Reviewerly/exHarmony huggingface dataset:
Implementation of Artificial Neural Networks with Learning Vector Quantization (LVQ) Algorithm for Detecting Fingerprint Characteristics

The purpose of implementing Artificial Neural Networks (ANN) with the Learning Vector Quanzition (LVQ) algorithm is to be used as a fingerprint identifier. So with this application can determine who owns the fingerprint in accordance with the database that has. In identifying fingerprints, the Learning Vector Quanzition method is very good, because it can measure the value of a fingerprint image that has been taken either by using a camera or scanner. In identifying fingerprints, it is expected that the fingerprint image input into the database should be from a photo or scanner that has clear and bright results, because this will affect the fingerprint search in the futures.
KESALAHAN BERBAHASA PADA MAKALAH MAHASISWA THAILAND UNIVERSITAS ISLAM DARUL ULUM LAMONGAN

This study aims to describe language errors in terms of spelling and effective sentences in Thai student papers at Unisda Lamongan which was carried out with a qualitative descriptive approach. The data sources of this study were obtained from Thai students, especially in the Department of Indonesian Language and Literature Education who studied at Unisda Lamongan, totaling five students. The collection techniques carried out by researchers are reading techniques and note-taking techniques. Data collection instruments using student papers and corpus data sheets. While the data analysis techniques used in this study were data selection, identification of language errors, classifying errors, analyzing data, and concluding the results. Based on the results of research conducted by this researcher, Thai students' papers at Unisda Lamongan found spelling errors, redundancies, incoherence, and illogicalities. Spelling errors, namely: (1) errors in writing capital letters and italics, (2) errors in writing prepositions in (3) writing errors in punctuation, including: (a) errors in the use of periods, (b) errors in the use of commas, (c) ) errors in the use of hyphens, and (d) errors in the use of question marks. Sentence redundancy, there is an excessive use of two conjunctions, the use of words have the same meaning, excessive use of the subject, and the use of formed words and their meanings. Incoherence in sentences, there is the use of conjunctions and excessive use of conjunctions about. The illogicality of the sentence, there is the use of words that cannot be accepted by common sense.
Production of COVID-19 vaccines in Brazil: major challenges in production and distribution capacity in a post-pandemic world

In a country like Brazil, with continental dimensions and a population of 215 million inhabitants, protecting so many people and eradicating or controlling diseases is a huge challenge.After the approval of the first coronavirus vaccine by the National Health Surveillance Agency (ANVISA) 549 million doses were distributed to all federative units.Proper communication with the population, informing the real benefits of the vaccine, its limitations and the importance of individual and collective protection is still a great challenge to be faced and trust in vaccines needs to be maintained at any cost, under penalty of putting at risk all achievements achieved in control and elimination and diseases worldwide.Strong coordination must be established between researchers, regulators, policymakers, funders, public health agencies and government, in order to ensure that vaccines continue to be opened in our country and provided to the entire population.
ORGANIZATIONAL ASPECTS OF STUDYING THE PROCESS OF MUSICAL AND PEDAGOGICAL TRAINING OF STUDENTS IN THE CLASS OF GUSLS OF VOICED MUSIC COLLEGE

ПЕДАГОГИЧЕСКИЕ НАУКИ (5.8.1, 5.8.2, 5.8.3, 5.8.7) УДК 372.
Development of E-Learning Learning Media for Class VII Informatics Subjects at Islamic Middle School Bustanul Hikmah Lamongan

Learning media development is essential because learning must continue to innovate so that education will continue to develop with the times. This study aims to describe, explain and analyze the development process, feasibility, and effectiveness of web-based e-learning learning media through blended learning methods for informatics subjects in junior high schools. This study uses the ADDIE development method through 5 stages. Qualitative data were obtained from interviews, input from validators, and documentation. In contrast, quantitative data was obtained from the results of student learning trials before and after using e-learning learning media through blended learning, which was analyzed using a feasibility test. The results of the development show that: (1) Produce website-based e-learning learning media through the ADDIE development stage, (2) The process of testing the feasibility of website-based e-learning learning media through validators of IT/media experts, material/content experts, learning design experts whose results are 95% very feasible and the results of the small group trial the results are also feasible to be tested, (3) The level of effectiveness in website-based e-learning learning media through blended learning can be seen from the feasibility value, the results of which are proven to be effective. This is reinforced by the results of the average value of the student response field trial of 85%. Students are more likely to like the website-based learning model through Blended Learning.
Design and implementation automatic prayer mat facing the Qibla in vehicle using microcontroller Arduino

When a Muslim has to pray on a vehicle that causes the Qibla direction to change as the vehicle turns direction. This study aims to create products that can be used by Muslims when praying in vehicles, which aims to facilitate and perfect Muslims when praying in vehicles. The research uses planning methods and experimental methods. The product resulting from this research is a tool in the form of a footing that functions as a place for praying. This product is controlled directly by Arduino Uno. By using GPS to determine latitude and longitude data, a digital compass to determine cardinal directions data, and a DC motor to adjust the degree of turning direction. The product test results consist of 3 instruments, namely Qibla correction, product quality, and customer satisfaction. In the Qibla correction test, the average result of 5 tests is 0.43%, and the majority of users are very satisfied and agree that this product has good quality. So based on this it can be concluded that a product has been created that can be used when praying in a vehicle. The product is of very good quality which means the tool can be directly applied to the vehicle.
Dampak Media Sosial terhadap Kegiatan Kesenian Mahasiswa

The purpose of this study was to describe the factors and impact of social media on art activities on art students in Lombok Timur. The method used is quantitative by survey analysis using questionnaires to collect data from 164 art students at universities in Lombok Timur. The results of this finding that the habit factor of students using social media dominates more, in addition to the intensity factor of watching art activities. On the utilization factor makes more art products, although the attendance factor at art activities directly also supports. The condition factor of society, namely religion dominates the use of social media in addition to language, art, and tradition. Location factor in accessing more at home than on campus, internet café or recreation place. The impact of social media shows that on student art activities are strongly influenced by the use of social media. The majority of students agree that social media does not damage student activities, besides social media is very instrumental in designing artworks, encouraging creativity and being a motivation to promote their work. Conclusions from this study are habit factors, influence factors, intensity factors, utilization factors, direct attendance factors, community condition factors, and factors where the use of media is very determining art activities by art students. Student art activities are strongly influenced by the use of social media and do not damage or interfere with student activities.&#x0D; Keyword: Arts activities, Students of Arts, Social media
A stylometric reading of William Wordsworth and W. B. Yeats’s poetry: Ambivalent cravings in romantic and modernist consciousness

What is peculiar about William Wordsworth and William Butler Yeats is that they represent two variants of the same type of consciousness. Their awareness of the world is linked to aesthetic appreciations. This paper explores this aesthetics with emphasis on the poets’ believe that art, specifically poetry, is an instrument of vision through which nature and humanity, can be appreciated and made perfect. While it is observed that very little has been written comparing Wordsworth and Yeats, this comparative critical assessment juxtaposes these self-seeking poets focusing on their ambivalent romantic yearnings. Stylometric methods with Voyant tools and “R-Stylo” are applied for quantitative and qualitative analyses of the poets’ ambivalent cravings. The question that runs through the paper is how both poets, in the context of periodization do, transcend their eras to establish visionary dimensions of the romantic quest. The results found in the analysis of both poets’s sublime consciousness display to a certain extent the representation of the artists’ contrasting moods. Such moods, however, reveal them as literary connoisseurs who transcended the boundaries of periodization and concentrated on cultural, historical, ideological and philosophical realities as means to rescue mankind from prolong affliction and psychical strain.
Metal mobilization during high temperature alteration of mafic-ultramafic rocks: implications for the metal sources of ultramafic-hosted volcanogenic massive sulfide deposits

Ultramafic-hosted volcanogenic massive sulfide (UM-VMS) deposits associated with mafic-ultramafic rocks show strong structural control and are located at or in the vicinity of low angle detachment faults, such as oceanic core complexes (OCC) in mid-ocean ridge environments.These deposits are variably enriched in precious (Au-Ag) critical (Co) and the base metals Cu, Zn, and Ni but the source of the metals enriched in the deposits remains poorly known.The Troodos ophiolite, Cyprus, and the ODP Hole 735B on the Atlantis Bank are investigated to better characterize the source of metals and the deposit genesis.The ODP Hole 735B recovers gabbroic rocks down to 1508 meters below seafloor (mbsf) and shows evidence for high temperature hydrothermal alteration in the upper 250 mbsf.There the rocks are significantly depleted in Cu and S and primary magmatic sulfides are absent, implying efficient metal mobilization.Similarly, the Troodos ophiolite shows evidences for relics of OCC with seafloor-related high temperature hydrothermal alteration and associated massive sulfide mineralizations.Within the western Limassol Forest complex in the Troodos ophiolite, the Dhierna main shear zone separates serpentinized ultramafic rocks from sheeted dykes.Here, massive sulfide mineralizations enriched in As, Au, Co, Cu and Ni are observed and are characterized by pyrrhotite, pentlandite, chalcopyrite, cubanite and cobaltite.Additionally concentrations of Au, Cu, Zn, Ni and Co in the peridotites decrease with increasing serpentinization towards the detachment fault also implying metal mobilization during hydrothermal alteration along the detachment fault.
Construction of High Quality Middle School English Classroom with "Double Reduction" Background

The problem of excessive course load in middle school has seriously affected the growth of students and education ecology. "Double reduction" is an important policy measure adopted by the country to solve this problem. This huge reform of compulsory education has aroused a warm response in the whole society since it was released. In this context, improving and guaranteeing the quality of classroom teaching in schools has become a hot issue of concern of the whole society. As a major subject in middle school, English is one of the three compulsory subjects in college entrance examination, and its importance is self-evident. Improving the quality of English classroom teaching is an inevitable trend in the development of English education in current middle school. In this regard, this paper attempts to explore the construction method of high quality English classroom in middle school from the perspectives of deep learning, stratified activities and in-class testing, starting from the focus on students' dominant position.
DETECTION OF SOURCE CODE IN INTERNET TEXTS USING AUTOMATICALLY GENERATED MACHINE LEARNING MODELS

In the paper, the authors are presenting the outcome of web scraping software allowing for the automated classification of source code. The software system was prepared for a discussion forum for software developers to find fragments of source code that were published without marking them as code snippets. The analyzer software is using a Machine Learning binary classification model for differentiating between a programming language source code and highly technical text about software. The analyzer model was prepared using the AutoML subsystem without human intervention and fine-tuning and its accuracy in a described problem exceeds 95%. The analyzer based on the automatically generated model has been deployed and after the first year of continuous operation, its False Positive Rate is less than 3%. The similar process may be introduced in document management in software development process, where automatic tagging and search for code or pseudo-code may be useful for archiving purposes.
A Survey of Software Metrics for Transitioning to an Updated Version of the Current Existing Framework or a New Framework

A software framework is an abstraction that allows to selectively updating software that provides generic functionality by adding additional code written by the user. Basically, a physical or conceptual structure is used to support or guide the construction of something that grows the structure into something productive. Many effective software teams start with frameworks as their foundation. Bundled code libraries, software modeling, APIs, and a myriad of other capabilities, which are included in these frameworks, make programming considerably faster and more effective. Therefore, software engineers often delve into various frameworks for development and other purposes. A survey has been conducted and opinions from teachers, students, and developers were solicited. This paper examines the results of the poll and tries to explain what software engineers, students, or seasoned developers experience when switching to a new framework in the middle of a project.
Applying the Data Center Infrastructure Management (DCIM) Tool to Enhance the Quality Management of the Data Centers by Decreasing the Unplanned Outage Reasons

All previous reports and practical life have proven that the human errors and devices failure are responsible for the unplanned outage of the data centers at a rate of up to 88%. And for this reason, it was important to find a way to reduce this percentage. In this study, we discuss how the Data Center Infrastructure Management system (DCIM) tool can reduce this percentage and enhance the management quality that helps to make most of the daily operations inside data centers run routinely and easily. So, the main target of this case study is finding that “if the Data Center Infrastructure Management (DCIM) tool can help to reduce the main reasons of the unplanned outage of the data centers and enhance the quality management The information technology industry consists of several stages, and one of the most important stages of this industry is to provide a safe environment for its devices where placed. A secure environment provides safety for devices, whereas providing the devices needs for cooling, clean electricity and information networks, etc. and this place should be secured from intrusions and natural disasters such as earthquakes and lightning strikes. This place is called Data Center. It contains many systems and devices to achieve the previous purpose of the data centers”.
PERANCANGAN TRACER/OUT GUIDE BERKAS REKAM MEDIS DI PUSKESMAS WOLIO KOTA BAUBAU

Design of trace/out guide Medical Record at Puskesmas Wolio, Baubau city in 2021 with research methods with a phenomenological approach. Based on the initial data collection which was carried out at the Wolio Health Center On june 5, 2021, the design of a tracer in the medical record filing section at the Wolio Health Center is very necessary in order to minimize the occurrence of Misfiles that oflen occur in the medical record filing section. The research objective is to design a tracer/out guide for medical record files that can be used at the Wolio Health Center, Baubau City. The subjects in this study were 3 medical record officers at the patient registration and filing department. The results of this study are the patient comes back then the officer looks for the register folder which turns out to be not there. Of the four tracer design drafts that have been designed for the chose a tracer design made from Poly Ethylene Terphthalate (PET) alternative 1 with consideration of the thin material so that it can be used on shelves that are full or solid and the material is elastic so that it can be used repeatedly in long period of time.
A Systematic Review on Image Data Protection Methods

Securing data is the main goal of any data security system (DSS). Valuable data must be protected all the time and stored in a very highly secure data storage device. This need has become more critical due to the continuous growth of data size. Furthermore, non-text data in the form of images, audio, and videos can now be transferred and processed easily and thus become part of sensitive data that needs to be protected. Since there is a need to secure and protect data in any form in order to keep them private and valid, it is expected that there would be many attempts already that have been proposed in the literature for this purpose. This paper reviews a group of these proposed strategies and methods that have been applied to different kinds of DSSs. Challenges and future trends of DSSs are also discussed. A number of main findings are grouped and organized as follows: (1) there are many different kinds of security techniques, each of which offers varying degrees of performance in terms of the amount of data and information that can be managed securely, (2) depending on the architecture of the proposed method, the tactics or strategies of the security system, the kinds of DSSs, as well as a few other factors, some methods are more appropriate for the storage of certain categories of data than others.
Crosston Tavern: Modulating Autonomous Characters Behaviour through Player-NPC Conversation

NPCs (Non-Player Characters) are a staple of video games, filling all kinds of supporting roles. This work seeks to flip that paradigm and place the player in the role of support for the goals of a small collection of NPCs enabling a new kind of AI-driven gameplay. Built on a world simulation where NPCs can take action according to their goals and knowledge of the world state and a conversation space in which the NPC is able to report their actions and exchange information with the player, this prototype AI-based game design explores a new player-NPC interaction in which player conversational actions indirectly influence the NPC simulation. In this paper we discuss the architecture, provide a design postmortem, and report the results of play testing.
Ferin Martino: A Small Piano Algorithm and Its Lessons on Creativity, Interaction, and Expression

The process of developing and making music with Ferin Martino, a piano-playing software algorithm has opened up a number of inquiries surrounding modern performance and creativity. Although it is relatively simple program, it is capable of much unique, expressive output that maintains a consistent style. Instead of constructing musical passages note by note, its musical character arises from its structure, independent of content. Recombination of previously-played material ensures that the first randomly generated notes end up yielding musically and stylistically coherent passages without compromising the variety of musical material produced. A flow of pseudorandom numbers is dis- turbed by motion in front of a camera, making the music responsive to its surroundings. Human-machine collaboration with this system has been effective in a variety of applications ranging from background music to computer-aided composition and live performance. A brief explanation of the algorithm is followed by ex- plorations of its resulting character; strengths and challenges; and perspectives it inspires on the relationships between humans and machines and on twenty-first century musicianship.
Correction to: Learning Through Interactive Vicarious and Social Experiences, an Alternative to Developing Teaching Training Processes in Ict Skills

In the originally published version of chapter 16 the names of the authors were indicated in a wrong format. The authors names have been revised as L. J. Rengifo-Arcos, L. F. Maldonado-Granados, and Y. A. Méndez Alegría.
Adversarial Learning Guided Task Relatedness Refinement for Multi-Task Deep Learning

In machine learning, the relatedness across multiple tasks is usually complex and entangled. Due to dataset bias, the relatedness among tasks might be distorted and mislead the training of the models with solid learning ability, such as the multi-task neural networks. In this paper, we propose the idea of Relatedness Refinement Multi-Task Learning (RRMTDL) by introducing adversarial learning in the multi-task deep neural network to tackle the problem. The RRMTDL deep learning model restrains the misleading relatedness task by adversarial training and extracts information sharing across tasks with valuable relatedness. With RRMTDL, multi-task deep learning can enhance the task-specific representation for the major tasks by excluding the misleading relatedness. We design tests with various combinations of task-relatedness to validate the proposed model. Experimental results show that the RRMTDL model can effectively refine the task relatedness and prominently outperform other multi-task deep learning models in datasets with entangled task labels.