Reviewerly/exHarmony huggingface dataset:
Free/Open-Source Machine Translation for the Low-Resource Languages of Spain (Invited Talk).

While machine translation has historically been rule-based, that is, based on dictionaries and rules written by experts, most present-day machine translation is corpus-based. In the last few years, statistical machine translation, the dominant corpus-based approach, has been displaced by neural machine translation in most applications, in view of the better results reported, particularly for languages with very different syntax. But both statistical and neural machine translation need to be trained on large amounts of parallel data, that is, sentences in one language carefully paired with their translations in their other language, and this is a resource that may not be available for some low-resource languages. While some of the languages of Spain may be considered to be reasonably endowed with parallel corpora connecting them to Spanish or even to English - Basque, Catalan, Galician -, and are well-served with machine translation systems, there are many other languages which cannot afford them such as Aranese Occitan, Aragonese, or Asturian/Leonese. Fortunately, languages in this last group belong to the Romance language family, as Spanish does, and this makes translation from and into Spanish under a rule-based paradigm the only feasible approach. After describing briefly the main machine translation paradigms, I will describe the Apertium free/open-source rule-based machine translation platform, which has been used to build machine translation systems for these low-resource languages of Spain, indeed, sometimes the only ones available. The free/open-source setting has made linguistic data for these languages available for anyone in their linguistic communities to build other linguistic technologies for these low-resourced languages. For example, the Apertium family of bilingual and monolingual data has been converted into RDF and they have been made accessible on the Web as linked data.
General Discussion of Latest Results in Geological Dating

Dr. Buwalda selected the samples and used only those which appeared to be very definitely sealed in igneous rock and from which they considered the removal of uranium or lead unlikely. He believes that the present radioactive dating to be in a rough stage, just like any new scientific work is for the first few years or first several decades. Dr. Buwalda said he was confident that the ages as now determined are of the right order of magnitude. When asked what he meant by the right order and what % of error he would think possible in the extreme, he said that he would like to put a factor of 2 as an absolute limit. It was mentioned earlier that it was difficult to think of uranium liberating helium when it was in the molten state, and then retaining that helium until some later age when the uranium and the supporting rock solidified.
TEACHER’S PROBING QUESTIONS IN THE EFL CLASSROOM AT A HIGH SCHOOL

This study meant to try to find the teacher’s probing questions in EFL classroom language. In specific, this research intends 1. To elucidate the teacher's probing questions for clarification. 2. To elucidate the teacher's probing questions about different viewpoints. 3. To elucidate the teacher's probing questions to probe pupils' assumptions. 4. To elucidate the teacher's probing questions to probe pupils’ reason. 5. To elucidate the teacher's probing questions to probe evidence. 6. To elucidate the teacher’s probing questions to probe implications and purposes. This study uses qualitative descriptive. The English teacher of a high school was the subject of this study. The data obtained by observing the subject. The technique utilized in this study is by carrying out unstructured observation. The outcomes of this study demonstrated that the teacher employed all of those six probing questions. The teacher applied numerous probing techniques, those are basic probe, explanatory probe, focused probe, silent probe, drawing out, giving ideas, and mirroring, but some of them did not work for students. Probing questions most often used in this case was probing questions for clarification. The probing technique which typically applied by the teacher was an explanatory probe. Keywords: Classroom language, Questions, Probing questions.
Efficient Templates Using Hooks

This chapter will shows you two important techniques. First, you’ll learn to use a template method. Why is this important? Template methods are one of the fundamental techniques for code reuse. Suppose you follow a multi-step algorithm to achieve a task. Using a template method, you can redefine some of these steps (but not all them) without altering their calling sequence.
Identify the Dimensions and Components of Teacher Motivation in the Education Process

Purpose: The aim of this research was identify the dimensions and components of promoting teachers' motivation in the education process. Methodology: The type of research based on the purpose was applied and based on the implementation method was exploratory from type qualitative. The research community was the documents and texts of promoting teachers' motivation in the education process and the experts and researchers in the fields of educational sciences of Tehran city in 2019 year. The research sample according to the theoretical saturation principle was 15 people who were selected by purposive non-random sampling method. Information collection tools included taking notes from documents and texts and interview with experts and researchers. Data were analyzed by open, axial and selective coding methods in MAXQDA-2020 software. Findings: The findings showed that t the dimensions and components of promoting teachers' motivation in the education process had 86 indicators, 8 components and 3 dimensions. The organizational dimension had three components of management and coworkers, work environment conditions and performance appraisal system, the social dimension had three components of social relations, social responsibility and social status of the teacher and the individual dimension had two components of personal characteristics and immaterial goals of teachers. Conclusion: According to the identified dimensions and components of promoting teachers' motivation in the education process, planning are essential to improve teachers' motivation by promoting the components of management and coworkers, work environment conditions, performance appraisal system, social relations, social responsibility, social status of the teacher, personal characteristics and immaterial goals of teachers.
Sitem Pendukung Keputusan Penentuan Jurusan Pada Tingkat SMK Menggunakan Metode SMART (Studi Kasus:SMK Negeri2 Binjai)

Programs at the high school level makes it difficult students make choicesthatsuitcapabilities.Someofthefactorsthatinfluencesuchamistakeinchoosing majors went along with friends or majors trends of today and parentreferences, so that they appear remorse for students who have determined thechoice if it is not in accordance with their interests, abilities or talents. Thereforeit takes a decision support system that can perform the calculation criteria of thestudentstohelpdetermineappropriateschooldepartment.Thissystemimplements the SMART method based on the criteria of each alternative, namelytheIndonesiaNationalexamscores,theEnglishNationalexamscores,theMathematics National exam scores, the Natural SciencesNational exam scores.The result of this system is the value of knowledge for determining the directionbased on predetermined criteria. Of the 10 alternative or candidate is taken, thereis4eligible student majoring in technical light vehicle,4 eligible student majoringin bodyrepairtechniques and 2 eligiblestudentmajoring in welding technique.&#x0D; &#x0D; &#x0D;
Neural Taskonomy: Explaining high-level visual processing of natural scenes using task-derived representations

What kind of information does the human brain use when we perceive a natural scene? We investigated this question using representations from 20 visually task-specific deep neural networks trained on natural scenes. Using whole brain data from two of the largest fMRI datasets on natural scenes, NSD (Natural Scene Dataset) and BOLD5000, we built voxelwise encoding models that use network representations learned individually for each task to predict brain responses for viewing these scenes. Our results show that networks trained on 2D and 3D tasks explain distinct variance in the brain. In particular, we found that high-level visual processing is better explained by 3D representations. Moreover, those neural network models that learned to focus on different images regions to perform their tasks were able to predict distinct receptive fields along the visual pathway. In aggregate, the individual brain prediction maps from each task representation enabled us to recover a landscape explicating how task-related information is processed across the brain. More generally, we suggest that using representations from a pool of task-driven deep neural networks, provides a means for combining the power of deep learning in extracting complex representations with interpretability to better explain complex processes in the human brain.
An analysis of the learning strategies for the tour guides

This research studies the learning strategies used by a tour guide. This research focused on finding out the strategies used by a tour guide and what problems they face to improve their ability to become a tour guide. And the purpose of this study is 1) to find out the learning strategies of a tour guide. In this study, researchers found two tour guides who used the same learning strategy, namely the socio-affective strategy. Socio-affective learning strategies are learning strategies that involve many people or called group learning and one tour guide that uses cognitive strategies. Cognitive learning strategies are learning based on known facts or principles. 2) To find out the problems faced by a tour guide to improve his ability to become a tour guide. The problem faced by tour guides is confidence and knowledge, more like language, and you have to know the specific terms of a particular language and also the main factor is knowledge. Researchers use descriptive analysis to find the right information to obtain the research objectives as expected. The instruments used in collecting information are interviews and questionnaires. The researcher gave direct interview questions and questionnaires to get answers from the informants.
ANALISIS NUMERIK PENGARUH KECEPATAN TERHADAP SEAKEEPING KAPAL PATROLI PADA DAERAH PELAYARAN SEASTATE 7

Patrol boat is designed not to be slow in its movement on the water surface. To be able to move quickly and agilely, the most important requirement for this type of ship is in its maneuverability. The ship's motion at sea (seakeeping) is influenced by several things, speed, body shape, and the direction of the ship's heading waves. In this study, we analyze the six degrees of freedom, especially on the response of the ship's vertical movement, namely rolling on the sea waves of Seastate 7, especially in extreme weather in the South China Sea. The standard limit used is NORDFORSK 1987 with Light Manual Work Criteria. By entering parameters such as variations in speed and wave angle, such as 0°, 45°, 180° and 270°, then from the graph it can be seen the critical value for each movement. The calculation is carried out with the help of computational software Maxsurf Motions Advanced 20 V8i. The results of this study are the maximum roll movement value that occurs at a speed of 14 knots with a wave angle of 45° with a roll angle value of 6.40o. Furthermore, there is a decrease in the value of the movement along with the increase in the speed of the ship. The minimum roll value occurs when the wave angle is 270° when the ship's speed is 28 knots with a value of 5.69o.
Analisis Usability Website Si-Prestasi Dengan Metode USE Questionare

Web technology is growing rapidly, with today's website being a role to improve effectiveness, the design of the web can be said to be good when it meets usability aspects for testing the products, which are compatible with the manufacturing and easier access to the site. One of the implementations of the effectiveness of website technology is the implementation of the website to assist with learning teaching at the covid-19 pandemic. Nganjuk district will maintain it by creating an e-learning based website called Si-Prestasi. But in the user data found on the si-prestasi website, there is a user decline from the Si-Prestasi website. In January 2021, student users reached 731,621 and in April 2021 to 187,590 times and teacher users, 3,658 times opened the applications for their accomplishments, and in April 2021 down to 11,612 times. Thus the study aims to analyze Culinaire's usability system by referring to the 5 aspects of usability: learnability, efficiency, memorability, errors, and satisfaction. The results of this research demonstrate that the aspects of learnability, efficiency, memorability, and satisfaction are at a good category value and the error aspect falls insufficient category. Therefore, improvements need to be made to optimize the website and improve on the server si-prestasi websites.
An Efficient Feed-forward Neural Network Implementation Based on FPGA

This paper introduces a hardware implementation of feed-forward neural networks using field-programmable gate arrays (FPGAs). Despite advances in FPGA density, the various multipliers in a neural network (NN) limit the size of the network that can be implemented using a single FPGA, rendering NN applications uncommercially viable and non-linear activation function it cannot be executed directly on FPGA. The proposed implementation aims to reduce resource utilization while maintaining speed and allowing for a larger NN to be realized on a single chip at a lower cost. In this work, the implementing a neural network based on an efficient tan-sigmoid using a polynomial method, and implementation of a neural network based on the data normalization and restructuring method is represented and Feedforward networks have been applied using the Xilinx Spartan-3A 3sd3400afg676-4 FPGA platform. The proposed design shows the rate optimization of resources of 3% for the slices and lookup tables (LUTs).
Perancangan Dan Pengembangan Graphıc Desıgn Berupa E-Katalog Pada Royale Laundry

Royale Laundry was established in 2015, the location of Royale Laundry is located in Komp. Nagoya point Blok H No 8, Batam. Royale Laundry is a shop engaged in laundry services. In the era of globalization and increasingly rapid technological advances encourage people to be more active in using the internet today, apart from sharing information, the internet is also used as a means of promoting a product or service so that it is easier for people to find the product or service they need and the owner of the product or service easier to market. its product or service. This activity aims to help Royale Laundry to the public to find out the services, laundry services at Royale Laundry and provide tangible results. Promoting Royale Laundry by creating a catalog, namely an E-catalog using Adobe Photoshop CC 2018 and publishing it on Instagram. Data collection methods used: observation and interviews, with the design process design, predesign, design, postdesign. Suggestions for Royale Laundry shop owners, are expected to be active in introduction and promotion using social media or the internet in various social media platforms.
Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation.

In a real-time simultaneous translation setting and neural machine translation (NMT) models start generating target language tokens from incomplete source language sentences and making them harder to translate and leading to poor translation quality. Previous research has shown that document-level NMT and comprising of sentence and context encoders and a decoder and leverages context from neighboring sentences and helps improve translation quality. In simultaneous translation settings and the context from previous sentences should be even more critical. To this end and in this paper and we propose wait-k simultaneous document-level NMT where we keep the context encoder as it is and replace the source sentence encoder and target language decoder with their wait-k equivalents. We experiment with low and high resource settings using the ALT and OpenSubtitles2018 corpora and where we observe minor improvements in translation quality. We then perform an analysis of the translations obtained using our models by focusing on sentences that should benefit from the context where we found out that the model does and in fact and benefit from context but is unable to effectively leverage it and especially in a low-resource setting. This shows that there is a need for further innovation in the way useful context is identified and leveraged.
온라인 과학 수업에서 실험 활동과 상호작용의 개선을 위한 실행연구

This study is an action study that plans a instructional strategy for improving experimental activities and interactions in online science classes and suggests improvement plans based on the results. To this end, from July 7 to September 9, 2020, the ‘Earth and the Moon’ unit class was conducted for 20 6th grade elementary school students located in G Metropolitan City. For the class, smart devices and alternative experiments were planned in the experimental activity category, and an online chat room and Q&A strategy were planned in the interaction category. Among the collected data, class activity papers, homework assignments, reflection journals, online conversation contents, and Q&A contents were input into the matrix and analyzed by writing analytical texts. As a result of the implementation, smart devices and alternative experiments provided opportunities for exploration, but there was a risk of misconception formation and hindered experimental activities. The online chat room and Q&A provided opportunities for communication and examination and feedback on scientific concepts. Through this action study, the researcher was able to reflect on the class while writing class reflection notes, and suggested the role of smart devices in terms of the effectiveness and efficiency of science classes.
Foreign Experience and Issues of Improving of Legislation on International-Legal Cooperation in the Field of Combating Crime

International cooperation in the fight against corruption is a complex process and is regulated by the norms of international and national law. By analyzing the legislation of foreign countries in this regard, we can conditionally classify these countries as follows:first of all, the relations on international cooperation in criminal matters are regulated at the constitutional level;secondly, countries where international cooperation in criminal matters is regulated by criminal and criminal-prosessual legislation;thirdly, the countries that adopted international cooperation in criminal cases, in particular, special legislative acts on extradition.Below we will dwell mainly on the countries belonging to the third group. After all, the study of the experience of these countries in the field of the mechanism of international cooperation in criminal cases shows that in our country it is also worthwhile to adopt a special legislation to improve this area.In this article, the theoretical and practical aspects of international cooperation in the field of combating crime are studied in a complex way from the point of view of international treaties and criminal-prosessual law of the Republic of Uzbekistan, and proposals are made to improve the norms of Criminal-prosessual law regulating international cooperation in the fight against crime.
Promoting the Construction of First-Class Applied Chemistry Major by Optimizing the Elements of Students' Cultivation

To construct the first-class applied chemistry major of Beijing University of Chemical Technology, the talent training mode with solid foundation and practice, balanced general education and major education, and diversified output has been established.We focus on optimizing and reforming the main elements of students' cultivation such as curriculum, teaching resources, teachers, practice, and quality assurance, so as to meet the needs of students' lifelong development, to construct the structure of students' knowledge, ability and quality, and to cultivate the high-quality talents of science-engineering integration in applied chemistry major with all-round development of morality, intelligence, physique, aesthetics and labor.
Analisis Kesulitan Belajar Matematika Siswa Kelas 4 di SDN Bulak III Tangerang Selatan

The purpose of this study is to describe students' learning difficulties in Mathematics class 4 at SDN Bulak 3 in the 2020/2021 academic year and to describe the factors that cause difficulties in learning Mathematics in grade 4 at SDN Bulak 3 Academic Year 2020/2021. This study uses a descriptive research design. The subjects in this study were all 4th-grade students of SDN Bulak 3 which opened 40 students. Data collection techniques used in this study were interviews, questionnaires, and documentation. Data analysis uses an approach. The results of this study were 12 students who did not understand when the teacher delivered Mathematics material. The factors that cause difficulties in learning Mathematics for grade 4 students at SDN Bulak 3 are internal factors, namely students still have factors that are interested in participating in mathematics lessons, while externally, teachers do not use learning media as teaching aids and the methods used are less varied and innovative. Based on the results above, it can be seen that the 4th-grade students of SDN Bulak 3 still have difficulty in learning Mathematics.
Selenium-Inherited Web Locators

Now that your framework is installed and your first test case is running successfully, let’s proceed to the next step. This chapter explains how to locate the elements of a web page so that they can be interacted with. You learn about different locator strategies that Protractor inherits from Selenium WebDriver (webdriver.By) library, including the following.
Detection of Copy Move Forgery Using a Hybrid Algorithm

In recent years, image forgery detection in terms of copy-move detection has become a popular topic among researchers. For real-time images, this work presents a combination methodology of saliency detection and local binary pattern-based forgery detection. In a preliminary phase, saliency detection is employed to identify the forged portion. This forgery detection method can be applied in medical, forensics, and media to authenticate the integrity of the original image.&nbsp; It secures the modified portion's territory with the surrounding (global) area. The specific pixels/region for the tampered portions is then detected or captured by Local Binary Pattern features. This combined approach keeps the benefits of both the saliency map and the Local Binary Pattern, especially in terms of scaling or rotation, while also having a faster detection rate than the existing methods. In addition to the existing forgery detection result, the suggested method uses depth map information to properly identify the forged region. The severity of the tampered portion is assessed in terms of bits per pixel. The proposed method is unique in that it allows for the detection of tampered portions in real-time digital images. The proposed method is also shown to be considerably superior to existing methods in a state-of-the-art comparison.
LibGuides: LibGuide Best Practices: Page Design

TCC Library's best practices, standards, and guidelines to follow when creating and updating LibGuides.