Reviewerly/exHarmony huggingface dataset:
Filter-enhance temporal graph neural network for continuous-time sequential recommendation

Sequential recommendation systems exploit the user's historical item sequences to predict their next actions. Recently, dynamic graph-based methods have been studied and achieved excellent performance for recommendation. They capture dynamic collaborative signals between different user sequences by stacking multiple network layer with attention mechanism to solve insufficient interest mining problem caused by use a single user’s sequence. In online platforms, recorded user behavior data may contain noise, and stacking multiple attention network is easy to aggravate the effects of noise. In this paper, we propose Filter-enhance Temporal Graph Neural Network for Continuous-Time Sequential Recommendation (FTGRec), which connects the related interactions of different user by dynamic graph and design a module combining Fourier transform and attention mechanism to filter the noise data, to predict the order pattern of users better. Empirical results on three datasets indicate FTGRec outperforms other comparative methods.
Message gain aggregation architecture: a scalable graph neural network for combining large-scale neighborhoods

Graph Neural Networks (GNNs) extend traditional deep neural networks to graph-structured data and have greatly succeeded in graph representation learning scenarios. However, the current mainstream GNNs based on message passing mechanisms are challenging to scale to large graph data due to their severe scalability and over smoothing issues. In this paper, we propose a novel scheme called the Message Gain Aggregation Architecture (MGAA) to alleviate the over smoothing problem while maintaining a scalable architecture and good expressiveness. Our MGAA network considers the nodes themselves separately from their neighbors and treats the neighbors as gains to be imposed on the nodes. A theoretical complexity analysis demonstrates that our proposed MGAA network maintains linear temporal and spatial complexity. Furthermore, the experimental results show that our model achieves sufficiently competitive performance in a comparison with the current popular state-of-the-art GNNs.
Exploring the Feasibility and Effectiveness of Youth-Aging in Reality TV Programs Using Virtual Reality Technology

This paper explores the feasibility and effectiveness of using virtual reality (VR) technology to attract young viewers to TV programs. The aging audience of TV programs is causing difficulties for the industry, and VR technology can create a new virtual space and a rich sensory experience to engage younger audiences. VR can also create new program forms, increase audience participation, and enhance the sense of belonging. From the perspective of program effect, VR can produce more modern programs, enhance entertainment value, and improve real-time performance. Studies show that the use of VR technology in TV programs attracts more young viewers, improves ratings, and increases user satisfaction. The paper concludes that the application of VR technology is crucial in the process of TV program youth and has great potential for future development. It can create a novel program experience, increase audience participation and satisfaction, attract more young viewers, expand the market space, and enhance the social influence of TV programs.
Exploring Cybercrime Victimization of Social Media Users: A Comparative Review of Routine Activities Theory and Low Self-Control

The utility of the Routine Activities Theory and Low Self-Control Theory in understanding cybercrime victimization has been explored by scholars. However, this paper seeks to understand which of the two theories properly establishes causality in cybercrime research. The paper found that, although routine activities theory and low self-control offer significant results in cybercrime research, some elements of the theories do not provide utility in the cyber domain and may not properly explain cybercrime victimization. This research focuses on social media cybercrime victimization. Suggestions for future research are also provided.
PEMBUATAN VIDEO PELAYANAN KANTOR DESA SEKURA BERBASIS ANIMASI 2D

Sekura Village Office does not yet have the media to deliver the services at Sekura Village Office. The services at Sekura Village Office are in the form of population administration such as ID cards, family cards, birth certificates, marriages, deaths, and business permits. Information about services at Sekura Village Office has not been visualized properly. Currently, the information can be obtained by coming directly to the village office. Therefore, a 2D animated video was made entitled Keluarge Pak Wawan di Kantor Desa Sekura, which can provide information for the community about services at Sekura Village Office. This study aims to provide information about the services of Sekura Village Office so that it is better known to the public, especially the Sekura Village area in the form of 2D animation. The development method that will be used in making 2D animation is the Villamil-Molina method. This development method consists of 3 stages, namely Pre Production, Production, and Post Production. The results of this study are 2D animation in MP4 format.
INSTITUTIONS OF HIGHER LEARNING'S CODES OF CONDUCT AND PROFESSIONAL ETHICS

The idea of professional ethics is seen as being of the utmost significance in achieving the asked points and objects in advanced educational institutions. Information about professional ethics is given to the people as they develop. They admit this information from their preceptors and family members. The capability to comprehend the applicability of professional ethics and put it into practice allows people to enhance their lives and negotiate both particular and professional objects.It's essential for scholars to consider professional ethics while pursuing advanced education.This idea is pivotal for everyone who works in educational institutions, including directors, heads, professors, and staff members as well as scholars.It's pivotal for people to make sure they communicate easily,establish strong fellowship with others, parade honesty and righteousness, and perform their job scores in an orderly fashion in order to execute professional ethics in an effective manner.The crucial motifs that have been considered in this exploration paper are the description and significance of professional ethics,their pretensions,the different kinds of professional ethics,and ways to strengthen them.
Path Planning for Mobile Robots Based on Algorithm Fusion

The path planning problem of mobile robots is one of the hot issues in the field of mobile robot research. To find an optimal or near-optimal path from the starting state to the target state in the motion space that can avoid obstacles based on some or some optimization criteria (e.g., shortest travel route, shortest travel time, etc.) is what we call the path planning problem for mobile robots.
Designing of 2d-IIR Filter Using a Fused ESMA-Pelican Optimization Algorithm (FEPOA)

Many Digital Signal Processing (DSP) applications and electronic gadgets today require digital filtering. Different optimization algorithms have been used to obtain fast and improved results. Several researchers have used Enhanced Slime Mould Algorithm for designing the 2D IIR filter. However, it is observed that the Enhanced Slime Mould Algorithm did not achieve a better solution structure and had a slower convergence rate. In order to overcome the issue a fused ESMA-pelican Optimization Algorithm (FEPOA) is utilized for designing the 2D IIR filter which incorporates the pelican Optimization Algorithm with the Enhanced slime Mould Algorithm (ESMA). At first, the Chaotic Approach is utilized to initialize the population which provides the high-quality population with excellent population diversity, after that the position of population members is to identify and correct the individual in the boundary search region. After that, by the pelican Tactical Approach is to examine the search space and exploration power of the FEPOA, then the Fitness is calculated randomly, and the best solution will be upgraded and then moved towards the iterations. It repeats the FEPOA phases until the execution completes. Then the best solution gives the optimal solution, which enhances the speed of convergence, convergence accuracy and the performances of FEPOA. The FEPOA is then implemented in the IIR filter to improve the overall filter design. The results provided by FEPOA accomplish the necessary fitness and best solution for 200 iterations, and the amplitude response will achieve the maximum value for =2,4,8 as well as the execution time of 3.0158s, which is much quicker than the other Genetic Algorithms often used for 2D IIR filters.
How can an educational chatbot’s feedback influence human attention?

Educational chatbots have been shown to be useful assistants in computer-supported learning settings. However, how does feedback of an educational chatbot impact on the learner’s attention? Thus, this paper proposes a study to measure changes in human attention when learning by using an educational chatbot Liza that is intended to improve human reasoning ability. In total, 18 participants participated in the study and had a conversation with Liza. During the interaction with Liza, the attention of the study participants was measured using a mobile electroencephalogram (EEG) device. Three findings have been determined based on statistics methods. First, it was found that there was a significant attention effect occurring in 54% of the times, after the educational chatbot showed feedback and the attention measurement took place over the length of a task. Second, when differentiating the type of feedback, positive feedback had a significant effect in 71 of these 137 cases (51.82%) and negative feedback had a significant effect in 66 of the 137 cases (48.18%). Third, statistical results showed that there was no significant difference in attention at the significant level of 0.05 during the 10 seconds before, and 10 seconds after positive feedback is received. Similar is the case for negative feedback.
USING GOOGLE JAMBOARD TO TEACH WRITING SKILL

This paper explains about how to use Google Jamboard as a digital media to teach English language with the subject of writing skill. This paper does not use a research methodology because the content of this paper is an explanation of the Google Jamboard, identification of the tools and their use in the Jamboard, and also strategies for displaying the Jamboard when carrying out the learning process both virtual meeting and face to face in the classroom. Google Jamboard is one of digital board where the writer can write, drew and created their ideas with use some tools in Jamboard application. Through Google Jamboard, teacher will find it easier to collect, correct, and save student’s writing project because in one link all students can write or edit the Jamboard file. So, this is very effective to use as a digital learning media, especially learning English in the form of writing skills lessons.
Implementasi Metode Average Akuntansi Dalam Membangun Sistem Informasi Inventory Menggunakan Framework Codeigniter

The purpose of this study is the application of the Average Accounting method in building an inventory information system using a codeigniter framework to help warehouse managers of Bank Nagari Koto Baru Branch in completing inventory reports quickly and accurately. This research conducted a variety of problems, such as: data collection of available goods, supplier data collection, data collection of incoming goods, data collection of users, and data collection of goods used, then the data is processed into inventory reports using Microsoft Excel software. During the data collection process the warehouse manager must be careful to avoid data redundancy (double data) because the number of items to be recorded is very large. The system design in this study uses the Information Systems Flow (ASI) approach. The results of this study are an inventory information system by implementing the average accounting method using a codeigniter framework as a product that is very useful for the warehouse manager of Bank Nagari Koto Baru Branch to facilitate warehouse operations quickly, precisely, easily, accurately and produce quality inventory reports to help in decision making. This system is expected to be a very useful tool for managers in optimal warehouse operations.
iTUTORS App/Platform for Online Education

&lt;p&gt;What does the iTUTORS App look like and what will make it different and unique in a realm of educational Apps everywhere in the world? The core idea of this project is to create a marketplace for free or affordable education, where students or learners can meet with teachers and tutors who speak their own language regardless of where they are living. This platform will help both of them; the students to get free or affordable tutoring and the teachers to earn extra income to improve their living cost particularly in the war zones or poor communities. &lt;/p&gt; &lt;p&gt;This project aims to build a new platform for providing online live tutoring for learners through a mobile phone App and make it accessible for anyone in the world. It will launch its first stage with free service in the Middle East, where many countries are suffering from armed conflicts. In Yemen and Syria, for example, this resulted in millions of students dropping from schools during the past few years. This project will create a platform in both forms of mobile Progressive Web App (PWA), compatible with Android and iOS devices, as well as a website to make it easy to access for any student or teacher by any device they have.&lt;/p&gt;
Voice-based Image Captioning using Inception-V3 Transfer Learning Model

This study presents a deep learning model to serve as an image caption generator that generates descriptions or captions of the images in proper natural language sentences, which will then be read aloud by the text to speech translator. With the growing demand for tools like this in various fields such as assisting the visually impaired, self-driving vehicles, and virtual assistants. Hence, the development of such systems has become increasingly important. The proposed system utilizes a combination of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) with attention models, specifically by using the Inception V3 model and a variant of RNN called Gated Recurrent Units (GRU).
Prediction of the total solar irradiance based on the CEEMDAN-BiGRU-Attention model

Total solar irradiance (TSI) data play an important role in guiding production, but they are difficult to predict accurately because of nonlinearity and noise. In this paper, a hybrid model of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a bidirectional gated recurrent units network (BiGRU) that introduces an attention mechanism into adaptive noise is proposed. First, the CEEMDAN method is used to decompose the TSI. Then, the fuzzy entropy (FE) of each component is calculated, and the input sequence is synthesized by K-means clustering of the near waves. Finally, the combined sequences are trained in a BiGRU model with multiple hidden layers, and the attention mechanism acts on the time step. In this paper, the TSI at 5485 time points was predicted with MAE, MSE and MAPE values of 0.1122, 0.0259, and 0.00008, respectively. Compared with BiGRU, the hybrid model decreased by 11.74% on MAE, 5.29% on MSE and 0.009% on MAPRE. The CEEMDAN-BiGRU-Attention model has good application prospects in the field of TSI prediction.
Online Subjective Answer Verifying Using Artificial Intelligence

Abstract: Every year educational institutes conduct various examinations, which include institutional and non-institutional competitive exams. Nowadays online tests and examinations are becoming popular to reduce the burden of the examina- tion evaluation process.Hence, an Artificial Intelligence-based answer verifier is proposed to do the job of examiner/evaluator automatically. As a result of this artificial intelligence-based an- swer verifier, the evaluator’s time and energy can be conserved, with improved work efficiency
Distorted Korean Idol’s Scandal, Deceitful Media, and The Role of Forensic Linguistics

A celebrity’s scandal can be an enthralling theme for the media to produce news, either factual or fabricated. This research primarily focuses on distorted content or media manipulation to report it. It explores the correlation between misleading news and the motives behind twisted reality. The method used in this research is a descriptive qualitative method through the lens of the forensic linguistics approach, supported by Villa’s interpretative pragmatics (2010). The collected data were from selected sources of distorted media reporting, especially about a highly considered Korean singer’s crime, known Seungri of Bigbang. His charge was not direct link with sexual abuse and systematic drugs, which is in fact unrevealed wealthy people committing them. Even nonconsensual disclosure of sexually-explicit videos was committed by other celebrities. Yet, the media fraudulently blended and misrepresented Seungri as the key figure of the scandal in a club named ‘Burning Sun’. Society was misled to hate and blame him. This research shows that passive constructions, lexical references, and subject matters of the texts become linguistic evidence of fact distortion. Manipulating celebrity’s scandal is driven by political goals, such as creating mistrust and bewildering larger audiences, especially in South Korea about proving the justice system as the actual culprits are withdrawn. This research is noteworthy since there are interwoven claims of the power of media to wriggle out of legal punishments after spreading distorted facts. Hence, it implies that pragmatics is applicable and efficacious to prove the case. It leads to defamation by media, correlated with forensic linguistics. To reveal the distorted facts by deceitful media, this study expectantly contributes in enhancing social awareness of the truth behind blatant public outrage and its social consequences.
Formation of future specialists research competence in the process of professional training

The problem of forming the research competence of future specialists is presented as a factor of readiness for effective training in the process of professional training. The definitions of the concepts "competence" and "research competence" are given, the difference between these concepts is shown, and similar points are treated. The possibilities for the formation of research competence in the process of research activity are shown. The key concepts that show the important conditions in the educational institution for the organization of the research activity of the students of education are highlighted (independence, search, initiative, experiment, practical action, a situation of uncertainty, cooperation, the presence of different points of view, contradictions). Tasks are set and ways to solve them are shown in the process of organizing research activities. Pedagogical conditions are proposed, they are scientifically substantiated, and they are laid as a basis for the methodology of the formation of research competence of education seekers in the educational process. The methodology is represented by the introduction of experimental technology of continuous pedagogical influence of teachers on the development of educational and research activities of students. Pedagogical approaches are singled out, as possible ways for the effective formation of the research competence of future specialists.
Retracted: Research on the Application of Blockchain in Smart Healthcare: Constructing a Hierarchical Framework

[This retracts the article DOI: 10.1155/2021/6698122.].
Stylistic analysis on Douglas Malloch�s �Be the Best of Whatever You Are� poem

The current study aims to analyze the stylistic devices and describe their realization in constructing the theme and meaning in Douglas Malloch�s �Be the Best of Whatever You Are� poem. This descriptive qualitative study applied critical content analysis as an approach. Leech &amp; Short�s (2007) stylistic theory was adopted as an analytical tool to examine the levels of language (style) in the poem. Based on the findings, there are 67 items found in the phonological level, 60 items found in the graphological level, 7 items found in the morphological level, 151 items found in the lexical levels, 30 items found in the syntax level, and lastly, there are 13 items found in the semantic level. The stylistic realization has revealed that Malloch uses varied linguistic elements in constructing the theme of this particular poem. Importantly, Malloch, through this poem, conveys a message of hope and motivation for people of all ages to always remember that a complex reality and negative aspects in life can be juxtaposed with the positive ones such as being the best version of ourselves and share it to the world.
FACULTY OF GEOMATICS AS THE FOCAL POINT IN GEOMATICS EDUCATION IN SRI LANKA

Abstract. The Faculty of Geomatics is one of the nine faculties of the Sabaragamuwa University of Sri Lanka. It offers high quality geomatics related degree programmes, and consists of a well-qualified staff and latest technological resources. It delivers highly job oriented programmes and the curriculums of these programmes have been developed to meet various national and international standards and the requirements of professional bodies. As the first time in the history of the Sri Lankan university system, the BSc in Surveying Sciences Degree Programme was introduced by the Faculty of Geomatics established in 2004. This was an essential requirement for the country due to the high demand of surveying industry. Throughout the past decades it is being greatly developed both in infrastructure and human resources. Presently, the faculty has a student population of about 500 with the aim of producing about 150 graduates annually. Geomatics graduates have a variety of rewarding local and global employment prospects as land surveyors, land administrators, site managers, or site engineers in both the public and private sectors, including cadastral, mining, hydrographic surveying, and any other remote sensing and GIS-related disciplines. Graduates with knowledge in the geospatial stream could work as GIS analysts, image analysts, image interpreters, and in other positions in the business. Graduates of the program can take on useful tasks in their field with ease.
Determinants of farm investment in Somalia: A var model application

The main objective of this study is to examine the determinants of farm investment in Somalia using quarterly time-series data from 2015 to 2021. The study selected financing assets (FA), farm output (FO), credit for commercial banks (CCB), and saving (S) as macroeconomic variables. The augmented Dickey–Fuller (ADF) test was employed to evaluate the stationarity of the variables, and the Granger causality test was used to assess the causal relationship between the study variables. It was found that all variables became stationary at the second difference, with a trend for each of the three critical levels of 1%, 5%, and 10%. The Granger causality test indicates a unidirectional causal connection between farm investment, farm output, financial assets for commercial banks, savings for commercial banks, and loans for commercial banks in Somalia. The vector autoregressive (VAR) estimation revealed that the coefficient of determination explains 98% of the model, and the ordinary least squares (OLS) estimation showed a highly significant P-value. The results show that financing assets and savings will increase farm output if managed effectively and efficiently. Based on the findings, the study recommends that the government focus on the overall institutional framework in Somalia to facilitate economic growth, poverty reduction, and sustainable development.