Reviewerly/exHarmony huggingface dataset:
Open Source Software Supply Chain Recommendation Based on Heterogeneous Information Network

In the GitHub open-source collaborative development scenario, each entity type and the link relationship between them have natural heterogeneous attributes. In order to improve the accuracy of project recommendation, it is necessary to effectively integrate this multi-source information. Therefore, for the project recommendation scenario, this paper defines an open source weighted heterogeneous information network to represent the different entity types and link relationships in the GitHub open source collaborative development scenario, and effectively model the complex interaction among developers, projects and other entities. Using the weighted heterogeneous information network embedding method, extract and use the rich structural and semantic information in the weighted heterogeneous open source information network to learn the node representation of developers and projects, and fuse the personalized nonlinear fusion function into the matrix decomposition model for open source project recommendation. Finally, this paper makes a large number of comparative experiments based on the real GitHub open data set, and compares it with other project recommendation methods to verify the effectiveness of our proposed open source project recommendation model. At the same time, it also explores the impact of different metapaths on the effect of project recommendation. The experimental results show that the recommendation method based on heterogeneous information network can effectively improve the recommendation quality.
Container-Driven Scheduling Strategy for Scientific Workflows in Multi-vCPU Environments

In a distributed resource environment, container technology highly facilitates the deployment and execution of scientific workflow tasks. However, existing scientific workflow scheduling studies barely consider the multi-channel programming of computational resources, which makes it hard to simultaneously achieve effective container sharing and optimize task parallelism and resource utilization. In this paper, we propose a segmented workflow scheduling strategy based on container technology in multi-vCPU devices environment. It reduces the solution space size of the heuristic algorithm through a segmented scheduling approach. And it uses an adaptive discrete particle swarm optimization algorithm with genetic operators (ADPSOGA) to optimize the average completion time of each workflow under the constraint of device rental cost. In addition, we propose a dynamic scaling scheme between containers and devices to reuse containers and solve the problems related to resource contention when tasks are parallel in a device. Experimental results indicate that ADPSOGA outperforms other similar heuristics algorithms, and the segmented scheduling approach significantly improves the optimization-seeking efficiency of the algorithm.
Bindings Winter 2019

Investing in our research libraries.&amp;nbsp; The UI Libraries monitors investments in both resources and staff to ensure an integrated balance for our scholars, who rely not only on access to information but also on librarians who make vital contributions to the university community such as teaching in the classroom, helping with textbook affordability, shedding light on murky aspects of scholarly publishing, promoting Iowa researchers by increasing access to their work, and more.
OPTIMIZED ALGORITHMS FOR BCI APPLICATIONS

The development of brain-computer interface (BCI) technology has the potential to fundamentally alter how we interact with both technology and our environment.One of the main uses for BCI technology is in the area of assistive technology, where it may be used to improve communication for persons with motor difficulties like amyotrophic lateral sclerosis (ALS).ALS is a neurodegenerative disease that progressively impairs a person's ability to move, speak, and breathe.This disease can be devastating for patients, who may eventually become completely paralyzed and unable to communicate.BCI technology offers a promising solution to this problem by allowing patients to communicate using their brain signals.One of the most common types of BCI interfaces used for communication is the P300 speller, which presents a set of characters on a screen and records the EEG signals of the user as they focus on the desired character.The accuracy of this system is critical in enabling effective communication, and machine learning (ML) algorithms such as support vector machines (SVM), k-nearest neighbors (KNN), linear discriminant analysis (LDA), and random forest (RF) can be used to increase the accuracy of the system.In this study, we collected data from eight ALS patients, including four with spinal muscle issues and four with bulbar muscle issues.We obtained demographic and clinical data from each patient to improve the accuracy of the system.Using the P300 speller, we recorded EEG signals from each patient as they focused on the desired character, and used ML algorithms to process the data and classify the signals.We evaluated the performance of the algorithms using a confusion matrix and calculated various measures of accuracy such as precision, recall, and F1 score.We found that using the LDA algorithm two times in one RF tree resulted in the highest accuracy and provided a promising approach for improving the performance of the system.As a result, our work shows the potential of ML algorithms like RF and LDA for enhancing the precision of BCI spellers for ALS patients.These results open up a viable path for the creation of efficient communication tools for those with movement limitations, which can significantly improve their quality of life and prolong their independence.
Preparing Atomic Structure and Periodical System Android Based-Teaching Media using Funchem Smart Apps Creator Program

Learning media is one of the developments in information technology that has an impact on the world of education.As a result, the education sector must be able to use technology to create multimedia-based learning media that are more appealing, interactive, and comprehensive.The purpose of this research and development is to describe the preparation step, feasibility (validity), effectiveness, and improvement of student learning interest through learning media using an Android-based teaching model developed in general chemistry learning of atomic structure and periodic system elements material using the 4D development model.This research and development resulted Android based learning applications with a capacity of 28.3 MB "Funchem" that has been declared valid (appropriate) with the goal of creating learning applications that are accurate and concise for usage by students.Validity is met based on the assessment of the validators of material experts and media experts with the feasibility level for media eligibility is 87.5% and for material eligibility is 85.6%, putting it in the highly feasible category for both media and material.
BLOCKCHAIN IN CLOUD COMPUTING FOR SECURING DOCUMENT

Blockchain-based cloud computing refers to the integration of blockchain technology with cloud computing infrastructure to enhance the security and privacy of data and transactions.Cloud computing provides a platform for storing, processing, and accessing data over the internet, while blockchain technology offers a decentralized and secure platform for storing and managing data.The integration of blockchain and cloud computing has the potential to improve data security, increase data transparency, and reduce the risk of data breaches.One of the key benefits of blockchain-based cloud computing is its ability to provide a distributed and secure platform for data storage and management.With blockchain, data is stored in a decentralized network of nodes, making it more difficult for unauthorized parties to access or modify the data.Additionally, blockchain can provide a tamper-proof audit trail of all transactions, making it easier to track and verify data.Another key benefit of blockchain-based cloud computing is its ability to enhance data privacy.Since blockchain technology provides a decentralized and secure platform for data storage and management, it can help to reduce the risk of data breaches and cyberattacks.Additionally, blockchain can be used to create secure and private communication channels between users, further enhancing data privacy.Overall, the integration of blockchain technology with cloud computing infrastructure has the potential to revolutionize the way data is stored, processed, and accessed.By providing a secure and decentralized platform for data management, blockchainbased cloud computing can help to improve data security, increase data transparency, and enhance data privacy.
Educational Potential of Influencer Publications in the Aspect of Social and Intercultural Competence Formation

The article presents the results of a study conducted with 240 students from two schools in Sofia (Bulgaria). The aim of the study is to trace the potential educational effect of influencer publications on children in terms of supporting the process of forming social and intercultural competence. Among the main objectives are to trace the impact of influencer publications on children’s attitudes, views, and opinions; to identify the presence or absence of educational potential in the content produced by influencers; as well as to outline recommendations for the beneficial integration of such content in the educational process. The research methods used are theoretical analysis, projective methodologies, and content analysis. The results indicate the presence of educational potential in the content presented by opinion leaders in the direction of facilitating the formation of social and intercultural competence in children.
The Role of Productive Educational Technologies for the Formation of Mathematical Competence of Children between 5 – 7-Aged

The article examines the productive educational technologies - construction and educational activities and their potential for the formation of mathematical competence with 5 – 7-year olds. Productive educational technologies are innovative, promising and adequate for modern requirements. In the system of preschool education they are established as one of the leading technologies.
Dynamics of Expectations towards Socio-personal Profile of the Primary Teacher

Scientific studies are aimed to track the dynamic specific skills and abilities of the teacher before and throughout the pandemic period. The comparative characteristic covers the expectations of students from 3rd and 4th grade part of different school types in Bulgaria. Based on conducted comparative and mathematical-statistical analysis, recommendations related with internal and external qualification of the teachers and students were made.
Body Language Difference in Meaning in Cross-cultural Communication

Body language is widely used as a kind of means of nonverbal communication.Not only can it help people express their thoughts and feelings, but also transmit all kinds of communicating information.This paper discusses the significance of body language by analyzing the difference in meaning in cross-cultural communication of several typical behaviors.Firstly, the first part gives a brief introduction of body language, including its definition, characteristics, and functions, which make readers have a clear understanding.Then,the classifications of body language according to several typical behaviors is presented in the second part, including facial expression, gesture, body posture and spatial distance of body.The third part mainly describes body language difference in meaning in cross-cultural communication.It is concluded in the last part that the function of body language in cross-cultural communication is indispensable, this paper will give some inspirations to people when they are engaged in cross-cultural communication.
Exploring the Pathway of Integrating Chinese Fine Traditional Culture into Pre-school Education

The early childhood stage is a key stage for carrying out enlightenment education.Actively integrating the ideas and concepts of Chinese excellent traditional culture into preschool education teaching can inculcate young children through subtle influence, which is not only an important guarantee for forming national cultural confidence, but also a need to inherit excellent traditional culture.Chinese excellent traditional culture is rich in educational resources, and effective integration and infiltration of Chinese traditional culture in preschool education not only enriches the content of preschool education and broadens the ways and means of preschool education, but also has important significance in building a strong socialist cultural nation and promoting the inheritance and development of excellent traditional culture.However, how to effectively integrate excellent traditional culture and preschool education has become an urgent research topic for preschool educators, and many difficulties have been encountered in the implementation process.Teachers and parents should follow the characteristics of children's physical and mental development and cognitive rules, and choose the appropriate content and form to teach.This paper analyses the current situation and problems of integrating excellent Chinese traditional culture into preschool education, and explores the countermeasures and suggestions for effective infiltration of traditional culture education, in order to help young children understand the connotation and charm of Chinese traditional culture and carry it forward, and cultivate the spirit of patriotism.
Innovative Research on the Cultivation of Cross-cultural Business Communication Competence from a Multi-dimensional Dynamic Perspective

As an essential skill in global economic communication and world business communication, intercultural communication competence is crucial to enhance China's international influence.Therefore, this paper proposes an innovative research on cross-cultural business communication ability cultivation from a multi-dimensional dynamic perspective.Based on the current situation and necessity of the cultivation of intercultural business communication ability in China, this paper proposes three innovative strategies for the cultivation of intercultural business communication ability, namely, restructuring the cultivation system, enriching the cultivation mode, and following the effective cultivation principles, to provide reference for the development of students' comprehensive English ability.
The Research and Practice of the Mixed Teaching Model of College English Based on MOKE

The emerging educational concepts are gradually promoting the reform of education.As an important subject of teaching, English teaching mode is very important.Therefore, this paper studies the research and practice of the mixed teaching mode of college English based on MOKE.This paper analyzes the current situation of English mixed teaching in colleges and universities, and finds out the problems in English mixed teaching.We should also strengthen the teaching quality of college English from the following aspects: selecting an appropriate online English teaching platform, optimizing college English teaching links based on Muke, and creating a mixed teaching activity of college English Muke.Through the above research, it aims to strengthen students' love of English and provide quality assurance for English teaching.
A Comparative Study of Seven Machine Learning Algorithms for Breast Cancer Detection and Diagnosis

This paper presents a comparative analysis of seven distinct machine learning (ML) algorithms, namely Linear Discriminant Analysis, Logistic Regression, K-Nearest Neighbor, Decision Tree Classifier, Random Forest Classifier, Voting Classifier, and Support Vector Machine, in predicting the diagnosis of breast cancer.The study utilized 30 histological tumor features obtained from digital imaging of fine needle aspirates of breast tumor cell masses contained in the dataset, achieving an accuracy of approximately 95% through the application of the aforementioned algorithms.Results show that the LDA and RFC algorithms outperformed the others in terms of accuracy in diagnosing breast cancer.Furthermore, the study suggests that the stability of diagnostic outcomes is better achieved with large-scale data.Finally, the accuracy of the LR algorithm was observed to be less than 85% after conducting Principal Component Analysis (PCA), which was lower than the accuracy achieved without dimensionality reduction.
Focusing on the Development Path of Students' Learning Ability under the Key Competence of English Subject

The English Curriculum Standards for Compulsory Education (2022 Edition) proposes that language proficiency, thinking quality, cultural awareness and learning ability are the key competences of students that should be developed in English teaching.Learning ability plays a very important role in students' mastery of the scientific method and the development of lifelong learning habits, but most English educators do not achieve this goal well.Based on the discussion of the definition of learning ability and its subject characteristics, the current situation of learning ability cultivation in English teaching is analyzed, and the path of learning ability cultivation is proposed in three aspects: learning strategies, learning channels, and learning motivation with actual cases.
Exploration and practice of online teaching of Chinese as a foreign language

This paper discusses the online teaching of Chinese as a foreign language in domestic universities with its openness and convenience, which helps Chinese education to enter a new stage.Online teaching is gradually changing the teaching process in China, which will be a major challenge for teachers who have been practicing traditional teaching methods.At the same time, problems such as weak interactivity and disconnection between "teaching" and "learning" also enable relevant scholars to think deeply about improving the quality of online teaching of Chinese as a foreign language.In view of the current implementation status and existing problems of online teaching of Chinese education, the author integrates various teaching resources, and puts forward targeted suggestions and paths, in order to improve the quality of online teaching of Chinese education and make the foreign Chinese major develop in a more positive direction.
Research on the mixed teaching model of college English under the new media

Under the new media environment, college English is facing a new teaching reform in the process of teaching.Making good use of new media can effectively exert the advantages of the mixed teaching mode, and help students improve their learning ability and comprehensive quality in an all-round way.Based on the background of new media, this paper studies the mixed teaching of college English, and analyzes the teaching approaches from the aspects of integrating teaching models and building new teacher-student relationships.
Design and Implementation of Android Barcode Recognition Scheme

With the popularization of intelligent devices, many application scenarios now obtain corresponding services by scanning barcode.At present, the recognition success rate of some scanning code schemes is low in fuzzy, dark light, long-distance and other environments.By using the barcode and QR code parsing capabilities provided by Huawei's Scan Kit, the APP can realize long-distance scanning and small code amplification scanning, improve the success rate of code scanning in complex scenes such as reflection, dark light, dirt, blur, and cylinder, and thus improve user satisfaction.
An analysis of foreign direct investment and economic growth nexus: Does domestic investment matters

This study investigates the impact of foreign direct investment and domestic investment on economic growth in Nigeria between 1981 and 2018.The properties of time series variables were examined through the application of Augmented Dickey-Fuller and Philip Perron techniques in testing the unit root property of the series and autoregressive distributed lag model approach applied in testing the long-and-short run relationships.The results of unit root results suggested that there is a mixture of I(0) and I(1) variables in the model.The results of ARDL modelling revealed that foreign investment has a positive impact on economic growth in the long and short run, domestic investment has a negative impact on economic growth in the long and short-run while trade openness impacted positively on economic growth.It is the recommendation of this study that, concerted efforts should be made by the government, policymakers and relevant authorities to formulate policies that aim at creating a conducive investment environment so that Nigerians and non-Nigerian investors alike will be encouraged to increase their propensity to invest in the country.Policymakers should also take a step up in ensuring foreign exchange stability and improve trade openness, in order to achieve meaningful economic growth.
Pengaruh Media Kuis Interaktif Menggunakan Aplikasi Kahoot Terhadap Hasil Belajar Peserta Didik Pada Materi Sistem Ekskresi Manusia

The development of information technology is increasing rapidly in the era of globalization, making educators required to adapt to technological developments, one of which is by learning interactive quizzes. This study aims to determine the interactive quiz media using the Kahoot application on student learning outcomes on the material of the human excretory system in Class XI MIPA SMAN 10 Tasikmalaya Academic Year 2021/2022. The research method uses a quasi-experimental research design with Nonequivalent Pretest-Posttest Control Group Design. The population in this study were all class XI MIPA SMAN 10 Tasikmalaya, as many as four classes totalling 141 students. The sampling technique used is purposive sampling, with the sample used class XI MIPA 2 as the experimental class and XI MIPA 3 as the control class with several students 71 people. The instrument used in this study was to measure student learning outcomes through a multiple-choice test of 30 questions referring to indicators C1, C2, C3, C4, and C5. The data analysis technique used is the independent t-test. The results showed a significant effect of the interactive quiz method using the Kahoot application on student learning outcomes with a significance value (of 0.002). These positive results can be used as a reference for educators to use Kahoot in supporting teaching and learning activities
ANALISIS PERENCANAAN GEDUNG PERPUSTAKAAN STAIN PAREPARE DENGAN MENGGUNAKAN MODIFIKASI METODE FLAT SLAB

The Analysis of Library Building Plan of Sekolah Tinggi Agama Islam Parepare by using A Modication of Flat Slab Method.&#x0D; The research aimed to know the dimensions of main structure, create construction structure using at slab based on ETABS Program that was analyzed according to SNI 2847:2013. Counting the reinforcement needed by main structure and create a nal design based on the modication result of Library Building as well as analyze the mass participation in earthquake areas.&#x0D; The analysis result showed that the thickness of the whole flat floor was 22 cm and drop panel was 120 cm x 120 cm with 12 cm thick, column dimension K1 for Floor 1 with 70/70, K1 floor 2-4 with 60/60, K1 floor 5 with 50/50, column 2 floor 1-5 with 50/35 and K3 floor 1-5 with 30 x 30, the thickness of shear wall was 30 cm. The reinforcement of flat slab produced reinforcement D16 mm, main column reinforcement K1 22D22, column K2 9D22, column K8D12. Final Plan of library building modification based on technical drawing form consisted of the Picture of structure plan, pieces, and detail of the reinforcement. In earthquake area with Category C, it was showed by mass partition control on mode 4 and 5 had achieved 93% and 94% and was able to restrain the load of earthquake plan.