Reviewerly/exHarmony huggingface dataset:
Effect of Search Algorithm Execution Time Analysis Education on Logical Thinking of Elementary School Student

The purpose of this study is to develop a Python search algorithm educational program based on execution time to improve the logical thinking of elementary school students.This educational program was developed based on the process of ADDIE model, utilizing the results of pre-demand analysis conducted for 133 students in elementary school in OO.In order to verify the effectiveness of the developed education program, 25 students who participated in the education donation program at University conducted 42 hours of classes during 6 days.The GALT test was used to analyze the educational effects of the pre-and post-test.The results of the analysis show that the SW education program developed in this study can positively affect the logic of elementary school students.
EVALUASI DATA CLIMATE HAZARDS GROUP INFRARED PRECIPITATION WITH STATION (CHIRPS) DENGAN DATA PEMBANDING AUTOMATIC WEATHER STATIONS (AWS) DALAM MENGESTIMASI CURAH HUJAN HARIAN DI PROVINSI PAPUA BARAT

This research aims to evaluate the CHIRPS data in estimating daily rainfall in West Papua compared with automatic weather stations (AWS) data recording. The data used in this research are daily CHIRPS data and AWS daily data recording 1996 to 2020 from AWS Rendani–Manokwari, AWS Jefman–Raja Ampat, AWS Torea–Fakfak, and AWS Kaimana–Kaimana. CHIRPS data were evaluated using the Point to Pixel method based on numerical and categorical parameters i.e., root mean square error (RMSE), mean error (ME), mean absolute error (MAE), Pearson correlation (r), probability of detection (POD), critical success index (CSI), and T-test. The research showed that CHIRPS had a significant difference to AWS data in estimating daily rainfall in West Papua based on a T-test. However CHIRPS has a moderate accuracy in estimating daily rainfall in West Papua with RMSE = 8.59 mm, ME=2.75 mm, and MAE = 5.15 mm and had a moderate positive correlation with AWS data with r= 0.43. Besides, CHIRPS has good accuracy in detecting rain events in West Papua indicated by a POD = 0.72 and CSI = 0.43. Therefore, CHIRPS data can be used as an alternative solution for providing rainfall data in West Papua. Keywords: satellite observation, rainfall predictor, point to pixel
Forecasting Indonesia's Life Expectancy During The Covid-19 Period 2021-2026

The Life Expectancy Rate (AHH) indicates the degree of public health and reflects the success rate of development in the health sector.The higher the AHH, the better the community's health status, and this are supported bye the success in health development.To see how the AHH level will be in the next 5 years, one way that can be done is to predict the time series.The Autoregressive Integrated Moving Average (ARIMA) method has the ability to capture the necessary information about the AHH level.This is because ARIMA is a time series forecasting method that is suitable for predicting a number of variables quickly, simply, and accurately and only requires variable data to be predicted.Based on the ARIMA results obtained, the Life Expectancy Rate (AHH) for the 2021-2026 period experienced a growth of 0.3%, much lower than in the past 5 years; this is due to Covid-19 in Indonesia.It is hoped that the relevant government can anticipate the decline in AHH from time to time, and related to the Covid-19 case, it is hoped that policies can anticipate the spread so as to reduce the death rate in Indonesia.
Data access rights – A comparative perspective

Data Access, Consumer Interests and Public Welfare , Seite 401 - 438
INFORMATION POTENTIAL OF BONE ARTIFACTS’ ORNAMENTED FRAGMENTS FROM THE CHERNOOZERYE COLLECTION

The research is aimed at updating the attention to the collections from museum storerooms, to the artifacts fragments that make up the bulk of their funds. The late Paleolithic Chernoozerye II site is located in the Sargatsky district of the Omsk region, it was discovered and studied in the late 1960s and early 1970s by the Ural archaeological expedition led by V. F. Gening and V. T. Petrin. Materials of this complex are well published by its discoverers. Bone artifacts decorated with ornaments are represented by a dagger, fragments of diadems, pendants, and a “hatchet”. The study is focused on two fragments of bone artifacts with a disturbed ornamental record, they are stored at the Omsk State Museum of History and Local Lore (OMK 9675/710, OMK 9675/713). The author discusses the technical algorithm of ornamental practice that is typical for this complex. The revealed stylistic features of ornamental plots contribute to the development of certain topics of paleoart studies — morphology of ornamental plots/signs, chronological markers of ornaments, principles of observation and fixation of patterns, cultural and genetic aspects of the development of simple plots. The results are offered as arguments for the development of a discussion about the vectors of cultural development in the south of Western Siberia in the final Paleolithic. For the first time, based on the characteristics of the key parameters of ornamental plots (the form of signs and the syntax of their constituent elements), the paper has indicated to the connection between the Chernoozerye material and the Ural ornamental tradition of the final Paleolithic — early Mesolithic.
Best Practices in the M-Learning Design

E-learning applications or online learning is a very broad topic. This article discusses best practices in designing online learning to provide the best learning experience to students. Recently too many e-learning applications have been produced to help the learning process to be easily accessible anytime and anywhere. Students are so excited because access to learning materials is no longer limited to printed materials. The results of studies on the effectiveness of online learning show inconsistent findings. This is because most of the applications developed do not emphasize effective design. If applications are developed without considering the design principles of an effective e-learning application, it is impossible to provide a meaningful learning experience to students. So, these best practices have been gathered through analytical documents from books, journal articles and successful e-learning developers to help designers and developers of e-learning applications to produce effective applications. There are three main things that need to be emphasized in the design of e-learning applications, namely interface design, content design and interaction design. In interface design, among the things that are evaluated is how to produce an interface that can use the cognitive load effectively. Meanwhile, for content design, what is the appropriate learning and teaching theory to be applied so that the learning experience becomes something meaningful. For interaction design, it is important for the behavior of an application to be predictable and usable. Good interaction design shows features such as easy to use, efficient, safe, easy to learn and easy to remember how to use it. In this article, best practices for designing according to these three aspects will be discussed. Although these best practices are still not comprehensive, they can help learning application developers, teachers, instructors, lecturers, or trainers to be able to provide online learning materials and design e-learning interesting applications effectively.
Small and Medium Enterprises: Importance for the Kosovo Economy

This study aims to broaden the understanding of the importance of SMEs (Small and Medium Enterprises) for the economy of Kosovo, especially in terms of economic development, labor market and innovation. The study was conducted through analysis of documentary sources such as relevant reports of national and international institutions as well as relevant scientific papers. The scientific contribution of this study is theoretical and aims to help researchers of the field for an expanded understanding of SMEs over national economies. This study provides a concise framework of important elements on the economic impact of SMEs on Kosovo's economy. Examination of available data has shown that the SME sector plays a crucial role for the Kosovo economy. The key role of SMEs was emphasized in terms of overall value generated and the labor market while innovation remains a challenge to be addressed by stakeholders
AFI-Net: Attention-Guided Feature Integration Network for RGBD Saliency Detection

This article proposes an innovative RGBD saliency model, that is, attention-guided feature integration network, which can extract and fuse features and perform saliency inference. Specifically, the model first extracts multimodal and level deep features. Then, a series of attention modules are deployed to the multilevel RGB and depth features, yielding enhanced deep features. Next, the enhanced multimodal deep features are hierarchically fused. Lastly, the RGB and depth boundary features, that is, low-level spatial details, are added to the integrated feature to perform saliency inference. The key points of the AFI-Net are the attention-guided feature enhancement and the boundary-aware saliency inference, where the attention module indicates salient objects coarsely, and the boundary information is used to equip the deep feature with more spatial details. Therefore, salient objects are well characterized, that is, well highlighted. The comprehensive experiments on five challenging public RGBD datasets clearly exhibit the superiority and effectiveness of the proposed AFI-Net.
English Language Learning Experience Among Iban Secondary ESL learners in A Rural Area

English language learning has become a rising topic in the Malaysian Education system as it is unable to develop fluent users among Malaysians. This leads to a question on what are the reasons behind the retardation of Ministry of Education Malaysia regarding the learning of English as a Second Language (ESL) in the country. Hence, this study was carried out to explore English language learning experienced by Iban secondary ESL learners in Saratok, Sarawak, as the ethnic is one of the majority population in Malaysia. This is a case study, and the data were gained through semi-structured interview sessions. A set of interview questions comprise of 2 sections were distributed. English language learning and the process involved while acquiring and learning the language at school were explored among three Iban secondary ESL learners. the finidgins revealed that the Iban learners had a positive attitude towards English language learning by applying various strategies while learning the language in supportive and convenience classroom’s environment. The findings of this study benefit the language teachers as their source of reference in planning their lesson by selecting appropriate approaches and strategies that cater to learners’ needs and preferences to facilitate their learning of English language.
Payroll accounting information system at PT. Telekomunikasi Indonesia Tbk

Purpose - the purpose of the payroll accounting information system is to be able to process data quickly and precisely, making it easier for the admin section in the payroll process and can improve employee performance efficiently. Design / Methodology / approach - Payroll information system that the writer built at PT. Mega Pratama Insurance uses a web-based information system. The system development method in the study uses the waterfall model and the data flow model used is, DFD (Data Flow Diagram). The design of this system is assisted by several tools such as XAMPP version 3.2.1, Notepad ++ web editor, Adobe Dreamweaver web and Mozilla Firefox web browser. Findings - The author chose this company because the payroll system in this company is still done manually, using Microsoft Word and Microsoft Excel. The variable used in this study is the payroll information system at PT. Mega Pratama Insurance. Originality/value - Payroll information system at PT. Mega Pratama Insurance uses three user access rights, namely, user as admin, user as employee and user as manager.
How Florist Apprentices Explore Bouquet Designs: Supporting Design Space Exploration for Vocational Students

Context: Exploring the design space is an important process in a design task. In this study, we considered design space exploration for the learners in vocational education and training (VET). The goal of the study was to investigate how they explore the design space while focusing on the effect of a graph-like interface on the learner’s understanding of the design space. With florists as the target profession, we investigated how the apprentices explore design variations, what they would gain from such activity, and how we can support this process. Approach: We developed a web application called BloomGraph that allows learners to explore design variations. It provides a graph-based interface that enables the systematic variation of design. Using the BloomGraph application, we conducted an experimental study with 44 florist apprentices in Switzerland to investigate the effect of the graph-based interface which provides a structured way of exploring the design space. The experimental group was given the graph-based interface to explore design variations while the control group had a linear-based interface. We compared them in terms of the number of bouquets explored, time of exploration, diversity of bouquets explored, and the learning gain in terms of the understanding of the design space measured using pre and post-tests. We also analyzed the strategies adopted by the participants for the graph navigation and the visual exploration behavior using the eye gaze data. Findings: Our analysis shows that the graph-based interface fosters a better understanding of the size of the design space and more efficient navigation towards a goal design in terms of the number of intermediate designs but with longer exploration of each intermediate design compared to the linear-based interface. Regarding the behavioral patterns in graph exploration, the participants who showed more strategic behavior in the design choices acquired a better understanding of the design space. Additionally, we trained a model that predicts the next choice of a learner using eye tracking data. It provides a reasonable accuracy that opens new possibilities for future studies.Conclusion: The findings of this study support the feasibility of design space exploration as a digital activity for VET learners and show how the learners can benefit from it. The contribution of the paper includes the validation of the idea with florist apprentices and the demonstration of how the process can be supported using a structured interface and the learner behavior analysis. This paper shows how a design exploration activity can provide an added value in the learning of an apprentice in a design-related VET system.
SOCIAL PARTNERSHIP AS AN IMPORTANT TOOL FOR IMPROVING STUDENT TRAINING

This article shows the long-term experience of social partnership of Nikopol Vocational College of the National Metallurgical Academy of Ukraine with basic enterprises of Nikopol region as an important tool for improving student training, provides organizational characteristics of social partnership. The purpose of the article is a theoretical analysis of research on the training of university students on the basis of social partnership as a pedagogical problem, an experimental test of the management of the training system of students in accordance with modern requirements of employers. The article presents an analysis of a number of theoretical works of national scientists devoted to the study of the problem of social partnership in universitiesof I-II level of accreditation with basic enterprises.Particular attention is paid to the basic pedagogical conditions, the readiness of students for training, in order to implement their best knowledge successfully and qualities on the basis of social partnership.The analysis of scientific works revealed the following weaknesses: at the level of universities: insufficient material and technical base; insufficient response to changes in demand for graduates; staff low salaries; at the level of the higher education system as a whole: lack of a unified system (school -collegeuniversity); in the system of relations "universities -employers": low level of personnel services of enterprises, unresolved issues of retraining.Areas of adjustment of professional training, based on social partnership, which promote professional self-realization and career growth of university graduates have been identified.
Systematic encoding for Z<sub>2</sub> <sup>s</sup>-linear codes

The ℤ(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sup> )-additive codes are subgroups of ℤ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> (2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sup> ). These codes can be seen as a generalization of linear codes over ℤ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> and ℤ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> . A ℤ(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sup> )-linear code is a binary code, not necessarily linear, which is the Gray map image of a ℤ(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sup> )-additive code. In 2014, a systematic encoding was found for ℤ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> -linear codes. Moreover, an alternative permutation decoding method, which is suitable for any binary code (not necessarily linear) with a systematic encoding, was established. In this paper, we generalise these results by presenting a systematic encoding for ℤ(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sup> )-linear codes with s > 2. This encoding allows us to perform a permutation decoding for this family of codes.
Improved Distributed Particle Filter Architecture with Novel Resampling Algorithm for Signal Tracking

Resampling is a critical step in Particle Filter (PF) because of particle degeneracy and impoverishment problems. Independent Metropolis Hasting (IMH) resampling algorithm is a robust and high-speed method that can be used as the resampling step in PF. In this paper, a new algorithm based on IMH resampling is first proposed. The proposed algorithm classifies the particles before entering to the resampling module. The classification causes those essential particles are only routed to the IMH resampler. Then we propose a distributed architecture to reduce the execution time and high-speed processing for resampling. Simulation results for tracking a signal indicate that the PF with the proposed resampling architecture has acceptable tracking performance in comparison to other resampling methods. The PF architecture with the novel Improved IMH (IIMH) resampling algorithm has 33% more speed than the best-reported method in PF. Also, the proposed distributed PF architecture achieve 79% more speed compared with the best-reported method in PF. FPGA-based implementation results indicate that the utilization of the proposed IIMH resampling algorithm in PF and also distributed architecture lead to hardware resource and area usage reduction.
EARLY STUDY OF TEACHING &amp; LEARNING ADAPTION BY USING MULTIMEDIA IN TEXT LEARNING OF SULALATUS SALATIN

This study aims to examine the use of multimedia in teaching and learning (PdP) Sulalatus Salatin in form six. The objective of this study is to identify the use of multimedia in PdP Sulalatus Salatin in terms of types, tools used, teacher skills, and curriculum needs. The second objective is to study students 'attitudes towards the use of multimedia in Sulalatus Salatin learning and the third to analyze the relationship between multimedia use in PdPc with students' understanding of Sulalatus Salatin text using the Technology Acceptance Model (TAM). The researcher distributed a set of questionnaire questions containing 36 questions that were closed to 30 forms six students at a school in the district of Kuala Kangsar, Perak. The findings show that the main reason for the use of multimedia in PdP Sulalatus Salatin in terms of multimedia type, tools used, teacher skills, and curriculum needs is because the use of LCD screen causes the text to appear larger and clearer with a mean score of 4.433 (sd = 0.8976). For the second objective, the two most dominant student attitudes with a mean score of 4,400 that is with the use of multimedia, writing in the text of Sulalatus Salatin is clearer and easier to read (sd = 0.7701), while students are actively involved during the teaching of Sulalatus Salatin text (sd = 0.8944). Next, for the third objective, the relationship between the use of multimedia with the highest level of students' understanding of Sulalatus Salatin text is that students are easier to read and understand the synopsis on Sulalatus Salatin text with a mean score of 4,600 (sd = 0.6215). In conclusion, this study was implemented to provide exposure to the advantages of multimedia used by teachers while teaching Sulalatus Salatin text in form six.
Less is More: Data-Efficient Complex Question Answering Over Knowledge Bases

Question answering is an effective method for obtaining information from knowledge bases (KB). In this paper, we propose NS-CQA, a data-efficient reinforcement learning framework for complex question answering by using only a modest number of training samples. Our framework consists of a neural generator and a symbolic executor that, respectively, transforms a natural-language question into a sequence of primitive actions, and executes them over the knowledge base to compute the answer. We carefully formulate a set of primitive symbolic actions that allows us to not only simplify our neural network design but also accelerate model convergence. To reduce search space, we employ the copy and masking mechanisms in our encoder-decoder architecture to drastically reduce the decoder output vocabulary and improve model generalizability. We equip our model with a memory buffer that stores high-reward promising programs. Besides, we propose an adaptive reward function. By comparing the generated trial with the trials stored in the memory buffer, we derive the curriculum-guided reward bonus, i.e., the proximity and the novelty. To mitigate the sparse reward problem, we combine the adaptive reward and the reward bonus, reshaping the sparse reward into dense feedback. Also, we encourage the model to generate new trials to avoid imitating the spurious trials while making the model remember the past high-reward trials to improve data efficiency. Our NS-CQA model is evaluated on two datasets: CQA, a recent large-scale complex question answering dataset, and WebQuestionsSP, a multi-hop question answering dataset. On both datasets, our model outperforms the state-of-the-art models. Notably, on CQA, NS-CQA performs well on questions with higher complexity, while only using approximately 1% of the total training samples.