Stylistics and children’s literature

This article constitutes an introduction to the five articles that appear in this special issue. This framing process starts by highlighting the sparse, yet important, work that has been conducted over the past 20 years on children’s literature in the field of stylistics. The focus in the article then turns to a more general discussion on the language of children’s literature. Here, in this chronological overview of language usage in books written for children, an outline is sketched from the writers and philosophers of the enlightenment up to contemporary debates on literacy, cognition and theory of mind. In the section that follows, the five studies that appear in this special issue are briefly synopsized. What becomes apparent is the wide range of methodological approaches that have been taken by the scholars in question to analyze the texts that are under investigation, in both quantitative and qualitative ways. The article ends with a plea for more stylistic work to be conducted in the areas of both children’s literature and young adult fiction. This is especially pertinent because stylisticians possess the key linguistic and analytic skills and tools to help, in interdisciplinary settings, to address current social, emotional and cognitive challenges pertaining to child development through literacy and through reading in particular.

Has Excel Become a "Golden Hammer": The Paradox of Data Analytics in SME Clusters

Demand for data analysis skills in the accounting profession is well documented and necessarily informs accounting curriculum and pedagogy. This empirical survey study focuses on small and medium-sized entities (SMEs), finding SMEs continue to use Excel spreadsheets extensively for data analytics tasks. SME cluster research suggests different adoption rates for technology between this segment and large firms. Investigating SME demands for skills and abilities of new job entrants differs from the large organizations that served as the original drivers of analytic skills and technology recommendations. Findings in this study suggest SMEs continue performing their leading accounting tasks using Excel spreadsheets, and lag in adoption of data analytics technology. SMEs are a significant business sector comprising 95-99 percent of firms in the U.S. economy, creating 65 percent of new jobs from 2000-2018 (USSBA 2019), and competing with large firms but with fewer resources. These findings will guide educators in SME markets.

DATA-DRIVEN ANALYTICS IN THE DECISION-MAKING PROCESS: DO WE STILL NEED INTUITION?

When people discuss how machines will replace humans in the future, it is no longer a new phenomenon. Numerous studies, both old and new, have shown that machines are far more reliable than humans and that machines outperform humans in every way possible. However, these facts do not correspond to reality, in which leaders are forced to think beyond what they can see during the business decision-making process. The future necessitates ingenuity and, at times, absurd decisions. What we see in the markets these days is stuff we cannot even imagine. Machines are powerless because they can only predict when data sources are available, and the future requires more than data. Future decision-making, on the other hand, necessitates intuition. This study emphasizes the importance of incorporating intuition capabilities into the business decision-making process and a specific context in which intuition works best. This study uses a qualitative method by choosing five prominent and successful Indonesian business leaders as key information sources from 15 companies interviewed. The findings indicate that both analytics and intuition are essential in business decision-making. To use them effectively, we must understand when to use them separately and when to combine them. This research proves that in the recent big data world where data are considered the new gold mining, data-driven analytics alone cannot provide sufficient sources for the business decision-making process unless intuition is added. Therefore, business leaders should be equipped with intuitive skills to supplement their analytic skills when they do not have supporting data. This study has several limitations. First, this research is conducted in the context of a business process, which may yield different results in the context of a service, which necessitates a more social approach. Second, there is no precise proportion for defining a successful combination of intuition and analytics.

Major or Minor?: For What Audiences are Intelligence Studies Programs Best Suited

Intelligence and security studies degree programs at non-government universities offer a variety of diplomas, from bachelor’s degrees, to graduate certificates, to master’s degrees. In most cases, universities market intelligence studies degree programs to two audiences: those who aspire to a job in a security-related career (intelligence, law enforcement, or homeland security); and those already in one of those careers who want to improve their qualifications for career advancement. This article proposes three additional audiences—intelligence scholars, students seeking to improve critical thinking and analytic skills, and any informed student—that would also benefit from such degree programs, with each requiring a different combination and weighting of competencies, thus necessitating a different level of emphasis in an intelligence degree program.

Underfill Flow in Flip-Chip Encapsulation Process: A Review

The scope of review of this paper focused on the pre-curing underfilling flow stage of encapsulation process. A total of 80 related works has been reviewed and being classified into process type, method employed, and objective attained. Statistically showed that the conventional capillary is the most studied underfill process, while the numerical simulation was mainly adopted. Generally, the analyses on the flow dynamic and distribution of underfill fluids in the bump array aimed for the filling time determination as well as the predictions of void occurrence. Parametric design optimization was subsequently conducted to resolve the productivity issue of long filling time and reliability issue of void occurrence. The bump pitch was found to the most investigated parameter, consistent to the miniaturization demand. To enrich the design versatility and flow visualization aspects, experimental test vehicle was innovated using imitated chip and replacement fluid, or even being scaled-up. Nonetheless, the analytical filling time models became more accurate and sophiscasted over the years, despite still being scarce in number. With the technological advancement on analysis tools and further development of analytic skills, it was believed that the future researches on underfill flow will become more comprehensive, thereby leading to the production of better packages in terms of manufacturing feasibility, performances, and reliability. Lastly, few potential future works were recommended, for instance, microscopic analysis on the bump-fluid interaction, consideration of filler particles and incorporation of artificial intelligence.

Incorporating Data Analytics in a Technical Tax Setting: A Case Using Excel and Tableau to Examine a Firm’s Schedule M-3 and Tax Risk

New tax accountants are expected to possess strong technical tax and data analytic skills. This case provides an opportunity to improve students’ corporate tax and accounting for income taxes knowledge and experience with professional tax workpapers. It also provides exposure to two powerful data analytic platforms, Tableau and Excel. Students must complete a set of tax workpapers including a Schedule M-3 reconciliation. Students begin to view tax through an analytical mindset, gaining familiarity with descriptive data for tax analyses. This case helps students calculate GAAP and cash effective tax rates, taxable income, and temporary and permanent book-tax differences and formulate a professional written communication. Students also complete tax workpapers; benchmark tax data across time and industry peers; clean, format, and combine data using Excel and Tableau; and analyze and visualize data using Tableau.

Language studies by women in Australia

Few women contributed to documenting Indigenous Australian languages in the nineteenth century. Brief accounts are given of six settler women who did so: Eliza Dunlop (1796–1880), Christina Smith (‘Mrs James Smith’; 1809?–1893), Harriott Barlow (1835–1929), Catherine Stow (‘K. Langloh Parker’; 1856–1940), Mary Martha Everitt (1854–1937), and Daisy May Bates (1859–1951). Their contributions are discussed against the background of forty-four other settler women who contributed to language study, translation, ethnography, or language teaching. Reasons for the relative absence of women in language documentation included family demands, child raising, and lack of education, money, and patrons, as well as alternative causes such as women’s rights. Recording Indigenous languages required metalinguistic analytic skills that were hard to learn in societies that lacked free education. Extra obstacles for publication were remoteness from European centres of research, and absence of colleagues with similar interests.