Reviewerly/exHarmony huggingface dataset:
A Novel Surgery Navigation System Combined with Augmented Reality Based on Image Target Positioning System

Current medical surgical navigation allows surgeons to use the surgeon as a more accurate aid. However, most Dicom images are projected onto another screen, and it is quite inconvenient for the doctor to perform surgery on the patient while watching another screen. This paper takes brain surgery as an example, using augmented reality technology based on image target positioning system, combined with smart phone, can instantly display the image of Dicom superimposed on the patient's head to provide surgical assistance for doctors. The surgical vision is more intuitive and focused. This paper is also implemented on Android smart phones to prove the feasibility of this technology.
The Essential and Content Characteristics of Methodical Competence of the Future Teacher of Mathematics

The article presents the results of the analysis of scientific, psychological and pedagogical sources devoted to the study of the problems of methodological competence formation. The problem of methodical competence formation of the future teacher of mathematics is particularly relevant in the context of the implementation of the competence approach. Nowadays when the models of methodical competence as a professional and personal quality of the future teacher and methods of its effective formation are not sufficiently developed, it becomes of vital importance to solve the problem of methodical competence formation. This is due to the requirements to improve the quality of mathematical training. The author’s interpretation of the essence of the concept of “methodological competence of the teacher of mathematics” is given, as well as the structural components of the methodological competence of the future teacher of mathematics are defined. The analysis of the received results of experimental work are carried out.
Song Recommendation System Using Hybrid Approach

Machine learning and deep learning have become the future of many modern technologies. One of the prominent applications of them is recommendation system. With data increasing rapidly with time, we have millions of options available on Internet and choosing one is a hectic task. Hence, recommendation system plays a vital role in this task. This paper highlights pros and cons of various techniques used for recommendation system like popularity, collaborative and content-based models. Moreover, it discusses hybrid approach by combining user and item-based collaborative filtering model and how it helps us in increasing precision.
Effects of GUI-based Programming Learning before CUI-based Programming Learning: Toward Continuous Learning in Computer Programming

With the recent development of ICT (Information and Communication Technology), information technology in society has made remarkable progress. Along with this, in Japan, programming has already been a mandatory subject in junior high school and it has been decided to make programming a mandatory subject in elementary school. We have studied the effects of robot control using a GUI-based programming environment (Scratch) as an introductory education to programming, and a positive effect was confirmed. However in order to perform continuous programming learning, we need to move from GUI-based to CUI-based programming education. In these years, we have been testing out the transition education from GUI-based to CUI-based of programming for first-year university students. From these results, prior GUI-based learning has been confirmed to have a positive effect for students' comprehension of subsequent CUI-based learning in a continuous programming learning.
Multicriteria task of distribution of flows of a transport communication network

The paper proposes a new approach to solving the problem of distribution of information flows on the communication network based on the method of constraints. A multi-pole multi-product graph is used as a mathematical model of the communication network structure. The problem of distribution of information flows is solved in three stages. At the first stage, the structural analysis of the network is carried out using the mathematical apparatus of Boolean algebra. As a result, we get a lot of ways to distribute information flows. At the second stage, the structural reliability of the found set of information flow distribution paths is calculated using the orthogonalization algorithm. At the final stage, using the method of constraints, a compromise version of the distribution of information flows of corresponding pairs of nodes is found.
Image Denoising Based on Sparse Representation over Learned Dictionaries

Image is an important carrier of information, but the existence of noise will affect the quality and efficiency of information interaction. Image denoising is a classical problem in image processing, in order to improve the denoising effect, we proposed a method based on improved K-SVD algorithm. First, the high frequency and low frequency of the original noisy image are separated. Besides, the improved K-SVD algorithm is used for sparse reconstruction of the high frequency part of the image. Finally, the denoised high frequency part and the low frequency part are superimposed to make the final clean image. The experiments show that this method can achieve better denoising effect compared with DCT based denoising algorithm, K-SVD algorithm and LC-KSVD model.
Improved Multi-objective Evolutionary Subspace Clustering

This paper presents a subspace clustering method using an evolutionary-based multi-objective optimization framework. Recently, subspace clustering techniques become popular in solving many clustering problems where the key task is to identify groups of objects where the objects in each group have some similar properties with respect to a subset of features which are relevant to the group. Again, the simultaneous optimization of multiple objective functions helps to identify the subspace clusters effectively. The proposed method optimizes multiple objective functions simultaneously so that it can generate good quality subspace clusters. Two cluster validity indices namely XB-index and PBM-index are modified to make them applicable for subspace clustering problem. The evolutionary-based technique is used to simultaneously optimize these two validity indices to generate the subspace clusters. Various mutation operators have been used to generate good offsprings and to explore the search space effectively. The proposed approach is tested on 7 real-life data sets and 16 synthetic data sets. The efficacy of the proposed method is shown by comparing the results with many state-of-the-art algorithms.
Students' Grammatical Error in Using Present Tense

Students’ error analysis is very important for helping English as a Foreign Learners’ (EFL) teachers to develop their teaching materials, assessments and methods. The study aims to describe and analyze the students’ grammatical error in the use of  simple present tense, and the cause of errors by the eleventh grade students of Senior High School (SMAN)  4 Bandar Lampung in the  school year of 2018/2019. This is a kind of descriptive qualitative study, in which the data consisted of students’ sentences containing errors in the use of simple present in the text of analytical exposition, viewed from Linguistic Category Taxonomy (LCT). The study discovers that there are five types of errors based on LCT. They are errors of noun phrase, verb phrase, verb-and-verb construction, word order and transformation. Moreover, the causes of error most widely performed are subsequently  performance fault, overgeneralization, markers of transitional competence, teacher-induced error, scheme of communication and assimilation, interference.
Tamper Detection in Cassandra and Redis Database—A Comparative Study

With the advent of technology, there is a rapid growth in the number of users and the data related to them. To store this surplus amount of data, we need the concept of databases. Database is a collection of huge amounts of data. There are many problems in the storage of database such as data consistency, data integrity and many others. When the database gets exposed to outside world either by intruder or insider, it causes major loss for an enterprise. But being in such a data prone era, it is likely that our data is vulnerable, and it is attacked by the cyber criminals. That is why it is required to detect tamper at correct time. In this paper, we are using log files for tamper detection and to check its integrity hashing technique is used. This paper gives the idea of tamper detection in Redis and Cassandra.
PENINGKATAN MINAT BACA SISWA MELALUI PENERAPAN MODEL PEMBELAJARAN PLAY-THINK-PAIR-SHARE DI SDN 19 NAN SABARIS

Learning at the Elementary School level is dominated by information gathering activities to build students' knowledge. The concept of learning is related to constructivist learning theory and requires students to have a high reading interest. Based on interviews with SDN teachers 19 Nan Sabaris revealed the findings that students' reading interest was still low, this was confirmed by the fact that the learning methods that were often used were lectures. The purpose of this study was to see the effect of using the Play-Think-Pair-Share model to increase students' reading interest. This type of research is quasi-experimental, with a sample of fifth grade students at SDN 19 Nan Sabaris in the 2018/2019 school year. The data collection instrument used is the student interest reading assessment sheet, with the data analysis technique chosen is paired sample t-test. Based on the results of data analysis it was found that the sig 2.tailed value was 0.0000 smaller than the value of α = 0.05, so it can be concluded that there were significant differences in reading interest between before and after the use of Play-Think-Pair-Share models in elementary school learning.
Foreign Portfolio Investments and Economic Freedom: Empirical Investigation of the World Countries Grouping Based on the Level of Income

This study investigates the effect of the economic freedom on the foreign portfolio investments in various countries of the World classified based on the level of income. The study used a sample of 184 countries for a period of 2001 to 2017, the full sample is further divided based on the level of income into a subsample of 74 high-income countries, 52 upper-middle-income countries, 32 lower-middle-income countries, and 26 lower income countries. The study estimated panel data regression models and found that a fixed effect is prevailing in all models. The regression results show that economic freedom has a positive effect on foreign portfolio investments. Furthermore, the results of the subsample also shows that economic freedom has a significant positive effect on foreign equity and foreign debts portfolio investments in high income, upper middle income, and lower-middle-income countries, however, there exists an insignificant effect of the economic freedom on the foreign equity and debts portfolio investments in the lower income countries.
The Effect of Simulation-based Integrated Clinical Practice Education on the Flow, Learning presence and Proactivity in problem solving for Nursing Students

Purpose : This study is a one group pre-post designed experimental study, which was conducted to identify the effects of simulation-based integrated clinical practice education on the flow, learning presence and proactivity in problem solving for nursing students. Methods : The study was conducted on 136 students in 4th grade of nursing at C college located in A city for a total of eight weeks from 29th october to 14th december 2018. The data analysis was done with descriptive statistics, ANOVA, t-test. Results : The results of this study show that after simulation-based integrated clinical practice education, nursing students’ learning presence, and proactivity in problem solving had improved, and that there is no significant difference in flow, but flow had increased. Conclusion : It is expected that the flow of nursing students could be enhanced, if various teaching methods were devised and applied through research to identify factors affecting the flow.
SOFTWARE EDUCATIVO GEOGEBRA. PROPUESTA DE ESTRATEGIA METODOLÓGICA PARA MEJORAR EL APRENDIZAJE DE LAS MATEMÁTICAS

The research refers to the introduction of methodological strategies based on the use of Geogebra educational software, shows the results of our research on the types of methodological strategies and how they contribute to the teaching-learning process of the students who entered the first Quarter of the 2019-2020 school period of the Pedagogy Redesign of Experimental Sciences of the ULEAM Extension Chone. This research is considered to be of vital importance because through Geogebra educational software a dynamic and active teaching of mathematics is generated that allows the student to obtain greater mathematical knowledge with the proper use of this tool. The objective is to inquire about the use of educational software in the learning process of mathematics learning. The research is documentary and descriptive, the technique used is a survey of teachers to inquire about the methodological strategies they use in teaching. The proposal called Guide of methodological strategies based on the use of Geogebra educational software to improve the teaching process of mathematics learning. In conclusion, the use of Geogebra educational software improves the learning process of mathematics learningKeywords: Methodological strategies, educational software, Geogebra mathematics.References[1]J. Abreu, Ensenanza frente a un nuevo modelo de educacion. Universidad Catolica de Chile.” Tesis. Chile, 2014.[2]M. Aidipe. “La didactica y los instrumentos infovirtuales. Los Entornos Virtuales De Aprendizaje. Publicacion Calameo. Santiago. Chile.”, Tesis. Chile 2014.[3]Artes Visuales, (2015). El rol de las imagenes en el desarrollo cognoscitivo. [Online]. Available: https://ojs.uv.es/index.php/eari. [Ultimo acceso: 15 de septiembre de 2019][4]A. Berte. “Matematica Dinâmica. A-Z,Bs As”. 1999.[5]R. Duval. “Basic issues for research in mathematics education”. Procedings of the 24th PME international conference. Ciudad: Hiroshima, Japon: PME. Ano 2000, pp. 55-69.[6]L. Korenova. “GeoGebra in teaching of primary school mathematics”. International Journal of Technology in Mathematics Education, 24(3). 155- 160. 2017[7]A. Lopez. La tecnologia educativa didactica. Funcionalidad, ventajas e inconvenientes. Tesis. Argentina. 2016.[8]G. Lucas. (agosto, 2014). Factores que influyen en el aprendizaje de los escolares. [Online] Available: http://www.palabralatina.com/cuales-son-los-factores-que-influyen-en.html. [Ultimo acceso: 15 de septiembre de 2019][9]H. Markus. (Julio, 2001). Resena historica de la creacion de Geogebra. [Online] Available: https://www.geogebra.org/markus+hohenwarter. [Ultimo acceso: 15 de septiembre de 2019][10]B. Parsad, L. Lewis, E. Farris. “Teacher Preparation and Professional Development.” Rev. Search Education Resources. 2001
Forecasting Solar Irradiance with Weather Classification and Chaotic Gravitational Search Algorithm Based Wavelet Kernel Extreme Learning Machine

In this work an improved KELM based forecasting model is being proposed, which attains a specific level of prediction of solar irradiance affecting PV power management. The new method is known as Wavelet KELM. A new optimization technique known as Gravitational Search Algorithm (GSA) is implemented to optimize various parameters of the kernel function. The novelty of this work is that, it focuses on a KELM learning algorithm with parameter optimization for exact solar irradiance forecasting. The exact prediction of irradiance is highly essential for system level stability and future large scale PV installations. The GSA based optimized KELM (GSA-KELM) is implemented for short term solar irradiance forecasting based on various weather conditions.  A hit and trial method was used for the selection of kernel function parameters which affects the forecasting model performance. The optimized kernel structure not only minimizes the arbitrariness of the variables but also makes the process fast by extenuating the choice of parameter on the basis of the user which has to experience the repeated trial method for various kernel functions. Thus OKELM impart more accuracy in prediction within less time and outperforms the basic KELM. In this work, data collected from a photovoltaic power plant in India (the capacity being 1 MW) has been considered for forecasting model validation.
The Perceptions of Students of the Faculty of Economics and Social Sciences at the University Library's Circulation Service Sari Mutiara Indonesia

Background of Study: The rapid development of science and information makes it easy for everyone to access everything that exists. The library is one of the supporting factors in the existing civilization, which is a filter of information to be announced.Purpose: This research was conducted at the Sari Mutiara University Library Indonesia with the aim to find out how the Student Perception of the Faculty of Economics and Social Sciences on circulation services.Method: The method used in this study is descriptive method with the population of this study are members of the library from 2015 to 2018, amounting to 157 people and the sample taken as many as 113 people based on Slovin formula.Finding: The results showed that the perceptions of students of the Faculty of Economics and Social Sciences on circulation services in the library of Sari Mutiara Indonesia University were good (75.2%), but still needed improvement in the provision of up-to-date collections, book lending provisions, suitability of collections with library needs, loan period, time available and number of books that can be borrowed.Conclution: To realize the best service for students, the Sari Mutiara Indonesia University Library is recommended to further improve the quality and quantity of both officers and collections as well as to add supporting facilities for library services so as to attract the interest of visitors to come to visit the library
Two stage registration-based automatic left ventricle myocardium segmentation of cardiac 4DCT images

Cardiac pathologies are generally associated with regional ventricular dysfunction. The left ventricular myocardium (LVM) segmentation is essential to clinical quantification and diagnosis of cardiac images. In this paper, a two stage registration-based segmentation method is proposed to segment the LVM from the cardiac 4DCT. In the first stage, a coarse global registration procedure is implemented in between the first time phase and other phases to spatially map the manually extracted ROI including the LVM in the first time phase to those in other phases. In the second stage, a fine local registration procedure is performed with respect to ROIs in between the first time phase and other phases to spatially map the manually obtained segmentation labels of the LVM in the first time phase to other phases to be segmented. In this way, the whole LVM segmentation results of 4DCT datasets can be obtained by propagating the labels from the 3D dataset in one phase to that in other phases. Experimental results showed that our proposed two stage registration-based segmentation method outperformed the global automatic registration-based segmentation method in effectiveness.
Automation of Paper Setting and Identification of Difficulty Level of Questions and Question Papers

Automation in every domain is today’s need, so in question paper setting also. The proposed system is automation of paper setting and identification of difficulty level of questions and question papers, which uses blooms taxonomy categorization to classify the questions in easy, medium and high categories. By using blooms taxonomy, the difficulty level of question can be identified, which is helpful in generating qualitative question paper. While categorizing questions, system uses natural language pre-processing techniques, which are understood by computer and also uses Latent Dirichlet Allocation algorithm. Based on paper setter’s requirement, paper setting is done; also, if user wants to check difficulty level of any question paper then this is also done by proposed system using NLP. The paper setting using difficulty measure is right benchmark for evaluating student’s efficiency. Automation of paper setting improves the speed, and difficulty level module improves the quality.
A deep convolutional neural network-based low-light image enhancement using illumination map

This paper proposes a deep convolutional neural network-based low-light image enhancement method. In order to adaptively enhance the image brightness, a convolutional neural network with convolutional modules is designed. Lowlight image is firstly down-sampled into sub-images. Then an illumination map is obtained from the input image to provide additional information to the network. The network works on a tensor that consists of sub-images and illumination map, achieving a good performance in brightness increasing and structure preservation. The enhanced result is reconstructed from the output sub-images. Experimental results demonstrate the effectiveness of the proposed method in low-light image enhancement.
Trajectory Planning of Parallel Mechanism for Pouring Robot

Aiming at the problem of singular area in the working space when designing the parallel casting mechanism of the pouring robot, and the sensitivity of the pouring liquid to acceleration of the ladle, we propose a genetic fusion algorithm of particle swarm optimization with angle and distance observers to find the optimal control point.Numerical analysis shows that it is feasible to change the tilting angle of the ladle to make it traverse the singular regions safely.According to the simplified method of single pendulum, the sloshing model of pouring liquid is established, and the segmented acceleration planning method considering the sloshing of pouring liquid is proposed in combination with the characteristics of high-speed cam motion.Numerical and experimental studies show that the segmented acceleration planning method can make the parallel pouring mechanism reach the set position in the shortest time while moving along the planned trajectory, and ensure that the sloshing of pouring liquid is within the safe range.
Developing and Validating a New Version of an EFL Multiple-Choice Reading Comprehension Test Based on Fuzzy Logic

Multiple-choice tests do not assess examinees’ knowledge in accord with reality. In fact, the partial knowledge of examinees is not assessed. Providing a new approach to the assessment of reading comprehension in the framework of fuzzy logic, this study aims to measure this partial knowledge. In this approach, participants have to choose as many correct options as there are considering the stem. Therefore, the correct answer to each question can range from one option to all options. For the first session, an expository and an argumentative genre, and for the second session, the reading section of a TOEFL test was used. The results showed that the approach is fairer as it considers the partial knowledge of the examinees while in other common multiple-choice tests this is ignored. Also, the use of idea units as the units comprising a text gives us clues regarding the degree of difficulty of different parts of a text as well as clues about why misunderstanding may occur of the same text among different people.
CALCULATIONS OF EXCESS LOAD ON THE NETWORK

The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases. The inclusion of News of NAS RK. Series of geology and technical sciences in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential content of geology and engineering sciences to our community.Қазақстан Республикасы Ұлттық ғылым академиясы "ҚР ҰҒА Хабарлары.Геология және техникалық ғылымдар сериясы" ғылыми журналының