Reviewerly/exHarmony huggingface dataset:
Solar radiation estimation using sunshine hours for hot and humid climate of Konkan region

The accurate knowledge of the solar radiation intensity at a given location is of importance to the development solar system design, crop modeling and input to other modeling purpose.In the present study an attempt was made to estimate the different components of solar radiation such Ra, Rs, Rnl, Rns, Rn using methodology suggested by FAO-56 method based on the sunshine hours and temperatures for Alibag station using 24 years weekly climatic data with 1240 observations.The correlation analysis showed that net solar radiations (Rn) showed maximum positive correlation coefficient was observed for sunshine hours followed by maximum and minimum temperature.These results indicated that the different components of solar radiation are highly influenced by sunshine hours followed by maximum temperature.This correlation analysis is helpful for development of empirical equations under limited or lack of climatic parameters.The study also found that the different component of solar radiation such as extraterrestrial radiation (Ra), clear sky solar radiation (Rso), Net shortwave solar radiation (Rns), Net long wave solar radiation (Rnl), Net solar radiation (Rn) estimated by FAO-56 method can be used for crop modeling and input to other models.The derived weekly values had revealed the more error during monsoon season which might be due to cloudy conditions and heavy rainfall.The study also developed linear regression equation Rn = 0.652*Tmean + 0.635*SSH-10.874which can be used for prediction of solar radiation with considerable accuracy during the summer and winter season when compared with FAO-56 method.
ПОБУДОВА ТА НАЛАШТУВАННЯ МОДЕЛЕЙ ГЛИБОКОГО НАВЧАННЯ ДЛЯ РОЗПІЗНАВАННЯ РУКОПИСНИХ І ДРУКОВАНИХ ЦИФР НА ЗОБРАЖЕННЯХ ЧАВУНВОВОЗНИХ КОВШЕЙ

The results of the construction and testing of deep learning neural network for handwriting recognition are presenting in the paper. The latest publications on solving problems of recognition and analysis of texts by their images were analyzed; a number of application libraries were selected to create a program for experiments: Keras, TensorFlow, Pandas, Matpoltlib and others. An information technology for the recognition of handwritten numbers of cast-iron ladles from their photographs was built. To build and train the model, the well-known and complete base of handwritten digits MNIST chosen. The model for recognizing numbers included the input and output layers, as well as one or more hidden layers. Model training was carried out using a variable number of steps (eras). Recognition images should be scaled to a size of 28x28 (784 cells in a one-dimensional representation), so the number of neurons in the input and hidden layers was assumed to be 800. Image processing (filtering, scaling, etc.) was performed using the OpenCV library. For recognition, each image of the digit was converted to a size of 28x28 and fed to the input of a pre-trained neural network. To more accurately and reasonably configure the recognition model, the Keras-tuner package was tested. Development of work with the Keras-tuner package was performed on simple regression-type models with several inputs and 1-3 outputs. The possibility of significant optimization of the model behavior is established. After optimizing the model, the recognition accuracy of test images (several images of buckets) was about 100% The information technology highlighting the area of interest in photos containing handwritten digits for further recognition is worked out. The possibility of optimization of deep learning neural networks built with the help of Keras library is shown. A simple model with tight, fully hidden layers and optimization of model parameters with Keras Tuner package has been found to provide sufficient recognition accuracy.
Novel Methods Transcending the Standard Model of Physics

The physical standard model is used to date to explain microscopic structure of nature on a more or less phenomenological basis. In this article, three principal approaches of physics are compared, which are foundational for classical theoretical physics of the 20th century: The General Relativity of Einstein, the theory of Rainich, which uses the Einstein-Maxwell equations, a first unification of phsics, and the Einsten-Cartan-Evans theory of Myron Evans. The latter unifies classical and quantum physics. The discussed methods take us beyond the standard model. Special focus is set to the known Einstein-Maxwell equations, for which a novel solution scheme was developed by Bruchholz. Consistently, quantities of elementary particles can be predicted on base of a classical theory.
Federated Learning in Big Data Application and Sharing

In recent years, electricity big data has extensive applications in the grid companies across the provinces. However, certain problems are encountered including, the inability to generate an ideal model using the isolated data possessed by each company, and the priority concerns for data privacy and safety during big data application and sharing. In this pursuit, the present research envisaged the application of federated learning to protect the local data, and to build a uniform model for different companies affiliated to the State Grid. Federated learning can serve as an essential means for realizing the grid-wide promotion of the achievements of big data applications, while ensuring the data safety.
Knowledge Management and the Governmental Organisations

Abstract.Nowadays, the concept of Knowledge Management is gradually being recognized in governmental establishments which are seeking to deploy their own knowledge management system and make the most of their existing knowledge in policymaking, by creating and maintaining a competitive advantage in the domestic and international environment.For an organisation, the intellectual assets and individual knowledge are as important as the other physical and financial assets. Knowledge is a primary resource featured to provide a competitive advantage to any organization that recognises and incorporates it efficiently in its processes.This article aims to review the value of knowledge management, the pillars by describing its cycle and highlighting its importance for governmental organisations. The obstacles and difficulties of implementing and deploying knowledge management in government organisations with suggested solutions that are also discussed.In conclusion, recommendations for decision makers are presented to enhance the efficiency of the knowledge management implementation and scale up the gain of a lasting competitive advantage within national and international environments.
Strategi Inovasi Usaha Civitas Akademika STEBIS IGM Melalui Media Informasi Teknologi Berbasis Web

Campus is an environment that can be a mediator and facilitator in developing the creativity of students as the nation's young generation, and campus academic activities have a role to teach, educate, train, and motivate students to become intelligent, creative, innovative, independent and able to create an opportunity to be able to create a workspace not only for itself but also the environment. Utilization of website-based information technology can deepen and practice their business skills during lectures in college.
Desarrollo de comunidades de aprendizaje en línea para titulaciones jurídicas. #Relaciónate: plan transversal de innovación docente a través del uso de nuevas tecnologías en el Grado en Relaciones Laborales

This paper shows the results of a teachinginnovation Project called #Relaciónate of the University of Cantabria. This Project was designed to stablished a communication and specialist information channel between Labour Relations Degree students and teachers. The regular publication through Twitter was focused on legal reports, sentences, doctrinal analysis selected by teachers and specialised profiling network –like official bodies, professionals, teachers connected by social network, ecc.-. This particular system creates an online learning community which allows us to contextualize and share theoretical contents being taught in classroom and to improve the students involvement in learning processes and their relevant skills and values, such as self-directed learning, critical thinking or information management.
ВИКОРИСТАННЯ WEB-ЗАСТОСУНКУ НА ОСНОВІ ФРЕЙМВОРКУ ANGULAR ДЛЯ ОРГАНІЗАЦІЇ ТЕСТУВАННЯ ПІД ЧАС НАВЧАЛЬНИХ ЗАНЯТЬ

This article explores the possibility of developing and using an Angular-based web application to provide feedback to an audience during a lesson. This framework provides the convenience of web application interfaces on different devices without any limitation of their functionality. This framework has many powerful features that allowdevelopers to create one-page web applications easily. Angular is well suited for applications that need to run in multiple development environments. The basic principle of web application operation is based on the already existing system of passing tests during training. But since mobile devices have become an integral part of our lives,they can be used in testing. The main difference from the existing test systems offered in this article is that the server, in this case, is the laptop of the teacher, and communication with students'smartphones is via a local network, including the router. It gives the possibility to be independent of the external Internet and to leverage the students' smartphones in the teaching process, which usually distracts them during class. This testing technique does not require a computer classroom and can be carried out in any audience.Using this framework, we created a web application that allows students to be tested during a lesson. This one works on the principle of a one-page app. It reduces the loading time of each new page when logging into the application. We used a random sort algorithm to sort the questions in the test. Each teacher for his discipline can create his test database. The app can be used for anysubject in both university and school.
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?

Large pretrained language models (LM) have been used successfully for multi-hop question answering.However, most of these directions are not interpretable, as they do not make the inference hops necessary to explain a candidate answer explicitly.In this work, we investigate the capability of a state-of-the-art transformer LM to generate explicit inference hops, i.e., to infer a new statement necessary to answer a question given some premise input statements.Our analysis shows that such LMs can generate new statements for some simple inference types, but performance remains poor for complex, real-world inference types such as those that require monotonicity, composition, and commonsense knowledge.
Conditions Of The Teacher’S Professional Skills Development As An Educator

The relevance of the research is determined by the high demands of society and the state to the educational activities’ results of the modern school. The main aim of the article is to determine the conditions of the teacher’s professional skills development as an educator. There are some leading methods used in the article such as the theoretical analysis of psychological and pedagogical researches and the rating method. The study was taken place in three stages. The theoretical analysis was used at the first stage when the authors were studying the works of domestic and foreign researchers on the issue under consideration. This made it possible to present in the article the author’s definition of the term “the teacher’s professional skills as an educator”. Also, the theoretical analysis of the researches on the issue under consideration allowed the authors not only to identify the conditions which were affected the teacher’s professional skills development as an educator, but also to develop questionnaires. The questionnaires were used at the second stage, i.e., during an empirical study. The authors convincingly proved that the teacher’s formation as an educator was more influenced by conditions which related to external factors. At the same time, the data obtained made it possible to identify conditions whose importance was recognized by teachers, but their potential was not sufficiently realized in their practical activities. In conclusion of the article, the authors highlighted the conditions of the teacher’s professional skills development as an educator in a general educational organization.
Using of the Application Programs for the Decision of Tasks on Physics

The article discusses the possibilities of using modern computer technologies, in particular, the Mathcad application program for visual representation of physical processes. This article shows methods for solving ordinary differential equations in the Mathcad package based on numerical methods. As an example of a nonlinear process, the Cauchy problem for a second order ordinary differential equation is solved using the Mathcad odesolve function, which is a complication of the linear oscillator equation, and a graph is obtained. It also talks about the advantages of using the Mathcad application program for solving problems in physics, which allows you to not only make the necessary calculations, but also to arrange your work using graphs, drawings, tables and mathematical formulas. Based on the results of these modeling works, the user gets the system model ready and can only set the initial conditions and control all the parameters of the model during the numerical experiment. In this regard, this program provides an opportunity to expand the teaching activities of the teacher and increase the independence and activity of students.
Positive Thinking and its Relation to the (Extravert – Introvert) Personal Dimension of the Postgraduate Students

The aim of the current research is to identify the scale of positive thinking among graduate students, and to identify the personality dimension (extroversionintrovert) among graduate students, and to identify the significance of the statistical differences in the personality dimension (extroversion -introvert) according to the variables of the type (male -female) and specialization (Scientific -Human), and to identify the force and direction of the correlative relationship between positive thinking and post-personality (extroversion -introvert) among graduate students: The research sample consisted of (300) male and female students from graduate students at University of Anbar.The researchers used two measures: firstly, the scale of positive thinking (preparation of the researchers).Secondly, the measure of post-personality (extraversionintrovert (for Eysenck,)).The researchers using appropriate statistical methods studied using statistical programs (SPSS) has reached a number of results, most notably: 1.The graduate students of the current research sample possessed a high level of positive thinking and statistical significance at the level (0.05). 2. Social students are more introverted, with a level of significance (0.5). 3.There is a direct relationship and statistically significant relationship between positive thinking and extroverted post-personality.There is an inverse relationship and statistically significant difference between positive thinking and introverted post-personality.
The Overview of Genetic Algorithm with Tree Chromosome Structure to Identify Functions

This paper is a collection of previous studies for function identification by simple genetic algorithm (GA) [1] with tree chromosome structure which has been proposed in [2]-[7], and gives the details more than survey paper. This paper also aims to introduce the studies which were written in Japanese. In this paper, there are five main points. First, a tree chromosome structure, which is the core idea of the studies, is introduced. The tree chromosome structure makes GA succeed in function identification called symbolic regression. Second, the proposed GA with tree chromosome structure succeeded in identifying the target functions from the observed data are shown indeed. The target functions are algebraic functions, primary transcendental functions, time series functions including chaos function, and user-defined one-variable functions. Third, to find function represented with some parentheses, a hierarchical tree chromosome structure is introduced. Forth, some local search methods to aim at the improvement for identification success rate and shortening identification time are introduced. In the end of this paper, the proposed tree and hierarchical tree chromosome structure can be adapted for identifying Boolean functions are laid out.
Detrimental Effect of Cell Phones and its Awareness among Adolescents in Selected Urban Community of Sikar City (Rajasthan)

Communication is essential in every area of life.The cellular telephone system is a way of providing portable telephone services.Cell phones are a vast improvement over the telecommunications technology of the past century, and are deadly became a part of modern life.Cell phones have become a necessity for many people throughout the world but nothing is without some detrimental effects.Such detrimental effects of cell phones on the youth may lead health risks such as mental health and physical health problems; hence a study was conducted to assess the detrimental effects of cell phones and its awareness among adolescents.A structured interview schedule was used to determine the detrimental effects of cell phones and its awareness among adolescents.Non Experimental uni-variant descriptive design is used on 100 adolescents from Urban Community of Sikar City.The technique used in the study is Non probability convenient sampling technique and it shows that out of 100 about half of the adolescent (48%) were averagely aware, around 46% were poor awareness, and only 6% were fully aware about the detrimental effects of cell phones.
Learning Informative Representations of Biomedical Relations with Latent Variable Models

Extracting biomedical relations from large corpora of scientific documents is a challenging natural language processing task.Existing approaches usually focus on identifying a relation either in a single sentence (mention-level) or across an entire corpus (pair-level).In both cases, recent methods have achieved strong results by learning a point estimate to represent the relation; this is then used as the input to a relation classifier.However, the relation expressed in text between a pair of biomedical entities is often more complex than can be captured by a point estimate.To address this issue, we propose a latent variable model with an arbitrarily flexible distribution to represent the relation between an entity pair.Additionally, our model provides a unified architecture for both mention-level and pair-level relation extraction.We demonstrate that our model achieves results competitive with strong baselines for both tasks while having fewer parameters and being significantly faster to train.We make our code publicly available.
Investigation and Analysis of Audio Materials for College Students' English Journal Autonomous Learning

Reading is an important part of language learning.We can detect the vocabulary and grammar abilities of English learners through reading, cultivate their senses of English language, and deepen their understandings of English readings.When students learn English at college, they need to memorize 4000-6000 words.In addition to memorizing words in daily life, reading is one of the important ways to improve students' vocabularies.However, most college students do not really understand the main purpose of an article.In view of the current status of English reading, foreign journal intensive reading apps have created convenient conditions for students to learn English anytime and anywhere, so that students can choose their own learning content and adopt multiple forms of listening, speaking, reading and writing.Learning methods are mainly divided into two types, learning through audio materials in the apps and self-reading.This article explores the two different methods hoping for a little contribution to their English learning.
Electronic publications on standardization produced by the Russian National Public Library for Science and Technology

The digital publications on standardization produced by the Russian National Public Library for Science and Technology are discussed, namely: English-Russian Dictionary of Machine-Readable Cataloguing, Electronic Terminological Dictionary of the System of Standards on Information, Librarianship and Publishing (SIBID), Database on Standards. Each entry comprises a brief description, its characteristics and intended purpose. In conclusion, digital publications on standardization being planned are discussed.
Verbs of falling and throwing in Basque

. The present article analyses verbs of falling and throwing in Basque. The frame-based approach is used to fi nd out the relevant semantic oppositions. Both elicitation and corpus data are used in the study. The dominant Basque verbs of falling are erori ‘to fall’ and its Bizcayan counterpart jautsi, which can be used in most of the frames. Another verb, isuri ‘flow’, can refer to liquids, as well as the dominant verb. The verb etorri ‘to come’ refers to liquids moving horizontally, rather than vertically. Falling of hair and teeth can be expressed with the verb galdu ‘to lose’. The only frame where the dominant verb erori is hardly ever used is falling of rain and snow. The predicate ariizan with progressive meaning and the verbs egin ‘to do’ and bota ‘to throw’ can be used instead. The dominant verb of throwing in Basque is bota ‘to throw’ taking both allative and locative arguments. Intensive throwing is expressed by verbs jaurti, jaurtiki, aurtiki ‘throw, toss, cast’. Some verbs of throwing, such as lurreratu ‘to throw to the ground’ &lt; lur ‘ground’, ureratu ‘to throw to water’ &lt; ur ‘water’, airatu ‘to throw to air’ &lt; aire ‘air’ incorporate the Orienter. The incorporation of a typical Trajector is possible as well, cf.harrikatu ‘to throw stones’ &lt; harri ‘stone’ and dardatu ‘to throw an arrow, a spear’ &lt;dardo ‘arrow, spear’. Metaphorical meanings of verbs of falling and throwing in Basque often have their counterparts in the neighbouring Romance languages — Spanish and French. Thus, the verb erori ‘to fall’, as well as its Spanish counterpart caer can refer to winning something in lottery. The Basque verb bota ‘to throw’, as well as Spanish echar can refer to fi ring an employee, getting rid of an object or showing a film
The Impact Of Adopting The Social Responsibility On Marketing Performance An Applied Study on NAFTAL Company

This research paper aims at studying the effect of adopting the corporate social responsibility on marketing performance indicators, where the study adopted the descriptive method for theoretical concepts, in addition to the statistical approach by using the SPSS v25 program to analyze the questionnaire and test the hypotheses of the study. The results showed that there is a positive correlation between social responsibility and marketing performance indicators, and the study found that it is better for NAFTAL Company to mix the environmental and social responsibilities in order to improve its marketing performance. Also, the study recommended that Naftal should adopt the four responsibilities equally, correctly and make its workers more aware of environmental and social responsibility through establishing it as a belief in its mission and vision, in order to gain a global position.
Prediction of Groundwater Level Changes Using Hybrid Wavelet Self- Adaptive Extreme Learning Machine Model- Observation Well of Sarab Qanbar, Kermanshah

Prediction of Groundwater Level Changes Using Hybrid Wavelet Self- Adaptive Extreme Learning Machine Model- Observation Well of Sarab Qanbar, Kermanshah
Correction to: Development and evaluation of an Urdu treebank (CLE-UTB) and a statistical parser

In the original publication of the article the column headers of the Tables 17 and 18 were incorrectly published. The corrected version of Tables 17 and 18 are provided with this Correction.