Reviewerly/exHarmony huggingface dataset:
Pelatihan Penyelesaian Soal Matematika SD Berbasis Literasi dan Numerasi di Desa Bandar Bireuen

The low level of literacy and numeracy skills for elementary school students is something that deserves attention so that it can change the level of children's abilities to be better at strengthening literacy and numeracy. The purpose of this activity is to increase the learning interest of elementary school students from various levels related to literacy and numeracy skills. This activity was carried out in Bandar Bireuen Village by utilizing existing village facilities and places. In addition, the service team from the lecturers and students also brought and provided some reading materials and mathematics learning media that could be used as a reference for children while studying. This activity took place in an orderly manner, the children looked enthusiastic with innovative and fun learning methods so as not to make children get bored quickly in learning. The children's vacation time is utilized by useful activities which are continuously accompanied and facilitated by a team of lecturers and students from the Mathematics Education Study program Almuslim University.
Multimedia Skills Development to Support Engineering Studies

The paper aims describing a collaborative international initiative of four European universities to develop a training program for supporting university teaching staff in creating and using multimedia technologies effectively (extend their digital competencies). Thus, teaching and researching staff from higher education institutions will follow a designed framework to develop their digital skills to create more realistic and attractive content that should improve engineering education (with a debate based on examples and best practices of different specializations). We relate the presented approach to MUST project (Multimedia Competencies for University Staff to Empower University—Community Collaborations, 2020–1-RO01-KA203-080399). The training curriculum and the created educational resources make up a dedicated service offered by universities through DigiCoaches who will provide training to other internal/external users/trainees in creating-using multimedia technologies effectively. The paper will enhance the quality and relevance of knowledge and skills of university teaching and researching staff in multimedia technologies by presenting an overview of the training needs assessment study. Five universities from Romania, Spain, Lithuania, Slovenia, and Republic of North Macedonia with two consulting companies from Germany and Portugal (experts in creating digital resources) will support the new multimedia curriculum and training programme development.
Analysis of Politeness in Language at Talkshow Shows Try Face-to-Face in Najwa's Eyes on Youtube

This study aims to examine the principles and violations of politeness in language talk shows try to face-to-face in Mata Najwa broadcasts on YouTube. In this study, researchers used a qualitative approach and used descriptive methods. The subject of the research is speech on talk shows, try face-to-face in Najwa's eyes on YouTube. Research subjects were obtained through you tube social media. Meanwhile, the object of this study is polite speech. Data collection techniques in this study using documentation techniques. The instrument in this study is a data card. The collected data were analyzed using a qualitative descriptive analysis. Data analysis in this study used qualitative data analysis procedures, namely (1) data reduction, (2) data presentation, (3) drawing conclusions. The results of this study found the principles and violations of politeness in the talk show, try to meet face to face in Mata Najwa's broadcast on YouTube. , the maxim of sympathy, the maxim of humility, the maxim of generosity or the maxim of generosity. (2) In addition, there are violations or deviations from the politeness principle in the form of violations of the maxim of wisdom, violation of the maxim of praise, violation of the maxim of sympathy and violation of the maxim of humility. The conclusion of this study is the results of an analysis of language politeness on talkshows, try face-to-face in Najwa's eyes on YouTube.
THE USE OF KAHOOT GAME TO ENRICH STUDENTS’ VOCABULARY AT SMA NEGERI 2 MAJENE

This research aimed to find out whether or not the use of Kahoot game effects students’ vocabulary at SMANegeri 2 Majene. The research employed quasi-experimental research method. The subjects of this researchwere two groups, the experimental and control group of tenth grade students at SMA Negeri 2 Mejene. Thedata of this research were analyzed by calculating the data using SPSS 26. The result of the data showed themean scores of experimental group pre-test was 43.20 and the control group 39.77. After both groups obtainedthe treatments, the mean score of both groups increased. The mean score of experimental post-test was 71.09and the control group was 53.03. It was also supported by the result of the independent t-test. The resultshowed that the value of Sig. (2-tailed) of 0.000 &lt; 0.05, it means Ho was rejected and H₁ was accepted. Afteranalyzing the data, the researcher found that there were differences of the score between the students whowere taught by using Kahoot Game and the students who were taught by using conventional method. As theresult, Kahoot Game was effective to enrich students’ vocabulary at the tenth grade students of SMA Negeri 2Majene.
What is the Strategic Response Adopted by SMES During the COVID-19 Crisis in the UAE? A Case Study of Two Emirati SMES

The coronavirus pandemic has triggered an unprecedented economic crisis that is having a drastic negative impact on the financial performance and competitiveness of businesses around the world. Due to COVID-19, the global economy has contracted severely, making it difficult for companies around the world to maintain adequate levels of performance and profitability. SMEs are particularly vulnerable to such disruptions, as their access to finance and human resources is much more limited compared to medium or large companies. However, since SMEs contribute significantly to a country’s gross domestic product (GDP), the threat of coronavirus to their viability poses a significant threat to the economic and social development of their host country. The United Arab Emirates (UAE) experienced the negative economic consequences of COVID-19 with its GDP witnessing a significant decline in 2020. While virtually all Emirati businesses have suffered losses due to COVID-19, small and medium enterprises (SMEs) were particularly vulnerable to the consequences of the pandemic due to their small size and newness. This study aims to find out how Emirati SMEs are strategically responding to the coronavirus crisis and coping with its impact. To achieve this, a case study was conducted on two Emirati SMEs and data from semi-structured interviews and self-administered questionnaires were used. Primary quantitative data were collected from 50 employees of two SMEs operating in the UAE. One company specialized in real estate and maintenance services, and the second was a yacht manufacturing company that also provided maintenance services. In addition, primary qualitative data were collected from 10 managers and owners of these SMEs. Our research found that supply chain disruptions, supplier bankruptcy, limited access to financial resources, demand shortages, and limited field-service activities were among the main challenges faced by the two SMEs during the COVID-19 crisis. The strategic responses that were actively adopted by these SMEs included monitoring the external environment for business opportunities, adjusting supplier management, servitization, and establishing new supply chain links and partnerships. By developing an understanding of the strategic responses of the two SMEs, our research contributed to both theory and practice by applying the concept of crisis management to SMEs facing the COVID-19 crisis, a crisis that can be considered a “black swan” event. By exploring this topic, the research contributes to the existing body of knowledge and to our understanding of how SMEs in a developing economy respond to COVID-19 and how resilient they are to this major crisis.&#x0D; Keywords: SMEs, COVID-19, crisis management, strategic responses
Perancangan Sistem Data Wirehouse untuk Meningkatkan Kinerja Pelayanan Bantuan Bagi Masyarakat pada Kantor Lurah Oebobo dengan Menggunakan Borland Delphi 7.0

Abstract - Computer technology represent important medium which used in various actifity management of governance. But that way the applications in computer technology still have common traits, and there is no application which in making special for the making of bank statement able to water down service of aid to society in braiding cooperation between governmental institution and society. Result of which obtaining from this research is a System Data of Warehouse able to in utilizing to assist increase service of aid to society which in the form of giving certificate.&#x0D;
An Environment Perceptive on Solar Installation for University Campus: A Case of Universiti Utara Malaysia

Sustainable energy has become the main agenda globally. Among the renewable energy (RE) sources, solar provides huge potential in electricity production due to the abundance of sun radiation. As tropical country Malaysia enriched with solar radiation the whole year. This paper aimed to study the environmental perspective towards solar installation in the UUM campus building. Climate change sharply decreased by implementing the solar photovoltaic (PV) system up to 91.2 % compared to the conventional source of electricity supply. The global warming impact of solar panel installation was in the range of 44.74 to 178.99 g CO2EQ / kWh. The most contributing process towards this impact was transportation. Installation PV in UUM campus, could avoided carbon dioxide emissions equivalent to 996 ton of waste recycled instead of landfilled or 47583 tree seedlings grown for ten years. Hopefully, the result encourages stakeholders to consume solar power as the primary source of renewable energy components on the way to achieving the Malaysia government’s target of 50% RE in electricity generation.
Generating video game characters using StyleGAN2

GANs have been getting better and better each year. The state of the art GAN models for generating 2D images have become so good it is hard to differentiate generated images nowadays. In this paper we create 3 different sparse data sets from video game assets and train them with StyleGAN2 to generate new artwork based on the previously existing artworks of the video game in question
Fall Support Assistant for Elderly and Aged People

Abstract: The Android application that can identify older people who may fall. Android is an operating system that Anyone can easily construct their own application on an open source platform. Families and medical experts are often concerned about older people falling. According to experts, falls are the seventh rank for death cause in the US. Adults 68 and older who fall untreated run the risk of major health problems because 21% of falls necessitate emergency medical attention and 11% of falls will result in the fractures. This is the rationale for the creation of a system for the elderly that can detect falls and alert the caregiver. The software keeps tabs on the person and notifies the caregiver if anything is wrong. This Android app's ability to send alarm messages to the caregiver with the necessary information is one of its important features. Important details like their geolocation and directions are included in the alert messages. The individual has the authority to put an end to a false alarm before taking any further action. This project is to help the elderly. Through a user-friendly interface, the smartphone application can spot possible falls and provide alerts to families, doctors, and other caregivers.
THE BACKGROUND CONCENTRATION OF SOME HEAVY METALS AT NYSC ORIENTATION CAMP LAYOUT, KATSINA

An anthropogenic activities leads to the presence of heavy metals in an environment which lead to environmental pollution. The area has become gradually engage with various waste such as animal waste, refused dump, spilling of petrol, kerosene, engine oil etc which can introduces the trace heavy metals. The research of background concentration of various heavy metals in soil samples taken from the NYSC orientation camp layout, which is situated in Katsina state, Nigeria, at latitudes of 643.7 m to 798.5 m and longitudes of 18 21I32IIE to 18 28I37II, was conducted. At intervals of 100 m, soil samples were taken from the locations, and each 100 m was divided into 10 m. (A1A10). In order to determine the concentration of the five examined heavy metals, a flame atomic absorption spectrophotometer (FAAS) was used (Co, Cr, Pb, Cd, Cu). The locations have an average heavy metal concentration of:- 0.16009, 0.55449, 0.02804, 0.00231, and 0.10406 ppm Respectively. Significant differences were observed by comparing the mean concentration of the heavy metals in the study areas with world health organization (W.H.O) threshold limit, national and international studies and it was suggested that the samples were not contaminated with the heavy metals. But the metals were detected and there is no need for immediate implementation and remediation measures by the relevant authority. It was and recommended that industries, factories and filling station should not be located at the area in order to minimize human activities so as to maintain stable environment free from pollutants
Language Acquisition (Types of Sentence) of Three to Four Years Old Children

This study discussed the language acquisition of children aged 3-4 years. In general, children aged three to four years are able to produce various types of sentences to communicate their goals to others. This study aimed to describe what types of sentences are acquired by children aged three to four years. This type of research was qualitative research using the descriptive method. The collection of data in this research utilized recording and note-taking techniques. The data analysis technique used in this study consisted of data reduction, data presentation, and conclusion drawing. The results of this study indicated that all types of sentences in the form of declarative sentences, interrogative sentences, imperative, and exclamatory sentences can be said by children aged three to four years. Sentences that are often said by children aged three to four years are news sentences (declarative).
Reality of the Real Lecturer, Tutor and Teacher: A Discussion Paper

The aim of this academic paper is to discuss and illustrate the significant role and duties of a lecturer, a tutor and a teacher in the process of learning and explain their utmost contribution to the promotion of the students educationally, emotionally and ethically. At the beginning of the academic paper, a brief description has been explained to distinguish between the teacher and the lecturer and between the tutor and the instructor. Then, the duties and responsibilities of a lecturer, a tutor and a teacher have been clarified. It is recommended that teachers and lecturers should be real leaders to their students and encourage them to improve their standard of education and promote their personalities by adopting better qualities and ethics in their life. Educational centers are expected to give more emphasis on the importance of training teachers, lecturers and tutors in order to help them teach and react to students positively and efficiently.
A Data Driven Approach for Language Acquisition

Automatic Language Acquisition focuses on teaching an agent to acquire knowledge to understand the surrounding environment and be adaptive to a new environment. The traditional language understanding models fall into three main categories, supervised, semi-supervised, and unsupervised. A supervised approach is usually accurate but requires a large training dataset, which building process is expensive and time consuming. In addition, the trained model is difficult to shift to other domains. On the other hand, building an unsupervised model is cheap and flexible, but its performance is usually significantly lower than the performance of the supervised one. With a relatively small set of guidance at the beginning, a semi-supervised approach can teach itself through the unlabeled dataset to achieve a comparable performance as a supervised modal. However, building the guidance is not a trivial task since the learning process won’t be effective if the relationship between labeled data and unlabeled data. Different from the traditional modals, when children learn, they do not require large amounts of training data. Instead, they can accurately generalize their knowledge from one object to other objects. In addition, the communication between them and their parents/teachers/peers helps to fix the wrong claims from the generalization. In this paper, we present a multimodal system that simulates the children’s learning process to acquire the knowledge of the entities by studying three types of attributes, descriptive (the outlook of an entity), defining (the components of an entity), and affordance (how an entity can be used). We first utilize an unsupervised Emergent Language (EL) approach to generate symbolic language (EL codes) to interpret the given images of the entities (10 images per entity). The K-Mean clustering methods to group entity images that share the similar EL code. Then we employ a data driven approach to teach the agent the attributes of the entities in the clusters. We first calculate the tf-idf scores of the words from the text pieces (extracted from Corpus of Contemporary American English, a balanced corpus for American English) containing an entity. From the top ranked words with a few sample text pieces, the human expert tells which words are attributes and the attribute type. The human expert also marked the text pieces having the attributes. For example, red is the descriptive attribute of cup in “the red cup’ but not in “a cup of red wine”. The learned knowledge is sent to a bootstrapping modal to find not only new attributes but also new entities. Our system results show that the data driven approach spent much less time but learned more attributes compared with the baseline of our system, teaching the agent the defining attributes of the entities using a carefully designed curriculum.
Analisa Penyakit Jantung Menggunakan Algoritma Naïve Bayes

Every year more than 2 million Americans die from heart disease which is the number one killer in the world. The results of the Sample Registration System (SRS) survey show that heart disease is the highest cause of death at all ages after stroke, which is 12.9%. The method used in this study uses the Naïve Bayes algorithm. The purpose of this study is to determine if anyone with heart disease has a stroke. From the research results obtained by splitting data using 80:20 to get a prediction accuracy rate of 83% for heart disease prediction cases. In the trial results using the label test data obtained, namely no stroke.
ON SOFT AND FUZZY SOFT RELATIONS WITH THEIR APPLICATIONS

In our day to day life we face many problems which are abstract or vague in nature. These problems cannot be solved only by using simple mathematical tools. To deal with such kind of problems a new technique popularly known as Fuzzy Set Theory was discovered. Fuzzy set is the generalization of crisp set and is used in almost every field of life including Medical Sciences, Business, Administration, Social Science and Operation Research. Later on, a new concept of parameterization of power set of the universal set was introduced. Consequently, Fuzzy Soft Set Theory was defined by embedding Fuzzy Set and Soft Set. In the present communication fuzzy binary relation is described and its applications are studied. The concepts of soft and fuzzy soft relations are also defined with their applications in decision making problems.
Forecasting Construction Price Index using Artificial Intelligence Models: Support Vector Machines and Radial Basis Function Neural Network

Estimation of Construction Price Index (CPI) is important for a market economy and it is a measure to manage construction investment costs. This is a tool to help organizations and individuals to reduce the effort and management of expenses for construction projects by reducing time of procedures for calculating and adjusting the total investment for the estimation and evaluation of contract price. The CPI is an indicator that reflects the level of construction price fluctuations of the type of work over time. In this study, the CPI data of Son La province, Vietnam from January 2016 to March 2022 (75 dataset) has been used for the modelling. Two Artificial Intelligence (AI) models namely Support Vector Machine (SVM) and Radial Basis Function Neural Network (RBFN) were proposed to predict the CPI based on limited input data. Performance of the models in correctly predicting CPI was evaluated using standard statistical indicators such as Coefficient of Determination (R2), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) based on the historical CPI data. The results show that performance of both the models is good in predicting CPI, but performance of the SVM model (R2 train = 0.915, R2 test = 0.811) is the best in comparison to RBFN model (R2 train = 0.985, R2 test = 0.733). The proposed AI models can be used to quickly and accurately predict the CPI of an area to help management agencies, investors, construction contractors for assessing cost of construction for the purchase and development of properties/ infrastructures.
A Systemic Functional Analysis on Texts Written by ESL Learners, and A Text on Daily English Canada Newspaper, and Its Implication for English Teaching and Learning Improvement

This study aims to reveal characteristics of English language produced by English as Second Language (ESL) Learners in the form of written text. By using a theme and rheme analysis. Within the Systemic Functional Analysis Framework, the writer compared the features of English language utilized by ESL learners and those by native proficient writer of an English Newspaper called English Daily Cananda for their textual meaning. The Analysis comprises analysis of different aspects of language use in a written text which include the analysis of thematic structure, thematic development, and textual cohesion. The result of the analysis shows the distinctive characteristics amongst the three texts from which teachers of English as Second language classes can draw a conclusion in order to design a lesson plan which is more suitable for the students. It is expected that this analysis can provide a way of understanding the limitation of the resources available in students’ mind, and whether or not the students successfully utilize these resources for social purpose, thus gives contribution and implication towards the future direction of the English as Second Language teaching and learning.