Reviewerly/exHarmony huggingface dataset:
Random Forest-Assisted GP for Feature Learning

GP has been successfully applied to feature learning and image classification. However, being computationally expensive is a problem of GP when using it to learn features for image classification due to a large number of fitness evaluations. Surrogate models have been widely applied to assist evolutionary algorithms to improve the computational cost. This chapter investigates surrogate-assisted GP for feature learning to image classification. The features related to GP trees are extracted to form the training data for building the surrogate model. An investigation on the surrogate-assisted surrogate model and other regression methods-based surrogate models is conducted to show the effectiveness of the random forest-based surrogate model. The performance of surrogate-assisted GP is investigated on five different image classification datasets of varying difficulty and compared with a number of benchmark methods, including the original method without surrogates. The results show that using RF to assist GP on feature learning can reduce the computational cost and achieve satisfied performance.
PELAYANAN ONLINE PADA CALON PENGANTIN DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KOTA BINJAI BERBASIS WEB

The Binjai City Population and Family Planning Office is a government agency that is engaged in providing services to the community which includes services for prospective brides. A data processing information system has a very important role in the survival of an organization or agency.Therefore, to achieve convenience in registering the bride and groom of the City of Binjai, an online information system design for the bride and groom services will be made which will greatly facilitate the administrators of bride and groom service services. Previously, the Binjai City Population and Family Planning Office only registered and reported the bride and groom manually. The things done in the analysis is to design a data input system using DFD and Flowcharts.The results of writing this thesis are in the form of an online service information system for prospective brides in the web-based population control service and family planning for BinjaiCity.With such a solution it is hoped that a registration process can be carried out more quickly and efficiently.
Broadband network fault prediction using complex event processing and predictive analytics techniques

The customer satisfaction of the broadband network mostly depends on robustness of the service offered by Internet Service Providers (ISP). Providing uninterrupted network service is essential in this communication era even though interruption in internet connection is unavoidable. However, if it is predictedearlier, the consequences can be minimized. Hence, it is essential to accurately forecast the faults in internet connection for Telecom Companies. The proposed tool for predicting broadband network fault is made up of a combination of Complex Event Processing (CEP) and Predictive Analytics (PA) techniques. The PA is used to predict network faults using techniques such as Logistic Regression (LR) or Naive Bayes (NB). CEP is used to perform the prediction in real-time on streaming events. In this paper the performance of predictive model configured with LR is compared with the one configured with NB. Both the models had beentested for its performance using appropriate data set received from telecommunication industry using precision-recall curve and accuracy. It was found that the prediction accuracy of LR model (89.65%) is better than that of NB model (86.25%). It was also noticed that the derived AUC of LR is 0.52 which is much higher than 0.21 of NB. Hence, it was concluded that the predictive model configured with LR is performing better than the one configured with NB. So, the proposed tool configured with LR model can be implemented for fault prediction in network management systems.
EDUCATIONAL AND PEDAGOGICAL PARADIGM SHIFT IN THEORY AND PRACTICE

The Program “Educational and pedagogical paradigm shift in theory and practice” is implemented in Applied Research Implementation of Transformative Digital Learning in the Doctoral Study Program “Pedagogy” in Latvia (DocTDLL). This program is developed in cooperation with University of Ontario, Institute of Technology, Canada (EILAB) which is appropriate for implementation in higher education of Latvia and help to develop theoretical basis and practices of tertiary pedagogy. Transformative Digital Learning (TDL) transforms higher educational practices from: authoritarian instruction to democratized learning, individualistic learning to socially distributed and tool-mediated, knowledge building, a mechanism of the status quo to a catalyst for social progress, offer a truly novel approach to the theory of teaching and education, introduce new methodology and practical techniques to learners of all ages. The discourse changes concepts of education because technologies change the learner, ‘what how’ of this process, democratizes learning, communication, cooperation, interpersonal relationships and emphasizes the presence of moral values in education (Mykhailenko, Blayone, Žogla Ļubkina, 2019); Žogla, Prudņikova Mykhailenko,2019; Žogla, Ušča, Kijaško,2019).The purpose of the article is to analyse main results of approbation for the Program “Educational and pedagogical paradigm shift in theory and practice” for further investigation by the above mentioned project.
Sistem Informasi Geografis Tempat Pembuangan Sampah Berbasis Android Di Kota Gorontalo

The population of Gorontalo city is likely to increase because it is the provincial capital which is the center of economy and business. The increasing number of people is increasing the potential for landfill. some people who are less aware of cleanliness will dispose of garbage indiscriminately if they do not know the nearest landfill from their home. Garbage buildup will pollute the environment so that it can interfere with public health and can also cause problems in the future such as flood disasters. Today's problems are often solved by the use of technology, especially information and communication technology. Waste processing can most likely be overcome by using information and communication technology through high mobility media such as smartphones. Today's thriving smartphones are smartphones with android operating systems. Android smartphones besides having high mobility, also have very useful features such as google maps and GPS. Google maps and GPS features can collaborate in an android app program creation. Application program creation is designed using android and PHP programming languages collaborated with MySQL databases as data container media. The application program will be made reliable to solve the problem of waste processing by utilizing Google maps as a means to see landfills (TPS) and GPS as a means to detect the position of people or places that have garbage. Designed applications are expected to provide information on the nearest landfill (TPS) in the area where people live so that there is no garbage buildup, problems in the future such as health problems and flooding
Cancer Disease Prediction using Mammogram Images using Intelligence Technology

Breast cancer is a malignant (cancer) tumor starting with breast cells. A screening mammogram aims to find breast cancer when it’s too small to be felt by a woman or her doctor. Cost effectiveness is one of the major requirements for a mass screening program to be successful. The ultimate diagnosis of all types of breast disease depends on a biopsy. In most cases the decision for a biopsy is based on mammography findings. Biopsy results indicate that 65-90% of suspected cancer detected by mammography turned out to be benign. Hence, it would be valuable to expand a computer aided technique for mass classification based on extracted features from the Region Of Interests (ROI) in mammograms. This can reduce the number of unnecessary biopsies in patients with benign disease and thus avoid patients physical and mental suffering, with an added bonus of reducing healthcare costs. The study reveals that proposed work is better than the traditional models and discussed with limitations.
Differentials in Usage of Information and Communication Devices Among Extension Agents: A Study on North-Western Zone, Nigeria

The awareness and the extent of usage of Information and Communication Technology (ICT) components by Village Extension Agents (VEAs), in three selected States Agricultural Development Projects (ADPs) of Nigeria, were investigated.Two hundred and four (204) VEAs were sampled as respondents for the study.With aid of simple statistical tools (average, cumulative and percentages), and the analysis of the results indicate that the level of awareness of ICTs among the respondents (VEAs) was quite high especially on radio (99%), GSM phones (96%); and television (93%).On the contrary, the level of awareness was low on fax (68%) and Personal Digital Assistant (PDAs) (69%).It was also noted that the following devices were highly used by the respondents; GSM phones, radio, cassette recorder, television, CD/DVD player and VHS Video player.Unfortunately, the respondents recorded least ICT usage on fax and PDAs.It was recommended that both awareness and usage of available ICT formats should be intensified among VEAs so as to optimize their usage in the effective performance on the job.
Multi-layer Representation for Binary Image Classification

GP has a flexible representation and can address binary image classification in many possible ways. This chapter proposes a GP-based approach with a multi-layer representation to achieve simultaneous and automatic region detection, feature extraction, feature construction, and image classification. Each layer can have a different number of functions for the corresponding task. The effectiveness of the proposed approach is verified on six different image classification tasks of varying difficulty in comparisons with a large number of baseline methods. Further analysis shows potential interpretability of the solutions/classifiers evolved by the proposed approach.
EVALUATION OF CLINICAL AND LABORATORY PROFILE OF ANAEMIA PATIENTS AT A TERTIARY CARE HOSPITAL

Background: Globally, anaemia is the burning health problem with significant disability associated with it. Iron deficiency anaemia (IDA) is the commonest cause of anaemia more so in developing and underdeveloped part of world.&#x0D; Aim: To provide clinical and laboratory profile of anaemia patients at a tertiary care hospital in Bihar, India.&#x0D; Material and methods: This was a prospective observational study conducted in the Department of General Medicine Nalanda Medical College and Hospital, Patna, Bihar, India from November 2019 to June 2020. In all 120 patients thorough history was taken, general physical examination and systemic examination were done. Patients were subjected to routine blood investigations including complete blood count, peripheral smear study and serology for viral markers.&#x0D; Results: Among 120 patients studied 35(29.17%) were males and 85(70.83%) were females. In our study it was found that anaemia had its highest occurrence in the age group of 20-30 years 65(57.17%) followed by below 20 year age group 25(20.83%). 59 (49.17%) were easy fatiguability and generalised weakness the most common symptoms of anaemia in our study.&#x0D; Conclusion: We conclude that some extensive steps taken by WHO and Government bodies in educating and treating people about the disease.&#x0D; Keywords: Anaemia, Clinical profile, Laboratory profile&#x0D;
USE OF MATRIX-TOPOLOGICAL METHOD TO CALCULATE ELECTRIC ENERGY CONSUMPTION FROM A PREVIOUSLY FORMATED DATA SET

The issues of rational use, control and saving of energy resources are considered as relevant both at the current moment of time and in the long term.A comprehensive solution to the problems of reducing energy costs and increasing energy efficiency presupposes a competent enterprises energy policy through the construction and development of energy management systems.The basis of such systems is made up of mechanisms for collecting, processing and analyzing data obtained using various information and analytical solutions, monitoring and control means that allow determining key indicators that characterize the production activities efficiency.The presence of a large number of factors associated with a change in the parameters of the electric power system necessitates the use of mathematical modeling methods of power consumption to assess and predict such indicators.Purpose: development of a methodology for calculating the consumption and distribution of electricity based on the matrix-topological method in the power supply system of oil fields using information from existing monitoring systems.Methods: linearization of data in a time series to filter the original array of information.Filtered arrays of information are used as the basis for a combined dataset for matrix-topological calculations.Results: a method and an algorithm for matrix-topological calculation of power consumption of oil production facilities was developed.The method allows to form an initial set of analytical data using a minimum amount of information coming from monitoring systems in the process of oil production, to create a single dataset of an enterprise power supply system using mathematical models of its individual elements, and also to carry out, according to the generated dataset, the calculation of the distribution (consumption) of electrical energy within the entire field using the matrix-topological method.On the basis of the proposed method of matrix-topological calculation, an assessment of electricity consumption was made using the example of the Sukharev field of the company LLC LUKOIL-PERM.Practical relevance: the developed methodology can be used to simulate various production situations, form balance orders, simplify the process of selecting equipment or making decisions.
IMPLEMENTASI DATA MINING PENGELOMPOKAN JENIS PENYAKIT PASIEN MENGGUNAKAN METODE CLUSTERING (STUDI KASUS : PUSKESMAS SAMBIREJO)

Disease is a condition where there is an abnormal body condition, which causes the loss of normal healthy conditions. Data mining is a process of finding information by identifying patterns in data sets. The process of finding information can be done by grouping the data using the Clustering method with the K-Means algorithm. The K-Means method is a method in group analysis where the data is grouped based on k groups (k = 1,2,3..k). The purpose of this study was to facilitate the classification of which types of diseases were most common to patients at Puskesmas Sambirejo Langkat Regency based on age, village and disease name in patient data for 2017-2019. From the results of program analysis that has been tested using matlab and the variables have been determined, it can be seen that, for cluster 1 the results of grouping the patient's disease type are 366 data, namely between the ages of 24-40 years, in the village of Sambirejo, with the name bronchitis. For cluster 2, the results of grouping the patient's disease type were 376 data, namely between the ages of 24-40 years, in the peace village, with the name hyperuricemia disease. For cluster 3, the results of grouping the type of patient's disease are 258 data, namely between the ages of 24-40 years, in a prosperous village, with the name hyperuricemia disease.
Pengolahan Data Penjualan Baju Online Pada Grosir Hasibuan Busana Pematangsiantar Berbasis Web

Hasibuan Clothing Wholesale is an online wholesaler that sells women's / men's clothing. In increasing the marketing and sales of products to consumers, it is necessary to implement a precise business strategy, namely to increase new market share. The problem experienced at Wholesale Hasibuan Clothing is that the competitiveness is increasingly higher with the presence of Online media. In this sales data processing, it uses the context diagram information system modeling, Data Flow Diagrams, and e-commerce website based application designs that are easy for customers to use. Based on data processing sales are able to manage such as controlling product inventory, searching product data using the results of web-based sales applications e-commerce is able to provide buying and selling transaction options to consumers so that sales data processing is more effective and the presentation of information is precise and flexible. This online sales data processing is made database using Xampp and MySQL.
Foreign Direct Investment, Non-Oil Exports and Economic Growth in Nigeria: A Structural Vector Autoregressive Analysis

This paper investigates the shocks dynamic relationship between the real gross domestic product, foreign direct investment, and non-oil exports in Nigeria from 1986 to 2016. Specifically, the paper investigates the impact of real gross domestic product and foreign direct investment on non-oil export using a structural vector autoregressive model. We analyzed the dynamic linkages/contemporaneous inter-relationship among the variables by applying time-series techniques such as the Granger causality tests, Variance Decomposition, and Impulse Response Functions analysis. We found no causal relation between FDI and NOX in Nigeria over the sample period. The empirical results are consistent with the findings by Yauri (2009) that FDI inflows to Nigeria are not export-driven but are attracted by certain economic fundamentals within the economy like the market size and availability of natural resources. In order to achieve the current diversification drive, the Nigerian government should encourage FDI. Furthermore, effort should be made to channel it into non-oil sectors, the benefit is to satisfy domestic market and export surplus over time so as to accelerate the diversification process.
Experimental Research on English Reading Behavior Based on E-Prime System

Guided by the framework of structural construction and based on the E-Prime experimental generation system, the reading time method and detection technology are used to investigate the differences of reading comprehension between conditional adverbial clauses which presented by two ways — preposition and postposition among native Chinese college students. It is found that there are significant differences in reading time and understanding between the preposition and postposition of conditional adverbial clauses in English reading. The results show that both at the sentence level and at the text level, the postposition structure is more difficult to characterize than the preposition structure, which affects the reading speed and the accuracy of understanding. The study aims to improve English reading teaching.
Learning Representations by Contrasting Clusters While Bootstrapping Instances

Learning visual representations using large-scale unlabelled images is a holy grail for most of computer vision tasks. Recent contrastive learning methods have focused on encouraging the learned visual representations to be linearly separable among the individual items regardless of their semantic similarity; however, it could lead to a sub-optimal solution if a given downstream task is related to non-discriminative ones such as cluster analysis and information retrieval. In this work, we propose an advanced approach to consider the instance semantics in an unsupervised environment by both i) Contrasting batch-wise Cluster assignment features and ii) Bootstrapping an INstance representations without considering negatives simultaneously, referred to as C2BIN. Specifically, instances in a mini-batch are appropriately assigned to distinct clusters, each of which aims to capture apparent similarity among instances. Moreover, we introduce a pyramidal multi-heads technique, showing positive effects on the representations by capturing multi-scale semantics. Empirically, our method achieves comparable or better performance than both representation learning and clustering baselines on various benchmark datasets: CIFAR-10, CIFAR-100, and STL-10.
Living in a Spamster's Paradise: Deceit and Threats in Phishing Emails

The prevalence of using email as a communication tool for personal and professional purposes makes it a significant attack vector for cyber-criminals. Consensus exists that phishing, i.e. use of socially engineered messages to convince recipients into performing actions that benefit the sender, is widespread as a negative phenomenon. However, little is known about its true extent from a criminal law perspective. Similar to how the treatment of phishing in a generic manner does not adequately inform the relevant law, a case-by-case legal analysis of seemingly independent offences would not reveal the true scale and extent of phishing as a social phenomenon. The current research addresses this significant gap in the literature. To study this issue, a qualitative text analysis was performed on (N=42) emails collected over a 30-day period from two email accounts. Secondly, the phishing emails were analysed from an Estonian criminal law perspective. The legal analysis shows that in the period of only one month, the accounts received what amounts to 3 instances of extortion, 29 fraud attempts and 10 cases of personal data processing related misdemeanor offences.
Modern Issues in Cyber Forensics and Digital Intelligence: A Critical, Case-Studies-Based Overview in Light of the Announced Legislative Reforms

While both international and European law-makers are currently in the process of introducing new laws re-gulating the fight against cybercrime and the exchange of digital evidence amongst competent authorities,this paper elaborates on a series of investigative challenges deriving from the application of current cyber-crime norms in a number of jurisdictions, unveiling a tension between the current legal system and its in-terpretation by the law enforcement and judicial community. This study analyzes the research undertakenon the legal and regulatory uncertainties observed in the Italian framework, as well as in other Europeanand non-European jurisdictions, by ways of comparative analysis. The main international legal instrumenton cybercrime is the Council of Europe’s Convention on Cybercrime (‘Cybercrime Convention’), signed in2001 and then ratified by almost 60 countries worldwide over the last 17 years. Aimed at raising awarenessto national and international policy and law makers, this paper intends to critically demonstrate how theimplementation of such a treaty into domestic laws has not always been smooth. It often presents interpre-tative issues, which add up to the growing difficulties for both law enforcement and judicial bodies to copewith the challenges arising by countering new and innovative forms of criminal activities in the cyberspace.
문학작품 기반 접근을 통한 초등영어 읽기지도

Literature should be valued in our homes and schools for the enrichment it gives to the personal lives of children, as well as for its proven educational contributions. This study analyzed various reading materials especially related to literature according to genres and subgenres followed by the classification of Fisher(1990). The term genre refers to a type of literature, and within different genres we find subgenres. Moreover, this study introduced resources of teaching for children’s literature in order of fiction, fantasy, traditional stories, poetry, and nonfiction based on Huck’s brilliant book(2001). Furthemore, also this study suggests that if teachers know a variety of children’s literature by genres and subgenres, they can teach English reading with adjustment to children’s personal preference and so manage their English reading class more effectively. (Gongju National University of Education)
Subject Guides: Welcome to Special Collections: Use from a Distance

A guide to visiting the Special Collections department at the University of Iowa Libraries.