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  • 1
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    Two new catalogues of superclusters of Abell/ACO galaxy clusters out to redshift 0.15 (2014)
    Oxford University Press
    Details
    Publication Date: 2014-11-06
    Description: We present two new catalogues of superclusters of galaxies out to a redshift of z  = 0.15, based on the Abell/ACO cluster redshift compilation maintained by one of us (HA). The first of these catalogues, the all-sky Main SuperCluster Catalogue (MSCC), is based on only the rich (A-) Abell clusters, and the second one, the Southern SuperCluster Catalogue (SSCC), covers declinations  〈 –17° and includes the supplementary Abell S-clusters. A tunable Friends-of-Friends algorithm was used to account for the cluster density decreasing with redshift and for different selection functions in distinct areas of the sky. We present the full list of Abell clusters used, together with their redshifts and supercluster memberships and including the isolated clusters. The SSCC contains about twice the number of superclusters than MSCC for  〈 –17°, which we found to be due to (1) new superclusters formed by A-clusters in their cores and surrounded by S-clusters (50 per cent), (2) new superclusters formed by S-clusters only (40 per cent), (3) redistribution of member clusters by fragmentation of rich (multiplicity m 〉 15) superclusters (8 per cent), and (4) new superclusters formed by the connection of A-clusters through bridges of S-clusters (2 per cent). Power-law fits to the cumulative supercluster multiplicity function yield slopes of α = –2.0 and α = –1.9 for MSCC and SSCC, respectively. This power-law behaviour is in agreement with the findings for other observational samples of superclusters, but not with that of catalogues based on cosmological simulations.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
    Published by Oxford University Press
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  • 2
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    Sensors, Vol. 19, Pages 2017: Virtual Sensors for Optimal Integration of Human Activity Data (2019)
    MDPI
    In: Sensors
    Details
    Publication Date: 2019
    Description: Sensors are becoming more and more ubiquitous as their price and availability continue to improve, and as they are the source of information for many important tasks. However, the use of sensors has to deal with noise and failures. The lack of reliability in the sensors has led to many forms of redundancy, but simple solutions are not always the best, and the precise way in which several sensors are combined has a big impact on the overall result. In this paper, we discuss how to deal with the combination of information coming from different sensors, acting thus as “virtual sensors”, in the context of human activity recognition, in a systematic way, aiming for optimality. To achieve this goal, we construct meta-datasets containing the “signatures” of individual datasets, and apply machine-learning methods in order to distinguish when each possible combination method could be actually the best. We present specific results based on experimentation, supporting our claims of optimality.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI
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  • 3
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    Sensors, Vol. 18, Pages 2857: Towards an Efficient One-Class Classifier for Mobile Devices and Wearable Sensors on the Context of Personal Risk Detection (2018)
    MDPI Publishing
    In: Sensors
    Details
    Publication Date: 2018-08-31
    Description: Sensors, Vol. 18, Pages 2857: Towards an Efficient One-Class Classifier for Mobile Devices and Wearable Sensors on the Context of Personal Risk Detection Sensors doi: 10.3390/s18092857 Authors: Luis A. Trejo Ari Yair Barrera-Animas In this work, we present a first step towards an efficient one-class classifier well suited for mobile devices to be implemented as part of a user application coupled with wearable sensors in the context of personal risk detection. We compared one-class Support Vector Machine (ocSVM) and OCKRA (One-Class K-means with Randomly-projected features Algorithm). Both classifiers were tested using four versions of the publicly available PRIDE (Personal RIsk DEtection) dataset. The first version is the original PRIDE dataset, which is based only on time-domain features. We created a second version that is simply an extension of the original dataset with new attributes in the frequency domain. The other two datasets are a subset of these two versions, after a feature selection procedure based on a correlation matrix analysis followed by a Principal Component Analysis. All experiments were focused on the performance of the classifiers as well as on the execution time during the training and classification processes. Therefore, our goal in this work is twofold: we aim at reducing execution time but at the same time maintaining a good classification performance. Our results show that OCKRA achieved on average, 89.1% of Area Under the Curve (AUC) using the full set of features and 83.7% when trained using a subset of them. Furthermore, regarding execution time, OCKRA reports in the best case a 33.1% gain when using a subset of the feature vector, instead of the full set of features. These results are better than those reported by ocSVM, in which case, even though the AUCs are very close to each other, execution times are significantly higher in all cases, for example, more than 20 h versus less than an hour in the worst-case scenario. Having in mind the trade-off between classification performance and efficiency, our results support the choice of OCKRA as our best candidate so far for a mobile implementation where less processing and memory resources are at hand. OCKRA reports a very encouraging speed-up without sacrificing the classifier performance when using the PRIDE dataset based only on time-domain attributes after a feature selection procedure.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI Publishing
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  • 4
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    Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum (2011)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2011-05-10
    Description: Flow cytometry is an essential tool for dissecting the functional complexity of hematopoiesis. We used single-cell "mass cytometry" to examine healthy human bone marrow, measuring 34 parameters simultaneously in single cells (binding of 31 antibodies, viability, DNA content, and relative cell size). The signaling behavior of cell subsets spanning a defined hematopoietic hierarchy was monitored with 18 simultaneous markers of functional signaling states perturbed by a set of ex vivo stimuli and inhibitors. The data set allowed for an algorithmically driven assembly of related cell types defined by surface antigen expression, providing a superimposable map of cell signaling responses in combination with drug inhibition. Visualized in this manner, the analysis revealed previously unappreciated instances of both precise signaling responses that were bounded within conventionally defined cell subsets and more continuous phosphorylation responses that crossed cell population boundaries in unexpected manners yet tracked closely with cellular phenotype. Collectively, such single-cell analyses provide system-wide views of immune signaling in healthy human hematopoiesis, against which drug action and disease can be compared for mechanistic studies and pharmacologic intervention.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3273988/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3273988/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bendall, Sean C -- Simonds, Erin F -- Qiu, Peng -- Amir, El-ad D -- Krutzik, Peter O -- Finck, Rachel -- Bruggner, Robert V -- Melamed, Rachel -- Trejo, Angelica -- Ornatsky, Olga I -- Balderas, Robert S -- Plevritis, Sylvia K -- Sachs, Karen -- Pe'er, Dana -- Tanner, Scott D -- Nolan, Garry P -- 1R01CA130826/CA/NCI NIH HHS/ -- 272200700038C/PHS HHS/ -- 5U54 CA143907/CA/NCI NIH HHS/ -- HHSN268201000034C/HV/NHLBI NIH HHS/ -- N0I-HV-00242/HV/NHLBI NIH HHS/ -- P01 CA034233/CA/NCI NIH HHS/ -- PN2 EY018228/EY/NEI NIH HHS/ -- R01 CA130826/CA/NCI NIH HHS/ -- R01 CA130826-04/CA/NCI NIH HHS/ -- RB2-01592/PHS HHS/ -- U19 AI057229/AI/NIAID NIH HHS/ -- U54 CA149145/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2011 May 6;332(6030):687-96. doi: 10.1126/science.1198704.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21551058" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Antibodies ; Antigens, Surface/analysis ; B-Lymphocytes/drug effects/immunology/metabolism ; Bone Marrow Cells/cytology/*drug effects/*immunology/metabolism ; Cytokines/metabolism ; Dasatinib ; Flow Cytometry/*methods ; Hematopoiesis ; Humans ; Immunophenotyping ; Lanthanoid Series Elements ; Leukocytes, Mononuclear/drug effects/immunology/metabolism ; Lymphocyte Activation ; Lymphocyte Subsets/*drug effects/*immunology/metabolism ; Mass Spectrometry ; Phosphorylation ; Protein Kinase Inhibitors/pharmacology ; Protein-Tyrosine Kinases/antagonists & inhibitors ; Pyrimidines/*pharmacology ; *Signal Transduction/drug effects ; Single-Cell Analysis/*methods ; T-Lymphocytes/drug effects/immunology/metabolism ; Thiazoles/*pharmacology ; Transition Elements
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 5
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    Diffusion–Viscosity Decoupling in Supercooled Glycerol Aqueous Solutions (2014)
    American Chemical Society (ACS)
    Details
    Publication Date: 2014-12-19
    Description: The Journal of Physical Chemistry B DOI: 10.1021/jp509055v
    Electronic ISSN: 1520-5207
    Topics: Chemistry and Pharmacology , Physics
    Published by American Chemical Society (ACS)
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  • 6
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    Sensors, Vol. 19, Pages 3808: Multi-Sensor Fusion for Activity Recognition—A Survey (2019)
    MDPI
    In: Sensors
    Details
    Publication Date: 2019
    Description: In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the context, so its recognition is of paramount importance for applications in areas like sports, medicine, personal safety, and so forth. The concurrent use of multiple sensors for recognition of human activities in AmI is a good practice because the information missed by one sensor can sometimes be provided by the others and many works have shown an accuracy improvement compared to single sensors. However, there are many different ways of integrating the information of each sensor and almost every author reporting sensor fusion for activity recognition uses a different variant or combination of fusion methods, so the need for clear guidelines and generalizations in sensor data integration seems evident. In this survey we review, following a classification, the many fusion methods for information acquired from sensors that have been proposed in the literature for activity recognition; we examine their relative merits, either as they are reported and sometimes even replicated and a comparison of these methods is made, as well as an assessment of the trends in the area.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI
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  • 7
    Electronic Resource
    Electronic Resource
    Enzymatic Production of High-Protein Amaranth Flour and Carbohydrate Rich Fraction (1990)
    Oxford, UK : Blackwell Publishing Ltd
    Journal of food science 55 (1990), S. 0 
    Details
    ISSN: 1750-3841
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Process Engineering, Biotechnology, Nutrition Technology
    Notes: The basic conditions of an enzymatic process to produce high-protein amaranth flour (HPAF) and carbohydrate rich fraction (CRF) from raw flour were determined. Commercial preparations of α-amylase and glucoamylase were used. Conditions for both enzymes were: 20% (w/v) slurries of gelatinized whole flour and 0.10% (v/w) enzyme; for amylase, pH 6.5, 70°C and 30 min liquefaction time; for glucoamylase, pH 4.5, 60°C and 60 min. The yield of HPAF was 38–39%. HPAF from both enzymes had 26–28% protein, 10–16% fat and 40–52% starch. Protein digestibility (76%) and reactive lysine (6.6–7.1 g/100g protein) of HPAF were comparable to raw flour. CRF had a 17–21 dextrose equivalent.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-2621.1990.tb01621.x
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  • 8
    Electronic Resource
    Electronic Resource
    Loose binding of testicular mitochondrial ATPase to the inner membrane
    Amsterdam : Elsevier
    Archives of Biochemistry and Biophysics 232 (1984), S. 441-449 
    Details
    ISSN: 0003-9861
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/0003-9861(84)90560-5
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  • 9
    Electronic Resource
    Electronic Resource
    Vapour pressure and critical constants of 1,2-dichloroethane
    Amsterdam : Elsevier
    The @Journal of Chemical Thermodynamics 17 (1985), S. 981-983 
    Details
    ISSN: 0021-9614
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/0021-9614(85)90012-6
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  • 10
    Electronic Resource
    Electronic Resource
    Thermal-pressure coefficients of some n-alkanenitriles
    Amsterdam : Elsevier
    The @Journal of Chemical Thermodynamics 19 (1987), S. 561-564 
    Details
    ISSN: 0021-9614
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/0021-9614(87)90061-9
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