Reviewerly/exHarmony huggingface dataset:
Pengaruh Jumlah Pendaftar terhadap Jumlah Mahasiswa Baru di Fakultas Agama Islam Universitas Ibn Khaldun Bogor

&#x0D; One of the essential stages in the world of education is Higher Education. UIKA Bogor is one of the private universities in Bogor City. FAI is the largest faculty in terms of the number of students at UIKA Bogor. The number of applicants is an important element in determining the size of the number of new students admitted. The purpose of this research is to find out how real the effect of the number of applicants is on the number of new students at FAI-UIKA Bogor based on data 2014/2015 to 2020/2021. The method used is simple linear regression. By using the Minitab 19 software, the results showed that the number of applicants had a significant effect on the number of new students. Every increase of 1 registrant will increase the number of new students by 0.4476. The variable number of registrants can explain 83.27% of the data diversity.&#x0D; Keywords: FAI-UIKA Bogor, number of applicants, number of new students
Efektivitas LKPD Berbasis Inkuiri untuk Meningkatkan Kemampuan Komunikasi IPA Peserta Didik

This study aims to test the effectiveness of inquiry-based worksheets to improve students' natural science communication skills. The research design used in this study was a quasi-experimental. The population of this study was fourth grade students at a private school for the 2022/2023 school year. Of the two existing classes, one class was selected, namely class IV A as the sample. Data collection techniques in this study were carried out by interviews, tests, and observations. The research instruments used were (1) research instruments including learning implementation plans, (2) data collection instruments including test instruments in the form of pre-test and post-test evaluation question sheets. from the gain index of science communication skills obtained in class IV A, which is 0.79 or 79.49%. Furthermore, the N-Gain Score which is 0.79 is in the high category because the N-Gain Score is 0.79 &gt; 0.7. So the increase in the science communication skills of students who use inquiry-based worksheets is in the high category, meaning that the science communication skills of students who use inquiry-based worksheets experience a significant increase compared to before learning.&#x0D; Keywords: Inquiry, LKPD Effectiveness, and Communication Skills
How to compare different pedagogical systems with each other using the object-hierarchical method of structuring and dosing information

The subject of this study was the existing pedagogical systems from the point of view of the object-hierarchical structure of their typical training sessions, namely their following parameters: 1) how many branches of the hierarchical scheme does the lesson contain; 2) how many steps of the hierarchy does each branch have; 3) how many objects are contained at each step of the hierarchy; 4) how many known objects reveal the essence of each unknown object; 5) do the lower steps of the hierarchical scheme of the lesson contain such objects that are not disclosed due to 3-5 known ones; 6) at which stages of the lesson objects are represented in static, and at which – in motion. The present work is a theoretical study, which consists in studying the possibility of using the method of object-hierarchical modeling for a more accurate description of existing learning systems, which would make it possible to introduce quantitative certainty into pedagogy and psychology. This approach is based on the method of modeling the information structure of the lesson developed by the author and experimental data presented by him in previous works on the influence of structuring and dosing of educational material on the attention and discipline of students, as well as on their emotional state. It is concluded that some training systems that have gained a reputation for being effective are consistent with the data obtained (for example, classes on the methods of A.-Ya. Komensky, S. Frenet and V.F. Shatalov). It is also concluded that the main reason for the rejection of the widespread introduction of these and some other methods (for example, "immersion" and programmed learning) is the quantitative uncertainty of pedagogical recommendations, which, in turn, can be corrected by applying an object-hierarchical description of the structure of the lesson.
Pengaruh Media Buku Berjendela terhadap Kemampuan Literasi Sains Peserta Didik Kelas V UPT SDN 064964 Medan Timur 

This reseach was conducted because the results of our obsevations saw that students could not understand the process of food travel in the human body as well as students who did not have an overview of the human digestive organs. This study aims to improve student learning outcomes on the material of the human digestive organs by using windowed book media so that students better understand how the process of food travels from the mouth to the esophagus. This study uses a quantitative approach and has various research methods, one of the research methods is the experimental method. The experimental method is able to bring up an experimental problem that can make students think critically and be able to develop scientific literacy.The results of this study indicate that the Window Book media on the function of the human digestive organs and their relationship to food and health meets valid and practical criteria, with an average score of 80% LKPD language validation or can be said to be good, the average expert validation results media with a score of 83% or very good and for the assessment of the post test score taken from the average value of 88.3 compared to the pree test of 31.25. Then the Windowed Book Media has met the valid criteria and can be used by teachers. Based on the research results obtained, the suggestions that can be given are: 1). For Teachers, the delivery of learning material is complemented by using interesting media, namely using Window Book learning media. 2). For schools, it can encourage teachers to be more creative in creating or providing learning media that are appropriate and support the learning process. One alternative learning media that can be used is the Window Book learning media. 3). For Researchers, Realizing that the research and development of this Window Book media are not yet perfect, other development research should be carried out in the future as a complement to this research and become a new product indevelopment research on natural science subjects and other subjects&#x0D; Keywords: Influence, Windowed Book, Media
The fuzzy results on SA-algebra

In this paper, we apply the idea of fuzzy SA-subalgebras and fuzzy SA-ideal of SA-algebras and demonstration their generalizations. Further, we discuss the fuzzy SA-subalgebras and fuzzy SA-ideals and their level cuts, relations among them, several theorems, properties are onseted and demonstrated.
Science, Part III: Further Developments in the Concept of Science

In this third part of the trilogy about “science,” Section 6 presents further developments in conceptualizing science. It has been claimed that science has recently changed in profound ways, and the concept of “epochal breaks” has been used about these developments. The article presents and discusses many of these new concepts, including “triple helix,” “post-academic science,” “mode 2 research”, “technoscience,” “postmodern science,” “citizen science,” and the little older “big science.” It is hard to form a clear conclusion about these developments, but most of these conceptions seem based on the increasing commercialization of science. In a way, this is connected to the pragmatic philosophy of science but seems to have failed to address how science can continue to penetrate ever deeper to understand the world and not just reflect the more immediate social and commercial interests. Section 7 is the general conclusion of the trilogy. It states that the many pieces of fragmented knowledge about science from many different fields and perspectives must work together in a much more integrated way. Concerning information science, knowledge organization, and related fields, these fields need to understand themselves as a member of the science studies in its broad meaning. All activities concerning science must realize the socio-cultural and paradigmatic conflicts involved in such activities, from producing over mediating (retrieving, publishing, digitalizing, curating, translating, organizing, teaching, etc.) to use.
Medical applications of the new-transform

Solving differential equations by integral transformations is a highly general method. Using these powerful methods, mainly intractable problems may be conquered relatively easily. Because of the difficulty of solving ordinary differential equations, this study employs a novel integral transformation called the h-transform Related ideas, characteristics, and methods for evaluating significance are also elaborated upon. Due to the precision of the necessary transformations, the study of differential equations has inspired a new way of thinking called HA-fuzzy transformation, which is used to solve, identify, and classify impacted cells. Check whether the proposed method performs compared to other translations, and discover what the results reveal about it.
Role of Information Technology in Effective Knowledge Management in 21st Century Organisations: An Empirical Study

In the context of the 21st-century dynamic business environment, characterised by constant innovation and technological advancements, effective knowledge management has emerged as a critical driver of organisational success. Given the ongoing evolution of technology, organisations must effectively navigate the intersection of knowledge management and technology to maintain their competitive edge. Knowledge management, as a strategic resource that encompasses human, structural, and technological elements, holds significant importance for contemporary organisations. By seamlessly integrating knowledge into robust technological systems, organisations enhance their capabilities and adaptability. This empirical study aims to explore the multifaceted relationship between Information Technology (IT) and Knowledge Management, shedding light on how modern organisations utilise technology to support the acquisition, dissemination, and utilisation of knowledge assets. As the digital age continues to progress, understanding how IT influences and enhances knowledge management practices becomes increasingly vital for organisations striving to remain competitive, foster innovation, and thrive in today's information-driven world. A sample of 233 respondents was collected from people working in different organizations. Four factors that determine the Role of Information Technology in Effective Knowledge Management in 21st Century Organisations are Collaboration and Communication, Easy Search and Retrievals, Knowledge Capture &amp; Storage, and E-learning and Training.
SENTIMENT ANALYSIS ON THE TWITTER PSSI PERFORMANCE USING TEXT MINING WITH THE NAÏVE BAYES ALGORITHM

Social media has developed rapidly today, so social media is no longer just a place to interact and socialize but also to express opinions or criticize a particular party or institution. After the incident at the Malang Kanjuruhan stadium in October 2022, many netizens criticized the performance of PSSI as Indonesia's number one organization that oversees football competitions in Indonesia. For this reason, sentiment analysis was carried out on the official PSSI account on Twitter to assess the performance of PSSI by grouping them as Satisfied and Unsatisfied using the Naïve Bayes Classifier. Sentiment analysis took tweets from the official PSSI account and as many as 1000 comments to be used as a dataset. Then preprocessing is carried out in the GATA Framework using the Annotation Removal, Remove Hashtag, Transformation Remove URL, Regexp, Indonesian Steaming, and Indonesian Stopword Removal methods. The results obtained were 82.82% for accuracy, 78.69% for precision, 90.33% for recall, and 0.866 for AUC. With these results, the value obtained is at a good classification level.
Can We Use Speaker Embeddings On Spontaneous Speech Obtained From Medical Conversations To Predict Intelligibility?

The automatic prediction of speech intelligibility is a recurrent problem in the context of pathological speech. Despite recent developments, these systems are normally applied to specific speech tasks recorded in clean conditions that do not necessarily reflect a healthcare environment. In the present paper, we intend to test the reliability of an intelligibility predictor on data obtained in clinical conditions, in the specific case of head and neck cancer. In order to do so, we present a system based on speaker embeddings trained on a multi-task methodology to simultaneous predict speech intelligibility and speech disorder severity. The results obtained on the different evaluation tasks display correlations as high as 0.891 on a hospital patient set, showing robustness to the type of speech material used in these automatic assessments. Moreover, the usage of spontaneous speech during the evaluation shed light on an understudied, but with more ecological validity, type of speech material which displayed promising results. The reliability displayed across the different tasks suggests a direct deployment of the developed systems in a hospital setting.
Interactive polar diagrams for model comparison

Evaluating the performance of multiple complex models, such as those found in biology, medicine, climatology, and machine learning, using conventional approaches is often challenging when using various evaluation metrics simultaneously. The traditional approach, which relies on presenting multi-model evaluation scores in the table, presents an obstacle when determining the similarities between the models and the order of performance. By combining statistics, information theory, and data visualization, juxtaposed Taylor and Mutual Information Diagrams permit users to track and summarize the performance of one model or a collection of different models. To uncover linear and nonlinear relationships between models, users may visualize one or both charts. Our library presents the first publicly available implementation of the Mutual Information Diagram and its new interactive capabilities, as well as the first publicly available implementation of an interactive Taylor Diagram. Extensions have been implemented so that both diagrams can display temporality, multimodality, and multivariate data sets, and feature one scalar model property such as uncertainty. Our library, named polar-diagrams, supports both continuous and categorical attributes. The library can be used to quickly and easily assess the performances of complex models, such as those found in machine learning, climate, or biomedical domains.
Abductive reasoning in modeling biological phenomena as complex systems

Introduction Abductive reasoning is a type of reasoning that is applied to generate causal explanations. Modeling for inquiry is an important practice in science and science education that involves constructing models as causal explanations for scientific phenomena. Thus, abductive reasoning is applied in modeling for inquiry. Biological phenomena are often best explained as complex systems, which means that their explanations ideally include causes and mechanisms on different organizational levels. In this study, we investigate the role of abductive reasoning in modeling for inquiry and its potential for explaining biological phenomena as complex systems. Methods Eighteen pre-service science teachers were randomly assigned to model one of two biological phenomena: either a person's reddened face, for which participants knew of explanations from their everyday lives, or a clownfish changing its sex, for which participants did not know about explanations. Using the think-aloud method, we examined the presence of abductive reasoning in participants' modeling processes. We also analyzed modeling processes in terms of participants' ability to model the phenomena as complex systems. Results All participants reasoned abductively when solving the modeling task. However, modeling processes differed depending on the phenomenon. For the reddened face, participants generated simple models that they were confident with. In contrast, for the clownfish, participants generated more complex models that they were insecure about. Extensive engagement in abductive reasoning alone did not lead to the generation of models that explained the phenomena as complex systems. Discussion Based on the findings, we conclude that engagement in abductive reasoning will not suffice to explain phenomena as complex systems. We suggest examining in future studies how abductive reasoning is combined with systems thinking skills to explain phenomena as complex systems in biological model construction.
The Impact of Application of Corona SDK Technology on Iban Proverbs Learning in Secondary School

Iban language is one of the ethnic subjects taught in Sarawak schools. This subject is managed from the primary level up to the higher education level. This subject's curriculum prioritises human capital development as well as good values for students. Proverbs in Iban Language is one of the curriculum areas in Iban Language. Proverbs are defined as figurative or allusive statements of sentences, clauses, or sentences that encompass the power of wisdom, moral elements, and indigenous practices that are arranged metaphorically, have a fixed form, and possess a pure value inherited from generation to generation (KSSM Bahasa Iban, 2015). The effectiveness of teaching and learning is influenced by the teacher's competence, which includes approaches (Daly, Liou &amp; Der-Martirosian, 2021), leadership (Shen et al., 2020) and content pedagogical knowledge (Gess-Newsome et al., 2019). Likewise, especially when teaching proverbs in the Iban language. Through the approach used in imparting knowledge to their students, educators also play an important role in producing an educated nation (Rahmatullah et al., 2022). As a result, educators must constantly improve themselves while also remaining aware of changing educational technology. Keywords: Corona SDK Technology, Teaching and Learning, Iban Language Proverbs
Classification of Flow-based Network Applications using Fuzzy Logic

Abstract Ever since the boom of social media, the internet has drastically changed our lives. From social mediaplatforms, Industry 4.0, Big Data, Cloud Computing to Augmented and Virtual reality, the amountof data on the internet has increased on an unprecedented scale, and it is not going to decrease in theyears to come. This increasing amount of data puts a huge strain on today’s network infrastructure. Itis the need of the hour to keep the internet infrastructure up-to-date to tackle the upcoming challenges.Internet Network Traffic Classification is thus a new paradigm in which lightweight sophisticatedalgorithms are designed and tested on live networks. This problem has been focused a lot with thehelp of Machine and Deep learning tools. These models do provide a high accuracy of result, but canbecome complex problems depending upon the specific application. In this paper, a Fuzzy Logic basedLightweight Classification Architecture is proposed and implemented to successfully identify Audioand Video from other Network Traffic (NT) applications. A detailed elaboration of features extractedfrom a variety of applications is presented. Fuzzy logic is used to distinguish among the classes basedon human intuition based rules. To verify the proposed algorithm, flow-based network captures isused to identify whether the correct class of network traffic is predicted or not. The results obtainedfrom the Fuzzy logic is also compared with traditional Logistic regression and kNN based MachineLearning algorithms to showcase the superiority of Fuzzy logic.
Keyed Watermarks: A Fine-grained Watermark Generation for Apache Flink

Abstract Big Data Stream processing engines, exemplified by tools like Apache Flink, employ windowing techniques to manage unbounded streams of events. Aggregating relevant data within Windows is important for event-time windowing due to its impact on result accuracy. A pivotal role in this process is attributed to watermarks, unique timestamps signifying event progression in time. Nonetheless, the existing watermark generation method within Apache Flink, operating at the input stream level, exhibits a bias towards faster sub-streams, causing the omission of events from slower counterparts. Our analysis determined that Apache Flink's standard watermark generation approach results in an approximate 33% data loss when 50% of median-proximate keys experience delays. Furthermore, this loss exceeds 37% in cases where 50% of randomly selected keys encounter delays. In this paper, we introduce a pioneering approach termed keyed watermarks to address data loss concerns and enhance data processing precision to a minimum of 99% in most scenarios. Our strategy facilitates distinct progress monitoring by creating individualized watermarks for each logical sub-stream (key). Within our investigation, we delineate the essential architectural and API modifications requisite for integrating keyed watermarks while also highlighting our experience in navigating the expansion of Apache Flink's extensive codebase. Moreover, we conduct a comparative evaluation between the efficacy of our approach and the conventional watermark generation technique concerning the accuracy of event-time tracking, the latency of watermark processing, and the growth of Flink's maintained state.
Literary heritage of the 19–20 centuries: classification of raster images for intellectual analysis and thematic modeling of the corpus of handwritten texts

The article examines the current trends in working with digital forms of handwritten heritage on the history of Russian literature of the second half of the 19 — mid-20 century. The process of forming virtual archives is analyzed as a gradual accumulation of the “big date” of scientific research — an unrecognized information array of raster documents containing tens of thousands of digital forms of archival documents. New approaches to classifying raster images of handwritten documents for use in intelligent analysis systems, experimental methods of visualization of archival documents, as well as previously unused capabilities of the search engine are proposed. Much attention is paid to the architectonics of the manuscript: the transition from graphic elements of a raster image to semantic ones, which allows the use of data mining elements for an unrecognized data array.
Taking a “Deep” Look at Multimedia Streaming

Streaming multimedia content has become an integral part of our lives influencing the way we consume daily news, communicate with friends, family and in office, and entertain ourselves. Quality of multimedia content has been improving by leaps and bounds with advances in camera and other sensing technologies. In parallel, advances in multimedia display technologies have been equally amazing providing vast choice of affordable high-definition devices of a wide range of sizes. Quality of service (QoS) offered by Internet service providers has experienced impressive growth as well. All these factors have led to a huge surge on multimedia streaming sessions that need to be supported on the Internet. Advances in deep machine learning (ML) techniques have been successfully leveraged to manage the unprecedented usage of multimedia streaming. However, as the various factors influencing multimedia streaming continue to evolve, continuous research is needed to adopt new deep learning techniques for efficient multimedia streaming.