Reviewerly/exHarmony huggingface dataset:
Practical aspects of project-based learning in the study of the discipline “Developing information systems”

Analysis of modern publications dealing with project-based learning at the university has shown that they can be divided into two parts.The first part is devoted to theoretical and methodological issues and its authors are mainly pedagogical specialists.The second part is concrete examples of the application of the indicated teaching technology in various subject areas, including technical specialties.The literature also presents applications on the organizational and technological aspects of introducing project-based learning in the educational process at the university.The authors of the second part are teachers of specialized disciplines in the corresponding field of study (medicine, technology, creativity, economics, etc.).This article provides an example of the use of elements of project-based education as early as in Soviet higher education when teaching students with a specialization in "Information Technology" and their projection on a modern educational platform.The purpose of the study is to consider individual methodological issues and practical recommendations for applying the project method for students of study profiles related to the study of disciplines focused on information systems (IS) design.The result of the study is to focus on the possibility of introducing project-based training within an interdisciplinary nature, in particular, the participation of students studying in economic specialties in projects for the creation of functional IS.Advice is given on the distribution of the roles of students and their functions in a team working on a project.
The Outward Spiral

Reports on Barry Boehm’s article, “A Spiral Model of Software Development and Enhancement,”1 is a classic in the fullest sense of the word (see “Article Facts”). It is ranked as the seventh most influential article published in Computer and presents an idea that is a foundation for software engineering. If this was the only article that Computer had ever published, we could honestly say the magazine had done a good job for our discipline. Yet, Boehm’s article is also classic in the sense that it comes from another world, one that did not have Java, Python, .net, or other development frameworks; no application programming interfaces (APIs); no virtual machines; and no Agile frameworks. It was published in 1988, a year that was closer to the founding conference of software engineering, the 1968 NATO Garmisch conference, than it is to our time. While it is possible to read this article as an elementary description of the spiral model, a key software engineering process, it is best read as an article that asks us to reconsider software engineering methods and think carefully about our current approach to software engineering problems.
Improving Narrative Writing Skills Through Video Media Utilization in Class V Students of Malaka Jaya Elementary School 07 Morning

This study aims to improve the narrative writing skills of Class V students through the use of video media. This study is action research conducted at SDN Malaka Jaya 07 Pagi East Jakarta. The subjects of the study were Class V students, amounting to 31 students. The research was divided into two cycles (after the pre-cycle), each cycle having two and three meetings. The data analysis technique was performed by using a qualitative descriptive technique. The success of this study is seen from two criteria, namely from the observation sheet after applying video utilization and from the increasing results of narrative writing skills. The study results obtained from the use of video are to make students active in finding information and making writing and skilled at developing and utilizing their own knowledge. It is hoped that the improvement in the skills to write narration will be clearly seen in the initial cycle and increase in cycle 2 (Two). This can be seen from the initial percentage. Students who are not yet skilled or not enthusiastic/interested in writing narration by 49%, then the percentage of results in the first cycle (second meeting) is 40% and at the end of the second cycle, (third meeting) students who are not interested write only 11%. Overall at the end of the second cycle all aspects and criteria for narrative writing experienced a significant increase.
PENDAMPINGAN PENYUSUNAN LAPORAN KEUANGAN HIMAWARI HANDMADE PANTI ASUHAN MUHAMMADIYAH PUTRI ULIL ABSHAR

The service was carried out at Panti Asuhan Muhammadiyah Putri Ulil Abshar. Panti Asuhan as a partner is one of Muhammadiyah Charitable Enterprises and included in the area of Aisyiyah Leader, Jetak Lor, Dau, Malang. Mitra has a business Himawari Handmade. The business produces bags, wallets, and some household products in the handmade category. The results of the business become a source of independent funds for partner. Service’s aims help partner through financial reporting preparation assistance. Service produces a financial reporting system by Microsoft Access (Microsoft Office 2016). The system produces integrated financial reports. Thus, partners will not do the recording and reporting manually. The system provides accurate and timely accounting data and information. Partners can analyze and make financial decisions well. Service done with several steps. Service starts by identifying the business activities of partner. The next step is discuss the needs of financial statements. The sfattep continued with the design of the Miscrosoft Access financial reporting system. The design is accompanied by the preparation of a system operational work guide for partners. The last step is training for business managers financial reports. The results can improve partner’s' ability to manage finances. Partner can understand and apply the concept of financial reporting to support business activities. This is indicated by the ability of partners to prepare financial statements. In addition, partners can use financial statements as a decision-making tool for the development of the Himawari Handmade business.Keywords : financial, report, business
Digital Technologies in Education and Their Influence on Modern Society

Nowadays much attention is paid to assessing the results of students` educational activities.International surveys compile the ranking and compare not only universities but also countries.Transparent results, social reports, the desire for improving the existing standards indicate the current trend towards improving the quality of education.To a great extent, the technology of online learning has become the reason for transparency and the desire for self-improvement.It is hard to imagine modern education without the use of digital technologies.These are presentations, video lectures, computer testing, electronic courses and many others.In the modern world, continuing education is growing more and more urgent.The article emphasizes the importance of using modern digital technologies in the field of education, electronic multimedia textbooks and video lessons.The features of electronic multimedia textbooks at the stage of the development of modern digital technologies are high mobility and correspondence to the model and flexibility in learning.The article presents international and Russian experience in the transformation of education, primarily through digital products and solutions, information and communication technologies.The positive and negative aspects of the use of digital technologies in the educational process are determined.
Research on distributed photovoltaic power prediction based on centralized photovoltaic output

Abstract Distributed photovoltaic does not provide output data when it is connected to power grid due to cost constraints, which adversely affects power grid dispatching. Considering the solar irradiance correlation between output of centralized and distributed photovoltaic stations in a region, a method for predicting the output of distributed photovoltaic power generation is proposed. Sinusoid function is used to fit the output of unshielded photovoltaic system by using the least square method, and the unshielded coefficient is proposed to represent the variation of photovoltaic output. The output of distributed photovoltaic (DPV) can be predicted by combining the unshielded coefficient and the reference power curve. The method is verified by a provincial power grid in northern China, the results show that the method has high accuracy, especially for small fluctuations.
Outline of Real Physics

Real physics is an axiomatic theoretical system based on the model of elastic particles. Unlike point-like and wave-like particles, elastic particles are objects with both mass and volume, which can spin and deform. Electrons, protons, and atoms are elastic particles. Elastic particles have three motion modes of translation, rotation, and vibration. The system of elastic particles follows simple and universal laws of motion. This paper briefly reviews the core concepts, basic principles, main contents, and major achievements of real physics. It shows that the classical physical laws (laws of motion, gravitation, electromagnetism, and thermodynamics) are all conclusions drawn from the statistics of elastic particles, which reveals the irreversibility of natural processes.
Child Friendly App for Spelling Training

Spelling skills are usually more difficult to acquire than reading skills. Nonetheless research based intervention proposals are scarce for spelling skills. In this study the impact of a child friendly spelling app on spelling skills is assessed. Results indicate an increase on spelling skills after training with the app.
TDMF: Task-Driven Multilevel Framework for End-to-End Speaker Verification

In this paper, a task-driven multilevel framework (TDMF) is proposed for end-to-end speaker verification. The TDMF has four layers, and each layer has different effects on speaker models or representations to implement the functions of universal background model (UBM), Gaussian mixture model (GMM), total variability model (TVM) and probabilistic linear discriminant analysis (PLDA). Unlike the typical i-vector method, the proposed TDMF can supervise the optimal solution of each phase (layer) towards the direction required by the PLDA classifier. Moreover, different from most end-to-end neural network approaches, which extract embeddings first and then additionally calculate the distance between two embeddings as the verification score, the TDMF can directly provide scores via the fourth-layer PLDA. The experimental results show that the TDMF can achieve better performance than that of the typical i-vector framework and VGG-M convolutional neural networks (CNN) framework.
Differential Attribute Desensitization System for Personal Information Protection

Big data brings much convenience to our daily life, while it also raises concerns to personal information leakage. It is important for data owner to protect sensitive data from being attacked. In this paper, we elaborate on the possible attacks that may be suffered at various stages of personal data life cycle and the corresponding privacy protection methods. Based on these methods, a differential attribute desensitization system (DADS) for personal information protection has been proposed. Data owner can define sensitive attribute level in the DADS. And then DADS can automatically identify sensitive data, and take differentiated data desensitization measures for structured and unstructured multi-attribute information. Experimental results show that DADS can automatically adapt to different types of sensitive information and protect personal sensitive information effectively.
End-to-End Speech Translation with Self-Contained Vocabulary Manipulation

In machine translation, vocabulary manipulation is a way to reduce the target vocabulary based on the source sentence and the word dictionary, which is effective to lower latency during inference for text translation in industrial application. But vocabulary manipulation is hard to apply to the end-to-end speech-text translation, because neither source text nor speech-to-target mapping is available. We introduce a method that avoids this dependence. Through learning the projection between sentence-level speech encoder output and final target vocabulary, the proposed method allows self-contained vocabulary manipulation without knowing source speech transcripts or dictionaries. Experimental results show that the proposed method speed up about 20% while keep the comparable translation quality.
Efektivitas E-Learning terhadap Kemampuan Koneksi Matematis Siswa di Kelompok Kerja Madrasah Tsanawiyah Kabupaten Tulungagung

Madrasah students' mathematical connection skills need to be of particular concern in the process of learning mathematics. Connection skills are the base for students to connect concepts in mathematics, mathematical concepts with other science concepts and mathematical concepts with everyday life. One of the efforts made in overcoming this problem is to use e-learning. Descriptive quantitative research methods are used to see how effective e-learning is for students' mathematical connection abilities. A total of 30 students were selected as research samples for data collection. Data processing techniques were divided into control groups and subsequent experiments were analyzed using descriptive statistics. The results showed that the effectiveness of technology-based e-learning included moderate criteria with an ING score of 0.56, whereas the study group without e-learning included moderate criteria with an ING value of 0.29. In conclusion, there is an increase in student learning outcomes after using e-learning media. t-test was obtained &gt; with 0.007 &lt;∝ (0.05) indicating that e-learning was effective to improve the mathematical connection ability of Madrasah Tsanawiyah students.
Triplet Loss Feature Aggregation for Scalable Hash

The increasing demands of high resolution and high quality videos aggravate the burden of limited cluster storage and restricted bandwidth resources. Hence, video de-duplication in storage and transmission is becoming an important feature for video cloud storage and Content Delivery Network (CDN) service providers. However, the current video de-duplication schemes mostly rely on the URL-based solution, which is unable to deal with non-cacheable content like video. The same video content with various resolutions and qualities may have completely different URL identification. In this paper, we propose a novel content-based video segmentation identification scheme that is invariant to the underlying codec and operational bit rates. It computes robust features from a triplet loss deep learning network that captures the invariance of the same content under different coding tools and strategy. In addition, a scalable hashing solution is developed based on Fisher Vector aggregation of the convolutional features from the Triplet loss network. Furthermore, we apply binary tree to obtain the triplets to improve the performance of the triplet-loss based VGG network. Our simulation results show significant improvements in terms of large scale video repository de-duplication compared with the state-of-the-art method.
The Futures of Scholarly Communications: Techniques and Tools for Futures Thinking

The changing system of scholarly communications and scholarly publishing is exciting for some and unsettling for others. As libraries use their resources and actions to shape the system, they seek to create a system that better reflects their priorities and values. But, at the same time, other stakeholders are also acting in the system. How these various forces will interact over time is unknown, but futures thinking offers an approach to identifying and considering a range of possibilities. This preconference was structured as an experiential workshop, in which participants explored approaches to considering the possible futures of scholarly communications and publishing, and then their implications for access, collections, and preservation. Though no specific conclusions could be reached about “the future” of scholarly communications as the emphasis was on exploring tools and techniques, the workshop enabled participants to think critically and creatively about their organizations, the impact of change and trends, and strategic positioning going forward.
Teacher Optimization in Utilizing Media Literacy for Social Science Learning in Semarang

This research aims to know the utilization of media literacy by teachers and the obstacles in social science learning in Semarang city. This research is a field research carried out through an inductive thinking process using qualitative approach. The type of data in this research is distinguished from primary and secondary data. The data sources in this research are human being and non-human being. Human being data source functions as a subject or key informant and the data obtained through the informants are in the form of soft data. Non-human being data source is in the form of documents which are relevant to the focus of the research such as events or activities that are related to the focus of the research. The data collection uses three techniques, namely (1) in-depth interview; 2) participant observation; and (3) documentation study. The data obtained were analyzed by stages, namely l) data reduction 2) data presentation and 3) conclusion / verification. The results of the research show that the teachers were trying to adjust to various updates in the media development. This self-adjustment was realized through the integration of both of them in learning regardless of several obstacles that must be faced by the teachers
A Comprehensive Analysis of User Job Data on a Petascale Supercomputer Dedicated to CFD

High performance computing (HPC) systems play a crucial role in performing large-scale scientific applications and their efficiencies are imperative to be improved. This paper aims to comprehensively understand job characteristics and the factors that affect system efficiency and performance, which lays a solid foundation for proposing and evaluating job scheduling and resource management methods. To achieve this goal, we collect job data covering two years from a petascale HPC system that is dedicated to computational fluid dynamics (CFD) applications. Furthermore, a detailed analysis about failed jobs and waiting time is conducted based on the dataset. Our analysis excavates some important characteristics of submitted jobs, which can not only help system owners understand and master the situation about CFD applications in the system, but also provide good guidance and ideas for optimizing job scheduling and resource management algorithms.
Puzzle Plots in TV Serials: The Challenges for Enigma-Driven Storytelling in Long-Running Formats

The article conducts a comparative analysis of a feature film (Open your Eyes) and two TV serials (Westworld and Dark) in order to find out how well the narrative complexity characteristic of puzzle plots may work in long-running formats. Given the core constituents of the puzzle effect ‒ disorientation, confusion, and lack of knowledge ‒ the biggest challenge for its viability in a TV serial is the extra-long running time. Both Westworld and Dark prevent audience frustration by already providing partial resolutions before the season ends, and by establishing supplementary attractions of a more classical and easy-to-grasp nature, such as future-oriented suspense-questions, or entertaining intrigues and machinations involving the whole cast of protagonists. Even in the larger structure of the TV serial, puzzle elements may, then, play an important role. However, spectators’ capacities to unravel convoluted plotlines have their limits, and the final revelation of what really happened may only satisfy if the entanglements are not overly construed. Due to these high demands, puzzle plots in TV serials will likely remain a niche phenomenon.
Galloping Early Warning Technology of Transmission Lines Based on RBF Neural Network

In view of strong nonlinear characteristics of transmission line galloping, firstly, the characteristics of historical dancing are analyzed, and the distribution areas and influencing factors of galloping are also revealed, which can be provided as the theoretical support for the establishment of galloping prediction model. Based on the characteristics of the galloping influence factors, several meteorological factors are selected for the galloping forecast, including surface temperature, rainfall, Upper air temperature, wind speed. Then the galloping forecast model based on Radial Basis Function neural network is built to predict whether galloping is happening. These essential meteorological factors are taken as the input parameters, while the output of the model is the galloping risk result. The galloping samples in the past five years of 2010-2014 has been taken as the training case, and the galloping samples in the November of 2015 in Liaoning Province has been taken as the testing case. The results show that it is feasible to use this artificial forecast model to predict the galloping risk of transmission line. The galloping prediction testing result using the proposed model shows that the forecast precision rate can reach as high as 91%, which can provide great technical support for the anti-galloping work for power grid. The research results can provide support for the transmission line galloping prediction and early warning technology, so as to improve the level of intelligent operation and maintenance of power grid.
Financial Crime, ICT &amp; E-Governance: Libraries Role

Love of money is the root of all evil (I Tim. 6:10) More than thirty financial crime are listed in this work making it like a spaghetti bowl. The list is inexhaustive with aid of ICT which is simply “putting old wine in new bottles” Elements of financial crime, consequences of these on the society and leeway for escape from justice in this climate are listed. From clumsy adjudication, corruption in judiciary, in availability of experts ,nonexistence of e-governance, dead forensic laboratories to empower Questioned Documents Examination (QDE), dearth of criminal profiling, jurisdictional discrepancies due to extra territoriality of the crime, short lifespan of cyber storage devices and double standards of investigatory unit, to difficulty of physical presence of suspects of borderless crimes. Overcoming these impediments are herculean but attainable. Recommendations to stem these crime’s negative effects on the economy and distortion of social stability etc. range from punishments bothering on cruelty and inhumanity like South Korea’s death penalty, documentation of financial criminals globally and information dissemination on such. Treaties on such crimes should be published widely, resuscitation of forensic laboratories to empower analysis of disputed signatures, fingerprints of ex-convicts.(CCR), Cross fertilization of ideas by jurists in foreign lands and reports in law libraries. Possibilities in virtual environments via ICT are listed such as “FinTrack” software etc. to stem this unethical public, financial behaviour.