Reviewerly/exHarmony huggingface dataset:
Pengaruh Minat terhadap Prestasi Belajar Siswa di Madrasah Ibtidaiyah

The Influence of Learning Interest on Student Achievement at MI Mathla'ul Anwar 05 Cigudeg, Bogor Regency, a survey research with a functional associative quantitative approach. The research aims to: 1) find out the data on the level of interest in learning at MI Mathlaul Anwar 05 Cigudeg, Bogor Regency; 2) find out data on student achievement at MI Mathlaul Anwar 05 Cigudeg, Bogor Regency; 3) determine the effect of interest in learning on student achievement at MI Mathlaul Anwar 05 Cigudeg, Bogor Regency. Research data were collected using questionnaires and documentation techniques. The research instrument used a questionnaire for interest in learning and for student achievement using the general score for Indonesian language subjects. The data analysis technique used a simple linear regression test and the interpretation of the data was carried out in a deductive narrative. The results showed that there was a significant correlation between variable X (interest in learning) and variable Y (student learning achievement) of 0.618. The significance level obtained is 0.000 which is smaller than = 0.050 (one-tailed test), so Ho: = 0 is rejected. Thus, because the significance of 0.000 is smaller than = 0.050 (one-tailed test or one-tailed test), then Ho : = 0 is rejected. This means that there is a significant relationship between interest in learning and student achievement at MI Mafthaul Anwar 05 Cigudeg, Bogor Regency. The form of a simple linear regression equation is obtained = 53.686 + 0.275X. Based on the value of R square, the regression equation can be explained that 38.2% of the variance of student achievement at MI Mafthaul Anwar 05 Cigudeg Bogor Regency can be explained by changes in learning interest. Regression (functional relationship) variable interest in learning with learning achievement statistically with a value of F = 29.635 significant at degrees of freedom k = 1 and n - k - 1 = 48, and P-value = 0.000 which is smaller than = 0.05. Thus, testing the hypothesis Ho:β1=0 against H1: 1≠0 based on the ANOVA table, Ho is rejected because P-value = 0.000 which is smaller than = 0.050. This means that there is a significant effect of interest in learning on student achievement at MI Mafthaul Anwar 05 Cigudeg, Bogor Regency.
Color correction and dynamic range expansion of underwater images based on light field technology

Compared with images taken in the air, underwater images are susceptible due to the adverse effects of complex water conditions, such as absorption, attenuation, scattering, various noises, and uneven lighting, etc. These effects severely reduce the quality of underwater imaging and give rise to many problems among which is image color distortion. To fully acknowledge the underwater scenes, it is important to acquire the images with accurate colors, especially for marine rescue, underwater target recognition, and marine ecological research. To address this problem, this paper proposes an underwater imaging technology based on a light field camera array. The application of this technology can not only perform accurate color correction processing on the captured images but also expand the dynamic range of underwater images, thereby obtain enhanced high-quality, true-color underwater images. The experimental system in this paper contains a 3*3 camera array that simultaneously captures images of underwater targets with different exposure times. As the light attenuation coefficient of different wavelengths in water varies with the wavelength, during the color restoration process, we measure the relative value of the underwater spectral power distribution concerning the air, calculate the tristimulus value change according to the colorimetric principle, and convert the tristimulus value change in the CIEXYZ color space to the CIE La*b* color space. The color on the underwater images obtained by the camera array is then compensated. Then, in the image fusion process, images with different exposure are used to recover the response function of the imaging process, and multiple images are fused into a single, high-dynamic-range radiance map using high quality tone mapping technique in the radiance value dynamic display high-contrast images on devices with limited range. Experimental results show that our light-field imaging color correction and dynamic range expansion processing methods have obvious advantages over single cameras in underwater color correction and underwater moving target imaging detection, which provide advanced technology and equipment for underwater in-situ applications.
Detection of Normal/ Abnormal Kidney Images by Using Artificial Neural Network with Fire Fly Algorithm

Ultrasound (US) imaging is used to provide the structural abnormalities like stones, infections and cysts for kidney diagnosis and also produces information about kidney functions. The goal of this work is to classify the kidney images using US according to relevant features selection. In this work, images of a kidney are classified as abnormal images by pre-processing (i.e. grey-scale conversion), generate region-of-interest, extracting the features as multi-scale wavelet-based Gabor method, Fire Fly (FF) for optimization and Artificial Neural Network (ANN). The FF-ANN method is simulated on the platform of MATLAB and these results are evaluated and contrasted. The outcome of these results proved that the FF-ANNN had 100% specificity and 94% accuracy. By comparing it with the existing methods, the FF-ANN achieved 0% false-acceptance rate.
Artificial God Optimization

Nature Inspired Optimization Algorithms have become popular for solving complex Optimization problems. Two most popular Global Optimization Algorithms are Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). Of the two, PSO is very simple and many Research Scientists have used PSO to solve complex Optimization Problems. Hence PSO is chosen in this work. The primary focus of this paper is on imitating God who created the nature. Hence the term "Artificial God Optimization (AGO)" is coined in this paper. Artificial Gods are the basic entities in Artificial God Optimization (AGO).&nbsp; AGO is a new field which is invented in this work. A new Algorithm titled "God Particle Swarm Optimization (GoPSO)" is created and applied on various benchmark functions. The World's first Hybrid PSO Algorithm based on Artificial Gods is created in this work. GoPSO is a hybrid Algorithm which comes under AGO Field as well as PSO Field. Results obtained by PSO are compared with created GoPSO algorithm. A list of opportunities that are available in AGO field for Artificial Intelligence field experts are shown in this work.
Patent Protection Plan for AI Creation

Today's AI invention refers to cases where data preprocessing, such as data structures for learning which process collected data, learning model definitions required for learning, physical implementations, physical implementations performed by applying Deep Learning learning programs, and derived learning completion models (AI-based SW) are implemented in computer-like hardware in algorithmic form, and these AI inventions satisfy the establishment of invention and are included in a target to be patented. However, input data are input into the learning completion model (AI-based SW), and the AI creation in that the AI creates by the input data is not patentable because it is not the human invention but the invention generated by the AI, which is non-natural, under the current patent law. Therefore, there is a problem that the AI technology is not sufficiently patent-protected under the current patent law. In particular, there is various problems: (i) whether the AI creation created by the AI can be regarded as an invention created by humans (natural people), (ii) countries around the world recognize only humans as inventors, whether the AI can be recognized as an inventor, (iii) whether there is a way to recognize the AI as an inventor, (iv) whether there is a way to solve the problem of authority and duty as a rightful person, responsibility for exercise of rights, etc. that may arise if the AI is recognized as an inventor. In this article, we considered the revised plan of the Patent Act to include AI-generated creations as targets to be patented. As a result, the definition of invention under Article 2 of the Patent Act 1 will be specific to human inventions, such as Article 101 of the US Patent Act, and If there is a substantial &quot;human contribution&quot; for AI to create, not an artificial act of humans, the revised plan is needed to introduce AI-generated AI creations and definitions of AI inventions on the premise of that &quot;human contribution.&quot; For those who are eligible for patents, it is needed to introduce a regulation in Article 33 of the Patent Act stating that the inventor for AI creations is to be the human on the premise of &quot;human contribution.&quot
Debit Puncak Harian Tahunan Metode HSS Nakayasu dan Debit Terukur di DAS Muke Kabupaten TTSS SERVICES-CURVE NUMBER DAN DEBIT TERUKUR DI DAERAH ALIRAN SUNGAI MUKE KABUPATEN TIMOR TENGAH SELATAN

The Muke River is prone to flooding. flooding is caused by conversion in land use due to the migrating plantation system. In the Muke river, it is necessary to analyze the discharge estimation to determine the potential of water in the Muke river. In this study, the authors performed peak discharge calculation using measured calculation model and calculate. Measured calculations using discharge’s curve and calculated by using hydrographic method of synthetic unit namely Nakayasu. The results of the analysis for the calculation of discharge on the Muke river using the discharge curve obtained that the peak discharge occurred in 2012 with Qmax = 99.41 m3/s and the smallest discharge occurred in 2010 with Qmin = 13.19 m3/s, the results of the analysis for the calculation of discharge on the Muke river using the Nakayasu method obtained peak discharge occurred in 2010 with Qmax= 184.74 m3/s and the smallest discharge occurred in 2014 with Qmin = 94.33 m3/s.
Four Dimensions (Video and Simulations)

So far we have described various ways that a sender could depict two-dimensional and three-dimensional scenes using images and simplified mathematical models. These are adequate for representing still scenes, but what if the sender wants to describe a scene that changes over time?
Fringe projection profilometry with phase-coded optics

Fringe projection profilometry (FPP) is a commonly used tool in the three-dimensional (3D) measurement of diffuse objects in reverse engineering, products online detection, medical diagnosis, etc. However, due to the limited depth-of-field (DOF) of projection-imaging lenses, the contrast of captured sinusoidal fringes will decrease with the increase of defocus, which affects the high-precision acquisition of axial 3D topography. Although the lenses can be designed based on Scheimpflug principle or double-telecentric optical path to extend the DOF, some problems such as off-axis aberration, fixed magnification and limited field-of-view are still existing. To overcome the aforementioned drawbacks, FPP with phase-coded optics is proposed in this paper, where the captured sinusoidal fringe patterns are modulated effectively and the projection-imaging DOF of the system is greatly extended. Experimental results demonstrate the effectiveness of the proposed technique.
The “Disembodiment” of the Personality in the Context of Virtual Culture

The article is devoted to the problematization of the virtual life in the aspect of embodiment in the context of the total digitalization of social and personal relationships. These problems have become especially noticeable due to isolation during the COVID-19 epidemic. The category of the Virtual Other proposed in the work. It is the result of the personality's activity in virtuality and the specific object of its relations at the same time. The virtual and subject-figurative spaces of a person's life are proposed as additions in the development of the Life topology model (E.B. Starovoytenko). A special problematic of the person's life activity is revealed in these coordinates. An analysis of articles and reflective notes that appeared in the wake of the global self-isolation of 2020, as well as a number of other sources on the current topic of digitalization, allows us to focus the formulated problems within three spheres of personal activity: communication, activity and personal relationships. Possible causes of Zoom fatigue are discussed. We analyze psychological distortions as a result of unnatural communication in Zoom - everyone is simultaneously looking at me (or not?), And I continuously see myself among others. The psychological consequences of washing out the body from the virtualized activity are considered: the activity becomes exhausting, dissatisfaction with the work done appears, the sensitivity to one's own psychological boundaries is lost. Realization of relations in virtual space makes communication with the Other disembodied and continuous and excludes the most important pauses in which an internal dialogue with the Other develops. Along with the real, bodily Other and the reduced “inner Other”, the “virtual Other” develops, which should become the subject of psychological research. Virtuality is a new, little-developed space of individual life. So far, it is limitless, invasive and excluding corporeality. At the moment in culture there are no formed ways of personal development of the virtual space and the resolution of contradictions generated by personal activity in it.
Comparative Study of Blockchain Techniques in Electronic Voting System

Building an electronic voting system that fulfils the legal requirements, improves the security, and decreases the cost of hosting elections has been a difficult task. Blockchain technology offers a wide variety of solutions from which we can benefit from. The purpose of this report is to highlight our proposal to solve problems related to voting by using the blockchain technologies. The report starts by outlining the problems related to the current voting system, then a brief explanation of blockchain technology and its pros, cons and uses. The main section of the report discusses the different methods of electronic voting system based on blockchain and their limitations. The final section of this paper concludes the position of the blockchain voting system in today's world.
Μεταγλωσσική διερεύνηση της σημασιολογικής διαφάνειας στα μετονοματικά παράγωγα της κοινής νεοελληνικής

This paper examines effects of certain linguistic and extra-linguistic factors on semantic transparency, with regard to denominal suffixation in Standard Modern Greek. We conducted three semantic relatedness rating tasks with overall 566 word pairs and 240 participants. The analyses by items, i.e. correlation of semantic transparency ratings with standard deviations, as well as effects of familiarity, frequency, and morphological family size, imply a dichotomous metalinguistic account of semantic transparency. On the other hand, the analyses by participants revealed significant effect of faculty type, with participants from the Humanities having higher rating and familiarity scores than participants from other faculties.
Parameter Optimization In Support Vector Regression Using Grid Search Optimization In Predicting Currency Values

Currency Values is cryptocurrency which known has high price fluctuation. The more volatile the price of an investment, the higher the risk of investors gain losses. That principle also follows in Currency Values. In order for investments to avoid losses and gain profits, there needs a method that can be used to predict the price of Currency Values accurately. In this study, a Currency Values price prediction was carried out based on Currency Values data obtained in the past (time series forecasting) using the Support Vector Regression (SVR) method. The data used is weekly Currency Values price data from January 2018 to March 2020. Currency Values price data is nonlinear, so the Radial Basis Function kernel is used. The SVR parameter model is optimized using the Grid Search Optimization. The objective of this research is to get the accuracy of the SVR model by looking at the MAPE value which obtained. The results showed that the MAPE value obtained was 10.738% with the parameter values of C = 5, ? = 0.004, and ? = 0.07. The MAPE value indicates that the predicted results that obtained are categorized as good prediction results
When is the Right Time to Apply Denoising?

Remote sensing data is contaminated with different types of noise that can severely affect the analysis of this data. Generally, in modern treatment chains of satellite and aerial data, denoising techniques are applied to atmospherically corrected images prior to further analysis (e.g., classification). However, since the noise contaminates the measured radiance at the sensor, it can influence the atmospheric correction in itself and consequently the remaining of the processing chain. In this paper, we compare the performance of a denoising technique, when applied before or after atmospheric correction. Our observations challenge the current de facto paradigm of denoising in a processing chain of spaceborne and airborne remotely sensed images.
The Consequences of Knowledge Hiding Behavior in Organizations: A Systematic Literature Review

This study aims to provide a systematic review regarding the consequences of knowledge hiding in the organization by ascertaining, synthesizing and evaluating theoretical, methodological and empirical dimensions of other works in the field. Design/methodology/approach: applying systematic review methodology to present the current consequences of knowledge hiding behavior in organizations. Findings: all of the studies indicated that knowledge hiding behavior hurts organizational performance and develop unhealthy working environments. Limitations/ implications: this systematic review is designed only to present a conceptual synthesis of existing works. A meta-analysis to an empirical study to obtain a more detailed framework is encouraged. Originality/value: this study contributes to organizational behavior literature by identifying the consequences of knowledge hiding, presenting the different methodological frameworks used to establish the relationships between knowledge hiding and their consequences, and to introduce the gaps for future researches.
Corpora and L2 acquisition: the L1 Portuguese – L2 Spanish subcorpus of CEDEL2

This paper presents the L1 Portuguese – L2 Spanish subcorpus of Corpus Escrito del Español L2 (CEDEL2), a new methodological resource for second language acquisition (SLA) research, which is freely searchable and downloadable (http://cedel2.learnercorpora.com). CEDEL2 is a large-scale, multi-L1 learner corpus of L2 Spanish which contains written productions from learners at all proficiency levels as well as 6 native control subcorpora (total size: over 1,100,000 words from over 4,000 participants). CEDEL2 follows strict corpus design criteria (Sinclair, 2005) and learner corpus design recommendations (Tracy-Ventura &amp; Paquot, 2021a). In its current version (CEDEL2 v. 2), its Portuguese component includes an L1 Portuguese – L2 Spanish subcorpus, with 21,662 words written by 164 participants, and an L1 Portuguese native subcorpus, with 3,500 words from 16 L1 speakers of European Portuguese. Thanks to their design features (e.g., same design across subcorpora, inclusion of metadata about SLA-relevant variables, dual native control subcorpora) and freely available web interface, CEDEL2 and its Portuguese subcorpora allow researchers to investigate a wide range of topics in SLA.
16 JURUS PENULISAN JURNAL

Journal writing, particularly international journal writing, is fraught with difficulties, and just a handful Esa Unggul University authors have been accepted into prestigious publications. The goal of this document is to assist authors, researchers, and lecturers in determining the best writing technique for breaking into these publications. Survey quest was used to determine whether or not the trainees had grasped the material. The technique for determining if the training was understood was to ask 51 Esa Unggul lecturers survey questions. This course will cover 16 different approaches to construct journals, including 1) journal selection. 2) Downloads of journals 3) Before being directed to the desired journal, examine and read many journals. 4) Citations account for 80% of the total, whereas books account for 20%  4) Citations account for 80% of the total, whereas books account for 20%. 5) There should be at least 20 references, and no more than 30% of the references should be cited. 6) Citation of the most recent and highest-ranking journals, from well-known and legitimate publishers, as well as well-known authors like Foucault and others. 7) Identification of issues that occur as a result of reading the journal 8) Decide on research methods 9) Choose a title (2 W + 1 H) 10) Read the journal's writing rules and, most crucially, the journal's writing style. 11) the structure of the writing 12 Pay attention to the manner of writing 13) the significance of keywords, abstracts, and the problem's background 14) the selection of Scopus and international journal rankings 15) evaluation by peer groups 16) English interpreter Keywords: scopus, international journals, writing style
Determinación del calor específico del mineral laterítico mediante el método de calorimetría diferencial de barrido

To evaluate, design, or characterize any thermo physical process such as drying, the homonymous properties of materials involved in such process are decisive. Until now, in researches carried out on drying lateritic mineral, properties that are not specifically of this material have been used, therefore, in the present study its specific heat is established for temperature ranges between 20oC to 100oC and moisture concentrations of 3% and 37%. To this purpose, experimental technique called differential scanning calorimetry was used, in which it was obtained that the specific heat varies between 0.459 and 0.902 kJ / kg.oC for sample with 3% humidity and 1.169 to 1.456 kJ / kg.oC for samples with 37% humidity. In addition, equations that correlate the variation of specific heat as a function of temperature and humidity are established.
Stimulating Interactive Apps in Conserving Batik Block Pattern

Batik is a Malaysian culture where the motif and pattern represent our identity and cultural heritage.People prefer to dress elegantly and simply in contemporary society.Additionally, the current batik pattern lacks a robust Malaysian identity.The traditional element also struggles to develop a local identity due to the lack of a descriptive document describing the Malaysian design.This research aims to identify traditional Malaysian batik patterns and develop an interactive application that will aid in the preservation of Malaysian culture and heritage.This study collected data through a review of contextual documents, in-depth interviews, and online survey questionnaires by establishing that Malaysian batik contains numerous patterns that all Malaysians must preserve as part of the country's heritage.Our finding shows that the proposed batik apps have the potential to increase Malaysians' awareness of batik patterns while also contributing to the preservation of culture and heritage value.Individuals can use the app to search for information about batik easily.Furthermore, for the Jabatan Warisan Negara, which is part of the Ministry of Tourism Malaysia, the app will act as a medium for promoting one of Malaysia's cultural and heritage treasures, Batik design.
Motion sickness susceptibility and anxiety/depression may influence the ability to update orientation in the horizontal plane in healthy subjects

To assess the ability to update orientation after passive rotations in the horizontal plane of young and middle-aged adults, considering individual factors.