Reviewerly/exHarmony huggingface dataset:
Practical Knowledge Level Characteristics and Innovative Practice Achievement Transformation Mechanism of Vocational College Students

Cultivating talents with innovation ability is both the goal of higher vocational colleges and their responsibility given by the era. Focusing on improving the practical knowledge level of students means that students should be exposed to nature, society and problems through practical activities, thus providing the maximum space for them to think, explore, discover and innovate. As for existing studies on cultivating innovative ability of students and improving their practical knowledge level, they mainly have focused on ability evaluation and analysis of influencing factors, and few of them has involved analysis of their practical knowledge level characteristics. Therefore, this paper studied the characteristics and transformation mechanism of their innovative practice achievements. A multi-level comprehensive evaluation system was constructed, which aimed to evaluate the practical knowledge level of those students. The input dimension of quantized data of indexes was reduced in accordance with the principal component analysis (PCA). Then the quantized data of the low-dimensional indexes were mined by hierarchical clustering, and different training subsets were generated to participate in the evaluation model training. Based on the idea of clustering-prediction-integration, Gated Recurrent Unit (GRU) model was used for nonlinear integration of the output results of two-way Long Short-Term Memory (LSTM) model, which further fit the nonlinear characteristics in the quantized data of all indexes. By introducing Bootstrap-Data Envelopment Analysis (DEA) method, the transformation rate of innovative practice achievements of the students was collected and calculated in order to obtain a small calculation error. Experimental results verified the effectiveness of the proposed calculation method of the model.
Influence of Intelligent Technology Applications on the Learning Effect

With the continuous application of intelligent technology, Virtual Reality (VR) technology has become a hot topic of development. VR has unique advantages in the field of the teaching due to its characteristics of immersion, interaction and sociality. Therefore, it is necessary to pay attention to the influencing factors of VR teaching on learning effect, to improve the quality of courses through improvement of relevant influencing factors and to help to reverse further development of VR technology. A questionnaire survey on influencing factors of teaching application of VR technology on the learning effect of college students was conducted. Through data collection of students of various majors and grades in multiple comprehensive universities, statistical analysis and regression empirical analysis were carried out. Results show that different majors, grades, and students’ autonomous learning ability have different influences on the teaching application of VR technology. In addition, there are many influencing factors such as network fluency, situational sense of interaction, teachers’ teaching ability and the difficulty of course design, etc. According to the conclusions, some suggestions on improving VR teaching and learning effect are put forward. It is expected to improve the learning effect and efficiency of college students under the application of VR teaching, and promote the further development of VR teaching.
Pengembangan E-Modul Bangun Datar Berbasis Teori Multiple Intelligence untuk Siswa Kelas IV SDN Ngupasan

The rapid development of technology has invaded the world of education over time. This, of course, must be balanced with the quality and professionalism of teachers. Teachers must be rich in information and technology mastery to build mature learning concepts. Of course, in order to generate student activity in learning, it also needs to be supported by learning tools that the teacher has prepared. The current pandemic condition makes students study online. In such conditions, teaching materials are needed to help students master the material independently. Electronic modules can be developed and integrated with the theory of multiple intelligences in learning to build students' concepts and thinking skills in learning maximally. The results of the multiple intelligence-based e-module research developed are feasible to use because they meet the valid, practical, and effective criteria. Based on the validity test conducted by media experts, material experts, and teachers, the average score was 3.85. The practicality test through a student response questionnaire conducted with a limited and wide-field trial obtained an average score of 3.64 and was categorized as effective in learning completeness with 84%.
Uniting Multi-Scale Local Feature Awareness and the Self-Attention Mechanism for Named Entity Recognition

In recent years, a huge amount of text information requires processing to support the diagnosis and treatment of diabetes in the medical field; therefore, the named entity recognition of diabetes (DNER) is giving rise to the popularity of this research topic within this particular field. Although the mainstream methods for Chinese medical named entity recognition can effectively capture global context information, they ignore the potential local information in sentences, and hence cannot extract the local context features through an efficient framework. To overcome these challenges, this paper constructs a diabetes corpus and proposes the RMBC (RoBERTa Multi-scale CNN BiGRU Self-attention CRF) model. This model is a named entity recognition model that unites multi-scale local feature awareness and the self-attention mechanism. This paper first utilizes RoBERTa-wwm to encode the characters; then, it designs a local context-wise module, which captures the context information containing locally important features by fusing multi-window attention with residual convolution at the multi-scale and adds a self-attention mechanism to address the restriction of the bidirectional gated recurrent unit (BiGRU) capturing long-distance dependencies and to obtain global semantic information. Finally, conditional random fields (CRF) are relied on to learn of the dependency between adjacent tags and to obtain the optimal tag sequence. The experimental results on our constructed private dataset, termed DNER, along with two benchmark datasets, demonstrate the effectiveness of the model in this paper.
The relationship between job satisfaction and employee performance in the various work sectors of the kingdom of Bahrain

The aim of this research paper is to study the impact of job satisfaction on employee performance in the various work sectors of the Kingdom of Bahrain.For that purpose, an online questionnaire was developed as a tool for the study and distributed to a sample of one hundred and twenty-five individuals, randomly selected from governmental, semi-governmental, and private organizations of the Kingdom to conduct the study.Accordingly, the results of this study were analyzed and examined against what was found in the research literature.The nature of the relationship between the two main factors of the study was successfully assessed, which is the relationship between job satisfaction and employee performance.Also, through the analysis of results, different levels of job satisfaction were spotted among the various work sectors of the Kingdom, leading to identify the sectors that possess the most and most minor satisfied employees and the causes behind those results with recommendations for the future opportunities to improve the overall study findings.
Modeling Development and Validation of Metaverse Attitude Scale

This study is an attempt to develop a reliable and valid measurement tool to measure secondary school students' attitudes towards metaverse use. Therefore, the study reported the analyses related to metaverse attitude scale (MVAS). The content validity of the scale was ensured by an expert’s view, and Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) designed according to the Technology Adaptation Model (TAM) were employed to ensure its construct validity. . The structural equation model was used to reveal the relationship across the variables. EFA was carried out with the data obtained from 251 5th, 6th, 7th, and 8th-grade secondary school students enrolled in public schools in a city in northwest Turkey. The results of EFA confirmed a 22-item three-factor model. Then, the three-factor model obtained from EFA was cross-validated through the use of CFA that proposed a 21-item 3-factor model. The fit indices for CFA were found as .05 for RMSEA, .049 for SRMR, .889 for GFI, .871 for AGFI, .9146 for NFI, .965 for CFI, and .916 for RFI. Besides, the results affirmed the proposed 21-item three-factor model theoretically and statistically. Structural equation modeling was used to determine the relationship across variables. Accordingly, secondary school students were identified to have positive responses towards cognitive and affective fields related to the metaverse. However, they could not transform these responses into behavioral field. As a result, the metaverse may be used in education since it is likely to observe the independent variables such as perceived usefulness, perceived ease of use and attitude towards use regarding the metaverse in secondary school students.
PKM Karang Taruna Nusa Persada Desa Kalimanggiswetan dalam Mendirikan Taman Baca

The problem behind this community service is related to the low interest in reading for school-age children and inactive Nusa Persada youth organization in Kalimanggiswetan village. Therefore, the solution offered to solve this problem is by establishing a Taman Baca directly and coaching youth groups in managing the Taman Baca. This Taman Baca was established in Pahing hamlet, precisely at the Village Hall, Kalimanggiswetan. Pahing Hamlet was chosen as Taman Baca location due to a relatively high population of children. In addition, Pahing Hamlet, which is also the Karang Taruna basecamp, has a very strategic location and is easy to reach by the children of the Kalimanggiswetan village. Several series of activities in this service include outreach to community members and schools, exposure and counseling about the importance of Taman Baca by several lecturers, coordination with the Village Government and Youth Organizations in preparing a place for Taman Baca, providing reading materials, equipment and supplies for Taman Baca, carrying out teaching and assistance activities for children that focus on improving literacy both cultural and digital literacy. Regarding the evaluation, the Village Head is also involved to encourage the success of the establishment of Taman Baca and to monitor the success of the program and monitor the sustainability of this Taman Baca.
Pengabdian Masyarakat Melalui Taman Bacaan Model Kampung Literasi Di Desa Rindu Hati, Bengkulu Tengah

The low literacy culture of the Indonesian people currently affects the low interest in reading and writing in the community. This service activity aims to describe and reveal the data of the illiterate community and their tendency to read and write, train the public in reading and writing to the community so that they can grow their interest in reading and writing, compiling literacy into an anthology of folklore and poetry both in print and through the media. online, as well as describing responses to reflections on activities that have been carried out to provide input and action on the literacy village activity model that has been carried out. The method of service is the descriptive qualitative Tabari Unib with the APTE Model (Needs Analysis, Training, Action, and Evaluation). Community service through the Taman Bacan Rindu Hati (Tabari) Unib tends to have good interest in reading and writing but is still lacking in availability and activities. that happened. Likewise with the illiteracy of only 0.5% who are still illiterate and even then in the elderly community. For this reason, in growing interest in reading and writing, the APTE model (Needs Analysis, Training, Action, and Evaluation) is carried out so as to foster interest in reading and writing in the Rindu Hati community. The outputs of this training are that the literary works called the Antologi Sastra Rindu Hati (Asri) Unib in the form of folklore, poetry, and the origins of the names of places or villages as many as 94 works with ISBN, Tabari Unib at Rumah Gadang and Tabari Unib online. Based on this service activity, this activity is very well carried out so that it has an impact on increasing the reading and writing culture of the Rindu Hati community with the Tabari Unib.
DESIGN AND IMPLEMENTATION OF A ROBOT TO ASSIST BEDRIDDEN PERSON

Bedridden individuals often face a significant challenge when it comes to performing daily activities due to their inability to move.Such individuals have to rely on others for assistance with even the most basic tasks, which can lead to a feeling of dependency and a reduced sense of autonomy.This lack of independence can negatively impact their mental and emotional well-being, and can cause a decline in their overall quality of life.To address this issue, we designed and implemented a robot to assist bedridden individuals in performing various tasks.This robot combines a mobile robot with a versatile robotic arm, which is controlled through the Blynk platform.The Blynk platform is a mobile application that allows users to remotely control devices that are connected to the internet.With the help of the ESP8266 microcontroller and L298N Motor driver, the robot can be easily maneuvered.The robotic arm utilizes servos to perform a wide range of angular movements, making it capable of performing many activities that were previously impossible for bedridden individuals.This technology allows bedridden individuals to perform tasks like object manipulation and relocation, providing them with a newfound sense of independence and significantly improving their quality of life.
E-Book Interaktif Berbasis Canva Sebagai Inovasi Sumber Belajar Materi Sistem Pencernaan Manusia Kelas V SD

This research was based on observations at SDN Mrican 2 Kediri, which showed a low level of student learning in studying human digestive system material. As much as 48.38% of students scored below the KKM. This problem is caused by the teaching materials that students learn being less interesting and cannot provide a clear picture of the process of how humans digest food. The analysis of student needs shows that there is still a lack of electronic reading books for elementary school students provided at SDN Mrican 2 Kediri. In addition, 98% of students prefer learning material with writing, images, sound, and 95% of students like animation-based video material. Based on the problem analysis and needs analysis, the researchers developed an interactive Canva-based e-book teaching material as an innovative learning resource for the human digestive system. The purpose of this research is to develop Canva-based interactive e-book teaching materials. This study uses the R&amp;D method with the ADDIE Model. Canva-based interactive e-book products are validated by expert media, material, and language validators. The results of this study indicate that the validity of media experts is 92%, material experts 88.9%, and linguists 100%, so the average validation result is 93.6%. The practicality of the educator response questionnaire is 94.7%, and the student response questionnaire is 90%, so the average practicality result is 92.35%. The results of the effectiveness of the product were obtained from the experimental results, where the effect of interactive e-books on learning outcomes reached 88.46% of students who completed. So it can be concluded that Canva-based interactive e-books are valid, practical, effective, and feasible.
Penerimaan Teknologi E-Learning SiPeDar Dengan Menggunakan Technology of Acceptance Model (TAM)

SiPeDar is an e-learning platform developed by UST to facilitate learning from the campus academic community. The application of Information Technology is always related to user acceptance. Therefore, the purpose of this study is to obtain empirical evidence related to the acceptance of SiPeDar technology using the Theory of Acceptance Model (TAM) framework with the construct of perceived ease of use, perceived usefulness, attitude toward using, and acceptance of e-learning system (acceptance of e-learning system). The sample of this study was 77 students from UST Yogyakarta PGSD students who were randomly selected. The data collection technique employed a questionnaire distributed through Gform. The data analysis technique used is quantitative descriptive data analysis using the SPSS program. The results showed that the perceived ease of use of SipeDar and students' perceived usefulness towards SiPeDar were good. The students' attitude towards using SiPedar shows a reasonably good assessment category. SiPeDar's actual system usage shows a high level of usage among students.
Pelatihan Pengajaran Bahasa Inggris untuk Guru SMP Gugus Kadugede di SMPN 2 Subang dengan Pendekatan English as Medium of Interaction (EMI)

The ability of teaching English among English teachers still needs to be improved. The atmosphere of English class will feel maximal when the teacher as a key factor plays its function and ability as an attractive, energetic, creative teacher and always uses English as a medium of communication in teaching. English as Medium of Interaction (EMI) is an approach in training to improve teacher skills in teaching English to junior high school teachers in the Kadugede Group. Instructor provides training with full of English so that the trainees are moved to respond in English as well. The use of English in the classroom with a percentage of only 60%: 40% will certainly have a significant positive impact in the learning process. Motivating teachers by providing concrete examples that communicating optimally in English classes must continue to be done to get effective and efficient learning outcomes. After completion of teacher training – teachers feel motivated to teach in the classroom using EMI. They felt that during the training, they had received full training in English, so they realized that in English, students were accustomed to listening and were moved and forced to speak English because learning the language was just the matter of habit.
A Study on Knowledge and Awareness of M-Learning among the Teachers of Higher Education

Higher education is tertiary education leading to award of an academic degree. Higher education, also called post-secondary education, third-level or tertiary education, is an optional final stage of formal learning that occurs after completion of secondary education. It represents levels 6, 7 and 8 of the 2011 version of the International Standard Classification of Education structure. Tertiary education at a non-degree level is sometimes referred to as further education or continuing education as distinct from higher education. Nowadays, m-learning services are interesting and very recent addition as a new vital platform for the higher education environment. This study explored the requirement for utilizing m-learning services in the higher education environment. Moreover, it provided the knowledge base about the current state of students’ awareness about m-learning services. Both of the environment and the infrastructure are appropriate to diffuse m-learning in the higher education environment. The results indicate that the higher education environment has the required infrastructure to utilize m-learning services. Furthermore, the results show that the teachers have adequate knowledge and awareness to use such technology in their education environment. However, the barriers and obstacles that could be faced during the actual use of mobile learning should be considered. Literature shows that while the limitations of mobile technology are reducing over time, the capabilities are going on increasingly. This study shows that the limitations of m-learning for education are well concerned by teachers. However, Mobile wirelesses technology use in higher education will keep growing and will become the choice of the learning environment. This study is part of research to investigate adoption and diffusion of m-learning services among teachers in the higher education environment.
Knowledge Management on Banking Sector

As banks face new and evolving challenges, including digitization, virtualization of the workplace, government regulations and growing security concerns they can gain a competitive advantage with knowledge management. Knowledge management in banking sector allows financial services organizations to more efficiently store and organize knowledge, which enables bank managers and employees to collaborate and stay aligned on short- and long-term initiatives. By integrating knowledge management, banking firms can better understand their employees, customers and even their own products and services. Here is a closer look at why knowledge management is essential and how banks use it to their advantage.
DEPRESSION DETECTION SYSTEM USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

In a state of natural psychic equilibrium, tension may be viewed as a disturbance in general.A person's mental health will be put under stress if they cannot balance the expectations placed on them with their ability to cope with them.There are many different kinds of challenges.Psychological equilibrium disruption is a broad description of depression.Depression detection is one of the main areas of biomedical engineering study because it may be simple to avoid depression with the right measures.There are many bio signals accessible, including Mri, Rgb, oxygenation, and Frs. which can be used to determine depression levels because they show unique changes in depression induction.Due to the readily available recording, we use ECG as the top candidate in this endeavor.Multiple SVM model types have been examined by changing the function number and kernel type.
Rainfall Characteristics In Medan City With Pearson Correlation Analysis (Case Study Of February 27, 2022)

February is climatologically the first peak of the dry season in the North Sumatra region, but floods can still occur. This study analyzes the characteristics of rainfall patterns that occur during extreme rainfall that occurred in the Medan area on February 27, 2022 which resulted in flooding in several areas in Medan with Pearson correlation. The data used are rainfall data, satellite data, radar and other atmospheric dynamics analysis data. Based on dynamic analysis on February 27, 2022, the growth of CB clouds began at 14.00 WIB reaching its peak at 17.00 WIB where the peak temperature of the cloud reached 82.4 ° C and cloud growth lasted until 21.00 WIB, where the rain lasted long enough to cause hydrometeorological disasters (floods) to occur. The Pearson correlation coefficient method (r) used to analyze the relationship between rainfall and DMI, ENSO, SST Anomalies and SOI conditions can be seen that the dominant influence is SST Anomalies and SOI, where in February conditions that affect rainfall are ENSO with a correlation value of 0.36272 and SST Anomalies with a correlation value of 0.37548.