Reviewerly/exHarmony huggingface dataset:
Exploratory Research Design in Management Sciences: An X-Ray of Literature

This study investigated exploratory research design (ERD) in management sciences.ERD is conducted when enough information is unavailable about a phenomenon.Though, ERD is employed by researchers to gain background information and is used to clarify research problems and hypotheses in order to establish research priorities.Meanwhile, in management sciences today, a research that is been qualified to be a good research design is considered as appropriate, efficient and economical, because it minimises bias in data collection (Jamia, 2016).Therefore, ERD emphasis on the main stage of research in order to achieve new insights into a phenomenon.The study exposed researchers in management sciences to exploratory research design as a means of making new discoveries due to the less rigorous methodological limits.The study thus, recommends for management sciences researchers to adopt multiple methods approach for data collection when conducing exploratory research.That is, the use of these three approaches for data collection, namely: interview, observation and survey, in order to meet the doctrine of ERD and to satisfy the researcher's curiosity as well as desire for better understanding of a phenomenon.
PERANCANGAN ILUSTRASI PADA BUKU ‘’MENJAGA KESEHATAN PARU-PARU’’ UNTUK ANAK USIA 8-10 TAHUN

This research work aims to develop information about healthy lifestyles to maintain the health of organs in our body namely the lungs in the form of illustrated books for the education of children aged 8-10 years and provide new alternatives in the delivery of information in teaching that is more attractive to children aged 8-10 years about how to maintain lung health and its cause impatct. The formulation of problem of creating this work is that the creator wants to make an interesting illustrated book, the media used in the work of this illustration book is print media. The method of creation of this work is carried out by literature study through books, the internet, and field studies, namely conducting interview with principals and teacher of SDN Karang Tengah 9 and asking questions about the lungs with expert namely lung specialist doctors. The conclusion of this work is illustrations that play an important role in children’s story book and become a very supportive element as well as the use of colors and typography that must be appropriate for their use so that children easily understand what the contents conveyed.
Techno-Economic Simulation of a Geothermal Energy Generation System at the Machin Volcano in Colombia

Colombian geothermal potential for power generation is interesting due to the presence of the three Andean mountain ranges and the existence of active volcanoes in junction with springs and underground reservoirs with the consequent closeness of available hydrothermal water-wells. The Machin volcano is a small mountain placed in the middle of the country, that has a considerable geothermal potential with wells in a temperature range of 160 to 260C. For that reason, a techno-economic simulation for a Geothermal Energy Generation System is proposed in this paper, using for that the System Advisor Model software. The purpose of this research is to present a more encouraging picture for public and private investors interested in exploiting this energy potential in Colombia. Simulation results include technical and economic aspects as annual and monthly energy production, geothermal resource monthly average temperature, and the Time Of Delivery Factors are also considered. Some tables with system configuration, plant and pump costs, Capacity Factor, and real and nominal Levelized Cost of Energy are also shown.
Research on the Teaching Model of Traditional Chinese Culture under the Internet Media

At present, the Internet media have a great impact on the educational pattern in China. Therefore, a targeted innovation and development is required for the teaching model of traditional Chinese culture to continuously improve the quality of the education. Given the significant reference meaning of Internet media on the teaching model of the traditional Chinese culture, the organic combination of the Internet and traditional Chinese culture is required to quickly improve the quality of the traditional Chinese culture education.
Linguistic Aspects of [Ninna-Nanna di Madonna] Part of the Calabrian Dialect Poem la Notte di Natale by Fr. Vincenzo Padula (1819-1893)

The aim of this article is to present a language analysis of one of the most beautiful dialectal poem of Fr. V. Padula. The dialect used by Fr. V. Padula is to be called the Acrian dialect (spoken in the city of Acri, Cosenza Province), which belongs to the group of northern Calabrian dialects. The lullaby [Ninna-nanna di Madonna], sung by Holy Mary, is the second part of the poem La Notte di Natale. No one ever was capable as Fr. V. Padula, to carry the Acrian dialect a such high summits of lyricism and piety. The Acrian dialect served him to know and testify the Calabrian society and culture. [Ninna-nanna di Madonna] includes in itself some biblical references to the main truths of the faith of Christianity.
A Legendre-Based Displacement Field for Two-Dimensional Digital Image Correlation

Two-dimensional digital image correlation (DIC) is one of the most commonly used measurement methods for displacement and deformation of specimen surfaces in the field of experimental mechanics.Since its presentation, DIC has been evolving with many new ideas and assets.This paper proposes a new displacement field, based on Legendre polynomials and compares it with conventional second-order polynomial, commonly used in DIC's method.
Acquiring Commonsense Knowledge during Collaborative Storytelling

Abstract Conversational agents that engage children in collaborative storytelling need a collection of domain knowledge to formulate its responses. However, the current manual processes of collecting, annotating and extracting data from a corpus of unstructured text is time-consuming that often impedes the population of a knowledge base. An alternative is to design the agent as a teachable peer that can continuously learn from its human users. In this paper, we describe a storytelling agent that can expand its domain knowledge base by learning new assertions from its story-based conversation with children. We also use conversations as a means of validating the acquired knowledge. Results showed that the agent can achieve a recall value from 83% to 94% in extracting capabilities, property and instance relations while encountering difficulty in identifying assertions that describe the location of story events. Analysis of the conversation logs showed that the performance of the agent is affected by how children describe the characters and events in their stories.
Design and Implementation of Solar Tracker on Solar Panel

Energy is the necessity having utmost importance, also is a priority factor for the development of modern era countries. Current time calls for the bulk of energy supply as various nations are on the verge of the energy crisis, RE (Renewable Energy) resources like wind systems, solar panels, and tidal wave, etc. are the best options available in the current era for energy supply. The most abundant resource of RE is the solar system which is available from the sun itself. The sun is the source of sufficient energy supply and it can be used throughout the year. Electricity generation due to the reduction of fuels is the biggest challenge that will have adverse effects to be faced in the upcoming future. Electricity generation via solar energy is costly. Energy from PV (Photovoltaic) cells depends on solar insulation. Maximum energy extracted from the sun by the plane of the solar collector should be normal to incident radiation. Improving efficiency by the change in design then implement on solar tracker system to collect maximum solar power extraction with the association of the panels and the sun itself. The system tracks the maximum intensity of light by adjusting the panels to normal to incident light. The sun tracking system uses four light-dependent resistors used as a sensor for finding a brighter point in the sky. Rotating DC Motor can be controlled via signal and data processing based on micro-controller, by doing so the performance parameters of this system are now dependent on features such as solar radiation, hourly electrical power, the maximum gain of energy, additionally short circuit and open circuit current are compared with the fixed-tilt solar collector.
PROFIL MOTIVASI BELAJAR SISWA WITHDRAWAL SMPN 1 SUCINARAJA

The purpose of this study was to determine the profile of students' motivation withdrawal at SMPN 1 Sucinaraja. Students withdraw or break away are students who show escape, both attention or interest in the social environment. The sampling technique in this study used a nonprobability sampling technique with a sample of 51 students. Researchers interested of SMPN 1 Sucinaraja. Based on the results of the study It is expected that students' motivation in SMPN 1 Sucinaraja is in the medium category with the distribution of students 2% withdrawal has a very low motivation to learn, 33% of students who have learning withdrawal by learning in the low category, 29% of orangutans who have the ability to learn in the medium category, 35% of school people have the motivation to learn in the very high category and none of the students who have the motivation to learn the category is very high. Of the four aspects of learning motivation used in data mining, the aspect of confidence is the lowest aspect of student motivation in withdrawal at SMPN 1 Sucinaraja.Keywords: Learning motivation, Withdrawal Students of SMPN 1 Sucinaraja.
Pressure Effect on Humidity Diffusion through Polyester/Glass Fiber Composite in Sea Water

The hygrothermal behavior of the polyester/glass fiber composite is studied under the effect of the pressure in sea water. Fillers additives Aluminum Silicate Pigments are inserted to the composite material. Humidity absorption is made through one lateral side, under different temperature. The humidity concentration is higher on the surface and it continuously decreases toward the core of the material. At high temperature, the humidity absorption curve falls. It is caused by the coalescence of cracks propagating through the composite material, which are created by the stress concentration at a point of the free volume existing in the material. The rise of the percentage of the fillers additives and the pressure induces an augmentation of the diffusion coefficient and the amount of absorbed humidity. The finite element method is utilized to present a numerical model of the humidity absorption process. The comparison between numerical and experimental results confirms that the hygrithermal behavior of the polyester/glass fiber composite could be numericallypredicted.
Linguistic Features and Generic Structures in Discussion Writing: A Case Study at Politeknik Negeri Media Kreatif

What kind of linguistic features and generic structures do the students of Politeknik Negeri Media Kreatif use in their discussion writing? This study aims at analyzing the linguistic features and generic structures found in the students’ writing. The SFL Theory of Genre covering linguistic features and generic structures by Gerot and Wigmel is used to analyze the data. The study uses the descriptive qualitative research method and analyzes the writing of the students who have learned how to write discussion essay. The finding is that the dominant linguistic feature of all the texts is the generic human and non-human participants. All students follow the rules of writing: the generic structure, the arguments for, the arguments against and the conclusion or recommendation. The students have put all linguistic features in their discussion writing.
The Roaming History of Library Storage

The George A. Smathers Libraries has a more than 60 year history of utilizing remote storage. Throughout that time, there have been drastic changes in how storage has been managed. It has historically been a somewhat opportunistic endeavor, utilizing facilities designed for other purposes and acquiring and renovating spaces as funding allowed. This article will highlight efforts by the George A. Smathers libraries to store materials remotely, with a particular focus on the 1990s on. Details of the Florida Academic Repository, including the funding proposals, shared print retention developments, and current status will be discussed. Looking back over the history of storage at UF, the George A. Smathers Libraries has invested substantial effort and money in trying to resolve these space issues, most notably with the FLARE legislative proposals. The inability to secure that funding certainly has impeded progress, but FLARE has found other ways to be an important partner in the storage and shared print movement.
DERIVATIVE MARKETS-USING OPTIONS TRADING STRATEGY IN MONGOLIAN STOCK MARKET

This study identifies some opportunities to introduce derivative instruments based on the practical experience of other countries, and provides some estimates of the implementation of derivative market mechanisms, pricing, and trading strategies. KEY WORDS: Financial derivative, option, and spread
Building Recommendation Systems Using the Algorithms KNN and SVD

&lt;p&gt;Recommendation systems are used successfully to provide items (example:&lt;br /&gt;movies, music, books, news, images) tailored to user preferences.&lt;br /&gt;Among the approaches proposed, we use the collaborative filtering approach&lt;br /&gt;of finding the information that satisfies the user by using the&lt;br /&gt;reviews of other users. These ratings are stored in matrices that their&lt;br /&gt;sizes increase exponentially to predict whether an item is interesting&lt;br /&gt;or not. The problem is that these systems overlook that an assessment&lt;br /&gt;may have been influenced by other factors which we call the cold start&lt;br /&gt;factor. Our objective is to apply a hybrid approach of recommendation&lt;br /&gt;systems to improve the quality of the recommendation. The advantage&lt;br /&gt;of this approach is the fact that it does not require a new algorithm&lt;br /&gt;for calculating the predictions. We we are going to apply the two Kclosest&lt;br /&gt;neighbor algorithms and the matrix factorization algorithm of&lt;br /&gt;collaborative filtering which are based on the method of (singular value&lt;br /&gt;decomposition).&lt;/p&gt;
IMAGE DENOISING: A COMPARATIVE STUDY OF VARIOUS WAVELET APPROACHES

Image denoising is a major tricky in image processing. The main determination is to quash noise from the degraded image while keeping other details of the image unchanged. In recent years, many multi-resolution based approaches have attained great success in image denoising. In a nut shell, the wavelet transform provide an optimal representation of a noisy image, including a signal with information from a limited number of coefficients and noise by all other left over coefficients. The most popular way to eliminate noise is to threshold the noise affected wavelet coefficient. The noise affected wavelet coefficient shrinkage is better, only if the threshold value is properly selected. Therefore, the performance of various wavelet based denoising techniques depends on the estimation of the threshold value. Different techniques are available to find the threshold value. The aim of this study is to discuss denoising schemes based on various wavelet transforms using threshold approach. Hence, this article examines the research article with threshold selection based on spatial adaptivity, sub-band adaptivity and also hybrid methods with multi-resolution wavelet structures.
Formation Of Abilities And Skills In Measuring Activity In Preschoolers

This article is devoted to clarifying the goals and objectives of teaching mathematics in the preparation of future educators in preschool education. It describes the methodology of using interactive methods in teaching mathematics based on the competence-based approach for the formation of skills and abilities in measuring activity in preschool children.
Psychometric properties of the scale: perception of the information and communication technologies for Knowledge Management

The objective of this research is to discuss the psychometric elements of reliability and validity on a measurement model that determines the perception on information and communication technologies for knowledge management in organizations. The scale is based on 6 questions and 2 structured factors in a Likert-type scale, with 5 answer options. It was applied to 337 small and medium companies with diverse specialties within the building field in the state of Campeche. The results of the exploratory and confirmatory factor analysis show an adequate fit and the reliability values are also satisfactory (χ2 = 24.97, p = .002, SRMR = .01, AGFI = .93, TLI = .97, CFI =. 98, RMSEA .07 IC90 [.04-.11]; α = .88), thus confirming the empirical strength of the model. It is concluded that the scale is valid and reliable for use in the context studied.
Alternative N-bit Key Data Encryption for Block Ciphers

Post-encryption patterns are cribs that can be used by adversaries to unlock the encryption key both in symmetric or asymmetric cryptography, compromising security. Different methods to mitigate the problem, with their advantages and disadvantages, can be found in the literature, including one-time pad encryption, code-based cryptography and cipher block chaining. This work presents an alternative technique to generate an n-bit, n-block and key cipher that can be derived from reasonable short length key. The proposed technique is able to mitigate post-encryption patterns. Experimental results asserting the capabilities of the proposed cipher techniques are presented and discussed in the text.
METODE DAN TEKNIK PEMBELAJARAN PELATIHAN MENJAHIT PADA WARGA BELAJAR HETEROGEN DI UPTD PELATIHAN KERJA KOTA BENGKULU

This research was descriptive qualitative research aimed to describe the sewing training implementation for heterogeneous learning citizens methods and techniques of learning. Participants in this study were heads of administrative sub-sections, instructors and sewing training citizens learning. This research was conducted at UPTD Bengkulu Work Training on 10 to 31 March 2020. Data collection was carried out through interviews, observations and documentation. The data were analyzed and validated using triangulation data validity technique. From research results, the sewing training instructors apply lecture learning methods, question and answer learning methods, discussion learning methods, demonstration learning methods, group teaching learning methods and individual teaching learning methods. The instructional methods applied by instructors to heterogeneous learning citizens was different, namely by applying group teaching methods with participatory coaching learning techniques. Keywords: sewing training, learning citizens, heterogeneous.
Deep neo-fuzzy neural network and its learning

Optimizing the learning speedof deep neural networks is an extremely important issue. Modern approaches focus on the use of neural networksbased on the Rosenblatt perceptron. But the results obtained are not satisfactory for industrial and scientific needs inthe context of the speed of learning neural networks. Also, this approach stumbles upon the problems of a vanishingand exploding gradient. To solve the problem, the paper proposed using a neo-fuzzy neuron, whose properties arebased on the F-transform. The article discusses the use of neo-fuzzy neuron as the main component of the neuralnetwork. The architecture of a deep neo-fuzzy neural network is shown, as well as a backpropagation algorithmfor this architecture with a triangular membership function for neo-fuzzy neuron. The main advantages of usingneo-fuzzy neuron as the main component of the neural network are given. The article describes the properties of aneo-fuzzy neuron that addresses the issues of improving speed and vanishing or exploding gradient. The proposedneo-fuzzy deep neural network architecture is compared with standard deep networks based on the Rosenblattperceptron.
Tentative Analysis of News from the Perspective of Interpersonal Metafunction

News reports as a special genre are not reliable and credible as we imagine. They do not only report news facts, but also express some kind of attitudes which will influence readers’ judgments. According to interpersonal metafuction ，it is possible to dig up the reporters’ or speakers’ ideology in discourse analysis through modal verbs, modal auxiliaries, modal adjectives, modal lexical words, sometimes through tenses.
EMPLOYEE JOB SATISFACTION THROUGH WORKING CONDITIONS (A STUDY WITH REFERENCE TO SELECT PUBLIC SECTOR BANKS IN THE COASTAL REGION OF ANDHRA PRADESH)

Job satisfaction is a complex concept that is influenced by many factors. The aim of this paper is to analyze the impact of working conditions to job satisfaction. For that purpose, the empirical research has been conducted in select banks. The study has analyzed the various reasons for choosing select public sector banks among the various banks, the working condition of the select bank employees with the level of job satisfaction among the various group of respondents. The study has tested the with the help of Percentage analysis, Chi-square, ANOVA, and Multiple Regression. All the chi-square, ANOVA, and Multiple Regression tested at 5% level of significance. This paper is focused on the observation of the importance of working conditions to employees’ job satisfaction KEYWORDS: Employees, Banks, Working Conditions, Job Satisfaction, Need, Objectives, Methodology, Analysis, Findings and Suggestions.
Frame Processing for Gesture Recognition Using CNN

Augmented reality requires integration of real-world objects, gestures and actions with the virtual objects.Effective and realistic integration requires solving the complex task of recognition, classification, tracking of objects, gestures and actions, where gesture recognition and action mapping is an active problem in the field of augmented reality, seeking attention for optimized latency, power and throughput.This paper introduces the technique of frame processing with active tile identification to optimize the latency of Convolution neural network in the light of action mapping in augmented reality.The effectiveness of the technique being introduced is evaluated by applying it to the Bharatanatyam Mudra classification and measuring the obtained latency, power and throughput and comparing the obtained results with that of the traditional Convolution neural network.The comparison shows the technique to be effective in terms of the latency, with the best effectiveness factor of 2.30 and least being 1.25.
Klasifikasi Data Antroprometri Individu Menggunakan Algoritma Naïve Bayes Classifier

With the development of advances in computer technology today, most companies and organizations need a decision support system based on information systems, where the information is generally stored in the form of documents / text that is not structured. In this regard, a system for text management that is integrated with the decision support system is needed. One of them is the use of text data classification for anthropometric case studies of several samples. Anthropometry is a measurement of a person's body dimensions. The object of research is gender, first name, and height of a person. The research aims to determine the ratio of the number and height probability level of the number of men and women based on the input into an application using the Naïve Bayes Classifier method. The implementation design uses the Python programming language. The results showed that the height classification data frequency of women was more than the height classification data for men. And the number of height probability of a woman's body is greater than the number of height probability of a man's body.