Reviewerly/exHarmony huggingface dataset:
Art framework for the industrial revolution 4.0

The Industrial Revolution 4.0 (IR 4.0) had an impact on the form of art production and the art industry itself, eventually having huge implications for all of society and all aspects of life, including economy, education, and politics.The arts community needs to be aware and view the very broad framework of inter-art relationships and how IR 4.0 took place so that the production of the work is more relevant, up-to-date, and progressive.Several documents were reviewed to identify the dynamic framework of art within the IR 4.0.Art framework related to the IR 4.0 is detailed with components of the artist as co-creator, hybrid types of production, and attributes of a super smart society.Several key points should be referenced by humans so that they can be further prepared, better equipped, and more realistic for society 5.0.
RAM-VO: A Recurrent Attentional Model for Visual Odometry

Determining the agent's pose is fundamental for developing autonomous vehicles. Visual Odometry (VO) algorithms estimate the egomotion using only visual differences from the input frames. The most recent VO methods implement deep-learning techniques using convolutional neural networks (CNN) widely, adding a high cost to process large images. Also, more data does not imply a better prediction, and the network may have to filter out useless information. In this context, we incrementally formulate a lightweight model called RAM-VO to perform visual odometry regressions using large monocular images. Our model is extended from the Recurrent Attention Model (RAM), which has emerged as a unique architecture that implements a hard attentional mechanism guided by reinforcement learning to select the essential input information. Our methodology modifies the RAM and improves the visual and temporal representation of information, generating the intermediary RAM-R and RAM-RC architectures. Also, we include the optical flow as contextual information for initializing the RL agent and implement the Proximal Policy Optimization (PPO) algorithm to learn a robust policy. The experimental results indicate that RAM-VO can perform regressions with six degrees of freedom using approximately 3 million parameters. Additionally, experiments on the KITTI dataset confirm that RAM-VO produces competitive results using only 5.7% of the input image.
Features of the study of the informational space concept in modern philosophy

Social-philosophy is looking for answers to many contemporary issues. There are many changes in the world. One state in the face of development, while other state is collapsing. Despite that fact, there are still developing countries. As the state develops, different issues will arise. The main development of the society is a time indicator. Moreover, the concept of time and space is parallel. Therefore, existences in space and relationship form an informational environment. There is a common problem of modern information space. The world’s people live in an informational space without borders. After all, the Internet has become a global network. Although, each country has its own information space, we find that a broader view of the information space has not been fully explored yet. Then, is the information space unlimited and at the global level? The information space is therefore the centerpiece of today’s information society. It is alarming that we use different types of TV and radio, cellular communications, virtual conversations with each other through social networking, and consciousness to digital technology. Information is updated at the every moment, not even in an every hour. Traditional media – this is losing for speedy media, that sends poor, fake information. This is also the current problem of information space in the media world. Therefore, the article provides the basic concepts of the systematic methodology of this information space and the methods used as tools to study the information space. Key words: information space, information society, information systematization, virtual communication.
TEACHERS’ STRATEGY IN TEACHING WRITING BY ONLINE APPLICATION AT MTS N 2 MEDAN

This study discusses the strategies that teachers use when learning through online applications. This investigation raises the main problem, namely "what strategy is used by the teacher". The purpose of this study was investigate what types of strategies used by teachers in learning to write through online applications at MTs N 2 Medan. This research was conducted in class eight and nine grade at MTs N 2 Medan. This study used a qualitative descriptive method and collected data through documentation and interviews. The framework proposed by Hamruni (2011). The Analyze data in four steps: 1). Data Collection, 2) Data Condensation, 3) Data Display, 4) Conclusion and Drawing / Verification. Applications carried out by researchers at school use the Whatsapp application. Based on the findings, there are three strategies used by the two teachers when teaching online at MTs N 2 Medan. Namely, direct teaching strategies, cooperative learning strategies and problem-based strategies. Although not very specific, with theory, it can be said that the two teachers used three of the four theories. Although not very specific, with theory, it can be said that the two teachers used three of the four theories. In addition, the researcher also found that teachers at MTs N 2 Medan taught using descriptive text, where there were 4 types of teaching processes used by teachers through online applications, namely namely, Planning, Drafting, Editing and Final Version for teacher A, and Planning, Compilation, Editing, Final Version.Keywords: Teacher, Strategy, Teaching, Writing, application.
Retraction: Driving Top Sliding Helmet with Better Air Ventilation Using Embedded System (J. Phys.: Conf. Ser. 1916 012222)

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

Early cancer diagnosis plays significant role in improving patients’ survival rate. One essential step in early breast cancer diagnosis is to detect metastasis in lymph nodes through analyzing the hematoxylin and eosin (H&E) stained histopathology slides. Whole-slide images (WSIs) have been widely used to identify the normal and tumor cells, even more in localizing the malignant lesions. However, examining extra-large WSIs (e.g., 20 GPixels) would impede the diagnosis process. Current implementation of deep convolutional neural networks (CNNs) has shown its accomplishment in medical image analysis. In this study we compare performance several state-of-the-art CNNs models as feature extractor and combined with conditional random field (CRF) on the top as a framework to detect cancer metastasis in WSIs. Due to the extremely large size of the WSIs, every slide is segregated into numerous small size patches and perform the classification process on each patch independently. The results show that adding the CRF will improve the probability maps of patches predictions.
ALT Speech Recognition System using F0 Improvement and Spectral Tilt Method

Human Beings use voice as the medium for communication. Human Speech is a very complex signal with multiple frequencies, amplitudes and intensities that mix up to convey specific information. In international terminology, voice disorders are described as dysphonia. Various dysphonia’s are clearly organic origin due to nervous, muscular, neuro or cellular degenerative disease affecting the body or it is from local laryngeal changes. Other dysphonia’s having no visible laryngeal causes are grouped as non organic involving habitual dysphonia’s that arise from faulty speaking habits or the psycho genic dysphonia’s that stem from emotional causes. This paper looks at a speech recognition system for disordered speech generated by Physically Disabled people using Artificial Larynx Transducer (ALT) device from the perspective of Speech Signal Processing. From the ALT speech features like formant, pitch and spectral tilt is estimated. For formant frequency estimation RNN technique is used. Before training the system pitch frequency improvement is accomplished. Now the features and homomorphic based coefficients are used for training the system. The same operation is performed during the test phase and compared with the training set. Comparison and decision making is accomplished using distance estimator.
Postcolonial Studies: Hybridity and the Dominance of Whites over Blacks in American Poetry

This study aims to reveal the postcolonial issues contained in poetry I, Too by Langston Hughes and Incident by Countee Cullen. Both authors of these poems are figures from black people in America. The method used in this study is the qualitative method and literature study approach with the aim of exploring, describing, and understanding how the hybridity and dominance of whites over blacks in American poetry. The data source of this study is the words and phrases in both poems. The data containing postcolonial: hybridity and mimicry in the poems were characterized and analyzed using Homi K. Bhabha's theory (2007). Bhabha in his thinking tries to provide a "middle space" between the colonizer and the colonized. Bhabha states the concept of a “middle space” as a time-lag. This space is an intercultural space where personal and communal self-defense strategies can be developed. All of these cultural expressions and systems are built in a space called the “third space of enunciation”. Interestingly, the issue of hybridity that occurred a century ago has not completely gone in a better direction. The proof is that at the beginning of the first semester of 2020 there was an incident of violence against blacks by whites which caused a massive demonstration that led to the creation of a movement group called Black Lives Matter. This study uncovers how bad the treatment of white people towards black people is that the position and social stratifications between them are different.
Foreign Language Course For Doctoral Students At Technological University

The paper presents the experience of Kazan National Research Technological University in developing new Foreign Language Course content for doctoral students conducting research in the field of Chemistry and Engineering.Nowadays, doctoral education aims at training researchers who will possess both hard and soft skills required for solving complex scientific tasks at Russian and international levels.One of the problems of engineering education in Russian universities is the lack of special courses providing soft skills.Therefore, we need to update the content of the existing courses to meet the requirements of the new scientific generation.The authors propose the new content of the English language course developed according to the analysis of the best international practices in developing doctoral programs.The course focuses on developing such communicative skills as academic writing and speaking.These skills are essential for successful dissemination of research results by doctoral students.The interdisciplinary approach, based on the cooperation of research supervisors of doctoral students and professors from the Department of Foreign Languages for Professional Communication, was applied to combine the content of special research courses and the Foreign Language Course.Such cooperation resulted in individual approach to training doctoral students in accordance with their specific research.
NCCLight: Neighborhood Cognitive Consistency for Traffic Signal Control

Multi-agent reinforcement learning (MARL) is gradually becoming an attractive research field of adaptive traffic signal control (ATSC).Nevertheless, in a multi-agent environment, some inherent disadvantages exist, such as the partial observability and non-stationarity caused by the constantly changing decision-making strategies of agents, which have been extensively researched but remain challenging.Herein, NCCLight, which is a fully scalable decentralized MARL model built around an independent advantage actor-critic (IA2C) under the background of ATSC, is rationally designed and validated to offer a feasible approach to realizing communication and coordination between multiple agents.In addition, guided by cognitive consistency theory, the constraint of neighborhood cognitive consistency (NCC) is constructed to achieve communication and coordination between multiple agents.More significantly, cognitive consistency theory is employed in MARL for ATSC for the first time, which is validated by a large number of experiments on both real and synthetic data.We hope that this work can serve as a pioneering reference owing to the better performance of NCCLight than of the most advanced ATSC based on MARL.
Development of Picture Book-Based Teaching Learning Media to Improve Student Learning Outcomes on Khulafaur Rasyidin's Material

The development of teaching media in the form of a picture book of Khulafaur Rashidin material aims to increase the effectiveness of student learning outcomes. The researcher used the Research and Development method to determine the effectiveness of teaching media in a picture book of Khulafaur Rasyidin's material. Researchers used two types of data, namely quantitative data and qualitative data. The validation results from the development of this picture book have valid criteria for content experts with an average score of 4.22 in the good category, media design experts with an average score of 3.7 in good category, and subject experts with an average score of 4.1 is in a good category. And in the application of learning in the field (in class) the average pre-test score is 45.7, and the post-test average is 79.1, which, if calculated using the paired sample T-test statistic, has a t-count result of 6, 53 and has a t table result of 2.160, so the total t-score results are more significant than the total t-table scores, which means H1 is accepted and H0 is rejected.
Penggunaan Media Gambar Berbasis Kepedulian Lingkungan Sebagai Pengembangan Bahan Ajar Teks Deskripsi Dengan Menggunakan Metode Think Talk Write Untuk Tingkat SMP Di Kota Semarang

ABSTRACTThis research was conducted using the Research and Development (R&amp;D) method adopted from Sugiyono which includes the following steps: 1) Preliminary Study, namely literature study and field study, 2). Development Studies, including: (1) initial product design, (2) design corrections from experts, (3) design revisions, (4) limited trials, (5) Focus Group Discussions (FGD), and (6) product revisions .The results of the expert / expert validation assessment show that the overall percentage obtained is 84.4% or if converted into criteria or categories gets the predicate worthy of being tested. After being validated, the learning media was tried out in the school under study and got the grade IV teacher's assessment in the two schools, the results were that the feasibility of presenting learning media for teachers got a score of 94%, while the results of student responses got a score of 95.7%, if converted into criteria or the category gets the predicate worthy.From the data above, it can be concluded that the developed teaching materials are categorized as suitable for use in learning activities. Use of Image Media Based on Environmental Concern for the Development of Teaching Materials Text Description Using the Think Talk Write Method can provide a fun new atmosphere for students so that students are motivated to participate in learning activities. Keywoards: Teaching Materials, Media, Pictures, Environmental Concern, TTW
ENGLISH LEARNING MEDIA BASED ON LOCAL WISDOM FOR TEACHING WRITING DESCRIPTIVE TEXT

One of the learning models offered to overcome writing difficulties is a learning media based on local wisdom. Local wisdom is basic knowledge obtained from everyday life. This model will make students interested and like writing activities because it was close to their daily life. Social function or communicative approach of descriptive text is to describe a particular person, place, or thing in detail or clearly. This research was conducted through Classroom Action Research. Classroom Action research is about working towards practical outcomes, and also about creating new forms of understanding. In this research, learning media based on local wisdom has a good impact on improving students' ability to write descriptive texts, including that students can understand several local cultures that are close to their lives so that they can preserve the culture more broadly. This English learning media based on local wisdom can be the effective technique and it could be used as the alternative way in teaching writing because the technique was easy to be implemented and it was the one of interesting technique which very closed to the students’ learning activities
IMMEDIATE PROSTHESIS:

The immediate total prosthesis is a device made before the exodontia and is installed soon after the accomplishment of the same ones. Faced with a situation in which the patient encounters the remaining condemned teeth, many resist to remain edentulous while awaiting the healing phase for the manufacture of a conventional total prosthesis; thus, the total immediate prosthesis becomes an ally in these cases, promoting the return of aesthetics, phonetics, chewing and social coexistence. Through a literature review, this work aims to clarify the pertinent issues of the immediate total dentures, where they were presented their classifications, advantages and disadvantages, indications and contraindications, technique of making this prosthetic device, besides post-installation care. Searches were made in the databases Scielo, Medline, Bireme, Google academic, Capes and books; using the key words: immediate total prosthesis; immediate oral rehabilitation; oral surgery and selected articles between the years 2009 to 2019. It was possible to conclude that the advantages of the rehabilitation with immediate prosthesis are very evident, being thus an advantageous alternative of treatment.
Based on Computer Immune Algorithm Model Big Data Security Audit Research

In recent years, with the rapid development of internet big data technology and applications, data security issues have become increasingly serious, and incidents of infringement and theft of citizens’ privacy and sensitive data have emerged endlessly. This article mainly uses the computer immune algorithm model to conduct some in-depth research on the big data security audit problem. Data security refers to the use of multiple operation and maintenance technologies to ensure the normal operation of the data system, thereby ensuring the availability, integrity, and confidentiality of data. In the era of the rapid development of the internet, data security is a problem faces by all major companies, especially some large companies such as power companies, which have huge corporate databases and complex data volumes. Once a data security incident occurs during the operation of an enterprise, it will have a major impact on the business and normal operation of the enterprise. At present, in order to effectively avoid data security issues, many companies have adopted security inspections, graded protection, security audits and other methods to deal with data security issues. At present, data security auditing has become more and more popular among enterprises of a certain size, and related work has been started. Data security audits have gradually become the primary technical means for enterprises to prevent data security issues.
LISTA DE PARECERISTAS (COMITÊ CIENTÍFICO) E PARECERISTAS AD HOC - 2020

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SYSTEMATIC LITERATURE REVIEW OF SCIENTIFIC JOURNAL: TRANSLATIONSTECHNIQUE OF LITERARY TEXT OF POETRY

Poetry is a unique literary work and is not easily translated from source language to target language because in the process, wherever possible maintain the inner atmosphere of the work (mood, tone). At the same time, translators should look for equivalents to the formal form of the poem itself appropriately, such as the number of lines (especially for sonnet type), rhyme (praying) and syllable (number of syllables). Therefore, it is necessary to review the journal paper that discusses the technique of translating the literary text of poetry. The method used by this study is Systematic Literature Review (SLR) on journal paper published from 2013-2021. There is one Research Question (RQ) set out in this study. The final result obtained from this study is that there are twenty-one techniques for translating poetry literary texts that can be used by translators according to the times, needs and objectives of translators
The Effectiveness of Using Jigsaw II Technique in Teaching Reading Comprehension to the Tenth Grades Students of SMK Negeri 1 Gombong in the Academic Year of 2019/2020

This research aims (1) to find out a significant difference in teaching reading comprehension between students who learned using the Jigsaw II technique and those who did not. (2) To find out the extent to which Jigsaw II technique used in teaching reading comprehension to the tenth-grade students of SMK N 1 Gombong to be effective. This research was experimental research. The research design used the pre-test-posttest control and experimental class. The population in this study was X grade students of SMK Negeri 1 Gombong. Sampling used a random sampling technique with the results of X TKJ C as an experimental class and X TKR C as a control class. Data collected with pre-test and post-test given to the experimental class and the control class. The validity used content validity and construct validity. Content validity carried out by expert judgment. The construct validity has done with the help of the Pearson program. The instrument reliability test conducted using split-half in the SPSS program and a value of 0.889 was obtained. The data analysis technique used the Mann Whitney test with a significance level of 5%. The results of testing the requirements analysis showed that the pre-test and post-score scores were not normally distributed and homogeneous. The results of the study can be concluded as follows: first, there is a significant difference in reading comprehension skills between experimental class that got learning using Jigsaw II techniques and control class that got learning without using Jigsaw II techniques in X grade students of SMK Negeri 1 Gombong. It can be proven from the results of the Mann Whitney test post-test control class and the experimental class were obtained by Asymp Sig = 0,000. Secondly, the Jigsaw II technique has been proven effective to improve reading comprehension of the X grade students of SMK Negeri 1 Gombong. It can be proven from the calculation results of the experimental class Gain Score of 23.78 and the control class 6.11. Keywords: Effectiveness, Jigsaw II technique, Reading Comprehension