Reviewerly/exHarmony huggingface dataset:
ACTER (Annotated Corpora for Term Extraction Research) v1.4

The ACTER (Annotated Corpora for Term Extraction Research) is an annotated dataset for term extraction. Terms and Named Entities have been manually annotated in specialised comparable corpora covering 3 languages (English, French, and Dutch), and 4 domains (corruption, dressage, heart failure, and wind energy).
ENT 530 Social Media Portfolio: Sleepy Lamp / Nur Azyan Aqilah Azenan

Sleepy Lamp is a trademark for my business which focus on cute LED lamp to sleep at night. The main objective of my business is to offer a variety shape and colour for my customer and not only as a lamp for night but also a cute decoration for the room. Our business was started on 1 of November in 2020. According to the customer review, our product help them to get a peaceful sleep at night with the colourful LED lamp. This product is also liked by many due to the cheap and affordable price. Since early of its opening, Sleepy Lamp has become one of the shop that customer will always seek because of the various kind of shape of the lamp. Day by day, our product receive a high demands by the customer. Sleepy Lamp also always keep updated with the new design of the lamp to attract more new customer. Therefore, Sleepy Lamp is a good marketable product of choice that can be further expanded as the business keeps on growing.
LibGuides: Library Services Platform (LSP): LSP Policies

Website for the systemwide Library Services Platform Repository of Approved Policies from the governance committee and work groups. Additionally, this page contains new policy creation/policy revision process outline.
Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling

Cluster Labeling Models apply Artificial Intelligence techniques to extract the key features of clustered data to provide a tool for clustering interpretation. For this purpose, we applied different techniques such as Classification, Regression, Fuzzy Logic, and Data Discretization to identify essential attributes for cluster formation and the ranges of values associated with them. This paper presents an improvement to the Regression-based Cluster Labeling Model that integrates to the model an attribute selection step based on the coefficient of determination obtained by regression models in order to make its application possible in large datasets. The model was tested on the literature datasets Iris, Breast Cancer, and Parkinson’s Disease, evaluating the labeling performance of different dimensionality. The results obtained from the experiments showed that the model is sound, providing specific labels for each cluster representing between 99% and 100% of the elements of the clusters for the datasets used.
Color Objects Detection in Real-Time with Raspberry Pi and Image Processing

Color has been broadly utilized continuously in many applications. It offers a few massive focal points over geometric prompts, for example, computational straightforwardness, heartiness under partial impediment, pivot, scale, and goal changes. Even though color techniques end up being proficient in an assortment of computer vision applications, there are a few issues related to these strategies for which color tracking is one of the most significant. Color has been generally utilized in machine-based vision frameworks for assignments, for example, picture division, object tracking, and detection. The objective of this task is the proficient following of tracking color objects from a grouping of live pictures for use continuously applications including observation and robot route. This paper addresses building a real-time tracking framework comprising standard equipment and fit for tracking various objects from an edge arrangement progressively.
Novel Quantum Random Number Generator with the Improved Certification Method

Random numbers play an important role in many areas, for example, encryption, cryptography, static analysis, simulations.It is also a fundamental resource in science and engineering.There are algorithmically generated numbers that are similar to random distributions, but are not actually random, called pseudo random number generators.In many cases the tasks to be solved are based on the unpredictability of random numbers, which cannot be guaranteed in the case of pseudo random number generators, true randomness is required.In such situations, we use real random number generators whose source of randomness is unpredictable random events.Quantum Random Number Generators (QRNGs) generate real random numbers based on the inherent randomness of quantum measurements.Our goal is to generate fast random numbers at a lower cost.At the same time, a high level of randomness is essential.Through quantum mechanics, we can obtain true numbers using the unpredictable behavior of a photon, which is the basis of many modern cryptographic protocols.It is essential to trust cryptographic random number generators to generate only true random numbers.This is why certification methods are needed which will check both the operation of the device and the quality of the random bits generated.We present the improved novel quantum random number generator, which is based the on time of arrival QRNG.It uses the simple version of the detectors with few requirements.The novel QRNG produces more than one random bit per each photon detection.It is rather efficient and has a high level of randomness.Self-testing as well as device independent quantum random number generation methods are analyzed.The advantages and disadvantages of both methods are identified.The model of a novel semi self-testing certification method for quantum random number generators (QRNG) is offered in the paper.This method combines different types of certification approaches and is rather secure and efficient.Finally, the novel certification method is integrated into the model of the new quantum random number generator.The paper analyzes its security and efficiency.
Information Security Awareness of bank employees: how differences between headquarter and branch employees affect ISA program design

It is commonly acknowledged that human behavior is a factor that should not be underestimated when it comes to Information Security (IS). Information Security Awareness (ISA) programs are set up as a preventive measure, but breaches remain to occur. In order to develop tailored ISA programs that fit user’s needs, insight is necessary. Banks hold valuable personal and financial information which makes them a target for cyber criminals and therefore, the aim of our descriptive research was to gain insight in differences between headquarter and branch employees in the banking industry. By applying the Human Aspects of Information Security Questionnaire (HAIS-Q), we were able to show that differences are present between the two groups, especially in the area’s password management, email use and social media use. This suggests that tailoring programs could benefit ISA of these bank employees. Based on our results, we presented propositions that could be examined in future research within banking, but also other sectors belonging to the financial industry.
Hide and Seek in Slovakia: Utilizing Tracking Code Data to Uncover Untrustworthy Website Networks

The proliferation of misleading or false information spread by untrustworthy websites has emerged as a significant concern on the public agenda in many countries, including Slovakia. Despite the influence ascribed to such websites, their transparency and accountability remain an issue in most cases, with published work on mapping the administrators and connections of untrustworthy websites remaining limited. This article contributes to this body of knowledge (i) by providing an effective open-source tool to uncover untrustworthy website networks based on the utilization of the same Google Analytics/AdSense IDs, with the added ability to expose networks based on historical data, and (ii) by providing insight into the Slovak untrustworthy website landscape through delivering a first of its kind mapping of Slovak untrustworthy website networks. Our approach is based on a mix-method design employing a qualitative exploration of data collected in a two-wave study conducted in 2019 and 2021, utilizing a custom-coded tool to uncover website connections. Overall, the study succeeds in exposing multiple novel website ties. Our findings indicate that while some untrustworthy website networks have been found to operate in the Slovak infosphere, most researched websites appear to be run by multiple mutually unconnected administrators. The resulting data also demonstrates that untrustworthy Slovak websites display a high content diversity in terms of connected websites, ranging from websites of local NGOs, an e-shop selling underwear to a matchmaking portal.
Advances of Geo-Spatial ?ntelligence Development and Enhancement of Computing Power

Man-made brainpower is progressively applied in different fields given the turn of events and improvement of figuring influence, the development of learning calculations, and the extravagance of utilization situations. Artificial intelligence is an exhaustive specialized science that spotlights on the improvement of speculations, strategies, procedures, and application frameworks for mimicking and broadening human knowledge. Individuals are endeavoring to comprehend the embodiment of insight with AI, to deliver another sort of savvy machines that can react in a manner like human knowledge. The expression “Man-made reasoning” was proposed in 1956 during a Dartmouth Conference. That gathering is considered as the authority birth of the new discipline “man-made reasoning”. Around then, IBM’s “dim blue” PC crushed the world chess champion, and an ideal articulation of man-made reasoning innovation. An expanding number of AI applications target enormous information, processing power, web of things, object location, anomaly and change identification, picture translation, and automated planning.
THE INFLUENCE OF ORGANIZATIONAL CULTURE, LEADERSHIP ON EMPLOYEE EXPERIENCE HAS AN IMPACT ON RETENTION IN THE MILLENNIAL EMPLOYEE

The objective of this research is to analyze the essence and influence of organizational culture andmillennial employee retention, leadership styles towards organization culture, organizational culturetowards employee experience, leadership styles on millennial employee experience, and the effect of employeeexperience as variable of strategic HRM to retain millennial employee. The research is conducted towards226 millennial employees working in Jabodetabek and outside Jabodetabek area, between 20 – 35 years old.By using Smart PLS, this quantitative and exploratory research resulted significant impact betweenorganizational culture and millennial employee retention, significant impact between leadership styles andorganizational culture, significant impact organization culture towards millennial employee experience. Thisresearch discovered significant impact between employee experience as intervening variable of managementstrategic HRM to retain millennial employee. This research is an attempt to provide academic purpose forHRM strategy to retain millennial employee using new variable employee experience which is still rare toexplore.
VUT Libraries: Health Sciences: E-books Randomly-Picked by your Librarian

Welcome to the one-stop library guide destination for Health Sciences students and lecturers. These e-books were randomly picked by your librarian from ProQuest E-Books Central - one of our E-Books databases. You need to register to access them. You can also go to the database to find other e-books - https://ebookcentral.proquest.com
Improving the Discovery of Technological Opportunities Using Patent Classification Based on Explainable Neural Networks

Purpose: The paper aims to present an approach supporting the improvement of technological opportunities discovery using patent classification based on explainable neural networks. Design/Methodology/Approach: Empirical research was conducted applying a dataset containing U.S. patent documents. Firstly, this dataset was checked for the correctness of the saved patent data to be further analyzed. Then, a custom Bidirectional Encoder Representations from Transformers (BERT) Neural Network was developed and trained. Finally, the Local Interpretable Model-agnostic Explanations (LIME) method was applied for interpreting the results achieved with the BERT classifier. Findings: The studied classifier achieved high quality (precision of 80.6%), allowing correct classification of the technologies described in the patents. Such neural classifiers are easy to use in practice and highly versatile; however, there is an insufficient trust of managers in the decisions suggested by that black-box method. The proposed new approach may help overcome the lack of trust of the users of neural models towards the technological opportunities suggested by them. Practical Implications: Various patent databases are often used to discover innovative solutions, as well as economic and technological opportunities, because they contain vast resources of prosperous and extensive information recorded in patent documentation. Such analyzes are critical to businesses and public organizations as they help them make decisions about carrying out strategic investment projects. The presented approach, which supports the improvement of automated processes of technological opportunities discovery, may increase confidence in the results obtained using neural classifiers. Originality/Value: Earlier studies focused mainly on using more effective classifiers and better learning algorithms. Progress in this type of research did not help solve the problem of the lack of reliable justification for individual decisions indicated by machine learning models. In this study, a proposal for an approach enables the discovery of technological opportunities using patent classification based on explainable neural networks.
Functional Literacy of College Students: Analysis of the Situation, Directions of Development

The article analyzes the results of testing to test the functional literacy of 1st and 2nd year students of creative professions and specialties ("costume designer", "hairdressing", "design and modeling of clothing products") of students at the College of St. Petersburg Fashion. Based on the analysis, proposals are formed to improve the quality of education in order to increase the level of functional literacy of college students.
The Development of Mobile Base Interactive Learning Multimedia For Critical Thinking Improvement

This research study aimed to solve common problems often faced by learners. This is a Research and Development (R&D) with the APPED model which consists consisting of five stages of development. The subjects of this research were the 10 th -grade students of the Vocational Program of Computer and Network Technology at SMK Negeri 1 Tulung Klaten (State Vocational School 1 of Tulung, Klaten). The data analysis were analy z ed using technique was done through the descriptive quantitative technique . Based on the research, the data from the validation of performed by experts and practitioners of mobile-based interactive learning multimedia, out of four validators, obtained showed an overall value of 87.92%, which was included in categori z ed in the very good category, and meaning that it is proper for use in learning. The N-gain of T t he critical thinking ability improvement at the application stage obtained an N-gain of was 82.9%, and it was which was categorized as  included in the medium improvement category . The effectiveness of interactive learning multimedia used in learning as , shown by the learners’ response questionnaires, obtained showed an overall percentage of 83.52% and was included in the very good category. Based on the Wilcoxon test on critical thinking ability data , and the pretest-posttest gain values, critical thinking ability it obtained a value of 0.000 which indicated that there was a difference in the critical thinking ability improvement in a fter using the mobile-based interactive learning multimedia. Therefore, mobile-based interactive learning multimedia can be used as an alternative medium in learning to help improve students' critical thinking ability, as well as to support the independent learning process.
LibGuides: OER @ HFC (Open Educational Resource): Communications OER

Everything you want to know to adopt, adapt, or create OERs for your class Use this template to organize the pages specific to academic areas
Learning and Knowledge Technologies in school management in times of covid-19. Theoretical Review

The purpose of this article is the analysis of the use of Information and Communication Technologies (ICT) in school management in times of COVID-19, to seek the importance and relevance the use of new strategies and methodologies for the sake of improving all teaching and learning processes. Whose research is with the literature review of the different bibliographic references in the range of 2018 to 2021.25 Articles were examined; of which 20 were analyzed from the different databases found in the trilce campus of our Universidad Cesar Vallejo such as Scielo, Scopus, Ebsco,etc in Spanish and English languages. In this sense it is demonstrated that in the face of the need of our students and the closure of schools due to the pandemic in Peru and the world, we must not stop attending to teaching; with the adaptation of virtual media in order to close the digital gap in our education.
AN ANALYSIS ON THE CONTENT VALIDITY OF ENGLISH FINAL TEST AT SEVENTH GRADE OF SMP NEGERI 3 TANJUNGPINANG IN ACADEMIC YEAR OF 2018/2019

The purposes of this research were to analyze content validity of English final test items with compared into the achievement indicators in the lattice of basic competence of curriculum. Content validity is deal with the content of test item which tested whether reflected the material of curriculum. The researcher used descriptive qualitative method. Subject of this research was the English teacher at seventh grade of SMP Negeri 3 Tanjungpinang and object of this research was the English final test items. The researcher used the test item paper, the key and the lattice as the instrument. The researcher analyzed which suitable and unsutable test items to the achievement indicator in the lattice. Then, after got the result, the researcher described the content validity form by using Arikunto’s theory. The result of this research showed that the English final test at seventh grade of SMP Negeri 3 Tanjungpinang in academic year of 2018/2019 was 90%. Based on the level of category by Arikunto, the percentage of 81%-100% means that the category is very good. Therefore, it can be concluded that the English Final Test at seventh grade of SMP Negeri 3 Tanjungpinang in academic year of 2018/2019 has a very good content validity.
Credit Card Fraud Detection using Anomaly Detection

Fraud is a malicious activity that causes financial loss. Fraud causes by Credit Card have costs consumer as well as banks. Nowadays fraudsters are implementing diverse methods to commit frauds. So there should be a system like fraud detection which has the capability to detect the fraud activities before occurring and also in an accurate way. This paper discusses the utilization of machine learning methods in credit card fraud detection. Anomaly detection is a decisive obstacle that has been examined in varied research zones and various application domains. For a particular domain, different anomaly detection methodology has been specifically developed. This paper will talk about anomalies and its various types. Different aspects and challenges are considered in anomaly detection. Training data and different techniques are used in anomaly detection to solve a particular problem. Moreover it will discuss how the different techniques of anomaly detection are applied to solve the fraudulent activities in credit card data and what factors should be consider to apply to get full accuracy in the detection of fraudulent tasks in credit card data analysis.
Changes in the Cultural Level of the Individual under the Influence of Social Processes

This article examines in detail the main social evils negatively affecting the cultural development of the individual in the new century. In particular, the most serious threats to the cultural level of the individual today are analysed scientifically.
Análisis de las concepciones de maestros en formación sobre educación plástica y fomento de las capacidades comunicativas

This article is an investigation based on the survey method that analyses the conceptions and beliefs of the teachers in training, in Primary Education, about the area of plastic education and its relationship with the promotion of communicative expression. For this, a sample of 60 subjects has been used, who have provided descriptive data through a Likert scale questionnaire. The results refer to the close relationship that exists between plastic education and the promotion of communication skills, in addition to adding the personal appreciation that teachers have in training on plastic education, as well as their professional training in this area of knowledge.
Building backlinks with Web 2.0 : Designing, implementing and evaluating a costless off-site SEO strategy with backlinks originating from Web 2.0 blogs.

Purpose – The purpose of this thesis is contributing to the research on the efficacy of backlinks originating from Web 2.0 blogs by designing a costless method for creating controllable backlinks t ...
Parallel Processing Algorithms of Ultrasound Images

With the rapid development of microelectronics technology, digital image processing technology has deepened our lives. In the past, image processing mostly used software processing. Due to the large number of processing algorithms and the complexity of the algorithm, it could not meet the real-time requirements. Therefore, this paper proposes a method for parallel processing of ultrasound images based on fax by using a programmable logic device. Image fusion is to extract and synthesize complementary information from different sensors to obtain a more accurate, comprehensive and reliable description of the target or scene. The transmission of images and other images is achieved by the sound of various sensors, which is far from enough. This article presents the use of hardware description language to design image processing and drivers. The core of the print head, scan head and stepper motor can use the control interface to perform selective and parameter variable median filtering on the scanned graphic image through software. Edge sharpening, image field separation, binarization and other hardware processing are compared with a series of processing directly using software, and the optimal processing plan can be made well, and the processed image can be displayed and printed out on the. This design can produce practical results for designs in the fields of biomedicine, sports, and energy production.