Reviewerly/exHarmony huggingface dataset:
Classifying Rotationally-Closed Languages Having Greedy Universal Cycles

Let $\textbf{T}(n,k)$ be the set of strings of length $n$ over the alphabet $\Sigma=\{1,2,\ldots,k\}$. A universal cycle for $\textbf{T}(n,k)$ can be constructed using a greedy algorithm: start with the string $k^n$, and continually append the least symbol possible without repeating a substring of length $n$. This construction also creates universal cycles for some subsets $\textbf{S}\subseteq\textbf{T}(n,k)$; we will classify all such subsets that are closed under rotations.
Hybrid Feature Learning Using Autoencoders for Early Prediction of Sepsis

The early prediction of sepsis is important for ICU patients, as the risk of mortality increases as the disease is left untreated. We hypothesize that there is a need to learn important feature representations, such as to extract salient information from sepsis data. In this paper, we propose an unsupervised method to learn spatial-temporal information from the data, through the use of two autoencoders. For the official 2019 PhysioNet Challenge, our team, Kent Ridge AI (ranked 77th), obtained a utility score of-0.164 on the full test set. Additionally, we report crossvalidation results and identify several issues which can potentially help to improve performance.
Chaos Based Image Encryption Scheme Using One Dimensional Exponential Logistic Map

The widespread use of images in various sectors of life makes its protection increasingly necessary and important. An improvement over encryption and decryption algorithm using exponential logistic chaotic map was proposed. In this work, we adopt an encryption/decryption strategy for colour images using the exponential logistic chaotic map. The proposed encryption/decryption algorithms are implemented in MATLAB for computer simulation. The experimental results indicate that the proposed algorithms can be used successfully to encrypt/decrypt images with secret keys. The performance analysis using histogram uniformity analysis and correlation coefficient show that the algorithms give larger space, quick speed and easy to realize. The encrypted images have good encryption effect and low correlation coefficient rendering it a good candidate for confidential and secure means of transmitting image information in untrusted networks.
The Feasibility and Effectiveness of Android-based Augmented Reality Learning Media on Mechanical Wave Material

Learning media that are commonly used in schools are still conventional so they have several weaknesses in the transfer of learning information.Augmented Reality (AR) can be used as alternative learning media.This study aims to determine the level of feasibility and effectiveness of mechanical wave AR media in learning.The research method used is the type of Jan van den Akker development research, which has steps such as preliminary research, prototyping stage, summative evaluation, and systematic reflection and documentation.The sample was selected using a purposive sampling technique.Mechanical wave AR media was declared very feasible by learning media experts, learning design experts, and material experts with an average value of 91.7%, as well as assessment by students of 88%.The effectiveness of the media is shown by the average completeness of student learning outcomes by 70% and is very effective based on the physics teacher's assessment of 94%.
Team leading challenges in software development projects

Scrum and agile approach in software development eases the way teams are handled and managed.With the right application of this approach into software development projects, Scrum can influence team cohesion, improved efficiency and better control of the final product.Thus, team management in the phase of integration of Scrum values and modifying its "rules" is very important and can have a massive implication on results.Although all standard approaches in team management are important, key for success with Scrum is a personal relationship between Team Leader and the team itself.Maintaining and building human relations and positive atmosphere between team members can help overcome difficult stages in the project.Right motivation and sense of togetherness can, in some circumstances compensate for mistakes in planning or execution.Key in building this circle is Team leader, who needs to guide team through conflicts and team evolution.
State History and State Fragility: Evidence from Sub-Saharan Africa

This paper examines the association between the length of experience with statehood, or state history, on the likelihood of state fragility. The argument is that the accumulation of knowledge by state personnel, and the build up of experience within state institutions, allows the state to avoid the exposure to recurrent crises, which is considered a symptom of weakness. The paper focuses on sub-Saharan African countries and uses Probit estimation techniques. The analysis shows that statehistory has a negative and statistically significant effect on the state fragility index. This result isrobust after the inclusion of a variety of economic, political, institutional and historical variables. Wealso use extreme fragility as our dependent variable. The Probit and Relogit estimations also show astatistically significant negative effect of state history on extreme fragility. This is the case even afterthe inclusion of control variables
Gran Sasso videogame: la fisica e il gioco nei laboratori sotterranei del Gran Sasso

Gran Sasso is a videogame set in Italy’s Gran Sasso National Laboratories, the largest underground laboratories in the world. The protagonist is Zot, an alien who is catapulted by mistake into the laboratories, and who can only return home after helping the scientists working there to restore four experiments. The game, featuring pixel art design, is accompanied by educational materials and in-depth reports that tell the story of physics frontiers: neutrino physics, dark matter and nuclear astrophysics. A preliminary version of the game has been tested by students and presented to teachers to obtain feedback for improvement. Presently, a new version is being completed with a view to conducting more extensive experimentation.
Home Care Logistics: A Monitoring System with a Communication Unit for the Elderly

Humans are growing older which presents challenges for the health care system. One solution for allowing individuals to continue living in their home, despite age related dif- ficulties, is a senso ...
An initial study of feature extraction’s methods in facial expression recognition

Facial Expression Recognition is a sub-branch of Affective Computing that specializes in extracting human emotions and facial features from visual input (images and videos) and tagging them to specific emotion hierarchies. The difficulty of this task lies not only in the subjectivity of distinguishing between human emotional states but, also in the diversity of the human race and culture that influences how we humans perceive sentiments. This article aims to tackle this challenge through two distinct methods of image processing, meaning automatic, Artificial Intelligence (AI) driven feature extraction and manual feature extraction through classical approaches and compare the performance of each of them afterwards. Our conclusion is, that both methods yield noteworthy results, and each specializes in a different context.
Career Development of Educational Personnel: Exploratory and Confirmatory Factor Analysis

This study aimed to examine the validity of the instrument to determine the structure and explore factors in the variable indicators of career development.This is a survey design research.Statistical analysis was applied to explore the factor structure of Career Development for Educational Personnel at Jambi University.Using cluster random sampling, the respondents involved were 164 Education Personnel in Jambi University.The stages of this study aimed to examine the validity of the instrument with quantitative data analyzed using exploratory factor analysis (EFA) to determine the structure and explore factors in the variable indicators of Career Development.Confirmatory factor analysis (CFA) was carried out to verify the factorial validity of career development.The CFA can provide further evidence of the suitability of the suggested model by considering the structure of the factors identified through EFA.The findings of this research concluded that there are four factors in the structure of the career development of personnel education personnel at Jambi University.This finding suggests the importance of validating and confirming the structure of career development of education personnel towards translating constructs into different languages.
A STUDENT-CENTERED EDUCATIONAL APPROACH SCIENTIFIC REASONING AND EMPIRICAL STUDY AT THE UKRAINIAN UNIVERSITIES

The present paper covers the student-centered educational approach principles and presents an empirical study held for student teachers at Vinnytsia State Pedagogic University, aiming to promote teaching and learning processes based on a student-centered approach.The article suggests the main principles of student-centered educational approaches which imply the fact of students and teachers relationship being grounded in mutual respect and reflexion about teaching and learning process.University teachers focus on students' learning and seek for active and deep learning, and, therefore, students' responsibility, accountability and autonomy.Student-centered approaches stimulate study, thinking and practice abilities because instead of being passive in the classroom, imitating teachers' explanations and demonstrations, they are active in the learning process, developing independent thinking and self-regulated study.Self-and co-regulation skills are really important for students to be able to manage their time and effort focused on studies, thus increasing involvement.Universities should promote learning environments where students are active in their learning processes, producing their own knowledge instead of just repeating what teachers say.The findings of this study identify that the student-centered approach to teaching encourages students" engagement in teaching-learning activities focusing on individual interaction to achieve common objectives.However, inadequate resources, lack of expertise on the part of teachers were the challenges to the teaching learning activities.
Analysis of Student Financial Aid Based on Big Data Analysis

Since the reform and opening up, China’s financial aid for poor students has gone through three different stages of development, and each stage has its own characteristics. In order to effectively carry out the aid work for poor students, it is necessary to analyze and evaluate the effect of the aid, so as to achieve better aid effect. The ultimate starting point of student aid is to prevent any student from going to school because of poverty. However, in the actual funding work, there are many problems, such as difficulty in identifying funding, ineffective funding, and confusion in the implementation and management of funding. In order to solve this problem, this paper proposes a method based on big data analysis to analyze the effect of student aid. Through the analysis and guidance of this method, we can make better use of the state’s financial aid, so that students who really need financial assistance can get effective help and help them complete their studies smoothly.
POLA HUBUNGAN RELASIONAL PADA PASANGAN SEJENIS: (SEBUAH PENELITIAN EMPIRIS DENGAN PERSPEKTIF TEORI DIALEKTIKA RELASIONAL)

This paper try to describe about the system of relational connection in the guy couple.This connection analyzed by it's theory to get a conclusion.Actually, in the relational connection, there are the dialectic of centriphetal and centrifugal in which centriphetal energy pull inside to the center of connection.It's diffirent from centrifugal energy that pull outside from the center of connection.Both of that energy dominate connection one to the other.Because of that, the principle duty of each couple is harmonize both of the diffirent energy for balance, but not make disappear centrifugal energy.Certainly, destructive energy of centrifugal is not avoided.That energy is not be passed away, but it's has to be compromised and communicated well, so it's relation can be composed powerfully.
Research on the Teaching of Computer Network Course under the Background of Emerging Engineering Education

Under the background of emerging engineering education, aiming at the problems existing in the traditional teaching of computer network course, combined with the teaching reform and practice of computer network course in University of Jinan, this paper studies the teaching of computer network course from the classroom teaching, assignment, practice, course assessment, course resources, etc. The research has promoted the teaching effectiveness of the course. It has certain reference significance for the teaching of other principle courses.
Easily embedd images in newsletters with the help of The Easy Photo 2 Data URI Lite/Pro 1.42

See the photo-gallery to find examples of converting photos with The Easy Photo 2 Data URI Lite/Pro 1.42.
Image Denoising Using Eigenvectors of Graph Laplacian with Low-Rank Approximation

Recently, a method based on eigenvectors of graph Laplacian (EGL) is proposed for image denoising. However, the EGL employs a complex measure based on the Euclidean distance to describe the similarity between patch pair, which has limitation to some degree in high-level noise. In this paper, we proposed an image denoising algorithm using eigenvectors of graph Laplacian with distance estimation via low-rank approximation (LR-EGL) to make up for this defect. In detail, with probability distribution of distance as prior knowledge, low-rank approximation is employed to estimate the distance between similar patches in underlying clean image. Then, the estimated distance is fused into EGL algorithm to construct graph Laplacian matrix and generate reliable eigenvectors to denoising. Experiments demonstrate that our algorithm outperforms EGL and is comparable with well-developed methods, especially with high-level noise.
The Collation and Dissemination of Jilin Folktale Data Based on the Network Resource Mining

The structures of Jilin folktales are diversified. The typical structures of the folktale are: the single line, progressive, chain and compound. It not only conveys the northeast people’s attention to the vividness, touching, novelty, and ingenious ups and downs of the stories, but also contains people’s aesthetic pursuit of the rhythms of the stories, includes grasping and using the story program flexibly. By giving full play to the technical advantages of the network resource mining, Jilin folk stories have the new breakthrough in the form of the data sorting and dissemination, presenting to the public in a more modern and international form, and better serving the society.
Digital Initiatives at Dhaka University Library

University of Dhaka is the largest and the oldest public university in Bangladesh. The university has more than forty-two thousand students and over two thousand academic staff. The university library 1 is the heart of the academic activities on campus serving a big number of students, teachers and researchers. The university library holds about 0.6 million copies of books and about 30 thousand of rare manuscripts, microfilms, microfiche and other records of historical importance. It is the largest library in the country. The library maintains an institutional repository and online archives of digitized contents for the university community and others. The goal of such initiatives is to increase the visibility, use and impact of the university's research publications by offering them to use through the university's own digital archival system. The repository consists of full-text materials produced in the university such as theses, internship reports, journal articles, conference proceedings and research materials produced by all the departments, Institutes, research centers and units of the university. DSpace is used for this repository services.  Since June 2012, the repository has been archiving research articles and most importantly all these research publications are of open access allowing university community to have free access to them. Its unique feature is that academic and researchers can also archive their research and other publications in this repository platform. Since this is an open access platform for the university community who can easily get information and relevant research articles from this platform, it is particularly popular among new and young scholars. Additionally, the university library preserves its own digitized newspapers, manuscripts and rare materials in a recently created archival system. This is the first of its kind initiative which has an outstanding impact on access and use of digitized resources in Bangladesh. This poster provides an overview of Dhaka University Library’s institutional repository and archival services currently available. It will also highlight future plans and programs for better library management and services besides increasing access to archival contents for the university community.
The Relationship between Teaching Efficacy and Job Satisfaction of Special School Teachers after In-Service Training: Analysis of the Mediating Effect of Organizational Commitment

To investigate teaching efficacy of the special education teachers by training, and explore the relationship among organizational commitment, job satisfaction and teaching effectiveness, this research makes a survey of 616 teachers from 37 special schools in Sichuan Province.Results found that special schools attach greater importance to teacher training.In-service training of teachers has significant influence to teacher efficacy.Affective commitment and normative commitment are mediators between the personal teaching efficacy and job satisfaction, and they are partially mediated by the general teaching efficacy and job satisfaction.
Structural and Typological Features of the Axiological Aspect of Modern Students’ Representation about Success

Currently, one of the leading orientations for determining the quality of life in many young minds is achieving success. The focus on success is the basis of achievement motivation, which activity is a psychological factor for economic growth, and this fact determines its high social significance. Psychologically competent provision of conditions for the productive implementation of pursuit for success implies understanding of its axiological aspect. A study of structural and typological features of the axiological aspect of modern students’ representation about success has been conducted. Respondents are 591 students of Krasnoyarsk universities. Methodology by S.A. Pakulina “Students’ Motivation to Achieve Success in University” has been applied. Data processing included descriptive statistics, correlation, factor and cluster analysis, as well as identification of significant differences. According to the study results, students’ representation of success is based on a wide range of values. At the same time, the values of interiorized (internally represented) success are of great importance for both humanitarian and technical students. The significance levels of various value aspects of success are interconnected in a positive way. The overall level of success values’ significance is determined by the cumulative effect of subjective and personal values, as well as values of social importance. In accordance with this, the strategy of developing psychological tools to help students in the productive implementation of the pursuit for success, should include formation of social interest, development of individual strategies for the implementation of social utility and skills for obtaining positive feedback in the process of achieving goals
Source of Mineralization Material of Xiaochigou Gold Deposit in Western Henan: Sulfur and Lead Isotope Geochemistry

Xiaochigou Gold Deposit is located in the middle of Xiongershan metamorphic core complex in Qinling orogenic belt.Based on the analysis of sulfur and lead isotopes in altered rock type ores formed in the main metallogenic stage of the deposit, it is found that the δ 34 S of sulfur isotope of the deposit is between-3.05%and 10.93%, mostly remaining within the range of meteorite sulfur, indicating that the sulfur mainly comes from the mantle with the addition of crustal sulfur, which reflects the sulfur isotopic composition of mantle sulfur after being mixed with crustal materials.The lead isotope 206 Pb/ 204 Pb value is 17.09-17.53, 207Pb/ 204 Pb value is 15.31-15.61,and 208 Pb/ 204 Pb value is 37.20-38.10.The variation range is not wide, belonging to normal lead range.Lead isotopic characteristic parameters and related diagrams show that the lead in ores has crust-mantle mixing characteristics.The sulfur and lead isotope compositions show that the ore-forming materials of the deposit are mainly mantle-derived materials, and the deep mantle-derived materials are mixed with crust-derived materials.
Growth of the Program for Cooperative Cataloging in Canada

Canadian participation in the Program for Cooperative Cataloging began in 1998 when Memorial University of Newfoundland joined NACO to counter the lack of locally relevant authority data. Different circumstances operated for each of the early adopters. McGill University joined SACO first, in 1999, and NACO only in 2009. Concordia University joined NACO in 2011. Other libraries joined forces through the Canada Funnel, established in 2005. Since 2015, the number of independent members has grown, and more Canadians have begun participating in the governance and working groups of the PCC. This coincides with increased interest in internationalization within the PCC itself.
Genetic Algorithm: an Optimization Tool for Real World Problems

Abstract The main goal of this research work is to give the lesson on genetic algorithm with the help of evaluation concept of our environment. Genetic algorithm is a type of optimization algorithm, means it is used to find the optimal solution to a given computational problem that maximizes or minimizes a function. Genetic algorithms represent a branch of the field of study called evolutionary computation, in which they imitate the biological processes of reproduction and natural selection to solve for the ‘fittest’ solutions. Keywords: Environment optimization, electric power system, GA, MATLAB, mutation Cite this Article Tanisha Pandey, Mugdha Mishra. Genetic Algorithm: an Optimization Tool for Real World Problems. Journal of Energy, Environment & Carbon Credits. 2019; 9(3): 17–21p.
"THE PROBLEMS OF THE APPLIED TASKS ON PHYSICS IN GYMNASIUM"

The problem of solving applied problems in the gymnasium teaching cycle is studied by the example of studying electric current in liquids and M. Faraday's laws. Applied tasks are one of the most effective ways to increase the motivation of students to study and understand physical phenomena and laws. Solving applied problems contributes to the development of skills that will further help the student better adapt to real life.Key words: applied tasks, increasing interest, motivation, experimental skills, Faraday laws.