Reviewerly/exHarmony huggingface dataset:
EMTL: A Generative Domain Adaptation Approach

We propose an unsupervised domain adaptation approach based on generative models. We show that when the source probability density function can be learned, one-step Expectation–Maximization iteration plus an additional marginal density function constraint will produce a proper mediator probability density function to bridge the gap between the source and target domains. The breakthrough is based on modern generative models (autoregressive mixture density nets) that are competitive to discriminative models on moderate-dimensional classification problems. By decoupling the source density estimation from the adaption steps, we can design a domain adaptation approach where the source data is locked away after being processed only once, opening the door to transfer when data security or privacy concerns impede the use of traditional domain adaptation. We demonstrate that our approach can achieve state-of-the-art performance on synthetic and real data sets, without accessing the source data at the adaptation phase.
Personalized End-to-End Mandarin Speech Synthesis using Small-sized Corpus

Conventionally, voice conversion techniques are based on the source-filter model, which extracts acoustic features and transforms the spectrum distribution from the source speaker to the target. Parallel corpora are usually required to learn the transformation and the alignment of phone units has to be done manually to obtain the optimal conversion. These requirements are hard to achieve in daily use. Therefore, we proposed an end-to-end method for personalized speech synthesis system by combining the ideas to tackle these problems and try to make the data collection task attainable.We integrated the linguistic/acoustic feature extraction of the speech corpus by adopting suitable neural networks. In this way, the traditional linguistic feature extraction module which relies on the expert knowledge to build could be substituted. Then, for the personalized acoustic model, we adopted the variational auto-encoder, which focused on separating the speaker-related properties, such as timbre and speaker identity, from the underlying latent code, which assumed to be related to phoneme identity. Therefore, the requirement of manual alignment and parallel corpus could be overcome. Finally, experimental results showed that the proposed system indeed useful for personalized speech synthesis and provides comparable performance with the conventional system while easier to build.
FORMATION OF CREATIVE ACTIVITY OF JUNIOR SCHOOLCHILDREN AS A PSYCHOLOGICAL AND PEDAGOGICAL PROBLEM

The article is dedicated to the topical issue of modern art pedagogy – the formation of creative activity. Its aim is a psychological and pedagogical analysis of the problem of forming the creative activity of junior students in music lessons and highlighting possible ways to solve it. Based on the analysis of interpretations of the concept of "creative activity" in philosophical, psychological and pedagogical aspects, its generalization is made. It is presented as a personal formation, trait, integrative quality, which is formed in creative activity, realized through cognitive need and interest, manifested in emotional uplift and creative approach to solving problems and acts as a desire for self-realization through the disclosure of its own creative potential. The article emphasizes the significant potential of music education in general and music lessons in particular and reveals ways to form the creative activity of junior students.Emphasis is placed on the importance of involving students in active artistic and creative activities, the need for them to gain musical experience.Pedagogical methods that provide effective formation of creative activity are considered, including a complex method of activating musical and creative activity, method of artistic construction, activation of previous experience, involvement in creative design, problem methods, methods of semantic vision, heuristic or partial search, method of reflection, self-analysis, self-control and self-assessment, method of artistic and pedagogical communication.It is emphasized that the process of formation of creative activity should be based on the principles of reliance on life and artistic experience, stimulation of internal activity, unity of individual and collective influence on students, creative independence, motivation of musical activity, interest and emotional passion for music.
ROMUL: Scale Adaptative Population Based Training

In most pragmatic settings, data augmentation and regularization are essential, and require hyperparameter search. Population based training (PBT) is an effective tool for efficiently finding them as well as schedules over hyperparameters. In this paper, we compare existing PBT algorithms and contribute a new one: ROMUL, for RObust MULtistep search, which adapts its stepsize over the course of training. We report competitive results with standard models on CIFAR (image classification) as well as Penn Tree Bank (language modeling), which both depend on heavy regularization. We also open-source hoptim, a PBT library agnostic to the training framework, which is simple to use, reentrant, and provides good defaults with ROMUL.
Research partnerships that count in sub saharan africa’s research output and impact:

The purpose of this paper is to examine the extent to which selected countries in sub-Saharan Africa benefit from their research collaboration with other countries, with special focus on countries outside Africa. Data was obtained from the Web of Science’s (WoS) citation databases using the country name in a search query CU=Country Name and limiting the search to research articles published between 2000 and 2019. The VOSviewer was used to map the country collaborations in the five sub-Saharan African countries, which were selected for the study, namely Ethiopia, Ghana, Kenya, Nigeria and Tanzania. The findings reveal that the number of collaborating countries has not only increased since 2000 but also that the intensity of collaboration among countries has tremendously grown over time. The USA and England contribute the most to the five countries’ research performances and therefore constitute the core country contributors. The collaborators’ contribution to the five countries is close to being proportional but greatly differs in terms of percentage share across the five countries. The greatest beneficiary of regional (hereinafter used to refer to ‘Africa’ or ‘African’) and international collaboration is Kenya, followed by Nigeria, Ghana, Tanzania and Ethiopia. The collaboration among researchers from different countries is likely to intensify as many governments and funders place more emphasis on research collaboration. Given the current increased interest in university rankings, institutions in sub-Saharan Africa are likely to encourage their researchers to engage in collaborative research that benefits the institutions the greatest.
Impacts of Cloud Computing in India on E-Commerce Businesses

Cloud computing is one of the newest developments in the area of information technology. Cloud computing has developed in recent years from a theoretical term into practical implementations in various industries, such as Healthcare and telecommunications. In order to manage customer data and software, Cloud Computing uses the Internet and remote servers. It offers consumers and companies permission to use software without download to access their personal accounts, data and information with the aid of the internet in every corner of the globe. There are numerous types of software programs operating in cloud computing environments. One of the main cloud computing offerings is e-Commerce. In small and medium-sized businesses, e-commerce needs better facilities to accommodate them. In this study, we examined how cloud computing influences e-commerce businesses. Except that, in the cloud computing era, it studied the driving factors that contributed to improvements in e-commerce. In this article, the cloud computing-based e-commerce application model manages the issue of e-commerce and resource scarcity by developing the cloud computing-based e-commerce application paradigm and how cloud computing affects e-commerce services and applications.
Assessing ICT literacy among paraprofessional librarians for service delivery at Abdullahi Fodiyo Library, Usmanu Danfodiyo University, Sokoto

This article assessed the ICT literacy among Para-professional librarians at Abdullahi Fodiyo Library Complex for effective service delivery. Objectives of the paper include, to establish the source of ICT literacy skills, assess the types of ICT facilities used and to examine the type of services provided by Para-professionals librarians. This study adopted descriptive survey design and the population of the study was the entire one hundred and twenty-six (126) Para-professional librarians in Abdullahi Fodiyo Library complex. Questionnaire was used as the instrument for data collection and data collected were then converted into simple percentages and means scores and presented in tabular form for clarity. Descriptive method was used to analyzed data collected. The findings revealed that majority of the Para-professional librarians acquired ICT literacy through self study, while only few Para-professional librarians indicated that they acquired their ICT skills through workshops and seminars. The findings of the study also showed that majority of the respondents provide internet services in the library, while minority of the respondent provide circulation services. Higher percentage of the Para-professional librarians indicated lack of interest as the major challenge militating against ICT literacy in the library. In order to improve ICT literacy skills for Para-professional librarians, the article recommended that there is the need to provide adequate access to ICT facilities such as laptops, digitals cameras, printers, projectors, photocopiers among others with view to improve competencies of para-professional librarians in providing effective services.
Ανάπτυξη διεπαφής χειρισμού ρομποτικού οχήματος με ενσωματωμένο βραχίονα

This diploma thesis analyses the development of an interface for the operation of a robotic vehicle reinforced with a robotic arm. The basic functions of both the Summit XL robotic vehicle and the OUR-1 robotic arm in the rviz and gazebo simulators are described. Initially, a literature review on the science of robotics and the fields involved is cited. On the one hand, the various categories of robots are presented and on the other hand, their application in everyday human life is explained. Reference is made to human-robot interaction (HRI) implements as well as to the fundamental security issue that arises through this collaboration. Following is a description of the technical and mechanical characteristics of the above robotic vehicle and the arm as well as a literature review of their architecture, Robot Operating System (ROS) accompanied with a presentation of its individual components and how they work. Furthermore, reference is made to the simulators to be used, the significant benefits they provide and the useful libraries whose combination leads to complex robotic behaviors. The process ofcreating the workspace and installing the necessary packages for the successful movement of OUR-1 in the simulators follows, a process which is explained in detail through images and commands. Then a dynamic graph fully describes our system (nodes, topics) and provides us with an overview of it. In a similar way and in the same workplace follows the installation of the necessary packages of Summit XL. Finally, through examples with the use of rviz and gazebo simulators, the application of basic functions is realised, such as robot localization, mapping its area and planning autonomous movements.
LibGuides: A Guide to Using EBSCO host´s Military and Government Collection: Utilizing Expanders/Limiters

Tips and guidance to searching in EBSCO host´s Military and Government Collection for Marines, Sailors, and library staff working at the Combat Center Library.
ANALISIS FRAMING BERITA DUGAAN EKSPLOITASI ANAK PADA CALON ATLET BULU TANGKIS PB DJARUM DI TRIBUNNEWS.COM DAN DETIK.COM EDISI 9 SEPTEMBER 2019

The crime of exploitation of children is not new anymore in Indonesia. September 2019, Indonesia's online media many reported news related to alleged exploitation of children in prospective PB Djarum athletes allegedly carried out by PB Djarum. This news is surprising to many of these people, PB Djarum is known as an institution that produces many talented badminton athletes who have already scent the nation's name for the achievement. In the case of the alleged exploitation of PB Djarum, each media has a different perspective in viewing and reporting this. This research aims to find out how news framing related to the alleged exploitation of children at PB Djarum atelt candidates in online media Tribunnews.com and Detik.com. Methods used is framing analysis by Robert M. Entman, with the object of his research is several Tribunnews.com and Detik.com news related to the alleged exploitation of children in prospective PB Djarum athletes. The results show that both online media are more likely to package news related to the alleged exploitation of children in the potential of PB Djarum athletes in the moral sphere. Tribunnews.com and Detik.com also show more positive side of PB Djarum. The difference in framing the news between Tribunnews.com and Detik.com can be seen in the sources used. In addition, Tribunnews.com also emphasized the fact of the PB Djarum decision to stop the badminton audition the following year while Detik.com was not. The protrusion of aspects in the form of images used is different, Tribunnews.com tends to often use images related to the The PB Djarum badminton audition, ranging from pictures of audition participants to athletes born by PB Djarum. While Detik.com only use the photo director of Djarum Foundation Sports Program which is a speaker in the news.
Designing Teaching Media On Listening II Using Computer Assisted Language Learning Instruction In English Department In UIN Antasari Banjarmasin 2019-2020

This thesis is principally aimed to design English Listening material using CALL instruction in English Department in UIN Antasari 2019-2020. The problem formulation of this research is: how is the English Listening materials using CALL Instruction for English Department students developed. The design of this study is Research and Development (R&D) , which can be applied in real education, there was only two phase consist of exploration phase and model development phase that passed by the researcher.The researcher took students of English department students in UIN Antasari in Academic year 2019/2020 as try out subject. He only took one class from four classes, the total number of the subject is 29 students. The developmental research is conducted at classroom of English department.To collect the data, the researcher uses some techniques such us interview, checklist, test, questionnaire and documentary. Data processing are divided into three phases: designing, validating, testing. Then, all data are analyzed qualitatively and descriptively.The result of this study is a multimedia software or a courseware, although the researcher still has to revise the courseware in the end, after all, the CALL program could be applied on English department student.
Development of Multi Faces Recognition System Using HOG Features and Neural Network Classifier in Real Time Environment

The face recognition field is not limited to personal identification and verification, recently it is highly applicable in a real-time application, security, and authentication purpose. It becomes an interested, challenging, and growing topic for a researcher in the area of Computer Vision In this paper, the researcher proposed GUI based development system for multiple faces recognition in video images using a Histogram of Oriented Gradient (HOG) and Neural Network classifier. This system can also be implemented for multi-face recognition and identification for class attendance purposes. In experimental work, the HOG algorithm and NN technique are incorporated. In this recognition system, the SEAS-FR-DB video database consists of HD multi faces of 5 subjects and each subject consists of 300 frames. The result shows correct recognition and a higher recognition rate near about 100% in a real-time environment with much lower computational time.
Research on Interactive Online Teaching of Python Language Foundation Course

Python language, as one of the most popular programming languages, has become the preferred programming course in Colleges and universities. However, in traditional teaching, the dull and monotonous teaching of Python course leads to the low teaching efficiency of Python course and the unsatisfactory learning effect of students. Therefore, there is an urgent need for new teaching methods to improve classroom efficiency. Adopting Python interactive online teaching can not only improve the teaching efficiency of Python course, but also promote the reform of information technology course.
Relative Attribute Classification with Deep-RankSVM

Relative attributes indicate the strength of a particular attribute between image pairs. We introduce a deep Siamese network with rank SVM loss function, called Deep-RankSVM, that can decide which one of a pair of images has a stronger presence of a specific attribute. The network is trained in an end-to-end fashion to jointly learn the visual features and the ranking function. The trained network for an attribute can predict the relative strength of that attribute in novel images.We demonstrate the effectiveness of our approach against the state-of-the-art methods on four image benchmark datasets: LFW-10, PubFig, UTZap50K-2 and UTZap50K-lexi datasets. Deep-RankSVM surpasses state-of-art in terms of the average accuracy across attributes, on three of the four image benchmark datasets.
Subject Guides: EXPS 410: Multiculturalism in School and Society: Find Books or eBooks

This guide is designed to support coursework in EXPS 410, which focuses on multiculturalism in school and society.
LibGuides: Reference Materials: HBU Accounting, Economics, and Finance Programs: Student Forms & Documents

If you're reading this on a small screen, click on the menu item and then scroll down to see the page!
La programación informática como posibilidad de (re)estructuración del área de tecnología

The assumption to be developed is the need to incorporate computer programming into the technology curriculum as a condition of possibility to intervene in educational, social and economic discourses, not in the manner of the first world countries that constitute themselves as a reference, but under the context Colombian that obligatorily links, to educational institutions both in teacher training and in its infrastructure. The structure of this text, starts from justifying the insertion of computer programming from the perspective of pedagogy, and socio-economic possibilities, aspects that would impact in this assumption.
Enhanced password recovery through user profiling : Improving password guessing accuracy by utilizing user metadata

The ability to recover passwords is an important step in red-teaming and penetration testing and can help users to prevent data loss in case the data is password protected and the password is lost. ...
Three Point Boundary Value Problems Associated with First Order Fuzzy Difference Systems-Existence and Uniqueness via the Best Least Square Solution

This paper presents a criteria for the existence and uniqueness of solutions to first order fuzzy difference system using QR-algorithm. Modified QR-algorithm is presented for fuzzy linear systems using singular value decomposition.
On the Performance Analyses of a Modified Force Field Algorithm for Obstacle Avoidance in Swarm Robotics

Obstacle avoidance is a major hurdle when implementing mobile robots and swarm robots. Swarm robots work in groups and therefore require an efficient and functional obstacle avoidance algorithm to stay collision free between themselves and their surroundings. This paper reviews previous research in obstacle avoidance implementation using the force field method (FFM), also known as potential field method (PFM). Moreover, this paper aims to execute simulations using a modified and simplified force field algorithm. The obtained results are analysed to identify the performance characteristics and the time taken to perform tasks using a singular mobile robot against a swarm robot environment consisting of four and ten robots, respectively. Simulations showed that the algorithm was successful in navigating obstacles for both single and swarm robot environments. A single robot was found to take up to 340% longer to arrive at the required location compared to the first robot in the experiment.
Path planning for mobile robots navigation with obstacle avoidance based on octrees

The article considers the problem of navigating mobile robots and finding the best way to the goal in real-time in a space surrounded by unknown objects. The motor actions of the robot must be defined and adapted to changes in the environment. When using only laser scanners on mobile work, objects above or below the lasers' level will remain obstacles to the robot. Current algorithms and principles of navigation are considered. Extended the existing real-time interference detection system using lasers by adding a camera that calculates the length of objects. The new system has been successfully implemented and tested in a mobile robot, ensuring the passage of the road providing collision-free paths. The obtained simulation results are presented in the article. The existing problems of navigation of mobile robots, which are moving in the particular area from their position to the specified destination on the map, were investigated. The current problem is the inability to spot objects that are not on the same level as the mobile robot's lasers. Moreover, the task is complicated when you need to recognize such objects while the robot is moving in real time. The current algorithms and principles of navigation given by previous research and publications are analyzed. As a result of the work, the existing system of recognition and avoidance of obstacles was expanded. Prior to that, the system used only odometry and information obtained from laser scanners, without obtaining data from other sources of environmental information. The idea of development was to use a camera, which was already part of the components of the researched mobile robot. It has become possible to generate a pointcloud relative to the environment, using a depth sensing camera to calculate the distance to objects. Because the density of the received data in the form of a pointcloud is too high for further processing, a downsample VoxelGrid filter was used, which reduces the density of the point cloud. VoxelGrid belongs to the PCL library. Another problem was the removal of information about unnecessary objects in the camera's field of view. These include the floor, ceiling, parts of the robot (such as a manipulator). The PassThrough filter from the PCL library was used to solve this problem. The next step is to process the filtered data using OctoMap. As a result, an octree is generated. A top-down projection is created from the octree generated in the previous step. The resulting projection must be processed and converted into polygonal obstacles. Only then they will be marked by teb_local_planner as obstacles. The developed system was successfully implemented and tested both in the Gazebo simulation and in the researche mobile robot. The path with obstacles will be completed without collisions. The paper presents the obtained test results.