Reviewerly/exHarmony huggingface dataset:
ON THE GOLD MINERALIZATION IN WEATHERING CRUSTS OF THE RYBACHY SITE (WESTERN SIKHOTE-ALIN)

The author addresses an issue of gold presence in pre-Quaternary crusts of weathering that are widespread in sub-mountain areas of the doming-block geomorphological structures of the Amur Region, the Khabarovsk and Primorsky Territories along the periphery of large- and medium-sized Cenozoic basins and depressions. For a more detailed mining and geological study and assessment of the gold content of the weathering crusts, we recommended the Rybachy site as one of these objects (insufficiently studied), and the entire Mukhenskaya area as a promising one. These sites are located in the zone of articulation of the eastern side of the Middle Amur Depression with the folded structures of the West Sikhote-Alinsky volcanic belt. The author gives examples of large gold deposits, related to weathering crusts with their brief description (Olympiada, Kuranakh), as well as a brief description of alluvial deposits of weathering crust (sub-basalt cl.Paskhalny, an eluvial-alluvial placer of the Bolotisty Stream). The search work of the DVIMS (Far Eastern Institute of Mineral Raw Materials) in 2002 indicated the potential of weathering crusts within the Rybachy prospect for gold mineralization. This is supported by elevated gold in heavy mineral concentrates from the linear weathering crusts and residual blankets, as well as from non-commercial placers (from 0.01 to 4.0 g/t and higher); the occurrence of fracture zones, brecciation, secondary silicification close by fractures, and abundant Late Cretaceous silicic and intermediate dikes. Zones of hydrothermally altered rocks (silicification, chloritization, sericitization, argillization) are widespread here.
Staff motivators in organised retail sector

Purpose of Research: The present paper studies the effectiveness of the factors in motivating the employees working in the retail industry. It also analyses the perception of the employees about the effectiveness of the factors influencing staff motivation and the difficulties faced by them in their workplace and their opinions on being better off. This study is very crucial in present day context as competition in retailing is getting steeper. Particularly after the economic slowdown in a highly volatile economic environment, retailers must analyse the factors affecting their employee motivation. Methodology: In this study, the researchers have tended to highlight the positivist philosophical approach. The research has been carried through the survey done on the staffs of operations and sales team of some top organised retailers in Kolkata by a standardised questionnaire, blended with open ended and close ended questions. It also delves into the effect of demographics and psychology of the staffs and their perception about the factors influences their motivation level in the workplace, by using various statistical tools like Chi-Square Test, Cronbach’s Alpha and Factor Analysis in the study. Findings: Reward and Recognition structure and Cash Benefit structures are the most influential factors in motivating the staffs to work in retail sector, closely followed by Career growth opportunities. Again, the Incentive structure influences the staff motivation to perform better in sales. Practical Implications and Conclusions: The components give an unadulterated and fulfilling experience to the staffs which makes them feel good about their work and also make them feel hopeful in order to make betterment in their career. These leads to positively influencing the motivation level of the staffs in the retail industry. This leads to better performance from the staffs in both quality and quantity. This also reduces employee turnover. This helps in maintaining a healthy environment work balance with a healthy relationship between the staffs and the management, in the retail sector. This in turn helps the retail sector to grow and prosper.
The Revitalization of Patung Sigale-Gale Batak Toba Folklore into Teaching Material in English Subject for Junior High School

This study deals with information of Batak Toba folklore Patung Sigale-Gale into learning materials at Junior High School. The objective of this study is to develop complete story of Patung Sigale-Gale Batak Toba folklore into teaching materials in English Subject for Junior High School. This study used descriptive qualitative approach in analyzing the data. The data of this research are interview and observation in Samosir Island, North Sumatera, source of data were an informant who knew about the history of Patung Sigale-Gale. The result of this study, there were able to write complete story about Patung Sigale-Gale that can be used as teaching materials in the classroom, especially in English Subject.
Source side pre-ordering using recurrent neural networks for English-Myanmar machine translation

Word reordering has remained one of the challenging problems for machine translation when translating between language pairs with different word orders e.g. English and Myanmar. Without reordering between these languages, a source sentence may be translated directly with similar word order and translation can not be meaningful. Myanmar is a subject-objectverb (SOV) language and an effective reordering is essential for translation. In this paper, we applied a pre-ordering approach using recurrent neural networks to pre-order words of the source Myanmar sentence into target English’s word order. This neural pre-ordering model is automatically derived from parallel word-aligned data with syntactic and lexical features based on dependency parse trees of the source sentences. This can generate arbitrary permutations that may be non-local on the sentence and can be combined into English-Myanmar machine translation. We exploited the model to reorder English sentences into Myanmar-like word order as a preprocessing stage for machine translation, obtaining improvements quality comparable to baseline rule-based pre-ordering approach on asian language treebank (ALT) corpus.
Webpage Classification for Detecting Phishing Attack

Despite numerous research efforts, phishing attacks remain prevalent and highly effective in luring unsuspecting users to reveal sensitive information, including account credentials and social security numbers. In this paper, we propose the use of three machine algorithm to help in the detection of phishing attacks. Machine learning algorithm has been popular over the years for implementing and solving different problems. Different features were observed and approximately 112 features were used from the 88,648 datasets, gotten from the Vrbancic UC Machine Learning Repository database. Through the use of the algorithms, high accuracy was gotten especially after the application of PCA feature selection.
Pengembangan Media Pembelajaran Interaktif Dasar Listrik dan Elektronika menggunakan Aplikasi Lectora Inspire

This study discusses the development of learning media using Lectora Inspire for study Basic of Electrics and Electronics in SMK Negeri 1 Padang. The purpose of this research is to develop interactive learning media for study Basic of Electrics and Electronics at X grade of SMK Negeri 1 Padang. The type of research used is Research and Development. The subject of this research is interactive learning media using the Lectora Inspire for subject study DLE (Basic of Electrics and Electronics). Student of X grade TJTL class in SMK Negeri 1 Padang and one teacher of DLE study as respondents. The development model used in this research is a 4-D development model, that has four steps are Define, Design, Develop and Disseminate. The result of media validation has an average score by all of the validator team is 0.82. The practicality test of interactive learning media by the teacher had a result is 89.58% in the practical category and the practicality test result from 18 students is 82.37% were included in the practical category. And the interactive learning media can be used for Basic Electrics and Electronics Study.
The Role of the Quizizz Application in Making Online Quiz in Japanese Courses for Students of Hospitality Program

Blended Learning is an easy learning method that combines a variety of ways of presenting, teaching models, and learning styles, introducing various choices of media dialogue between the facilitator and the people who are taught.In learning Japanese in Tourism department, State Polytechnic of Bali, the blended learning method has not prominent to apply.The use of technology in teaching and learning process are supervise on power points presentation, and online technology is not fully maximizing to apply.The Quizizz application in making online quiz for students is used as a tool to measure student learning outcomes in learning Japanese.The use of the Quizizz application in the Japanese language teaching and learning process, especially in the implementation of quiz, aims to make a less interactive atmosphere more enjoyable and this can have an effect on improving student quiz results.The method used is a quantitative and qualitative descriptive approach.This study looks for the percentage level of student questionnaire results before and after using the Quizizz application when they taking the quiz.The results showed that there was an increase in learning outcomes after the use of the Quizizz application in Japanese language learning, especially during quiz, which made many positive things for both lecturers and students, such: it would facilitate Lecturers particularly their time management; a fun learning atmosphere for students; and, the most important thing, it would influence the improvement of students learning.
Penilaian E-Servqual Terhadap Fasilitas E-Learning dengan Menggunakan Analisa Faktor

The Covid-19 pandemic that has occurred to date has made learning activities that are usually carried out face-to-face, switch to networks by utilizing e-learning media. The transfer of learning activities to e-learning media has advantages and disadvantages so that it needs to be evaluated. This evaluation is carried out to see to what extent the service quality of e-learning media is used in learning activities. One way to assess service quality is using the e-service quality method. The purpose of this study was to determine the quality of e-learning services. The service quality assessment factors used in this study are tangibility, reliability, responsiveness, assurance, and empathy. The research method used in this research is quantitative method and the data collection period starts from August 2020 to February 2021. 174 students was participated in this study, with the largest proportion being semester 7 students. The instrument used has good validity with a KMO value of more than 0, 5 and is reliable with a Cronbach's alpha value of more than 0.6. The final results of the study can be concluded that five factors measuring the quality of electronic services can be used to measure the quality of electronic learning services and the most influential factor is the assurance factor.
The Impact of Employee Engagement on Organization’s Productivity on United Methods on Relief Services

Employee engagement has arisen as a widespread organizational perception in current years. It is the level of strength of mental and emotional connection employees feel toward their workplaces and its values and beliefs. When employees are engaged and aware of the business framework and work as a team to improve performance within the job for the advantage of the organization. Employee engagement resourcefulness has a straight effect on the organization's level of production. Every company/ organization requires their workers to be engaged in their respective work. Employee engagement is linked to customer satisfaction which is connected to an organization's financial success. Engagement arises when adequate individuals give attention to performing good work and care concerned about what the company is thriving to attain and in what way it is an accomplishment. This helpful mentality and behavior only arise once people get satisfied with their jobs they do and are convinced that the organization supports them, with an effective HR manager. This paper covers a literature review from several study findings and practices employed by the use of an expressive research method. It schemes the effect of worker’s engagement on the productivity of the organization. It also showcased the factors affecting the worker’s assignation and organizational results.
A Robust Multi-Keyword Text Content Retrieval by Utilizing Hash Indexing

Digital content on servers increase the storage and fetching issues.So, researcher works in this field to organize content for fast retrieval with data security.This paper has worked on text digital content retrieval available in form of documents, files.User can search a desired file by test query and relevant list of files get appeared.Keywords were fetched from the text content by removing noisy data during pre-processing.Pre-processed keywords are identified by the number known as term ID.As per the term-ID each text content got a Hash Index which was termed as key numbers in document index.Each term or word has its own identification number known as term Id , so privacy of comparing content terms and user query maintain by hash based searching.As document identification done by hash index key, so storage of text content was done in encrypted numbers once document select for reading then decryption of document applied for a particular user.Experiment was done on real and artificial text content dataset files on different topics.It was obtained that proposed model of Hash indexing and tem based retrieval has improved the privacy with relevancy of as per query.
On the Simultaneous Openness Hypothesis: FDI, Trade and TFP Dynamics in Sub-Saharan Africa

This study assesses the simultaneous openness hypothesis that trade modulates foreign direct investment (FDI) to induce positive net effects on total factor productivity (TFP) dynamics. Twenty-five countries in Sub-Saharan Africa and data for the period 1980 to 2014 are used. The empirical evidence is based on the Generalised Method of Moments. First, trade imports modulate FDI to overwhelmingly induce positive net effects on TFP, real TFP growth, welfare TFP and real welfare TFP. Second, with exceptions on TFP and welfare TFP where net effects are both positive and negative, trade exports modulate FDI to overwhelmingly induce positive net effects on real TFP growth and welfare real TFP. In summary, the tested hypothesis is valid for the most part. Policy implications are discussed.
Working with Arrays

Enough about general considerations for arrays and pointers—it is time we see how we use both in practice. I will start by showing a few examples of how we can solve some selected problems using both arrays and pointers and illustrate how closely related the two things are. Quite often, the code you write to operate on an array is the same as the code you write to operate on pointers, even when you do not use pointers plus offsets (which is, after all, exactly what we do when we use the array syntax). In an attempt to make it at least appear that we are working with two different types of objects, I will use different conventions for the functions in this section. Functions with array arguments will have the type rettype function(int n, type array[n])
The structural components of professional mobility of the future music art teacher

Науковий часопис НПУ імені М. П. Драгоманова Ilnytska L. V. Development of aesthetic-educational principles of artistic and pedagogical activity on the example personal contribution of Andriy ChebykinOutstanding achievements of Ukrainian art allow to bring to scientific discussion the substantive issues of innovative educational training of specialists not only in the field of art, but also related to the artistic activity of future figures of creative industries.Finally, the professional principles of focusing on the little-studied aspects of art education help to understand the boundless horizons of a number of related issues to methodological work in this area.However, the problem field of aesthetic education and artistic and pedagogical activities is close to a single-rooted search for methodological principles.It is this dual integrity in the harmonious combination of the original conceptual narratives and tries to reveal for the first time the author's scientific and theoretical development.That is, the development of "aesthetic and educational principles of artistic and pedagogical activity" reproduces the specifics of the unique domestic educational and theoretical potential of the artistic level of the profile goal-setting of the highest spiritual purpose.Such an applied principle of outstanding exemplary for students of different generations is the personal contribution of the recognized not only in his native land, but also abroad People's Artist of Ukraine, academician, winner of the Shevchenko Prize -Andriy Chebykin.Andrei Chebykin's outstanding creative contribution to art has a unique history of formation.Thanks to the artistic and pedagogical achievements of a whole constellation of unsurpassed Ukrainian masters such as Petro Zharov, Ivan Selivanov, Ilea Chichkan and George Yakutovych, in particular in this study, a holistic and comprehensive analysis of traditional views on teaching professional art disciplines in the academic art environment.
Determining Bullying Text Classification Using Naive Bayes Classification on Social Media

Cyber-bullying includes repeated acts with the aim of scaring, angering, or embarrassing those who are targeted Cyber-bullying is happening along with the rapid development of technology and social media in society. The media and users need to filter out bully comments because they can indirectly affect the mental psychology that reads them especially directly aimed at that person. By utilizing information mining, the system is expected to be able to classify information circulating in the community. One of the classification techniques that can be applied to text-based classification is Naïve Bayes. The algorithm is good at performing the classification process. In this research, the precision of the algorithm's has been carried out on 1000 comment datasets. The data is grouped manually first into the labels "bully" and "not bully" then the data is divided into training data and test data. To test the system's ability, the classified data is analyzed using the confusion matrix method. The results showed that the Naïve Bayes Algorithm got the level of precision at 87%. and the level of area under the curve (AUC) at 88%. In terms of speed of completing the system, the Naïve Bayes Algorithm has a very good rate of speed with completion time of 0.033 seconds.
Precautionary Procedures in Basrah Oil Fields Drilling Operations Using Smartphones

Basrah oil fields carry multiple drilling problems that are drilled with difficulty, theseproblems are often treated incompetently. This inefficiency in the procedures in handling theproblems often results in a long wait around time. This study aims to offer the bestprecautionary procedures that can be taken in the form of a smartphone’s application(Precautions Enhancer) to reach trustworthy precautions anywhere needed on the oil field.&#x0D; The introduction of smartphones to the drilling engineering in particular and the petroleumindustry in general is a critical and a very useful tool that could be developed to gain accuracyand speed on field.The plans of precautions for the expected drilling problems are carried out. The includedformations extend from the upper and lower Faris to Mishrif. The precautions that are set as thebest practice are based on field experience and standardized IWCF methods. The usedprogramming techniques are: the classify algorithm (forward) technique is used to enhancePrecautions Enhancer’s (PE) abilities to avoid the problems.An application called Precautions Enhancer (PE) having a friendly user interface that can be usedin the field is built with a full secure database of the fields’ problems and precautions with adatabase of the drilling problems in Basra oil fields in PE; all of the drilling problems that couldencountered while drilling with their precautionary procedures are all mounted in the database ofPE.
ANALYSIS ON STUDENTS' MISTAKES IN WRITING RECOUNT TEXT (A CASE STUDY ON EIGHTH-GRADE STUDENTS OF MTS AL-AMIN NGETOS, NGANJUK)

This study was conducted to analyze the students’ mistake in writing recount text. The subject of this research was the eighth-grade students of Mts Al-Amin Ngetos, Nganjuk which was consisted of 38 students. The researcher needs to analyze the students’ mistakes in writing recount text because writing is one of the four crucial skills to master English. In learning English at school students also learn how to write a text and organize their idea into a proper text. In getting the data, the researcher applied class evaluation research using purposive sampling technique which the sample was taken from 5 students’ recount text of the eight grade students of MTs Al-Amin Ngetos, Nganjuk. The researcher analyzed the students’ recount text based on the writing aspect which should be considered by the students in writing a recount text they were content, organization, grammar, vocabulary, and mechanics. The results showed that there were some mistakes made by the students, mostly their mistakes were inappropriate used of grammar and mechanics. So, the researcher provided suggestions for the teacher to help the students to know the writing aspects and learn how to apply them in writing text.
Authenticating Passwords by Typing Pattern Biometrics

Passwords are a common measure used in Authentication systems to make sure that the users are who they say they are. The complexity of these Passwords is relied on while ensuring security. However, the role of complexity is limited. Users are forced to write down complex passwords since easy ones are easily guessed. This study aimed at evaluating the uniqueness of typing patterns of password holders so as to strengthen the authentication process beyond matching the string of characters. Using our own dataset, this research experimentally showed that k Nearest Neighbor algorithm using Euclidean distance as the metric, produces sufﬁcient results to distinguish samples and detect whether they are from the same authentic user or from an impostor based on a threshold that was computed. Results obtained indicated that typing patterns are distinct even on simple guessable passwords and that typing pattern biometrics strengthens the authentication process. This research extends work in typing pattern analysis using k Nearest Neighbor machine learning approach to auto detect the password pattern of the authentic and non-authentic users. It also provides an investigation and assessment to the effect of using different k values of the KNN algorithm. Further to this field is the methodology for calculating an optimal threshold value with higher accuracy levels that acted as a basis for rejection or acceptance of a typing sample. Additionally is an introduction of a new feature metric of a combined dataset which is a concatenation of both the dwell and latency timings. A comparison of performance for independent and a combined dataset of the feature metrics was also evaluated.
A Study on the 5th Generation of Cellular Technology (5G) Era in Internet of Things

The fate of human existence will be subjected to Internet of Things and 5G, which will change the gadgets into insightful machines. Across the world, the concept Internet of Things is quickly developing and expanding the interconnectedness among gadgets and individuals through the methods for the web. As the IoT environment developing on a normal of 6-7 gadgets for every individual by year 2022, the 5G organizations are required to monstrous growth of present IoT that helps the organization difficulties and driving the Internet future to the edge. This paper audits the momentum research cutting edge of IoT, 5G-IoT, security challenges towards 5G, key enabling technologies for IoT, 5G solutions for IoT and burgeoning Benefits of 5G-IoT