Reviewerly/exHarmony huggingface dataset:
Multi-step Ahead Time Series Forecasting Based on the Improved Process Neural Networks

This paper proposes a multi-step ahead time series forecasting based on the improved process neural network. The intelligent algorithm particle swarm optimization (PSO) is used to overcome the potential disadvantages of the neural network, such as slow convergence speed and derivative local minima. Firstly, the theoretical analysis of the PSO is given to optimize the multilayer perceptron (MLP) neural network architecture. Secondly, the theoretical analysis and processing flow about the MLP architecture optimization is given. Thirdly, the performance criteria are applied to verify the performance of the proposed approach. Finally, the experimental evaluation based on a typically chaotic time series with rich spectrum information is utilized to demonstrate that the proposed approach has comparative results and superior on forecasting accuracy comparing to the traditional methods.
Meningkatkan kemampuan menulis puisi dengan menerapkan Teknik Imagine (khayalan visual) di kelas X IPA SMAN Bernas Pangkalan Kerinci

The purpose of this research is to improve the ability to write poetry by applying the imagine (visual imagination) technique at the Bernas Pangkalan Kerinci High School. Based on the results of data analysis, it can be concluded that the imagine (visual fantasy) technique can improve poetry writing skills at the Bernas Pangkalan Kerinci State High School, Pelelawan Regency. The results showed that there was an increase in the average value of writing poetry of students from the first cycle, 58 with a good category to 85 with a very good category in the second cycle. This is indicated because the teacher has understood how to carry out the learning process using the imagine technique (visual delusion), and students are familiar with the method. Suggestions from researchers that all teachers must use a variety of learning methods so that students get used to and the learning process takes place fun.
Persistent Identifiers for Open Scholarship

This presentation, created for UCT Open Data Day 2019, focuses on the developing field of persistent identifiers (PIDs) in support of Open Science. Alongside the mainstream adoption of identifiers for research objects, in the form of handles and Digital Object Identifiers (DOIs), various other forms of identifiers are also becoming widely used. Examples include identifiers for humans (ORCiD, ResearcherID), for projects (RAiD, OSF), for institutions (GRID, ROR), for Q-items, P-properties and Q-values (linked open data, Wikidata), for instruments, for samples and for Grants, etc.This presentation explores the developing field of persistent, unique identification, and provides further references for those interested in pursuing the topic more deeply.
Self-adaptive Wolf Pack Algorithm based on Dynamic Population Updating for Continuous Optimization Problems

Wolf pack algorithm (WPA) is a relatively new swarm intelligence-based algorithm for solving complex continuous optimisation problems as well as real-world optimisation problems. The basic WPA and its variants are prone to trap into local optima and premature convergence when tackling multi-modal functions due to diversity loss problem and imbalance between exploration and exploitation. Inspired by the idea of integrating the heuristic information and stochastic strategies to balance exploration with exploitation, we propose a self-adaptive WPA based on dynamic population updating (SWPA-DU) strategy. First, the self-adaptive chaotic scouting behaviour is designed to develop the global exploration of scout wolves. Second, a novel Cauchy perturbation operator is proposed to generate a few mutation besieging wolves, which not only enhances the capability of jumping out of local optima but also improves local exploitation. Third, a dynamic population updating strategy is invented to improve diversity. Numerical experiments with a suit of benchmark functions and practical applications are performed to verify the effectiveness and advancement of the proposed algorithm. The experimental results indicate that SWPA-DU obtains superior performance on both multi-modal and high-dimensional problems over the compared algorithms.
User Experience in using VIVE Controller as a Controller in Anatomy Learning System in Virtual Reality Environment

Abstract Anatomy is not only can be learned by reading a text book, but also by using an interactive system, such as virtual reality. In this paper, an anatomy learning system using VIVE Controller has been developed. User agreement survey and user satisfaction surveys are required to determine the interactivity level of VIVE Controller in the system. The result of this research shows that users agree that using VIVE Controller in anatomy learning system in virtual reality environment is very interactive with an average score of 4.33. The result also shows that users are satisfied using VIVE Controller in this system.
Pandemic Preparedness and Response in the Age of Technology

The Fourth Annual White Paper from the Scowcroft Institute of International Affairs at The Bush School of Government & Public Service at Texas A&M University
Tasks for Integration of Technologies and Physical Education: based on TPACK Framework

This study aims to suggest agenda in order to improve the capabilities of PE TPACK by interrogating the current status of technologies in Physical Education class. Based on these academical backgrounds, this study has suggested three significant agenda to promote the capabilities on TPACK in PE practice. The result of this study are as follow: First, pedagogical content knowledge based on utilizing technologies should be developed in the field of physical education, which would help PE build the solid foundation of PE TPACK. The absence of PE TPACK has been regarded as one of the critical issues among PE teachers when they are trying to use technologies in their classes. Second, an evaluation system for the PE TPACK should be established in order to entail sustainability and effectiveness. To build the evaluation system, descriptive researches on utilizing technologies in PE classes should be performed, which help develop educational tool for PE TPACK. Third, sophisticating and diversifying PE TPACK should be required by sharing many cases of PE TPACK among PE teachers. The answers of three agenda suggested in this study would provide PE practices, especially PE teachers, to manage high quality PE class with utilizing technologies. Lastly, this study concluded with feasible suggestions to realize the significant agenda in PE practice.
EXERCÍCIOS FUNCIONAIS NA 'AUTOGESTÃO’ E ‘AUTONOMIA’ DE PESSOAS IDOSAS COM OSTEOARTROSE

This paper reports the project developed by the Interdisciplinary Center of Studies and Extension in Health Care to Families Living with Chronic Diseases – NIEFAM at the State University of Southeastern Bahia. The project aimed to perform and intervention, using physical activity,&nbsp;on the musculoskeletal system of elderly people in Osteoarthrosis treatment, and verify whether post-intervention patients presented improvement in their daily life functional capability, self-management and health autonomy. A mixed and interventionist method was implemented in the Urban Social Center of Jequié, BA, during the period March-June/2019, through a kinesiotherapy protocol, supported by instruments such as the Lawton Scale, Analog Visual Scale; semi-structured interview and clinical record and medical record for the treatment of five elderly women. The results showed positive impacts on the process of healthier longevity in the patients’ daily activities, in prevention/control of non-communicable chronic diseases, pain relief, and the significance of the interventionist method which provided the patients with the first proximal care actions.
The Assessment of Motion Sickness Induced by Sensory Conflict and Posture Instability

The aim of this study is to analyze and evaluate the factors of motion sickness for the HMD virtual reality system with six-axis dynamic platform. The research team would like to explore the effects of duration of simulator use, virtual object acceleration, degree of control, and user training on motion sickness. According to literature review, the research team constructed the hypotheses of this study from the postural instability theory and the sensory conflict theory. In order to efficiently understand the perception of motion sickness, the research team makes use of the Fast Motion Sickness (FMS) scale to assess the level of motion sickness of subjects. Experimental results show that the duration of simulator use, degree of control, and user training have significant impacts on motion sickness. However, virtual object acceleration does not have an impact on motion sickness.
Construction of Management and Control Platform for Bus Parking and Maintenance Field Under Hybrid Cloud Computing Mode

The intelligent management of the bus parking and maintenance field can not only improve the control of the public transport commercial vehicle and eliminate potential safety risks, but also provide travelers with parking services. We illustrate the effort to forward a scheme of integrating hybrid cloud computing technology and Internet of things technology to construct the management and control platform of the bus parking and maintenance field. This paper proposes innovatively to use the framework of comprehensive Internet of Things achieves tracking and feedback of the vehicle in real time, the private cloud architecture solves the problem of data sharing among subsystems in the field and among the fields, and the public external service module adopts a public cloud architecture.
Visualization of Patterns for Hybrid Learning and Reasoning with Human Involvement

“Boxology” is the graphical representation of patterns that are commonly observed in hybrid learning and reasoning systems. Since some hybrid systems also involve humans-in-the-loop, a need to identify patterns including humans is foreseen. With the help of use cases that involve humans-in-the-loop, this chapter provides a discussion on the typical roles performed by humans in hybrid systems and how they influence machine learning and/or knowledge engineering activities. As a result, it introduces a new element in boxology to represent a human and identify two abstract patterns for such human-in-the-loop scenarios.
Finite Open-world Query Answering with Number Restrictions

Open-world query answering is the problem of deciding, given a set of facts, conjunction of constraints, and query, whether the facts and constraints imply the query. This amounts to reasoning over all instances that include the facts and satisfy the constraints. We study finite open-world query answering (FQA), which assumes that the underlying world is finite and thus only considers the finite completions of the instance. The major known decidable cases of FQA derive from the following: the guarded fragment of first-order logic, which can express referential constraints (data in one place points to data in another) but cannot express number restrictions such as functional dependencies; and the guarded fragment with number restrictions but on a signature of arity only two. In this article, we give the first decidability results for FQA that combine both referential constraints and number restrictions for arbitrary signatures: We show that, for unary inclusion dependencies and functional dependencies, the finiteness assumption of FQA can be lifted up to taking the finite implication closure of the dependencies. Our result relies on new techniques to construct finite universal models of such constraints for any bound on the maximal query size.
AUTOMATED SYSTEMS OF HIGH-PRODUCTIVE IDENTIFICATION OF IMAGE OBJECTS BY GEOMETRIC FEATURES

The article substantiates the feasibility and practical value of using a specific simulation modeling methodology, which provides for digital processing and the mathematical essence of neural network technology. A brain tumor is a serious disease, and the number of people who die due to a brain tumor, despite significant progress in treatment remains impressive. In this research presents in detail the developed algorithm for high-performance identification of objects (early detection and identification of tumors) on MRI images by geometric features. This algorithm, based on image pre-processing, analyzes the data array using a convolutional neural network (CNN) and recognizes pathologies in the images. The obtained algorithm is a step towards the creation of autonomous automatic identification and decision-making systems for the diagnosis of malignant tumors and other neoplasms in the brain by geometric features.
Semantic Web of Things (SWoT) for Global Infectious Disease Control and Prevention.

This paper reports on the early-stage development of an analytics framework to support the semantic integration of dynamic surveillance data across multiple scales to inform decision making for malaria eradication. We propose using the Semantic Web of Things (SWoT), a combination of Internet of Things (IoT) and semantic web technologies, to support the evolution and integration of dynamic malaria data sources and improve interoperability between different datasets generated through relevant IoT assets (e.g. computers, sensors, persons, and other smart objects and devices).
Understandable Teams of Pepper Robots

The term understandable robots refers to robots making their actions and intentions understandable (or explainable) to humans. To support understandability of a team of collaborating robots we use natural language to let the robots verbalize what they do and plan to do. Our solution is based on Cooperating Distributed Grammar Systems for plan derivation and a Multi-agent algorithm for coordination of robot actions. We implemented and evaluated our solution on a team of three Pepper robots that work collaboratively to move an object on a table, thereby coordinating their capabilities and actions and verbalizing their actions and intentions. In a series of experiments, our solution not only successful demonstrated collaboration and task fulfilment, but also considerable variation, both regarding actions and generated natural language utterances.
OVERCOMING DIFFICULTIES IN LEARNING ENGLISH AT THE 8th GRADE STUDENTS’ IN CHRISTIAN JUNIOR HIGH SCHOOL RANOTANA WERU

The 8th grade student in Christian Junior High School Ranotana Weru in Manado applies the 2013 curriculum in English subjects which this curriculum focuses on the ability to communicate orally and written. However, students have difficulty in making sentences, especially simple sentences consisting of 1 subject, 1 predicate, and 1 object because they lack of vocabulary, do not understand the structure of the sentence and the absence of a permanent teacher of English. Keywords: English; Vocabulary; Simple Sentences.
Use of Landsat 8 OLI and Aeromagnetic Data for Structural Mapping of Pako Basin Region, North Benin

Spectral geology and aeromagnetic data help geoscientists in mapping and prediction of potential mineral areas. This paper aims to present structural features of the poorly studied Pako region of northern Benin using Landsat 8 OLI images and aeromagnetic data. Remote sensing technique led to the discovery of several faults of two main directions (N-S and E-W), resulting from great regional tectonics’ deformations. The other faults have NE-SW to NW-SE orientations. Among identified faults, N-S faults (N18°) gathering 14% and E-W (N92°) to NW-SE (N160°) fractures cumulating 61% limit the basin on both sides. Therefore, these faults could be interpreted as border fractures which have initiated the formation of Pako basin. Total magnetic field technique held to define anomalous zones and associate shears zones in order to identify potential corridors of mineralization. Field observations in Pako region have confirmed the existence of brittle deformations, as sociated to dextral and/or senestral detachment, and ductile deformations with rotational dextral components. The integration of our results with the regional geological context allow to propose a structural model of Pako region.
Evaluation of Vehicles’ Best Route in Virtual Tactical Teaching Environment Based on Machine-Learning Techniques

Machine learning techniques to assess teaching military tactics when the route traveled by the vehicle, in order to sum up the program operation of the route, can be a more objective measure. At the same time, a 3D virtual battlefield and information visualization are combined to assist the determination of decisions and judgment of tactical actions. This technology helps military personnel to maintain the training model deduced by war and at the same time enhances the concept of situation awareness. In the semi-structured interview, we can see that the tactical actions and thinking methods learned base on machine learning to virtual applications are more realistic and interesting and can help them understand and analyze for battlefield situations. Besides, the study also discussed the significance of artificial intelligence and virtual environments for military education tactics and suggestions for further research
Data Augmentation and Clustering for Vehicle Make/Model Classification

Vehicle shape information is very important in Intelligent Traffic Systems (ITS). In this paper, we present a way to exploit a training data set of vehicles released in different years and captured under different perspectives. Also the efficacy of clustering to enhance the make/model classification is presented. Both steps led to improved classification results and a greater robustness. Deeper convolutional neural network based on ResNet architecture has been designed for the training of the vehicle make/model classification. The unequal class distribution of training data produces an a priori probability. Its elimination, obtained by removing of the bias and through hard normalization of the centroids in the classification layer, improves the classification results. A developed application has been used to test the vehicle re-identification on video data manually based on make/model and color classification. This work was partially funded under the grant.
The Theory of Health and Hygiene in the Textbooks of the Governor-General of Joseon in the 1910s and 20s

The purpose of this article is to examine the health and hygiene descriptions of the textbooks published by the Governor-General of Joseon and to find the contents of the discipline that the colonial powers aimed at. In addition, the research method reviewed the health and hygiene-related units for three subjects of textbooks: Moral training, Joseon-language reading, and National-language(Japanese) reading, in which the “will” of Japanese colonial rule is directly and explicitly projected. In addition, the descriptions of the textbooks were tracked by time to extract the theory of health and hygiene of colonial powers and compared with articles from other media (newspapers, magazines, etc.). In this paper, we first considered the process of publishing textbooks in the 1910s and 20s. In 1911, the “Joseon Education Ordinance” was enforced, but the Japanese Government-General of Joseon could not immediately issue textbooks as new contents, so it first used textbooks compiled by the Korean Empire’s undergraduate departments. Thus, ‘correct’ textbooks were published from 1911. At the same time, the Japanese Government-General of Joseon started a textbook compilation project in accordance with the school system and the confirmation of each school curriculum, and published almost all of the books for ordinary schools in 1917. In 1922, a new ‘Joseon Education Ordinance’ and ordinary school regulations were promulgated and enforced again. Accordingly, textbooks for ordinary schools were newly published. From the 1910s to the 1920s, textbooks were published three times. Secondly, we looked at the logic of health and hygiene. The 1910s and 20s textbooks are based on the theory of health and hygiene that health and hygiene should be taken care of for filial piety (parent), public interest (society), and loyalty (state). Furthermore, there is a logic that health spreads in the order of individuals, societies, and countries. Third, we identified characteristics through key words. What can be seen from the core words of textbooks published in the 1910s and 20s is, first, units of subjects directly related to an individual’s body in lower-level courses, and units of topics related to public hygiene in higher-level courses. Second, it is a characteristic of each period, which shows that new content has been added or replaced by the latter.
Scienza aperta, cittadinanza scientifica e terza missione dell’università: il ruolo delle biblioteche accademiche

Over the last years, the attention towards “university’s third mission” and research dissemination has grown also within Italian academic debate. At the same time, issues related to “open science” and “citizen science” – two sides of the same coin – have also gained increasing visibility. Aim of the article is to contribute to the reflection on the role and positioning of academic libraries – and their librarians – within “third mission” and “citizen science” perspective, focusing on potential opportunities and threats.
Critical success factors for blockchain implementation in supply chains

This research sets out to explore what key factors senior executives should consider when they look to implement blockchain for supply chain. A number of design thinking workshops were organised with 86 senior executives representing a range of diverse supply chain stakeholders, including manufacturers, construction firms, government agencies, port authorities, law firms, banks, technology service providers and consulting companies. Further interviews with senior executives who have led blockchain initiatives were conducted in order to gain more in-depth insights on why those factors matter. The main outputs are a range of key factors that are critical to the successful implementation of a blockchain solution in supply chains. Those factors were grouped into: business viability, ecosystem management, technical feasibility and user desirability. This research makes valuable contribution to both practice and academic literature by highlighting what factors should be considered that will drive the successful adoption of blockchain