Reviewerly/exHarmony huggingface dataset:
Rapid estimation of heavy metals in crude oil contaminated soils by X-ray fluorescence (XRF) spectroscopy

Crude oil exploration and exploitation activities in the Niger Delta, Nigeria have caused the contamination of numerous land sites. A total of 45 sub-surface soil samples were collected from three genuinely crude-oil spill sites and their heavy metal concentrations were measured using X-Ray fluorescence spectroscopy. The range of measured heavy metal concentrations (mg/kg) in the three study sites are as follows: chromium (Cr) 54-75, copper (Cu) 5.4-16.6, iron (Fe) 14841-23404, lead (Pb) 13.5-21.4, manganese (Mn) 158-555, zinc (Zn) 32.6-47.2 in Site 1; Cr (35-66), Cu (5-16.1), Fe (10166-20967), Pb (12-17.8), Mn (209-440), Zn (17.6-33.6) in Site 2; and in Site 3: Cr (32-115), Cu (6.5-20.8), Fe (7538-22800), Pb (12-135), Mn (98-338), Zn (19.9-177). The trend of heavy metals contamination in the three sites are as follows: Fe > Mn > Cr > Zn > Pb > Cu. Their mean concentrations were relatively higher than background concentrations of heavy metals in soils previously reported in same region. Using the contamination factor (CF), the intensity of heavy metal (Mn, Cr, Zn, Pb, and Cu) contamination in soils from the three oil spill sites were evaluated and compared. The index showed Cr > Mn across the three sites, which was highest in site 1 and least in site 2. The trend of CF varies for the other metals. The high values of CF for Mn and Cr show that Mn and Cr have extreme level of contamination while Cu, Pb, and Zn lie within the range of moderate level contamination. Furthermore, statistical analyses shows significant (p < 0.05) correlation between the concentrations of the metals, which indicates the link between the metals. Thus, crude-oil spill may be the common denominator for the heavy metal pollution in the study locations. Based on the contamination indicator parameter, the soils of the studied sites are threatened by contamination of Cr and Mn.
Electronic Tambov Encyclopedia: Functionality and Prospects for Project Development

The article presents the results of the implementation of the project to create an electronic Tambov encyclopedia. Particular attention is paid to the analysis of the capabilities of the Wiki-platform on which the electronic encyclopedia is created.
NLPStatTest: A Toolkit for Comparing NLP System Performance

Statistical significance testing centered on p-values is commonly used to compare NLP system performance, but p-values alone are insufficient because statistical significance differs from practical significance. The latter can be measured by estimating effect size. In this pa-per, we propose a three-stage procedure for comparing NLP system performance and provide a toolkit, NLPStatTest, that automates the process. Users can upload NLP system evaluation scores and the toolkit will analyze these scores, run appropriate significance tests, estimate effect size, and conduct power analysis to estimate Type II error. The toolkit provides a convenient and systematic way to compare NLP system performance that goes beyond statistical significance testing.
Increasing Speaking Ability Using Visual Media

The present study was conducted in order to describe the implementation of visual media in teaching speaking. The researcher used Classroom Action Research design and applied it in teaching of speaking at ten grade of Madrasah Aliyah Kepahiang. The finding of this research indicated that the visual media was successful in increasing students’ speaking ability. In cycle I the score was 68.50 and in cycle II 76.33. Besides, the students have the positive response toward the implementation of visual media. Rapid development of science and technology today has demanded all parties to adjust and follow these developments. Nowadays, the use of media in language learning is very important. It will make the teaching and learning process be more attractive and effective. In learning, media is an aid which is able to help teacher in their teaching activity.
Irony Detection with Deep Learning in Turkish Microblogs

The number of people sharing on social media is constantly increasing. One of the most popular microblogging sites is Twitter, where 500 million tweets are posted every day. Categorizing manually in such large data is a challenging task. Therefore, classification using autonomous systems is of great importance. Irony is a term in which the opposite meaning of something is meant. The verbal or spoken verb, under its serious appearance, aims to speak opposite or to draw the verb to the point of contradiction. Recently, after the successful results of emotion analysis over the tweets, studies on the determination of irony have been made. While it is easier to detect irony in face-toface conversation, it can be difficult even for normal people to understand it in written communication. The character limit on Twitter prevents some people from applying classification methods to spelling mistakes and carelessness in punctuation. For this reason, it has become obligatory to perform preprocessing steps in the first step. After correcting the data, machine learning and deep learning algorithms were applied with different parameters and the success of the results were examined and compared.
LibGuides: Do-It-Yourself LibGuide Enhancements: Sortable Tables

A companion to a presentation given at the 2019 Hawaii Library Association Annual Conference, on how libraries can add features to their LibGuides environment using custom CSS and JavaScript.
Penilaian Diri Perkuliahan Daring Mahasiswa Program Studi Pendidikan Biologi FKIP UMS Selama Pandemi Covid-19 Mata Kuliah Microteaching Tahun Akademik 2019/2020

In connection with the COVID-19 virus in Indonesia, currently it has an impact on the entire community, one of which is students. The government has implemented Large-Scale Social Restrictions (PSBB), learning which is usually done in person or face-to-face at schools and universities is currently done online or in a network (online). The practice of Microteaching at the Muhammadiyah University of Surakarta is currently carried out from home online. The practice itself is done by making a video containing microteaching practice, then uploading it to the Youtube page and the link is forwarded via the WhatsApp group so that it can be assessed by lecturers and peers. The purpose of this study was to determine the self-assessment of online lectures for students of the FKIP UMS Biology Education Study Program during the COVID-19 Pandemic, Microteaching Course, Academic Year 2019/2020. This research is a qualitative descriptive study. The sampling technique used was total sampling technique. The method in this research is a closed questionnaire. The results of this study show that the self-assessment of online lectures for Biology Education Study Program students at UMS during the COVID-19 pandemic, the microteaching course on the indicators of making video microteaching is quite difficulty (54.46%), indicators of media use in online lectures are difficulty (62.09%) and on indicators of activity learning in online microteaching lectures is difficulty (67.24%), so that from the three indicators an average percentage (61.26%) is obtained which is in the difficulty category.
Stereotype: A Sociolinguistic Study on Freedom Writers Movie

This paper is about a sociolinguistics study of stereotypes reflected in Freedom Writers movie. The objectives of this paper is to describe the categories of stereotypes. This paper will be used descriptive qualitative method to describe the phenomenon that was happened in Freedom writers movie. The data is collected from transcript of text and dialogue from the movie. For the data analysis it will classify and interpret based on theories of sociolinguistics study. The sociolinguistics problem of stereotypes that is found from the movie are gender, race and occupation. In the movie race is the highest frequency since the character of the movie come from multicultural communities. Therefore, it is easier to identify the racist problem in the movie since there are data found.
LibGuides: My Library Account: Home

How to access your library account (My Library Account) to see books that you have checked out. This includes UMSL, MERLIN, (green band) and MOBIUS (green band) books. Interlibrary Loan (yellow band) books are not shown here.
JOURNALISTIC EDUCATION IN THE CHUVASH REPUBLIC

The purpose of the study is to analyze the history of the formation and development of training journalistic personnel at the Chuvash State University named after I.N.Ulyanov.The activity of the branch of the Department of Journalism at the Union of Journalists of Chuvashia, the work of students in creative studios under the guidance of leading employees of radio channels and television studios, chief editors of republican printed publications are noted.The work of the small faculty of journalism, created with the aim of organizing vocational guidance work, governing bodies of the faculty of journalism, student scientific society, editorial and publishing center, is investigated, the level of the material and technical base of the faculty is assessed.The structure of the curriculum at various historical stages, the provision of educational literature, access to information databases are considered.It is concluded that the training of journalistic personnel at the Chuvash State University named after I.N.Ulyanov went through three stages: training journalists through specialization ; five-year professional training (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013); a stage of multilevel training for journalists (since 2014).Today, there are all conditions allowing the students to practically realize their creative potential.Along with studying theoretical issues in lecture and practical classes, they learn the basics of practical journalism.Young people are introduced to the conditions and factors of mass media formation and functioning, methods and techniques of typological analysis, principles of organizational and functional structure of the editorial office.Students have an opportunity to prove themselves in a certain kind of journalistic specialization and profession: by official and functional features, by subject and genre orientation, by mass media, by audience orientation of periodicals.The experience of many years of work on training the journalistic staff shows it is in great demand at every stage of historical development.Further improvement of the system of educating creative workers of mass media editorial offices, taking into account market conditions development and new information technologies expansion -this is the major goal of the staff of the Department of Journalism of the I.N.
Pengembangan Sistem Informasi Akuntansi Penjualan untuk Lembaga Pendidikan Studi pada LPIT Al-Furqan Yogyakarta

This study aims to develop a sales accounting information system for educational institutions. Development efforts with case studies at Al-Furqan LPIT Yogyakarta. In contrast to some previous studies that use the subject of a trading company organization, this study uses the organization of educational institutions. Data collection techniques are carried out with methods of observation, interviews and documentation. System development is done by designing and using the SDLC method (System Development Life Cycle). Analysis of sales transactions using PIECES analysis. The results of research on LPIT Al-Furqan show that in addition to the development of sales accounting information systems, it is also necessary to develop Point of Sale (POS) and Payroll purchasing systems. This is intended to make the system more integrated. To overcome the lack of accounting softness for educational institutions, it is generally necessary to develop open source software on the market, so that it can be used by a wider organization of educational institutions
Language Identification—A Supportive Tool for Multilingual ASR in Indian Perspective

In this research paper, we have engineered a multilingual automatic speech recognition engine in Indian perspective by employing language identification technique. Our motherland, India is treated as land of many tongues. Our vision is leading to develop a system that would aid in man–machine communication in Indian spoken languages. We have developed two vital models, namely language identification and speech recognition using array of pattern recognition techniques, viz. k-NN, SVM and HMM. We have tackled both LID and multilingual ASR tasks over three Indian spoken languages, namely Odia, Hindi and Indian English. We have experimented over short as well as long durational isolated spoken words for LID task purpose. Finally, we have integrated LID module with multilingual ASR in order to transcribe the words in desired spoken language.
2014-2018 ACS: Types Of Internet Subscriptions By Selected Characteristics (Based on 2010 Census Tracts)

US Census American Community Survey (2014-2018) data table for: COMPUTER AND INTERNET subject area. Provides information about: TYPES OF INTERNET SUBSCRIPTIONS BY SELECTED CHARACTERISTICS for the universe of: POPULATION IN HOUSEHOLD. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. The data is based on 2010 Census Tracts. Table ACS_S2802_TYPEINTERNETSUBSELCHAR contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error (MOE) is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 154 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided in the Supplemental Information section. This table information is also provided as a customized layer file: S2802_AREA_TYPEINTERNETSUBSELCHAR.lyr where the table information is joined to the 2010 TRACTS_AREA census geography on the GEOID item. Both the table and customized lyr file name do not contain the year descriptor (i.e. 2014-2018) for the current ACS series. This is intentional in order to maintain the same table name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores this year date information as beginning YY and ending YY, i.e., 'E1418' and 'M1418' followed by the rest of the alias description. In this way users of the data tables or lyr files that support field aliases can determine which ACS series is being represented by the current table contents. The next 5-year sample of ACS, representing the current year minus 1, becomes available in December of each year. For example, the next series - 2015 through 2019 - will become available at the end of 2020. The new 2018 data will be posted to the Spatial Data Warehouse by January 2020. The previous series of data is retired to the Historical Data Library geodatabase (according to the ACS series end date) from where it can be accessed if needed.
Case-Based Reasoning Using The Nearest Neighbor Method For Detection Of Equipment Damage To PLN Power Plant

Predictive Maintenance (PdM) at the PLN Power Plant is a periodic monitoring of equipment activities before the equipment is damaged in more severe conditions. According to an expert or PdM owner that maintenance analysis is not appropriate and efficiency has an impact on maintenance costs that are not small. In real conditions, the PdM owner analyzes equipment damage based on previous cases of damage equipment. Then we need a computer-based intelligent system that can help detect damage to equipment.Based on the Literature Review that has been done, Case-Based Reasoning can solve new problems using answers or experiences from old problems such as imitating human abilities. Case-Based Reasoning Process there is the most important step, which is to find the highest similarity value or the level of similarity between new cases and old cases by adapting solutions from old cases that have occurred (Sankar, 2004). In this study the process of similarity or approach using Nearest Neighbor.Testing on the system uses 20 test data and the measurement of system performance uses confusion matrix. Evaluation of testing using confusion matrix can be seen how accurately the system can classify data correctly that is equal to 97.98%. Then the precision value of 95% represents the number of positive categorized data that is correctly divided by the total data classified as positive. Furthermore, the test results of the equipment damage detection test data at the PLN plant with a threshold value of 0.75 using the nearest neighbor, the system has a performance with a 95% sensitivity level.
Sistem Informasi Pemesanan Kamar Hotel

Hotels are public housing facilities that provide lodging services, food and beverage providers and other service facilities intended for tourists and the general public. To facilitate guests in terms of room reservations at Azza hotels, an Information System for room reservations at Azza hotels in particular can be a bridge as a medium for delivering information to these guests. Services that are able to provide hotel information, room types, facilities, services, locations, hotel rates to room reservations become an effective and efficient solution, a person is made easier to access information and make hotel room bookings anytime and anywhere.
Multi-Query Video Retrieval Based on Deep Learning and Pareto Optimality

Existing video retrieval studies support single query. To the best of our knowledge, there is no multi-query video retrieval method. In this study, an efficient and fast multi-query video retrieval method is proposed for queries having different semantics. The metod supports unlimited number of queries. Real valued features representing a video are extracted by a deep network and are converted into binary codes. Database items that simultaneously most closely resemble multiple queries are retrieved by Pareto front method. Efficiency of the method is determined by means of a designed graphical user interface.
Study and Comparative Analysis of Programming Languages Used for Big Data

This article provides information about the industrial revolutions and analyzes the Fourth Industrial Revolution. The Fourth Industrial Revolution takes away the potential risks of unsustainable growth and world systems, and its coming is estimated as a challenge. The main technologies of the Fourth Industrial Revolution are identified. Big data technologies enable to handle different types of data at the same time. Big data is very important among technologies. The difference between big data and usual data is that the volume of Big Data starts at terabytes. The types technologies used for big data are explained. The programming languages used for big data are extensively analyzed. Their similarities and differences are compared. Big data will be among the most required information technologies. The article analyzes the literature in this area and data analysis methods for Big data. There are other criteria that emphasize the need for new methods to work with big data.
Discovering the Effect of Crossword on Grade Ten Students' Vocabulary Learning

The purpose of this study is to find out whether or not there is significant effect of crosswords puzzles on Grade Ten Students’ Vocabulary Learning Outcome. The research method used in this research was quantitative true-experimental, and the design was post-test only control group design, meaning the data collected were only through post-test given to both experimental and control groups after treatments. To collect data for the study, the researcher used instrument in the form of objective, multiple choice , numbering 30 question items for both experimental class and control class that have been tried out in grade ten at experimental class. The scores obtained from the try-out class were used to analyze the validity, reliability, discrimination power and difficulty index of each question item in the instrument. The results of test obtained from samples were used to analyze the data using statistical formulas of Independent, t-test, preceded by normality and homogeneity tests as the pre-requisites to data analysis. The analysis using SPSS-based t-test produced significance (Sig.) score of 0.001, which was smaller than (&lt;) Alpha 0.05, while the score of tobserved /to is higher than the score of t-table 4.10. Since the significance (Sig.) score of 0.001 is smaller than (&lt;) Alpha 0.05, and the score of tobserved /to is higher than (&gt;) the score of t-table 4.10, Ho is rejected and HA is accepted. Accordingly the research concludes that there is significant effect of crossword on grade ten students’ vocabulary learning.&#x0D; &#x0D; The keyword: crossword, vocabulary learning outcome&#x0D;
Analisis Pembelajaran Daring Melalui Grup What’sapp Siswa Kelas IV SD NEGERI 3 Kebonagung Pakisaji Malang

Abstract: Corona virus changes studying systems from offline being online. This condition makes Indonesian student must studying from home. One of ways online studying is using social media, example What’sApp. This research to analyze how effective e-learning by What’sApp group  during corona pandemic and using qualitative descriptive methods. Several methods that used in this research is questionnaire guidelines, interview guidelines, and observations. Result of this research is e-learning studying system is effective for sharing task. If the teacher wants to share some theories, must be explanations given with add some pictures, explanation texts, audio or videos to their students. This research findings that android systems in new for several parents in online studying system (e-learning). Part of them must learn further to use android for studying. And this conditons will support skill and ability students to knowing new technology.
Создание системы соционических обозначений

This article continues the dialogue of the authors about the mathematical apparatus of socionics. It is shown what ideas from the book by G.R. Reynin led to the creation of the new socionics notation as a result of its development in the articles by Yu.P. Minaiev. This system consists of two coordinated subsystems. The first subsystem contains the notation of intertype relation operators, and the second is formed of the designations of 23 socion central dichoto-mies and the so-called identical section. The new socionics notation makes it easy to perform binary operations in the corresponding groups without resorting to the use of bulky tables. Such an improvement in the mathematical apparatus of socionics made it possible to formalize obtain-ing conclusions in the field of this scientific direction.