Digital Commons Network^™

Autobiographical Multigenre Project, Cindy D'On Jones

The Utah English Journal

This Autobiographical Multigenre Project is designed to incorporate several motivational supports for adolescent students, including promoting development of identify as a reader, a writer, and a user of literacy.

This project also serves as an instructional scaffold for future multigenre projects. Each student is an "expert" on the topic of self This allows students to learn the process of a creating a multigenre project while minimizing the cognitive load of investigation required for multigenre projects about less-familiar topics.

Artificial Intelligence And Law: An Overview, Harry Surden

Publications

Much has been written recently about artificial intelligence (AI) and law. But what is AI, and what is its relation to the practice and administration of law? This article addresses those questions by providing a high-level overview of AI and its use within law. The discussion aims to be nuanced but also understandable to those without a technical background. To that end, I first discuss AI generally. I then turn to AI and how it is being used by lawyers in the practice of law, people and companies who are governed by the law, and government officials who administer the …

Mandatory Disclosure In Primary Markets, Andrew A. Schwartz

Publications

Mandatory disclosure—the idea that companies must be legally required to disclose certain, specified information to public investors—is the first principle of modern securities law. Despite the high costs it imposes, mandatory disclosure has been well defended by legal scholars on two theoretical grounds: ‘Agency costs’ and ‘information underproduction.’ While these two concepts are a good fit for secondary markets (where investors trade securities with one another), this Article shows that they are largely irrelevant in the context of primary markets (where companies offer securities directly to investors). The surprising result is that primary offerings—such as an IPO—may not require mandatory …

Binary Governance: Lessons From The Gdpr’S Approach To Algorithmic Accountability, Margot E. Kaminski

Publications

Algorithms are now used to make significant decisions about individuals, from credit determinations to hiring and firing. But they are largely unregulated under U.S. law. A quickly growing literature has split on how to address algorithmic decision-making, with individual rights and accountability to nonexpert stakeholders and to the public at the crux of the debate. In this Article, I make the case for why both individual rights and public- and stakeholder-facing accountability are not just goods in and of themselves but crucial components of effective governance. Only individual rights can fully address dignitary and justificatory concerns behind calls for regulating …

Keynote: The Protection Of Lgbt Youth, Craig Konnoth

Publications

This keynote contains three parts. Part I addresses the intersection of two metaphors: medicine and childhood in LGBT Rights. Part II addresses the state regulation of LGBT youth. Part III offers Professor Konnoth's concluding remarks on the protection of LGBT youth.

End Matter

AWE (A Woman’s Experience)

No abstract provided.

Reddit As An Analogy For Scholarly Publishing And The Constructed, Contextual Nature Of Authority, Anna M. White

Communications in Information Literacy

This paper provides an overview of how the social news site Reddit can be used as an example of the ACRL Framework for Information Literacy for Higher Education threshold concept “Authority is Constructed and Contextual.” It posits that the construction and context of authority in the sense of Wilson’s concept of cognitive authority is in the inherent structure of Reddit and that students can benefit from an example that easily links their personal and academic lives—a connection not always made when discussing authority in peer-reviewed publications or databases.

Market Value Analysis Of Takashi Murakami's Artwork Under Howard Becker's Theory, Liu Yi-Ding

MA Theses

This paper is an analysis about the artist Takashi Murakami. As a representative of the corporate artist, he is favored by the Art business world while being criticized by many people. This paper adopts American sociologist Howard Becker's art world theory as a research tool to observe that the construction of Murakami and his art market is not the growth of genius, but the result of collective cooperation. Based on two decades of data on the art trade, Murakami has made his unique brand of ultra-flat theory and otaku work. These labels, along with internalization and external marketing, eventually gave …

The Care Principles For Indigenous Data Governance, Global Indigenous Data Alliance

Copyright, Fair Use, Scholarly Communication, etc.

The CARE Principles for Indigenous Data Governance

The current movement toward open data and open science does not fully engage with Indigenous Peoples rights and interests. Existing principles within the open data movement (e.g. FAIR: findable, accessible, interoperable, reusable) primarily focus on characteristics of data that will facilitate increased data sharing among entities while ignoring power differentials and historical contexts. The emphasis on greater data sharing alone creates a tension for Indigenous Peoples who are also asserting greater control over the application and use of Indigenous data and Indigenous Knowledge for collective benefit.

This includes the right to create value …

Front Matter

BYU Studies

No abstract provided.

Why We Publish Where We Do: Faculty Publishing Values And Their Relationship To Review, Promotion And Tenure Expectations, Meredith T. Niles, Lesley A. Schimanski, Erin Christy Mckiernan, Juan P. Alperin

Copyright, Fair Use, Scholarly Communication, etc.

Using an online survey of academics at 55 randomly selected institutions across the US and Canada, we explore priorities for publishing decisions and their perceived importance within review, promotion, and tenure (RPT). We find that respondents most value journal readership, while they believe their peers most value prestige and related metrics such as impact factor when submitting their work for publication. Respondents indicated that total number of publications, number of publications per year, and journal name recognition were the most valued factors in RPT. Older and tenured respondents (most likely to serve on RPT committees) were less likely to value …

Fractional Authorship & Publication Productivity, Kate Gasson, Rachel Herbert, Alex Ponsford

Copyright, Fair Use, Scholarly Communication, etc.

Authors divide their research output across publications, contributing via research collaborations

The trend is for authors to produce more publications per year (increased fractionalization) but for the overall number of publications per author to decrease

We suggest that the effort required to participate in research collaborations is a factor in the decrease in publications per author

Are authors collaborating more in response to the pressure to publish?

Growth in the number of scholarly publications each year has been well documented (e.g., Bornmann & Mutz, 2015, Figure 1). But how has that growth been achieved? Is it purely due to increasing …

Ectopia Lentis, Pratheek Prabhu

Digital Journal of Clinical Medicine

No abstract provided.

Galliformes Specialist Group Annual Report 2019, John P. Carroll, Simon D. Dowell

Galliformes Specialist Group and Affiliated Societies: Reports and Other Materials

Annual report of the IUCN SSC Galliformes Specialist Group, 2019.

The Home And Child-Care: Are Preschoolaged Children Getting Mixed Food-Related Messages?, Noereem Zenaida Mena

Open Access Dissertations

Statement of the Problem: In the United States, nearly 14% of preschool-aged children (ages 2 to 5) are obese. Additionally, disparities persist, with the highest prevalence of obesity among Hispanic preschool-aged children (17% vs. 11% non-Hispanic Black and 3.5% non- Hispanic White preschool-aged children). Establishing healthy eating habits in early childhood is critical and providing children with similar opportunities to practice healthy eating habits independently at home and in child care is thought to reinforce the development of healthy eating habits early in life. However, there is limited information regarding how parents and childcare providers communicate about child-nutrition, including …

Future Of Scholarly Publishing And Scholarly Communication: Report Of The Expert Group To The European Commission, Directorate-General For Research And Innovation (European Commission), Jean-Claude Guédon, Jubb Consulting, United Kingdom, Bianca Kramer, Mikael Laakso, Birgit Schmidt, Elena Šimukovič, Jennifer Hansen, Robert Kiley, Anne Kitson, Wim Van Der Stelt, Kamilla Markram, Mark Patterson,

Copyright, Fair Use, Scholarly Communication, etc.

The Expert Group on the Future of Scholarly Publishing and Scholarly Communication was set up to support the policy development of the European Commission on Open Science. The Expert Group was asked to assess the current situation with regard to scholarly communication and publishing and to establish general principles for the future. This report analyses the recent past and present states of scholarly communication and publishing. It proposes ten principles through which a vision for scholarly communication is shaped over the next 10-15 years. These principles also serve as a way to examine shortcomings of the current scholarly communication and …

The Need For Speed: How Quickly Do Preprints Become Published Articles?, Rachel Herbert, Kate Gasson, Alex Ponsford

Copyright, Fair Use, Scholarly Communication, etc.

bioRxiv’s option for authors to submit biology preprints directly to journals typically speeds up publication of articles by nearly 2 weeks—an advantage for authors who are keen to get their work published quickly

Authors approach ‘preprinting’ in different ways: while most post a preprint before submitting to a journal, just over a third of preprints were submitted to and accepted by a journal before the preprint appeared on bioRxiv

Biology preprints with just one version are published 2 weeks more quickly than those with multiple versions

How 13 Seconds Changed History: Macrocosm And Microcosm Interpretations Of The Kent State Shooting And Its Influence, Megan Uren

Undergraduate Student Research Awards

No abstract provided.

Mirabile Dictu: Newsletter Of The Bryn Mawr College Libraries 22 (2019)

Mirabile Dictu: Newsletter of the Bryn Mawr College Libraries

No abstract provided.

A Comparative Study Of Author Gender Identification, Tuğba Yildiz

Turkish Journal of Electrical Engineering and Computer Sciences

In recent years, author gender identification has gained considerable attention in the fields of information retrieval and computational linguistics. In this paper, we employ and evaluate different learning approaches based on machine learning (ML) and neural network language models to address the problem of author gender identification. First, several ML classifiers are applied to the features obtained by bag-of-words. Secondly, datasets are represented by a low-dimensional real-valued vector using Word2vec, GloVe, and Doc2vec, which are on par with ML classifiers in terms of accuracy. Lastly, neural networks architectures, the convolution neural network and recurrent neural network, are trained and their …

Combined Feature Compression Encoding In Image Retrieval, Lu Huo, Leijie Zhang

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, features extracted by convolutional neural networks (CNNs) are popularly used for image retrieval. In CNN representation, high-level features are usually chosen to represent the images in coarse-grained datasets, while mid-level features are successfully applied to describe the images for fine-grained datasets. In this paper, we combine these different levels of features as a joint feature to propose a robust representation that is suitable for both coarse-grained and fine-grained image retrieval datasets. In addition, in order to solve the problem that the efficiency of image retrieval is influenced by the dimensionality of indexing, a unified subspace learning model named spectral …

Evolutionary Approaches For Weight Optimization In Collaborative Filtering-Based Recommender Systems, Sevgi̇ Yi̇ği̇t Sert, Yilmaz Ar, Gazi̇ Erkan Bostanci

Turkish Journal of Electrical Engineering and Computer Sciences

Collaborative filtering is one of the widely adopted approaches in recommender systems used for e-commerce applications, stating that users having similar tastes will have similar preferences in the future. The literature presents a number of similarity metrics such as the extended Jaccard coefficient to quantify these preference similarities. This paper aims to improve prediction accuracy by optimizing the similarity values computed using these metrics by adopting two biologically inspired approaches, namely artificial bee colony and genetic algorithms, with a bottom-up approach, suggesting that any improvement on a single-user basis will reflect on the overall prediction accuracy. Detailed statistical analysis was …

Web Personalization Issues In Big Data And Semantic Web: Challenges Andopportunities, Bujar Raufi, Florije Ismaili, Jaumin Ajdari, Xhemal Zenuni

Turkish Journal of Electrical Engineering and Computer Sciences

Web personalization is a process that utilizes a set of methods, techniques, and actions for adapting the linking structure of an information space or its content or both to user interaction preferences. The aim of personalization is to enhance the user experience by retrieving relevant resources and presenting them in a meaningful fashion. The advent of big data introduced new challenges that locate user modeling and personalization community in a new research setting. In this paper, we introduce the research challenges related to Web personalization analyzed in the context of big data and the Semantic Web. This paper also introduces …

Patient Comfort Level Prediction During Transport Using Artificial Neural Network, Zeljko Jovanovic, Marija Blagojevic, Dragan Jankovic, Aleksandar Peulic

Turkish Journal of Electrical Engineering and Computer Sciences

Since patient comfort during transport is a matter of paramount importance, this paper aims to determine the possibilities of applying neural networks for its prediction and monitoring. Specific objectives of the research include monitoring and predicting patient transport comfort, with subjective assessment of comfort by medical personnel. An original Android application that collects signals from an accelerometer and a GPS sensor was used with the aim of achieving the research goals. The collected signals were processed and a total of twelve parameters were calculated. A multilayer perceptron was created in the proposed research. The evaluation results indicate acceptable accuracy and …

Hgab3c: A New Hybrid Global Optimization Algorithm, Kamaljeet Kaur, Shakti Kumar, Jyoti Saxena

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes a new optimization algorithm, namely HGAB3C, and presents its performance on the CEC-2014 test suite. In HGAB3C, simple genetic algorithms (GAs) and big bang-big crunch (BB-BC) are hybridized. The algorithm carries out global searches using a simple GA. In every generation the BB-BC algorithm is used to carry out local searches. The addition of local search has improved the capability of simple GAs significantly. The performance of the proposed algorithm is compared with 17 other optimization algorithms on all 30 functions of the CEC-2014 benchmark suite. It is observed that HGAB3C outperforms all other algorithms on 4 …

A Transmission Optimization Algorithm For Smart Load Controllers, Ohyoung Song

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces a transmission optimization algorithm for wireless transmissions between smart load controllers and a corresponding gateway in wireless personal area networks, where smart load controllers connect several electrical appliances through their corresponding load interfaces, measure the power consumption from each electrical appliance connected to the load controller, and control on/off switching through its load interface. The aim of this paper is to reduce the traffic load of power consumption data in electrical appliances used in the building area network and the smart grid network. The proposed algorithm allows the smart load controller to efficiently reduce traffic load even …

A Novel And Unified Approach For Averaged Channel Capacity And Averagedeffective Capacity Analyses Of Diversity Combining And Multihop Transmissionschemes In Flat Fading Environments, Ferkan Yilmaz, Mohamed-Slim Alouini

Turkish Journal of Electrical Engineering and Computer Sciences

n this paper, we introduce an Lp -norm aggregation to present a signal-to-noise ratio expression unified not only for such diversity combining schemes as equal-gain combining, maximal-ratio combining, and selection combining, but also for such transmission techniques as multihop transmission. Accordingly, we propose two moment-generating function-based approaches that both respectively unify the exact analyses of the averaged channel capacity and averaged effective capacity over generalized fading channels with respect to the diversity combining and multihop transmission schemes. Finally, the mathematical formalism is illustrated by numerical special cases and verified by simulations.

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Finite Integration Method With Chebyshev Expansion For Finding Numerical Solution Of Nonlinear And Fractional Order Differential Equations, Ampol Duangpan

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this dissertation, we develop the finite integration method by using Chebyshev polynomial expansion (FIM-CPE) for solving one- and two-dimensional nonlinear differential equations. The developed FIM-CPE can be used on any domains. Then, we utilize our FIM-CPE to deal with the spatial variable and the forward difference quotient to handle the derivative involving temporal variable. Thus, the numerical algorithms based on this idea are devised to overcome three nonlinear problems including one-dimensional Burgers' equation with shock wave, time-fractional Benjamin-Bona-Mahony-Burgers' equation and two-dimensional nonlinear Poisson equation over irregular domains. Moreover, we examine our algorithms with several experimental examples by comparing the …

Studies Of Beta-Cardiotoxin From King Cobra Venom On Rat Cardiac Functions: Effect On Isolated Single Cardiomyocyte, Tuchakorn Lertwanakarn

Chulalongkorn University Theses and Dissertations (Chula ETD)

Beta-cardiotoxin (ß-CTX), a novel protein isolated from the King cobra (Ophiophagus hannah) venom has previously been proposed as a beta-blocker candidate. However, cellular mechanisms of ß-CTX on cardiomyocyte is unknown. This study aimed to evaluate the impact of ß-CTX on isolated rat cardiomyocyte function and the cardiac myofibrillar activity, and to explore involvement of ß-adrenergic receptor (ß-AR) signaling pathway. ß-CTX was isolated and purified using two-step chromatographic method and confirmed by N-terminal sequencer. The function of ß-CTX on cardiomyocyte was compared to propranolol in 3 conditions, basal state, with isoproterenol (ISO), and with forskolin (FSK). ß-CTX exhibited more potency than …