Reviewerly/exHarmony huggingface dataset:
Modeling for the Spread of Water Pollution under Hydraulic Structure with a Rabbet

In industry and agriculture, along with the increasing influence of various technogenic factors on the environment, there is an important problem of protecting water resources from pollution and salinization, as well as the problem of protecting natural water bodies from pollutants. The solution of these problems essentially depends on the results of a mathematical study of the mass transfer processes of migrating substances in the filtration of groundwater. In this paper, we simulate the process of spreading water pollution under the hydraulic structure of a complex architecture. The unsteady equation of the process of mass transfer of pollutants during the filtration of groundwater was approximated by the finite difference method, while the procedure “weighting upstream” was used to approximate the convective terms. The results of calculations showed that the pollution of the downstream of a hydraulic structure depends on the number of rabbets and their location along the underground circuit. The obtained results can be used in monitoring and building predictive estimates of the migration regime of pollution under a hydraulic structure in real time.
Language Learning and Learner Psychology: Building Autonomy in Multilingual Culture

The notion of autonomous learning used in second language learning has become a focal point of scholars in recent years. However, building an autonomy in specific language learners might be different in the view of psychology within multilingual culture which raised interesting issues. However, learners’ psychology determines about how far they must learn the second language. In addition, the multilingual culture has important role as variable but in an abstract way. It appears that in some languages learners who had multilingual culture backgrounds have different situation in comprehending the English, which also affect in choosing suitable learning strategies to comprehend by their own. Therefore, this research addresses to find out the interrelation in case of building leaner autonomy on English as second language learning in the aspect of multilingual culture in Indonesia. Trough library research, the author found the correlation between learners’ psychological condition such as interest, needs and motivation has some impact on how successful in their own language learning within the multilingual culture as it background. Therefore, building autonomy in second language learning must be aware of multilingual and social culture in society to reap a good result.
Suitability of Widely Followed Earthquake Early Warning Systems to Seismically Active Regions of India, by Considering Destructive Intensity as a Parameter

Background: Indian subcontinent has been witnessing moderate to damaging earthquakes (EQs) since prehistoric times.With growth in the population density and the construction activity, the probable damage during future EQs will also be manifold in comparison to the past.Issuing warnings in advance to the actual arrival of damage causing secondary waves under Earthquake Early Warning (EEW) system is widely followed in different parts of the globe.Though India has been facing EQ induced damages on an alarming level, no functioning EEW system is available in the Indian subcontinent.Present work tests the effectiveness of widely followed Compact Urgent Earthquake Detection and Alarm System (UrEDAS) of Japan by using Destructive Intensity (DI) as a parameter.Main findings: To do so, firstly based on PEER records, empirical correlation between magnitude and intensity is proposed for the detection of alarming EQ.Further, proposed correlation is applied to three different sources of ground motion dataset namely K-NET, PEER and PESMOS in order find out to whether the ground motion is corresponding to a damaging EQ, based on P wave arrival and subsequently use the information to issue a warning in advance.In the absence of recorded ground motion for major to great EQs in India, synthetic ground motions developed in earlier work are used for identification of damaging EQs and issuing of alarm.Conclusions: Overall, it is found that out of 149 EQ records (M ≥ 5) considered in this work, 139 EQs are found correct to raise warning, based on the proposed methodology.In addition, the time window of escape between issue of warning and the actual arrival of secondary waves, are found to vary from 0s to 1mins approximately.Findings from present work concludes that identification of damaging EQ based on first 3s P wave signature, as followed in US and Japan are also compatible for Indian subcontinent towards development of a EEW for the country.This will be very helpful in minimizing casualties and building damages during probable future EQs in India.
A Discretization Algorithm for k-Means with Capacity Constraints

We consider capacitated k-means clustering whose object is to minimize the within-cluster sum of squared Euclidean distances. The task is to partition a set of n observations into k disjoint clusters satisfying the capacity constraints, both upper and lower bound capacities are considered. One of the reasons making these clustering problems hard to deal with is the continuous choices of the centroid. In this paper we propose a discretization algorithm that in polynomial time outputs an approximate centroid set with at most $$\epsilon $$ fractional loss of the original object. This result implies an FPT(k,d) PTAS for uniform capacitated k-means and makes more techniques, for example local search, possible to apply to it.
Deep xenolith of platinum-bearing websterite from paleoproterozoic Volchetundra gabbro-anorthosite massif in the Kola region

The results of studies of the deep platinum-bearing xenolith found in the Volchetundra gabbro-anorthosite massif of the Kola region are presented. It is shown that xenolith with a size of 8.5 × 4 m is composed of websterite in the central part and plagiowebsterite in the marginal. The chemical and mineral composition of xenolith rocks was studied. Information is given on the contents of noble and chalcophile elements in them, as well as the composition of platinum group minerals.
Survey on Breast Cancer Based on Extreme Learning Machine Features

Extreme Learning Machine algorithm which it is an optimization based learning framework for compression, feature, clustering, regression and classification. It is an artificial hidden nodes and proposed to overcome these issues and offer better generalization performance by Unique minimum solution. In this paper Computer-aided diagnosis (CAD) based on Convolutional Neural Network (CNN) feature and they are based on deep, morphological, texture and density features. Mammography concept is been more used and to detect early stage of breast cancer and can helps out whether they are Malignant or Benign in CAD system they are classified by normal or abnormal tissue with the help of mammography images. The main objective of this paper is to detect the stage of breast cancer tissue is harmful or not in this algorithm.
Student Teachers’ Self-Efficacy: Appraisal from the Perspective of Professional Competence

Self-efficacy beliefs, which are the confidence student teachers have in their professional competence are closely related to academic and professional training outcomes.The purpose of this study was to appraise the effects of student teachers' selfefficacy on their professional competence.One research questions and hypothesis was formulated to guide the study.It was a survey research.A sample of 323 student teachers selected purposively from five Government Teacher Training Colleges in the South West Province completed an adapted version of teacher-efficacy scale developed by Woolfork-Hoy (1990).The data were analysed using the Statistical Package for the Social Sciences (SPSS) Software version 12.0 for windows.The finding showed that self-efficacy of student teachers was high and they tended to have above average scores in academic performance.The results were discussed and some recommendations and suggestions for further studies have been made.Prevent kidney cancer quit smoking, maintain a healthy weight, control high blood pressure, life style modification can reduce incidence of cancer.
DEPARTMENT OF ORGANIZATION OF LIBRARY COLLECTIONS AND CATALOGS IN THE CONTEXT OF THE EVOLUTION OF LIBRARY AND INFORMATION EDUCATION IN KNUCA (1976-1994)

The purpose of the work is to investigate the history of forming the Department of Organization of Library Collections and Catalogs of KNUCA, to determine the contribution of the teachers of the department to the development of Ukrainian library stock and catalogization studies as parts of the Kyiv library scientific and educational school. The methodology of socio-communicative, systemic and historical-genetic approaches, including the methods of historiographical and source search and analysis of profile publications on the subject under investigation, helped to achieve the research goal, which made it possible to determine the factors that influenced the development of scientific studies of library stock and catalogization. The scientific novelty of the work is that it has elucidated the history of forming the Department of Organization of Library Collections and Catalogs of KNUCA for the first time. The formation of the Kyiv scientific and educational school of library stock studies as well as the contribution of the teachers of the department and its leader, the Head of the Department Professor Petro Kolomiiets, to the elaboration of the Professional Education program for training librarians, library stock specialists, and catalogers, have also been considered in the conditions of changing the paradigm of library science from documentary to informational. Conclusions. The experience of the Department of Organization of Library Collections and Catalogs continues to be implemented in the course of transforming the professorial teaching staff ’s work into the elaboration of new educational and professional programs for training informatiology specialists of a “new” Ukraine within the newly created Department of Information Technologies, at present headed by Professor Tetiana Novalska, Doctor of Historical Sciences, a scientist who is well-known both in Ukraine and far beyond its borders. All the above and available archival materials give grounds for initiating the introduction of special scientific research on the role and position of each department in the half-century history of the formation and development of the Kiev National University of Culture and Arts.
To Go Where we Have Never Been to: 3D Real-Time Visualizatuion of Terrain Database

3D visualization is important content of digital terrain information space performance. Based on high-precision bathymetric data by NOAA and high-resolution satellite image data, this paper construct the seafloor at the Mariana Trench and the lake Superior scene data model, which roaming anywhere at any angle of view in the 3D terrain scene are interactively obtained and dynamically presented the nature looking in real-time truly and intuitively using Vega-Prime system. As the benefit with using 3-D visualization technology, we can go to visit places where we have never been to.
HOMO PARVUS MUNDUS EST: IMAGINATION AS A TOOL OF KNOWLEDGE AND FORMATION OF THE WORLD

The purpose of the article is to identify the essence of the concept of imagination as a tool for knowledge and creation of the world. Methodology. The choice of research strategies in the disclosure of the research objectives determined the application of a systematic and integrated approach, as well as comparative and heuristic methods, due to the active development of related scientific disciplines. In this context, we also use the prognostic aspect of the research, involves the formation of new value models and symbols, reflecting the cultural and artistic forms of modern civilization. The use of these research methods contributed to obtaining the own theoretical results. The scientific novelty of the research lies in the formulation and development of a certain topic that has not received comprehensive and objective coverage in the scientific dimension and is being studied for the first time. It is validated the idea that the results of understanding the essence of imagination can serve as an essential component in the study of contemporary cultural achievements, as well as in the knowledge of the facets of human consciousness, concentrated in the field of neuroscience discoveries of modernity. Conclusions. The development of human culture presented various forms of human influence on the formation of the world. Separating imagination as a literal tool in this process determines the ability to change the world. It is accentuated that it is precisely the imagination that fully reflects the internal mechanisms of human brain, activating human activity, aimed at the knowledge and creation of the world.
Instructional Educational Technology Improve Teaching and Learning Effective——Building Chinese Wisdom Curriculum of Lower Grade in Primary School

With the rapid development of the times and science and technology, the quality-oriented education changes emerge as the times require.Whether teaching content or teaching form and teaching means are constantly changing, the purpose is to achieve effective teaching within a limited time, to provide targeted teaching for each student to promote student development, at the same time, let students learn how to learn on the basis of learning knowledge, learn to gain.Based on the teaching practice in the classroom, this paper attempts to explore the construction of the primary school language wisdom classroom from the scientific and technological means and methods used in the teaching and learning process, so as to help teachers and students carry out effective teaching and learning in the limited curriculum, develop together and achieve win-win situation.
A Hybrid Matrix Factorization Method with Isolation Forest for Recommendation System

Matrix Factorization (MF), which is a traditional Collaborative Filtering (CF) technology, has been widely used in recommendation system. MF model relies on exiting user-item ratings, which maybe contains some noise because of intrusion attack, error of log system or mistake of artificial data. In order to detect these data noises and enhances the rating prediction accuracy, we propose a new method, a hybrid matrix factorization technique with Isolation Forest (IForest), which is shown to be highly effective in detecting anomalies with extremely high efficiency. IForest detects anomalies by builds an ensemble of iTrees for a given data set, then anomalies are those instances which have short average path lengths on the iTrees. Extensive experiment results on movieslens (1M) datasets show that our hybrid model outperforms other methods in effectively utilizing side information and achieves performance improvement.
Automatic Image Dataset Generation for Footwear Detection

In this work, we explore the problem of object detection in the shoe manufacturing application. We propose different methods for the automatic or semi-automatic generation of image datasets. Our approach avoids the time consuming task of collecting labelled images, which is required for training neural networks.
Digital Evidence Identification on Google Drive in Android Device Using NIST Mobile Forensic Method

The use of cloud storage media is very popular nowadays, especially with the Google Drive cloud storage media on smartphones. The increasing number of users of google drive storage media does not rule out the possibility of being used as a medium for storing illegal data, such as places to store negative content and so on. On a smartphone with an Android operating system that has a Google Drive application installed, digital evidence can be extracted by acquiring and analyzing the system files. This study implemented a mobile forensic method based on guidelines issued by the National Institute of Standards of Technology (NIST). The results of this study are presented in the form of data recovery in the deleted Google Drive storage media, which results in the form of headers of the data type in the form of deleting account names, deleted file types, and timestamp of deleted files. Digital evidence obtained with 59 Axiom Magnet software found in the Entry227 file, with 46 files, if the percentage is a success rate of 77%.
PENGAMANAN DATA PADA APLIKASI SIJALU UNIVERSITAS SEMARANG DENGAN METODE REMOTE BACKUP &amp; RESTORE

&lt;p&gt;Security of web applications should include a variety of ways, one of which is concerned about data security. Websites that already have a lot of users it is proper to consider the backup and restore strategy to prevent data loss. Besides the use of backup and restore is done on a scheduled basis should also be done at any time, so it is necessary to do the planning and use of the right tools so that the implementation is easier. Journal of Information Systems (SIJALU) University of Semarang contains data of scientific publications from researchers at tire University of Semarang and other campuses. Currently SIJALU not yet have a strategy for the prevention of data loss, this study intends to design and produce a data security benefits of using remote backup and restore. This research is expected with the data stored in SIJALU can be maintained.&lt;/p&gt;
Solar Tracker in P.T.U E.P Department

The main importance for this paper is that sixth year students can be used laptop and projector in presentation for their mini thesis though the light is off.As four 90W solar panel is connected in parallel, total power is 360W that is reliable for our loads.In this paper, the comparison between single axis and dual axis tracker radiation for Pyay District is expressed.Moreover, Ardunio program is applied for dual axis solar tracker.Myanmar is more suitable solar power to store energy in battery during sunny days as renewable.
Peculiarities OF TRAINING OF FUTURE SPECIALISTS OF SOCIONOMIC PROFESSIONS TO WORK IN THE INTERCULTURAL ENVIRONMENT

The purpose of this paper is to substantiate the system of formation of intercultural competence of future specialists of socionomic professions. Methods used: problem-target analysis of scientific literature, modeling of the system of formation of intercultural competence of future specialists of the socionomic sphere. The author: analysed the problem of professional training of future specialists of socionomic professions in the context of the necessity of forming their ability to work in the intercultural environment; characterised the specifics of the activities of specialists of socionomic professions; outlined the leading functions that specialists carry out in the process of professional activity (educational, monitoring of social and interpersonal problems of individuals / groups / communities, expert examination of social and interpersonal problems, social support of individuals and social groups, social protection of individuals / groups / community, assistance in the harmonisation and humanisation of social and interpersonal relations). The general professional skills of specialists of socionomic professions (analytical, projective, forecasting, communicative, organizational) are distinguished and characterised. The necessity and expediency of a systematic approach to the training of future specialists of socionomic professions based on the specifics of their professional activities is substantiated. The system of formation of intercultural competence of future specialists of socionomic professions is characterized. The main components of the system (conceptual-target, structural-content, technological and procedural and monitoring-corrective) are revealed; their content is described. Monitoring and correction of the process of formation of intercultural competence of future specialists of socionomic professions is carried out according to criteria and indicators that allow to confirm the correspondence of the obtained result with the research objectives, its purpose, to analyse the effectiveness of the system of formation of intercultural competence.
Study on Effects of Social Networks Usage on PG Students

In the business world-the uses of ICT has been increased to such an extent that all the businesses are revolving the terms like-cloud computing big data, of things (IOT) and effective uses of social network media.Due to dramatic changes in the communication arena, which has made drastic impact on the every aspects of human life.The education sector has also been witnessing a severe impact of social media and networks.Social networks has now become a consistent platform for today's learners as a medium of sharing the thoughts, ideas, feeling and assisting in connecting friends, people, relatives and also as a learners platform.
Anatomy Knowledge Graphs: Toward FAIR morphological data

Most morphological data are still published as unstructured texts. This has far-reaching consequences for the Findability, Accessibility, Interoperability and Reusability of morphological data and thus for their FAIRness (Wilkinson et al. 2016). The lack of FAIR morphological data significantly affects their general usability within the life sciences. With the advent of the Semantic Web and an increasing amount of publicly accessible anatomy ontologies, technically feasible solutions to this linguistic problem of morphology have become available. After a brief introduction to the distinction between instance anatomy (anatomical data pertaining to instances, i.e. individuals) and canonical anatomy (generalized anatomical knowledge), between assertional statements (i.e., ABox expressions, statements about instances) and universal statements (i.e., TBox expressions, statements about kinds or classes), and between knowledge bases and ontologies, I compare two different approaches of representing anatomy through Resource Description Framework (RDF) based graphs (see Fig. 1): i) Semantic Phenotypes , which are class-based graphs that document anatomy purely as TBox expressions and ii) Semantic Instance Anatomy Knowledge Graphs (short: Anatomy Knowledge Graphs ), which are instance-based graphs that document anatomy as a combination of ABox and TBox expressions, thereby limiting the portion of TBox expressions to a minimum. While both approaches provide solutions to the linguistic problem of morphology, they differ not only conceptually but also in their technical details. Because Anatomy Knowledge Graphs include ABox expressions, they allow the identification of any individually described part or property within the description through the part’s or property’s particular URI. This detail allows fragmentation of a morphological description into meaningful description fragments and reuse of these fragments in other contexts. Because Anatomy Knowledge Graphs limit TBox expressions to a minimum, they also perform better in many queries as querying ABox expressions is computationally less difficult than querying TBox expressions. These technical differences between the two approaches have substantial practical consequences that significantly affect the FAIRness of morphological data. Compared to Semantic Phenotypes , morphological data in the form of Anatomy Knowledge Graphs are overall more FAIR.