Reviewerly/exHarmony huggingface dataset:
DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions

Several computational models have been developed to detect and analyze dialect variation in recent years. Most of these models assume a predefined set of geographical regions over which they detect and analyze dialectal variation. However, dialect variation occurs at multiple levels of geographic resolution ranging from cities within a state, states within a country, and between countries across continents. In this work, we propose a model that enables detection of dialectal variation at multiple levels of geographic resolution obviating the need for a-priori definition of the resolution level. Our method DialectGram, learns dialect-sensitive word embeddings while being agnostic of the geographic resolution. Specifically it only requires one-time training and enables analysis of dialectal variation at a chosen resolution post-hoc -- a significant departure from prior models which need to be re-trained whenever the pre-defined set of regions changes. Furthermore, DialectGram explicitly models senses thus enabling one to estimate the proportion of each sense usage in any given region. Finally, we quantitatively evaluate our model against other baselines on a new evaluation dataset DialectSim (in English) and show that DialectGram can effectively model linguistic variation.
GAYA BICARA PADA STAF PENGAJAR JURUSAN AKUNTANSI POLITEKNIK NEGERI SEMARANG DI DALAM KEGIATAN PROSES BELAJAR MENGAJAR

This study aims to determine the extent to which the teaching staff in the Semarang State Polytechnic Accounting Department applies a style of speech; i.e. either oratory, deliberative, consultative, relaxed, or intimate. The data collection is done by questionnaire and class observation. The population of this study consists of teaching staff at the Semarang State Polytechnic Accounting Department. The data is more qualitative, which is more in the form of a description of the characteristics of the respondents and not much related to the numbers. Sampling technique is done by population, namely all teaching staff of Semarang State Polytechnic Accounting Department. Data analysis is carried out by a Likert Scale of 5. The results indicate that Consultative Speech is the style most widely applied by the Teaching Staff of the Semarang State Polytechnic Accounting Department, while the oratoric speaking style is the least practiced style. Extemporan presentation method is the most widely applied method in the activities of the Teaching and Learning Process in the Semarang State Polytechnic Accounting Department, while the impromptu method is the least applied method. The most widely used body language is a smile, while eye flicker is the least applied body language. The distance between the Teaching Staff and Students in the Teaching and Learning Process activities that are most widely applied are groups (125-350 cm), while the least applied distance is intimate (50 cm). The results of this study support the previous research that the use of Body Language greatly affects the success of the Teaching and Learning process.
Structural Optimization of Concrete Volume for Machine Foundation Using Genetic Algorithms

This research work aims to optimize a concrete foundation designed to support a high-capacity motor-driven compressor. The structure has plane dimensions of approximately 15 m × 11 m and a height of 1.5 m. The concrete block is to be supported by 20 concrete piles approximately 8.5 m in length and 0.5 m in diameter. The investigated structural system is subjected to deterministic dynamic loadings due to the nature of the equipment supported by the concrete foundation. The main objective of the optimization is to reduce the structural volume through the analysis of its dynamic response, in order to minimize the cost of the concrete volume. In this research work, Genetic Algorithms (GAs) are used through an appropriate interface between ANSYS and MATLAB software. The results of this study show that through the GAs it is possible to achieve a considerable volume reduction with respect to the original volume of concrete used in the design of the foundations structural system.
Forging new lives, using mobile technology

The case of Moujahed Akil, a Syrian refugee in Turkey, highlights the fact that innovative mobile learning practices are best driven from within the communities to address real needs, sustain development, empower members and maximize impact.
Education is the key to the formation of the &amp;quot;zone of knowledge&amp;quot; in the integration associations of States and the potential of self-realization of the individual in civil society

The article deals with education as a sphere that is the basis for the formation of the "zone of knowledge" of modern States individually and integration associations of States on the example of the EU and the EAEU. The author reveals the purpose and main directions of national programs for the development of educational space in Russia, the EU and the EAEU, as well as the impact of education on the formation of "knowledge society" and self-realization of the individual in civil society. Due to the fact that the formation of a common "area of knowledge" in the modern conditions of digital technologies is not possible without the integration of education into the world educational space (community) on an equal and mutually beneficial basis, the article emphasizes the necessity of participation of Russia in this process.
Musical Thinking as the Basis of Piano Music Performance

The aim of this paper is to study the influence of musical thinking on piano performance.Research methodology. The author suggests the methodological substantiation of the problems of musical thinking as the basis of piano performance drawing on a comprehensive approach to the phenomena of culture. The processes and trends of the influence of musical thinking on the performing culture as an objective regularity and continuity of the spiritual tradition are studied. In this study the author uses historical-cultural, system-functional, psychological-pedagogical and art methods of analysis.Results. The paper examines the processes and trends of the influence of musical thinking on the performance process caused by improvement of the creative concept of the performer. Knowledge about the culture of the historical period, the composer and his work, the author’s concept of the composition play a key role. The paper demonstrates that the main problem of the performance process consists in the fact that the performer should join together the work written by the composer and the audience for which it will be performed. The performer also should overcome the objectivity of the author’s intention and the subjective interpreting the original work. The author of this study identifies the idea of musical thinking as the basis of the piano performing art that is confirmed by the basic pedagogical principles of the famous piano teachers of Ukraine of the 20th century.Novelty. An attempt is made at identifying musical thinking as the basis of the piano performing art.The practical significance of this study consists in the development of active musical thinking, which is of great importance in implementing the performer’s creative ideas both in the process of arrangement and stage interpretation of a musical composition. It contributes to developing original sound images and identifying the artistic content of the work, as well as emerging distinctive individual performance styles.
Textual interpretation generation in Indonesian language based on blood chemistry tests data using r-template based approach

The result of the blood chemistry tests is usually presented in the form of a table written in abbreviations, numbers, and units. Unfortunately, the young doctors often require the time and experience for interpreting the blood chemistry tests into a textual representation, which is easy to read and understand. Therefore, this research aimed at developing a system (BTISys) that can generate the textual representation in the Indonesian language automatically based on the blood chemistry test. BTISys generates the representation using Natural Language Generation (NLG) approach based on the r-template method. The reliability of BTISys is measured by considering the naturalness of generated textual representation. The naturalness can be observed by three criteria, such as readability, clarity, and general appropriateness. The reliability of BTISys is quite good to generate the textual representation automatically. It can be seen from the readability, clarity, and general appropriateness, which reach 73 %, 70 %, and 60 % respectively, that implies the naturalness of generated textual representation.
ANALISIS STRUKTUR TEKS CERITA FANTASI PADA SISWA SMP

This research is motivated by a lot of student writing that does not fit into the structure of the text of a fantasy story due to several factors that make it difficult for students to pour their writing. In this research, formulate a way to make student writing in making fantasy story text according to its structure? The purpose of this study was to describe fantasy stories based on agreed structure, complications and resolution. Get acquainted with junior high school students in writing fantasy story texts according to the structure and language of fantasy stories. Therefore, this study focuses more on the results of student skills, for the analysis of each of the results of his writing to fit the text structure of fantasy stories. The method used in this research is descriptive qualitative. The instrument in this study is about texts that write fantasy stories to students. Analysis of the data in this study includes the results of the study that were approved by two assessors namely assessor 1 and assessor 2 responded by calculating the average results of student writing. With the subject of research successful students 22 people. The value of the results of this study of 3 fantasy story text structure of the discussion, complications and maximum approval of 8.75, an average value of 75 and a minimum value of 50. These results show how the ability of students in writing fantasy story text is sufficiently in accordance with the demand for text structure fantasy story.
Power Emergency Prediction Analysis and Emergency Decision Analysis Model

The emergency prediction analysis and emergency decision-making are still largely dependent on the actual experience of relevant personnel involved in emergency response. The judgment of emergencies is greatly influenced by subjective factors, and the lack of relevant data and information for auxiliary analysis and Models and methods of decision making. Conduct correlation analysis of emergency big data, construct predictive analysis models for various emergencies, and establish data link relationships between emergencies and emergency decisionmaking through big data technology to support emergency analysis and decision.
Exploring Phrasal Complexity Features in Graduate Students’ Data Commentaries and Research Articles

The present study aimed at exploring phrasal complexity features in data commentaries produced by graduate students and in research articles written by expert writers. To this end, 25 empirical RAs in the field of Applied Linguistics and 158 data commentaries generated by graduate students of English Language Teaching were comparatively examined. The results revealed that students approximated expert writers in terms of producing two linguistic features (i.e., N+N structures and nominalizations). However, they differed significantly from expert writers in generating four linguistic elements (i.e., attributive adjectives, appositive structures, of-genitives, and PPs as noun post-modifiers). The results also revealed that expert writers’ texts comprise varied presence of exceedingly complex patterns of pre-modification, triple/quadruple/quintuple (pre)modification, a hybrid of novel appositive structures, and multiword hyphenated adjectives. Conversely, graduate students’ language could be characterized by less variety, single/dual (pre)modification, a far less extensive range of noun-participle compounds functioning as nominal pre-modifiers, linguistically limited complex modifications, and minimally multifarious patterns of use associated with N+N formulations. Overall, the findings can give fresh insights into the needs of the L2 student writers in developing an academic text.
ROS : Resource Constrained Oracle Synthesis for Quantum Computers

We present a completely automatic synthesis framework for oracle functions, a central part in many quantum algorithms. The proposed framework for resource-constrained oracle synthesis (ROS) is a LUT-based hierarchical method in which every step is specifically tailored to address hardware resource constraints. ROS embeds a LUT mapper designed to simplify the successive synthesis steps, costing each LUT according to the resources used by its corresponding quantum circuit. In addition, the framework exploits a SAT-based quantum garbage management technique. Those two characteristics give ROS the ability to beat the state-of-the-art hierarchical method both in number of qubits and in number of operations. The efficiency of the framework is demonstrated by synthesizing quantum oracles for Grover's algorithm.
Autonomous collaborative learning in wearable IoT applications

This chapter briefly overviews robust machine-learning solutions for wearable IoT applications. Furthermore, it presents one of the earliest attempts in presenting an autonomous learning framework for wearables. The focus, in particular, is on cases where a new sensor is added to the system and the new (untrained) sensor is worn/used on various body locations. The process of autonomous learning automatically leads to a new collaborative decision-making algorithm. Addressing the problem of expanding pattern-recognition capabilities from a single setting algorithm with a predefined configuration to a dynamic setting where sensors can be added, displaced, and used unobtrusively is challenging. In such cases, successful knowledge transfer is needed to improve the learning performance by avoiding expensive data collection and labeling efforts. In this chapter, a novel and generic approach to transfer learning capabilities of an existing static sensor to a newly added dynamic sensor is described.
COMPETENCE-BASED EDUCATION BY ADVANCED TECHNOLOGIES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 8004-8012ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1891Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
A Study on Genetic Algorithms for Cryptography

In this electronic era institutions and enterprises thinks that there data is very crucial in all their activities.As this based on electronic transmission of data from one place to other, secure mode of transmission is needed.This is to counter security attacks that are evident in transmission.Different security services and mechanisms are needed to provide security and integrity to the resource owners.Security mechanisms that provide security are to be constantly updated to counter attacks.In the process of providing new services and mechanisms, special functions are to be included to strengthen the processing.In this paper different genetic algorithms are discussed that are gaining importance in the field of cryptography that in providing security to data.
Getting Started with GCP

The cloud computing space is evolving. Every day new offerings from cloud vendors like Google, AWS, and Azure are launched. In the last few years, the offerings have become more mature and stable and are seeing rapid adoption in the enterprise world. Developers are moving from on-premises solutions to adopting the service offerings from cloud providers.
MULTIMEDIA DEVELOPMENT TO INTRODUCE ENGLISH VOCABULARY IN KINDERGARTEN

Introducing english vocabularies in early childhood education institution generally has not used the media learning as well, incorrect pronountiation and spelling of the teacher also monotonous method. This research aimed to know multimedia feasiblity of english vocabulary introduction for group B at TK Wahidiyah Kota Kediri, knowing multimedia effectiveness of english vocabulary introduction for group B at TK Wahidiyah Kota Kediri. Field development used one group pretest posttest design. Instruments used in data collection are questionnaire, guidelines and interview guidelines which analized using descriptive technic, statistic descriptive and descriptive inferential. To know the effect of multimedia, analyzed by using the calculation with the help of software (software) that is SPSS 20. Based on result of t-test, known significance obtained by 0,00 which means smaller than the significance used in this research that is 0 , 05, then H0 is rejected and Ha accepted. Based on the results of research can be concluded that the development of multimedia for the introduction of English vocabulary effect on the introduction of English vocabulary in children group B TK Wahidiyah Kota Kediri preliminary
Search-Based Serving Architecture of Embeddings-Based Recommendations.

Over the past 10 years, many recommendation techniques have been based on embedding users and items in latent vector spaces, where the inner product of a (user,item) pair of vectors represents the predicted affinity of the user to the item. A wealth of literature has focused on the various modeling approaches that result in embeddings, and has compared their quality metrics, learning complexity, etc. However, much less attention has been devoted to the issues surrounding productization of an embeddings-based high throughput, low latency recommender system. In particular, how the system might keep up with the changing embeddings as new models are learnt. This paper describes a reference architecture of a high-throughput, large scale recommendation service which leverages a search engine as its runtime core. We describe how the search index and the query builder adapt to changes in the embeddings, which often happen at a different cadence than index builds. We provide solutions for both id-based and feature-based embeddings, as well as for batch indexing and incremental indexing setups. The described system is at the core of a Web content discovery service that serves tens of billions recommendations per day in response to billions of user requests.
INCREASING PUPILS’ PERFORMANCE AT GEOGRAPHY DISCIPLINE THROUGH THE USE OF INTERACTIVE TEACHING AND LEARNING METHODS IN SECONDARY SCHOOLS

INCREASING PUPILS’ PERFORMANCE AT GEOGRAPHY DISCIPLINE THROUGH THE USE OF INTERACTIVE TEACHING AND LEARNING METHODS IN SECONDARY SCHOOLS
Methods of Developing Professional Competence of Future Music Teachers

The article studies an issue of developing professional competence in students of artistic and pedagogical universities. The author has listed the key competencies necessary forfuture music teachers. The article clarifies, that professional competence of a future music teacher is the system of special knowledge, skills, abilities, values and personal qualities mastered by students that meet the requirements of professional training within the framework of artistic and pedagogical higher education and provides competent performance of special activity. The studied phenomenon consists of motivational and value, professional and cognitive, professional and activity, reflexive and creative components.According to the author, the formation of the studied phenomenon is a purposeful continuous step-by-step process of personal progressive transformation and improvement,which complies with the requirements of professional music and pedagogical activity.These methods are based on certain pedagogical principles, including regularity and consistency, accessibility, special expediency, motivation, interpersonal interaction and dialogue communication of subjects of the artistic and educational process. Realization of the purpose of the methods is ensured by certain pedagogical conditions. The first condition involves the development of means for creation of the professionally oriented environment in the artistic and educational process; the second pedagogical conditionshould be aimed at increasing the positive professional motivation of students; the third condition is the inclusion of students in self-organization of special education, self-education and self-improvement; organized external teaching influences, which activate the personal professional and progressive changes of students, is the fourth educationalcondition.The author defines the methods at each stage of formation of professional competence of future music teachers (theoretic and adaptation stage, professional and activity stage, professional and creative stage, professional and research stage). The study suggests using some forms and methods at each stage of forming professional competence. &nbsp
SITE OF THE FEDERAL EDUCATIONAL-METHODICAL ASSOCIATION IN THE SPHERE OF HIGHER EDUCATION AS A NETWORK RESOURCES SCIENTIFICMETHODICAL WORK ON THE FOCUSED GROUP SPECIALTIES “CULTURING AND SOCIO-CULTURAL PROJECTS” (ON THE EXAMPLE OF FEDERAL EDUCATIONAL - METHODICAL ASSOCIATION ON DIRECTION “MUSEUOLOGY AND PROTECTION OF NATURAL MONUMENTS AND CULTURAL HERITAGE”

Д.Д.Родионова, Е.А
Isolation and Identification of Microorganisms Associated with Bioremediation of Oil Spilled Site in Bodo West, Rivers State, Nigeria.

The samples collected from an oil spilled sites in Bodo West in Gokana Local Government of Rivers State in Nigeria were isolated to identify microorganisms associated with bioremediation. The population of about 311 different forming colonies were recorded in the study area; out of which 18 distinctive colonies were identified based on their morphological observation. From the selected isolates, 10 of them were assumed to be degraders because they form maximum clear zones on the mineral salt media. The results of the analysis show that notable number of microorganism of which seven bacteria and seven fungi were isolated and identified. The bacteria are Micrococcus luteus, Streptococcus lactic, Streptococcus epidemidis, Streptococcus faecalis, Clostridium sprogenes, Aerococcus viridems, and Bacillus anthracis. The fungi are Articulosspara inflate, Dendospora erecta, Aspergillus niger, Liodioderium Species, Geotichrum albdum, Aspergillus funigatus and Sreptothric atrax. On the strength of the result, it is inferred that microorganisms are associated with bioremediation and can be used for environmental and petroleum cleanup exercise in an oil spilled site.
BIG DATA IN CLOUD COMPUTING

Big Data and Cloud computing are two of the most significant advancements of the day.Since information is being produced dramatically consistently, Huge Information has acquired a parcel of importance in any innovation.The everyday blast of information implies that it's smarter to have enormous information remembered for the applications.While distributed computing is permitting clients to use stages as indicated by their time, accommodation, and moderateness.It is giving clients the capacity to team up also, work proficiently like never before.Consolidating these two innovations can give without a doubt benefit the clients regarding information and effectiveness.Huge Information, when utilized in distributed computing has applications in various fields such as Money, executives, production network, arranging, information capacity, distribution centers, and more.In this paper, we have examined Enormous Information execution and application in Cloud computing.4 V's in large information can be applied in Cloud computing to get better execution, higher info subtleties, better bits of knowledge, and dependable and secure stages at nearly lower costs.The different investigations, innovation engaged with the coupling of enormous information with distributed computing, the challenges associated with this interaction, patterns of the space, and security factors included are examined in this paper.