A new approach to examining the extraction process of Zhishi and Zhiqiao considering the synergistic effect of complex mixtures by PAMPA

2018 ◽  
Vol 1099 ◽  
pp. 10-17 ◽  
Author(s):  
Hui Li ◽  
Honglian Zeng ◽  
Dan He ◽  
Menglei Wang ◽  
Linlin Liu ◽  
...  
Keyword(s):  
Synergistic Effect ◽  
Extraction Process ◽  
Complex Mixtures ◽  
New Approach

Phytoparmaceuticals and Its Applications in Therapy

2016 ◽  
pp. 202-228
Author(s):  
Alejandra Hernández-Ceruelos ◽  
Sergio Muñoz-Juarez ◽  
Patricia Vázquez-Alvarado
Keyword(s):  
Medicinal Plants ◽  
Plant Extracts ◽  
Medical Science ◽  
Well Being ◽  
Extraction Process ◽  
Complex Mixtures ◽  
Natural Origin ◽  
Medical Products ◽  
Pharmaceutical Form ◽  
Health Promoting

Medicinal plants have been used to treat illnesses since medicine began. Nowadays, 80% of the population in the planet uses drugs directly or indirectly derived from plants. In the past, natural products were used empirically; people experimented with them as helpful for their well-being and learned to treat ailments with specific plants. Henri Leclerc introduced the terminology of phytotherapy into medical science and this concept refers to study of the use of extracts of natural origin as medicines or health-promoting agents. Usually pharmacology isolates an active compound from a given plant, phytotherapy aims to reserve the complexity of constituents from a plant with moderately less processing. Phytopharmaceuticals (PP) are composed by one plant species or by complex mixtures of plants, presented in a natural or in a pharmaceutical form. The tendency is to use standardized plant extracts in the formulation, obtained by a patented extraction process. PP need to fulfill the same requirements as other medical products: safety, efficacy and consistent quality.

To improve the Recovery of an Arab Stemmer for Information Retrieval

2018 ◽  
Vol 10 (1) ◽  
pp. 25-33
Author(s):  
Khaireddine Bacha
Keyword(s):  
Information Retrieval ◽  
Error Rate ◽  
Automatic Processing ◽  
Arabic Language ◽  
Extraction Process ◽  
Finite State Automata ◽  
New Approach ◽  
Root Extraction ◽  
Finite State

The automatic processing of the Arabic language is a growing discipline, in which one sees more and more research and technologies to examine the specificities of this language and to propose tools necessary to the development of its automatic processing. The old techniques of rooting have limits that weaken the process of root extraction. In this article, the author proposes a new approach to rooting based on two finite state automata. The technique proposed is based on finite state automata in the root extraction process, with the aim of minimizing the error rate and ambiguity, usually due to the removal of the affixes. The author is currently focusing on the development and improvement of the rooting technique while trying to overcome the various problems encountered. The author is working on the compilation of a corpus of evaluation which will allow him to evaluate and compare their approach to others

Lanthanide-induced shift reagents enable the structural elucidation of natural products in inseparable complex mixtures – the case of elemenal from Inula helenium L. (Asteraceae)

RSC Advances ◽  
2015 ◽  
Vol 5 (89) ◽  
pp. 72670-72682 ◽  
Author(s):  
Marija S. Genčić ◽  
Niko S. Radulović
Keyword(s):  
Natural Products ◽  
Structural Elucidation ◽  
Complex Mixtures ◽  
New Approach ◽  
Inula Helenium ◽  
Shift Reagents

A new approach to the structural elucidation of constituent(s) of complex mixtures was developed based on the use of lanthanide-induced shift reagents. This methodology was successfully applied in the identification of a rare sesquiterpene elemenal.

Detect Tampered Image: A New Approach

2014 ◽  
Vol 687-691 ◽  
pp. 3869-3874
Author(s):  
Ting Wang
Keyword(s):  
Standard Deviation ◽  
High Standard ◽  
High Volume ◽  
Extraction Process ◽  
New Approach ◽  
Accurate Definition ◽  
Core Idea ◽  
Tampered Image ◽  
Definition Of ◽  
Localization Approach

Detecting tampered image is a challenging work due to the high volume of image database and the accurate definition of tampering. We propose a novel algorithm based on standard deviation which could detect the tampered automatically, furthermore, localization and extraction process is conducted to optimize the proposed method. Color reduction technique, intensity based method for edge detection and horizontal based localization approach are applied here to fulfill the algorithm. The core idea of the paper is that normally tampered regions process high standard deviation while compared with non-tampered areas. As the result, the output of our algorithm is tampered regions. By presenting promising experience, the performance of proposed method is analyzed. Further application and possible optimization are discussed.

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