scholarly journals ETIOLOGY OF HYPERTENSION WITH ITS MANAGEMENT: AN AYURVEDIC APPROACH AND MODERN APPROACH

2020 ◽  
Vol 21 (supplement 1) ◽  
Author(s):  
Kaur Amrinder ◽  
Monika Amrinder ◽  
Monika Amrinder
Keyword(s):  
Blood Pressure ◽  
Human Body ◽  
Modern Science ◽  
Lifestyle Changes ◽  
Daily Routine ◽  
Modern Approach ◽  
Different Types ◽  
Better Than

Ayurvedic science believes that prevention is better than cure. Various theories are proposed in Ayurveda as well as modern science regarding diseases, their symptoms and management. Modernization came up with various technologies which provides rest to human body. This luxury caused a lot of problems to the human body. Hypertension is one of the major problems. According to Ayurvedic perspective, Hypertension is a symptom which is caused due to the prasaravastha followed by sthanasamshraya of vitiated tridosha (morbid factor) wherever modern science revealed Hypertension as "silent killer" which can be caused by various factors like stress, hereditary and sometimes it's cause is unknown. Elevation in blood pressure is also named as uchharaktachaap (tachycardia) in Ayurvedic Science. The path of Hypertension is pointed out by RAAS system, samprapti (manifestation) and samprapti ghatakas (components of manifestation procurement factor disease). To prevent this disturbance, some lifestyle changes are required in daily routine life. Different types of Ayurvedic and modern therapies are provided to cure the particular problem.

CHALLENGES OF INTERPRETATION OF GENETIC TEST RESULTS ON THE EXAMPLE OF STUDY OF ENDURANCE

2020 ◽  
Vol 8 (1) ◽  
pp. 75-82
Author(s):  
Elmira Shamsuvaleeva ◽  
Anastasiya Nevmyvaka ◽  
Andrey Nazarenko
Keyword(s):  
Sport Activity ◽  
Computerized Testing ◽  
Daily Routine ◽  
Modern Approach ◽  
Functional Studies ◽  
Sport Training ◽  
Genetic Test Results ◽  
High Level ◽  
Biomedical Education ◽  
The Relationship

The purpose of the research is to study the possibility of predicting the development of aerobic endurance of athletes through a comparative analysis of the outcomes of genetic and computerized testing. Methods and organization of the research. In our research, we used scientific and methodological literature, as well as the outcomes of competitive activity and genetic analysis of a particular athlete. The total number of survey respondents was 158 people including athletes (n = 85) and coaches (n = 73). Results and discussion. Some authors find the relationship between the ability to develop and manifest endurance and the presence of the appropriate alleles of genes: ACE I, ACNT X, ACNT3 (RX, XX), ADRA2A, AMPDI C, PGC1A Gly, NFATC4, UCP2. Most studies reveal the relationship between the ACE gene and endurance supported by the I allele. Genetic foresight of the possibility of developing aerobic endurance of athletes can become the framework for the application of an individual approach in sport training, and contribute to the development of techniques aimed at the refinement of physical qualities. The modern approach to the coaching and competitive activities of athletes should include both genetic and functional studies of the human body. Conclusion. Sport forecast cannot be based solely on genetic testing results. The presence of polymorphisms in one or more genes associated with sport activity is the platform for good performance in a particular sport, but the actual manifestation of genetic predisposition depends on many factors. These factors include nutrition, daily routine and competent organization of the training process, which requires a high level of theoretical and practical competency of coaches in the field of biomedical education.

Eating Green: Shining Light on the Use of Dietary Phytochemicals as a Modern Approach in the Prevention and Treatment of Head and Neck Cancers

2018 ◽  
Vol 18 (3) ◽  
pp. 182-191 ◽  
Author(s):  
Linda L. Eastham ◽  
Candace M. Howard ◽  
Premalatha Balachandran ◽  
David S. Pasco ◽  
Pier Paolo Claudio
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Cancer Cell ◽  
Squamous Cell ◽  
Treatment Strategies ◽  
Lifestyle Changes ◽  
Neck Squamous Cell Carcinoma ◽  
Laboratory Research ◽  
Modern Approach

Enthusiasm for the use of dietary bioactive compounds as chemopreventive agents and adjuvants for current therapies has increased laboratory research conducted on several types of cancers including Head and Neck Squamous Cell Carcinoma (HNSCC). The green chemoprevention movement is a modern approach to highlight healthy lifestyle changes that aim to decrease the incidence of HNSCC. A healthy diet can be an effective way to prevent the development of oral cancers. Discovery of the naturally occurring plant based compounds called phytochemicals has facilitated the development of new treatment strategies for patients that are at risk for, or have developed HNSCC. Many of these compounds have been shown to elicit very potent anti-carcinogenic properties. While there are many compounds that have been studied, the compounds from two specific categories of phytochemicals, phenolics (resveratrol, EGCG, curcumin, quercetin, and honokiol) and glucosinolates (sulforaphane, PEITC and BITC), are emerging as potent and effective inhibitors of oral carcinogenesis. These compounds have been shown to inhibit HNSCC growth through a variety of mechanisms. Research has demonstrated that these compounds can regulate cancer cell proliferation through the regulation of multiple cell signaling pathways. They can impede cell cycle progression, induce differentiation and apoptosis, prevent angiogenesis, and inhibit cancer cell invasive and metastatic properties. They can protect normal cells during treatment and reduce the damage caused by chemotherapy and radiotherapy. This review aims to provide an overview of some of the most effective phytochemicals that have the potential to successfully prevent and treat head and neck squamous cell carcinoma.

Design, Development and Comparison of Heuristic Driven Algorithms Based on the Crossed Domain Products’ Reviews for User’s Summarization

2020 ◽  
Vol 13 (5) ◽  
pp. 884-892
Author(s):  
Sartaj Ahmad ◽  
Ashutosh Gupta ◽  
Neeraj Kumar Gupta
Keyword(s):  
Decision Making ◽  
Online Shopping ◽  
Recent Time ◽  
Design Development ◽  
Different Types ◽  
Feature Based ◽  
Use Of Internet ◽  
Day By Day ◽  
Better Than

Background: In recent time, people love online shopping but before any shopping feedbacks or reviews always required. These feedbacks help customers in decision making for buying any product or availing any service. In the country like India this trend of online shopping is increasing very rapidly because awareness and the use of internet which is increasing day by day. As result numbers of customers and their feedbacks are also increasing. It is creating a problem that how to read all reviews manually. So there should be some computerized mechanism that provides customers a summary without spending time in reading feedbacks. Besides big number of reviews another problem is that reviews are not structured. Objective: In this paper, we try to design, implement and compare two algorithms with manual approach for the crossed domain Product’s reviews. Methods: Lexicon based model is used and different types of reviews are tested and analyzed to check the performance of these algorithms. Results: Algorithm based on opinions and feature based opinions are designed, implemented, applied and compared with the manual results and it is found that algorithm # 2 is performing better than algorithm # 1 and near to manual results. Conclusion: Algorithm # 2 is found better on the different product’s reviews and still to be applied on other product’s reviews to enhance its scope. Finally, it will be helpful to automate existing manual process.

Role of Panchakarma in management of Gridhrasi

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Imlikumba . ◽  
Parappagoudra Mahesh ◽  
BA Lohith ◽  
K Singha ◽  
S Lalravi
Keyword(s):  
Modern Science ◽  
Stressful Life ◽  
Low Back ◽  
Lateral Aspect ◽  
Effective Measure ◽  
Main Complaint ◽  
Different Types ◽  
Back Ache ◽  
Different Dimensions

Panchakarma is a fruitful measure and its extensive efficacies are classified in different dimensions to cure different types of complicated diseases. Vamana, Virechana, Niruha, Anuvasana and Nasya are the five procedures and subsequently even Vamana, Virechana, Basti, Nasya and Rakta Mokshana are broadly termed as Panchakarma in day to day practices.The new diseases are evolving with intense gravity and therefore to combat those, Panchakarma is a very effective measure. In present era competition and advancement have led to hectic and stressful life, man has eventually forgotten the absolute enjoyment and solitary affection of nature and as a result is facing many health problems. Gridhrasi is no exception, it is correlated to sciatica in modern science where low back ache radiating to toes in the lateral aspect of the thigh associated with stiffness is the main complaint.

scholarly journals Physiological and Psychological Effects of Watching Videos of Different Durations Showing Urban Bamboo Forests with Varied Structures

2020 ◽  
Vol 17 (10) ◽  
pp. 3434
Author(s):  
Yuqian Wang ◽  
Mingyan Jiang ◽  
Yinshu Huang ◽  
Zhiyi Sheng ◽  
Xiao Huang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Skin Conductance ◽  
Human Body ◽  
Stable State ◽  
Mean Value ◽  
Psychological Effects ◽  
Physiological Indicators ◽  
Psychological Indicators ◽  
Before And After ◽  
Long Time

This study illustrated the physiological and psychological effects of watching videos of different durations showing bamboo forests with varied structures. Physiological indicators, including EEG (electroencephalogram), blood pressure, skin conductance, and pulse, were monitored in 180 Chinese university students (mean age: 20.72 ± 2.56 years) while they were watching bamboo videos. Before and after watching the videos, their psychological indicators, including positive and negative moods, were measured using the Profile of Mood States questionnaire. After watching the bamboo videos of different durations, all of the physiological indicators responded to the stimulation after only 1 min. The indicators showed different trends at 1, 3 and 5 min. EEG decreased and then was maintained at a stable level after 1 min, and the high β, low β, and α waves had no significant differences between 1, 3 and 5 min. Blood pressure dropped to a stable state after 3 min, and the decline was significantly different greater after 3 min than after 1 min. Skin conductance increased for 1 to 5 min, and it did not stabilize after a long time (5 min). Pulse decreased after 1 min but increased after 5 min. After watching the videos with bamboo of varying structures, the physiological and psychological indicators showed significantly different changes. Skin conductance significantly increased (mean value: 6.78%), and the amount of sweat was more effectively reduced, thereby reducing tension, when the students viewed videos of sympodial bamboo forests compared with monopodial bamboo forests. Bamboo forests with a higher canopy density (0.83–0.85) could significantly decrease α waves (mean value: 1.50 Hz), relaxing the human body. High β and low β waves showed greater decreases, with tension reduced more effectively, when bamboo forests with a low tilt ratio (< 1.5%) were viewed. Bamboo forests with neat undergrowth could have more beneficial physiological and psychological effects on the human body.

scholarly journals Fighting Together against the Pandemic: Learning Multiple Models on Tomography Images for COVID-19 Diagnosis

AI ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 261-273
Author(s):  
Mario Manzo ◽  
Simone Pellino
Keyword(s):  
Network Architecture ◽  
State Of The Art ◽  
Ensemble Classification ◽  
Effective Vaccine ◽  
Rt Pcr ◽  
Neural Network Architecture ◽  
Experimental Phase ◽  
Different Types ◽  
Polymerase Chain ◽  
Better Than

COVID-19 has been a great challenge for humanity since the year 2020. The whole world has made a huge effort to find an effective vaccine in order to save those not yet infected. The alternative solution is early diagnosis, carried out through real-time polymerase chain reaction (RT-PCR) tests or thorax Computer Tomography (CT) scan images. Deep learning algorithms, specifically convolutional neural networks, represent a methodology for image analysis. They optimize the classification design task, which is essential for an automatic approach with different types of images, including medical. In this paper, we adopt a pretrained deep convolutional neural network architecture in order to diagnose COVID-19 disease from CT images. Our idea is inspired by what the whole of humanity is achieving, as the set of multiple contributions is better than any single one for the fight against the pandemic. First, we adapt, and subsequently retrain for our assumption, some neural architectures that have been adopted in other application domains. Secondly, we combine the knowledge extracted from images by the neural architectures in an ensemble classification context. Our experimental phase is performed on a CT image dataset, and the results obtained show the effectiveness of the proposed approach with respect to the state-of-the-art competitors.

scholarly journals Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 495
Author(s):  
Imayanmosha Wahlang ◽  
Arnab Kumar Maji ◽  
Goutam Saha ◽  
Prasun Chakrabarti ◽  
Michal Jasinski ◽  
...  
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Support Vector ◽  
Variational Autoencoder ◽  
Different Types ◽  
Static Images ◽  
Long Short Term Memory ◽  
2D And 3D ◽  
Better Than

This article experiments with deep learning methodologies in echocardiogram (echo), a promising and vigorously researched technique in the preponderance field. This paper involves two different kinds of classification in the echo. Firstly, classification into normal (absence of abnormalities) or abnormal (presence of abnormalities) has been done, using 2D echo images, 3D Doppler images, and videographic images. Secondly, based on different types of regurgitation, namely, Mitral Regurgitation (MR), Aortic Regurgitation (AR), Tricuspid Regurgitation (TR), and a combination of the three types of regurgitation are classified using videographic echo images. Two deep-learning methodologies are used for these purposes, a Recurrent Neural Network (RNN) based methodology (Long Short Term Memory (LSTM)) and an Autoencoder based methodology (Variational AutoEncoder (VAE)). The use of videographic images distinguished this work from the existing work using SVM (Support Vector Machine) and also application of deep-learning methodologies is the first of many in this particular field. It was found that deep-learning methodologies perform better than SVM methodology in normal or abnormal classification. Overall, VAE performs better in 2D and 3D Doppler images (static images) while LSTM performs better in the case of videographic images.

scholarly journals Screening for atrial fibrillation during automated blood pressure measurement among patients admitted to internal medicine ward

2021 ◽  
Author(s):  
Giacomo Pucci ◽  
Edoardo Santoni ◽  
Valeria Bisogni ◽  
Camilla Calandri ◽  
Alberto Cerasari ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Atrial Fibrillation ◽  
Blood Pressure ◽  
Adult Population ◽  
Blood Pressure Measurement ◽  
University Hospital ◽  
Daily Routine ◽  
Internal Medicine Ward ◽  
Clinical Conditions ◽  
Electrocardiogram Ecg

AbstractAtrial fibrillation (AF), the commonest sustained cardiac arrhythmia affecting the adult population, is often casually discovered among hospitalized people. AF onset is indeed triggered by several clinical conditions such as acute inflammatory states, infections, and electrolyte disturbance, frequently occurring during the hospitalization. We aimed to evaluate whether systematic AF screening, performed through an automated oscillometric blood pressure (BP) device (Microlife WatchBP Office AFIB, Microlife AG, Switzerland), is effective for detecting AF episodes in subjects admitted to an Internal Medicine ward. 163 patients consecutively hospitalized at the Unit of Internal Medicine of the “Santa Maria” Terni University Hospital between November 2019 and January 2020 (mean age ± standard deviation: 77 ± 14 years, men proportion: 40%) were examined. Simultaneously with BP measurement and AF screening, a standard 12-lead electrocardiogram (ECG) was performed in all subjects. AF was diagnosed by ECG in 29 patients (18%). AF screening showed overall 86% sensitivity and 96% specificity. False negatives (n = 4) had RR-interval coefficient of variation lower than true positives (n = 25, p < 0.01), suggesting a regular ventricular rhythm during AF. The repeated evaluation substantially confirmed the same level of agreement. AF screening was positive in all patients with new-onset AF (n = 6, 100%). Systematic AF screening in patients admitted to Internal Medicine wards, performed using the Microlife WatchBP Office AFIB, is feasible and effective. The opportunity to implement such technology in daily routine clinical practice to prevent undiagnosed AF episodes in hospitalized patients should be the subject of further research.

Yoga as a Preventive Health Care Program for White and Black Elders: An Exploratory Study

1983 ◽  
Vol 17 (3) ◽  
pp. 169-176 ◽  
Author(s):  
David Haber
Keyword(s):  
Blood Pressure ◽  
Low Income ◽  
Blood Pressure Level ◽  
Well Being ◽  
Daily Basis ◽  
Pressure Level ◽  
Control Group ◽  
Daily Routine ◽  
Psychological Well Being ◽  
Black Elders

A ten-week yoga program was implemented with sixty-one white and forty-five low-income black elders at two community sites, along with a pretest-posttest control group research design with random assignment at each site. White elders attended class regularly, practiced yoga on their own on a daily basis, improved psychological well-being, and lowered their systolic blood pressure level, in comparison to a control group. Black elders, on the other hand, attended the once-a-week class regularly but did not practice on their own on a daily basis. Thus, they did not improve psychological well-being nor reduce blood pressure level in comparison to a control group. Social analysts suggest that low-income minority elders need more frequent contact with structured leadership in order to adhere to a daily routine that may lead to psychological and physical change. Other directions for controlled follow-up studies are suggested.

Hemorheological disturbances, metabolic parameters and blood pressure in different types of obesity

1991 ◽  
Vol 88 (1) ◽  
pp. 21-28 ◽  
Author(s):  
M WYSOCKI ◽  
M KROTKIEWSKI ◽  
M BRAIDE ◽  
U BAGGE
Keyword(s):  
Blood Pressure ◽  
Metabolic Parameters ◽  
Different Types
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