Reviewerly/exHarmony huggingface dataset:
Factor Space: Cognitive Computation and Systems for Generalized Genes

The purpose is to generalize and expand the vector space to factor analysis, and then simplify the knowledge graph to the factor graph, focusing on the formal expression of concept, which is essentially an attempt to construct the mathematical foundation of the three categories of information, intelligence and data science & technology. The method is: first, it is clear that the vector space can only be used for mathematical analysis of quantitative real variables, and it should be generalized and extended to the qualitative causal analysis with the factor space, and that could be regarded as a special factor space; then, it is pointed out that the advantages and disadvantages of the knowledge graph, which should be simplified to the factor graph; finally, the formal expression of the factor genealogy focusing on concepts, it is essentially an attempt to construct the mathematical basis of the three major categories of science and technology of information, intelligence and data that that is different from material science and technology. The result is the discovery of the mathematics of factor as a meta-word, namely factor space. Its significance lies in: its mission is to provide the smart mathematical tools as cognitive computing system.
Analyzing Climate Change Policy Narratives with the Character-Role Narrative Framework

Understanding behavioral aspects of collective decision-making is an important challenge for eco-nomics, and narratives are a crucial group-based mechanism that influences human decision-making. This paper introduces the Character-Role Narrative Framework as a tool to systematically analyze narratives, and applies it to study US climate change policy on Twitter over the 2010-2021 period. We build on the idea of the so-called drama triangle that suggests, within the context of a topic, the essence of a narrative is captured by its characters in one of three essential roles: hero, villain, and victim. We show how this intuitive framework can be easily integrated into an empirical pipeline and scaled up to large text corpora using supervised machine learning. In our application to US climate change policy narratives, we find strong changes in the frequency of simple and complex character-role narratives over time. Using contagiousness, popularity, and sparking conversation as three distinct dimensions of virality, we show that narratives that are simple, feature human characters and emphasize villains tend to be more viral. Focusing on Donald Trump as an example of a populist leader, we demonstrate that populism is linked to a higher share of such simple, human, and villain-focused narratives.
Relation Extraction Model Based on Global Pointer and Potential Relation Embedding

Relationship extraction means automatically extracting the relationship triples from a large amount of unstructured text, which is an important subtask for building knowledge graphs (KG). However, a traditional method of extracting triples obtains many challenges, especially for the overlapping triples problem. In this paper, we propose a relation extraction model based on a global pointer network and potential relation embedding called GPPR. Unlike the common approach, we use global pointers to decode entities and relations and use potential relation embeddings in the input text for feature fusion when decoding relations. GPPR can completely solve the overlapping problems because of the global pointer network, and the use of potential relation embeddings can reduce the computation of the network. Experiments demonstrate that our proposed model outperforms the state-of-the-art (SOTA) baselines on public benchmarks with higher efficiency and performance.
ON THE SOLVABILITY OF GENERALIZATION OF THE CONJUGACY PROBLEM OF SUBGROUPS IN A CERTAIN CLASS OF ARTIN GROUPS

At the beginning of the twentieth century, the fundamental problems in group theory from the point of view of the existence of algorithms took shape. These include the problems of words, as well as the conjugacy of arbitrary words (formulated by M. Den). In addition, the problem of isomorphism for groups is posed (formulated by G. Titze). Russian algebraists P.S. Novikov and S.I. Adyan were able to obtain a proof of the unsolvability of these problems for all groups belonging to finitely defined groups. After the publication of these results, algorithmic problems, together with their various generalizations, are investigated already in fixed classes of groups. As one of the generalizations of the problem for conjugacy of arbitrary words, the question of conjugacy of arbitrary subgroups is posed, namely, the question of finding an algorithm that, by arbitrary subgroups given by a finite set of generating and defining words of some group, could determine whether they are conjugate in this group or not conjugate. As another generalization of the conjugacy of words, we can consider generalized conjugacy for words, which allows us to determine an algorithm capable of determining from arbitrary finite sets of words from a certain group whether they will be conjugated in it or not. If both of these generalizations are combined into one, then we get a generalization of the conjugacy problem of subgroups. Artin groups appeared a long time ago, they include wellknown braid groups that have been studied from an algebraic point of view since the twenties of the last century. The solution of the problems under consideration in Artin's groups caused great difficulties, which led to the allocation of various subclasses. The article proves the solvability of generalization of the conjugacy problem of subgroups in Artin groups on two generating ones.
Trend Analysis of Malaria Prevalence in a District of Western Ghats, Karnataka, India: A Retrospective Study

Introduction: Among vector borne diseases, malaria remained a major threat to public health from decades because of its course and complications. Being the endemic region, malaria poses a great threat because it causes multiorgan failure. Though continuous monitoring, effective implementation of control measures are in place still India contributes to majority of cases in sub Asian region. Aim: To estimate the prevalence of malaria, to determine the seasonality and to analyse the trend of the disease over the period. Materials and Methods: This was a retrospective study conducted at Chikamagalur a district in Karnataka, India, in the year 2022 over a period of six months. The study was done by collecting the data of patient details from the laboratory register. The results were analysed, positive results were calculated for disease burden by Plasmodium vivax (P. vivax) and Plasmodium falciparum (P. falciparum). Results: Out of 27,474 samples, 94 were found positive for malaria parasite of which P. vivax cases were 90 (95%) and 4 (5%) was P. falciparum cases. Prevalence rate was 0.34%. There is 24% drop in malaria cases from 2019-2021 when compared to 2015-2018. Conclusion: The present study shows decline in the number of malaria cases from 2015 to 2021. The cases showed seasonal variation with maximum cases being reported in September. As India is in the decline phase of cases, with the collective efforts of clinicians, laboratory personnel and community health workers, elimination of malaria could be a possibility.
A Survey on Recent Advancements in Auto-Machine Learning with a Focus on Feature Engineering

A study on the recent trends and progress in the area of Automated Machine Learning (AutoML) is done in detail in this paper. AutoML deals with the end-to-end automation of various steps in a machine-learning pipeline. Some of the steps include feature selection, feature engineering, neural architecture search, hyperparameter optimization, and model selection. The time and the specialized skill set required to perform these tasks may be reduced to some extent with the help of automating all or some of these steps. Thus, a lot of research is going on in the area of AutoML and the recent research articles add justice to the same. A review of existing literature on AutoML with a focus on feature engineering is presented in this paper to assist scientists in building better machine learning models "off the shelf" without extensive data science experience. The use of AutoML in different sectors will also be discussed, as will existing applications of AutoML. A review of published papers, accompanied by describing work in AutoML from a computer science perspective was conducted.
Predicting the intention to use social media among medical students in the United Arab Emirates: A machine learning approach

Aim: The volume of research being conducted on the acceptance of social media platforms is rising. But the factors influencing the acceptance for academic reasons are still not properly identified. This study's goal is two-fold. Initially, by including Technology Acceptance Model (TAM) and external variables, analyze the students' intention to use social media networks. Secondly, to employ Machine Learning (ML) algorithms and Partial Least Squares-Structural Equation Modeling (PLS-SEM) to verify the proposed theoretical model.&#x0D; Methods: The focus of this research is to create a conceptual model by supplementing TAM with a subjective norm to assess students' adoption of social media in the classroom. Students currently at one private university in the United Arab Emirates (UAE) provided a sum of 627 acceptable questionnaire surveys out of 700 distributed corresponding to 89.6%. The collected data were evaluated using ML and PLS-SEM.&#x0D; Results: According to the research findings, students' intention to utilize social media networks for learning is significantly predicted by “subjective norms, perceived usefulness, and perceived ease of use”. These findings illustrated how crucial it is for students to feel capable and secure using social networks in their academic work. For validation using machine learning classifiers, the results showed that J48 (a decision tree) typically outperformed other classifiers.&#x0D; Conclusion: According to the empirical findings, "subjective norm," "perceived usefulness and ease of use" all significantly increase students' intention to use social networks for learning. These results were in line with earlier research on social network acceptability. Lawmakers and managers of social media platforms in education must therefore concentrate on those factors that are crucial to promoting education and enhancing students' capacity for developing and implementing successful social media applications.
IMPLEMENTASI DATA MINING PENINGKATAN PRODUKSI BERAS MENGGUNAKAN METODE K-MEANS CLUSTERING

Increasingly high growth rates in the world, especially in developing countries like Indonesia, have reduced the area of agricultural land, thereby reducing food production. Rice is one of the staple food ingredients which is an important commodity, especially in Indonesia because rice is the main consumption ingredient for people to obtain carbohydrate intake. This study discusses the implementation of data mining in increasing rice production in North Sumatra province using the K-Means Clustering algorithm as a solution to solving cases. The source of data in this study was obtained from BPS North Sumatra with 32 processed data. Data analysis in this study used 2 (two) cluster levels, namely the high cluster (C1) and the low cluster (C2). The research results obtained are that there are 3 cities/regencies that are included in the high cluster (C1) and there are 29 other cities/regencies that are included in the low cluster (C2). It is hoped that the research results can become input, suggestions and efforts for the North Sumatra provincial government to pay more attention to increasing rice production in each region so that it can meet the basic needs of the community so that it can increase food security more optimally.
A fully-connected three-user quantum hyperentangled network

Abstract Exploiting the fantastic features of quantum mechanics, a hyperentangled quantum network encoded in multiple degree of freedoms (DOF), e.g., polarization and orbital angular momentum DOFs, can encode more qubits per transmitted photon and offers a promising platform for many dramatic applications. Here, we demonstrate such a hyperentangled multiuser network with a fully connected network architecture by using dense wavelength division multiplexing and entanglement transfer technique. Three hyperentangled states in polarization and time-energy DOFs are multiplexed to three single mode fibers to form the fully connected network architecture. Then, three interferometric quantum gates are utilized for transferring quantum entanglement from time-energy to orbital angular momentum DOF. The experimental results reveal a high quality of the hyperentanglement of the constructed network with the entangled state fidelity of higher than 96%. Our approach can provide a novel way to construct a large-scale hyperentangled network that can support various kinds of quantum tasks like superdense coding and teleportation.
Aplikasi Penerjemah Bahasa Isyarat Indonesia Ke Dalam Huruf Abjad

Sign language is the language used by people with limited speech or hearing. However, not everyone knows how to translate sign language in letters. Therefore, this research is motivated because there are many people who are normal or who do not have disabilities in speaking or listening who do not know how to communicate with people who have these limitations. So from this i raised a topic for the final project, "Application of Indonesian Sign Language Into Alphabet Letters. By using the Convolutional Neural Network classification method using the MobilenetV2 model architecture. The results of the classification will be exported into a model which will then be processed using Tensorflow Lite Android Studio. Based on the results of model testing, the resulting accuracy level reaches 0.9995 with a loss value of 0.6982. So that the performance of the application detection is not optimal. In addition, this application also displays animated letters of the Indonesian sign language alphabet so that people can also learn Indonesian sign language in visual form.
APLIKASI VIRTUAL REALITY GALERY SEJARAH KABUPATEN PINRANG MENGGUNAKAN VR BOX 3D

Nowadays, people's enthusiasm in studying history, especially the history of their respective regions, is currently decreasing, so that knowledge about the history of the region is minimal and coupled with the lack of literature on the history of an area and the lack of initiative and creativity of local governments in educating history to the public. Responding to problems like this, new breakthroughs are needed such as field trip methods combined with a technological device, such as one of the visual technologies that can be used for field trips is virtual reality technology. By applying the throw away prototype method as a method in making applications where the throw away prototype method is a method that leads to presentation results only, aims to visualize a system that is being built based on user comments, the next prototype continues to be built until it can visualize a real working system. Tests carried out using the black box method and white box testing on the Pinrang Regency historical gallery application. The results of this study can be used by the people of Pinrang Regency, especially for students as a means of learning history about Pinrang Regency.
PENERAPAN STEGANOGRAFI GAMBAR BERWARNA PADA DELAPAN IMAGE COVER MENGGUNAKAN METODE LSB

Social interaction activities through devices connected to the internet, through computers, tablets and mobiles, have become activities that are often carried out. Advertising promotions, playing games, reading news, articles, or using social media, are some of the activities that can be done, and image activities are very important to support user interaction. By looking at the use of images on the internet, in this study an experiment will be conducted to see one of the unique things that can be done on the internet, namely hiding images in the images that have been provided, in the form of images that will be posted on social media accounts. Hiding The term can be termed as Steganography, By using LSB technology, the application that will be used can hide images into images.
MEMBUAT ANIMASI BERGERAK MENGIKUTI GERAKAN MANUSIA DENGAN TEKNIK BODY TRACKING

This research is motivated by the existence of technology that can combine 2 (two) or 3 (three) dimensional virtual objects into a real environment, the technology is augmented reality. in the process of animating or providing motion in 2-dimensional or 3-dimensional animation, special software is needed for its management and skills and experience that are qualified to create a moving animation well. Based on this background, the purpose of this research is to make animations that follow human movements with body tracking techniques. By using quantitative research methods, where this study seeks to describe and interpret objects as they are. The data is obtained indirectly (Study Literature), namely collecting information data related to the research being carried out, such as studying libraries or libraries from Javascript, namely p5.js. This application can track or track objects other than humans such as dolls and human photos. In an article that discusses the research conducted, making this application by running the application there is a delay in animation movement of the object followed by its movement with an average delay of 1.48s with a total of 33 trials and a distance of 15 -500 cm due to VGA and less capable processors.
Aplikasi Peminjaman Buku Pada Perpustakaan Menggunakan Kartu Tanda Siswa (KTS)

Data processing and information dissemination in school libraries often encounter obstacles or problems, if the source is still in the form of static paper or relies on someone's memory as a storage medium, causing various problems such as data loss. Through the library automation system, the library management process is expected to run more effectively and efficiently. So the development of a library that uses an RFID system for library managers can help library managers so that they can store book data in the library using the system. And can also find out what books are being lent and have not been returned by using a database that contains data on a collection of books and members. In this study, the author produces a system using a Delphi desktop application integrated with RFID and Barcode so that the stored data is more secure because it is an application where the data is stored safely.
A Comparative Study on Text Features of Chinese Writing by Chinese and Koreans

The research purpose of this paper is to compare and analyze the textual features of Chinese writing by Koreans and Chinese individuals, in order to derive solutions for writing good or exemplary Chinese Texts that conform to these features. Korean Chinese writing is classified into excellent and immature texts and compared and analyzed with exemplary Chinese writing by Chinese individuals. There are 9 variables used as tools for analyzing textual features:T-unit numbers(X1), Topic of sentence number(X2), Whole word numbers(X3), Incorrect sentence number/whole sentence number(X4), Cohesive ties number/whole sentence number(X5), The number of thematic chunks(X6), Whole word numbers/T-unit numbers(X7), T-unit numbers/topic of sentence number(X8), The number of thematic chunks/the number of sentence theme(X9).BR According to the result of analysis, the features of good or exemplary Chinese writing are as follows: Firstly, there are many T-units per text, indicating rich content. Secondly, there are few grammatical errors, and there are many T-units per topic, allowing for detailed descriptions of a single topic. In addition, the number of thematic chunks per topic is many, allowing for detailed descriptions of a single theme. Thirdly, exemplary Chinese writing makes frequent use of cohesive ties, has a high number of thematic chunks, and uses fewer words per T-unit, resulting in shorter descriptions. Fourthly, there are few sentence topics, allowing for focused descriptions on the topic, and there are many characters per sentence, resulting in longer sentences.
Runtime Verification: Recognising Abstraction Violations

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Social media, freedom of speech and the future of our democracy

"Social media, freedom of speech and the future of our democracy." The Round Table, 112(2), pp. 201–202
Human body structure extraction of anime characters based on deep learning

With the popularity of social networking services and smartphones, photo processing applications have become widely used, and there is a growing interest in more advanced photo processing techniques. In the field of image generation, methods based on adversarial generative networks (GANs) have shown particularly good results. We discussed the anime characters’ body structure extraction methods based on generative adversarial networks (GANs). This research is expected to be applied in the field of drawing that can be used as a tool to significantly reduce learning period or provide a new study method for drawing beginners.
Debriefing and Post-Experimental Procedures

The steps social and behavioral scientists take after the end of a study are just as important as the steps taken before and during it. The goal of this chapter is to discuss the practical and ethical considerations that should be addressed before participants leave the physical or virtual study space. We review several post-experimental techniques, including the debriefing, manipulation checks, attention checks, mitigating participant crosstalk, and probing for participant suspicion regarding the purpose of the study. Within this review, we address issues with the implementation of each post-experimental technique as well as best practices for their use, with an emphasis placed on prevention of validity threats and the importance of accurate reporting of the steps taken after the experiment ends. Finally, we emphasize the importance of continuing to develop and empirically test post-experimental practices, with suggestions for future research.
Analysis of Samba Bounce in Latin American Dancing

Samba Bounce is analysed in the mechanical point of view. There have been confusion and misunderstanding among the dance teachers as they explain the bounce action designating the height of the body and the force in relation to the music timing. Bounce action has been explained in the syllabus using special terms such as “minimal weight”, “part weight”, “without weight but with pressure” and other terms. These confusions and somewhat ambiguous terms in the scientific sense are clearly resolved by the present mechanical analysis and interpreted with newly introduced concept of “static weight” and “dynamic weight”. In the presentation, the bounce movement is expressed as a simple harmonic vertical motion. The height position, vertical velocity and acceleration of dancer’s body are shown with the forces between the floor and each foot. The difference between dancer’s feeling and observer’s feeling is also explained. figures.
Physics Guided cWGAN-gp for accurate airfoil generation

There has been research on airfoil design using deep generative models such as generative adversarial network (GAN). However, in prior methods, the generated results do not always satisfy the governing equations. This paper reports the results of an attempt to construct a physics guided deep generative model and use it for fine-tuning. Computational software that calculates the aerodynamic performance of shapes was placed on a network. An objective function was expressed in terms of the relationship between the generated and required performance. As a result, it is confirmed that desirable shapes that accurately satisfies requirements were obtained, but on the other hand, a drawback was found in that the variety of shapes was reduced.