Reviewerly/exHarmony huggingface dataset:
Peranan Bahasa Inggris Komunikatif dalam Meningkatkan Pelayanan Anggota Kepolisian Sektor Denpasar Selatan

The problem faced by members of South Denpasar Police Sector as community service partners is their very limited ability to communicate in English, such as asking questions and giving explanations when providing services to foreigners. This study aims to determine the role of communicative English in improving services for members of South Denpasar Sector Police. The method used in this study is a lecture, pair work, and conversation methods. This study was conducted at South Denpasar Sector Police Office. The office is located in the tourist area of ​​Sanur, so automatically the area of ​​duty includes Sanur area itself, which is one of the main tourist destinations for domestic and foreign tourists. The results of this study indicated that communicative English training can have an impact on vocabulary mastery, communication skills, and grammar mastery by the trainees.
Mirror Microsoft Ml Network for Recognition and Organization of Objects in Law

In the article the features of construction of neural networks are studied, the main problems of neural networks are considered.To do this, the Android application was implemented and a series of experiments were conducted to identify the main features of neural networks.The following characteristics are assessed: the resources used to collect the project and the time it is debugged, productivity, and consumed resources.According to the results of the research the basic principles of the construction of specialized systems for working with neural networks have been formed.Artificial neural networks are computing systems inspired by the biological neural network sthat make up the animal brain.Such systems learn tasks (progressively improve their performance on them) by looking at examples, generally without special programming for the task.For example, in image recognition, they can learn to identify images that contain cats by analyzing sample images labeled "cat" and "cat", and using the results to identify cats in other images.They do this without any prior knowledge of cats, for example, that they have fur, tails, whiskers and cat-like squeaks.Instead, they develop their own set of relevant characteristics from the training material they process.
The SAVI Learning Model Application Assisted by E-Learning-Based Accounting Puzzle Media to Improve Vocational School Students’ Collaboration Skills

21st Century learning requires a variety of skills that must be mastered by students, one of which is collaboration skills. But the reality shows that the collaboration skills of AKL Class X students in Wikarya Karanganyar Vocational School are only 43,52%, which means that the category is not good. The purpose of this study is to show empirical that the to increase the collaboration skills of students of class X AKL in Wikarya Vocational High School Karanganyar by applying the SAVI (Somatic, Auditory, Visual and Intellectual) learning model are assisted by accounting puzzle based on e-learning. This research is a Classroom Action Research (CAR) carried out in two cycles, with research procedures for each cycle consisting of four stages, namely: (1) planning action, (2) implementation action, (3) observation and interpretation, (4) analysis and reflection. This research subjects was the students of class X AKL 1 SMK Wikarya Karanganyar, amounting to 20 students. Data sources come from teachers and students, who use data collection techniques with observation, interviews, and documentation. The data analysis using critical analysis techniques for qualitative data and comparative descriptive statistical techniques for quantitative data. The results showed with the application of SAVI learning models assisted by Accounting Puzzle based e-learning there was an increase in students' collaboration skills of pre-action, the first cycle, and the second cycle with the. This study sets an indicator of the achievement of collaboration skills of 62,5% or included in good categories. In the pre-research obtained an average percentage of indicators of collaboration skills by 43,52%, included in the bad category. In the first cycle has increased, the average percentage of collaboration skills amounted to 57,72%, included in the category enough. In the second cycle also increased, the average percentage of collaboration skills indicators was 72,85%, included in good categories. Based on this research, SAVI learning model are assisted by accounting puzzle based on e-learning can n increase students’ collaboration skills.
예비 교사를 위한 맞춤형 수업 실습 시스템 개발 연구: 범교과 주제 중심 학습을 중심으로

This study developed a system for the trainee teachers to practice customized classes and analyzed its effects. First of all, based on reviews of previous literature and theories, the basic framework of customized classes for topic-based cross-subject area was set up. The basic framework of the practice consisted of three stages: a learner data analysis stage, a customized learning design according to learner characteristics stage, and a customized learning facilitation stage. The practice tasks were designed for the teaching of across-subject areas. The activities were developed in ways that trainee teacher participants could be trained to analyze, select, and group learners in different ways in various teaching and learning situations. Based on the basic framework of customized classes, practical tasks and activities were devised under the context of the topic-based cross-subject learning, virtual learner data were established, and a web-based practical menu and system were implemented. In order to verify the effectiveness of the system, a customized class practice system focused on the topic-based cross-subject learning was implemented for 70 trainee teachers at teachers' college, and surveys and reflection notes were analyzed. The analysis confirmed the effectiveness of this practice system in terms of decision-making training for the design and execution of customized classes and the usefulness of decision-supporting, which will contribute to the analysis of learner characteristics of trainee teachers and the improvement of customized classes design and execution capabilities.
Leukocyte stability in hemogram samples waiting at room temperature

Objectives: Management of preanalytical, analytical and post-analytic processes is essential to obtain reliable results in clinical biochemistry laboratories.One of the most significant of these processes is ensuring sample stability.In this study, we aimed to evaluate hourly changes of leukocyte parameters at room temperature for 24 hours.Methods: In this study, 30 randomly selected hemogram samples from Kocaeli University Faculty of Medicine Central Laboratory were included.These samples were analyzed on the Beckman Coulter Unicel DXH 800 analyzer (Beckman Coulter, Miami, FL) immediately after being admitted to the laboratory (0. hour) and after waiting for 2, 4, 8, 24 hours in the room (23-25°C), the results were repeated again.In this study, leukocyte, lymphocyte, basophil, neutrophil, monocyte, eosinophil parameters were evaluated using the GraphPad Prism 6 program.The values were expressed as mean±Standard deviation (SD).P<0.05 was used for statistical significance.Results: A statistically significant difference was observed in the levels of leukocyte, lymphocyte, basophil, neutrophil and monocyte parameters.No significant difference was observed in eosinophil levels.The findings showed that the earliest increase occurred in neutrophil and lymphocyte values at the 2 nd hour (p<0.001).An increase in the 4 th -hour measurements was observed in basophil and monocyte levels (p<0.001).Conclusion: Our study showed that leukocyte subparameters, neutrophils and lymphocytes were the earliest affected parameters.Our findings suggest that when the waiting times of hemogram samples exceed two hours, the results will not be reliable concerning leukocyte parameters.
Spatial Modelling of Lead (Pb) Concentration for the Soil in Sokoto Rima Basin, Using Co-Kriging

This study used Geostatistics techniques to find the variability in the concentration of lead (Pb) in Sokoto Rima Basin Region.The concentrations Lead (Pb) were measured and analyzed in one hundred and three (103) different sample points in Sokoto Rima Basin region of Nigeria.The region is characterized as one of the center for agricultural activities in Nigeria.The soil samples were collected from agricultural, industrial and residential areas.The concentrations of heavy Lead (Pb) were measured using Atomic Absorption Spectrometer.The technique of Co-Kriging was used to develop empirical semivariogram model to predict the concentrations of Lead (Pb) in the soil.The result shows that concentrations of Lead (Pb) have exceeded the standard level in the study area.The study revealed that there are extreme concentrations of heavy metals in the central region of the study area.
Transforming Acquisitions and Collection Services: Perspectives on Collaboration Within and Across Libraries. Michelle Flinchbaugh, Chuck Thomas, Rob Tench, Vicki Sipe, Robin Barnard Moskal, Lynda L. Aldana, and Erica A. Owusu, eds. West Lafayette, IN: Purdue University Press, 2019. 442p. $49.99 (ISBN 978-1-55753-845-1).

The Charleston Library Conference is one of the most venerable annual gatherings in librarianship, and one of just a handful whose focus is primarily on issues revolving around collection development. This specific monograph, which is also available electronically in an open access format, is one of at least nine titles that comprise the series Charleston Insights in Library, Archival, and Information Sciences . This volume, as indicated by the title, focuses broadly on change within two areas—Acquisitions and Collection Services—about whose inner workings many public services librarians know little. Not surprisingly, the introduction to the text states explicitly that the primary audience of the text as “library directors, technical services managers, and managers handling acquisitions and collections” (xiii). While it is true that this work relies to some extent upon the reader’s a posteriori knowledge of the world often referred to collectively as Technical Services, and that it is also true that there are variations in quality from chapter to chapter, these case studies offer useful insights to both their intended audience and all those impacted by the critical work done there.
Changing educational trends in the context of global digitalization of society

The fourth industrial revolution affects all spheres of life of modern society and economy. In contrast to previous revolutions, when the structure and organization of universities were relatively intact, the combination of technology with artificial intelligence is being implemented more and more deeply and on a larger scale in many areas of the educational system around the world. The very concept of 'deep learning', which is key to progress in the use of digital resources and artificial intelligence, changes the basic, well-established goals of universities and can create new competition for them. This, in turn, entails an inevitable change in the overall paradigm of teaching, education and self-education, and the implementation of ongoing research, which requires a fundamental re-evaluation and transformation of the entire educational model. Whether universities will cope with this task will become obvious in the near future, but it is already impossible to ignore, that is, simply ignore the opening prospects. Global digitalization can provide a high-quality educational environment to stimulate interest in educational resources, which contributes to the formation of a conscious, urgent need for obtaining high-quality higher education. Interactive and digital technologies support students’ involvement in the learning process and improve the learning process as a whole, making it more intuitive and adaptive. Innovative resources also provide an opportunity for self-development by targeting students for research activities. Such technologies allow many students outside of a University or other educational institution from all over the world to participate in scientific discoveries through web audiences and joint online projects. In addition to improving the quality of education, the latest technologies can make education available to a much larger number of applicants. However, the results of the analysis of potential and already implemented methods using interactive scientific developments allow us to come to the conclusion that we should not forget that high-quality education at the highest professional level requires personal and subjective attention, which cannot be automated. The author's conclusions obtained from the analysis of publications on this issue are the value of the study and can be applied in the implementation of the educational process in the context of global digitalization at many stages of education.
THE SOCIAL ASPECT OF THE USAGE OF PUPILS' SELF-EXPRESSION SKILLS ACQUIRED WITHIN MUSIC EDUCATION

Aim. The aim of the research is to study the usage of primary school pupils’ self-expression skills acquired within music education in various social contexts.&#x0D; Methods. Theoretical research method – the analysis of literature, empirical data acquisition method – questionnaire. Statistical data processing has been carried out in IBM SPSS 23 programme, using the following data processing methods: frequency analysis; Mann-Whitney U test for the comparison of two independent groups; Kruskal-Wallis test for the comparison of three or more independent groups; Kendall rank correlation coefficient for the assessment of associations between two variables.&#x0D; Results. In the development of self-expression skills, an important aspect is the social performance criterion that is based on pupils’ need for self-expression in a social environment of practising music. Age and gender-based correlations in the assessment of a self-expression skill criterion "Social performance" indicate that with age pupils become more independent and engaged in music-related social activities. Girls are socially more active and emotional and engage in artistic activities more often. The research confirms the role of teachers in the development of pupils’ self-expression skills, promoting integration of formal and informal learning process and transformation in formal and informal learning environment.&#x0D; Conclusions. The dynamics and interactions of self-expression skills’ development factors (social, emotional and intellectual) defines pupils’ individual self-expression skills and development tendencies. Self-expression is important for pupils in social aspect, as it is related to socialisation in microenvironment (family) and macroenvironment (friends) and affects cooperation and communication.
Fault Tolerance Analysis of Cloud Virtual Nodes in Real Time Applications

Cloud Computing provides the reliable services to clients through data centers which contains servers, storage etc.The major constraint of the systems used in real time applications is that, they are prone to failure.The failure may be due to the following reasons: a) Failure to complete the task in prescribed time threshold value.b) Failure to achieve prescribed reliability value.To ensure reliability and availability of cloud technologies, methods to enhance fault tolerance needs to be developed and deployed.In the proposed work, Reliability Assessment Framework (RAF) has been developed to tolerate the faults of real time applications running on cloud infrastructure.The proposed RAF calculated the reliability of virtual nodes using adaptive fault tolerant method.Backward recovery technique has also been implemented to make the system fault tolerant and the calculated reliability value of virtual nodes help in replacing the failure nodes making the cloud platform more reliable and also enhanced the performance of cloud nodes.. Various parameters like Acceptance Computation, Minimum Reliability, Reliability Factor and System Reliability Level have been taken into consideration while implementing the framework.
EFFICIENT DATA INTEGRITY AND AUDITING IN CLOUD BY USING BLOCK CHAIN

The main aim of this paper is to discuss the usage of cloud storage services, enabling individuals to store their information in the cloud and keep away from the local data storage and maintenance expense.Numerous data integrity auditing systems have been implemented to guarantee the quality of the data stored in the cloud.An individual would like to enroll his private key to create the authenticators for understanding the auditing of data integrity in certain, but not all of the current system.The user must then have a hardware token (e.g.USB token, smart card) for storing the private key and memorizing a password to trigger the private key.Most of the new data integrity auditing system will be unable to operate if the user misplaced this hardware token or forgot this password.We are proposing a new module called data integrity auditing without private key storage to solve this issue, and developing such a scheme using block chain technology.In this project we are proposing a computerized signature along with face reorganization with block chain operation, so that there will be no unique design to obtain unauthorized and furthermore to prevent hacking operation and all the respective user data or information will be stored in cloud with maximum security.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JENIS IKAN BERDASARKAN KUALITAS AIR UNTUK PENINGKATAN PRODUKSI AKUAKULTUR SECARA INTENSIF MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Indonesia is an archipelagic country with an area of 5.8 million km2 or equivalentto 2/3 in Indonesia, The territorial waters of Indonesia have been recognized as the Nation's Insight by the United Nations Convention on the Law of the Sea (UNCLOS) in1982, but with the vast waters of Indonesia, do not make Indonesia free from imported fish from various countries. In appropriate aquaculture production can result in financial losses, energy, time, and others. So knowledge of intensive aquaculture production is needed. Knowledge of aquaculture production that can be obtained by fish farmers and related parties requires a short time in obtaining it. Therefore the purpose of this research is to design a decision support system that has been computerized which can determine the type of fish that can be produced intensively based on water quality in the area used.
PEMODELAN JUB DAN BI RATE TERHADAP INFLASI DAN KURS RUPIAH MENGGUNAKAN REGRESI SEMIPARAMETRIK BIRESPON BERDASARKAN ESTIMATOR PENALIZED SPLINE

Some indicators of the Indonesian economy are inflation and the exchange rate of rupiah against US dollar. Inflation and the rupiah exchange rate are thought to be influenced by the money supply (JUB) and the BI Rate. The money supply has a nonparametric relationship pattern to inflation and the rupiah exchange rate, while the BI Rate has a parametric relationship pattern to inflation and the rupiah exchange rate. The right method for detecting the relationship between inflation and the exchange rate with JUB and BI Rate is birespon semiparametric regression with a splined penalized estimator. The semiparametric regression coefficient of birespon spline penalized is estimated using the Weighted Least square (WLS) method which is determined based on the degree of polynomials, the number and location of the optimal knot points, and the optimal lambda determined based on the minimum of Generalized Cross Validation (GCV). This research uses the R Program. Based on the results of the analysis, the best spline penalized birespon semiparametric regression model is located in the number of knots is 5 at the knot points of 5257,783; 6649,469; 8976,871; 11099,19 and 13535,51 found in the first degree of response is 1 and the second degree of response is 2 with an optimal lambda of 99,99. The results of the performance evaluation of the model produce value of is 99,9007%, meaning that the model's performance is very good for out samples of the data and the MAPE value of 2.89169% is less than 10% which means the model's performance is very good.
Teachers' Strategies in Teaching Speaking Skills at SMAN 1 Palopo

The study aimed to know the strategies used by teachers at S.M.A. Negeri 1 Palopo to teach speaking skills. This thesis employed Qualitative Method. The writer applied the purposive sampling technique to obtain the samples of the study. In getting data, the writer examined two English teachers in S.M.A. Negeri 1 Palopo. The writer also used observation-checklist, semi-structured interviews, and reports to get the data. The result of this study showed that teacher 1 used discussion, role-play, brainstorming, writing, conversation, blogging, picture description, and learning assignment. While teacher 2 used conversation, modeling, role-play, brainstorming, writing, questioning, reading, explaining, and playing ice hockey. Both teachers use various strategies in teaching speaking.
Sistem Pendukung Keputusan dalam Identifikasi Motif Songket Silungkang Menggunakan Metode AHP

Songket Silungkang is a traditional weaving product made with special tools and is the creation of weavers from the Silungkang area. Songket has various types of motifs that are currently popular in Indonesia. So that it becomes a consideration for songket enthusiasts to get information about the songket motif. In this case, a proper analysis is needed to speed up the identification process in determining the Silungkang songket motif. Therefore we need a model that can describe all computerized systems that support the decision-making process. The decision support system using the Analytical Hierarchy Process method assesses each motive with the criteria and changes in the weight value. The criteria used in identifying Silungkang songket motifs are the type of material, the shape of the motif and the color of the motif. This study produces a matrix of yield weight, with the highest value of 90.0%. So that from the final results of the calculation, it can be identified that the most popular songket Silungkang motif at the INJ Songket Store is the pucuak rabuang motif. This is useful for facilitating decision making related to the identification of Silungkang songket motive in the future.
Study the Impact of use of ICT on Organization Performance in Omani SMEs

Traditionally SMEs have resource constraints in the form of information, finance and reach in the market, ICT is vital to promote strategy, performance, and growth. Moreover, Oman boasts of very high mobile phone penetration and highly connected youth, the impact of ICT in the performance of SMEs becomes all the more pronounced. This paper focuses to study the impact of the use of ICT on the organization performance in small and medium enterprises in Oman. In a knowledge-based economy, SMEs face both opportunities and challenges due to the development of ICTs. Within the country, SMEs are of huge economic and social importance and play an important role in mobilizing domestic financial resources and competencies, as well as increasing savings and channeling them into investment areas. Here comes the role of technology, where the development and innovation in ICT increase the productivity of the individual and benefit from the knowledge, science, and technology. The significance of the findings of this study is valuable to all the stakeholders – owners/managers, sponsors, entrepreneurs, financial institutions and government. The outcome of the study point towards the direction needed to make informed decisions and formulate policies about ICT investments in the country.