Reviewerly/exHarmony huggingface dataset:
Guides: ORCID iD: Adding Publications to a Profile

A guide to understanding what is an ORCID, why researchers should be interested and how to obtain one of these unique identifiers.
Library: How to use the Reading List Tool (Leganto): Instructors

This guide gives you step-by-step instructions on how to access and create your course reading lists in the Reading List Tool through D2L
Construction of a Multi-Wavelength Unitary Operator via Cascaded Optical Resonators

In universal linear optics, programmable photonic circuits perform an arbitrary linear transformation by the sequential multiplication of two-level achromatic unitary operators. Based on cascaded optical resonator-based building blocks, we construct an arbitrary multi-wavelength unitary operator.
Report of the Conference “VARIATIONist Linguistics meets CONTACT Linguistics” (Ascona 2018)

Open AccessReport of the Conference “VARIATIONist Linguistics meets CONTACT Linguistics” (Ascona 2018)Pamela Goryczka, Virginie GremaudPamela GoryczkaSearch for more papers by this author, Virginie GremaudSearch for more papers by this authorhttps://doi.org/10.14220/9783737011440.17SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverWiener Arbeiten zur LinguistikVolume 6 1st editionISBN: 978-3-8471-1144-3 eISBN: 978-3-7370-1144-0HistoryPublished online:September 2020 Information© 2020, V&R unipress GmbH, Theaterstraße 13, 37073 Göttingen, GermanyDieses Werk ist als Open-Access-Publikation im Sinne der Creative-Commons-Lizenz BY International 4.0 („Namensnennung“) unter dem DOI 10.14220/9783737011440 abzurufen. Um eine Kopie dieser Lizenz zu sehen, besuchen Sie https://creativecommons.org/licenses/by/4.0/. Jede Verwertung in anderen als den durch diese Lizenz zugelassenen Fällen bedarf der vorherigen schriftlichen Einwilligung des Verlages.PDF download
Organizational culture and employee performance: moderation effect of transformational leadership style / Solomon Ozemoyah Ugheoke

The study examined the relationship between organizational culture and employee performance: moderation effect of transformational leadership style. The present study was designed to use a survey research method in studying organizational culture and employee performance: moderation effect of transformational leadership style. The units of analysis were the selected employees of ministry of higher education in Oman. Random sampling procedures was used which consisted of 250 employees drawn from employee identification numbers in the data base of the ministry of education in Oman. Multiple and Hierarchical regression analysis was employed to test the hypotheses. Result showed that supportive and bureaucratic culture has significant positive influence on employee performance. The findings also revealed that innovative culture does not influence employee’s performance in the context of public sector. Additionally, moderating effect of transformational leadership style was found. The study significantly contributes to culture literature by the inclusion of transformational leadership style as a moderator. Another contribution is the relative paucity of research regarding organizational culture and employee performance in the public sector. Hence, enhancing employee’s performance require managers to improve the culture of their organization to match organizations dynamic environment, understanding that certain types of culture and the type of leadership style employed by managers will help to enhance the cohesiveness of members and subsequently their performance. Thus, organizational culture should play a prominent role before employee’s recruitment. Managers should also be concerned with designing meaningful tasks and drawing up plans to promote culture.
Improving Statistical Inference through Flexible Approximations

Author(s): Li, Lingge | Advisor(s): Baldi, Pierre | Abstract: In the statistics and machine learning communities, there exists a perceived dichotomy be- tween statistical inference and out-of-sample prediction. Statistical inference is often done with models that are carefully specified a priori while out-of-sample prediction is often done with “black-box” models that have greater flexibility. The former is more concerned with model theoretical properties when data become infinite; the later focuses more on algorithms that scale up to larger data sets. To a scientist who is outside of these communities, the distinction of inference and prediction might not seem so clear. With technological advancements, scientists can now collect overwhelming amounts of data in various formats and their objective is to make sense of the data. To this end, we propose the synergy of statistical inference and prediction workhorses that are neural networks and Gaussian processes. Despite hardware improvements under Moore’s law, ever bigger data and more complex models pose computational challenges for statistical inference. To address these computational challenges, we approximate functional forms of the data to effectively reduce the burden of model evaluation. In addition, we present a case study where we use flexible models to learn scientifically interesting representations of rat memories from experimental data for better understanding of the brain.
The Transformation and Implementation of Scientific Research Evaluation System in University under the New Era Background

Improving the scientific research evaluation system of colleges and universities is an issue that colleges and universities in China attach great importance to, but there are still many problems in the scientific research evaluation system of colleges and universities in China from the current situation. From the perspective of the scientific research evaluation system itself, ignoring the quality of the evaluation content and attaching importance to the quantity of evaluation content, the simple evaluation mode, and the too single evaluation index are all important factors that affect the development of the university research evaluation system in China. Therefore, colleges and universities should constantly improve on existing problems when conducting scientific research evaluation, in order to promote the development and transformation of the scientific research evaluation system of colleges and universities in the new era, by improving the scientific research evaluation system, focusing on the overall development of the evaluation system, establishing a targeted scientific research evaluation system and other measures to achieve the development of university scientific research evaluation system.
UX Design of Augmented Reality House Configurator : Mobile AR Application and Web Administration Interface Design

Many of us find it difficult to make big decisions, building ahouse is one of them. It is perhaps the biggest investment andproject that one takes on. During a house building project, thereare many ...
Research Guides: Chromebooks for Class: Zotero & Hypothesis

This guide aims to be a basic introduction of the capabilities of a Chromebook for online classes and homework. It outlines how to access certain tools on a Chrome OS. For technology support, please submit a support ticket at help.evergreen.edu.
Beyond Miracle and Malaise : Social Capability in Côte d’Ivoire and Senegal during the Development Era 1930-1980

This paper investigates the outcome of the efforts to economically catch up during the so-called development era in French speaking West Africa. An attempt is made to measure and discuss key elements of social capability over the period 1930-1980 in Cote d'Ivoire and Senegal following Moses Abramovitz' interpretation of social capability. The paper distinguishes between four elements of social capability: degree of structural transformation, social and economic inclusion, the state's autonomy and its accountability. We find that there was significant but uneven progress in social capability in both countries during the development era. Despite their differences in economic performance both countries confronted fundamental shared challenges. Most notably, our analysis highlights how persistent lack of broad-based access to economic opportunities played a significant role in disrupting sustained economic and social progress in the two countries. This gives an opportunity to reflect on similarities and differences between the development era and the recent African growth phase. (Less)
LSC-CyFair Library Guides: Online Library Introduction (OLI): About the OLI

Al things OLI: pre-recorded asynchronous OLI, post-OLI survey, Glossary of Library Terms, and more.
LibGuides: Children's Literature: I Need Help

Information and resources relating to books for children and young adults. Find Assistance in All Things Library and Research
Probabilistic Reasoning and Markov Chains as Means to Improve Performance of Tuning Decisions under Uncertainty

Variable environmental conditions and runtime phenomena require developers of complex business information systems to expose configuration parameters to system administrators. This allows system administrators to intervene by tuning the bottleneck configuration parameters in response to current changes or in anticipation of future changes in order to maintain the system’s performance at an optimum level. However, these manual performance tuning interventions are prone to error and lack of standards due to fatigue, varying levels of expertise and over-reliance on inaccurate predictions of future states of a business information system. As a result, the purpose of this research is to investigate on how the capacity of probabilistic reasoning to handle uncertainty can be combined with the capacity of Markov chains to map stochastic environmental phenomena to ideal self-optimization actions. This was done using a comparative experimental research design that involved quantitative data collection through simulations of different algorithm variants. This provided compelling results that indicate that applying the algorithm in a distributed database system improves performance of tuning decisions under uncertainty. The improvement was quantitatively measured by a response-time latency that was 27% lower than average and a transaction throughput that was 17% higher than average.
LUMEN de LUMINE

Author(s): Steuernagel, Marcio | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Personalized Dyadic Chatbot Conversations: The influence of human and chatbot personality on customer satisfaction within the e-commerce domain

Chatbots have been considered as one of the leading technologies in the e-commerce domain as virtual shopping assistants able to guide customers throughout the entire shopping experience automatically. However, this technology is currently registering a high failure rate, and several users are still skeptical of its effectiveness. One of the reasons for this low performance lies in the fact that chatbots have a poor human-likeness that negatively influences customer perception of the technology. Secondly, the low level of personalization does not allow for tailored services based on customers’ needs and requirements. Previous studies discovered that it is possible to attach specific personality traits to chatbots in order to increase their human-likeness. Besides, other researchers have discovered the importance of service personalization as a distinctive requirement for successful e-commerce businesses. Depending on consumers’ decision-making behaviour, scientists have found that different services lead to different levels of customer satisfaction. The present study explored the two sides of Human-Computer Interaction with the final aim of understanding how to better align chatbot personality with human decision-making personality. Two different chatbot personalities (neutral and extravert) were created and randomly assigned to different users. During the experiment, participants had to complete a real chatbot conversation focused on dress shoes and were asked to conduct a post-interaction questionnaire to assess their satisfaction. Results showed that it is possible to effectively attach an extravert personality into a chatbot conversation through the use of language, emoticons and GIFs. Moreover, participants with different personal decision-making behaviour and gender registered different levels of customer satisfaction. Finally, the chatbot neutral personality registered different level of customer satisfaction depending on gender and personal decision-making behaviour. These findings support the literature by analyzing the complementary relationship between chatbot and human personalities. Future studies could use these findings to develop chatbot experiences that better fit with customer needs and requirements.
Análise de associações entre transações de compra em um banco de dados de uma empresa de comércio eletrônico: aplicação do algoritmo apriori

This paper uses the Apriori recommendation algorithm to extract association rules from an electronic commerce transaction database and the BCG Matrix as a tool to make a similar strategic analysis of these rules. The historical basis contains all transactions that took place between 12/01/2010 and 12/09/2011. The methodology of the work is summarized in data preparation and extraction of rules with codes developed using python language and auxiliary libraries and, evaluation of rules and presentation of knowledge. As a result of the work, 116 association rules were obtained, which were separated into 4 quadrants and proposed for each of them.
Keynote: Using Blockchain to Empower Digital Government

Blockchain is the technology used by developers of cryptocurrencies, like Bitcoin, to enable exchange of financial ”coins” between participants in the absence of a trusted third party to insure the transaction, such as is typically done by governments. We introduce blockchains, describe their concepts, layout the challenges in using them, and discuss use cases from a governmental viewpoint. We find that a certain type of blockchain, permissionless, has not been adopted in governmental settings, and conclude that permissioned blockchains may best be suited to them due to better scalability, lack of anonymity, and better data integrity guarantees.
LibGuides: Scalar: An Introduction: Building Pages and Paths

This is a short introductory guide to using the Scalar publishing platform. This page explores how to organize content in Scalar.
LibGuides: Off Campus/Remote Library Access: Natural Sciences

This guide is intended to be a quick, helpful place to answer basic questions about Library Resources -- and how you can access them off campus. Our Top Ten List of Natural Sciences-related resources are found here, along with tips & tricks for accessing these materials off campus ...
SJSU Research Guides: Library Resources and Services: Student Technology Training

This guide contains information about the library resources and services that are available during the COVID-19 closure.
Building an interactive visualization tool for athletes’ performance data

The world of competitive sports is becoming more and more interested in data analysis. Using sensors to track actions and trajectories produces large datasets that could be hard to draw conclusions ...
What Dreams About The (Im)Perfect Tell Us about The Avant-Gardists

By the late 2010s, the Russian avant-garde continues to merit our close attention.1 Some of today’s most influential Russian poets rediscover and revitalize its artistic and political legacy (Bozovic under review). In Amsterdam curators revive Malevich’s conviction that ‘the entire living world is ready to fly into space’ (Waag 2019), while slavist Sjeng Scheijen brought to life ‘the magic, the exaltation, and the drama of the Russian avant-garde’ in a study that is spawning raving reviews in leading Dutch dailies (Veraart 2019 on Scheijen 2019). Meanwhile, a transnational range of cultural theorists and practitioners claim that ‘the idea of the avant garde has an increased importance’ today, ‘in these times of global political crisis’ (Leger 2014). The ongoing relevance of the avant-garde outlook on life has long been self-evident to the addressee of this Festschrift. With this analysis, we honor both the legacy of her work and of the Russian avant-garde by highlighting the diversity within avant-gardist art and thinking. In 1975, in an influential essay on contemporary cinema, film theoretician Peter Wollen already argued that, rather than speaking of the avant- garde, we should distinguish between ‘two avant-gardes’ – one that shared an interest in painting, another that operated primarily in theatre and sound-poetry (Wollen 2018). In Wollen’s wake, several scholars have reverted to the plural form to underline diversity and heterogeneity among avant-garde practitioners and their heirs (among others, see Harding 2013; Seita 2019; Scheijen 2019). Despite this insistence on diversity, in popular usage ‘the avant-garde’ is still imagined as a neatly undifferentiated whole. In the analysis that follows, we contribute to the scholarly move away from this monolithic approach by comparing how influential Russian avant-gardists conceptualized two notions that played a perennial role in theorizing of the time: the concepts of imperfection and perfection.
Research Hub: OpenRiver: A Digital Repository for Southeast Minnesota: Propose a Collection

Learn about journals published in OpenRiver. OpenRiver collections are created in partnership with WSU departments and other organizations. Contact us to discuss a partnership or interest in a new collection.
SENSITIV – Mapping Design of Movement Data to Sound Parameters when Creating a Sonic Interaction Design Tool for Interactive Dance

Technology has during the last decades been adopted into the dance art form which has appeared as interactive dance. Many studies and performances have been conducted investigating this merging of ...
Convolutional Attention Network with Maximizing Mutual Information for Fine-Grained Image Classification

Fine-grained image classification has seen a great improvement benefiting from the advantages of deep learning techniques. Most fine-grained image classification methods focus on extracting discriminative features and combining the global features with the local ones. However, the accuracy is limited due to the inter-class similarity and the inner-class divergence as well as the lack of enough labelled images to train a deep network which can generalize to fine-grained classes. To deal with these problems, we develop an algorithm which combines Maximizing the Mutual Information (MMI) with the Learning Attention (LA). We make use of MMI to distill knowledge from the image pairs which contain the same object. Meanwhile we take advantage of the LA mechanism to find the salient region of the image to enhance the information distillation. Our model can extract more discriminative semantic features and improve the performance on fine-grained image classification. Our model has a symmetric structure, in which the paired images are inputted into the same network to extract the local and global features for the subsequent MMI and LA modules. We train the model by maximizing the mutual information and minimizing the cross-entropy stage by stage alternatively. Experiments show that our model can improve the performance of the fine-grained image classification effectively.
Standardisation Information Day to be held on 29 January 2020 at UIC Paris – UIC Communications

The UIC Standardisation unit is pleased to invite you to the Standardisation Information Day during which those responsible for Standardisation and experts will learn more about: UIC M2 document…
Adding Smart Visualizations

We have already seen some smart visualizations in the previous chapters (Q&A, Key Influencers, and Decomposition Tree). Besides those standard visuals, you have access to so-called custom visuals from a marketplace (called AppSource). The marketplace is maintained by Microsoft and is filled with interesting additional visualizations built by several different companies (Microsoft and others). Most of them are free to use, but some will ask you for a fee before you can use their full capabilities (such Power BI visuals are hinted with May require additional purchase). In this chapter, we will look at a selection of visualizations offered by Microsoft under the section “Advanced Analytics.” All of the following are free to use:
Color and style transfer using Generative Adversarial Networks

In this work, we present an end-to-end solution for an image to image color and styletransfer using Conditional Generative Adversarial Networks. Nowadays photo editingindustry is growing rapidly, and one of the crucial issues is recoloring andrestyling of individual objects or areas on images. With a fast advancement of deepsegmentation models, getting a precise segmentation mask for an area on a pictureis no longer a problem although unsupervised restyling and recoloring of the objectwith complex patterns is still a challenge. The proposed model is a state-of-the-artregarding visual appearance and provides high structural similarity.
LibGuides: 1st Grade: Research Resources: Home

eBook setup and login information plus guidelines, databases, and information for safe and effective research.
Automated Configuration in Adaptive IoT Software Ecosystems to Reduce Manual Device Integration Effort: Application and Evaluation of a Novel Engineering Method

Existing scientific approaches that integrate non-standardized software components automatically are seldom used in practice. Consequently, practitioners currently rely on standardization initiatives or they implement software adapters manually. However, standards quickly lose their claim for correctness as fast innovation cycles prohibit timeliness of machine-understandable domain standards for open and dynamically evolving software ecosystems. Although scientifically driven approaches can be applied in order to automatically generate software adapters reliably, they require a formal mapping specification for all possible integrations between a provided and a required interface at system design-time. In contrast, imprecise matching approaches based on service specifications can be applied at run-time but cannot produce reliable interface mappings. In this paper, we provide our first evaluation for a novel integration method that can integrate components automatically based on incomplete mapping knowledge. Although this method explicitly embraces manual integration efforts, we aim at achieving automatic adapter generation by making additionally formalized integration knowledge reusable. By storing integration knowledge only when a concrete use case is present, generated software adapters remain reliable. Using an empirical within-subject evaluation design, we quantify how reusing formal interface mappings can speed up integration tasks in an agile development setting. We expect the proposed method to be applied in adaptive software ecosystems that evolve in short innovation cycles such as the Internet-of-Things.
Loma Linda University Libraries: Earth & Biological Sciences Guide: Research Help

A guide to the information resources for students in the Department of Earth & Biological Sciences
LibGuides: Scholarship Resources: Information Technology Scholarships

This guide will give you ideas on where to apply for scholarships and will share library resources on scholarship application success.