Reviewerly/exHarmony huggingface dataset:
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees.

Studies related to fairness in machine learning have recently gained traction due to its ever-expanding role in high-stakes decision making. For example, it may be desirable to ensure that all clusters discovered by an algorithm have high gender diversity. Previously, these problems have been studied under a setting where sensitive attributes, with respect to which fairness conditions impose diversity across clusters, are assumed to be observable; hence, protected groups are readily available. Most often, this may not be true, and diversity or individual interests can manifest as an intrinsic or latent feature of a social network. For example, depending on latent sensitive attributes, individuals interact with each other and represent each other's interests, resulting in a network, which we refer to as a representation graph. Motivated by this, we propose an individual fairness criterion for clustering a graph $\mathcal{G}$ that requires each cluster to contain an adequate number of members connected to the individual under a representation graph $\mathcal{R}$. We devise a spectral clustering algorithm to find fair clusters under a given representation graph. We further propose a variant of the stochastic block model and establish our algorithm's weak consistency under this model. Finally, we present experimental results to corroborate our theoretical findings.
종결어미적 용법 ‘-(으)니까’의 담화·화용적 기능 - 생략과 도치를 중심으로 -

This study examined the discourse-pragmatic functions of ‘-(u)nikka’, which functions as a final sentential ending through omission and inversion in spoken corpus. The functions of ‘-(u)nikka’ which performs the final sentential function through omission can be used in diverse ways as a ‘response with a reason presupposing the listener’s perception’,‘to confirm a reason’, ‘suggest understanding’, ‘suggest empathy’, ‘request consent’, ‘as an inducement for the listener’s response in the speaker’s conversation ’, and ‘indirectly revealing the speaker’s thoughts’. The main clauses of’‘-(u)nikka’ through inversion’ is used with the aim to clearly relate what the speaker wants to say about the utterance of the preceding speaker in the trailing clause located at the end of all utterances; with the aim to efficiently structure a conversation by providing the listener’s immediate thoughts on the subject or theme suggested by the speaker; and with the aim to explicitly bring up a new subject or theme. The ‘-(u)nikka, which performs the final sentential function through inversion is mainly used to explain the reason or situation. (Yonsei University)
중국의 지역패권화 가능성과 한계 - 남중국해 분쟁사례를 중심으로 -

The purpose of this research is to analyze the possibility of Chinese regional hegemony and its restraints in the East Asia. China’s movement for its hegemony has restrains such as development, integration, and regime issues, and issues of development are closely related to the later two as regional unbalancing as the example.South China Sea disputes in 2015 and 2020 share the same fact that the claims of the United States and China confront; international water and exercise of sovereignty, however, the distinctive point is given by the increasing intensity of disputes and it would likely to be extended as the competition for hegemony. Considering China’s movements in its national development strategy, hegemonic approaches, and augmentation of military power, Chinese intention to achieve maritime and regional hegemony in the East Asia becomes much specific. However, China’s vulnerability of growth power comparing to capabilities of the United States, regime instability due to issues of human rights and ethnic groups, and antipathies of surrounding states against Chinese pursuit of national interests provide limitations for China to achieve the regional hegemony in a near future.Rule of power and mobilization of military strength of China shown in disputes of South China Sea are also being presented on the Korean peninsula. Along with diplomatic efforts, an increase of naval capability against illegal entries of China. A realistic reasoning on requests for cooperation and support to the United States and China must be carefully considered, and mitigate risks by reducing the dependency on trades with China.
Bringing transparency into ensemble cluster analysis with the aid of interactive visualization

&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;Ensemble forecasting has become a standard practice in numerical weather prediction in forecasting centres across the world. The large data sets generated by ensemble forecasting systems carry much information, that is difficult to analyse in short time periods, requiring well-designed workflows in order to be useful. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;Clustering is one of the ensemble analysis methods that are applied to discover similarities between ensemble members. Cluster analysis involves different steps like dimensionality reduction, core clustering algorithm and evaluation. A large of number of methods have been proposed in the literature for each of these steps, however, only few have been applied to clustering of ensemble forecasts. A major challenge is that for a given ensemble forecast, different choices of methods and data domains can lead to very different clustering results. For example, Kumpf et al. (2018, IEEE Transact. Vis. Comp. Graph.) have demonstrated the sensitivity of clustering results to even small changes in the considered domain. The challenge equally exists for choices in clustering methods and method parameters.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;In our work, we are attempting to open up the clustering black box by introducing a visualization workflow that makes transparent to the user how different choices in methods and method parameters lead to different clustering results. To achieve this, a clustering analysis library that works in tandem with the ensemble visualization software &amp;amp;#8220;Met.3D&amp;amp;#8221; (&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;) is being developed. We present the current state of the system and demonstrate its use by analysing an ensemble forecast case study.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
종교적 상징 요소와 표현연출을 적용한 현대 교회 건축 계획에 관한 연구

Today, human society faces new challenges in the value and role of faith due to the rapid changes in the cultural industry. The past church has manifested itself as a holy community. There were times when the authority of the church faith meant the definition and authority of society. However, since the post - war Korean modern society focused on the scale of economic development and quantitative growth, Korean Protestantism did not regain its modern social status that led to religion and culture. Though tens of thousands of churches have been built around Korean society in the growing period of Korean society, the purpose of church and church construction reveals various problems. The purpose of this study is to restore the social status of Christianity, I intend to present the church building plan as a theological symbol system in harmony with the situation.
2P-724 : Fluorine, Titanium co-doped hematite for enhanced photoelectrochemical water splitting performance

In photoelectrochemical water oxidation using metal oxide materials, there are promising oxide materials like TiO2, WO3, BiVO4, Fe2O3. hematite (Fe2O3) has advantages in commercialization aspect due to its earth abundancy and proper band position, gap which is connected to high theoretical photo-current value(~12.6mA/㎠). However, hematite has several drawbacks like poor conductivity and short diffusion length of hole(2~4nm) are inevitable problem. To overcome these drawbacks, doping, heterojunction, co-catalyst, passivation layer, morphology control is considered. In doping process, although most of works reported about metal dopant which replace Fe site, there are a few reported papers which applied non-metal dopant such as S, P, F. In this project, we applied metal, non-metal co-doping method with Titanium and Fluorine. We confirmed successfully F, Ti co-doped hematite with enhanced photoelectrochemical activity and introduced different effect of each dopant.
LibGuides: True Crime Resources: Monographs

This is a guide to some of my favorite true crime resources. It will provide a variety of media to help you get your true crime fix! A List of Monographs About True Crime
History Of The Emergence Of Information Ethics

This article discusses the history of the field of information ethics, which is of global importance today. It also contains methodological approaches, scientific and theoretical conclusions of experts conducting research in this field.
Dynamic Workout Detection in Smart Watch Using Artificial Neural Network

Recent advancements in smart technology like smart watches make it easy for the user to keep track of their daily activities. Nowadays, smart watches are capable of efficiently monitoring routine exercises and sport activities. But the current solution of Human Activity Recognition (HAR) and Sports Activity Recognition (SAR) uses multiple sensors like accelerometer, gyroscope, and magnetometer, which is battery intensive. Further most of the HAR and SAR solutions have not been subjected to real time testing. To overcome this problem, we propose a method for SAR by making use of data from a single sensor namely accelerometer. In this work SAR covers 4 activities (badminton, table tennis, squash and football), and together we denote them as Dynamic Workout (DW). The proposed method makes use of a light weight Artificial Neural Network (ANN) model with only 2301 trainable parameters. The model is deployed on Samsung Galaxy Watch3 for real time testing. The proposed method achieved True Positive rate (TPR) of 89.5% and True Negative Rate (TNR) of 92.3%. The model achieved 100% accuracy in real time testing.
Endless Loops: Detecting and Animating Periodic Patterns in Still Images

We present an algorithm for producing a seamless animated loop from a single image. The algorithm detects periodic structures, such as the windows of a building or the steps of a staircase, and generates a non-trivial displacement vector field that maps each segment of the structure onto a neighboring segment along a user- or auto-selected main direction of motion. This displacement field is used, together with suitable temporal and spatial smoothing, to warp the image and produce the frames of a continuous animation loop. Our cinemagraphs are created in under a second on a mobile device. Over 140,000 users downloaded our app and exported over 350,000 cinemagraphs. Moreover, we conducted two user studies that show that users prefer our method for creating surreal and structured cinemagraphs compared to more manual approaches and compared to previous methods.
The Effect of Online Learning on Learning Interest and Digital Literacy of Students in terms of Gender (Gender-Based Comparative Causal Study of Students' Learning Interest and Digital Literacy in Distance Learning Due to the Covid-19 Primary School Pande

The implementation of online learning in elementary schools since the spread of the COVID- 19 viruses in Indonesia, so the background of this study is to determine the effect of learning interest in online learning on students' digital literacy in terms of individual competence based on gender. The method used is causal-comparative. The instrument in the form of a questionnaire regarding interest in learning and digital literacy in terms of individual competence based on gender. Data was collected using Google Forms. The study population was students at SDN Sukamukti 02, with a random sampling of 300 students, consisting of 175 girls and 125 boys. The research findings obtained are (1) there is a significant difference between the learning interest of male and female students with sig. 0.007; (2) there is no significant difference in the digital literacy skills of male and female students with sig. 0.091. So, the conclusion is that online learning that is carried out shows that there are differences in the learning interests of male and female students. However, the digital literacy skills of both male and female students during online learning did not show a significant difference. So, it can be said that the digital literacy skills of students are equal.
The Use of Natural Language Processing Approach for Converting Pseudo Code to C# Code

Although current computer-aided software engineering tools support developers in composing a program, there is no doubt that more flexible supportive tools are needed to address the increases in the complexity of programs. This need can be met by automating the intellectual activities that are carried out by humans when composing a program. This paper aims to automate the composition of a programming language code from pseudocode, which is viewed here as a translation process for a natural language text, as pseudocode is a formatted text in natural English language. Based on this view, a new automatic code generator is developed that can convert pseudocode to C# programming language code. This new automatic code generator (ACG), which is called CodeComposer, uses natural language processing (NLP) techniques such as verb classification, thematic roles, and semantic role labeling (SRL) to analyze the pseudocode. The resulting analysis of linguistic information from these techniques is used by a semantic rule-based mapping machine to perform the composition process. CodeComposer can be viewed as an intelligent computer-aided software engineering (I_CASE) tool. An evaluation of the accuracy of CodeComposer using a binomial technique shows that it has a precision of 88%, a recall of 91%, and an F-measure of 89%.
A Blockchain-Based Scheme for Secure Storage and Sharing of Student Digital Profiles

With the development of education informatization in China, the student profiles are becoming digitized. However, currently different digital profiles of a student are still stored dispersedly in multiple databases, which results in information silos and vulnerability to security and privacy threats. Aiming at these deficiencies, this paper proposes a secure storage and sharing scheme of student digital profile based on blockchain technology. With the characteristics of decentralization, security, credibility, and tamper-resistance of the blockchain, the consensus of network nodes is achieved through the Delegated Byzantine Fault Tolerance (DBFT) protocol, and the sharing of student digital profile information is achieved through the access control mechanism. The public information of educational digital information is preserved on the blockchain, and the student profiles are encrypted and stored in a database or cloud, which facilitates the effective storage of personal digital profiles and information sharing among various systems. The proposed scheme utilizes blockchain technology for decentralized and tamper-proof management, and provides a solution to information silos and security issues of student digital profiles.
A Computer-Aided Instruction in Mathematics: Application Game on Android Devices

Nowadays, access to mobile phones has increased significantly over recent years many people have access to devices on a wide basis and a large number of children play electronic games. The electronic games has positive and negative impacts to children. The study were developed to provide an alternative and interactive educational game for the Grade I pupils. The title of the study is A Computer-Aided instruction in Mathematics for Grade I Pupils Application Game on Android Devices that will focus on the basic arithmetic operations in Mathematics such as addition, subtraction, multiplication and division. The flash for android were used for animation. Sql lite for its database in order to store mathematical problems or equation and results. For programming language, the researchers used an android programming. With the development of the study, the application can only be installed to all the Android mobile phones and PC tablets.The main objective of this research is to develop and design An Application Game on Android Devices. Specifically, sought to find the profile of the respondents, respondents perception on the level of effectiveness proposed application Respondents’ perception on the level of acceptance of the proposed application in terms of the systems quality metrics used; accuracy, functionality, reliability, speed of processing and efficiency. In the context of the findings and conclusions, the researchers draw that the application must be used by Grade I Pupils as an alternative tool in learning, the continuous study and development to widen the scope and enhance the design and purpose, and inclusion of electronic manual in the mobile application should take into consideration.
Perspectives In The Development Of Russia’s Universities In The 2020s

The present scientific paper deals with modern impacts on the development of science and higher education, in particular in Russia. The indicated effects make the traditional methods of students training to be ineffective. In this regard, research of potential trends in the evolution of universities is of immediate interest. The authors used foresight method for identification of the potential promising trends. They also used the expert interview method to characterize their consequences. Results of the tests were classified and structurized. In the present scientific work, the obtained by the authors trends that may arise in the 2020s in evolution of the Russian universities are discussed. Circumstances important for working out the growth policy for universities in Russia are also considered. Strategy tasks for development of higher education in specific conditions of Russia are identified. Finally, remedies necessary for development of a promising strategy for improving the university activities in Russia are also observed.
Управління професійним розвитком учителя-словесника в умовах діджиталізації

The practical experience of the Department of Methods of Teaching Languages and Literature of the Kharkiv Academy of Continuing Education in managing the professional development of vocabulary teachers in the conditions of digitalization is analyzed. An overview of innovative approaches to professional development of teachers of philological disciplines in the development of information and digital competence in them.The essence of the teacher of the new formation is determined. Emphasis is placed on the fact that the possession of basic Internet services and technologies, which are part of the Informatively communication competence of the teacher, is becoming one of the most important conditions for achieving a high level of professionalism in almost any field of activity and is an integral part of modern education. The ways of managing the professional development of a teacher-vocabulary in the conditions of digitalization are outlined, which should be focused on the formation of the teacher's skills and abilities to use the Internet, as well as the use of informatively communication competence (ICС) in professional activities. The subject of training of the basic programs of advanced training courses, thematic special courses which is directed on formation of digital competence of the teacher of philological disciplines is given. Emphasis is placed on innovative forms of professional development of teachers of philological disciplines in the conditions of digitalization, namely on methodical events in the remote mode.
A Case Study on Real-time Live Video Streaming Content

With the development of new media, great changes are taking place in the way people get information. The change is the use of video content that can deliver content in a more three-dimensional way than words or photos. After 2016, the number of live video streaming content providers and users has increased. In this paper the write takes the 1 personal live video streaming content as the research object. And the write takes live video streaming content on YouTube live or Douyu TV as a research example. In this paper, the writer analyzes the digital information content in the live video streaming case. And the writer expounds the necessity of these visual information and the characteristics of real-time live video streaming content. Especially since 2020, because of the influence of the COVID-19, the live video streaming industry has begun to combine with the traditional industry. It is expected that the integration of digital cutting-edge technology and live video streaming will not only provide diversity in the content, but also create more social value for the video content consumption culture. Therefore, The writer thinks it is necessary to conduct in-depth research on the social responsibility of real-time live content in the future.
TAG: Task-based Accumulated Gradients for Lifelong learning.

When an agent encounters a continual stream of new tasks in the lifelong learning setting, it leverages the knowledge it gained from the earlier tasks to help learn the new tasks better. In such a scenario, identifying an efficient knowledge representation becomes a challenging problem. Most research works propose to either store a subset of examples from the past tasks in a replay buffer, dedicate a separate set of parameters to each task or penalize excessive updates over parameters by introducing a regularization term. While existing methods employ the general task-agnostic stochastic gradient descent update rule, we propose a task-aware optimizer that adapts the learning rate based on the relatedness among tasks. We utilize the directions taken by the parameters during the updates by accumulating the gradients specific to each task. These task-based accumulated gradients act as a knowledge base that is maintained and updated throughout the stream. We empirically show that our proposed adaptive learning rate not only accounts for catastrophic forgetting but also allows positive backward transfer. We also show that our method performs better than several state-of-the-art methods in lifelong learning on complex datasets with a large number of tasks.
A Study on Cyber Security in Financial Services Sector

A cyber security meant to assist a corporation mitigate risk exposure by offsetting costs involved recovery after a cyber-related security breach or similar event. Security vulnerabilities available in cyber security systems cause virtual and physical damages to financial systems which successively cause national- and individual-level security issues. Today’s world is being shaped by digital technology, and cyber threats to information constitute a big risk factor for businesses. This study explores the cyber security risks the economic system may encounter. The status of monetary system, a system which incorporates variety of online services, in Tamilnadu with reference to cyber security risks and therefore the current risks are assessed and presented alongside possible solutions. This study analyzes cyber security and cyber risk insurance. Nevertheless, cyber risk insurance, an emerging tool for cyber risk management, was analyzed intimately. With this background, the researcher has taken this topic to analyse the Cyber Security in Financial Services sector in Chennai District.
A Study On BlockChain And Cryptography

This study has been undertaken to all the segments and functioning of BlockChain and Cryptocurrency. They have become one of the hottest topics in the tech and finance world. This technology directly affects the financial world. It is safe, secure, and fast and expanding with a predicted rate of 42.8% by 2020. The immense potential this technology holds for future growth gives rise to the concept of BitCoin, Ethereum, etc. There are more than 2000 startups based on BlockChain Technology with a high market inclination.