Reviewerly/exHarmony huggingface dataset:
Semantic-based visual vocabulary for loop closure detection

Recognizing when a robot is navigating in a previously visited location, known as loop closure detection, constitutes an essential task within any simultaneous localization and mapping (SLAM) system. This ability permits the agent to reduce the accumulated drift and generate a consistent map when estimating its traversed path. As the semantics of a scene attract the researchers’ attention, mainly due to their offered possibilities in allowing an intelligent robot to understand better what is included in its explored area, several methods for extracting this information have emerged. Aiming to recognize a familiar place and address the task of loop closure detection using appearance data provided by a camera sensor, this work proposes a novel pipeline based on high-level visual semantics. By classifying a scene through a finite number of classes, an n-gram-based semantic visual vocabulary is created using the combined data of sequential images. By comparing the query, i.e., the most recent captured image, with the previously visited set, votes are distributed into the database, while the most prominent ones are selected for further validation. The final decision comes via a geometric verification between the chosen images. High performances are achieved as our pipeline is evaluated on different publicly-available and widely-used image-sequences, surpassing several state-of-the-art algorithms.
Exploring the Information-seeking Behaviour of Students at the Federal University of Lafia, Nigeria, who Use Mobile Technologies to Access Information

The advent and development of ICTs brought about changes that influence users’ information-seeking by using mobile devices. This article contains a report from a doctoral thesis on a qualitative phenomenological study that explored the use of mobile devices by undergraduate students at the Federal University of Lafia, Nigeria, to seek academic-related information. A semi-structured interview schedule was employed to collect data from 21 students from years 2, 3 and 4. Owing to certain features of mobile devices, the findings suggested that mobile devices influenced the students’ information-seeking behaviour. The features that influenced the use of mobile technologies for information-seeking purposes included affordability, ease of use, portability, and convenience. However, features such as screen size and unstable networks negatively affected the use of mobile devices for information-seeking purposes. In turn, some user-related characteristics, such as a lack of information literacy skills and a lack of knowledge on how to use mobile technologies, seemed to affect the students’ willingness to use mobile technologies for information-seeking purposes.
A Practical Study of Applying Optimization Theory in English Teaching Work in Colleges and Universities

Abstract This paper analyzes the optimization problem of the English teaching process, uses the proposed Newton algorithm to solve the optimization problem, and provides the calculation process for the BFGS algorithm. Based on the optimization theory, the principle of optimization of English teaching in colleges and universities is discussed, and the mixed teaching mode of English in colleges and universities is constructed. To verify the practical effectiveness of the application of the English mixed teaching mode in English teaching work, an empirical analysis was carried out. The results show that the English hybrid teaching mode based on the optimization theory can effectively improve students’ English oral expression ability, and the difference in oral accuracy of the experimental class compared with the control class is 11.98 points, and 20.41 points improve fluency. It can also provide effective help for students to improve the content, language, and chapter structure of English writing and promote the innovative development of English teaching in colleges and universities.
Reform and Innovation of Dance Education in Colleges and Universities in the Internet Era

Abstract This paper firstly proposes the reform strategy and innovation direction of college dance education based on the Internet background of the era and adopts Webwork+Spring+Hibernate to build the overall architecture of the dance education system and designs the functional modules of the dance education system. Then, establish the dance teaching model based on association rules, use the association rule data mining algorithm to mine specific laws to improve the prediction model, and measure the standard of association rules by T test. Finally, the dance education system is tested for operation, compatibility, response time, and application analysis. The results show that the average score of students’ final exam before applying the dance teaching system is 75.23, and the average score of students’ final exam after applying it is 86.12, which is an improvement of 10.89 points, which shows that the dance education system constructed in this paper is able to improve the student’s academic performance, and promote the reform of dance education in colleges and universities effectively, and provide a new direction for the development of dance education in colleges and universities.
Research on the Construction of English Teaching Resource Base in Colleges and Universities under the Background of Artificial Intelligence

Abstract In order to improve the status quo of English teaching in colleges and universities, this paper combines the basic concepts of teaching resource base construction with artificial intelligence technology to build a teaching resource base for English in colleges and universities. The overall framework is designed first, followed by the intelligent identity recognition function that is based on artificial intelligence technology. Secondly, on the basis of the text classification algorithm, it designs an intelligent classification retrieval model for English teaching by improving the resource text feature selection algorithm and the resource text representation algorithm. Finally, the performance of the designed college English teaching resource library was tested and explored practically. The results show that the overall teaching resource text feature classification performance has an accuracy, recall, and F1 score of around 0.9. After the teaching practice, the teacher’s lesson preparation and professional competence have been improved by 0.22 and 0.23, respectively, and the student’s English communication and reading competence have been improved by 0.22 and 0.21, respectively. The construction of the English teaching resource base based on this research can improve English teaching.
Innovation and Practice of Educational Management System of Colleges and Universities under the Concept of Internet+ Education

Abstract Based on the data mining technology under the concept of Internet + education, this paper determined the type of clustering adopted, the type of clustering variables is discussed, and the division method and hierarchical method of clustering are utilized to divide the educational management work of counselors into management ability, management attitude, and management method, and the teaching quality of teachers is divided into teaching content, teaching art, classroom management, classroom structure, and teaching effect. Educational management countermeasures are proposed for clustering results, and developmental countermeasures and action paths are proposed. The values of management attitude, ability, method, and effect are 0.607, 0.566, 0.5528, and 0.5768, respectively. The scores of students’ education and management work are all above 0.55, which is a moderate level. The four attribute values indicate that management attitude has a strong role in the educational management work of college counselors.
The Construction of English Precision Education Model in Colleges and Universities under the Background of Artificial Intelligence

Abstract This paper first deconstructs the core of the college English precision education model, combines relevant theoretical knowledge, and constructs a college English precision education model based on artificial intelligence. Secondly, the convolutional neural network technology is integrated into the joint probability matrix decomposition model, and the resource recommendation list is generated through the cognitive ability level of students and their individualized needs so as to realize the precise, intelligent recommendation of English education resources. Finally, the performance of the recommendation for teaching English educational resources and the practical effect of the educational model are explored through comparative experiments. The results show that the precision rate and recall rate of the recommendation with a test set of 10% are 0.871 and 0.866, respectively, and the F1 value is 0.88. After the teaching practice, students’ listening ability improved by 0.132, expression ability improved by 0.13, reading ability improved by 0.132, writing ability improved by 0.130, and translation ability improved by 0.128. Based on the paper, the educational model has a positive impact on improving the level of English education in colleges and universities.
Negative Impoliteness Strategies Used by Customers of Muara Bungo Home Credit

This research analyzes the negative impoliteness strategies used by customers of Muara Bungo Home Credit through WhatsApp text messages and how the strategies function in delivering the impoliteness between the customers and the employees of Home Credit. The purposes of this research are (1) to analyze the negative of impoliteness strategies used by customers of Muara Bungo Home Credit; (2) to analyze the functions of impoliteness strategies aimed by customers of Muara Bungo Home Credit. The analysis applied Culpeper’s (1996) theory on impoliteness strategy and Culpeper’s (2011) theory on impoliteness function. The research also applied descriptive qualitative method, with the customers’ WhatsApp text messages as the source of the data. The result of this research shows that, (1) there are negative impoliteness (6 data) which occurred in the research; (2) all 6 data of negative impoliteness strategies used by the customers had different functions, which are affective (3 data), and coercive (3 data).
Quantifying confidence shifts in a BERT-based question answering system evaluated on perturbed instances

Recent work on transformer-based neural networks has led to impressive advances on multiple-choice natural language processing (NLP) problems, such as Question Answering (QA) and abductive reasoning. Despite these advances, there is limited work still on systematically evaluating such models in ambiguous situations where (for example) no correct answer exists for a given prompt among the provided set of choices. Such ambiguous situations are not infrequent in real world applications. We design and conduct an experimental study of this phenomenon using three probes that aim to ‘confuse’ the model by perturbing QA instances in a consistent and well-defined manner. Using a detailed set of results based on an established transformer-based multiple-choice QA system on two established benchmark datasets, we show that the model’s confidence in its results is very different from that of an expected model that is ‘agnostic’ to all choices that are incorrect. Our results suggest that high performance on idealized QA instances should not be used to infer or extrapolate similarly high performance on more ambiguous instances. Auxiliary results suggest that the model may not be able to distinguish between these two situations with sufficient certainty. Stronger testing protocols and benchmarking may hence be necessary before such models are deployed in front-facing systems or ambiguous decision making with significant human impact.
Chinese Language and Literature Education and Humanistic Literacy Enhancement in Colleges and Universities under the Background of Education Informatization

Abstract Based on the background of education informatics, this paper uses natural language processing technology to analyze the teaching effect in the Chinese language and literature. By analyzing the basic methods of processing natural language, the CBOW model is constructed using text vectorization. Combined with the LDA model for Chinese language literature text, a keyword is automatically extracted. GRU is chosen as the master control unit of the information feature loop. The CBOW model is optimized using the gradient descent optimization algorithm, which improves the analysis efficiency of education and teaching. Relevant strategies for improving humanistic quality are proposed by analyzing the humanistic quality of Chinese language and literature majors in colleges and universities using natural language processing technology. The results show that the CBOW model performs better in analyzing the textual features of Chinese language and literature, and its MR value is 0.8007±0.0028 compared with the traditional neural network models such as RNN, CNN, etc. Among the strategies for improving humanistic qualities under the education of Chinese language and literature, the effect of strengthening the dissemination of cultural knowledge is 0.8. This study promotes the education of Chinese language and literature in colleges and universities to a certain degree, which is It is conducive to improving students’ humanistic literacy.
WUDA: Visualizing and Transforming Rotations in Real-Time with Quaternions and Smart Devices

The rising popularity of inertial sensing via smart devices is evident, finding use in multidisciplinary applications, such as gesture recognition and image stabilization. Amid the popularity of analyzing raw motion signals and Euler angles, we highlight quaternion rotations as a robust alternative for studying device orientation. Quaternions are a powerful mathematical tool for representing and affecting three-dimensional rotations. Their abstract nature, however, can make it difficult for researchers to visualize the data they provide. Mobile sensing rarely invents practical tools to experiment with this mathematical method. Since visualization effectively communicates data findings, we develop an open-source, real-time app, Wuda, that allows users to observe the orientation of smart devices via inertial sensing. Wuda helps users reduce dimensional complexity and intuitively study quaternion transformations. We demonstrate the practical nature of Wuda in the context of fitness tracking.
Peningkatkan Kemampuan Berpikir Kreatif Peserta Didik Kelas VIII SMPN 18 Makassar melalui Penerapan Media Interaktif ClassPoint dengan Model Discovery Learning (Studi pada Materi Sistem Ekskresi)

This study aims to determine 1) the level of creative thinking ability of class VIII students of SMPN 18 Makassar before and after the application of ClassPoint interactive media with the Discovery Learning model. 2) increasing the creative thinking skills of class VIII students of SMPN 18 Makassar through the application of ClassPoint interactive media with the Discovery Learning model 3) There is a significant increase in the average value of creative thinking skills after applying ClassPoint interactive media with the Discovery Learning model. This type of research is experimental research (experimental research) using the Pre-Experimental Design. The treatment is the application of ClassPoint Interactive media with the Discovery Learning model in the experimental class. The research population was all class VIII students at SMPN 18 Makassar for the academic year 2022/2023 which consisted of 10 classes with a total of 300 students. The research sample was determined by Purposive Sampling Technique so that class VIII8 was assigned with a total of 30 students. The instrument used in the study was a test instrument in the form of essay questions containing indicators of the ability to think creatively as many as 10 items. Data collection was carried out by giving a Pretest and Posttest. Data were analyzed with descriptive statistics and inferential statistics. The results of the descriptive statistical analysis of students' creative thinking abilities before application (pretest) were in the very less creative category with a value of 12.40 and after the application of ClassPoint interactive media with the Discovery Learning model (posttest) were in the moderately creative category with a value of 55.60. The increase in students' creative thinking skills is in the medium category with an N-Gain of 0.49. The results of inferential statistical analysis show that there is a significant increase in the average value of creative thinking skills after the application of ClassPoint interactive media with the Discovery Learning model.
PENGEMBANGAN SISTEM INFORMASI MONITORING PRAKERIN BERBASIS ANDROID DI SMKN 2 BARRU

This study aims: (1) to produce an Android-based internship monitoring information system, and (2) to determine the performance of an Android-based internship monitoring information system. This study used the Research and Development research method which was carried out at SMKN 2 Barru. The research data was obtained by giving a questionnaire to 30 respondents divided into 20 productive teachers and 10 industrial partners. The data analysis technique used is percentage descriptive analysis. The results of the analysis found an Android-based internship monitoring information system. The test results using the Black Box method on the system show that the system has good functionality, all functions can work properly and have met the requirement specifications. The test results show that the information system has been acceptable to users and can be used as a medium to find information about internship activities. For future Android-based apprentice monitoring information system developers, it is expected that all SMK in Barru Regency can use it. Recommendations for researchers who are interested in studying and studying more broadly should use different development and application methods.
Petrology, mineral chemistry and geothermobarometry of the Garmkhani-Meyham metamorphic complex (Qorveh-Kurdistan)

Petrology, mineral chemistry and geothermobarometry of the Garmkhani-Meyham metamorphic complex (Qorveh-Kurdistan)
RANCANG BANGUN ALAT PERMAINAN EDUKASI ANAK 4-6 TAHUN BERBASIS ANIMASI 3D DENGAN PENDEKATAN VISUAL ALAT TRANSPORTASI TRADISIONAL DAN MODERN

It is well known that early childhood is the initial stage that requires more intensive attention, because it is at this age that the fundamental educational process begins to build the basic framework of children's knowledge, attitudes and skills. Order in the educational process at this early age becomes the main competency to determine the sustainability of children's education. Educational game tools based on 3-dimensional animation with a visual approach to traditional and modern transportation are media facilities by integrating digital technology that has benefits and educational value for children, which previously used simulation media in the form of pazzel which was played conventionally. The utilization of this game tool can be through children's learning activities by playing digital simulations through the form of transportation equipment, intended to stimulate all aspects of religious morals, physical motor, cognitive, language, social emotional and art. The purpose of this research is to find out the design form of educational game tools and the stages in designing 3-dimensional animation through the form of traditional and modern transportation visual tools. The method used is R&amp;D with a design thinking approach. The result of this research is the creation of a 3-dimensional animation-based educational game tool with traditional and modern visual transportation tools.
Hubungan Self Control dengan Perilaku Academic Cheating dalam Sistem Pembelajaran Berbasis Digital pada Siswa

Students who have low self-control abilities in undergoing digital-based learning processes will make it easier for students to abuse opportunities and become one of the causes of academic cheating behavior. This study aims to determine the relationship between self-control and academic cheating behavior in a digital-based learning system for students at SMPN 13 Sinjai. The method used in this study is a quantitative method involving 132 respondents who are students of SMPN 13 Sinjai. The measuring instrument in this study uses a self-control scale and an academic cheating scale. The data analysis technique used in this research is the product moment correlation which is processed using the SPSS 24.00 for windows program. The results of this study indicate that there is a relationship between self-control and academic cheating behavior in digital-based learning systems for students of SMPN 13 Sinjai (p=0.039 &amp; r=-1.80). This means that there is a negative relationship between self-control and academic cheating behavior in digital-based learning systems for students at SMPN 13 Sinjai. The results of this study are expected to be a reminder for students to be able to improve their self-control abilities in the digital learning era and suppress academic cheating behavior.
Revolusi Ruang Hidup dengan Teknologi Smart Home

In recent years, there has been a significant increase in the adoption of smart home technology. From voice assistants like Amazon’s Alexa and Google Home to smart thermostats and security systems. Smart home technology is becoming more and more commonly used by modern society. The aim of this research is a review of smart home technology that can revolutionize our living space. The results of the review conclude that smart home is a technology that is increasingly being used. This smart home has many advantages, but also has some disadvantages that need to be considered. The development of this smart home is an interesting and potentially revolutionary way of living and how we interact with living space.
The influence of confabulations about the reasons for the choice on the formation of false memories

The article examines the causes of the choice blindness aftereffect on the formation of false memories. Several studies have shown that when individuals provide reasons for a choice they did not actually make, their memories shift towards the invented justifications (confabulations). The aim of this study is to contrast the explanation of the mnemonic aftereffect of choice blindness in terms of cognitive dissonance theory with explanations in terms of recency and verbalization effects. In the experiment, we compared two situations: one where participants justified evaluations contradicting their initial opinions, and another where they justified evaluations but attributed them to their partners’ opinions. It was hypothesized that if self-justification induces cognitive dissonance, participants who confabulated reasons for choices believed to be their own would exhibit more false memories regarding the original choice compared to those who believed they justified their partner’s opinion. The first stage involved participants evaluating the IQ of women based on their photos. In the second stage they had to explain the reasons for the evaluations (either considering it their own choice or partner’s). Half of the evaluations submitted for explanations contradicted the previously issued ones (low evaluations changed to high ones and vice versa). In the third stage, the participants had to remember the original evaluation. A change in the pole of perceived IQ judgments was measured. The results confirmed the presence of the choice blindness effect. The effect of false memories was found only in the group that considered the presented evaluations to be their own opinions.