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  • 1
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 2
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    In:  EPIC3Biology of polar benthic algae / Christian Wiencke (ed.) Berlin : de Gruyter, pp. 163-180, ISBN: 978-3-11-022970-7
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
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  • 3
    Publication Date: 2022-09-23
    Description: Highlights • We modeled landslide susceptibility with statistical and machine learning techniques. • We evaluate performance, predictor importance, and visual appearance of susceptibility maps. • Differences in model prediction performance were for the majority non-significant. • Consequently, landslide modelers may consider selecting modeling techniques based on additional practical criteria. Statistical and now machine learning prediction methods have been gaining popularity in the field of landslide susceptibility modeling. Particularly, these data driven approaches show promise when tackling the challenge of mapping landslide prone areas for large regions, which may not have sufficient geotechnical data to conduct physically-based methods. Currently, there is no best method for empirical susceptibility modeling. Therefore, this study presents a comparison of traditional statistical and novel machine learning models applied for regional scale landslide susceptibility modeling. These methods were evaluated by spatial k-fold cross-validation estimation of the predictive performance, assessment of variable importance for gaining insights into model behavior and by the appearance of the prediction (i.e. susceptibility) map. The modeling techniques applied were logistic regression (GLM), generalized additive models (GAM), weights of evidence (WOE), the support vector machine (SVM), random forest classification (RF), and bootstrap aggregated classification trees (bundling) with penalized discriminant analysis (BPLDA). These modeling methods were tested for three areas in the province of Lower Austria, Austria. The areas are characterized by different geological and morphological settings. Random forest and bundling classification techniques had the overall best predictive performances. However, the performances of all modeling techniques were for the majority not significantly different from each other; depending on the areas of interest, the overall median estimated area under the receiver operating characteristic curve (AUROC) differences ranged from 2.9 to 8.9 percentage points. The overall median estimated true positive rate (TPR) measured at a 10% false positive rate (FPR) differences ranged from 11 to 15pp. The relative importance of each predictor was generally different between the modeling methods. However, slope angle, surface roughness and plan curvature were consistently highly ranked variables. The prediction methods that create splits in the predictors (RF, BPLDA and WOE) resulted in heterogeneous prediction maps full of spatial artifacts. In contrast, the GAM, GLM and SVM produced smooth prediction surfaces. Overall, it is suggested that the framework of this model evaluation approach can be applied to assist in selection of a suitable landslide susceptibility modeling technique.
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2018-03-29
    Description: MaryJane Shimell, Xueyang Pan, Francisco A. Martin, Arpan C. Ghosh, Pierre Leopold, Michael B. O'Connor, and Nuria M. Romero Adult size and fitness are controlled by a combination of genetics and environmental cues. In Drosophila , growth is confined to the larval phase and final body size is impacted by the duration of this phase, which is under neuroendocrine control. The neuropeptide prothoracicotropic hormone (PTTH) has been proposed to play a central role in controlling the length of the larval phase through regulation of ecdysone production, a steroid hormone that initiates larval molting and metamorphosis. Here, we test this by examining the consequences of null mutations in the P tth gene for Drosophila development. Loss of P tth causes several developmental defects, including a delay in developmental timing, increase in critical weight, loss of coordination between body and imaginal disc growth, and reduced adult survival in suboptimal environmental conditions such as nutritional deprivation or high population density. These defects are caused by a decrease in ecdysone production associated with altered transcription of ecdysone biosynthetic genes. Therefore, the PTTH signal contributes to coordination between environmental cues and the developmental program to ensure individual fitness and survival.
    Print ISSN: 0950-1991
    Electronic ISSN: 1477-9129
    Topics: Biology
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  • 5
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Biochemical and Biophysical Research Communications 148 (1987), S. 1053-1062 
    ISSN: 0006-291X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Biochemical and Biophysical Research Communications 141 (1986), S. 1162-1169 
    ISSN: 0006-291X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
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  • 7
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Biochemical and Biophysical Research Communications 141 (1986), S. 1162-1169 
    ISSN: 0006-291X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
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  • 8
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Biochemical and Biophysical Research Communications 148 (1987), S. 1053-1062 
    ISSN: 0006-291X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Psychiatric quarterly 25 (1951), S. 424-433 
    ISSN: 1573-6709
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Conclusions 1. A case of combined organic and functional amnesia as a complication of prolonged insulin coma has been reported. 2. The unusual features of this case have been emphasized from the standpoint of the persistence, the nature of the functional component and the inaccessibility of the amnesia to well-accepted therapeutic procedures. 3. Although the literature reveals conflicting views, it might appear that irreversible organic changes after protracted coma are more frequent than implied. 4. The amnesia in the writers' case gave evidence of a marked emotional component. It is felt by the writers that the role of this factor may have been overlooked in other reports and should be further studied, particularly in the face of recent investigations of emotion in connection with normal and pathological variations of memory. 5. The value of amnesia as a repression mechanism has been well illustrated. It is possible in this case that the previous paranoid psychosis has been submerged within the symptoms and behavior disturbance of the amnesia. Perhaps this is responsible for the resistance of the patient to usual methods of treatment.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Weinheim : Wiley-Blackwell
    Particle and Particle Systems Characterization 4 (1987), S. 49-53 
    ISSN: 0934-0866
    Keywords: Chemistry ; Industrial Chemistry and Chemical Engineering
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Process Engineering, Biotechnology, Nutrition Technology
    Notes: The Malvern Particle Sizer, developed in 1977, is used extensively for measuring the size distribution of solid particles and drops. It has several modes of operation based on a priori assumption of a particle size distribution function and a so-called “model independent” programme in which no prior assumptions are made about the nature of the size distribution. Unfortunately neither the developers nor the manufacturers of the instrument have revealed the algorithm which is used to obtain the particle size distribution from the light scattering data. A number of people who have attempted to verify the performance of the instrument using the model-independent programme have encountered discrepancies which cannot be explained without knowing the details of the Malvern inversion algorithm.The results obtained in this paper show that the light scattering data recorded, using the hardware of the Malvern instrument, can be successfully processed using Shifrin's inversion technique in order to the obtain particle size distribution. The use of Shifrin's inversion algorithm, which is described fully in the open literature, has a number of advantages over Malvern's proprietary software in the context of particle sizing research. It provides the research worker with a simple and mathematically elegant alternative method of processing the light scattering data which is particularly suitable for investigating the limits of applicability of the Fraunhofer diffraction particle-sizing technique.
    Additional Material: 10 Ill.
    Type of Medium: Electronic Resource
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