Reviewerly/exHarmony huggingface dataset:
Personalized Reading: Developing User-Describing Profile for Slow Learner Children

&lt;p&gt;&lt;span style="font-size: medium;"&gt;&lt;span style="font-family: Times New Roman;"&gt;Personalization is a good supplement for learning process. It has been claimed that personalization has a huge potential of providing solution to facilitate the learning path based on children ability and preferences. Diverse research on personalized learning for children have been conducted which, are commonly concerns on the development and implementation of personalized learning products and services. However these researches have little emphasized in exploring slow learner personalized learning process particularly on their reading ability. With that, this paper aims to highlight two key important processes of personalization for slow learner children which are construction of user profile and scenario. The scope of this study is on personalization of reading for slow learner children. There were 13 slow learner children with reading difficulties from primary school participated in this study. The key findings from this study are the construction of user profile and scenario that represent the personalization for reading. These user profile and scenario construction then provide guidelines for the development of personalized interface design for slow learner reading application. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Research of Motor Skills Performance Evaluation Decision Support System Based on Data Mining Algorithm

In order to improve the performance of motor skills evaluation decision-making, data support is provided for the system through motor skills association data mining, optimum design of motor skills evaluation decision-making support system is carried out, the overall structure model of motor skills evaluation decision-making support system is constructed, the functional module framework and technical index analysis of the system are carried out, software development is carried out in the kernel structure of embedded Linux, and VIX bus is adopted. Technology is used to collect motor skills data. Design data mining technology based on mutual information feature extraction. Data mining code is loaded in the program loading module, and t/Embedded 4.6 is used to create the user interface of motor skills evaluation decision support system to realize visual control and software development design of the system. The simulation results show that the system has high accuracy and good reliability in mining motor skills evaluation decision-making information.
PEMILIHAN BIBIT LELE UNGGUL DENGAN MENGGUNAKAN METODE WEIGHTED PRODUCT

One method of computing that is quite developed today is the method of decision support systems. A decision support system is required in order to have the ability to process a fast, targeted, and accountable in generating a decision. In the breeding and cultivation of catfish there are types of catfish seedlings are superior and not superior seeds, where the fish seeds should be selected and separated between superior and not superior. In the process of selecting superior catfish seedlings, the right selection mechanism is needed in order to produce the appropriate decisions as expected. The result of this research is the development of decision support system that can help the cultivation of catfish produce decision about the type of superior fish seedlings quickly and precisely.
A visual approach to creating multivariate geovisualization test data

Abstract. Testing multivariate geovisualizations, for example glyph designs, for their perceptual qualities requires suitable test data. Synthetic data can be useful for evaluating different data characteristics and their perceptibility through different designs. Real data may not contain all relevant data characteristics, for example with regard to spatial distributions or trends, which may be interesting for testing. Additionally, real data may contain a lot of noise or randomness. Even though, real data are imperative for testing design performance in realistic situations. Fuchs et al. (2017) did a systematic review on 64 glyph evaluation studies, whereof more than 60% used synthetic data. They note that for a better understanding of glyph designs more studies should evaluate glyphs with synthetic and real data. Besides visualization evaluation, a number of application areas, e.g. machine learning or software testing, generate and use synthetic data. Thus, many methods and tools for generating synthetic data exist. Typically, a mathematical function or statistical distribution is defined and random or ordered values, optionally overlaid with noise, are drawn from the defined models to build the synthetic data. However, we found it difficult to create, especially multivariate, spatial distributions of data that follow specific rules and display interactions between the data dimensions with existing tools. Thus, we designed a process that allows the intuitive ‘drawing’ of spatial data distributions and subsequently the derivation of multivariate data from several overlaid layers of ‘drawings’.
Research And Methodological Support Of Professional Activity Quality Of A Lecturer

In modern educational environment of Russia, the special attention is given to the problem of individual's self-actualization including the sphere of professional activity.In modern social and economic conditions this problem is at the top urgency as the society demands self-motivated people and independent specialists able to develop their personality and improve their activity.The article shows the challenging character of solution of the considered problem in terms of organization of research and methodological support of lecturers to create conditions for their successful professional and creative self-actualization.The aim of the article is to demonstrate possibilities of conditions creation in a modern higher education institution for professional and creative self-actualization of lecturers via the technology of research and methodological support of quality of lecturers' professional activity in terms of methodological work organization in a higher education institution.The authors, based on their own management activity experience in terms of department and faculty development, identified components of the considered technology.Creation of appropriate professional and creative educational environment at the department and the faculty via methodological work organization contributes to lecturers' successful performance of professional functions, to social and professional orientation development, to readiness for quick knowledge renovation, to skills and abilities enlargement and to the ability of solving problems of own professional and personality self-actualization.
A Study on Named Entity Recognition with OpenNLP at English Texts

Named entity recognition is a subject, inside of information retrieval which is a subdomain of natural processing. It pertains to identifying and labeling of location, person, organization, etc., inside of text content. Named entity recognition provides identifying and classifying of person, area, etc. inside of formal and informal text content and it can be used for different purposes as question answering systems and removal of the relation between events. In this work, named entity recognition is performed and one method is suggested and results are discussed for assignment to unlabeled name entities by using OpenNLP library with the help of KNIME program in the data set.
The degree of practice transformational leadership of public school principals in Ma'an and its relation to the level of teachers' organizational trust

This study aimed to investigate the degree of practice transformational leadership of public school principals in Ma'an and its relation to the level of teachers' organizational trust from the teachers from their point of view. The study population consisted of all teachers in public schools in Ma'an directorate first, was selected a stratified random sample of it, consisted of (415) teachers, were used questionnaire, The degree of practice of transformational leadership of public school principals was high, and the order of dimensions ordered by means is as follows: ideal influence, the individual consideration, inspiration, and the stimulation intellectual. There are no statistically significant differences in the degree of practice transformational leadership of public school principals in Ma'an from the point of view of teachers attributed to gender. There is a strong relationship statistically significant difference between the degree of practice of transformational leadership of public school principals and the level of teachers' organizational trust.
The Effect of Personal Journal Writing on the Writing Interest and Writing Skills of Third-Graders

Bahasa Indonesia learning includes four skills; speaking, listening, reading, and&#x0D; writing. The four skills are mutually related and supportive to one another. These&#x0D; skills should be balanced. However, writing skill is considered the most difficult one&#x0D; and not interesting for most students. This study aims to investigate the effect of&#x0D; personal journal writing on (1) writing interest and (2) writing skills of third-graders.&#x0D; This study was a quasi-experimental study. The research design was non-equivalent&#x0D; control group with pre-test and post-test design. The population of the study were all&#x0D; third-graders at Keputran A Elementary School. Data analysis used descriptive statistics&#x0D; and inferential statistics; independent sample t-test with significance level 0.05. The&#x0D; results of the study show that (1) personal journal writing affects the writing interest&#x0D; of third-graders, based on the result of the test of independent sample t-test with a&#x0D; significance value of 0.000 or sig. value &lt;0.05; (2) Personal journal writing affects the&#x0D; writing skills of third-graders, based on the test of independent sample t-test which&#x0D; shows a significance value of 0.000 or sig. value &lt;0.05.
Systematization of Nursing Assistance: Perspectives of the Applicability in the Care of the Person with Diabetes and Hypertension

The systematization of nursing care, is a action private of nurses, ensuring better planning of nursing actions and processes.Thus, the study has the objective indetify nurses' perspectives and updates on the application of systematization of nursing care for people with diabetes mellitus and systemic arterial hypertension.It's a qualitative study, of the type practical case of action, carried out at the Basic Health Unit of the Federal University of Amapá, in 2018, with participation of six nurses.The data collection for the interview and a focus group, analysis of results in light of the theory of studies related to the subject.Three themes were identified: Potentials and perspectives in the application of the Systematization of Nursing Assistance in Primary Care; Expected difficulties and difficulties encountered; The use of the Systematization of Nursing Assistance in Primary Care: before and after a practical experience.The implementation of the systematization of care still presents difficulties, however, in the medium term, it will bring more benefits than any burden identified for the assistance and management of human resources and materials of the health unit, promoting interventions more resoluteness and a planning of actions based in scientific knowledge, bringing legal and technical support for the professionals nurses and all team involved.
SuiT: Secure User Interface Based on TrustZone

In lots of security-aware scenarios, trusted user interface (TUI) is indispensable. For example, before signing a payment information, user needs to approve the information. Digital right management (DRM) related applications also need TUI supporting. Although current mobile platforms have provided TEE (Trusted Execution Environment) OS to support trusted applications running, introducing additional drivers into TEE OS is not very secure. The additional drivers may increase the code size of TEE OS and expand the attack surface. In this paper, we present a novel secure UI framework called SuiT based on ARM TrustZone hardware security extension. A secure UI driver and a shadow UI driver are implemented in the normal world. In the secure world, only additional switching code is introduced. When an application needs to interact with user in a trustworthy way, the shadow UI driver will take the place of original UI driver to complete the user interaction. During the UI driver switching process, a temporary trusted execution environment for secure UI driver is dynamically built by the switching code in the secure world. The trusted execution environment ensures that the secure UI driver is executed in a secure way and the potential attacks from rich OS can not tamper with the process of user interaction. We also implement a prototype of SuiT based on Android system and Freescale ARM processor with TrustZone extension. Experimental results demonstrate that SuiT can work well with negligible overhead.
Research on Application of Interaction Design in Landscape Design

With the development of computer science and technology and the application of virtual reality and augmented reality technology, human-computer interaction technology has been widely concerned and applied in many fields. At present, the application of human-computer interaction technology to design and practice urban landscapes has many challenges and new requirements put forward by the trend of the times. First of all, the basic means of human-computer interaction technology include multimedia, augmented reality technology, virtual reality technology, etc., transforming the traditional urban landscape design carrier into the virtual world, and its expression form is more convenient. In addition, the important features of human-computer interaction technology are digitalization and virtualization. By creating design content with strong sense of experience and strong interaction, it brings users a variety of vivid experiences. Therefore, applying it to urban landscape design will bring unprecedented deepening and reform to the field. By applying human-computer interaction technology to the theory, design and application of urban virtual landscape, the future development of this field is studied and explored.
Fundamental Physics used in Forensics

Forensic Science & Addiction Research Fundamental Physics used in Forensics Mukesh Sharma* Assistant Director, India *Corresponding author: Mukesh Sharma, Assistant Director (Physics Division), Regional FSL, India Submission: June 12, 2019;Published: June 28, 2019 DOI: 10.31031/FSAR.2019.05.000606 ISSN 2578-0042 Volume5 Issue1
Subculture Of Pedagogical Community And Teacher’s Development As An Educator

The article presents the results of a study of the influence of the professional subculture of the pedagogical community on the development of the teacher's professional skills as an educator.Obviously, for the development of a teacher as an educator, it is important to have a professional community with a specific set of value orientations, norms of behavior of its carriers, i.e. signs of a professional subculture.In this regard, it is important to investigate the role of the professional subculture in the development of the teacher's professional and personal position and the conditions under which this subculture becomes a factor in its development.The article presents the results of a theoretical analysis of the professional subculture of teachers as educators and the content of the components of this subculture.The methodological basis of the analysis was an axiological approach.The authors put forward the assumption that the basis of familiarizing the individual with the professional subculture of teachers as educators is the identification process, accompanied by attribution and reflection.As a result of the study, the positive role of the professional subculture on the development of a teacher as an educator was determined and the conditions of the development of his professional skills in the pedagogical community were formulated.The results of this study will contribute to the constructive use of the potential of the professional subculture of the pedagogical community in the organization and maintenance of the professional development processes of teachers as educators.
More Accurate Estimation of Working Set Size in Virtual Machines

Accurate working set size estimation is important to increase the consolidation ratio of data centers and to improve the efficiency of live migration. Thus, it is important to come up with a technique that provides an accurate estimation of the working set size of virtual machines that can respond to changes in memory usage in real-time. In this paper, we study the problem of working set size estimation in virtual machines and come up with a method that allows us to better estimate the working set size of virtual machines in Linux. Toward that end, we design a finite state machine that can be used to accurately estimate the working set size and that is responsive to changes in workload. We then implement the algorithm on Linux using QEMU-KVM as our hypervisor. The system is tested using the sysbench benchmark for memory, CPU, and database workloads. The results indicate that our algorithm provides better results in terms of average working set size estimations and is competitive with existing techniques in terms of page faults.
ADNet

End-to-end Correlation Filters based trackers have shown excellent performance in visual tracking both in speed and accuracy. Most existing approaches adopt the Convolutional Neural Network (CNN) features pre-trained from the large-scale datasets off-line. However, Convolutional Neural Network features only capture the appearance information and ignore the depth information which can supply the complementary information for visual object tracking. In this paper, we treat the depth information as an auxiliary feature and combine it with the appearance feature in an efficient manner to improve the tracking performance. Specially, we employ the DCFNet tracker as the basis for feature fusion. As for depth feature, we extract it by a monocular depth estimation network that was pre-trained by KITTI and Cityscapes datasets. Various experiments on OTB-2013 and OTB-2015 benchmarks verify that our method has the state-of-the-art performance while the speed is also at a high level---100 frames per second.
Improvement of Differential Fault Attack Based on Lightweight Ciphers with GFN Structure

In this paper, we focus on differential fault attack on lightweight block ciphers with GFN (Generalized Feistel Networks) structure. With regard to fault injection model and differential equations solving, two improved DFA (Differential Fault Analysis) methods are proposed. Based on this, we present the improved attack process which aims at applying lightweight block ciphers with GFN structure. We conduct 10000 DFA experiments on TWINE and LBlock. Result shows that it only takes 9.18 and 8.42 faults on average to recover the main key K respectively. Moreover, time and space complexity are both negligible.
Improving Data Analysis using Data Mining Techniques for KSOMM and PAPLM

Cluster analysis could also be a descriptive task that seeks to identify consistent cluster of object and it's in addition one in all the foremost analytical technique in processing.K-means cluster with self organization map methodology a neural network methodology is that the popular divided bunch technique.They need a tendency to debate commonplace k mean formula and analyze the defect of k-mean formula.Throughout this paper three dissimilar modified k-mean formulas are mentioned that exclude the limitation of k-mean formula and improve the speed and efficiency of k-mean formula.Experiments supported the quality information UCI show that the projected technique will find yourself a high purity cluster results and eliminate the sensitivity to the initial centers to some extent.E.Coli dataset and Yeast dataset resides issue organism and altogether all completely different super molecule assign in their cell.If that protein is wounded, then these cause varied infections that affected anatomy adversely.So, the target of this work is to classify proteins into altogether all completely different cellular localization sites supported chemical compound sequences of E.Coli bacteria and Yeast.It's found that projected bunch provides correct result as compared to K-Mean and is ideal resolution to localization of proteins.It's in addition known as nearest neighbor trying.It simply clusters the datasets into given kind of clusters.Varied efforts are created to boost the presentation of the K-means bunch formula and our Planned Advanced Proteins Localization Methodology (PAPLM) in rising accuracy of information proteins level analysis then notice best answer.They need mentioned the restrictions and applications of the K-means bunch formula still.Discover our projected formula best resolution.Improving information analysis victimization data processing techniques for KSOMM and PAPLM
Artificial Neural Network (ANN) and regression model for predicting the Albumin to Globulin (A/G) ratio in a serum protein electrophoresis test

Multiple myeloma affects the several parts of bodies such as the spine, skull, pelvis and ribs.The cause of multiple myeloma is not known properly.The poor prognoses is associated with most cancers creates a sense of urgency for the brains behind healthcare Artificial Intelligence (AI) research.AI is able to detect cancer and other diseases earlier than possible through standard diagnostic methods, which could be lifesaving for future patients.The main objective of the research paper is to predict the Albumin to Globulin (A/G) ratio obtained by the electrophoresis test by developing regression model and Artificial Neural Network (ANN) model.The results obtained showed that the Mean Square Error (MSE) obtained by ANN model is less than the MSE obtained by the regression model.
Investigating the Writing Difficulties on Indonesian Second Language Students in Learning English

This study aimed at investigating writing difficulties in the English language faced by second language students.A survey was conducted for this purpose.The data were collected from 30 ESL students consisting of boys and girls as the student participants in some senior high schools in Indonesia.Ten teachers participate in teaching English language for upper and lower levels with different teaching experiences.An essay examination and questionnaire were used as the instruments of this study.The results of the study revealed that Indonesian ESL students have problems in writing tasks, especially in mastering vocabulary, language use (grammar), spelling and punctuation.The practical method including identification, investigation, and solutions should be used for teaching English language in order to cope with writing difficulties.
Construction and Querying of Ancient Poet Knowledge Graph

Abstract In recent years, with the development of knowledge graph techniques, how to construct various of knowledge graphs from different application domains has become important issues. This paper proposes a construction and querying approach for ancient Chinese poet knowledge graph. Firstly, the paper presents an approach for completing the construction of knowledge graph based on the techniques of knowledge acquisition, knowledge fusion, ontology generation and knowledge reasoning. The corresponding algorithms are provided. Then, the paper further investigates and realizes a query system for querying the poet knowledge graph through D3 data visualization query. Finally, several cases are carried out on the query system, and the results show that the approach and the prototype system are effective. The constructed ancient poet knowledge graph may be useful for users to query the poet information more accurately.