Use of cloud computing in biomedicine

Soběslav, Vladimír; Krejcar, Ondřej; França, Tanos C. C.; Kuča, Kamil

doi:10.1080/07391102.2015.1127182

Cited by 19 publications

(10 citation statements)

References 29 publications

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“…As the support of cell construction, it helps other important substances, such as magnesium, phosphorus, and calcium, of which 60% of the organosilicon in the body is used to synthesize 80 protein 81 . Biosilicone can be widely used in biomedicine, 82 advanced cosmetics, chemical industry, construction, electronics, 83 and other fields.…”

Section: Results and Analysismentioning

confidence: 99%

Constituent diversity of ethanol extracts from pitaya

Zhang

et al. 2020

Asia-Pacific J Chem Eng

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Pitaya is rich in nutrition and unique in function and contains vegetable albumin, anthocyanins, rich vitamins, and water soluble dietary fiber, which are rare in fruits and vegetables. However, researches mostly focused on pitaya cultivation, biological characteristics, fresh‐keeping, and lacked analyses about chemical composition of pitaya. Therefore, ethanol extraction and GC/MS were used to extract and identify the bioactive components in pulp and pericarp of red pitaya and white pitaya. The extracting results showed that percentages of ethanol extracts from pulp and pericarp of red pitaya were 14.5% and 12%, whereas those of white pitaya were 16% and 12%. The GC/MS results showed that different kinds of bioactive constituents were identified in fresh pericarp and pulp of red pitaya and white pitaya. In the four ethanol extracts, there are rich polysiloxane plant organosilicon with total contents of 10.09%, 24.21%, 25.77%, and 23.25%. Meanwhile, there are many heterocyclic substances, and the content of pericarp is much higher than that of pulp. The four ethanol extracts also contain some other bioactive ingredients, such as esters, hydrocarbons, alcohols, amides, halides, and fatty acids, which can be used as raw materials for biomedicine, advanced cosmetics, and skin care products.

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Section: Results and Analysismentioning

confidence: 99%

Constituent diversity of ethanol extracts from pitaya

Zhang

et al. 2020

Asia-Pacific J Chem Eng

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“…We have also seen the potentials of our approach, and we now intend to handle image extract flow and space-time instead of taking it during a time t in order to handle activities. We also intend to adjust our model and algorithm in a way based on our previous projects [49] so that they enable us to capture many activities in a more accurate manner.…”

Section: Discussionmentioning

confidence: 99%

Novel Cross-View Human Action Model Recognition Based on the Powerful View-Invariant Features Technique

et al. 2018

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One of the most important research topics nowadays is human action recognition, which is of significant interest to the computer vision and machine learning communities. Some of the factors that hamper it include changes in postures and shapes and the memory space and time required to gather, store, label, and process the pictures. During our research, we noted a considerable complexity to recognize human actions from different viewpoints, and this can be explained by the position and orientation of the viewer related to the position of the subject. We attempted to address this issue in this paper by learning different special view-invariant facets that are robust to view variations. Moreover, we focused on providing a solution to this challenge by exploring view-specific as well as view-shared facets utilizing a novel deep model called the sample-affinity matrix (SAM). These models can accurately determine the similarities among samples of videos in diverse angles of the camera and enable us to precisely fine-tune transfer between various views and learn more detailed shared facets found in cross-view action identification. Additionally, we proposed a novel view-invariant facets algorithm that enabled us to better comprehend the internal processes of our project. Using a series of experiments applied on INRIA Xmas Motion Acquisition Sequences (IXMAS) and the Northwestern–UCLA Multi-view Action 3D (NUMA) datasets, we were able to show that our technique performs much better than state-of-the-art techniques.

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“…To determine the importance of the criteria for the selection of a method for assessing the benefi ts of knowledge management, the method of allocation of 100 points was chosen -the so-called Metfessel allocation. The actual calculation is implemented using MS Excel program for manual implementation of the scoring method and calculation tool Multi Criterion Analysis (MCA) Kosa for the method of linear partial utility functions (weighted sum), TOPSIS and ELECTRE I, AGREPREF, MAPPAC and PROMETHE (Maresova, 2016).…”

Section: Methodsmentioning

confidence: 99%

“…This fi eld has the subject of attention of many experts both on IT as well as on economy and management. Many studies dealing with the cost and savings related to cloud computing have been carried out (Kornevs et al, 2013;Özkir, 2012;Skilton, 2010;Freedson, 2011;Martens et al, 2012). For example, Jureta et al (2009) evaluate the quality of cloud computing service from a customer's viewpoint.…”

Section: Introductionmentioning

confidence: 99%

Effective evaluation of cloud computing investment – application of cost benefit method analysis

Soběslav¹

2017

E+M

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Use of cloud computing in biomedicine

Cited by 19 publications

References 29 publications

Constituent diversity of ethanol extracts from pitaya

Constituent diversity of ethanol extracts from pitaya

Novel Cross-View Human Action Model Recognition Based on the Powerful View-Invariant Features Technique

Effective evaluation of cloud computing investment – application of cost benefit method analysis

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