Reviewerly/exHarmony huggingface dataset:
Vandalizing Review Mechanisms: Theory, Practice, and Applications

The term Market Vandalism Attack refers to large scale review manipulation, not for the benefit or detriment of individual sellers, but in order to damage the market itself. In this paper we present a theoretical framework for such attacks that allows us to provide reasonable estimates on the outcomes of vandalism attacks in the presence of countermeasures from the market operator, even when complete review-level data are not available. Based on our theoretical foundation, we estimate the cost of such attacks in four different markets (airline, beer, movies, and cocaine) assuming that in each case the best known generic review manipulation countermeasures are employed. We find that in all cases, an attacker who can afford to post between 10\% and 40\% as many reviews by injected (fake) profiles as there are by legitimate market participants can equalize all review scores, making it very difficult for the market to operate. We discuss an application of market vandalism in the context of Dark Net Markets (DNMs) and consider the potential for vandalism attacks to be used in conjunction with other methods in the policing of these markets by Law Enforcement Agencies (LEAs).
Analisis Pengaruh Media Pembelajaran Film Dokumenter Terhadap Motivasi Belajar Siswa

The purpose of this study was to analyze the effect of documentary film learning media on student learning motivation. This study used an experimental method with one group design with a total sampling of 19 students. Data collection techniques using questionnaires, documentation and observation. The data analysis technique of this research is using statistical analysis. The results of this study indicate x2hitung 6.477&gt; x2tabel 3.841 with a significant level of 5% and dk (fh-1) = 2-1 = 1, it is obtained that Ho is rejected and Ha is accepted, so it can be concluded that there is an influence of documentary film learning media on learning motivation of class VIII students. SMP Negeri 2 Sakra Barat.
Web Mining: Knowledge Discovery in Data Base

Data mining is a process of discovering patterns in large data setsinvolving methods at the intersection of machine learning,statistics, and database systems. Data mining is aninterdisciplinary subfield of computer science and statistics withan overall goal to extract information (with intelligent methods)from a data set and transform the information into acomprehensible structure for further use. Data mining is theanalysis step of the knowledge discovery in databases process,or KDD. Aside from the raw analysis step, it also involvesdatabase and data management aspects, data pre-processing,model and inference considerations, interestingness metrics,complexity considerations, post-processing of discoveredstructures, visualization, and online updating.
The Ore and Gangue Mineralogy of the Newly Discovered Federation Massive Sulfide Deposit, Central New South Wales, Australia

The newly discovered Federation deposit, with a resource estimate of 2.6 Mt @ 7.7% Pb, 13.5% Zn, 0.8 g/t Au, and 9 g/t Ag, lies 10 km south of the Hera deposit within the Cobar Basin of the Lachlan Orogen. Located just north of the Erimeran Granite contact and between the Lower Amphitheatre Group and underlying shallow marine Mouramba Group Roset Sandstone, the host siltstones and sandstones have been brecciated, intensely silicified, and chloritized close to mineralization. Oriented in an overall east-northeast strike and with a steep south-southeast dip, the siltstones mainly comprise quartz, clinochlore, biotite, and muscovite. Federation also has highly fragmented zones with breccia and vein-fill of calcite. The main ore mineralization includes sphalerite and galena, with lesser chalcopyrite, pyrrhotite, pyrite, gold, and very rare meneghinite. Mineralization occurs within silicified veins and breccias of Zn-Pb sulfides, which generally grade to moderate veining of sulfides with Pb and Cu dominant sulfides, as well as minor veining of base metals associated with visible gold. Mineralization throughout the deposit is fairly simple, with a low diversity of minerals. Iron concentration varies throughout the deposit, decreasing towards the center. Observations of massive sphalerite with gradations of red to honeycomb yellow indicate the transition from high Fe (7–10%) to low Fe (2–5%) within the coarse sulfide assemblages over a very short distance. Within the main mineralized corridor, fibrous amphibole inclusions within galena/sphalerite assemblages are observed at 251 m, as well as epidote associated with sulfides at 573 m. Other ore-associated gangue minerals include ilmenite, siderite, scheelite, magnetite, apatite, and rutile.
User Satisfaction Analysis of Online Public Access Catalog Using End User Computing Satisfaction Method

Libraries are organizations with the activities of collecting, processing, disseminating, preserving, and presenting information that in which the Online Public Access Catalog (OPAC) have been widely adopted. However, the analysis of OPAC satisfaction is still rare. This study discusses the analysis of user satisfaction of OPAC. This study aims to determine the effect of content dimensions, accuracy, format, ease of use, and timeliness using the End User Computing Satisfaction (EUCS) method, a method for measuring the level of user satisfaction of a system. SPSS software was used to analyze user satisfaction. Sig. value of the content variable is greater than 0.1 (0.667), hence the hypothesis zero (H0) is accepted. It means that the content variable has no effect on user satisfaction. Sig. value for the accuracy variable is less than 0.1 (0.009), hence the H0 is rejected. Therefore, the accuracy variable has an effect on user satisfaction. Sig. value of the format variable is less than 0.1 (0.054), hence H0 was rejected, implying that the format variable has an effect on user satisfaction. Sig. value of the ease of use variable is greater than 0.1 (0.700), hence H0 is accepted, meaning that the ease of use variable has no effect on user satisfaction. Sig. value of the timeliness variable was 0.120 (&gt; 0.1), hence H0 is accepted. Therefore, the timeliness variable has no effect on user satisfaction.
探討觀看影片對大學生聽力理解之影響：學習風格、動機與聽力理解力之相關研究

Listening is an important ability in second language (L2) acquisition, and over the past few decades there have been many changes and innovations in L2 listening instruction to improve teaching of listening skills. Utilizing audiovisual as well as audio material to train learners’ listening ability has now become common practice in the English learning classroom, and teachers also are increasingly using supplementary audiovisual tools inclusive of advance organizers and video with captions in order to facilitate learners’ listening comprehension. At the same time, student learning styles and motivation are recognized for continuing to be important in L2 learning. Nonetheless, the extensive literature on L2 listening comprehension reflects that comparatively little research has been conducted on the relationship between listening comprehension and students’ learning styles and motivation. Thus, the major purpose of this study is to investigate the effects of using audio material, audio video material without captions, and audio video material with captions when teaching listening comprehension as well as to investigate the relationship between that use of material and student learning styles and motivation.The research involved six pedagogical instruments: listening materials (audio, video without captions, and video with captions); a GEPT listening test; three different questionnaires; and interviews. Three experimental groups of 119 freshmen students participated in the study. Three different listening approaches were implemented based on audio-only (AO), video-only (VO), and video with captions (VC) material. For each experimental group, one of the three listening approaches was utilized. Both quantitative and qualitative data were analyzed in order to examine the effectiveness of each of the three listening approaches and to examine the relationship between each listening approach and students’ different learning styles and levels of motivation. The results of the study showed that both the AO and VC groups performed well on the final listening test while the VO group showed regression on the post listening test. These results, which are the basis for the conclusion of this study, may be of importance for investigating the different benefits of using audio material, audiovisual material without captions, and audiovisual material with captions in teaching listening skills to L2 learners. As well, these results may be of importance in providing English teachers with a better understanding of the effectiveness of utilizing the chosen listening approaches and the relationship between learning comprehension and students’ different learning styles and levels of motivation.
ASSESSMENT OF THE QUALITY OF LIFE OF WORKERS BEFORE AND DURING THE COVID-19 PANDEMIC THROUGH THE SF-36 QUESTIONNAIRE

Quality of life consists of the individual's perception of his position in life, in the context of the culture and the value system in which he lives, including his goals, expectations, standards and interests Aim: To assess the quality of life of workers using the SF-36 Instrument, before and during the COVID-19 pandemic, to identify which dimensions of these relationships were influenced Method: The chosen subjects were the workers of a company from Vale do Paraiba Paulista The questionnaire was applied during the work period by a single evaluator First, the selection of possible moment and days for the application of SF36 was carried out, which took place at the companys outpatient clinic, with only volunteer employees Rapport (motivation, clarification about the research, no obligation to participate and confidentiality) was established, with subsequent statistical treatment of the data Results: The Company has 136 employees, 26 women and 110 men Of these, 92% responded to the SF-36 questionnaire on two occasions, the first at the beginning of the year 2020 and the other during the pandemic period COVID-19 (from April 2020) Conclusion: The condition of the pandemic presented great interference in the processes of interpretation of the quality of life of the employees evaluated Future research is proposed after the pandemic to assess the breadth of the results observed here
RESEARCH ON INNOVATION OF BLOCKCHAIN TECHNOLOGY IN TOURISM SERVICE INDUSTRY

Tourism service industry has its particularity, that is, it is dominated by one-time consumption, multiple interest subjects and a large number of intermediaries coexist. Therefore, integrity, transparency and regulation are the pain points of the industry. The BlockChain technology has the possibility to solve the pain points of these industries and innovate the whole tourism service industry. Based on the advantages of BlockChain technology, this paper systematically analyzes the potential of BlockChain technology in tourism integrity, management mechanism, intelligent services, information security, tourism sharing economy and tokens to promote cross-border travel.
HC Libraries: Do-It-Yourself Hobbies, Crafts, and More: Library Resources

Need to make home improvements, start a new hobby or repair an engine? Try these library resources available to you for free.
An investigation on gender bias in neural machine translation.

As a case study, this paper presents an investigation on gender bias in neural machine translation with Naver Papago and Google Translate. In spite of the remarkable progress in machine translation system, there are remaining challenging tasks, especially the gender bias in machine translation and processing itself. This kind of phenomenon threatens the fairness of a translation system and runs the risk of amplifying biases in machine translation. Under the circumstances, this study examines gender bias in neural machine translation system with Google Translate and Naver Papago. As for the gender bias evaluation in two machine translation, this paper makes English-Korean and Korean-English language sets using a lexicon set of adjectives. Also, this study purposes to compare Naver Papago and Google Translate. Upon the qualitative examination, the findings revealed that Naver Papago and Google Translate are significantly prone to gender-biased translation and biased results against women are much more frequent. Also, Naver Papagoseems to be more abusive against women. On the other hand, Google Translate seems to be more balanced than Naver Papago, using gender-neutral vocabulary and structure. Moreover, Naver papago and Google Translate exhibit a tendency toward male defaults typically associated with unbalanced gender distribution or stereotypes.
ResearchGuides: How to Search: eBooks

Instructions for searching for different types of documents in the library databases Find eBooks on your topic
STRATEGY FOR FORMING FAMILY VALUES IN THE THIRD MILLENNIUM UNDER THE CONDITIONS OF LIFELONG EDUCATION

The article substantiates the essence of the formation of family values among students in the third millennium in the context of lifelong education. The idea of the relationship of the family as a type of social and value unity of people and the importance of the purposeful formation of family values that underlie the socialization of the individual is carried out. It is argued that moral education in the context of building a continuous educational process is aimed at the formation of family values among students. Family values are considered as multifaceted, significant, timeless, comprehensible, aimed at forming, preserving and strengthening a modern family. A model of the students’ family values is determined, including approaches, principles and pedagogical conditions of moral education.
The Effect of Collaborative Paragraph Writing Technique Toward Students’ Writing Skill on Recount Paragraph At Grade X of Sman 1 Batang Anai

This article observes the effect of collaborative paragraph writing technique toward students’ writing skill on recount paragraph. The research was an experimental research. The instruments of the research were writing test. It was conducted for 4 weeks (8 meetings) to the grade X students of SMAN 1 Batang Anai. Class X1 which consisted of 33 students was an experimental group, whereas class X2 which also consisted of 33 students was a control group. The instrument of the research was writing test. The writing test was given as a post test to both classes at the end of the research. The data of the research were analyzed by using t-test. The result shows that collaborative paragraph writing technique gave significant effect toward students’ writing skill on recount paragraph as it was compared to conventional technique that was usually used by the teacher in teaching writing. Based on the result, it is suggested to English teachers at SMA level to apply this collaborative paragraph writing technique as an alternative technique in teaching writing in English.
Mobile Application For SJK (C) Pei Hua

Mobile application for Library SJK (C) Pei Hua is an Android based application that is developed to provide a platform for easy accessed of information by students through mobile application. The notification is not in the current system and user will tend to forget the deadline of returning book if they lost the receipt and does not know the exact date of returning book. At the end result of the project, librarians in SJK (C) Pei Hua, which is act as the administrator of this mobile application are able to manage the application in the administration site. Users are able to search books and may explore more information about the news and upcoming events that will held on SJK (C) Pei Hua. The system will show the reminder notification about the due date of returning books. Users are able to send messages or feedback to the administrator through the Contact Us form in this application.
Eliciting explicit knowledge from domain experts in direct intrinsic evaluation of word embeddings for specialized domains

We evaluate the use of direct intrinsic word embedding evaluation tasks for specialized language. Our case study is philosophical text: human expert judgements on the relatedness of philosophical terms are elicited using a synonym detection task and a coherence task. Uniquely for our task, experts must rely on explicit knowledge and cannot use their linguistic intuition, which may differ from that of the philosopher. We find that inter-rater agreement rates are similar to those of more conventional semantic annotation tasks, suggesting that these tasks can be used to evaluate word embeddings of text types for which implicit knowledge may not suffice.
PREPARATION OF FUTURE TEACHERS OF MATHEMATICS FOR DIAGNOSIS OF EDUCATIONAL RESULTS AS A MEANS OF FORMATION OF THEIR METHODOLOGICAL COMPETENCE

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Structural Model of Smart Integration of Green Open Space and Slaughterhouses

The value of Green Open Space is often overlooked or underestimated by policymakers, leaders and developers including animal slaughterhouse industry developers.One of the biggest environmental concerns associated with slaughterhouses is wastewater, water contamination, and air pollution.Therefore, integration is needed between the construction of slaughterhouses and the provision of green open space.The study's objective was to come up with a structural model for the smart integration of green open space and slaughterhouses.The analysis of Interpretative Structural Modeling and Principal Component Analysis (PCA) methodologies were employed in this work (ISM).The PCA approach was used to identify the significant elements and sub-factors in the knowledge of Information Technology Governance of Green Open Spaces Integration and Slaughterhouses.Interview was conducted with three knowledgeable specialists in the fields of IT Governance, Green Open Spaces, and Slaughterhouses were conducted to gather data.The best data appropriateness acquired from these experts is then considered, and ISM is used to process it.The following are the findings of the analysis: (a) the key goal is pollution absorption by Green Open Spaces; (b) the program's key needs are Information and Communication Technology; Infrastructure-internet-Human Resources; (c) the program's key constraints are funding and control; (d) the government is the key institution; and (e) the program's key action plan is to use digital technology.
A Pragma-Semantic Study of Former President Mugabe’s Speech at the 26th Summit of the OAU at Addis-Ababa (Ethiopia, 30/01/2016)

The issue addressed in this article is twofold; first of all, it seeks to show how pragmatics and semantics are two inseparable fields, for both of them are related to meaning. Nevertheless, needless to say, meaning in pragmatics seems to be more meaningful since it relates to real situations. In addition, the work depicts the language used in political spheres where the former Organization of the African Union (OAU) Chairperson Robert Mugabe displays anger since he is asked to give up the leadership of Zimbabwe, his cake. The speech is a real cacophony: use of non-sentences, banter principle, ellipses and so on; which reveal Mugabe’s uneasiness and of course he is not ready to yield in. To reach the goal assigned to this study, the Critical Discourse Analysis (CDA) was used. In addition to the CDA, Speech Act Theory (SAT) was of great deal to depict Mugabe’s sense of irony and lack of politeness. However, Mugabe, the outgoing Chairperson of the OAU, succeeded to call for reforms at the United Nations (UN). Despite his hypocritical attitude, the Africans, i.e. “us” as opposed to “them”, i.e. the Westerners; are shown by the addresser (Mugabe) to be under domination of Europe. Besides, through laments, he clearly demonstrated that the latter are dictators and have no lesson about democracy to give to the former.
Implementasi Metode Waterfall dalam Sistem Informasi Knowledge Management untuk Digital Marketing

The development of digital technology directs organizations to be able to cultivate knowledge as an asset that can help its business activities. Knowledge management is considered necessary to be implemented in organizations involving many stakeholders. The implementation of annual management needs to be implemented by involving the utilization. This research was conducted to implement knowledge management in organizations that involve many knowledge assets in the business process, especially related to digital marketing activities. The purpose of this research is to identify organizational knowledge and produce knowledge sharing media systems. This research uses waterfall method in the development of its system so that the result of this research is a knowledge management information system that facilitates knowledge sharing activities that have been identified and can facilitate users in finding data, information and knowledge that is useful in fostering innovations related to digital marketing in the organization.
Parental perceptions of genomic sequencing for expanded newborn screening

Pairwise learning naturally arises from machine learning tasks such as AUC maximization, ranking, and metric learning. In this paper we propose a new pairwise learning algorithm based on the additive noise regression model, which adopts the pairwise Huber loss and applies effectively even to the situation where the noise only satisfies a weak moment condition. Owing to the robustness of Huber loss function, this new method is resistant to heavy-tailed errors or outliers in the response variable. We establish a comparison theorem to characterize the gap between the excess generalization error and the prediction error. We derive the error bounds and convergence rates under appropriate conditions. It is worth mentioning that all the results are established under the (1+ϵ)-th moment condition of the noise variable. It is rather weak particularly in the case of ϵ<1, which means the noise variable does not even admit a finite variance.
Deteksi Buah Menggunakan Supervised Learning dan Ekstraksi Fitur untuk Pemeriksa Harga

The role of technology in the business world is growing over time. The development of technology, making machines step by step is able to replace the work done by humans. The industrial revolution is a clear example of such technologial development and its use in our daily life. in the fourth industrial revolution that we face today, IOT technology provides the ability of the five senses and think like humans to machines. Over time, human work will be replaced by such technology which provides efficiency like never before. One technology that can provide efficiency is computer vision. In retail context, computer vision can help humans to recognize fruits in supermarkets so that it will help customers do self-service, without having to ask the clerk in the fresh section of the supermarket so that supermarkets can be more efficient and customers can be served better and faster. Computer Vision and machine learning can help retail companies provide self service price checkers for fruit products in supermarkets.
Metoo as sextortion : Approaching testimonies from metoo through a corruption lens

In Sweden, approx. 50 metoo hashtags were circulated and published during 2017 and 2018.Experiences of sexual harassment were shared and made visible to an extent hitherto unimagined.The metoo hash ...