Reviewerly/exHarmony huggingface dataset:
Harnessing the Power of Collections: Building and Highlighting Special Collections Using Alma & Primo

The librarians at Southern Adventist University's McKee Library needed a way to highlight the materials in their special collections and displays. Additionally, we lost our old New Books webpage functionality after migrating to Alma, and needed a replacement. These new pages had to be visually appealing and easy to navigate. Using the Alma/Primo Collections functionality proved to be the solution. In this presentation, the librarians will discuss the process we went through to set up Collections in Alma, build itemized sets to be included, and how we made these Collections discoverable in Primo and on our library website. We will also discuss the issues we faced in implementation, how Ex Libris addressed our concerns, and our future plans for this tool.
Interval Discrete Dynamic Model of Budget Revenues in Conditions of Shadow Economy

The task of identification of the interval discrete dynamic model is considered in the paper. For building such models, it is proposed to use a method of structural identification, which is based on the analogy with the foraging behavior of the honeybee colony. It is proposed to use this method for building an interval discrete dynamic model for prediction of budget revenues in conditions of shadow economy. The built mathematical model is suitable for calculating the budget at the macro and micro levels. It is simple enough to adjust the model for specific conditions.
The Basics Using the Command Line

In this chapter, you will learn the basics of MATLAB® using the command line. The notation for basic mathematical operators is introduced and the role of different types of parentheses summarized. MATLAB records your command history, and we will show you how to access this so that you can repeat commands without having to retype them and how to add comments to your code. You will discover how floating-point numbers can lead to rounding errors in computational calculations. You will learn how to assign calculated values to variables, the rules for naming variables, how to use those variables in further calculations and how to erase them when they are no longer needed.
An Automated Scheduler-Based Approach for the Development of Cryptoprocessors for Pairing-Based Cryptosystems

Pairings have been used to develop a wide range of cryptographic protocols to solve problems beyond the reach of traditional public-key cryptographic schemes. At the same time, they are mathematically complex and involve a rich hierarchy of operations over finite fields and extension fields. Performing a pairing operation involves large number of modular multiplications, additions, and subtractions that require cumbersome manual scheduling of operations. Due to large sequence of operations and custom hardware architectures designed for a specific pairing algorithm, it becomes infeasible to change the underlying pairing type, elliptic curves, or even parameter sets without redesigning the entire architecture. We present the design of a configurable and generic execution unit, capable of being used for any pairing algorithm, and serving as a coprocessor to perform all the underlying operations. The execution unit is supported by a software static scheduler to automate the process of manual scheduling of operations at the lowest level of hierarchy, i.e., at the level of prime field arithmetic. We develop a hierarchical input format to support the tower of fields used to represent extension field elements involved in pairings. We optimize the overall performance of the cryptoprocessor by using an optimal number of multiplier units, capable of taking full advantage of the parallelism present in the algorithm and a single modular adder/subtractor, working in parallel with multipliers.
Leveraging Medical Visual Question Answering with Supporting Facts

In this working notes paper, we describe IBM Research AI (Almaden) team's participation in the ImageCLEF 2019 VQA-Med competition. The challenge consists of four question-answering tasks based on radiology images. The diversity of imaging modalities, organs and disease types combined with a small imbalanced training set made this a highly complex problem. To overcome these difficulties, we implemented a modular pipeline architecture that utilized transfer learning and multi-task learning. Our findings led to the development of a novel model called Supporting Facts Network (SFN). The main idea behind SFN is to cross-utilize information from upstream tasks to improve the accuracy on harder downstream ones. This approach significantly improved the scores achieved in the validation set (18 point improvement in F-1 score). Finally, we submitted four runs to the competition and were ranked seventh.
Indium Tin Oxide Metatronic Circuit Board for Analog Computing

Analog processors provide an equivalent model for very specific and complex problems. Here, we propose a nano-optics metatronic approach based on Epsilon-Near-Zero circuit, which provides accurate solution for Laplace differential equation similarly to a resistive mesh.
TLISI 2019: The New Academy: Trends for Future American Universities

Dr. Bryan Alexander is an internationally known futurist, researcher, writer, speaker, consultant, and teacher, working in the field of how technology transforms education. Bryan taught literature, writing, multimedia, and information technology studies at Centenary College of Louisiana, where he pioneered multi-campus interdisciplinary classes, while organizing an information literacy initiative.From 2002 to 2014, Bryan worked with the National Institute for Technology in Liberal Education (NITLE), a non-profit working to help small colleges and universities best integrate digital technologies. With NITLE, he held several roles, including co-director of a regional education and technology center, director of emerging technologies, and senior fellow. Over those years Bryan helped develop and support the nonprofit, grew peer networks, consulted, and conducted a sustained research agenda.In 2013 Bryan launched a business, Bryan Alexander Consulting, LLC. Through BAC he consults throughout higher education in the United States and abroad.This session began by developing present-day trends likely to shape higher education's futures. They included trends from outside the academy that nonetheless impact universities, including forces from demographics, macroeconomics, culture, policy, and geopolitics. Technological change drivers receive particular attention, from 3d printing to digital video, artificial intelligence, and the rapidly changing device ecosystem.Then, trends within higher education are explored. These included changes in enrollment, finance, and equity. They also included the intersection of education with technology. Alexander concludes with scenarios for future universities.
PrioriTTVs: A process aimed at supporting researchers to prioritize threats to validity and their mitigation actions when planning controlled experiments in SE

Researchers argue that a critical component of any empirical study in Software Engineering (SE) is to identify, analyze, and mitigate threats to validity. We propose PrioriTTVs, a process to support researchers in identifying and prioritizing threats to validity and their corresponding mitigation actions when planning controlled experiments in SE. We also introduce a tool to support the entire process. Empirical studies were conducted with six experts and 20 postgraduate students to evaluate the ease of use, learning, and perceptions of satisfaction regarding PrioriTTVs. So far, participants have considered PrioriTTVs to be useful (83%), significantly contributing to learning (90%), and satisfaction (75%). We believe both novice and expert users can benefit from the process we propose for addressing threats to validity when conducting SE experiments. We also intend to extend our approach to manage threats specific to different SE experiment contexts.
An annotated repository for MATLAB code (S)

Currently, there is the need for systems to manage repositories of MATLAB code bases capable of supporting global queries and feed their results to analyses components.Such features are not directly supported in current platforms.This paper presents a repository management system that supports queries over semi-automatically annotated code files and are able to associate them to higher level concepts.To meet this need, this paper proposes an approach that equips the repository with support for sophisticated queries over its stored code base and allows patterns to emerge from such queries, namely for visualisation and further analysis.This is achieved through the synergistic combination of a token-based metrics extraction component and a relational model fed by an ubiquitous data mining process.The code base is represented by means of relational knowledge, enabling intelligent queries that can be extended with new code metrics.Presently, query results are being used for the detection of concerns, including those whose code is scattered over multiple modular units.This paper outlines the proposed system's architecture and presents a proof-ofconcept implementation developed for MATLAB programs.It is evaluated by means of a set of illustrative queries over a seed repository of MATLAB systems.
UQ Library's journey towards FAIR research outputs - Advancement of Research Data Management and Digitisation Services

The growth of data and technology has deeply impacted on the ways that scientific research are practiced, bringing new challenges to academic libraries. In Australia, the recent worldwide movement to FAIR – findable, accessible, interoperable, and reusable - research, has seen institutions shift towards developing relevant policies and standards, so as to remain competitive in the global economy.This paper will discuss how The University of Queensland (UQ) Library has taken significant steps to achieving the FAIR principles for research outputs, within Digitisation and Research Data Management (RDM) services.The institutional repository, UQ eSpace is critical in supporting these services. It is used by researchers to publish datasets underpinning research publications, with librarians providing support to curate and enrich metadata records. A collection of licences can be applied, including two UQ specific click-through licences. There has also been a focus on delivering educational programs to promote best-practice RDM within the UQ research community. More recently, an integrated research data management system was developed and rolled-out across the University, enabling researchers to manage project data across the whole research lifecycle – a significant step towards FAIR data.Similarly, the FAIR principles are applied to digitised material, including heritage collections, to increase discoverability and use. Digitised objects are assigned persistent identifiers when uploaded into UQ eSpace, ensuring recognition over time. Licence and rights agreements are applied to enable reuse and correct acknowledgement of digital material. Metadata standards are also used to describe, manage and retrieve information about the digital objects and data, ensuring FAIR outputs.The UQ Library’s continued efforts in adapting and evolving their services, is critical in ensuring that researchers can work towards producing FAIR research outputs that are of world standard.
Improved K-Means Clustering for Target Activity Regular Pattern Extraction with Big Data Mining

The traditional target activity regular pattern extraction methods replay previous target tracks, activities of the specified target are manually analyzed by checking all the tracks on map. This paper adopts big data mining technology to solve the problem of automatically extracting target classic tracks and converts the original pure manual map analysis into system automatic track extraction. This method greatly reduces the operation intervention of classic track extraction, which can reduce the 3–4 manual days to 3–4 h.
Re-Shaping Business Strategy in the Era of Digitization

In the era of digitization terms such artificial intelligence (AI), internet of things (IoT) and related concepts are frequently used to describe a phenomenon that will eventually connect all things to digital networks that will lead to digital transformation of existing business and how they formulate strategies. One of the reasons behind such a paradigm shift is due to the demands of hyper-competition companies face in the global marketplace. Changing nature of the competitive landscape forces companies to re-think their strategy and align existing structures to achieve agility, flexibility, and a sustainable competitive advantage. Thus, companies need to re-think and conceptualize their overall strategies including the means to achieve sustainable competitive advantage. The trends that are shaping the Industry 4.0 will shape the way companies formulate strategies, create collaboration, and convergence of all the actors in the ecosystem to achieve agility, flexibility, and maximize efficiency.
The Language Use of Japanese Young People Seen through Basic Knowledge on Modern Terms

This paper surveys the change in the classification system of “Wakamono Kodoba” from 2017 to 2018 in terms of sustainability and neologies. First, the categories of Japanese “Wakamono Kodoba” increased from 8 in 2017 to 12 in 2018. As time changes, the word usage of youth is also changing to keep up with the latest trends. Second, the recent classification of Japanese young people’s word usage from 2017 to 2018 was analyzed with the expressions found in SNS: Photo, the expressions of play and companion, abbreviated expressions, expressions feeling world, the expressions of college life and job hunting, emphasizing and evaluating words, the expressions of love and sex, the expressions connecting the topic and making the relationship stronger, food life, the words used inadvertently by adult, and fashion. Third, as a result, we confirmed that the considerable words used by Japanese youth had continuity. These kinds of words have the features of fashion, play, companion, food life, etc. The words that are related to the Internet and SNS are a notable part of the rapid informatization. In this paper, we did not analyze how Japanese youth’s word usage changed in the times prior to 2017 because we surveyed only the youth’s word usage from 2017 to 2018. We need to confirm the trend of the words and its change through the comparative analysis of The Basic Knowledge on Modern Terms and Youth Trend Words (Wakamono Kodoba).
CELA: Cost-Efficient, Location-Aware VM and Data Placement in Geo-Distributed DCs

Geo-distributed data centres (DCs) that recently established due to the increasing use of on-demand cloud services have increasingly attracted cloud providers as well as researchers attention. Energy and data transmission cost are two significant problems that degrades the cloud provider net profit. However, increasing awareness about CO2 emissions leads to a greater demand for cleaner products and services. Most of the proposed approaches tackle these problems separately. This paper proposes green approach for joint management of virtual machine (VM) and data placement that results in less energy consumption, less CO2 emission, and less access latency towards large-scale cloud providers operational cost minimization. To advance the performance of the proposed model, a novel machine-learning model was constructed. Extensive simulation using synthetic and real data are conducted using the CloudSim simulator to validate the effectiveness of the proposed model. The promising results approve the efficacy of the CELA model compared to other competing models in reducing network latency, energy consumption, CO2 emission and total cloud provider operational cost.
Numbers, Booleans and None

In this chapter we will explore the different ways that numbers can be represented by the built-in types in Python. We will also introduce the Boolean type used to represent True and False. As part of this discussion we will also look at both numeric and assignment operators in Python. We will conclude by introducing the special value known as None.
study on the Knowledge, optimistic bias and engagement with AIDs in Nursing students

Our country is the only country with an increasing number of AIDS infections. To combat this reality, the knowledge and thought related to AIDS was to find out how it relates to the practice of preventing AIDS. The knowledge and optimistic bias and involvement of AIDS related to university students majoring in nursing were investigated to find out how the three variables were related. Statistical results were calculated using SPSS 18.0. Looking at the relationship between AIDS-related knowledge, optimistic bias, AIDS involvement, self-respect and self-control, the higher AIDS-related knowledge, the higher the self-esteem and self-control. The higher the optimistic bias, the higher the level of AIDS involvement, and the lower the self-respect and self-control. The higher the level of AIDS involvement, the higher the sense of self-respect, and the higher the self-esteem, the higher the sense of self-control. A high level of knowledge and involvement in AIDS is likely to be implemented as a positive health act on AIDS prevention. Therefore, we hope to reduce the growth rate of AIDS infections by providing accurate knowledge and information about AIDS, especially for teenagers and college students who are seeing an increase in AIDS infection.
A Dutch coreference resolution system with quote attribution

Coreference resolution is the task of identifying spans in text (mentions) that refer to the same entity. We present a rule-based coreference resolution system for Dutch, based on the Stanford deterministic multi-sieve architecture. The implementation is designed to support book-length documents. In addition to coreference, direct speech is attributed to its speaker and addressee using heuristic rules. Speakers are detected where explicitly mentioned, and this information is extrapolated assuming turn-taking of alternating interlocutors. Pronoun resolution exploits gender and animacy information on nouns from Cornetto, and gender of first names from the Meertens Voornamenbank. Our system improves on a previous system with the same architecture, GroRef, when evaluated on the CLIN26 shared task development set (BLANC 33.12 vs 31.48). Evaluation on the SemEval 2010 Dutch development set suggests that different annotation guidelines prevent the system from attaining a reasonable score; in particular, predicted mentions have a large effect on the score and the system’s decisions. With gold mentions our system does beat the Dutch system in SemEval 2010 (BLANC 66.75 vs 65.3). We also annotated the first 100 sentences of 10 novels, by manually correcting our system output. On these novels, our system obtains a BLANC score of 69.42%. Two obvious future work ideas suggest themselves. First, a classifier to improve detection of mentions and singletons (mentions that do not corefer). Second, since Sonar contains a 1 million word coreference dataset, there is sufficient data to train a deep learning system.
Automatic Generation of Virtual Assistants from Databases using Active Ontologies

Virtual assistants such as Siri or Google Assistant are omnipresent.However, their development remains costly.One must either manually model the problem domain or provide thousands of labeled samples.We propose to automatically create virtual assistants based on Active Ontologies for interacting with databases.Our approach generates Active Ontologies; we use the database structure to derive a concept hierarchy and database values together with synonyms to extract information from user queries.Our approach also learns common phrases from samples, e.g. from existing Dialogflow agents.We extract pre-and postfixes and attach them to concepts, e.g. at to detect a succeeding location.The generated Active Ontologies reply to previously unseen and composed requests.The approach is not limited to virtual assistants but can be applied to any system with a textual or voice-based conversational interface such as chatbots.We evaluate our approach in three domains: tourism, hotel, and web cams.The study shows that automatically generated Active Ontologies extract relevant information from user utterances with a precision of 58%.The precision increases to 79% (recall 46%, F1 58%) when we use sample utterances.Our approach successfully transfers between domains, e.g.we learn phrases from the tourism domain and use them to reply to hotel requests without any adjustments.
Educate student‐athletes, staff, coaches about proper use of NCAA transfer portal

ORLANDO, FLA. — To help ensure compliance with the new transfer portal process, your student‐athletes will need you to provide them with effective education. To get started, review the tips and strategies shared during a presentation by Daniel A. Cohen, Esq., partner with Nelson Mullins; Susan Peal, director of governance, National Letter of Intent at the National Collegiate Athletic Association; and Rachel Strassner, director of compliance at the University of North Carolina at Chapel Hill. They spoke at the annual convention for the National Association for Athletics Compliance.
Towards autonomous creation of service chains on cloud markets

Today, cloud services, such as virtual machines, are traded directly at fixed prices between consumers and providers on platforms, e.g. Amazon EC2. The recent development of Amazon's EC2 spot market shows that dynamic cloud markets are gaining popularity. Hence, autonomous multi-round bilateral negotiations, also known as bazaar negotiations, are a promising approach for trading cloud services on future cloud markets. They play a vital role for composing service chains. Based on a formal description we describe such service chains and derive different negotiation types. We implement them in a simulation environment and evaluate our approach by executing different market scenarios. Therefore, we developed three negotiation strategies for cloud resellers. Our simulation results show that cloud resellers as well as their negotiation strategies have a significant impact on the resource allocation of cloud markets. Very high as well as very low mark-ups reduce the profit of a reseller.
Tempurion: A Collaborative Temporal URI Collection for Named Entities

Web archives preserve the history of the Web and help users to access resources that may not be discoverable anymore by traditional web search engines due to changes or deletion. Navigating these vast archives without knowing the exact URI of interest has proven to be challenging. When typical information needs revolve around named entities, the retrieval and temporal ranking of related archived resources cannot be solved by simple full-text searches. In this paper, we demonstrate a web platform that provides an ordered and annotated collection of URIs that characterize named entities over specific time frames. To not only rely on existing datasets, we have implemented interactive mechanisms to get humans in the loop to expand the collection by contributing URIs, metadata and temporal information as well as to correct errors.
&amp;lt;i&amp;gt;Modal Analysis of Different Shape Knife Based on ANSYS&amp;lt;/i&amp;gt;

<b><sc>Abstract.</sc></b> <b>To choose the suitable knife,which is assembled on the King grass disc cutter,has the low violent vibration and high working reliability,the study has been established a model and a modal analysis by ANSYS software.Each order natural frequency and vibration model of eight knife with different shapes has been putting forward.The resulted showed the critical speed along with the order natural frequency.The study has determined working speed and structure parameters of King grass harvester cutter.</b>