Reviewerly/exHarmony huggingface dataset:
A Study of the Strength of Private Universities in Rwanda Towards their Sustainable Growth Evidence from Selected Private Universities in Kigali City

The study intends to assess the Strength of Selected Private Universities in Rwanda towards their Sustainable Growth Using evidence from Selected Private Universities in Kigali City. The choice of this topic was inspired by the constant affirmation by various government officials in Rwanda through their speeches that generally, higher learning institutions do not perform well due to the inability of lecturers’ participation in research and other professional growth activities since they are too busy looking for money through part-timing in various universities. This in turn has negatively affected the graduates from these institutions since they are not able to effectively perform their assigned duties in the job market. In year 2018 some universities and university programs were disaccredited by Rwanda Ministry of Education and requested to stop their operations in Rwanda. In a year 2020, the University of Kibungo (UNIK) formerly known as the Institute of agriculture, technology and education of Kibungo (INATEK), has been permanently shut down over administrative challenges that have compromised the quality of education offered at the school. On July 5, 2020 Ministry of Education closed permanently two more institutions of higher learning over quality issues. The latest colleges to be shut are Indangaburezi College of Education (ICE) and the Christian University of Rwanda. Thus, the researchers want to assess the effect The Strength of Selected private Universities in Rwanda Towards their Sustainable Growth. Case study is Adventist University of Central Africa (AUCA) and University of Lay Adventist of Kigali (UNILAK). It is assumed that there is no significant effect between each indicator of Strength in Selected Rwandan Private Universities on their Sustainable Growth. The Strength was assessed through the perception of Lecturers in terms of: Management, Marketing, Finance and Services/Operations process. By using convenient sampling technics, researcher randomly selected 17 lecturers from Adventist University of Central Africa (AUCA) and 15 lecturers from University of Lay Adventist of Kigali (UNILAK) and a total of 32 regular lecturers from AUCA and UNILAK answered the questionnaire. The researchers used survey questionnaire. For data analysis, Mean, standard deviation and multiple regressions was also computed; analyzed and interpreted. The researcher gave different recommendations that will strengthen not only the individual outcomes of academic staff but also individual outcomes in private universities.
A Modified Split-Radix Architecture-Based Key Scheduling Technique for Lightweight Block Ciphers

This research proposed MSBK, a novel key generation approach that introduces the split-radix butterfly architecture of fast Fourier transformation (FFT) in the field of cryptography.The MSBK cipher modified the butterfly architecture to fit accurately into cryptography.However, butterfly architecture has a higher avalanche effect which creates generated keys enough strong to protect information from different online and offline attacks.It also meets the standard of the Shannon properties: Confusion and diffusion.The proposed MSBK cipher consumes less power than earlier works.The MSBK technique's memory consumption and execution cycle were assessed using the FELICS (Fair Evaluation of Lightweight Cryptographic Systems) program, which operates on the Linux operating system.The suggested MSBK technique has also been simulated in MATLAB 2021a to evaluate the key sensitivity of multiple original and encrypted images using the histogram, correlation graph, and entropy.The negative correlation coefficient of images encrypted by the proposed cipher indicates that the differential and statistical attacks are quite impossible for an intruder.Furthermore, the number of change in pixel rate (NPCR) and the unified average change of intensity (UACI) parameters show that the suggested MSBK approach is robust to different statistical attacks.
The impact of economic and political instability in economic growth In Yemen during the period 1990-2017

Political and economic stability is one of the most important pillars of growth and prosperity and a basic requirement for all countries, regardless of their political system, as instability creates an inappropriate environment for economic and social development, foremost of which is the weakness and deterioration of economic growth rates.The research aims to study the impact of economic and political instability on economic growth in Yemen during the period .However, the research problem is focused on determining the extent to which economic and political instability contributes to economic growth, and then the hypothesis is that this instability leads to a deterioration of economic growth.The research reached several results, the most important of which is the negative growth of the local product during the period under study, the high rates of inflation, deficits of the general budget, balance of payments and political instability, and that the origin of instability is due to many internal and external political and economic reasons.In general, the standard estimates indicated that the variable of the public budget deficit was more influential in economic growth, while political stability came second, then the balance of payments deficit was the weaker effect of inflation.The research recommended the use of monetary and financial policy interventions to achieve economic stability, and the necessity of reforming the structure of the political system, building a civil state, the peaceful transfer of power, and excluding social marginalization.Panel Data Methodology.
Blockchain Management System with Three Layer of Security for E-Health Record using Improved 16-bit XOR Cryptography

Blockchain system has various advantages in transaction data storage.Due to the distributed nature of blockchain, security becomes a concern to store private data.In literature, many techniques to maintain security in the blockchain is proposed.But the conventional data security schemes are not alone sufficient to incorporate complete security in blockchain.Hence in this paper, a blockchain management system with three layers of security is proposed.The proposed blockchain system is suggested for E-health record (EHR).The proposed system includes three layers, and the first layer contains a user authentication wall, which is used to verify the user based on unique user id, password and usage pattern.A tri-factor mechanism is used to verify the usage pattern of the user.In the second layer, the EHR manager is used to verify the query based on policy.The policy contains 48 rules, which is used to analyse the query to grand or denied access.The final layer consists of lightweight 16-bit XOR cryptography used to store the data as cybertext.The proposed system is evaluated using three medical datasets, and its performances are evaluated based on turnaround time, tardiness, actual time delay and average actual time delay.The simulation performance of the proposed technique, that turnaround time is 55ms, tardiness is 150ms, and actualtime delay is 160ms.The encryption time of Data 1, Data 2 and Data 3 is 550ms, 50ms, and 1150ms, respectively.On the other hand, the proposed technique consumed time for decryption of Data 1, Data 2 and Data 3 is 1750ms, 65ms, and 1450ms, respectively.The performance analysis proves the effectiveness of the proposed system.Ultimately, the proposed blockchain management system is more suitable for enhancing the security for handling health records.
THE INFLUENCE OF RUNNING DICTATION METHOD ON STUDENTS’ DESCRIPTIVE TEXT WRITING ABILITY

This research was intended to find out whether or not there was a significant influence of running dictation on students’ descriptive text writing ability and to find out students’ responses toward running dictation method used for improving students in writing descriptive text. The research methodology was a quasi-experimental design. The population of this research was the tenth-grade students during the first semester of SMA Negeri 1 Jalan Cagak. The data from pre-test and post-test were analyzed by using SPSS 22.00. The data from questionnaires were analyzed by using a Likert Scale. The computation results of Independent Sample t-test it was obtained that Sig = 0.006 and α = 0.05. It means Ha is accepted because Sig &lt; α = 0.05. It can be concluded there is a significant influence of running dictation method on students’ descriptive text writing ability. Furthermore, the results of questionnaires showed that most of the students (80%) gave positive responses toward running dictation method in writing descriptive text. It can be put forward that Running Dictation is effectively used for teaching writing descriptive text, the students are motivated, enjoyable to learn and their interest through English learning especially writing is rising.
BTESL Studets’ Perception Towards Literature Subjects

This study investigates Bachelor of Teaching English as Second Language (BTESL) second and third-year students’ perception towards literature subjects in a higher education institute in Malaysia and identifies the perception, attitude and challenges faced by BTESL second and third-year students in learning literature subjects. The study involves 188 participants from a Malaysian higher education institute BTESL second and third-year students. The sample is being chosen based on the literature subjects that have been taken by the sample. A structured questionnaire has been prepared as the instrument of the study. A total of 45 items is designing in 4 different sections; including the demographic section; it applies the 5-point Likert-scales to collect the data from the respondents. The findings show the students have positive perceptions and attitudes in learning literature subjects. There are challenges faced by the student in learning literature subjects that need to be overcome by the educators. Consequently, in ensuring an effective teaching and learning process on literature subject, there must have considered in selecting text to be included in the classroom. The educators play an important role in identifying the student needs in ensuring the success of the teaching and learning process.
An Empirical Study of Students’ Acceptance of Online Education during the COVID-19 Pandemic in Saudi Arabia

This paper seeks to explore factors that determine the university student’s acceptance and adoption behavior towards online education platforms in Saudi Arabia (SA) during the COVID-19 pandemic. The research relied mainly on two theories: Unified Theory of Acceptance and Use of Technology (UTAUT), and the Technology Acceptance Model (TAM). Five different constructs were utilized from those theories to investigate the university student’s intention toward using online education platforms. The proposed model and its five hypotheses were tested by conducting a quantitative survey across social media to university students from different regions around SA. For the model validity, the measurement model was analyzed using a structural equation modeling technique applied using SmartPLS software. The survey sample consisted of 708 university students in different regions of SA. The analysis results show that Performance Expectancy (PE) and Facilitating Conditions (FC) affect students’ Attitude toward Using (ATU) and that ATU positively affects Behavioral Intention (BI). Nevertheless, Effort Expectancy (EE) is not significantly related to ATU. Thus, the level of difficulty in using the online education platform is not an effective determinant factor that would change the student’s attitude.
STUDI KELAYAKAN WADUK CIKAWARI 2A DAN 5A DALAM RANGKA PEMENUHAN KEBUTUHAN AIR KOTA BANDUNG

The water need in the Northern area of Bandung City was predicted to be 2.49 m3/s in 2040. The government responded to this issue by planning the construction of several reservoirs in the Cikapundung watershed. A previous study suggested three potential locations, i.e., Cikukang 2, Cikawari 2A, and Cikawari 5A reservoir. Since Cikawari 2A and Cikawari 5A are located on the same Cikawari river, three construction alternatives, i.e., a single reservoir of Cikawari 2A, a single reservoir of Cikawari 5A, and cascade reservoir Cikawari 2A+5A are proposed. Each alternative has its own advantages and limitations, thus evaluation of the best construction alternative needs to be carried out. The evaluation was conducted based on their reliable service in supplying water to Bandung City. This evaluation was analyzed by comparing the projected water demand following population growth and water availability derived from the rainfall-runoff model, NRECA. The analysis was conducted using two variations of dam height and reservoir capacity for each alternative. Based on the analysis results, the single reservoir of Cikawari 2A with 45 m of dam’s height was chosen as the most suitable alternative. It can supply 0.56 m3/s of water and provide water for 30.4% of the citizens in 2020, and decrease to 30.15% in 2040. However, it was also found that the reservoir could only supply 0.44 m3/s of water during the dry period. These results showed that the construction of the reservoir itself could not meet the total water demand. Therefore, another alternative is required to closing the gap in water demand.Keywords: Cikapundung watershed, water supply, Cikawari reservoir, reservoir simulation, service reliability
A block-encoding method for evolving neural network architecture

The architecture and parameters of convolutional neural networks have an important impact on their performance. To overcome the difficulties of most existing neural architecture search (NAS) methods, including fixed network architecture and huge computing cost, this paper proposes a block-encoding based on neural architecture evolving method. A new block-encoding method is designed to divide the convolutional neural network architecture into blocks consisting of multiple functional layers. Efficient mutating operation is designed to speed up evolutionary search and expand the evolution space of network architecture. Finally, the optimal evolved network is converted into an all-convolutional neural network with fewer parameters and more concise architecture. The experiments on image datasets indicate that the proposed method can greatly reduce network parameters and searching time, achieve competitive classification accuracy and directly obtain the corresponding all-convolutional neural network architecture.
Peningkatan Hasil Belajar Siswa Dengan Model Discovery Learning Berbantuan Zoom Pada Mata Pelajaran Bahasa Indonesia Kelas V Sekolah Dasar

&lt;p&gt;&lt;em&gt;The learning outcomes of students of class V SDN Sumberagung 01 on the subjects of Bahasa Indonesia is still low. The cause is the activity of student learning is low and the use of learning model that is less varied. The purpose of this research is to improve student learning outcomes in subjects Bahasa Indonesia kelas V SDN Sumberagung 01 school year 2019/2020 through model Discovery learning assisted Zoom. The subject of research is the students of class V SDN Sumberagung 01, with the number of students as many as 10 children. The Data in this research is data about the improvement of learning outcomes of Indonesian Language through the use of model discovery learning assisted Zoom. The results showed that the application of the model the model of Discovery learning assisted Zoom can increase the mastery learning students. Learning outcomes students ranging from thepre-cycle to the second cycle in a row increased, i.e. 30%, 50%, and 90% with the average 59,00, 65.70, and 89,90.&lt;/em&gt;&lt;/p&gt;
Hand and Foot Movement of Motor Imagery Classification Using Wavelet Packet Decomposition and Multilayer Perceptron Backpropagation

The development of bionic aids for paralyzed patients leads to the Brain-Computer Interface (BCI) implementation with various obstacles, especially in interpreting brain signals as triggers for the bionic organ.The reading of electrical signal activity in the brain in the BCI system uses electroencephalography (EEG) signal, which comes from many electrodes in the head area and is non-stationary.The measured EEG signal contains much information, including information for the hands and feet motor imagery, so a classification system is needed to separate the information to be processed, such as hand and foot movements.This research aims to develop an imagery motor classification system for the hands and feet so that signals can be classified correctly.The system design is made through several stages of the signal processing process consisting of the pre-processing stage using centering, the feature extraction stage with wavelet packet decomposition (WPD), and multilayer perceptron back-propagation (MLP-BP) as the classifier.Based on the result, this study got the highest accuracy value, about 26.8% at level three, and gain above 0.02.This small accuracy is due to the large error due to under fitting.
Improved Weighted Page Ranking Algorithm Based on Principal Component Analysis and Map Reduce Frame work for Web Access

In general the World Wide Web become the most useful information resource used for information retrievals and knowledge discoveries. But the Information on Web to be expand in size and density. The retrieval of the required information on the web is efficiently and effectively to be challenge one. For the tremendous growth of the web has created challenges for the search engine technology. Web mining is an area in which applies data mining techniques to deal the requirements. The following are the popular Web Mining algorithms, such as PageRanking (PR), Weighted PageRanking (WPR) and Hyperlink-Induced Topic Search (HITS), are quite commonly used algorithm to sort out and rank the search results. In among the page ranking algorithm uses web structure mining and web content mining to estimate the relevancy of a web site and not to deal the scalability problem and also visits of inlinks and outlinks of the pages. In recent days to access fast and efficient page ranking algorithm for webpage retrieval remains as a challenging. This paper proposed a new improved WPR algorithm which uses a Principal Component Analysis technique called (PWPR) based on mean value of page ranks. The proposed PWPR algorithm takes into account the importance of both the number of visits of inlinks and outlinks of the pages and distributes rank scores based on the popularity of the pages. The weight values of the pages is computed from the inlinks and outlinks with their mean values. But in PWPR method new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. To solve this problem is a MapReduce (MR) framework is promising approach to refreshing mining results for mining big data .The proposed MR algorithm reduces the time complexity of the PWPR algorithm by reducing the number of iterations to reach a convergence point.
The director's concept of the opera performance through the prism of modern theater aesthetics

The aim of the study. Rethinking conceptual approaches to creating a director's concept for an opera performance through the prism of modern theatrical aesthetics.The object is to determine modern transformations of opera performances as the results of experimentation in the field of musical theatre of young directors of Ukraine.The methodology of research consists of an integrated approach to solving the problem of modern directorial incarnations of opera performances; it involves the use of a system and analytical method to study the factors of influence on modifications in musical theatre and a structural-functional one – to determine the concept of a director's intention in the relationship of its structural elements.The relevance of the study due to the need to comply with the method of work on the performance developed by many generations of directors in the context of the search for new forms of musical and theatrical art in the context of postmodern aesthetics.Findings and conclusions. The article examines the latest trends in the development of the European opera house, their influence on the formation of repertoire policy in Ukraine. The search for new forms of musical and stage art at the junctions of theatrical genres, the increasing role of provocative forms of displaying life, the break of modern methods of expression with classical ones are investigated. The process of transformation of opera performances is analyzed through the prism of modern theatrical aesthetics, experimentation of young creators. The dualistic nature of the director's concept of an opera performance and its characteristic features have been clarified. The directorial content of staging a musical performance in modern socio-cultural realities has been established. The importance of cooperation between the director and the conductor in the development of the concept of the future performance and its implementation is outlined. The structure of the director's idea and the content of its components have been determined. In the experimental works of young directors, the interpretation of a stage work as a creative definition and concretization by the director of the super-task, the end-to-end action of the performance, clarification of the genre and style features of the work, the main and secondary conflict of drama is characterized. The crown of the director's intention is highlighted - the formation of the contours, the main components and components of the general stage image of the performance. Conditional, polyphonic, metaphorical in the art of theatre are emphasized, which, by means of associative transformation, shape the life stream of reality into an artistic and stage image. It is proved that the concept as a generalized creative intention of the future performance gives the process of its creation a specific directorial format, determines the direction of the search for expressive means, and contributes to the formation of its integral artistic and stage image.
Enhancing Predictability of Handwritten Document Content using HTR and Word Substitution

Handwritten Text Recognition (HTR) can become progressively abysmal when the documents are damaged with smudges, blemishes and blurs. Recognition of such documents is a challenging task. We, therefore propose a system to identify textual handwritten content in documents where the state-of-the-art Optical Character Recognition (OCR) existing at its full extent performs with low accuracy. By introducing word substitution using character and distance analysis for spell checking and word completion in such areas for giving out more accurate results using a word corpus, we improved our prediction results especially in cases where the OCR is prone to predict false positives on the smudge areas predominantly. Blur detection on every word before segmentation is also substituted with a new word by our OCR algorithm to avoid false positive results and are instead substituted with suitable words. This methodology is far more convenient and reliable since even state-of-the-art HTR technologies do not have more than 71% accuracy. The accuracy of the predicted test is measured using the text similarity metric - Fuzzy Token Set Ratio (FTSR).