Phytochemicals in the Prevention and Cure of Cancers

2020 ◽  
pp. 351-373
Author(s):  
Nilesh Shirish Wagh ◽  
Sandeep Ramchandra Pai ◽  
Varsha Vasantrao Sonkamble
Keyword(s):  
Prevention And Cure

Traditional, Pharmacological and Patenting Potential of Neem (Azadirachta indica): A Review

2017 ◽  
Vol 3 (4) ◽  
pp. 383-391
Author(s):  
Mohd Asif Khan ◽  
Shashi Bhooshan Tiwari ◽  
Himanshu Gupta ◽  
Huma Noor
Keyword(s):  
Azadirachta Indica ◽  
Indian Subcontinent ◽  
National Academy Of Sciences ◽  
Neem Tree ◽  
Commercial Plant ◽  
Pharmacological Potential ◽  
Pharmacologically Active ◽  
In The Beginning ◽  
Prevention And Cure ◽  
Academy Of Sciences

Since ancient time, herbal drugs were highly used in the prevention and cure of various human illnesses. In India, Azadirachta indica being commonly known as Neem or Margosa is one of the multi-functional trees; belonging to Meliaceae family. In 1992, the US National Academy of Sciences was published a report entitled ‘Neem- a tree for solving global problems’. It is still considered as ‘village dispensary’ throughout the India. There are two species of Azadirachta which have been investigated; Azadirachta indica that is found in the Indian subcontinent and Azadirachta excelsa Kack that is homegrown to Indonesia and Philippines. A large number of pharmacologically active substances have been identified and isolated from the different parts of neem including azadirachtin, meliacin, gedunin, salanin, nimbin, valassin and various other components which are derived from these main compounds. Many different studies have been evaluated and authenticated for its various traditional and pharmacological activities like itching, leprosy, wound healing, spermicidal, anti-inflammatory, insecticidal, antidiabetic and analgesic etc. In the beginning of 1979, patenting on neem was started by CSIR to separate the active compounds from neem oil. Its great implantation fights with soil erosion, global warming, deforestations and desertification world-wide. In 2002, World Neem Conference raised the neem tree as an industrial or commercial plant. This review is going to explore comprehensively; traditional, pharmacological potential along with patenting, environmental & industrial significant of various parts of neem tree with safety concerns.

Credibility Trap: Japan today and China tomorrow

2006 ◽  
Vol 25 (1) ◽  
pp. 31-50
Author(s):  
Kensei Hiwaki ◽  
Junie Tong
Keyword(s):  
Human Development ◽  
Present Article ◽  
Socioeconomic Development ◽  
Sufficient Conditions ◽  
Theoretical Framework ◽  
Normative Framework ◽  
Specific Culture ◽  
Prevention And Cure ◽  
Necessary And Sufficient

This article provides a theoretical framework for a long-term socioeconomic lethargy (Credibility Trap) that results from the liquidation of holistic society-specific culture. As for example, it deals with the cases of Japan today and China tomorrow, elaborating on the slight of their respective society-specific cultures in a century-long process of “modernization”. The present theoretical framework primarily consists of three pivotal concepts, viz., Credibility Trap, society-specific cultures (Cultures) and market fundamentalism (Market), which facilitates a clear, concise and effective argument that the liquidation of their respective holistic Cultures may intimately relate to their actual and potential socioeconomic lethargy. Also, the present article concentrates on the elaboration of some promising avenues for prevention and cure of Credibility Trap. Such avenues comprise the necessary and sufficient conditions for a balanced socioeconomic development; a theoretical framework for a perpetual “virtuous” circle among cultural enrichment, comprehensive human development and balanced socioeconomic development; and a normative framework of multi-faceted value enhancement for vitality augmentation and cultural enrichment within a society.

scholarly journals Adversarial Unsupervised Representation Learning for Activity Time-Series

2019 ◽  
Vol 33 ◽  
pp. 834-841 ◽  
Author(s):  
Karan Aggarwal ◽  
Shafiq Joty ◽  
Luis Fernandez-Luque ◽  
Jaideep Srivastava
Keyword(s):  
Time Series ◽  
Chronic Conditions ◽  
Empirical Evaluation ◽  
Representation Learning ◽  
Time Segment ◽  
Linear Classifiers ◽  
Daily Routines ◽  
Learning Technique ◽  
Prevention And Cure ◽  
Better Than

Sufficient physical activity and restful sleep play a major role in the prevention and cure of many chronic conditions. Being able to proactively screen and monitor such chronic conditions would be a big step forward for overall health. The rapid increase in the popularity of wearable devices pro-vides a significant new source, making it possible to track the user’s lifestyle real-time. In this paper, we propose a novel unsupervised representation learning technique called activ-ity2vecthat learns and “summarizes” the discrete-valued ac-tivity time-series. It learns the representations with three com-ponents: (i) the co-occurrence and magnitude of the activ-ity levels in a time-segment, (ii) neighboring context of the time-segment, and (iii) promoting subject-invariance with ad-versarial training. We evaluate our method on four disorder prediction tasks using linear classifiers. Empirical evaluation demonstrates that our proposed method scales and performs better than many strong baselines. The adversarial regime helps improve the generalizability of our representations by promoting subject invariant features. We also show that using the representations at the level of a day works the best since human activity is structured in terms of daily routines.

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