Reviewerly/exHarmony huggingface dataset:
Virtual Reconstruction of the Eastern Part of Moscow Bely Gorod Relief by Means of GIS Software

Virtual reconstruction of an urban historical landscape over a relatively large area requires the reconstruction of historical land surfaces. To solve this problem one needs to obtain a detailed spatial data on the Earth surface elevation for a certain historical period as well as the information about the way it changed over time. The reconstruction can be performed using different software. One of the convenient options is to use geographic information systems (GIS) since this approach assumes work with georeferenced data &amp;ldquo;by default&amp;rdquo; thus providing for easier combinations with other reconstruction components. The article describes the creation of digital relief models (DRMs) of the eastern part of Moscow Bely Gorod reflecting the state of the land surface in the 16th, 17th and 18th centuries via GIS software (MAG, SAGA, QGIS). Input data for this research are contours from 1:2000 topographic plans and generalized materials of archaeological sources. Using this basis as well as GIS analysis methods, three gridded DRMs (one for each epoch) have been constructed. These DRMs are suitable for use within the GIS environment and for export to other software.
Description Models, Methods, Algorithms, and Technology for Processing Poorly tructured Raster Graphic Documents

The original, highly effective technology for processing large format, complex structured graphic documents with a poorly formalized description of objects based on the original low-level raster and vector representation models is described in the paper, as part of the further development of the combinatorial geometric approach to processing geographically distributed data. We propose the original data structures and algorithms developed on the basis for solving actual problems of preprocessing, compression, and raster images recognition of graphic documents of the type
Adaptive Method of Glands Segmentation on Histological Images

Glands segmentation is a very important and yet challenging problem of histological images analysis. Accurate segmentation of mucous glands is a crucial step to obtain reliable morphological statistics and is necessary for the development of high-quality diagnostic algorithms, which are an integral part of timely medical care. In this paper we propose a two-stage segmentation method, which predicts the probability maps of glands boundaries in histological images based on a priori knowledge about the geometric shape of the mucous glands and uses a convolutional neural network (CNN) model to get the final segmentation result based on the predicted probability maps. The proposed method demonstrates good results in separating adjacent glands, which is one of the most challenging aspects in automatic segmentation of histological glands and one of the most complicated for algorithms based on applying convolutional neural networks. The evaluation of the proposed algorithm was performed with Warwick-QU dataset, which contains real histological images of colon tissue.
The Application of Knowledge Stylised Facts in West Africa Economic and Monetary Union (WAEMU)

Abstract Sub-Saharan Africa has one of the dynamic economies in the world. Unfortunately, the performance achieve has not led to a reduction of social issues. So, the government are making massive investment to overcome social issues. This massive public investment highlights the exogenous nature of the current economic growth. So, a change of the strategy in the economic management of sub-Saharan Africa is required. One solution remains the change of economic paradigm: the transition from exogenous economic with decreased return to endogenous economic with increased return. The theoretical explanation of such arguments are supported by New Growth Theory. However, the implementation of the new theory required compliance to a set of indicators known as stylized facts. In 2009, Romer and Jones have developed a list of stylized corresponding to the need of New Growth Theory. The stylized facts of the West African Economic and Monetary Union have been compared to the standard facts of Romer and Jones in order to apply the recommendations of New Growth Theory in this area. To reach that aim, the stylized facts have been described and analysed with econometric panel model. As result, we find that the description of the stylized facts in WAEMU fitted perfectly with that of Romer and Jones for the same period. Unfortunately, when using data, institution don’t work as expected by Romer and Jones (2010). This study strengthens the argument for the implementation of economic policy based on the valorisation of knowledge economic in WAEMU.
Minimum Viable Model Estimates for Machine Learning Projects

Prioritization of machine learning projects requires estimates of both the potential ROI of the business case and the technical difficulty of building a model with the required characteristics. In this work we present a technique for estimating the minimum required performance characteristics of a predictive model given a set of information about how it will be used. This technique will result in robust, objective comparisons between potential projects. The resulting estimates will allow data scientists and managers to evaluate whether a proposed machine learning project is likely to succeed before any modelling needs to be done. The technique has been implemented into the open source application MinViME (Minimum Viable Model Estimator) which can be installed via the PyPI python package management system, or downloaded directly from the GitHub repository. Available at https://github.com/john-hawkins/MinViME.
Evolving Neural Architecture Using One Shot Model

Neural Architecture Search (NAS) is emerging as a new research direction which has the potential to replace the hand-crafted neural architectures designed for specific tasks. Previous evolution based architecture search requires high computational resources resulting in high search time. In this work, we propose a novel way of applying a simple genetic algorithm to the NAS problem called EvNAS (Evolving Neural Architecture using One Shot Model) which reduces the search time significantly while still achieving better result than previous evolution based methods. The architectures are represented by using the architecture parameter of the one shot model which results in the weight sharing among the architectures for a given population of architectures and also weight inheritance from one generation to the next generation of architectures. We propose a decoding technique for the architecture parameter which is used to divert majority of the gradient information towards the given architecture and is also used for improving the performance prediction of the given architecture from the one shot model during the search process. Furthermore, we use the accuracy of the partially trained architecture on the validation data as a prediction of its fitness in order to reduce the search time. EvNAS searches for the architecture on the proxy dataset i.e. CIFAR-10 for 4.4 GPU day on a single GPU and achieves top-1 test error of 2.47% with 3.63M parameters which is then transferred to CIFAR-100 and ImageNet achieving top-1 error of 16.37% and top-5 error of 7.4% respectively. All of these results show the potential of evolutionary methods in solving the architecture search problem.
Information-Theoretic Security of Cryptographic Channels.

We discuss the setting of information-theoretically secure channel protocols where confidentiality of transmitted data should hold against unbounded adversaries. We argue that there are two possible scenarios: One is that the adversary is currently bounded, but stores today’s communication and tries to break confidentiality later when obtaining more computational power or time. We call channel protocols protecting against such attacks future-secure. The other scenario is that the adversary already has extremely strong computational powers and may try to use that power to break current executions. We call channels withstanding such stronger attacks unconditionally-secure.
Listener's Social Identity Matters in Personalised Response Generation.

Personalised response generation enables generating human-like responses by means of assigning the generator a social identity. However, pragmatics theory suggests that human beings adjust the way of speaking based on not only who they are but also whom they are talking to. In other words, when modelling personalised dialogues, it might be favourable if we also take the listener's social identity into consideration. To validate this idea, we use gender as a typical example of a social variable to investigate how the listener's identity influences the language used in Chinese dialogues on social media. Also, we build personalised generators. The experiment results demonstrate that the listener's identity indeed matters in the language use of responses and that the response generator can capture such differences in language use. More interestingly, by additionally modelling the listener's identity, the personalised response generator performs better in its own identity.
Effectiveness of Virtual Reality Playback in Public Speaking Training

In this paper, factors with positive effects in the playback of virtual reality (VR) presentation in training are discussed. To date, the effectiveness of VR public speaking training in both anxiety reduction and skills improvement has been reported. Though the playback using videotape is an effective way in original public speaking training, very few researchers focused on the effectiveness and possibility of VR playback. In this research, A VR playback system for public speaking training is proposed, and a pilot experiment is carried out, so as to figure out the effects of the virtual agent, immersion and public speaking anxiety level in VR playback.
MOTIVASI SEBAGAI PENGUBAHAN PERILAKU

Motivation is encouragement that came from humans with awareness or unawareness for doing something that concerns with a certain purpose. As we know the behavior of humans is influenced by motivation or encouragement for the importance that accomplishes requirement from an individual. Alteration of behavior is the psychology that relates to the analysis and changing of human behavior
The Implementation of Technology-Based Media in Improving English Speaking Skill of Hospitality Students in Mataram Tourism College

This research aims to find out the effectiveness of the application of technology-based teaching media to improve the speaking skills of the Hospitality Study Program Students of STP Mataram. In this study, several media that utilize computers and the internet will be used in learning speaking. The use of the application Rosetta Stone, Duolingo, and YouTube videos integrated with the google classroom are used as learning media for students' speaking learning of the hospitality study program students. In this study, 30 students are used as the experimental group and 30 students as a controlled group. The results of this study indicated that the value of t-test &gt; t table (3.462&gt; 2.676), which means that there is a significant difference in English speaking skills using technology-based learning media. In conclusion, the use of technology-based learning media is effective in enhancing students’ speaking skill.
PROCEDIMENTOS ESTÉTICOS UTILIZADO PELO FARMACÊUTICO

Currently the concern of individuals with aesthetics, body and health is increasing more and more, beauty is considered an important factor for personal self-esteem and even in the 21st century it is a standard demanded by society. In this context, the advances in aesthetic and professional procedures that are trained to meet this demand are increasing. The pharmacist is a professional who has a wide field of activity, including the area of aesthetic health. The professional must have a specialization in aesthetic health and in this way can act by performing consultations, prescriptions and various aesthetic procedures for the treatment of various disorders. The objective of this research is to understand the role of the pharmacist in the aesthetic area and describe the regulation of the esthetic pharmacist, and the procedures performed by him. This is a descriptive bibliographic survey, using scientific articles and works in Portuguese published in the last ten years. It is possible to verify through the literature that currently the pharmacist can work in the aesthetic area performing a variety of procedures, he is a trained professional, who may be working in this area that increasingly grows and attracts patients, each procedure must be defined together with the patient's need. Aesthetic care provides individuals with a visual and psychological well-being, as they feel fulfilled and harmonized with their own image.
Blockchain securitization: an innovative technology to boost asset liquidity

The main aim of this paper is to show the potential benefits for the Securitisation process, both in terms of the setup of operations and in the entire product life cycle, derived from the adoption of the Blockchain Technology. For this purpose, we focused on the different aspects, starting from the securitisation market in which we analysed the causes of the decrease in the number of operations occurred in the last decade, although there still is a strong need to securitise some types of assets such as NPL’s and Trade Receivables. Specifically, for these two types of assets we represent the securitisation process with the As-Is limits and improvements made possible by the blockchain technology application. Along this “path” we have deepened some key aspects of the blockchain and how the application of this technology may help Financial Institutions to experience a strong reduction in operational risks and costs, liquidity risk and credit risk on managing the underlying assets. At the same time, the new framework might give to a wider category of individuals access to a product that otherwise would have been available only to a limited number of more sophisticated investors, tapping from more structured, controlled and certified information. All this being achieved at no additional costs but rather with stronger and more organized and transparent product structures.
STAGE OF DEVELOPMENT OF SYSTEM APPROACH OF DESIGNING

In this paper the stages of development of system approach of designing in different countries, including Russia. Authors study the genesis of this phenomenon of design-culture from XX century (the moment of formation of industrial design as a professional activity) up to its theoretical and methodological foundation by materials of Soviet specialists from the All-Union Scientific Research Institute of Technical Aesthetics (VNIITE) in the 1960-1980s.&#x0D; Each stage of the development of a system approach was analyzed taking into account the sociocultural and economic background. The article was focused on the sources of the formation of a system approach in design as a methodology in Russian design practice such as the «Interdesign» seminars, research works carried out in the VNIITE and higher educational institutions, as well as the results of the practical application of the system approach of design in the works of the Institute and its branches.
Morphological Study of Human Blood for Different Diseases

The aim of our study was the screening of blood cells on the basis of morphology for different diseased with Morphogenetic characters I e. ear lobe attachment, clinodactyly and tongue rolling.For this purpose, 318 blood samples were collected randomly.Samples were examined under the compound microscopic by using 100x with standard method.The results show 63 samples were found normal while in 255 samples, different types of morphological changes were observed which was 68.5%, in which Bite cell 36%, Elliptocyte 34%, Tear drop cell 30%, Schistocyte 26%, Hypochromic cell 22.5%, Irregular contracted cell 16%, Echinocytes 15.5%, Roleaux 8%, Boat shape 6.5%, Sickle cell 5%, Keratocyte 4% and Acanthocytes 1.5%.During the screening of slides, bite cell, elliptocyte, tear drop cell, schistocytes, hypochromic cell, irregular contracted cells were found frequently while echinocytes, boat shape cell, acanthocytes, sickle cells and keratocytes were found rarely.The result showed that individuals in which morphological changes were observed as 54% were able to tongue rolling, 31.8% were clinodactyly (curved little finger) and 22.2% were attach ear lobe.
Multi-level Random Sample Consensus Method for Improving Structured Light Vision Systems

The paper proposes a structured light vision system equipped with multi-cameras and multi-laser emitters for object height measurement or 3D reconstruction. The proposed method offers a better accuracy performance over a single camera system. To tackle the intersections produced by laser emitters in the projected image plane, we propose a multi-level random sample consensus (MLRANSAC) algorithm to separate the intersection points instead of using the traditional methods such as time division and color division techniques. Our experiments demonstrate that the MLRANSAC algorithm can perform effectively.
DIDACTIC COMPONENT OF THE COMPETENCY-ORIENTED EDUCATION IN INSTITUTIONS OF GENERAL SECONDARY EDUCATION

The didactic component of the competence approach in education is considered in the article. The purpose of the article, which is to distinguish the most relevant principles in the implementation of the competency approach among the didactic ones, is achieved by theoretical methods (analysis, synthesis, generalization of information) and empirical ones (own observations of the educational process). The result of the work is the definition of such principles as: provisions on the life-creating orientation of competence education; the necessity of personal and activity orientation of the educational process; the principle of reliance on previous experience, creative understanding of social experience, focus on the result. Mentioned above principles emphasize the specifics of the competency approach: formation and development of students' ability to act practically and creatively apply the acquired knowledge and experience in different situations. Each selected principle is described in relation to the competency approach. The principle of life-creating orientation promotes individual’s self-realization. Formation in personality of self-development, self-defense, self-education mechanisms is the principle of personal orientation. Competences are acquired through active activities and based on minimal experience (the principle of activity orientation and reliance on previous experience). Building of your own life strategy is (the principle of creative understanding of social experience). Possession of the potential to solve life's problems is (the principle of focus on the result). The study provides grounds for conclusions: the didactic component of competence education indicates its social (an important condition for competencies acquisition is social interaction, achieved by the principles of life-orientation, personal orientation, creative understanding of social experience), humanistic (competence approach promotes youth’s self-realization and self-improvement achieved by the principles of life-creating orientation, personal orientation) and practical-pragmatic orientation (solving issues that arise before people in various practical situations, which is the basis of the principles of result-oriented, activity-oriented).
Dense Multiscale Feature Fusion Pyramid Networks for Object Detection in UAV-Captured Images

Although much significant progress has been made in the research field of object detection with deep learning, there still exists a challenging task for the objects with small size, which is notably pronounced in UAV-captured images. Addressing these issues, it is a critical need to explore the feature extraction methods that can extract more sufficient feature information of small objects. In this paper, we propose a novel method called Dense Multiscale Feature Fusion Pyramid Networks(DMFFPN), which is aimed at obtaining rich features as much as possible, improving the information propagation and reuse. Specifically, the dense connection is designed to fully utilize the representation from the different convolutional layers. Furthermore, cascade architecture is applied in the second stage to enhance the localization capability. Experiments on the drone-based datasets named VisDrone-DET suggest a competitive performance of our method.
IMPLEMENTATION OF PROTOTYPING PROCESS MODEL IN TASK MANAGEMENT APPLICATION AND OBJECTIVE KEY RESULT CASE STUDY PT.XYZ

Managing tasks in a company is a crucial thing to do, considering the number of functions that exist in that company. PT.XYZ does not have a task management application that causes task complexity to occur frequently for each employee so that the employee performance evaluation cannot be objective. One alternative solution proposed is to approve the task management application and objective key results by implementing the prototyping process model at PT. XYZ so that it can produce approval of application requirements, design data, design architectures, and design applications that can support objective employees.
Application Map in the Noise Suppression Filter for Video Compression

This paper considers an application map method usage together with the Nose Suppression Filter (NSF) in-loop filter for video compression. The application map method is described in details and simulations results of basic NSF are provided as well as simulation results of NSF powered with the application map method. It is demonstrated that the application map method allows to significantly improve objective performance results of basic NSF and additionally decrease decoder average complexity. As a result, an average bd-rate saving of NSF with the application map reaches 2.6% for luma component in Low Delay P coding configuration in comparing to Versatile Video Coding reference implementation (VTM) version 1.0.
INTEGRATED APPROACH FOR IMPROVING ENGLISH COMPETENCY AND LEARNING ENCOURAGEMENT FOR NON-ENGLISH MAJOR STUDENTS

At the Higher Education level, English as a General Subject acts as recognition for the primary focuses learning experience. Using these language skills and components, learners are not trained sufficiently. It causes many circumstances, such as poor performance, limited vocabulary, keen learning interest, a short amount of practice, and more. The requirement for teaching quality is that they can apply English as a medium of communication. The researchers offer a workable solution by adjusting the Integrated Approach to overcome this issue. Thus, the current research objectives are to determine the students' improvement, instruction process, and the influencing factors on their language abilities and motivational beliefs. It is designed as an Action Research. Accounting Major students, which consist of 37 students, are the participants of this research. Tests, observations, and interviews were included in the data gathering process. Then the findings reveal that 13.5 percent of students earned top grades. 40.5 percent of students got decent grades. However, there are already participants who obtained a sufficient level (32.5 percent) and less (13.5 percent). It finds that the Integrated Approach enables improving their English competence and learning motivation through the process of socializing, evaluating, controlling, assisting, and practicing. Furthermore, their improvement factors cover students' motivation, teaching approach, and lecturers' role. It illustrates progress in the learning process made by them. Eventually, this offers evidence that the Integrated Approach implementation favors optimizing their English ability and learning encouragement.