of organizing and documenting plays in Korean literature. To this end, it was necessary to comprehensively organize and consider the plans that have been constructed and aggregated until now. Four are the main tasks of aggregation that have been performed so far: “accumulation,” which primarily collects and publishes plays and gathers them in one place; “selection work,” which uses selection and exclusion criteria to choose aesthetically refined works; “excavation work,” which supports the system in finding missing and alienated works; and “expansion work,” which expands the scope of Korean modern and contemporary plays and of Korean literature. Based on these four aggregation works, Korean drama archives introduced in the Korean Literature Museum should also be constructed as containing literary materials according to the planned aggregation work from their establishment.
Data Pipeline Architecture with Near Real-Time Streaming Multiple Source Indonesian Online News Data Lake

The rapid development of information has made online news increasingly needed. Online news attracts readers' attention by providing convenience and speed in presenting news from various fields. However, the large amount (volume) of online news that spreads in a short time (velocity) and the public's need to consume news in various references (variety) can affect people's lives. Therefore, the government as the regulator and news agencies need to monitor online news circulating. Based on these problems, the researcher proposes a data lake architectural design that is suitable for online news and can run in real-time. Data lakes can solve the main problems of Big Data (volume, velocity, variety). In proposing this data lake architecture, the researcher conducted a literature study and analyzed the flow of the data lake architecture according to online news. Furthermore, the researcher will use this architecture to combine and uniform the online news data structure from several online news channels and then stream it in real-time to fill the data lake. The results of using the data lake architecture for online news will be stored on MongoDB which functions as a database to store all data for both the short and long term. Finally, this data lake will be a means to accommodate, dive into, and analyze the circulating online news data. Keywords – Data Lake, Online News, Real-Time.
Distance Learning at the Nikola Vaptsarov Naval Academy Utilising Online Platforms during the COVID-19 Crisis

In the current digital world, using information technology in the study process is necessary and in some situations is even mandatory.In some cases, distance learning is the only option.The choice of a suitable platform or a combination of platforms to conduct distance learning can be quite challenging.The main reasons for this are the multiple platforms available, and the numerous criteria and limitations when scoring and using these platforms.This article examines some of the technologies, used for distance learning.After a comparative analysis, an option is presented for the integration of the Microsoft Teams platform in Nikola Vaptsarov Naval Academy's distance learning system.
Textual Function in English Morphology Online Classroom

A clause is a unit of message. As a message a clause divide into two parts, namely the Theme and Rheme. The aim of this present research is to analyze textual function in English Morphology online classroom. The scopes of this research are analysis of textual function in English Morphology online classroom, classification of Theme in English Morphology online classroom and kinds of Theme dominantly used in English online classroom. The researcher applied descriptive qualitative research to collect the data from the discourse of the lecturer and the students in English Morphology online classroom at Universitas Islam Negeri Sumatera Utara. The data was obtained into three phases namely separated the text into clauses, analyzed each clause in terms of the textual function (i. e Theme and Rheme) and classified elements of the Themes (into the four types of Theme). The data indicated that the lecturer and the students used textual function in their discourse in online classroom. Kinds of textual function they used were 7 Unmarked Simple Theme (UST), 3 Unmarked Multiple Theme (UMT), 16 Marked Simple Theme (MST), and 2 Marked Multiple Theme (MMT). In this case, MST was dominant used by the leacturer and the students in English online classroom.
Machine Learning and Deep Learning: Introduction and Applications

Artificial Intelligence (AI) has been a popular topic in recent days not only in academia/industries but also in general public. Most of the time, they refer machine learning when AI is discussed. This paper gives introduction to machine learning. First, the overview of the machine learning is given. Then, three modes in the machine learning such as supervised learning, unsupervised learning, and reinforcement learning are described. In particular, supervised learning is explained in detail. In order to give a step-by-step introduction to the supervised learning, a linear function and a perceptron are explained and develop the discussion to three-layered neural networks. Furthermore, deep neural networks are explained as the extention to the three-layered neural networks. Finally, the application of the deep neural networks are shown with some examples.
Camera Unavoidable Scene Watermarks: A Method for Forcibly Conveying Information onto Photographs

When a scene’s image rights need to be protected e.g. a stage performance, it is valuable to use human imperceptible methods to forcibly add markers to a camera’s perception of the scene regardless of the camera’s precise location, focus distance, or shutter speed. This work expands upon extant methods for adding human imperceptible, camera perceptible markers to scenes but does so with the assumption that the photographer will take natural steps to avoid capturing the markers. The proposed method utilizes a combination of a traditional method of adding an image to the scene, and projections from the scene onto the camera’s entrance pupil. This method is intended to function even when the target camera utilizes an IR filter and has a shutter speed 1/60 s. More interestingly, the combination of traditional images with projecting onto the camera allows this method to not be reliant upon knowledge of the camera’s focus settings, or the precise location of the camera. It is, however, marred by numerous other requirements which make the method unreliable.
Facial Expression Recognition on The Classroom Environments

Facial expression recognition is the process of identifying the expression that is displayed by a person.It can be used to evaluate the mood of students during a class so that can help teachers improve the learning goal achievement.However, the recognition process in real environments such as in classrooms is still a challenging problem due to different expressions and illumination under arbitrary poses.In this paper, we present a convolutional neural network-based method that combining with Gabor filter.The result shows that the proposed method can recognize three categories of student facial expressions that represent a good, bad, and neutral expression.
Extra FAT: A Photorealistic Dataset for 6D Object Pose Estimation

We introduce a new image dataset for object detection and 6D pose estimation, named Extra FAT. The dataset consists of 825K photorealistic RGB images with annotations of groundtruth location and rotation for both the virtual camera and the objects. A registered pixel-level object segmentation mask is also provided for object detection and segmentation tasks. The dataset includes 110 different 3D object models. The object models were rendered in five scenes with diverse illumination, reflection, and occlusion conditions.
Hasil Belajar pada Mata Kuliah Asuhan Kebidanan Kehamilan Dipengaruhi Praktik di Laboratorium Kebidanan

The purpose of this study was to determine the relationship between practical learning in the midwifery laboratory and the learning outcomes in the Pregnancy Midwifery Care Subjects of the Level II D-3 Midwifery students. This research method uses descriptive-analytic with the cross-sectional approach. The results showed that the level of practical learning in the laboratory was a high category of 59.1%. And category learning outcomes are 72.6%. Statistical test results show that the P-value = 0.029. There is a relationship between practical learning in midwifery laboratories and learning outcomes in the Pregnancy Midwifery Care Course.&#x0D; &#x0D; Keywords: Pregnancy Midwifery Care, Laboratory Practices
Targeted Aspect-Based Sentiment Analysis for Lithuanian Social Media Reviews

The paper presents research results for solving the task of targeted aspect-based sentiment analysis in the specific domain of Lithuanian social media reviews. Methodology, system architecture, relevant NLP tools and resources are described, finalized by experimental results showing that our solution is suitable for solving targeted aspect-based sentiment analysis tasks for under-resourced, morphologically rich and flexible word order languages.
Towards the First Dyslexic Font in Russian

Texts comprise a large part of visual information that we process every day, so one of the tasks of language science is to make them more accessible. However, often the text design process is focused on the font size, but not on its type; which might be crucial especially for the people with reading disabilities. The current paper represents a study on text accessibility and the first attempt to create a research-based accessible font for Cyrillic letters. This resulted in the dyslexic-specific font, LexiaD. Its design rests on the reduction of inter-letter similarity of the Russian alphabet. In evaluation stage, dyslexic and non-dyslexic children were asked to read sentences from the Children version of the Russian Sentence Corpus. We tested the readability of LexiaD compared to PT Sans and PT Serif fonts. The results showed that all children had some advantage in letter feature extraction and information integration while reading in LexiaD, but lexical access was improved when sentences were rendered in PT Sans or PT Serif. Therefore, in several aspects, LexiaD proved to be faster to read and could be recommended to use by dyslexics who have visual deficiency or those who struggle with text understanding resulting in re-reading.