Reviewerly/exHarmony huggingface dataset:
The Impact of Organizational Culture on Administrative Creativity among Academic and Administrative Leaders: A Field Study at Private Universities in the Capital Municipality of Sana’a

The study aimed to identify the impact of organizational culture on administrative creativity among academic and administrative leaders at private universities in the Capital Municipality of Sana’a. it used the descriptive analytical method to achieve the objectives of the study and test its hypotheses. The field of study included four universities selected from (40) private universities. Considering the small size of the study population, the complete census method was used to select the study sample of (249) academic and administrative leaders. After performing the statistical analysis for (233) valid questionnaires using the Statistical Package for Social Sciences (SPSS v.23), the results of the study revealed that the organizational culture has a positive impact on the administrative creativity. The results also revealed that there is no statistically significant difference in the level of administrative creativity among the academic and administrative leaders at the universities of the study attributed to any of the demographic variables (gender, age, educational level, years of service and job type). Based on the results, the recommends strengthening and disseminating concepts of organizational culture and administrative creativity and directing the organizational norms in universities in order to increase the administrative creativity at universities. It also recommends implementing the study dimensions in general or at the level of each university, as well as making use of the high level of administrative creativity available at universities in order to increase problems solving that hold back the process of performance improvement.
The impact of knowledge management as moderator between competitive orientation and management performance Applied study on telecommunications companies in Sudanese

The impact of knowledge management as moderator between competitive orientation and management performance in Sudanese telecommunication companies. The problem of the study was represented in answering the main question, what is the impact of knowledge management as moderator between competitive orientation and management performance of the Sudanese telecommunication companies. The study aimed to measure impact of competitive orientation on the administrative performance of the telecommunication companies. The study depended on the analytical descriptive method as an optimal method. Results of the study manifested there is a statistically significant relationship between competitive orientation and administrative performance and knowledge management and administrative performance. The study recommended the following: great importance must be given to telecommunication companies as a source of competitive advantage compared to other companies, keeping pace with successive development in knowledge management and technology and linking the company’s employees with modern and enabling them to harness it in enhancing the efficiency of the company’s performance.
THE BIGGEST CHALLENGES FOR SLOVAK STUDENTS IN LEARNING THE SUBJUNCTIVE MOOD IN PORTUGUESE

The subjunctive mood is a particularly challenging issue for Slovak users of Portuguese, primarily because it doesn't exist in our language. Although university students learn subjunctive mood tenses for several years, we know from teaching experience that even students in their final semesters who have a good knowledge of Portuguese often have doubts about its correct use, and even try to avoid it in oral discourse out of fear of making mistakes. In this article, we therefore highlight the most prominent problems that Slovak students encounter when acquiring the subjunctive mood. We also provide a series of example sentences to help students better understand the particularities and subtleties of this verbal mood, and present exercise types that will help consolidate the knowledge they have acquired in practice.
Desain Model Artificial Intelligence Untuk Peningkatan Customer Experience &amp; Penjualan Tenaga Listrik Melalui Penambahan Fitur Virtual Customer Support Pada Aplikasi PLN Mobile

This study focuses on efforts to improve Customer Experience by incorporating Artificial Intelligence (AI)-based features into the PLN Mobile application. Given the challenges where many customers remain unaware of the variety of PLN products, the process of becoming a customer, and the boundaries of customer and PLN responsibilities, this research proposes the application of AI to improve customer interactions with PLN. The primary objective is to create an effective AI Chat Bot model for Customer Support, capable of efficiently serving both customers and non-customers. The methodology employed is the DM3 (Data-Driven Decision Management) approach, encompassing stages of data collection, pre-processing, AI model development, testing, launching, and further development. The primary focus is on integrating Natural Language Processing and Machine Learning technologies to enrich customer interactions. The results indicate that implementing an AI Chat Bot in PLN Mobile can enhance Customer Experience, facilitate communication, and gather valuable data for customer service activities. This Chat Bot feature not only improves service quality but also provides new information for PT PLN (persero) from customer activities, ultimately aiding in the increase of electricity sales.&#x0D; &#x0D; Keywords: Customer Experience, Artificial Intelligence, PLN Mobile
The Role of Teachers’ Teaching Performance in Bolangitang Barat Elementary School : Competency, Motivation, and Teacher-Training Education

This study aims to quantitatively measure the influence of teacher competence, teacher work motivation and training education (Training) on teacher performance. This research is included in the descriptive quantitative research. Partial Least Square (PLS) is the method used to analyze the data in this investigation. This research was conducted at a state elementary school in Bolangitang Barat. This study used a purposive sampling strategy, with participants drawn from elementary school Bolangitang Barat. The findings of this research suggest that factors such as education and training, competence, and teacher motivation in elementary school Bolangitang Barat, this leads us to the conclusion that to improve school teacher performance, it is necessary to provide education and training activities and also provide programs with the aim of increasing teacher competence. In addition, the teacher himself needs to have high motivation with the hope of help improve his performance.
The ANALYSIS OF THE SPONTANEITY SPEECH IN SPEAKING ASSESSMENT AT INSTITUTION OF FOREIGN LANGUAGE DEVELOPMENT AL-YASINI PASURUAN

Speaking is more than just creating and constructing sentences correctly and with proper grammar, but the ability to speak has a broad scope, such as in the fields of mechanics, functions, pragmatics, communication, and social interaction. To find out the students' ability, the teacher gives them a test. As an assessment, the teacher conducts a speaking test to find out how well students speak and their progress in learning. The speaking test is a procedure to measure students' speaking ability in which students are required to speak aloud, conveying their ideas, and then students are graded based on their speech. This research was conducted at LPBA Al-Yasini where the researchers focused on the scoring procedure for the spontaneity speech in assessing the students’ speaking skill. This research was descriptive-qualitative method. The result of the research was there are several aspect that used by LPBA to assess spontaneity speech, which are fluency, grammar, vocabulary, comprehension, pronunciation they are then divided into three categories, which are body language, delivery and content.
Analysis of Elementary School Students’ Literacy Ability of Javanese Script Through the Use of Script Card Reviewed Based on Critical Thinking Skills

Javanese script is very important for students to learn and understand, because Javanese script is a local wisdom culture that must be preserved in order to protect the nation's language culture so that it does not become extinct through the use of regional languages such as the use of Javanese script as a means for carrying out verbal and written communication and as a cultural expression.The aims of this study were: (1) to analyze the increase in Javanese script literacy skills and (2) to describe the increase in Javanese script literacy in terms of critical thinking skills. This is mixed methods research with a sequential explanatory strategy. The research sample consisted of fifth-grade students from Tegalsari Public Elementary School and Mangkuyudan Public Elementary School. Data gathering was conducted through the utilisation of tests, interviews, and documentation. From the findings and deliberation, the researchers are able to deduce the subsequent conclusions: (1) The proficiency in Javanese script among fifth-grade students in elementary schools improves following the implementation of script media by teachers. (2) Proficiency in critical thinking is closely correlated with the ability to read and write in Javanese script. The amount of critical thinking skills accounts for 39.3% of the variation in students' literacy skills in Javanese script, leaving 60.7% to be attributed to other factors. Students who possess advanced proficiency in Javanese script literacy exhibit a pronounced inclination towards critical thinking. Students who possess a moderate level of proficiency in Javanese script literacy demonstrate either high or medium levels of critical thinking abilities. Students who possess limited proficiency in Javanese script exhibit either moderate or poor levels of critical thinking abilities. According to the findings of this study, the researchers suggest that teachers in primary schools utilise script cards in order to facilitate effective learning activities and enhance students' proficiency in Javanese script as well as their critical thinking abilities.
An ANALYSIS OF STUDENT SELF-CONFIDENCE PRACTICE IN PUBLIC SPEAKING AT THE TENTH GRADE ICT MAJOR OF SMK CANDA BHIRAWA PARE

Every student must be confident in public speaking. Without confidence, we cannot communicate our ideas to the public. One of the successes in learning English can be measured by proficiency in English language skills. Confidence in speaking English needs to be improved again, practice every day so that confidence in speaking English is always changing and can be improved. The researchers of this study are currently analyzing the student self-confidence practice in public speaking at the tenth grade of ICT major of SMK Canda Bhirawa Pare.&#x0D; This research used qualitative research method. This qualitative research method was conducted through four instruments. They were as follows: (1) Observation (2) Interview (3) Questionnaire (4) Documentation. The result of this research is to know the strategy the teacher to build self-confident and the students’ responses toward self-confidence at SMK Canda Bhirawa Pare. The research result showed that the students of SMK Canda Bhirawa showed that some students lack confidence when speaking in public, which is determined based on data from teachers and direct observations from the author. Researcher asked about students' responses self-confidence, and students also have a high negative thought, do not believe in their abilities and are always pessimistic.
Video Semantic Segmentation Network with Low Latency Based on Deep Learning

Recently, new advances in deep learning algorithms have yielded some fascinating results in the field of computer vision technology. As a result, it can now perform activities that formerly required the use of human vision and the brain. Classification, object identification, and semantic segmentation have all seen substantial advancements in deep learning architecture in the last few years. For still images and movies, there has been a major advancement in the field of semantic segmentation. In practical uses like autonomous vehicles, segmenting semantic video continues to be difficult due to high-performance standards, the high cost of convolutional neural networks (CNNs), and the significant need for low latency. An effective machine-learning environment will be developed to meet the performance and latency challenges outlined above. The use of deep learning architectures like SegNet and FlowNet2.0 on the CamVid dataset enables this environment to conduct pixel-wise semantic segmentation of video properties while maintaining low latency. As a result, it is ideally suited for real-world applications since it takes advantage of both SegNet and FlowNet topologies. The decision network determines whether an image frame should be processed by a segmentation network or an optical flow network based on the expected confidence score. In conjunction with adaptive scheduling of the key frame approach, this technique for decision-making can help to speed up the procedure. Using the ResNet50 SegNet model, a mean Intersection on Union (IoU) of "54.27 percent" and an average frame per second of "19.57" were observed. Aside from decision network and adaptive key frame sequencing, it was discovered that FlowNet2.0 increased the frames processed per second9(fps) to "30.19" on GPU with a mean IoU of "47.65%". Because the GPU was utilized "47.65%" of the time, this resulted. There has been an increase in the speed of the Video semantic segmentation network without sacrificing quality, as demonstrated by this improvement in performance.
Digital Literacy Skills of Elementary School Teachers on the North Coast of East Java

The purpose of this study was to assess the proficiency of teachers in the northern coastal region of East Java in the area of digital literacy. The researchers employed a qualitative research methodology, specifically utilising a phenomenological study design. Elementary school instructors are the target audience for studying digital literacy. The findings of this study concerning the digital literacy of primary school educators are highly favourable. The study found that there are eight indicators of digital literacy for teachers. These indicators include proficiency in operating digital media, creativity in digital spaces, collaboration in digital space, effective communication, information search and selection skills, critical thinking and content evaluation abilities, alignment of social and cultural understanding with digital spaces, and implementation of internet security measures.
GPT-4: A Review on Advancements and Opportunities in Natural Language Processing

Generative Pre-trained Transformer 4 (GPT-4) is the fourth-generation language model in the GPT series, developed by OpenAI, which promises significant advancements in the field of natural language processing (NLP). In this research article, we have discussed the features of GPT-4, its potential applications, and the challenges that it might face. We have also compared GPT-4 with its predecessor, GPT-3. GPT-4 has a larger model size (more than one trillion), better multilingual capabilities, improved contextual understanding, and reasoning capabilities than GPT-3. Some of the potential applications of GPT-4 include chatbots, personal assistants, language translation, text summarization, and question-answering. However, GPT-4 poses several challenges and limitations such as computational requirements, data requirements, and ethical concerns.
Unlocking E-Learning Triumph: Nurturing Support Systems and Student Traits in Secondary School Implementation

The utilisation of e-learning via the Internet provides the benefits of adaptability, extensive accessibility to educational materials, and convenient entry. Nevertheless, the utilisation of the Internet in education presents concerns like the presence of irrelevant content and potential risks to data security. The objective of this study is to obtain precise data by administering questionnaires that assess the availability of e-learning resources such as computer equipment and internet networks, user proficiency, and learner characteristics. Data were gathered via interviews conducted with teachers, observations made of e-learning enabling facilities, and the distribution of questionnaires to high school students in Pariaman City. The findings indicate that educational institutions are prepared to facilitate e-learning. The primary advantage of using E-Learning is the availability of open and widely accessible learning resources. The introduction of the E-learning system encountered issues, notably the presence of irrelevant content. Hence, the objective of this study is to uncover information pertaining to the necessary e-learning resources that facilitate the process of learning. A questionnaire was employed as the data gathering instrument. The primary concept presented in the document explores computer devices and internet networks, user functionalities, and participant and student attributes. The specimen constituted a secondary educational institution. Interviewing was another method employed for data collecting. The interview focused on eliciting information regarding the E-learning infrastructure acquired from both professors and students. The findings indicate that the school is prepared to adopt E-learning. However, the implementation of Intranet-based E-learning is necessary to address the current challenges.
Vehicle Detection and Speed Estimation Using Semantic Segmentation with Low Latency

Computer vision researchers are actively studying the use of video in traffic monitoring. TrafficMonitor uses a stationary calibrated camera to automatically track and classify vehicles on roadways. In practical uses like autonomous vehicles, segmenting semantic video continues to be difficult due to high-performance standards, the high cost of convolutional neural networks (CNNs), and the significant need for low latency. An effective machine learning environment will be developed to meet the performance and latency challenges outlined above. The use of deep learning architectures like SegNet and Flownet2.0 on the CamVid dataset enables this environment to conduct pixel-wise semantic segmentation of video properties while maintaining low latency. In this work, we discuss some state-of-the-art ways to estimating the speed of vehicles, locating vehicles, and tracking objects. As a result, it is ideally suited for real-world applications since it takes advantage of both SegNet and Flownet topologies. The decision network determines whether an image frame should be processed by a segmentation network or an optical flow network based on the expected confidence score. In conjunction with adaptive scheduling of the key frame approach, this technique for decision-making can help to speed up the procedure. Using the ResNet50 SegNet model, a mean IoU of "54.27 per cent" and an average fps of "19.57" were observed. Aside from decision network and adaptive key frame sequencing, it was discovered that FlowNet2.0 increased the frames processed per second to "30.19" on GPU with such a mean IoU of "47.65%". Because the GPU was utilised "47.65%" of the time, this resulted. There has been an increase in the speed of the Video semantic segmentation network without sacrificing quality, as demonstrated by this improvement in performance.
Development of Multiple Representation-Based E-Modules Utilizing Augmented Reality in the Material of Molecular Shapes and Inter-Molecular Interactions

The goal of this research was to create an e-module based on multiple representations in the material of molecular shapes and interactions between molecules using augmented reality technology. The method used is the Research and Development (RD) method with the ADDIE model, which consists of 5 phases: the analysis phase, the design phase, the development phase, the implementation phase, and the evaluation phase. Data collection techniques include interviews, student questionnaires, validation sheets, and user response questionnaires. Two methods were used in small-scale trials: one-on-one testing and user response. The one-on-one test involves three students with high, medium, and low abilities. The data obtained from the interviews are in the form of supporting questions related to opinions on the use of teaching materials, followed by assessments of questionnaire sheets and validation sheets in the form of scales. The type of scale used is a Likert scale with a score of 1-4. User response assessment involved three teachers and 30 students. The results showed that the developed e-module obtained an average percentage of material experts (95.7%) and media experts (92.2%), with very valid criteria; a one-on-one test to get students' comments for e-module components that must be repaired; and user responses, (namely teachers and students), with percentages of 93.1% and 93.7%, with very good criteria.
An Analysis of Inflectional and Derivational Affixes on Psalms Chapters 1-10 From the Bible King James Version

The objective of this study is to identify the inflectional and derivational affixes present in Psalms chapters 1-10 of the King James Version, and to examine the manner in which these affixes are processed. This study employs a qualitative research approach characterized by a descriptive design. When examining the data, the author emphasizes the inflectional and derivational affixes found in the King James translation of the Bible, as outlined by Katamba's theory (1993:40) that states "derivation and inflection are two distinct methods of constructing words." The word formation mechanisms mentioned here can be categorized into two primary types of affix morphemes: derivational affixes and inflectional affixes. The study identified a total of 49 derivational affixes, consisting of 10 prefixes (8.20%), 39 suffixes (31.59%), and 73 inflectional affixes (59.84%). According to the findings of this study, the processing of inflectional affixes is more prevalent than that of derivational affixes when examining the text of Psalms in the King James translation, namely chapters 1-10. The dominance of the suffixes -ed/-d/-ied is due to the prevalence of past tense sentences in the text. This study can serve as a valuable resource for lecturers, particularly those teaching morphology, since it provides clear differentiation between roots and affixes, enabling a comprehensive understanding of the word formation process and the significance of affixes. This study can assist other scholars in analyzing the formation of derivational and inflectional affixes and their processes. This study can serve as a valuable resource for studying vocabulary and word building. Additionally, the study has broader implications, serving as a foundational reference for morphology education, linguistic analysis, and interdisciplinary studies. It enriches our understanding of the linguistic characteristics of the King James Bible, offering insights into the intricate dynamics of word formation within religious texts.