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Given a Hopf algebra with distinguished bases indexed by combinatorial objects, along with a primitive generating set for this algebra, it is natural to consider how we can combinatorially interpret the primitivity of the elements in this generating set, by expanding these generators in terms of the distinguished bases of this algebra and then applying the comultiplication operation to these expansions and constructing sign-reversing involutions that determine the resultant cancellations that we obtain. In this article, we explore this idea, as applied to the power sum generators of the algebra of symmetric functions. [ABSTRACT FROM AUTHOR]

Featured Application: The architecture proposed here is applicable to the management of complex systems, for example, manufacturing, healthcare, automobiles, and airplanes. The processing of information in real-time (through the processing of complex events) has become an essential task for the optimal functioning of manufacturing plants. Only in this way can artificial intelligence, data extraction, and even business intelligence techniques be applied, and the data produced daily be used in a beneficent way, enhancing automation processes and improving service delivery. Therefore, professionals and researchers need a wide range of tools to extract, transform, and load data in real-time efficiently. Additionally, the same tool supports or at least facilitates the visualization of this data intuitively and interactively. The review presented in this document aims to provide an up-to-date review of the various tools available to perform these tasks. Of the selected tools, a brief description of how they work, as well as the advantages and disadvantages of their use, will be presented. Furthermore, a critical analysis of overall operation and performance will be presented. Finally, a hybrid architecture that aims to synergize all tools and technologies is presented and discussed. [ABSTRACT FROM AUTHOR]

This chapter investigates the ways that Yeats and Tagore performed identities as well as the receptions of these self-fashionings. Beginning with Yeats' efforts to bring his poetry to the British public through performance as a young, wild Celt in an image of tableau and ending with Tagore's travels to Sweden and 1921, the chapter argues that Yeats' 1887 performance of cultural identity has been ignored while Tagore's 1912 dinner attendance has been overplayed; in fact, Tagore's cultural exchange at that dinner table continued a centuries-old family pattern. Yeats, in 1887, performed in an image accompanying his poem, fashioning himself in a way that would bring British attention to him as an emerging poet, ensuring that his persona would be intriguingly other to the public on the other side of the sea. [ABSTRACT FROM AUTHOR]

This case uses IRS SOI migration data to help students understand the power of data analysis to identify potential policy issues faced by state governments. The data skills covered in this case are used by entry level accounting professionals in all fields: the Extract, Transform, and Load (ETL) process using Alteryx and creating data visualizations using Tableau. The case learning objectives are: (1) develop students' ETL skills; (2) develop students' data visualization skills; (3) develop students' critical-thinking skills, and (4) enhance students' effective oral and written communications skills. Pre- and post-learning assessment surveys and open-ended responses indicate that the case meets these learning objectives. Students easily related to policy questions surrounding migration as future employees considering their career options. As such, this case is appropriate for stand-alone data analytics courses in business or accounting, accounting information systems courses, undergraduate- and graduate-level tax classes, and M.B.A. courses. [ABSTRACT FROM AUTHOR]

As Vietnam continues to industrialize and modernize, such economic development and high-tech will require a major electrical energy source to operate the electrical equipment; hence, the hydropower plants are established and growing up to demand. Therefore, the purpose of this study is to evaluate the business performance of Vietnamese hydropower suppliers by integrating the LTS(A,A,A) model of the Additive Holt-winters method in Tableau and a super-slacks-based measure (super-SBM) max model in data envelopment analysis (DEA). The LTS(A,A,A) model is applied to forecast future valuation from 2022 to 2025 based on historical time series from 2012 to 2021. Next, with the actual and predicted data, the researcher uses the super-SBM max model to calculate the business performance of these hydropower suppliers from past to future. The empirical result reveals efficient and inefficient cases to explore which hydropower suppliers can achieve the business performance in their operational process. The position of hydropower suppliers in Vietnam from past to future time is determined particularly based on their scores every year. Further, the empirical result recommends a solution to deal with inefficient cases by deducting the input excesses and raising the output shortages based on the principle of the super-SBM Max model in DEA. The finding results create an overview of the operational process with the continuing variations in each period to equip hydropower suppliers in Vietnam which will determine their future and operational orientation.

Cluster analysis is a data analytics technique that can help forensic accountants effectively detect anomalies in complex financial datasets. This article provides a description of clustering analysis, discusses how it can be implemented to detect anomalies in data, and illustrates its use through a worked example using the Tableau software. [ABSTRACT FROM AUTHOR]

This review analyzes the new features in Tableau and how it can be used both by librarians and the patrons they serve.

The tableau, an art form originating from theatres and the visual arts, is also a literary phenomenon. Literary tableaux are short scenic interruptions or pictorial compositions arresting the narrative flow and serving as highlighted moments where time stands still. Either they are scenes of intense emotion, or they occur at a crucial point in the plot. This paper distinguishes between two modes of writing that are at work in literary tableaux, which I will call absorption and contemplation. Absorption is a mode of writing and reading related to formal realism. In his theory about tableaux, Denis Diderot advocates for a realist art and literature that can create the illusion of a close relationship between the work of art and the reader/beholder. Focusing on the 18thcentury English writer Henry Fielding, this paper provides a close reading of selected scenes from the novel Tom Jones, arguing that Fielding created his own tableaux of contemplation. These instances are metafictional moments in which the narrator interrupts the narrative to converse with the reader about an event or a character in the novel. Often, they contain references to classical art and are a mix of epic, tragic and comic elements. Fielding's tableaux explicitly present their own fictionality, consulting with the reader about the difference between art and life. [ABSTRACT FROM AUTHOR]

We prove a conjecture made by Brundan and Kleshchev on the nilpotency degree of cyclotomic quotients of rings that categorify one-half of quantum sl(k).

Benford's law has been examined as a useful tool for detecting potential accounting fraud. In this article, I provide an introduction to Benford's law and examine how the first digit, second digit, and first‐two digits tests in Benford's law can be employed to detect potential accounting fraud. In addition, I also highlight, through a worked example, how Tableau, a visual analytics tool, can be used to perform Benford's law's first‐digit test to detect potential fraud. [ABSTRACT FROM AUTHOR]

Accounting professionals have access to the data that can help businesses develop a strategic advantage and remain competitive in today's fast-paced business environment. Data analytics and teamwork skills are essential for all accountants, finance professionals, and business managers. This manuscript includes a case designed to provide students with practice analyzing data, working collaboratively as a team to prepare and present meaningful reports for management. Skill development is concentrated on data analytics, data visualizations, teamwork, and written communication. [ABSTRACT FROM AUTHOR]

Visual analytics and data science are increasingly important in industry for entry-level positions on up. While data analytics classes have been popular as stand-alone classes or as classes within an undergraduate major or minor, particularly majors or minors in computer information systems (CIS), visual analytics topics rarely make their way into required core business classes that include students from all disciplines, not just students majoring in information systems. The contribution of this paper to the practice of information systems education is that it is among the first to include emerging technologies like Tableau in a core business class for all business majors. Such an integration also assists a business school in meeting the accreditation standards established by the Association to Advance Collegiate Schools of Business (AACSB), specifically the need to integrate “technology agility”. This research will explore how a visual analytics tool like Tableau can be included in an undergraduate core information systems course. Activity design, with in-class and out-of-class, is described, student reaction to the course is discussed, and suggestions for future inclusion in core business classes are offered. [ABSTRACT FROM AUTHOR]

Healthcare industries generate enormous amount of data, so called big data that accommodates hidden knowledge or pattern for decision making. The huge volume of data is used to make decision which is more accurate than intuition. Exploratory Data Analysis (EDA) detects mistakes, finds appropriate data, checks assumptions and determines the correlation among the explanatory variables. In the context, EDA is considered as analysing data that excludes inferences and statistical modelling. Analytics is an essential technique for any profession as it forecast the future and hidden pattern. Data analytics is considered as a cost effective technology in the recent past and it plays an essential role in healthcare which includes new research findings, emergency situations and outbreaks of disease. The use of analytics in healthcare improves care by facilitating preventive care and EDA is a vital step while analysing data. In this paper, the risk factors that causes heart disease is considered and predicted using K-means algorithm and the analysis is carried out using a publicly available data for heart disease. The dataset holds 209 records with 8 attributes such as age, chest pain type, blood pressure, blood glucose level, ECG in rest, heart rate and four types of chest pain. To predict the heart disease, K-means clustering algorithm is used along with data analytics and visualization tool. The paper discusses the pre-processing methods, classifier performances and evaluation metrics. In the result section, the visualized data shows that the prediction is accurate. [ABSTRACT FROM AUTHOR]

Temporal logic has become essential for various areas in computer science, most notably for the specification and verification of hardware and software systems. For the specification purposes rich temporal languages are required that, in particular, can express fairness constraints. For linear-time logics which deal with fairness in the linear-time setting, one-pass and two-pass tableau methods have been developed. In the repository of the CTL-type branching-time setting, the well-known logics ECTL and ECT L + were developed to explicitly deal with fairness. However, due to the syntactical restrictions, these logics can only express restricted versions of fairness. The logic CT L ⋆ , often considered as 'the full branching-time logic' overcomes these restrictions on expressing fairness. However, CT L ⋆ is extremely challenging for the application of verification techniques, and the tableau technique, in particular. For example, there is no one-pass tableau construction for CT L ⋆ , while one-pass tableau has an additional benefit enabling the formulation of dual sequent calculi that are often treated as more 'natural' being more friendly for human understanding. These two considerations lead to the following problem - are there logics that have richer expressiveness than ECT L + , allowing the formulation of a new range of fairness constraints with 'until' operator, yet 'simpler' than CT L ⋆ , and for which a one-pass tableau can be developed? Here we give a positive answer to this question, introducing a sub-logic of CT L ⋆ called ECT L # , its tree-style one-pass tableau, and an algorithm for obtaining a systematic tableau, for any given admissible branching-time formulae. We prove the termination, soundness and completeness of the method. As tree-shaped one-pass tableaux are well suited for the automation and are amenable for the implementation and for the formulation of sequent calculi. Our results also open a prospect of relevant developments of the automation and implementation of the tableau method for ECT L # , and of a dual sequent calculi. [ABSTRACT FROM AUTHOR]

This case introduces students to visualizing accounting data in Tableau. In it, students import data, conduct basic data cleaning, answer client queries, and create visualizations, including dashboards and storyboards. From the case, students learn basic data cleaning and visualization skills. In its final phase, they also learn critical thinking skills from analyzing a business case and creating a dashboard and storyboard to support business decision making. They experience first-hand the exciting processes of understanding, performing, and communicating professional data analytics work. Undergraduate or graduate accounting students who have completed an introductory accounting class will benefit from the case. Evidence from applications suggests that the case is relevant, interesting, and useful for the goal of teaching introductory data visualization skills, using Tableau, to accounting students. The case is easy to implement, authentic, engaging, and a timely instructional resource for accounting instructors and students. [ABSTRACT FROM AUTHOR]

Students are placed into a consulting role with SPT, a sport marketing agency hired to help a sports organization create a new strategy for video content creation on social media. Students are provided a large data set in Tableau with analytics that hold the key to increasing the team's engagement and views of videos on social media. Can your students find the insights in the data to drive a new video strategy for social media? Can they turn those insights into a creative content plan that will engage and win fans in the future? Students will have the opportunity to demonstrate creativity and innovation, data-based decision making, and digital literacy. [ABSTRACT FROM AUTHOR]

The paper introduces the concept of tableau as articulated by film history and theory, with examples from the films of Roy Andersson, Jean-Luc Godard and Lars von Trier. A lesser known tradition, the bonnet view originates from Kelly Reichardt’s western Meek’s Cutoff which set out to tell the story from “the point of view of the woman who pours John Wayne’s coffee.” By replacing generic conventions, notably the customary widescreen with a square-like image, Meek’s Cutoff conveys the visual and social restrictions signified by women’s bonnets. The bonnet view is further traced in the tableaus of TV-series Handmaid’s Tale and other cinematic portrayals of women’s history ( Jessica Hausner's Amor Fou and Carl Th. Dreyer’s The Day of Wrath), exploring its potential as a vehicle of the female gaze. [ABSTRACT FROM AUTHOR]

Every day there are millions of opportunities to improve people’s lives by making better use of data. In the digital era, harnessing data can be the difference between staying ahead or falling behind. Most organizations are investing millions of dollars into digital transformation efforts, and yet, the majority of these initiatives are failing. Why? Because organizations are failing to create a Data Culture — the behaviors and mindsets that empower people to innovate and drive change with data. A growing number of enterprises are recognizing that turning data into information, knowledge, and insights requires a data culture. Data culture encompasses values, behaviors, and attitudes of executives and employees that promote and enable use of relevant data as the driving force of decision making. Tableau Software products are transforming the way people use data to solve problems. They make analyzing data fast and easy, beautiful and useful. [ABSTRACT FROM AUTHOR]

In this globalization era that we face nowadays, information technology is the most important thing to be learnt or just to be known. Because in this all-sophisticated era, almost all the live's aspects are related with information and technology. It's not exception to determine the level of major popularized in on of University. In it's implementation, for sure it's difficult to determine which major is being the most popular, because there are so many data, so the process of decision making run slowly if it is done with standard query on database. Here is the used of Business Intelligence is really needed. By implemented Business Intelligence, the big data can be processed without any difficulties. On this research, application that we use is TABLEAU. TABLEAU is chosen because of its ease and its velocity on processing data. So that, it's hoped can ease in decision making for determining the most popular major at Andalas University.

This study explores the condition of chronic diseases and the association with demographics, hospital statistics, and spending. It provides a contemporary view of the current state of chronic diseases and conditions of Medicare beneficiaries in the United States. The data is drawn from the Centers for Medicare & Medicaid Services for the years 2007–2015. Using visualization tools and descriptive analytics, a series of charts are developed to surface and describe the key characteristics and dimensions of chronic conditions across key regions and races in the U.S. The study indicates the wide prevalence of several chronic diseases cutting across race, region, and other indicators. It implies the need to formulate policies for targeted populations. It is important to conduct such studies periodically to understand the nature and effects of chronic diseases. The results inform policymakers whose job it is to evaluate the efficacy of policies and strategies in the management and prevention of chronic diseases. [ABSTRACT FROM AUTHOR]

A historical drama that can be interpreted at the juncture of theoretical discourses (heritage film, auteur film), genres (historical film, western, road movie) and representational modes (connecting to, but subverting the master narrative of Romanian historical cinema), Radu Jude’s Aferim! (2015) has attracted the attention of the international public by the unique response that it gives to the tradition of representation of the (Romanian) historical past. Its unmatched character even within New Romanian Cinema can be attributed to the fact that it does not focus on tensions of the post-communist condition or their antecedents in the recent communist past; instead, it goes back in history to a much earlier period, to the Romanian ancien régime, after the Ottoman occupation and before the abolition of Gypsy slavery, only to point at the historical roots of current social problems. Through its ingenuous (inter)medial solutions (black-and-white film, with an implied media-archaeological purport; period mise en scène but with an assumed artificiality and constructedness; a simple linear plot infused with a dense dialogue in archaic Romanian, drawn from a multitude of literary and historical sources; a sweeping panorama of 19th-century Wallachian society presented in a succession of tableau compositions), Radu Jude’s ironical-critical collage defetishizes the traditional historical iconography and debunks the mythical national imaginary, unveiling the traumatic history of an ethnic and racial mix.1

In a few of his 1904–6 pragmaticist formulations of the pragmatic maxim, Peirce instructs us to look not only at the consequences of affirming some claim or concept, but also at the consequences of denying it. While Peirce isn't forthcoming about why he includes the consequences of denying claims, I argue that this inclusion is important, indeed prescient, and also under-appreciated. Specifically, after aligning these later formulations of the pragmatic maxim with bilateral tableau systems of logical proof, I show how they serve to defuse an objection that Brandom has raised against the semantic project of the classical pragmatists, namely, that it subscribes to an insufficiently one-sided view of meaning. I close by showing how Peirce's bilateral expressions of the pragmatic maxim also align with his existential graphs, suggesting that these expressions could well have been key to his attempt to provide a formal demonstration of pragmatism's correctness. [ABSTRACT FROM AUTHOR]

In this paper we study sublogics of RoCTL*, a recently proposed logic for specifying robustness. RoCTL* allows specifying robustness in terms of properties that are robust to a certain number of failures. RoCTL* is an extension of the branching time logic CTL* which in turn extends CTL by removing the requirement that temporal operators be paired with path quantifiers. In this paper we consider three sublogics of RoCTL*. We present a tableau for RoBCTL*, a bundled variant of RoCTL* that allows fairness constraints to be placed on allowable paths. We then examine two CTL-like restrictions of CTL*. Pair-RoCTL* requires a temporal operator to be paired with a path quantifier; we show that Pair-RoCTL* is as hard to reason about as the full CTL*. State-RoCTL* is restricted to State formulas, and we show that there is a linear truth preserving translation of State-RoCTL into CTL, allowing State-RoCTL to be reasoned about as efficiently as CTL. [ABSTRACT FROM AUTHOR]

The paper surveys two modes of representation present in contemporary Hungarian and Romanian cinema, namely magic realism and minimalist realism, as two ways of rendering the "real" in the Central Eastern European geo-cultural context. New Hungarian Film tends to display narratives that share the features of what is generally assumed as being magic realist, accompanied by a high degree of stylization, while New Romanian Cinema is more attracted to creating austere, microrealistic universes. The paper argues that albeit apparently being forking modes of representation that traverse distinct routes, magic realism and minimalist realism share a set of common elements and, what this study especially focuses on, converge in the preference for the tableau aesthetic. The paper examines the role of tableau compositions and tableaux vivants in representative films of the Young Hungarian Film and the Romanian New Wave, namely Szabolcs Hajdu's Bibliothèque Pascal (2010) and Cristian Mungiu's Beyond the Hills (Dupã dealuri, 2012). An excessive use of the tableau can be detected in both films, with many thematic connections, in subtle interwovenness with female identity and corporeality performed as a site of traumatic experiences, upon which (institutional, colonial) power relations are reinscribed. The tableau as a figuration of intermediality performs the tension between the sensation of the "real" and its reframed image, and proves especially suitable for mediating between low-key realism and highly stylized forms. [ABSTRACT FROM AUTHOR]

When modeling real-world domains, we have to deal with information that is incomplete or that comes from sources with different trust levels. This motivates the need for managing uncertainty in the Semantic Web. To this purpose, we introduced a probabilistic semantics, named DISPONTE, in order to combine description logics (DLs) with probability theory. The probability of a query can be then computed from the set of its explanations by building a Binary Decision Diagram (BDD). The set of explanations can be found using the tableau algorithm , which has to handle non-determinism. Prolog, with its efficient handling of non-determinism, is suitable for implementing the tableau algorithm. TRILL and TRILL P are systems offering a Prolog implementation of the tableau algorithm. TRILL P builds a pinpointing formula that compactly represents the set of explanations and can be directly translated into a BDD. Both reasoners were shown to outperform state-of-the-art DL reasoners. In this paper, we present an improvement of TRILL P , named TORNADO, in which the BDD is directly built during the construction of the tableau, further speeding up the overall inference process. An experimental comparison shows the effectiveness of TORNADO. All systems can be tried online in the TRILL on SWISH web application at http://trill.ml.unife.it/. [ABSTRACT FROM AUTHOR]

Business Intelligence Tools (BI Tools) can be an intelligent way for individuals to undertake data analysis and reporting for guiding decision-making processes. There are many different BI Tools available in the market today, as well as information to assist organisations in evaluating their effectiveness. This paper focusses on two commercially available BI Tools: Tableau and Microsoft Power BI. It aims to determine which BI Tool is better for data analysis and reporting from an end user's point of view. This paper undertakes an evaluation of both tools and compares which is more suitable for students using interface (navigation), cost, presence in the market, and available training and help as the evaluative criteria. Results produced in this paper found that overall, Tableau was more highly ranked than Power BI based on the evaluative criteria for end users for data analysis and reporting at least among the samples of the study. Tableau ranked higher than Power BI with its presence in the market, and available training and help. Power BI was rated more highly on its interface and both BI Tools were ranked the same in terms of cost to end users. This research is exploratory and may assist in formulating future research on BI Tools for specific user groups. [ABSTRACT FROM AUTHOR]

This article examines the relationship between posture and performance in Shaw's 1892 drama Widowers' Houses. It begins by outlining the distinctly legible melodramatic style so popular in the earlier nineteenth century, before placing Shaw's flexible and equivocal characters in the context of the "rigid moral distinctions" Michael Booth identifies in English Melodrama as central to the melodramatic genre. It then demonstrates how Shaw manipulates these well-worn conventions in Widowers' Houses ; in so doing, this article argues, Shaw establishes new postures of flexibility, which in turn facilitate new styles of villainy. [ABSTRACT FROM AUTHOR]

This paper proves a combinatorial rule expressing the product sτ(sλ/μ∘pr) of a Schur function and the plethysm of a skew Schur function with a power-sum symmetric function as an integral linear combination of Schur functions. This generalizes the SXP rule for the plethysm sλ∘pr. Each step in the proof uses either an explicit bijection or a sign-reversing involution. The proof is inspired by an earlier proof of the SXP rule due to Remmel and Shimozono (Discrete Math. 193:257-266, 1998). The connections with two later combinatorial rules for special cases of this plethysm are discussed. Two open problems are raised. The paper is intended to be readable by non-experts. [ABSTRACT FROM AUTHOR]

The paper surveys two modes of representation present in contemporary Hungarian and Romanian cinema, namely magic realism and minimalist realism, as two ways of rendering the “real” in the Central Eastern European geocultural context. New Hungarian Film tends to display narratives that share the features of what is generally assumed as being magic realist, accompanied by a high degree of stylization, while New Romanian Cinema is more attracted to creating austere, micro-realistic universes. The paper argues that albeit apparently being forking modes of representation that traverse distinct routes, magic realism and minimalist realism share a set of common elements and, what this study especially focuses on, converge in the preference for the tableau aesthetic. The paper examines the role of tableau compositions and tableaux vivants in representative films of the Young Hungarian Film and the Romanian New Wave, namely Szabolcs Hajdu’s Bibliothèque Pascal (2010) and Cristian Mungiu’s Beyond the Hills (După dealuri, 2012). An excessive use of the tableau can be detected in both films, with many thematic connections, in subtle interwovenness with female identiy and corporeality performed as a site of traumatic experiences, upon which (institutional, colonial) power relations are reinscribed. The tableau as a figuration of intermediality performs the tension between the sensation of the “real” and its reframed image, and proves especially suitable for mediating between low-key realism and highly stylized forms.1