Activated sludge population dynamics

1994 ◽  
Vol 30 (11) ◽  
pp. 159-169 ◽  
Author(s):  
Jiri Wanner
Keyword(s):  
Population Dynamics ◽  
Activated Sludge ◽  
Organic Pollution ◽  
Paper Briefly ◽  
Microbial Composition ◽  
Selection Mechanisms ◽  
Sludge Settling

The paper briefly surveys topics covered by the IAWQ Specialist Group on Activated Sludge Population Dynamics. The activated sludge population dynamics has been formulated as a branch of water science and technology concerned with phenomena governing the relationships between activated sludge microorganisms and their functions. The characterization of organic pollution fractions in wastewaters according to their rate of biodegradation has been discussed and the role of wastewater as an inoculum stressed. The characterization of activated sludge biomass has been evaluated from two viewpoints: grouping according to metabolic abilities and identification and classification of activated sludge microorganisms. The basic selection mechanisms influencing the microbial composition of activated sludge have been described. The problems with activated sludge settling and thickening properties have been mentioned as a typical example of applied population dynamics research.

scholarly journals Smartphones and Learning: An Extension of M-Learning or a Distinct Area of Inquiry

2022 ◽  
Vol 12 (1) ◽  
pp. 50
Author(s):  
Kendall Hartley ◽  
Alberto Andújar
Keyword(s):  
Future Research ◽  
Unique Role ◽  
Distinct Area ◽  
Unique Nature ◽  
Author Keywords ◽  
Learning Research ◽  
Research In Education

The smartphone has become an integral part of the education landscape. While there has been significant smartphone research in education under the guise of m-learning, the unique role of the device suggests that m-learning may not be an appropriate characterization. The purpose of this paper is to review the use of m-learning as a primary descriptor for smartphone- and learning-related research. In support of this goal, the paper reviews the definitions associated with m-learning, smartphones, and related technologies from the perspective of educational research. In addition, a review of author keywords of research on smartphones in education is used to provide context to the classification of the research. Finally, three theoretically guided smartphone programs are presented as evidence of the unique nature of smartphone and learning research. This review concludes with recommendations for the characterization of future research.

scholarly journals Are Virtual Particles Less Real?

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 141 ◽  
Author(s):  
Gregg Jaeger
Keyword(s):  
Quantum Field ◽  
Interacting Particles ◽  
Virtual Particles ◽  
Quantum Particles ◽  
Action At A Distance ◽  
Relationship Of ◽  
The Relationship

The question of whether virtual quantum particles exist is considered here in light of previous critical analysis and under the assumption that there are particles in the world as described by quantum field theory. The relationship of the classification of particles to quantum-field-theoretic calculations and the diagrammatic aids that are often used in them is clarified. It is pointed out that the distinction between virtual particles and others and, therefore, judgments regarding their reality have been made on basis of these methods rather than on their physical characteristics. As such, it has obscured the question of their existence. It is here argued that the most influential arguments against the existence of virtual particles but not other particles fail because they either are arguments against the existence of particles in general rather than virtual particles per se, or are dependent on the imposition of classical intuitions on quantum systems, or are simply beside the point. Several reasons are then provided for considering virtual particles real, such as their descriptive, explanatory, and predictive value, and a clearer characterization of virtuality—one in terms of intermediate states—that also applies beyond perturbation theory is provided. It is also pointed out that in the role of force mediators, they serve to preclude action-at-a-distance between interacting particles. For these reasons, it is concluded that virtual particles are as real as other quantum particles.

In vitro mutagenicity, NMR metabolite characterization of azo and triphenylmethanes dyes by adherents bacteria and the role of the “cna” adhesion gene in activated sludge

2017 ◽  
Vol 103 ◽  
pp. 29-39 ◽  
Author(s):  
Lamia Ayed ◽  
Karima Bakir ◽  
Hedi Ben Mansour ◽  
Saousen Hammami ◽  
Abdelkrim Cheref ◽  
...  
Keyword(s):  
Activated Sludge

Texture-Based Evolutionary Method for Cancer Classification in Histopathology

2016 ◽  
pp. 55-69
Author(s):  
Kiran Fatima ◽  
Hammad Majeed
Keyword(s):  
Classification Accuracy ◽  
Malignant Tumors ◽  
Svm Classifier ◽  
Breast Cancer Dataset ◽  
Cancer Dataset ◽  
Tissue Samples ◽  
Diagnostic And Prognostic Value

Real-world histology tissue textures owing to non-homogeneous nature and unorganized spatial intensity variations are complex to analyze and classify. The major challenge in solving pathological problems is inherent complexity due to high intra-class variability and low inter-class variation in texture of histology samples. The development of computational methods to assists pathologists in characterization of these tissue samples would have great diagnostic and prognostic value. In this chapter, an optimized texture-based evolutionary framework is proposed to provide assistance to pathologists for classification of benign and pre-malignant tumors. The proposed framework investigates the imperative role of RGB color channels for discrimination of cancer grades or subtypes, explores higher-order statistical features at image-level, and implements an evolution-based optimization scheme for feature selection and classification. The highest classification accuracy of 99.06% is achieved on meningioma dataset and 90% on breast cancer dataset through Quadratic SVM classifier.

The Russians and Chinese Proverbs of the Lexemes «Mother», «Father», «Husband», «Wife» in the Russian and Chinese Communication

10.12737/5744 ◽  
2014 ◽  
Vol 3 (5) ◽  
pp. 34-39
Author(s):  
Гогулина ◽  
N. Gogulina ◽  
Вэньцзя ◽  
Wang Vncz
Keyword(s):  
Comparative Study ◽  
Family Member ◽  
Family Members

The article deals with the problem of comparative study of Russian and Chinese proverbs. The paper is an analysis of some nouns of persons through relationship and Proverbs with nouns and conceptually important for Russian and Chinese philology and culture. The work is done at the interface between Linguistics and culture experts and is aimed at identifying national cultural specifics of Russian and Chinese Proverbs with the names of persons on the basis of kinship. It is in the axiological notions of gender, kinship and family in Russian and Chinese cultures reflected in paremias that the national specifics is detected. The article gives logical and thematic classification of the collected material, which includes the following semantic groups: characterization of the role of a family member, their emotionally estimated characteristics, relationships between family members.

scholarly journals Variability and stability of large-scale cortical oscillation patterns

2016 ◽  
Author(s):  
Roy Cox ◽  
Anna C Schapiro ◽  
Robert Stickgold
Keyword(s):  
Large Scale ◽  
Rhythmic Activity ◽  
Brain Organization ◽  
Spatial And Temporal Scales ◽  
Network Analyses ◽  
Performance Results ◽  
And Behavior

AbstractIndividual differences in brain organization exist at many spatial and temporal scales, contributing to the substantial heterogeneity underlying human thought and behavior. Oscillatory neural activity is crucial for these behaviors, but how such rhythms are expressed across the cortex within and across individuals has not been thoroughly characterized. Combining electroencephalography (EEG) with representational similarity and multivariate classification techniques, we provide a systematic characterization of brain-wide activity across frequency bands and oscillatory features during rest and task performance. Results indicate that oscillatory profiles exhibit sizable group-level correspondences, indicating the presence of common templates of oscillatory organization. At the same time, we observed well-defined subject-specific network profiles that were discernible above and beyond the structure shared across individuals. These individualized patterns were sufficiently stable over time to allow successful classification of individuals several months later. Finally, our findings indicate that the network structure of rhythmic activity varies considerably across distinct oscillatory frequencies and features, suggesting the existence of multiple, parallel information processing streams embedded in distributed electrophysiological activity. Together, these findings affirm the richness of spatiotemporal EEG signals and emphasize the utility of multivariate network analyses for understanding the role of brain oscillations in physiology and behavior.

scholarly journals Characterization of ApuB, an Extracellular Type II Amylopullulanase from Bifidobacterium breve UCC2003

2008 ◽  
Vol 74 (20) ◽  
pp. 6271-6279 ◽  
Author(s):  
Mary O'Connell Motherway ◽  
Gerald F. Fitzgerald ◽  
Sabine Neirynck ◽  
Sinead Ryan ◽  
Lothar Steidler ◽  
...  
Keyword(s):  
Energy Source ◽  
Physiological Role ◽  
Class Ii ◽  
Type Ii ◽  
Starch Metabolism ◽  
Bifidobacterium Breve ◽  
Knockout Mutation

ABSTRACT The apuB gene of Bifidobacterium breve UCC2003 was shown to encode an extracellular amylopullulanase. ApuB is composed of a distinct N-terminally located α-amylase-containing domain which hydrolyzes α-1,4-glucosidic linkages in starch and related polysaccharides and a C-terminally located pullulanase-containing domain which hydrolyzes α-1,6 linkages in pullulan, allowing the classification of this enzyme as a bifunctional class II pullulanase. A knockout mutation of the apuB gene in B. breve UCC2003 rendered the resulting mutant incapable of growth in medium containing starch, amylopectin, glycogen, or pullulan as the sole carbon and energy source, confirming the crucial physiological role of this gene in starch metabolism.

Chemokines in the pathogenesis of liver disease: so many players with poorly defined roles

2002 ◽  
Vol 104 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Kenneth J. SIMPSON ◽  
Neil C. HENDERSON ◽  
Cynthia L. BONE-LARSON ◽  
Nicholas W. LUKACS ◽  
Cory M. HOGABOAM ◽  
...  
Keyword(s):  
Liver Disease ◽  
Hiv Infection ◽  
Inflammatory Cells ◽  
Hepatic Disease ◽  
Novel Therapies ◽  
Biological Functions ◽  
New Classification

Many new chemokines have been described in recent years, resulting in a new classification of these chemoattractant proteins. The characterization of the biological functions of most chemokines relates to their ability to induce chemotaxis in circulating inflammatory cells. However, it is now clear that chemokines have a much wider biological role, including angiogenesis, carcinogenesis and involvement in the pathogenesis of HIV infection. Our understanding of the role of chemokines in the pathogenesis of disorders of the lungs and brain outstrips that with regard to disorders of the liver. An increased understanding of the role of chemokines in the pathogenesis of liver disease may lead to the development of novel therapies for hepatic disease.

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