Reviewerly/exHarmony huggingface dataset:
Effect of combination of 2D/3D registration and 3D position estimation of endovascular device on accuracy

A X-ray image (2D) are used during surgery for endovascular treatment. It is difficult for the operator to estimate the 3D position of the treatment device such as a guide wire from the 2D X-ray image. We have proposed a method to estimate the 3D position of the device from a single X-ray image. The method combines 2D/3D registration and 3D position estimation. The purpose of this research is to estimate the error due to this combination and to validate the effectiveness of the proposed method. The 2D/3D registration and 3D position estimation methods were each performed in two ways. It was found that when the position and orientation of the 2D/3D registered vessel model differed by 2.3 mm and 9.4 degrees, the estimated arc length and radius differed by 0.4 to 0.6 mm. And it was found that the difference in 2D/3D registration had a larger effect on the accuracy of the estimated position than the difference in estimation methods.
Cross-Cultural Language and Communication as Means of Creating Tolerance

The foundation of qualitative enquiry is language and communication. Language is a fundamental instrument by which qualitative researchers attempt to understand human behavior, social processes, and the cultural meanings that are part of human behavior. Russia is a multinational, multi-confessional and multicultural country, and in this connection, the problem of educating the younger generation in the spirit of tolerance at the present stage is especially relevant. These circumstances have led to the inclusion of the term “tolerance” in the thesaurus of social and pedagogical sciences in recent years. The purpose of this article is to consider the main approaches to the interpretation of this concept, as well as to identify favourable conditions and ways of creating cross-cultural tolerance in modern society and in educational institutions in particular. The research is based on the analysis made on the current situation of cross-cultural communication in Russia and Tatarstan in particular.
Kalman's filtering technique in structural equation modeling

"Structural equation modeling finds linear relations between exogenous and endogenous latent and observable random vectors. In this paper, the model equations are considered as a linear dynamical system to which the celebrated R.~E.~K\'alm\'an's filtering technique is applicable. An artificial intelligence is developed, where the partial least squares algorithm of H.~Wold and the block Cholesky decomposition of H.~Kiiveri et al. are combined to estimate the parameter matrices from a training sample. Then the filtering technique introduced is capable to predict the latent variable case values along with the prediction error covariance matrices in the test sample. The recursion goes from case to case along the test sample, without having to re-estimate the parameter matrices. The algorithm is illustrated on real life sociological data."
Estimating Collaboration through Variation in Time Series from Members in Group Works

In successful group works, members engage in monitoring where they guess what other members are thinking. Since monitoring promotes self-regulated learning, many teachers try to introduce group works.&#x0D; This paper proposes a method to inform teachers on the fly of the monitoring status of students in group works using inexpensive and less invasive sensors. In the field of education, the method enables a teacher who supervises many student groups to direct their group works to successful ones.&#x0D; The method collects accelerations of multiple body parts and pulse waves from each member using sensors. The method uses the singular spectral transformation (SST) to detect the relative changes of each signal in the course of time. When a significant change takes place, it is considered the members get arousal. The method considers group members engage in monitoring when significant changes appear simultaneously among them.&#x0D; In an experiment to detect successful discussion to integrate ideas from the members into one feasible solution, we have obtained the accuracy of over 0.7. It indicates that the simultaneity of significant changes detected by SST is effective to estimate the monitoring state. In the experiment result, acceleration often worked better than pulse wave signals. It was also found that each member has a different role in the group. The behavior of each member varies with the role of the member. These results show that the method has potential to estimate the monitoring state. They also imply examination of the acceleration of each body parts would enable us to estimate the role of the members. The method allows one teacher to lead many groups to successful group works.
Industrial Control Systems: The Biggest Cyber Threat

Christos P Beretas* Author Affiliations PhD Candidate (full scholarship) in Cyber Security at Innovative Knowledge Institute, Paris, France Received: October 21, 2020| Published: November 06, 2020 Corresponding author:Christos P Beretas. PhD Candidate (full scholarship) in Cyber Security at Innovative Knowledge Institute, Paris, France DOI: 10.26717/BJSTR.2020.31.005143
The Effect of Knowledge-Based Integration on Financial Performance of Conglomerate Firm in Nigeria

The innovative knowledge in Nigeria is declining as evidenced by various reports. The study therefore examines the effect of knowledge-based integration in firm performance in conglomerate firms listed in Nigeria. The data were collected from management staff through five-point likert-scale questionnaire adopted from previous researches. Multiple regression technique was used as the technique of data analysis. It was found that the three-knowledge integration innovative constructs (internal knowledge integration, knowledge integration with customers and knowledge integration with suppliers) were strongly interconnected, given that a case for knowledge-based integration of firms with their trading partners. Further, these three variables jointly explained the construct (firm performance) level. These associations provide support for theeffectiveness of knowledge-base integration as an important yardstick in improving firm performance level. Managers of conglomerate firms in Nigeria are advice to use these findings as a way to promote the level of their firmperformance.
Digital Divide in the Learning Process of Physics during Covid – 19 pandemic : A Case Study in two Educational Institutions in the City of Cuenca

In March 2020, a quarantine measure was declared in Ecuador to counteract the spread of Covid-19.Therefore, the educational systems had to activate contingency plans to continue with the teaching-learning process by using resources that foster an adequate education during the confinement at home.The purpose of this article is to determine how the access to technological resources can affect the learning of Physics.The participants were students of the last two levels of secondary education of "Hermano Miguel de la Salle" and "San Francisco" High Schools.The obtained results have allowed to establish that there is a technological gap in terms of access to digital educational resources between students in a public and a private school.Learning by discovery must be used to study science; however, due to the current confinement situations, this learning technique has not been possible.Hence, there was a need to investigate how students are acquiring their knowledge of Physics.
A Survey on Abstractive Summarization Models using Machine Learning and Deep Learning Techniques

Abstractive Summarization models has gained popularity in past few years especially Sequential Models with attention. With the rise in data summarizing data is of utmost importance. Various techniques are provided in this paper for the given task and generate summaries. Encoder and decoder units are explained in proper manner along with special additions to enhance the performance of the model. The utilization of profound learning structures in characteristic language preparation entered another time after the presence of the succession to arrangement models in the ongoing decade. These models square measure primarily supported on a handful of repeated neural networks that connect the input and associated output information in an encoder decoder design. Better outcomes were conceivable by adding the Attention Mechanism to the RNN layers. The Transformer based model outperformed past best in class models in interpretation errands.
Subject Guides: English 1121: MLA CITATIONS

Research basics for students writing about literature, current social issues, or discourse communities.
PERANCANGAN SISTEM SERTIFIKASI PROFESI JAMINAN MUTU DAN KEAMANAN PANGAN

Information technology has developed rapidly, so that it can help no one knows who needs technology. Likewise, theprofessional certification body Quality Assurance and Food Safety (LSP JMKP). With the average number ofcertification registrants in the field of quality assurance and food safety reaching an average of 10,000 participants peryear, without a computerized support system, it feels good for the LSP to carry out daily operations. It is felt that theneed for the system must be realized immediately. As one form of concern for the people who need it, as permanentmanagement or based at the Faculty of Computer Science, Esa Unggul University, we have assisted in developing acertification system in the field of Procurement Suppliers and Food Safety. Description is a system design documentthat is ready to be translated into programming languages by programmers. To be more convincing of the real needs indeveloping a professional certification system in the field of quality assurance and food safety, we have also made aprototype system. The prototype is expected to be further developed so that it can become a whole system that can beused in day-to-day operations at LSP JMKP.
THE USE OF BOARD RACE GAME IN IMPROVING STUDENTS' VOCABULARY MASTERY AT SECOND GRADE OF TSANAWIYAH BABUL KHAER BULUKUMBA

Vocabulary is the heart of a language because it involves the basic building of English sentences. Without a meaningful vocabulary, the four basic skills of language namely speaking, listening, reading, and writing would never be complete. As vocabulary is the principal issue for English learning, this current research was conducted to see the effectiveness of the Board Race Game to improve the students’ mastery of vocabulary. The research was conducted in Tsanawiyah Babul Khaer, Bulukumba. There were 30 students of the second grade in the academic year 2018/2019 who participated in this study which was selected through purposive sampling. In collecting the data, the researchers used the pre and post design of the experimental group. The researchers analyzed the average score of each test to find out the increase in students’ vocabulary mastery after the action was conducted. After the researchers have treated the game in four meetings, the students’ vocabulary mastery has increased significantly. It could be seen from the score of pre-test was 30,46 and the posttest was 78,2 where the gain of both tests was 47,73. After applying the action, the researchers were able to solve the problem in increasing students’ vocabulary mastery. Thus, because of this kinesthetic game was successfully to create a fun atmosphere in the teaching and learning process and increase the students’ mastery of vocabulary, it is suggested to use board race game as the alternative media in teaching English.
Delegatable proof of knowledge systems

In this paper, we propose the concept of delegatable proofs of knowledge (DPoK). A delegatable proof of knowledge enables a prover to delegate its proving work to another party instead of doing that itself. If the prover delegates the work to any party, the delegated party can prove the prover’s statement to the verifier, however, it cannot compute the prover’s secret. We present the concrete example of DPoK proven secure in the standard model.
Web Programming Learning Application using CodeIgniter

Website applications that can be done using a framework such as a CMS (Content Management System) as a solution to provide solutions in web management. One of the software that is currently popular in building this CMS is CodeIgniter
Design and manufacturing themes in the early special research of mechanical engineering at Kansai University

Kansai University conducts an "Early Special Research" elective subject for the fall semester for third year mechanical engineering students who have earned credits. It is common to carry out graduation research in advance under the name "early", but in this laboratory, Design and manufacturing themes are offered to the students who are interested in design and manufacturing by himself. The students learn the kinetic principle of phenomena, design, manufacture model devices, and operate the devices to measure their performance. In this paper, five research themes, i.e. 2 DOF forced vibration, unbalanced vibration of rotating machine, one DOF vibration on running belt, inverted pendulum, and bending and torsion flutter of wing are discussed.
Underwater image enhancement by method combined the tail-gating and active polarization imaging technology

Underwater imaging always suffers strong absorption and scattering of water, leading to unsatisfactory imaging quality. Among these factors, scattering is considered as the main factor that makes underwater imaging fuzzy. Various methods have been introduced to eliminate the influence of scattering, and play a positive role in image enhancement, such as rangegated imaging, active polarization imaging and synchronous scanning technology. However, these methods appear limited effects in a higher level of turbidity conditions as it is generally believed that the multiple scattering photons are ascendant in a higher level of turbidity. In this paper, a new underwater image enhancing method was proposed. This method combined the tail-gating technology and the active polarization imaging technology. A range-gated imaging system was upgraded for verifying the novel method by adding polarizer in the light source unit and polarization analyzer in the light collecting unit. Experiments were conducted in a water tank size of 3m×0.6m×0.6m (L × W × H) that filled with running water is to simulate sea water condition in laboratory condition. The turbidly of sea water condition was simulated by adding Magnesium Hydroxide as scattered particles. Several groups of experiments under different range-gate setting and polarization strategy were conducted for comparison. The enhancement of the underwater imaging resolution was evaluated by computing the MTF (Modulation Transfer Function) values. The results said that the method combined the tail-gating and active polarization technology was capable of improving the imaging resolution in turbid underwater environment.
Mobile learning in medical education and effective factors on the technology acceptance : hybrid study

Mobile learning in medical education and effective factors on the technology acceptance : hybrid study
Multidimension Tensor Factorization Collaborative Filtering Recommendation

A recommended system (RS) seeks to predict the preference that a user would give to a product in use, provides personalized information for the identification of articles, generating suggestions that are beneficial and agile for the search of the required items or activities. The user can accept the recommendations by providing information that is stored in a database, and generates new suggestions. These systems are used in the most prominent platforms such as websites and social networks. These information filtering techniques focus on the main properties and characteristics of items and users. This paper presents an analysis of the recommended systems and the components involved in the development of their functions. It shows an individual approach to filtering techniques, classification of RSs, possible combinations of filtering techniques and finally the conclusions are obtained in the analysis of the Recommended Systems.
URJC Promotes a better understanding of Citizen Science during Madrid Science and Innovation Week

CS Track partner URJC led a virtual session on 5 November as part of the XX edition of the Madrid Science and Innovation Week. The idea behind this ...
A Closed-Form Solution for Estimating the Accuracy of Circular Feature’ Pose for Object 2D-3D Pose Estimation System

Many objects in the real world have circular feature. In general, circular feature’s pose is represented by 5-DoF (degree of freedom) vector <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>ξ</mi> <mo>=</mo> <msup> <mrow> <mfenced open="(" close=")" separators="|"> <mrow> <mi mathvariant="bold">X</mi> <mo>,</mo> <mi mathvariant="bold">Y</mi> <mo>,</mo> <mi mathvariant="bold">Z</mi> <mo>,</mo> <mi>α</mi> <mo>,</mo> <mi>β</mi> </mrow> </mfenced> </mrow> <mrow> <mi mathvariant="bold">T</mi> </mrow> </msup> </math> . It is a difficult task to measure the accuracy of circular feature’s pose in each direction and the correlation between each direction. This paper proposes a closed-form solution for estimating the accuracy of pose transformation of circular feature. The covariance matrix of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>ξ</mi> </math> is used to measure the accuracy of the pose. The relationship between the pose of the circular feature of 3D object and the 2D points is analyzed to yield an implicit function, and then Gauss–Newton theorem is employed to compute the partial derivatives of the function with respect to such point, and after that the covariance matrix is computed from both the 2D points and the extraction error. In addition, the method utilizes the covariance matrix of 5-DoF circular feature’s pose variables to optimize the pose estimator. Based on pose covariance, minimize the mean square error (Min-MSE) metric is introduced to guide good 2D imaging point selection, and the total amount of noise introduced into the pose estimator can be reduced. This work provides an accuracy method for object 2D-3D pose estimation using circular feature. At last, the effectiveness of the method for estimating the accuracy is validated based on both random data sets and synthetic images. Various synthetic image sequences are illustrated to show the performance and advantages of the proposed pose optimization method for estimating circular feature’s pose.
Edward’s syndrome: A clinical approach

Edward's syndrome, also known as Trisomy 18, is a rare but serious condition.It affects how long a baby may survive.Sadly, most babies with Edward's syndrome die before or shortly after being born.A small number (about 13 in 100) babies born alive with Edward's syndrome live past their 1 st birthday and these children often have severe intellectual disability [1] .This article presents a case report of newborn baby with Edward's Syndrome.
ANALISIS SURVEY KEPUASAN MAHASISWA TERHADAP PERPUSTAKAAN X DENGAN PENGGUNAAN METODE TRIZ

The library is a place where students get books to read, look for assignments, find references, and so on. Now, students have switched to electronic media that are easy to find by students and make the library empty of visitors. Then a survey was made for students about the library. This survey is associated with ISO 11620: 2008 so that the survey knows the performance of the library. Then the survey was obtained using the servqual method to determine the results of the gap value. After that, to find out which solutions should be improved by using the TRIZ method. The results will be known from the TRIZ method.
Frame-To-Frame Consistent Semantic Segmentation

In this work, we aim for temporally consistent semantic segmentation throughout frames in a video. Many semantic segmentation algorithms process images individually which leads to an inconsistent scene interpretation due to illumination changes, occlusions and other variations over time. To achieve a temporally consistent prediction, we train a convolutional neural network (CNN) which propagates features through consecutive frames in a video using a convolutional long short term memory (ConvLSTM) cell. Besides the temporal feature propagation, we penalize inconsistencies in our loss function. We show in our experiments that the performance improves when utilizing video information compared to single frame prediction. The mean intersection over union (mIoU) metric on the Cityscapes validation set increases from 45.2 % for the single frames to 57.9 % for video data after implementing the ConvLSTM to propagate features trough time on the ESPNet. Most importantly, inconsistency decreases from 4.5 % to 1.3 % which is a reduction by 71.1 %. Our results indicate that the added temporal information produces a frame-to-frame consistent and more accurate image understanding compared to single frame processing. Code and videos are available at this https URL
Updating The Subject Literacy of the Teacher as A Necessity for Improving His Professional Competence

The article shows the need to update the subject literacy of a teacher to improve his professional competence. The concept of subject literacy, its role and place in improving the professional competence of both a teacher and improving the quality of teaching schoolchildren are revealed.
CONTEMPORARY DATA SCIENCE FOR FINANCE STUDENTS. ESSENTIAL FEATURES OF COMMONLY USED STATISTICAL SOFTWARE - A COMPARATIVE STUDY

This paper inventories some of the essential traits of the software preferred by researchers, students and professors, such as R or RStudio, or Matlab and also their possible utilizations. In order to fill the gap in the Romanian literature and help finance students in choosing proper tools according to the research purpose, this comparative study aims at bringing a fresh, useful perspective in the relevant literature. In Romania, the use of R was the focus of several international conferences on official statistics held in Bucharest, and others having business excellence, innovation and sustainability as purpose. In this time, at global scale, R and Python programming languages are considered the lingua franca of data science, as common statistical software used both in corporations and academia. In this paper, I analyze basic features of such software, with the purpose of application in finance.
CONSTRUCTING AND PROMOTING NATIONAL IDENTITY THROUGH TOURISM: A MULTIMODAL DISCOURSE ANALYSIS OF INDONESIAN OFFICIAL TOURISM WEBSITE

This paper aims to examine the contribution of multimodal resources in the Indonesian official tourism website in constructing and promoting the Indonesian national identity. Data were gathered from 7 verbal (linguistic) texts and 13 visual (nonlinguistic) texts presented in the Indonesian official tourism website. This study draws on Wodak et al’s (2009) discursive strategies of national identity construction and Kress and van Leuween’s (2006) theory of visual design. The results of the study show that the combination of verbal and visual texts in the Indonesian official tourism website contribute to the Indonesian national identity construction and promotion. The constructed and promoted Indonesian national identities are 1) Indonesia as a country with the rich natural landscape; 2) Indonesia as an archipelagic tropical country; 3) Indonesia as a maritime country; 4) Indonesia as a technologically advanced country; 5) Indonesia as a modern country; 6) Indonesia as a multicultural country; 7) Indonesia as a country with cultural richness; 8) Indonesians as people who are open to strangers or foreigners; 9) Indonesians as kind and friendly people; and 10) Indonesians as modern people.