The Future Blood Supply System: A Prognosis

1984 ◽  
Vol 15 (10) ◽  
pp. 679-682 ◽  
Author(s):  
Frans Peetoom ◽  
Suzanne M. Gaynor
2018 ◽  
Vol 23 (3) ◽  
pp. 709-725 ◽  
Author(s):  
Laurent Vandepaer ◽  
Julie Cloutier ◽  
Christian Bauer ◽  
Ben Amor

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3305
Author(s):  
Katarzyna Pietrucha-Urbanik ◽  
Barbara Tchórzewska-Cieślak ◽  
Mohamed Eid

Initiated by a case study to assess the effectiveness of the modernisation actions undertaken in a water supply system, some R&D activities were conducted to construct a global predictive model, based on the available operational failure and recovery data. The available operational data, regarding the water supply system, are the pipes’ diameter, failure modes, materials, functional conditions, seasonality, and the number of failures and time-to-recover intervals. The operational data are provided by the water company responsible of the supply system. A predictive global model is proposed based on the output of the operational data statistical assessment. It should assess the expected effectiveness of decisions taken in support of the modernisation and the extension plan.


2013 ◽  
Vol 302 ◽  
pp. 787-791
Author(s):  
Lu Zhao ◽  
Rong Rong Yang ◽  
Meng Zhai ◽  
Feng Ming Liu

Delivering recommendation services are the trend of the future, so Recommender System varied very vital and widely applied in e-commerce websites to help customers in finding the items they want. A recommender system should be able to provide users with useful information about the items that might be interesting to them. The ability of immediately responding to changes in users preferences is a valuable asset for such systems. In recommender system, a variety of methods have been emerged as the basis for recommender. However, existing recommendation methods have the limitation. To overcome this limitation, we will propose new recommender system by combining the existing techniques. So, we firstly give an overview of recommender system for the future researches.


2000 ◽  
Vol 09 (02) ◽  
pp. 265-276 ◽  
Author(s):  
E. A. YFANTIS ◽  
T. LAZARAKIS ◽  
G. BEBIS ◽  
G. M. GALLITANO

An algorithm of cancer recognition of ultrasound images is developed in this paper. As we pointed out in our previous work, in order for cancer to survive it develops its own blood supply system, which is different than the supply system of normal tissue. The velocity of the blood flowing through the cancerous blood vessels is different than the velocity of the blood flowing through blood vessels of normal tissue. Due to this fact the ultrasound signal is absorbed differently in the cancerous areas than in the normal tissue areas. The energy of the signal, the continuity of the signal, the autocorrelation function and frequency domain properties are different in the normal tissue than in cancerous tissue. All of these indicators are weighted here for the purpose of classifying the image of the tissue as being cancerous or non cancerous. Preliminary results based on limited number of ultrasound images show that our method has the ability to recognize cancer in ultrasound images.


2020 ◽  
Vol 16 (1) ◽  
pp. 109-122
Author(s):  
Alexandr I. Subetto

The Object of the Study. Middle classes in the logic of the historical process in the 20th century. The Subject of the Study. Production relations that determine the fate of the middle classes in capitalist and noosphere - socialist societies. The Purpose of the Study. Development of methodological grounds for predictive research on the problem of the historical fate of the middle classes. The Main Provisions of the Study. The author reveals a theoretical system-a concept that determines the future of the middle classes in Russia and in the world, taking into account the era of the Great Evolutionary Change. The scientific and philosophical essay is a kind of theoretical reflection on the problems and assessments that are set and disclosed in the monograph "Middle Classes in Capitalist Russia".


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