Reviewerly/exHarmony huggingface dataset:
Effects of Self-Directed Learning Readiness and Social Intelligence on Career Preparation Behavior of Nursing Students who Experienced Distance Learning in COVID-19

Objectives This study is to identify the degree of self-directed learning readiness, social intelligence, career preparation behavior and to confirm the effects of self-directed learning readiness, social intelligence on career preparation behavior of nursing students who experienced distance learning in COVID-19.&#x0D; Methods Data were collected from December 13 to December 23, 2022 using a structured questionnaire targeting 175 3rd and 4th grade nursing students in 3 regions where convenience samples were extracted. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and hierarchical regression analysis using the SPSS/WIN 27.0 statistical program.&#x0D; Results Self-directed learning readiness had a statistically significant positive correlation with social intelligence (r=.54, p&lt;.001) and career preparation behavior (r=.52, p&lt;.001). Social intelligence also had a statistically significant positive correlation with career preparation behavior (r=.41, p&lt;.001). As a result of hierarchical regression analysis, the factors significantly affecting career preparation behavior were self-directed learning readiness (β= .37, p&lt;.001), social intelligence (β=.19, p=.014). The overall explanatory power of these variables was 28.0%.&#x0D; Conclusions Development and application of various programs that can improve self-directed learning readiness and social intelligence of nursing students are necessary for career preparation behavior.
Development of children’s play observation model based on ‘criticism’ for early childhood teachers

Objectives The purposes of this study were to develop an observation model for children’s play based on ‘criticism’ for early childhood teachers.&#x0D; Methods After analyzing the literature and previous studies related to criticism, play observation, and observation model development, the purpose and theoretical basis for the drafting of the model were prepared, and using the concept map method for 30 early childhood teachers, the constructive concept of the model draft was derived. The model draft constructed in this way was verified for content validity by 10 early childhood education experts and 10 early childhood teachers. The model draft was applied to 12 early childhood teachers on-site about 10 times from June to July 2021, and the final model was finalized after correcting and supplementing the contents.&#x0D; Results This model regards the observation of children's play based on ‘criticism’ as a formal process of reading the artistry and interpreting the meaning in play, and that the early childhood teachers who practice it should have the opportunity to self-examine, correct, and strengthen themselves. The purpose of the model was to foster early childhood teachers' sense of play, improve their critical writing skills, and form an eye for self-reflection on play observation. The operating procedures and contents are ‘becoming an observation tool’ including checking thoughts and perceptions as an observation tool, checking writing, ‘connoisseurship’ including detecting play and recording play, and interpreting together with interpreting play. It consists of ‘critique’ that includes, and ‘reflection’ that includes evaluating and formulating. As for the points to consider when using the model, it was proposed to use it flexibly according to the teacher's context, focus on the stage of criticism and reflection rather than discernment, and use it to enhance the professionalism of teachers at the level of early childhood education institutions.&#x0D; Conclusions The model developed in this study is significant in that it can lead to a change from observation centered on recording activities to observation centered on semantic interpretation. In addition, it can be used to prepare a practical method for observing children's play utilizing the context of the early childhood classroom.
A Study on Teacher's Perception of the Utilization of EduTech in High School Beauty Education

Objectives This study aims to find teachers’ perceptions of EduTech utilization and suggest the requirement of activating EduTech in high school beauty education.&#x0D; Methods We surveyed 50 vocational high school beauty teachers from February to March, asking about preparation, requirement, satisfaction with EduTech application to lectures, and then frequency analysis, descriptive statistics, one-way analysis of variance, and independent sample t-test were conducted.&#x0D; Results To apply EduTech to lectures, teachers perceived the necessity of supporting materials for practice as the most important, followed by information acquisition and preparing teaching materials. To practically use EduTech for class activities, creating the environment for EduTech was significant, and the digital devices needed to contribute. Because teachers’ ability to design lessons affects the quality of EduTech education, customized training for teachers is required. Teachers who have experienced EduTech training perceived that the EduTech class is necessary more than those who have not.&#x0D; Conclusions Members need to change their perceptions, transforming into the digital educational environment. That’s why sufficient training opportunities that can break up the initial unwillingness to use EduTech should be provided to teachers. Customized training is needed to improve teachers’ ability to design lessons and media utilization. This study has significance in that we could be aware of how teachers perceive EduTech, and it suggests the necessity of specific support and educational discussion for EduTech activation at high school.
DISCOURSE ANALYSIS: ADJACENCY PAIRS ANALYSIS OF CONVERSATION BETWEEN NAJWA SHIHAB, SULE AND ANDRE ON "THE BEST OF INI TALKSHOW" EVENT

Conversation is one of our activities in communicating. As social beings, it isimportant for us to be able to interact with each other in order to strengthen arelationship. To understand more deeply the conversation, it can be done with ananalytical model. One of the analyzes that we can use is the analysis of adjacency pairswhich according to Yule is included in the study. Adjacency pair is a two-part exchangewhere the first utterance is functionally dependent on the response of the secondutterance. Using adjacency pairs can help us to more easily analyze the conversationsor communications that we do. This study aims to determine the feedback between theconversations that have been carried out. In a conversation there is a need for reciprocitybetween the questioner and the answerer so that the conversation can be said to go well.Data collection is done by observing and watching methods. In short, the results of thisstudy are useful as input for people who are having conversations. In this research,Conversation Analysis Theory is used to analyze a talk show between Najwa Shihab,Andre and Sule on "The Best Of Ini Talkshow"
AN ANALYSIS OF JARGON IN THE MOBILE LEGEND ONLINE GAMES

Sociolinguistics and language are closely related. Sociolinguistics studies speakers and listeners of languages by studying various aspects. In this attachment between social and language, the application taken is sociolinguistics in jargon. Jargon is a special term used in a certain scope. Based on this research, it is known that researchers found various types of jargon. Jargon is not only special words that exist within the scope of society, but is also found in online games. In this study, the Mobile Legend Online Game is the object of analysis chosen by the researcher. Data collection and completion of analysis using a qualitative descriptive research type. The output of this study is a sociolinguistic analysis of the meaning of jargon in the Mobile Legend Online Game, using data reduction techniques, data display, and conclusion verification. The data taken is also based on terms that are often used by users of this game to communicate with fellow teams. Researchers have found 16 jargons that have denotative meanings and 10 jargons that have connotative meanings in the Mobile Legend Online Game. With the results of this study, the researcher hopes that this research can become significant data for the linguistic community and can also be a source of data, data benchmarks, and comparisons for future researchers, especially research on sociolinguistics. Based on this research, it is hoped that the results can add insight to readers about the meaning of jargon in various game situations and how it is used in conversations among users of the Mobile Legend Online Game.
DEVELOPING ENGLISH LEARNING MATERIAL OF FRONT OFFICE FOR 11TH GRADE STUDENTS VOCATIONAL HIGH SCHOOL OF TOURISM MAJOR AT SMKN 2 SINGARAJA

This study aimed at developing English learning materials for the front office of 11th grade students. ESP-based goals in teaching English were mastery of English language skills specifically for students in the field of study following the program of study chosen by the students previously. This study employed the D&amp;D model proposed by Richey and Klein (2014) with the ADDE steps. The subjects of this study were front office teachers and students of 11th grade, especially in class XI AP 5 conducted at SMKN 2 Singaraja and the object of this study was the English materials of the front office. Interviews with teachers, administrating questionnaires, and document analysis were used to collect the data. The data were analyzed qualitatively and quantitatively. The results of the study showed that the English Learning Material of Front Office for 11th Grade Students Vocational High School of Tourism Major at SMKN 2 Singaraja was categorized as "very good" material. It was taken from the result of the expert judgment which was the expert 1 provided value "98" and the expert 2 "98". Based on the evaluation phase judged by two experts, the learning materials conducted was appropriate to be used by students. Keywords:Learning materials, ESP-Based goals, front office material.
DEVELOPING ENGLISH LEARNING MATERIALS FOR HOUSEKEEPING FOR ELEVENTH-GRADE STUDENTS IN FIRST SEMESTER AT SMKN 1 SINGARAJA

The implementation of this research aims to develop a textbook for English for Housekeeping for grade XI semester 1, majoring in hospitality at SMKN 1 Singaraja, Buleleng. English subject used in schools is still general, did not specific based on each student's major yet, and there was no learning material in accordance with the Merdeka Curriculum. The research method used is Design and Development (D&amp;D) by Richey and Klein (2009) in Sugiyono (2017), in which there are three stages, namely Planning, Production, and Evaluation. The data analysis technique in this study uses with qualitative and quantitative methods. Based on the data, it was found that teachers and students need specific English with the hospitality major and an interesting English textbooks for Housekeeping. There are three learning units developed using Hutchinson and Waters' (1987) theory, namely 1) Provision and Preparation for Housekeeping Services, 2) Public Area Section, and 3) Handling Lost and Found for Guests. The results of this study are the English Textbook for Housekeeping which was evaluated by the two previous experts using a checklist questionnaire by Lizt (2005) on a Lickert scale. From the results of the expert's evaluation, calculated using the percentage formula and the Mean by Suharto (2006), it was known that the quality of the textbook English for Housekeeping is in the very good category based on the range of assessments by Suharto (2006). Therefore, this textbook can be used by teachers and students to explore English material, especially for Housekeeping subjects
Improved calibration method for a telecentric structured light system

Polynomial-based calibration methods for a telecentric structured light system, composed of a camera with a telecentric lens and a pin-hole projector, can prevent measurement error introduced by projection calibration and thus have high measurement accuracy. However, using multiple calibration plate positions to cover the measuring volume increases the time to carry out the projection and capture the fringe images. To decrease the execution time and maintain high accuracy, we propose an improved calibration method for a telecentric structured light system based on the principle of projective geometry of a projector. Placing a calibration plate with ring markers in only three positions within the measuring volume, we can establish the conversion relationships between the phase and depth and between the pixel position and transverse coordinates. For validation, a telecentric structured light system was set up and calibrated with the proposed calibration method. The calibrated system was applied for three-dimensional shape measurements of a calibration plate and a cylinder surface. Experimental results demonstrate that the proposed telecentric structured light system calibration method has a measurement accuracy similar to the polynomial-based system calibration method.
Research on Japanese-Chinese Statistical Machine Translation Based on Improved Ant Colony Algorithm

In order to effectively overcome ambiguity, the bottleneck problem of Chinese machine translation, and improve the accuracy of Chinese automatic word segmentation, the improved ant colony algorithm and grey entropy are used to study the problem of Chinese automatic word segmentation. Based on the word segmentation model, the accuracy of word segmentation is measured by grey entropy. Ant colony algorithm has the advantages of excellent distributed computing, information positive feedback mechanism and heuristic search, and has shown great development potential in solving complex optimization problems. Multi-strategy machine translation is a development direction of machine translation system today. This paper discusses the core technologies and algorithms used by each translation core subsystem in a Multi Strategy Chinese Japanese machine translation system, including Chinese analysis subsystem using lexical analysis, syntactic analysis and semantic role tagging, machine translation subsystem based on translation memory technology using double index technology A case-based machine translation subsystem with syntactic tree fragments as templates and a machine translation subsystem integrating valence patterns and fragment analysis. Among many application algorithms, ant colony algorithm has attracted extensive attention since it was proposed. An application example shows the effectiveness of the method. This method is of great significance to improve the level of machine translation and digitization in China.
A Reachability-Distance Based Differential Evolution With Individual Transfer for Multimodal Optimization Problems

Multimodal optimization problems (MMOPs) are one of the most challenging optimization problems in the real world, which need to locate multiple global optima with high accuracy, simultaneously. Although many niching techniques, such as crowding and species have been widely used for solving MMOPs, how to reduce the influence of introduced niching parameters and how to deal with the individuals trapped into local optima are still challenges for the existing multimodal algorithms. In this paper, a novel reachability-distance based differential evolution with individual transfer (RDDE-IT) is proposed to better deal with MMOPs, which includes the following three contributions. Firstly, a reachability-distance based prim (RDP) niching strategy without sensitive parameters is proposed to divide the population, which can adaptively adjust the number of niches as evolution progress. Secondly, an individual state-based mutation (ISM) strategy is proposed to help each individual select a suitable mutation operator. Thirdly, an adaptive individual transfer (AIT) strategy is proposed to deal with the individuals trapped into local optima and determines the probability of new individuals being generated within each niche. The performance of RDDE-IT is compared with 13 state-of-the-art algorithms on CEC'2013 and the experimental results show that RDDE-IT achieves significant advantages on high-dimension problems.
Intelligent Optimization Prediction Algorithm for Statistical Data Based on Recurrent Neural Network

Intelligent optimization forecasting is based on artificial intelligence and prediction science to analyze and process data, and select appropriate models and parameters to solve practical problems through artificial intelligence. Some time series are highly correlated with their own past states, while some time series are correlated with certain variables. For the dimensionality of time series input data, this study mainly considers two aspects from univariate and multivariate time series prediction. Therefore, this paper proposes a BP recurrent neural network model to complement the wolf pack algorithm. BP neural network has the feature of error back propagation seeking, and recurrent neural network (RNN) has the advantage of being able to fully consider the interconnection between signals and signals. The implementation of the intelligent data statistical platform to transform the enterprise data business process, to achieve instantaneous and accurate calculation of massive data and automatic analysis and aggregation, so that users get rid of the trouble of manual aggregation of paper reports, thus saving a lot of manpower and material resources and time, and the instantaneous response data information also provides a reliable basis for enterprise decision-making. Compared with BiGRU and GRU, DBiGRU does not have much improvement in prediction accuracy, but has a significant improvement in the speed and progress of handling unexpected events.
Reactive Programming with Swift Combine: An Analysis of Problems Faced by Developers on Stack Overflow

Reactive programming is a programming paradigm that enables systems to automatically react to changes in data or events in a responsive and asynchronous manner, leveraging the concept of streams. The adoption of reactive programming techniques has grown significantly, particularly in developing mobile applications that demand efficient frameworks for creating adaptable and scalable systems. An example of such a framework is Combine, introduced by Apple in 2019 for Swift application development on the iOS platform.
The Talent Cultivation System for Computer Science by integrating curriculum and industry practice through knowledge ability matrix

With the rapid development of technology, enterprises are striving to improve production and efficiency by adopting and popularizing new technological methods. However, the teaching in schools still predominantly focuses on traditional technical knowledge. In response to the problem of the mismatch between school education and industry demands, we conducted research on existing training programs and had multiple discussions with enterprises to analyze the main issues. Based on this, we proposed a solution and developed a collaborative model for Industry-Education Integration training programs. Following this model, we designed undergraduate course/practice matrices aligned with the knowledge framework recommended by ACM and IEEE CS, and constructed exemplary courses according to the requirements outlined in the matrices. This approach offers a higher granularity and operability compared to conventional industry-academia integration programs. The practical application of this model has yielded positive learning outcomes.
Utilization Of Illustated Booklet Educational Methods For Early Detection Of Risk Factors In Pregnancy

Research that uses a case study qualitative method and the chosen research subject is the government can provide a deeper understanding of the importance of communication development through information and communication technology in the era of globalization, navigation and decentralization. Some of the findings resulting from this research are as follows: The Importance of Development Communication through ICT: Research shows that effective development communication by utilizing ICT media, especially through e-Government has a positive impact on improving good, fast and responsive public services. The use of this technology allows local governments to interact directly with the community, convey information about development programs, and facilitate active community participation in the development process. In addition, budget transparency and development programs are also important factors in building public trust in the government.
The effect of visually induced motion sickness on driving performance in a virtual reality simulator and the efficacy of airflow as a countermeasure

&lt;p&gt;&lt;strong&gt;Background&lt;/strong&gt;: Virtual reality (VR) driving simulation technologies have a myriad of applications from entertainment to scientific and medical research. However, they also are known to cause visually induced motion sickness (VIMS), a special form of traditional motion sickness. Common side effects of VIMS include nausea and disorientation, suggesting VIMS can bias driving performance. Objectives: We (1) investigated how VIMS affects performance in a simulated driving task and (2) examined a potential treatment to reduce VIMS through in-vehicle ventilation. &lt;/p&gt; &lt;p&gt;&lt;strong&gt;Method&lt;/strong&gt;: Twenty-three participants were engaged in a driving task where they react to hazards, obey speed limits, and complete common driving maneuvers. Driving performance (Objective 1) was evaluated based on various common driving criteria and compared between high- and low VIMS groups. To study the effect of airflow on VIMS (Objective 2), for half of the participants the car vents were positioned to face the drivers head and torso having airflow directly contact the driver’s skin, creating the experimental group: airflow (direct, indirect). The level of VIMS was measured before and after the simulated drive. &lt;/p&gt; &lt;p&gt;&lt;strong&gt;Results&lt;/strong&gt;: We found no differences in VIMS severity between airflow groups, indicating both direct and indirect airflow were equally successful prophylaxes to VIMS. We found no differences in driving performance between participants who experienced high- and low VIMS, indicating driving performance was not influenced by VIMS. Conclusion: Due to their equal prophylactic effects, both direct and indirect airflow can be used as a low cost, effective means of reducing VIMS in VR driving simulators. Furthermore, as driving-performance was not affected by VIMS, driving-simulator results of participants who experience high levels of VIMS can be treated equal to participants who experience low levels of VIMS. As these results are preliminary given we were unable to reach our minimum sample size of 40 participants, more data collection is required in order to be able to make a concrete conclusion.&lt;/p&gt;