Reviewerly/exHarmony huggingface dataset:
Translation Quality Assessment of Proverbs from English into Arabic: The Case Study of One Thousand and One English Proverbs Translated into Arabic

Proverbs are very important in every language and culture. However, translators sometimes mistranslate them. Thus, this study sheds light on the translation quality assessment of proverbs. These proverbs are collected from One thousand and one English proverbs translated into Arabic by Omar Jabak. This study aims at pointing out the most frequently used strategies for translating proverbs, and investigating how far Na Pham's error analysis model is appropriate for the description and assessment of the strategies used in translating these proverbs. Na Pham's error analysis model is used to identify comprehension, linguistic and translation errors. Moreover, this study aims at detecting the most common errors under each strategy used. The findings of this study show that Na Pham's error analysis model is appropriate for the assessment. It also reveals that there are certain types of errors which are committed more often than others. In addition, it uncovers that the types of errors detected when translating proverbs using partial equivalence and paraphrasing are very similar. Comprehension errors, giving an inaccurate meaning, and distorting the meaning are the most frequently detected errors when translating proverbs using partial equivalents and paraphrasing. On the other hand, wrong lexical choice and too-literal translation are the most frequently detected errors when using literal translation. Finally, this study suggests solutions for improving the quality of Arabic translations of proverbs. In addition, some recommendations for further studies are suggested.
Quantum conference key agreement using photonic graph states

Future quantum networks will provide multi-node entanglement enabling secure quantum communication on a global scale. Traditional two-party quantum key distribution (2QKD) consumes pairwise entanglement which is costly in constrained networks. Quantum conference key agreement (QCKA) leverages multipartite entanglement within networks to directly produce identical keys among N users, providing up to N-1 rate advantage over 2QKD. Here, we present a four-user QCKA protocol using photonic GHZ states distributed over fibre with combined lengths up to 50 km. Furthermore, we investigate a constrained network consisting of a 6-qubit photonic graph state which we apply network coding routines to distil suitable resource states.
Development Of Educational Organizations In The Region During The Period Of Digitalization

The article gives prominence to the factors currently affecting the development of the management system of educational organizations in the Republic of Bashkortostan. Digitalization, computerization, demographic changes, the economic environment, trends in the labour market, ecology and migration are highlighted among such factors. The main tendencies in the field of education and financing of the education system of the Republic of Bashkortostan are revealed. The comparison is made with the educational system of the Republic of Tatarstan. The problem of the applicant outflow is considered. Conclusions about the insufficient competitiveness of the education system and the management system of educational organizations in the Republic of Bashkortostan are drawn. Three main models were identified in the process of studying the education system: Anglo-American, German and Scandinavian. The features of the German model are inherent for educational institutions of Russia because the competition between “status” and “non-status” educational institutions is increasing, mainly due to the financial support of the former. This situation contributes to an increase in the distance between the leading and secondary educational institutions. At the same time, there is the absence of federal and research higher educational institutions in the Republic of Bashkortostan. The management of the education sector and educational organizations in the region still has a fairly large potential for growth and development.
Forced ε-Greedy, an Expansion to the ε-Greedy Action Selection Method

Reinforcement Learning methods such as Q Learning, make use of action selection methods, in order to train an agent to perform a task. As the complexity of the task grows, so does the time required to train the agent. In this paper Q Learning is applied onto the board game Dominion, and Forced ε-greedy, an expansion to the ε-greedy action selection method is introduced. As shown in this paper the Forced ε-greedy method achieves to accelerate the training process and optimize its results, especially as the complexity of the task grows.
PENINGKATAN HASIL BELAJAR SISWA SMP NEGERI 14 KOTA BOGOR TENTANG TEKS PROSEDUR MELALUI PENERAPAN MODEL PEMBELAJARAN MAKE A MATCH

IMPROVING THE LEARNING OUTCOMES OF JUNIOR HIGH SCHOOL STUDENTS ABOUT PROCEDURE TEXTS THROUGH THE APPLICATION OF THE MAKE A MATCH LEARNING MODELThis research departs from the phenomenon that occurs in the classroom that the low quality of Indonesian language learning can have an influence on student learning outcomes. Therefore, a teacher needs to consider a learning model that is in accordance with the learning material so that it can improve student learning outcomes. One of the learning models tested through this research is the Make a Match learning model. The research was carried out in class 7F of SMP Negeri 14 Bogor City in Semester I of the 2019/2020 Academic Year and aimed to (1) find out the Make a Match learning model can improve student learning outcomes about procedural texts, (2) describe the process of improving student learning outcomes about procedure text after applying the Make a Match learning model, (3) measuring the magnitude of the increase in student learning outcomes about procedure text after applying the Make a Match learning model The results of this study indicate that the application of the Make a Match learning model about procedure text in class 7F of SMP Negeri 14 Bogor before applying the Make a Match learning model had an average score of 68.94. When learning was changed by applying the Make a Match learning model, the average student learning outcomes increased to 78.24 in the first cycle and 86.12 in the second cycle. It was concluded that the application of the Make a Match learning model used by the teacher could improve student learning outcomes, therefore the researcher suggested that the application of the Make a Match learning model should be socialized and used in Indonesian language learning in schools within the Bogor City Education Office.
Students’ Perception on Online English Learning and Their Achievement During Covid 19 at SMK Manajemen Penerbangan Medan

During covid-19 pandemic, online learning is popular used by educators teaching learning process.Online learning is one of media that can be used in different place and time.It is helpful for the teachers to give an English lesson during learning from home in accordance with current government policy.This research is descriptive research.The aims of this research is to find out students' perception and their English achievement of online class during covid-19.The result from this research showed that 22,10% of students were strongly agree about the advantages of online learning during covid-19.This result of data analysis showed that online learning is useful during learning English during covid-19 at.The percentage of students' perception were 14,30 % were strongly agree that there were challenges of using online learning.It showed that students have problem in adapting the online learning in English lessons.
USING TENSORFLOW ECOSYSTEM OF TOOLS FOR IMPLEMENTING NEURAL NETWORKS ON CYPRESS SEMICONDUCTOR MICROCONTROLERS

Today, a lot of difficult tasks require the implementation of neural network methods. According to the definition, neural networks are used to recognize the correlation between input and output data, that cannot be easily formalized by a programmer. For example, the programmer cannot formalize basic relationships between image pixels and recognizable items on the picture. In this case, the traditional programming paradigm is replaced by machine learning. The problem of using neural networks on difficult tasks is a large amount of data. Also, the process of using neural networks requires a lot of floating-point operations. Usually, a neural network task requires a real-time response, and for this reason, neural networks use cloud services. Cloud services get input data from an IoT peripheral, process it, and send the response of output data back to an IoT peripheral. Such a way of neural network usage organization with IoT peripherals has some disadvantages. For instance, an IoT peripheral should have a connection to a network, personal user data can be stolen due to transporting, cloud service should be powerful and has a multithreading module for real-time response to a large number of the devices at the same time. An alternative method of using neural networks on IoT peripherals is quantization. Quantization is a technique that reduces the size of neural network weight by converting it to a smaller data type. Using integer quantized values boosts the speed of calculation and reduces the size of the whole neural network. This method avoids a connection to a powerful cloud service, so personal data do not leave an IoT peripheral and cannot be stolen. Key words : neural networks, quantization, machine learning, neural networks on IoT peripherals and microcontrollers.
Nonparametric bootstrap confidence bands for unfolding sphere size distributions

The stereological inverse problem of unfolding the distribution of spheres radii from measured planar sections radii, known as the Wicksell's corpuscle problem, is considered.The construction of uniform confidence bands based on the smoothed bootstrap in the Wicksell's problem is presented.Theoretical results on the consistency of the proposed bootstrap procedure are given, where the consistency of the bands means that the coverage probability converges to the nominal level.The finite-sample performance of the proposed method is studied via Monte Carlo simulations and compared with the asymptotic (non-bootstrap) solution described in literature.
Automated Essay Scoring Using Recurrence over BERT (RoBERT)

초록·키워드 목차 오류제보하기 This study aimed to build a system that could automate students" English essay evaluation by using Recurrence over BERT (RoBERT), a state-of-the-art deep learning model. English essay evaluation is inherently time-consuming. It may reflect teacher bias. English teachers are usually burdened with the task of evaluating many essays in a short period of time. Automated essay scoring (AES) can solve these problems. It has the advantage of being able to evaluate essays in a short time and without bias. In this paper, the RoBERT model was trained and evaluated on Essay Set #8 of the Automated Student Assessment Prize (ASAP) dataset. The 5-fold cross validation evaluation method was used for fair comparison with the previously suggested AES models. As a result, the RoBERT model showed the highest agreement with the human raters’ resolved scores in 5 out of 6 trait scores than the previous evaluation models. The advantage of it is that it can use the pre-trained BERT model and deal with long inputs, overcoming the input size limit of the BERT model. It was confirmed that the RoBERT model works well for trait-specific evaluation of long essays. Thus, the RoBERT model can be used as an auxiliary means to automate the evaluation of students" essays and reduce the excessive work of English teachers. #automated essay scoring #trait-specific essay scoring #essay evaluation #Recurrence over BERT (RoBERT) #hierarchical transformers Ⅰ. INTRODUCTIONⅡ. LITERATURE REVIEWⅢ. MethodologyREFERENCES
Color image deblurring and denoising by using bilateral sharpening

Images can be affected by noise and blur, which can cause quantitative bias and segmentation problems. In this work, we propose a new method to enhance the signal-to-noise ratio of 2D degraded color images while sharpening blurry areas. The method consists of the original combination of indirect bilateral filter and sharpens term based on local structural analysis. The structure tensor brings the local orientation of multi-channel image features. The proposed method reduces the noise inside regions while restoring contrast between regions. We present results on synthetic images, which led to distinct improvements of merit figures over two methods from the literature.
Diagnóstico del espacio vivido para contribuir a aprendizajes situados: Recorrido por un proceso de mapeo colectivo en el Bachillerato de Bellas Artes, UNLP

espanolEl trabajo relata la experiencia de un proyecto de investigacion desarrollado con la comunidad educativa del Bachillerato de Bellas Artes de la UNLP. En esta experiencia se construyo un proceso de mapeo colectivo por curso, donde les estudiantes evidenciaron las dimensiones de la ciudad de La Plata que toman relevancia en su experiencia y diferentes modos de vincularlas a los procesos de aprendizaje que tienen epicentro en la escuela que los nuclea. A su vez, se realizo un acercamiento a las practicas docentes del departamento de ciencias sociales y las estrategias que estos emplean para construir aprendizajes situados. EnglishThe work relates the experience of a research project developed with the educational community of the Bachillerato de Bellas Artes of the UNLP. In this experience, a collective mapping process was built by course, where the students evidenced the dimensions of the city of La Plata that become relevant in their experience and different ways of linking them to the learning processes that have an epicenter in the school that gathers them. . In turn, an approach was made to the teaching practices of the department of social sciences and the strategies they use to build situated learning.
Strengthening the Quality of Care Centers for Young Children

링크를 클릭하시면, 이 보고서의 한국어 버전을 보실 수 있습니다: https://ssrn.com/abstract=3482224.Public concern over the quality of child care has risen in recent years, deepening the distrust of child care centers. To assure parents of their children’s safety and well-being at care facilities, consistent and full access to the operations of centers must be guaranteed. Based on this openness, parental participation should be encouraged in regards to the decision-making process on care quality as well as active parent-teacher interaction to devise programs that could help children develop essential future skills. It is also important that the detailed results of center evaluations are placed in the public domain to enable the evaluation and accreditation system to contribute to enhancing the quality of child care. Furthermore, teachers should be provided with training programs.
Continuous Arch Bridges Over Lake Tisza, Hungary

&lt;p&gt;The design and construction process of the unique cycling bridges at Lake Tisza are presented in this article. The 4 new bridges are parts of the closing segment of the cycle route around the artificial reservoir, which is a popular tourist destination in Hungary, and part of the UNESCO World Heritage. The proximity of the natural environment motivated the use of organic, flowing shapes.&lt;/p&gt;&lt;p&gt;The unique Eger- and Szomorka bridges are independent continuous half-through arch bridges, 8 spans with a total length of 308.46m, and 3 spans with a total length of 86.30 m, respectively. The bridge over River Tisza is a 5 span bridge with a total length of 279.47 m, which is placed on the extended piers of the existing roadway bridge. It consists of 2 deck truss bridges on the side-spans and 3 network arch bridges in the mid- spans. A 5.70 m span bascule bridge over one of the draining canals of the lake was also accomplished as part of the project.&lt;/p&gt;&lt;p&gt;The Eger and Szomorka bridges are internationally unique due to the fact that the Designers have dreamed a continuous sinusoid wave on the supports; which, by twirling under and above the deck, results in a continuous structure. The successful construction of the Tisza River Bridge also required some special and unprecedented construction methods.&lt;/p&gt;
A Dark Flash Normal Camera

Casual photography is often performed in uncontrolled lighting that can result in low quality images and degrade the performance of downstream processing. We consider the problem of estimating surface normal and reflectance maps of scenes depicting people despite these conditions by supplementing the available visible illumination with a single near infrared (NIR) light source and camera, a so-called flash Our method takes as input a single color image captured under arbitrary visible lighting and a single dark flash image captured under controlled front-lit NIR lighting at the same viewpoint, and computes a normal map, a diffuse albedo map, and a specular intensity map of the scene. Since ground truth normal and reflectance maps of faces are difficult to capture, we propose a novel training technique that combines information from two readily available and complementary sources: a stereo depth signal and photometric shading cues. We evaluate our method over a range of subjects and lighting conditions and describe two applications: optimizing stereo geometry and filling the shadows in an image.
Central Banks Digital Currency - Opportunities and Innovation

The issuance of a Central Bank Digital Currency (CBDC) is a very important step towards a fully digital economic environment and the consequences of such a direction are under debate by many policymakers around the world. There is a clear interest within the space as governments around the world are exploring the viability of a digital currency and according to the latest Bank for International Settlements (2021) report: 86% of the world's central banks have begun to conceptualize and research the potential of CBDC, 60% are developing Proof-of-Concepts (PoC) and 14% are implementing pilot projects. This paper provides a comprehensive overview for finance and investment participants about the topic of Central Bank Digital Currencies. The recent international exploration into the future of Central Bank money is complex as it is interconnected with two equally dynamic entities: Digital Currencies and Blockchain/Distributed Ledger Technology.
Designing Safe Lane-Change Maneuvers Using an Explicit Path Planner

This paper addresses the problem of designing safe lane changing maneuvers for an autonomous vehicle. In the presence of neighboring vehicles, the work considers all collision possibilities in the scenario. As an explicit path planner, the four parameter logistic (4PL) curve is proposed as the solution. Analytic conditions for collision avoidance with respect to the neighboring vehicles are deduced in closed-form, and are expressed in the 2 dimensional design parameter space of 4PL curve. Feasible lane changing maneuvers are represented in this space as a set of points satisfying collision avoidance, and reachability constraints. Case studies are presented for various scenarios. The proposed method offers a deterministic, and computationally efficient approach for generating multiple feasible lane changing trajectories.
Critical Examination of Cultural Education for Korean Learners and Search for Educational Alternatives

This study aims to design educational content that enables Korean learners to become the subject of cultural activities and form cultural identity through cultural education, starting from the awareness that the perspective of cultural education in Korean education remains static culture. To this end, it was proposed to reconceptualize culture from the perspective of language education and to change the perspective of cultural education according to interculturalism. In addition, based on the critical consideration of cultural education in Korean language education, cultural education procedures and tasks were designed to solve this problem. From the viewpoint of language education, it was proposed to change the viewpoint from the existing viewpoint, which was perceived as culture as a substance, to culture as a process and action. Next, cultural education in Korean education pointed out the problems of 1) educational content centered on cultural knowledge, and 2) educational design with insufficient mediation and interaction between cultures. This is a view that views culture as a fixed entity, and has limitations in that the dynamism of culture is not reflected. In order to solve this problem, the procedure of cultural education was presented in five steps for educational design according to interculturalism. And, two types of tasks were proposed using GRASPS so that they could be practiced educationally.
Distributed Computing is an Arising Innovation by Using Digital Rights Management

Distributed computing is an arising innovation which offers different types of assistance and capacity for a lot of advanced information. The sharing and utilization of computerized data is colossally expanding on the planet. The vast majority of the data is put away in cloud as it gives stockpiling as a support of enormous information proprietors to store their information. This protected information can be handily replicated and can Distributed. Hence the security of this computerized content is vital. For ensuring the advanced information the idea of Digital Rights Management was presented. In DRM climate, just real clients are permit to access and utilize the protected substance. It is additionally similarly critical to safeguard the security of the clients who is getting to this computerized content. For saving the advanced right of the information and security of the client different plans have been proposed some of them depend on a Trusted Third Party (TTP) yet there is probability that the TTP become malignant. We are utilizing an improve conspire which can safeguard both security of the client and advanced privileges of the substance without depending on a TTP.
Alda Balthrop-Lewis, Thoreau's Religion: Walden Woods, Social Justice, and the Politics of Asceticism, (Cambridge and New York: Cambridge University Press, 2021, Pp. xxiii, 308).

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Medication chatbot using conversational AI

Conversational Artificial Intelligence systems are computers that can be interacted with by just conversing with them. With the assistance of conversational AI, we can settle one of the significant challenges in this day and age i.e., Medicine non-compliance. It is tough for patients to keep track of their medications according to the prescribed dosage, time, frequency, and direction. This paper proposes a virtual assistant that uses conversational AI to remind people to take their pills/medications on time and in the correct dosage. As virtual assistants provide a steady stream of channels through which to enhance the healthcare infrastructure. The main goal is to help people improve their adherence to recommended health and wellness treatment. This will be extremely beneficial to persons who suffer from chronic illnesses.