Reviewerly/exHarmony huggingface dataset:
PROTOTYPE INTERFACE OF THE OPERATIONAL SYSTEM APP IN HUMAN RESOURCES BUREAU OF UAD.

Based on the operational system of the HR bureau (sdm.uad.ac.id), this system is used for various purposes that aim to support the functions of this bureau such as entering data, employee assessment, and others. Lack of information on the website, for example, when filling in data, it does not say whether the data has been processed or not and so on. Because of the shortcomings in this system that made some miss communication between the human resources and lecturers/employees. The existing system also caused a lot of data to be calculated and compiled manually, so it took a long time to process the data. In this website system, improvements are needed to reduce or add features to minimize the shortcomings of the website and make the HR bureau website more effective and user friendly.
A Thinning-based Junction Detection And Resolution Algorithm for Document Images

Junction detection plays a significant role in document image recognition.High recognition rate of graphical primitives is correlated with the proper detection of junctions.In this paper, a junction detection algorithm is presented in thinning-based raster to vector conversion process.The method has three stages that leverage junction representation from pixels to features (i.e.junctions).The input image is thinned to its skeleton.Edges were found next and pixels with many neighbours are designated as a low level junction.Polygonal approximation on edges is used to detect L-junctions while connected component analysis is used to find intermediate junctions.Intermediate junctions with a distance less than a threshold are combined to form a high level X-and Y-junctions.Performance evaluation on mechanical engineering drawings shows precision rate of 82.38% and a recall rate of 97.29%.
Hierarchical and Multi-resolution Neuron Network Computing for Complex Inverse Problems-An Approach Based on Brain-inspired Computing and Learning Method

Background: Complex inverse problems such as Radar Imaging and CT/EIT imaging are well investigated in mathematical algorithms with various regularization methods. However it is difficult to obtain stable inverse solutions with fast convergence and high accuracy at the same time due to the ill-posed property and non-linear property. Objective: In this paper, we propose a hierarchical and multi-resolution scalable method from both algorithm perspective and hardware perspective to achieve fast and accurate solu-tions for inverse problems by taking radar and EIT imaging as examples. Method: We present an extension of discussion on neuromorphic computing as brain-inspired computing method and the learning/training algorithm to design a series of problem specific AI “brains” (with different memristive values) to solve a general complex ill-posed inverse problems that are traditionally solved by mathematical regular operators. We design a hierarchical and multi-resolution scalable method and an algorithm framework to train AI deep learning neuron network and map into the memristive circuit so that the memristive val-ues are optimally obtained. We propose FPGA as an emulation implementation for neuro-morphic circuit as well. Result: We compared the methodology between our approach and traditional regulariza-tion method. In particular we use Electrical Impedance Tomography (EIT) and Radar imaging as typical examples to compare how to design an AI deep learning neuron network architec-tures to solve inverse problems. Conclusion: With EIT imaging as a typical example, we show that any moderate complex inverse problem, as long as it can be described as combinational problem, AI deep learning neuron network is a practical alternative approach to try to solve the inverse problems with any given expected resolution accuracy, as long as the neuron network width is large enough and computational power is strong enough for all combination samples training purpose.
Implementation of an Elliptic Curve Encryption to a Database

The encryption process is very important for various applications that cover the treatment of sensitive information since it allows the protection of information stored in databases from external agents, providing security and trust to the user. The elliptic curve encryption model has the advantage of generating shorter keys but at the same level of security as other methods with much longer key lengths. The project implements an encryption system using the elliptic curve algorithm to protect the information in a database against attacks from a mobile device. The interface allows the entry of encrypted information to the database, it also performs encryption and decryption. The application of the ISO/IEC 27001 standard allows the correct management of information security to be established, through controls and strategies based on the continuous improvement cycle. Finally, the system was subjected to information security validation tests when it is accessed from a mobile device and the information is transmitted through an insecure channel, performing the necessary number of tests to ensure that the information travels through the network is encrypted, being unreadable to the intruder even if you can access it.
The Relationship of Difficulties’s Question Test with Final Year Student’s Competence of Medical Records and Health Information Management Program Study

The quality of the questions will determine the success of students in determining the answers to the questions which will be tested. The purpose of this study is to analyze the relationship between the difficulty of questions with the competence of students in Medical Record & Health Information Management (MRHIM). The design of this study is observational analytic. The population of this study is 128 MRHIM study programs with students who take the competency of try out test in 2018 and as a sample are 128 students who take the competency of try out test. The collection data uses online questionnaires and secondary data in the try out’s data form of the competency test. The data analysis uses the chi-square test. The results of the study are found by students who consider the difficult question ; 76 (59.4%) people; enough questions; 35 (27.3%) people; an easy questions; 17 (13.3%) people. 50 people are competent and 78 people are not competent yet. There is a significant correlation between the difficulty’s questions with the competence of final year students. This study concludes that students who go through difficult exam questions tend to be incompetent 3.3 times , are compared to students who go through non-difficult questions.
LibGuides: Resources for Dependents: Middle School (6th - 8th)

A guide to library services, databases, and other resources for K-12 students of Furman Employees.
Prediction of elementary school academic performance abilities for young children's academic abilities and preparation for learning, which the mothers and the teachers rated

This study was conducted by researchers to compare the differences between the ratings of mothers and teachers on young children's academic ability and learning ability, and to confirm their influence on elementary school academic performance ability. This study was conducted using data from the 7th year(2014) and 10th year(2017) of the panel study on Korean children. The analysis data were individual basic background, academic ability, preparation for learning, and academic performance ability. 600 children were used for the study. We suggests that close interaction and cooperation between mother and teacher are necessary to support young children's academic ability and learning preparation.
The role of electronic textbooks in teaching biology

This article is about the role of e-textbooks in the development of e-learning, improving the quality of education, systematic management of the educational process and the quality of education, facilitating the integration of education into world education. Based on the high demand for e-textbooks due to the urgency of the use of information technology in the educational process; The article discusses the requirements for e-textbooks in biology and the role of e-textbooks in the education system, improving the methodological support of teaching biology through modern technologies, increasing interdisciplinary connectivity and opportunities for virtual education. Introduction of artificial intelligence technologies in our country, their widespread use, expansion of the use of digital data, the independent use of electronic textbooks by gifted students or the creation of an information environment for students in the educational process, the expansion of scientific outlook, clear solutions and its role in the formation of non-standard thinking skills.
Geochemistry and possible industrial applications of Cretaceous-Tertiary kaolins of the Douala Sub-Basin, Cameroon

The geochemistry and diagnostic evaluation of Cretaceous-Tertiary kaolins in the Douala Sub-Basin in Cameroon were carried out in order to determine their potential industrial applications. The mineralogical, physical, physico-chemical and geochemical characteristics of the kaolins were determined. Quartz and kaolinite are the most dominant mineral phases in bulk kaolins (means of 45.25 and 33.90 wt%, respectively); whereas in the < 2 µm fraction, kaolinite is the most dominant mineral phase (mean of 72.17 wt%). The texture of half of the samples is sandy loamy clay or sandy loam texture, and the colour from white to light reddish brown. The moisture content is generally < 2 wt% in all the size fractions. The kaolins have an acidic pH, and the electrical conductivity is below 55 µS/cm. The major oxides geochemistry shows that the most abundant major oxides are silica and alumina, followed by iron oxide and titania. As physical, physico-chemical and geochemical characteristics of kaolins determine their potential industrial applications, these were inferred. Based on the interpretation of the results, the investigated kaolins could be used in the pharmaceutical, construction, pottery and cosmetics industries.
Assessing General Framework against HCI Theories

The chapter assesses the General Framework for HCI research for coherence against HCI theories. The General Framework comprises concepts of discipline, general as common, general problem, particular scope, general research, general knowledge and general practices. The theories comprise extended cognitive (as external cognition, distributed cognition and ecological cognition), social (as situated action and CSCW (computer-supported cooperative work)) and miscellaneous (as ethnography, grounded, design, human values, technology as experience, critical and in-the-wild). The assessment concerns the key concepts of the HCI theories, although other concepts are also referenced. The concepts of the General Framework are assessed as generally coherent. The assessment does not constitute a validation of the General Framework. However, it does show promise for such validation. The outcome is also indicative as to the potential of the General Framework to support research that aims to develop such theories.
Yinnar Exercise Program

The CEU evaluation analysed the impact of the Yinnar and District Memorial Hall Committee’s Yinnar Exercise Program in 2019 by developing an understanding of the participant’s motivation for attending and the effect it had on social connectedness.
InfoGuides: Primary & Secondary Sources: Locating Secondary Sources

This brief guide will help you understand the difference between primary and secondary sources AND show you ways to find either or both.
THE DEVELOPMENT OF ONLINE REGISTRATION SYSTEM FOR PICKING-UP TABLET OF THE OFFICE OF GENERAL EDUCATION AND INNOVATIVE ELECTRONIC LEARNING

The study aims to develop one stop service system with the focus on picking-up tablet of students; and to survey the satisfaction level of the service receivers.  The tools used for collecting data are picking-up tablet registration system and satisfaction evaluation form.  The system is developed in the form of web application, with ASP.Net (C#) language and backing database with Microsoft SQL server, which can be accessed by all types of equipment.  The system can offer service in advance, can accept and support cueing process online, and can summarize all service providing – fast and accurate.  According to satisfaction survey from 385 students, who enroll the GE courses, the score is at the average mean of 4.70 and standard deviation at 0.53.
Маркування пропущеної просторово-розподіленої інформації за допомогою валідації

The purpose of the study is to investigate the spatially distributed data set, to identify differences and errors usingthe validation method. Validation accelerates data validation and improves the processing of large volumes of spatiallydistributed information. The above approach allows to check and consistently record the results that meet the establishedcriteria. Models designed to convert differentiated spatially distributed data sets into a single digital description space areconsidered. The result of the audit is proposed to be reported.
PEMBUATAN DAN KARAKTERISASI MEMBRAN BERBAHAN DASAR LIMBAH STYROFOAM MENGGUNAKAN METODE ELEKTROSPINNING

ABSTRACTStyrofoam is a type of organic chemical that cannot be broken down by nature. The existence of Styrofoam waste which has more and more adverse impacts on health and the environment, so it is necessary to find a solution so that its use can be minimized as well as efforts to reduce these adverse effects. One of the efforts made is to convert styrofoam waste into membranes. This study aims to synthesize and characterize the use of styrofoam waste as a membrane using the electrospinning method. 2 gram of Styrofoam was dissolved into the orange peel water of 5 ml, 10 ml, 15 ml and 20 ml. Styrofoam membranes are perfectly formed in styrofoam solution with 10 ml and 15 ml orange peel water. The FTIR spectrum results explain the shift of the -OH group to the wave number 3277.48 cm-1 with a wider peak and the ester group shifting at the wave number of 2084.49 cm-1 with a sharp absorption spectrum. Meanwhile, the results of SEM styrofoam membrane with 10 ml orange peel water and 15 ml, have a very good morphology and no beads. The average diameter of styrofoam fiber with 10 ml orange peel water is 237 ± 26 nm and styrofoam with 15 ml orange peel water is 334 ± 40 nm. With all the advantages of the membrane is expected to provide benefits for the environment and economically.Keywords: styrofoam, membrane, orange peel water, electrospinning
Research guides: JOUC60/MDSC60: Diasporic Media: Shared libraries

A library guide aimed at assisting students enrolled in JOUC60/MDSC60 in the completion of their research and assignments.
The Effects of Kernel Functions and Optimal Hyperparameter Selection on Support Vector Machines

Support Vector Machine (SVM) is a supervised machine learning method used for classification and regression. It is based on the Vapnik-Chervonenkis (VC) theory and Structural Risk Minimization (SRM) principle. Thanks to its strong theoretical background, SVM exhibits a high performance compared to many other machine learning methods. The selection of hyperparameters and the kernel functions is an important task in the presence of SVM problems. In this study, the effect of tuning hyperparameters and sample size for the kernel functions on SVM classification accuracy was investigated. For this, UCI datasets of different sizes and with different correlations were simulated. Grid search and 10-fold Cross-Validation methods were used to tune the hyperparameters. Then, SVM classification process was performed using three kernel functions, and classification accuracy values were examined.
TTUHSC El Paso Library: Introduction to Library Databases: Home

The TTUHSC El Paso Library subscribes to over hundred online databases. This guide is designed to help you select the appropriate database for your research.
Overview of privacy preserving technologies for distributed ledgers

The paper analyzes the privacy preserving problem for distributed ledgers. It provides an overview of technologies such as mixers, zero-knowledge proof algorithms, homo- morphic encryption, secure multi-party computation, anonymous signatures, and hardware solutions. Advantages and disadvantages of each technology are identified, as well as usage samples in the existing distributed ledgers. As a result, unsolved problems and prospects for further research are formulated.
Application of Improved YOLOv3 Algorithm in Mask Recognition

With the influence of novel coronavirus, wearing masks is becoming more and more important. If computer vision system is used in public places to detect whether a pedestrian is wearing a mask, it will improve the efficiency of social operation. Therefore, a new mask recognition algorithm based on improved yolov3 is proposed. Firstly, the dataset is acquired through network video; secondly, the dataset is preprocessed; finally, a new network model is proposed and the activation function of YOLOv3 is changed. The average accuracy of the improved YOLOv3 algorithm is 83.79%. This method is 1.18% higher than the original YOLOv3.
Digital educational strategies to support basic engineering science courses

In this paper there are described some educational strategies based on virtual learning environments, which were implemented in engineering programs with the purpose of mitigating failure rates in basic stage subjects. Based on a case study at the University of Baja California, the causes of failure for the period 2013 to 2016 were diagnosed, and subsequently, from 2017 to 2019, the implementation of four support strategies began. An analysis of the behavior of the failure rates before and after the implementation of the strategies was made, and the results show up that both the failure levels in five subjects as well as the student lag decreased. Even though the strategies applied in this study are replicable, and the use of virtual learning environments supports students’ academic performance, it is still necessary to expand the research to measure the impact of additional strategies that were put in to practice simultaneously.
Development of the learning process management in the context of digitization

The article is devoted to the development of approaches to improving the management of the learning process in the context of digitization. The massive and ramified formal education system does not meet the needs of the labor market and is unable to form high-quality labor resources. It does not work for the autonomous well-being of citizens and significantly reduces their employment opportunities and capitalization, that is, the economy and the country, in general, are losing. Approaches, solutions, and initiatives for the development of digital literacy through academic formal education and non-formal education will differ based on their specifics. The key solution to the problem is a combined strategy, in which there are long-term measures and scales inherent in the state education system and short-term rapid measures that are more relevant for implementation in the digital education segment.
Social Cognitive Theory as the Microfoundations of Dynamic Capabilities

The aim of this study is to address the following question: “How does Social Cognitive Theory contribute to the microfoundations of dynamic capabilities?” Benefiting from the concepts of Social Cognitive Theory, namely, symbolizing capability, forethought capability, vicarious learning capability, self-regulatory capability and self-reflective capability, the study suggested a conceptual model for the microfoundations of dynamic capabilities. Thus, it was put forward that the managers and employees with self-capabilities had effect on the collective organizational capabilities of the firm. Moreover, it was deduced that the individual capabilities which Social Cognitive Theory set forth in relation to human nature would suggest explanations on the building (learning), coordination (integration) and reconfiguration (transformation) phenomena of dynamic capabilities.
A Survey on E-Commerce Platform for Quality Evaluation Using Product Reviews

It has been seen that there is wide acceleration for an E-commerce platform over the past 10 years. Moreover the E-commerce platform booms in the last year due to this COVID -19 pandemic and potentially the next couple of months. Product Review helps a lot for buying anything online regarding product quality, Service, or delivery time. Sentiment analysis helps to understand the context and the person's intent about the product like +ve, -ve, or Neutral. This paper gives the survey of techniques used by the researcher to identify the most relevant factors by taking into account the frequency of the aspect and the impact of customers at the same time. The abstract view of the proposed system that we are going to implement helps to find a positive, negative, or neutral sense of aspects of the product.
Internet of Things and Blockchain

The Internet of Things has thriving applications in several fields of technology, including ubiquitous computing in health care, industrial, and lifestyle applications. The IoT has been gaining in popularity by virtue of being a crucial standard for low-power lossy networks, under constrained resources. On the flip side, this technology faces two major hurdles: security and privacy. Blockchain is simply a public, permanent, and append-only ledger. This protocol relies on a cryptographic signature, making it safe and guaranteeing its authenticity and identity. Hence, it presents a decentralized model of data security. Blockchain has come to be utilized in various fields, as in the adoption of cryptocurrency, such as Bitcoin, where transactions are encoded and then divided into the system, to be kept by each participant. In this chapter, we strive to give a detailed introduction to the convergence of blockchain with the IoT. With the help of some proposed models, we explain the basic concepts, terminologies, and internal workings. We also highlight present challenges to the domain, the scope of future research, and the development of existing technologies.
MODERN ME MODERN METHODS OF IMPRO THODS OF IMPROVING THE QU VING THE QUALITY OF EDUCATION IN THE ORGANIZ TION IN THE ORGANIZATION OF THE EDUCA TION OF THE EDUCATIONAL PROCESS IN HIGHER EDUCATION

Abstract. This article states that a clear formation of teaching methods is a key factor in improving the quality of teaching. It is noted that the combination of state educational technologies with practical exercises on the basis of a clear plan will serve to improve the quality of education. Methods. Interactive teaching methods such as brainstorming, blitz survey, frontal survey, small group work, round table, business game, role play, role play. Examples include the use of "debate", "problem situation", "project", "reference text", "boomerang strategy (exchange of questions)" and "conceptual analysis". Results. Examples show how effective results can be obtained using advanced pedagogical technologies. Along with advanced pedagogical technologies, independent teaching is guaranteed, ensuring that students achieve their educational goals, as well as independent work on the effective assimilation of educational materials within the framework of scientific programs.
Pojkarnas superhjältar och flickornas osynlighet : En läromedelsanalys inom historieämnet för årskurs 4–6

This thesis will be examining how digital teaching aids portray gendernorms, specifically in the subject of history for ages 10-13. This is researched by finding out how the different digital teach ...