Reviewerly/exHarmony huggingface dataset:
The Application of Mind Mapping Learning Model in Recount Writing

Most students at SMAN 8 Bandar Lampung, particularly those of X MIA 1 class, were struggling with English, including in recount writing lesson. The issue was most probably due to the fact that most of the students perceived English as a difficult and uninteresting subject. However, the findings show that the application of mind mapping learning model has increased the students’ learning interest, from 47.37% (n = 18) in the initial condition to 68.42% (n = 26) in the first cycle and 100% (n = 38) in the second cycle. The mind mapping method has also proved successfully in improving the learning outcomes. The students’ mean score on the posttest has improved from 57.37 in the initial condition to 64.21 in the first cycle and 73.16 in the second cycle, with a learning completion rate21.05% (n = 8) in the initial condition, to 52.63% (n = 20) in the first cycle and 89.47% (n = 34) in the second cycle. Despite four underachieving students by the end of the second cycle (10.53%), all indicators and criteria for successful improvement of learning process have generally been satisfied.
VM placement with effective energy management in cloud using optimal VM allocation framework (OVAF)

&lt;p class="CAbstract"&gt;&lt;span&gt;The performance of servers at the data centers is affected when the servers are overloaded. To overcome this problem, the workload at the overloaded servers has to be redistributed to other servers which is possible with live VM migration. Live migration plays a crucial role in handling the overload at the data centers without service interruption. However, live migration also incurs some performance loss and energy overhead. The energy consumption at the data centers is a matter of utmost concern both in terms of economy and ecology. In this paper we are proposing a novel approach to find the most suitable server for VM placement. We have introduced an Optimal VM Allocation Framework (OVAF) in which the hosts at the source requests the destination for their available slots. Based on the response from the available servers, the utilization factor is calculated and the selection of appropriate destination for VM placement is done. Simulations carried out have shown 10% improvement in energy saving.&lt;/span&gt;&lt;/p&gt;
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Best Call Forwarding Service Providers in the UK (2021) Comparing the UKs Top Call Forwarding Services You have come to the ...
DEVELOPING SPEAKING MATERIAL THROUGH TASK BASED LANGUAGE LEARNING AT VOCATIONAL HIGH SCOOL IN LUBUKLINGGAU

The objectives of this study were (1) to design speaking materials using task based language teaching for SMK Negeri 3 Lubuklinggau and (2) to describe the strengths and the weaknesses of the speaking materials using Task Based Language teaching for SMK Negeri 3 Lubuklinggau. This research include to Educational Research and Development (R&amp;D) using a simplified six steps of Borg and Gall’s model (1983). The result present that the product relies much on pertaining the KD of 2013 curriculum and the teacher expected that the students need to increase speaking skill since they have opportunity to speak English. The speaking materials were in line with students wants. The strengths of this product helped students to improve their speaking skill especially the vocabularies, the language function and the grammar used in spoken language. The tasks can attract the students to actively involve the teaching and learning process.
Self-Regulation and Discipline of Unai Girls Dormitory on 2018/2019 Proposed for A Program

Discipline is one of the key of success in reaching the college highest academic achievement Discipline requires self-regulation). This study measured the correlation between self- regulation and discipline among Unai girls’ dormitory residents of school year 2018/2019. This study occupied descriptive correlation method with convenient sampling held in UNAI chapel program on May 3, 2019. Out of 477 girls dormitory residents, 297 students were able to return the questionnaires. The Self-Regulation questionnaire was modified from The Self-Regulation Questionnaire (SRQ) and Discipline questionnaire was modified from Discipline with Purpose Questionnaire. The reliability of those questionnaires were .882 (high). This study found that there was significant relationship between Self-Regulation and Discipline of UNAI girls’ dormitory residents on 2018/2019 with correlation .353 (low correlation). This low correlation measures happened because the residents are more afraid of punishment rather than practicing self-regulation.
Investigating Existing Techniques for Designing Convolutional Neural Network Filters

In the last decades, Deep Learning (DL) has played an essential role in extracting automatically high-level features and performing complex computer vision tasks. A Convolutional Neural Network (CNN) is one of the deep learning methods that is currently attaining state-of-the-art accuracy in image classification and object recognition. CNN has three types of layers: convolutional layer, pooling layer and fully connected layer. The first two types of layers extract different levels of useful features, while the latter type is dedicated to perform classification. Traditional CNNs like AlexNet, VGGNet, GoogLeNet, ResNet use back-propagation approach in their training. Such approach requires huge amount of datasets which leads to high computational cost and suffers from vanishing gradient problem that deteriorates the quality of learning. Recently, a forward propagation approach was proposed to tackle these problems. In this paper, we summarize the results of a comparative study which we conducted on the two learning approaches.
A Study on the Methods for Creating the Images of Characters and for Utilizing Advertising Products on American Animations

This paper aims to study the methods for creating the original images of the major characters and for utilizing their advertising products based on American animations. The learning in this class focuses on the behavioral objective and the task-based teaching method ranging from pre-task activities to task activities to post-task activities respectively. Therefore, while teacher guides the direction and scope of learning contents, learners select the representative works, the unique images, and the promoting commodities by these groups’ active discussions. After choosing six works among sixteen ones finally, they create the differentiated images of Cinderella, Beast, Shrek, Rapunzel, Judy, Elsa, and use the commercial goods suitable for them. This course has a significant meanings on improving learners’ wide experiences and their creative abilities through the self-directed group activities. In addition, it will be contributed to the real-world tasks due to this pedagogical task. But, it needs to be taken the deep critical views on American animations, and to be considered the alternative methods for getting inferior learners.
Image super-resolution via multi-path recursive convolutional network

Convolutional neural network (CNN) has recently achieved a great success for single image super-resolution (SISR). However, most deep CNN-based super-resolution models use chained stacking to build the network, which results in the fact that the relationship between layers is weak and does not make full use of hierarchical features. In this paper, a multi-path recursive convolutional network (MRCN) is designed to address these problems in SISR. By using multi-path structure to strengthen the relationship between layers, our network can effectively utilize features and extract rich high-frequency components. At the same time, we also use recursive structure to alleviate training difficulty. In addition, by introducing the operation of feature fusion into the model, our network can make full use of the features extracted from each layer in the reconstruction process and select the effective features adaptively. Extensive experiments on benchmarks datasets have shown that MRCN has a significant performance improvement against existing methods.
MODEL KOOPERATIF TIPE PAIR CHECK DALAM PEMBELAJARAN MEMBACA UNTUK MENINGKATKAN KUALITAS LITERASI

This paper is based on the results of class action research. The study aims to improve the ability to read scanning through a cooperative learning type pair check model on class VIII MTs. Masularul Ulum Pemulutan, Ogan Ilir. The action hypothesis in this study is Cooperative type paired learning model can improve reading learning scanning of class VIII students of MTs. Masdarul Ulum Ogan Ilir . Data collection is done by observation and tests. This research was conducted in two cycles which each cycle through four stages. Cycle data is collected through observation sheets and assessment sheets. The data obtained were then analyzed to find out whether there was an increase in learning outcomes achieved by students. After going beyond the first cycle, in the second cycle the teaching and learning process showed satisfactory results compared to the previous cycle. The results of reading scanning skills in cycle II have increased from the first cycle and have reached the expected average value. From the results of the reading scanning scanning cycle II, MTs students. Masdarul Ulum almost achieved learning completeness up to 84.38% and the average student learning outcomes reached 74.4.
Technological Basis For The Formation Of Axiological Competence Of Cadets

Article sets the task of searching and substantiating the technological basis for the formation of axiological competence of cadets during military-vocational education. The main idea of the study is formulated, theoretically and empirically justified. Effectiveness of the technology of forming axiological competence of cadets is due to: orientation of the educational process to studying the development of common cultural and professional competencies that reflect universal humanitarian, military-specialized and military-educational values and valuable orientation, and provide future officers with the ability to effectively deal with military professional objectives; ensuring the overcoming of the value uncertainty of the training and educational process and valuable content of military-vocational education; taking into account the laws of value orientation formations and the development of competencies by the individual. The relevance of the research task is determined on the basis of the activity content and professional functions of officers defining the significance of the valuable certainty of their consciousness and ability to form valuable orientations among subordinates. The content of the axiological competence of future military specialists is represented by military-specialized and military-educational components, including cognitive, motivational-valuable, and activity-behavioral characteristics of an individual. A system of key pedagogical conditions that define the informative, methodical and technological orientations for designing the process of forming axiological competence of cadets is set out. Technological foundations of the designed pedagogical activity are represented by stages of the educational process and stages of axiological competence formation. Results of experimental approbation of the developed technology, testifying to its effectiveness, are given.
Improved fractal-SPIHT hybrid image compression algorithm

Image compression play an important role in efficient data storage and faster transmission in multimedia applications. In this paper, a hybrid compression algorithm is proposed combining Quadtree Fractal Image Compression (FIC) and Set Partitioning in Hierarchical Tress (SPIHT) techniques for better compression. First the image is decomposed using wavelet transform. Then Quadtree FIC is used on the approximation sub-band of the decomposed image and SPIHT is applied on all the detailed sub-bands. The performance of the proposed algorithm is assessed on standard images. Compared with the existing methods, it shows the superior results providing better PSNR of 37.07, low encoding time of 1.610 seconds and SSIM of 0.9805 for standard Lena image.
- Ensino com pesquisa: uma realidade nos cursos de Biblioteconomia do Estado de São Paulo?

The research is devoted to scientific collaboration between professors and students of Library Science programs in the State of São Paulo, aiming to ensure that teaching is linked to research.Starts from the assumption that it is fundamental the inclusion of undergraduate students in scientific research in order to be inserted in the production and scientific communication in the field, and also to ensure the training of professionals capable of thinking about the duties, the work environment and the available knowledge.The research has an exploratory and descriptive profile and analysed 3.164 bibliographic productions from 116 active professors in 8 programs from 2010 to 2016.Results confirm the assumption and show that 88.7% of publications with co-authorship professor-student are from Works of Programme Completion.The results also show the importance of internships, curricular and extracurricular activities, followed by professors and lead to a reflection on practices and knowledge share in events of the area.
PERANCANGAN SISTEM INFORMASI PENGOLAHAN DATA PENGGAJIAN DOSEN DAN KARYAWAN PADA STT PAYAKUMBUH

The research conducted at STT Payakumbuh aims to study the data processing system of Lecturers and Employees Payroll, especially in the payroll section, still manual and stored in paper form, so that it is efficient and effective and is able to provide data long enough in data search. In calculating the salary of lecturers and employees still using Ms. Excel and paper, so that payroll data is still likely to be lost or damaged. This research was conducted by collecting data in the field, library research, direct observation, and computer laboratory research in meetings and report collection using the Visual Studio and MySQL application programs as database managers. So from the results of these studies the authors make an information system that manages payroll data. Using the payroll process which was still in the form of manual recording and use of Ms. Excel, now it's done with computerization with database storage media. With this system can help in the process of recording payroll data, making it easy to find payroll data and speed up the process of inputting payroll data.
A Mixed Login Scheme Performed on Mobile Device to Resist Multiple Attack

Nowadays text-based password has been widely used in our daily life.However, rather than choose a complex text password people prefer to use a brief password so that they can remember it easily.Moreover, with the rapid increasing use of mobile applications, people often input passwords in public.Attacker can perform shoulder surfing attack to observe the password directly with naked eyes or some video record devices.In order to resist the shoulder surfing attack, a number of authentication schemes based on graph have been proposed.However, graph-based password is totally different from text-based password.It's difficult for users to memorize two different kinds of passwords.In this paper, we propose a mixed login scheme called MixedKey which mixes graphic and traditional textual password.The login indicator in the scheme is randomly and safely generated for each login.MixedKey divides each password into characters, which connects graphic and text-based password.Users could login our system in both public and private situations with just one password.We also implemented MixedKey and conducted experiments to measure the memorability and usability.The results show MixedKey outperforms the existing schemes.
Courses in Library Science and Information Science at CityLIS. City, University of London. Entry September 2020.

This PowerPoint presentation details the content and ethos of our masters courses in Library Science and Information Science, at CityLIS, the Department of Library & Information Science, City, University of London. Presented on 13th November 2019.
Features of Teaching Students - Foreign Citizens of Mathematics

The article is devoted to the peculiarities of training students - foreign citizens of mathematics in the institutions of higher technical education of Ukraine. A number of principles for teaching students - foreign nationals of mathematics have been proposed. A set of pedagogical requirements aimed at forming of general cultural and general professional competences of students was put forward. &nbsp;Teaching foreign students is an initial stage, which has its own peculiarities, because in a short time they must acquire not only a sufficient amount of theoretical and practical knowledge of mathematics, its application to solve professional problems, but also to create their own mathematical base, to form the communication skills and competences that they will need to participate fully in the life of the HLS, as well as to use it to accomplish professional tasks.
Designing A Model For Managing Educational Programs In Universities

The article presents the results of the analysis of scientific literature on the management of educational programs in universities and the experience of interaction with employers in terms of clarifying opinions on the direction of development of various professional fields. It has been established that today leading educational institutions of higher education are following the path of forming a management system for educational programs. The researchers of this issue presented models of educational programs management systems. Modernization of educational process management systems in universities is taking place with a shift in managerial focus from the management of faculties and departments to the management of educational programs. Management of the educational program is a special kind of professional activity for which a new personnel position is required. In the Russian practice of higher education management, such specialist is the head of the educational program. The institute of heads of educational programs is necessary in high school. Educational programs should be in demand among potential consumers of educational services. In this regard, it is necessary to modernize existing educational programs to focus on the strategic development of industries and territories. The experience of the annual monitoring of the level of development of graduates competences in educational programs is shown: the definition of the most important in terms of the requirements of modern production of graduates competencies; assessment of the situation in individual production areas to identify areas for improving educational programs and increasing the level of social and professional adaptation.
Using of GIS on field geology studies; An application on central-southern of Eskişehir

Technological developments on Geographical Information Systems (GIS) make possible to use its applications on all departments of earth sciences.GIS based drill-hole data, lithological and structural maps are used integrated with field geolgy investigations in this study.The area where is bordered Batıkent-Yukarı Söğütönü districts on northwest and Vadişehir-Ihlamurkent districts on southeast is defined as study area.44 water wells drilled by State Hydraulic Works (DSİ) are located in various points of Eskişehir region were transformed to GIS base.Geological cross-sections which were designed by drill-hole lithology are point out a disconformity zones between Paleogene and Neogene according to principle of lateral continuity.Neotechtonic researches on study area show thah right lateral strike slip shear zone dominates the region structurally.Searching these structural traces on the field and representing new field evidances by using GIS on the regions where there is no consensus stratigraphicly are the main purposes of the study.Geological map of the region where lies between Çankaya and Karapınar districts without consensus stratigrapichly was made by field observations on Miocene units.The other surface evidances include dilation fractures, strike-slip faults are support the idea which is suggested for Eskişehir region as right lateral strike-slip shear zone.
Analisa dan Perancangan Sistem Perhitungan Insentif Marketing Trade Menggunakan Sistem Remunerasi

PT. Kobe Boga Utama is a company engaged in food manufacturing with trademarks such as Boncabe, Kobe Flour Seasoning, Oyster Sauce Taste, and so forth. Having many sales branches spread in various cities in Indonesia such as in Jakarta, Bandung, Palembang, Bali, and many other cities. In the trade marketing department, the calculation and recording of incentives are still manual, which often results in data loss, data mismatch, delays in calculating incentives that can affect sales performance and targets. The method used in this study uses a prototype method with a calculation scheme using a remuneration system. Data collection methods using the method of observation, interview methods, and methods of literature. Data analysis uses descriptive analysis. The purpose of this research is expected to help make it easier for companies to get incentive reports accurately and for sales to know clearly how much their incentives are after making lots of sales in real-time and up-to-date. The results of this study are to provide information systems for calculating incentives easily, quickly and accurately making it easier for company management to make decisions and pay incentives more smoothly so as to improve the performance of sales to achieve better sales targets.
Influence of noise, light and shadows on image segmentation algorithms

Image segmentation is a required step in object recognition tasks, dividing the image into multiple regions or clusters. Each image pixel is assigned to one of the clusters using different metrics such as pixel colour value, grey-scale intensity, edges, shapes, among others. The most diverse image segmentation algorithms have been proposed. It is important to analyse the robustness of those algorithms, taking into consideration diverse types of noise and difficult conditions. In this paper we choose a small set of frequently-used algorithms and analyse their behaviour in robustness-testing conditions. We inject difficulties (noise, shadows, various degrees of illumination) and compare the quality of the segmentation of algorithms against a ground truth. The objective is to analyse how differences in illumination, shadows or noise influence the output of the algorithms, and how they compare on those metrics. Based on those results we conclude about the quality of the approaches tested.
Analysis of the Threat of Floods in Kendal Regency Using Fuzzy Analytic Hierarchy Process and the Geo Hazard Map Methodology Catalog

Based on BPBD (2018), Kendal Regency in 2017 have occurred 154 hazards, that are 30 floods, 19 landslides, 18 fire hazards, 20 stormwind, 13 marine accidents, and 54 other hazards. Most of the Kendal Regency area is dominated by floods hazard. Disaster management can be followed up with the initial stage in mapping of hazard threats. The methods that used in mapping of hazard threats are varied depending on the hazard parameters used. In this study, using two methods to analyze the threat of floods using Fuzzy Analytic Hierarchy Process and The Geo Hazard Map Methodology Catalog. Analytic Hierarchy Process (AHP) is a decision support method to determine priority of hierarchy with the main input based on experts. Fuzzy Analytic Hierarchy Process is an Analytic Hierarchy Process (AHP) method, that developed with fuzzy logic theory, especially triangular fuzzy which is expected to minimize uncertainty so that the results wpuld be more accurate. The results in this study can be used as input for the authorities to undertake preventive hazards management.
GeoJSON Data Curation Primer

This work was created as part of the Data Curation Network “Specialized Data Curation” Workshop #2 held at Johns Hopkins University April 17-18, 2019.