A Qualitative Understanding of Motivations, Preferences, and Attitudes Toward Adherence-Based Technology

The future of cognitive assessments and brain-training programs is very likely to involve mobile applications for phones and tablets. However, adherence to these programs over the long haul is notoriously low. In an effort to countervail this trend, we ran online focus groups with both older and younger adults to understand from a user-centered perspective how to better design apps to increase adherence. Using thematic content analysis (Braun & Clarke, 2006) with an inductive bottom-up approach (Frith & Gleeson, 2004), we found a surprising number of common themes across older and younger adults that superseded many of their superficial differences. For instance, both younger and older adults were reluctant to engage in the program unless it had some obvious perceived benefit; both wanted the program personalized to their individual preferences; both wanted the ability to customize features and reminders; and both generally agreed that the tasks had to be fun.

From Keyness to Distinctiveness – Triangulation and Evaluation in Computational Literary Studies

There is a set of statistical measures developed mostly in corpus and computational linguistics and information retrieval, known as keyness measures, which are generally expected to detect textual features that account for differences between two texts or groups of texts. These measures are based on the frequency, distribution, or dispersion of words (or other features). Searching for relevant differences or similarities between two text groups is also an activity that is characteristic of traditional literary studies, whenever two authors, two periods in the work of one author, two historical periods or two literary genres are to be compared. Therefore, applying quantitative procedures in order to search for differences seems to be promising in the field of computational literary studies as it allows to analyze large corpora and to base historical hypotheses on differences between authors, genres and periods on larger empirical evidence. However, applying quantitative procedures in order to answer questions relevant to literary studies in many cases raises methodological problems, which have been discussed on a more general level in the context of integrating or triangulating quantitative and qualitative methods in mixed methods research of the social sciences. This paper aims to solve these methodological issues concretely for the concept of distinctiveness and thus to lay the methodological foundation permitting to operationalize quantitative procedures in order to use them not only as rough exploratory tools, but in a hermeneutically meaningful way for research in literary studies. Based on a structural definition of potential candidate measures for analyzing distinctiveness in the first section, we offer a systematic description of the issue of integrating quantitative procedures into a hermeneutically meaningful understanding of distinctiveness by distinguishing its epistemological from the methodological perspective. The second section develops a systematic strategy to solve the methodological side of this issue based on a critical reconstruction of the widespread non-integrative strategy in research on keyness measures that can be traced back to Rudolf Carnap’s model of explication. We demonstrate that it is, in the first instance, mandatory to gain a comprehensive qualitative understanding of the actual task. We show that Carnap’s model of explication suffers from a shortcoming that consists in ignoring the need for a systematic comparison of what he calls the explicatum and the explicandum. Only if there is a method of systematic comparison, the next task, namely that of evaluation can be addressed, which verifies whether the output of a quantitative procedure corresponds to the qualitative expectation that must be clarified in advance. We claim that evaluation is necessary for integrating quantitative procedures to a qualitative understanding of distinctiveness. Our reconstruction shows that both steps are usually skipped in empirical research on keyness measures that are the most important point of reference for the development of a measure of distinctiveness. Evaluation, which in turn requires thorough explication and conceptual clarification, needs to be employed to verify this relation. In the third section we offer a qualitative clarification of the concept of distinctiveness by spanning a three-dimensional conceptual space. This flexible framework takes into account that there is no single and proper concept of distinctiveness but rather a field of possible meanings depending on research interest, theoretical framework, and access to the perceptibility or salience of textual features. Therefore, we shall, instead of stipulating any narrow and strict definition, take into account that each of these aspects – interest, theoretical framework, and access to perceptibility – represents one dimension of the heuristic space of possible uses of the concept of distinctiveness. The fourth section discusses two possible strategies of operationalization and evaluation that we consider to be complementary to the previously provided clarification, and that complete the task of establishing a candidate measure successfully as a measure of distinctiveness in a qualitatively ambitious sense. We demonstrate that two different general strategies are worth considering, depending on the respective notion of distinctiveness and the interest as elaborated in the third section. If the interest is merely taxonomic, classification tasks based on multi-class supervised machine learning are sufficient. If the interest is aesthetic, more complex and intricate evaluation strategies are required, which have to rely on a thorough conceptual clarification of the concept of distinctiveness, in particular on the idea of salience or perceptibility. The challenge here is to correlate perceivable complex features of texts such as plot, theme (aboutness), style, form, or roles and constellation of fictional characters with the unperceived frequency and distribution of word features that are calculated by candidate measures of distinctiveness. Existing research did not clarify, so far, how to correlate such complex features with individual word features. The paper concludes with a general reflection on the possibility of mixed methods research for computational literary studies in terms of explanatory power and exploratory use. As our strategy of combining explication and evaluation shows, integration should be understood as a strategy of combining two different perspectives on the object area: in our evaluation scenarios, that of empirical reader response and that of a specific quantitative procedure. This does not imply that measures of distinctiveness, which proved to reach explanatory power in one qualitative aspect, should be supposed to be successful in all fields of research. As long as evaluation is omitted, candidate measures of distinctiveness lack explanatory power and are limited to exploratory use. In contrast with a skepticism that has sometimes been expressed from literary scholars with regard to the relevance of computational literary studies on proper issues of the humanities, we believe that integrating computational methods into hermeneutic literary studies can be achieved in a way that reaches higher explanatory power than the usual exploratory use of keyness measures, but it can only be achieved individually for concrete tasks and not once and for all based on a general theoretical demonstration.

Helping Pregraduate Students Reach Deep Understanding of the Second Law of Thermodynamics

Pregraduate students often have low success expectations toward their thermodynamics courses, which are often considered too abstract and remarkably difficult to understand. For this reason, they may not even try to reach any level of comprehension while settling for reproducing mathematical calculations and memorizing definitions to pass the exams. Traditional lectures on thermodynamics, focusing on mathematical deductions while neglecting the qualitative characterization of the concepts behind the equations, do not help in this respect. Aiming at a change in the teaching practice and focused on the second law of thermodynamics, the main goals of this work are to characterize the way of reasoning of the expert; to present a review on the most important learning difficulties encountered by students and categorize them into three groups: the disregard of qualitative understanding, the inherent conceptual difficulties, and those related to the students’ previous knowledge; and to propose some suitable teaching practices to assist instructors in this difficult but rewarding task.

Innovative mechanisms in the financial accounting system of the enterprise

The relevance of the subject matter of scientific research is determined by the importance of introducing innovative solutions in the activities of modern enterprises in various sectors of the economy in general and the need for a detailed study of various aspects of the impact of innovative mechanisms in ensuring the full functioning of the financial accounting systems of the enterprise in particular. In this context, the purpose of the study is to investigate the role and functions of innovative mechanisms in the financial accounting system of an enterprise, regardless of its field of activity, with an assessment of the effectiveness of the implementation of such innovative mechanisms and methods. The leading approach in this study is the method of system analysis, which allows performing a structured review of various aspects of the subject matter, in terms of identifying the main patterns of implementation of innovative solutions and mechanisms in the activities of the financial accounting system of the enterprise. The results of this study reflect the essence of the research performed and clearly demonstrate the sequence of development and subsequent implementation of innovative mechanisms in the activities of the relevant systems of modern enterprises; the final conclusions of this study are formulated based on the obtained results. The results and conclusions of this study are of significant practical value for specialists working in the financial accounting system of enterprises, regardless of their specific affiliation to certain areas of economic activity, in terms of providing a qualitative understanding of the need to introduce innovative mechanisms in the financial accounting structures of these enterprises, in order to reduce unjustified losses in the activities of these enterprises and increase the overall level of their economic efficiency in the current economic situation.

COMPARATIVE STUDY ON EVAPORATING DEMAND OF THE ATMOSPHERE USING ENERGY BALANCE METHODS

In this study, two models are computed which are modified penman's monteith and Hargreaves – Samani model. The essence is to provide qualitative information related to the antagonistic effect of climate change on sustainable crop production through qualitative understanding of evaporation and transpiration processes in simple term evapotranspiration (ETo). This is computed using climatic parameters obtained from Abubakar Tafawa Balewa University; Agro weather station, Bauchi for the period of three years. This describes the two processes of water loss on plants, at first, through transpiration and on another note, on the soil surface by evaporation. The study deduced a comparative analysis on aforementioned Methods to determine the evaporating power of the atmosphere in improving crops yield and production through estimating the amount of water needed at the root zone of the plant and also, the seasonal variation during the study. The result of this study shows a little deviation in the two models. The model based on Modified Penman's Monteith displays optimal evapotranspiration. This makes the model satisfy its creation for estimation of reference evapotranspiration. In May, June, September, and October for 2013-2015, high trends are recorded. While In July and August low trend was recorded between climatic parameter and the estimated evapotranspiration. The statistical analyses also show that there is a linear relationship between the two estimated models. In the above months, it shows that application of water is needed for the healthy growth of crops and improved crops yield

Classifying the Diversity of Urban Diversities: an Inductive Analysis of European Cities

This paper provides an empirical classification of migration-related diversities in 166 European cities. The local turn in migration studies has shown that migration-related diversity may take varied forms in different cities. Our understanding of how and why cities differ is lagging behind the wealth of existing conceptualisations. This is partly because most studies look only at one kind of city, in particular, superdiverse global cities. This paper takes a systematic inductive approach to map the diversity of migration-related diversities in urban setting and understand the reasons behind such variations. Applying quantitative classification methods to European cities in France, Germany, the Netherlands and Italy, we search for a new meaningful classification of the urban diversity configurations based on measures of volume, variety and spread of migration-related diversity. Five empirical clusters of cities of migration are found: superdiverse cities, migrant minority cities, new diversity cities, low-migration cities and non-diverse cities. Subsequently, we develop a better qualitative understanding of these clusters by examining typical cities, their economic positioning, migration history, their policy and political structures, as well as their social and geographical position. A thorough classification, we argue, is necessary to have a more differentiated view of the existing urban diversities and go beyond one-size-fits-all solutions for urban governance of migration-related diversity.

A Qualitative Understanding of Doctoral Students’ Experience of Embodiment

Human beings exist in the world ‘bodily’ and their existence is inexorable. International doctoral students’ understanding of themselves and their perspectives of the learning environment is through their embodiment. The purpose of the present research was to understand doctoral students’ embodiment experiences in relation to a culturally and academically diverse university environment. This understanding was gained through the phenomenological lense of qualitative research. For this purpose, thirteen doctoral students were selected through maximum variation sampling from the Austrian public sector universities located in different states. They were doing doctoral studies in various physical and social sciences at different stages of their dissertation. The understanding of the phenomenon was sought through semi-structured interviews. The interviews were recorded, transcribed and analyzed by coding the text and categorizing it into themes that emerged while frequently reading the transcripts. The emerging themes include ‘stress and anxiety, ‘confidence and motivation’ and ‘physical fatigue and exertion’. Most of the students experienced ‘confidence’, ‘encouragement’, ‘depression’, ‘nervousness’, ‘homesickness’, ‘stress’ and ‘frustration’ when asked about ‘lived body’ or corporeality. The study has implications in understanding doctoral students’ ‘bodily’ existence in the universities.