Reviewerly/exHarmony huggingface dataset:
TUTORING AS THE PEDAGOGICAL TECHNOLOGY FOR THE DEVELOPMENT OF RESEARCH SKILLS IN LANGUAGE STUDENTS

Traditional approaches to teaching and learning do not meet the modern requirements for the pedagogical process and professional competencies of a teacher. New methods and forms of training are being developed, which are regarded as a compulsory component of education, endowing it with specific features. Such a situation necessitated the emergence of the broad concept “pedagogical technology”, which came into wide use at the turn of the millennium. A broad scope of interpretations indicates the lack of integration of this concept into modern scientific usage, despite the significant demand for the corresponding notion in the theory of education. It is in this context that the term “technology” and the complex terms derived from it (“teaching technologies”, “pedagogical technologies”, etc.) began to be actively used in theoretical literature in a variety of combinations, depending on the perception of the structure and components of the educational process by a particular author. Despite the fact that the tutor’s profession is relatively new to Russian education, the demand for the services of such specialists is growing steadily. The modernized educational environment requires a new type of professional, capable to help the students to plan their own educational program. Tutoring support for the development of students’ research skills meets the needs of the target audience and the requirements for the individualization of higher education.
How does discourse affect Spanish-Chinese Translation? A case study based on a Spanish-Chinese parallel corpus

With their huge speaking populations in the world, Spanish and Chinese occupy important positions in linguistic studies. Since the two languages come from different language systems, the translation between Spanish and Chinese is complicated. A comparative study for the language pair can discover the discourse differences between Spanish and Chinese, and can benefit the Spanish-Chinese translation. In this work, based on a Spanish-Chinese parallel corpus annotated with discourse information, we compare the annotation results between the language pair and analyze how discourse affects Spanish-Chinese translation. The research results in our study can help human translators who work with the language pair.
Sistem Informasi Inventory dengan Metode Economy Order Quantity dan Reorder Point pada Persediaan Barang Dagang

CV. Muaro Radio is a trading company that meets the needs of the community for the needs of electronic goods. All traded goods are imported from distributors in the form of not built up. So it takes time to assemble (production) before being marketed. This process will hamper sales if the goods are not available. So, this research helps companies in maintaining the stability of the availability of goods in order to increase sales. The method used is Economy Order Quantity and Reorder Points. The data that is processed is inventory data and the sale of goods every day. The results of this study can maintain the supply of goods very well in managing stock of goods. So this research is very helpful for CV. Muaro Radio in increasing the company's revenue.
Institutional And Pedagogical Conditions Of Professional Stability Development In Law Enforcement Officers

The article considers a research of personality’s professional stability in the law enforcement agencies staff training system, as well as identifying a set of institutional and pedagogical conditions that ensure the effectiveness of developing professional stability process for enforcement units officers at the stage of higher education with the help of the pedagogical potential of the interdepartmental interaction system in the light of professional and office activities. The aims of the pedagogical experiment include practical implementation of the system of professional stability development in law enforcement officers; provision of the conditions for the effectiveness of this system, assessment of its effectiveness; diagnosis of the degree of the influence of the identified institutional and pedagogical conditions. A system of institutional and pedagogical conditions was introduced as a part of the experimental work; it allows to develop motivation-and-values-based attitude to professional engagement, encourage professional and social activity of students, actualize the needs of self-determination and self-improvement of an individual in professional activity. Theoretical, bibliographic, empirical and practical research methods were used. The efficiency of professional stability development in law enforcement officers is assessed through introduction of organizational and pedagogical conditions necessary for the formation of a new personality trait and includes coordination of efforts of all structural units of an educational organization and elements of interdepartmental cooperation concerning development of values-and-meaning-focused guidelines of an individual's professional stability. The research enables to increase the level of professional stability in law enforcement officers within the process of professional training and degree of their motivation.
Teams Client JavaScript SDK

Now that we got some experience with the basics of building a Teams application, it's time to start digging deeper into Teams development. In the following chapters, we will begin building a company app that has every possible way to extend Microsoft Teams. This chapter will be all about the Teams Client JavaScript SDK. Let’s see how it interacts with a static tab.
DocDescribor: Digits + Alphabets + Math Symbols - A Complete OCR for Handwritten Documents

This paper presents an Optical Character Recognition (OCR) system for documents with English text and mathematical expressions. Neural network architectures using CNN layers and/or dense layers achieve high level accuracy in character recognition task. However, these models require large amount of data to train the network, with balanced number of samples for each class. Recognition of mathematical symbols poses challenges of the imbalance and paucity of training data available. To address this issue, we pose the character recognition problem as a Distance Metric Learning problem. We propose a Siamese-CNN Network that learns discriminative features to identify if the two images in a pair contain similar or dissimilar characters. The network is then used to recognize different characters by character matching where test images are compared to sample images of any target class which may or may not be included during training. Thus our model can scale to new symbols easily. The proposed approach is invariant to author’s handwriting. Our model has been tested over images extracted from a dataset of scanned answer scripts collected by us. It is seen that our approach achieves comparable performance to other architectures using convolutional layers or dense layers while using lesser training data.
Audience Response Analysis System ( ARAS )

Audience Response Analysis System (ARAS) was developed for Exact Training Consultant Company. The purpose of developing this system is to restraint problems that occus when Question & Answer (QA including the Director, Area Manager, Program Manager, and the Main Coach to explore requirements for the system. This system will help to increase the efficiency and the effectiveness of two – way communication in any events by having Q&A session throughout the seminar or events. After the organiser register the event details, and system will gather any information gained from organiser and are obliged to set an event code in the system. As for the audience, organiser will ask the audience to open the system’s website and enter the key code. Then, audiences will be allowed to ask questions, like and dislike questions that has been asked by other audience. Every month or yearly, the company will make some progress report based on the categories of the seminar that they held throughout the month or year. The system will then make analytics questions that were gathered from audiences and make sentiment analysis to handle manual report constraints. By having this system for Exact Training Consultant, it will improve the questions and answering session in any occurring events for the future. This will also improve the administrator to actually review feedback, generating report without having any problems and also to predict either the events are in positive feedback or in negative feedback.
Teams-specific bot integrations

In the previous chapters, we learned how to create bots and integrate them with various cognitive services provided by Microsoft to make them smarter. This Bot can run on multiple channels; it’s not Teams specific yet. In this chapter, we are going to make our bot Teams aware and let it interact even more with our users in Teams. I do have to warn you; this path is very user-friendly in Teams, but we are going to decrease the usability of the Bot in other channels significantly. If you start implementing this in your bots, it’s always good to plan to think ahead. What channels are we going to use, and can we keep our code as generic as possible? The worst thing that you can do is have a different code base, meaning different Bots for different channels, because that is going to be a nightmare to maintain.
The Role of Electronic Musical Instruments in Music Education

The article is dedicated to the issues associated with the way toward learning the specialty of performing on electronic melodic instruments. Specifically, the program "Electronic melodic instruments in contemporary music instruction", which is planned to improve the abilities of music instructors of optional schools, instructors of Children's Schools of Art, Palaces and Houses of Inventive Work, Centers of Extracurricular Activities with understudies and different foundations of the arrangement of extra kids' instruction, is considered. The primary motivation behind the program is to acquaint instructors with contemporary strategies what's more, frameworks of preparing, advancement of electronic melodic instruments and advanced consoles. The requirement for the presentation of this program has a few reasons. As a matter of first importance, it is the enthusiasm of youngsters to contemporary data advances and their application, in specific, in the field of electronic and PC music, just as the need to improve the data and expert fitness of educators’ artists. Figuring out how to play electronic melodic instruments secure an extraordinary pertinence in the arrangement of general music training at the school of the Digital Age, such an opportunity can likewise be given in the arrangement of extra training of understudies. In any case, the likelihood of learning at Electronic Musical Instruments is accessible, at any rate, under one, however definitive condition – the accessibility of exceedingly qualified educating staff. Today, there are most certainly not enough pros sought after in the class of electronic melodic instrument, and thus the educators need to meet the necessities of contemporary society regarding the increment in social interest for a larger amount of polished methodology, it is important to complete a subjective instructive procedure and learn the upgraded one, incorporating computerized advancements in the field of craftsmanship. Available online at https://int-scientific-journals.com
DIGITAL HUMANITIES AND TRAINING STUDENTS TO WORK WITH SOURCES: THE EXAMPLE OF STUDYING THEOSOPHICAL JOURNALISM OF THE RUSSIAN EMIGRATION OF 1920S-1930S

The article is devoted to the study of the experience of using the capabilities of Digital Humanities in the preparation of research projects in history. In particular, the article reveals the methodology for using a complex of areas of information computer technologies when working with sources, on the example of studying Russian Theosophical Journalism of Emigration of 1920s-1930s, which can be used when studying other topics by students of humanitarian orientation. The teacher can teach students to use information technology in different ways. First, get acquainted with the databases of archives and electronic libraries. Modern capabilities allow you to remotely analyze the catalogs of emigrant publications. Secondly, the researcher has access in a number of cases to already digitized sources in databases, for example, in the Consolidated Catalog of Periodicals of the Russian Emigration - Emigrantika (http://www.emigrantica.ru/), getting acquainted not only with the text, but also visual information. Thirdly, Digital Humanities allow using a variety of tools for interpreting texts, in particular, programs for creating author's databases with the introduction of hypertext, programs for conducting content analysis. It is these components that allow us to conclude that modern information computer technologies are increasingly allowing historians to conduct a source study of electronic resources, interpret the received primary data, and in the future create more and more advanced distributed systems. Acquaintance of students with the models of work of researchers using the capabilities of Digital Humanities should also contribute to the more active implementation of modern methods of working with various types of information contained in historical sources.
Triplet Mining-based Phishing Webpage Detection

Phishing web pages impersonate legitimate websites to trick users into entering sensitive information such as their credentials. In many high profile data breaches, the initial entry points have been traced back to phishing attacks. Attackers are using increasingly sophisticated methods such as code obfuscation to bypass existing phishing detection systems. Since phishing websites show very high visual similarity to the respective target pages, recent advances in Convolutional Neural Networks (CNN) can be leveraged to build better phishing detection systems. In this work, we propose a novel CNN architecture consisting of two paths to capture the content similarity and structural similarity between web pages. Leveraging the fact that web pages of the same web site are visually similar, we use triplet learning to train our model without any labelled phishing examples.
Pengembangan Media Monopoly Smart Games (Msg) Dalam Pembelajaran Tematik Kelas Iv Sd

Learning media is a supporting tool in learning with the aim to improve the quality of students in teaching and learning activities. But in reality the teacher only uses the lecture method so the learning is very monotonous. This study aims to develop Monopoly Smart Games (MSG) media for grade IV elementary schools that are suitable for use in learning activities. This development research uses the ADDIE model. Monopoly Smart Games (MSG) media research results that are decent in all aspects of the media experts get an average of 92.9% in the Eligible category. The practicality assessment of Monopoly Smart Games (MSG) media, obtained from the responses of prospective users and student questionnaire responses, averaged 96.5% in the Very Good category. Media Monopoly Smart Games (MSG) has implications for increasing learning motivation and learning interest in students and learning becomes fun.
The formation and development of a child's skills to be free in the conditions of kindergarten

The institution of preschool education, or simply, kindergarten is astate, communal or private institution for children, mostly from two to six (seven)years, in which teachers are engaged in their training and education. The stay ofchildren in kindergarten varies from four to ten hours, depending on the mode ofoperation of the institution. The organization of life activities of preschool children inkindergarten is governed by a clear schedule of the day which provides for variousactivities. This contributes to the development of moral and volitional qualities of thechild, discipline, organization. However, in modem society, more and more attentionis paid to the formation of such personal qualities as creativity, the ability for criticalthinking, creative orientation.
Information Fusion Based Wheelchair Control for Paralyzed Patient

A new technique has been implemented to control a wheelchair which is based on eye-tracking and voice. The main purpose of the electric controlled wheelchair is to assist physically disabled people who are dependent on other people to do their routine work. This new technique uses two types of modes to control the electric wheelchair- The first mode is using Eyeball movement and the second mode is using Voice control, User can give commands to move the wheelchair. HAAR cascade algorithm. is implemented to detect the position of the eye, a wheelchair will start functioning. i.e. if the eye pupil is turned left, then the wheelchair will turn left and so on and The Second mode uses a Voice module based on the commands, the wheelchair starts functioning. The Ultrasonic-sensor is used to sense any obstacle during the moment of the electric-wheelchair. A message module is provided to send an emergency message to the user's respective guardian.
A Conceptual Study on System Virtualization Techniques

The purpose of this paper is to understand the impact of virtualization in the organization. Using of various virtualization software like VMware workstation, paralles desktop, etc.., in the IT sectors to cut down the cost expenses and increase the flexibility of using systems and server and desktop provisioning, reduction in physical servers, increased uptime and availability,  process the work efficiently with the use of single server in the organisation that makes them to gain more profit by reducing hardware costs and greatly improve the disaster recovery of data to makes the organization perform their operations efficiently to make high productivity with the minimum cost.
LibGuides: Medical Assisting: Find E-Books, Online Videos & More!

Use OCC's Library Catalog Advanced Search to find e-books, videos, and government documents available online
Feed-forward weakly supervised deep learning models for breast cancer diagnosis from histological images

Breast cancer screening has become one of the top priorities to reduce the number of deaths from breast cancer and treat it as soon as possible. When making a diagnosis for breast cancer, the gold standard is histological image analysis. However, these images are very large and require both time and expertise to be correctly interpreted. Research in computer vision algorithms has shown great potential to assist practitioners in making faster and more accurate diagnoses. However, to use these kinds of algorithms, large amounts of data with high quality annotations are often required.In this thesis, we propose to approach this problem from the perspective of weakly supervised learning. In this scenario, we consider that we only have weak annotations such as image-level labels for each sample. With these weak annotations, we seek to train accurate models to accurately predict both image-level (classification) and pixel-level labels (segmentation).As a first contribution, we identify, analyze and evaluate several weakly supervised techniques proposed for natural images with the intent of identifying which one are the most promising for our application.As a second contribution, we generalize a technique proposed for binary classification to the more general settings of multi-class and multi-label classification. We show that this technique scales well to widely used natural image datasets and further evaluate it on histological image datasets.As a third contribution, we study the impact of adding size constraints to train a model. This corresponds to a scenario where an annotator would only estimate the size of the cancerous regions in histological images, reducing the time needed to annotate images when doing a segmentation. We propose a formulation to take advantage of the size information and show that it significantly improves the segmentation performance compared to training with image-level labels only.
Young’s Double-Slit and Wheeler’s Delayed-Choice Experiments at a Single-Quantum Level: Wave-Particle Non-Duality

A new `wave-particle non-dualistic interpretation at a single-quantum level' is presented by showing the physical nature of Schrodinger's wave function as an ‘instantaneous resonant spatial mode’ to which a particle's motion is confined. The initial phase associated with a state vector is identified to be related to a particular position eigenstate of the particle and hence, the equality of quantum mechanical time to classical time is obtained; this equality automatically explains the emergence of classical world from the underlying quantum world. Derivation of the Born rule as a limiting case of the relative frequency of detection is provided for the first time, which automatically resolves the measurement problem. Also, the Born rule derivation is supplemented with a geometrical interpretation. `What’s really going on' in Young's double-slit and Wheeler's delayed-choice experiments is explained at a single-quantum level. Also, an interference experiment is proposed to verify the correctness of the non-dualistic interpretation.
Simulasi Keamanan Jaringan Dengan Metode DHCP Snooping dan VLAN

Computer networks and the internet are a necessity for the community. The large number of computer and internet network users causes security on computer networks and the internet is very much needed at this time. Many attempts were made to provide computer and internet network services such as increasing bandwidth, providing security on computer and internet networks such as using ACL, Switchport Security, Vlan and DHCP Snooping. DHCP Snooping is security on computer networks and the internet that is used to prevent or filter the presence of other servers that are not trusted in providing network access to users or client computers. Researchers will conduct a comparative analysis of computer and internet networks using the DHCP Snooping method and without DHCP Snooping using the Cisco Packet Tracer simulation software. The result of comparison of computer and internet network security without DHCP Snooping is that some client computers are insecure and cannot be connected to the server whereas when using the DHCP Snooping method is able to filter or filter the server that is not trusted so that the computer network and the internet become secure.