Reviewerly/exHarmony huggingface dataset:
Application of Monte Carlo simulation to quantify uncertainties of first weighting interval estimation

This paper aims to assess and predict first weighting interval in block 3 of Parvadeh IV, Tabas, Iran by using empirical and analytical models incorporating Monte Carlo Simulation. For this purpose, a database was established in a probabilistic manner to use with the Rock Quality Index (RQI) and the Central Institute of Mining and Fuel Research Index (CMRI) and analytical model. Due to similarities of the geo-mining environment with other mines in the Parvadeh district, data was collected from other mines and combined with those of block 3. Results of Monte Carlo Simulations showed that the first weighting interval varies from 15 to 20 m with a 50%f probability. In addition, findings indicated that the probability of the first weighting interval being between 16 and 22 m is 90%.
A Norm Emergence Framework for Normative MAS - Position Paper.

Norm emergence is typically studied in the context of multiagent systems (MAS) where norms are implicit, and participating agents use simplistic decision-making mechanisms. These implicit norms are usually unconsciously shared and adopted through agent interaction. A norm is deemed to have emerged when a threshold or predetermined percentage of agents follow the Conversely, in normative MAS, norms are typically explicit and agents deliberately share norms through communication or are informed about norms by an authority, following which an agent decides whether to adopt the norm or not. The decision to adopt a norm by the agent can happen immediately after recognition or when an applicable situation arises. In this paper, we make the case that, similarly, a norm has emerged in a normative MAS when a percentage of agents adopt the norm. Furthermore, we posit that agents themselves can and should be involved in norm synthesis, and hence influence the norms governing the MAS, in line with Ostrom's eight principles. Consequently, we put forward a framework for the emergence of norms within a normative MAS, that allows participating agents to propose/request changes to the normative system, while special-purpose synthesizer agents formulate new norms or revisions in response to these requests. Synthesizers must collectively agree that the new norm or norm revision should proceed, and then finally be approved by an Oracle. The normative system is then modified to incorporate the norm.
Musical art as a particularly effective means of introducing the younger generation to universal and national spiritual values

The article is devoted to the problem of raising children and youth, in which music is considered as a special area of ​​musical art. The purpose of this article is to define the concept of children's the reasons for its occurrence and its place in the artistic and creative development of the child's personality. The article especially emphasizes the importance of music, its best examples, which are distinguished by artistic clarity, simplicity of form, laconicism, technical accessibility and accessibility for perception
LibGuides: Text-mining and Analysis in Digital Scholarship Research: Selected Text Mining Projects

This page lists some examples of data visualizations projects done by different institutions.
Domain Divergences: A Survey and Empirical Analysis

Domain divergence plays a significant role in estimating the performance of a model in new domains. While there is a significant literature on divergence measures, researchers find it hard to choose an appropriate divergence for a given NLP application. We address this shortcoming by both surveying the literature and through an empirical study. We develop a taxonomy of divergence measures consisting of three classes — Information-theoretic, Geometric, and Higher-order measures and identify the relationships between them. Further, to understand the common use-cases of these measures, we recognise three novel applications – 1) Data Selection, 2) Learning Representation, and 3) Decisions in the Wild – and use it to organise our literature. From this, we identify that Information-theoretic measures are prevalent for 1) and 3), and Higher-order measures are more common for 2). To further help researchers choose appropriate measures to predict drop in performance – an important aspect of Decisions in the Wild, we perform correlation analysis spanning 130 domain adaptation scenarios, 3 varied NLP tasks and 12 divergence measures identified from our survey. To calculate these divergences, we consider the current contextual word representations (CWR) and contrast with the older distributed representations. We find that traditional measures over word distributions still serve as strong baselines, while higher-order measures with CWR are effective.
Odyssey Self Reflection - Batik / Faculty of Art and Design UiTM Cawangan Sarawak

REQASENI XV is an event that is meant to showcase the artworks and designs made by the students from the Faculty of Art and Design. The groups that are showcasing their artworks are from Graphic Design and Fine Art. The work of Graphic Design students are more towards rebranding, redesigning existing designs, and also creating new designs for companies, businesses, and events by utilising the use of technology. As for Fine Art students, the artworks are more on contemporary arts and studying the media dimensions as the main consideration in producing artwork.
Analysis of Brain Activity for the Communication in Locked in People

Presently, due to the after effect of the inventions, various techniques are a used for control of home appliances. Particularly, they are particularly designed for the aged people and also for patients. In some cases advanced systems are built for the physically disabled people. The main problem in all current systems is that they are not suitable for all kinds of people and under all conditions. Each system needs a unique design and device, which increases the cost of constructing them and reduction in stability. The main aim of our project is to make a a simple system, which can be used by all types of people in every situation for controlling devices around them. Brain waves can be used to solve this problem. Here, the brain wave has an important role in controlling devices in the home condition and enable communication among people suffering from pseudo coma. The brain waves are detected by use of Neurosky Mindwave sensor and data is transferred using Bluetooth to the CA system. The CA system is made up of an Arduino and its programmed to control all the devices connected. The main advantage of the project is that it can be used by all types of people.
A analysis study on the concepts and backgrounds of character education in England

Background: In 2015 Character Education Act was introduced into formal education system in South Korea, By the Act, the government produced a National Plans for Character Education per five years. However, there are still confusions about the meaning and concept of character education, and the lack of clear guidelines for the education practices, Purpose: With these reasons, this study aimed to analyse the background and the contents of character education in England, Secondly, this study aimed to find out the practices of character education in schools and thirdly, tried to draw the implications into character education in Korean education context. Methodology/Approach: The method used in this study was contents analysis. In order to be critical and objective analysis for the character eduction, this study had tried to find the official documents. Findings/Conclusions: This research found that the background of character education was originated from the religious education, in particular, Christian Education with faith and virtues. This kind of character education was traditional until 1940s in the States. However, between 1940s and 1990s, character education has been reformed under the name of moral education or virtue education due to the close of religious education in the national curriculum. Even though the character education had been changed in to another education, there were still critical issues around the approaches of eduction. There have been two approached of character education, one was value-neutral and the other was value-focused approach. Especially, value-focused moral and virtue education had tried instill the values to students with christian related faiths and ethos. After the 1990s, this education movement had been changed again as character education which influenced the character education in England now. This reserch found that value-focused character education is very controversial and critical for students. Implications: As a result, this study suggests three implications for the development of character education in the South Korean context. Firstly, character education should not try to instill certain values for young people. Secondly, we need to be very careful about the character tests for young people recently. Finally, character education should more focus on social development rather than individual development in combination with citizenship education.
하자소송 판례분석을 통한 지식산업센터 빌딩의 하자예방 및 품질개선

The apartment-type factories have become integrated as the industrial structure has advanced and reorganized with the convergence of high-tech knowledge, manufacturing and service industries. Construction defects that may occur in apartment-type factories need to be watched closely because they can have the combined characteristics of all the types of defects that may occur in apartments, efficency apartments, shopping malls, office buildings and factory facilities. Through this study, we analyzed four rulings on defect lawsuit cases related to the Apartment-type factories. According to the analysis, the amount of compensation determined for defects prior to approval of use accounted for 77.5% of the total compensation. This is 3.4 times more than the amount of compensation determined for defects that occurred after approval of use. We analyzed the defects that occurred prior to the approval of use and classified them into eight categories. In addition, the survey related to each defect was conducted to suggest the flow of quality improvement activities and major actions in stages. In addition, we also suggest quality improvement measures to prevent construction defects that occur before approval of use by referring to opinions of experts in related fields.
End-to-End Sketch-3D Model Retrieval with Spatiotemporal Information Joint Embedding

The existing sketch-based 3D model retrieval methods often regard data as static input, and utilize convolutional neural network to extract features, which ignore the dynamic attributes of input data, resulting in partial loss of useful information and not ideal retrieval effect.In order to solve this problem, a spatiotemporal information joint embedding-based end-to-end sketch-3D model retrieval method is proposed.Firstly, the sketch is represented as a dynamic drawing sequence, which reflects the temporal information contained in the drawing process; meanwhile, the 3D model is represented as a multi-view sequence to reflect the position relationship between views.Secondly, an end-to-end dual-stream network including static spatial feature extraction and dynamic time series feature extraction is constructed.Combined with triplet central metric learning, a joint spatiotemporal feature embedding of cross domain data is established to fully capture the static and dynamic features contained in sketches and 3D models, and reduce the difference between cross domain.Finally, experiments are carried out on the standard public data sets SHREC2013 and SHREC2014.Compared with the ex-
ARCHITECTURAL PATTERNS AND FUNCTIONAL PROGRAMMING CONCEPTS SUGGESTED TO HANDLE ISSUES IN WEB SERVICES FOR BIG DATA

In today's world, there is a huge increase in the demand for web services and a corresponding need for ultramodern infrastructure and technology to implement them. Part of this demand stems from the explosion of users and their transactions across various devices and social networks connecting them. In this paper, we take a look at the role and importance of web services and their implementations across social networks and processes and examine some of the concerns and issues that arise when they are subjected to present-day and near-future usage scenarios and the suggestions and recommend architectural patterns to address them.
The Effects of Flipped Learning Academic Attitude on the Academic Achivement and Continuos Participation of College Students Majoring in Beauty

This study aimed to investigate the influence of flipped learning on academic achievements and continuous participation among students majoring in cosmetology. In addition, it attempted to examine if a mixed teaching method (online approach + offline approach) has a positive effect on students in preparation for the post-COVID-19 era. For this, a questionnaire survey was performed among students majoring in cosmetology who previously experienced flipped learning. A total of 603 responses were used for the final analysis, and the results found the following: According to demographic analysis, ‘women’, ‘20s’ and ‘college student’ were the highest in terms of gender, age, and educational background, respectively. Concerning the influence of flipped learning on academic achievements, ‘learning motivation’, ‘learning attitude’, and ‘confidence’ had a statistically significant effect on ‘learners.’ The above results confirm that flipped learning is already valuable as a teaching approach and can enhance academic achievement and continuous participation. Also, it is anticipated with new learning methods such as video, it would be more advantageous than conventional offline learning in enhancing the students’ attention and interest.
Do Blockchain Technologies Make Us Safer? Do Cryptocurrencies Necessarily Make Us Less Safe?

This essay is based on a presentation made on January 24, 2020 at the invitation of the Texas Journal of International Law and the Strauss Center for National Security at the University of Texas. That presentation focused on the two questions mentioned in the title of this essay – Do Blockchain Technologies Make Us Safer? And Do Cryptocurrencies Necessarily Make Us Less Safe? The essay presents answers to the two questions: “yes” and “probably yes.” This essay begins with some level-setting on different types of blockchain technologies and of cryptocurrencies, and gives some background materials on global and national responses to certain cryptocurrencies, such as El Petro sponsored by Venezuela’s PDVSA and Facebook’s Libra.
A New Semantic Web Search Based on PEGC for Automatic Personalized Information Retrieval with Ontology

By gathering the domain relevant documents through the concentrated crawler, based on domain ontology and throughcomparable semantic substancethat is coordinated with a provided client's question, semantic data search separates the data from the web archives. Deciding the semantically comparable terms in reports and query terms with the help of WordNet is considered as the main goal of semantic retrieval. In looking through web page, few clients have their own view which isn't centered before. To conquer this issue, Parallel Ensemble Graph Clustering Based Semantic and Personalized Information Retrieval (PEGCBSPIR) are proposed. Multi-Objective Cuckoo Search Algorithm (MOCSA) is proposed to upgrade information retrieval in web mining applications, for recognizing the similar users and the dataset tests are grouped utilizing Parallel Ensemble graph based clustering (PEGC). This clustering algorithm groups the comparative clients and their features according to the client’s choice. Discriminant investigation helps to minimize the features dimension. Ranking is done to discover moist preference based consequences of the individual clients and their users, once the data us clustered. This preference assiststhe web page architects to recover pages according to their interest. In this work, the new personalize semantic web search framework discovers anappropriate connection between the keywords examining the user’s personal interest.Throughontology, the similarity of these relations can be determined on each page to decide their importance concerning the user query. Therefore, the framework will satisfy the precondition of personalized intelligent information search for diagnosis of diseases, and further enhances thebiomedical disease’s reviews and precisionsof information retrieval system.
PENGGUNAAN PEMBELAJARAN KOMPUTER AKUNTANSI MYOB PADA MATA PELAJARAN AKUNTANSI KELAS XI AKUNTANSI

AbstractThe use of the Myob accounting computer in terms of suitability and effectiveness for the conditions of student learning in class. This research aims to find out describe the using of myob accounting in accounting subjects for class XI islamic junior high school dwi sakti. This research is a study using a qualitative descriptive approach. The population in this study was a class XI student majoring in accounting at SMK Islam Dwi Sakti Bangilan in the academic year 2019/2020 with a total of 28 students. Data collection using methods of observation, interviews, documentation and tests. Based on the results of student learning research by using computer accounting, it is considered capable of providing more optimal learning to improve learning outcomes and add special expertise to vocational students as a provision to enter the workforce. But in reality the student learning outcomes are better to use a manual system than using the Myob accounting computer, this is due to several reasons for the difficulties experienced by students such as the language used in the myob application using English, lack of mastering the basic accounting to inadequate facilities. But that is not the reason students are lazy to study Myob accounting, they are enthusiastic in learning and studying accounting computers until the final stage.Keywords: myob accounting computer, usage, difficulties, learning outcomes.
Activity Recognition using Accelerometer Sensor and Machine Learning Classifiers

Development affirmation is considered as a huge endeavor in various applications, particularly in clinical consideration organizations. Among these applications consolidate clinical decisive, seeing of customers' consistently timetable and ID of unusual cases. Here we present an approach for the development affirmation using an accelerometer sensor embedded in a mobile phone. This strategy uses a transparently available accelerometer dataset as the unrefined information signal. The features of the sign are picked subject to the time and repeat space. By then, Principal Component Analysis (PCA) is used to diminish the dimensionality of the features and concentrate the primary ones that can describe human activities. An assessment collaboration is performed between the primary unrefined data and PCA-based features and moreover, time and repeat region features are similarly contemplated using a couple of AI classifiers. The got results show that the PCA-based features get higher affirmation rate while repeat region features have higher exactness, with the speed of 96.11% and 92.10% independently.
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

We introduce a deep learning model to learn the set of enumerated job skills associated with a job description. In our analysis of a large-scale government job portal mycareersfuture.sg, we observe that as much as 65% of job descriptions miss describing a significant number of relevant skills. Our model addresses this task from the perspective of an extreme multi-label classification (XMLC) problem, where descriptions are the evidence for the binary relevance of thousands of individual skills. Building upon the current state-of-the-art language modeling approaches such as BERT, we show our XMLC method improves on an existing baseline solution by over 9% and 7% absolute improvements in terms of recall and normalized discounted cumulative gain. We further show that our approach effectively addresses the missing skills problem, and helps in recovering relevant skills that were missed out in the job postings by taking into account the structured semantic representation of skills and their co-occurrences through a Correlation Aware Bootstrapping process. We further show that our approach, to ensure the BERT-XMLC model accounts for structured semantic representation of skills and their co-occurrences through a Correlation Aware Bootstrapping process, effectively addresses the missing skills problem, and helps in recovering relevant skills that were missed out in the job postings. To facilitate future research and replication of our work, we have made the dataset and the implementation of our model publicly available.
Requirements Variability Specification for Data Intensive Software

Nowadays, the use of feature modeling technique, in software requirements specification, increased the variation support in Data Intensive Software Product Lines (DISPLs) requirements modeling. It is considered the easiest and the most efficient way to express commonalities and variability among different products requirements. Several recent works, in DISPLs requirements, handled data variability by different models which are far from real world concepts. This,leaded to difficulties in analyzing, designing, implementing, and maintaining this variability. However, this work proposes a software requirements specification methodology based on concepts more close to the nature and which are inspired from genetics. This bio-inspiration has carried out important results in DISPLs requirements variability specification with feature modeling, which were not approached by the conventional approaches.The feature model was enriched with features and relations, facilitating the requirements variation management, not yet considered in the current relevant works.The use of genetics-based methodology seems to be promising in data intensive software requirements variability specification.
PERANCANGAN SISTEM INFORMASI PERSEDIAAN STOK BARANG PADA GUDANG PT BANK NEGARA INDONESIA PERSERO (TBK)

PT Bank Negara Indonesia is one of the oldest banks in the history of the republic of Indonesia which is a state-owned bank. This BNI bank was established on July 5, 1946 and currently BNI already has 1,076 offices throughout Indonesia and several branch offices that are established overseas. Banking has a goal, namely to assist in the development and improvement of economic growth in improving the welfare of the people, which is the oldest in the Act of 1998 Number 10. Based on this purpose, banking in Indonesia must fulfill obligations and fulfill functionalities based on the principles of the people's economy. From this objective, banks in Indonesia must carry out their duties and functions properly and based on economic democracy. The problem that often occurs is if there are too many requests for goods from various outlets, resulting in a large number of request papers being stored and will be reported to the superior as a transaction for the release of goods in the warehouse which results in loss of information and data, thus affecting the final report With the Inventory Inventory Information System Application, the admin can control the entry and exit of goods easily, quickly and efficiently.