Reviewerly/exHarmony huggingface dataset:
Fixed Lexical Combinations in the Book Poetic «Personal Series» &#x0D; in the Light of Computer Research and Author’s Reflection

he article is devoted to the identification of repeated lexical combinations in poetic texts using the original software system «Hypertext Search for Companion-words in Author’s Texts». The steadily adjacent words found in this way turn out to be characteristic either for the majority of native speakers, or for a certain poetic tradition, or for a particular author. The study objective is to compare the results of the most objective computer processing of texts with the philologists’ interpretation and subjective author’s commentary, as well as to outline insufficiently studied issues of the poetry psychology.
REGULARITIES AND PRINCIPLES OF A TEACHER’S PROFESSIONAL AND CULTURAL DEVELOPMENT

The review article reveals the external and internal determinants, features, patterns of development of pedagogical professionalism, taking into account the provisions of system-structural, holistic, synergetic, axiological, acmeological, culturological, and personal-activity methodological approaches. The axio-acmeological cultural sphere of the teacher's personality is characterized as a strategic determinant of his professional and cultural development. The essence of internal determinants of professional and cultural growth of a teacher is analyzed: professional self - creativity, pedagogical creativity, and types of his activity in the context of professional and cultural targets.The system of regularities of development of pedagogical professionalism is defined: it is naturally subordinated to the strategic purposes of national cultural formation, nation-building and sustainable development of society; professional and pedagogical culture determines the development of pedagogical professionalism, acts as its strategic goal and the leading factor in updating the "I" -concept of professional and cultural development; The effectiveness of a teacher's career progress naturally depends on his awareness of the needs for a new strategy for teaching and educating students; the appearance in the psyche of the teacher of a new growth – the axiosphere of the culture of pedagogical professionalism, which is the result of the axiosphere of professionalism of personality and professionalism of activity; professional creativity and pedagogical creativity stimulate the development of pedagogical professionalism; the orientation of culturally relevant activities of the teacher naturally has the highest potential for their mastery of the values of the cultural sphere of the teacher's personality.Considerable attention is paid to the characterization of the author's principles of the ascent of the teacher's personality from pedagogical professionalism to professional-pedagogical culture.
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

Biomedical entity linking is the task of linking entity mentions in a biomedical document to referent entities in a knowledge base. Recently, many BERT-based models have been introduced for the task. While these models have achieved competitive results on many datasets, they are computationally expensive and contain about 110M parameters. Little is known about the factors contributing to their impressive performance and whether the over-parameterization is needed. In this work, we shed some light on the inner working mechanisms of these large BERT-based models. Through a set of probing experiments, we have found that the entity linking performance only changes slightly when the input word order is shuffled or when the attention scope is limited to a fixed window size. From these observations, we propose an efficient convolutional neural network with residual connections for biomedical entity linking. Because of the sparse connectivity and weight sharing properties, our model has a small number of parameters and is highly efficient. On five public datasets, our model achieves comparable or even better linking accuracy than the state-of-the-art BERT-based models while having about 60 times fewer parameters.
Quantising one-dimensional electromagnetic fields in position space

An intuitive and straightforward modelling of many locally-interacting quantum system requires a local description of the quantised electromagnetic field. In a recent paper [Southall et al., J. Mod. Opt. 68, 647 (2021)], we showed that such a description, which must overcome several no-go theorems, is indeed possible. To better justify our approach, this paper presents a systematic quantisation of one-dimensional electromagnetic fields in position space. Starting from the assumption that its basic building blocks are local bosonic particles with a clear direction of propagation--so-called bosons localised in position (BLiPs)--we identify the relevant Schroedinger equation and construct Lorentz-covariant electric and magnetic field observables. In addition we show that our approach simplifies to the standard description of quantum electrodynamics when restricted to a subspace of monochromatic photon Fock states.
Зміст толерантності особистості військовослужбовця Національної гвардії Укаїни

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Змістово-технологічне забезпечення підготовки фахівців освітніх установ до роботи з сім’ями, які опинилися в складних життєвих обставинах в умовах центрів гендерної освіти

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Pengembangan Model Strategi dan Media Pembelajaran PAI

Learning Model is defined as a systematic procedure in organizing learning experiences to achieve learning objectives. can also be interpreted as an approach used in learning activities. So, actually the learning model has the same meaning as the approach, strategy or learning method. Currently, various kinds of learning models have been developed, from simple to rather complex and complicated models because they require many tools in their application. The development of science and technology, greatly affects the education system. So that nowadays information technology media has a major role in the learning process. Teachers can be more efficient and effective in teaching time. There are so many positive influences along with the arrival of technology to the world of education. However, there are also negative effects. It is the teacher's main task to be able to process/package and introduce information technology by taking positive steps in the learning process.
Effect of image degradation on performance of Convolutional Neural Networks

The use of deep learning approaches in image classification and recognition tasks is growing rapidly and gaining huge importance in research due to the great enhancement they achieve. Particularly, Convolutional Neural Networks (CNN) have shown a great significance in the field of computer vision and image recognition recently. They made an enormous improvement in classification and recognition systems’ accuracy. In this work, an investigation of how image related parameters such as contrast, noise, and occlusion affect the work of CNNs is to be carried out. Also, whether all types of variations cause the same drop to performance and how they rank in that regard is considered. After the experiments were carried out, the results revealed that the extent of effect of each degradation type to be different from others. It was clear that blurring and occlusion affects accuracy more than noise when considering the root mean square error as a common objective measure of the amount of alteration that each degradation caused.
Análisis de sentimientos usando la red social Twitter ¿qué sintieron los turistas que volaron en 2020 con seleccionadas aerolíneas sudamericanas?

Activation of tourism is one of the key subjects for the airline industry. Internet contains a lot of information about tourists. This paper aims at analyzing the opinion of the tourists who traveled by certain South America airlines, using the sentiment analysis technique, employed in the study of their messages. The resource used for analysis is the information in twitter, provided by these airlines customers. First, a method for extracting published phrases related to target locations and hashtags was presented. Then, it was analyzed the polarity of the tweets extracted; creating positive, negative and eventually neutral opinions. In this process, there was utilized an unsupervised learning technique using seed words. The experimental result on the classification shows the efficacy of the applied method. Preliminary (descriptive) results as well as the basic proposal for a predictive model are herein attached.
National-scale data at prospect-scale resolution: Empowering the next generation of mineral exploration in Sierra Leone

PreviousNext No AccessFirst International Meeting for Applied Geoscience & Energy Expanded AbstractsNational-scale data at prospect-scale resolution: Empowering the next generation of mineral exploration in Sierra LeoneAuthors: Tim ArcherJoseph LebbieAhmed SwarayTim ArcherReid Geophysics LimitedSearch for more papers by this author, Joseph LebbieNational Minerals AgencySearch for more papers by this author, and Ahmed SwarayReid Geophysics LimitedSearch for more papers by this authorhttps://doi.org/10.1190/segam2021-w6-04.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractLeveraging the value of mineral wealth is a difficult challenge for all countries, but perhaps particularly for those in the developing world, where infrastructural disorganisation, bureaucratic corruption, and civil unrest have been more-or-less endemic for over a century.Keywords: airborne, survey, magnetic, imagingPermalink: https://doi.org/10.1190/segam2021-w6-04.1FiguresReferencesRelatedDetails First International Meeting for Applied Geoscience & Energy Expanded AbstractsISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2021 Pages: 3561 publication data© 2021 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 01 Sep 2021 CITATION INFORMATION Tim Archer, Joseph Lebbie, and Ahmed Swaray, (2021), "National-scale data at prospect-scale resolution: Empowering the next generation of mineral exploration in Sierra Leone," SEG Technical Program Expanded Abstracts : 3552-3553. https://doi.org/10.1190/segam2021-w6-04.1 Plain-Language Summary Keywordsairborne surveymagneticimagingPDF DownloadLoading ...
ADAPTAÇÕES NOS SERVIÇOS DE ATENÇÃO PRIMÁRIA À SAÚDE FRENTE AO COVID-19: VIVÊNCIAS MULTIPROFISSIONAIS

A pandemic caused by the Coronavirus has generated, on new forms of organization of practices, health care. In Primary Health Care, it was necessary to reorganize all services, to stop the viral spread. It aims to describe the experience of multiprofessional residents in family and community health, about the adaptations made in primary care services in face of the covid-19. This is a qualitative research, of the experience report modality. This study counted on the participation of multiprofessional residents in family and community health, from the prefecture of a municipality in Paraiba, in partnership with two higher education institutions. An experience occurred in the Family Health Units, which did not qualify the team of residents as the following types of professionals: 1 psychologist, 3 nurses, 2 pharmacists and 1 physiotherapist. As a result, it showed that there were several changes, from the environment of the health units, to the form of assistance to users who need primary care. It is concluded that studies related to this theme are relevant, as they bring new experiences of adaptations and associations of health services, in the face of a pandemic.
Re-identification of Health Data through Machine Learning

Startups and large technology companies are working with companies in healthcare to research, create, and deploy machine learning healthcare solutions. The growth of machine learning healthcare solutions is increasing the risk of re-identification of health data, raising concerns for individual privacy. Differential privacy is one of the latest and most popular anonymization techniques used on machine learning data to guarantee data privacy but is presenting challenges when applied to health data. The Health Insurance Portability and Accountability Act (HIPAA) has loopholes and does not address the use of machine learning on health data. This paper will explain why HIPAA needs to be amended to reduce the risk of re-identification due to the growth of machine learning in healthcare and the challenges presented in applying differential privacy. The paper will also discuss three possible proposals to amend HIPAA to reduce the risk of re-identification.
Design of an Autonomous Controlled and GPS-guided: Experimental Small-Scale Prototype

Research work on autonomous ground vehicle are commonly used small-scale vehicles as a proof of concept for autonomous navigation system. This paper describes the design development process of developing a navigation system based on COTS (commercially-off-the-shelf) components for small-scale autonomous car prototype for waypoints via GPS and magnetometer as navigational inputs. Field experiments were conducted at a selected test site to validate the navigational algorithm developed and the small-scale prototype. The experiments were successful where the small-scale prototype has successfully managed to navigate to all waypoints within the designated turning and stopping criteria. However, the prototype is found to have looping behaviour when traveling from Waypoint 2 to Waypoint 3 which is attributed to the GPS receiver obtained a different current GPS position while travelling and the maneuvering of the prototype based on the differences between the heading angles of the two sensors.
A Small-area Data Analysis for Cancer Registration Data of Busan

소지역 추정은 표본 크기가 작은 소지역이나 성별, 연령 등과 같은 변수의 특성으로 분류된 영역에 대한 통계치를 산출할 경우 표본의 수가 적어 정확한 추정이 힘들 때 이용되는 통계적 추정 방법의 하나다. 소지역 추정은 다양한 통계적인 생산에 필수적이며, 다양한 방법으로 연구되어왔다. 소지역추정방법 중 하나인 모형기반 추정 방법은 회귀분석, 공간분석 등과 같이 방법들을 고려할 수 있다. 본 연구에서는 소지역 추정을 위해서 변량효과를 고려한 다단계 일반화 선형모형을 적용하였다. 이때. 변량효과에 대한 모형가정을 정규분포, 감마분포 등 다양한 분포를 적용하였으며, 모형선택 방법을 통해서 자료에 가장 적합한 모형을 선택하였다. 분석 결과를 활용하여 행정동 단위의 소지역을 분류하는 방법을 먼저 보여주고 지역간 모형 적합 결과를 비교하고자 한다. 이를 위해 수집된 부산지역 암등록 자료 236,277건에 대해 행정동 분류를 완료했으며, 이 자료 중 위암인 경우를 선택하여 성별, 병기별로 다단계 일반화 선형모형에 적합하였다. 또한, 변량효과의 분포 및 박탈지수의 여부에 따라 적합도가 달라졌으며 박탈지수가 지역내변동을 설명할 수 있다는 것을 확인하였다. 모형 적합 결과 추정된 변량효과 추정치는 소지역간 변이를 나타내는 지표로 활용될 수 있을 것으로 기대된다.Small area estimation is one of the statistical estimation methods when accurate estimation is difficult due to the small number of samples with a small sample size. Small area estimation are necessary for various statistical production and have been studied in various ways. A model-based estimation method, one of the small area estimation methods, is based on parametric models like regression estimation, spatial estimation and so on. In this study, hierarchical generalized linear model with random effect was applied to major cancers like stomach cancer using two types of distribution of random effect in models, respectively. For distribution of random effect, Gaussain or gamma distributions are assumed. For this purpose, the method of classifying the data into small areas of the administrative unit was presented first, and then the results of the model fitting were compared by region. We expect that the estimated random effect from the fitted model can be used as an indicator of small area variability.
PyNN v0.9.6

PyNN (pronounced 'pine') is a simulator-independent language for building neuronal network models.In other words, you can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST and Brian) and on a number of neuromorphic hardware systems.Home page: http://neuralensemble.org/PyNN/Documentation: http://neuralensemble.org/docs/PyNN/Mailing list: https://groups.google.com/forum/?fromgroups#!forum/neuralensembleBug reports: https://github.com/NeuralEnsemble/PyNN/issuesThis is version 0.9.6. of PyNN
Education Project: Utopia or New Reality?

The article reveals the main specific features of Russian philosophy of the Enlightenment. The activity of the outstanding scientist Mikhail V. Lomonosov, his contribution to the development of domestic and world science and philosophy come to the forth. Russian Enlightenment is distinguished by the originality of the intellectual tradition. Knowledge of Western ideas leads to the emergence of domestic science, philosophy, literature. The desire for freedom, autonomy and progress in science during the century of Enlightenment was combined with adherence to spiritual traditions, and openness to foreign-language culture did not abolish patriotism and reverence for the state.
Health Care Chatbot System

This paper shows the interaction of the people in the medical field. Few years back people who goes suffered with some disease or felling unhealthy they directly went to the hospital and wait for a period of time to meet the doctor. The token as been provided to each person till the token number has to come the patient has to wait. Keeping this unhealthy body they want to do some man power to watch the doctor. By using the chat bot technology they can finds a effective solution at a single place with less period of time. The patient wants to interact with the palaver cyborg. It can ask various question what’s your problem, what your age, due you have vomit etc, like wise some question they will ask we want to reply to the question in a text manner or through the voice.  The palaver cyborg can gets the memorandums from the patient after that the details can be suggested to the memorandums base. After gets verifying the details they gives the perception in which the antibiotic has to been taken at how long period of time. This process can takes a few minutes of time and it is more effective when compared with the previous method.
Path Planning and Obstacle Avoidance for UAV in an Uncharted Environment

Abstract: The growing industry of unmanned aerial vehicles (UAV) requires an efficient and robust algorithm to decide the path of the UAV and avoid obstacles. The study of pathfinding algorithms is ongoing research not just useful in the domain of drones, but in other fields like video games (AI pathfinding), terrain traversal (mapped, unmapped, areal, underwater, land, etc.), and industries that require robots to deliver packages. This paper proposes a new pathfinding algorithm that aims to solve the problem of pathfinding in unknown 2-dimensional terrain. Based on a system of assumptions and using the help of a set of sensors aboard the UAV, the algorithm navigates the UAV from a start point to an endpoint while avoiding any shape or size of obstacles in between. To avoid multiple different types of “infinite loop” situations where the UAV gets stuck around an obstacle, a priority-based selector for intermediate destinations is created. The algorithm is found to work effectively when simulated in Gazebo on Robot Operating System (ROS). Keywords: Path Planning, UAV, Obstacle Avoidance, Drone Navigation, Obstacle Detection, Uncharted Environment.
IMPACT OF CLOUD COMPUTING ON BUSINESS

Cloud computing is very helpful for a business just because cloud computing helps the small and large business to start a digital business. Due to the rapid growth of computing resources over the past years, cloud computing has been treated as a prominent research field and this technology appeared as a new solution in the IT field. Many businesses including small, medium, and enterprise are migrating to this technology for so many reasons such as availability of computing resources, reduced total cost of ownership, on- demand services, increased revenue, and many more. Cloud Computing offers a number of advantages of cloud migration that motivated business enterprises to adopt this change. Our Prime Minister Mr. Narendra Modi Ji dreams to make a digital India and the cloud could help to make India digital.
Research on Commodity Expectation Based on ABC Classification and Association Rules

For some companies, sales means arranging goods and selling them on the shelves. This kind of arrangement of goods regardless of priority brings a lot of internal consumption to the enterprise. With the rapid development of the Internet and industry, many large companies have gradually established and improved their production and sales processes. The traditional ABC classification method can no longer meet this demand. The new method that can compensate for the traditional ABC classification method is particularly important. This article uses association rules to use the ABC classification method to study the expected budget of commodities, uses the Apriori and FP-Growth algorithms in the association rules to collect frequent itemsets of the acquired data, calculates the corresponding association rules, and then classifies the commodities with ABC.
THE IMPLEMENTATION OF EXTENSIVE READING PROGRAM USING XREADING: STUDENTS’ PERCEPTIONS

Extensive reading (ER) has been proven to have positive effects in improving students’ skills at learning English. It is believed as the strategy that can encourage students to develop their English skills such as vocabulary size, reading comprehension and fluency, as well as their grammar. As the foreign language department, English department of Universitas Negeri Surabaya always conducted the activity for the students intended to encourage them to develop their language skills. Extensive reading has been one of the activities that have been carried out to support the students in developing their English skills. By the odd semester of 2019, extensive reading program at English department had shifted from paper-based extensive reading to online-based extensive reading program using XReading platform. It is a qualitative study since it aims to investigate how the students conduct the online-based extensive reading as well as examine their perceptions of the platform as well as its effectiveness in helping the students to improve their English skills. 68 students of English Education students were participated in the study. The data was taken using questionnaire and interview. The questionnaire was distributed to the students followed by the interview aimed at the students who did not give clear explanation in the questionnaire. The result of the study showed that the implementation of extensive reading program were mostly done at home with utilizing some features offered by the platform and positive responses about the XReading platform also given by the students as well as their improvement in some aspects of English ability. Suggestion are made on the further activity in the classroom that would be better to be carried out as the continued activity of what was done by the students at home as well as the routine surveillance by the supervisor should be tightened up.