Reviewerly/exHarmony huggingface dataset:
Research on the Application Strategies of Blended Learning Models in Piano Group Classes at Higher Education Institutions under the OBE Philosophy

With the continuous development of higher education teaching reform and the promotion of teacher certification in teacher education programs, the OBE (Outcome-Based Education) philosophy has gained widespread attention in the field of education. In this context, university educators are continually exploring new teaching models to meet the personalized and diverse learning needs of students. Blended learning, as a novel teaching approach that integrates online and offline instruction, has brought about new possibilities for higher education. This study takes piano group classes as an example, integrating the OBE outcome-oriented philosophy throughout, and analyzes the reconstruction of teaching objectives from three aspects: knowledge, skills, and qualities. Through the practical application of blended learning on the BlueMooc platform, the study proposes application strategies that combine flipped classroom teaching methods and the judicious use of blended learning. The aim is to explore how to apply the blended learning model to university piano group classes under the OBE philosophy, effectively enhance students' musical literacy and keyboard skills, and meet the needs of society and employers.
Effective Teaching Research on Cross-Cultural Understanding in English at Vocational Schools from the Perspective of Core Competencies

This study explores the importance and strategies of teaching cross-cultural understanding in English at vocational schools from the perspective of core competencies. Integrating the concept of core competencies into English education fosters students' overall quality and provides a foundation for cross-cultural understanding. The research emphasizes students' cross-cultural needs, examines the relationship between cross-cultural understanding and vocational competence, and assesses its impact on English courses at vocational schools. Teaching strategies encompass goal setting, material selection, classroom teaching methods, assessment, and teacher training. Through these strategies, vocational school students can better adapt to the global job market, enhance their overall quality, and promote cultural exchange and cooperation.
Methods of Transforming "Difficult English" into "Happy English" under the Deepening Education Reform

With the popularization of compulsory education and the profound implementation of the concept of all-round development of education, English has become a very important subject in the teaching of junior high school. At present, China has been integrated into the world economic development pattern, China is also in the high-speed opening and development of the key stage, the urgent need for a large number of high-quality English professionals. As an important stage of compulsory education, junior middle school English education has become a hot topic for educational researchers. English is an examination subject in junior middle school, and it is also a subject integrating theory and practice. In teaching, we should pay attention to the characteristics and interests of junior high school students in English learning, explore how to optimize teaching situations, improve English teaching methods and create a "happy English learning" model around the current topic of most concern: "difficult English learning".
Research on the Cultivation of New Retail Talents by the Integration of Production and Education under the Background of Digital Economy

At present, China's higher vocational education is still stuck in the traditional retail talent training mode, which can no longer meet the needs of the current development of new online retail talents. Taking higher education institutions as the starting point, combined with the improvement of the dynamic adjustment mechanism of majors, this article established a new talent cultivation model, strengthened the top-level design of teacher team construction, built teaching workshops and production training bases jointly with schools and enterprises, and established and improved the internal governance mechanism of enterprises as the starting point. Under the conditions of the digital economy, the educational mechanisms of "integration of industry and education" and "collaborative education" were explored, and highly skilled new retail talents were innovatively cultivated. In the feedback evaluation of new retail talents, excellent accounted for 72.4% and good accounted for 16.5%. This article is helpful for guiding the training plan for new retail talents.
Exploration on the Innovative Path of Primary School Music Teaching under the Background of New Media

With the development of new media technology, primary school music curriculum teaching is undergoing a profound transformation. This paper explores innovative strategies for music curriculum teaching in the context of new media empowerment, starting from the perspective of new media empowering primary school music curriculum teaching. By using new media tools to enhance students' music experience, enriching teaching content with new media resources, conducting personalized teaching with new media tools, and implementing diversified assessment using new media, this paper aims to provide a new, new media perspective for primary school music curriculum teaching to adapt to the needs and development of modern education.
Research on precise teaching mode based on rain classroom—Take advanced algebra course as an example

The emergence of modern technologies such as artificial intelligence and big data has provided new technological support for reforming and innovating traditional teaching models. This article analyzes the problems with traditional classroom teaching models and constructs a precise teaching model for advanced algebra from three aspects: precise teaching objectives, precise teaching content, and precise teaching assessment. By using big data technology from the "Rain Classroom" to analyze student learning situations, various functions of the "Rain Classroom" are employed for diversified classroom interactions. This approach aims to cultivate students' independent inquiry and innovation capabilities, enhance learning interest and efficiency, improve students' comprehensive qualities, and enhance teaching quality.
Analysis of Reform in Hybrid Teaching for University Landscape Engineering

Since the establishment of the landscape architecture program in the 1950s, landscape engineering has consistently been the core and distinctive course of the program. It is closely related to courses such as landscape planning and design, as well as landscape architecture design, collectively forming the core curriculum system of the landscape architecture program. Landscape engineering, typically serving as the foundation, becomes a required course for landscape architecture majors after incorporating content related to landscape design. It holds a crucial position in talent cultivation. Through the study of this course, students can gain a comprehensive understanding of the achievements in landscape engineering, become well-versed in contemporary theoretical knowledge in the field, and develop strong practical skills, thus evolving into high-quality talents that meet industry requirements.
Research on Automatic Terminological Dictionary Extraction Based on Bilingual Parallel Corpus

Bilingual dictionaries have always been a basic resource in the fields of machine translation and cross-language information retrieval. The text in parallel corpus is a pair of sentences translated into each other. It is a set of text composed of the source language text and the corresponding translated text, which has strong text alignment characteristics. By making full use of rich corpus information in parallel corpora, a bilingual automatic term extraction system is constructed by designing reasonable algorithms to realize automatic or semi-automatic term extraction, which is used to solve the difficult problems in machine translation and cross-language natural language processing. Based on the method of deep learning, this paper constructs the LSTM model based on RNN. Based on LSTM, a new BLSTM model is formed, which has the advantages of comprehensive information, strong robustness, and the ability to take into account both front and back data in natural language processing, so that the trained machine can learn more abstract samples.
Implementasi Manajemen Proyek Pada Pengembangan Website Pemetaan Biodiversitas Tanaman Obat Di Kabupaten Kediri

The creation of a website for mapping medicinal plants and rare plants in Kediri Regency is a collaborative program between the regional Balitbang and Universitas Nusantara PGRI Kediri under the auspices of the Matching Fund. In a software development project that is closely related to SDLC (Stem Development Life Cycle) in its application there are several methodologies including the waterfall which is carried out in stages in a systematic and sequential manner, this is a problem for the use of the waterfall method. Over time, a new methodology called Scrum was discovered which is more flexible or adaptive because it is iterative and incremental. Therefore, the purpose of this study is to test how effective the use of the Scrum methodology is in managing website development projects
Sistem Pakar Mendiagnosa Penyakit Kanker Menggunakan Metode Forward Chaining

Cancer is a disease caused by abnormal growth of body tissue cells that turn into cancer cells. One of them is cervical cancer and breast cancer, this cancer often affects women. Some women tend not to know they have the disease. Data on the number of cervical cancer patients is 374 patients per year and the number of breast cancer patients is 281 per year. Knowledge and early monitoring of cervical cancer and breast cancer are needed to assist the community in carrying out early prevention and treatment. To provide a diagnosis, the help of an expert is needed, namely a specialist doctor who deals with the diagnosis and treatment of cancer. Given these conditions, it is necessary to develop a solution by designing a system that can help in overcoming the symptoms of cervical and breast cancer using an expert system for diagnosing cancer which aims to make it easier for doctors and patients to find out the symptoms of cervical cancer. and breast cancer in patients. The results showed that this expert system for diagnosing cervical cancer and breast cancer can be a medium of information, knowledge and a means of detection for cloud people in detecting the initial conditions of cervical cancer and breast cancer independently with the help of technology with this application which is expected to help in providing consultations providing information about the stage, symptoms and solutions
Estimasi Pengembangan Perangkat Lunak Dengan Use Case Size Point

In software development activities one of the stages that need to be known by the project manager and the client is the estimated effort. The estimation activity is used as a reference in determining the time and personnel involved in software development. There are several methods used in software estimation such as Function Point, COCOMO, and Use Case Point. However, there are still some shortcomings such as the subjective tendency to measure complexity and lack of calculation on technical factors and environmental factors. The estimation used in this study uses the Use Case Size Point method which is the development of the Use Case Point method. The results of the Use Case size Point were used to provide a more accurate evaluation of effort with 0.01 Mean Magnitude of Relative Error (MMRE) and 0.01 Mean Magnitude of Relative Error (MMER)
Desain User Interface Website Pemetaan Tanaman Obat Dan Langka Di Kabupaten Kediri Dengan Menggunakan Figma

The potential of medicinal and rare plants in Kediri Regency is quite large with the supportive topography of the area. However, information about these rare and medicinal plants is not widely known by the general public. The Kediri Regency Government (Balitbangda – Regional Research and Development Agency) is collaborating with Nusantara University PGRI to develop a website for mapping medicinal and rare plants in Kediri Regency. To realize the mapping website, it is necessary to design a user interface from a prototype website for mapping medicinal and rare plants. The design of the prototype uses the design thinking method. This research produces a website prototype for mapping medicinal and rare plants. The results of user assessments of the website prototype design show that 30% rate it very well, 46% rate it good, 21% rate it quite well and 3% rate it less well
Rancang Bangun Aplikasi Pengolahan Data Pakan Ternak Berbasis Web pada PT. Baling-Baling Bambu Sumbawa

The research aims to build Data Processing Applications at PT. Sumbawa Bamboo Propeller. This research uses mixed research methods, with the waterfall development method and is designed with a structured design. The system will be built using the PHP programming language with Codeigniter 3 using Visual Studio Code and Maria db as the database. This research succeeded in designing and building Data Processing Applications at PT. Sumbawa Bamboo Propeller and based on the results of the black box test which was tested directly by a senior with the title S. Kom stated that the Data Processing Application at PT. The Sumbawa Bamboo Baling has been successful and has been handed over to the Sumbawa bamboo propeller pt. The benefit that can be given from this research is that it can facilitate the employees of PT. Sumbawa Bamboo Baling in doing bookkeeping
Pengembangan Media Video Pembelajaran Untuk Mengembangkan Kemampuan Berpikir Simbolik Pada Anak Usia 5-6 Tahun

This study aims to develop the symbolic thinking skills of children aged 5-6 years in Santa Clara Ka Redong Kindergarten using learning video media. This type of research is development research using the ADDIE Model. The ADDIE model consists of several components, namely: analysis, design, develop, implementation and evaluation. The results of the study stated that the use of learning video media can help children aged 5-6 years to develop symbolic thinking skills consisting of: children are able to mention symbols of numbers 1-10, children are able to show symbols of numbers 1-10, children are able to mention symbols of numbers 1-10 sequentially, children are able to use number symbols in counting many images, children are able to use number symbols in summing images, Children are able to use number symbols in subtracting images, Children are able to mention the number of images according to the number symbol, Children are able to show the number of images according to the number symbol, Children are able to match the number of images according to the number symbol, Children are able to mention vowels and consonants, Children are able to mention the number of letters of vowels and consonants, Children are able to name objects, Children are able to represent objects in the form of pictures, The child can represent objects in written form
Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Negeri Sipil Menggunakan Metode (Combinative Distance – Based Assessment) Pada Kantor Camat Sei Kepayang

Performance appraisal is carried out to evaluate the performance of existing employees and can also be used by agencies to spur employees to work better, so an agency can give awards to employees who are considered to be outstanding. Awards can be in the form of awards, appointments in positions, promotion, or others, which can give enthusiasm and motivation to employees. The system that runs in the Sei Kepayang sub-district office still has weaknesses, namely the employee appraisal process is still done manually and there is also no system for decision-making that supports employee performance appraisal. In solving these problems, the researcher uses the method (combinative distance-based assessment) which is useful for calculating employee performance appraisals, so that the method (combinative distance-based assessment) can find out which employees get the highest achievement score. while the program to create the system uses a visual basic program. This application will display performance appraisals automatically and the final report can be printed directly, by month and year. This study aims to produce applications that become supporting facilities as a tool for calculating employee performance more effectively
Sistem Informasi Administrasi Forum Kesehatan Kelurahan (FKK) Berbasis Web Kelurahan Wonoplumbon

FKK is a form of community participation in planning, determining, and moving activities as well as monitoring in evaluating health processes at the village level. The activity of FKK has become a success for an Active Alert Village. The FKK consists of the Lurah, puskesmas, community leaders, and health cadres. The FKK can make various activities in the community run in the health sector, both in cooperation, health protection, monitoring and observation, as well as providing joint costs. The FKK also implements arrangements according to the potential of their respective regions. This arrangement is carried out in the form of activities, interventions from problems that exist in the region itself. It can be seen from the many arrangements and activities of the FKK that require a lot of administrative data and information so that a system is needed that can help work related to the administration of the FKK. From the beginning, which is still managed manually, in this research, a web-based system will be developed that can help manage administrative data in Wonoplumbon village. By using the waterfall method and the PHP programming language, CSS and Bootstrap Framework, as well as database processing using MySQL, it is hoped that this system can run well on the website. Through the method used, the system will be built following the sequence of processes from analysis, design, implementation, system testing to maintenance
PEMBELAJARAN BAHASA RUSIA BAGI PEMANDU WISATA DI PULAU BALI

The use of the Russian language in Bali is very important due to the large number of Russian tourists visiting the island of Bali. Even though Russian grammar is very diverse and has significant differences from Indonesian grammar, this does not reduce the enthusiasm of the students to continue learning Russian. The method used in this research is a qualitative method with a cultural approach. The results of the study show that there are more and more Russian-speaking tour guides in Bali in line with the number of Russian tourist visits which continue to show an increase from 2002-2017. Some of them learn Russian through teaching institutions, and some are self-taught. In fact, a lot of information related to tourism to the island of Bali has now been made in Russian to make it easier for Russian tourists to understand.
A Implementation of Text Mining In Sentiment Analysis of Shopee Indonesia Using SVM

Many online shopping users convey an assessment of a product through status comments. Comments indicate a non-standard form of expression. Nowadays, user comments are increasing rapidly, which makes data management difficult. Today's society has so many choices; most of them are used for preference as a final recommendation. The top item shows the preferences of the available items, recommended based on future predictability. The predictive rating of some items is used by the user to recommend the item to other users. Sentiment analysis can recommend items of choice for online shopping in various fields of application, especially in e-commerce. Sentiment analysis is used to identify opinions, ideas, or thoughts from online media. Shopee is one of the largest online business platforms. Classification Sentiment analysis towards Shopee based on the Support Vector Machine (SVM) was used in this study on the Shopee application using 990 training data and 110 test data. From the test data, 28 data entered the negative class and the remaining 82 data entered the positive class and resulted in an accuracy rate of 80.90%, meaning that from 110 assessments there were 89 assessments classified exactly in the sentiment class.
TASKS FROM ONLINE COMPETITION “VIVA MATHEMATICS WITH А COMPUTER”: A RESOURCE FOR WORK IN STEM CENTERS

It is shown how a well-known task, also used in the „VIVA Mathеmatics with Computer“ and “Theme of the Month” online competitions, can become a base for regular classes and/or explorations in school STEM centers. The task is related to a special case of the classical Holditch theorem and allows the development of various substantive studies using the GeoGebra system. The structure of the necessary GeoGebra auxiliary files for these studies is described. The analysis of the results of the participants in the mentioned competitions gives a reason to consider that the tasks in the article are accessible to students from upper secondary education. In addition to work in STEM centers, the article can be used in preparation for participation in the "VIVA Mathematics with a Computer" competition, as well as for developing skills for working on independent student research. The article would also be useful in the preparation of future teachers.
TwoSampleTest.HD: An R Package for the Two-Sample Problem with High-Dimensional Data

The two-sample problem refers to the comparison of two probability distributions via two independent samples. With high-dimensional data, such comparison is performed along a large number $p$ of possibly correlated variables or outcomes. In genomics, for instance, the variables may represent gene expression levels for $p$ locations, recorded for two (usually small) groups of individuals. In this paper we introduce [TwoSampleTest.HD](https://CRAN.R-project.org/package=TwoSampleTest.HD), a new `R` package to test for the equal distribution of the $p$ outcomes. Specifically, TwoSampleTest.HD implements the tests recently proposed by [@Marta2] for the low sample size, large dimensional setting. These tests take the possible dependence among the $p$ variables into account, and work for sample sizes as small as two. The tests are based on the distance between the empirical characteristic functions of the two samples, when averaged along the $p$ locations. Different options to estimate the variance of the test statistic under dependence are allowed. The package TwoSampleTest.HD provides the user with individual permutation $p$-values too, so feature discovery is possible when the null hypothesis of equal distribution is rejected. We illustrate the usage of the package through the analysis of simulated and real data, where results provided by alternative approaches are considered for comparison purposes. In particular, benefits of the implemented tests relative to ordinary multiple comparison procedures are highlighted. Practical recommendations are given.
Blockchain-Based Software Subscription and Licenses Management System

Current software licensing models exhibit shortcomings in transparency, security, and adaptability. Addressing these challenges, this study presents a novel blockchain-based licensing system using the Ethereum platform. By employing smart contracts and the ERC721 and ERC20 token standards, the system ensures automated, transparent, and secure license agreement enforcement and facilitates license token operations. Influenced by the rise of subscription licenses and the implications of the UsedSoft court decision, the research designs a blockchain-driven subscription license model, analyses the UsedSoft case’s impact on license transfers, and formulates specialized smart contracts for varied licensing models. The approach signifies a marked advancement in contemporary software licensing practices.