Reviewerly/exHarmony huggingface dataset:
THE USE OF THINK TALK WRITE STRATEGY IN TEACHING WRITING

“Think-Talk-Write (TTW)” Strategy is a cooperative learning mode to make teaching and learning process easier. This research used the qualitative research. The target population, in this study, was the English teacher and the Eighth grade students of MTs al-Azhar Toket Proppo Pamekasan the members of population is 20 students. Data were obtained firstly from the observation sheet. , the writer also collected the data by interviewing the English teacher of the Eighth Grade. In analyzing the data, the researcher used descriptive qualitative Strategy in order to make it easier for the readers to get the description about theuse of “Think Talk Write Model” and its strengths and weaknesses.The writer analyzed the data in three basic and simple steps. Some strengths teaching writing using TTW model such as: It makes students to be independent, it makes students to be cooperative, to build a good teamwork. So, they help each other, it makes students think smarter, speak fluent and write systematically. Meanwhile the weaknesses are, When students work in ground, some of them are easy to lose their own skill and confident because they are dominated by others.
THE USE OF DIALOGUE TECHNIQUE IN SPEAKING AT SMP TAHFIDZ PAMEKASAN

The dialogue is good way to get students practice saying target language. It also helps the students become more active to talk each other in teaching learning process. The researcher used descriptive qualitative research. The participant of the study were the English teacher and the students of SMP Tahfidz Pamekasan that consisted of 16 students. In collecting the data, the researcher uses observation, and interview. From the result of observation and interview, this research showed the implementation of dialogue technique. The teacher implement the dialogue with presentation of brief dialogue or several mini dialogue, oral practice of each utterances in the dialogue, question and answer based on the dialogue topic and situation in the dialogue, and evaluation of learning. The response with the highest percentage is interested that is 43,75 % with the seven participants. The second place is 31,25 % of the respondents or five participants which expressed hesitation, and 25% of respondents or four students who did not interested to the dialogue technique.
Analisis Pengatalogan Deskriptif di Perpustakaan Madrasah Aliyah Swasta (MAS) PP Jabal Rahmah Koto Baru Sungai Tarab Ditinjau dari Standar AACR 2

Abstract : The emphasis of this research is on the standard of descriptive cataloging of library materials as seen from the AACR 2 guidelines at the Jabal Rahmah Koto Baru MAS Library, Sungai Tarab. This study aims to describe descriptive cataloging standards of a collection, describe the use of catalogs as a means of information retrieval, and describe the obstacles faced in cataloging activities at the MAS Jabal Rahmah Koto Baru library, Sungai Tarab. The research method used is descriptive with a qualitative approach. Data collection techniques by observation, interviews, and documentation. The data analysis technique in this study starts from data reduction, data presentation and conclusion drawing. The validity of the data in this study used data triangulation, source triangulation and technical triangulation. The result of this research is that the library of MAS Jabal Rahmah Koto Baru Sungai Tarab has not followed the AACR standards that have been set. The use of catalogs by users at the Jabal Rahmah MAS library has not been utilized. The obstacles faced by the library are the lack of personnel (HR) and lack of understanding of librarians regarding cataloging and other processing, as well as insufficient library space or not following the standards of the school library room.Keywords: Cataloging Standards, MAS Jabal Rahmah Library, Catalog Utilization
Development of Animaker-Based Animation Video Media on Momentum and Impulse Materials

Technological advances have been so advanced, it is no longer in place if the delivery of educational messages was still verbal. One of the information and communication technology media that can reach the general public and the most popular is the use of learning media in the form of animated video
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages

Complex software systems have a network of dependencies. Developers often configure package managers (e.g., npm ) to automatically update dependencies with each publication of new releases containing bug fixes and new features. When a dependency release introduces backward-incompatible changes, commonly known as breaking changes , dependent packages may not build anymore. This may indirectly impact downstream packages, but the impact of breaking changes and how dependent packages recover from these breaking changes remain unclear. To close this gap, we investigated the manifestation of breaking changes in the npm ecosystem, focusing on cases where packages’ builds are impacted by breaking changes from their dependencies. We measured the extent to which breaking changes affect dependent packages. Our analyses show that around 12% of the dependent packages and 14% of their releases were impacted by a breaking change during updates of non-major releases of their dependencies. We observed that, from all of the manifesting breaking changes, 44% were introduced in both minor and patch releases, which in principle should be backward compatible. Clients recovered themselves from these breaking changes in half of the cases, most frequently by upgrading or downgrading the provider’s version without changing the versioning configuration in the package manager. We expect that these results help developers understand the potential impact of such changes and recover from them.
The Implementation of Freedom Writers Diary Utilized in Speaking for Debate Class

The aim of this study is investigating how the implementation of Freedom Writers Diary utilizes in speaking for debate class. The participants who involved in this research are 15 students of English Education Department Student University of Muhammadiyah Surabaya. The result of the implementing Gruwell stages teaching method, which is Freedom Writers Diary to the students of English Education Department student in a speaking for debating class are: total of 15 students, there are 9 students has positive comment and 6 students has negative comments. From the result, we can see the implementation of that method more students have positive comment about reading a book, make a movie and sharing is a good way to practice speaking for debate. Moreover, the social pedagogy of the students must be considered as one of the elements which influence students comfortable.
Nilai Budaya Jawa dalam Antologi Puisi Tegalan Gendu Gendu Rasa Karya Dosen dan Guru Pantura Serta Implikasinya terhadap Pembelajaran Bahasa Indonesia di SMA

The purpose of this study describes the value of Javanese culture in the Tegalan GenduGendu Rasa Poetry Anthology by Pantura Lecturers and Teachers and describes the implications of research results on Indonesian learning in high school. This research is the source of the data in the form of an Anthology of Tegalan Gendu-Gendu Rasa Poems by Pantura Lecturers and Teachers. The form of data for this study is the passage of verses in the lines of poetry. This research uses a qualitative descriptive approach. The technique of providing data in this study is to use reading techniques, and note-taking techniques as an advanced technique. Data analysis in this study used the presentation of the results of data analysis using informal methods. . The results of this study show that there are 37 Javanese cultural values which include (1). the value of beliefs, (2). achievement value, (3). the value of patience, and (4). alignment value. The results of this study can be implied in Indonesian language learning in high school class X even semester in basic competencies (KD) 3.17. and basic competencies or (KD) 4.17.
DC@KSU Datasets

Introductory political science courses are usually considered Gateway courses to student success in college, yet those courses often use minimal high impact practices.This study investigates a Course-based Undergraduate Research Experience (CURE) as a means to increase students' self-assessed learning gains and motivation to acquire critical thinking skills.This study used a quasi-experiment across two online sections of POLS 1101, American Government, taught at a large public Southeastern university.The experimental section made use of a CURE, and the control section did not.Pre-and post-surveys indicated significant differences in selfassessed learning gains.The section with the CURE showed more confidence and a better understanding of political science.No difference was found in motivation for acquiring critical thinking skills.
Development of cryptoassets and their wider impact

The market of cryptoassets, since the launch of their very first representative, namely bitcoin, has undergone dynamic development. A growing number of entities have started publishing official positions on cryptoassets, mainly cryptocurrencies, often presenting conflicting views, and even have made initial attempts to use them in practice. Additionally, more and more proposals for both new versions of already existing cryptoassets and completely new types of cryptoassets have been defined and introduced. Therefore, the aim of this chapter is to discuss the development of the cryptoassets’ market, with a focus on emerging trends, ongoing changes and possible prospects for further development. The primary research tools used in this chapter are the inductive and deductive methods. In this chapter, the following research thesis is adopted and proven: cryptoassets, over time, have become the blockchain-based, digital representations of already existing assets.
A Case Study on ESR Project Participation Experience of University Students: Focused on ‘Urban Innovation School in Busan’

Objectives This study aims to investigate the learning of university students who had Education for Social Responsibility practice experiences participating in Urban Innovation School in Busan project through a descriptive case study. The learning of research participants who practiced ESR was analyzed by a qualitative method to explore implications for ESR research, education, and practice. Finally, this study aims to identify the meaning and value of ESR.&#x0D; Methods In order to achieve the research purpose, Urban Innovation School in Busan project was selected as a case to be analyzed. In this study, a descriptive case study was employed. The results of this study were derived based on the qualitative analysis of the in-depth interview data, and additionally, the research team performed participant observation and analysis of document data on the research participants.&#x0D; Results In order to achieve research objectives and derive research results on research problems, this study analyzed in detail the learning that research participants experienced in the process of practicing ESR based on a descriptive case study. The results of this study were as follows. First, the participants experienced independent learning and growth through the application of knowledge and skills by practicing ESR. Second, the participants experienced a change of consciousness about social issues by practicing ESR. Third, it was found that the unstructured problem-solving ability of the participants was increased by practicing ESR. Fourth, the perception of influence of individuals on society was improved.&#x0D; Conclusions This study confirms that the experience of ESR practice and participation can promote the continuous growth of members of society and the realization of self-actualization. It was confirmed that the university's ESR practice project is an opportunity to seek solutions to various and complex social problems that cannot be predicted in modern and future society.
A Study on the Discussion Class Model Based on Flipped Learning: The Case of the Students of Korean Language Institute of Education

Objectives This study aims to develop a teaching instructional model to improve the discussion ability of students of Korean Language Institute of Education in university before admission using flipped learning.&#x0D; Methods Literature research was conducted through prior research papers related to discussion and flipped learning, and based on the analysis results, we tried to present a discussion class model suitable for learners of the Korean Language Education Center.&#x0D; Results A discussion teaching model that includes flipped learning into the PARTNER model, and class plan for each stage was developed. The PARTNER model includes following steps: Preparation, Assessment, Relevance, Team Activity, Nub Lecture, (Individual, Team) Evaluation and Reflection.&#x0D; Conclusions Unlike previous studies, a special course model for Korean language school students is presented, but it is effective in that it can be continuous as an extension of language classes and can be adapted to undergraduate classes step by step through discussion classes before entering the university. It is also meaningful that the traditional teaching method was carried out in consideration of the learners' abilities, and it was organized so that they could be practiced systematically through three writing activities.
Safety-Critical Control of Quadrotor UAVs with Control Barrier Functions

For quadrotors, imposing multiple dynamic constraints on the state simultaneously to achieve safe control is a challenging problem. In this paper, a cascaded control archi-tecture based on quadratic programming method is proposed to generate minimally-invasive and collision-free control actions. This architecture consists of exponential control barrier functions(ECBFs) to construct a non-conservative forward invariant safety region and geometric nonlinear PID attitude control with considering quadrotor dynamics to avoid the singularities of Euler-angles and the ambiguity of quaternions. The feasibility and the effectiveness of the proposed cascaded control architecture is demonstrated through numerical simulations.
Obstacle Avoidance Algorithm for Robot Based on the Transformation of Master and Slave Tasks

The obstacle avoidance motion and thus the end path tracking motion of the robot compete with one another in the robot obstacle avoidance planning problem when the obstacle affects the robot's end motion. A master-slave task transformation-based obstacle avoidance algorithm is suggested as a solution to this issue. In order to reduce the computational load, the manipulator elements that might collide with obstacles are initially screened and eliminated using a vector projection method, which also unifies and simplifies the obstacle environment. A conversion variable is used in the obstacle avoidance problem's final solution. A smooth and continuous priority conversion between the trajectory tracking motion and the collision avoidance motion of the robot end is achieved in response to changes in the real-time minimum distance. In order to reduce the terminal trajectory error, an error adjustment coefficient is created to report back the actual trajectory of something like the terminal obstacle avoidance to the tracking function in real-time. According to the simulation results, the end effector can reliably avoid obstacles when they unexpectedly arrive on its expected task trajectory and when they are within roughly 0.02 meters of it. This ensures that the mechanical arm will be able to reach the target position precisely.
A Study on the Major Achievements and Direction of the 30-Year Diplomatic Relations between Korea and China

This study aims to present a new plan to improve Korea-China relations through analysis of major achievements and problems through Korea-China diplomatic relations on the 30th anniversary of Korea-China diplomatic relations. The 1992 Korea-China diplomatic relations were a combination of the end of the Cold War, China's reform and opening policy, and Korea's “Northern Policy” promotion. Since then, Korea-China relations have been evaluated as a bilateral relationship that has made unprecedented in economic trade and social culture. However, Korea-China relations are still unstable due to lack of political trust, and the complexity of the bilateral relationship is increasing due to various factors, but Korea and China should actively promote the quality of bilateral economic cooperation, strengthen strategic communication and cooperation on the Korean Peninsula, and strengthen trust as good neighbors, friends, and partners.
An Empirical Study on the Use of Digital Technologies to Achieve Cost-Effectiveness in Healthcare Management

Objectives: Healthcare cost reduction is one of the major challenges of the current era. This study was based on the general system theory-based view to assess the significance of sensing communication technologies and processing actuation technologies in improving healthcare quality, leading to cost reduction. Moreover, the contingent rule of healthcare supply chain management in enhancing the influence of improved quality on healthcare cost reduction was also empirically tested. Methods: The sample of the study comprised 337 middle and senior healthcare managers employed in various government and private hospitals and health institutions in Jakarta, Indonesia. The administrative departments of each hospital and health institution was visited to take their consent to conduct this survey at their clinical and non-clinical departments. The data collected was analyzed using SmartPLS ver. 4 software. Results: Results reveal a significant direct and indirect influence of sensing communication technologies and processing actuation technologies on achieving cost-effectiveness in the healthcare sector, in the presence of perceived quality improvement as a mediator. However, the strength of the associations varied and was based on highly reliable and familiar nature of sensing communication technologies compared to processing actuation technologies which were emerging and gaining popularity in recent years. Conclusion: Considering the healthcare cost as a critical factor based on limited resources in emerging economies, healthcare institutions/centers should use digital technologies to achieve cost-effectiveness for providing healthcare facilities in the industry 4.0 era.
Object recognition from enhanced underwater image using optimized deep-CNN

Object detection from underwater sea images based on deep learning techniques provides preferable results in a controlled environment. Yet, these techniques experience some challenges in detecting underwater objects due to color distortion, noise, and scattering. Hence, enhancing the underwater imaginary is important for accurately determining the objects under water. This research presents a deep learning approach for perceiving underwater objects from enhanced underwater images. Very Deep Super-Resolution Network (VDSR), which exhibits a higher visual quality, is utilized for improving the underwater image quality, thereby it is sufficient for object detection. Then, the object is detected from the enhanced underwater image through the proposed Border Collie Flamingo optimization-based deep CNN classifier (BCFO-based deep CNN). The developed BCFO-based algorithm is the main highlight of the research, which effectively tunes the classifier’s hyperparameter. The evaluation is established using the UIEB and DUO datasets on the basis of performance standards, such as specificity, accuracy, and sensitivity. When the training percentage is 80 and the [Formula: see text]-fold is 10, the suggested model achieved accuracy results of 93.89% and 95.24%, sensitivity results of 95.93 and 97.29%, and specificity results of 98.64% and 99%, which is very efficient compared to some existing approaches.
Caching Hybrid Rotation: A Memory Access Optimization Method for CNN on FPGA

Custom computing architectures on field programmable gate array (FPGA) platforms are a viable solution to further accelerate convolutional neural network (CNN) inference. However, due to the large size feature map matrix data, the optimization of CNN feature maps storage computing on FPGA remains a challenge. To overcome these challenges, a FPGA-oriented memory access optimization method for CNN is proposed. Firstly, the feature map partition strategy is used to group the feature map efficiently. Second, the input and the output caching rotation methods are employed in adaptive memory access mode. Third, a caching hybrid rotation method is proposed to optimize memory access performance and can effectively reduce the access time of the CNN feature map. Experimental results based on SkyNet and VGG16 show that the inference speed of the proposed model is accelerated by 7.1 times compared with the previous conventional memory access optimization for CNN on FPGA. Through the evaluation of computational energy efficiency, our method can be improved by 6.4 times compared to the current typical accelerators.
A Detection Method of Temporally Operated Videos Using Robust Hashing

SNS providers are known to carry out the re-compression and resizing of uploaded videos/images, but most conventional methods for detecting tampered videos/images are not robust enough against such operations. In addition, videos are temporally operated such as the insertion of new frames and the permutation of frames, of which operations are difficult to be detected by using conventional methods. Accordingly, in this paper, we propose a novel method with a robust hashing algorithm for detecting temporally operated videos even when applying resizing and compression to the videos.
Ising Machine-Based Similar Region Search Using Feature Histograms

We propose a novel algorithm for finding a similar region in images using Ising machines, which are a new type of non-von Neumann computers that specialize in solving combinatorial optimization problems. Applications of Ising machine are expected to be promising in diverse fields such as media processing and delivery. To leverage Ising machine-based approaches, a problem must be formulated in a quadratic unconstrained binary optimization (QUBO) form. In this study, to unleash the potentials of Ising machines in image processing, we present a method for formulating a similar region search as a QUBO problem. Experiments show that the QUBO-based algorithm realizes the detection of similar regions in accordance with policies for the similarity between images and the clumpiness of detected regions.
Secure Charging Scheduling Strategy for Electric Vehicles Based on Blockchain

In the Vehicle-to-grid (V2G) network, two-way energy transactions can be performed between electric vehicles (EVs) and charging stations (CSs), which are an important technology to support greener and energy-saving networks. As the EV ownership rate continues to rise, the unbalanced loads of CSs in some regions may cause undermine the stability of the power grid system. This paper proposes a CS matching algorithm based on an incentive mechanism to intelligently schedule electric vehicle charging activities for regional load balance. In addition, we propose a blockchain-based anonymous identity authentication scheme to enable EVs, CSs, and the utility data center (UDC) to perform secure mutual authentications to prevent identity privacy leakages. Simulation results show that the peak-to-valley ratio of the algorithm proposed in this paper can reach 75% and approximately 25% higher than the other schemes. It can optimize the charging behavior of electric vehicles and effectively balance the load between the CSs in the area. The security analysis also demonstrates that the scheme can ensure power transactions’ security by protecting identity privacy and preventing eavesdropping.