Reviewerly/exHarmony huggingface dataset:
Human Face Generation using Deep Convolution Generative Adversarial Network

The Generative Models have gained considerable attention in the field of unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to its outstanding data generation capability. Many models of GAN have proposed, and several practical applications emerged in various domains of computer vision and machine learning. Despite GAN's excellent success, there are still obstacles to stable training. In this model, we aim to generate human faces through un-labelled data via the help of Deep Convolutional Generative Adversarial Networks. The applications for generating faces are vast in the field of image processing, entertainment, and other such industries. Our resulting model is successfully able to generate human faces from the given un-labelled data and random noise.
Towards Integrating the Gene Ontology and the Hierarchical Bayesian Network Classification Model: An Empirical Case Study

Data Mining (DM) is knowledge-intensive process that can be significantly enhanced by integrating the domain knowledge. Recent research claimed that ontology can play various roles in the DM process. Additionally, ontology can facilitate different steps in the Bayesian Network (BN) construction task. To this end, this paper investigates the advantages of consolidating the Gene Ontology (GO) and the Hierarchical Bayesian Network (HBN) classifier in a flexible framework which preserves the advantages of both ontology and Bayesian theory. The proposed Semantically Aware Hierarchical Bayesian Network (SAHBN) classification model introduces a flexible framework that systematically consolidates domain knowledge in the form of ontology and the DM process. Furthermore, it establishes a solid foundation to explore the possibility of integrating more comprehensive ontological knowledge in the DM process. SAHBN is tested using three datasets in the biomedical domain to predict the effect of the DNA repair gene on the human ageing process. DNA repair genes are classified as either ageing-related or non-ageing related based on their GO biological process terms. Overall, SAHBN classifier shows a very competitive performance compared with the existing Bayesian-based classification algorithms. SAHBN has outperformed existing algorithms in more than 50% of the implemented experiments. Six performance criteria were used to evaluate the performance of the proposed SAHBN model.
An Automatic Contrast Validation Approach for Smartphone Themes

The smartphone themes submitted to the themestore are first evaluated by human experts to ensure a pleasant visual experience1. One of the main challenges in smartphone themes evaluation is to validate the contrast of the elements of the theme. Contrast refers to the difference in visual properties that makes an object distinguishable from other objects and the background. In this work, we propose an automatic themes evaluation approach that validates the contrast of Android smartphone themes among regular and non-regular at the element level. To localize the contrast affected regions, the proposed themes evaluation is divided into two phases: 1) Element extraction; and 2) Contrast evaluation. For element extraction, a customized framework is created that utilizes native Android frameworks. Following, these elements are analyzed by using a specifically designed Convolutional Neural Network (CNN) for smartphone theme elements contrast evaluation. The proposed approach is evaluated on two databases which are composed of using the real Android themes. Experiments suggest that our proposed contrast-detection network can obtain a better performance than the known state-of-the-art classification methods, in smartphone themes evaluation, based on evaluation measures like Accuracy, F1 score, processing time and others.
Lecture about Electronic Microtonal Music at the Theremin Center Electronic Studio of the Moscow Conservatory in March 2004

Joseph Pehrson is a well-known New York-based composer. He studied at the Eastman School of Music and the University of Michigan. He has been active in promoting contemporary music in New York, having been a co-director of the “Composers’ Concordance” concert organization from 1984 to 2011. Pehrson has written music in various styles, including neoclassical and avant-garde, microtonal music. The latter includes electronic compositions with and without solo instruments, which he wrote in the decade of the 2000s. He has delved very deeply into microtonal theory and has written compositions for various unusual and non-standard microtonal scales, such as the 21-note to the octave scale. The following is a transcript of Joseph Pehrson’s presentation at the Theremin Center, which was the Moscow Conservatory’s electronic studio in the 1990s and 2000s.
Noise Analysis of a Portable Aeromagnetic Surveying System Using a Hybrid UAV

Summary A capable and light-weight aeromagnetic surveying system is invariably preferred because of its cost-effectiveness, low personnel risk, and so on. However, developing such a system requires a solid understanding of noise from the platform on which it is built – an unmanned aerial vehicle (UAV). Therefore, we investigate static and dynamic noise from a hybrid UAV. The static noise from the platform is discontinuous leading to the spiky 4th difference due to radio transmission and cultural noise in the vicinity, whereas the dynamic noise is mainly due to the attitude of the aircraft, which can be reduced by proper aeromagnetic compensation. Consequently, the high noise level requires some painstaking effort to improve the current design of the system, such as increasing the distance between the magnetic sensors and sources of interference.
APPLICATION OF SNOWBALL THROWING LEARNING MODEL TO IMPROVE STUDENT LEARNING OUTCOMES IN CLASS 4A SUB THEMES I LOVE TO READ AT SDN CUKIR 1 YEAR ACADEMIC 2019/2020

The purpose of this study is to describe the improvement of student learning outcomes in class 4A sub-themes I love reading through the application of snowball throwing learning models at SDN Cukir 1 school year 2019/2020. This research uses Classroom Action Research (CAR) which includes several stages namely planning, action, observation and reflection. Data collection techniques were obtained from test results, observations, documentation and interviews. The results of increased learning outcomes through the application of snowball throwing learning models have increased from pre-cycle, cycle 1 and cycle II. Presentation of student learning completeness pre cycle by 21%, in cycle 1 has increased by 60% and in cycle II has increased with high criteria that is equal to 100%. The improvement was also seen in the average value of students in the pre-cycle average value of students 6.73, in cycle 1 it became 7.32 and in cycle II it increased again to 8.87.
Experimental Realization of Spin Liquids in a Programmable Quantum Device

The advent of widely available computing power has spawned a whole research field that we now call computational physics. Today, we may be on the cusp of a similar paradigm shift as programmable qubit devices enable one to run experiments on a platform of actual physical quantum states. Here we use the commercially available D-Wave DW-2000Q device to build and probe a state of matter that has not been observed or fabricated before. The topological phase that we build has been widely sought for many years and is a candidate platform for quantum computation. While we cannot observe the full quantum regime due to the limitations of the current device, we do observe unmistakable signatures of the phase in its classical limit at the endpoint of the quantum annealing protocol. In the process of doing so, we identify additional features that a programmable device of this sort would need in order to implement fully functional topological qubits. It is a testament to technological progress that a handful of theorists can observe and experiment with new physics while being equipped only with remote access to a commercial device.
Investigating the Role of Stakeholders in Agile Information Systems Development Projects: A Mixed Methods Approach

Agile information systems development (ISD)strives for a high amount of interaction between the agile team and stakeholders to ensure that high quality software within commonly defined project goals is produced.The literature has acknowledged that agile ISD significantly changes the work of team members.How do agile practices affect the work of stakeholders?Unfortunately, little theory exists to answer this question.This paper addresses this gap by investigating the effect of agile practices on stakeholders' job satisfaction.Adopting a mixedmethods approach, we use a review of the literature with an exploratory case study to develop the theoretical model, which was evaluated with a survey among stakeholders in agile ISD projects.We contribute to agile ISD literature by providing empirical evidence on stakeholders' job satisfaction and highlight the relevance of interaction and collaboration between team members and stakeholders in agile ISD projects.
Dati iniziali sulla reduplicazione linguistica nella lingua letteraria vigatese: la reduplicazione degli aggettivi tra diegesi e mimesi

The article presents the results of research on linguistic reduplication in Vigatese, the literary language invented by writer Andrea Camilleri.This is an aspect of Camilleri's storytelling that is often noted by scholars but that has not yet received a dedicated study.The research is conducted on the corpus of 101 texts starring Salvo Montalbano-composed of 29 novels and 72 short stories published between 1994 and 2020-within which about 300 different reduplication forms and more than 2,200 total occurrences have been recorded.Here, the data on the expressive reduplication with adjectives are given: 64 forms with 379 total occurrences analysed for different literary scales, at sentence level and paragraph level.The collocations within the corpus, the possible spelling variations, and whether the use is in mimesis or diegesis are restored.The methodological approach is of a mixed-methods nature: a digitally assisted text analysis (DATA) following the concept of scalable reading (Mueller, 2014) follows the traditional close-reading analysis.A second analysis of the data on the diegetic and mimetic axis was carried out.The results obtained were then used for a data-driven comparison conducted on the corpus of all of Giovanni Verga's narrative works.These initial results show that three out of every four reduplications are a diegetic recurrence.Despite the extensive use of mimesis in the texts, the true orality of Camillerian storytelling seems to reside elsewhere.This research is part of a broader study of all narrative texts under the general hypothesis that the formal equivalents of the writer's popularity are to be found in the repetitiveness that was originally, and perhaps too hastily, criticised.
Pelatihan Multimedia Interaktif Bagi Guru Guru SMP Negeri 1 Karangawen Demak

One of the technological innovations so that learning becomes conducive, interactive, interesting and can help teachers make evaluations of students to use the Kahoot platform. Kahoots are in the form of game applications, quiz choices, or opinion surveys and public opinions of students or institutional members conducted online through a web browser. The problem with partners is that the teachers of SMP Negeri 1 Karangawen, Demak Regency still need refreshment in making interactive multimedia. The methods applied in this service program are the presentation methods, demonstration methods, and practice methods. The presentation method was applied in the introduction of Kahoot software, ProProfs, Prezi of its usefulness, and its application in making interactive learning media, Demonstration Methods regarding program operationalization and Practice Methods where teachers directly practiced making instructional media in accordance with their respective subjects using Kahoot programs, ProProfs, Lectora, and Prezi
Pengembangan Sistem Informasi E-Lelang Kendaraan Motor Second Pada FIF Group Kota Bandar Lampung

Abstract-Â FIF group is one of company that moves in financing motor vehicle in the city Bandar Lampung .One of the activities done by FIF group is conducts an auction motor second .To bid process are needed a system information based information technology .The object is to expanding access auction which makes it easy for those interested in to follow auction motor second in FIF group city Bandar Lampung .Â E-lelang information system second a motor vehicle developed with the methods eXtream program. Used is a design usecase diagram, class diagram and activity diagram. Programming language used to auction development application in adobe dreameweaver, HTML MySQL databaseÂ Â support.Â The end result of development this is a system e-lelang a motor vehicle second in FIF group city Bandar Lampung. With the system e-lelang will ease the FIF in doing bid process and will facilitate the public or company want to join the an auction in the end would increase performance parties FIF group city Bandar Lampung .Â Â Â ABSTRACTadjektiva: abstract, notional, noetic
Comparative study of Image Classification Algorithms

This investigation analyzed five common machine learning techniques for performing image classification included Support Vector Machines (SVM), K-Nearest Neighbor (KNN), Naïve Bayes (NB), Binary Decision Tree (BDT) and Discriminant Analysis (DA). AlexNet deep learning model was utilized to fabricate these machine learning classifiers. The structure classifiers were executed and assessed by standard execution models of Accuracy (ACC), Precision (P), Sensitivity (S), Specificity (Spe) and Area Under the ROC Curve (AUC). The five strategies were assessed utilizing 2608 histopathological pictures for head and neck cancer. The examination was directed utilizing multiple times 10-overlay cross validation. For every strategy, the pre-trained AlexNet network was utilized to separate highlights from the activation layer. The outcomes outlined that, there was no contrast between the consequences of SVM and KNN. Both have the equivalent and the higher accuracy than others were 99.98 %, though 99.81%, 97.32% and 93.68% for DA, BDT and NB, separately. The current examination shows that the SVM, KNN and DA are the best techniques for classifying our dataset images.
Effect of Sentence Length in Sentiment Analysis Using Support Vector Machine and Convolutional Neural Network Method

Based on Article 10 paragraph 1 of Law No. 14 of 2005, a teacher must have four competencies: pedagogical, personality, social, and professional. ICT training at Sunan Kalijaga State Islamic University involves instructors as educators who must have such competencies. An instructor's performance is assessed through students' learning evaluation system by giving comments to the instructions. These comments contain positive and negative sentiments that can be reviewed by conducting sentiment analysis. Research related to sentiment analysis in recent years has been widely done, but researchers rarely pay attention to the effect of sentence length from the dataset on the method's performance. This study tried to analyze sentiment related to sentence length effect on ICT training student comments using Support Vector Machine and Convolutional Neural Network methods. This study concluded that the sentence length on the dataset would affect the SVM and CNN methods' performance when combined with Word2vec. While the SVM+TFIDF method performance is not affected by sentence length, this method has the fastest process time than other methods. The CNN+Word2vec method produced the best performance in this study with a value of 0.94% accuracy, 0.95% precision, 0.96% recall, and 0.95% f1-score.
The Model of Development of Aesthetic Competence of Future Educators of Preschool Education Institutions

The article is devoted to the characteristics of the structural model of development of aesthetic competence of future educators of preschool education institutions. The concepts «model», «modeling» are revealed. The own definition of the concept «structural model of development of aesthetic competence of future educators of preschool education institutions» is offered. The characteristics of the target, methodological, organizational, semantic, activity, result-evaluation blocks of the author’s model are represented.
Development of Learning Methods Midwifery Emergency Clinical Skills

Students who take Midwifery Emergency Clinical Skills Course will have the opportunity to have skills in mastering some aspects of competencies needed in management related to obstetric emergencies.This research combines qualitative and quantitative research.The results of the study showed that there were mean differences between student learning outcomes in the Midwifery Emergency Clinical Skills course in the class 2015 and class 2016 with ρ value = 0.001.Qualitatively, data / information has been obtained from students that provide an overview of students' responses to the action of developing learning methods which has been done.Development of learning methods can fell up the learning outcomes of graduates by uniforming the abilities / competencies possessed by clinical instructors and students.
Hyperspectral Image Classification Using CNN12

Convolutional neural networks (CNNs) have showed their dominance in hyperspectral image classification (HIS) where spectral embedded with spatial features have provided means for excellent database training when the application is image classification.Different scaling with context of number of layers in efficient neural networks has been the recent topic of research where attention aided and not aided machine learning algorithm have being the elementary topic of vigilance.We have in the paper highlighted an attention seeking CNN 12 layer algorithm that is utilized for efficient labeling the prime aspect of image classification.The raw image provided as input to the network extracts the relevant features in a way that joining feature map created provides better results in terms of accuracy.The frame work created utilizes the available sets of images and compares the parameters that will help in making the algorithm robust and fine tuned with respect to required hyper parameters.The linear transformation that is the main advantage of CNN architecture has made the system more reliable unlike the rule based feature extraction and classification frameworks.In this paper the three dimensional input utilization helps us solve the overfitting problem that is a byproduct of exhaustive layering during training.The way the three dimensional input is handled in terms of CNN 12 layer convoluting is the simple nonlinear function that is the key aspect of this research paper to improve accuracy.
CHOOSING A PROFESSION AS A MODELING OF THE YOUTH FUTURE (BASED ON SOCIOLOGICAL RESEARCH)

The most important resource in forming human capital is, certainly, the youth, whose mission is not just to reproduce, but also to develop, improve, and update the existing social system. In the article authors are trying to find answers to the following questions: How do contemporary youth see their future? How does this image correlate with the socio-economic challenges facing contemporary society? What help do young people need in the course of professional self-determination? The answers to these questions should be taken into account when developing strategies for the effective use of the human capital of today’s youth. Based on the results obtained, the authors conclude that it is necessary to typologize behavioral strategy models in the future professional self-determination of young people.
Online English Vocabulary Teaching Using Kahoot! for Students with Special Needs

The purpose of this research is to increase the English vocabulary of students with special needs. One of the online learning platforms use in this research is Kahoot!. The research subjects were SLB D YPAC Semarangstudents who were members of the Y-EClub Semarang. The research method used descriptive qualitative. The results of the research are the members of Y-Eclub SLB D YPAC Semarang using Kahoot! in learn English. They were able to catch the English vocabulary. Conclusion of this research is that Kahoot! as the internet-based platform is an effective medium in English teaching so that students could memorize English Vocabulary.
Pengukuran Online Trust Building Mechanism Terhadap Repurchase Intention Menggunakan Metode Apriori pada Marketplace Tokopedia

In measuring consumer purchasing patterns it is still difficult for sellers to recognize so as to reduce the level of sales of sellers on the marketplace.Moreover, this purchasing pattern can be used as a reference to improve the sales strategy.Therefore, it is necessary to measure the mechanism of consumer purchase that can potentially make repeated purchases.This problem can be solved using the Apriori method measurement.In this case study has 9 criteria that are well organized, Easy to get the information needed, Very good display, Trustworthy, Clear, Complete, Very helpful / caring, Safe, Comfortable, can be collaborated using Apriori method so that the interconnectedness between criteria makes the process of measuring consumer purchasing patterns easy.The result of this measurement produces two rules, namely If choose C5 then choose C8 with support 87% and confidence 152% and If choose C5 then choose C6, C7 with support 87% and confidence 152%.So it can be known that the benefits of this measurement seller or seller can prioritize C5, C6, C7, C8 where the criteria are Clear, Complete, Very Helpful and Safe.
PENGELOLAAN ARSIP DOKUMEN KEPENDUDUKAN PADA DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KOTA PARIAMAN

Archives needed to be managed properly because archives have a very important role for the life of an institution/organization so that if there were someone who needed them, the archives could be provided quickly and accurately. The objectives of this research were to analyze the management of population document archives at the Department of Population and Civil Registration of Pariaman City in connection with the creation, arrangement, storage, and discovery of archives; to analyze the obstacles in managing the population document archives; and to formulate the solutions (efforts) that could be done in overcoming problems or obstacles encountered by the archive manager. This was a qualitative research. The finding of this study indicated that the current management of population document archives at Pariaman City was not optimal and has not been implemented properly so that the management system needed to be improved. It was necessary to establish a Standard Operating Procedure (SOP) in the field of archiving so that activities for archiving could be well controlled.
ANALISIS KEMAMPUAN BERPIKIR KRITIS MAHASISWA PENDIDIKAN FISIKA SEMESTER 3 TENTANG PEMANFAATAN TEKNOLOGI SOLAR CELL TERHADAP LINGKUNGAN

This article aims to analyze students' understanding of the purpose of solar cell technology. Because the role of students is very important in developing one of the renewable energies that is solar cells. There are still many people who have not seen other benefits from the sun, as well as ways to use solar energy for other processes, such as the use of solar cells in households and so on. Most of humans have not seen other ways and benefits of solar energy. So that to socialize the use of solar cell technology, students need to understand how important solar energy is as a renewable energy and how to use it. The method used in this study used quantitative descriptive, with the sample of 2019 class of physics education students.Keywords: Solar cell, Environment, Renewable.
Why Care about Virtual Landscapes? Immersive open world gaming related to positive health

For some reason many people enjoy, spend long hours and pay for being out on virtual fields, playing an avatar that needs to hunt, prey, hide, survive and interact with all kinds of programmed entities and online players.Surely the designers