Reviewerly/exHarmony huggingface dataset:
Article on Impact of Good Governance on School Performance of Nepal

This article deals with the impact of good governance on school performance in Nepal. Good governance and its impacts on school performance is a burning as well as searching issue in the field of the educational sector of Nepal. The purpose is to explore and to discuss the findings of the impact of good governance on school performance through critical analysis of the literature review. This article is based entirely on the secondary sources. The finding of the study is that the good governance practices play the significant role in school performance in Nepal. Further, other major findings of this review include low school performance, less participation of stakeholders, lack of transparency and accountability, and corruption in the education sector. The reason for the low performance of schools in Nepal is the lack of good governance. If we adopt good governance practice in education, we can easily ensure/achieve a better school; better performance is the implications of this literature review.
PEMANFAATAN G SUITE FOR EDUCATION UNTUK MENINGKATKAN EFEKTIVITAS BELAJAR MENGAJAR SMA MUHAMMADIYAH JAKARTA UTARA

Google provides some of its integrated application services under the name G Suite. G Suite is an integrated system that can be used for Gmail email-based institutional management which can also be accessed through a mobile application. This application also has an online learning management system facility called Google Classroom. Responding to the importance of this need, STIEMJ plans to provide assistance in migrating school email to G Suite for Education services, training in using email and G Suite for Education. To be able to use G Suite one of which requires institutional email settings that must be registered in advance for free with Google. After the school has a Google-based institutional email, the school will be able to take advantage of all the features of the applications owned by G Suite such as Google Docs, Google Sheets, Google Forms, Google Drive, Google Calendar and so on, including Google Classroom for online learning that it has. The problems to be solved with this community service are the need to increase teacher capacity in learning, the need for the introduction of G Suite for Education, setup of Google-based institutional email, and training on the use of Google Classroom for teachers. In this case, our PKM team intends to hold community service activities for teachers and students in utilizing the Google Form For Education application as a learning media and data processing for teachers and students at SMA Muhammadiyah North Jakarta.
Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops

&lt;p&gt;We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions at a constant level even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. &lt;/p&gt;
Flexible QoE optimized Video Adaptive Streaming over HTTP for sudden bandwidth drops

&lt;p&gt;We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions at a constant level even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. &lt;/p&gt;
Use of Cohesion of Susilo Bambang Yudhoyono’s Speech in APEC Economic Leader Conference in Bali

Cohesion in discourse is important to know the coherence of discourse. In this study, intends to analyze the types of cohesive devices and the function of cohesive devices used in Susilo Bambang Yudhoyono’s speech. The research design in this study is descriptive qualitative. The object of the research are transcription of Susilo Bambang Yudhoyono’s speech. Researcher investigator is the primary instruments for gathering and analyzing data. There are four main steps to analyzing the data; identifying the sentences, classifying the cohesion of the speech into Halliday and Hassan’s theory, explaining the data and concluding the data. There are three types of cohesion used in the speech. The result of this research is he mostly used in the speech is reference. The majority used is personal reference. It shows that the speaker wants to make cooperate with the listener or audiences of the conference. Furthermore The mostly used in the speech is subject.
Google Suite For Education Application Analysis In Distance Learning At MI Miftahul Akhlaqiyah

The importance of implementing Google Suite for Education in schools is to achieve educational effectiveness through the provision of more innovative and communicative educational services. This research uses qualitative approach with a case study method in nature descriptive. Data collection tehniques by way of interviews, observation and documentation. Data analysis by means of reduction, data presentation and conclusions. The results of the study show that disrance learning using the Google Suite for Education is considered effective, (1) its application uses the Google Classroom service to manage online learning activities, Google forms to hold quizzes abd exam questions, and Google Meet for video conferencing. (2) The impact: eliminating teachers' lack of understanding of technology, making it easier for teachers to complete administrative activities, storing more structured data, sharing data and information, making it easier for student parents to monitor student progress, making it easier for students to study at home.
Pedagogical Model of Developing Communicative Culture in Future Managers during Foreign Language Acquisition

The Bachelor of Management studies are based on the idea of lifelong education. The curriculum includes academic models, technologies, and methods that develop culture and communication skills. This research featured the process of developing the communicative culture in future bachelors of management during foreign language acquisition using the method of interdisciplinary integration. The research methods included various diagnostic tools, e.g., questionnaires, tests, conversation, survey, interview, etc. The article also contains a review of Russian psychological and pedagogical scientific publications. The authors used interdisciplinary links between Foreign Language and various professional disciplines to design a new pedagogical model. This model included a system of complementary functional blocks. It defined a set of organizational and pedagogical conditions, principles, methods, and training tools that made it possible to model real situations and various aspects of managerial activity. The authors developed an optional interdisciplinary complex called Bridge to Communication. The complex proved effective in developing speaking skills as a tool of business communication and communicative culture.
A Practical Approach to Software Metrics in Beehive Requirement Engineering Process Model

Requirements specification says what the framework ought to do, how it must act under the given requirements, the qualities it must show and have. Necessity building stage manages specialized information, hierarchical, administrative, monetary and social issues. It assumes an imperative part in keeping up nature of the product. Software quality can be overseen and kept up by verifying quality characteristics in the requirements report. RE process has certain stages: they are requirement elicitation, requirement analysis and management, requirement specification and requirement verification and validation, with some interleaving between them. Requirement engineering includes various measurements to effectively oversee, execute and finish the product ventures. Prerequisite measurements are greatly valuable in distinguishing the dangers of a venture by finding blunders or peculiarities in the necessity report. The proposed beehive model (RE process model) (Swarnalatha et al. in Int J Comput Eng Technol (IJCET) 5(7):48–54, 2014 [1]) finds a center ground between the ordinary models of necessity assembling and investigation, viz. waterfall, spiral and agile techniques. In this paper, we investigate how measurements help in examining the bee hive RE process model with the existing software RE process models. The focal point of this exploration is to feature the significance of different execution measurements which could be taken after for examining beehive requirement engineering.
PEMANFAATAN MEDIA PEMBELAJARAN E-LEARNING

The Indonesian government has begun to issue policies for implementing the new normal in various sectors, including the education sector. This of course makes the public must be able to condition the situation with the new rules made by the government. The rapid development of the world of education cannot be separated from the use of increasingly sophisticated technology. Global demands always demand the world of education to be in line with the development of information and communication technology for the world of education, especially in the learning process. For this reason, this study aims to (1) provide alternative learning media for lecturers and students using e-learning, (2) find out the benefits of educational technology with e-learning as a learning medium in the new normal era. Keyword : e-learning media, google classroom
PENDAMPINGAN BELAJAR SISWA DI DESA LEUWIDAMAR LEBAK BANTEN

Leuwidamar Village is one of the villages located in Leuwidamar District, Lebak Regency, Banten Province, which is located north of the sub-district center. The education aspect in Leuwidamar Village is one of the villages in Lebak Regency with a relatively low level of education. The results of the learning activities carried out had an impact on increasing the ability to read and simple arithmetic of the 30 students
Flappy Bird Game

We are all accustomed to playing this game. The player's primary goal in this game is to protect the bird from obstacles while racking up as many points as possible. Here, we'll use Python to create our own Flappy Bird game. To make this Flappy Bird game, we used the Python module Pygame. An open-source package called Pygame is made specifically for creating video games. It aids in the development of multimedia and fully functional games in Python. Keywords:- Python, pygame, controls, collision, score
Every Fq -linear code is equivalent to a non-trivial multi-twisted code 

Abstract Aydina and Halilovi\'{c} [Finite fields Appl. 45 (2017) 96-106] introduced multi-twisted codes and studied some of their basic properties. Let S be a finite commutative F q -algebra. An F q -linear code over S of length n is an F q -submodule of S n . Recently, Mahmoudi et al. [Finite fields Appl. 64 (2020) 101665] studied F q -linear codes over F q -algebras. In this paper, we show that every F q -linear code is equivalent to a multi-twisted (MT) code. This gives us a new point of view to study linear codes. In particular, we can investigate the structure of multi-twisted codes instead of F q -linear codes. 2000 Mathematics subject classification: 94B15, 16S36.
Aspectual pairs: Prefix vs. suffix way of formation

In linguistic theory, there is no common point of view on the question of whether verbs in aspectual pairs are in inflectional or derivational relations. At the same time, the prefix and suffix methods of forming aspectual pairs are contrasted in this respect. The publications (e.g. Janda Lyashevskaya 2011) pointed out the need to develop new quantitative approaches to this aspect of the text corpus. We propose two new approaches that compare the quantitative characteristics of aspectual pairs of both types. One approach is based on the Google Books Ngram corpus and analyzes the dynamics of the frequency of the use of words in pairs. The aspectual pairs from the databases created by Janda and Lyashevskaya are considered. For a numerical assessment of the degree of proximity of the frequency graphs, the Pearson correlation coefficients were used. The second approach introduces a numerical characteristic of the semantic proximity of verbs in pairs using modern computer methods. Semantic proximity of verbs is calculated as a standard cosine measure between vectors representing the compatibility of the considered verbs in the corpus. Several computer models and text corpora are considered. Both proposed approaches did not reveal significant numerical differences in semantic proximity between verbs in aspectual pairs with prefix and suffix pairing. This is in good agreement with the results of an early study by Janda and Lyashevskaya (2011). Together with the results of this work, our research shows that the suffixal and affixal ways of forming aspectual pairs have an equal status in terms of their classification as inflectional or derivational.
Research on saliency detection method based on depth and width neural network

Image saliency detection is to segment the most important areas in the image. Solving the problem of image saliency detection usually involves knowledge in computer vision, neuroscience, cognitive psychology and other fields. In recent years, as deep learning has made great achievements in the field of computer vision, the application of deep learning has also played a good role in image saliency detection. Therefore, algorithms based on deep convolutional neural networks have become solutions to image saliency The most effective method of detection. For researchers, improving the computational efficiency of neural network-based saliency detection algorithms generally starts from two perspectives. One is to tailor the network structure and combine traditional feature extraction methods for processing. The other is to use a lighter network to solve the saliency detection problem. Based on these two points of thinking, this paper proposes two efficient and accurate neural network-based saliency detection algorithms. In recent years, with the rapid development of multimedia and Internet technologies, a huge amount of picture information is generated on blogs, social networking or shopping platforms every day. Such a lot of information not only enriches people's lives, but also provides efficient and accurate network management platforms. The management of these image information brings difficulties. Therefore, how to understand and process these image information more intelligently and efficiently has become a hot topic for many image processing and computer vision researchers. Among them, the saliency detection technology plays a key role in solving the problem of intelligent understanding and processing of images. To put it simply, saliency detection is a technology to automatically calculate or detect the most important areas in an image, and its processing results provide a basis for understanding and processing the image content. Saliency detection is a basic problem in computer vision, neuroscience and visual perception. The algorithm detects and extracts the most interesting or significant areas in the image.
Research on Obstacle Avoidance and Environment Adaptability of Snake Robot Based on Deep Learning

With the development and popularization of computer artificial intelligence technology, more and more intelligent machines are gradually produced. These intelligent machines have brought great convenience to people's lives.This paper studies the control method of snake robots based on environment adaptability, which mainly explains the construction and stability of multi-modal CPG model. In addition, this paper also studies the trajectory tracking and dynamic obstacle avoidance of mobile robot based on deep learning.
Hubungan Antara Mindful Parenting dengan Literasi Baca-Tulis Remaja di Kampung Cisanggarung Kecamatan Cimenyan Kabupaten Bandung Jawa Barat

Literacy is an inseparable part of human civilization that can help measure societal strata and how the society in a nation interpretes time development as well as how far they can survive in it. In this study, we specifically wanted to look at the relationship between Kabat-Zin mindful parenting (a conscious parenting style) and the reading and writing literacy of teenagers in Kampung Cisanggarung, Cimenyan District, Bandung Regency, West Java. This study used a quantitative research method with a correlational design. From a total population of 488, 24 adolescents aged 10-19 years old were purposively chosen from 24 families who have teenage children. The reading and writing literacy of Kampung Cisanggarung youths was measured by using the Ministry of Education and Culture literacy scale . Meanwhile, the mindful parenting pattern was investigated by using a scale derived from Duncan and Zinn’s 5 dimensions of mindful parenting. Pearson Product Moment formula was implemented to determine the magnitude of the correlation coefficient between the two variables: whether or not the relationship is significant. The correlation coefficient found was r = 0.450 with a significance probability value of 0.027 indicating that there is a significant positive correlation between mindful parenting and literacy (r = 0.450; p &lt;0.5). Several factors were assumed to be the influential reasons for such a medium correlation level category. Parent’s low level of education may prevent adequate knowledge in parenting. Another possible cause found was lack of example given by parents to their children in the literacy aspect.
A Study on the Wastewater Treatment Self-Diagnosis Web Application to Establish an Intelligent Wastewater Treatment Plant

As sewage treatment facilities are classified as energy-consuming facilities and the need for energy-saving measures has emerged, the Ministry of Environment has established the Basic Plan for Energy Self-Reliance of Public Sewage Treatment Facilities to achieve 50% energy independence by 2030. Therefore, this study conducted an ICT-based self-diagnosis web application study for sewage treatment facilities that provided a simulator utilization plan to site operators of sewage treatment facilities and suggested measures for the results of self-diagnosis through the development of a removal rate-based sewage treatment self-diagnosis application. Using the Massflow3 simulator, the measures and validation of abnormal conditions for BOD, SS, TN, and TP were conducted, and a web-based self-diagnosis algorithm was implemented to enable the operator to easily control the process based on the simulation results.
DESIGN OF AN ANDROID-BASED LUNG DISEASE SCREENING EXPERT SYSTEM AND PATIENT EARLY WARNING USING THE FORWARD CHAINING METHOD AT WALUYO JATI, KRAKSAAN HOSPITAL

This aims of study were design and create an android-based lung disease screening expert system and patient early warning using the forward chaining method at Waluyo Jati Kraksaan Hospital. This study used a mixed methods approach, namely descriptive qualitative and quantitative descriptive. In this descriptive qualitative research design used case study and the quantitative descriptive research design uses a survey. This research used the forward chaining method and model development using the Waterfall model. Based on the accuracy test table, it can be concluded that the Android-based lung disease diagnosis expert system uses the Forward chaining method. The ISO/IEC 9126 standard test uses two aspects, namely the usability aspect of 83.45% and the Functionality aspect of 85.1%. The certainly factor for the confidence value can be identified quite well. This is evidenced by the results of testing the system accuracy of 96.43%. An Android-based lung diagnostic expert system was built to provide identification conclusions in accordance with the thoughts of an expert, namely a lung specialist.
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics

Keystroke dynamics can be used to analyze the way that users type by measuring various aspects of keyboard input. Previous work has demonstrated the feasibility of user authentication and identification utilizing keystroke dynamics. In this research, we consider a wide variety of machine learning and deep learning techniques based on fixed-text keystroke-derived features, we optimize the resulting models, and we compare our results to those obtained in related research. We find that models based on extreme gradient boosting (XGBoost) and multi-layer perceptrons (MLP)perform well in our experiments. Our best models outperform previous comparable research.
The Gene of the Digital Economy

At present, blockchain technology has great application value and broad application prospect in various economic fields. This paper analyzes the impact of blockchain technology on economic efficiency by reviewing the basic concepts, working principles and main features of blockchain technology and applying the theory of new institutional economics, and finds that the application of blockchain technology can effectively reduce transaction costs, promote self-execution of transaction contracts and solve the problem of information asymmetry, which can greatly improve the efficiency of the economy. Finally, policy suggestions are proposed to deepen the exploration and research of blockchain technology, strengthen the integration and development of blockchain and emerging technologies, and accelerate the application of blockchain technology on the ground in various fields.
Catch-up economics and authoritarian politics: A case study from South Korea

Economic development is of great significance to all countries in the era of globalization. In the history of economic development of various countries, while some countries are still looking for the road of economic development, South Korea has made clear its goals and implemented quickly to make economic development. The economic theory of this is still of great reference to some countries today. In order to study the reasons for the rapid development of South Korea, based on the characteristics of South Korea's Catch-Up economy, combined with the Five-Year Plan and Authoritative Policies, summary and research. This article will use the method of case analysis and comparison, through case description, analysis, deficiencies, suggestions and conclusions to study and analyze the economic development of South Korea. The Korean model can be used for reference, but it needs to be implemented according to national conditions. Not every country is suitable for the Korean model.