Reviewerly/exHarmony huggingface dataset:
Análisis de (grandes) datos semánticos

For many years, companies have exploited the data registered in their everyday operations by their transactional systems to obtain useful information and assist in decision-making. To this end, different data analysis techniques and business intelligence strategies have been applied. In recent years, the increase in the volume of data, along with variety in data and the velocity at which data is being produced, has led to the conception of novel processing mechanisms capable of dealing with such huge amount of data, namely, Big Data. The main difficulties associated with Big Data management are linked to its collection and storage, search, sharing, analysis and visualization. The formal underpinnings of Semantic Web technologies enable the automated processing of data through sophisticated inference and reasoning techniques. Semantic technologies have been successfully applied in a number of scenarios for the integration of heterogeneous data, data analysis at the knowledge level, and visualization of Linked Data. In the last few years, a large number of published research papers have explored the benefits in using semantic technologies in data analysis and Big Data. In this paper, we provide a systematic review of the literature in this research area, highlighting the main benefits obtained by the integration of semantic technologies in data analysis and the most challenging aspects that remain to be addressed.
Where Classic Meets Modern: Trends from Academic Business Library Directors' Year in Review Reports, 2019-2020

A summary of Year in Review reports of members of the Academic Business Library Directors (ABLD) is presented.Themes include new and ongoing initiatives in libraries, library collections, organizational change in libraries and member business schools and changes in library spaces.
Implementasi Algoritma Merkle-Hellman Knapsack dalam Penyandian Record Database

A lot of data is misused without the data owner being aware of it. Software developers must ensure the security user data on their system. Due to the size of the market that houses data, the security of record databases must be of great concern. Cryptographic systems or data encryption can be used for data security. The Merkle-Hellman Knapsack algorithm is included in public-key cryptography because it uses different keys for the encryption and decryption processes. This algorithm belongs to the NP-complete algorithm which cannot be solved in polynomial order time. This algorithm has stages of key generation, encryption, and decryption. The results of this study secure database records from theft by storing records in the form of ciphertext/password. Ciphertext generated by algorithmic encryption has a larger size than plaintext.
LibGuides: E-Book & Digital Study Aid Access: EBSCOhost Casebooks

William M. Rains Library offers access to multiple e-book platforms for study aids, treatises, and other titles for our students, staff and faculty to utilize.
4차 산업혁명의 IT기술에 대한 의료기관 종사자의 인식과 성과기대가 IT기술도입 및 사용의도에 미치는 영향

Purpose: The purpose of this study is to determine the influence of hospital employees'' perceptions and performance expectations on IT technologies introduction and intention to use in the Fourth Industrial Revolution.Methodology: A survey was conducted on 524 employees at 42 hospitals. Pearson''s correlation analysis, regression analysis, Sobel test, and structural equation were used for the analysis.Findings: The factors of technical situation (complexity, compatibility, technical readiness, and security concerns), those of environmental situation (competitive pressure and regulatory support), and organizational situation (top management support and costs) have influenced on the recognition of employees in the hospital and the performance expectations. IT technology introduction and use intention have been influenced by technical situation, organizational situation, and environmental situation in order. But security concerns and cost factors have not statistically affected. In addition, due to the perception and performance expectations of hospital employee who have a role in mediating the introduction and use intention of IT technology, the greater the perception and performance expectations of hospital employees, the higher the intention of introduction and usage of IT technology.Practical Implications: Rather than considering the position of external customers and the position of competitive hospitals, more attention is required for the perception and performance expectations of the internal members.
Role of Modern Educational Technologies in the Education System

This article examines modern educational technologies and their role in the educational process. Priority technologies applicable to the Russian language classes are highlighted. The use of modern pedagogical technologies is one of the most promising directions for the development of education, contributing to greater individualization of the educational process and the formation of personality.
An Improved Teaching-Learning-Based Optimization Algorithm for Parameter Optimization Problems

By simulating the study process in the classroom effectively, a new Improved Teaching-Learning-based Optimization (ITLBO) is proposed to solve multi-parameter optimization. Seeking to improve the converge speed and search quality, two new modifications including the adaptive teaching step size and the self-taught phase are incorporated into the original TLBO algorithm. Firstly, teacher presents nearly the same contents to every student in the teacher phase. Therefore an adaptive teaching step size is adopted to dynamically change the learning step size in accordance with the aptitude of every student, which can speed up the convergence. Secondly, through their interaction with teacher and other students, every students can actively adjust their own knowledge after class. Therefore a new self-taught phase are designed to simulate the knowledge improvement process of students’ autonomous learning, which can enrich the population diversity of learners. Experiments were tested with 8 standard functions. All results indicated that the precision and convergence of ITLBO is enhanced compared to other variant TLBO methods.
SketchHealer A Graph-to-Sequence Network for Recreating Partial Human Sketches

To perceive and create a whole from parts is a prime trait of the human visual system.In this paper, we teach machines to perform a similar task by recreating a vectorisedhuman sketch from its incomplete parts. This is fundamentally different to prior work onimage completion (i) sketches exhibit a severe lack of visual cue and are of a sequentialnature, and more importantly (ii) we ask for an agent that does not just fill in a missingpart, but to recreate a novel sketch that closely resembles the partial input from scratch.Central to our contribution is a graph model that encodes both the visual and structuralfeatures over multiple categories. A novel sketch graph construction module is proposedthat leverages the sequential nature of sketches to associate key parts centred aroundstroke junctions. The intuition is then that message passing within the said graph willnaturally provide the healing power when it comes to missing parts (nodes). Finally, anoff-the-shelf LSTM-based decoder is employed to decode sketches in a vectorised fashion.Both qualitative and quantitative results show that the proposed model significantlyoutperforms state-of-the-art alternatives.
SISTEM INFORMASI GAJI KARYAWAN MENGGUNAKAN FRAMEWOK CODEIGNITER

CV. Davina23 is a company engaged in the provision of goods and services. Where in the company there are problems that will be faced, namely the addition of new employees, the process of calculating employee salaries, data collection and recording of attendance are still done semi-computer, using Microsoft Excel. Given the weaknesses in recruiting new employees, absences, calculating salaries and preparing reports, a study was conducted to design a payroll information system in overcoming existing problems. The research method used is descriptive method. The research was conducted by conducting a direct review on the CV. Davina23 . By using the Codeigniter Framework, it is hoped that it is easy to understand, it can make it easier to process employee salary data in more complete and detail. The design of this information system is carried out using an object-oriented methodology (OOSE), which consists of Use Case Diagrams, Use Case Scenarios, Activity Diagrams, Class Diagrams, and Sequence Diagrams. The resulting application design functions to perform processing, transaction processing, and report generation. With a computerized information system, information is processed more quickly and calculations can be performed more precisely and accurately. Keywords : system information, salary, employees, framework  codeigniter DOI :  http://doi.org/10.5281/zenodo.4320258
PENGARUH PEMBELAJARAN SUGESTI IMAJINASI TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN BAHASA INDONESIA

Imagination Suggestion Model is not yet popular among teachers, teachers still use a learning model that is still monotonous, so that the learning process is often found that students are not actively participating in the learning process. The purpose of this study was to determine the effect of the Imagination Suggestion Model on Student Learning Outcomes in Indonesian Language Subjects Class VIII at SMPN 3 Gunungsari, West Lombok Regency in 2018/2019 Academic Year. Data collection methods use tests, documentation and interviews as a complement. As for data analysis using the t test formula. After the research is carried out, the data is entered into the work tebel, then performed calculations using the formula. T-test results show the value of t calculated is greater than the value of t table at a significance level of 5% with db = 20-1 = 19 (3.703> 2.093) then the null hypothesis (H0) is rejected while the alternative hypothesis (Ha) is accepted. The Conclusion There Is The Effect Of Imagination Suggestion Model On Student Learning Outcomes In Indonesian Language Subjects Class VIII at SMPN 3 Gunungsari, West Lombok Regency, 2018/2019 Academic Year. In other words, this research is significant.
Expert System for Early Detection of Public Anxiety Levels Against Covid-19 with the Comparison Method of Dempster-Shafer and Certainty Factor

Anxiety can attack anyone, including society, against Covid-19. Excess anxiety can cause people to experience psychosomatic problems. Based on the existing problems, a system is needed that can help provide information to detect people's anxiety levels and deal with excessive anxiety levels quickly. The method used in this research is the Dempster-Shafer and Certainty Factor methods, which will then be compared to determine the accuracy value of each method. The method that has the highest accuracy value will be applied in the expert system to be created. From the calculation accuracy obtained on the certainty factor method, the accuracy results are 91% and the dhemster-shafer method the accuracy results are 54.5%. Then it can be concluded that the certainty factory method has a more accurate accuracy than the dhamster-shafer method in detecting early levels of anxiety society against covid-19. The research carried out aims to analyze the results of the comparison of the diagnosis of an expert system made in early detection of the level of anxiety in the community about Covid-19.
Article 17 of the DSM Directive – a threat to European freedom of expression? : An analysis of Article 17 of Directive 2019/790 in light of Article 10 of the ECHR and Article 11 of the CFR

This thesis is concerned with examining the effects of Article 17 of the DSM Directive on freedom of expression in light of Article 10 of the ECHR and Article 11 of the CFR. The aim is to discern w ...
THE IMPLEMENTATION OF DIRECT METHOD IN TEACHING SPEAKING AT JUNIOR HIGH SCHOOL

In speaking foreign languages, especially English, a skill is needed. So, a teacher must apply the method that is most suitable for his students. The purpose of this research is to see the success of the direct method implementation that is applied by the teacher to the students. This study uses qualitative methods and the results of this study are the direct method implementation succeeded in improving the students' speaking skills.
VATS : Voice-Activated Targeting System

Machine learning implementations in computer vision and speech recognition are wide and growing; both low- and high-level applications being required. This paper takes a look at the former and if b ...
ANALISIS KADAR AIR SERASAH KELAKAI (Stenochlaena palustris Burm. Bedd) TERHADAP PELUANG TERJADINYA KEBAKARAN DI KAWASAN EKOWISATA BEKANTAN PT. ANTANG GUNUNG MERATUS KALIMANTAN SELATAN

Bekantan ecotourism area is a peat area that had caught fire in 2015 resulting in the loss of existing vegetation. Naturally, areas of burned peat have the ability to repair themselves by natural (secondary) succession. This succession is usually marked by the presence of pioneer plant types which will eventually form vegetation of shrubs, one of which is kelakai (Stenochlaena palustris Burm. Bedd) which dominates in the bekantan ecotourism area. It is possible to become one of the forest fuels if the area burns again. The aim of this study is to calculate the level of water litter (Stenochlaena palustris Burm. Bedd) and analyze the effect of water content of litter (Stenochlaena palustris Burm. Bedd) on the chance of a fire in Bekantan Ecotourism Area of PT. Antang Gunung Meratus, Kalimantan Selatan. The study was conducted in Bekantan Ecotourism Area PT. Antang Gunung Meratus, Kalimantan Selatan, for 3 months, from June to August 2019. The data obtained were calculated on the water content and determined the level of fire hazard. The results of this study the water content of litter under the shade of 11.6%. So that the water content under the shade is at a rate <20%. In accordance with the statement of the Ministry of Forestry and Forestry (1999) for peatlands, the water content in the observation plots is categorized as prone to fire. Keywords: Fire ; Kelakai ; Water content
Build an app

A mobile app, short for application, is a computer program for mobile devices, such as a mobile phone or Android tablet. Apps are available for mobile games, providing information, location and route finding, playing music, and controlling external devices. The MIT App Inventor provides the opportunity to design your own app, rather than using an app downloaded from Google Play Store. After completing the app design stage, the app is immediately available to download to an Android tablet or mobile phone.
학문 목적 한국어 말하기 평가의 기준 설정 연구

This study aims set a standard of Korean Speaking Test for Academic Purposes(KoSTAP). KoSTAP measures Korean speaking proficiency required for international students to carry out basic academic assignments at universities. Details of the standard setting procedure adopting modified-Angoff methods is given to provide procedural and internal evidence for the outcome from the standard setting. Three cut-scores that discriminate four performance standards are derived through a total of three standard setting rounds at a workshop participated by 16 expert panels. This study presents a reliable standard of Korean speaking proficiency for academic purposes. This standard can be applied to decision-making by test takers and stakeholders. It also discusses methodological procedures and interpretation of the results, and provides empirical information necessary for standard-setting studies. Finally, it reconfirms that the panel’s expertise are important factors influencing the outcome. (Seoul National University Sungkyunkwan University Seoul National University Seoul National University Seoul National University Seoul National University Sogang University Seoul National University)
Creating and modifying ontologies in Python

In this chapter, we will see how to create a de novo ontology in Python and how to modify or enrich an already existing ontology. Almost all of the objects, attributes, and lists of Owlready seen in the previous chapter can be modified: when the value of these is modified, Owlready automatically updates the corresponding RDF triples in the quadstore.
Understanding the concept of muslimah spa among the workers of spa at bandar Puncak Alam / Azizah Mohd Zan

Muslim spa is a spa that adheres to Islamic shariah. Another term for spa is the beautification industry, beauty center, wellness and care spa and Islamic spa practices. Spa is the form or term from Latin which is “Solus Per Aqua” that means healing with water in Latin and that the concept of treatment. Issues that arise in the beauty industry are often consumer doubts in the use of products in spa treatments. Issues related to care genitalia also applies when receiving treatment at the spa. Muslim spas are created for Islamic consumers of Islam and especially for women. Women and beauty are inseparable. Therefore, this study is designed to explain the concept of Muslim spa in terms of treatment offered and the types of spa. Among the treatments provided at the spa are generally massage, body bathing, body scrub, sauna, facial and hair treatment. The spa also has many types, including hotel spa, medical spa, and day spa. In addition, this study also examines the elements involved in spa activities such as the use of halal products, genital care and the treatment activities involved. This study is focused on a Muslim spa in the Puncak Alam area. The purpose of this study is to gain an understanding of the concept of the Muslim spa in Puncak Alam area. Explanations are supported by previous studies and several articles of relevance. Then the researcher used the arguments from the Qur'anic verse as supporting arguments. This research use the qualitative methodology which is based on interviews and internet search. Most Muslim women in Malaysia will seek Muslim spas for beauty and health care as they keep their genitals closed while receiving treatment.
CT‐based brain segmentation and volumetry using deep learning methods

Abstract Background Computed tomography (CT) is the most commonly used brain examination tool for the initial assessment of neurodegenerative diseases such as dementia disorders. It is widely available, affordable and provides short scan times, however, it is mainly used for visual assessment of brain integrity and exclusion of co‐pathologies while magnetic resonance imaging (MRI) is the preferred modality for the extraction of regional brain volumetric measures, obtained by brain segmentation into tissue classes and anatomical regions. We developed an automated, deep learning‐based approach to segment CT scans into intracranial volume (ICV), grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF). Method 139 CT and T1‐weighted MRI scans acquired on the same day in participants of the Gothenburg H70 Birth Cohort Study (70% female) were included in this study. SPM12 was used to extract GM, WM and CSF tissue class labels and Pincram for creating ICV masks from the MRIs. These labels were used as training input and as the reference criteria for subsequent volumetric and similarity comparisons. In a training subcohort (n=120), CT scans were co‐registered to their corresponding MRI. A U‐Net deep learning model was developed using the Keras software package which underwent two training sessions: 1. Predict ICVs in CT and extract brain; 2. Predict GM, WM and CSF volumes with extracted CT images as input, preserving the predictions in individual space. MRI labels were incorporated during the training sessions including 120 datasets. Result Nineteen validation datasets which were not included in the training were used for the prediction process without MRI intervention. Continuous Dice scores between ICV, GM, WM and CSF predictions from the model in the validation datasets and independently MRI‐derived labels were 0.97, 0.79, 0.81 and 0.72 with a volumetric Pearson correlation coefficient, r of 0.93, 0.84, 0.73 and 0.71, respectively. Conclusion Our pilot study developed a deep learning model that enables the automated segmentation and volumetric measure extraction from cranial CT. With further optimization, training on larger and more diverse datasets, we aim at improving the model to execute predictions comparable to MRI‐based approaches, thus, developing a diagnostic support tool based on routinely acquired CT scans.
IT Governance: A Determining Factor Ensuring Online Learning Mechanisms

The existing COVID-19 pandemic and the necessity to do physical distancing have transformed activities and patterns of learning through the implementation of online learning mechanisms. However, this learning model often brings implementation difficulties for administrators and educators. It is noted that the educational process should continue online. The purpose of this study was to determine the extent of roles and influences of IT governance on IT capabilities in ensuring the fine implementation of online learning mechanisms with or without the mediation of behavioral intention to use. The research was in the form of a survey method and an explanatory design. There were 235 sheets of questionnaire answers filled and collected. Respondents included leaders, heads of the curriculum department, and teaching staff working at elementary, junior high, and senior high schools as well as universities implementing online learning in West Kalimantan. Data were processed by using Likert scales and analysis software of SEM-PLS. Research results reflect a requirement for every educational institution to implement IT governance (in terms of IT steering committee, IT strategy, IT project steering, information strategy planning, IT governance awareness, and IT leadership) because of important roles and influences to achieve the success of implementing online learning mechanisms.
Blockchain for Industry 4.0

Industry 4.0 speaks to the Quaternary current change which is described as another degree of affiliation and monitors the whole worth cycle of the current example of things, which is prepared for continuous customer necessities. Industry 4.0 spotlights on the advancement of an unfastened, savvy producing stage for mechanical sorted out information applications. Blockchain is all over the place, developed by Nakamoto. The name Nakamoto refers to one or more unknown individuals who are yet to be uncovered in reality. In Blockchain, the distributed ledger innovation mandates all the individuals to be a part of the network to do any operation. In the clinical segment, counterfeit medicines are known to be distributed which needs immediate attention – especially for the occasion with sensitive drugs; it may produce a savage outcome when the patients don't get the prescribed treatment.