Maximum intensity of fluorescence on the axis of a cylindrical vessel

1977 ◽  
Vol 20 (4) ◽  
pp. 548-551
Author(s):  
N. I. Nizhegorodov ◽  
A. Ya. Terletskii ◽  
V. F. Ignatov ◽  
V. V. Nikiforov
Keyword(s):  
Cylindrical Vessel ◽  
Maximum Intensity

693-P: Oxidative–Antioxidant Balance after Maximum Intensity Exercise in Men with Type 1 Diabetes Treated with a Personal Insulin Pump vs. Healthy Control

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 693-P
Author(s):  
BARTłOMIEJ MATEJKO ◽  
ŁUKASZ TOTA ◽  
MAłGORZATA MORAWSKA ◽  
SANDRA MROZINSKA ◽  
WANDA PILCH ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Insulin Pump ◽  
Maximum Intensity ◽  
Healthy Control

INTEGRATED ASSESSMENT OF STABILITY FUNCTIONING COMPLEX TECHNICAL SYSTEMS IN THE TECHNO AND INFO SPHERE

2018 ◽  
pp. 89-94
Author(s):  
V. A. Minaev ◽  
I. D. Korolev ◽  
V. V. Mukhortov
Keyword(s):  
Integrated Assessment ◽  
Noise Immunity ◽  
Maximum Intensity ◽  
Robotic Systems ◽  
Formal Definition ◽  
Protection Systems ◽  
Computer Attacks ◽  
Complex Technical Systems ◽  
Impact Protection ◽  
Technical Systems

The article deals with the issues of integrated assessment of complex technical systems stability functioning in techno sphere and info sphere. It is shown that the concept of cyber stability, including its components such as cyber reliability, noise immunity and cyber survivability are insufficiently investigated and defined. The formal definition is given and the scale with various gradation of cyber survivability is entered. On the example of robotic systems in form of drones two variants of mathematical models of cyber survivability estimation are considered. The first variant is related to the description of drones functioning in the conditions of computer attacks without impact protection systems. The second variant reflects the functioning of drones under the conditions of impacts in the presence of adaptive combined cybernetic protection system. In both variants, two strategies are considered - with minimal and maximum intensity of effects on the drone. It is concluded that proposed in the paper approach enables to evaluate the integrated stability of complex technical systems in the techno sphere and info sphere at the same time.

Analysis of experimental and simulation data for the liquid metal flow in a cylindrical vessel

2007 ◽  
Vol 43 (2) ◽  
pp. 161-172 ◽  
Author(s):  
M. Kirpo ◽  
A. Jakovičs ◽  
E. Baake ◽  
B. Nacke
Keyword(s):  
Liquid Metal ◽  
Metal Flow ◽  
Cylindrical Vessel ◽  
Simulation Data ◽  
Liquid Metal Flow

FOSSIL FUEL ENVIRONMENTAL CONTAMINATION: A STRATEGY USING RADIOCARBON, N-ALKANES, AND ALGAE

Radiocarbon ◽  
2021 ◽  
pp. 1-9
Author(s):  
Túlio César Aguiar Silva ◽  
Carla Carvalho ◽  
Bruno Libardoni ◽  
Kita Macario ◽  
Felippe Braga de Lima ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Environmental Contamination ◽  
Aquatic Ecosystems ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Maximum Intensity ◽  
Effective Technique ◽  
The World ◽  
Work Samples

ABSTRACT Fossil fuels are of utmost importance to the world we live in today. However, their use can cause major impacts on the environment, especially on water resources. In this regard, algae have been intensively used as a strategy for remediation and monitoring of environmental pollution due to its efficient absorption of contaminants. In this work, samples of seaweed collected in Niterói/RJ—contaminated with kerosene and diesel—were analyzed by radiocarbon (14C) accelerator mass spectrometry (AMS) and by n-alkane quantification with gas chromatography to evaluate bioaccumulation in function of the dosage of contaminants. The biogenic content measured by radiocarbon analysis resulted in 95.6% for algae contaminated with 10 mL of kerosene and 67.6% for algae contaminated with 10 mL of diesel. The maximum intensity of n-C17 n-alkane in algae with 5 mL, 10 mL, and 15 mL of diesel was 768.2, 1878.1, and 5699.2 ng.g-1, respectively. While the maximum concentration of n-C27 in algae with 5 mL, 10 mL and 15 mL of kerosene was 3.3, 35.9, and 150.3 ng.g-1. We concluded that, for both contaminants, their incorporation into algae increases as the contamination dosage increases, making this methodology an effective technique for monitoring and remediation of urban aquatic ecosystems.

scholarly journals Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 330
Author(s):  
Mio Adachi ◽  
Tomoyuki Fujioka ◽  
Mio Mori ◽  
Kazunori Kubota ◽  
Yuka Kikuchi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Magnetic Resonance ◽  
Diagnostic Performance ◽  
Maximum Intensity Projection ◽  
Breast Mri ◽  
Magnetic Resonance Images ◽  
Maximum Intensity ◽  
Validation Data ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

We aimed to evaluate an artificial intelligence (AI) system that can detect and diagnose lesions of maximum intensity projection (MIP) in dynamic contrast-enhanced (DCE) breast magnetic resonance imaging (MRI). We retrospectively gathered MIPs of DCE breast MRI for training and validation data from 30 and 7 normal individuals, 49 and 20 benign cases, and 135 and 45 malignant cases, respectively. Breast lesions were indicated with a bounding box and labeled as benign or malignant by a radiologist, while the AI system was trained to detect and calculate possibilities of malignancy using RetinaNet. The AI system was analyzed using test sets of 13 normal, 20 benign, and 52 malignant cases. Four human readers also scored these test data with and without the assistance of the AI system for the possibility of a malignancy in each breast. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were 0.926, 0.828, and 0.925 for the AI system; 0.847, 0.841, and 0.884 for human readers without AI; and 0.889, 0.823, and 0.899 for human readers with AI using a cutoff value of 2%, respectively. The AI system showed better diagnostic performance compared to the human readers (p = 0.002), and because of the increased performance of human readers with the assistance of the AI system, the AUC of human readers was significantly higher with than without the AI system (p = 0.039). Our AI system showed a high performance ability in detecting and diagnosing lesions in MIPs of DCE breast MRI and increased the diagnostic performance of human readers.

The effect of grass transpiration on the air temperature

Biologia ◽  
2014 ◽  
Vol 69 (11) ◽  
Author(s):  
Miloslav Šír ◽  
Miroslav Tesař ◽  
Ľubomír Lichner ◽  
Henryk Czachor
Keyword(s):  
Air Temperature ◽  
Root Zone ◽  
Sunshine Duration ◽  
Global Radiation ◽  
Maximum Intensity ◽  
Vegetative Cover ◽  
Brown Forest Soil ◽  
Large Area ◽  
Avenella Flexuosa ◽  
Daily Total

AbstractOscillations of the air temperature and tensiometric pressure of the soil water were measured in the experimental slope Tomšovka (Czech Republic, Jizera Mts, 822 m a.s.l.). The brown forest soil (Dystric Cambisols) is covered with Calamagrostis villosa, Avenella flexuosa and Vaccinium myrtilus. Thermometers were placed at a height of 5 and 200 cm above the grassland. The tensiometer was installed in the root zone of grass at a depth of 15 cm. Oscillations in a cloudless day, August 24, 2001, (sunshine duration 12.1 hour/day, daily total of global radiation 22.4 MJ/m2/day, maximum intensity of global radiation 1008 W/m2, transpiration 13.7 MJ/m2/day) were analysed in detail. The oscillations with a period of about 30 to 60 minutes were recorded in the air temperature course taken from 11 am to 5 pm. At the height of 200 cm oscillations ranged from 24 to 28°C. Concurrently, in the depth of 15 cm, the oscillations of tensiometric pressure in the range of −6 to −11 kPa were recorded from 8 am to 4 pm. It was concluded that the oscillations in the air temperature resulted from autonomous and self-regulated oscillations in the intensity of transpiration. It is evident that the 2-m air temperature was significantly influenced by transpiration of plants around the large area. The fact that the air temperature oscillated sharply confirms that the rate of transpiration was synchronized in this area. Vegetative cover thus created a self-regulated superorganism that substantially affected the temperature of the near-ground atmosphere layer.

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