Reviewerly/exHarmony huggingface dataset:
Symmetry and Physics

Special relativity and quantum mechanics form the foundation of twenty-first century physics. At the risk of abusing a metaphor, symmetry is the rebar, or supporting steel, that threads through this foundation, providing strength and allowing a simplicity of form that would be otherwise unachievable. In this chapter we introduce the concept of symmetry and detail the many important roles it plays in physics. It is important to distinguish between two types of symmetry: the symmetry of things, such as paintings, faces and the Universe, and the symmetry of the equations that describe them. Despite its vital role, symmetry is only useful if it is not perfect. Too much symmetry would lead to a universe that was not only boring, but also impenetrable to our scrutiny. In fact, sometimes a symmetry of the system of equations under consideration is not respected by the physically relevant solution. This phenomenon, called spontaneous symmetry breaking, is how the famous Higgs particle endows elementary particles with mass. Spontaneous symmetry breaking is demonstrated by minimizing a suitable “cost function” (a.k.a. principle of least action), a method that plays an integral part of most, if not all, physical theories.
Council partner with Google Digital Garage to deliver free digital skills webinar

Southend-on-Sea Borough Council are teaming up with Google Digital Garage to offer a free live training webinar for individuals and businesses on 22 October 2020.
Mapping Buried Steel Flowlines Using Geophysical Sensors on Small Drone Aircraft

Abstract This study evaluated magnetic surveys using small unmanned aerial systems (sUAS) for the mapping of small diameter, buried pipelines, particularly flowlines. The study found that 2-inch diameter, steel pipelines buried 3-ft. deep can be confidently mapped by a total field, atomic magnetometer flown at 8 m above ground level, the maximum sensor altitude tested. The study also suggested that spiral flightplans might be preferred over bidirectional, parallel line surveys (serpentine surveys) because of the increased likelihood that the magnetic sensor will cross pipelines at or near 90° angles, the preferred orientation to obtain narrow, but intense pipeline magnetic signatures.
Research Guides: Library Events and News: Workshop Recordings

Learn about the latest resources, services, events and offerings at the Asa H. Gordon Library You can find our past Library workshops here!
Comparison of four visual analytics techniques for the visualization of adverse drug event rates in clinical trials

Drugs are evaluated and compared during clinical trials, and the observed adverse drug events are recorded. Many trial results are available online in trial registries, such as ClinicalTrials.gov. However, this data remains little used currently, due to the volume and the tabular presentation.In this paper, we focus on the visualization of adverse drug event rates, aggregated in 13 anatomical categories and 2 levels of seriousness. We designed four interactive visual analytics: horizontal stacked bar chart with labels, vertical stacked bar chart, area-proportional flower glyphs and star glyphs. We compare the four approaches, analytically and through a preliminary user study aimed at determining the user preferred visual analytics, and we identify their advantages and disadvantages. We conclude that the best options are the horizontal stacked bar chart, which allows labels to help identify the categories of adverse drug events, and the area-proportional flower glyph, which permits a better visualization of small values when very high values are present.
복수(復?)의 서사로 읽는 영웅소설 -과 을 중심으로-

In this paper, I have read hero novel in terms of revenge narrative so that I aimed to explain how revenge could be important reception and what is the meaning of that. In popular hero novel, the narrative of revenge appears in whole text. Hero is a character who has a obligation to revenge the anta...
The Walk Exploring the Technical and Social Margins

Walking has long been an instrument of political activism, such as the Jarrow March in Britain and the Salt March in India in the 1930s, and before that of war. It has been a spiritual practice, a source of literary inspiration and in some cases regarded as an art in itself. In the case of psychogeography, the act of walking is an integral part of academic and philosophical practice. However, it is fair to say that walking is not a typical part of HCI research methodology. From mid-April to the end of July 2013, I walked the perimeter of Wales, a distance of 1058 miles (1700 km). This was partly a personal journey encircling the country of my birth, not without overtones of pilgrimage, certainly a symbolic act, and maybe, depending on your definitions, art. It was also a research journey, seeking to understand the social and community issues of the ‘margins’ (literally and metaphorically) of a modern nation, including the impact or otherwise of information technology. This layering of aims and approaches could be regarded as post-modern, but I preferred the words of the Dean of Cardiff School of Art and Design, who described the methodology as mediaeval, and subsequently the blog about the walk was compared with the writing of Gerald of Wales written in 1188. In this chapter, I explore some of the things I have learnt from this perambulatory research; we will consider the design of mobile technology, the meaning of community and the role of the subjective in academic study. However, the ‘results’ of this are as much questions as answers. Remote rural communities in Wales, and across the world, often face a deepening of the existing social and economic divides, often fuelled by the digital revolution. Can appropriate design and policy counter the apparently inevitable technological entrenchment of existing power? Methodologically, is there a role for this level of slow-paced physicality and ethically is there a place for physical pain? Finally, a critical aspect of the walk was its permeability. I laid myself open to others as a living lab, and the data gathered was being made available to the entire research community. It started as my journey, but one of the first tangible outcomes was a digital exhibition by others, inspired by, but not ‘about’, the walk. Just as the act of walking collapses the distinction of places into a threaded narrative of journey, is there also a space for research that defies the discretisation of publications as metricised outputs, and dissolves the cabalistic divisions of disciplines and groups, a space for methods of work that link, join and lay themselves open to use by all?
Enhanced Question Answering System with Trustworthy Answers

Community-based question answering sites such as Yahoo! Answers, Quora, and Stack Overflow have emerged as an effective means of information seeking on the Web. Anyone can obtain answers to their questions by posting them for other participants on these sites. However, not all questions get immediate answers from other users. Questions which are not interesting enough for the community may suffer from “starvation”. Such questions may take days/months to get satisfactory answers. This delay in response can be avoided by searching similar questions in an archive of previously answered questions or by forwarding to users who might potentially answer. Another approach would be to combine multiple valid answers into one and then generate a well-summarized answer. The proposed framework reduces starvation of new questions in Stack Overflow by profiling users based on interests and forwarding the questions to the right users to obtain trustful, complete, and relevant answers.
Library Guides: Environmental Science: Finding Resources

This is a curated list of databases and resources relevant to Environmental Science. To view all databases, please go to the Library's A-Z Databases page.
Command Pattern Design for Web Application

In recent times, Web application development has become essential for the IT industry. In the past, Web applications were used primarily to provide a graphical view of data stored in backend systems, and business logic execution or any form of data manipulation was programmed in the backend systems. Web applications were treated as dummy client interfaces because client machines were not proficient in performing complex computational operations or executing business operations such as data manipulation and analysis. Now, as client machines have become more advanced and capable of performing complicated business operations, application developers can make client interfaces more intelligent. Enabling client interfaces to handle such complex business processes is of great importance for some business scenarios, like in the case of collaborative user interface designing where data representation and data insertion are not the sole purpose of the Web applications. Adapting design patterns like “Command Pattern” (Long in IEEE, 2017 []; Betts et al. in Avail Maintainability Windows Azure, 2013 []) can make the Web client smarter and more efficient. This pattern reduces the burden on the backend systems when performing all kinds of business operations []. This design pattern provides flexibility to the developers for converting all user actions executed in the user interface (UI) into simple, discrete commands. In this paper, a detailed approach is discussed on how to apply the pattern in more optimized manner by which one can then submit commands individually in an asynchronous manner to the backend system for processing. Handling of these user actions through individual asynchronous commands discussed in the paper makes the UI non-blocking. This also provides flexibility in performing some of the UI changes locally until a response is received from the backend. This paper details the architecture for using “Command Pattern” and design approach for any Web application development and best practices that improve the user experience.
드론 배송 서비스 사용 의도에 영향을 미치는 요인에 관한 연구

BIS(Bank for International Settlements) Research의 시장분석에 따르면 전 세계적 UAV(Unmanned aerial vehicle) 시장 규모는 2014년보다 2018년 CAGR(Compound Annual Growth Rate) 9% 성장할 것으로 전망하고, 국내 UAV 시장 규모는 2014년보다 2018년 CAGR 9% 성장할 것으로 전망하고 있다. Gartner 최근 분석에...
Why do we still have email?

By rights, email should now be obsolete, yet it has outlived the computers where it was born with dogged determination, says Annalee Newitz
Multi-agent active perception with prediction rewards

Multi-agent active perception is a task where a team of agents cooperatively gathers observations to compute a joint estimate of a hidden variable. The task is decentralized and the joint estimate can only be computed after the task ends by fusing observations of all agents. The objective is to maximize the accuracy of the estimate. The accuracy is quantified by a centralized prediction reward determined by a centralized decision-maker who perceives the observations gathered by all agents after the task ends. In this paper, we model multi-agent active perception as a decentralized partially observable Markov decision process (Dec-POMDP) with a convex centralized prediction reward. We prove that by introducing individual prediction actions for each agent, the problem is converted into a standard Dec-POMDP with a decentralized prediction reward. The loss due to decentralization is bounded, and we give a sufficient condition for when it is zero. Our results allow application of any Dec-POMDP solution algorithm to multi-agent active perception problems, and enable planning to reduce uncertainty without explicit computation of joint estimates. We demonstrate the empirical usefulness of our results by applying a standard Dec-POMDP algorithm to multi-agent active perception problems, showing increased scalability in the planning horizon.
The Constitutional Case against Aarogya Setu

In 2017, a democratically-elected government stood before the Supreme Court and argued that it had complete and absolute right over the lives of its citizens. It referred to privacy as an “elitist” concern, that its surveillance powers has no constitutional limits and no fundamental right to privacy was guaranteed by the Constitution. The Court disagreed unanimously. Twice thereafter, The Narendra Modi government attempted to circumvent the Supreme Court’s judgement. First through the mandatory, expansive and unjustified use of Aadhaar, which was pruned substantially by the court. And second, by issuing an executive notification making the installation of Aarogya Setu app mandatory. The app has witnessed a metamorphosis from voluntary, voluntary-mandatory to effectively mandatory. The paper aims to answer (a) how the recent MHA order which dilutes the mandatory imposition of the app does little to no dilution of the mandatory imposition. (b) Privacy concerns that survive the ‘Aarogya Setu Data Access and Knowledge Sharing Protocol 2020’ and (c) legal lacunae the Protocol fails to address.
A study on use of the Korean negation sentences through discourse analysis of foreign panel members in a Korean entertainment program [Love of the 7.7 Billion].

In this study, a researcher transcribed Korean negation sentences presented on four episodes of the [Love of 7.7 Billion] and analyzed the discourses of foreign panel members by focusing on Korean negation sentences. The aims of this study are to (1) analyze types and accuracy of Korean negation sentences in foreign panel members’ discourse and (2) present pedagogical implications for efficient Korean education on negation sentences. This study was launched as an attempt to analyze how correctly and variously foreign panel members in the program use Korean negation sentences in their discourse. Since discourse is closely related to the ordinary life of humans, discourses which appeared on the [Love of 7.7 Billion] would be suitable data to analyze since it is a discussion-based program. Therefore, discourse is useful from a pedagogical standpoint to look into the Korean language proficiency of them. Through discourse analysis, several implications were found. (1) foreign panels tended to use short negation sentences rather than long negation sentences; (2) panels’ use of Korean negation sentences was not various; (3) panels divided Korean negation sentences into often-used negation sentences and rarely-used negation sentences; (4) the use of negative polarity was not found that much.
Language development in preschool children

Abstract. One area of development in the growth of basic skills in kindergarten is language development. Language development is a person's ability to communicate with others. Language development in Preschool Children is a change in the sound-symbol system that affects the ability to speak. Early childhood can identify themselves and interact and work together with others. Language allows children to translate experiences into symbols that can be used to communicate and think. Language skills in kindergarten age children are divided into five aspects of development: phonetic, semantic, syntactic, morphemic, pragmatic. With language, children can communicate their intentions, goals, thoughts, and feelings to others. Kindergarten age children are school-aged children who are at a vulnerable age of 4-6 years, where during this time, the child develops very rapidly. Keywords: language development and Preschool children
Sistem Pakar Dalam Diagnosa Penyakit Tuberkulosis Otak Menggunakan Metode Certainty Factor

Brain tuberculosis or brain tuberculosis is a type of disease that is very rarely known by many levels of society, brain tuberculosis is also a type of disease that cannot be considered a mild disease at all but a type of disease that can cause sufferers to live in suffering and more often result in death and tuberculosis brain disease is very rarely known to the sufferer and until now the drugs in the treatment of this disease are also very expensive. Diagnosis needs to be done before this disease becomes inflamed and takes over from the brain function itself so that the community will be more sensitive and better recognize and prevent brain tuberculosis disease from approaching, in this study an application in the diagnosis of brain tuberculosis is carried out using an expert system approach which is used to assist in Diagnosis of tuberculosis brain disease using the certainty factor method, the results of using the certainty factor method based on the criteria and every listed symptom that many patients with brain tuberculosis experience show a fairly high percentage and accuracy as a means of showing the condition of the body experiencing symptoms of brain tuberculosis.
Anomaly Detection for Network Traffic of I&amp;C Systems Based on Neural Network

Abstract Anomaly detection is significant for the cybersecurity of the I&amp;C systems at nuclear power plants. There are a large number of network packets generated in the network traffic of the I&amp;C systems. There are many attributes of the network traffic can used for anomaly detection. The structure of the network packets is analyzed in detail with examples. Then, Features are extracted from network packets. An unsupervised neural network called autoencoder is applied for anomaly detection. Training and testing database are captured from a physical PLC system which simulates a water level control system. The result of the test results shows that the neural network can detect anomaly successfully.
Features of entropy orderliness of transportation process for typical routes of urban public transport

The paper presents the possibility, necessity, ideology and essence of the entropy method of estimating the orderliness of the transportation process in relation to urban public transport. Examples of numerical definition of the relative entropy of the transportation process on typical public transport routes are given. The paper shows that the level of orderliness of the transportation process, identified by relative entropy, is determined by the specifics of the spatial location of public transport routes in terms of the urban area and mainly depends on the quality of users of public transport services.
Sexuell grooming - En utredning av bestämmelsen i 6 kap. 10 a § brottsbalken om kontakt för att träffa ett barn i sexuellt syfte

Grooming is an established word for the approach that perpetrators are using to contact children, oftentimes over the Internet, ultimately to commit sexual offenses against the child. The expansion of the Internet has in many ways made it easier for perpetrators to approach and contact children. The vast majority of Swedish children use social media, many of whom at some point have been contacted online for sexual purposes by an adult.The purpose of this thesis is to investigate how Sweden has designed its legislation in order to protect children from grooming by examining legislation, preparatory materials and case law. The study of the Swedish legislation will be done on the basis of various international agreements. Furthermore, the thesis will approach and compare the Swedish legislation with the legislation in Norway, Finland and Denmark.In Sweden, grooming is criminalized through Chapter 6, Section 10 a of the Swedish Penal Code. According to the legislation, it is punishable to propose a meeting or enter an agreement with a child to meet for the purpose of committing any of the offenses listed in the paragraph. The Swedish legislation largely complies with the requirements of the various international agreements that are brought up in the thesis. However, whether they can be considered fully fulfilled through the legislation is not entirely clear. Child pornography offenses are not included as one of the listed acts, even though it is a central requirement under the international agreements.Like Sweden, both Norway and Finland have adopted certain legislation regarding contact seeking with children for sexual purposes. In Denmark, there is no such legislation. Similar crimes are instead covered by the country’s legislation regarding attempts.
TOPOLOGICAL APPROACH TO BLACKHOLES ANOMALY DETECTION IN DIRECTED NETWORKS

In this paper we consider the problem of finding a blackhole pattern in directed unweighted graphs. The problem statement is the same as in an original paper by scientists from University of New-Jersey published in 2010. The paper contributes to the special graph pattern matching, the work results can be used for anomaly detection in finances, natural disasters, urban analysis. This paper aims to propose a novel algorithm for blackhole mining, which would take into account inner structure of the “blackhole” pattern and utilize this knowledge for more efficient mining. This paper reviews previously published solutions and tests them on larger graphs containing up to 1 million of nodes. In particular, an iBlackhole algorithm and its Divide and Conquer modification iBlackholeDC are considered, their weak spots are highlighted and reviewed upon. Graph condensation is introduced as an efficient preprocessing for the problem. This paper provides theorems and definitions describing inner structure of the blackhole pattern. Based on the new theorems, a new approach to enumeration of candidates is introduced as well as rules and heuristics aiming for faster filtration of candidates: they utilize topological sorting of a graph and definition of a “special” node, which is also introduced in this paper. Special nodes properties are described. We propose a novel TopSortBH algorithm. It consists of the graph condensation, candidates enumeration and heuristics for candidates filtration. The algorithm is provided with modification called FastSkip, which allows for more aggressive filtering strategy in time-sensitive cases. All mentioned algorithms are implemented and tested on the IBM Power8 based system. Experimental results show efficiency of the condensation as graph preprocessing for the problem. Strong advantage in found blackholes count is demonstrated for TopSortBH in comparison to iBlackholeDC on RMAT, SSCA2 and UR graphs containing up to 1 million nodes.
Information design/visualization and IDJ

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Analysis Toward RLWE-Based Key Exchange Protocol Based on Automatic Learning Structure

We analyzed one of the NIST post-quantum cryptography candidates: NewHope-Key-Exchange, the post-quantum key exchange protocol, using an automatic analysis strategy to attack the security properties of the scheme. Our analysis approach mainly concentrates on the Number Theory Transform (NTT) as well as the RLWE assumption applied in NewHope. The influences of security and efficiency toward NewHope are analyzed based on specially designed attack models applying an automatic analysis oracle. Under the assumption of full security indistinguishability model and partial leakage security indistinguishability model, we configure the key exchange protocol respectively, and evaluate different security strength and efficiency in different scenarios to validate the influences of NTT structure. The quantitative results show that the NTT process performs an signaficent role in the key exchange protocol.
Exploring the Characteristics of Hyperledger Fabric in Resource Consumption

As blockchain applications are available in clouds, the resource allocation of blockchain becomes an important issue. This paper investigates the resource consumption of Hyperledger Fabric that is a popular blockchain framework. As Fabric consists of several components, this paper characterizes the resource consumption of Fabric components. Then, we attempt to control the CPU allocation of the components and explore the performance implications. Our evaluation results show that the “proper” CPU allocation of Kafka component reduces the CPU usage of the overall Fabric by 14% but the performance of Fabric does not decrease. Our result suggests that clouds can benefit from such control of CPU allocation to Fabric.