Reviewerly/exHarmony huggingface dataset:
Enhancing the Quality of the Game with Art: A Case Study of the Game Wildfrost

In the modern era where video games are booming, the art of games has evolved through generations and there are many artistic aspects of games that are worthy of study. Some games have a lot to offer in terms of art, so they can be used as practical examples to help improve the game's art. Wildfrost, released on 12 April 2023, is an example of a game where the various character designs are featured, and the overall art level is remarkable among all card games. The purpose of this article is to research and learn specific aspects of the art in Wildfrost in order to help more games with their art. Such a study is beneficial to the development of game art, allowing more game makers to have a deeper insight into the game art and provide some help to the development of the game. The art in Wildfrost is divided into three directions by article: art style, UI design, and juicy design, and studied separately. By separating and simplifying the art in the game, this approach makes the study more accessible and more specific. After studying them, the article concludes each direction's merits and design features and further elaborates and investigates why they are suitable and designed in the subsequent discussion section.
Oracle text positioning system based on improved YOLOv7-FC model

In recent years, how to use computer to efficiently and accurately recognize oracle characters on oracle rubbings has become the focus of research. Due to the severe damage caused by the natural environment and the characteristics of complex background and loud noise, the oracle bone rubbings are difficult to separate the foreground and back of the oracle bone inscriptions. Therefore, it will be the future research direction to eliminate the negative impact of complex background and accurately locate the Oracle bone inscriptions. This paper puts forward the YOLOv7-FC neural network model and realizes the specific application in the oracle topology data set, and presents the system of single oracle character positioning results.The experimental results show that on the HWOBC-A dataset, the mAP value of the YOLOv7-FC neural network model proposed in this paper reaches 0.937. Compared with the original YOLOv7 model, it has improved by 0.22, effectively balancing the relationship between running speed and average accuracy, and providing feasibility for Oracle text localization machine learning method.
Support Vector Machine For Hoax Detection

Along with the development of information technology, news media has also developed by presenting information online Along with the rapid development of online news, the spread of fake news information (hoaxes) is also increasing rapidly and widely. Hoax news is often spread intentionally for various purposes. Generally, hoax news aims to direct the reader's perception to believe in a bad perception of an event, character or even a company. The motivation is to invite readers to believe something that is not true with the aim of benefiting the news disseminator is something dangerous. This research aims to detect English-language hoaxes by applying the Support vector machine (SVM) algorithm. In this study, the data used are two data sources, namely English news datasets from Kaggle and English news taken from BBC. The results of this study show that the application of the SVM algorithm turns out to get good performance because the model is able to classify hoax news with an accuracy of 99.4% on Kaggle data while on the BBC news dataset the model gets an accuracy of 98.9%. This research also shows that the SVM method is proven to have good generalization properties. Where it is able to identify test data that is completely different from the training data.
Implementation of a Decision Support System for Selection of Used Motorbikes using the Simple Additive Weighting Method

Motorized vehicles are one of the means of transportation that is widely used in society. In a traffic jam, the motor can provide good mobility. Motorcycles are one of the primary needs for the middle-class economic community. The economic limitations of some people to buy a new motorbike are experiencing problems. So the alternative way is to choose to buy a used motorbike. Not a few consumers who want to buy a used motorcycle at a slightly cheaper price but with a quality brand. On the grounds of a lack of funds or simply wanting to replace a used motorbike, buying a used motorbike can be an option to meet these needs. The SAW method is a method that is often used to make a decision using a weighted algorithm and requires matrix normalization which has alternative rating scales available. To overcome existing problems, it is necessary to implement a decision support system in selecting the best used motorbike in order to provide a structured assessment that can help visitors in choosing the best used motorbike using the Simple Additive Weighting (SAW) method. With the existence of a decision support system for selecting used motorbikes that applies the SAW method, it is hoped that this system can help visitors choose the best used motorbike, can fulfill information needs relating to selecting the best used motorbike, and can answer and assist admins and visitors in solve the problem of selecting the best used motorcycle.
Asteroid Mining Evaluation Model Based on AHP and TOPSIS

It is assumed that future mining trips to asteroids will be possible and that humans will be able to bring valuable minerals back to Earth for investment at a relatively safe cost. Therefore, it is important to explore the impact of asteroid mining on global equity.First，we first used hierarchical analysis to determine the weights using five indicators: military, economic, scientific research, social, and environmental. Then the five superior indicators were subdi-vided into 20 inferior indicators, and the data from each national statistical office were used to score the strength of the eight countries using the TOPSIS method based on entropy weighting, while cluster analysis of the data was performed to verify that our model was better.
Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes

The study of temporal dynamics of gender and ethnic stereotypes is an important topic in many disciplines at the intersection between statistics and social sciences. In this paper we make use of word “embeddings,” a common tool in natural language processing and of Bayesian nonparametric mixture modeling for the analysis of temporal dynamics of gender stereotypes in adjectives and occupation over the 20th and 21st centuries in the United States. Our Bayesian nonparametric approach relies on a novel dependent Dirichlet process prior, and it allows for both dynamic density estimation and dynamic clustering of adjective embedding and occupation embedding biases in a hierarchical setting. Posterior inference is performed through a particle Markov chain Monte Carlo algorithm, which is simple and computationally efficient. An application to time-dependent data for adjective embedding bias and for occupation embedding bias shows that our approach enables the quantification of historical trends of gender stereotypes and hence allows to identify how specific adjectives and occupations have become more closely associated with a female rather than male over time.
Research On Countermeasures of Strengthening Ecological Civilization Education of “Outline of Modern and Contemporary Chinese History" Course

"Outline of Modern and Contemporary Chinese History" is one of the main courses for moral cultivation. In order to implement the spirit of the 20th National Congress of the Communist Party of China, to promote the harmonious coexistence between human and nature, to improve the quality of ecological civilization of college students, and to enhance the teaching effectiveness of the "Outline" course, it is necessary to strengthen the ecological civilization education of the "Outline" course. It is an is an important guarantee to develop, utilize and explore the ecological civilization education resources in the textbook for the comprehensive integration of ecological civilization education into the "Outline" course.It is necessary to flexibly use a variety of teaching methods in combination with the teaching content of ecological civilization and strengthen the practice of ecological civilization teaching inside and outside the school. It is the key to improve teachers' ecological literacy for enhancing the effectiveness of ecological civilization education in the “Outline” course
Digital Transformation of Open Online Courses in the Age of Smart Education: Connotation, Dilemma and Breakthrough

In the era of smart education, digital technology has enabled higher education, enabling online open courses to move towards student-centred, personalized, intelligent and experiential. How to implement the digital transformation of open online courses is a current topic for governments, universities, societies and enterprises. The digital transformation of open online courses requires government, industry, universities and society to play the role of multi-subject cooperation and joint construction. The digital transformation framework for open online courses needs to be constructed from a set of system norms, six key technologies, one platform, four domains, and multi-subject co-construction. To this end, this study proposes practical paths to effectively promote and realize the digital transformation of open online courses in terms of top-level design, multiple co-construction, technical empowerment, platform construction and service guidance.
Design of a New Physical Bookstore with Intangible Cultural Heritage Paper Theme based on Cultural Experience

With the development of society, the traditional era of service economy is moving towards the era of experience economy. This has led to a higher pursuit of cultural added value in daily activity spaces. Traditional physical bookstores have a single and outdated cultural service function, and due to factors, such as electronic reading and online bookstores, it is difficult to meet people's higher consumption needs. The current operating situation of traditional physical bookstores is not optimistic, and there is an urgent need for transformation and upgrading. With the theme of intangible cultural heritage rice paper, this design plans to build a new physical bookstore in Jing County, Xuancheng, Anhui Province. Through the injection of functions, culture, digitalization, etc., it will create a place that can meet the diverse needs of consumers, and achieve one-stop experience of buying books, entertainment, leisure, and light food, so that it has both commercial value and intangible cultural characteristics. Forming a virtuous cycle of intangible cultural heritage driven bookstore transformation, and promoting the dissemination of intangible cultural heritage through bookstores.
Experience Deploying Graph Applications on GPUs with SYCL

SYCL allows for deployment and use of accelerators across vendors’ platforms. In this work, we describe the experience of deploying graph analytics on vendors’ GPUs using SYCL. We contrast the CUDA and SYCL application programming interfaces by describing the experience of migrating the applications from CUDA to SYCL, evaluate the performance of the applications on NVIDIA and AMD GPUs, and explore performance improvement with device-level parallelism. The results show that the recent SYCL extensions facilitate functional portability, but improving code optimizations and resource usage for performance portability is needed in the compiler implementation.
Syntactic productivity under the microscope: the lexical and semantic openness of Dutch minimizing constructions

Abstract This paper investigates different aspects of syntactic productivity and its relation to semantics. Based on a case study of 43 Dutch minimizing constructions, the correlations between nine different variables are examined: metrics of lexical openness ( TypeTokenRatio , HapaxTokenRatio , HapaxTypeRatio ), measures of conventionalization ( FrTop1 , MeanFrTop3 , SDTop3 ), characteristics of the frequency distribution ( Alpha parameter of the Zipf curve) and two semantic variables based on distributional semantics ( SemanticRange , SemanticSparsity ). The analysis shows very strong correlations between most variables, but it also detects second-order extensibility based on HapaxTypeRatio and the way it interacts with semantic openness as measured by SemanticSparsity .
System Research of Computer Artificial Intelligence Information Technology in Teaching and Research Learning Terminal

With the application of mobile teaching and research learning as the research background, this paper attempts to explore a new conversion method for Web content application to mobile teaching and research learning. The non-standard HTML documents are clipped and formatted based on proxy server. Make it a document that strictly follows the format definition required by XHTMLMP. Then this paper proposes an instant message push method based on user demand priority. The similarity measurement method is introduced to construct the prediction model of instant message score of mobile learning terminal, obtain the priority set of instant message push, and complete the push according to the priority. Finally, the main functions of the system are implemented, and it is found that the landing page design can improve the system security by 30%, and the course Q&amp;A page design can increase the participation of teaching and research learners by 50%.
A Study on the Effectiveness of Speaking Apps in Improving Students' Speaking Skills

In the context of education informatization, educational apps are popular as one of the mobile learning methods. This study was guided by multimodal theory and investigated students' attitudes toward learning with speaking apps and the effects of speaking apps on students' speaking skills through questionnaires and experimental studies. The following conclusions were drawn: speaking apps can stimulate students' interest in learning speaking, enhance their awareness of independent learning, and improve their speaking skills; speaking apps embody multimodal discourse design and are interactive, interesting, and effective in learning; most students are more willing to promote speaking apps for teaching.
Path Planning: An Analytical Comparison of A* Algorithm Fusion DWA and Ant Colony Algorithm Fusion DWA

In recent decades, the robotics sector has grown significantly, and the automation of industrial production and daily life has become a shared objective. In recent years, self-driving cars have emerged around the globe, but the majority are still in the research phase and very few are in use in developed regions, not only because of their cost, but also because of their safety and efficiency for path planning and the speed of avoidance in the face of dynamic obstacles, which has been a concern. In this work, multiple path planning algorithms, including the A* method, the dynamic window technique, and the ant colony optimization (ACO) algorithm, will be empirically explored. Initially, the fundamental algorithm will be enhanced, and then the enhanced algorithms will be fused, resulting in a considerable increase in responsiveness and computing efficiency. The study will then attempt to combine the A* algorithm and the ACO algorithm with the dynamic window method and analyse the pros and cons of the two fusion algorithms for path planning in various situations. The A* algorithm fused with the dynamic window method is, on average, more suited for complex situations than the ACO algorithm fused with the dynamic window technique.
Problems and countermeasures of comprehensive quality evaluation of middle school students

With the deepening of the new college entrance examination reform, the comprehensive quality evaluation has attracted more and more attention, and has become the focus in the eyes of students, parents, educators and related scholars. Making full use of the promotion function of comprehensive quality evaluation can promote the promotion of middle school students' ability and quality development. However, there are also some problems in the comprehensive quality evaluation of middle school students, which need to be solved. Therefore, in this paper, through the literature, the comprehensive quality evaluation, the study found that the comprehensive quality evaluation has certain problems, such as the understanding of comprehensive quality evaluation function orientation, part of the comprehensive quality evaluation index operability is not strong, the comprehensive quality evaluation play inadequate, this paper puts forward the countermeasures of comprehensive quality evaluation.
KAJIAN PSIKOLOGI SASTRA DALAM NOVEL TOPI HAMDAN KARYA AUNI FA

Literary psychology is a field of study that examines literary works considered to reflect psychological processes and activities. This research questions how the intrinsic elements in the novel "Topi Hamdan" by Auni Fa can be examined in the context of literary psychology, and the purpose of this research is to describe the intrinsic elements and emotional classification of the characters in the novel. The method used is qualitative descriptive research, with data derived from the novel "Topi Hamdan" published by PT Tiga Serangkai Pustaka Mandiri in November 2017. In this study, data collection techniques used include literature review, reading techniques, and note-taking techniques. The literature review was conducted by collecting books and journals related to literary psychology. To ensure data validity, the technique of triangulation was used by comparing the theories and data collected by the investigator. The data analysis technique used is content analysis. Based on the research findings, it was found that the intrinsic elements in the novel "Topi Hamdan" by Auni Fa discuss Hamdan's life journey filled with problems and sadness. This research also examines the setting, atmosphere, time, and character portrayal in the novel. In the novel "Topi Hamdan" by Auni Fa, there are twenty characters who play competent roles. This research also classifies the emotions of the characters in the novel. The identified emotions include the concept of guilt, suppressed guilt, self-punishment, shame, sadness, hatred, and love.
Research on Data Analysis of Efficient Innovation and Entrepreneurship Practice Teaching Based on LightGBM Classification Algorithm

Abstract The transformation of innovation and entrepreneurship practice teaching and education methods has put forward higher requirements for the intelligence and personalization of online education platforms. The aim of this study is to predict learning outcomes based on students' learning outcomes and habits, identify weak areas of knowledge, and provide targeted guidance and recommend the most suitable teaching resources. According to the concept of LightGBM model and the method of Feature selection, the research puts forward an integrated classification model ELO–LightGBM based on Elo Rating System (ELO) scoring system and Light Gradient Boosting Machine (LightGBM), trying to further mine the potential information of the practical teaching management data set. The model obtained a score of 0.7928 when using the dataset training, and a large number of comparative experiments were carried out between the ELO–LightGBM model and other classification models in different public datasets. The experimental results proved that the ELO–LightGBM model is more accurate than other classification models. In the comparative experiment on the practical teaching data set, the accuracy of the ELO–LightGBM model also surpassed the LightGBM model and the linear support vector machine model that performed well in small data sets, and the model was in the accuracy rate. The accuracy rate of winners in the comparison of micro-average is as high as 82.6%. It can be seen that the ELO–LightGBM model is of great significance to the intelligence and personalization of the online education platform.
Salient object detection with dual-branch stepwise feature fusion and edge refinement

In recent years, Transformers have been gradually applied in salient object detection tasks with good results. However, the Transformer’s global modeling capabilities can lead to the loss of local details that are important in salient object detection tasks. A feature extraction backbone based on a convolutional neural network (CNN) is good at extracting local detail features due to the gradual expansion of the receptive field but is limited by the size of the receptive field, resulting in an insufficient ability to extract global semantic features. Therefore, this paper combines the Transformer with a CNN and presents a dual-branch encoder to ensure that the features extracted contain rich global semantic information as well as local detail features. In addition, due to the different features extracted by the Transformer and CNN, noise may be introduced in the fusion of the two features, so different features need to be processed correspondingly during fusion. The fusion enhancement module (FEM) we propose fuses the features of the two branches step by step. A hybrid attention mechanism is used to carry out weighted fusion of different features. This progressive approach minimizes the differences between the features of the two branches so that the merged features retain the semantic and detail features extracted by the two branches to the greatest extent. Considering the loss of detailed information caused by repeated downsampling, we propose an edge refinement module (ERM) to address the need for accurate outline prediction. This module leverages salient features to obtain edge features and gradually refines the prediction results by incorporating these edge features. It makes full use of the connection between salient features and edge features and does not introduce additional edges to extract branches. Extensive experimental evaluations conducted on five benchmark tests demonstrate the superior performance of our method compared to other existing approaches. Code can be found at https://github.com/gfq1605694825/DSRNet-main.