Reviewerly/exHarmony huggingface dataset:
Multi Task Learning for Captioning Images with Novel Words

In this article, we introduce a Multi-task Learning Approach for Image Captioning (MLAIC), which is inspired by the fact that people can readily finish this job given their proficiency in a variety of fields. There are three crucial components that make up MLAIC in particular:(i)A multi-object categorization model that uses a CNN image decoder to learn intricate category-aware picture representations (ii) A model for creating image captions that uses an LSTM-based decoder that is grammar conscious and shares its CNN encoder and LSTM decoder with an object categorization job to create text summaries of pictures. The additional object categorization and grammatical skills are particularly relevant to the job of creation. (ii) A syntactic generation model that enhances LSTM-based decoders that are syntax cognizant. An effective grammar creation model for the image labeling model is (iii).Our model beats other strong competitors in terms of efficiency, according to testing results on the MS-COCO dataset.
Analysis of Digital Learning Media "Typing Land" to the Reading Ability at Kak Seto School

This study aims to analyze the reading ability of students at Kak Seto School and determine the effectiveness of digital learning media in improving their reading skills. The study uses a qualitative approach with a case study design, focusing on three first-grade students at Kak Seto School who cannot read. Data is collected through observation, documentation, and interviews with teachers from the TIK (Technology of Information and Communication) department. The study's findings indicate that the students have a common problem: Sensory Processing Disorder, and that digital learning media can effectively improve their reading abilities. The research implications and limitations of the study are that it focuses only on three students at Kak Seto School, and the findings may not be generalizable to other schools or contexts. However, the study has practical implications for teachers, who must proactively introduce children to letters and train their learning abilities. The use of digital media can facilitate critical thinking and problem-solving skills, which are essential for academic success. The originality and value of this study lie in its contribution to understanding the role of digital learning media in improving reading abilities in children. The study provides important insights into the benefits of digital media in teaching and learning and highlights the need for further research. By utilizing digital media effectively, educators can help enhance the reading abilities of students struggling to learn in traditional classroom settings. Overall, this study has important implications for educators, policymakers, and parents interested in improving children's literacy rates.
An Exploration of EFL Teachers’ Perceptions and Experiences of E-Learning Implementation through the Concern-Based Adoption Model

Concerns-Based Adoption Model (CBAM) is a framework that can be used to guide the implementation of e-learning in educational contexts. CBAM focuses on the problems individuals have during the implementation process and helps to discover solutions to these difficulties. The objective of this study was to get an overview of EFL teachers' perspectives and practices about implementing e-learning based on the CBAM. The CBAM was employed as a model to grasp the challenges and levels of e-learning adoption among English as Foreign Language (EFL) teachers. For this study, ten EFL teachers who knew how to use e-learning participated in semi-structured interviews to provide qualitative data. The interview transcripts were subjected using the thematic analysis. According to the results of this research, some EFL teachers were early adopters of e-learning, but others have shown considerable rejection. Among the teachers' objections were technical obstacles, a lack of training, and skepticism over the effectiveness of e-learning in increasing students' language skills. The study also revealed that the CBAM was an excellent tool for identifying the issues and degrees of e-learning usage among EFL teachers. The model offers a framework for describing the stages of e-learning adoption, from awareness to regular use, and strategies to assist teachers in their adoption process. This study expands our knowledge of the opinions and experiences of EFL teachers towards implementing e-learning. The findings indicate the need to provide teachers with workshops and training to increase their usage of e-learning and enhance the efficacy of EFL teaching instruction.
Prioritized Anytime Dynamic A* Path Planning for Multi-Agent Vehicles in Heterogeneous Traffic

For a centralized path planning in the multi-agent path finding (MAPF), especially for road vehicles using traffic rules, a prioritized planning algorithm is one of the key methods that deal with real-time problems. The time used for planning is limited, especially when a number of agents are present, and a suboptimal solution has to be found. If possible, the previous solution should be reused for the replanning. Anytime Dynamic A* (AD*) can both replan the path when the environment is changed dynamically and is able to return a safe, but potentially suboptimal solution in case where a maximum cycle time is exceeded. A prioritized order selection is based on the path length to the goal. To model heterogeneous traffics with vehicles and pedestrians, a combination of the bicycle and pedestrian obstacle reciprocal collision avoidance algorithms (B-ORCA and PORCA) is used to realize a naturalistic interaction among the multi-agent system and the dynamic environment. The number of agents and of dynamic obstacles is randomly generated and the time used for planning is analyzed in view of the limited time available in the simulations. In this work, the path planning of up to three agents can be executed in real-time in MATLAB.
AI’s Role in Enhancing the Construction of Regional Primary and Secondary School Teachers

This paper investigates and analyzes the current situation of regional teaching staff and explores the path of AI in enhancing the construction of primary and secondary school teachers. Recent state documents have emphasized the urgent need for AI to improve teaching staff development. The study reveals issues in the construction of primary and secondary school teachers' teams in teaching, management, and training. For instance, classroom teaching is limited by time and space, making it difficult to achieve personalized learning for students and differentiated teaching for teachers. Teacher training lacks individual and group diagnosis, which does not consider teacher individuality, differences, and hierarchy. The evaluation of teachers in regional management and service tends to be subjective, and the awareness and application of data are inadequate. The study proposes addressing these problems by building and applying teacher big data, developing an AI assistant for teachers, and upgrading the quality of teaching intelligent monitoring systems. The proposed measures aim to promote high-quality development of regional teaching staff by establishing the main path for AI to enhance the construction of primary and secondary school teachers.
Efektivitas Pembelajaran Vlog Berbasis Zoom pada Mata Kuliah Perencanaan Pembelajaran Prodi PAI di IAIN Manado

Zoom-based learning basically results in passive learning between educators and students so they cannot provide positive stimulation in the learning process. However, this is different from zoom-based learning conducted at IAIN Mando which can be used as a reference for inspiration for students that online learning does not result in passive learning. Studies on online learning are very important to do because at this time apart from the influence of Covid-19 where learning must be done online, but also technological developments that make learning possible in the digital era. This paper aims to reveal the effectiveness of zoom-based vlog learning in the Learning Planning course at IAIN Manado, as one of the State Islamic Higher Education Institutions that implements zoom-based vlog learning. This study reveals how effective it is for students after studying online and what are the supporting factors in implementing zoom-based vlog learning in lesson planning courses. This research is a type of qualitative research, and the methods used are interviews, observation and documentation. Interviews were conducted with 8 students as informants, while the interviews used in this study were semi-structured interview techniques where the questions posed followed the flow of the conversation. This research shows that the State Islamic Religious College of IAIN Manado can be an inspirational reference in seeing its effectiveness in the online learning process. This study shows that the effectiveness of zoom-based vlog learning conducted at IAIN Mando in PAI study programs remains active, this activity can be described as providing a positive response stimulus, can develop student creativity. Learning is said to be creative where the learning process involves students, is not centered on the lecturer, provides arguments based on previously prepared material and makes the best use of time. The supporting factors in implementing zoom-based learning in PAI study programs at IAIN Manado are developmental factors and policy factors.
Practical Research on School’s “Smart Collaboration” Management Platform in the Background of Intelligent Governance

As a pilot school for the construction of modern school system in Chengdu, the Zhongliang Xiangyun Branch of Longjiang Road Primary School has continuously innovated and reformed the management system and mechanism. After nine years of rapid development, the school has completed the iterative update from digital campus to data campus and then to smart campus. Therefore, the comprehensive integration of existing reform experience and smart campus has become the focus of our continuous thinking and exploration in the near future. While pursuing high-quality development of schools, the level of school governance is particularly important. Therefore, intelligent governance, as an endogenous force leading the innovation of modern school governance, relies on intelligent technology to deeply integrate intelligent management and school governance. We will truly realize the transformation from the rule of man to the rule of all, from subjective judgment to the governance of schools empowered by digital intelligence, and achieve scientific decision-making in school management, accuracy of intelligent department services, and equalization of resource allocation. To further improve the influence of the school and the strength of software and hardware, we integrate smart education and advocate collaborative governance, so that students can grow in smart education and teachers can improve their professional abilities in modern campus. To achieve this goal, we upgrade the school's intelligent environment construction and realize the convenience of education and teaching services. At the same time, we integrate the innovative mode of “intelligence+collaboration”, construct a new form of “smart collaboration” of the school, and realize the high-quality development of school management.
MODEL OF THE KEY COMPONENTS OF THE PEDAGOGICAL COMPETENCE OF THE ENGLISH LANGUAGE TEACHER

Currently, the worldview trend of Ukraine is the active integration of scientists into the educational community, in the context of which there is a need to provide qualified specialists with a high level of English-speaking professional competence.It is about raising the level and quality of training specialists in higher educational institutions of Ukraine, capable of professionally solving the problems facing the state, and capable of protecting its interests.Analysis of recent research.The purpose of the article is to substantiate the peculiarities of the professional pedagogical competence of the English language teacher.It was found that the development of English language competence is a key condition in training a competitive specialist.In modern society, specialists who have English-speaking skills and abilities are more agile and successful in modern conditions of legal relations.Such teachers effectively carry out a great deal of work, while being at the same time sufficiently socially adapted, and are in great demand among specialists of the global community.However, the issue of English language competence during the professional training of English language teachers is still not studied at a sufficient level.The model of the key components of the pedagogical competence of the English language teacher is presented, which is determined by the composition of such components as informational, communicative, productive, autonomous, moral, psychological, subject, social, mathematical competence and personal qualities of the teacher.The qualitative language training of education seekers regarding the use of modern educational technologies (multimedia technologies, information and communication, Internet resources in the context of the formation of auditory competence in students) that involve the use of
Lecturers’ Challenges and Strategies in Teaching English Writing Skills in Large Classes

Teaching in a class with a large number of students is a phenomenon experienced by the majority of lecturers in Indonesia. This condition obviously generates disruptions during instruction, so action is required to eliminate them.The purpose of this research is to look at the problems that arise when teaching writing skills in large classes and how to solve them from the perspective of English lecturers in Indonesia. This research is a case study using a qualitative research approach. Data collection was carried out through semi-structured interviews involving four English lecturers at four universities in North Sumatra. After the interview, the data was first transcribed, followed by thematic analysis to identify themes and answer research questions. The results of the analysis show four challenges faced by the participants in their EFL classes. All of these are related to the difficulties of: 1) providing individual assessment and feedback; 2) class and time management; 3) lack of experience and practice; and 4) lack of space, facilities, and resources. To overcome these challenges, the lecturers utilize several approaches, such as 1) using group and peer assessments, 2) using multiple approaches and analyzing student needs, 3) learning outdoors, and 4) using technology-based tools. To address these issues and make teaching large writing classes a promising endeavor, comprehensive planning and strategies must be ensured in advance according to the context and needs of students.
INTEGRASI PEMBELAJARAN BAHASA INGGRIS GUNA MENINGKATKAN KUALITAS PELAYANAN DALAM SEKTOR INDUSTRI PERHOTELAN

&lt;p&gt;&lt;em&gt;English for Specific Purposes (ESP) in the hospitality industry context answers problems related to service quality in the hospitality industry. It is experienced by IBIS Style Hotel – Gajah Mada as part (branch) of the largest hotel franchise chain in Indonesia. IBIS Style Hotel – Gajah Mada feels that the work team must improve their English skills, especially when carrying out daily tasks and routines. It underlies the implementation of &lt;/em&gt;&lt;em&gt;Community Services (&lt;/em&gt;&lt;em&gt;ABDIMAS&lt;/em&gt;&lt;em&gt;)&lt;/em&gt;&lt;em&gt;, which involves Bunda Mulia University as the executor and IBIS Style as a partner. Realizing these problems, programmed (incidental) ABDIMAS activities were carried out, which were described in three stages&lt;/em&gt;&lt;em&gt;. First, the &lt;/em&gt;&lt;em&gt;initiation or understanding of problems and constraints faced by partners&lt;/em&gt;&lt;em&gt;. Second, the e&lt;/em&gt;&lt;em&gt;xecution or implementation of activities carried out to answer Partner problems which in this case is carried out through enrichment programs in 4 major themes developed in 12 meetings&lt;/em&gt;&lt;em&gt;. Third, the i&lt;/em&gt;&lt;em&gt;mplementation that focuses on the dissemination of academic work produced as a manifestation of the principle of transparency.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;Activities are measured quantitatively with four measurement components (educational, objective, accountable, and transparent). Analysis of the four measuring components shows that implementing programmed (incidental) activities is carried out well regarding impact, form, and benefits for all participants.&lt;/em&gt;&lt;/p&gt;
Flipped classroom in the application of didactic sequence for the improvement of mathematical competences referred to modeling and representation of mathematical objects

Forming competent human beings, mathematically speaking, requires experience in the application of knowledge and skills when facing real situations, a task that is evaluated every year in schools.The results obtained in Colombia in the internal and external tests show shortcomings when giving meaning to school knowledge -daily environment.Showing the effectiveness of didactic sequences mediated by the inverted classroom model, through situations close to the quadratic function that would improve the level of competence referred to the modeling and representation of mathematical objects of high school students, was the objective.Qualitative research, case study method.Ten Activities were designed, mediated by WhatsApp and Geogebra through the flipped classroom model.Data were analyzed under the study a priori -a posteriori, revealing that the students do not know the meaning of function, classes and characteristics.Omission of the quadratic model in the representation of real phenomena.Mathematical skills in modeling and representing objects show low performance.It is concluded that the design of didactic sequences allows the student to see linearity between Activities, giving meaning to school knowledge in their environment.Student awareness is required when participating in the flipped classroom.
Scene Text Recognition for Text-Based Traffic Signs

Scene Text Recognition (STR) enables the Advanced Driver Assistance System (ADAS) to recognize text in natural context, such as object labels, instructions, and text-based traffic signs. STR helps self-driving cars make informed decisions such as which direction to take, how fast to go, and what to do next. Traffic signs are categorized into three categories: traffic lights based on symbols and texts, and additional traffic. Traffic signs recognition is a very important task in ADAS, although many researchers have had impressive success with symbol-based traffic signs, there are very few researchers working on the other types of signs due to the difficulties they encounter, chief among which is the lack of publicly available datasets. In addition to the many factors that make text-traffic signs difficult to recognize, including complex backgrounds, noise, lightning conditions, different fonts, and geometric distortions in the signs. In this paper, we will survey some modern and effective methods of scene text recognition and discuss some of the problems they face, taking a closer look at the problem of text recognition of traffic signs in the first place.
The effect of sodium borate addition to dimentional stability in type 3 of gypsum

Background: The removable dentures or fixed dentures can be used as a replacement for missing teeth and restore the aesthetics and functional condition of the patien. Dentures with good adaptation can be obtained from accurate impressions. Dimensional accuracy and adequate mechanical properties are one of the main requirements of working model making materials. The addition of sodium borate can help gypsum type III achieve balance dimentional stability. The purpose of this study was to determine the difference in dimensional stability of gypsum type III with aquades with the addition of sodium borate and aquades without the addition of sodium borate.Method: Post test only control group design was used as the research design method. This study consisted of 2 groups with a total sample of 32 samples, experimental group with gypsum type III given distilled water with added sodium borate 0.4% and control group with gypsum type III given distilled water without added sodium borate 0.4%. The change of gypsum dimentional stability is measured using digital sliding caliper. Statistical tests were carried out using the Mann Whitney test and the results of the Mann Whitney test were P &lt; 0.05 which means a significant difference between the two groups. Result: The lowest average dimensional change was found in gypsum type III mixed with 0.4% sodium borate.Conclusion: The conclusion of the research is the addition of 0,4% sodium borate solution can help gypsum type III achieve balance dimentional stability.
Tax Policy - Integrating Investment Tax Allowance and Corporate Governance by Institutionalisation Process: A Conceptual Paper

This paper presents the conceptual perspective on integration of investment tax incentives program and corporate governance through institutional process in the government inspiration of building sustainable economic environment. The concept is to enhance the tax policy by shifting the conventional view of investment tax incentives program and corporate governance to shared tax policy between government and government towards the inspiration. The shift is to support government tax revenue system capability generate sufficient revenue to finance socio-economic development activities.
DESIGN AUGMENTED REALITY FOR PROPERTY IN JIARMAH GROUP

Abstract: Augmented reality is a technology that combines the virtual world and the real world in the form of two-dimensional or 3D objects in real time. This study uses the markerless augmented reality method to display the object. This study uses the prototype method where researchers listen to customers, build or revise mockups and customer test drive mockups. This augmented reality application was created using the Blender, Unity, Sketchup Pro and Vuforia SDK applications. Making three-dimensional objects is made using Blender and Sketchup Pro while making applications using Unity and Vuforia SDK. The results of the research on the application that was made were tested using blackbox testing where the test results obtained "as expected" which means the application is functioning and working properly. Keywords: augmented reality; markerless augmented reality; 3D Abstrak: Augmented reality adalah teknologi yang mengubah realitas menjadi objek dua dimensi atau tiga dimensi secara real time. Studi ini menggunakan metode augmented reality tanpa penanda untuk mengungkap objek. Penelitian ini menggunakan metode prototipe, di mana peneliti mendengarkan pelanggan, mengembangkan atau mengubah maket, kemudian meminta pelanggan untuk menguji coba maket tersebut. Aplikasi augmented reality ini dibuat menggunakan Blender, Unity, Sketchup Pro, dan Vuforia SDK. Objek tiga dimensi dibuat menggunakan Blender dan Sketchup Pro, sedangkan aplikasinya dibuat menggunakan Unity dan Vuforia SDK. Hasil penelitian pada aplikasi yang diuji menggunakan pengujian blackbox yang mendapatkan hasil "sesuai harapan" yang memiliki arti aplikasi sudah berfungsi dan bekerja dengan baik. Kata kunci: augmented reality; markerless augmented reality; 3D