Reviewerly/exHarmony huggingface dataset:
Entrepreneurial Marketing Dimensions and Market Performance of Small and Medium-scaled Enterprises in Niger Delta, Nigeria

Although small and medium enterprises provide diverse employment opportunities and economic growth in the Nigerian economy, entrepreneurial marketing has received little attention in the Niger Delta region of Nigeria in spite of challenges faced by them.The study examined the entrepreneurial marketing dimensions and market performance of small and medium scale enterprises in Delta State.A sample of 245 respondents comprises of owners or managers of SME's in Warri/Effurun Metropolis were selected for study.Convenience sampling techniques was used to select the sample after the area has been subdivided into zone with quota sampling methods.A survey research design was used to collect data from respondents through the use of questionnaire.Hypothesized relationships between the variables of study were tested using multiple regressions.Findings reveal that all the entrepreneurial marketing dimensions of pro-activeness, opportunity-focused, innovationoriented, customer intensity, resource leveraging and value creation have significant positive relationship with market performance while risk making have a negative relationship.It is therefore recommended that owners and managers of SME's should be pro-active, aggressive and innovative in design of strategies towards enhancing market performance in their organization.
Use of Artificial Neural Networks for GHI Forecasting

Artificial Neural Networks are computational models inspired by the functioning of the central nervous system of animals.They are able to promote machine learning and pattern recognition with high quality.This study aimed to predict a step ahead of daily Global Horizontal Irradiation (GHI) using Artificial Neural Networks (ANRs) of two types: Nonlinear Autoregressive Network (NAR) and Nonlinear Autoregressive Network with Exogenous Inputs (NARX).The network structure was developed using the Matlab 2019b® NTSTOOL tool.The database used was provided by the network of the National Environmental Data Organization System (SONDA), covering the Brasília station.Different models of neural networks were tested, contemplating varied inputs, and combinations of them.In addition, two training algorithms were tested, as well as several numbers of processors in the hidden layer, input delay and percentages for training, validation and testing of the network.The main point was to find the best ANR structure possible, which has a configuration capable of providing the lowest possible errors with good generalization.The results were compared with the naive and exponential damping models.A structure was obtained that provided 5.75% for the test MAPE error and 29,383.55W/m² for the test RMSE, standing out in relation to the naive forecast (MAPE: 19.28%; RMSE: 67,920.73W/m²) and that provided by the exponential damping model (MAPE: 9.36%; RMSE: 35,091.81W/m²).
Implementing Item Response Theory (IRT) Method in Quiz Assessment System

A quiz is one of the methods to test students’ abilities. Estimation of ability scores can be calculated by using the Classical Test Theory (CTT) and Item Response Theory (IRT) approaches. IRT is more sensitive to item characteristics that can estimate students’ ability. This study implements IRT in a quiz assessment system, compares the results of the CTT and IRT, then analyses the functionality and usability of the built system. The system was tested by 50 respondents using 30 question items with 5 answer choices. The collected data is automatically assessed by the system using CTT and IRT calculations. The results showed differences in ranking between CTT and IRT methods. Using the IRT method, there were 14 respondents who experienced an increase in rank, 19 respondents experienced a decrease in rank, and the remaining 17 respondents did not experience a change in ranking. The functionality of built system was tested with the Blackbox Testing method and it has passed all the test functions. The usability of the system was also tested by involving 23 respondents using the System Usability Scale (SUS) questionnaire and the SUS score showed that the system can be accepted by users.
Modeling of the English Translation Complex System Based on Discrete Data Mining

This paper provides an in-depth analysis and research on the application of web discrete data mining in modeling complex systems for English translation. This paper adopts association rule mining, clustering, and classification methods to deeply analyze English translation, mine the interesting rules in it, find out the interinfluence relationship of system modeling and the relationship between translation behaviors, analyze and compare different data mining methods, and make an evaluation of the mining results to provide a scientific reference basis for the relevant decision-making scheme of the English translation. The paper elaborates the relevant concepts of data mining and the theoretical basis and analysis process of association rule mining, clustering rule mining, and classification rule mining methods. The application of data mining techniques in modeling and analysis of complex systems of the English translation is highlighted, and these three mining methods are used to analyze a set of English sample data: through the analysis of the correlation of different English translations, some feasible suggestions are provided for the order of translation settings; through the analysis of clustering of English translations, the shortcomings of traditional translation methods are made up; through the analysis of the factors affecting the accuracy of English translations factors, a useful reference is provided on how to improve English translation and then improve the quality of translation.
The Effectiveness Of Talking Chips To Teach Speaking Viewed From Students’ Self-Esteem

This research is aimed at finding out whether: (1) talking chips is more effective than direct instruction to teach speaking; (2) students who have high self-esteem have better speaking skill than those who have low self-esteem; and (3) there is an interaction between teaching methods and students’ self-esteem in teaching speaking.&#x0D; The research method used was an experimental study. The research was conducted at Institut Agama Islam Riyadlatul Mujahidin (IAIRM) Ponorogo in the academic year of 2019/2020. The population was the first semester students of Institut Agama Islam Riyadlatul Mujahidin (IAIRM) Ponorogo in the academic year of 2019/2020 which consisted of three faculties. The sample was taken by using cluster random sampling. There were two classes used as samples, namely tarbiyah faculty as the experimental class taught by using talking chips and syariah faculty as the control class taught by using direct instruction. The data of the research were collected using a questionnaire and a speaking test. After the normality and homogeneity tests were conducted, the hypothesis test was done. The data of speaking test were analyzed by using multifactor analysis of variance 2 x 2 and Tukey test.&#x0D; Based on the data analysis, there are some research findings that can be drawn. First, talking chips is more effective than direct instruction to teach speaking. Second, the students who have high self-esteem have better speaking skill than those who have low self-esteem. Third, there is an interaction between teaching methods and students’ self-esteem in teaching speaking.
Feasibility Study on Shared Employees Based on Blockchain Technology

&lt;p&gt;Blockchain is a distributed ledger formed by sequentially adding consensual blocks linked by cryptography.Which create a reliable cooperation mechanism for shared employees because it can be traceable and can not be forged.The shared employees was born in 2020 as a temporary measure to address the imbalance in personnel allocation among certain industries amid the spread of COVID-19.With the help of blockchain technology, shared employees can achieve rapid development in the establishment of trust mechanism, traceability of employees’ background, and the establishment of credit evaluation system .The new economic model of shared employees supported by blockchain technology may bring benefits to the transformation of employment mode, the upgrading of industrial structure and even the economic integration of urban and rural areas in China.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
LEARNING MEDIA PALANG AJIB (PAPAN LANGKA AJAIB) TO EASY IN UNDERSTANDING THE METERIALS OF RELATIONSHIP AND FUNCTIONS

The teaching and learning process needs the media that plays a role in it. Decreased student understanding in learning results in decreased student learning outcomes. The media that is considered appropriate and in accordance with current conditions is the Palang Ajib learning media (Papan langka Ajaib). This media is used to teach in the classroom where the teacher usually only uses books and boards. The research method used is development research with the ADDIE model. The research begins with an analysis of the needs needed in the field, then continues with making appropriate media designs. The next step is to develop the media based on the designs that have been made. The next step is implementation and evaluation. By using this learning media, it is intended to make the learning process more effective and not boring. In addition, there is another purpose, namely this media is made to make it easier for students to learn and understand the material Relations and Functions. The process of making this learning media using materials and tools can be found in the surrounding environment. In addition, the benefits of this media make it easier for students to learn and understand Relations and Functions material, hone children's creativity, increase children's interest and enthusiasm in studying Relations and Functions material.
TEOREMA RESIDU DAN APLIKASINYA DALAM INTEGRAL TAK WAJAR

In this study discusses about the solve of improper integral uses ordinary step and the solve uses residu theorem. For the ordinary step is used the concept of integral and substitution integral, and the for the residu theorem is used the concept of a series from complex functions in complex areas. this study purpose for apply the residue theorem to improper integral of the real function. And know the proportion to calculate the integral value using the residue theorem and the ordinary steps, and applying the residu theorem in calculating improper integral of the real function that can't be done using the ordinary steps. Using concepts or approaches of complex function series thus produced the formula to calculate the improper integral of the real function. And the result of this study is that calculating unnatural integrals is easier and faster using the residue theorem than using the ordinary step. Not all the integral to the real function can be calculated using the ordinary steps therefore it can be used the residu theorem formula as an alternative.
Retraction: Convoluted fashion classifier prediction using Neural Networks (J. Phys.: Conf. Ser. 1916 012029)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
PECULIARITIES OF PSYCHOLOGICAL WELL-BEING OF STUDENTS WITH DIFFERENT ETHNIC OWNERSHIP INCLUDED IN A UNIFORM EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY

The article is devoted to the study of the peculiarities of psychological well-being and the specifics of understanding its indicators, barriers and resources among students of different ethnicity, included in the unified educational environment of the university. The first part of the study involved 300 students (M = 19.64; SD = 2.61) and were interviewed about the semantics they put into their own psychological well-being, its indicators and barriers to achievement. The second part - 60 students: 30 Russian and 30 representatives of other ethnic groups, representatives of Asian culture. As a result, the authors came to the conclusion that along with general trends in understanding and experiencing psychological well-being among students of different ethno cultural groups who are in a single educational environment, there are also specific trends related to the mentality, culture, customs and the very specifics of the social situation of educational migration. Basically, students are moderately satisfied with their own lives, as they see a number of barriers that prevent them from fully feeling the state of psychological well-being.
Scheme for Generating True Random Numbers using Electro-mechanical Switches

This paper proposes a novel method for generating True Random Numbers (TRNs) using electromechanical switches. The proposed generator is implemented using an FPGA board. The system utilizes the phenomenon of electromechanical switch bounce to produce a randomly fluctuated signal that is used to trigger a counter to generate a binary random number. Compared to other true random number generation methods, the proposed approach features a high degree of randomness using a simple circuit that can be easily built using off-the-shelf components. The proposed system is implemented using a commercial relay circuit connected to an FPGA board that is used to process and record the generated random sequences. Applying statistical testing on the experimentally generated sequences revealed a high degree of randomness, which proves its viability to modern applications, such as cryptography and communication system simulation and modeling.
Calibration of Stereo Pairs Using Speckle Metrology

The accuracy of 3D reconstruction for metrology applications using active stereo pairs depends on the quality of the calibration of the system. Active stereo pairs are generally composed of cameras mounted on tilt/pan mechanisms separated by a constant or variable baseline. This paper presents a calibration approach based on speckle metrology that allows the separation of translation and rotation in the estimation of extrinsic parameters. To achieve speckle-based calibration, a device called an Almost Punctual Speckle Source (APSS) is introduced. Using the APSS, a thorough method for the calibration of extrinsic parameters of stereo pairs is described. Experimental results obtained with a stereo system called the Agile Stereo Pair (ASP) demonstrate that speckle-based calibration achieves better reconstruction performance than methods using standard calibration procedures. Although the experiments were performed with a specific stereo pair, such as the ASP, which is described in the paper, the speckle-based calibration approach using the APSS can be transposed to other stereo setups.
LogSE: An Uncertainty-Based Multi-Task Loss Function for Learning Two Regression Tasks

Multi-task learning (MTL) is a popular method in machine learning which utilizes related information of multi tasks to learn a task more efficiently and accurately. Naively, one can benefit from MTL by using a weighted linear sum of the different tasks loss functions. Manual specification of appropriate weights is difficult and typically does not improve performance, so it is critical to find an automatic weighting strategy for MTL. Also, there are three types of uncertainties that are captured in deep learning. Epistemic uncertainty is related to the lack of data. Heteroscedas- tic aleatoric uncertainty depends on the input data and differs from one input to another. In this paper, we focus on the third type, homoscedastic aleatoric uncertainty, which is constant for differ- ent inputs and is task-dependent. There are some methods for learning uncertainty-based weights as the parameters of a model. But in this paper, we introduce a novel multi-task loss function to capture homoscedastic uncertainty in multi regression tasks models, without increasing the complexity of the network. As the experiments show, the proposed loss function aids in learning a multi regression tasks network fairly with higher accuracy in fewer training steps.
PENINGKATAN MOTIVASI BELAJAR PESERTA DIDIK DENGAN APLIKASI MATLAB SIMULINK DI SMKN 2 SIGLI

The problem that occurs at SMKN 2 Sigli is the learning process that has not used learning media in the form of application software, one of which is Matlab Simulink which can later simplify and increase the motivation of students in the classroom. This study aims to determine whether the introduction of the Matlab Simulink application can increase the learning motivation of students in class XI at SMKN 2 Sigli and to determine the response of students after the introduction of the Matlab Simulink application in class XI at SMK 2 Sigli. This type of research uses an experimental model with a quantitative approach. The population in this study were all students at SMK N 2 Sigli as many as 751 people. The sample in this study is class XI students, totaling 17 people, sampling using purposive sampling method. This research instrument includes observation and questionnaires. The results of observing the activeness of students using the Matlab Simulink application increased according to the criteria for the percentage of 92.85% (highly motivated). The results of the motivation of students as many as 52.54% who chose very well were included in the moderately motivated category and gave a positive response to the use of the Matlab Simulink application for class XI SMK Negeri 2 Sigli.
Real-Time Hand Gesture Recognition for Media Players

In this modern age of advancement in computing which has made the use of natural user interface much needed. Human gesture recognition is a mode of non-verbal interaction medium and can provide the most intuitive and natural way to interact with computer. The main aim is to make the interaction between human and computer as natural as the interaction between humans. The objective of this paper is to recognize the dynamic hand gesture images based on shapes and relative positions or direction of hand which is extracted from input video stream recording. These hand gestures can be used to recognition system to control multimedia applications running on computer using different gesture commands
Agropreneurship as a Sustainable Strategy for Economy Growth in Nigeria

Over the years, from the independence of Nigeria in 1960, Nigeria as a nation has been yearning for economic advancement to be named amongst the leading nations in Africa and the world as a whole.This longing over time has led to the decision of different administrations overtime to make various policies and decisions in a bid to simply and quickly eradicate poverty by improving the economy of the nation.The longing and search for quick solutions have caused instability in the continuity of growth of the nation and has led to poverty being on the steady rise in the nation.The nation has made agriculture to be its mainstream of the economy as it was the first means of economic advancement for her but it was soon abandoned due to the discovery of the fast and large income of the oil and gas sector.Due to the instability of this sector as a result of Nigeria's inability to refine the raw oil and due to the unstableness of the world oil and gas market, this sector has not been able to fulfill the desire of the nation to advance the economy.The feasible solution to this problem is to go back to the roots of our economy and begin to build again from the foundation.The nation would need to add value to her agricultural sector through the mechanization of the sector to boost export rates thereby increasing income and improving the means of living of the rural population.
PENGARUH MODEL PEMBELAJARAN 'COOPERATIVE SCRIPT' BERBANTU MEDIA BONEKA TANGAN BERSERI TERHADAP KETRAMPILAN BERBICARA SISWA

This study aimed to determine the effect of cooperative script learning model assisted by serial hand puppet media on the speaking skills of fourth grade students in Kedungumpul Village. The research was experimental research with the type of pre-experimental design. The samples taken for this study were 16 fourth grade students, whereas the sampling technique used is purposive sampling. The data were collected by using performance method which were then analyzed by using non-parametric statistical methods, namely the Wilcoxon test with the help of the SPSS version 25 program.The results showed that the cooperative script model assisted by serial hand puppet media had an effect on the speaking skills of fourth grade students in Kedungumpul Village. This is evidenced by the Wilcoxon test results obtained which is Asymp. Sig. (2-tailed) worth 0.000. The results of the pretest and posttest scores increased in average values, from 47.00 in the pretest value to 61.31 in the posttest value. The value 0.000 is less than 0.05. This means that the cooperative script learning model assisted by serial hand puppet media has an effect on students' speaking skills.
Strategy For Implementing Online Learning In Bengkulu

The purpose of this study was to describe the strategy for implementing online learning at Public vocational secondary schools Bengkulu Utara Regency. This research is a qualitative descriptive study. The research subjects were the principal, teachers, and students. Data collection techniques using interviews and documentation. The results showed that online learning strategies were implemented using a variety of methods between meetings using zoom meetings, video calls. giving assignments via WhatsApp, PowerPoint, youtube, and giving weekly assignments. While the obstacles lack of motivation to learn, lack of discipline in doing assignments, lack of understanding of the material, high parental credit costs, internet network disruption. Solutions made by schools increase teacher knowledge through training, teacher group discussion forums.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PADA BRASTAGI SUPERMARKET RANTAUPRAPAT DENGAN MENERAPKAN VIEWPOINT ORIENTED REQUIREMENT DEFINITION (VORD) BERBASIS WEB

Technological progress in the Millennial Era is very fast, especially in the business world, it has a very large effect. Information technology is currently growing in line with the needs of millennial children who want convenience. So every college wants to achieve a goal. So to achieve this goal, higher education institutions encourage to establish a Business Unit of the Faculty of Computer Science, Indonesian Methodist University (FIKOM UMI). Therefore we need a system that aims to improve the development of an entrepreneurial culture and improve the academic community. By overcoming these problems, a web-based millennial child accessories sales application was designed by applying the FCFS (First Come First Served) method. The millennial generation is currently a major player in the Indonesian economy. So in the business context, it is very important to understand the millennial character so that they can read product trends that are currently popular. One of the products that can show a person's character is accessories. The results obtained are intended to make it easier for customers to order and purchase a variety of accessories products and prioritize customers who are required to pay then the goods are sent and processed first. The system is built using the HTML and PHP programming languages, and the server uses Xampp and the database uses MySql.