Comparative ultrastructure and systematics of the Colpodida. An ultrastructural description of Colpoda maupasi Enriquez, 1908

1976 ◽  
Vol 54 (3) ◽  
pp. 405-420 ◽  
Author(s):  
Denis H. Lynn
Keyword(s):  
Structural Variation ◽  
Ciliated Protozoa ◽  
Biological Organization ◽  
Present Scheme ◽  
Ultrastructure And Systematics ◽  
Different Levels ◽  
Comparative Ultrastructure

Structural variation at different levels of biological organization is considered important to the systematics of ciliated protozoa. Analysis of the ultrastructural literature on ciliates led to the structural-conservatism hypothesis, which has been formulated to account for the variation of ultrastructural components, primarily microtubular, in the cortex of diverse ciliate genera. The hypothesis proposes that the conservation of structure through time is inversely related lo the level of biological organization. This study presents a light microscopic and ultrastructural description of Colpoda maupasi Enriquez, 1908. Comparison of C. maupasi with other species of the Colpodida supports the structural-conservatism hypothesis. With this hypothesis, several relational inconsistencies are demonstrated in the present scheme of classification of the ciliates.

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.

scholarly journals Scarcity of scale-free topology is universal across biochemical networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Harrison B. Smith ◽  
Hyunju Kim ◽  
Sara I. Walker
Keyword(s):  
Large Body ◽  
Biochemical Networks ◽  
Biological Organization ◽  
Scale Free ◽  
Levels Of Organization ◽  
Common Structure ◽  
Domains Of Life ◽  
Ecosystem Level ◽  
Different Levels ◽  
Organizing Principles

AbstractBiochemical reactions underlie the functioning of all life. Like many examples of biology or technology, the complex set of interactions among molecules within cells and ecosystems poses a challenge for quantification within simple mathematical objects. A large body of research has indicated many real-world biological and technological systems, including biochemistry, can be described by power-law relationships between the numbers of nodes and edges, often described as “scale-free”. Recently, new statistical analyses have revealed true scale-free networks are rare. We provide a first application of these methods to data sampled from across two distinct levels of biological organization: individuals and ecosystems. We analyze a large ensemble of biochemical networks including networks generated from data of 785 metagenomes and 1082 genomes (sampled from the three domains of life). The results confirm no more than a few biochemical networks are any more than super-weakly scale-free. Additionally, we test the distinguishability of individual and ecosystem-level biochemical networks and show there is no sharp transition in the structure of biochemical networks across these levels of organization moving from individuals to ecosystems. This result holds across different network projections. Our results indicate that while biochemical networks are not scale-free, they nonetheless exhibit common structure across different levels of organization, independent of the projection chosen, suggestive of shared organizing principles across all biochemical networks.

scholarly journals Methods in field chronobiology

2017 ◽  
Vol 372 (1734) ◽  
pp. 20160247 ◽  
Author(s):  
Davide M. Dominoni ◽  
Susanne Åkesson ◽  
Raymond Klaassen ◽  
Kamiel Spoelstra ◽  
Martin Bulla
Keyword(s):  
Technological Development ◽  
Monitoring Systems ◽  
Migratory Restlessness ◽  
Biological Organization ◽  
Rapid Improvement ◽  
Free Living ◽  
The Future ◽  
In The Wild ◽  
Temporal Aspect ◽  
Different Levels

Chronobiological research has seen a continuous development of novel approaches and techniques to measure rhythmicity at different levels of biological organization from locomotor activity (e.g. migratory restlessness) to physiology (e.g. temperature and hormone rhythms, and relatively recently also in genes, proteins and metabolites). However, the methodological advancements in this field have been mostly and sometimes exclusively used only in indoor laboratory settings. In parallel, there has been an unprecedented and rapid improvement in our ability to track animals and their behaviour in the wild. However, while the spatial analysis of tracking data is widespread, its temporal aspect is largely unexplored. Here, we review the tools that are available or have potential to record rhythms in the wild animals with emphasis on currently overlooked approaches and monitoring systems. We then demonstrate, in three question-driven case studies, how the integration of traditional and newer approaches can help answer novel chronobiological questions in free-living animals. Finally, we highlight unresolved issues in field chronobiology that may benefit from technological development in the future. As most of the studies in the field are descriptive, the future challenge lies in applying the diverse technologies to experimental set-ups in the wild. This article is part of the themed issue ‘Wild clocks: integrating chronobiology and ecology to understand timekeeping in free-living animals’.

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.

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.

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 Interactivity features of Online Newspapers: from a facsimile model to a multimedia model one. Interactivity in online journals.

2017 ◽  
Vol 20 (2) ◽  
Author(s):  
María-José Baños-Moreno ◽  
Juan-Antonio Pastor-Sánchez ◽  
Rodrigo Martínez-Béjar
Keyword(s):  
User Generated Content ◽  
Multimedia Model ◽  
Stages Of Development ◽  
Online Newspapers ◽  
Online Journals ◽  
Media Firms ◽  
Measuring Tool ◽  
Different Levels

The purpose of this article is to know the current interactivity options in online newspapers. To do this, we analyze the concept of (structural) interactivity and establish a measuring tool based on some previous methodologies. This model includes a classification of newspapers into stages of development. In this way, we provide a tool, which allows media firms to know the degree of interactivity in newspapers, assessing what dimensions and parameters are being incorporated. It was applied to a sample of 21 online newspapers. Results show poor implementation of participation and customization options. There is a niche to be covered by sections of user-generated content and closer collaboration journalists-citizens. It will require a real adaptation to the new possibilities of interaction with readers at different levels of involvement and participation. The majority of newspapers are classified in a digital stage and some of them are close to the multimedia phase.

scholarly journals CLOVE: classification of genomic fusions into structural variation events

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Jan Schröder ◽  
Adrianto Wirawan ◽  
Bertil Schmidt ◽  
Anthony T. Papenfuss
Keyword(s):  
Structural Variation
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