Reviewerly/exHarmony huggingface dataset:
Low area field‐programmable gate array implementation of PRESENT image encryption with key rotation and substitution

Lightweight ciphers are increasingly employed in cryptography because of the high demand for secure data transmission in wireless sensor network, embedded devices, and Internet of Things. The PRESENT algorithm as an ultra-lightweight block cipher provides better solution for secure hardware cryptography with low power consumption and minimum resource. This study generates the key using key rotation and substitution method, which contains key rotation, key switching, and binary-coded decimal-based key generation used in image encryption. The key rotation and substitution-based PRESENT architecture is proposed to increase security level for data stream and randomness in cipher through providing high resistance to attacks. Lookup table is used to design the key scheduling module, thus reducing the area of architecture. Field-programmable gate array (FPGA) performances are evaluated for the proposed and conventional methods. In Virtex 6 device, the proposed key rotation and substitution PRESENT architecture occupied 72 lookup tables, 65 flip flops, and 35 slices which are comparably less to the existing architecture.
Real-Time Analysis of Athletes’ Physical Condition in Training Based on Video Monitoring Technology of Optical Flow Equation

This article is dedicated to the research of video motion segmentation algorithms based on optical flow equations. First, some mainstream segmentation algorithms are studied, and on this basis, a segmentation algorithm for spectral clustering analysis of athletes’ physical condition in training is proposed. After that, through the analysis of the existing methods, compared with some algorithms that only process a single frame in the video, this article analyzes the continuous multiple frames in the video and extracts the continuous multiple frames of the sampling points through the Lucas-Kanade optical flow method. We densely sampled feature points contain as much motion information as possible in the video and then express this motion information through trajectory description and finally achieve segmentation of moving targets through clustering of motion trajectories. At the same time, the basic concepts of image segmentation and video motion target segmentation are described, and the division standards of different video motion segmentation algorithms and their respective advantages and disadvantages are analyzed. The experiment determines the initial template by comparing the gray-scale variance of the image, uses the characteristic optical flow to estimate the search area of the initial template in the next frame, reduces the matching time, judges the template similarity according to the Hausdorff distance, and uses the adaptive weighted template update method for the templates with large deviations. The simulation results show that the algorithm can achieve long-term stable tracking of moving targets in the mine, and it can also achieve continuous tracking of partially occluded moving targets.
Employment the Word Cloud in Brainstorming via the Web and Its Effectiveness in Developing the Design Thinking Skill

The purpose of this study was to investigate the effectiveness of using word clouds in brainstorming on developing design thinking skills through the web environment among Taibah University students in Saudi Arabia, and the degree of design thinking skills among students.The lesson of E-learning course was developed in two different modes, brainstorming via the web and virtual classes.Quasi experimental factorial design was adopted in this research.The independent variables were the two modes of courseware (the mode brainstorming through a word cloud, and the second mode virtual classes).The dependent variables were the design thinking skills.The study sample consisted of 72 students and were randomly (simple random sample) selected from ten classrooms.Descriptive and inferential statistics were conducted to analyse the collected data through the SPSS software.Analyses of covariance (MANCOVA) were performed to examine the main effects of the independent variables (Brainstorming) on the dependent variables (Design thinking skills).The findings of this study showed that students using the brainstorming via the web mode performed significantly better than those in the virtual classes mode.And that the students have a moderate degree of design thinking.
Creative Dialogue In Informal Art Associations: Axiological Aspect

The aim of the article is to study the axiological aspect of the creative dialogue of participants of informal art associations as a form of artistic communication.An axiological approach, that is based on identifying the value bases of the activities of these communities in the context of national culture and intercultural interaction, seems to be perspective.The use of typological, diachronic and synchronic methods made it possible to reveal the research topic more deeply.The importance of communicative tasks is highlighted as a fundamental value characteristic of the activities of informal art associations.The key concept is creative dialogue, which is defined as not only speech communication, but also the exchange of ideas and a joint creative act.An important condition for the implementation of this dialogue is the ease of communication and friendly competition.The importance of the axiological function of art associations is established.It consists in the assimilation of cultural values by society that are embodied in the results of the creative activity of the participants.Informal art communities can be an alternative to radical political tendencies in society, since the activities of the participants are creative, aimed at the benefit of society.Creative dialogue is not only a "horizontal" type of communication within an artistic association and outside of it in the process of intercultural interaction, but also a "vertical" one -based on interest in the national heritage and the transfer of the results of creative searches to the younger generation.
Language Learning Strategies (LLS) Implementation of Students and Teachers at a Malaysian Pre-Tertiary Educational Institution

The study which took place at a Malaysian pre-tertiary educational institution aimed at investigating the implementation of language learning strategies (LLS) of its two major stakeholders, namely the students and the teachers. As the study employed mixed-method design, both quantitative and qualitative data were collected as to report the findings. The Strategy Inventory for Language Learning Strategies (SILL) and classroom observation protocol were the two important instruments for this study. A total of 300 students were involved in the study in which the number was determined using Krejcie and Morgan table. The students were divided into two groups consisting of 150 students who passed the institution’s English Proficiency Test, being referred to as ‘EPT-pass’ and 150 students who failed the test, hence known as ‘EPT-fail’ in the study. Four teachers voluntarily involved in the study after invitation to be part of the study was extended to all teachers at the educational institution. Analysis of data was done using descriptive statistics (mean and standard deviation scores) and thematic analysis. The findings showed that students employed indirect language learning strategies more than direct strategies with EPT-pass group recording (M=4.084, SD=0.625) and EPT-fail group with (M=2.722, SD=0.466). It was apparent that metacognitive strategies (M=4.361, SD=0.954) were EPT-pass group’s most employed strategies while EPT-fail students implemented affective strategies (M=3.077, SD=0.399) the most. Additionally, LLS were undoubtedly embedded into the lesson implementations of the four teachers whose lesson implementations were observed. The study implies that LLS play fundamental part in the teaching and learning of English and should be directly nurtured and embedded into English language classrooms to ensure more effective implementations.
Parameter Optimization of Customized FDM 3D Printer Machine for Biocomposite Material [Sago/PMMA] Using 2k Fractional Factorial Design

Bone fracture caused by various incident causes medical problems. Then bone restoration is required. Bone grafts can be used to solve this problem. One of the materials that can be used to produce bone graft is PMMA. PMMA requires to be combined with other materials to extend the solidification time. The material that can be used for bone graft material is sago starch. The main ingredient composition of Biocomposite [sago/PMMA] consists of sago: PMMA = 1 : 1 (w/w). The composition of the addition of MMA is 10% (v/w) of PMMA, this is to extend the curing time. Thus the material can be through from the chamber extruder to the nozzle. This research aims to obtain combinations of 3D Printer FDM Customized machine parameters for minimizing of error dimension. The 3D Printer machine uses pneumatic system to push the material from the container to the chamber and used screw extruder to push the material out through the nozzle. The experimental design method used a 2 k fractional factorial design, with 3 parameters, 2 levels and 3 responses. The experimental results obtained that the layer height parameter has a significant influence on the x-dimensional error. The optimization results obtained a combination of parameters to get the smallest error dimensions, the print speed is 25 mm/s, the layer height is 2.93 mm and the fill density is 20%. The results of optimization obtained that the x-dimensional error is 0.016, the y-dimensional error is 0.069 and the z-dimensional error is 0.4539.
Sentimen Analisis Customer Review Produk Shopee Indonesia Menggunakan Algortima Naïve Bayes Classifier

Gaining customer satisfaction and trust has become the main challenge in achieving success in the business world. Business people need to identify problems that arise from reviews given by customers. However, reading and classifying each review takes a long time and is considered ineffective. To overcome this, this study aims to analyze the customer sentiment of shopee products using the nave Bayes classifier algorithm. The data used in this study is a customer review of the Xiaomi Redmi Note 9 products which are sold on the Shopee Indonesia website. Customer review data is collected by applying the Web Scraping technique. The algorithm used in this study is the Naïve Bayes Classifier which is known to be popular and effective in classifying data. This study also applies the Knowledge Discovery in Text (KDT) methodology to extract information from text data. The results of the classification using the Naïve Bayes algorithm found an accuracy value of 85%. This study proves that by applying sentiment analysis techniques, business people are able to find out the opinions of customers as an evaluation material that needs to be done to optimize the products and services provided.
Pengembangan Media Big Book terhadap Pengetahuan Bencana Banjir pada Anak Usia 5-6 Tahun

The increasing activity of the population and the need for space is a problem with the development trend in urban areas. Flash floods become the most dominating disaster. Lack of knowledge about the risks of flood disasters makes children the most vulnerable group in society when natural disasters occur. Knowledge of flood disasters needs to be introduced to children from an early age, because disasters have become a routine occurrence in daily life. This development research aims to determine the design of the big book media development and the feasibility of the big book media on knowledge of flood disasters in children aged 5-6 years. This research uses the type of research R &amp; D or (Research and Development) with the ADDIE model (Analyze, Design, Development, Implementation, Evaluation). This research consists of 3 stages, namely: (1) Analysis, (2) Design, (3) Development. Data collection techniques using questionnaire data. The media big book is A3 size and 18 pages in size, containing material about the causes and consequences of flooding, preparation before, during and after the flood. The big book media display shows the character Kiki with his father and mother during a flood and carrying equipment to face the flood. Feasibility of media products in terms of material and media based on assessment instrument indicators. Based on the analysis of the results of calculations based on the validation test by material experts amounting to 86.1% and media experts by 95.6%, the results are very feasible category. The percentage of results from suggestions and input by 10 PAUD teachers as media users obtained a result of 79.6%, which was categorized as feasible. Thus, the development of the big book media on knowledge of flood disasters in early childhood is deemed appropriate as a learning medium for early childhood.
Optimal Path Planning using Informed Probabilistic Road Map Algorithm

This study aims to propose a new path planning algorithm that can guarantee the optimal path solution. The method used is to hybridize the Probabilistic Road Map (PRM) algorithm with the Information Search Algorithm. This hybridization algorithm is called the Informed-PRM algorithm. There are two informed search methods used. The first method is the informed sampling through an ellipsoid subset whose eccentricity is dependent on the length of the shortest current solution that is successfully planned in that iteration. The second method is to use a local search algorithm. The basic PRM algorithm will be run in the first iteration. Since the second iteration, the generation of sample points in the PRM algorithm will be carried out based on information. The informed sampling method will be used to generate 50% of the sampling points. Meanwhile, the remaining number of sample points will be generated using a local search algorithm. Using several benchmark cases, we compared the performance of the Informed-PRM algorithm with the Rapidly Exploring Random Tree* (RRT*) and informed RRT* algorithm. The test results show that the Informed-PRM algorithm successfully constructs the nearly optimal path for all given cases. In producing the path, the time and path cost of the Informed-PRM algorithm is better than the RRT* and Informed RRT* algorithm. The Friedman test was then performed to check for the significant difference in performance between Informed-PRM with RRT* and Informed RRT*. Thus, the Informed-PRM algorithm can be implemented in various systems that require an optimal path planning algorithm, such as in the case of medical robotic surgery or autonomous vehicle systems.
Dissemination and Exploitation of Regional Meteo-Hydrological Datasets through Web-based Interactive Applications: The SOL System Case Study

The effects of climate change are already being felt in several parts of the World. Variability of changing rainfall intensity, drought and weather patterns contribute to determining the vulnerability of many human activities such as agriculture. In the next future, climate change considerations will depend on having appropriate strategies such as strengthen implementation agencies working in a coordinated manner and with a data-driven approach in order to ensure monitoring, reporting and data verification. In this context, national and regional meteorological Services are facing with high demand for timely and quality information, services and products. A web-based interactive application with the aim of disseminating meteo-hydrological information at regional scale is described in this paper. The web application is built on a relational database and client-side programming has been used for implementing the user interface and controlling the web page behavior. The combination of PHP (Hypertext Preprocessor, a general-purpose scripting language, especially suited to server-side web development) and JavaScript (high-level object-oriented scripting language, nowadays the dominant client-side scripting language of the Web) has been chosen for this reason, since such software is free to use for everyone. The SOL system, developed on behalf of Marche region, Italy, was chosen as a case study, due to its multi-source data framework and because of the processing and public dissemination of several ad-hoc data elaborations.
Current State of High-School Students’ Multiliteracy after a Year of Online Lessons in the Context of Chile

&lt;p style="text-align: justify;"&gt;The worldwide pandemic Coronavirus disease, affected every aspect of people’s lives due to being locked at their homes, therefore many difficulties began to appear, especially in education. Scholars were the leading group that has been affected the most due to the online lessons that began from one day to another, without any kind of previous training specifically in these types of contexts at home. According to some national diagnostical studies, most of the students could not achieve the minimum educational objectives in mathematics and language, which are the essential subjects in Chilean education. In this study, in which qualitative phenomenology analysis was used, the aim was to reveal the current state of students after a whole year of online lessons in terms of personal technological use and personal perceptions about e-learning. In this study, in which the criterion sampling was used, semi-structured interviews were conducted with 10 adolescents from different sorts of schools who experienced online lessons using their previous personal knowledge in Information and Communication Technologies. The data were analyzed in Nvivo node tree, which revealed six main themes that define the experience and personal perception of the participants: adaptation to the new order, learning by their own, how to use better the technology, use of social media, new ways of personal knowledge sharing, importance of classmates. It is believed that the results obtained from this study will contribute to schools’ view of learning and teaching education in the 21st century and to improve students’ experiences in online lessons.&lt;/p&gt;
Step Surface Profile Measurement Based on Fringe Projection Phase-Shifting Using Selective Sampling

Fringe projection is a non-contact optical method that is widely used in the optical precision measurement of complex stepped surfaces. However, the accuracy of the fringe phase extraction employed has a direct impact on the measurement precision of the surface shape. Where phase-shifting measurement is used, the classical equal step phase extraction algorithm can only be used to measure simple and smooth surfaces, and leads to measurement errors on complex stepped surfaces, which affects the accuracy of the phase extraction. In addition, the iterative process lasts for a long time, resulting in a low efficiency. This paper proposes a step-by-step phase-shifting extraction algorithm based on selective sampling to measure the contour of the stepped surface. Firstly, the fringe pattern is sampled at equal intervals to reduce the iterative calculation time. Finally, the accurate measurement phase is calculated by the alternating iteration method. The phase extraction accuracy and iteration times are compared in experimental measurements between classical iterative algorithms such as four-step phase-shifting algorithms and the variable phase shift phase interpolation algorithm based on selective sampling. It is shown that the variable frequency phase-shifting extraction algorithm based on selective sampling has a shorter operation time, smaller error, and higher accuracy than the traditional iterative algorithm in fringe projection measuring complex stepped surfaces.
Fire Safety Management in Malaysian Higher Educational Institutions

Most universities and college campuses across Malaysia are engaged in developing policies, programmes, and systems to reduce fire risks, and maintain fire safety. Although the awareness of fire disasters has increased among some parts of the society, the concept of fire disaster preparedness and response in universities has not been sufficiently explored. Therefore, this paper aims to establish a conceptual framework fire safety management plan in Malaysian Higher Educational Institution. The method used by this paper is synthesizing previous articles from selected journals and conference proceedings, reports, standards on disaster risk management, higher institution contingency and fire safety plans, and existing guidelines from authorities. The key elements of fire safety variables from the previous literatures assist this study in developing a conceptual framework related to fire safety management plan. The findings of this paper include the elements of fire safety management like organizational responsibilities (mitigation/prevention), emergency preparedness including emergency facilities, emergency contact details, information, and communication training, and testing and reviewing (response &amp; recovery). The establishment of this conceptual framework of fire safety management can guide the management teams at higher educational institutions in delivering information to Emergency Response Team (ERT) to ensure its effectiveness. Moreover, this framework will help the management team to adopt, validate, and evaluate, which enhances the ability to detect crisis signal that will minimize losses.
Supplemental Material: New insights into organic matter accumulation from high-resolution geochemical analysis of a black shale: Middle and Upper Devonian Horn River Group, Canada

Geochemical data, organic petrographic analysis, and supplemental figures.
The Role of Parents in Training Deaf Children

The purpose of this study is to find out how parents play in training the speech of deaf children. The research method used is qualitative with library research, namely a series of studies related to library data collection methods, or research objects whose research objects are excavated through various library information (books, encyclopedias, scientific journals, newspapers, magazines, and documents). The results showed that parents have tried to train their children by getting used to talking continuously during learning from home using props and motivating the child to learn. Parents and teachers work together and consult on how to practice speech. The development of sound and rhythm perception communication is a program that is carried out to train the ability of deaf children. But at the time of the covid-19 pandemic parents became special companions as well as teachers while at home to train their children to speak the language daily in addition to being helped through listening aids guided by their teachers.