Reviewerly/exHarmony huggingface dataset:
Experiment ended

The article "Torturing data to predict Bitcoin prices: A book excerpt" discusses the futility of trying to predict Bitcoin prices using empirical models.
Algoritma Dijkstra dan Algoritma Greedy Untuk Optimasi Rute Pengiriman Barang Pada Kantor Pos Gorontalo

Delivery of goods is one of the services used in the online buying and selling process at the Post Office company. Companies need a performance in the distribution of goods that is more time-consuming and cost-efficient, so it requires determination in selecting the shortest path. Many algorithms have been used to help find the shortest path for distributing goods, including the Dijkstra Algorithm and the Greedy Algorithm. In this study, the application of the two algorithms is to find routes between sub-districts that are the destination of goods delivery, then compare to see which algorithm is more optimal. Based on the calculation results, the Dijkstra Algorithm can provide a more optimal solution with a total mileage obtained of 304.90 Km, while the Greedy Algorithm produces a total distance of 441.60 Km.
Experiment ended

It is important to be mindful of the language we use, and to avoid using language that is offensive or discriminatory.
AI-Powered Personalized Mobile Education for New Zealand Students

This research endeavors to develop and assess a customized mobile education system for students in New Zealand, employing the principles of artificial intelligence (AI) and user-centered design (UCD). The objective is to overcome the limited personalization observed in current mobile education solutions by offering tailored learning content and recommendations based on individual preferences, thereby accommodating the diverse requirements of students. A mixed-methods approach will be utilized, encompassing user research, persona development, user journey mapping, design, development, and evaluation. Participants, including New Zealand students, parents, and teachers, will actively engage in multiple research phases to ensure the effective implementation of user-centered design principles. By showcasing the potential of AI-driven personalization in enhancing the learning experience for students, this study contributes to the growing utilization of AI algorithms and systems within the educational context.
A Multi-modal Fusion-based Sentiment Analysis Model for Short Videos

Abstract It is in this information era, leading to the majority of users increasingly like to publish their views online and express their feelings through the form of text pictures and videos, such as Facebook, Instagram, and other social platforms used by a large number of users every day to record their daily life, and through these recorded documents can well reflect the mood of the time. By analyzing these data, researchers can gain insight into users' favorite preferences, and according to their preferences, they can provide precise services to users, thus improving their satisfaction. The traditional approach is limited to linear combinations of sentiment words and rough sentiment classification, to solve the problem of machine learning classification methods. In the deep learning-based image emotion classification method, let the network achieves the method of extracting the significant features of the image by combining the underlying features to form a higher-level feature representation with a more abstract nature. For short videos with complex semantic information and single modal video sentiment analysis often cannot fully express the sentiment tendency of the video. In this paper, we propose a short video sentiment analysis method that incorporates every modal. In the text modality, the text modality data are firstly preprocessed by using the word separation tool, then the word vector corresponding to the text is obtained by using the word embedding tool, and the obtained word vector is used to extract the sentiment features of the text information by using the LSTM network with attention mechanism, and finally the sentiment probability of the text information on the three categories of positive, neutral and negative is calculated by the classifier. On the short video modality, the video feature extraction method of 3D residual dense network is used to establish the video sentiment classification model, and the classifier is used to determine the sentiment probability of short video information. The experiments on several datasets validate the effective performance of our model.
Inverse inference based on interpretable constrained solutions of fuzzy relational equations with extended max-min composition

Abstract In this paper, the method of inverse inference based on interpretable constrained solutions of the system of fuzzy relation equations (SFRE) with extended max-min composition is developed. The properties of interval and constrained solutions of the extended maxmin SFRE with granular and relational structure of the solution set are investigated. The extended max-min SFRE can be represented in the form of the max-min subsystems aggregated using the min operator or dual min-max subsystems aggregated using the max operator. When decomposing the max-min and dual min-max subsystems, the set of interval solutions can be decomposed into the lower and upper subsets bounded by the same aggregating solutions. Each lower (upper) subset is defined by the unique greatest (least) or aggregating solution and the set of minimal (maximal) solutions. Following (Bartl et al. 2012), to avoid excessive granularity and ensure interpretability of the interval solutions when restoring causes through observed effects, the constraints in the form of linguistic modifiers are imposed on the measures of causes significances. Given constraints, solving the SFRE is reduced to finding unknown relations which take the values 1(0) if the modifier is present (absent) in the linguistic description of the interval solution. To completely cover the interval solution, the notion of the complete crisp solution is introduced. Then, the reduced set of constrained solutions can be decomposed into the lower and upper subsets of complete crisp solutions bounded by the constrained aggregating solutions. The search for the set of constrained solutions amounts to solving the discrete optimization problem. The properties of the set of interval (constrained) solutions allow parallelizing the genetic search for the lower and upper subsets for each aggregating solution. The developed method makes it possible to simplify the search for the solution set based on the constraints on accuracy (interpretability) of the applied problem.
A Study of Pre-service Early Childhood Teachers’ Post-practicum Experiences

The purpose of this study was to examine the post-practice experiences and thoughts of preservice teachers who have completed the post-practice course, thereby providing practical and relevant foundational information for effective post-practice operations.Descriptive questionnaires were collected from 33 seniors majoring in early childhood education to scrutinize their post-practice experiences.The outcomes of the qualitative analysis were revealed to be as follows: First, postpractice experiences have been confirmed to improve understanding and support skills for children, enhance teaching skills, and to develop desirable teacher's qualifications and attitudes.Second, for improving post-practice training, expand the period of post-practice work, continuous participation and choosing a post-practice period according to their needs individually, as well as strengthening the department's management of post-practice operation (the assignment of classes and instructors, the content of training)were proposed.The information and conclusions that were drawn from this study that is about post-practice periods, post-practice experience, post-practice operation management would be useful for introducing and operating post-practice in early childhood teacher training institutions.
A Study on the Content of Online Reviews and the Sales Performance: Based on the Tweets for Book Reviews

Online review for products by users is an significant factor which could examine the sales performance of products.Prior researches focus on the volume of online reviews, valence, emotion, and social dimentions.Recently other theoretical dimensions are proposed for content analysis, such as the engagement and uniqueness seeking of reviewers and users.This study classified the content of the review into idea-sharing and information-sharing.Also, I analyzed the differential affect of thew two types on product performance.The idea-sharing type is to elicit elaborated information process to reviewers in the writing process.On the stage of the empirical analysis, to answer these research questions, I gather the sales data and users' reviews on Twitter of top 100 books in online bookstores.The data were collected on a daily level from January 2022 to March 2022.The data include product characteristics, brand performance of book authors, content of reviews, and Twitter user's characteristics.Based on the estimation results, idea-sharing reviews have more impact on the product performance than information-sharing reviews.In addition, the carryover effect of the review effect is significant, indicating that reviews have a significant impact on sales performance over a long-term.This research explain the implications for online retailers, product manufacturers, and reviewers.It suggests that online retailers need to promote more contributions and engagements to users who can more contribute idea-sharing reviews.
A Study on the Development of Online Assessment Items for Mathematics Learning Process Diagnosis

This study was conducted to overcome the limitations of existing mathematics learning diagnosis tools from a 'process-centered' perspective, develop online evaluation items for mathematics learning process diagnosis, and derive implications.The development of diagnostic evaluation items was set as a unit of 'anti-proportion' in the first year of middle school.The reason is that this unit was moved upward to middle school in the revised curriculum and corresponds to the 'function' that is emphasized in school mathematics.In order to develop the items, the researcher modified some of the mathematical evaluation data in consideration of the learning hierarchy of previous studies to fit the research purpose of 'learning process diagnosis', and field application and expert review opinions were used to enable implementation in the online evaluation and scoring platform.After convergence of expert review opinions, the final item was developed.In this study, ideas for developing online assessment items for diagnosing the learning process in mathematics and examples of draft items were proposed, and the developed items were supplemented so that they could be implemented on an online assessment and scoring platform.When developing a platform for diagnosing the learning process, it is necessary to discuss in depth the arrangement of questions according to the hierarchy, the composition of the screen suitable for learners, the method of writing answers on the online test paper, and the method of scoring and providing feedback.
The Effect of University's Institutional Factors on Industry-University Collaborative Research

Universities are introducing and utilizing several systems to respond to an environment in which the importance of industry-university cooperation is increasing.The purpose of this study is to analyze the combined effect of institutional factors on industry-university collaborative research.Through a review of the existing literature, we presented a conceptual model in which university institutional factors combinatorially affect industry-university collaborative research.Major institutional factors of universities to promote industry-university cooperation include new professors with industry experience, industry-university cooperation concentration professors, and human resources for industryuniversity linkages.Six-year data from 2016 to 2021 on institutional factors and industry-university collaborative research were obtained through Higher Education in Korea.Fuzzy set qualitative comparative analysis (fsQCA) was used for data analysis.Seven solutions describing industryuniversity collaborative research were derived through fsQCA.In the seven solutions, the number of new professors with industry experience, number of non-tenure industry-university cooperation concentration professors, and number of personnel in charge of technology transfer and commercialization served as key conditions.As a result, it is evaluated that the key factors influencing industry-university collaborative research are the number of new professors with industry experience, the number of non-tenure industry-university cooperation concentration professors, and the number of personnel in charge of technology transfer and commercialization.
Stakeholder Management Practices and Customer Satisfaction in the Public Sector in Rwanda: A Case of Rwanda Water and Sanitation Corporation

Stakeholder management plays an important role in organizational management. The study examined the influence of stakeholder management practices on customer satisfaction in the public sector in Rwanda. The specific objectives included to establish the influence of stakeholder mapping on customer satisfaction, to examine the influence of defensive stakeholder management practice on customer satisfaction and lastly to ascertain the influence of offensive stakeholder management practice on customer satisfaction in public sector in Rwanda case of WASAC.&nbsp; This study employed a case study and descriptive research design to explore issues of stakeholder management and how it influences customer satisfaction. The population size was 172,184 people constituting of external customers and internal customers of WASAC mainly employees, heads of directorates and board of Directors. A sample size of 399 respondents was computed using Yamane’s formula though 324 respondents are the ones who returned questionnaires. The sampling technique used in identifying respondents was stratified, purposive and simple random sampling. Data was collected through interviews and structured questionnaires and analysed using IBM SPSS Version 22. The data was presented in tables. Descriptive statistics findings did indicate 55%-100% of respondents in support of implementation of stakeholder mapping and defensive stakeholder management practices at WASAC. However, 20% and below supported the implementation of offensive stakeholder management practice at WASAC. Pearson correlation coefficient was found to be 0.560, 0.685 and -0.620 for stakeholder mapping, defensive stakeholder management practice and offensive stakeholder management practice respectively. Additionally, beta coefficients were 0.132, 0.235 and -0.211 with corresponding p values of 0.038, 0.001 and 0.024. The study therefore concluded that stakeholder mapping and defensive stakeholder management practices positively and significantly influence customer satisfaction while offensive stakeholder management practice negatively and significantly influence customer satisfaction. The study recommended managers of WASAC to conduct stakeholder analysis to identify all stakeholders, their characteristics and how they relate with the company, companies to adopt transparency and fairness in decision making process involving selection and recruitment, and lastly democracy and inclusivity should be practiced by companies and avoid any form of corrupt deals and practices for better performance and customer satisfaction. Keywords: Stakeholder management practices, customer satisfaction, public sector, stakeholder mapping, defensive stakeholder management, offensive stakeholder management
Optimalisasi Pengelolaan BMN Dalam Meningkatkan Kualitas Pelayanan Pada UIN Sumatera Utara Medan

The management of State-Owned Goods is highly necessary with the aim of organizing and managing state-owned goods within the university environment to achieve the implementation and good management of state-owned goods in accordance with government regulations, thus achieving the optimization of State-Owned Goods management in the university environment. This study employs a qualitative descriptive approach. The object of the study is the management of State-Owned Goods with the subjects being the university community, namely students and State-Owned Goods managers. Data collection techniques include observation, interviews, and documentation, with data analysis techniques in the form of reduction and analysis. The results of this study indicate that the optimization of State-Owned Goods management in improving campus services at the State Islamic University of North Sumatra is still not optimal. The large number of facilities that are slow to maintain and repair make students feel uncomfortable in the campus environment. Although the management of state-owned goods has implemented regulations related to State-Owned Goods management, it has not yet had a significant impact on the campus community, especially for students.&#x0D;
Analisa System Usability Scale (SUS) pada Antarmuka Sistem Informasi Belajar Islam Berbasis Web

One way to stem the notion of radicalism is to use the internet as a learning resource in the form of website creation. The Islamic Learning Information System or abbreviated as SIBI, is a website that provides various kinds of content to learn about Islam. Before developing the website, it is necessary to design an interface so that the website follows the expected target user, especially related to its usability. This study aims to measure the usability of the interface design on the Islamic Learning Information System website using the System Usability Scale (SUS). This study takes data from a survey of lecturers and students at Dinamika University Surabaya and then processes using SUS. The results of the study indicate that the SIBI interface design is quite acceptable to users, but some things still need to be improved further.
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning

Self-supervised learning (SSL) of speech has shown impressive results in speech-related tasks, particularly in automatic speech recognition (ASR). While most methods employ the output of intermediate layers of the SSL model as real-valued features for downstream tasks, there is potential in exploring alternative approaches that use discretized token sequences. This approach offers benefits such as lower storage requirements and the ability to apply techniques from natural language processing. In this paper, we propose a new protocol that utilizes discretized token sequences in ASR tasks, which includes de-duplication and sub-word modeling to enhance the input sequence. It reduces computational cost by decreasing the length of the sequence. Our experiments on the LibriSpeech dataset demonstrate that our proposed protocol performs competitively with conventional ASR systems using continuous input features, while reducing computational and storage costs.
Methods of organizing library scientific research

This article provides detailed information about the scientific methodology of librarianship, general scientific and special scientific methods of librarianship, methods of organizing organizational structures for research in the field of librarianship.
Writing user personas with Large Language Models: Testing phase 6 of a Thematic Analysis of semi-structured interviews

The goal of this paper is establishing if we can satisfactorily perform a Thematic Analysis (TA) of semi-structured interviews using a Large Language Model (more precisely GPT3.5-Turbo). Building on previous work by the author, which established an embryonal process for conducting a TA with the model, this paper will perform a further analysis and then cover the last phase of a TA (phase 6), which entails the writing up of the result. This phase was not covered by the previous work. In particular, the focus will be on using the results of a TA done with the LLM on a dataset of user interviews, for writing user personas, with the model building on the TA to produce the personas narratives. User personas are models of real users, usually built from a data analysis like interviews with a sample of users. User personas are tools often used in User Centered Design processes. The paper shows that the model can build basic user personas with an acceptable quality deriving them from themes, and that the model can serve for the generation of ideas for user personas.
Improving Learning Outcomes in the Use of Capital Letters Through Story Pictures for Grade Two Elementary Schools

The purpose of this study was to improve students' ability to use capital letters in writing short texts in class II of Elementary School 52 Bengkulu City. The type of research used is Classroom Action Research (PTK) which is carried out in two cycles. The subjects in this study were class II students at SDN 52 Bengkulu City, namely 26 students consisting of 12 students and 14 female students. The object under study is the increase in the ability to use capital letters. Data collection techniques in the form of tests and non-tests. The research instrument uses a test to measure students' ability to use capital letters. Observation to assess the teaching and learning activities carried out. The results of the study in the first cycle showed that students' ability to use capital letters was still low. The results of the observation sheet on the implementation of lesson plans in cycle I obtained low results. The results of the study in cycle II the ability to use capital letters improved to be good. In cycle II the observation sheet for the implementation of lesson plans obtained good results. These results have reached the criteria of success. Thus, this research has been terminated.
HUBUNGAN KEMAMPUAN MEMBACA APRESIATIF DENGAN KEMAMPUAN MENULIS TEKS CERPEN SISWA KELAS VII SMP

This research aims to describe the significant relationship between appreciative reading skills and the ability to write short stories for seventh grade students of junior high school. This type of research is quantitative research with correlational methods. The data obtained in this study were in the form of scores on the results of measurements on appreciative reading skills and scores on the results of measurements on students' ability to write short story texts. The populations in this study were all class VII students of SMP Negeri 25 Padang, totaling 254 students. The sampling technique used is a simple random technique. In this study, class VII C was chosen as the research sample because this class is a normal and homogeneous class. The numbers of samples in this study were 30 students. The data in this study were analyzed using a simple correlation test intended to test the research hypothesis. Based on the results of the study, it can be concluded that there is a significant relationship between appreciative reading skills and the ability to write short stories for class VII students of SMP Negeri 25 Padang. This can be seen from the results of tcount&gt;ttable or 5.49&gt;1.70.