Reviewerly/exHarmony huggingface dataset:
Intelligent Feature Extraction for Handwritten Tamil Mantra Recognition in Slogans by using PCA based Deep Convolutional Neural Network

Offline handwritten identification of characters is a core problem in pattern matching. The main challenge for researchers in the identification of handwritten characters is inscribing individual styles. Tamil mantras identification is a challenging job due to many missing features in the mantras ' complex structure. The problem at hand is to break traditional hand-designed features. A new venture has been undertaken to automatically extract the complex features for recognition and classification from the complex structure bypassing the individual Tamil characters into the Convolutional Neural Network, a special type of deep learning network. The best convolutional model was chosen to improve efficiency by comparing different convolutional models that vary in activation functions, classifiers, and pooling functions. Principal Component Analysis (PCA) was used to select the top n eigenvectors from the image for better efficiency. So with the above trained best model with PCA for independent Tamil character images, handwritten Tamil fonts in the slogans (a group of characters) have been well recognized.
High-Capacity Reversible Data Hiding in Encrypted 3d Mesh Models Based on Multi-Msb Prediction

The interaction of massive data in the network world poses a enormous threat to data security. Reversible data hiding in encrypted domain (RDH-ED) technology ensures the security of data storage. With the advancement of multimedia technology, three-dimensional (3D) models are widely used on the network. Recently, 3D models have also been used by researchers as cover mediums for RDH-ED technology. However, it is still challenging to improve the embedding rate under the premise of ensuring reversibility. This paper proposes an RDH-ED method to improve the embedding rate significantly, and the 3D mesh model can be restored after data extraction. Firstly, the vertices of the 3D mesh models are classified into “embedded set” and prediction set” based on odd-even property of indices. Based on the high correlation of the two sets, multiple most significant bit (multi-MSB) prediction is adopted to calculate room redundancy. Arithmetic coding compresses auxiliary information generated during the reserved room phase to further free up space. In addition, the correlation between two sets is used to recover vertices that were modified due to data hiding. Experimental results show the proposed method greatly improves the embedding rate compared with state-of-the-art methods and guarantees model recovery with high quality.
PEROVSKIT MTiO3 (M= Ca, Sr, Ba) SEBAGAI FOTOANODA SEL SURYA TERSENSITISASI ZAT BIKSIN

Telah dilakukan penelitian perovskit MTiO3 (M=Ca, Sr, Ba) sebagai fotoanoda sel surya tersensitisasi zat warna alam biksin. Penelitian ini bertujuan untuk membandingkan karakter CaTiO3, SrTiO3 dan BaTiO3 serta korelasinya sebagai elektroda hibrida sel surya TiO2 tersensitisasi zat warna alam biksin. Sel surya TiO2 digunakan sebagai variabel kontrol. Preparasi pelapisan perovskit dilakukan dengan cara membuat larutan setiap jenis perovskit dengan konsentrasi 0,1 M dengan pelarut etanol kemudian dittambahkan dua tetes triton X-100 dan tiga tetes HNO3 1,4 M. Produk dikalsinasi pada suhu 550 Â°C selama 2 jam. Material dikarakterisasi dengan X-Ray Diffractometer (XRD) untuk mengetahui kristalinitas material, Scanning Electron Microscope (SEM) untuk mengetahui morfologi material, analisis SR-UV untuk mengetahu energi celah pita material dan uji I-V untuk mengetahui efisiensi sel surya. Hasil karakterisasi menunjukkan ukuran kristal rata-rata TiO2, CaTiO3, dan SrTiO3 dan BaTiO3 pada film TiO2/FTO berturut-turut 60,85; 81,10; 82,40 dan 44,87 nm. Analisis spektra absorpsi UV-Vis menunjukkan nilai energi celah pita TiO2/FTO, CaTiO3/TiO2/FTO, SrTiO3/TiO2/FTO dan BaTiO3/TiO2/FTO berturut-turut 3,20; 3,29; 3,22 dan 3,27 eV. Nilai efisiensi sel surya tertinggi adalah sel surya berbasis SrTiO3/TiO2, kemudian sel surya berbasis TiO2/FTO, BaTiO3/TiO2/FTO dan terakhir CaTiO3/TiO2/FTO dengan nilai efisiensi berturut 0,089; 0,058; 0,040 dan 0,035%. Perovskite MTiO3 (M = Ca, Sr, Ba) has been prepared as the films used for photoanodes in bixin natural dye-sensitized solar cells. This study was aimed to compare the properties of CaTiO3, SrTiO3 and BaTiO3 and their correlation as hybrid electrodes of TiO2 solar cells sensitized by bixin natural dye. TiO2 solar cells were also studied as a control variable. The perovskites coating on FTO (F-doped tin oxide) conductive glasses were carried out from a paste made of 0.1 M of the perovskite in ethanol, two drops of Triton X-100 and three drops of 1.4 M HNO3. The product was calcined at 550 Â°C for 2 h. The powder precursors and films were characterized by X-Ray Diffractometer (XRD) to determine the crystallinity of the material, Scanning Electron Microscope (SEM) to determine material morphology, SR-UV Vis spectrophotometer to determine the bandgap energy of the materials. The constructed solar cells were then analysed by I-V (current to voltage) tests to determine the efficiency of solar cells. Based on the XRD data, it is shown that the average crystallite size of TiO2 film on FTO, CaTiO3, SrTiO3 and BaTiO3 films on TiO2/FTO film are 60.85, 81.10, 82.40 and 44.87 nm, respectively. The UV-Vis absorption spectra analysis showed the value of the bandgap energy of the same films are 3.20, 3.29, 3.22 and 3.27 eV. The order of solar cell efficiency is SrTiO3/TiO2/FTO- >TiO2/FTO- > BaTiO3/TiO2/FTO- >CaTiO3/TiO2-based solar cells with the efficiency of 0.089; 0.058; 0.040 and 0.035%, respectively.
ANALYTIC ASSESSMENT ON STUDENTS’ ABILITY IN WRITING DESCRIPTIVE TEXT (The Case at the Second Semester Students of English Education Department, Universitas Pancasakti Tegal in the Academic Year 2018/2019)

This study is aimed at describing students’ ability in writing descriptive texts viewed from analytic assessment presented by O’Malley and Pierce, involving composing, style, sentence formation, usage and mechanics. The study was conducted by applying a descriptive quantitative-qualitative method. The data were taken from 15 descriptive texts made by the second semester students of English Department, Pancasakti University Tegal 2018/2019. The result of the study shows that there are 33.4% of the students are “good”, 40% of the students are “fair”, and 26.6% of the students are “bad”. The students mean score is 65 (fair), and the scores of each components are as follows: composing is 71.6, style is 66.2, sentence formation is 60, usage is 55.7, and mechanics is 55. The result also shows that the texts are developed trough correct generic structure involving identification and descriptions. The writer suggested that the students need to study harder and practice more frequently to increase their writing ability, specifically in mechanics as their weakness in writing.&#x0D;
Motivating Sustainable Recycling Practices Through Persuasive Technologies

Despite the importance of recycling in the current and pressing context of preserving the environment, it is still not adopted by all of us. Several mobile tools have become available with the aim of sensitizing and motivating the population towards sustainable behaviours, with limitations in information availability and in integration with formal as well as informal sources. Moreover, persuasive characteristics, such as the use of gamification also need improvement towards raising competitiveness (and awareness) in the targeted community. The authors thus propose a mobile responsive gamified application for motivating recycling attitudes centred around an interactive map, supported by the curated data of one of the reference companies of the environmental sector in the region. The app includes collaborative persuasive elements as well as validation processes for crowdsourced content proposed by the community. The results of an evaluation process, with promising results, are described.
Aspect Fusion Graph Convolutional Networks for Aspect-Based Sentiment Analysis

Aspect-based sentiment classification aims to distinguish the sentiment polarities over aspect terms in a sentence. Recent approaches to aspect-based sentiment classification use graph-based models to integrate the syntactic structure of sentences. While being practical, these methods ignore the close relationship between the topological structure of the dependency tree and the dependency distance. To solve this problem, we propose to build an Aspect Fusion Graph Convolutional Network (AFGCN) of sentences to take advantage of syntactic information and word dependencies. Specifically, we enhance the syntactic dependencies of each instance by introducing dependency tree and dependency-position graph. Then, we use two graph convolutional networks to fuse the dependency tree and the dependency-position graph to generate the interactive emotion features of aspects. Finally, we use a novel attention mechanism to fully integrate the significant features related to aspect semantics in the hidden state vectors of the convolution layer and the masking layer. Extensive experiments on five benchmark datasets show that our method achieves state-of-the-art performance.
Study on Paratextual Elements in News Transediting: A Case Study on the Transediting Strategies in Reference News

Reference News is a state-owned news platform that provides foreign opinions to average Chinese readers. As the only Chinese news platform eligible for publishing articles from the foreign press, it serves as a “corpus” to study news transediting strategies in the context of China. This paper selects sources related to the COVID-19 pandemic from Reference News and compares the sources with the transedited articles. The author upholds there are three main paratexts guiding the process of transediting pandemic-themed articles on Reference News : reader’s value and horizon of expectations, ideology and national emotions, and national interests. It can be concluded that, under the influence of those three paratexts, Reference News generally prefers to use four strategies to transedit relevant articles, namely the selection and combination of sources, deletion, addition, and variation. The author hopes that, given the significance and popularity of pandemic-related information and opinions, this paper can enlighten future research on transediting news articles about COVID-19.
EFL LEARNERS' ACCEPTANCE ON COMPUTER MEDIATED COMMUNICATION: SURVEY ON TEACHING READING IN HIGHER EDUCATION

Almost every aspect of life has been influenced by technology in the last decade. The impact of technology on education since the emergence of the World Wide Web has grown rapidly. Technology has created new learning methods in higher education. Online programs not only give graduates promising positions in today's work environment but also create and develop innovations in learning. Computer mediated communication systems (CMCs) are considered essential for successful online courses in college. This study aims to determine how to measure students' acceptance on the usefulness of the e-learning system based on Computer Mediated Communication (CMC) in teaching reading. There were 30 participants. Survey method used to gather the data. The result shown that CMC as a media for teaching reading in the higher education gave some benefits and motivate the students to comprehend the material well. Affiliation: Universitas Slamet Riyadi, Surakarta, Central Java Email: luqmanalhakim@unisri.ac.id and ayuistianasari@gmail.com
Theory of Beam 15° One-Way Wave Prestack Depth Migration

Summary At present, there are mainly two kinds of seismic wave prestack depth migration imaging methods: the integral method based on the high frequency approximation solution of wave equation and the finite difference numerical solution or mixed domain solution based on the differential wave equation. Gaussian beam method is an intermediate method for describing wave propagation and imaging, and the problem is that too many approximations are introduced in the process of describing the wave propagation in the ray-centred coordinate system. In addition to high frequency approximation, the amplitude of wave field is merely derived from the amplitude Gauss attenuation of points along centre ray path, which is too simple to characterise the complex wave phenomena. Therefore, we use the paraxial one-way wave equation in the ray-centred coordinate system, and the paraxial one-way wave equation is used to propagate the wave field in the ray beam, so as to accurately describe the local wave field. The objective of this paper is to systematically describe the beam prestack depth migration theory and combine it with paraxial one-way wave to achieve high precision beam prestack depth migration imaging. Numerical results show the effectiveness of our method.
Efficiency of Fast Approximation Analysis by Simulation and Machine Learning Using Active Learning

In recent years, AI has been adopted in the manufacturing industry, and machine learning-based approximator systems are expected to be used for shortening the development time of products. Although it is generally accepted that big data is essential for training data, it takes a long time to collect the data obtained from simulations, so that a high-performance approximator must be built with a minimum amount of training data.Although active learning has been studied in various fields to reduce the data collection cost, most of the research is on the classification problem, and its adaptation to the regression problem is not advanced. In this study, we construct a simulation approximator for this regression problem with a minimal amount of training data, using expressive neural networks to approximate unknown functions.
A Multifaceted Literature Review of WhatsApp: Opportunities and Challenges in Mobile-Assisted Language Learning

Since the outbreak of Covid-19, the role of technology has become even more significant in education, especially in English Language Learning/Teaching (ELL/T).Although, now a good number of tools, platforms and resources are competitively available to make E-learning easier and more effective, WhatsApp is still one of the most prevalent tools in Mobile-assisted Language Learning (MALL).The purpose of this study is to provide a multifaceted review of the latest articles on using WhatsApp in ELL/T.Thus, a review of the literature was conducted to identify the most recent articles (from 2019 to 2020), which led to the inclusion of 16 relevant studies.Results reported the key opportunities and challenges associated with the use of WhatsApp in ELL/T from four aspects categorized as Language Aspects, Technological Aspects, Psychological Aspects and 21 st Century Skills.Findings from this study will certainly help academicians, practitioners and researchers in the fields of MALL, and English Language Teaching (ELT) to gauge their trajectories toward using WhatsApp more effectively.
KONSEP DIRI PADA MASA DEWASA AWAL YANG MENGALAMI MALADAPTIVE DAYDREAMING

Maladaptive daydreaming (MD) is a condition that shows prolonged daydreaming behavior to forget the time, of course, affecting individuals both in personal and social aspects. In the early adulthood, the individual is charged with a large developmental task and responsibility, therefore the self-concept determines how a person acts in overcoming various situations. This study aims to determine self-concept in early adult individuals who experience MD, including the factors that influence self-concept in early adulthood who experience MD. The research method used is qualitative research with a case study approach. Data collection using techniques observation, interviews, and documentation, on two subjects including 1 male and 1 female. In analyzing the data, researchers perform data reduction, data display, and drawing conclusions, while to test the validity of the data using triangulation. The results of this study indicate that the subject has a negative self-concept due to a lack of attention, support and motivation from the family and is carried away in maladaptive daydreaming, then the impact of the negative self-concept of the subject is that it seems to have difficulty facing reality in fulfilling developmental tasks, such as work, or establishing relationships with other people and difficult to determine the goals of life at his age
초등 영어 수업에서의 문화 교육에 대한 예비 교사들의 인식 질적 탐구

The purpose of this study was to investigate how pre-service teachers of elementary schools perceive culture-related contents in the 2015 national curriculum of English, the necessity of teaching culture in English classes, and English-culture integrated lessons. Total 26 pre-service teachers who were seniors and enrolled in the course ‘Elementary English Education and Culture’ participated in the study. The data were collected from two sources - the participants’ papers in which they described their thoughts and reasons toward the culture-related contents in the curriculum and the necessity of teaching culture, and their lesson plans for English-culture integrated teaching. A theme-based data analysis revealed the following: 1) the pre-service teachers perceived the culture-related contents positively, but they also expressed their concerns that the curriculum doesn’t provide important information such as achievement standards for teaching culture, 2) 25 out of 26 participants agreed strongly upon the necessity of teaching culture with various reasons, and 3) the pre-service teachers’ perceptions on English-culture integrated lessons converged into three aspects - how to select cultural contents, how to integrate English and culture, and how to make elementary students understand various cultures without prejudice.
Big Data Creation Process and Measures for Utilization: Focusing on the Transportation Sector

Transportation big data is not limited to the transportation sector, but is a useful resource that will bring innovation to all aspects of our lives in the future, and various R&D for its utilization is currently in progress. However, the current level of utilization of transportation big data is very limited under the existing legal system. In this study, we will investigate the meaning and problems of the use of big data in the transportation sector, and investigate the improvement tasks to expand the use of big data. Research Design, Data and Methodology: The paper used a qualitative research methodology through the literature review. In this study, first, the definition and creation process of big data were studied. Second, the significance and problems of applying big data in the transportation sector were studied. Finally, the current status of research in the transportation sector using big data was investigated, and the tasks to be improved in the process from collecting transportation big data to analysis were reviewed. Results: Big data means creating new value by fusing data collected from different purposes. In the case of using big data, the transportation sector can establish more accurate and detailed transportation policies in basic data investigation, identification of phenomena, and prediction. In order to expand the use of big data, it is important to consider who owns it, what it was collected for, what the format of the collected data is, and what should be done to use it. Conclusion: Big data is a derivative thing, but it is becoming important enough to determine the success or failure of a country depending on how it is used. However, problems such as data errors or invasion of privacy that may occur when using big data are expected. This is not just a problem in the transportation sector. When using big data, there are many problems to be solved, such as data ownership, Big Brother problems, and the implementation of smart mobility. If the advent of the big data era is taken for granted, the task from now on is how to solve these problems and share their values.
Cloud Computing Deployment Models: A Comparative Study

Cloud computing has become the embraced in the computer world. Cloud implementation is the process of creating a virtual computing environment. Deployment in the cloud provides organizations with flexible and scalable virtual computing resources. A cloud deployment model is the type of architecture in which a cloud system is deployed. These models differ in terms of administration, ownership, access control, and security protocols. This paper describes the different types of cloud computing service models and deployment models; it also gives us a comparative study of various clouds using many factors. The comparison is simply based on various factors such as reliability, cost, data control, workload, performance, and many other cloud parameters.
A Yearn for an Exquisite Life: A Study of E. E. Cummings’ If

One of the most intrinsic parts of human life is desire. Every soul on earth desires for variety of things, may it be emotions or materialism. There is also a spiritual desire, where people long to know what would happen after death. Life is unpredictable and some situations are inevitable. E. E. Cummings also projects desires or wish of an individual to come true. The thought that the poem brings in the mind of the readers is ‘If everything happens that can’t be done’. Edward Estlin Cummings might have written this work to convey a message that life is inevitable and there is nothing such as a perfect world. It is just his desire of living in a perfect world, which actually does not exist. The most unique part of the poem If is that, it has three central themes. It consist Transcendental, Romantic and a realistic theme.
Drug Sales Application Program at Y Farma in Kuningan

In order to improve customer service and satisfaction. As well as to follow the competition of the present, then in the process of data processing must be fast and accurate. Therefore, informatics technology in the form of computers is very important in the midst of the company's activities in an effort to improve the company's performance in achieving progress. For data collection by this method, the author may gather information relevant to topics and problems that will or is being researched, by studying scientific books, the internet, scientific papers, theses and dissertations, yearbooks, rules, encyclopedias and written and electronic sources.
The Impact of Knowledge Management in Human Resources Department: A Systematic Literature Review

The organization continually endeavors to create and improve the information on representatives associated with key business measures. It expects to make organization information in accomplishing upper hand. Inside an organization, the division that assumes the main part in obliging representatives' information needs is the Human Resource Department (HRD). Prior to building up information the board framework in an organization, particularly the Human Resources Department, it is important to direct a more inside and out investigation in regards to the effect that the organization has in the wake of executing the information the executive's framework, so partners can comprehend the effect that information the board has on an organization, particularly the HR Department. Subsequently, to control the HR Department to execute Knowledge Management, this precise writing survey (SLR) will try to address this inquiry: what is the positive and negative impact that Knowledge Management brings to an organization, particularly Human Resource Department?. We led a Systematic Literature Review of 3006 remarkable papers distributed until 2020, and we included 25 essential investigations. The outcome shows Knowledge sharing carries the most effect on association execution, in spite of the fact that there are still moves identified with how people connect and utilize information.