Reviewerly/exHarmony huggingface dataset:
In search of the text generating structure: Jakobson’s theory of the poetic function of language

The classic work of Roman Jakobson,“The Newest Russian Poetry. Sketch One. Ap­proaches to Khlebnikov”, is invariably referred to in the works on the history of structuralism, formalism and the history of the methodology of humanities. This article aims to address sev­eral questions: what are the epistemological attitudes of Jakobson and how are they imple­mented in his work? Can this 'disorganised' and 'sketchy' text be interpreted in context of the future attitudes of the scholar? The avant-garde literature of the early twentieth century not only created new methods of text generation but also required a new epistemological approach and a change in the recep­tive perspective. Jakobson's work is one of the first experiments in describing a new aesthetic phenomenon. Analysing language through shifts, Jakobson explores it in a structuralist way. In “The Newest Russian Poetry” the scholar summarises the ideas that became fundamental for him in the 1960s-1970s: the ideas of the teleological nature of poetry, a close connection between mental and language structures, and the relevance of the identification of text struc­ture as a relatively stable set of relations for the analysis of sense-making and text generation. Exploring the concept of literariness, Jakobson reveals a system of universal and interlevel methods of generating poetic speech. These observations have not lost their relevance and can be applied to the analysis of both avant-garde and classical texts.
Assessment of Non-Verbal Communication Online Job Recruitment Using Gray Level Co-Occurrence Matrix and Fuzzy C-Means Algorithm

Communication contains two dimensions, verbal and non-verbal.Non-verbal communication behavior was evaluated using the feature extract calculation of the Gray Level Co-Occurrence Matrix (GLCM).Extraction formula consists of feature, contrast, energy, entropy and homogeneity at rotation 00, 450, 900 and 1350.The results of the GLCM extraction calculation are then classified using the Fuzzy C-Means algorithm.Fuzzy C-Means (FCM) is used in pattern recognition.Data identification on the FCM is determined based on the degree of membership which has a value between 0 and 1.This study processes the applicant's offline video data.Identify expressions that indicate doubt, confusion and optimism.The assessment of the 10 videos was taken with the dominant optimistic expression extraction loop, it was obtained that the 7th video had the highest percentage of optimistic facial expressions.
Implementation of Servqual Method in Evaluation Applications of Online Learning System in The Faculty of Teacher Training and Education in The University of Dehasen Bengkulu

During COVID-19, the face-to-face learning process was temporarily replaced by an online learning system. This is done to prevent the spread of COVID-19. But on the other hand, some students complained about the online learning system, especially the material that contained practicum elements, because they could not practice directly and also the material obtained was not easy to understand due to limited feedback and existing networks. In addition, the Faculty of Teacher Training and Education at the University of Dehasen Bengkulu does not yet have an application that can assist students in providing an assessment of the learning system, especially online, so that these complaints are sometimes not conveyed properly. The online learning system evaluation evaluation application at the Faculty of Teacher Training and Education, Dehasen Bengkulu University is an application that was built to make it easier for students to give scores to the online learning system and also make it easier for the faculty to evaluate the assessments given by students. In helping the analysis of student assessment of the online learning system, this application has applied the Servqual Method where the assessment is divided into 2 parts, namely perceptions and expectations. An online learning system evaluation evaluation application at the Faculty of Teacher Training and Education, Dehasen University Bengkulu, was created using the PHP programming language and MySQL database. This application can be accessed online via the link http://belyna.vadapp.my.id/, so students can fill out the assessment anywhere and anytime. Based on the tests that have been carried out, the results show that the functionality of the online learning system evaluation evaluation application at the Faculty of Teacher Training and Education, Dehasen University Bengkulu runs as expected.
effectiveness of online Mathematics learning

This study aims to analyze the effectiveness of online Mathematics learning. It employed qualitative research design with case-study technique. Subjects of this study were 7th graders from five different classes at Madrasah Tsanawiyah Negeri 1 Malang. Data collection methods were observations, documents of zoom learning, and interviews with student guardians. The obtained data were analyzed through data description. Results showed that there were disturbances in the online learning activities. Among the problems were student punctuality and unstable internet connection activities. During the online learning, most students could not follow the lesson very well, and only few responded to the teachers. There were also problems in students’ monitoring and evaluation. These aspects of learning activities, students’ responses, and monitoring and evaluation implied that online Mathematics learning was ineffective.
Political Discourse Analysis of Jokowi vs Prabowo Subiyanto Speeches in the First Presidential Election Debate: Critical Thinking Perspectives

This paper aims to discuss the issues of political news that happened in our country, and it is hot -news that was recently conducted by the Indonesian Government. It is the general election of the President. In the process of the Presidential Election, there is a crucial process, and it is the deba
A Fault Tolerant Scheduling Model for Directed Acyclic Graphs in Cloud

Many High Performance Computing (HPC) and resource intensive applications have been tested and migrated to the Cloud. These applications may have high data input size, which often has a high correlation to execution performance and time. Migration to the Cloud demands adaptation of the fault tolerance (FT) and scheduling approaches. Although those topics are well connected, they are often treated separately. This work proposes a novel integrated scheduling and FT model which takes into account the characteristics of the tasks and the target execution nodes. Preliminary results indicate good potential to improve system reliability and execution makespan of scientific workflows.
Human activity recognition in RoboCup@home: Inspiration from online benchmarks

Human activity recognition is an important aspect of many robotics applications. In this paper, we discuss how well the RoboCup@home competition accounts for the importance of such recognition algorithms. Using public benchmarks as an inspiration, we propose to add a new task that speciﬁcally tests the performance of human activity recognition in this league. We suggest that human-robot interaction research in general can beneﬁt from the addition of such a task as RoboCup@home is considered to accelerate, regulate, and consolidate the ﬁeld.
Exploring Strategic Opportunities for Better Learning. Student Concerns at a Private University

This work documents the first actions that have been carried out to generate organizational strategies aimed at achieving a better learning experience among university students. As a result of the confinement conditions imposed by the pandemic since 2020, it is estimated that eventually a hybrid education system will be reached where remote and face-to-face formats are combined. Anticipating which are the best practices that can be developed in each modality, a study was carried out among several students of a Mexican Higher Education Institution where the concerns they have about their learning experience were explored. This is a mixed investigation, where, based on the results of a survey among a non-probabilistic population sample, a strategic analysis of organizational opportunities was carried out for its application in a specific university space. The discussion section offers some of the conclusions obtained, as well as concrete actions that are being evaluated in pilot tests with students from a private university.
The Students’ Difficulties in Reading Comprehension at The Second Semester of English Department at Batanghari University

This study focuses on the difficulties faced by the second semester students of Batanghari University in reading comprehension. The purposes of the study were to find out the difficulties faced by the second semester students Batanghari University and to find out the factors of difficulties in reading comprehension. The method applied was descriptive quantitative, where the test and questionnaire were used as the instrument data collection methods. The test consisted of 15 question items divided into three kinds of test and 20 questionnaires, which were descriptive text, narrative text and recount text. Index difficulty and percentage were used to analyze the data. The result of the test showed that the majority of the second semester of Batanghari University found difficulties including answering main idea, making inference, and locating reference questions. The most difficult aspect that encountered by the second semester students of Batanghari University was finding main idea questions, because the located main idea was difficult to find. In addition, based on the students’ responses in questionnaire, they mostly got difficulties in understanding vocabulary, background of knowledge, the difficulty in understanding long sentences, lack of working memory, less motivation/attention to learning reading, lack of knowledge of strategies in reading comprehension.Keyword: Students Difficulties, Reading Comprehension.
Interactive Causal Structure Discovery in Earth System Sciences

Causal structure discovery (CSD) models are making inroads into several domains, including Earth system sciences. Their widespread adaptation is however hampered by the fact that the resulting models often do not take into account the domain knowledge of the experts and that it is often necessary to modify the resulting models iteratively. We present a workflow that is required to take this knowledge into account and to apply CSD algorithms in Earth system sciences. At the same time, we describe open research questions that still need to be addressed. We present a way to interactively modify the outputs of the CSD algorithms and argue that the user interaction can be modelled as a greedy finding of the local maximum-a-posteriori solution of the likelihood function, which is composed of the likelihood of the causal model and the prior distribution representing the knowledge of the expert user. We use a real-world data set for examples constructed in collaboration with our co-authors, who are the domain area experts. We show that finding maximally usable causal models in the Earth system sciences or other similar domains is a difficult task which contains many interesting open research questions. We argue that taking the domain knowledge into account has a substantial effect on the final causal models discovered.
Efektivitas Penggunaan Alat Peraga Kartu Bilangan Untuk Meningkatkan Hasil Belajar Siswa Kelas II SD Dalam Memahami Lambang Bilangan

&lt;p&gt;&lt;em&gt;The use of the Number Card teaching aid in Class II SDN Kubangsari 01, in general, has the aim of improving student learning outcomes in MTK mupel in writing number symbols up to 900. The research method used is experimental technique. Based on the experimental results of the average student learning outcomes before being given treatment in the form of learning using number card props, the average value of these students (pretest) was only 50.33 and after being given treatment in the form of learning using number card props the average value The average of these students (posttest) became 75.00 with a KKM of 60. This result means that the use of the Number Card teaching aids can improve the learning outcomes of MTK mupel students, especially the number symbol material in Class II SDN Kubangsari 01.&lt;/em&gt;&lt;/p&gt;
Pengembangan E-Commerce Tembe Nggoli (Sarung) Khas Bima Berbasis Web Responsive di Desa Nata

Tembe Nggoli is a typical Bima sarong made by weaving which is still preserved by the community in Neta Village, Palibelo District, Bima Regency. Tembe Nggoli is a hand-crafted art that has been passed down from generation to generation for the sake of preserving the weaving art. Currently, the selling process of Tembe Nggoli is still manual or conventional by selling directly to the public without marketing media so that it is only known by the surrounding community. This resulted in relatively lower income from the sale of Tembe Nggoli, so the process of returning capital was very slow. These problems can be solved by developing e-commerce in the sales process or introducing the craft. The purpose of this research is to build an e-commerce selling Tembe Nggoli based on a responsive website. The method used in building this application is the Software Development Life Cycle (SDLC) with the Waterfall Model. The results of this study have resulted in an e-commerce application selling the Tembe Nggoli Khas Bima sarong that is web-based responsive, so that the appearance of the application can adapt to various types of devices. With this application, it is expected to be able to provide convenience in the shopping process that can assist consumers in finding the desired product quickly and done anywhere and anytime. In addition, this application provides various kinds of information related to Tembe Nggoli products. Testing this system using blackbox testing which states that the system has been running in accordance with the functionality and procedures that are the purpose of developing the system. The functional suitability of the built system reaches 100%.
TEACHER’S FEEDBACK ON WRITING RECOUNT TEXT ON THE GRADE EIGHT STUDENTS OF MTS TARBIYAH ISLAMIYAH HAJORAN

The objective of the study were investigate the types of teacher’s feedback on writing which given by the teacher’s and to find out how the teacher’s gave feedback on writing recount text on the grade eight, to elaborate the reasons of the teacher conducting the feedback on students writing of grade eight in MTs Tarbiyah Islamiyah Hajoran. This research used descriptive qualitative method and the data were collected through documentation and interview. The data was analyzed in four steps: 1). Data Collection, 2) Data Condensation, 3) Data Display, 4) Conclusion and Drawing/ verifying. The findings There were two types of feedback found on students’ writing recount text on the grade eight students of MTs Tarbiyah Islamiyah Hajoran. They were : Direct and Indirect. First the teacher gave direct feedback by giving some signs to indicate their error words such as circle,line and crosswise then provide the corect form directly. The teacher also added the letters or words to make the clear sentence. Direct feedback which is provided in the 37 of the total feedback and has perecentage as many as 79%. Second , it was indirect feedback, the indicated the students error exists without gave the correct form. It has many percentages 21% of 10 the total feedback. Based on the analysis interview, the reason why the teacher used those types of feedback on students’ writing was because it could make the students’ have more vocabularies and the students did not think more about what was the correct word. In conclusion, teacher’s feedback are important to make student aware of making mistake on their writing task. The finding suggested that the English teacher should give the written feedback to students’ writing task to enable the improve the writing skill.Keywords: Teachers’ feedback, Students, Recount Text, Writing
Penerapan Kamus Kalimat Bahasa Bali Untuk Wisatawan

The application of Natural Language Processing (NLP) in the Balinese sentence dictionary is an application that can provide information about the meaning of Indonesian to Balinese translation using the words contained in the Indonesian pocket dictionary, the results or meanings obtained are based on the application of Natural Language Processing (NLP) in accordance with the stipulated provisions. This application does not translate per word but per sentence. The application of NLP in the Balinese sentence dictionary serves to provide convenience for tourists or users who are used to communicate with the Balinese people and understand the Balinese language itself. In addition, it can provide time efficiency to users because this application is built offline on the Android mobile operating system, so that it can be accessed anywhere and anytime. In its implementation, the waterfall method is used and the output of this application is Indonesian sentences to Balinese sentences. And in the development of this application used tools with UML (Unified Modelling Processing) which consists of use case diagrams, activity diagrams, sequential diagrams, statechart diagrams and class diagrams. Keywords: Dictionary, Natural Language Processing (NLP), Balinese
Introduction to MSME Products in Sidoarjo Regency Using Augmented Reality

Explanation of UMKMs (Micro, Small, and Medium Enterprises) is a business that has a very important role in the economy of a country, both in terms of the existing in the field of employment or created in terms of the number of businesses that exist. Explanation of UMKMs in terms of micro enterprises can also be interpreted as businesses owned by individuals or a productive economic business entity in accordance with the criteria of various micro, small, and medium enterprises. The purpose of this research is so that students can design an application that is able to display 3D objects of UMKM products, and also to introduce UMKM products to consumers more easily and more efficiently. The method used is marked based tracking, then used as a marker is a card with a picture of UMKM products, and also augmented reality is using vuforia library as a database of UMKM product identifiers displayed, and unity engine software using the C# programming language. The result of the research obtained is an augmented reality application that can bring up UMKM products in the form of a virtual 3-dimensional object display. The benefit of this research is that the augmented reality application of UMKM products can make it easier for manufacturers to introduce their products to consumers.
School safety and existing legal provision guiding in the context of Nepal

Disaster has impacted the education sector in Nepal. It has disrupted the teaching and learning system with an increased dropout rate of students. Furthermore, it has shaken the resilience of the local communities. Due to this situation, children are exposed to a vulnerable situation and lack a safe learning environment. To mitigate this risk, most of the countries have adopted the comprehensive safe school framework. It is expected to be effective measures in Disaster Risk Reduction in education. In the context of Nepal, Comprehensive School Safety (CSS) legal provisions have been formulated in principle but lack its implementation at school and local level. This article explores the existing guiding provisions contributing to safe schools. The desk study was conducted on the basis of published literature and analyzed. The findings revealed that education is seriously impacted by disaster each year, and there is an inadequate implementation of the existing legal provisions at the local and school level. In addition to that, after disasters situation, school dropouts has been increased, and equal access to education has been challenged and more importantly, teaching and learning process are not continued. This has questioned the effective implementation of CSS and challenged the existing legal provision.
Nickel anomalies and gold-quartz mineralization in dunite-harzburgite massifs of the Pervomaisko-Verkhoturinskaya area, Central Urals

Along with some gold-quartz deposits hosted by dunite-harzburgite massifs elsewhere in the Urals, elevated Ni concentrations were revealed within the ore field of the Anna gold-(sulfide)-quartz deposit localized in weathered oxidized dunites and harzburgites of the Pervomaisky complex (συO2p) in the Pervomaisko-Verkhoturie district of the Central Urals. The spatial association of Au and Ni concentrations in dunites-harzburgites may be attributed to a partial inheritance of Ni-controlling tectonic dislocations by those hosting gold mineralization. Therefore, the combination of halos of Ni and Au concentrations in dunite-harzburgite massifs is a favorable indicator of areas prospective for discovery of goldquartz mineralization.
Face Recognition Based on Statistical Texture Features

Facial recognition has attracted the attention of researchers and has been one of the most prominent topics in the fields of image processing and pattern recognition since 1990. This resulted in a very large number of recognition methods and techniques with the aim of increasing the accuracy and robustness of existing systems. Many techniques have been developed to address the challenges and reliable recognition systems have been reached but require considerable processing time, suffer from high memory consumption and are relatively complex. The focus of this paper is on extracting subset of descriptors (less correlated and less calculations) from the co-occurrence matrix with the goal of enhancing the performance of Haralick’s descriptors. Improvements are achieved by adding the image pre-processing and selecting the proper method according to the database problem and by extracting features from image local regions.
Yunnan Ancient Mural Restoration Based on Deep Learning

Abstract Image restoration is an important part of the research in the field of computer vision. Its purpose is to automatically recover lost content based on known content in mural images, in mural image editing, film and television special effects production, virtual reality and digital cultural heritage protection. The field has a wide range of application values. In the method of image restoration based on deep learning, the design of the deep learning network and the selection of the loss function in the training process are important contents. Each method has its own advantages and disadvantages and its scope of application. How to improve the semantics of the repair result? The correctness of sex, structure and detail has always been the direction of researchers’ efforts. Based on this purpose, this paper summarizes the main features, existing problems, requirements of training samples, main application fields and references through various methods. Code. Based on the research of deep learning mural image restoration, some significant progress has been made. However, the application of deep learning in mural image restoration is still in its infancy. The main research content is only the mural image content information of the mural image itself to be repaired. Therefore, the restoration of mural image based on deep learning is still a challenging subject. How to design a universal repair network to improve the accuracy of the repair results requires more in-depth research.