Reviewerly/exHarmony huggingface dataset:
EFFECTS OF MOBILE INSTRUCTIONAL APP ON UNDERGRADUATE STUDENTS’ ACADEMIC PERFORMANCE IN ECONOMICS IN SOKOTO STATE, NIGERIA

Mobile instructional app (MIA) is a set of instructions put together as a program usually installed on mobile devices to facilitate learning and improve academic performance. MIA helps to motivate students for the enhancement of positive academic performance, thus, it could be utilized in an individualized or in a blended learning environment to supplement traditional teaching-learning process. This study investigated the effects of mobile instructional app on undergraduate students’ academic performance in economics in Sokoto State. The study adopted quasi experimental with a pre-test and post-test, non-equivalent comparison involving 2x2 factorial design.All undergraduate students in Sokoto State formed population of the study. A total of 61 undergraduates formed the sample for the study, 34 for experimental group one (23 males and 11 females) from Sokoto State University (SSU) and 27 for experimental group one (22 males and 5 females) from Usmanu Danfodiyo University Sokoto (UDUS). Pilot study was carried out at Federal University Birnin Kebbi using twenty 100 level undergraduates. Economic Principles Test Instrument (EPTI) was used for data collection. Reliability coefficient of 0.78 using Kuder Richardson 20 (K-R, 20) was obtained. Research hypothesis one was tested using analysis of covariance (ANCOVA), while hypothesis two was tested using t-test statistics. The study found among other that the app was academically effective. There was significant difference in the achievement of the undergraduate students exposed to mobile instructional app and those taught using blended approach (F (1, 58) = 13.649, p&lt;0.05) in favour of experimental group 2. There was no significant difference in the academic performance of the undergraduate students taught in a blended learning environment based on gender. The study concluded that the mobile instructional app (MIA) enhanced the academic performance of undergraduates from the two universities (UDUS and SSU) irrespective of gender. It was established by the study that the undergraduates taught in a blended learning environment out-performed those exposed to MIA alone. The study therefore recommended that lecturers should endeavour to develop and utilize mobile instructional apps that are in line with new NUC benchmark to supplement teaching process.
Sorting Lists with Equal Keys Using Mergesort in Linear Time

This article introduces a new optimization method to improve mergesort's runtime complexity, when sorting sequences that have equal keys to $O(n log_2 k)$, where $k$ is the number of distinct keys in the sequence. When $k$ is constant, it is evident that mergesort is capable of achieving linear time by utilizing linked lists as its underlying data structure. Mergesort linked list implementations can be optimized by introducing a new mechanism to group elements with equal keys together, thus allowing merge algorithm to achieve linear time.
Effects of dissipation induced blockade on the dynamics of two qubits without direct interaction

We study the effects of dissipation induced blockade on the dynamics of an open quantum system having two qubits in nonequilibrium independent baths. The qubits are driven by a classical field with a temporally modulated detuning. The introduction of blockade induced via two effective baths together with the effect of the driving field enable us to observe maximal entanglement oscillation of about unity that decays with a quasi-steady entanglement state oscillating about the 1/2 limit with adjustable decay rate. When the temperature difference between two baths is not large, maximal entanglement oscillation can still be observed in the model. In addition, the adjustment of the nonequilibrium thermal baths by modulating the dissipation and the application of time-dependent detuning give rise to rich entanglement dynamics. We further demonstrate numerically the practical implementation of the proposed scheme with a universal cavity QED setting.
PRACTICAL TRAINING FOR STUDENTS IN SOCIAL PEDAGOGY, CARRIED OUT DURING STATE OF EMERGENCY

The article presents the organization and implementation of the training practice and pre-graduation training for Social Pedagogy students at the Trakia University in Stara Zagora. The state of emergency declared due to the COVID-19 pandemic imposed the research, development and implementation of new forms of training that were never before employed for educating the future specialists. It also defines new problems in the organization, tracking, and assessment of the training and demonstrates solutions that include the active participation of all representatives – academic tutors, mentors from the institutions, students from both forms of education (full-time and part-time). The article presents the results from an on-line survey, carried out among the students and draws conclusions about the effectiveness of the alternative organization of the training. The author also shares ideas about the inclusion of new elements in the organization an implementation of the practical training of future students.
Cloud platforms and virtualization technologies in education

The article discusses the use of cloud platforms and virtualization technologies, including those based on virtual machines from Microsoft, Amazon, Google, Yandex, Mail.ru for organizing universal training workstations for students with the unification of system and application software for individual study. The main advantages of using cloud-based software over traditional academical one in the educational environment are considered. The great attention is paid to the issues of organizing a virtual workplace in order to increase the effectiveness of training both in the educational organization and outside the classroom. The materials presented were tested at the Department of Computational Mathematics and Methods of Teaching Computer Science in the classroom by the authors of the article.
Information system supporting research on rubber in Thailand

his research aimed to develop an information system supporting research on rubber (ISSR) in Thailand. This system was designed as a web application with responsive web design. The rubber database was developed with MySQL, used Apache Server as a Web Server and programed with PHP-script. High Chart, Google Chart API and Java Technology were used to represent an online information with graphical format. The system was tested with the actual data on rubber research in Southern Thailand. The system has been available online at URL http://www.s-cm.site/issr. There are three type of users: administrator, researcher (member) and generic user. The researcher performed data entry about research with log-in to the system using username and password provided by the automatic system via online registration form. The administrator can manage the research information. The researchers can manage their research information, use searching tool and leave comments on other member’s research. The generic users can access the system without username and password to view the research and general information on rubber. Moreover, the system generates a report on rubber research with online graphical format. In conclusion, this information system enhances investigation on rubber research in Thailand and its strategy planning for rubber plantation in the future.
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.

Node classification on graph data is an important task on many practical domains. However, it requires labels for training, which can be difficult or expensive to obtain in practice. Given a limited labelling budget, active learning aims to improve performance by carefully choosing which nodes to label. Our empirical study shows that existing active learning methods for node classification are considerably outperformed by a simple method which randomly selects nodes to label and trains a linear classifier with labelled nodes and unsupervised learning features. This indicates that existing methods do not fully utilize the information present in unlabelled nodes as they only use unlabelled nodes for label acquisition. In this paper, we utilize the information in unlabelled nodes by using unsupervised learning features. We propose a novel latent space clustering-based active learning method for node classification (LSCALE). Specifically, to select nodes for labelling, our method uses the K-Medoids clustering algorithm on a feature space based on the dynamic combination of both unsupervised features and supervised features. In addition, we design an incremental clustering module to avoid redundancy between nodes selected at different steps. We conduct extensive experiments on three public citation datasets and two co-authorship datasets, where our proposed method LSCALE consistently and significantly outperforms the state-of-the-art approaches by a large margin.
Preface for the special issue on tool papers of the 21st International Conference on Coordination Models and Languages, COORDINATION 2019

To improve the efficiency, developers tend to use APIs to avoid reinventing wheels in the development of Apps. However, there are thousands of APIs for various purposes, so it is difficult for developers to identify suitable APIs according to the functionalities to be realized. App stores manage millions of products, which embody the experience and wisdom of developers, and they provide valuable data resource for solving this problem. By summarizing the API usage for the same or similar functionalities in Apps, reusable knowledge can be mined for the API recommendation. In this paper, we utilize the data resource in App stores and provide an API recommendation method for the development of Android Apps. Firstly, by using UI elements as the bridge, we establish mapping relationships between functionalities and APIs. Secondly, we build a framework to describe functionalities of Apps in the same category, and utilize relationships between functionalities and APIs to construct the API knowledge for each node in the framework. Thirdly, we identify nodes according to queried features and show the API knowledge to developers by giving recommendation lists. We conducted experiments based on Google Play, and the result shows that our method has a good recommendation performance.
Reading for pleasure : the influence of reading clubs in selected Bahananwa Limpopo primary schools

The challenges of reading experienced by learners exerts a negative impact on reading for pleasure, and learners' outcomes. In an attempt to address such reading challenges, Reading Clubs were launched to promote reading for pleasure among South African youth. This study examines the influence of Reading Clubs on learners' attitudes to Reading for Pleasure and the outcomes thereof. The study was informed by the Top-Down Model of Reading and the Cultural Theory of reading for pleasure. Interviews were conducted in five purposively selected schools with five Sparker coaches and five teachers. The research findings reveal a positive influence of Reading Clubs on reading for pleasure and learners' outcomes. This is reflected through improved levels of reading for pleasure. This study ultimately recommends that schools learn from best practices of Reading Clubs, and that government strive to make Reading Clubs a sustainable project.
STUDI TENTANG PENGARUH METODE PENUGASAN TERHADAP PENINGKATAN PRESTASI BELAJAR MATA PELAJARAN PKn SISWA SDN WULUNG V KECAMATAN RANDUBLATUNG KABUPATEN BLORA TAHUN PELAJARAN 2011/2012

Updates the quality of learning in Indonesia today directed with a view to implementing basic programs such as: the use of the method in the learning process is a necessary condition to achieve a good achievement. In recent years it has implemented a new curriculum, which has been enhanced. The curriculum needs to be implemented in schools-schools including elementary schools, often called SBC curriculum. With the curriculum led to the new changes, such as changes in the delivery system of the subject matter in teaching and learning. The new system was implemented in the Learning Skills Program that emphasizes the involvement of the student in the learning process as well as the activity of teachers. Teaching and learning activities have been planned and used appropriate methods, it will cause the effect on student achievement so that student achievement would be better. This is similar to the method of assignment to the learning achievement Civics, where the application of these methods will be more successful and influential on increasing academic achievement. Winarno Surachmad give his opinion: ... the method of learning in the classroom in addition to the factors students and teachers participate situational factors determine the effectiveness of the method. (Prof. Dr. Winarno Surachmad, 1980, 20). The role of methods in teaching and learning is very important and very dominant.
Innovative approaches to training professionals working with young children with disabilities

The article is devoted to the topical issues of vocational training of experts working with young children with disabilities. The necessity of discussion of the issue is based on the expansion of the age limits of correction influence and the creation of a system of early intervention for families raising children with disorders. According to that, the issue of training highly qualified professionals has become vital both for the system of special education and for those who need professional assistance.
Automatic Speech Verification Spoofing Detection

Automatic speech verification (ASV) is the technology to determine the identity of a person based on their voice. While being convenient for identity verification, we should aim for the highest system security standard given that it is the safeguard of valuable digital assets. Bearing this in mind, we follow the setup in ASVSpoof 2019 competition to develop potential countermeasures that are robust and efficient. Two metrics, EER and t-DCF, will be used for system evaluation.
Arabic Voice Recognition Using Fuzzy Logic and Neural Network

This research adapted and implemented an algorithm for commanding using speech recognition in ARABIC language in addition to English, and the ability to train the system using other languages. The recognition based on discrete coefficient of the wavelet transform. Intelligent recognizer is built for two models, the first is Neural Networks, and the second is Fuzzy Logic Recognizer. The proposed speech recognition system consists of three phases; preprocessing phase (two processes are performed on the sound, DC level removal and resizing of sample for 2000 samples for each sound), feature extraction phase (features that distinguish each sound from another, it is wavelet transform coefficients), and recognition phase (many classifiers could be used for speaker recognition, in this research supervised neural networks, MLP and Fuzzy Logic classifiers are used. This research is also concerned with studying the recognition ability of MLP neural Network and Suggeno type Fuzzy Logic systems, for the recognition of Arabic and English Languages. The neural networks trained with features extracted from discrete wavelet transform. The use of Wavelet Transformation enables to extract an exact features form the speech. The research illustrates the effect of using two different intelligent approaches using MATLAB, and by applying the voice commands directly to an automated wheeled vehicle.
When there is meaning in design? Two dimensions of the practice of designing (communication)

John Thackara emphasised that 80% of the negative impact on the natural environment has its origin in design and the randomness of its application. Considering the entirety of design practices, one would have a hard time disputing this. In contemporary times, design understood as design practices has assumed a servile role in relation to big corporations. One can observe the consequences of such practices in real time: social exclusion, the lack of design consideration or consideration of end users, the failure of branding, and the polarisation of entire societies – these are only some dimensions of the current applications of design (including graphic design). Instead of the current applications, we need a change in the paradigm of both the theory of design and practical applications. Design needs a new code of application which would not only look good in social media, but would also be a clear point of reference in the design practice.
Professional Orientation of a Teacher of Foreign Languages Using Reflective Activities

The problem of the formation of a foreign language communicative competence remains relevant in teaching foreign languages. The relationship between the teacher and the student is of great importance in the educational process, namely, the positions of cooperation, co-creation, and synergy of the result from teamwork. Within the framework of such training, activity tasks are highlighted. To ensure an effective educational process, it is necessary to teach students reflective activities, which leads to a better understanding of problems in the educational process. Therefore, reflective activities that contribute to the analysis of interaction and ensure the design of teamwork have been developed.
Practice of Preserving Collections in the Library and Archives Canada

The Library and Archives of Canada (LAC) is Federal department of Canada established by the Parliament of Canada in 2004 to integrate services and functions of the National library and the National Archives of Canada; and currently it is the fourth-largest library in the world. The article discusses the experience of the Library and Archives Canada in creating modern centres for preserving documentary heritage, organizing the work of collections management, their conservation and restoration, ensuring openness and accessibility of collections. The main sources were materials published on the LAC website, primarily planning, reporting and financial documentation of the institution, as well as publications in the Canadian periodical press. Special attention is paid to the buildings and premises of the LAC storage facilities. The author describes the concept of the project of the Gatineau Preservation Centre, GPC. The complex, opened in 1997, is one of the top architectural objects constructed in Canada in the 20th century and one of the most secure library storage facilities in the world. The article considers organization of collections storage in the GPC and the work of restoration laboratories located in it. The author shows that GPC provides the most favourable storage conditions for the most valuable and vulnerable LAC collections. The paper gives information about the storage facility in the main LAC building in Ottawa on Wellington Street (built in 1967; modernized in the early 2000s), as well as storage facilities in Gatineau, Renfrew and Winnipeg. The author characterizes the new version of the LAC Collections Preservation Program (2018) which defines the strategic objectives of the institution in this area, both for the nearest future and for the long term. The paper presents results of a large-scale study of the state of the collections storage in LAC (2016—2018) and outlines the most acute problems identified in this study. There is emphasized the importance of the construction of the new Gatineau-2 complex, launched in 2019 (Project cost is 330 million Canadian dollars). According to experts, Gatineau-2 will become one of the largest, technologically equipped and environmental centres for the conservation and restoration of library collections in the world, as well as the first zero-energy storage facility in North America. In Canada, special attention is paid to the construction of modern centres for the preservation of documentary heritage, which create all the necessary conditions for long-term security of collections, conservation and restoration work. Implementation of such projects is impossible without government support, without understanding by authorities of the leading role of libraries and archives in the preservation and promotion of the national cultural heritage. The experience of LAC may be of interest to Russia, taking into account the tasks set in the document “The main directions of development of activities to preserve library collections in the Russian Federation for 2011—2020” and elaboration of long-term programs in this area.
Static Task Allocation in Distributed Systems Using Parallel Genetic Algorithm

Over the past two decades, PC speeds have increased from a few instructions per second to several million instructions per second. The tremendous speed of today's networks as well as the increasing need for high-performance systems has made researchers interested in parallel and distributed computing. The rapid growth of distributed systems has led to a variety of problems. Task allocation is a key process for distributed systems to achieve effective system efficiency, which, except for a few cases, is an NP-complete problem. Finding an effective and efficient method for this problem is still sought despite various methods used in studies. Experiments and the results of previous research have shown that NP problems are better solved by exploratory methods than other methods. This study used a parallel genetic algorithm (PGA) to find a solution for proper task allocation to processors in a distributed system. The task allocation policy, obtained using PGA, is much faster than traditional genetic algorithms. The results showed that the proposed algorithm can provide optimal or near-optimal allocations for problems of different sizes. The proposed method also solved large- and medium-sized problems much faster than traditional genetic algorithms and with super linear speedup.
Application of Container Image Repository Technology in Automatic Operation and Maintenance of the Dispatching and Control Cloud

With the continuous development of the container technology, the scale of the dispatching and control cloud built by it is expanding continuously. At the same time, the application portability of cloud platform based on virtualization is poor, the man-made operation and maintenance mode of the dispatching and control cloud is inefficient and the error rate is high. It is difficult to guarantee the safe and high-quality operation of power grid and the lean and efficient operation of the dispatching management. Using container technology to containerize cloud platform applications and relying on the Continuous Integration and Continuous Deployment (CI/CD) platform which can achieve efficient and accurate maintenance of the dispatching and control cloud. In this paper, the CI/CD platform which consists of the Jenkins,Kubernetes and Docker is introduced to complete the operation and maintenance tasks of the dispatching and control cloud,such as automatically agile construction, automatic publishing. Finally, through the analysis of the dispatching and control cloud, it is verified that the results show that the platform has a certain effect in automation construction, publishing efficiency, gray publishing update, operation and maintenance quality.