Reviewerly/exHarmony huggingface dataset:
Suggestions on ASMR Hazardous Controversy Study by Sample Survey

Recently we have a lot of Youtube contents and their influence. ASMR content is in vogue through YouTube recently But Just a few Studies have announced Youtube content’s effect. The purpose of this paper is to examine whether ASMR helps improve mental stability and learning skills of teenagers who enjoy using it. To this end, a sample comparison of teenagers showed that the sample group that played ASMR had an advantage in psychological stability and learning effects over the comparison group that did not. As a result, half of the respondents felt positive differences in learning and psychological stability. Therefore, rather than unilaterally banning the use of ASMR content at school or at home, it is educationally effective to create an atmosphere where teenagers are understood and joined together. So We suggest that positive use of ASMR would be proposed as alternatives rather than unilateral measures such as banning ASMR content to teenagers.
Identification of potential drought in Lamongan Regency

Abstract Drought will affect almost every aspect of human life. The impact of drought hazards is often slow but certain, so that if not monitored continuously it will result in the loss of food due to crops and dead livestock, farmers losing their livelihoods and others. Lamongan regency is one of districts with drought level in very high risk class. At IRBI BNPB in 2011, Lamongan Regency is 2nd ranked of all regencies in Indonesia. By interpreting remote sensing data we will be obtained parameters such as ground surface temperature, vegetation density with EVI transformation, wetness index, brightness index, and land use. These parameters and accompanied by secondary data which is rainfall can be used to identify the drought potential in Lamongan because each parameter has properties that can be associated with its vulnerability to drought potential. Performed by weighting technique and overlay process on these parameters can produce the identified areas with very high drought potential which is 14.171 hectares or 0.009% of total area and dominated in Paciran Sub-District. And the identified areas with very low drought potential which is 20979.626 hectares with a percentage 13.222% of total area and dominated in Karangbinangun Sub-District, Kalitengah Sub-District, Turi Sub-District and Deket Sub-District.
Different proof methods of Dalton’s partial volume law equivalent to Dalton’s partial pressure law

Abstract As we all know, Dalton’s law of the partial pressure is equivalent to Dalton’s law of the partial volume. On the other hand, through experiments, it can be proved that Dalton’s law of the partial volume is correct, and Dalton’s law of the partial pressure can be derived from Dalton’s law of the partial volume, implying that both laws are equivalent to each other. Combined with the teaching of middle school physics and university basic physics, with different ideas and methods, this paper presents a variety of proof methods of Dalton’s law of the partial volume to be equivalent to Dalton’s law of the partial pressure. Different proof methods can improve the understanding and application of Dalton’s law of the partial pressure and law of the partial volume. It is proved that the relevant content of Dalton’s ideal gas partial pressure law is further supplemented and perfected, which plays a role throwing some light on this field.
A Flexible Vulnerability Reduction System Using Machine Learning

The human system have an ability to adapt dynamically and protect against biological viruses is amazing. Computer security faces an ever-increasing threat and a system which can prevent any viruses coming in, is an open research problem. We propose a new model, called (RI Secure Web), whic h can be resilient and immune to web application vulnerability for injection and URL manipulation for injection methods using an agent based machine learning system The ability of human immune system to survive and maintain body from different damages and its self curing capabi lity inspires the development of a resilient and adaptive cyber security system. Such system functions proactive and defends itself against viruses as human immune system does. In this paper, an architectural view of a system for reducing application level vulnerabilities to protect cyber attacks, particularly injection method is proposed.
Segnali discorsivi e connettivi

The paper is situated between pragmatics, conversation analysis and text linguistics. After outlining the contours of the class of discourse markers, on the basis of a recent book by Andrea Sanso, we reflect on the relationship between discourse markers and connectives in the strict sense. It turns out that connectives coincide with a sub-type of the sub-class of metatextual discourse markers. They are morphologically invariable elements that signal logical-argumentative relationships between text units.
Why people err on multiple-choice analogical reasoning tests

Author(s): Chuderski, Adam; Kroczek, Bartlomiej | Abstract: A widespread tool in analogy research consists of multiple-choice tests that require identifying a relation between two situations and mapping it to another two situations, to find the correct response option. A key source of difficulty during such tests is attributed to the complexity of mapping. However, most people do not construct mappings purely in the mind, but also compare the emerging mapping with the existing response options, so their features may affect the reasoning process. This study examined the impact of relational match of error options with respect to the correct option (the proportion of correct elements present in a given error option) on the option selection. Results indicate that option selection depends almost linearly on the relational match. Moreover, the higher working memory capacity of the participants, the more relationally matching errors they select. The study suggests careful design of error options in multiple-choice reasoning tests, because the pattern of these options can affect the solution process.
Corona-Covid-19 virus and its impact on the use of electronic information sources : a field study to identify the extent to which students in the various educational stages use electronic sources of information to meet their cognitive and informational needs for distance learning in some countries of world.

The study aims to identify the extent of the impact of the spread of thecoronavirus Covid-19 on the use of electronic sources by beneficiaries at differenteducational stages to meet their knowledge and information needs for distancelearning in some countries of the world, namely Egypt- Qatar – USA . Where thestudy included many sections, the first of which included the theoretical section,which included the methodology of the study and consisted of the introduction -the importance of the study and the reasons for choosing the subject - studyquestions - study limits - study methodology / study and data collection tools -previous studies as well as the definition of the virus corona in general and Covid- 19 in particular and what sources of electronic information, and the stage of itsdevelopment over time and the most important physical forms within libraries andinformation centers that have become the most important information facilities inmodern times, Then the study moved to the practical aspect, which consisted inthe preparation of electronic questionnaire in Both Arabic and English so thatnon-Arabic speakers can answer it, in order to measure the impact of thecoronavirus on the use of electronic sources, where the questionnaire includedthe number of eleven different questions to cover all aspects of the study, andspecific so that the study community can answer it in order to achieve theprinciple of ease and speed where the number of sample study and whichresponded 554 students to be the basis of the statistical work and To reach theresults of the study .
Uncovering the Metricity of Representational Spaces in the Brain: Evidence from Colors and Letters

Author(s): Caglar, Leyla; Hanson, Catherine; Hanson, Stephen Jose | Abstract: An ongoing debate about the structure of conceptual space is based on two competing mathematical theories of similarity that make distinct predictions about the structure of mental representations and how to model the representational space they are stored in. These are known as metric (Shepard, 1962) and ultrametric (Tversky, 1977) theories, modeled by multidimensional scaling and additive trees respectively. Turning to the brain to resolve this conflict, we propose a computational framework to assess behavioral and neural data’s underlying structure and investigate whether the behaviorally known spaces for colors (metric) and letters (ultrametric) can be reproduced from neural data. Our results show that the metric color wheel can be reproduced from brain area V4, but that neural activations of the letters from extrastriate cortex (V2-V5) are also metric instead of being ultrametric. Finally, we discuss three possibilities for the brain’s similarity structure, including a potential metric bias.
A Note on Science, Legal Research, and Artificial Intelligence

This paper discusses the principles of scientific research and reviews legal research that was done using Artificial Intelligence , arguing that the tools (Artificial Intelligence) take center stage while the meaning (legal research) is left back stage. In turn, this kind of research does not adhere to the fundamentals of scientific research nor comply with scientific and industry ethical codes.
A combination of LSB and deflate compression for image steganography

Steganography is one of the cryptography techniques where secret information can be hidden through multimedia files such as images and videos. Steganography can offer a way of exchanging secret and encrypted information in an untypical mechanism where communicating parties can only interpret the secret message. The literature has shown a great interest in the Least Significant Bit (LSB) technique which aims at embedding the secret message bits into the most insignificant bits of the image pixels. Although LSB showed a stable performance of image steganography yet, many works should be done on the message part. This paper aims to propose a combination of LSB and Deflate compression algorithm for image steganography. The proposed Deflate algorithm utilized both LZ77 and Huffman coding. After compressing the message text, LSB has been applied to embed the text within the cover image. Using benchmark images, the proposed method demonstrated an outperformance over the state of the art. This can proof the efficacy of using Deflate as a data compression prior to the LSB embedding.
Fabrikasi Dan Karakterisasi Difraksi Sinar X Film Tipis Barium Zirkonium Titanat Bazr0,1ti0,9o3 DenganVariasi Suhu Annealing

Ferroelectric material is a dielectric material that can be made in the form of tothin films. Barium Titanat (BaTiO3) is a basic ferroelectric component materialwhich made in the form of thin film. Barium Titanat can be doped with Zr andshape in thin films with formula (BaZr0,1Ti,9O3). These thin film of BariumZirconium Titanat (BaZr0,1Ti,9O3) has successfully made using sol gel method as afunction of temperature. BZT materials are important material that is veryattracted material in research because of high dielectric. The thin film wasdeposited onto glass substrate that assisted by spin coating with speed of 3000rpm for 30 seconds. The growth of thise thin film was made by variying theannealing temperature of 600⁰C and 650⁰C for 1 hour. The thin films ofBaZr0,1Ti0,9O3 was annalized using X-Ray Diffraction (XRD, the particle size ofthe sample was determined using Scherrer formula. The crystalize size of thesample is affected by the annealing. Moreover, the X-Ray Diffraction resultsshow that the crystal structure of the sample is tetragonal, that has a latticeparameters of a = b = 4,03 Å c = 4,08 .Keywords : Barium Zirkonium Titanat, Sol-Gel Method, Annealing, CrystalStructure, Crystal Size
Effect of Predictive Next-Letter Highlighting and Its Delays on the Bare-Handed Input in Virtual Reality

The bare-handed interaction in virtual reality (VR) is gaining popularity because of the high naturalness of the interaction. However, the bare-handed input is disadvantaged by the poor input performance. This study attempted to use a technique - predictive next-letter highlighting (PNLH) to alleviate this problem. In order to investigate the effect of PNLH and the PNLH with different delays on input performance of bare-handed in virtual reality, a total of 30 participants familiar with the keyboard layout were recruited. They were required to complete five input conditions: input without the PNLH, and input with PNLH with a delay of 0, 150, 300, and 450 ms. Results indicated that the PNLH with a delay of 0 and 450 ms had better input performance than that without PNLH. The effect of the delay on input performance varied with duration—a delay of 300 ms will result in the worst input performance.
국제개발협력 연수사업 평가방안에 대한 탐색적 연구

The purpose of this study is to explore the theoretical exploration and evaluation indicators for the evaluation of the training program, which is one of the international development cooperation. We analyzed the case of overseas similarity evaluation and conducted an interview with the participants in the selected case. In particular, we focused on the SDGs and communication (C4D) dimension for development, and proposed factors to consider when developing the evaluation matrix. for future performance management.
The Current Challenges of Online Education in Ukraine

The purpose of the article is to carry out theoretical analysis and synthesis of prospects for the development of distance learning in Ukraine, to consider the main current problems of distance education in Ukraine, to analyze the main factors hindering the introduction of distance learning, to draw attention to the need for computer literacy distance learning methodologies, in particular a unified, systematic, nationwide approach to organization, coordination and control in this area. The research methodology consists in analytical method, method of structural-functional analysis, phenomenological method, method of content analysis, method of general philosophical reflection, basic sociological methods (questionnaires, interviews). The scientific novelty of the research lies in clarifying the current state of integration of distance learning in Ukrainian schools and clarifying the features of the process of introducing distance learning in general. The article also analyzed the works of foreign fundamentalist scientists in the field of distance learning and partially substantiated the feasibility of their implementation in the domestic system of distance learning. Based on the study, innovative hypotheses have been put forward regarding the factors (individual, collective and social) that inhibit the introduction of distance learning and often lead to its inefficiency and formalization, which in the future can be a reference point for future scientific research.
Improving Students’ Writing Skill by Using Venn Diagram.(An Experimental Research at eighth grade of MTsN 1 Kota Serang)

Rizkiyah, 161230144. 2020. Improving Students’ Writing Skill by Using Venn Diagram.(An Experimental Research at eighth grade of MTsN 1 Kota Serang).This research investigates the use of Venn Diagram to improve students’ writing skill at the eighth grade of MTsN 1 Kota Serang. The objectives of this research are 1) to know how is students’ writing skill at the eighth-grade students of MTsN 1 Kota Serang before using Venn Diagram, 2) to know how is students’ writing skill at the eighth-grade students of MTsN 1 Kota Serang after using Venn Diagram, and 3) to know how is the effectiveness of Venn Diagram for teaching writing skill at the eighth-grade students of MTsN 1 Kota Serang. The method used in this study was quasi experiment with the samples are 60 students. They are divided into two classes, 30 students in experimental class and 30 students in control class. Furthermore, the researcher used pre-test and post-test to collect the data. After calculated the data, the researcher gets the mean of post-test in experimental class is 71.5 and in control class is 64,9. Since the degree significance is used, the data showed that t table of level significance 5% 2.4. The result of the research is that t count= 3,4 and 2.4 tt . In other words, the alternative hypothesis is accepted because there is significant effectiveness of Venn Diagram to improve students’ writing skill. In line with the data result, the researcher concludes that using Venn Diagram learning could improve students’ writing skill.
Personal style of cognition (cognitive traction) and the level of involvement of the student (engagement) in the assessment and development of digital competencies of the teacher

The article presents the results of the intermediate stage of the research conducted within the framework of the project of the Russian Foundation for Basic Research No. 19-29-14030 ”Cognitive models and algorithms for the formation of digital competence of a teacher in the conditions of digitalization of general education”. The project is aimed at improving the effectiveness of the teacher’s activities in the context of digitalization of education by developing the digital competence of the teacher through the introduction of cognitive models and algorithms for evaluating the digital competencies of teachers and making decisions on the design or adjustment of professional development programs. The current state of the problem of professional and personal development of teachers in the context of digitalization of education, their digital competence, approaches to the identification of digital competencies and their assessment is studied, conceptual approaches to the identification of digital competencies of teachers are defined and the main indicators of their assessment are developed. At the second stage (2021), a structural model of the organization of professional development of teachers is being developed, taking into account the requirements of digitalization of general education on the basis of a competence-based approach. There is also the task of developing a cognitive model of the advanced training program (ATP), which allows us to take into account the strength of the links between the studied modules and digital competencies based on the application of an algorithm for assessing the significance of disciplines. The results of this work are proposed for discussion in this article.
THE VISION OF UNIVERSITY PROFESSORS IN CORONAVIRUS TIME

A. Sola-LeyvaS. PeralesL. López-OnievaMJ. Ruiz-Magaña S. García-MesaV. AyllónV. NeubrandD. LandeiraC. TrenzadoD. MolinaA. Pérez-JiménezE. Rufino-Palomares
Epistemic logic and CERMINE: a logical model for automatic extraction of structured metadata

In this article we develop a logical model for automatic extraction of structured metadata. We introduce a new predicate ???? – reads ‘extract’ – and a structure ???? to syntactically and semantically define metadata extracted with any automatic metadata extraction system. These systems will be considered, in the logical model created, as knowledge extraction agents (henceforth KEA). In this case KEA taken into consideration is CERMINE, a comprehensive open-source system for extracting structured metadata from scientific articles in a born-digital form
The Effect of Learner Podcasts on EFL Students’ Speaking Development

The use of podcasts in the field of language learning as instructional materials has received much attention in recent years. Podcasts enable learners to have access to authentic materials and they can be used as learning objects for independent learning. This study aims to assess the effectiveness of the use of learner podcasts in English language classes as an innovative technology-based instructional tool to develop EFL learners’ speaking skills. The study investigates to what extent learner-produced podcasts help EFL students to develop their speaking skills. This study was carried out at a state university in Turkey with forty EFL learners. During the study, learners were asked to create podcasts in pairs. In the podcasts, they were encouraged to discuss critically about various topics with their partners. Each pair was also required to listen to another pair’s podcast, and assess their peers’ views on the relevant topic and stimulate the discussion through creating another podcast including their personal comments about their peers’ viewpoints. The data were collected through a pre-and post-speaking test administered to participants and the data gathered from the tests were analyzed quantitatively. The findings revealed that creating learner podcasts had a significant effect on learners’ speaking skill improvement.Keywords: Podcast, podcasting, learner podcast, speaking skills
LibGuides: Diversity in STEM Education: Websites & Lesson Plans

This Library Guide contains resources for students interested in Diversity in STEM education (Science, Technology, Engineering, and Mathematics)
Perbandingan Hasil Penggunaan Media Audio Visual dengan Media Gambar Seri dalam Pembelajaran Menulis Teks Prosedur

Abstract. This study aims to describe: (1) the results of the use of audio visual media in the learning of writing procedure text, (2) the results of the use of serial image media in the learning of writing procedure text, and (3) the comparison of the results of use between audio visual media and serial image media in the learning of writing text proedur students of Grade VII SMPN 1 Polombangkeng Utara. This type of research is quantitative research using a descriptive comparative approach. The data collection technique in this study is to create learning groups through Whatsapp application, assignments, and assessments. Data analysis techniques are performed by creating frequency and percentage distribution tables, creating tables of accumulated student grades, and creating categorization tables of media usage results. The results of this study showed that: (1) the results of the use of audio visual media in the learning of writing text procedures of Grade VII smpn 1 North Polombangkeng students are categorized well with an average score of 69 students. (2) the results of the use of serial image media in learning to write the text of the procedure of Grade VII SMPN 1 North Polombangkeng students are categorized as good with an average score of 72 students. (3) the results of the use between audio visual media and serial image media are at the same value interval of 60-84 categorized well with the average value of students on the use of audio visual media 69 while in the use of image media series 72. Keywords: text, procedure, learning media.
La educación universitaria en filosofía ante la crisis desatada por la pandemia

In the context of the pandemic, education has undergone major changes. Students have been forced to abandon the face-to-face modality and teachers have been preparing themselves in the use of virtual tools. On the one hand, students have expressed their resistance to the new format and proof of this is their lack of enthusiasm to carry out the activities required by virtual classes. On the other hand, the challenge of the new digital teacher is to attract the student (as youtubers do) so that they can continue their professional training in their university career. The use of surveys, forums, readings, videos and tests in an appropriate way can support the teacher’s task. However, the true objective of education must not be forgotten. It is necessary to train human beings who not only possess knowledge, but also learn to value life appropriately and for good reason.
Research Guides: Text and Data Mining: Project planning

A brief guide to tools and resources (including datasets) for getting started with computational approaches to textual analysis.