Reviewerly/exHarmony huggingface dataset:
Deixis Study in Speech Text of President Joko Widodo on Independence Day

The deixis in the speech text of President Joko Widodo on Independence Day, August 17, 2022, is the subject of this article. This study's objectives are to identify deixis types, identify the dominant type in the speech text of President Joko Widodo, and explain deixis types and their causes. The study aims to identify the prevalent deixis type, understand the procedure, and determine why President Joko Widodo uses deixis in his speeches. This study employs the qualitative content analysis research design. The speech text of President Joko Widodo on Independence Day, August 17, 2022, serves as the data's primary source. The documentary technique is used for data collection. Documentary sheets are the tool used for data collection, and content analysis is the method used for data analysis. President Joko Widodo's speech text analysis on Independence Day reveals five different types of deixis. According to the analysis, social deixis is the most frequently used. The purpose of social deixis in a speech for Independence Day by President Joko Widodo demonstrates that there are distinctions in the roles of recipients of speech referrals and revealed reveals language politeness tactics, particularly those related to cultural factors, and depicts how a person's social status, such as age, occupation, education background, and social position, impacts a country's leader to deliver his Speech during the celebration of Independence Day.
Corrigendum: Institutional presence: toward a further developed Community of Inquiry model integrating institutional functions in online and blended learning environment

CORRECTION article Front. Psychol., 27 September 2023Sec. Organizational Psychology Volume 14 - 2023 | https://doi.org/10.3389/fpsyg.2023.1292252
3D Printing in Education – Innovative Approaches to Learning through Modern 3D Technologies

The report will explore and research schools which already implemented 3D printing technology in their educational process. It will be described how it was developed and implemented in specific programs of educational institutions. Examples of academic disciplines where a 3D printer is used as an additional learning aid will be considered. As a consequence, I will derive results from the benefits of such type of learning aids.
Mathematical Model of Forest Fire and Its Relationship with Simulations and Serious Games (SSG)

Forest fires are readily available, but data is not. We present our abstract mathematical model of a forest fire in Bulgaria, without any real-world data. Our main thesis is that it looks realistic. Our calibration techniques are limited to integer values, with a hint of real numbers. Our visualization technique is fixed function pipeline OpenGL implementation, but it does the job. Our programmer staff is limited to two people, both experts in their fields, that managed to make two distinct software products, that have as a base the same solid mathematical algorithm.
Pedagogic Relevance of Integrating Augmented Reality in Saudi English Classrooms: A Systematic Review

Every day is a new experience as technology in general has become an integral part of every aspect of modern life. Today, the learning environment plays an important role in influencing learning outcomes, especially after the Covid-19 pandemic. Researchers and educators have begun to discuss and test the implications of these realities for education. Currently, researchers are busy exploring pedagogic relevance of two environments: virtual and augmented reality. The field of English language learning is no exception. The author of this study intended to study importance and impact of augmented reality (AR) in learning English. Teachers' perceptions and digital skills regarding the use of AR were also investigated. Twenty (20) related studies were reviewed for this study. Selection of the articles was made according to the objectives of the study. Latest studies were mainly included, however, quite a few old studies were considered due to utmost importance. The Findings of this study are in accordance with most of the papers considered for the systematic review which indicate that the use of AR applications can be effective if appropriately employed. Teachers' perceptions of AR were found to lead to the conclusion that it improves achievement and increases student motivation and interest. However, the teachers were not very familiar with the AR environment. These findings have implications for learners, teachers, curriculum designers, and administrators seeking to integrate AR into English language teaching and learning.
Educational Broadcasting and Local Languages in South East Nigeria: The Effectiveness in Safeguarding the Endangered Igbo Language

The broadcast media use indigenous languages in presenting some programmes in south east Nigeria yet, the level of patronage of some of these languages by indigenes or inhabitants of the regions where these languages operate especially the Igbo indigenous language remains grossly low. Worrisome also is the fact that UNESCO has enlisted the Igbo language as one of the Nigerian languages that is endangered. This study examines the use of educational broadcasting as a virile tool in safeguarding and developing the Igbo indigenous languages in south east Nigeria. The objectives of this study are to: determine the extent to which the broadcast media programmes on indigenous language have contributed in the awareness level of endangered language in southeast states Nigeria, find out if there are broadcast media programmes that educate the audience on how to speak, read and write the Igbo Language and ascertain other factors responsible for the poor usage of the Igbo language in the south east Nigeria. Survey research design was used with 379 copies of questionnaire as the major instrument of data collection. Two theories were used for the study; the development media and the Agenda setting theories. Enugu Metropolis was used as the case study. Data generated were analyzed using simple percentages and frequency distribution tables. Chi- square was used to test the hypothesis. Findings from the study are discussed within the context of much larger body of knowledge on educational broadcasting and the link with endangered Igbo language.
Applying Minority Range to Gini Index to Handle Imbalanced Dataset in Decision Tree classifiers

Abstract The Class imbalance Problem is a common problem in Machine Learning where the number of instances in one class is significantly lower than the other, this can lead to biased classification models where the ma- jority class dominates and the minority class is mis- classified. Decision Tree Classifiers are commonly used for classification tasks due to their simplicity and in- terpretability. However, the class imbalance Problem can negatively impact the performance of decision tree Classifiers (Chawla et al. 2002) If this paper we discuss a new approach to training a decision tree classifier that is an improvement over pre-existing approaches. We also provide experiments to prove that the pro- posed method is an improvement over the preexisting metrics.
Crypto Quest: Unveiling the Gender Gap in Iceland's Cryptocurrency Ownership and Investment

The purpose of this study is to investigate whether the variables that are usually considered predictors of participation in the stock market, such as gender, age, education, income, and financial risk attitude, are also useful for predicting participation in the cryptocurrency market. We conducted a unique survey of 1,036 adult participants from Iceland. The results reveal that 8% of the sample has invested in crypto-assets in the past, while the current ownership rate stands at 5%. Being young, male, risk-tolerant, open to new technologies, and perceiving savings in Icelandic banks as less secure was associated with a higher likelihood of crypto-assets investment. Furthermore, we found that higher individual subjective financial knowledge related to cryptocurrencies was is associated with a higher likelihood of owning cryptocurrencies and explains the association between gender and investment in cryptocurrencies.
Enhancing Data Security in Cloud Computing through Homomorphic Encryption

Cloud computing has revolutionized the way data is stored and processed, offering unparalleled flexibility and scalability. However, it also raises significant concerns about data security and privacy. This research paper explores the role of homomorphic encryption in enhancing data security in cloud computing. Homomorphic encryption is a promising cryptographic technique that allows computations to be performed on encrypted data without decrypting it, thus preserving data confidentiality. This paper reviews the fundamentals of cloud computing, discusses the challenges associated with data security in the cloud, and delves into the concepts, advantages, and challenges of homomorphic encryption. It also examines real-world use cases, applications, and recent advancements in homomorphic encryption. The research concludes that homomorphic encryption is a powerful tool for enhancing data security in cloud computing and offers recommendations for its adoption and implementation.
PENGARUH MODEL PEMBELAJARAN PAKEM BERBASIS MULTIMEDIA TERHADAP HASIL BELAJAR TEMATIK

The purpose of this study is to find out how much influence the multimedia-based standard learning model has on thematic learning outcomes in the sub-themes of work around me. This type of research is a quasi-experimental. Experimental research is to use the research method used to find the effect of treatment on others under controlled conditions which was carried out at UPDT SD Negeri 122371 Pematang Siantar with a saturated sample of 30 students. The procedure for the steps in the study was carried out by giving a pretest and giving treatment to the class that was the subject of the study using a multimedia-based standard learning model. The results obtained that the use of the standard model has a positive effect on student learning outcomes in social studies, science and Indonesian lessons as evidenced by the results of the hypothesis testing that has been carried out, it is obtained that tcount is 13.62 and ttable is 2,048, tcount&gt;ttable = 13.62&gt;2.040, The difference between the results of the pretest and posttest is significant and it can be concluded that H0 is rejected and Ha is accepted, so the hypothesis in this study is accepted. Students become more active and enthusiastic in the learning process by using learning media compared to the teaching and learning process without using learning media.&#x0D; Keywords: PAKEM Model, Student Learning Outcomes.&#x0D;
MEDIA PEMBELAJARAN BAHASA INDONESIA BAGI PENUTUR ASING

Today the use of Indonesian is in great demand by foreign nationals from different parts of the world. Indonesian can be a foreign language as well asan introduction for foreign speakers. In Indonesian learning for foreign speakers (BIPA), there are various aspects of learning. One aspect of BIPA learning is the use of learning media. Learning media is a set of educational means used to facilitate communication and learning with instructional purposes. Learning media can be very helpful in BIPA learning.
The Impact of E-learning on the Feeling of Job Alienation among Faculty Members in Jordanian Universities

The purpose of this study to identify the impact of E-learning on the feeling of job alienation among faculty members in public and private Jordanian universities. The study community consisted of faculty members in all Jordanian university, where 498 questionnaires were analyzed. The descriptive-analytical approach was applied and the results were analyzed by statistical methods, the results of the study showed that there is a negative and statistically significant effect of E-learning on the extent to which faculty members feel job alienation, and that the rate of applying E-learning was at a medium degree, and the degree of faculty members’ feeling of job alienation was also at a medium degree. The study recommended not relying on E-learning completely, except in emergency cases, and limiting E-learning to some subjects, as the results showed that students' educational attainment was low, and the study recommended paying attention to the infrastructure of E-learning. The study dealt with a topic that the previous studies did not clearly address, and there is a paucity of studies that dealt with the subject of the study. which is the effect of e-learning on the feeling of job alienation among faculty members. These results may direct some researchers to conduct further studies on the impact of e-learning on the desire and effectiveness of faculty members in teaching.
Structure of the lithosphere and its controlS on gold mineraliSation in Southeast Kamchatka

Since the eighties of the last century and up to the present time, a complex of geophysical methods including earthquake converted-waves method, magnetotelluric sounding, gravimetry, magnetometry and seismological have been implemented in southeast Kamchatka. Based on the complex interpretation of the data obtained, a geological and geophysical model of the Earth's crust and upper mantle along the bay profile of Khodutka Bay – Nikolaevka village was constructed. Genetic relationship between active areas of the Earth's crust and gold deposits was established. The hypothesis of division of the formerly unified xenoblock into two separate fragments under the impact of shear along the Nachikinskaya zone of transverse dislocations has been suggested. The southern fragment is represented by the Coastal terrane. To the west of the terrane is a permeable zone with modern volcanism. Intrusion of magma and high-temperature fluids enriched with noble metals into the upper crustal layers occurs along the magmatic channel formed in the paleosubduction zone.
ANOMALOUS REDUCTION IN THE LEVEL OF SEISMIC NOISE IN PETROPAVLOVSK-KAMCHATSKY IN APRIL 2020

Estimation of the influence of anthropogenic factors on the seismic signal is an important problem in ensuring the quality of seismological data and, accordingly, the quality of scientific research. Due to the unprecedented situation associated with the introduction of measures to prevent the spread of COVID-19, non-working days were established in Russia from April 4 to April 30, 2020. It became possible to assess the impact of a notable decrease in anthropogenic activity on the seismic signal (noise) recorded by seismic instruments in the territory of the largest city of the Kamchatka, Petropavlovsk-Kamchatsky. We study seismic noise by standard technique, based on the analysis of the probability density function of the noise power spectral density obtained from the data of the digital archive of the noise spectra of seismic stations. A decrease in the seismic noise power level below the minimum values of the same periods of previous years was registered at stations installed in schools, residential buildings (boarding schools) or near public and office buildings. The minimal anthropogenic influence stations were selected. The obtained data can be used for determination the features of the work of both stations and individual channels, taking into account their direction and position, relative to the objects of human activity.
Stop Drug’s Education by National Narcotics Agency towards Students in Palangka Raya City

This piece tries to figure out how the BNN Palangkaraya City program teaches kids not to use drugs. This study was started because there are so many stories in the media about students who have been hurt by drug use. This situation makes me worry about the next generation of students if it isn't taken seriously right away by an official organization like BNN Palangka Raya City and with the help of the community. So that this talk can go in a certain direction, the author focuses the study on how BNN Palangkaraya City's anti-drug education programs for students are put into place. This study is a type of detailed qualitative research that looks at things as they are and tries to figure out what they mean. Observation, direct interviews, and written records are all ways to gather data. Snowball sampling methods are used to show the data, reduce the amount of data, and come to conclusions. Source triangulation is used in the data truth method. The data showed that the best way to teach people not to use drugs was through the BNN Goes to School program, which is a partnership between BNN Kota and junior and senior high schools. Second, the literacy program is a partnership between BNN Kota and the mass media for P4GN socialization on national holidays. It also includes three programs for recruiting volunteers and activists who are trained in how to help protect young people from the dangers of drugs.
Motion and Object Recognition for Crime Prediction and Forecasting: A Review

It is fascinating to see how technology is beingused to monitor and detect potential threats in our society.Therefore, we propose an algorithm to build a system which detects crime in public places. To overcome this issue and to prevent it, the development of automated surveillance systems which can detect violent, abusive, and abnormal behaviour in public is an ensuring step towards public safety.Additionally, crucial to remember is that feature extraction and detection and motion techniques play a crucial role inviolence detection and such techniques help to identifyspecific patterns and behaviors that are indicative ofviolence and enable the automated system to recognize and respond to such events. Through this we can Prevent violent incidents by enabling early intervention, help lawenforcement agencies and other organizations to betterunderstand the patterns and helps understand factors that contribute to violent behavior.
PENGEMBANGAN MEDIA PEMBELAJARAN PAPAN PENJUMLAHAN DI KELAS II SDN 02 SUNGAI RUMBAI KABUPATEN DHARMASRAYA

The background of this research is that there are still many students who think that mathematics is a subject that is difficult to understand and boring. The solution to overcome the problem is by developing a sum board learning media that can help students solve problems regarding addition material and attract students' attention in ongoing learning and determine understanding of the addition concept so that it has an impact on student learning outcomes. This type of research is Research and Development (R&amp;D) research, which uses the ADDIE development model which consists of the analysis stage, the analysis stage includes material analysis, analysis of student needs, and student characteristics. The design stage (design) the design stage is carried out on the summation board media, namely the instrument design, the framework design. The development stage (develop) the development stage is tested for validity. The implementation stage carried out a practicality test, and the evaluation stage carried out an effectiveness test carried out at SD N 02 Sungai Rumbai. The results obtained from the development of the sum board media on fractional material for class II SD N02 Sungai Rumbai students, namely from the results of the validator obtaining an average value of 83% in the very valid category, the practicality value obtained an average value of 91% with the very practical category and the results obtained the effectiveness of obtaining an average value of 90% with a very effective category in improving student learning outcomes. Then the sum board on fractional material obtained from student learning outcomes with a percentage of 90% assessment is included in the very effective category. This media is said because it has an impact on student learning outcomes
Penggunaan Media Teka-teki Silang untuk Meningkatkan Hasil Belajar Tematik Siswa Kelas V SDN 33 Mataram

Learning media is something that can be used to convey information between individuals and groups. So, media involvement in learning can improve student learning outcomes. The problem of the lack of learning media to sharpen students' brains and concentration requires games. The aim of this research is to determine the use of crossword media to improve learning outcomes. This research includes classroom action research using three research cycles. The research was conducted at SDN 33 Mataram with a class V sample of 21 students. From the data obtained, it was concluded that the use of crossword puzzles can improve learning outcomes. Therefore, to create fun learning and can sharpen students' brains and concentration.
Hybrid Variable-Length Spider Monkey Optimization with Good-Point Set Initialization for Data Clustering

Data clustering refers to grouping data points that are similar in some way. This can be done in accordance with their patterns or characteristics. It can be used for various purposes, including image analysis, pattern recognition, and data mining. The K-means algorithm, commonly used for clustering, is subject to limitations, such as requiring the number of clusters to be specified and being sensitive to initial center points. To address these limitations, this study proposes a novel method to determine the optimal number of clusters and initial centroids using a variable-length spider monkey optimization algorithm (VLSMO) with a hybrid proposed measure. Results of experiments on real-life datasets demonstrate that VLSMO performs better than the standard k-means in terms of accuracy and clustering capacity.
Online learning strategies for optical neural networks

Photonic platforms for neuromorphic computing promise high-speed and low-energy computations for machine learning. However, current learning schemes in optical systems are often limited to training only a linear output layer. Here, we discuss performance gains by training input and/or internal weights of neural networks for classification tasks. We focus on optimization methods that can be directly applied to physical hardware without the need for mathematical models of the hardware or measurement of the network's state. Accordingly, we target online learning strategies that increase computational capabilities beyond reservoir computing, paving the way to more autonomous and performant photonic hardware.
Some (crucial) differences between neural network concepts and physical hardware and resulting consequences

The beginning of Neural Networks (NNs) as a computing concept were fundamentally motivated by several basic observations taken from biological brains. These principles also founded the field of neuromorphic hardware. However, today concepts and hardware have strongly drifted apart, making it difficult to re-consolidate their original connection. The computational and economic success of NNs ultimately justified the liberation from very strongly bio-inspired approaches, which consequently shifted the focus towards physical computing. I will give an overview of the physical computing trend and will highlight the fundamental aspects, which, in my opinion, need to be considered in order to arrive at an efficient merger of computing algorithm and physical hardware.