Comperehencive review of Tankana

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Dr. Jyotsna Sankpal ◽  
Dr. Jyotsna Takalikar
Keyword(s):  
Heart Disease ◽  
Medical Science ◽  
Menstrual Disorders ◽  
Therapeutic Applications ◽  
Indian Medical ◽  
Wide Range ◽  
Long Time

Rasa Shastra and Bhaishajya Kalpana is branch of the ancient Indian medical science based on herbs and herbo-mineral preparation. Tankana has been described under Uparasa Tankana, which is one among the Kshara Trayas has been used since very long time in Ayurveda. It has a wide range of therapeutic applications, including diseases like Varna (ulcers), Shvasa (asthma), Kasa (cough), Hrudya (beneficial to heart disease), Streepushpajanana (menstrual disorders) etc. It is used in the form of compound formulations like Parpati, Kupipakwa, Khalvee Rasayana, Churna, Vati, Lepa etc. In this paper Tankana Shodhana procedure, different synonyms, dose, Anupana, indications and different formulations containing Tankana Bhasma has been discussed.

scholarly journals Doctor Chatbot – Smart Health Prediction

2021 ◽  
pp. 751-756
Author(s):  
Seema J ◽  
Suman S ◽  
Chirag S R ◽  
Vinay G ◽  
Balakrishna D
Keyword(s):  
Heart Disease ◽  
Life Style ◽  
Heart Attacks ◽  
Number Of Patients ◽  
Wide Range ◽  
Long Time ◽  
Smart Health ◽  
Self Service ◽  
Factual Data ◽  
Constant Support

As in today’s world, the number of patients on usual is increasing apace with the amendment in life-style. Queues in hospitals and native doctor's residences are rapidly Increasing. Patients with hectic schedules must spend a significant amount of time waiting to meet the doctor. It takes a long time to heal certain diseases. Heart disease could be a quite common problem worldwide. Many people, both young and old, suffer and die from heart attacks every day. Chatbots will perform tasks such as reducing agent transfers, resolving issues more quickly, improving self-service, and so on. They need constant support to discuss their issues with and to provide them with factual data. This paper introduces a possible solution to provide them with what they're seeking for a chatbot. The projected chatbot would be a heart disease Predictor which is designed for individuals managing any kind of symptoms that connect to the heart. The bot is trained by data collected from numerous Heart Disease-related forums that have a good and wide range of knowledge regarding the heart.

Heparin and proteoglycans as anti-inflammatory drugs

1996 ◽  
Vol 16 (01) ◽  
pp. 56-59
Author(s):  
D. J. Tyrrell ◽  
C. P. Page
Keyword(s):  
Inflammatory Diseases ◽  
Therapeutic Applications ◽  
Wide Range ◽  
Inflammatory Drugs ◽  
Anti Inflammatory

SummaryEvidence continues to accumulate that the pleiotropic nature of heparin (beyond its anticoagulant potency) includes anti-inflammatory activities at a number of levels. It is clear that drugs exploiting these anti-inflammatory activities of heparin may offer exciting new therapeutic applications to the treatment of a wide range of inflammatory diseases.

The Problem of Identifying and Modeling the Relationship between Monetary Factor and Inflation in the Russian Economy

2008 ◽  
pp. 61-76
Author(s):  
A. Porshakov ◽  
A. Ponomarenko
Keyword(s):  
Money Supply ◽  
Money Demand ◽  
Russian Economy ◽  
Long Run ◽  
Complex Approach ◽  
Wide Range ◽  
Long Time ◽  
The Relationship ◽  
Supply Side Factors

The role of monetary factor in generating inflationary processes in Russia has stimulated various debates in social and scientific circles for a relatively long time. The authors show that identification of the specificity of relationship between money and inflation requires a complex approach based on statistical modeling and involving a wide range of indicators relevant for the price changes in the economy. As a result a model of inflation for Russia implying the decomposition of inflation dynamics into demand-side and supply-side factors is suggested. The main conclusion drawn is that during the recent years the volume of inflationary pressures in the Russian economy has been determined by the deviation of money supply from money demand, rather than by money supply alone. At the same time, monetary factor has a long-run spread over time impact on inflation.

scholarly journals Physical Properties of Thermoplastic Starch Derived from Natural Resources and Its Blends: A Review

Polymers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1396
Author(s):  
Z. N. Diyana ◽  
R. Jumaidin ◽  
Mohd Zulkefli Selamat ◽  
Ihwan Ghazali ◽  
Norliza Julmohammad ◽  
...  
Keyword(s):  
Thermoplastic Starch ◽  
Natural Fibre ◽  
Polymer Materials ◽  
Secondary Pollution ◽  
Wide Range ◽  
Potential Applications ◽  
Long Time ◽  
To Come ◽  
Main Component ◽  
Significant Attention

Thermoplastic starch composites have attracted significant attention due to the rise of environmental pollutions induced by the use of synthetic petroleum-based polymer materials. The degradation of traditional plastics requires an unusually long time, which may lead to high cost and secondary pollution. To solve these difficulties, more petroleum-based plastics should be substituted with sustainable bio-based plastics. Renewable and natural materials that are abundant in nature are potential candidates for a wide range of polymers, which can be used to replace their synthetic counterparts. This paper focuses on some aspects of biopolymers and their classes, providing a description of starch as a main component of biopolymers, composites, and potential applications of thermoplastics starch-based in packaging application. Currently, biopolymer composites blended with other components have exhibited several enhanced qualities. The same behavior is also observed when natural fibre is incorporated with biopolymers. However, it should be noted that the degree of compatibility between starch and other biopolymers extensively varies depending on the specific biopolymer. Although their efficacy is yet to reach the level of their fossil fuel counterparts, biopolymers have made a distinguishing mark, which will continue to inspire the creation of novel substances for many years to come.

scholarly journals ETHNOBOTANICAL, PHYTOCHEMICAL, AND PHARMACOLOGICAL PROPERTIES OF NEPENTHES SPECIES: A REVIEW

2017 ◽  
Vol 10 (11) ◽  
pp. 16 ◽  
Author(s):  
Shuaibu Babaji Sanusi ◽  
Mohd Fadzelly Abu Bakar ◽  
Maryati Mohamed ◽  
Siti Fatimah Sabran ◽  
Muhammad Murtala Mainasara
Keyword(s):  
Folk Medicine ◽  
Therapeutic Agents ◽  
Bioactive Components ◽  
Pharmacological Activities ◽  
Crude Extracts ◽  
Gastrointestinal Discomfort ◽  
Wide Range ◽  
Long Time ◽  
Phytochemical Compounds ◽  
Ethnobotanical Uses

The genus Nepenthes (Nepenthaceae) has been utilized in folk medicine for a long time in India and Southeast Asia countries. They are used in the treatment of leprosy, cholera, night blindness, gastrointestinal discomfort, dysentery, stomachache, and bed-wetting among others. This review highlights the ethnobotanical uses, phytochemicals, and pharmacological activities of both crude extracts and pure bioactive compounds of Nepenthes spp. The phytochemical compounds isolated from Nepenthes species include flavonoids, terpenoids, tannins, alkaloids, and steroids among other phytochemicals. A wide range of pharmacological activities was exhibited by the crude extracts and pure bioactive components such as antibacterial, antifungal, antimalarial antioxidant, antidiabetic, antiosteoporotic, anti-inflammatory, cytotoxicity, and hypolipidemic activities. This review revealed that many active compounds are present in Nepenthes spp. However, many pharmacological screenings such as anticancer, antiviral, wound healing, antihelminthic, antidiarrheal properties, among others have not been carried out yet. Therefore, more biological investigations and phytochemical screenings are required to fully explore the genus Nepenthes which may lead to development of new therapeutic agents.  

scholarly journals Environmental Risk Factors and Congenital Heart Disease: An Umbrella Review of 165 Systematic Reviews and Meta-Analyses With More Than 120 Million Participants

2021 ◽  
Vol 8 ◽  
Author(s):  
Tie-Ning Zhang ◽  
Qi-Jun Wu ◽  
Ya-Shu Liu ◽  
Jia-Le Lv ◽  
Hui Sun ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Environmental Factors ◽  
Congenital Heart ◽  
Prediction Intervals ◽  
Umbrella Review ◽  
Wide Range ◽  
Null Value ◽  
Meta Analyses

Background: The etiology of congenital heart disease (CHD) has been extensively studied in the past decades. Therefore, it is critical to clarify clear hierarchies of evidence between types of environmental factors and CHD.Methods: Electronic searches in PubMed, Embase, Web of Science, Cochrane database were conducted from inception to April 20, 2020 for meta-analyses investigating the aforementioned topic.Results: Overall, 41 studies including a total of 165 meta-analyses of different environmental factors and CHD were examined, covering a wide range of risk factors. The summary random effects estimates were significant at P < 0.05 in 63 meta-analyses (38%), and 15 associations (9%) were significant at P < 10−6. Of these meta-analyses, eventually one risk factor (severe obesity; relative risk: 1.38, 95% confidence interval: 1.30–1.47) had significant summary associations at P < 10−6, included more than 1,000 cases, had 95% prediction intervals excluding the null value, and were not suggestive of large heterogeneity (I2 < 50%), small-study effects (P-value for Egger's test > 0.10), or excess significance (P > 0.10). Eight associations (5%) (including maternal lithium exposure, maternal obesity, maternal alcohol consumption, and maternal fever) had results that were significant at P < 10−6, included more than 1,000 cases, and had 95% prediction intervals excluding the null value (highly suggestive).Conclusion: This umbrella review shows that many environmental factors have substantial evidence in relation to the risk of developing CHD. More and better-designed studies are needed to establish robust evidence between environmental factors and CHD.Systematic Review Registration: [PROSPERO], identifier [CRD42020193381].

scholarly journals Automatic Design System with Generative Adversarial Network and Convolutional Neural Network for Optimization Design of Interior Permanent Magnet Synchronous Motor

2021 ◽  
Author(s):  
Yuki Shimizu ◽  
Shigeo Morimoto ◽  
Masayuki Sanada ◽  
Yukinori Inoue
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Convolutional Neural Network ◽  
Permanent Magnet ◽  
Optimization Design ◽  
Design System ◽  
Automatic Design ◽  
Wide Range ◽  
Interior Permanent Magnet ◽  
Long Time

The optimal design of interior permanent magnet synchronous motors requires a long time because finite element analysis (FEA) is performed repeatedly. To solve this problem, many researchers have used artificial intelligence to construct a prediction model that can replace FEA. However, because the training data are generated by FEA, it takes a very long time to obtain a sufficient amount of data, making it impossible to train a large-scale prediction model. Here, we propose a method for generating a large amount of data from a small number of FEA results using machine learning. An automatic design system with a deep generative model and a convolutional neural network is then constructed. With its sufficient data, the proposed system can handle three topologies and three motor parameters in a wide range of current vector regions. The proposed system was applied to multi-objective optimization design, with the optimization completed in 13-15 seconds.

scholarly journals The Case of Windy Lake by M. Hutchinson

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Kaia MacLeod
Keyword(s):  
Indigenous People ◽  
Large City ◽  
Historical Trauma ◽  
Critical Discussion ◽  
University Of Alberta ◽  
Wide Range ◽  
Long Time ◽  
To Come ◽  
Fitting In ◽  
The City

Hutchinson, Michael. The Case of Windy Lake. Second Story Press, 2019. Micheal Hutchinson is a citizen of the Misipawistik Cree Nation in the Treaty 5 territory and is no stranger to the Canadian media. He’s worked as a print reporter for The Calgary Straight and Aboriginal Times and became the host of APTN national news. Somehow in his busy life, he has found time to write two amazing children’s books. The Case of the Missing Auntie is Hutchinson’s second Mighty Muskrat Mystery book. It follows the cousins Chickadee, Otter, Samuel, and Atim (the Mighty Muskrats) of the Windy Lake First Nation. It takes place after the first book, but this time the Muskrats are leaving their reserve to spend time with family in the city. By setting the book in the city, the topic of urban Indigenous people arises. Hutchinson depicts a wide range of Indigenous people: nurses, students, musicians, and bullies. He doesn’t romanticize Indigenous people, opting to focus on realism and making the characters lifelike. The book makes sure to mention potential issues with moving/travelling from a reserve to a large city such as not fitting in and racism. The story has the same style as the previous Mighty Muskrat Mystery book with clear goals for the Muskrats to obtain: visit the Exhibition Fair, get Otter a ticket to see the band Wavoka’s Wail, and look for Auntie Charlotte who was taken during the 60’s scoop. One of the best parts is how realistic the story is, not everything goes the Mighty Muskrats way. This isn’t your typical “everything is going to work out just fine” story but that makes it a solid read—they need to come up with a plan B. It opens a dialogue on residential schools, the 60’s scoop, and the Truth and Reconciliation Commission. It felt like a good introduction to those tough topics, explaining what they are without dismissing them as something that happened a long time ago or minimizing their modern impacts. Instead, the story shows the aftermath, and how it affects the younger generation without limiting characters’ identities to only be their relationship to historical trauma. As such, this book could work as a discussion starter between children and adults on these topics and could be used to promote critical discussion around themes like Indigenous identities and experiences. Highly recommended: 4 out of 4 starsReviewer: Kaia MacLeod Reviewers BiographyKaia MacLeod, a member of the James Smith Cree Nation, is an MLIS candidate at the University of Alberta. Her bachelor’s degree was in Film Studies, which she sometimes likes to call a degree in “movie watching,” she enjoys exploring how folklore is represented on film and in online content.

scholarly journals Automatic Design System with Generative Adversarial Network and Convolutional Neural Network for Optimization Design of Interior Permanent Magnet Synchronous Motor

2021 ◽  
Author(s):  
Yuki Shimizu ◽  
Shigeo Morimoto ◽  
Masayuki Sanada ◽  
Yukinori Inoue
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Convolutional Neural Network ◽  
Permanent Magnet ◽  
Optimization Design ◽  
Design System ◽  
Automatic Design ◽  
Wide Range ◽  
Interior Permanent Magnet ◽  
Long Time

The optimal design of interior permanent magnet synchronous motors requires a long time because finite element analysis (FEA) is performed repeatedly. To solve this problem, many researchers have used artificial intelligence to construct a prediction model that can replace FEA. However, because the training data are generated by FEA, it takes a very long time to obtain a sufficient amount of data, making it impossible to train a large-scale prediction model. Here, we propose a method for generating a large amount of data from a small number of FEA results using machine learning. An automatic design system with a deep generative model and a convolutional neural network is then constructed. With its sufficient data, the proposed system can handle three topologies and three motor parameters in a wide range of current vector regions. The proposed system was applied to multi-objective optimization design, with the optimization completed in 13-15 seconds.

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