Reviewerly/exHarmony huggingface dataset:
Face Image Generation and Enhancement Using Conditional Generative Adversarial Network

The accuracy and speed of a single image super-resolution using a convolutional neural network is often a problem in improving finer texture details when using large enhancement factors. Some recent studies have focused on minimal mean square error, resulting in a high peak signal to noise ratio. Generally, although the peak signal to noise ratio has a high value, the output image is less detailed. This shows that the determination of super-resolution is not optimal. Conditional Generative Adversarial Network based on Boundary Equilibrium Generative Adversarial Network, by combining Mean Square Error Loss and GAN Loss as a loss function to optimize the super-resolution model and produce super-resolution images. Also, the generator network is designed with skip connection architecture to increase convergence speed and strengthen feature distribution. Image quality value parameters used in this study are Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM). The results showed the highest image quality values using dataset validation were 26.55 for PSNR values and 0.93 for SSIM values. The highest image quality values using the testing dataset are 24.56 for the PSNR value and 0.91 for the SSIM value.
USING PERSONAS IN THE CAPSTONE DESIGN COURSE

In their study of design methodology, students learn that quality function deployment begins with identifying customer needs and requirements.However, when tackling their capstone design project, unless the customer requirements have been spelled out in detail by a client, the students find that they do not have the resources necessary to do the kind market research really needed to get useful customer input.Typically the students either conduct interviews with people they can easily reach -family, friends, and classmates -or they attempt to survey locally or on special interest websites.As one might expect, the results of these searches are not very useful.Little new or unexpected information is uncovered and the results are pretty much what the students would have surmised without ever getting this information.In an attempt to improve the process of gathering customer input we have introduced the students to the concept of personas and required each design team to spend some time developing a half-dozen personas representing the breadth and depth of their target market.Although in actual practice personas are composites of real customers identified after extensive market research, and here they are products of the students' imaginations, we expect these personas to become their real customers who will "tell" the design team what their needs and requirements are for the product being developed.They should also be able to go back to these "real" customers when additional information is needed or when they need to test a concept.An anecdotal comparison of the quality of customer needs and requirements gained from the use of personas and the previous method of gathering customer input is investigated to determine if the introduction of personas has improved the quality of customer input in our capstone design course.
Study of Motion Recognition Rate by Direction of Push-up Activity using Extreme Learning Machine(ELM) Algorithm

In this study, we propose a motion recognition system for each direction of push-up activity using an extreme learning machine algorithm. The recognition process consists of three parts: the first is the process of reading the motion data, during which the data acquired from the motion capture system are entered the memory of the system. The system then extracts a feature vector from the motion data. The 3D position data converted from the quaternion data value of the motion data are projected onto the X-Y, Y-Z, and Z- X planes of the system, and the values are used as the final feature vector. Feature vectors projected onto each plane train different ELMs, and a total of three ELMs are learned. Finally, by inputting the test data to each learned ELM, the final recognition result value was derived. Before obtaining motion data as the data set to be trained, first, general push-ups performed in the correct posture were selected; second, the upper chest did not go down all the way; third, only the buttocks came up when bending and lifting; finally, when bending, the elbows moved away from the upper chest. These motions are mixed to build a test dataset.
KESALAHAN PENERAPAN EJAAN BAHASA INDONESIA PADA TUGAS AKHIR MAHASISWA

Errors in the application of Ejaan Bahasa Indonesia Â (EBI) in students' final assignments (TA) have the opportunity for ambiguity to occur so that the contents of the writing are less communicative. The purpose of this study was to describe errors in the application of EBI and the relationship between error variables in TA students of D-4 Study Program of Building Maintenance and Repair Engineering and Road and Bridge Design Engineering Study Program, Civil Engineering Department, Bandung State Polytechnic. This research is qualitative and quantitative with thirty TA data as samples taken at random in the department's library. The results showed that there were 544 spelling errors consisting of: 180 capital letter writing errors, 43 word writing errors, 38 numeric errors, and 7 cursive letter errors. There were 276 punctuation errors, consisting of: 142 comma errors, 82 period errors, 40 colons, and 12 semicolon errors. The results of the quantitative analysis show that the number of errors between the variables is relatively the same. The highest number of spelling errors was caused by errors in the use of capital letters, which was 64.4%. Most other errors are caused by sign point and word writing errors.
On The Teaching Innovation of The Differential Equation Course for Engineering Students

This paper focuses on the teaching innovation of differential equation course for engineering students, and explores the innovative methods and ways of teaching mode, teaching content and teaching means in this course.
Applying Augmented Reality to Chinese Radicals Learning: A Remedial Teaching Experiment in an Elementary School

In the regions of Chinese as the first language, children with backward Chinese characters ability are more likely to give up reading the subject content of long texts, which affects their learning in the long term. This study applies augmented reality (AR) to develop a remedial teaching model for Chinese radical recognition and assesses its effectiveness on underachieved students at an elementary school. Based on several Chinese characters that were easy for children to confuse radicals, an AR app for Android was developed and installed in tablet computers. The remedial teaching model involves students to use AR app to scan radical cards and trigger animations introducing the evolution of radicals. Students can practice Chinese character writing on the tablet computer's screen. With the multiple stimulus of AR, the teacher lead students collaboratively complete the worksheets. To assess students' learning outcomes, a quasi-experimental approach was administrated to 8 second grade students who had backward Chinese literacy, in which qualitative and quantitative data were collected. Results showed this remedial teaching model improved the disadvantaged students’ recognition accuracy on Chinese characters and flips their motivation toward Chinese characters learning. During the remedial teaching program, use of AR was effective to get students more attentions and impressions on Chinese radicals. Finally, Implications for Chinese characters teaching practices are discussed
Applicability of Blockchain-Based Implementation for Risk Management in Healthcare Projects

Hospitals provide diverse tasks essential for the delivery of patient care and are comprised of many functional units. This makes healthcare construction projects highly complex among other types of building projects due to the specific regulations, multiple functions it must provide, complicated mechanical and electrical systems, and so on. This complexity embodies potential risk events during its construction, which not only influences the completion of the project but can impact the patients’ safety and health conditions even after the project is finished. To prevent such outcomes, risk management is a crucial process that can identify, evaluate, and properly mitigate risks along the project lifecycle. A key aspect of risk management is that it requires the interaction and contribution from multiple stakeholders of the project. Various frameworks and tools that enable collaborative management of risks among multiple stakeholders have been developed in the past. However, the developed frameworks are not suitable in the sense that it does not protect the confidentiality of individual inputs from the stakeholders. Moreover, these frameworks are centralized systems, which can bring issues related to the security and transparency of the information that is being stored. Blockchain technology is an emergent distributed ledger technology (DLT) that can provide solutions to the listed problems found in centralized systems. It is a novel system that records information on a decentralized, distributed ledger, where transactions are constantly duplicated and updated. This study explores the applicability of blockchain technology for healthcare risk management. The key functional elements of blockchain that can resolve the challenges faced by prior risk management frameworks have been identified and discussed. Based on the discussions, a conceptual information management model for managing healthcare project risks on a blockchain has been conceived. The development of the initial prototype has been explained. The research illustrates the process, benefits, and limitations of adopting blockchain technology for collaborative risk management in healthcare projects. &nbsp
Research on Foreign Language Talents Training Strategy under the Background of the Belt and Road Initiative

As a result of the Belt and Road Initiative’s implementation, China and the countries along the route have economic, political, cultural, and other ties, making it critical to develop necessary foreign language talents for the development of relevant exchanges. Under the auspices of the Belt and Road Initiative, we should not only enhance students, foreign language knowledge system but also their language application ability in cultivating foreign language talents. We should also encourage students to use foreign language flexibly in social and economic activities, guided by the concept of industry- education integration. Language teaching and cultural teaching should be combined in the practice of cultivating foreign language talents, and the teaching evaluation system should be guided by the teaching concept of cultivating intercultural communication ability and awareness of two-way cultural exchange.
Risk Management Analysis on KKM LKF FTI UKSW Website Using ISO 31000 Framework

Currently, many organizations are utilizing the results of the application of information technology in carrying out their business processes. The Satya Wacana Christian University Student Institute KKM Points Website is a website created with the aim of assisting the process of inputting student activity points. Currently, the use of the website is still not optimal, so it is necessary to do a risk management analysis. Website risk management analysis is carried out using the ISO 31000 framework with 4 stages. The research results can be used as a reference for organizations related to risk management so that the use of the website can be carried out optimally in accordance with organizational goals.
Optimizing Input variables for the Artificial Neural Network Model Using Genetic Algorithm

ANN models are known to give satisfactory results when it comes to simulation and ultimate prediction of events irrespective of the process as far as there are sufficient historical data which the machine learning technique can simulate. However, the process can be modified such that the ANN model can even give better results than it is giving presently; Genetic Algorithm Technique in WinGAmma software was utilized in analysing the dataset in order to select the most relevant combination of input variables from the dataset which will produce better performance of the ANN model and the output was compared with the normal ANN model which utilized all the input variables in the dataset and the GA-ANN model outperformed the ANN model with all input variables, which goes on the show the GA technique is very reliable and a welcome technique in selecting input variables for the optimal performance of the ANN model in simulation and prediction of events. The event simulated in this work is the Daily suspended sediment load with several input variables ranging from present and antecedent parameters of Discharge, Sediment Discharge and Suspended Sediment load. Although the result of the ANN model with all 7 input variables was satisfactory, but the GA-ANN model gave a much better result with lesser but more relevant input variables as selected by the GA technique.
Student's Errors in Contructing Passive Voice

There are many aspects discussed in English Grammar, one of them is passive voice, Students usually found the difficulties when they are learning passive voice, such as lack of vocabulary, less of simple past tense understanding and also they got hard time to distinguish between active and passive voice because they did not know the basic tenses mainly in simple past tense form, so when they were shown the formula of passive voices, especially in simple past tense, they barely understood and confused. This researcher used qualitative method, the design of the research was case study. Researcher analyzed and described the data from the output of the test by using qualitative method. Then,researcher analyzed the students’ errors in transforming the passive voice, and to find out the type of errors, that the students made most in their test in transforming voice of simple past tense, and also to know in terms of verb “be”,correct verb, transformation active sentence into passive sentence and transformation passive sentence into active sentence. The results of this researcher are concludes that the types of error that were made by the in transforming the passive voice from the highest percentage to the lowest are error of misformation, error of omission, and error of misordering. Researcher found that the commonest errors made by the students were the errors of misformation which take up 108 errors or 57%. It i s followed by errors in omission with percentage 23%, and errors in misordering with percentage 20%.
PARTNER READING STRATEGY : An Effective Strategy for Improving Students’ Reading Comprehension

The researchers decided to implement Partner Reading Strategy in this research because it is an effective strategy for improving the students’ reading comprehension.The students worked together to read, analyze, and discuss the text assigned in this cooperative learning strategy. This research aimed to help the students of the VIII C class of MTs N 1 Lampung Tengah improve their reading comprehension using the Partner Reading Strategy and identify their engagement in learning activities. This research used a Classroom Action Research method as research design. Partner Reading Strategy is independent variable and students’ reading comprehension is dependent variable. The subject of this research were 31 students, consisted eleven (11) male students and twenty (20) female students. The researchers used some instruments to assess students' reading comprehension that consist of formative test and summative test. In collecting the data, the writers used non-tests, including interviews, observation sheets, questionnaires, and field notes. The improvement of students' reading comprehension can be concluded from the improvement of the mean score of pre-test, formative test, and summative test. The summative test was given in the last meeting of each cycle. The result shows that using the Partner Reading Strategy successfully improved students’ reading comprehension. Moreover, students’ engagement played an influential role and impacted their learning outcomes. Implementing a Partner Reading Strategy can make students be involved in the educational activity and have a high level of engagement so that they can earn high learning outcomes.
Error Analysis on Efl Students’ Essay Writing (Fourth Semester Students of STMIK Sinar Nusantara Surakarta)

This research was finding out the errors made by English Foreign Language students in the essay writing using James’ error analysis. This study was qualitative descriptive research with 30 respondents. The data were collected by students’ mini research report which was then analyzed by observation and classification using Corder’s algorithm. It basically consists of three major stages: recognition, description, and explanation. Finally, the result was classified by using James’ four grammatical error categories. It was found out that there were 200 (100%) grammatical errors containing omission as many as 51 errors (25.5%), addition as many as 18 errors (9%), misformation as many as 105 errors (52.5%), and misordering as many as 26 errors (13%). An error correction activity was also conducted in order to decrease the errors. The result after the treatment was quite significant in which the total number of grammatical errors was decreasing from 200 to 92 containing Omission ( 22.9%), Addition ( 8.7%), Mis-formation ( 60.8%), and Mis-ordering ( 7.6%). The main causes of the errors are the lack of the students' understanding on the target language’s grammar rules and their tendency of using their first language’s grammar rules.
Pengaruh Penggunaan Daring Unram Terhadap Motivasi dan Hasil Belajar Mahasiswa Pendidikan Matematika Selama Pandemi Covid-19

This study aims to find out the effect of the use of Daring Unram on students’ learning motivation and learning outcomes in the Mathematics Education Study Program, University of Mataram. This type of research is causal comparative quantitative research (ex-post facto). The research population is Mathematics Education students class 2018, 2019, and 2020 who have studied online using Daring Unram in the even semester 2020/2021with a total of 419 people. Sampling uses a a cluster random sampling technique using the Slovin method so that there are 81 respondents for the study. The instrument in this study used a closed questionnaire with a Likert scale. Data were analyzed with the help of SPSS version 21. The results showed that: (1) There is a significant effect of the use of Daring Unram on students’ learning motivation with a value of . Furthermore, determination analysis is performed to see the magnitude of the infuence given by the use of Daring Unram on students’ learning motivation and obtained an R Square value of 0.239. This value means that the contribution given by the use of Daring Unram to students’ learning motivation is 23.9% with an enough relationship level; (2) There is a significant effect of the use of Daring Unram on students’ learning outcomes with a value of . Furthermore, determination analysis is performed to see the magnitude of the infuence given by the use of Daring Unram on students’ learning outcomes and obtained an R Square value of 0.270. This value means that the contribution given by the use of Daring Unram to students’ learning outcomes is 27% with an enough relationship level.
THE PRINCIPLES OF ORGANIZATIONAL CULTURE IN RESEARCH

Organizational culture semantically integrates the values, symbols, beliefs, myths, rituals, ceremonies and aspirations that define the spiritual space of an organization.Organizational culture is conservative by nature and will therefore oppose any innovation or trend of major management change.The sustainability of an inertial organizational culture is usually ensured through a series of managerial practices.
Analisis Kekasaran Dan Kapasitas Penampang Sungai Galang-Galang Kabupaten Polewali Mandar

Galang-Galang River or Binanga Karaeng River is a research site where this river is a border river between polewali mandar regency and Pinrang regency. In April 2020 there was a flood that damaged irrigation buildings on the right side of the bend downstream of the Galang-Galang River. This research aims to analyze the roughness and cross-sectional capacity of the Galang-Galang River. The data used consists of primary data and secondary data. The methods used in survey methods and location points are determined based on observation points that can represent the upstream, middle, and downstream sections. Analysis of roughness coefficients using manning equations. The coefficient of the galang-galang river upstream is 0.037, the middle is 0.015, and the downstream is 0.037. The difference in the coefficient value of roughness is influenced by cross-sectional irregularities, the size of the sediment grains that differ from each point, and the narrowing of the channel. Cross-sectional capacity in segments 1-1, 2-2, and 3-3 is unable to accommodate Q50 and Q100 flood discharges.
An Improved Fast Motion Estimation Algorithm in H.266/VVC

Motion estimation is a key technique of video compression coding, H.266/VVC (Versatile Video Coding) inter TZsearch fast motion estimation algorithm using the diamond search model, although the search model matching precision is high, but because of the number of search points need to match, so the computational complexity is higher also, for this defect, the article on the basis of the standard algorithm, The fast algorithm of TZSearch is optimized and improved. Firstly, the hexagonal search model with excellent performance and speed is used to replace the diamond search model in the standard algorithm. Secondly, on the basis of the rotation hexagon model, the number of initial matching search points of the rotation hexagon search model is further increased by using the feature of natural video prediction MV center bias. At the same time, a reasonable early termination threshold is set for the whole motion estimation process. Simulation results show that compared with VTM14.0 standard algorithm, the proposed algorithm reduces BDBR by 0.17% and BDPSNR by 0.04dB on average, and the overall coding time is saved by 48.85% on average. The proposed algorithm can effectively reduce the computational complexity of motion estimation process on the premise of guaranteeing the coding quality.
Processing-In-Memory of Data Filter On Compressed Data

The data filter is essential in data-centric applications, but it requires moving large data sets to the processing units. One approach to tackle such a hassle is data compression by using lightweight compression methods such as dictionary encoding. In this paper, we exploit the idea of Processing-In-Memory (PIM) data filters directly over compressed data. The initial experiments show noticeable speed-ups of over 2x against the AVX512 architecture.
Speech Function in Bilingual Setting: Associating Learners’ Standpoint

The goal of this research is to investigate students' impressions of the speech function used in a bilingual classroom. The descriptive qualitative method was chosen as the research strategy in this study. The pupils' impressions of speech function were documented by the observation technique. This comprises field notes, interviewing subjects, and taking notes. Transcription, categorization, and conclusion are all phases in data analysis. The outcomes of this research indicate that students have a favorable opinion of the speech functions utilized in the bilingual class system at Muhammadiyah University of Makassar's department of social politics. And that the employment of poetic and phatic functions in the classroom has an influence on the students' capacity to communicate successfully.