Reviewerly/exHarmony huggingface dataset:
Bayesian equation selection on sparse data for discovery of stochastic dynamical systems

Often the underlying system of differential equations driving a stochastic dynamical system is assumed to be known, with inference conditioned on this assumption. We present a Bayesian framework for discovering this system of differential equations under assumptions that align with real-life scenarios, including the availability of relatively sparse data. Further, we discuss computational strategies that are critical in teasing out the important details about the dynamical system and algorithmic innovations to solve for acute parameter interdependence in the absence of rich data. This gives a complete Bayesian pathway for model identification via a variable selection paradigm and parameter estimation of the corresponding model using only the observed data. We present detailed computations and analysis of the Lorenz-96, Lorenz-63, and the Orstein-Uhlenbeck system using the Bayesian framework we propose.
Potential of the Educational Process: Relationships between Participants as a Factor

The presented study addresses the problems of managing the relationships between the participants of the educational process. The study uses analysis of statistical data, publications in mass media, expert assessment, and general scientific methods (analysis, synthesis, induction, deduction) to identify changes in the status of the participants of the educational process that affect the development of their relationships. It is established that the importance of school education results decreases while the value of education in modern society grows. The quality of school education can be improved through the transition from subject-object relationships between the participants of the educational process to inter-subject relationships.
A study on human intelligence using Fuzzy Grey Relational Maps (FGRMs)

Abstract Fuzzy-grey system is an ambiguous system where unclear, incomplete and only small data is available. Fuzzy Grey relational maps model the causal relation between complex systems. In this fuzzy model, the nodes are fuzzy while the edges are grey and they represent the grey causal relationship between two disjoint sets of concepts. Intelligence is one of the most admired and coveted features of human mind for, human intelligence has played a greater role in placing human beings at the top of the evolutionary pyramid of creation. Intelligence is widely accepted as hereditary, but at the same time there are researches going on to prove that it is also influenced by the beliefs the individual holds. In this paper, the causal influence between intelligence and self-beliefs is studied using Fuzzy Grey relational maps.
Using Archivers Within MOEAs

As discussed above, all of the strategies presented in this book can be used jointly with in principle any set-based multi-objective search algorithm, either as an external archive to the base algorithm, or directly as part of the selection process. In order to maintain the convergence properties of the chosen archiving strategy, it is important to assure that assumption ( 4.1 ) on the process to generate new solutions is satisfied.
Statistical analysis on long-term change of jitter component on continuous speech signal*

In this study, a method for measuring the jitter component in continuous speech is presented.In the conventional jitter measurement method, pitch variabilities are commonly measured from the sustained vowels.In the case of continuous speech, such as a spoken sentence, distortion occurs with the existing measurement method owing to the influence of prosody information according to the sentence.Therefore, we propose a method to reduce the pitch fluctuations of prosody information in continuous speech.To remove this pitch fluctuation component, a curve representing the fluctuation is obtained via polynomial interpolation for the pitch track in the analysis interval, and the shift is removed according to the curve.Subsequently, the variability of the pitch frequency is obtained by a method of measuring jitter from the trajectory of the pitch from which the shift is removed.To measure the effects of the proposed method, parameter values before and after the operations are compared using samples from the Kay Pentax MEEI database.The statistical analysis of the experimental results showed that jitter components from the continuous speech can be measured effectively by proposed method and the values are comparable to the parameters of sustained vowel from the same speaker.
A Study on Self-medication for Health Promotion of the Silver Generation

With the development of medical care in the 21st century and the rapid development of the 4th industry, electronic devices and household goods taking into account the physical and mental aging of the silver generation have been developed, and apps related to health and health are generally developed and operated. The apps currently used by the silver generation are a form that provides information on diseases by focusing on prevention rather than treatment, such as safety management apps for the elderly living alone and methods for preventing diseases. There are not many apps that provide information on foods that have a direct effect and nutrients in that food, and research on apps that can obtain information about individual foods is insufficient. In this paper, we propose an app that analyzes food factors and provides self-medication for health promotion of the silver generation. This app allows the silver generation to conveniently and easily obtain information such as nutrients, calories, and efficacy of food they need. In addition, this app collects/categorizes healthy food information through a textom solution-based crawling agent, and stores highly relevant words in a data resource. In addition, wide deep learning was applied to enable self-medication recommendations for food. When this technique is applied, the most appropriate healthy food is suggested to people with similar eating patterns and tastes in the same age group, and users can receive recommendations on customized healthy foods that they need before eating. This made it possible to obtain convenient healthy food information through a customized interface for the elderly through a smartphone.
Conceptual Design of COD-E Humanoid Robots

The conceptualizing process plays an important role in assisting designers’ creativity in form and styling development. It contributes to representing the cultural elements before product transformation, which has a limited investigation. This research aims to identify the metaphorical form element that conveys the brain impaired as factors of selection and defining form development of the humanoid robot embodiment. Design Protocol Analysis obtains to into design linguistic interpretations and synthesizing design based on perceptual product experience. Findings have outlined the theory of metaphorical form element selection and identification that could represent brain impaired product in assisting humanoid robotic acceptance among autism. Keywords: Design-Inspire; Humanoid Robot; Children with Autism; Design Protocol Analysis. eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bsby e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI3.2534
MoSen: Activity Modelling in Multiple-Occupancy Smart Homes

Smart home solutions increasingly rely on a variety of sensors for behavioral analytics and activity recognition to provide context-aware applications and personalized care. Optimizing the sensor network is one of the most important approaches to ensure classification accuracy and the system's efficiency. However, the trade-off between the cost and performance is often a challenge in real deployments, particularly for multiple-occupancy smart homes or care homes. In this paper, using real indoor activity and mobility traces, floor plans, and synthetic multi-occupancy behavior models, we evaluate several multi-occupancy household scenarios with 2-5 residents. We explore and quantify the trade-offs between the cost of sensor deployments and expected labeling accuracy in different scenarios. Our evaluation across different scenarios show that the performance of the desired context-aware task is affected by different localization resolutions, the number of residents, the number of sensors, and varying sensor deployments. To aid in accelerating the adoption of practical sensor-based activity recognition technology, we design MoSen, a framework to simulate the interaction dynamics between sensor-based environments and multiple residents. By evaluating the factors that affect the performance of the desired sensor network, we provide a sensor selection strategy and design metrics for sensor layout in real environments. Using our selection strategy in a 5-person scenario case study, we demonstrate that MoSen can significantly improve overall system performance without increasing the deployment costs.
How to Improve College English Teachers’ Teaching Skill

This paper focuses on college English teachers’ self-improvement of teaching skills, first it describes the present condition of English teaching at colleges, and then presents methods how to improve College English teachers’teaching skill from five aspects, such as: dialogue with yourself, solicit feedback from your students, improve yourself, sharpen your improvisation skills and plan well for next time, in a word, we can go further in teaching only if we prepare well in advance by improving our teaching skills.
Subject Guides: Featured Ebooks: eTextbooks

Lists of E-Books, Artwork, and other resources you can find online for when you're not on campus.
DAIL: Dataset-Aware and Invariant Learning for Face Recognition

To achieve good performance in face recognition, a large scale training dataset is usually required. A simple yet effective way to improve recognition performance is to use a dataset as large as possible by combining multiple datasets in the training. However, it is problematic and troublesome to naively combine different datasets due to two major issues. First, the same person can possibly appear in different datasets, leading to an identity overlapping issue between different datasets. Naively treating the same person as different classes in different datasets during training will affect back-propagation and generate non-representative embeddings. On the other hand, manually cleaning labels may take formidable human efforts, especially when there are millions of images and thousands of identities. Second, different datasets are collected in different situations and thus will lead to different domain distributions. Naively combining datasets will make it difficult to learn domain invariant embeddings across different datasets. In this paper, we propose DAIL: Dataset-Aware and Invariant Learning to resolve the above-mentioned issues. To solve the first issue of identity overlapping, we propose a dataset-aware loss for multi-dataset training by reducing the penalty when the same person appears in multiple datasets. This can be readily achieved with a modified softmax loss with a dataset-aware term. To solve the second issue, domain adaptation with gradient reversal layers is employed for dataset invariant learning. The proposed approach not only achieves state-of-the-art results on several commonly used face recognition validation sets, including LFW, CFP-FP, and AgeDB-30, but also shows great benefit for practical use.
Image Features Anonymization for Privacy Aware Machine Learning

Data privacy is a major public concern in the digital age, especially image data that provides a large amount of information. The wariness about the use of image data affect the sharing and publication of these data. In this context, Differential Privacy is one of the most effective approaches to preserve privacy. However, the scope of Differential Privacy applications remains very limited (e.g. structured data) and focuses on a straightforward approaches (e.g. image anonymization). In this study, we investigate and evaluate an approach that anonymize image feature using a PCA-based differentially private algorithm. We show that Differential Privacy can be more effective once it is introduced after feature extraction. Using this approach, we show that the image re-constructor and facial recognition models are fooled within specified conditions. We believe that our study will significantly motivate the use of Differential Privacy techniques to anonymize image features, which may lead to increase data sharing and privacy preservation.
A Mobile Instant Messaging (MIM) Application as a Tool of English Interaction in the Korean EFL Context

With the rapid development of mobile technology, mobile devices such as mobile phones, iPads and tablets provide people with a versatile platform for individual learning and communicating anytime and anywhere. In particular, there is an expectation that smartphones including mobile instant messaging (MIM) applications can offer more opportunities for Korean university students to interact in English with others. This study aimed to explore how Korean students communicate in English through the MIM application with other Koreans or English dominant participants and Korean students'' perceptions of English communication using that interactive platform. This study adopted a mixed-method approach including surveys, message observations and semi-structured interviews. It focused on a qualitative case study approach to investigate how Korean students participate in English communication via the MIM application. The findings of the study revealed that students perceived that English interaction through the MIM application was a positive experience to use English in daily lives and effective for their English learning. Pedagogical implications for how communicative interactions in English via a MIM application can assist in English language learning and how to implement a better communicative context using a MIM application are discussed.
The elements of information competence of a future engineer formed in the process of studying fundamental disciplines

Within the framework of studying fundamental disciplines, an educator, from the perspective of competence approach, provides not only theoretical training, but also cultivates the corresponding personality traits. Professional competences can be reasonably divided into the basic &amp;ndash; common to all engineering specialties, acquired at the initial stages of educational process; and specific &amp;ndash; formed in the course of special disciplines. The goal of this research is to determine, on the basis of analysis of the concept of information competence, its elements developed in the process of studying natural scientific disciplines. The task is set to outline the criteria and indicators of the level of formedness of information competence of future engineers in the process of studying fundamental disciplines. The scientific novelty of this work consists in determination of the elements of information competence of a future engineer developed in the process of studying fundamental disciplines, as well as description of the criteria and indicators of the level of formedness of information competence, characteristics of the low, average, sufficient, and fairly high levels of formedness of such competence in the process of studying natural scientific disciplines.
Chinese Grammatical Error Correction Based on Hybrid Models with Data Augmentation

A better Chinese Grammatical Error Diagnosis (CGED) system for automatic Grammatical Error Correction (GEC) can benefit foreign Chinese learners and lower Chinese learning barriers. In this paper, we introduce our solution to the CGED2020 Shared Task Grammatical Error Correction in detail. The task aims to detect and correct grammatical errors that occur in essays written by foreign Chinese learners. Our solution combined data augmentation methods, spelling check methods, and generative grammatical correction methods, and achieved the best recall score in the Top 1 Correction track. Our final result ranked fourth among the participants.
حدود المطاف والمسعى دراسة فقهية للنوازل المعاصرة واستخدام التقنية

The problem of this study lies in finding legitimate solutions to the limited Mataf (area of circumambulation around the Holy Kabba) and mas'a, and raising their capacity in light of the large number of pilgrims and visitors, taking into account the difficulty of horizontal expansion of the Mataf and both of which have a legally binding limit, and collect the new legitimate issues related to these expansions. This study included an introduction, a preface, two demands and a conclusion as follows: The introduction included the objectives, problematic and methodology of the study and the definition of the terms of the study. The boot deals with search terms:  Limit, Mas'a, Contemporary events and Technology. The first topic dealt with the expansion of the Mataf and the in two demands: the limits of the end and its elements and historical expansion and the rule of this expansion, and the second requirement: the limits of the Mas'a in length and breadth, and the rule of the expansion of the offer of Mas'a and the new expansion and the position of scientists on it. The second topic dealt with the jurisprudential provisions on the expansion of the end and the in three demands, the first: the jurisprudential issues related to the expansion of the Mataf, and the second: use technology in Tawaaf and Sa'i, And the third: the jurisprudential provisions on the expansion of the Mas'a.Then the conclusion, main results of the research, recommendations and suggestions.
HUBUNGAN SIKAP DAN MOTIVASI BELAJAR DENGAN PRESTASI BELAJAR EKONOMI SISWA SEKOLAH MENENGAH PERTAMA KELAS VII

The research has the aims to describe the correlation of attitude, motivation and media for learning toward students’ achievement in Economics learning: (1) the correlation of attitude and students’ achievement in learning Economics; (2) the correlation of motivation with students’ achievement in learning Economics; (3) the correlation of attitude and motivation with sudents’ achievement in learning Economics. The number of students at social studies department of VIIth grade students at SMP Xaverius 2 Bandarlampung as many as 117 students were used as source material for data retrieval. Research data had taken by giving questionaires and tests to the students. Some techniques of data analysis used in the research are linear correlation and partial correlation.The conclusions of the research are: (1) attitude has a correlation with students’ achievement in learning Economics with linear correlation coefficient is 0.328 and partial correlation coefficient is 0.243; (2) motivation has a correlation with students’ achievement in learning Economics with linear coefficient correlation is 0.316 and partial correlation coefficient is 0.246; (3) attitude and motivaton have a correlation with students’ achievement in learning Economics with linear correlation coefficient is 0.324 and partial correlation coefficient is 0.238.
Blockchain Technology: Toward a Decentralized Governance of Digital Platforms?

Despite its promise to establish a more decentralized society with a novel economic order,5 many of the blockchain-based networks or applications implemented thus far ultimately rely on market dynamics and economic incentives for distributed coordination. Indeed, consensus, in a large majority of existing blockchain-based networks, is established — at the protocol level — through a combination of code-based rules and game theoretical mechanisms that ultimately replicate the current economic order. This type of governance by the infrastructure has already shown its shortcomings, especially when it comes to promoting or preserving decentralization, mostly due to its inability to account for external political and economic forces that exist outside of a blockchain-based platform. We claim that, in order to ensure that these platforms cannot be co-opted by these external forces, a more comprehensive governance model must be elaborated — one that extends beyond the realm of pure algorithmically verifiable actions, and that supports or facilitates the governance of the infrastructure.
Möte mellan konst- och jazzmusiker : -utmaningar och lärdomar

In collaborations with jazz musicians and classical musicians, the focus has traditionally been on the composer. In this thesis, I have focused on the musicians in the project instead. The most imp ...
The role of the UN in normative counteraction to the transnational crimes of terroristic character committed in the information sphere

INTRODUCTION. In today’s world, threats to international information security are increasing. One of them is the use of information and communication technologies for criminal purposes. The United Nations has become the centre for the development of measures to counter such practices. The article discusses the role of the United Nations in the formation of a new international legal institution. MATERIALS AND METHODS . The study was based on resolutions of the United Nations General Assembly, the United Nations Security Council, the texts of relevant international treaties and draft treaties, and academic writings. The methodological basis of the study was the general scientific and private scientific methods of knowledge which are traditional for legal works. RESEARCH RESULT. As a result of the research, the authors corrected the view of the term "information terrorism" that is being approved in legal science, and highlighted the provisions of UN General Assembly and UN Security Council resolutions that form the normative basis for state ‘countering crimes in the information space, and more broadly, the use of information and communication technologies for criminal purposes. DISCUSSION AND CONCLUSIONS . The authors note that the formation of a new international legal in- stitution takes place within the framework and under the auspices of the United Nations mainly under the basis of soft law norms. But now a new stage of "switching" is beginning. It is the stage in which the method of developing international recommendatory norms turns to the method of developing international Treaty norms that have a more stringent legal force.
A UNIFIED SYSTEM FOR DISTRIBUTING AND RETRIEVING INFORMATION FOR A MULTILEVEL HIERARCHY OF USERS IN AN INSTITUTION

This article presents a specific model of the distribution of the messages and retrieving information for a multilevel hierarchy of users that was recently proposed by the authors. The main channels and messengers of communication between users were analyzed and compared. A Telegram messenger bot has been developed to automate the sending of information messages, divided into hierarchical levels of recipients in educational institutions. C# programming language and .NET Core technology, Entity Framework Core, ASP.NET Web API Core, PostgreSQL database were used for development. They are implemented in the VisualStudio environment appropriate application in the form of a web application API.