Reviewerly/exHarmony huggingface dataset:
PENINGKATAN KETERAMPILAN MENULIS TEKS DESKRIPSI MENGGUNAKAN METODE MIND MAP

This research was conducted to improve the skills of writing descriptive texts through the mind map method of class VII-C students of SMP Muhammadiyah 9 Bojonegoro in the 2020/2021 school year. The type of research used in this research is Classroom Action Research (CAR), which means that this research is in the form of reflective research by taking certain actions in order to improve and / or improve learning practices in the classroom professionally. Therefore, CAR is expected to improve the quality of learning and be successful. The implementation of learning to write descriptive text using the mind map method can work well. This can be seen from the results of observing student activity in cycle I, as many as 14 students did learning activities very well, 7 students did learning activities well, 4 students did activities quite well, and 2 students did activities poorly, while in cycle II, as many as 14 students did learning activities very well, 9 students did learning activities well, 4 students did activities quite well. In cycle II, there were no students who did learning activities poorly so that there was an increase in learning activities for the better. In addition, the results of the observation of the value of students' attitudes in cycle I obtained data as many as 13 students who had very good attitudes, 7 students had good attitudes, 5 students had sufficient attitudes, and 2 students had less attitudes in following the learning process. This result is categorized as good, while in cycle II, as many as 13 students had a very good attitude, 11 students had a good attitude, and 3 students had sufficient attitudes in following the learning process and this result was categorized as very good because there was an increase from the previous cycle.
BEING: BODY, EMOTIONS, TECHNOLOGY

The recent and ongoing sanitary emergency has brought drastic changes that have involved people all over the world in various ways; on the educational side, there has been a huge increase in the presence of technology within the learning processes and environments, either real or virtual ones. The latter type has seen a blooming of different offers, new situations, and related issues and opportunities. The interaction between humans and technology has been ongoing and even more ubiquitous in recent years; to keep it balanced and deploy its full potential for human development and wellbeing, as individuals and members of society, the human being, with a body, emotions and interactions with the environment, must be the focus of the reflection by experts in all areas. As far as education, technology can impact it positively, if we take into consideration the aforementioned reflection; in doing so, we could avoid unfavourable consequences of improper use, and reap the benefits of a fruitful interaction, either in the family, at school and in the new technology-rich learning environments.
현대 기계 개념에서 본 미디어콘텐트

The purpose of this study is to facilitate the reading of interactive storytelling among media content by considering it as a concept of modern philosophy. Modern media users are not satisfied with a single-medium story and seek to enjoy the story they want in the way that they want. The development of the technology market and the mobile environment has laid the foundation for users to share their personal experiences to create, consume, and distribute stories through various media. A story can progress abundantly if it is a rich story. These techniques have similarities to modern concepts. In this study, we initially examine the characteristics of generations, which are the most important strategic factors in relation to content consumption. Technological advances and rapid generation changes also affect media devices and content. This study motivates the reader to think about the authors of modern media content based on an understanding of the rapidly changing media age. It is significant to discuss both the original and the author at this point in the creation of AI. Finally, this study describes the characteristics of media content as a modern concept. The modern concept is a broad model which holds that everything in the world can be considered as a with flexibility, variability, and interactivity. The content reveals the aspects of the transformation according to the terms of access and constantly operates to enrich the story. This is analogous to a machinique machine, which works proactively. Content based on interaction moves and works by itself, and the machine operates according to the mechanical imagination, that is, via inherent dynamics during mechanical unconsciousness. This study suggests the idea of a machine, i.e., content that operates on its own, by describing cultural and social characteristics, content examples, and the modern mechanical imagination.
Case study : Pengusaha Songkok Afiq Asyraf / Nurul Afifah Ariffin

This study was done to bring an idea of how to implement a technology solution in real life based on what students have studied in Technology Entrepreneurship. In order to get this task done, ‘Pengusaha Songkok Afiq Asyraf’ has been selected as a company to be interviewed. A lot of information has been obtained during the interview session.The purpose of this study is to identify few problems experienced by the company. Besides, the objective of this study is also to analyze the company by using strength, weakness, opportunity, and threat (SWOT) analysis. Finally, to identify solution to the problems recognized. A few solutions for each problem will be recommended since different problem demands different solution.In general, this company had to face few problems. The major problem is lack of storage space since they produced a large quantity of songkok. Other than that, they also have a problem with the furniture used whereby the chairs and tables are uncomfortable. Apart from that, they still have a deficiency of the technologies used. The company primarily used approximately 60 percent of its labor force and 40 percent of its machinery in the production.Hence, a few solutions has been suggested to overcome the problems. There are a few alternative solutions that has been recommended to the company for their business to improve in order to have a better future in the business field.
Employability of Neural Network Tools and Techniques for Enhancing Image Caption Generation

Nowadays, there is massive research in generating automatic image caption; this technique is very challenging and uses Natural language processing. For instance, it could assist incapacitated people with improving the matter of images on the web. Likewise, it could give more precise and minimized images/recordings in situations, such as picture sharing in interpersonal organization or video surveillance system. The structure comprises a convolutional neural organization (CNN) traced by a repetitive neural organization (RNN). The strategy can produce picture sayings that are generally semantically unmistakable and linguistically right by taking in information from picture and subtitle matches. Individuals, for the most part, depict a scene utilizing characteristic languages which are concise and reduced. However, computer vision frameworks define the set by taking a picture which is a two-measurement presentation. The plan is to picture and engrave similar places and projects from the image to the sentences.
The $b$-weight distribution for MDS codes

For a positive integer $b\ge2$, the $b$-symbol code is a new coding framework proposed to combat $b$-errors in $b$-symbol read channels. Especially, the $2$-symbol code is called a symbol-pair code. Remarkably, a classical maximum distance separable (MDS) code is also an MDS $b$-symbol code. Recently, for any MDS code $\mathcal{C}$, Ma and Luo determined the symbol-pair weight distribution of $\mathcal{C}$. In this paper, by calculating the number of solutions for some equations and utilizing some shortened codes of $\mathcal{C}$, we give the connection between the $b$-weight distribution and the number of codewords in shortened codes of $\mathcal{C}$ with special shape. Furthermore, note that shortened codes of $\mathcal{C}$ are also MDS codes, the number of these codewords with special shape are also determined by the shorten method. From the above calculation, the $b$-weight distribution of $\mathcal{C}$ is determined. Our result generalies the corresonding result of Ma and Luo.
Visual recognition incorporating features of self-supervised models for the use of unlabelled data

Automatic visual object recognition has gained great popularity in the world and is successfully applied to various areas such as robotics, security or commerce using deep learning techniques. Training in machine learning models based on deep learning requires an enormous amount of supervised data, which is expensive to obtain. An alternative is to use semi-supervised models as co-training where the views given by deep networks are differentiated using models that incorporate lateral information from each training object. In this document, we describe and test a co-training model for deep networks, adding as auxiliary inputs to self-supervised network features. The results show that the proposed model managed to converge using a few dozen iterations, exceeding 2 % in precision compared to recent models. This model, despite its simplicity, manages to be competitive with more complex recent works. As future work, we plan to modify deep self-supervised networks to increase diversity in co-training learning.
Distributed Data-intensive Web Service Composition

&lt;p&gt;Service-oriented architecture (SOA) encourages the creation of modular applications involving Web services as the reusable components. Data-intensive Web services have emerged to manipulate and deal with the massive data emerged from technological advances and their various applications. Distributed Data-intensive Web Service Composition (DWSC) is a core of SOA, which includes the selection of data-intensive Web services from diverse locations on the network and composes them to accomplish a complicated task. As a fundamental challenge for service developers, service compositions must fulfil functional requirements and optimise Quality of Service (QoS), simultaneously. The QoS of a distributed DWSC is not only impacted by the QoS of component services and how the compositions are generated, but also by the locations of services and data transformation between services. However, existing works often neglect the impact of locations and data on service composition. The distributed DWSC has not been sufficiently studied in the literature. In this thesis, we first define the single-objective distributed DWSC that includes communication (e.g. bandwidth), Web service (execution time) and data (data cost) attributes. To this aim, we consider bandwidth information of communication links obtained using the location information of services. Based on the problem formulation, we then address the distributed DWSC problem by developing EC-based approaches. Those EC-based approaches are designed to incorporate domain-knowledge for effectively solving the distributed DWSC problem. Afterwards, we study the multi-objective distributed DWSC to satisfy different QoS requirements. In particular, the QoS-constrained distributed DWSC problem and user preferences are considered. For finding trade-off solutions for those problems, new Multi-objective Evolutionary Algorithms (MOEAs) are proposed based on the current Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Furthermore, a new problem formulation for the dynamic distributed DWSC (D2−DWSC) problem with bandwidth fluctuations is proposed. An EC-based approach is developed to solve the D2-DWSC. Finally, extensive empirical evaluations are conducted that demonstrate the high performance of our proposed methods in finding composite services with good QoS.&lt;/p&gt;
Exploring the English reading habits among teenagers / Azrina Abu Bakar

Reading is part of literacy. Despite boasting a high Malaysia’s literacy rate, educationists and social analysts lament that the reading habits among Malaysians has dwindled with the prevalence of digital devices. The issue that this study addresses is the lack of teenagers in English reading. To address this problem, the purpose of this study was to investigate the English reading habits of English as a Second Language (ESL) students at Universiti Teknologi MARA (UiTM) Melaka, Malaysia in order to gain insights on their English reading culture. This study also examined the influences of school or university culture and family culture on students’ reading habits. To gather data, 100 students were selected randomly to complete a questionnaire. The data were analysed using the Statistical Package for Social Science (SPSS) Statistics 17.0 software. Furthermore, interviews with four students were conducted. The interviews were transcribed and analysed. From the statistical data, it was revealed that the students’ reading habits is still considered quite low. The researcher also found that family culture impacts the students’ reading habit. Some recommendations were made to educators, the librarians, and parents to nurture the students’ English reading habits.
The Students’ Needs in Learning Research Methodology in Linguistics

This study aims at investigating the students’ needs analysis in learning Research in Linguistics at a university in Indonesia. Its main focus is on the students’ academic needs including difficulties of the materials, learning methods, styles and goals, level of understanding on linguistic research issues, course planning, instructional materials and practices, and evaluation. Using descriptive analytical method, a set of questionnaires was employed in Likert-scale formula. It encompassed samples of 105 learners of English Letter’s study program of the university. To validate the finding of the questionnaire, semi-structured interview to the lecturers and the students were also conducted. It results in that the leaners need; 1) the suitability of the materials composition for learners’ need; 2) using group discussion method in learning activity; 3) a step-by-step process to support practical experience in collecting and analyzing data; 4) Overtly relating components of an academic journal article to the elements of developing a research project. The study ends with a recommendation for composing course materials of Research in Linguistics suited with the afore-mentioned findings.
The effectiveness of online learning during social distancing

This study aims to investigate the causes of the online learning ineffectiveness at State Junior High School (SMPN) 3 Pendopo. The design of the study was a field research. The subjects of the study consisted of teachers, administrative staff, and students in grade 7 that were recruited using purposive sampling technique. The data were collected by conducting online interviews, observations, and data identification. Data were then analyzed using the inductive approach of Miles and Huberman, which included collecting data, reducing data, presenting data, and drawing conclusion. The results of the study showed that at SMPN 3 Pendopo, online learning system has not run well due to inefficient method, inadequate facilities and infrastructures, and students’ lack of awareness of the importance of online learning.
Implementation Of Reversible Logics On Combinational Circuits For Optimum Performance

In recent years, reversible gate  has emerged as  most exciting research mission for least power loss circuit design, with applications towards low power CMOS, cryptography and image processing .Also in  nanotechnology, this proposal  introduces a novel and quantum cost effective reversible complete adder circuit . This gate which is proposed is used as a reversible complete adder device on its own. It isverified that the proposed gate has less hardware configuration than its current counterparts.The researchers' theoretical minimum is also met by the proposed reversible multiplier.In comparison to the previous design, the new design has shown to be more successful.
DESIGN OF DECISION SUPPORT SYSTEM APPLICATION FOR EMPLOYEE PERFORMANCE ASSESSMENT USING WEIGHTED SUM MODEL (WSM) METHOD IN PT VELOXA VIGGO INTI TEKNOLOGI

PT. Veloxa Viggo Inti Teknologi is a telecommunication service company which requires employees who have extensive skills and insight so that in the future they can make the company grow rapidly. Employees who have broad skills and insight can influence the profits that the company gets. Therefore, managers need a decision-making system that can assist companies in assessing employees with company work standards
Peculiarities of the Sound Space of Ritual Actions in Richard Schechner’s Theatrical Performance “Dionysos-69”

The article dwells upon the issue of the specificity of sound space in Richard Schechner’s theater. Upon examination of the history of formation of performativity as the most important component of the nature of contemporary culture, the factors which have stipulated its transformation in interaction with the relevant forms of theater are highlighted. The peculiarities of the development of performative practices in the history of theater, the chronotope of theatrical communication are studied based on the research works of Daria Demekhina, Hans Thiess Lehmann, Dmitri Trubockin, Erika Fischer-Lichte, Richard Schechner and others. During the process of research of the sound component in Schnechner’s productions, special attention is given to the ritualistic elements, which create the compositionally-dramaturgical framework of the theatrical performance. In her conclusions the author notes that the reconstruction of the Ancient Greek myth in the context of the space of Schechner’s theater has created unique conditions for the interaction between the visual and the sound components of the performance, which disclosed new possibilities for theater as one of the forms of communication capable of uniting society. Research of the sound space of the performance makes it possible to determine the conditions of formation of a special chronotope of performative practices as a significant component of the nature of contemporary art. Keywords: “Dionysos-69,” the works of Richard Schechner, the sound space of ritual actions, the history of performance.
Tourbillon: a Physically Plausible Neural Architecture

In a physical neural system, backpropagation is faced with a number of obstacles including: the need for labeled data, the violation of the locality learning principle, the need for symmetric connections, and the lack of modularity. Tourbillon is a new architecture that addresses all these limitations. At its core, it consists of a stack of circular autoencoders followed by an output layer. The circular autoencoders are trained in self-supervised mode by recirculation algorithms and the top layer in supervised mode by stochastic gradient descent, with the option of propagating error information through the entire stack using non-symmetric connections. While the Tourbillon architecture is meant primarily to address physical constraints, and not to improve current engineering applications of deep learning, we demonstrate its viability on standard benchmark datasets including MNIST, Fashion MNIST, and CIFAR10. We show that Tourbillon can achieve comparable performance to models trained with backpropagation and outperform models that are trained with other physically plausible algorithms, such as feedback alignment.
Momentum Contrast Self-Supervised Based Training for Adversarial Robustness

By the rapid progress of deep learning and its use in a variety of applications, however, deep networks have shown that they are vulnerable to adversarial examples. Recently developed researches show that using self-supervised learning (SSL) in various ways results in increasingnetwork robustness. This paper examines the effect of a particular type of Contrastive SelfSupervised learning (CSSL) called Momentum Contrast (MoCo) on increasing network robustness to adversarial examples. For this purpose, MoCo is employed as a pre-text task and a deep network is pre-trained for this task. Then fine-tuning will cause to increase the robustness of the network against adversarial attacks examples. A new attack method is introduced based on MoCo and one of the Projected Gradient Descent (PGD) or Fast Gradient Sign (FGSM) methods that do not require any labeled data. Using this corrupted data and adversarial training method, a deep network is pre-trained and the representation provided by it is used to fine-tune downstream tasks that results in increasing network robustness. For an instance, the setup including Resnet50 structure, PGD attack, and MoCo-v1 shows 2.79%, 2%, and 1.35% of improvements comparing to the Jigsaw, Rotation, Selfie, respectively. More details of experiments and the improvements raised by MoCo are given in the results part and show the superiority of MoCo based models on CIFAR-10 and CIFAR-10-C datasets. Also, the obtained results for validating the robustness of proposed models against various noises with different corruption strengths, confirm the resistance of the proposed methods.
Auditing for Diversity using Representative Examples

Assessing the diversity of a dataset of information associated with people is crucial before using such data for downstream applications. For a given dataset, this often involves computing the imbalance or disparity in the empirical marginal distribution of a protected attribute (e.g. gender, dialect, etc.). However, real-world datasets, such as images from Google Search or collections of Twitter posts, often do not have protected attributes labeled. Consequently, to derive disparity measures for such datasets, the elements need to hand-labeled or crowd-annotated, which are expensive processes. We propose a cost-effective approach to approximate the disparity of a given unlabeled dataset, with respect to a protected attribute, using a control set of labeled representative examples. Our proposed algorithm uses the pairwise similarity between elements in the dataset and elements in the control set to effectively bootstrap an approximation to the disparity of the dataset. Importantly, we show that using a control set whose size is much smaller than the size of the dataset is sufficient to achieve a small approximation error. Further, based on our theoretical framework, we also provide an algorithm to construct adaptive control sets that achieve smaller approximation errors than randomly chosen control sets. Simulations on two image datasets and one Twitter dataset demonstrate the efficacy of our approach (using random and adaptive control sets) in auditing the diversity of a wide variety of datasets.
Exploration of College English Ecological Teaching Under the Multimedia Network Environment

Ecological teaching model, derived from the concept of ecological development, attracts more and more educators attention.To promote the ecological teaching of college English and establish an ecological teaching system, it is of great significance to optimize English teaching resources, create English teaching context, innovate English teaching methods and the teaching evaluation system, which is not only the objective demand of the English teaching reform, but also the inevitable choice to improve the quality of English teaching and realize effective teaching.This paper briefly summarizes the characteristics and the significance of carrying out ecological teaching, and puts forward the construction model, in order to contribute to the reform of college English teaching.