Room for Writing: How to write an abstract

An introductory exercise for writing abstracts Includes background, references and further reading

Room for Writing: moving from abstract to extended abstract

An developmental exercise to help grow the superstructure of a report. A paper by Repko discussing common ground is included, you are also advised to look at the set text, Chapter 11, Page 271

WEBS6203 Feedback on Abstract

Spreadsheet of abstracts with comments plus note of general comments applying to whole set. You have to download the spreadsheet to be able to read its contents. Only visible with university login

From Kandinsky to Java (The Use of 20th Century Abstract Art in Learning Programming)

At the University of Worcester we are continually striving to find new approaches to the learning and teaching of programming, to improve the quality of learning and the student experience. Over the past three years we have used the contexts of robotics, computer games, and most recently a study of Abstract Art to this end. This paper discusses our motivation for using Abstract Art as a context, details our principles and methodology, and reports on an evaluation of the student experience. Our basic tenet is that one can view the works of artists such as Kandinsky, Klee and Malevich as Object-Oriented (OO) constructions. Discussion of these works can therefore be used to introduce OO principles, to explore the meaning of classes, methods and attributes and finally to synthesize new works of art through Java code. This research has been conducted during delivery of an “Advanced OOP (Java)” programming module at final-year Undergraduate level, and during a Masters’ OO-Programming (Java) module. This allows a comparative evaluation of novice and experienced programmers’ learning. In this paper, we identify several instructional factors which emerge from our approach, and reflect upon the associated pedagogy. A Catalogue of ArtApplets is provided at the associated web-site.

Behavioral equivalence of hidden k-logics: an abstract algebraic approach

This work advances a research agenda which has as its main aim the application of Abstract Algebraic Logic (AAL) methods and tools to the specification and verification of software systems. It uses a generalization of the notion of an abstract deductive system to handle multi-sorted deductive systems which differentiate visible and hidden sorts. Two main results of the paper are obtained by generalizing properties of the Leibniz congruence — the central notion in AAL. In this paper we discuss a question we posed in [1] about the relationship between the behavioral equivalences of equivalent hidden logics. We also present a necessary and sufficient intrinsic condition for two hidden logics to be equivalent.

XXI Meeting of the Portuguese Electrochemistry Society & XVIII Iberian Electrochemistry Meeting: abstract book

O XXI Encontro da Sociedade Portuguesa de Eletroquímica & XVIII Encontro Ibérico de Eletroquímica decorreu no Instituto Politécnico de Bragança, Portugal, de 14 a 17 de setembro de 2016. O Encontro permitiu aos participantes apresentar e discutir as suas linhas de trabalho em Eletroquímica bem como, desenvolver parcerias estratégicas com objetivos comuns, pensando também nos desafios que se avizinham no âmbito das políticas Europeias.

Specifications for the construction of local exhaust systems. [Abstract]

Cover title.

Obstacle courses… nature, recreation, and health abstract

Obstacle courses are an activity that brings a group of people together, in which teams are organized to navigate an established route during a set period of time, completing tasks (clues, riddles, or challenges) to meet a defined goal.  Rules and safety norms are explained to all participants; however, they are not informed of the location of the clues, riddles, or challenges.  The following should be considered when organizing an obstacle course: objective, topic to be developed, location, materials needed, clues, riddles or challenges that may be included, and how to supervise that all teams pass the checkpoints.  Like any other activity with a touch of competitiveness, fair play and respect should be above any interest.  If, for any reason, any of the teams has an emergency, solidarity should prevail, and the activity can be used to teach values.  An adventurous spirit is also essential in this activity.  The desire for the unknown and the new challenges individuals and groups.  This activity helps groups of friends, children, adults, families, etc. share a nice and healthy day together in contact with nature, rescuing concepts such as cooperation, cleverness and, particularly, team work.

Technical report: abstract guidance and research process

guidance drafting and redrafting the abstract while building your report contents

General population abstract

Minorities constitute 31.0 percent of South Carolina's population, with African Americans representing 96.1 percent of all minorities in the State. With such a large minority population, it is imperative that information regarding the socio-economic status of minorities and their contribution to the overall socio-economic prosperity of the State be well researched and documented. This report and subsequent documents published by the Commission, will provide data that will be useful in determining the best way to disperse limited state and federal resources and implement new and better targeted public policy initiatives.

State of minorities abstract

This document describes by category the plight or well-being of the State's minority population. It is intended to enlighten the members of minority communities, other citizens of South Carolina, public and private agencies, and policy makers regarding the socioeconomic conditions of minorities in the State and factors that contribute to those conditions. The abstract includes a historical perspective of the minority population, beginning with the State's colonial period. Additionally, it includes a section that discusses current and projected changes in the State's minority population and the implications of those changes for minority persons and the State of South Carolina.

Variety, flexibility, and use of abstract concepts. A multiple grounded perspective.

The nature of concepts is a matter of intense debate in cognitive sciences. While traditional views claim that conceptual knowledge is represented in a unitary symbolic system, recent Embodied and Grounded Cognition theories (EGC) submit the idea that conceptual system is couched in our body and influenced by the environment (Barsalou, 2008). One of the major challenges for EGC is constituted by abstract concepts (ACs), like fantasy. Recently, some EGC proposals addressed this criticism, arguing that the ACs comprise multifaced exemplars that rely on different grounding sources beyond sensorimotor one, including interoception, emotions, language, and sociality (Borghi et al., 2018). However, little is known about how ACs representation varies as a function of life experiences and their use in communication. The theoretical arguments and empirical studies comprised in this dissertation aim to provide evidence on multiple grounding of ACs taking into account their varieties and flexibility. Study I analyzed multiple ratings on a large sample of ACs and identified four distinct subclusters. Study II validated this classification with an interference paradigm involving motor/manual, interoceptive, and linguistic systems during a difficulty rating task. Results confirm that different grounding sources are activated depending on ACs kind. Study III-IV investigate the variability of institutional concepts, showing that the higher the law expertise level, the stronger the concrete/emotional determinants in their representation. Study V introduced a novel interactive task in which abstract and concrete sentences serve as cues to simulate conversation. Analysis of language production revealed that the uncertainty and interactive exchanges increase with abstractness, leading to generating more questions/requests for clarifications with abstract than concrete sentences. Overall, results confirm that ACs are multidimensional, heterogeneous, and flexible constructs and that social and linguistic interactions are crucial to shaping their meanings. Investigating ACs in real-time dialogues may be a promising direction for future research.

Mind the gaps: cognitive-inspired AI for high-level visual sensemaking. Towards abstract concept image classification

The abundance of visual data and the push for robust AI are driving the need for automated visual sensemaking. Computer Vision (CV) faces growing demand for models that can discern not only what images "represent," but also what they "evoke." This is a demand for tools mimicking human perception at a high semantic level, categorizing images based on concepts like freedom, danger, or safety. However, automating this process is challenging due to entropy, scarcity, subjectivity, and ethical considerations. These challenges not only impact performance but also underscore the critical need for interoperability. This dissertation focuses on abstract concept-based (AC) image classification, guided by three technical principles: situated grounding, performance enhancement, and interpretability. We introduce ART-stract, a novel dataset of cultural images annotated with ACs, serving as the foundation for a series of experiments across four key domains: assessing the effectiveness of the end-to-end DL paradigm, exploring cognitive-inspired semantic intermediaries, incorporating cultural and commonsense aspects, and neuro-symbolic integration of sensory-perceptual data with cognitive-based knowledge. Our results demonstrate that integrating CV approaches with semantic technologies yields methods that surpass the current state of the art in AC image classification, outperforming the end-to-end deep vision paradigm. The results emphasize the role semantic technologies can play in developing both effective and interpretable systems, through the capturing, situating, and reasoning over knowledge related to visual data. Furthermore, this dissertation explores the complex interplay between technical and socio-technical factors. By merging technical expertise with an understanding of human and societal aspects, we advocate for responsible labeling and training practices in visual media. These insights and techniques not only advance efforts in CV and explainable artificial intelligence but also propel us toward an era of AI development that harmonizes technical prowess with deep awareness of its human and societal implications.