scholarly journals A linguistic study of humour and allusions in J. R. R. Tolkien’s "Farmer Giles of Ham"

2019 ◽  
pp. 25-58
Author(s):  
Szymon Pindur
Keyword(s):  
Theoretical Framework ◽  
Linguistic Study ◽  
Incongruity Theory ◽  
Different Levels

“Farmer Giles of Ham” is a satirical story by J. R. R. Tolkien. It is full of humour and allusions. The diversity of these elements allows for a detailed linguistic study distinguishing different levels at which the humour can be found and the different ways in which it is achieved. In the present paper, we attempt to discuss these devices and levels of humour and draw some conclusions on their effects. Our study is reinforced by a discussion of theoretical preliminaries of humour analysis, including the classification of the different levels, forms and devices of humour, as well as a brief discussion of the most widely acknowledged theory of humour ‒ the incongruity theory. Using this theoretical framework, we explore the possibilities of viewing the phenomenon of humour in literature from a linguistic perspective and attempt to show the utility of this perspective in literature studies.

Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis

1996 ◽  
Vol 35 (04/05) ◽  
pp. 334-342 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
H. Leitich
Keyword(s):  
Rheumatoid Arthritis ◽  
Reference Model ◽  
American Rheumatism Association ◽  
Uniform Definition ◽  
Sensitivity Rate ◽  
Fuzzy Techniques ◽  
Definition Of ◽  
Different Levels ◽  
Specificity Rate

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.

DAM: A Theoretical Framework for SensorSecurity in IoT Applications

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Bisma Gulzar ◽  
Ankur Gupta
Keyword(s):  
Theoretical Framework ◽  
Sensor Nodes ◽  
Security Threats ◽  
Security Vulnerabilities ◽  
Iot Applications ◽  
Potential Impact ◽  
Multiple Domains ◽  
Sensor Security ◽  
Incorrect Data

As IoT applications are pervasively deployed across multiple domains, the potential impact of their security vulnerabilities are also accentuated. Sensor nodes represent a critical security vulnerability in the IoT ecosystem as they are exposed to the environment and accessible to hackers. When compromised or manipulated, sensor nodes can transmit incorrect data which can have a damaging impact on the overall operation and effectiveness of the system. Researchers have addressed the security vulnerabilities in sensor nodes with several mechanisms being proposed to address them. This paper presents DAM (Detect, Avoid, Mitigate), a theoretical framework to evaluate the security threats and solutions for sensor security in IoT applications and deployments. The framework leads to the classification of sensor security threats and categorization of available solutions which can be used to either detect vulnerabilities and attacks, recover from them or completely avoid them. The proposed framework will be useful for evaluating sensor security in real-world IoT deployments in terms of potential threats and designing possible solution

A chemical–mineralogical classification of common plutonic rocks and associations

1983 ◽  
Vol 73 (3) ◽  
pp. 135-149 ◽  
Author(s):  
F. Debon ◽  
P. Le Fort
Keyword(s):  
Analytical Data ◽  
Quartz Content ◽  
New Approach ◽  
Mineralogical Characteristics ◽  
Simple Chemical ◽  
Plutonic Rocks ◽  
The Individual ◽  
New Criteria ◽  
Different Levels

ABSTRACTA classification is proposed, based mainly on major element analytical data plotted in a coherent set of three simple chemical-mineralogical diagrams. The procedure follows two complementary steps at two different levels. The first is concerned with the individual sample: the sample is given a name (e.g. granite, adamellite, granodiorite) and its chemical and mineralogical characteristics are determined. The second one is more important: it aims at defining the type of magmatic association (or series) to which the studied sample or group of samples belongs. Three main types of association are distinguished: cafemic (from source-material mainly or completely mantle-derived), aluminous (mainly or completely derived by anatexis of continental crust), and alumino-cafemic (intermediate between the other two types). Subtypes are then distinguished among the cafemic and alumino-cafemic associations: calc-alkaline (or granodioritic), subalkaline (or monzonitic), alkaline (and peralkaline), tholeiitic (or gabbroic-trondhjemitic), etc. In the same way, numerous subtypes and variants are also distinguished among the aluminous associations using a set of complementary criteria such as quartz content, colour index, alkali ratio, quartz–alkalies relationships and alumina index.Although involving a new approach using partly new criteria, this classification is consistent with most of the divisions used in previous typologies. The method may also be used in the classification of the volcanic equivalents of common plutonic rocks.

scholarly journals Discrimination of Genealogical Groups of Arabica Coffee by the Chemical Composition of the Beans

2019 ◽  
Vol 11 (16) ◽  
pp. 141
Author(s):  
Larissa O. Fassio ◽  
Marcelo R. Malta ◽  
Gladyston R. Carvalho ◽  
Antônio A. Pereira ◽  
Ackson D. Silva ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Chemical Composition ◽  
Chemical Markers ◽  
Total Lipids ◽  
Germplasm Bank ◽  
Total Sugars ◽  
Coffee Beans ◽  
Different Levels ◽  
Important Marker

This work aimed to characterize and discriminate genealogical groups of coffee as to the chemical composition of the grains through the model created by PLS-DA method. 22 accessions of Coffea arabica, from the Active Germplasm Bank of Minas Gerais, were divided into groups according to the genealogical origin. Samples of ripe fruits were harvested selectively and processed by the wet method, to obtain pulped coffee beans, with 11% (b.u.) of water content. The raw beans were assessed as to the content of polyphenols, total sugars, total lipids, protein, caffeine, sucrose, and fatty acids. The data were submitted the chemometric analysis, PCA and PLS-DA. The results of PLS-DA identified the variables which most influence the classification of genealogical groups and possible chemical markers to accessions processed by the pulped method. The sucrose content was an important marker for the Exotic accession group. However, the content of polyphenols has been identified as a marker for the group Tymor Hybrid, and the caffeine for the bourbon group. The different fatty acids have been identified as markers for all genealogical groups, at different levels. The model PLS-DA is effective in discriminating genealogical groups from the chemical composition of the beans.

scholarly journals The Worshipers of Stones. Lacandon Sacred Stone Landscape

2020 ◽  
Vol 20 (1) ◽  
pp. 1-27
Author(s):  
Milan Kováč
Keyword(s):  
Archaeological Site ◽  
Theoretical Approaches ◽  
Different Types ◽  
Spiritual Energy ◽  
Different Levels ◽  
Rock Shelters

Abstract This article deals with the Lacandon cosmology, one of the few Maya cosmologies which has been exceptionally structured and until today, very well preserved. The present study is based mainly on associations related to stone. There are investigated the emic classifications of the Lacandon. Their classification of divine beings according to their location, and their connection to the stone houses, whether of natural or cultural origin. In the article are analyzed the most sacred Lacandon sites such as the rock shelters, cliffs and caves around the Lake Mensäbäk and Lake Yahaw Petha, as well as Yaxchilan, the archaeological site with the long tradition of Lacandon pilgrimages. The Lacandon believe in different types of transfer of spiritual energy through stone. The stones could be considered on different levels as the seat, heart or embodiment of deities. These relationships and contexts are very complex. The article tries to identify it and to offer some linguistic and theoretical approaches.

A Graph Theoretical Framework for the Strong Gram Classification of Non-negative Unit Forms of Dynkin Type 𝔸n

2022 ◽  
Vol 184 (1) ◽  
pp. 49-82
Author(s):  
Jesús Arturo Jiménez González
Keyword(s):  
Theoretical Framework ◽  
Line Graphs ◽  
Positive Unit ◽  
Dynkin Type ◽  
Principal Unit

In the context of signed line graphs, this article introduces a modified inflation technique to study strong Gram congruence of non-negative (integral quadratic) unit forms, and uses it to show that weak and strong Gram congruence coincide among positive unit forms of Dynkin type 𝔸n. The concept of inverse of a quiver is also introduced, and is used to obtain and analyze the Coxeter matrix of non-negative unit forms of Dynkin type 𝔸n. With these tools, connected principal unit forms of Dynkin type 𝔸n are also classified up to strong congruence.

Data Science for Business Analytics and Business Intelligence

2021 ◽  
pp. 495-508
Author(s):  
Matthias Lederer ◽  
Patrick Schmid
Keyword(s):  
Business Intelligence ◽  
Data Science ◽  
Digital Data ◽  
Competitive Advantages ◽  
Business Analytics ◽  
Simulation And Optimization ◽  
Analytical Skills ◽  
Methods And Techniques ◽  
Different Levels

Data science as the interdisciplinary collection of methods and techniques to support businesses is becoming more and more popular. This article begins with definitions and shows how systematically competitive advantages can be built up on the basis of digital data. Essential sources and types of data-driven knowledge are introduced. Then a classification of approaches of data science concepts is explained. A distinction is made between Business Analytics and Business Intelligence as different levels of analytical skills. The paper goes into depth with these concepts and presents concrete techniques, algorithms, and application scenarios. Thus, the contribution introduces State of the Art approaches to analysis, control, monitoring but also to advanced approaches such as prediction, simulation, and optimization.

Integrating Theories of Working Memory

2020 ◽  
pp. 389-430
Author(s):  
Robert H. Logie ◽  
Clément Belletier ◽  
Jason M. Doherty
Keyword(s):  
Working Memory ◽  
Empirical Evidence ◽  
Cognitive Functions ◽  
Scientific Progress ◽  
Theoretical Framework ◽  
Theoretical Frameworks ◽  
Levels Of Explanation ◽  
Research Questions ◽  
Multiple Component ◽  
Different Levels

Multiple theories of working memory are described in the chapters of this book and often these theories are viewed as being mutually incompatible, yet each is associated with a supporting body of empirical evidence. This chapter argues that many of these differences reflect different research questions, different levels of explanation, and differences in how participants perform their assigned tasks in different laboratories, rather than fundamental theoretical adversity. It describes a version of a multiple component working memory in which a range of specialized cognitive functions (or mental tools) act in concert, giving the impression, at a different level of explanation, of a unified cognitive system. The chapter argues that more rapid and more substantial scientific progress on the understanding of the concept of working memory would be achieved through identifying the levels of explanation explored within each theoretical framework, and attempting to integrate theoretical frameworks rather than perpetuating debate with no clear resolution in sight.

scholarly journals Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content

Algorithms ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 83 ◽  
Author(s):  
Giannis Haralabopoulos ◽  
Ioannis Anagnostopoulos ◽  
Derek McAuley
Keyword(s):  
Deep Learning ◽  
Sentiment Analysis ◽  
Ensemble Learning ◽  
Affective Computing ◽  
Binary Classification ◽  
User Generated Content ◽  
Emotional Information ◽  
Multiple Classifiers ◽  
Different Levels

Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described by a single emotion class. Multilabel classifiers can categorize human-generated content in multiple emotional classes. Ensemble learning can improve the statistical, computational and representation aspects of such classifiers. We present a baseline stacked ensemble and propose a weighted ensemble. Our proposed weighted ensemble can use multiple classifiers to improve classification results without hyperparameter tuning or data overfitting. We evaluate our ensemble models with two datasets. The first dataset is from Semeval2018-Task 1 and contains almost 7000 Tweets, labeled with 11 sentiment classes. The second dataset is the Toxic Comment Dataset with more than 150,000 comments, labeled with six different levels of abuse or harassment. Our results suggest that ensemble learning improves classification results by 1.5 % to 5.4 % .

scholarly journals On the interaction of Linguistic Typology and Functional Grammar

2003 ◽  
Vol 9 (2) ◽  
pp. 209-237 ◽  
Author(s):  
Jan Rijkhoff
Keyword(s):  
Noun Phrase ◽  
Theoretical Framework ◽  
Word Class ◽  
Grammatical Category ◽  
Functional Grammar ◽  
Linguistic Typology ◽  
Sampling Methodology ◽  
Layered Model ◽  
Distinct Word

Research conducted within the wider theoretical framework of Dik’s Functional Grammar has resulted in important contributions to linguistic typology, and, vice versa, empirical facts from a wide variety of languages have significantly improved the theory of Functional Grammar, especially regarding its typological adequacy. This article discusses the following contributions to Linguistic Typology: the development of a sound sampling methodology, classification of noun categories (Seinsarten), an account of (so-called) number discord, the introduction of the new grammatical category of ‘nominal aspect’, a new typology of classifiers, and a universal concerning the occurrence of adjectives as a distinct word class. Conversely it will be shown that facts from many different languages have played an important role in the development of a layered model of the noun phrase in Functional Grammar and how currently these facts are used to test hypotheses concerning parallels between NPs and clauses.

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