Reviewerly/exHarmony huggingface dataset:
Students’ Perception in Using Social Media as Language Learning

Covid-19 pandemic has forced college students to study using online learning platforms. Therefore, this study focuses to examine the preferred media to facilitate e-learning and the students’ perception in using e-learning as a means of assessment. This study observes students from two private universities in Central Java namely Universitas Ngudi Waluyo and Universitas AKI, Indonesia, who have all taken English for Academic Purposes (EAP) lecture using YouTube and WhatsApp platform. 123 feedbacks were collected, and 17 students were chosen randomly to verify their answers of the questionnaires. The results of this study showed that e-learning using YouTube was preferable for students compared to using WhatsApp Group. The major problem of utilizing YouTube as e-learning was the slow and expensive data plan. The second result pointed out that most of the students or around 63% of the populations were neutral in terms of satisfaction level of online assessment. It could be inferred that this assessment method was acceptable for the students.
Computer Vision System Proposal using Azure Cognitive Services to improve the anamnesis process in a psychological office

The present study was carried out with the purpose of proposing a computer vision system using Azure Cognitive Services for a psychological office located in Trujillo -Peru in the year 2021, in order to improve the anamnesis process in the office. The study was descriptive-propositional with a sample of 6 psychologists. To obtain the information, a questionnaire was constructed and applied to the sample. Due to the nature of the research, the data was compared with the standard that comes from the Likert scale. The dimensions of the anamnesis process described were Justification of results and Reliability of Results. The aspects that were considered for the Computer Vision System were Security and Usability. Finally, for Azure Cognitive Services, aspects such as Decision, Language,Voice and Vision were considered.Based on the analysis performed, the results showed that the anamnesis process can be improved through a computer vision system using Azure Cognitive Services.
Denoising of Impulse Noise using Partition-Supported Median, Interpolation and DWT in Dental X-Ray Images

The impulse noise often damages the human dental X-Ray images, leading to improper dental diagnosis.Hence, impulse noise removal in dental images is essential for a better subjective evaluation of human teeth.The existing denoising methods suffer from less restoration performance and less capacity to handle massive noise levels.This method suggests a novel denoising scheme called "Noise removal using Partition supported Median, Interpolation, and Discrete Wavelet Transform (NRPMID)" to address these issues.To effectively reduce the salt and pepper noise up to a range of 98.3 percent noise corruption, this method is applied over the surface of dental X-ray images based on techniques like mean filter, median filter, Bi-linear interpolation, Bi-Cubic interpolation, Lanczos interpolation, and Discrete Wavelet Transform (DWT).In terms of PSNR, IEF, and other metrics, the proposed noise removal algorithm greatly enhances the quality of dental X-ray images.
The Genesis of Noonomy: the Problem of Reflection in Economic Education

The article reveals the need to reform education in the field of economic theory. Modern processes of deep economic and technological transformations leading to the birth of knowledge-intensive production and to the transformation of a human into the main goal and means of economic development, determine the conclusion that modern social and economic development moves towards a new quality of social life, to the emergence of a phenomenon identified by S.D. Bodrunov as noonomy. The author justifies the need to update the model of economic education using, among other things, noonomy theory.
Students' mathematical training for professional self-realization in a modern, inventive society

In the framework of their professional self-realization on the contemporary job market, the paper explores the issues with professionals' training for mathematics at universities. The structure of students' mathematical proficiency is taken into consideration, and its key elements are substantively presented (the ability to ask and answer questions in and with mathematics, the ability to deal with mathematical language and tools). The initial (ascertaining) step of the pedagogical experiment allowed for the establishment of the level of students' mathematical proficiency and formation in accordance with the predetermined structure. It has been demonstrated that students, both of mathematical and non-mathematical majors, lack the mathematical knowledge and abilities necessary to solve complicated issues, particularly those involving modeling in the context of future professional engagement. The following fundamental strategies for developing students' mathematical competence are supported: research-focused instruction, an interdisciplinary approach with a practical focus, and the use of digital learning environments and related resources. The implementation strategies for these techniques are described in the authors' optional course "Methods of formation of students' mathematical competence for the future successful career" for math specialist students. The research will continue with the introduction of the aforementioned discipline to the educational system, which will include the subsequent assessment of future teachers' readiness to employ the suggested methods in their professional work.
Simulation of Linear Optical Interferometers (Extended Abstract)

We propose an algorithm to compute the full output distribution of photons passing through linear optical interferometers. More precisely, given n photons at the input of an m-mode interferometer, the proposed algorithm computes the probabilities of all the $\binom{n + m - 1}{m - 1}$ possible output states in a linear time complexity of $O\left( {n\binom{n + m - 1}{m - 1}} \right)$, outperforming the naive method – computing one permanent for each state – by an exponential factor. The benchmarking has been carried out on a quantum machine learning use-case, to both illustrate the gain and give one possible application. Finally, as storing all the probabilities requires a memory space that is exponential in n and m, we discuss and give strong evidence that memory is far more limiting than the time for the computation of the full distribution.
A Study on the Effectiveness of the Internal Organizational Communication Process of Alano &amp; Sons Credit Corporation: Basis for Continuous development of Company Operations, Dipolog City, Philippines

This study aimed to assess the effectiveness of the internal communication process of Alano &amp; Sons Credit Corporation during the calendar year 2019. This study used the descriptive research design with survey as the chosen data-gathering tool. The effectiveness of the communication process was measured using the components of effective communication. The respondents consisted of 171 regular employees of Alano and Sons Credit Corporation. Frequency counting, percentage, weighted mean, and ANOVA were used to answer the research problems and test the null hypothesis. The study found no significant differences on the level of effectiveness of communication process when employees are grouped in terms of sex, age, highest educational attainment, position, length of service, and area/office of assignment. The study also found that the employees see the overall communication process of Alano &amp; Sons Credit Corporation as effective. This is consistent in all components namely, communicator, message, channel, feedback and environment. Furthermore, the evaluation on the effect of the barriers of communication present within the company found that the employees see them as having a significant effect.
Efektifitas Penerapan Desain Pembelajaran IPS dalam Pembelajaran Daring

The purpose of this study was to determine the effectiveness of the application of social studies learning design in online learning. This study uses a descriptive method, namely the method of researching the status of a group of people, an object, a set of conditions, a system of thought or a class of events in the present. This data analysis was obtained from various sources using various data collection techniques (triangulation). The results of the study explain that online learning is effectively carried out at SMPN 5 Bengkulu City because, every student has a mobile phone with a good internet connection, making online learning applicable. in social studies subjects, students are enthusiastic about participating in learning activities well. This is because teachers use various media on the internet to support teaching and learning activities. online learning received a positive response from parents of students in suppressing breaking the chain of the spread of the covid-19 virus. In conclusion, online learning is effectively implemented in SMPN 5 Bengkulu City.&#x0D; &#x0D; Keywords: Learning Design, Online, Effectiveness,
Robust Breast cancer Detection using Faster R-CNN Algoritma

One of the most common screening tools for breast cancer detection is ultrasound. However, the lack of qualified radiologists causes the diagnosis process to become a challenging task. Deep learning's promising achievement in various computer vision problems inspires us to apply the technology to medical image recognition problems. We propose a detection model based on the Faster R-CNN to detect breast cancer quickly and accurately. We conduct this experiment by collecting breast cancer datasets, conducting pre-processing, training models, and evaluating the model performance. Based on the experiment result, we obtain that this model can detect breast cancer with bounding boxes. In this model, it is possible to detect the bounding box that is more than what it should be, so we applied NMS to eliminate the prediction of the bounding box that is less precise to increase accuracy.
Aplikasi Cerdas Membantu Orang Tua Meningkatkan Kecerdasan Anak Dalam Pembelajaran Online Pandemi Covid -19 Dengan Algoritma C4.5.

During the current covid-19 pandemic, parents must play a direct role as teachers during online learning from school for their children at home. Knowing the potential intelligence of children is certainly important for parents. By analyzing the ability of the right and left brain, a child can be directed and developed according to their respective abilities. The ability of children's brains at the age of 6 to 12 years is very good to make parents and teachers more selective in determining suitable learning methods to apply them to children. The system that will be built in this research makes it possible to determine the potential of brain intelligence possessed by a child by classifying based on alternatives from the state of right brain or left brain intelligence provided in the database to determine the child's potential. The process of classifying the potential intelligence of children is carried out using the C4.5 Algorithm method pattern from the field of Data Mining. The results of this study are applications that can help parents understand the potential of a child. during the pandemic. The results of making the system that has been carried out have been tested using Rapid Miner and get accurasy results of 90% and classification error with a value of 10%.
The Role of Commitment-Based Human Resource Management Practices in Enhancing Perceived Organizational Support (Search in an Analytical Sample of the Iraqi Private Universities in the Region of the Middle Euphrates)

The main purpose of this research is to clarify the role of commitment-based human resource management practices in enhancing perceived organizational support, as these practices are part of the strategic approaches to human resources management that private universities and colleges can adopt to face the challenges facing their business environment.The researchers used a sample from those private universities and colleges to study them in order to test the relationship and influence of human resource management practices based on commitment to its dimensions represented by (selection, compensation, training and development), and the perceived organizational support variable (one-dimensional).The questionnaire has been used as a data collection tool, from which (400) forms have been distributed among the teaching staff in Iraqi private universities in the Middle Euphrates region.The number of retrieved forms has been (395) forms, and the valid ones amounted to (377) forms.For the purpose of data processing and analysis, the researchers have used a number of statistical methods such as arithmetic means, standard deviation, and correlation coefficient, by using the SPSS vr.24, AMOS vr.24 program.The research reached a set of conclusions, the most important of which is that through commitment-based human resource management practices, ‫ٗاىغج٘هٛ‬ ‫اىغبٍَٜ‬ ‫ٗاالقزصبكٝخ‬ ‫االكاهٝخ‬ ‫ىيؼيً٘‬ ‫اىَضْٚ‬ ‫ٍغيخ‬ ‫اىَغيل‬ ( 11 ) ( ‫اىؼلك‬ 3 ) -( 2021) 48 -65 perceived organizational support for the researched faculties could be strengthened.The research presented a number of recommendations, the most important of which is the need for private universities researched to use human resource management practices in order to develop the knowledge, skills and capabilities of their teaching staff in line with the developments of the surrounding environment.
DESIGNING NURSING ENGLISH E-LEARNING MODULE USING SCHOOLOGY AT STIK MUHAMMADIYAH PONTIANAK ACADEMIC YEAR 2018/2019

The purpose of the research is to design Nursing English e-learning module using Schoology at STIK Muhammadiyah Pontianak academic Year 2018/2019 and to find out the students’ perception about it. This research is research and development type. By digging the obstacles in the Nursing English class of Regular B, the researcher found the way out that Nursing English e-learning module using Schoology is the solution. The Design of the Nursing English e-learning modul arranged is responded very well by students. To design it the researcher uses ADDIE model. The steps are Analysis, Design, Develope, implementation and Evaluation. By using the e-learning module of Nursing English the students responded very positively. From all five aspects of practicality assesment of the Nursing English e-learing module namely; effectiveness, creativity, efficiency, Interactivity and attractiveness, the students gave score above 81 % means that they strongly agree to say that the Nursing English e-learning module using Schoology at STIK Muhammadiyah Pontanak Academic Year 2018/2019 is very feasible to use.Keywords: Designing, Nursing English, Schoology, e-learning module
Improving Students’ A Bility In Speaking And Writing Descriptive Text By Using Think, Talk, Write (TTW) Strategy A Classroom Action Research at the Tenth Grade Students of

The aims of this research are : (1) To find out the process of improving students’ ability in speaking and writing descriptive text by using Think-Talk-Write (TTW) strategy at the tenth grade students of SMK Babunnajah. (2) To find out the result of improving students’ ability in speaking and writing descriptive text by using Think-Talk-Write (TTW) strategy at the tenth grade students of SMK Babunnajah. This research is qualitative by implementing Classroom Action Research (CAR). The research was conducted at SMK Babunnajah in Mei until June 2019. The subjects of this research were the tenth grade students of SMK Babunnajah. It consists of 20 students. This classroom action research was conducted in two cycles. Each cycle consisted of four steps: plan, action, observation, and reflection. The data were collected from qualitative and quantitative. The research findings show that the mean of writing score in pre-test was 48.25, the mean of writing score in post-test cycle I was 66.25, and the mean of writing score in post-test cycle II was 77.25. While, the mean of speaking score in pre-test was 56, the mean of speaking score in post-test cycle I was 70,8 and the mean of speaking score in post-test cycle II was 81.2. It means that post-test 1 was higher than pre-test and post-test 2 were higher than post-test 1. It can be concluded that Think-Talk-Write Strategy can improve students’ writing and speaking ability in descriptive text.
Student Personalized Management System Based on Collaborative Filtering Algorithm

The colleges and universities are currently accelerating the pace of various informatization, and students and schools are gradually inseparable from the construction of network informatization in solving problems in life and work. The purpose of this paper is to study the design of student personalized management system based on collaborative filtering algorithm. The system adopts.NET technology and MVC technology, and applies B/S structure to build the system, which solves the key problems of information exchange service design, data sharing mechanism and strategy, and access control mechanism, and conducts design and implementation of key subsystems. The functions of user management, teacher management, student function, student status, teaching function and achievement function are studied respectively. On the basis of user collaborative filtering recommendation technology, it is improved to design a calculation strategy that is more suitable for student test item recommendation, and the timeliness is introduced in the calculation of student similarity, which effectively improves the accuracy of similarity and reduces the amount of calculation; the improved algorithm hits The rate is above 80. By recommending personalized test questions for students, it can help students better consolidate mistakes, master knowledge and difficulties, and improve their academic performance.
MC (MATH WITH CULTURE) INOVASI MEDIA PEMBELAJARAN ERA SOCIETY 5.0 GUNA MEMBANTU SISWA SMP

Saat ini perkembangan ilmu pengetahuan dan teknologi semakin pesat dan tanpa batas. Perubahan pola pikir dan tingkah laku masyarakat merupakan dampak dari perkembangan ilmu pengetahuan dan teknologi tersebut atau yang saat ini dikenal dengan istilah society 5.0. Salah satu tantangan terbesar di era society 5.0 ini adalah berkurangnya peran aktif masyarakat dalam mengimplementasikan warisan budaya di Indonesia. Penulis dalam artikel ini menawarkan solusi inovasi media pembelajaran berupa sebuah aplikasi yaitu MC (Math with Culture) guna membantu siswa SMP dalam mengimplementasikan warisan budaya melalui pembelajaran matematika. Metode yang penulis gunakan yaitu Research and Development dengan model Analysis, Design, Development, Implementation, and Evaluation (ADDIE) dengan teknik analisis data secara kualitatif dan kuantitatif. Pada penelitian ini, didapatkan hasil bahwa aplikasi MC (Math with Culture) dikategorikan layak dipakai dalam pembelajaran mata pelajaran matematika. Kata Kunci: Society era 5.0; Budaya Indonesia, Aplikasi MC (Math with Culture). Abstract Nowadays, the development of science and technology is increasingly rapid and boundless. Changes in people's mindsets and behaviors are the impact of the development of science and technology or what is currently known as society 5.0. One of the biggest challenges in this era of society 5.0 is the reduced active role of the community in implementing cultural heritage in Indonesia. The author in this article offers an innovative learning media solution in the form of an application, namely MC (Math with Culture) to help junior high school students in implementing cultural heritage through mathematics learning. The method that the author uses is Research and Development with the (Analysis, Design, Development, Implementation, and Evaluation) ADDIE model with qualitative and quantitative data analysis techniques. In this study, the results were obtained that the MC (Math with Culture) application was categorized as feasible for use in learning mathematics subjects. Keywords: Society era 5.0; Indonesian Culture, MC (Math with Culture) Application.
Impact of Human Resource Flexibility on Institutional Excellence: Analytical Study in General Directorate of Education Baghdad, Second Karkh

This research seeks to test the impact of human resource flexibility in its dimensions (skill flexibility, behavior flexibility, human resource practices flexibility) on institutional excellence in its dimensions (leadership excellence, service excellence, cognitive excellence) in the General Directorate of Education in Baghdad Karkh II, and the researcher adopted the descriptive analytical approach in The completion of his research, and the General Directorate of Education in Baghdad AlKarkh is considered the second research community. As for the research sample, it included the directors of departments, divisions and units, which is an intentional, stratified sample that amounted to (102) individuals from the total population of (104). The researcher adopted the questionnaire as a main tool for data and information collection and analysis. The results of the research The researcher adopted the program (spssv26) with the adoption of descriptive inferential statistics methods represented by (arithmetic mean, standard deviation, coefficient of variation, relative weight, calculated T value). In institutional excellence in the organization in question, and the directorate did not invest the flexibility of skill in improving institutional excellence.
WHAT IS ABOUT ONLINE LEARNING?

This article is entitled What's About Online learning? This article aims to describe what online learning is and at the same time describe how online learning is implemented in a school and the constraints and solutions that are given to the various challenges faced in learning. The study also found three sub-focuses, they are (1) the implementation of online learning policies, (2) the obstacles faced by teachers, parents, and students in online learning, and (3) solutions that were given to obstacles in online learning. In addition, the researchers also found its benefits in online learning experienced by parents, students, and teachers. Data collection techniques used were observation, interviews, and documentation. Data analysis techniques used were data reduction, data display, and conclusion. The informants consisted of principals, school supervisors, 12 students, 12 parents, and school committee administrators. The results indicated that the implementation of online learning policies has not gone well. Its success was inseparable from the discipline of all participants, they are schools, teachers, parents, and students. Therefore, from the school, it was required a systematic structure and simple schedule that could make it easier for parents to supervise children's learning. The involvement of parents influences the successful learning for children themselves, because education for children was not completely left to the school. The solutions given to the existing constraints are not appropriate and need to be re-examined.