Reviewerly/exHarmony huggingface dataset:
Design of Innovative Pedagogical Systems on Interdisciplinary Basis

The urgency of the problem raised in the article is determined by: evolutionary trends in education related to the need to design prospects for its development on an innovative basis; undeveloped conceptual foundations of designing innovative pedagogical systems on an interdisciplinary basis, reflecting the dialectical unity of theoretical and technological aspects of the design process; increasing the requirements for the quality of design activities in the process of preparation for practical implementation and improvement of innovations; insufficient development of the technological and methodological apparatus for measuring and evaluating the effectiveness of the process of designing innovative pedagogical systems on an interdisciplinary basis; the need to create an infrastructure for pedagogical design and accumulation of a database of pedagogical projects. The research was conducted as a project study (DBR) for three years (2017-2020) using mixed methods: unstructured interviews, the method of expert evaluations (based on the method of pairwise comparison), qualimetric methods of assessing the quality of pedagogical projects, statistical methods of data processing and testing hypotheses. The study showed that the effectiveness of the design of innovative pedagogical systems on an interdisciplinary basis is ensured by the creation of an external information and educational environment for the design of innovative systems and monitoring of design activities. In terms of content, they reflect the main provisions of the study and provide its experimental verification. The study developed an instrument for expert evaluation of projects of innovative pedagogical systems on an interdisciplinary basis, covering the project presentation scheme, summative and prognostic criteria of examination in socio-pedagogical, psychological and pedagogical, scientific and methodical, managerial and technical areas, methods of project quality assessment. The conclusions and recommendations of the study can be the basis for improving the educational process in educational institutions, as well as the development of pedagogical design practices.
Learning Resources: Online Safety & Security: Further Advice

In this section we will look at Online Security, Online Safety, Radicalisation and Extremism
A New Paradigm of Learning through Information Management Systems in Higher Education

Purpose: The study aims to address the low student motivation in learning and the lack of creativity, especially during lectures. Design/Methodology/Approach: The research used the qualitative descriptive research approach to determine the effectiveness of learning through an online instructional system. The participants comprised of 145 students of the Educational Administration study program. Practical Implications: The research findings indicated students’ increased interest in conducting the discussions with the lecturers and the other students, proving the effectiveness of information systems in learning. With the challenges associated with mobility coupled with the convenience information systems present like almost unlimited access to academic information, the future of education will be inseparable from information systems. Before the current situation, online learning thought it had been around for years, it was unpopular, mostly it was used in developed countries, but currently, the abrupt global confinement has led to online schooling and learning as a new norm at a national level and also turning out to be a global trend, influencing the mode of learning and delivery in developing countries, such as Indonesia. Originality/Value: There are several studies conducted on information management systems in higher education learning, but its adoption in mainstream learning systems in higher education has been treated with reservations’ policymakers in many countries. This study's value is to draw more attention to the empirical proof effectiveness of these systems in higher learning to stimulate policy shifts towards its adoption as mandatory mainstream learning systems even after the social lockdown measures are currently gripping the world.
Forensic Analysis of the Nintendo Switch

In this thesis, we did a forensic analysis of a Nintendo Switch gaming console. It is both a portable and a stationary device, which makes it so that it could contain valuable information about the ...
Reducing Overfitting Problem in Machine Learning using L1/4 Activation Function

Machine learning has various applications.Machine learning model has two problems.Overfittingand Underfitting.Underfitting is a statistical model or a machine learning algorithm,it cannot capture the underlying trend of the data.A statistical model is said to be overfitted, when it is trained with a lot of data.When model has trained on fewer features, the machine will be too biased, and then the model gets underfitting problem.So, it is needed to train the model on more features and there is one more problem occurs.Overfitting problem can be reduced by using regularization functions and data augmentation.In the previous research on activation functions, Hock Hung Chieng Proposed an activation function called Flatten-T Swish: a thresholdReLU, which is a multiplication of Relu and sigmoid function.
Advanced Korean Language Learners’ Perception of Korean Writing Class - Targeting the Learners Aiming for College Admission -

The objective of this study is to suggest the future direction of effective Korean writing education for advanced Korean language learners aiming for college admission by analyzing their perception, evaluation, and expectation of writing study in Korean class hours.For this, this thesis conducted a surveyed on difficulties in writing study, and writing process targeting total 30 advanced Korean language learners residing in Korea.In the results, the advanced learners' goal of learning Korean language was desperate.Due to the grammar-centered writing education in the education site, the learners wanted the education for writing suitable for discourse structure, and understanding the types, forms, and structure of writing.Also, currently, the class was focusing on the results of writing, so that the learners were interested in the activity of writing process.The foreign learners who aim for college admission, should cultivate an ability to enhance each individual's thinking skills based on the primary purpose of college scholastic ability, an ability to mutually adjust their own opinions with others, and an ability to have an insight for oneself.Thus, in order to provide the education for the successful improvement of their writing skills in the site of Korean language education, it would be necessary to understand the learners' perception and needs of writing.
COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION

Data imbalance occurs when the amount of data in a class is more than other data. The majority class is more data, while the minority class is fewer. Imbalance class will decrease the performance of the classification algorithm. Data on IUD contraceptive use is imbalanced data. National IUD failure in 2018 was 959 or 3.5% from 27.400 users. Synthetic minority oversampling technique (SMOTE) is used to balance data on IUD failure. Balanced data is then predicted with neural networks. The system is for predicting someone when using IUD whether they have a pregnancy or not. This study uses 250 data with 235 major data (not pregnant) and 15 minor data (pregnant). From 250 data divided into two parts, 225 training and 25 testing data. Minority class on training data will be duplicated to 1524%, so that the amount of minority data become balanced with the majority data. The results of predictive with an accuracy rate of 99.9% at 1000 epoch.
Culture of media consumption of learners: ways of formation in educational space

М. А. Ерофеева, С
Information and Analytical Support of Cost Control in Animal Feed Production

The subject of the study is the current approaches to the organization of cost management in agricultural enterprises.The purpose of the study is the formation of an integrated approach to building a cost management system in feed production taking into account the specifics of the enterprise.The article considers the key modern approaches to the formation of the cost control system and its information basis.As a result of the study, the main components of the concept of cost management for the production of animal forage at a closed-loop agricultural production enterprise were identified.The data presented indicate the need for an integrated approach to the information and analytical support of cost management, starting from the choice of the method of cost accounting, calculating the production cost, determining the target cost, and ending with the formation of management statements to analyze production efficiency.The paper presents the calculation of target cost indicators based on the target-costing and kaizen-costing systems and defines a list of the main forms of management statements of an agricultural enterprise.
Research Guides: MSU Library Omeka Exhibitions: FAQs

Online exhibits showcase MSU's Special Collections in an appealing and organized fashion. MSU Library hosts Omeka classic for use by MSU students and faculty to create stand-alone online exhibits highlighting their research
Multinoise-type blind denoising using a single uniform deep convolutional neural network

Deep convolutional neural networks (CNNs) have achieved considerable success with image denoising. However, they still lack consistent performance across different noise types and levels. We extend noise scenarios to four categories: Gaussian, random-impulse, salt-and-pepper, and Poisson. We also propose a multinoise-type blind denoising network (MBDNet) that solves the blind denoising task using a uniform deep CNN architecture. The network can be divided into two stages where a concise CNN is first used to estimate auxiliary noise-type and noise-level information. Estimation results are then integrated as additional channels of the noisy image and are fed to the subsequent denoising stage. A unique two-branch structure is further adopted in the residual denoising CNN, wherein a shallow branch predicts the filter-flow mask and adaptively adjusts the feature extraction of the parallel deep branch. Extensive experiments on synthetic noisy images validate the effectiveness of the noise-estimation and denoising subnetworks and show that MBDNet is highly competitive as compared to state-of-the-art methods in both denoising performance and model runtime.
Application of K-Means Clustering Method for City Grouping on Food Plant Productivity in North Sumatera

The development of population increases every year, causing food needs to expand to meet food needs by increasing food crop productivity so that food availability can be sufficient. Food crops consist of rice, corn, green beans, peanuts, cassava, and sweet potatoes. Productivity in each region has different characteristics, and therefore it is necessary to group the areas so that solution can be implemented by each of the components of the region. The purpose of this study is to group districts/cities in North Sumatera Province based on food crop productivity using the k-means clustering method. Clustering k-means is a method of grouping non-hierarchical data that attempts to partition existing data into one or more clusters or groups so that data that has the same characteristics are grouped into one same characteristic are grouped into other groups. The result of this study is the formation of 3 city district clusters, namely, cluster 1 amounting to 1 regency/city, cluster 2 totaling seven districts/cities, and cluster 3 totaling 25 districts/cities.
Designing the maritime digital compass repeater hardware and its controlling algorithm

Designing the maritime digital compass repeater hardware and
PENERAPAN METODE REWARD AND PUNISHMENT TERHADAP MOTIVASI BELAJAR SISWA SMK NEGERI 4 KOTA BENGKULU

The aim ofimplementation of reward and punishment method is to increase students’ learning motivation in class XI of Software Engineering, specifically at object-oriented programmers subjects with sub-subject of website creation using wordpress in SMKN 4 of Bengkulu City. This study is qualitative descriptive research, while subject used in this study is student class XI Software Engineering in SMKN 4 Bengkulu. Data collection is carried out by interviews, observation, questionnaires and documentation. The result of study shows that the implementation of reward and punishment method have been implied very well by the teachers at this subject so that it is able to improve students’ learning motivation in completing assignments to create website by using wordpress.
PENGARUH KUALITAS INFORMASI AKUNTANSI MANAJEMEN TERHADAP PENGAMBILAN KEPUTUSAN INVESTASI ( STUDY KASUS PADA PT INKENAS AGUNG)

Management accounting is an accounting process which provides data and information for several parties, Manager will need a data that aims to ensure that the division in which he is responsible will work according to the expectations and goals of the company. Therefore the quality of management accounting information is very important. In this study, researchers aimed to find out how much influence the quality of management accounting information on investment decision making. The object of this research is the food company PT. Inkenas Agung and its research population are employees of the company PT Inkenas Agung and the same is the company's managers and staff. The research methodology is a quantitative method by testing the data using a classic assumption test with data processing using the SPSS25 application. The results of this study are the quality of management accounting information significantly influence investment decisions at PT Inkenas Agung. With the results of research and data processing with the T test the significance value is 0.047, the figure shows that the sig value of this variable is smaller than the value of a (alpha) of 0.05 (value of t arithmetic = 0.330 with the resulting probability value = 0.047<0.05).
Impacto da prática de mindfulness na intensidade dos sintomas de ansiedade

Mindfulness can be described as a full state of consciousness which consists of pay attention with no judgement on what is taking place here and right now. This article aims to display the findings of a research conducted to find the impact of the practice of mindfulness techniques on the level of anxiety symptoms on those who took part in it and also what is the participant's perception about the mindfulness techniques. A qualitative research method was chosen to carry out the research. Individuals interviews were made by video calls through WhatsApp. Took part in this research four women based in Tubarao - Santa Catarina, Brazil, who had experienced the practice of mindfulness techniques in the past years. The results obtained in this research indicate that mindfulness techniques allow practitioners to deal better with life's setbacks, reducing levels of anxiety.
Research Guides: Tri-C Libraries Circulation Information: Book Pickup and Returns

Contains information about loan periods, book pickup and returns, borrowing OhioLINK material, and course reserves
LibGuides: Early Literacy: Home

This LibGuide provides resources for parents and students involving the five practices of early literacy: singing, talking, reading, writing and playing.
LibGuides: Introduction to Academic Writing for Graduate Students: Library FAQ

Research and library resources for students taking ESL/Wr 107, Wr 109 and SEC 111 at Caltech.
Study on Treatment Method of Solar Azimuth Inflection Point based on Fitting Equation

The solar tracking equipment can carry out the real-time tracking according to the position of the sun, but the inflection point may occur during the calculation process of the solar azimuth. By fitting the curve at the inflection point, the fitting equation is obtained, and the mathematical model at sunrise and sunset as well as the inflection point is established to further optimize the fitting equation. In the engineering application, the moment when the inflection point appears can be obtained according to the fitting equation, in order to find the correct solar azimuth. The research results show that the maximum error of the solar azimuth calculated by this method is less than 0.25° by taking the solar position in Nanjing area (32.00°N) as an example, together with its simple calculation, achieving great convenience for the calculation of the solar azimuth in engineering applications.
ORCID iDs in CentAUR

ORCID functionality has been added to CentAUR, our institutional repository. This means that you will be able to link your ORCID iD to CentAUR. Once you complete this process, your ORCID record will attempt to confirm your employment at University of Reading and you will be able to import and export publications between the repository and your ORCID record. If you do not already have an ORCID iD, you will be able to sign up for one using the functionality that has been added to the repository. ORCID is an open, not-for-profit, community-based initiative to provide researcher identifiers that enable a wide range of improvements to the scholarly communications ecosystem. University of Reading is a member of the UK JISC ORCID consortium.To find out more about the benefits of ORCID identifiers, visit the University of Reading LibGuide on ORCID. See 'Related URLs' for links to the LibGuide and to the ORCID website.
Humans and justice machines: Emergent legal technologies and justice apps

Changing and emerging legal technologies have had, and will continue to have, a significant impact on the evolution of the justice system by assisting to inform, support and advise participants (supportive technologies), by replacing activities and functions that were previously carried out by humans (replacement technologies), and by significantly changing processes (disruptive technologies).1 Many of the technologies being developed have overlapping purposes and functions.
Information and communication technologies in education: advantages and disadvantages

Key words: crea vity, crea ve skills, ontological studies of the language, crea vity of the language, dynamic model of the language reality.The current role of education should be tailored to the current societal development to train and encourage individuals and professionals who can ask novel questions that improve or overturn existing knowledge as well as those who can answer them to benefit science and society at large.The value of education should no longer be mastery of subject, the education system needs to be revamped to bring out creativity among students, encourage creative thinking and train creative minds.Ontological studies of the language reveal its creative nature and offer new important insights into fostering creative skills in students by means of developing the creative way of thinking and nurturing the individual original outlook. Kolodovskaya Elena A.
An analysis on External and Internal factors Influencing Students English Learning Achievement” (A descriptive study at the first grade of SMP NUSA PlusCipondoh Kota Tangerang).

HikmatulIslamiah, 122301390, 2017, “An analysis on External and Internal factors Influencing Students English Learning Achievement” (A descriptive study at the first grade of SMP NUSA PlusCipondoh Kota Tangerang). Skripsi (Ungraduated Research Paper, English Education Department Faculty of Education and Teacher Training, The State Islamic University “Sultan MaulanaHasanuddin” Banten). My Advisor (I) : Dr. H. WawanWahyudin, M.Pd . (II) Moh. Nur. Arifin, S.Ag. M.Pd,ABSTRACTlearning is a “process” that will leave a result of those experiences, With the students' learning activities can have a room called a process to determine how much ability they have, but with the process students also can hone their abilities, so long as they learn that will produce results.And it is clear, in here that learning is astudents experience towards the changes that pass through certain processes.This research was conducted at SMP Nusa Plus, the number of students is 20 students. To know the external and internal factors that influencing student’s achievement in English Learning (conversation). I gave them (20 items) questionnaire and analyzed the result. Result of the manipulation os statically calculation indicated that students of SMP Nusa Plus is 32,5% is exellent, 40% is good. 17,5% is fair and 10% is poor. The students mastery in English Learning is good enough, but most of them is good less. It means that the fact any factors for teaching and learning process. The student difficulty inEnglish learning (conversation)by some factors such as for the teacher, students and school (external and internal factors). The factor from the teacher are like; The teacher are less communicative in teaching, the teacher speaks to fast and the teacher less uses media which will motivate the students to study based oin the contextual environment. The problem from the students are like; the students do not pay attention to the lesson, lazy to study and the students have low motivation. The problem from school does not give extra to study English out side the school hours, the school less facilities (language laboratory), the school suggested that English teacher should try to improve their mastery of English and method of teaching languange. Teacher should be able to convice their students to improve their performance in academic achievement so as tomake students master English well. The students must pay attention and study harder in learning and teaching process. The school complete facilities involving books and teaching media needed in teaching learning process, so the teaching and learning process is more interesting
Comparison of Matrix Factorization and Graph Based Models for Summay Extraction

Both Matrix Factorization Based and Graph Based Models are unsupervised models for extracting summary from text documents.As training phase is not required for both these methods , they are extremely fast.Both these methods construct an intermediate representation of text document and use it to assign a score to each sentence present in the text document.In this paper we discuss the underlying concept behind both the methods and compare them on quality of summary extracted.
Research Guides: Capturing Video Clips from Library Databases and Other Sources: Using Films on Demand

This guide shows methods of capturing video clips from library databases, such as Films on Demand, as well as other online, streaming sources and physical media.