Reviewerly/exHarmony huggingface dataset:
KESULITAN MEMBACA DAN MENULIS PADA SISWA BERKESULITAN BELAJAR DI KELAS TINGGI SD NEGERI BOJONG BARU

This study aims to describe reading and writing difficulties, factors that cause reading and writing difficulties, as well as teachers' efforts to help students who experience reading and writing difficulties in high grades in grade IV students at SDN Bojong Baru. The research was carried out using a qualitative approach with the subjects being fourth grade students at SDN Bojong Baru. Data was collected through observation, documentation and interviews. Data analysis is carried out through data reduction, display and verification. Based on the research results, it can be concluded that the forms of reading and writing difficulties in students with learning difficulties in high grades are disfluency in reading, errors in reading, deficiencies in visual memory, difficulty understanding sound symbols, illegible writing, late writing, missing or inverted letters and error in holding a pencil. The factors for difficulty in reading and writing are internal factors including hereditary factors, interest in reading and writing factors and motivation factors, while external factors include existing facilities at school and the family environment or where students live. Efforts made by teachers when dealing with students who have difficulty reading and writing, namely by providing remediation, using various learning media and reading and writing learning programs for students who are not yet fluent in reading and writing, especially in high classes, must be held in every school.
PENGEMBANGAN MEDIA GIFT BOX BERBASIS MULTILITERASI PADA PEMBELAJARAN PENEMUAN DI KELAS VI SEKOLAH DASAR

Multiliteracy is an effort to help students improve various skills in the 21st century. Multiliteration can be collaborated with interactive learning media such as Gift Box. Gift Box learning media based on multiliteracy can help students understand the material, one of which is science material. The aim of this research is to find out the process of developing Gift Box media, find out the suitability of the media and find out students' responses after using multiliteracy-based Gift Box media which is integrated with the discovery model for class VI students. This research is Research &amp; Development with the Lee &amp; Owens development model, which consists of five stages, namely needs assessment and start-to-finish analysis, design, development, implementation and evaluation. Through the validation stage, the results obtained were that the appropriateness level in terms of media was 89.25% and was in the very appropriate category, in terms of material, 91.4% was in the very appropriate category, and in terms of language, 79% was in the appropriate category. Then, after the revision was carried out, the researchers conducted product trials on 28 class VI students and based on the student response questionnaire, the results were 93% in the very good category. It can be concluded that the Gift Box learning media based on multiliteracy in discovery learning is suitable for use and has received a very good response from students.
ANALISIS KECERDASAN EMOSIONAL SISWA KELAS IV SD NEGERI 02 SUNGAI AYAK TAHUN PELAJARAN 2022/2023

This research is motivated by students who have not been able to recognize their emotions, manage them, motivate themselves, recognize friends' emotions, and build relationships with them at the right time. This study aimed to describe emotional intelligence in grade IV students of SD Negeri 02 Sungai Ayak's academic year of 2022/2023. This form of research is mixed methods. The subjects of this study were grade IV students totaling 32 students, and class teachers. The data collection tools used in this study were questionnaires, observations, interviews, and documentation. Based on the research obtained: 1) The average emotional intelligence of students in the learning process is 78% of students in the category of quite good. 2) Students' average emotional intelligence characteristics 72% of students with fairly good emotional intelligence characteristics. 3) The emotional intelligence of students influences that is, the supporting factor is environmental factors, while the inhibiting factor is the lack of motivational ability oneself. The emotional intelligence possessed by students varies. This is shown by uncontrolled anger, such as fighting, indifference, and being active but less adaptable to the environment. This research shows that the emotional intelligence of grade IV students of SD Negeri 02 Sungai Ayak is still quite good.
Assessing Students’ Perspective towards Language and Culture on a Multicultural Basis

Language is the expression and communication of ideas between human beings by means of speech and hearing the sounds spoken of heard among a given people over a period of time. Culture refers to the attainment and activities of any specific period, race, or people, including their implements, handicrafts, agriculture, economics, music, art, religious beliefs, traditions, language, and story. This study sought to assess the students’ perspective towards language and culture on a multicultural basis. It aimed to determine the perception of students towards language and culture on a multicultural basis. The study used the qualitative research design. The respondents of this study were the 188 grade 12 and 1st year college of education major in English students at the college of Education and Social Sciences of Mindanao State University at Naawan, Naawan Misamis Oriental, Philippines. A structured survey questionnaire composed of 6 questions was used and distributed accordingly. Letters of request to the participants and parents’ consent form were also considered in this study. This study used percentage to present the responses of the students. The result showed that Ninety-six percent of the students responded that like language, culture can be learned. Fifty-eight percent of them believe that too much use of technology can be a reason for people to forget and lose interest in their culture and adapt to some from other countries. Many of them affirmed the possibility of having one global culture. This study concluded that language and culture can be learned but there’s a possibility that culture can be lost and have one global culture due to technology.
Perceived Factors that Influence Instructors’ Use of Web-based Instruction in the Information Technology Programs

This study employed the descriptive and survey methods of research. It measures the extent of the relationship between the variables of perceived factors of using web-based instruction and the analyses of the instructors’ perceived factors of using web-based instruction and their use of web-based instruction. The researcher designed a database on the learning materials of instructors in teaching the major courses of the Information Technology Education programs. Also, this study analyzed the perceived factors related to the use of web-based teaching: first, the analysis of the instructors’ perceived factor is the administrative support which describes the different supports perceived to be offered or received from the academic affairs, college and department, training, and the perceived need for web-based instruction in the information technology programs in the higher education institutions. Second, instructors’ perceived factor is an urgency which also describes the rewards for teaching online, handling issues or problems with the technology, and the different kinds of pressure such as the students, colleagues, and administration, and likewise on the different kinds of technical problems. Finally, is the availability and preference, which also describes the level of comfort in using technology, availability of web-based instruction resources, preference for teaching online/web-based instruction, teaching using web-based instruction is a good idea, ability to have flexible scheduling, ability to have flexible scheduling, past success with other technologies, ability to have flexible scheduling.
Cloud accounting resource sharing platform to participate in the subject behavior game research

The participants of the cloud accounting resource sharing platform, resource providers and resource demanders, are the core factors that affect the development of the platform. Their behavior plays a decisive role in the speed and direction of the platform's development. Therefore, using an incomplete information static game model to analyze the game behavior between the platform and resource providers, and using an incomplete information dynamic game model to analyze the game behavior between the platform and resource demanders, the Nash equilibrium of both models can be obtained. It is known that the strategic choices of resource providers and resource demanders will affect the strategic choices of the platform, and then the factors affecting the Nash equilibrium are analyzed, and relevant suggestions are put forward to provide reference for the comprehensive development of the cloud accounting resource sharing platform.
An RRT* Optimization-based Path Planning Method for Ground Module of Air-ground Vehicle

Path planning is one of the core technologies to realize air-ground vehicle docking. In order to plan a smooth and collision-free path, an RRT* optimization-based path planning method for the ground module of the air-ground vehicle is proposed in this paper. Considering the planned path for docking should be collision-free, effective and smooth, the path planning problem is formulated as an optimization problem with the optimization objective and constraints, in which kinematics constraints are considered to smooth the path and collision-free constraints are accurately formulated. For that the optimization problem is nonlinear, a reasonable and feasible initial guess generated by modified RRT* with Bezier curve is provided to assist in solving the optimization problem. The proposed method is verified under the general docking scene. The results show that the method can plan a smooth, safe and efficient path, which can effectively improve the safety and efficiency of the air-ground vehicle docking task.
Automatic Wiring of Cables for Complex Electromechanical Products Based on Multi Rules Particle Swarm Optimization

Aiming at the problem of time-consuming and labor-intensive routing path design in the cable layout design of complex mechanical and electrical products, an automatic routing technology for complex mechanical and electrical products based on multi rule particle swarm optimization algorithm is proposed. First, analyze the cabling environment of electromechanical products, and complete the definition of cabling space. Through pose transformation, the problem of interference detection between wiring path and internal parts of mechanical and electrical products is solved; In order to make full use of the routing space, the multiple rules of particles are introduced into the particle swarm optimization algorithm, which improves the searching ability, solving speed and cable routing quality of the algorithm. Through simulation analysis, the superiority of the algorithm is proved by comparison with other algorithms. The example shows that the routing path generated by this method does not interfere with the components in 3D space, and the path is smooth without sudden change points, which provides a new idea for the automatic cable layout of complex electromechanical products.
Few-Shot Person Re-identification Based on Hybrid Pooling Fusion and Gaussian Relation Metric

In practical scenarios, person re-identification tasks often face the problem of insufficient available pedestrian images. In response to this problem, a few-shot person re-identification method based on hybrid pooling fusion and Gaussian relation metric is proposed. Firstly, a hybrid pooling fusion method is proposed. In this method, max pooling and average pooling layers are introduced after each feature extraction layer, and the adaptive weight allocation mechanism is introduced in the fusion of post-pooling and non-pooling features, which realizes more representative pedestrian feature extraction. Secondly, a composite metric method of Gaussian relation metric is proposed in the metric module. This method realizes the comprehensive metric of pedestrian features in kernel space and relation level and improves the reliability of pedestrian similarity measurement. Finally, experiments on three small datasets, Market-Tiny, Duke-Tiny, and MSMT17-Tiny, demonstrate the effectiveness of the proposed method.
Intra-variance Guided Metric Learning for Face Forgery Detection

Since facial manipulation technology has raised serious concerns, facial forgery detection has also attracted increasing attention. Although recent work has made good achievements, the detection of unseen fake faces is still a big challenge. In this paper, we tackle facial forgery detection problem from the perspective of distance metric learning, and design a new Intra-Variance guided Metric Learning (IVML) method to drive classification and adopt Vision Transformer (ViT) as the backbone, which aims to improve the generalization ability of face forgery detection methods. Specifically, considering that there is a large gap between different real faces, our proposed IVML method increases the distance between real and fake faces while maintaining a certain distance within real faces. We choose ViT as the backbone as our experiments prove that ViT has better generalization ability in face forgery detection. A large number of experiments demonstrate the effectiveness and superiority of our IVML method in cross-dataset evaluation.
Mind and Time

Mind and time are elusive. No grand theory has yet emerged that would have provided a fundamental solution to the many puzzles and perplexities associated with the two terms. There is even no consensus on the use of the concepts “mind” and “time.” This situation is neither a semantic nor a theoretical disaster. Instead, it leads to the challenging interdisciplinary task of elaborating the connections between neuroscientific findings, psychometric approaches, and investigations in the disciplines of psychology, philosophy of science, epistemology, philosophy of language, and philosophy of mind. The contributions in this volume explore in an interdisciplinary division of labor the semantic, systematic, and empirical constellations of mind and time. They dispense with grand theory and limit themselves to tracing those contours of mind and time accessible with their respective methods from which, in the end, a larger picture can emerge. <bold>With contributions by</bold> Marius Bartmann | André Beauducel | Ulrich Ettinger | Charlotte Gauvry | Bert Heinrichs | Michael Herzog | Christoph Horn | Kristof Keidel | Carsten Murawski | Dieter Sturma
Impact of Financial Integration on Economic Development: A Dynamic Panel Quantile Regression Analysis

This paper investigated the impact of financial integration on economic development using the dynamic panel quantile estimator on a sample of 95 countries from 2004-2019. The results showed that the impact of financial integration on economic development varied across income levels. This study found that financial integration impacted economic development negatively in middle and high-income countries. However, financial integration did not significantly affect economic development in low-income countries.
On Asymptotic Convergence Rate of Evolutionary Algorithms

&lt;p&gt;This paper presents theoretical studies on Asymptotic Convergence Rate (ACR) for finite dimensional optimization. Given the problem function (fitness function), ACR measures how fast an iterative optimization method converges to the global solution as the number of iterations increases to infinity. If less than one, it determines fast exponential convergence mode ( known as linear convergence in various contexts). The presented theory extends the previous studies on Average Convergence Rate, a related convergence rate measure. The main focus is on the question how the change of problem function may influence the value of ACR and what is the relation between convergence rate in the objective space and in the search space. It is shown, in particular, that the ACR is the maximum of two components, one of which does not depend on the problem function. This provides the lower bound for convergence rate and implies that some algorithms cannot converge exponentially fast for any nontrivial continuous optimization problem. Furthermore, among other results, it is shown how the convergence rate in the search space is related to the convergence rate in the objective space if the problem function is dominated by some polynomial. We discuss various examples and numerical simulations with use of (1+1) self-adaptive evolution strategy and other algorithms.&lt;/p&gt;
Zero-shot demographically unbiased image generation from an existing biased StyleGAN

&lt;p&gt;Face recognition systems have made significant strides thanks to data-heavy deep learning models, but these models rely on large privacy-sensitive datasets. Recent work in facial analysis and recognition have thus started making use of synthetic datasets generated from GANs and diffusion based generative models. These models, however, lack fairness in terms of demographic representation and can introduce the same biases in the trained downstream tasks. This can have serious societal and security implications. To address this issue, we propose a methodology that generates unbiased data from a biased generative model using an evolutionary algorithm. We show results for StyleGAN2 model trained on the Flicker Faces High Quality dataset to generate data for singular and combinations of demographic attributes such as \textit{Black and Woman}. We generate a large racially balanced dataset of 13.5 million images, and show that it boosts the performance of facial recognition and analysis systems whilst reducing their biases. &lt;/p&gt;
ENHANCING STUDENTS’ SPEAKING ABILITY THROUGH SELF TALK STRATEGY (STS)

The primary aims of this study were to assess the improvement in students' speaking skills following the implementation of the Self Talk Strategy (STS) and to evaluate the outcomes of teaching students' speaking achievement both before and after the utilisation of the Self Talk Strategy (STS). The present study employed a quantitative approach and utilised a pre-experimental design with a single group, employing both pre-test and post-test assessments. The population for this study consisted of 10th grade students from SMA Negeri 3 Pemalang. A sample of 34 students was selected from class X.5 to represent the population. The research instrument utilised in this study was a spoken test, which consisted of a pre-test and a post-test. The findings of the data analysis revealed statistically significant disparities between the pre-test and post-test scores of the students. The mean score for speaking students on the post-test (M = 12.82) was found to be significantly higher than their pre-test score (M = 10.06). Furthermore, the t-score is considered to be smaller than the critical value from the t-table at a significance level of 0.05%. The alternative hypothesis (Ha) was deemed statistically significant, leading to the rejection of the null hypothesis (H0). The findings suggest a notable change in the students' classroom discourse patterns pre- and post-implementation of the self-talk method. Based on the findings and subsequent discussion of the research, it was determined by the researcher that the implementation of the Self-Talk Strategy (STS) resulted in an enhancement of the students' oral communication skills.
E-Tourism Developments in Indonesia District

Tourism is a place that is crowded by people from within the country and abroad, with the existence of a tourist area it can advance the welfare of the surrounding community. Ulubelu District has a very large tourism area, if the existing facilities and infrastructure are developed further, it is certain that the increase in tourism in Ulubelu District will increase. Utilization of Information Technology can advance tourist areas, so that tourist areas can be known by tourists who want to visit Ulubelu District. The tourist route application is designed using the Android platform, and the method used is a data collection method that includes observation and literature. The Route UBL application is designed with the concept of integrating tourist information with a smartphone using GPS and Map to find out the distance traveled and travel time so that tourists can more easily calculate the travel time to the desired tour
Kindergarten in the Digital Era: Developing Engaging Android-Based Educational Tools for Letters and Numbers

Technological developments have had a huge impact on the world of education. One of them is learning media. The development of computer technology has been able to display information in various forms including multimedia. Learning media is very important in helping students understand the material provided. With the development of learning media it is hoped that kindergarten children can easily understand letters and numbers. The purpose of this research is to develop interactive learning media to recognize letters and numbers based on Android for Kindergarten. This research was conducted at Cahaya Wonoasri Kindergarten Madiun. This research is development research with ADDIE model. Data collection techniques used in the form of observation interviews and questionnaires. Questionnaires are used to collect expert validation data. The results of the development of this learning media are in the form of applications that can be run on Android cellphones. Learning media is made in such a way that it is attractive to children. The results of the study showed that the results of the validity test of the content expert on learning media received good qualifications. The findings from the results of the validity test of the learning design expert got a good qualification. While the results of the validity test of learning media experts obtained very good qualifications and the results of individual trials received good qualifications
Study of drone self-noise estimation for low frequency noise measurement by multicopter drone

We are developing low-frequency noise measurement system with multi-copter type drone. The biggest obstacle to measurements is drone self-noise. Therefor the system records environment noise and propeller rotation timing signal and removes the self-noise from the recording offline. For a high cancellation performance, accurate self-noise estimation is very important to remove self-noise from recordings. Focusing on the reproducibility of the self-noise for each rotation, we proposed a method for estimating self-noise at arbitrary rotations during flight from prerecording self-noise data. When the proposed system was mounted on a toy drone and its self-noise cancellation performance was evaluated, high cancellation performance was obtained in the low frequency region. In the study, In this paper, we report a method and its evaluation for estimating the self-noise of the propeller 1 axis from the rotation signal of the propeller axis of the drone.