Reviewerly/exHarmony huggingface dataset:
Accelerating Variance-Reduced Stochastic Gradient Methods

Variance reduction is a crucial tool for improving the slow convergence of stochastic gradient descent. Only a few variance-reduced methods, however, have yet been shown to directly benefit from Nesterov's acceleration techniques to match the convergence rates of accelerated gradient methods. Such approaches rely on "negative momentum", a technique for further variance reduction that is generally specific to the SVRG gradient estimator. In this work, we show that negative momentum is unnecessary for acceleration and develop a universal acceleration framework that allows all popular variance-reduced methods to achieve accelerated convergence rates. The constants appearing in these rates, including their dependence on the number of functions $n$, scale with the mean-squared-error and bias of the gradient estimator. In a series of numerical experiments, we demonstrate that versions of SAGA, SVRG, SARAH, and SARGE using our framework significantly outperform non-accelerated versions and compare favourably with algorithms using negative momentum.
On Post-Processing the Results of Quantum Optimizers

The use of quantum computing for applications involving optimization has been regarded as one of the areas it may prove to be advantageous (against classical computation). To further improve the quality of the solutions, post-processing techniques are often used on the results of quantum optimization. One such recent approach is the Multi Qubit Correction (MQC) algorithm by Dorband. In this paper, we will discuss and analyze the strengths and weaknesses of this technique. Then based on our discussion, we perform an experiment on how pairing heuristics on the input of MQC can affect the results of a quantum optimizer and a comparison between MQC and the built-in optimization method that D-wave Systems offers. Among our results, we are able to show that the built-in post-processing rarely beats MQC in our tests. We hope that by using the ideas and insights presented in this paper, researchers and developers will be able to make a more informed decision on what kind of post-processing methods to use for their quantum optimization needs.
Sustain our Variable Population Through Differential Evolution Algorithm and Agriculture Innovation

Agriculture is a subdivision that provides considerably to the business-related incident of our country. As the world's population grows, Agricultural production has overtaken all other industries as its most significant source of growth. Because the need for food was lower in the 1970’s due to a smaller population compared to today's population statistics, that think that the world's public will extend to 9.9 billion by 2050, humanity must plan for agricultural production to feed these exponentially growing numbers. Therefore, we need huge agricultural lands to produce the grains and crops necessary for the current population. But much of the formerly arable land has been abandoned during periods of drought, and due to poor planning and poor water management during the dry season, saving arable land from drought is inevitable. Making a structured plan for water management can be one solution to mitigating large amounts of farmland disappearing. Only 12% of the land can be used for agriculture, but we need to feed 9.9 billion people 70% more food by 2050. That's enough to feed 10 billion people (we're at 7.6 billion right now). Despite this excess, hunger persisted. So we have come up with the Differential Evolution Algorithm, which predicts the future population's food needs based on past and present agricultural data. This helps to solve hunger in the near future and also helps limit drought on land. This study aims to highlight the importance of agricultural information systems for agricultural development, identify the strengths and weaknesses of current systems, and provide recommendations for improving their performance. We will return to the results of previous studies on this issue. Finally, general conclusions about farm information systems are highlighted, suggesting implications for better farm information systems..
Digital Multimedia Tampering Detection for Forensics Analysis

In the virtual multimedia era, digital forensics is turning into a rising location of studies way to the huge quantity of picture and video documents generated. Ensuring the integrity of such media is of top-notch significance in lots of situations. This mission has end up extra complex, particularly with the development of symmetrical and asymmetrical community systems which make their authenticity tough. Consequently, it's far definitely vital to find out all feasible modes of manipulation through the improvement of latest forensics detector tools. For example, the symmetry and asymmetry inconsistencies associated with visible characteristic residences are capacity while carried out at a couple of scales and locations. We discover right here this subject matter and advocate a comprehensible smooth taxonomy and a deep assessment of the brand-new studies regarding multimedia forgery detection. Then, an in-intensity dialogue and destiny guidelines for similarly research are provided. This painting gives a possibility for researchers to apprehend the cutting-edge lively subject and to assist them broaden and examine their very own picture/video forensics approaches. Keywords: Digital forensics, Multimedia tampering, Image/video processing, Watermarking, pattern recognition, Active/Passive Tampering Detection
Host-Based Forensic – Analyzing Criminal Action Using Computer-Based Data

Computer forensic science is largely a response to a demand for service from the law enforcement community. As early as (1984), the federal bureau of investigation Laboratory and other law enforcement agencies began development programs to examine computer evidence. Currently the company is using delays to process the required information in an urgent time. Therefore, the main focus for the researcher is to analyze the computer forensic system and to come up with a new system. Therefore, the researcher will aim at analyzing the computer forensic activities in a data network in order to gather evidence of criminal activity that can be admissible in a court of law. This paper examines the analysis of criminal actions using host-based Forensic method. Keywords: Cybersecurity; Host-Based Forensic, Criminal Action, Computer-Based Data
Decentralized Finance Applications via Blockchain

After the global economic crisis in 2008, factors such as the declining trust in banks and large financial institutions, and the improvements of user experience due to technological developments gave rise to participation of new players and new initiatives in the finance industry. Thus, a new era has begun for the banking and finance sector, with increased interest in alternative banking and finance products, and new financial products using blockchain technology emerged in the portfolios of technology companies.&#x0D; Blockchain is an innovative technology that provides a reliable recording service via cryptography science, and that utilizes a distributed and decentralized database, which is open and transparent to all stakeholders; thereby enabling all parties to verify its integrity. This technology, by eliminating the need for a central authority and for intermediary platforms such as banks, not only reduces transaction costs, but also provides a fast, reliable and efficient new infrastructure and system. The main application of blockchain has manifested itself in financial instruments, primarily with the example of bitcoin, known as the first cryptocurrency, and then with other cryptocurrencies.&#x0D; In a world rapidly advancing on the path of digital transformation, the blockchain technology strives to become the junction point of data and economic asset transfer and the infrastructure of storage center. As a result of the widespread use of blockchain and the development of new applications such as "decentralized finance (DeFi)", whether or not these can replace traditional financial and banking systems, and the total locked value (TVL) held on these platforms, which is among the indicators of the hype in DeFi. forecasting TVL with the help of future artificial neural networks algorithms, is the subject of the evaluation of this study.
Lecture Transformation in Modern Higher Education

The relevance of the topic stems from the contradiction between the experience accumulated by higher school in adapting lecture as a form of organization of education to the new conditions of education functioning and the insufficient attention of researchers to analyzing this experience. The purpose of the study was to identify the role, place and directions of the lecture transformation in modern higher education. To achieve it, a meta-analysis of publications on the topic over the past ten years was carried out (2011–2021). In total, 52 scientific articles published in peer-reviewed leading domestic pedagogical journals and other scientific and methodological publications were analyzed. The selection of articles for analysis was carried out by the presence of the keyword “lecture” in the article title. The results of the study show that despite the wide variety and general availability of information and communication sources the lecture cannot be supplanted in the system of higher education, but new demands have been placed on it, as its role in the system of higher education changes. The authors have identified the main requirements for a modern lecture, namely problem setting, structure flexibility, focus on dialogic forms of communication with students, effective feedback. The leading trend in the development of lectures in a modern university is a combination of scientific character, information value and high professionalism inherited from traditional lectures with dialogue and a variety of lecture types, an increase in interactivity to enhance the educational and communication activities of students. It has been established that the transformation of a lecture in modern higher education goes in the following directions: organizational-content, functional-structural, and communication. The authors dwell on the content of each direction and propose prospective areas for further research.
Methods of Ordering in Computer Sciences and Information Technologies

The purpose of the article is to analyze the known methods of ordering in computer science. The research methodology consists of methods of ordered pairs, relations, Gödel numbering, and Glushkov’s system of algorithmic algebras. The scientific novelty is to create a method of both description and transformation of orders. Conclusions. In the methods of ordered pairs, relations, Gödel numbering, mathematical logic, Post and Turing machines, and the modified system of Glushkov’s algorithmic algebras there is no possibility of equivalent transformations of orders which are available in algorithms.
Use of Neural Networks in Voice Commands Recognition

The purpose of the article is to research, analyze and consider general problems and prospects for the development of voice command recognition systems using the capabilities of neural networks, using the latest neural network technologies. The research methodology consists in methods of semantic analysis of this subject area’s basic concepts (voice command recognition systems). The existing systems and recognition algorithms are considered in the article. The scientific novelty of the research is the analysis of modern voice recognition systems, the results of which can be used in the development of their own recognition system based on the use of improved speech models and recurrent neural network learners. Conclusions. The efficiency of using neural networks for voice command recognition tasks is proved. Based on the research, a speech recognition system based on neural networks has been developed using an improved speech model.
Employee attendance system based on facial recognition

In this digital era, authentication plays a vital role in almost every sector. From every office related employee to students in educational institutions, authentication is widely used and practiced regularly. Some of the widely used authentications are face recognition, fingerprint recognition, card validation, etc. Face recognition is one of the most used bio-metrics. It can be used for security, authentication, identification, and has got many advantages over other authentication. The current method that institutions and corporate companies uses is the attendance sheet which is signed by the employees and students in their respective institutions. This method sometime disturbs the discipline of the work environment. It is quite a tedious and time- consuming process. There is a need to implement better biometric verification in these institutions that can solve the issue of proxy and time management. But the systems are currently not popular. The solution to these problems is machine learning. Machine learning has attracted huge attention due to its exemplary unique performance and solving a number of complex problems. Due to its training techniques, this technology gained a lot of attention. By using machine learning training method, the image processing has been introduced.
INTEGRATED MODEL OF MATHEMATICS PROBLEM SOLVING ADAPTED TO A STUDENT WITH AUTISM SPECTRUM DISORDER

"Mathematics problem solving is one of the main axes of mathematical activity and is the cornerstone of mathematics education, so it should be the main source and support of learning throughout Primary Education. Caballero et al. (2009, 2016, 2020) y Blanco et al. (2015) presents an Integrated Model of Mathematics Problem Solving (IMMPS) that integrates cognitive and affective aspects. The efficacy of this model has been empirically contrasted in teachers in initial training (Caballero et al., 2011, 2021; Blanco et al., 2013), wondering if it would be equally valid in students with certain learning difficulties. That is why in this proposal we present an intervention carried out around Mathematics Problem Solving with a student in the first year of Primary Education with Autism Spectrum Disorder. In this proposal, the Integrated Model of Mathematics Problem Solving (IMMPS) has been adapted to this type of disorder. IMMPS is composed of five phases in which emotional management techniques and heuristics for Mathematics Problem Solving are integrated. It is a single case study, where the subject of study has been selected through a non-probabilistic discretionary or judgmental sampling. The conclusion is that the student is able to carry out a more elaborate and complete process of Mathematics Problem Solving, using different heuristics. However, they do not put into practice the techniques of emotional control in the face of nerves or blockages arising in the resolution of Mathematics Problem Solving."
EDUCATION-TO-GO IN THE FUTURE IN DEVELOPING COUNTRIES?

"Many typically good paying jobs have not yet recovered to the pre-pandemic level in many countries. On the other hand, due to the use of many digital technologies to order, store and deliver goods during the pandemic, many professionals were and are still needed for creating computer applications, data management and in analytics (aside from blue collar workers needed in call centers, warehouses, and delivery services). However, not many people are qualified because there were not many careers created in those fields mainly in developing countries. Despite that, the current demand for this type of talent is high. Therefore, many higher education institutions and small colleges may take the opportunity and offer the essentials of basic higher education and training needed for some of those jobs. Some younger individuals might not want to go back and be confined in a classical classroom after having tasted the “freedom of virtual education” which could even be accessed through a cell phone anywhere and at any time. This could be the beginning of Education-To-Go schools all around the world but mainly in underdeveloped countries, an education which would be affordable, quick, and very specific and aiming to certify some professional skills. This education would be tailored to fit the needs for the vacancies that are urged for the market to fill. Mainly the schools which would prepare those young adults could hire fewer teachers who would prepare or assemble the course materials and make them available on the school websites. This practice on the other hand will contribute to the “uberization of education” and drastically change the number of teacher-to-student ratios. In this paper the possibility of Education-To-Go in Mexico is analyzed considering the economic sectors which could possibly grow in the coming years matching them with the competencies needed. The analysis is carried out using quality control tools such as Ishikawa and Pareto Diagrams. There are scenarios in which it is a possibility, and the country could even export some of the trained people, mainly to the United States. Specialization through the teaching of specific competencies could be possible in some countries like Mexico in the post-pandemic era."
Pendampingan Orang Tua dalam Penggunaan Literasi Media Belajar Anak Sekolah Dasar di Sungai Kapas

Parents have an important role in guiding each of their children’s development, especially in choosing children’s learning literacy media during the COVID-19 pandemic. This is so that the time given to study from home can be used as well as possible. This mentoring activity was carried out in Sungai Kapas village. The method applied is service learning which consists of planning, implementation and evaluation. There were 15 participants who took part in this activity. The results of the service evaluation show that parents who realize the importance of accompanying their children in choosing literacy sources are 100%. Then the parents who are ready to accompany their children in completing their learning tasks are 85%. This shows that parental assistance for the use of learning media literacy for elementary school children in Sungai Kapas has a good effect. Parents increase their knowledge and awareness to pay attention to their children when learning. The commitment to provide assistance to children is the key to the success of the role of parents in monitoring children’s learning development during the COVID-19 pandemic by choosing learning literacy media that are appropriate for their age. The success or failure of children in understanding the material assigned by the school during learning from home is strongly influenced by parents.
Treping System (New Trebit for Bookkeeping System): Implementasi Triple Entry Accounting dalam Sistem Entitas Pendidikan

ABSTRACT&#x0D; Quality education will be the foundation of the government's efforts to encourage the achievement of sustainable development goals and targets in the 2030 Sustainable Development Goals (SDGs) era. One aspect in the education sector that plays an important role in realizing these goals is the use of an appropriate accounting system. The purpose of this study is to analyze the implementation of the triple entry bookkeeping on the accounting system in educational entities. The implementation is considered to have several positive impacts, including: (1) Providing budget information; (2) Automatically validate transactions; (3) Providing an integrated public ledger; and (4) Increase trust and transparency. This research was used library research. The data obtained were analyzed using descriptive analysis techniques with a deductive mindset. The proper and accurate application of triple entry bookkeeping will fundamentally minimize the fault, reduce internal fraud and improve operational efficiency of educational entities as well as improve operational efficiency of educational entities.&#x0D; ABSTRAK&#x0D; Pendidikan berkualitas akan menjadi tumpuan upaya pemerintah dalam mendorong tercapainya tujuan dan sasaran pembangunan berkelanjutan dalam era Sustainable Development Goals (SDGs) 2030. Salah satu aspek di sektor pendidikan yang berperan penting untuk mewujudkan tujuan tersebut adalah penggunaan sistem akuntansi yang tepat guna. Tujuan dari penelitian ini adalah untuk menganalisis implementasi triple entry bookkeeping terhadap sistem akuntansi dalam entitas pendidikan. Implementasi tersebut dinilai akan menghasilkan beberapa dampak positif antara lain: (1) Menyediakan informasi anggaran; (2) Memvalidasi transaksi secara otomatis; (3) Menyediakan public ledger yang terintegrasi; dan (4) Meningkatkan kepercayaan dan transparansi. Penelitian ini menggunakan metode kepustakaan (library research). Data yang diperoleh dianalisis dengan teknik deskriptif analisis dengan pola pikir deduktif. Penerapan triple entry bookkeeping dengan tepat dan akurat, secara fundamental akan meminimalisir resiko kesalahan, mengurangi penipuan internal dan meningkatkan efisiensi operasional entitas pendidikan serta meningkatkan efisiensi operasional entitas pendidikan.
The Discrete Fourier Transform in 2D

AbstractThe Fourier transform is defined not only for 1D signals but for functions of arbitrary dimension. Thus, 2D images are nothing special from a mathematical point of view.
THE USING OF ANIMATION MOVIES MEDIA IN IMPROVING THE STUDENTS’ WRITING SKILL AT THE TENTH GRADE OF SMA NEGERI 4 PEMATANGSIANTAR

The purpose of this research was to find out the effect of Using Animation Movies in Improving the Students’ Writing Skill at the Tenth Grade of SMA N 4 Pematangsiantar. This research was conducted with quantitative content analysis method. The sample of this research were 71 students that get from tenth grade especially in social class with using two class where 35 students from the control class and 36 students from experimental class which the populations were 105 students. The data of this research is the writing test students’ writing skill of narrative text that collect with pre-test and post-test. Then the result of this research wasthe score of pre-test and post-test experimental class that give an animation movies media is higher from control class where the pretest control score &lt; 1970 (pretest of experimental) and posttest control 2118 &lt;2380 (posttest of experimental) with the hypothesis,tcount (6.407) &gt;ttable (1.994) at the significance level α=0,05 with the degress of freedom (df) = 34. So, Ho is rejected and Ha is accepted. It could b e conducted that the using of Animation Movies Media effect Significantly in improving the students’ Writing Skill at the tenth grade of SMA Negeri 4 Pematangsiantar
THE USE OF VIDEO METHOD TO IMPROVE STUDENTS’ WRITING ABILITY OF PROCEDURE TEXT AT THE EIGHTH GRADE STUDENTS OF SMP SATRYA BUDI PERDAGANGAN

The objective of this research was to find out the effectiveness of using video method to Improve Students’ Writing Ability of Procedure Text at the Eighth Grade Students of SMP Satrya Budi Perdagangan. The design of this study was quantitative research where the writer using pre-test and post-test. The population of this research which consisted of three classes with total number 100 students where the writer will take the sample in VIII-1 which consist of 30 students. The data were obtained by using pre-test and post-test, the pre-test was given of the students before the treatment and the post-test was given after the treatment. The result of the research shows that the difference in writing ability between the students taught without video and the students taught by using video is very significant. There was increasing on the students’ ability in writing procedure text between pre-test and post-test. It showed with the pre-test data was 1487 and the mean 49,57 and after the treatment, post-test data was 2322 and the mean 77,4 and the result of standart deviation between pre-test and post-test was 34,53. So, Hypothesis Alternative (Ha) was accepted and Hypothesis Null (Ho) was rejected. It means that teaching by using video method in writing procedure text gave a significant increase toward students at SMP Satrya Budi Perdagangan