Reviewerly/exHarmony huggingface dataset:
IDOL: Retrofit-Kotlin Service-Based Online Digital Library Application and College Open Data Repository

Digital libraries promise new social benefits, especially for e-learning in the age of digital technology. Integrated Online Digital Libraries are required to have professional knowledge and information on one service. Digital library innovation still needs to be researched regarding initiation; development; application; exploitation; the role of the external competitive environment; the role of the organization's internal environment; and products, services, and process outcomes. In the research, the Integrated Digital Online Library – IDOL application developed will fulfill every feature of the digital library system where four core concepts (Content, User, Functionality, Quality, Policy, and Architecture) as the core model of IDOL need to be considered in relation to four main and interrelated factors. interact with the developed digital library system, and special studies are still needed on this development research. This research focuses on the development of the Integrated Digital Online Library – IDOL by implementing Retrofit-Kotlin as a highly secure REST-client library for Java and Android. The RAD (Rapid Application Development) method is used in the development process of this platform. The results of this study still need further development, both regarding functionality, interactive and collaborative web various functions are still needed. Regarding user feedback, both the interface is a factor that must be considered in future development. Regarding data speed, we adopted the HTTP/2 protocol as a data loading strategy and the IDOL platform has successfully implemented the use of Retrofit-Kotlin. Based on the test results, the level of failure in the UT-7, UT-8, and UT-10 tests with achievements of less than 80% of respondents failed to answer. For a success rate above 80% on UT-1, UT-2, UT-3, UT-4, UT-5, UT-6, and UT-9 tests
Mathematical Model for Adaptive Technology in E-learning Systems

The emergence of a large number of e-learning platforms and courses does not solve the problem of improving the quality of education.This is primarily due to insufficient implementation or lack of mechanisms for adaptation to the individual parameters of the student.The level of adaptation in modern e-learning systems to the individual characteristics of the student makes the organization of human-computer interaction relevant.As the solution of the problem, a mathematical model of the organization of human-computer interaction was proposed in this work.It is based on the principle of two-level adaptation that determines the choice of the most comfortable module for studying at the first level.The formation of an individual learning path is performed at the second level.The problem of choosing an e-module is solved using a fuzzy logic.The problem of forming a learning path is reduced to the problem of linear programming.The input data are the characteristics of the quality of student activity in the education system.Based on the proposed model the computer technology to support student activities in modular e-learning systems is developed.This technology allows increasing the level of student's cognitive comfort and optimizing the learning time.The most important benefit of the proposed approach is to increase the average score and increase student satisfaction with learning.
The Effect Of Product Quality And Packaging On Brand Image (Survey On Consumers Crispy Baby Fish Mr. O Tasikmalaya)

This study aims to determine the effect of product quality and packaging on brand image on crispy baby fish Mr.O Tasikmalaya'sThe method used in this research is a quantitative approach with a survey method. The population in this study is unknown and the sample is taken using Nonprobability Sampling. While determining the number of respondents (samples) using the Incidental Sampling method as many as 100 respondents. The analytical tool used is multiple regression analysis. SPSS version 25 is used. The results showed that product quality and packaging simultaneously had a significant effect on brand image. Partially product quality has a significant influence on brand image. Partially, packaging has a significant effect on brand image.
A Multi-Strategy Approach to Crossword Clue Answer Retrieval and Ranking

Crossword clues represent an extremely challenging form of Question Answering, due to their intentional ambiguity. Databases of previously answered clues are a vital source for the retrieval of candidate answers lists in Automatic Crossword Puzzles (CPs) resolution systems. In this paper, we exploit language neural representations for the retrieval and ranking of crossword clues and answers. We assess the performances of several embedding models, both static and contextual, on Italian and English CPs. Results indicate that embeddings usually outperform the baseline. Moreover, the use of embeddings for retrieval allows different ranking strategies, which turned out to be complementary, and lead to better results when used in combination.
Students' Perceptions of Zoom Video Conferencing Platform During the Covid-19 Pandemic: A Case of Malaysian University

Since the covid-19 pandemic has been a hazardous situation in the world, the physical class has been forced to shift towards online teaching and learning in universities worldwide. Zoom has been used extensively during the pandemic to facilitate students' learning process. This paper studied students' perceptions of Zoom during the pandemic as a platform for the learning process. A total of 100 local students from Malaysian universities participated in the study. From this analysis, students perceived Zoom as an Open and Distance Learning (ODL) platform during Covid-19. The finding shows that Zoom has its own weakness, such as limited participants and features for the users. Therefore, the method of online learning needs to be improved too. Both the study management and Zoom company could be improved in which the universities could manage limited face-to-face classes while the Zoom company could make more participants and longer the discussing time.
Open Research in the Making – Or a Call for Co-creators

The assumption that research and science can be made open and accessible just by taking action from the inside has been shown to be erroneous for some time now. Regulatory and policy instruments to promote openness, or increased awareness on the side of those traditionally associated with producing research and knowledge, are part of the equation only. To a significant extent, the meaning and value of scientific research arises from those who use it, for what purposes and for whose benefit. It has also become clear in recent years that the untapped contributory potential of the citizen can usefully be harnessed in creative ways for the benefit of scientific research. Citizen science is (or has been), mostly, about this: harnessing the skills of those usually labelled the lay people into systems of data gathering, processing or analysis. But using citizens in this way is not enough. Open research can constitute an opportunity for citizen expertise and citizen participation to be conceived of in more meaningful ways. Basically, the question we, as researchers, will have to address is: to whom do we want science and research to be open? Perhaps, as the ultimate users, citizens will have an active role in the process, one that promotes and sees them as co-creators in defining aims, scope, outcomes of research initiatives. One that values the multiplicity of ways of knowing available. There are quite a few initiatives wanting to ‘open-up’ scientific processes to citizens in a co-learning spirit – a democratic spirit. Some of them are taking shape at this University. What I want to propose at this conference and to all the researchers and others taking part is that all of those come together, that experiences are shared and learning carries on. We all know that citizens can have an active role in scientific research and knowledge production. Let’s connect the dots to link the agendas of citizen engagement/citizen (social) science with the call for open and accessible research.
Instrumentality after Radical Lack, Education, and Populism as Co-Prosthetic

This contribution refuses two positions: one defends education against instrumentality, and the other reduces education to a political instrument. Alternatively, it recognizes instrumentality as precarious but necessary. Thus, with focus on populist articulations, education is instrumentalized as a demand to fix the people's incompleteness. However, both education and the people are lacking totalities, and it is through their articulation as prosthetic bodies one to the other that they help each other to be, however without fully being
NewsStories: Illustrating Articles with Visual Summaries

Recent self-supervised approaches have used large-scale image-text datasets to learn powerful representations that transfer to many tasks without finetuning. These methods often assume that there is a one-to-one correspondence between images and their (short) captions. However, many tasks require reasoning about multiple images paired with a long text narrative, such as photos in a news article. In this work, we explore a novel setting where the goal is to learn a self-supervised visual-language representation from longer text paired with a set of photos, which we call visual summaries. In addition, unlike prior work which assumed captions have a literal relation to the image, we assume images only contain loose illustrative correspondence with the text. To explore this problem, we introduce a large-scale multimodal dataset called NewsStories containing over 31 M articles, 22 M images and 1 M videos. We show that state-of-the-art image-text alignment methods are not robust to longer narratives paired with multiple images, and introduce an intuitive baseline that outperforms these methods, e.g., by 10% on on zero-shot image-set retrieval in the GoodNews dataset. ( https://github.com/NewsStoriesData/newsstories.github.io ).
SOFT COMPETENCIES OF A WORKER: A MENTOR'S VIEW

The article reveals the need to define soft competencies of workers in modern production. The article presents a list of necessary soft-competencies and analyzes their key importance in the processes of modernization and introduction of innovations in the enterprise on the basis of mentor’s experience
Mini Factory Laboratory From Technology Reverse Engineering Ballet Reactors in Struvite Formation

Reverse Engineering (RE) can be interpreted as procedures and processes in dismantling an object to find out the materials, working methods, or technology used so that the object can function properly. Design activities using the reverse engineering concept make it easier for students to understand product specifications, product advantages and disadvantages, product production processes and production cost estimates before designing new products. The laboratory is one place that can be used to carry out the reverse engineering process. The bulkhead reactor is an alternative to the stirred tank reactor with the aim that the resulting product is maximized both in terms of quantity and morphology or shape of the material. The benefit of disassembling this product is as a first step in understanding the concept of reverse engineering in the task of designing machines or tools. From the results of the study, it was found that the formation of struvite occurred at pH 9 using an air flow rate of 1 l/minute.
Using Eye Tracking to Understand the Fidelity Effect when Evaluating Low-Fidelity Prototypes with Children

This study used eye tracking glasses to understand how children explore low-fidelity paper prototypes in the context of user experience studies.Twenty seven children aged between 9 and 11 participated in the study examining either a colour or black and white prototype of a mobile game.The research question being explored was whether the aesthetic refinement, either wireframe or high-resolution colour images, would affect children's selfreport and if so what could be learned from knowing where children looked when exploring the prototypes.The results showed that the aesthetic refinement had little influence over the children's overall ratings of the game.The eye tracking data demonstrated that most of the children focused on both the visuals and text on the pages of the prototype.However, there were a higher number of fixations recorded in the wireframe prototype suggesting this may have been more cognitively demanding.This paper contributes to understanding of fidelity effects when evaluating low-fidelity prototypes and shows how eye tracking technology can help inform HCI methodologies.Children.
Strategi Implementasi Sistem Ticketing Menggunakan DewaCloud

Flexible server infrastructure training at a competitive cost was introduced through a webinar at DewaTalks. This training explains how to implement a ticketing system using DewaCloud which has a cloud architecture through the Platform-as-a-Service (PaaS) business model and is compared to building a ticketing system from scratch. Participants who take part in the training are developers who do not or do not have knowledge of server infrastructure. The ticketing system that has been implemented can be agilely adjusted or changed without any doubt because of the time spent on implementation. The result of this training is that 10% of the participants started using DewaCloud as a PaaS solution for their ticketing system needs.
Bat algorithm optimisation technique for feature selection on different dimension of datasets

&#x0D; The advanced of Information Technology has resulting in the generation of numerous datasets with different dimensions. However, dealing with multi-dimensional datasets which typically contain large number of attributes, p has cause problems to classification process. Classifying different dimensional numerical data is a difficult problem as dealing with various feature spaces, could cause the performance of supervised learning method to suffer from the curse of dimensionality. This condition eventually degrades both classification accuracy and efficiency. In a nutshell, not all attributes in the dataset can be used in the classification process since some features may lead to low performance of classifier. Feature selection (FS) is a good mechanism that minimises the dimensions of high-dimensional datasets and solve classification problems. This paper proposed Bat Algorithm (BA) for FS that were trained using a Support Vector Machine (SVM) classifier. The proposed algorithm was tested on six public datasets with different sizes and compared with other benchmark algorithms, such as Particle Swarm Optimisation (PSO) and Genetic Algorithm (GA). The experimental results indicated that the BA has outperformed the other two algorithms. In addition, the comparison details showed that binary BA is more competitive in terms of accuracy and the number of features when assessed on datasets with different sizes. &#x0D;
Correction to: Learning with Augmented Reality Headsets? Experiences of a Use Case in Vocational Education

In an older version of this paper, there were orthographical errors in the text. The word “threat” was misspelled as “thread” on pages 254 and 255, which affected the meaning of the text. This has been corrected.
Hubungan antara Perhatian Orang Tua terhadap Hasil Belajar Matematika Siswa Kelas IV SDN Tangerang 15

This study aims to determine whether there is a significant relationship between the relationship of parental attention to student learning outcomes in fourth grade mathematics at SDN Tangerang 15 Tangerang City. This study uses a quantitative method of correlation using a survey which was analyzed descriptively. The population subjects in this study were all students of class IV B SDN Tangerang 15, totaling 15 students. The technique of collecting data was using a questionnaire statement instrument consisting of 20 statements and a test instrument for students' mathematics learning outcomes to change fractions in the form of PG consisting of 20 valid and reliable questions. To test the significance of the regression in this study, the value of Thitung 8,663 &gt; Ttable 2,160. As for testing the hypothesis from the results of the correlation test, the correlation coefficient value is 0.923 and the coefficient of determination is 0.852 so that parents' attention has a high contribution of 85.2% to student learning outcomes while the remaining 14.8% is influenced by other factors, it is concluded that there is a significant relationship between parental attention to student learning outcomes in mathematics in grade IV SDN Tangerang 15 Tangerang City. This can be interpreted that the contribution of parental attention to student learning outcomes has a high correlation, the higher the attention given by parents, the higher the learning outcomes obtained by a child.
Discover Manaus: The Challenges of Developing a System with Artificial Intelligence Aimed at the End User, a Case Study

Currently, the development of intelligent applications for the most diverse areas is widespread, at the same time causing doubts in users about its use, as it is considered by many to be intelligent “black boxes”. The impact, limitations, and opportunities of these processes are still not much discussed, with product management and the development of user-centered experiences being two fronts with current demands. To address some of the main challenges that can be highlighted, we present the stages of development of the Discover Manaus project and the usefulness of processes such as Design Thinking to better understand the magic offered to users. The article shows the usefulness of Design Thinking as a tool for integrating technologies, stakeholders, and the development team. The Case Study shows an approach where we managed to immerse users in the main features required, improving their experience and acceptance of the application.
RANCANG BANGUN ENERGI TERBARUKAN BAGI INDUSTRI PERTAHANAN GUNA MENDUKUNG PELAKSANAAN PERANG BERLARUT

The defense industry is important in national defense, therefore energy security is needed. The purpose of this study is to analyze the threat of energy security in the event of a protracted war and the potential for solar energy. The method used in this research is to use PSVsyst in the design of PLTS. The results of energy security at PT Pindad only come from PLN 5,540 kVA and 3,465 kVA, Then for emergencies, PT Pindad has 2 Genset Units with a maximum capacity of 1.8 MW. With this situation, there is a threat of energy security in the event of a protracted war, namely the decision to supply electricity from PLN. Therefore, energy security is needed with the construction of PLTS in the PT Pindad area. From the data, PT Pindad's one hour electricity demand is 6,591 kWh/m2 and the building area that can be used for solar cell roof area is 33,775 m2 at PT Pindad.
Event-triggered MPC for Collision Avoidance of Autonomous Vehicles Considering Trajectory Tracking Performance

Collision avoidance strategy is essential for driving safety of autonomous vehicles. Due to the discrepancy between vehicle motion planning and control, it is challenging to plan and track the collision-free trajectories that are adaptive to trajectory tracking errors and feasible to be executed. The paper puts forward a novel collision avoidance method for autonomous vehicles using the event-triggered MPC algorithm. By developing the triggering conditions as the trajectory tracking errors, vehicle motion planning and control are applied at different frequencies, which reduces the computational cost and guarantees the collision avoidance performances. Furthermore, the collision avoidance constraints, together with vehicle kinematic and dynamic models, are included in the proposed method, so that self-driving vehicles can track planned trajectories and the obstacles can be avoided. Simulation results prove the suggested way can generate and track a feasible trajectory to avoid the obstacle and greatly reduce the computational load.
Petrology of the Lower Succession of Injana Formation, Shorr Shareen area, Wasit Governorate, - Eastern Iraq

This study deals with the petrology of the lower succession of the Injana Formation in the Shorr Shareen area, Wasit Governorate, Eastern Iraq. The study revealed that the sandstone is litharenite consists of 45.56% rock fragments, 22.13% quartz and 8.5% feldspars. The matrix is about 8.39%, consisting of silt and clay particles. The cement is variable (carbonates 8.42%, evaporites 1.78% and iron oxides 0.96%). The grain assemblage infers that the source of the rock fragments is nearby. The petrographic analyses indicate that the studied Injana sandstones are immature mineralogically because of their content of unstable constituents, such as lithic fragments and feldspars. In addition, the presence of such fresh feldspars indicates that the climate in the source area and the deposition site were arid to semi-arid.
LOCAL ADAPTIVE PHASE CORRECTION ALGORITHM FOR 3D PROFILOMETRY SYSTEMS BASED ON PHASE SHIFTING METHOD

It is very popular to reflect sinusoidal phase patterns to the surface with technique of demodulation of the phase information in order to get 3D surface depth with 2D images.The phase information that extracted with this method is wrapped; so it must be unwrapped.Even though the phase information is unwrapped; there will be some errors because of possibility of non-sinusoidal characteristics of phase patterns, surface discontinuities, low sample ratesand technical handicaps (poor calibration and hardware malfunctions etc).To deal with those errors resulting from the phase unwrapping process, there are some computationally expensive and complex methods have been presented.In this paper, a fast and low complexlocal adaptive phase correction algorithm forfour-step phase shifting methodis implemented especially for oral applications. The method is firstly validated by using synthetic data. After validation process, an optic test system is realized and a few experiments are performed by using real data. For optic system, a look-up table based calibration techniqueis also implemented for getting accurate surface phase information. Visual and quantitative simulation results are presented to show the performance of the method.
HIERARCHICAL BAYESIAN NETWORK TO ANALYZE EDUCATIONAL DATA

This document presents a proposal to implement a cluster method that best matches the educational data.The use of probabilistic graphic models in the field of education has been considered for this research.But the problem with these general learning procedures comes from the presence of a high number of variables that measure different aspects of the same concept.In this case, we have that all variables have some degree of dependence between them, without a true causal structure.Therefore, a new procedure is presented that makes a hierarchical grouping of the data while learning a joint probability distribution.We try to make a test for each case where the probability is measured in each model using propagation algorithms.Then, the probability logarithm is applied to each case and the results are added in each model to determine the best fit for the proposed one.The method is applied to the analysis of a data set of educational data: evaluation of students of professors of the Gazi University in Ankara (Turkey).