Reviewerly/exHarmony huggingface dataset:
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks

The problem of unsupervised domain adaptation arises in a variety of practical applications where the distribution of the training samples differs from those used at test time. The existing theory of domain adaptation derived generalization bounds based on divergence measures that are hard to optimize in practice. This has led to a large disconnect between theory and state-of-the-art methods. In this paper, we propose a novel domain-adversarial framework that introduces new theory for domain adaptation and leads to practical learning algorithms with neural networks. In particular, we derive a novel generalization bound that utilizes a new measure of discrepancy between distributions based on a variational characterization of f-divergences. We show that our bound recovers the theoretical results from Ben-David et al. (2010a) as a special case with a particular choice of divergence, and also supports divergences typically used in practice. We derive a general algorithm for domain-adversarial learning for the complete family of f-divergences. We provide empirical results for several f-divergences and show that some, not considered previously in domain-adversarial learning, achieve state-of-the-art results in practice. We provide empirical insights into how choosing a particular divergence affects the transfer performance on real-world datasets. By further recognizing the optimization problem as a Stackelberg game, we utilize the latest optimizers from the game optimization literature, achieving additional performance boosts in our training algorithm. We show that our f-domain adversarial framework achieves state-of-the-art results on the challenging Office-31 and Office-Home datasets without extra hyperparameters.
LibGuides: Human Resource Management: Background Information

Library resources guide for the Human Resource Management B.S.B.A. at Saint Joseph's College of Maine
The duality of makeup: empowering or concealing? A qualitative study of discourses on makeup and empowerment through makeup on YouTube constructed by young female American beauty bloggers

In modern Western societies, feminist and post-feminist movements have facilitated aprominent discourse on the ideas of female empowerment. However,, advertisers tookfeminist and post-feminist values out of their original political context and repurposed theminto for-profit commercial strategies by assuring women that they can achieve empowermentthrough consumption of beauty products. Existing literature extensively discusses theconcepts of feminism, empowerment, makeup and social media, however, a study that wouldlook into the representation of makeup and makeup empowerment on social media using afeminist perspective seems missing. This thesis aimed to fill the gap related to theconstruction of empowerment through makeup on social media and tried to answer thefollowing research question: How do young female American beauty bloggers constructdiscourses on empowerment through makeup in their makeup tutorials on YouTube? A subquestion that will complement the main question is: How do young female American beautybloggers construct discourses on makeup in their makeup tutorials on YouTube? Moreover,this thesis also intended to determine whether there were differences in the discussions onmakeup empowerment in two distinct types of makeup tutorials with the help of the followingsub-question: Do the empowerment discourses differ between natural and ‘full glam’ makeuptutorials? This thesis aimed to provide the answer to the research questions by studyingcontemporary discourses on makeup constructed by seven young female American beautybloggers. Seven natural makeup tutorials and seven ‘full glam’ makeup tutorials have beenexamined using critical discourse analysis. All videos were transcribed verbatim and thetranscriptions were examined using critical discourse analysis (CDA). CDA revealed theunequivocal positive representation of makeup in the tutorials, along with three distinct typesof empowerment discourses: ‘transformation’, ‘explicit’ and ‘creativity & skills’ discourses,within which empowerment is linked to makeup for various reasons. It has been concludedthat among the selected tutorials, using makeup is associated with a positive way to engagein self-care, express creativity, embrace the transformation and take pride in one’s alteredappearance.
Identifying themes in fiction: A centroid-based lexical clustering approach

In recent years, numerous computational methods have been developed that have been widely used in humanities and literary studies. In spite of the potential of such methods in providing workable solutions to various inherent problems in research within these domains, including selectivity, objectivity, and replicability, very little empirical work has been done on thematic studies in literature. Such studies are almost entirely undertaken through traditional methods based on individual researchers’ reading of texts and intuitive abstraction of generalizations from their reading. This has negative implications in terms of issues of objectivity and replicability. Furthermore, there are challenges in dealing effectively with the hundreds of thousands of new novels that are published every year using traditional methods. In the face of these problems, this study proposes an integrated computational model for the thematic classification of literary texts based on lexical clustering methods. This study is based on a corpus comprising Thomas Hardy’s novels and short stories. The study employs computational semantic analysis based on a vector space model (VSM) representation of the lexical content of the texts. The results indicate that the selected texts could be grouped thematically based on their semantic content. Thus, there is now evidence that text clustering approaches, which have long been used in computational theory and data mining applications, can be usefully applied in literary studies.
Corrections to “Preference-Based Privacy Markets”

In the above article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">we importantly missed out on generalizing the application scope</i> to the inter-disciplinary contributions made in the article. It is essential to educate the readers on an increasing variety of novel and highly practical <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">modern-day application families</i> where the contributions made in <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> are equally applicable—not just the evident application pertaining to mobile-ad ecosystems, as in <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> .
A NEAT quantum error decoder

We investigate the use of the evolutionary NEAT algorithm for the optimization of a policy network that performs quantum error decoding on the toric code, with bitflip and depolarizing noise, one qubit at a time. We find that these NEAT-optimized network decoders have similar performance to previously reported machine-learning based decoders, but use roughly three to four orders of magnitude fewer parameters to do so.
On Mongolian College Students’ Chinese-English Word Recognition Based on Eye Movement

Abstract For Mongolian college students, the typical trilinguals, the word processing is quite different from that for bilinguals. The article designed two experiments, including visual and auditory word recognition (the priming words were Chinese, while competitive words were English). Eye tracker was used to capture the data and SPSS was utilized to analyze the results, finding that the cross-language word recognition (from Chinese to English) for Mongolian college students was completed through phonological mediation.
Getting Started Getting Students Modeling: Designing and Facilitating Open-ended Math Modeling Experiences

“Modeling” is a term that has several meanings in general, but particularly in mathematics. Here math modeling refers to the process of creating a mathematical representation of a real-world scenario to make a prediction or provide insight. There is a distinction between using a formula that arises from an application (for example, distance equals rate times time) and the actual creation of a mathematical relationship itself that can be useful in an applied setting. In this two part workshop, we demonstrate how to develop authentic math modeling challenge problems that are accessible and relevant to students. In the second part of the workshop we talk about how to facilitate math modeling so that students have an opportunity to be creative and innovative in their modeling process while having ownership over their solution.
MANAJEMEN PEMBELAJARAN BTQ MELALUI METODE IQRA UNTUK MENINGKATKAN KEMAMPUAN MEMBACA ALQURAN

Reading the Qur'an for Muslims is a worship of Allah. How to plan, organize, implement, and evaluate the Qur'an Reading (BTQ) learning through the Iqro method 'in an effort to improve the ability to read Alquran at MIN 6 Pangandaran Regency? The aim is to find out and analyze the planning, organizing, implementing, and evaluating learning to read the Qur'an (BTQ) through the Iqro method 'in an effort to improve the ability to read the Qur'an. With descriptive qualitative methods, in an effort to obtain a general picture of matters relating to the management of learning to read and write the Qur'an. The data sources are BTQ teachers and students. Secondary data in the form of information from people and notes; books, reports and other forms. The results of the research show that Iqro learning planning 'is administratively unorganized and not conceptualized. Organizing BTQ learning through the Iqro method 'has not been applied professionally and proportionally. Iqro learning 'in class homogeneously according to each volume. While in the selection of methods applied in learning the Iqro method 'at MIN 6 Pangandaran, they are: individual, classical individual, classical reading refer to, reading, writing, lecturing and reading practice. Evaluations applied in BTQ through the Iqro method 'are in accordance with the Iqro manual' but are not well administered. There is no administrative data on the evaluation results.
Does Scientific Progress Affect Culture? A Digital Text Analysis

We study the interplay between scientific progress and culture through text analysis on a corpus of about eight million books, with the use of techniques and algorithms from machine learning. We focus on a specific scientific breakthrough, the theory of evolution through natural selection by Charles Darwin, and examine the diffusion of certain key concepts that characterized this theory in the broader cultural discourse and social imaginary. We find that some concepts in Darwin’s theory, such as Evolution, Survival, Natural Selection and Competition diffused in the cultural discourse immediately after the publication of On the Origins of Species. Other concepts such as Selection and Adaptation were already present in the cultural dialogue. Moreover, we document semantic changes for most of these concepts over time. Our findings thus show a complex relation between two key factors of long-term economic growth – science and culture. Considering the evolution of these two factors jointly can offer new insights to the study of the determinants of economic development, and machine learning is a promising tool to explore these relationships.
Symmetric Monoidal Categories with Attributes

When designing plans in engineering, it is often necessary to consider attributes associated to objects, e.g. the location of a robot.Our aim in this paper is to incorporate attributes into existing categorical formalisms for planning, namely those based on symmetric monoidal categories and string diagrams.To accomplish this, we define a notion of a "symmetric monoidal category with attributes."This is a symmetric monoidal category in which objects are equipped with retrievable information and where the interactions between objects and information are governed by an "attribute structure."We discuss examples and semantics of such categories in the context of robotics to illustrate our definition.
WEBWAY: PELESTARIAN BUDAYA WAYANG PADA REMAJA DI ABAD 21

Indonesian culture is priceless wealth. This culture has a lot of diversity because the Indonesian people have ethnicity and ethnicity from various regions. One of the cultures that Indonesia has is wayang. Howefer, the development of modern times makes puppets become excluded from society, especially are in them. Therefore, this Webway media or webtoon wayang was creater to introduce puppets to teenagers while at the same time instilling noble values in the stories. The Purpose of this research is to develop the Webway media (Webtoon Wayang) as an effort to internalize noble values for adolescents in the city of Yogyakarta. While this research method use a type of research and development or research and development (R&D( by adopting the findings of Richey and Klein. This research is limited to five stages. The steps taken in development planning, internal design testing, design revisions, product manufacturing, and limited trials. Webway media testing has gone through the direction and guidance of material expert lecturers by puppet experts and character education experts. And testing media validity by media experts. As a result, Webway media is feasible to be used by teenagers in Yogykarta city to cultivate noble values. In this way, Indonesia’s young generation will be more interested in learning puppets and understanding the noble values contained.
LibGuides: Getting Started with Archives: Using the Catalog

This guide serves as an introduction to locating and evaluating collection description, and beginning archival research at NYPL This page provides instructions on locating archival collection records in the online catalog.
Learning Analytics and Higher Education: A Proposed Model for Establishing Informed Consent Mechanisms to Promote Student Privacy and Autonomy

By tracking, aggregating, and analyzing student profiles along with students’ digital and analog behaviors captured in information systems, universities are beginning to open the black box of education using learning analytics technologies. However, the increase in and usage of sensitive and personal student data present unique privacy concerns. I argue that privacy-as-control of personal information is autonomy promoting, and that students should be informed about these information flows and to what ends their institution is using them. Informed consent is one mechanism by which to accomplish these goals, but Big Data practices challenge the efficacy of this strategy. To ensure the usefulness of informed consent, I argue for the development of Platform for Privacy Preferences (P3P) technology and assert that privacy dashboards will enable student control and consent mechanisms, while providing an opportunity for institutions to justify their practices according to extant norms and values.
Avoiding Conflict: When Speaker Coordination Does Not Require Conceptual Agreement

In this paper we discuss the socialization hypothesis —the idea that speakers of the same (linguistic) community should share similar concepts given that they are exposed to similar environments and operate in highly-coordinated social contexts—and challenge the fact that it is assumed to constitute a prerequisite to successful communication. We do so using distributional semantic models of meaning (DSMs) which create lexical representations via latent aggregation of co-occurrence information between words and contexts. We argue that DSMs constitute particularly adequate tools for exploring the socialization hypothesis given that 1) they provide full control over the notion of background environment, formally characterized as the training corpus from which distributional information is aggregated; and 2) their geometric structure allows for exploiting alignment-based similarity metrics to measure inter-subject alignment over an entire semantic space, rather than a set of limited entries. We propose to model coordination between two different DSMs trained on two distinct corpora as dimensionality selection over a dense matrix obtained via Singular Value Decomposition This approximates an ad-hoc coordination scenario between two speakers as the attempt to align their similarity ratings on a set of word pairs. Our results underline the specific way in which linguistic information is spread across singular vectors, and highlight the need to distinguish agreement from mere compatibility in alignment-based notions of conceptual similarity. Indeed, we show that compatibility emerges from idiosyncrasy so that the unique and distinctive aspects of speakers’ background experiences can actually facilitate—rather than impede—coordination and communication between them. We conclude that the socialization hypothesis may constitute an unnecessary prerequisite to successful communication and that, all things considered, communication is probably best formalized as the cooperative act of avoiding conflict , rather than maximizing agreement.
University Management in Russia: Goals, Culture, Criteria

The paper presents a response to the article by P.A. Orekhovsky and V.I. Razumov, which was devoted to the various problems of Russian higher education and science. As far as we agree with the main message of this article, we are trying to look at the exposed problems from the point of view of management theory. We think that our view seems relevant and methodologically justified, since most of the exposed problems require serious management decisions. It is shown that sometimes absurd reforms and reorganizations pursue very specific goals, which, at the same time, are not reported to the affected entities. In this context, the metaphor of the carnival fits perfectly, and P. A. Orekhovsky and V.I. Razumov use it well. We show the importance of organizational culture within university management. Culture is not an object of manipulation. It is created by people and sometimes controls the leader even more than vice-versa. This is especially important because most of the elements of effective management (task setting, evaluation, monitoring, feedback, etc.) in each organization are to a certain extent determined by culture. It is proposed to return to a system of appointing university rectors, as this will increase the rector’s responsibility for decisions made, as well as eliminate elections, which are often formalities. The pyramidal structure of decision making means a critical dependence of the effectiveness of the organization on the qualities and abilities of the central unit, which, as a rule, consists of one senior official. If that official makes ineffective decisions, then even a perfect hierarchy will idle or even begin to self-destruct. The main flaw of such a structure is that all the information necessary for making decisions is concentrated at the bottom of the hierarchical pyramid (among the subordinates), and all the responsibility and the right to make decisions are at the top (among the senior officials). Our own position presupposes the justification of the transition from the current vertical hierarchical management model within the Russian higher education institutions to a subsidiarity model, according to which decision-making should be carried out at the lowest or least centralized level of government.
BLOCKCHAIN APPLICATIONS IN THE ACCOUNTING DOMAIN

There is an increasing interest in blockchain or distributed ledger technology, which is reflecting the rapid development of the blockchain ecosystem. Many organisations like IBM, CommonwealthBank, Australia Post, etc. explore this technology and invest significant amounts in different blockchain projects. Their number currently exceeds 86,000 and will continue growing in the years to come. Applications of distributed ledger technology are identified in different industries – agriculture, government, transport, and financial services. Basically, they represent solutions for transaction record keeping and most of them so far have been in financial services. From the accounting perspective, blockchain is wildly considered as a fundamental change in the accounting domain as it introduces a new way the accounting records are generated, stored and updated. Some experts even argue that it is an accounting technology as it is a platform for doing business and accounting with a huge impact on the accounting profession. In this paper we address few of the challenges facing the accountancy profession due to the recent information technology advances and their augmented business application. Our ultimate goal is to shed light on the potential implications of blockchain for the accounting professionals as distributed ledger technology is a shift from the conventional accounting and is fundamentally changing organization and functioning of the accounting systems. We also provide some insights on the regulatory landscape and identify few of the pending regulatory issues that might give rise to a variety of accounting implications. Few profound studies are used as a focal point of our attempts to better comprehend the diversified impact of blockchain technologies on the accounting domain. We contribute to this research strand by focusing on the accounting perspective and putting more emphasis on the blockchain applications in accounting.
PEDAGOGICAL MONITORING OF TEACHING PROFICIENCY IN PROFESSIONAL EDUCATION

The educational system of the Russian Federation is an object of large-scale reform, covering all existing levels, from nursery and primary schools to educational institutions of higher education. The paradigm shift affected not only the content of curricula, methods and forms of training, but also the approach to the professional development of teachers. All changes taking place in Russian schools and universities at present are due to the social and economic changes that determine the optimization of organizational structures, the transformation of the essence of pedagogical culture, and the increase in requirements for assessing the competence of a teacher. A highly professional teacher should provide humanistic education, meet basic social and moral needs, taking into account the intellectual, psychological, ethnic and other diversity of the youth. Moreover, for pedagogical science and practice, ambiguous changes occurring in various directions are characteristic.
Integration of Criteria for Neural Network Inversion

Summary Neural networks (NN) are widely used for solving various problems of geophysical data interpretation and processing. The application of the neural network approximation (NNA) method for solving inverse problems, including inverse multi-criteria problems of geophysics that are reduced to a nonlinear operator equation of the first kind (respectively, to a system of operator equations) is considered. The NNA method assumes the construction of an approximate inverse operator of the problem using neural network approximation designs (MLP networks) on the basis of a preliminary constructed set of reference solutions to direct and inverse problems. Techniques for estimating the practical ambiguity (error) of approximate solutions to inverse multicriteria problems are considered. Results of solving the inverse two-criteria 3D problem in combination with magnetometry are presented. It is shown that the NNA method allows one to stably solve nonlinear multicriteria inverse 3D problems with many desired parameters in real-time, with accuracy acceptable for practice. The experience of calculations shows that the error in solving the two-criteria problem is less than the one-criterion.