OPTIMIZATION OF DISPERSANT APPLICATION, ESPECIALLY BY SHIP

1989 ◽  
Vol 1989 (1) ◽  
pp. 337-342
Author(s):  
François Merlin ◽  
Christian Bocard ◽  
Gilles Castaing
Keyword(s):  
Flow Rate ◽  
Laboratory Tests ◽  
State Of The Art ◽  
Sea Surface ◽  
Key Factors ◽  
Treatment Procedure ◽  
Low Efficiency ◽  
High Level ◽  
Meso Scale ◽  
Oil Thickness

ABSTRACT A lot of information has been made available for 10 years on the use of dispersants through offshore and meso-scale trials. A state-of-the-art review shows that among the key factors that have been identified, the contact between dispersant and oil is of utmost importance. A better knowledge of this parameter should be taken into account in defining operational procedures, especially when applying dispersants by ship, which is considered to be complementary to aerial spraying. Upon request of the French Navy, a series of meso-scale trials was carried out off Brittany in June 1987, according to the methodology previously used in 1984. Three dispersants were sprayed from a boat. It was concluded that a high level of energy at the sea surface mitigates discrepancies in dispersants’ efficiencies as measured in laboratory tests. Better results were obtained in the case of relatively thick oil slicks. The low efficiency that was measured when treating downwind was attributed to the already-observed herding effect. These complementary results reinforce the actions that have been recently developed to optimize dispersant application by ship:Shipboard equipment for neat dispersant spraying is described. Its main feature is an original nozzle assembly that allows the dispersant to be applied effectively onto the oil at a flow rate that can be widely and very quickly changed according to the estimated oil thickness.An operational treatment procedure is discussed, showing how to map, mark out, prospect and treat oil slicks according to the slick shape, estimated oil thickness, and wind direction.

Research on Agricultural Products Logistics Operational Pattern Based on Advanced IT Technology

2014 ◽  
Vol 543-547 ◽  
pp. 4392-4395
Author(s):  
Chuan Zhao ◽  
Guo Ping Cheng
Keyword(s):  
Information Sharing ◽  
Information Dissemination ◽  
Strategic Alliance ◽  
Key Factors ◽  
Analysis And Evaluation ◽  
Level Information ◽  
Low Efficiency ◽  
Founding Principle ◽  
High Level ◽  
Third Part Logistics

Agriculture is the founding principle for a country which has great significance with national interest and people's livelihood. Some logistics links are stumble on information dissemination and high cost which are also the key factors that restrict agriculture logistics development. Based on the comprehensively summarizing of logistics theories both at home and abroad, the paper analyzes the current condition of logistics and finds the problems, such as the low level of information sharing, cumbersome process, expensive cost, low efficiency and less sensitive reaction to market. Through the investigation of Third-Part Logistics (TPL), the paper proposes the agriculture service model with Advanced IT tech upon TPL. In the end, through analysis and evaluation on the model, the paper concludes its advantages, like perfect service functions, strategic alliance with customers, altogether shedding risks, big profit margins, and high level information sharing.

scholarly journals The State of the Art of Barriers to Exclusive Breastfeeding among Working Mothers in Developing Countries

2021 ◽  
Author(s):  
Linda Uloma Nwaodu
Keyword(s):  
Developing Countries ◽  
Caesarean Section ◽  
Exclusive Breastfeeding ◽  
Working Mothers ◽  
Infant Nutrition ◽  
State Of The Art ◽  
Qualitative Approach ◽  
Infant Food ◽  
Key Factors ◽  
High Level

According to the WHO, the global standard for infant nutrition is exclusive breastfeeding (EBF). However, the level of EBF has been identified to remain low in developing countries. This is quite ironical as one could expect that breastfeeding mothers in developing countries will find EBF attractive as a better alternative to infant food considering the high level of food insecurity in the region. Adopting a qualitative approach, this paper dived into the literature and identified key factors which act as impediments to EBF among working mothers in this region - insufficient breastfeeding breaks in the workplace, lack of breastfeeding spaces and short maternity leaves, birth by caesarean section, poor lactation, poor maternal health, and poor spousal and societal support.

scholarly journals The State of the Art of Barriers to Exclusive Breastfeeding among Working Mothers in Developing Countries

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Linda Uloma Nwaodu ◽  
Keyword(s):  
Developing Countries ◽  
Caesarean Section ◽  
Exclusive Breastfeeding ◽  
Working Mothers ◽  
Infant Nutrition ◽  
State Of The Art ◽  
Qualitative Approach ◽  
Infant Food ◽  
Key Factors ◽  
High Level

According to the WHO, the global standard for infant nutrition is exclusive breastfeeding (EBF). However, the level of EBF has been identified to remain low in developing countries. This is quite ironical as one could expect that breastfeeding mothers in developing countries will find EBF attractive as a better alternative to infant food considering the high level of food insecurity in the region. Adopting a qualitative approach, this paper dived into the literature and identified key factors which act as impediments to EBF among working mothers in this region - insufficient breastfeeding breaks in the workplace, lack of breastfeeding spaces and short maternity leaves, birth by caesarean section, poor lactation, poor maternal health, and poor spousal and societal support.

scholarly journals The State of the Art of Barriers to Exclusive Breastfeeding among Working Mothers in Developing Countries

2021 ◽  
Author(s):  
Linda Uloma Nwaodu
Keyword(s):  
Developing Countries ◽  
Caesarean Section ◽  
Exclusive Breastfeeding ◽  
Working Mothers ◽  
Infant Nutrition ◽  
State Of The Art ◽  
Qualitative Approach ◽  
Infant Food ◽  
Key Factors ◽  
High Level

According to the WHO, the global standard for infant nutrition is exclusive breastfeeding (EBF). However, the level of EBF has been identified to remain low in developing countries. This is quite ironical as one could expect that breastfeeding mothers in developing countries will find EBF attractive as a better alternative to infant food considering the high level of food insecurity in the region. Adopting a qualitative approach, this paper dived into the literature and identified key factors which act as impediments to EBF among working mothers in this region - insufficient breastfeeding breaks in the workplace, lack of breastfeeding spaces and short maternity leaves, birth by caesarean section, poor lactation, poor maternal health, and poor spousal and societal support.

scholarly journals Data Reduction in the String Space for Efficient kNN Classification Through Space Partitioning

2020 ◽  
Vol 10 (10) ◽  
pp. 3356 ◽  
Author(s):  
Jose J. Valero-Mas ◽  
Francisco J. Castellanos
Keyword(s):  
Data Reduction ◽  
Structural Data ◽  
Data Representation ◽  
Space Partitioning ◽  
Classification Rate ◽  
Symbolic Data ◽  
Knn Classifier ◽  
Initial Dataset ◽  
Low Efficiency ◽  
High Level

Within the Pattern Recognition field, two representations are generally considered for encoding the data: statistical codifications, which describe elements as feature vectors, and structural representations, which encode elements as high-level symbolic data structures such as strings, trees or graphs. While the vast majority of classifiers are capable of addressing statistical spaces, only some particular methods are suitable for structural representations. The kNN classifier constitutes one of the scarce examples of algorithms capable of tackling both statistical and structural spaces. This method is based on the computation of the dissimilarity between all the samples of the set, which is the main reason for its high versatility, but in turn, for its low efficiency as well. Prototype Generation is one of the possibilities for palliating this issue. These mechanisms generate a reduced version of the initial dataset by performing data transformation and aggregation processes on the initial collection. Nevertheless, these generation processes are quite dependent on the data representation considered, being not generally well defined for structural data. In this work we present the adaptation of the generation-based reduction algorithm Reduction through Homogeneous Clusters to the case of string data. This algorithm performs the reduction by partitioning the space into class-homogeneous clusters for then generating a representative prototype as the median value of each group. Thus, the main issue to tackle is the retrieval of the median element of a set of strings. Our comprehensive experimentation comparatively assesses the performance of this algorithm in both the statistical and the string-based spaces. Results prove the relevance of our approach by showing a competitive compromise between classification rate and data reduction.

scholarly journals Efficient End-to-End Sentence-Level Lipreading with Temporal Convolutional Networks

2021 ◽  
Vol 11 (15) ◽  
pp. 6975
Author(s):  
Tao Zhang ◽  
Lun He ◽  
Xudong Li ◽  
Guoqing Feng
Keyword(s):  
Performance Improvement ◽  
State Of The Art ◽  
Error Rates ◽  
Convolutional Network ◽  
Convolutional Networks ◽  
Sentence Level ◽  
End To End ◽  
High Level ◽  
Improved Accuracy ◽  
Talking Face

Lipreading aims to recognize sentences being spoken by a talking face. In recent years, the lipreading method has achieved a high level of accuracy on large datasets and made breakthrough progress. However, lipreading is still far from being solved, and existing methods tend to have high error rates on the wild data and have the defects of disappearing training gradient and slow convergence. To overcome these problems, we proposed an efficient end-to-end sentence-level lipreading model, using an encoder based on a 3D convolutional network, ResNet50, Temporal Convolutional Network (TCN), and a CTC objective function as the decoder. More importantly, the proposed architecture incorporates TCN as a feature learner to decode feature. It can partly eliminate the defects of RNN (LSTM, GRU) gradient disappearance and insufficient performance, and this yields notable performance improvement as well as faster convergence. Experiments show that the training and convergence speed are 50% faster than the state-of-the-art method, and improved accuracy by 2.4% on the GRID dataset.

scholarly journals Integrated Magnetohydrodynamic Pump with Magnetic Composite Substrate and Laser-Induced Graphene Electrodes

Polymers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1113
Author(s):  
Mohammed Asadullah Khan ◽  
Jürgen Kosel
Keyword(s):  
Magnetic Flux ◽  
Flow Rate ◽  
Magnetic Composite ◽  
Propulsive Force ◽  
Closed Channel ◽  
Lab On Chip ◽  
Composite Substrate ◽  
On Chip ◽  
High Level ◽  
Moving Parts

An integrated polymer-based magnetohydrodynamic (MHD) pump that can actuate saline fluids in closed-channel devices is presented. MHD pumps are attractive for lab-on-chip applications, due to their ability to provide high propulsive force without any moving parts. Unlike other MHD devices, a high level of integration is demonstrated by incorporating both laser-induced graphene (LIG) electrodes as well as a NdFeB magnetic-flux source in the NdFeB-polydimethylsiloxane permanent magnetic composite substrate. The effects of transferring the LIG film from polyimide to the magnetic composite substrate were studied. Operation of the integrated magneto hydrodynamic pump without disruptive bubbles was achieved. In the studied case, the pump produces a flow rate of 28.1 µL/min. while consuming ~1 mW power.

Caged-electron States and Split-electron States in Endohedral Alkali C60

2021 ◽  
Author(s):  
yifan yang ◽  
Lorenz S Cederbaum
Keyword(s):  
State Of The Art ◽  
Electronic States ◽  
Electron States ◽  
The Common ◽  
High Level

The low-lying electronic states of neutral X@C60(X=Li, Na, K, Rb) have been computed and analyzed by employing state-of-the-art high level many-electron methods. Apart from the common charge-separated states, well known...

scholarly journals France’s State of the Art Distributed Optical Fibre Sensors Qualified for the Monitoring of the French Underground Repository for High Level and Intermediate Level Long Lived Radioactive Wastes

Sensors ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1377 ◽  
Author(s):  
Sylvie Delepine-Lesoille ◽  
Sylvain Girard ◽  
Marcel Landolt ◽  
Johan Bertrand ◽  
Isabelle Planes ◽  
...  
Keyword(s):  
Optical Fibre ◽  
State Of The Art ◽  
Radioactive Wastes ◽  
Intermediate Level ◽  
Optical Fibre Sensors ◽  
High Level

On priority development of knowledge economy

2021 ◽  
pp. 15-22
Author(s):  
A.G. Aganbegyan ◽  
Keyword(s):  
Mortality Rate ◽  
Knowledge Economy ◽  
Federal Budget ◽  
The Public ◽  
National Economic ◽  
Working Age ◽  
Low Efficiency ◽  
Child Mortality Rate ◽  
Main Component ◽  
High Level

A.G. Aganbegyan considers the knowledge economy as the main component of human capital. He analyzes certain areas of the knowledge economy (R&D, healthcare and education) by comparing relevant results demonstrated by Russian regions with similar indices reported for other countries. The article points out positive and negative aspects, e.g. high level and quality of education v. low efficiency of its application; lower cancer mortality rate and particularly child mortality rate v. high mortality from cardiovascular disease among working-age population, etc. Major causes of negative phenomena include insufficient funding of the public sector and inefficient administration. In order to remedy the situation, the author recommends the development of a new federal budget, transition to national economic planning and adjustment of national projects.

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