Reviewerly/exHarmony huggingface dataset:
An analysis of phonics activities from elementary English textbooks based on the 2015 Revised National Curriculum

The purpose of this study is to analyze the phonics activities of the English textbooks which are currently being used in elementary schools, and thus to find out what needs to be improved in order to develop textbooks for better phonics teaching and learning. For this, all textbooks for grades 3~6 containing phonics activities were analyzed and compared to each other regarding how the phonics contents were presented, the number of phonics sound types and tokens, and the features of phonics teaching and learning activities. The results are as follows. First, the ways in which the phonics contents are presented differed considerably depending on the textbook, such as when to start teaching phonics and the grades and units where phonics instruction is conducted. Second, the number of phonics sound types and tokens presented varies significantly from textbook to textbook. Finally, the types of phonics teaching and learning activities were quite limited as in the previous National Curriculum-based textbooks. Based on the results, some suggestions are made to ensure that elementary school students are given sufficient, more systematic, and equal phonics learning opportunities no matter what textbook they use.
Connecting to Data

Every Power BI report must start with bringing data into our model. Power BI itself has over 80 different connectors that allow users to bring data in from databases, files, cloud resources, and many more. When connecting to some of these sources, you may be presented with various methods on how that connection should be established which will have significant impacts on your report. In this chapter, we will explore some of the various connectors available to users within Power BI and the additional options available depending on the connector chosen. It should also be noted that new connectors are added quite frequently to the tool over time. There is also an option to create your own custom connector which will be discussed briefly in this chapter.
OPTIMIZING E-LEARNING IN WOODWORK TECHNOLOGY EDUCATION FOR SUSTAINABLE DEVELOPMENT IN NIGERIA

The study focused on optimizing e-learning in woodwork technology education for sustainable development in Nigeria. Three research questions guided the study. The study employed a survey research design.  The population consisted of 209, made up of 22 lecturers and 177 students of woodwork technology education as well as 10 Computer/ICTs lecturers in the study areas. The instrument for the study was E-Learning in Woodwork Technology Education Questionnaire (ELWTEQ). The instrument was face validated by three experts and tested for reliability using Cronbach Alpha technique with a co-efficient of 0.79 obtained. Out of 209 copies of the ELWTEQ administered to the respondents with the help of three research assistants, only 193 copies were duly filled and received, which represent 92.79 percentage return rate. The data collected were analyzed using Mean and Standard Deviation. The findings of the study revealed 12 prospects of optimizing in e-learning, 12 challenges of optimizing e-learning and 10 strategies for optimizing e-learning in woodwork technology education. Recommendations were made to effect e-learning collaboration through public-private partnership (PPP) and lecturers’ offices should be adequately equipped with e-learning facilities for their lecture materials to the students.
Cross-lingual Metaphor Paraphrase Detection – Experimental Corpus and Baselines

Correct understanding to metaphors is an integral part of natural language understanding. It requires, among other issues, the ability to decide whether a given pair of sentences – such that the first one contains a metaphor – form a paraphrase pair. Although this decision task is formally analogous to a “traditional paraphrase detection” task, it requires a different approach. Recently, a first monolingual corpus (in English) for metaphor paraphrasing was released – together with several baselines. In this work we are going to shift this task to a cross-lingual level: we state a task of cross-lingual metaphor paraphrase detection, introduce a corresponding experimental cross-lingual corpus (English-Czech) and present several approaches to this problem and set the baselines to this challenging problem. This cross-lingual approach may allow us to deal with tasks like multi-document summarization involving texts in different languages as well as enable us to improve information retrieval tools.
Perceptions, Effectiveness, and Impact of a Dual Enrollment Cybersecurity Course

This poster provides a detailed overview of the data collected from a three year program designed to extend the cybersecurity education pipeline to high school students.
A study on the development of a cultural instruction model in primary English education based on digital literacy using digital textbook

The purpose of this study is to develop a cultural instruction model for primary English education based on digital literacy using digital textbooks. To accomplish the objective, this study examined the importance and direction of cultural education in primary English education and analyzed the components of intercultural competence and digital literacy. On the basis of the literature review of language-cultural integrated education instruction models and digital literacy education instruction models, this study developed a five-step instruction model called MACER (Motivate-Activate-Communicate-Evaluate-Reflect) to integrate language-cultural instruction and digital literacy into English education, which is expected to be effectively applicable in the primary cultural education field. To enhance the validity of the MACER model, a survey was conducted. Then, this study modified and refined the MACER model. Finally, this study introduced steps that teachers can follow to show how the MACER instruction model could work in planning language-cultural instruction in primary English education.
A Précis on Intellectual Property Rights: Challenges and Prospects for Nigeria's Economy

Objective - This research study examines the benefits and advantages associated with Intellectual Property Rights (IPRs) in Nigeria's ecosystem. It scrutinises the contributions of safety or security of heroic inventions and innovations to economic growth. Methodology/Technique – With the adoption of institutional theory, this study examines the pertinent legal instruments, administration and challenges of IPRs in Nigeria. The paper is specifically built on content analysis, key informant interviews, and expert insights which are used to unearth the institutional framework for transforming IPRs into sustainable economic or financial assets. Finding – Based on content validity of the research, it is concluded that IPRs can be transformed into sustainable economic wealth or tangible financial resources with the creation of institutional apparatus for mitigating theft, piracy, or illegal transfer of IPRs in Nigeria as well as other developing nations. Consequently, some key policy suggestions necessary to secure IPRs for economic growth or optimal performance are espoused in this study. Novelty - The paper makes findings relevant to how institutional weaknesses actually spearhead the growth of theft, piracy, and illegal exchange or utilisation of intellectual resources of Nigeria. Type of Paper: Review. JEL Classification: O31, O43, K21, O1, O17 Keywords: Institution; Rights; Economy; Property; Security; Administration. Reference to this paper should be made as follows: OLAGUNJU, O.O. 2020. A Precís on Intellectual Property Rights: Challenges and Prospects for Nigeria's Economy, Global J. Bus. Soc. Sci. Review 8(3): 153 – 161. https://doi.org/10.35609/gjbssr.2020.8.3(2)
Connecting numerical simulation and machine learning: How to bridge the gap between theory and reality?

Machine learning and numerical simulation represent opposite approaches to computational analysis of the real world, inductive vs. deductive. However, both methods suffer from various uncertainties and even their combination often fails to link theory and reality. This paper presents a critical review of such connections and proposes improvement options for optoelectronic devices.
Data Analysis Framework of Human Resource Estimation System Based on MySQL-SAAS and Fuzzy Clustering

Data analysis framework of the tourism enterprise human resource estimation system based on MySQL and fuzzy clustering is designed and implemented in this paper. Firstly, the novel fuzzy analysis framework is proposed. The order reduction process first reduces Type 2 fuzzy sets to Type 1 fuzzy sets and then uses the conventional defuzzification method of Type 1 fuzzy sets to obtain the accurate output, this is adopted as the data pre-processing model. Secondly, SAAS is analyzed. As a container for all kinds of services, component management services provide interface services to the platform, this efficient model is used to construct the analytic framework. Lastly, the system is simulated and validated. Compared with the latest models, the proposed can achieve better performance.
A Standard Architecture of Agricultural Big Data for Deep Learning

Agricultural big data has become a key resource for the development of modern agriculture, and has occupied an important role in the field of agricultural scientific and technological innovation. With the development of deep learning in recent years, we can effectively improve agricultural production efficiency by existing agricultural data sets to build deep learning algorithm models. There are new ideas to explore the standard architecture of agricultural big data. By formulating standard and standardizing agricultural data process, we established a standard architecture of agricultural big data for deep learning. The result can promote the implementation of deep learning application, and support standardization of technological achievements transformation in agricultural big data.
Pre-service Teachers’ Engagement in Multiliteracies in an EFL Literature Classroom: Focusing on River Boy

The present study explores how L2 pre-service teachers engaged in a multiliteracies pedagogy in an EFL English literature classroom. The research was carried out based on a qualitative action research method by relying on multiple data sources, including classroom observation, students’ classroom artifacts, such as response journals, and multimodal storytelling products, and course review survey responses. Four themes emerged as the results of study: 1) EFL pre-service teachers could develop the notion of multiliteracies through multi-layered scaffolding; 2) L2 pre-service teachers could become the ‘’designers“ of meaning; 3) Engaging in multiliteracies helped L2 learners develop the awareness of audience in their writing; and 4) EFL pre-service teachers could exercise their agency through the process of creating multimodal storytelling. The results of this research suggests that multiliteacies pedagogy can be a viable approach in an L2 classroom, providing the 21st century learners with meaningful learning experiences.
Geometry model extraction for perfusion modeling in liver surgery

Background: Planning of liver surgery especially in changed liver parenchyma (cirhosis, steatofibrosis) needs to know liver perfusion status. This can be described by liver perfusion modeling, which basic elements are models of organ geometry and vascular system. However, nowadays Methods does`t produce the model suitable for flow modeling. Due to the imperfections of the scanning Methods, the model’s vascular wall is not smooth enough to faithfully imitate the real blood vessels. Based on computed tomography images, it is necessary to create a model that is suitable for flow modeling. Methods: The model of parenchyma was created by delineation of CT data using 3D Graph-Cut method and user interaction. Liver density is modeled by the Gaussian Mixture as well as the density model of other tissues. Model of the vascular system geometry was obtained by the Connected Threshold method with pre-processing using Gaussian Filter and post-processing based on Binary Morphological Operations. Branch analysis was performed on skeletonized image to determine parameters of vascular segments: length, diameter and orientation. Results: For basic parameters of the model quality we considered the uniformity of hepatic parenchyma coverage by the vascular system. Uniformity was measured as the ratio of the maximum distance of any voxel and the average distance of all voxels. A new geometry model for blood flow modeling has been established. Conclusions: Extraction of the liver blood vessel tree geometry is the starting element for perfusion modeling, that are absolutely crucial for lanning of extended liver resections in diffuse liver parenchyma diseases. The proposed modeling algorithm meets the basic requirements for uniformity of stromal tree distribution in the parenchyma. The Results will be used in preparation of liver surgery analysis and planning. Acknowledgment: This study was supported by the Centrum of Clinical and Experimental liver surgery (UNCE/MED/006) and National Sustainability Program I Nr.LO1503.
Mechanisms of professional competence development for future teachers

This article discusses the formation and content of professional competence in future vocational education teachers, the role and importance of basic competencies in their preparation for professional activity, the mechanism of formation of students' knowledge, skills and competencies in general and specialized disciplines through interdisciplinary relations. and issues such as the integrative-differential approach.
Report Writing Basics

Once all the data shaping and data modeling have been completed, we report writers still have the important task of deciding which visualizations to use to bring our data to life. There are over 30 visualizations built into Power BI. If we do not make the right decision on which to use for displaying certain data, it could lead to confusion or just a general lack of direction when it comes to delivering a message to our end users. In this chapter, we will look at choosing the right visuals for categorical data, showing data trends, visualizing goal tracking, and displaying geographical data. Although it will not be looked at in this chapter, it should be noted that there are also over 260 custom visualizations available from the Microsoft App Store.
Design of Education Tool for Reinforcement-Learning Agent Developers

Because of the diversification of network service requirements, agent-oriented computing is attracting attention as a means of realizing flexible systems. A learning agent adds “learnability”, which produces optimal behavior based on results of past behaviors. The learning agent can perform flexible and efficient actions by learning. Learning agents often deal with problems where uncertain factors such as stochastic events affect the outcome. This uncertain factor adversely affects the learning opportunities to educate the learnability of agents. Furthermore, such problems present obstacles to the training of learning agent system developers. Therefore, we investigated whether a tool that enables efficient education considering uncertain factors such as probabilistic events is effective for the education of learning agent developer.
Armv8-32 SIMD Integer Programming

This chapter covers Armv8-32 SIMD programming using packed integer operands. The content is partitioned into two major sections. The first section focuses on SIMD arithmetic including addition, subtraction, multiplication, and shift operations. The purpose of this section is to illustrate basic Armv8-32 SIMD instruction usage. The second section presents SIMD functions that are useful for image-processing applications. This section also introduces a simple method of benchmarking the performance of an assembly language function. The discussions in this chapter assume that you are familiar with the material introduced in Chapter 7.
On a Cooperative Hybrid Algorithm Based on Harmony Search and Differential Evolution for Numerical Optimization

Hybrid algorithms aim to mix features from two or more evolutionary/swarm algoprove both the exploration and exploitationabilities of the algorithm. Generally, hybrid algorithms prrithmsto imesent the same quality of solution than the canonical ones,in the worst case scenario. However, it is common that hybridalgorithms present better outcomes than the canonical ones. Inthis context, this paper proposes a cooperative hybrid algorithmbased on Harmony Search and Differential Evolution named HS-DE.The algorithm has been tested in five benchmark functions wellknown in the literature. Results have shown that HS-DE presentsbetter solutions than Genetic Algorithms, Particle Swarm Optimization,Differential Evolution, and Harmony Search in all benchmarkfunctions.
Novel Controller for Dummy Rounds Scheme DPA Countermeasure

In our previous work, we developed the Dummy Rounds countermeasure to protect the hardware design against side-channel attacks. The scheme employs hiding in time and hiding in consumption. After several improvements of the data path, the leakage has been minimized significantly. In this paper, we present the enhancement of the Dummy Rounds controller. This enhancement enables further reduction of the leakage. We tested the method on PRESENT cipher implemented in the Sakura-G board. The design was evaluated using Welch's t-test.
Location Estimation of RF Emitting Source Using Supervised Machine Learning Technique

Supervised machine learning algorithms are dealing with a known set of input data and a pre-calculated response of that set (output or target). In the present work, supervised machine learning is applied to estimate the x-y location of an RF emitter. Matlab Statistical and Machine Learning Tool Box 2019b is used to build the training algorithms and create the predictive models. The true emitter position is calculated according to the data gathered by two sensing receivers. Those data are the training data fed to the learner to generate the predictive model. A linearly x-y moving emitter-sensors platform is considered for generality and simplicity. Regression algorithms in the toolbox regression learner are tried for the nearest prediction and better accuracy. It is found that the three regression algorithms, Fine tree regression, Linear SVM regression, and Gaussian process regression (Matern 5/2) achieve better results than other algorithms in the learner library. The resulted location error of the three algorithms in training phase are about 1%, 2.5%, and 0.07% respectively, and the coefficient of determination is about 1.0 for the three algorithms. Testing new data, errors reach about, 4%, 5.5%, and 1%, and the coefficient of determination is about 0.9. The technique is tested for near and far platforms. It is proved that emitter location problem is solved with good accuracy using supervised machine learning technique.
Sigma Key Agreement Protocol for e-Banking System

In this paper the solution of preventing active adversary attack, namely Man-in-the-Middle (MiM) attack in e-Banking system is presented. The vulnerable part of communications between user and Bank is the poor authentication level at the user’s side. Therefore, it is a challenge to provide users by the modern means of authentication using e.g. smart phones.The conjunction of Diffie-hellman key agreement protocol and Schnorr identification protocol is presented by transforming Schnorr identification protocol to Sigma protocol.It is proved that proposed protocol is secure against active adversary attack, namely against MiM attack under the discrete logarithm assumption.
Peningkatan Keterampilan Mengidentifikasi Unsur Cerita Melalui Model Cooperative Integrated Reading and Composition (CIRC) di Kelas V SDN Soko Kabupaten Tulungagung

This study aims to describe the application and improvement of skills in identifying elements of the story through the CIRC model. This type of research used is Classroom Action Research. The subjects of the study were the fifth grade students of SDN Soko, which consisted of 21 students, consisting of 11 male students and 10 female students. Student activity in the first cycle reached 82%, increasing in the second cycle to 94%. The average value of students' skills in the first cycle was 73 with a 66% classical completeness and in the second cycle the average score was 78 with a 88% classical completeness. Penelitian ini bertujuan untuk mendeskripsikan penerapan dan peningkatan keterampilan mengidentifikasi unsur cerita melalui model CIRC. Jenis penelitian yang dipergunakan adalah Penelitian Tindakan Kelas (PTK). Subjek penelitian adalah siswa kelas V SDN Soko yang berjumlah 21  siswa, terdiri dari 11 siswa laki-laki dan 10 siswa perempuan. Aktivitas siswa pada siklus I mencapai 82% meningkat pada siklus II menjadi 94%. Nilai rata-rata keterampilan siswa pada siklus I sebesar 73 dengan ketuntasan klasikal 66% dan pada siklus II nilai rata-rata  mencapai 78 dengan ketuntasan klasikal 88%.
Exploring Power Apps Screens and Controls

In this chapter, you will learn how to build an application from scratch. As part of that, you will see how to use some of the many common controls and connectors for building those apps and how to change some of the common settings.
Remote orthopaedic consultations for primary care patients by a large-scale telemedicine service

Abstract Backgrounds Telemedicine was implemented in Brazil to support primary care practitioners. As orthopedic complaints are frequent in primary health care (PHC), this study aimed to analyze the profile of orthopedic teleconsultations requested by PHC health professionals. Methods This observational, transversal study analyzed consecutive orthopedic teleconsultations from March/17 to July/19. Teleconsultations were classified as: character (educational or assistance), focus of the doubt (diagnosis, treatment or rehabilitation) and the location of involvement (muscle, bone, joint). Sex of the patients, professional category of the professionals who requested and the ones who responded teleconsultations, and Human Development Indexes (HDI) of the cities were accessed. Results Throughout the study, 415 teleconsultations were accessed from 112 municipalities with an HDI average of 0.651. The professionals who requested most of the teleconsultations were nurses (47%) and physicians (35%) and the ones who answered were mostly internal medicine physicians (61%) and orthopedists (34%). Most doubts were related to assistance of a specific patient (66%). Of those, the majority were female (59%). In 68% of the teleconsultations, there was a request for assistance in patient treatment, 38% for diagnosis and 25% for rehabilitation. Doubts were more often related to bones (46%) and joints (24%). Of those who specified the complaint, 17% were about general pain,14% low back pain and 4% fracture. The main subspecialties were spine (23%), foot (19%) and knee (11%). In 9% of cases, there was an indication for referral for in-person orthopaedic consultation. Conclusions Teleconsultation helps to identify the most frequent doubts in PHC. Most of those were solved in PHC with no need for referral, what evidenced the great potential of using teleconsultations in clinical practice, as a useful tool to qualify the referral to the specialist. Key messages Importance of telehealth tools for a public health system, especially for a country where the distance is a barrier to access healthcare services. Teleconsultation have been proven to be an effective strategy to qualify the referral to the specialist.