Extreme Values of the Strength of Single Filaments and Threads of a Paraaramide Fiber After Its Treatment by a Water Suspension of Carbon Nanoparticles

2021 ◽  
Author(s):  
S. M. Shebanov
Keyword(s):  
Carbon Nanoparticles ◽  
Extreme Values ◽  
Water Suspension

MAGNETO-OPTIC PROPERTIES OF CARBON NANOPARTICLES IN SUSPENSION

2002 ◽  
Vol 01 (03n04) ◽  
pp. 269-275 ◽  
Author(s):  
SERGEY POLUSHIN ◽  
EVGENY RJUMTSEV ◽  
VLADIMIR NIKITIN ◽  
ANDREY PONOMAREV ◽  
DMITRY LETENKO
Keyword(s):  
Carbon Nanotubes ◽  
Carbon Nanoparticles ◽  
Water Suspension ◽  
Competitive Effects ◽  
Magnetic Birefringence ◽  
Multi Walled Carbon Nanotubes ◽  
Walled Carbon Nanotubes ◽  
Enrichment Process ◽  
Positive Effect ◽  
Magneto Optic

The magnetic birefringence of the water suspension of materials containing up to 5% of multi-walled carbon nanotubes (MWNTs) was investigated in this work. The observed magneto-optic effect may be considered as a superposition of competitive effects. The negative one is due to the presence of graphite nanoclusters in the suspension, and the positive effect is due to the stick-like nanostructures such as MWNTs and their aggregates. It was found that the speed of sedimentation for nanotubes is less than it for graphite-like particles. As a result, the enrichment process takes place.

The interaction of carbon nanoparticles with neutrophilic granulocytes: a target for therapeutic approaches

Pneumologie ◽  
2013 ◽  
Vol 67 (12) ◽  
Author(s):  
U Sydlik ◽  
U Krämer ◽  
M Kroker ◽  
A Paunel ◽  
S Keymel ◽  
...  
Keyword(s):  
Carbon Nanoparticles ◽  
Neutrophilic Granulocytes ◽  
Therapeutic Approaches

EXTREME VALUES OF SEA SURFACE TEMPERATURE ASSOCIATED WITH LONG-PERIOD PHENOMENA OCCURRED DURING 1960-2015 IN THE COLOMBIAN PACIFIC OCEAN

2017 ◽  
Author(s):  
Diaz Juan Navia ◽  
Diaz Juan Navia ◽  
Bolaños Nancy Villegas ◽  
Bolaños Nancy Villegas ◽  
Igor Malikov ◽  
...  
Keyword(s):  
Time Series ◽  
Pacific Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Extreme Values ◽  
Sea Surface ◽  
Absolute Maximum ◽  
Data Set ◽  
Arctic Oscillation Index ◽  
Colombian Pacific

Sea Surface Temperature Anomalies (SSTA), in four coastal hydrographic stations of Colombian Pacific Ocean, were analyzed. The selected hydrographic stations were: Tumaco (1°48'N-78°45'W), Gorgona island (2°58'N-78°11'W), Solano Bay (6°13'N-77°24'W) and Malpelo island (4°0'N-81°36'W). SSTA time series for 1960-2015 were calculated from monthly Sea Surface Temperature obtained from International Comprehensive Ocean Atmosphere Data Set (ICOADS). SSTA time series, Oceanic Nino Index (ONI), Pacific Decadal Oscillation index (PDO), Arctic Oscillation index (AO) and sunspots number (associated to solar activity), were compared. It was found that the SSTA absolute minimum has occurred in Tumaco (-3.93°C) in March 2009, in Gorgona (-3.71°C) in October 2007, in Solano Bay (-4.23°C) in April 2014 and Malpelo (-4.21°C) in December 2005. The SSTA absolute maximum was observed in Tumaco (3.45°C) in January 2002, in Gorgona (5.01°C) in July 1978, in Solano Bay (5.27°C) in March 1998 and Malpelo (3.64°C) in July 2015. A high correlation between SST and ONI in large part of study period, followed by a good correlation with PDO, was identified. The AO and SSTA have showed an inverse relationship in some periods. Solar Cycle has showed to be a modulator of behavior of SSTA in the selected stations. It was determined that extreme values of SST are related to the analyzed large scale oscillations.

Characterisation of production of organic rich topsoil from sludge

2000 ◽  
Vol 42 (9) ◽  
pp. 195-201 ◽  
Author(s):  
P. Andreasen ◽  
P. B. Mortensen ◽  
A. Stubsgaard ◽  
B. Langdahl
Keyword(s):  
Organic Matter ◽  
Oxygen Consumption ◽  
Oxygen Transport ◽  
Mineral Soil ◽  
Climatic Conditions ◽  
Growth Media ◽  
Soil Mixture ◽  
Water Suspension ◽  
Aerobic Process ◽  
Stable Product

The stabilisation of a sludge-mineral soil mixture and a method to evaluate the state of stabilisation were investigated. The organic matter and nitrogen content are reduced up to 50% during a stabilisation process of three months under Danish climatic conditions. The stabilisation was shown to be an aerobic process limited by oxygen transport within the mixture. The degree of stabilisation was evaluated by oxygen consumption in a water suspension and the results showed that a stable product was achieved when oxygen consumption was stable and in the level of natural occurring aerobic soils (0.1 mgO2/(g DS*hr). The study thereby demonstrates that a stability of a growth media can be controlled by the oxygen consumption method tested.

Strategies for Conjugation of Biomolecules to Nanoparticles as Tumor Targeting Agents

2019 ◽  
Vol 25 (37) ◽  
pp. 3917-3926
Author(s):  
Sajjad Molavipordanjani ◽  
Seyed Jalal Hosseinimehr
Keyword(s):  
Drug Delivery ◽  
Iron Oxide ◽  
Medical Imaging ◽  
Cancer Diagnosis ◽  
Carbon Nanoparticles ◽  
Tumor Targeting ◽  
Polymeric Nanoparticles ◽  
Inorganic Nanoparticles ◽  
Active Targeting ◽  
Cancer Diagnosis And Therapy

Combination of nanotechnology, biochemistry, chemistry and biotechnology provides the opportunity to design unique nanoparticles for tumor targeting, drug delivery, medical imaging and biosensing. Nanoparticles conjugated with biomolecules such as antibodies, peptides, vitamins and aptamer can resolve current challenges including low accumulation, internalization and retention at the target site in cancer diagnosis and therapy through active targeting. In this review, we focus on different strategies for conjugation of biomolecules to nanoparticles such as inorganic nanoparticles (iron oxide, gold, silica and carbon nanoparticles), liposomes, lipid and polymeric nanoparticles and their application in tumor targeting.

Optimal Model-Free Approach Based on MDL and CHL for Active Brain Identification in fMRI Data Analysis

2020 ◽  
Vol 16 ◽  
Author(s):  
Hussain A. Jaber ◽  
Ilyas Çankaya ◽  
Hadeel K. Aljobouri ◽  
Orhan M. Koçak ◽  
Oktay Algin
Keyword(s):  
Data Analysis ◽  
Time Course ◽  
Extreme Values ◽  
Statistical Parametric Mapping ◽  
Fmri Data ◽  
Cluster Center ◽  
Jaccard Coefficient ◽  
Neural Gas ◽  
Model Free ◽  
Clustering Approach

Background: Cluster analysis is a robust tool for exploring the underlining structures in data and grouping them with similar objects. In the researches of Functional Magnetic Resonance Imaging (fMRI), clustering approaches attempt to classify voxels depending on their time-course signals into a similar hemodynamic response over time. Objective: In this work, a novel unsupervised learning approach is proposed that relies on using Enhanced Neural Gas (ENG) algorithm in fMRI data for comparison with Neural Gas (NG) method, which has yet to be utilized for that aim. The ENG algorithm depends on the network structure of the NG and concentrates on an efficacious prototype-based clustering approach. Methods: The comparison outcomes on real auditory fMRI data show that ENG outperforms the NG and statistical parametric mapping (SPM) methods due to its insensitivity to the ordering of input data sequence, various initializations for selecting a set of neurons, and the existence of extreme values (outliers). The findings also prove its capability to discover the exact and real values of a cluster number effectively. Results: Four validation indices are applied to evaluate the performance of the proposed ENG method with fMRI and compare it with a clustering approach (NG algorithm) and model-based data analysis (SPM). These validation indices include the Jaccard Coefficient (JC), Receiver Operating Characteristic (ROC), Minimum Description Length (MDL) value, and Minimum Square Error (MSE). Conclusion: The ENG technique can tackle all shortcomings of NG application with fMRI data, identify the active area of the human brain effectively, and determine the locations of the cluster center based on the MDL value during the process of network learning.

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