Reviewerly/exHarmony huggingface dataset:
Building Compressed Causal Models of the World

A given causal system can be represented in a variety of ways. How do agents determine which variables to include in their causal representations, and at what level of granularity? Using techniques from Bayesian networks, information theory, and decision theory, we develop a formal theory according to which causal representations reflect a trade-off between compression and informativeness, where the optimal trade-off depends on the decision-theoretic value of information for a given agent in a given context. This theory predicts that, all else being equal, agents prefer causal models that are as compressed as possible. When compression is associated with information loss, however, all else is not equal, and our theory predicts that agents will favor compressed models only when the information they sacrifice is not informative with respect to the agent’s anticipated decisions. We then show, across five studies reported here (N=1,964) and three studies reported in the supplemental materials (N=789), that participants’ preferences over causal models are in keeping with the predictions of our theory. Our theory offers a unification of different dimensions of causal evaluation identified within the philosophy of science (proportionality and stability), and contributes to a more general picture of human cognition according to which the capacity to create compressed (causal) representations plays a central role.
Analisis Perbandingan Sistem Pendukung Keputusan Pemilihan Media Sosial Sebagai Sarana Promosi Di Tembilahan

With the rapid development of technology at this time, internet services cannot be separated from everyday human activities. the many conveniences of using internet services make people involve internet services in doing business online using social media services. Business competition is also one that must be faced by creative economy actors. With competitors or competitors making similar products increasing, while products that are made are less well known to consumers, creative businesses cannot reach market segments effectively. Some of the social media that are most often used to carry out online buying and selling activities are: Facebook, Twitter, Instagram, WhatsApp, Tiktok, and others. The application of the Decision Support System uses the SAW and TOPSIS methods in selecting the best social media as a means of promotion, and choosing which method is most appropriate for determining social media as a means of promotion in Tembilahan. The SAW method is the most relevant in solving this case and the Facebook alternative is chosen as a good and effective social media to be used as a promotional medium.
Magnetic Graphene Oxide Conjugated with Polyamidoamine Dendrimer (MGO-PAMAM) as Heavy Metal Adsorbent: Bibliometric Analysis using Google Scholar Indexed VOSViewer

This study aims to analyses the scope of research related to magnetic graphene oxide conjugated with polyamidoamine dendrimer (MGO-PAMAM) material as an adsorbent for heavy metals using bibliometric evaluation and data mapping with VOSViewer software. MGO-PAMAM material research data was collected from the Google Scholar database with criteria in the form of MGO journals and keywords, dendrimers, polyamidoamine, PAMAM, synthesis, and adsorption in 2018–2023. Based on the search results, 175 relevant journal articles were found. The number of articles has fluctuated from 2018 to 2023. This is due to the COVID-19 pandemic that is happening globally. This study can provide information on the pattern of distribution of journal articles and the quality of research developments related to polyamidoamine dendrimer material as an adsorbent for heavy metals in the last 5 years. This bibliometric analysis is expected to help researchers recognize research trends related to polyamidoamine dendrimer materials as heavy metal adsorbents globally and recommend future research prospects.
PENGARUH SISTEM INFORMASI SUMBER DAYA MANUSIA DAN KINERJA KARYAWAN TERHADAP EFEKTIVITAS ORGANISASI

An employee's work productivity and work efficiency are not in perfect harmony. This is due tothe sub-optimal implementation of personal information systems and the staff performance of Bhina Raharja Savings and Loan Cooperative. The purpose of this study is to investigate theim pactof HR information systems and employee performance on the organizational performance of Bhina Raharja employees.&#x0D; Thetypeofre searchis descriptive and very fiable through survey methods. The main population of this study was the employees of Bhina a The sampling technique used is saturated sampling technique. The data collection technique for this study was a questionnaire using a Likert scale. The analytical tool of this study is multiple linear regression analysis, coefficient determination analysis, which was previously conducted as a classical hypothesis test and then tested the hypothesis.&#x0D; The results show edthat the person information system and personnel performance hada positive and significante ffecton organizational efficiency both partially and simultan eously.&#x0D;
THE IMPORTANCE OF CONTINUING EDUCATION IN TRAINING HIGHLY QUALIFIED TECHNOLOGICAL EDUCATION TEACHERS

This article serves to increase the effectiveness of continuous education in the training of highly qualified teachers of technological education in pedagogical institutions of higher education.
Perancangan Cerita Bergambar Legenda Objek Wisata Goa Putri Menggunakan Gaya Paper Cut Digital

Books are one of the media that provide various information and knowledge on each page. Picture storybooks are among the most popular media for children because they contain interesting illustrations. Most regions in Indonesia have folklores or legends that contain strong local cultural elements, one of which is the legend of Goa Putri. At this time the legend of Goa Putri is conveyed through the signboard in front of the entrance to the Goa Putri Destination which has faded due to weather factors. In addition, the legend of Goa Putri is still conveyed orally by parents to their children from generation to generation without any supporting media. So the need for visual communication media to convey the legend of Goa Putri in the form of Pictures Book as a medium of information that can increase knowledge about existing local cultures. Therefore, this design is used to get a design concept and create a picture story based on the visualization of the legend of the Goa Putri the Paper Cut Digital style that applies Shading, silhouette style, Perception of depth and detailing. The method used in the design of the Glass Box method and for data analysis using the 5W + 1H method. In this design, in addition to the picture book as the main media, there are supporting media presented in the form of E-Book media, Paper Cut Shadow Box, Poster, Tote Bag, Pouch, Sticker, and Bookmark.
Integration of Mapbox and Google Maps to Support Additional Features in Geographic Information Systems

An integrated geographic information system is a geographic information system that aims to facilitate the creation and integration of mapping data so that researchers from various backgrounds can present their research results in the form of a map and can be combined on a larger scale. In making an integrated geographic information system, the use of the maps box was chosen because the maps box is a tool for making mapping that is free of charge both in making mappings and displaying mapping results so; it can save costs because the number of accessors and mappings made will incur substantial costs if using a paid alternative. However, the Maps box has many shortcomings in terms of features, so we researched to integrate third-party applications to fulfill the features that need to be added in the maps box. To overcome the shortcomings of the map box, the researcher integrates the route feature of Google Maps, integrates the location details feature on Google Maps, and integrates Google Maps coordinate data via the Google Maps link, which can be stored in the system so that these features can be used in an integrated geographic information system. Integrating third-party applications can create an integrated geographic information system using a map box but can also have more features.
Pengaruh Tangibles, Reliability, Dan Responsiveness Terhadap Pembelajaran Online Pada Masa Pandemi Covid-19 (Studi Kasus Pada Mahasiswa/I Fakultas Ekonomi Dan Bisnis Universitas Muhammadiayah Metro)

ABSTRACT&#x0D; The current COVID-19 virus in Indonesia has an impact on the entire community. According to kompas, March 28, 2020, the impact of the COVID-19 virus occurred in various fields such as social, economic, tourism and education. Circular (SE) issued by the government on March 18, 2020, all indoor and outdoor activities in all sectors are temporarily postponed in order to reduce the spread of corona, especially in the education sector.&#x0D; This study aims (1) To determine whether Tangibles affect student satisfaction (2) To determine whether Reliability affects student satisfaction (3) To determine whether Responsiveness affects student satisfaction (4) To determine whether Tangibles, Reliability and Responsiveness together the same effect on student satisfaction. The survey method focuses on collecting data from respondents who have certain information, thus enabling researchers to solve problems. Data collection was carried out using a questionnaire or questionnaire instrument. The population in this study was taken based on the class of 2018 which amounted to 257 students. The criteria in this study were students majoring in Management and accounting in 2018.&#x0D; The results showed that (1) there was a positive influence of Tangibless on student satisfaction (2) there was a positive influence of Reliability on student satisfaction (3) there was a positive influence of Responsiveness on student satisfaction (4) there was a positive influence of Tangibless, Reliability and Responsiveness on customer satisfaction.&#x0D; Keywords: Tangibles, Reliability, Responsiveness and Customer Satisfaction
A COMPREHENSIVE STUDY ON BIG DATA FRAMEWORKS

With the advent of cloud computing technology, the generation of data from various sources has increased during the last few years. The current data processing technology must handle the enormous volumes of newly created data. Therefore, the studies in the literature have concentrated on big data, which has enormous volumes of almost unstructured data. Dealing with such data needs well-designed frameworks that fulfil developers’ needs and fit colourful purposes. Moreover, these frameworks can use for storing, processing, structuring, and analyzing data. The main problem facing cloud computing developers is selecting the most suitable framework for their applications. The literature includes many works on these frameworks. However, there is still a severe gap in providing comprehensive studies on this crucial area of research. Hence, this article presents a novel comprehensive comparison among the most popular frameworks for big data, such as Apache Hadoop, Apache Spark, Apache Flink, Apache Storm, and MongoDB. In addition, the main characteristics of each framework in terms of advantages and drawbacks are also deeply investigated in this article. Our research provides a comprehensive analysis of various metrics related to data processing, including data flow, computational model, overall performance, fault tolerance, scalability, interval processing, language support, latency, and processing speed. To our knowledge, no previous research has conducted a detailed study of all these characteristics simultaneously. Therefore, our study contributes significantly to the understanding of the factors that impact data processing and provides valuable insights for practitioners and researchers in the field
Impact of Smoking Behavior on Learning Achievement : A Case Study at PGRI Bandongan Junior High School Students

Academic restoration is the result of student learning obtained from learning activities in schools or colleges that look at cognitive aspects, and academic achievement is generally determined through measurement and assessment. Learning achievement is influenced by several factors, one of which is smoking behavior. The impact of cigarette smoke itself triggers the brain, which makes a person weak in thinking power. Early adolescent smoking will have a significant impact on teaching and learning activities if allowed to continue. This study aims to determine the impact of smoking behavior on student learning achievement. This research design uses quantitative research types with correlational designs, questionnaires, and report card values or cumulative achievement indices as data collection tools. Research variables include smoking behavior as a free variable and learning achievement as a bound variable. From the results of the study, it showed that there was no significant influence of smoking behavior on student learning achievement at SMP PGRI Bandongan. After achieving an R-squared value of 0.227, the researcher Therefore, the influence of smoking on student learning achievement at SMP PGRI Bandongan is 22.7%. In the simple linear regression test, it is known that F count = 49.560 with a significance rate of 0.224 &gt; 0.05, therefore there is no influence of the smoking behavior variable X on the learning achievement variable Y.
Spatiotemporal Edges for Arbitrarily Moving Video Classification in Protected and Sensitive Scenes

Classification of arbitrary moving objects including vehicles and human beings in a real environment (such as protected and sensitive areas) is challenging due to arbitrary deformation and directions caused by shaky camera and wind. This work aims at adopting a spatio-temporal approach for classifying arbitrarily moving objects. The intuition to propose the approach is that the behavior of the arbitrary moving objects caused by wind and shaky camera are inconsistent and unstable while for static objects, the behavior is consistent and stable. The proposed method segments foreground objects from background using the frame difference between median frame and individual frame. This step outputs several different foreground information. The method finds static and dynamic edges by subtracting Canny of foreground information from the Canny edges of respective input frames. The ratio of the number of static and dynamic edges of each frame is considered as features. The features are normalized to avoid the problems of imbalanced feature size and irrelevant features. For classification, the work uses 10-fold cross-validation to choose the number of training and testing samples and the random forest classifier is used for the final classification of frames with static objects and arbitrary movement objects. For evaluating the proposed method, we construct our own dataset, which contains video of static and arbitrarily moving objects caused by shaky camera and wind. The results on the video dataset show that the proposed method achieves the state-of-the-art performance (76% classification rate) which is 14% better than the best existing method.
Structural water self-organization in river ﬂow

Application of neural-network methods revealed relationships between hydrological and hydrochemical characteristics of water flow, suggesting structural self-organization of substances dissolved in water in the form of micro layering. In particular, the coefficient of correlation between the concentrations of such substances in some cases reaches its nearly maximal value (0.99), combining with the high weights of neural network edges. This can be supposed to be due to the mechanical and chemical interactions in river flow with the participation of Van der Waals forces, hydration, and sorption. Other factors, not taken into account, can also have their effect, in particular those responsible for the fluctuations of the parameters of order, determining the singular contributions to the dynamic characteristics of the non-linear system under consideration. Such can be the cyclic oscillations of the characteristics under control with an amplitude decreasing with a decrease in the intensity of the pollution/selfpurification processes in water medium and increasing with an increase in this intensity. The obtained information, in addition to its direct purpose as a means to study the nature and properties of fresh water, is a necessary condition for the effective control of water resource quality and water management activity.
Quantified self and subjectivity: Evaluation of digital self-tracking practices in the context of subjectification processes

Parallel to the widespread use of digitalization in all areas of life, monitoring and evaluation of various bodily functions and practices through digital technologies has also taken its place among daily life routines. With wearable/portable devices and smart phone applications, many bodily parameters and practices such as steps counts, calorie consumption, sleep tracking, stress level, habits and personal finance management, etc. are tracked, converted into quantitative data, analyzed, and those bodily functions and practices are re-structured on the basis of these data. Expressed in the description of the “Quantified Self”, this contemporary trend corresponds to the new forms of regulation of bodily practices in the digital society and is discussed in the relevant literature within the framework of various forms of subjectivity. The Foucauldian theoretical line considers self-tracking as a self-practice in the context of biopower as a normalization, control and surveillance activity that structures bodily practices around certain norms regarding health and aesthetics. Self-tracking practices are also discussed in the context of new-individualism culture, where self-transformation through self-knowledge and self-updating is the distinguishing feature, and performance subject as a “self-designer”, a success-oriented “self-entrepreneur” who transforms herself into a project. In this paper, firstly, these subjectivities will be evaluated in the context of self-tracking practices and current approaches as to what kind of subjectivity to which the “quantified self” corresponds will be discussed. Then, the thesis that the subject of the self-tracking practice can be understood in a more comprehensive way in the context of the notion of “neoliberal subjectivity”, which includes certain aspects of the subjectivities in question, will be discussed.
Instruction and Design of Culture on Teaching Chinese as a Foreign Language from the Perspective of IB Concept-based Curriculum

There are many problems in teaching Chinese as a foreign language, such as unclear identification of teaching content, unclear teaching objectives, unclear teaching objects, non-standard teaching difficulty and poor teaching effect.Based on the conceptbased instruction and design which is widely used in the International Baccalaureate curriculum as one of the six major approach to teaching, this paper will adopt the viewpoint of Mei Lichong (1994), which divided the culture teaching contents of TCFL into declarative and procedural knowledge to set up "concept, knowledge, skill" threedimensional structure of culture instruction and design of TCFL.It contains two substructures: the structure of knowledge: cultural concept, cultural theme, cultural knowledge, and the structure of process: cultural concept, cultural process, cultural strategy/skill.The concept-based instruction and design, proposing the KUD model, making the curriculum from two-dimensional to three-dimensional, will greatly promote the students' deep understanding, make students go from cultural crossing to cultural transcendence in crosscultural communication, and improve the discipline literacy in second language learning.
The algebra of conjugacy classes of the wreath product of a finite group with the symmetric group

For a finite group $G,$ we define the concept of $G$-partial permutation and use it to show that the structure coefficients of the center of the wreath product $G\wr \mathcal{S}_n$ algebra are polynomials in $n$ with non-negative integer coefficients. Our main tool is a combinatorial algebra which projects onto the center of the group $G\wr \mathcal{S}_n$ algebra for every $n.$ This generalizes the Ivanov and Kerov method to prove the polynomiality property for the structure coefficients of the center of the symmetric group algebra.
MEMBANGUN MULTIPLE INTELLIGENCES ANAK USIA DINI DALAM MERDEKA BELAJAR

The focus of this problem is due to curiosity to reveal the phenomena that have occurred so far in early childhood education, one of which is the misconception of early childhood education. The common misconception that early childhood is only concerned with reading, writing, arithmetic, calistung. misconception of Multiple Intelligence itself, the concept of independent learning becomes a solution for teachers in learning. the concept stated as independent play for children. The purpose of the study to determine the development of Multiple Intelligences in early childhood in independent learning, and to determine the role of independent learning in various game centers. The method used in this study uses qualitative research, using descriptive approach. The results of research in building Multiple Intelligences in independent learning in its application use the BCCT method. The results of the research on intelligence are divided into 3 categories, namely developing, medium and high, intelligence with a high score with a percentage of 16% namely Linguistic intelligence, and other intelligences in moderate scores after using the center method.
UPAYA MENINGKATKAN AKTIVITAS DAN HASIL BELAJAR PAI MELALUI TIPE STAD SISWA KELAS IV UPTD SD NEGERI 5 METRO UTARA TP. 2019/2020

The problem of this research is the low activity and student learning outcomes in PAI class IV subjects at SDN 5 Metro Utara. This study aims to improve student learning activities, teacher performance, and student learning outcomes through the STAD type cooperative learning model in the fourth grade PAI subjects at SDN 5 Metro Utara in the 2019/2020 academic year. This research was conducted in the form of Classroom Action Research (CAR). Data collection is in the form of teacher and student activity assessment sheets and learning evaluation sheets. Data collection techniques in the form of tests and non-tests were analyzed using qualitative and quantitative data. The results of the study indicate that in learning can increase student activity and learning outcomes. This can be seen from the percentage of teacher activity in the first cycle of 71.6% in the good category and in the second cycle the percentage of teacher activity is 81.5% in the very good category. While the percentage of student learning outcomes completeness in the first cycle is 71.43% and in the second cycle is 85.71% so that it has an increase of 14.28%.