Reviewerly/exHarmony huggingface dataset:
Influence of social inclusion on happiness of international students in South Korea : Mediation of resilience and moderation of social justice

Background/Objectives: The continual increase off international students globally calls for the necessity for their well-being to be investigated.The existence of cultural differences if not well managed might lead to international students to be victims of social exclusion.Therefore, it is of absolute necessity that educators, researchers, school administrators, and all stakeholders of public administration seek for ways to improve on the wellbeing of international students.The current study aimed at investigating how social inclusion, resilience, and social justice can be used to improve levels of happiness for international students in South Korea.Methods/Statistical analysis: By use of a status cross-sectional quantitative research design, data for 274 international students in South Korea were collected by use of self-reporting questionnaires using online and paper survey was analyzed using SPSS PROCESS macro.Findings: Findings showed that social inclusion, happiness, resilience, and social justice constructs were significantly positively correlated to each other.Further results revealed that resilience partially mediated in the relationship between social inclusion and happiness, and that social justice moderated this mediating effect.Improvements/Applications: These findings contribute to the literature on ways to improve international students' well-being, and suggest the use of social inclusion, resilience and social justice as critically vital constructs that help to improve international students' happiness.
ANALYSIS ON MORAL VALUES ON LASKAR PELANGI NOVEL BY ANDREA HIRATA AND ITS UTILIZATION LITERATURE TEACHING MATERIALS IN SENIOR HIGH SCHOOL

Various kinds of problems are often experienced by each individual or society which will have an impact on the human person itself even to the surrounding community, one of these problems is a moral problem. The purpose of this study is to describe and explain: (1) the form of moral values in the novel Laskar Pelangi by Andrea Hirata; (2) the views of the author and readers of the novel Laskar Pelangi by Andrea Hirata; (3) utilization as a literature teaching material in high school. This research is a qualitative descriptive research with content analysis method. The data source in this study is the text or content in the novel Laskar Pelangi by Andrea Hirata. Data collection techniques are reading, taking notes and interviews. The validity of the data in this study is source triangulation and method triangulation. The results of this study can be concluded as follows: (1) the form of moral values in the novel Laskar Pelangi by Andrea Hirata, namely (a) the relationship between humans and oneself which includes: honesty, patience, responsibility, sincerity, firmness, courage, and low self-esteem. heart; (b) human relationships with other humans which include: caring for others, helping each other, sharing, caring, encouraging and motivating, working together, being grateful; (c) human relationship with God which includes: gratitude to God, obedient worship, belief in God; (b) human relationships with other humans which include: caring for others, helping each other, sharing, caring, encouraging and motivating, working together, being grateful; (c) human relationship with God which includes: gratitude to God, obedient worship, belief in God; (b) human relationships with other humans which include: caring for others, helping each other, sharing, caring, encouraging and motivating, working together, being grateful; (c) human relationship with God which includes: gratitude to God, obedient worship, belief in God;
Equality Test of Ciphertexts in Certificateless Public Key Systems with an Outsourced Revocation Authority

Due to the privacy and confidentiality, users usually encrypt the data before uploading data to the cloud. In the past, there has been research on the cloud server running the equality test of ciphertexts in certificateless public key systems. Based on the results of the equality test of ciphertexts, the cloud server can carry out the application of ciphertext classification without knowing the plaintext, such as the classification of encrypted emails. However, a mechanism for revoking users should exist in any system. In this article, we add an outsourced revocation authority to the equality test of ciphertexts in certificateless public key systems. A concrete scheme is proposed under the elliptic curve. Compared with the existing scheme, our scheme not only retains the features of the existing scheme, but also employs an ORA to perform the task of revoking users.
Detecting Door Operations Using Wearable Devices

Recording indoor human activities such as room occupancy is important to control the COVID-19 pandemic. Logs of human activities can be recorded using wearable devices, provided that the action of entering or exiting a room can be recognized based on the operation of doors. However, relatively few studies on human activity recognition have considered the detection of door operations using wearable devices. In this study, we propose a new deep learning-based technique to detect door operations. We developed a smartwatch application to collect and label multiple forms of data. To evaluate the proposed approach, we conducted an experiment in which we collected data during 4 door operations (2 types of doors with 2 activities, including entering and exiting) using the application. The collected data were then used to train deep learning models. The experimental results show that the average F1 scores ranged from 0.787 to 0.909 when acceleration and angular velocity data were used, which suggests that the proposed technique can detect door operations sufficiently well.
PREDICTION OF THE ENGLISH PREMIER LEAGUE CHAMPION TEAM FOR THE 2021/2022 SEASON USING THE NAÏVE BAYES METHOD

The English Premier League is the top division league in England, the most popular football league for football fans. The competition date for the 2021/2022 season was announced on March 25, 2021 and the schedule was released on June 16, 2021. Manchester City won last season (2020/2021). The purpose of this study is to find out the results of Naive Bayes' accuracy in determining which team deserves to win in the English Premier League 2021/2022 season and which team does not deserve to win in the final standings. The method used for prediction is Naïve Bayes, which is to predict an opportunity in the future based on events in the past which is then called the Bayes theorem. Combined with Naïve's theorem, it can be said that a condition between attributes can be independent. Naïve Bayes is an arrangement of a system that calculates a collection of opportunities that are summed at a frequency and a combination of values ​​from the existing data set. Based on the research conducted, it was generated from predictions to determine the winning team quickly and accurately and from the test results it was necessary to process training data and test data with the Naïve Bayes method, it was obtained an accuracy of 32.7% for the chances of Manchester City winning and Liverpool with 42.06% accuracy to be able to win the English Premier League season 2021/2022.
Persepsi Mahasiswa Terhadap Pembelajaran English Grammar Pada Mata Kuliah Bahasa Inggris

This study focuses on knowing students' perceptions of learning English grammar in English courses; this study also discusses students' perceptions of the level of understanding and ease of learning English grammar in English courses. This study uses a qualitative descriptive method to describe in detail the characteristics and phenomena to be analyzed. The technique used to collect data is through questionnaires. Questionnaires were used to obtain data on students' opinions on students' mastery of grammar and to find out students' difficulties in learning grammar. Questionnaires are distributed in online form via google form. In this study, the researcher took samples from 8 students of STIT Raden Wijaya in the grade of second semester who took English courseand given questions related to grammar and the problem being studied. Based on the research of the questions above, it can be seen that the majority of students answered agree that English is a science related to English that grammar is considered the most important because it serves as the basis for more advanced language learning. In addition, students who previously did not understand grammar felt that they began to understand and like grammar learning on campus because of the treatment given during the learning process, so learning grammar was very enjoyable. The students considered that grammar was important and some thought that grammar was beneficial for understanding English, but there were those who answered that it was beneficial for learning grammar, but grammar is a success factor for students in learning English
Teaching speaking in the times of zoom: Striving to maintain a good level of oral interaction between students in the Spanish as a foreign language classroom

Due to the global COVID-19 pandemic, educational institutions all over the world were forced to make the executive decision of quickly and effectively transferring face-to-face classes into an online format. Issues such as technical difficulties, varying degrees of digital literacy within a given team of teachers or the question of how to preserve the essence of face-to-face classes in an online environment are among the many challenges that have affected and hindered the practice of instructors all over the world. With a focus on the teaching of Spanish as a Foreign Language (Español como Lengua Extranjera, ELE) and video-conferencing platforms such as the software known as Zoom, in this paper we discuss the importance of continuing the practice of teaching speaking in an online environment. Subsequently, we present a number of strategies that we have put into practice in our online ELE classrooms in order to try and maintain the same or very similar level of interaction between our students when compared to face-to-face classrooms.
Recurrent Neural Network Based Kalman Filtering: A Suboptimal Approach

In this paper, a system noise distribution needless suboptimal Kalman Filtering (SKF) is proposed, which is the essence of the Recurrent Neural Network (RNN) based Kalman Filtering. By the mathematical analysis, the RNN-based Kalman Filtering is proved to be unable to achieve optimal state estimation. That is to say, the RNN-based Kalman Filtering is theoretically a suboptimal approach, and can be equivalently replaced by the proposed SKF. Since the SKF does not depend on the noise distributions, it is suitable to be used for the state estimation scenarios where the noise distribution is unknown. To illustrate the effectiveness of the suggested algorithm, simulation examples are provided..
The concept of digital competence in education documents of Norway: definitions and essence

The article presents the theoretical and methodological aspects of educational policy of Ukraine and analyzes the activity and competence approaches to the formation of digital competencies of Ukrainian students. Based on the analysis of modern literature sources, the author of the article presents the Ukrainian research on the Norwegian education system, in particular the formation of digital competencies in educational institutions, and considers the problem of developing the skills of using the latest information technologies in the educational space of Norway. The author of the article analyses modern legislative normative acts, which form the educational policy of Norway, describes the competencies of government institutions in determining the principles of educational policy, and investigates the main statistical data on the development of the preschool education system. The life skills that are developed in Norwegian educational institutions are identified as speaking skills, reading skills, numeracy, writing skills, and digital skills. These skills are cross-cutting for all education curricula. The educational standards and educational normative documents of Norway determine the introduction of the latest information technologies in the educational process of preschool institutions. The descriptors presented in the documents of the educational policy of Norway guide the development of relevant skills, describe a certain type of behavior that certifies the acquisition of skills and achievement of a certain level of knowledge. The essence of the descriptors of the first level of skills development in the use of the latest information technologies is clarified and the requirements for the formation of preschool children’s competencies in the process of using the latest technologies by the teachers in their professional activity are highlighted. It is agued that the knowledge and competencies of teachers are the decisive factors in the successful implementation of the policy on the formation of digital skills of preschool children. The main digital practices that teachers implement in the daily work of preschool education in Norway are described. Keywords: digital competence, information, and communication technologies, media literacy, descriptor, preschool education institution.
Spatial Mapping Based on the Settlement Carrying Capacity Value in Gunungpati District, Semarang City

Abstract: The City Regional Spatial Plan (RTRW) for Semarang City stipulates that Gunungpati District has a role in developing residential cultivation areas with the determination of several protected area types as well as functioning as a strategic environmental carrying capacity area for the city. Based on Semarang City BPBD, 29 landslides occurred between 2016-2021, which damaged houses, facilities, and residential infrastructure. This study aims to produce spatial mapping for residential area designations through the calculation of its carrying capacity so as to obtain the carrying capacity value or classification of the ability of each village area to accommodate the number of residents. This can then be used as one of the basic considerations in determining the development of residential areas in Gunungpati District. This study uses the quantitative method to determine the residential land's carrying capacity through spatial mapping data processing based on geographic information systems (GIS) using scoring, weighting, and overlay techniques. The spatial mapping produces a landslide vulnerability map with vulnerability classifications covering very low (1.468,17 Ha) to very vulnerable (466.53 Ha) classes as well as cultivation function, buffer, and protected areas distribution in Gunungpati District. The final results show that each region can accommodate the population increase of each village in Gunungpati District, with Jatirejo Village scoring the highest in DDPm value (26.9) and Sukorejo Village scoring the lowest (5.7). Keywords: Landslides, carrying capacity, settlement
CIRC Learning Model for Reading Comprehension of French Language

Reading comprehension is a third language skill that must be mastered after speaking. What is expected of this skill is that learners can apply their understanding of the language to obtain information from reading. However, the reality found in the class shows that many learners complain about the difficulty of understanding sentences in a text, especially in the French language. This study aims to determine whether the CIRC model improves students' French reading comprehension before and after learning using the CIRC model. The use of the CIRC model for Reading Comprehension aims to improve the quality of students’ comprehension in obtaining French textual information. Its application to French reading comprehension is based on previous similar studies which state that this model is appropriate to be applied to improve reading comprehension skills. The research method of this study is a qualitative study with a classroom action research design. There were two cycles in this study, Cycle 1 was a research procedure before the CIRC model was applied and Cycle 2 was after the model was applied. Direct observations were made in the classroom during the RC learning process. Four learning steps that maximize individual abilities in group learning such as (1) the Planning phase, (2) the Implementation phase, (3) the Observation phase, and (4) the Reflection phase, produce a 5% increase in the value of the learning process. It is a certainty to apply this model for French reading comprehension to help learners understand a text well.
Learning Motivation Factors in Terms of the Role of Parents of Mentally Retarded Students at SLBS Sunan Muria

This study aims to determine the factors that affect learning motivation during the Covid-19 pandemic in terms of the participation of parents of mentally retarded students at SLBS Sunan Muria Kudus. This study used a qualitative approach with the type of case study research at SLBS Sunan Muria. The research subjects were 5 mentally retarded students, 5 parents and 1 class teacher. This case study research uses data collection techniques in the form of observation, interviews, and documentation. Data analysis used the interactive model analysis techniques of Miles and Huberman (data reduction, data presentation, and conclusion drawing). The validity test uses the triangulation technique. Motivation to learn is the overall driving force both from within and from outside the student. Learning motivation factors are divided into two, namely internal factors and external factors. The results of this study indicate that the factors that influence children's learning are more on the encouragement factor of learning enthusiasm given by parents to children
Isolation of pathogenic strains of methicillin-resistant Staphylococcus aureus from mobile phones in a tertiary institution in Ibadan, Nigeria

The health implications of mobile phones emission have been a matter of concern to health practitioners for decades but little or no attention has been given to the mobile phones as potential fomites for pathogens. This study isolated and characterised methicillin-resistant Staphylococcus aureus (MRSA) on mobile phones of students in a tertiary institution in Ibadan, Nigeria. One hundred swab samples were obtained from the surfaces of mobile phones of students in a cross-sectional study conducted between July and August, 2019. Presumptive staphylococci were isolated on mannitol salt agar and identities were confirmed by standard biochemical test and Gram-staining. Antimicrobial susceptibility test was done by disc-diffusion method and mecA or mecALGA251, tsst-1, eta and etb genes screened by PCR technique. Among the 200 presumptive S. aureus isolated, 163 (81.5%) were confirmed as S. aureus exhibiting resistance to ofloxacin (1.8%), gentamicin (3.7%), ceftriaxone (29.4%), ceftazidime (57.7%), cefoxitin (61.3%), cefuroxime (64.4%), erythromycin (85.3%), amoxicillin-clavulanic acid (86.5%) and cloxacillin (92%). Proportion of MRSA and methicillin-susceptible S. aureus (MSSA) were 61.3% and 38.7% respectively with significant difference in their level of antibiotic resistance to the cephalosporins (excluding ceftriaxone), penicillins, erythromycin and ofloxacin (p&lt;0.05). All the MRSA strains were multidrug resistant (MDR) harbouring mecA or mecALGA251 (56.3%), tsst-1 (56.3%), etb (31.3%) and eta (12.5%) genes. This study detected a high proportion of methicillin-resistant, virulent S. aureus as fomites on surfaces of mobile phones among students of a tertiary institution. This is of public health concern and thus requires strong public education to avoid imminent spread and outbreaks.
Desain Pelatihan Pegawai Perpustakaan Model ADDIE Dalam Meningkatkan Kinerja Pegawai Perpustakaan

This study aims to describe the training design of the ADDIE model in improving the performance of library employees. Therefore, it is necessary to provide training to librarians as an effort to equip librarians to be proficient and understand the main tasks and functions that will be carried out, especially in carrying out excellent service in the library. This research uses a library research approach. The data sources in this research consist of primary data sources obtained from journals, and secondary data sources obtained from books related to the Addie model librarian training design in improving the performance of library employees. The data collection techniques used in this study are in the form of documentation. The results of the study stated that the learning design of the ADDIE model can improve the performance of library employees by using several steps, including Analysis, Design, Development, Implementation, Evaluation. The performance of library employees is said to increase when they have loyalty to work, high discipline, and have high creativity in carrying out excellent service in the library. Able to cooperate and actively participate in the university library where they serve.
Generative Video Compression with a Transformer-Based Discriminator

Deep learning has been successfully applied to image and video compression. Specifically, generative adversarial network (GAN) can compress images at low bit rates with sharp details and high perceptual quality. In this work, we propose a novel generative video compression (GVC) model with a transformer-based discriminator (TD), which learns non-local correlations within video frames to improve adversarial training. Besides, our GVC model incorporates a new loss to train the generator, which combines a base loss, a discriminator-dependent feature loss, and a perceptual loss. Experiments on HEVC test sequences demonstrate that the proposed GVC model provides superior performance at extremely low bit rates, compared to existing learned and traditional video coding schemes.
Inpainting larger missing regions via progressive guidance decoding network

Abstract For images corrupted for various reasons, the size of the corrupted area is often arbitrary and it has been a challenge to inpainting the larger missing areas. Though popular multistage networks ease the inpainting difficulty by repairing damaged image from coarse to fine, their common drawback is that the result of each stage is easily misguided by the wrong content generated in the previous stage. To address this problem, we propose a novel progressive guidance decoding network. First, multiple parallel decoding branches fill and refine the missing regions by top–down passing the reconstructed priors. This inpainting way of progressive guidance avoids adverse effects of inappropriate premises, since the decoding branches can learn what priors can be utilized. And convolution layers of decoder with different locations would pass down the different priors. The joint guidance of features and gradient priors helps the inpainting result contains the correct structure and rich details. The second fold of progressive guidance is achieved by our fusing strategy, combining ghost convolution and the designed cascaded efficient channel attention (CECA) to fuse and reweight the features from different branches. CECA explores the dependencies among adjant and non-adjant channels more effectively than popular ones. Finally, we merges the different-scale feature maps reconstructed by the last decoding branch and mapping them to the image space, which further improves the semantic plausibility of the restoration results. Extensive experiments verify the effectiveness of our method in both subjective and objective evaluation.