Reviewerly/exHarmony huggingface dataset:
Stochastic local search: a state-of-the-art review

The main objective of this paper is to provide a state-of-the-art review, analyze and discuss stochastic local search techniques used for solving hard combinatorial problems. It begins with a short introduction, motivation and some basic notation on combinatorial problems, search paradigms and other relevant features of searching techniques as needed for background. In the following a brief overview of the stochastic local search methods along with an analysis of the state-of-the-art stochastic local search algorithms is given. Finally, the last part of the paper present and discuss some of the most latest trends in application of stochastic local search algorithms in machine learning, data mining and some other areas of science and engineering. We conclude with a discussion on capabilities and limitations of stochastic local search algorithms.
INTEGRATION OF IOT SENSORS TO 3D INDOOR MODELS WITH INDOORGML

Abstract. Sensors are the vehicle through which Internet of Things (IoT) applications collect timely data of which are communicated to objects, or “Things”, to make them aware of their environment. With multiple sensors within an IoT system sending continuous streams of data, the potential scale of data is large, so efficient data management and useful representation is a key concern. As the information required from sensors benefit from a spatial context, 3D indoor models, such as IndoorGML, have been identified to support this condition. As it stands, a standardised structure to the amalgamation of sensors with IndoorGML has not been defined. The goal of this paper is to explore this opportunity by firstly, reviewing previous approaches to the integration of the two systems. Research into the interpretations of sensor information through existing standards is conducted before narrowing these attributes down into a minimal profile according to identified functional requirements of sensor applications. Finally, this knowledge is organised into a conceptual data model and presented as a thematic module in IndoorGML.
INFORMATION AND RECOMMENDATION SYSTEM IN RESTORATION

An information and recommendation system built for the object restoration center. The system consists of modules card index, recommendations, image editing.In all modules, information presented in the respective databases. The advisory part of the system offers examples of restoration processes for typical cases for the current subject.
A Morphological Study in Group Online Communication: Word - Formation Processes among College Students in a WhatsApp Group

The emergence of group online communication provides various patterns in using language, especially in written text. In the process, teenagers and adult learners who frequently use online communication produce new vocabularies, spelling modifications, symbols, and emoticons in their online written communication. This study focusses on the word-formation processes used in written online communication especially during usage of a WhatsApp Group (WAG). The study aims at finding types of word-formation processes that emerged in WAG. Collected data was examined empirically to understand the characteristics of WAG users and their patterns in forming words. A descriptive method and data collected from 30 chats were gathered from WAG consisting of students attending Mahasaraswati University in Bali. The study analyzed 336 words and classified them into the appropriate word-formation processes (Yule, 2010). The study found three predominant types of processes used by WAG users: borrowing, multiple processes, clipping, and three other processes included acronym, blending, and miscellaneous (not stipulated in his theoretical backing (see table 6)), which were used less by WAG users. Changing words into shorter or simpler forms and borrowing words from other languages were some strategies used by the users of WAG to accelerate the production of text or chat. These appear to be the reasons why users mainly generated these three most types of word-formation processes in WAG.&nbsp; The investigation has presented a diversity of word-formation processes used in WAG. In turn, this diversity may cast light on the creativity of online group communication language usage.
Research on the relations among Achievement Goal Setting, Self-efficacy and English Learning Achievement of Engineering Graduate Students: A Structural Equation Modeling Approach

Achievement goal setting and self-efficacy are two critical variables influencing learning achievements.Many scholars have studied the relationship between two variables by correlation analysis, regression analysis or path analysis.These methods, however, neglect the measurement error at all, which are inconsistent with the reality.Through a questionnaire survey among 266 first-year academic engineering graduate students, this study aims to clarify the relations among achievement goal setting, self-efficacy (SE) and English learning achievement (ELA) of engineering graduate students.Integrating the advantages of conventional statistical methods, Structural Equation Model (SEM) not only takes the measurement error into consideration, but also could study the structures of constructs and the relations among them at same time.The result shows that: 1)Achievement approach goal has a direct positive influence on English learning achievement, mastery approach goal and performance avoidance goal having direct negative influence, and mastery avoidance goal hasn't obvious influence on English learning achievement; 2) Mastery approach goal has the best impact on self-efficacy, while performance avoidance goal has the worst impact on self-efficacy; 3) Self-efficacy, a mediating variable between achievement goal setting and English learning achievement, could improve English learning achievement efficiently.
Information Literacy Level of Students of Universitas Negeri Padang Using the Big 6 Model

This research discusses the level of information literacy of student of Universitas Negeri Padang using The Big 6 Model.This research uses explanative method which aimed to explain why events occur, and to build and develop theories or concepts.The data obtained by directly distributing questionnaires.Data analysis is conducted to answer the research problem.The data collected was simplified, processed then presented by calculating the student information literacy level score.The data was processed in tabular form so it's easy to read and present.The interpretation done to look for broader meanings and implications of the data displayed.The data that has been calculated and grouped in a table was presented descriptively into statement sentences that describe the data clearly.The Researchers found that the level of student information literacy is in low level, the student's knowledge about information literacy activities is still not good.Many students still do not understand the ethics and stages to find information.These problems cause the students of being wrong in obtaining and using information.In addition, in the evaluation activities there are not many students sort the level of usefulness of information needed, students only search for information and take the information without reading and understanding it in advance before using it.So, the results obtained can be concluded that students still do not understand the actual information literacy ability and students are still classified as students with low information literacy skills.
Pengaruh Media Visual (Gambar) Terhadap Kemampuan Kosakata Anak Autis

The barriers possessed by autistic children are communication and language, so that they have lack vocabulary. The purpose of this study is to describe the vocabulary skills of autistic children both before and after the intervention state and analyze the visual media (pictures) on the vocabulary of autistic children. This research method is quantitative using Single Subject Research (SSR) A-B-A design with A is the baseline and B is an intervention. The results showed there was an influence of the use of visual media (pictures) on the vocabulary ability of autistic children
Thoughts on the Future of Data Analytics Education in College Fashion Curricula

The fashion industry is being transformed, as once valuable brands find themselves being increasingly commoditized. As the middle price point brands change their differentiating strategies, the effect percolates to the top designers as well, forcing everyone in the industry to carefully examine the evolving nature of advantage in the market. This response is certainly going to be influenced by college graduates entering the industry. Thus, education for students preparing to enter fashion industry will need to entertain a vast array of data analytics technologies.
SOLVING THE STUDENTS’ PROBLEM IN WRITING DESCRIPTIVE TEXT THROUGH ATTRIBUTE CHARTS STRATEGY

This research was based on the students’ problems in writing descriptive text, especially in terms of organizing the generic structure, determining adjective to describe people or things, and mastering vocabulary. The purposes of this research were to improve the students’ writing skill in descriptive text and to find out the factors influencing the students’ improvement through Attribute Chart strategy at grade 7.2 of SMPIT Al Birru Pekanbaru. The design of this research was Classroom Action Research. The instruments used were the writing test, observation checklist, field note, and interview. The participants involved in this research were the students at grade 7.2 which was consisted of 16 students. The result showed that the students base score was 51.8, and the score in cycle 1 was 70.4. It means the students’ score was improved in cycle 1. Furthermore this improvement was influenced by 4 factors. These factors were obtained based on the result of field note. Moreover, the results of field note were: students’ motivation, students’ interest, students’ exciting with the new topic, and the students’ activeness in the learning process. In conclusion, the use of Attribute Chart strategy in writing descriptive text can improve students’ writing skill at 7.2 grade of SMPIT Al Birru Pekanbaru.
Sistem Informasi Distribusian Dana Zakat Nasional pada Baznas Mukomuko Bengkulu Berbasis Web

National Amil Zakat Agency (BAZNAS) is an institution that processes the recipient and distribution of funds. Funds that are managed are sourced from individual zakat or an organization, so that at any time have data that requires speed in its processing. So this research was conducted to improve efficiency and effectiveness in the management and distribution of zakat funds in an information system. Data management uses Hypertext Preprocessor (PHP) programming software and its storage uses Structured Query Language (MySQL). The processed data are the recipient data and distribution of zakat in Bengkulu Mukomuko BAZNAS. The results of this study can manage data reception and distribution quickly and accurately as well as storing archived data safely. So that the use of information technology in processing zakat data can be managed better.
Bi-branch network for dynamic scene deblurring

We present a bi-branch network for efficient dynamic scene deblurring. The challenge is to simultaneously reduce the computational cost and enhance the restoration accuracy. The proposed network conduct heterogeneous transformations on motion and RGB content in an encoder–decoder structure with skip connections. The computational efficiency is achieved by explicitly decomposing the intertwined mapping of spatiotemporal and cross-channel correlations into the motion branch that processes grayscale frames with our proposed pseudo depth-wise separable 3D convolution and the color branch that conducts depth-wise separable 2D convolution on RGB content. We refine features captured by the motion branch and the color branch by incorporating a lightweight nonlocal fusion layer that adapts the double attention operation to aggregate heterogeneous transformations and generate for each location in the feature space an output based on its correlation with the entire video clip. Our nonlocal fusion maintains low computational cost in processing high-resolution frames and operates in a patch-based manner during inference. The proposed architecture strikes the right balance between complexity and accuracy for dynamic scene deblurring. In comparison with state-of-the-art methods, the proposed network is compact and shows competitive restoration accuracy with a significant reduction in computational cost. • Two branches with heterogeneous transformations optimizes video deblurring network. • A compact extension enables depth-wise separable spatiotemporal convolution. • Capturing global information in dynamic scenes with nonlocal fusion refines features. • Adapting the double attention operation optimizes nonlocal fusion. • Network and layer decomposition combined enhances restoration with low computation.
Implementation of LCM (Linear Congruent Method) Method in Region Song Game

The Regional Song Game is a game that educates players to hone the ability of knowledge about folk songs in the form of questions given the Regional Song game. With the game Regional Songs, players can expand the ability of players about the knowledge of regional songs. Aside from being a means of entertainment, games can also be an exciting learning medium and do not make players bored, so it becomes a pleasant learning atmosphere. The linear congruent method (LCM) is a random number generator method that is widely used by computer programs. The application of the Linear Congruent Method (LCM) in the Regional Song game is intended to randomize the questions that will be displayed by the Regional Song game. Regional Songs Game is an application designed to provide insights about folk songs for the players. This game aims to reintroduce folk songs to the people lost by the ages.
Towards more efficient multiclass AUC computations

The area under the receiver operating characteristics curve (AUC) can be used to assess the discriminatory power of a dichotomous classifier model.Extending this measure to more than two classes is not obvious, and a number of variants have been proposed in the literature.We investigate a heuristic approximation to a method that generalizes the notion of probabilities being correctly ordered, which is equivalent to AUC, to an arbitrary number of classes.While the exact method is computationally complex, we propose a much simpler heuristic that is linear in the number of classes for every combination of data points.Using one artificial and one real-world data set, we demonstrate empirically that this simple heuristic can provide good approximations to the exact method, with Pearson correlation coefficients between 0.85 and 0.998 across all data sets.
POLÍTICAS PÚBLICAS EFICIENTES PARA O NOVO CORONAVÍRUS NO MUNDO

New Coronavirus (COVID 19) is a pandemic and, among its characteristics, two stand out: its morbidity above the average of viruses and its media capacity. In Brazil, the word “coronavirus”, between the 15th and 21st of March, reached the index 100 on a scale of0 to 100 on Google trends, in Italy it had an index of 64, in the United Kingdom 61, in the United Arab Emirates 52, in France 50, in the United States 48, in Singapore 31, in Sweden 19, in Japan 12, in South Korea 8 and, there are no data on China. The response to the pandemic was regional, each country or, in some cases, each state, province, and city reacted differently to the same challenge. This study looks at the effect of government actions in each country. In a quantitative analysis, using officialdata, it was verified the number of infected and deaths, the restrictions imposed and, at the same time, the effects of it on the level of economic activity in these countries, such as market values. In addition, it was investigated the correlation between effect and cause, in the first quarter of 2020, in the above countries. It was found a strong relation between quarantine and acute recessions, but not between quarantine and a decreased new Coronavirus progression. We conclude that there is a need for an in-depth debate about health systems, information shared between countries and the way COVID 19 could be seen in economic statistics for decades, as it happened with World War I, the Spanish flu and World War II, however, without the global demographic impact characteristic of these three events.
Impact of Utilization of Information and Communication Technology in Teaching and Learning of animal husbandry in Senior Secondary Schools in Cross River State, Nigeria

The study focuses on impact of utilization of information and communication technology in teaching and learning of animal husbandry in senior secondary schools in Cross River State, Nigeria.The study used descriptive survey research design.Three research questions were raised to guide the study.The population of the study was made up (20) teachers of agricultural education and two hundred students (200) making a total population of two hundred and twenty (220) from ten randomly selected schools with ICT facilities.The reliability of the instrument was through testretest method.The results from the two tests were correlated and coefficient of 0.86 was obtained.The research questions answered was analyzed using mean score and standard deviation.Based on the findings of this study it was revealed that factors that hinders ICT skill acquisition by teachers and students of animal husbandry are lack of internet connectivity, insufficient numbers of computers and inadequate ICT personnel to assist both teachers and students in time of need. .It was therefore recommended that use of ICT should be extended to non-teaching staff and junior secondary schools as the world is moving toward digital.From the findings the researcher concluded that: Information and communication technology in teaching and learning can only be impactful if there is adequate provision of computers, internet connectivity and teacher's students readiness to make used of it at when due.
Blockchain In Depth

&#x0D; &#x0D; &#x0D; Blockchain is defined as a group of unsegregated blocks over a P2P network. It is also considered as a decentralised ledger which holds the records of any online event. It offers a secure platform for knowledge and value transfer even in an untrustworthy network. In digital transactions on blockchain, each transaction is verified by all the nodes within the network using consensus protocol. Through this paper we will give a comprehensive overview of how Blockchain technology works, its current and future applications and how it can change the digital events in future.&#x0D; &#x0D; &#x0D;
Median Road Revitalization as an Alternative Way to Overcome Flood on Jalan Asrama, Helvetia, Medan - Indonesia

Jalan Asrama, Helvetia Medan, is one of the areas in Medan that is often flooded. The puddle of water on Jalan Asrama, especially at the intersection of Gaperta Street, is already very alarming because the puddles that occur can reach heights of up to 0.5 meters so that it greatly disrupts traffic activity at that location. The cause is the inadequate condition of infrastructure facilities; one of the infrastructures referred to is the drainage and utilization of the Median Road that is not optimal. The purpose of this research is to find out the factors that cause flood inundation on the road bodies around Jalan Asrama-Medan following offer a solution by revitalizing the median Road as one way to overcome the flood. The research method used descriptive qualitative research methods. Namely by conducting research directly into the field and conducting library studies on various types of reading material related to the object of study in this study, among others in the form of books, journals, articles, and written works in the form of print media and internet media. This study concludes that the occurrence of inundation in the bodies of roads around Jalan Asrama, Helvetia, is caused by several factors. First, high rainfall, the two dimensions of drainage channels are not suitable in some parts; third is sedimentation and rubbish, which reduce the dimensions of the channel and inhibit the flow rate of water. Moreover, one solution that can be done is to revitalize the median of the road, which hopes can overcome the flood.
Validity and Reliability of Evaluation Instrument on Islamic Education Teachers’ Training Based on I-Cvi and Efa

This research aims to obtain validity and reliability of several research items in the teachers’ training evaluation intstrument for teachers in Sekolah Rendah Agama (SRA) JAIS, trained under the Intergrated Holistic Education System program (IHES).This instrument had been tested for validity and reliability using the Content Validity Index (I-CVI) and Exploratory Factor Analysis (EFA). A total of 122 JAIS Islamic Education teachers from Hulu Langat and Sepang district were selected as respondents in the pilot study.The face validity and content instrument were evaluated by ten field experts and I-CVI was used to determine the reliability score. The result of the value of item Content Validity Index (S-CVI) showed a high score for both constructs with 0.99 and 0.98 value. Four factors for teachers’attitude construct and three factors for teachers’ performance construct were developed through the use of EFA. Meanwhile an anti image showed the value of coefficient correlation exceeded 0.5 value ,which was between 0.77 to 0.92. Furthermore, the Eigen value was bigger than 1. While the item correlation value of the overall score (item-to-total correlation) exceeded 0.30 in between 0.38 to 0.77. Both constructs showed internal consistency values (Cronbach’s Alpha) of 0.90 and 0.94 , which values fell under acceptable range. All items showed load factor values exceeding 0.5.The overall items for this research consisted of 38 items for two research constructs. The conclusion from the EFA result showed that the teachers’ training evaluation instrument for JAIS Islamic Education teachers on the aspects of attitude and teachers’ performance has fulfilled the validity and reliability criteria.
A Digital Media Similarity Measure for Triage of Digital Forensic Evidence

As the volume of potential digital evidence increases, digital forensic practitioners are challenged to determine the best allocation of their limited resources. While automation will continue to partially mitigate this problem, the preliminary question about which media should be examined by human or machine remains largely unsolved. This chapter describes and validates a methodology for assessing digital media similarity to assist with digital media triage decisions. The application of the methodology is predicated on the idea that unexamined media is likely to be relevant or interesting to a practitioner if the media is similar to other media that were previously determined to be relevant or interesting. The methodology builds on prior work using sector hashing and the Jaccard index of similarity. These two methods are combined in a novel manner and the accuracy of the resulting methodology is demonstrated using a collection of hard drive images with known ground truth. The work goes beyond interesting file and file fragment matching. Specifically, it assesses the overall similarity of digital media to identify systems that might share applications and thus be related, even if common files of interest are encrypted, deleted or otherwise unavailable. In addition to triage decisions, digital media similarity may be used to infer links and associations between disparate entities.