Coconut Milk Benefit Human Body

The low calorie and high nutrition content of coconut milk products have increased their demand in the food and beverage industry. Coconut milk products such as coconut milk powder and coconut cream powder are used in various recipes because of their sweet and mild taste. Coconut milk products are often associated with various health benefits. Their consumption has been indicated to help lower blood pressure, cholesterol, improve kidney health, and prevent heart attacks and strokes. Coupled with this, consumer preferences for a vegetarian diet, has been increasing the adoption of coconut milk products. Coconut milk is a milky-white, opaque liquid made from the coconuts pulp. Coconut milk is a popular food ingredient used Southeast Asian, Oceania, South Asian, and East African cuisines. Coconut milk is used to produce a variety of popular Southeast Asian beverages. Condole is a common iced drink, made with chilled coconut milk. It also is used in preparation of various hot drinks in Indonesia. In southern China, coconut milk products are used to prepare beverages diluted with water. According to FMI's analysis, coconut milk products sales have grown at a 5.4% CAGR between 2016 and 2020. This trend also is picking up pace in India. Consumers in India are showing greater willingness to pay more for a product that has health benefits. This has been encouraging some of the leading players to produce organic, vegan, and gluten-free coconut milk View Article DOI: 10.47856/ijaast.2022.v09i05.00

NEED AND IMPORTANCE OF VYAYAMA IN PRESENT ERA: A CRITICAL REVIEW

Ayurveda dealing as a science of life speaks about physical, mental and social health. In Ayurvedic science Vyayama is included in daily regimen for the purpose of staying healthy. As per World Health Organization data, lack of physical activity is responsible for 6% deaths globally. Exercise helps in metabolism of free fatty acids and plays an important role to overcome obesity and obesity related disorders like type 2 diabetes and cardiac disease like CVD (cardiovascular disease) and many more other disorders like breast cancer, colon cancer, dementia and depression. In Ayurvedic aspect Vyayama stimulate Agni which prevents formation of Ama so it is helpful in prevention of many disorder. In this review it is described that Vyayama or physical activity is necessary for an individual in today’s life and Vyayama or physical activity works for staying healthy and longevity

Antioxidant Foods

Antioxidant is any substance that delays, prevents or removes oxidative damage to a target molecule. It can be found in many foods, including fruits and vegetables. The role of antioxidants in foods is to retard or control oxidation. The process of autoxidation and development of rancidity in foods involves a free radical chain mechanism via initiation, propagation and termination steps. While radicals are produced in the ‘initiation’ step, they react with unsaturated fatty acids by abstracting a hydrogen atom from a site which requires the least energy that is the allylic or diallylic position in the ‘propagation’ steps. The reactions in the propagation step make up a chain reaction until a ‘termination’ reaction occurs. Due to high stability and low volatility, it helps to maintain the level of nutrients, the texture, colour, taste, freshness, functionality, aroma, and appeal to consumers such as the older person. Various antioxidants found in food viz. natural antioxidants, synthetic antioxidants, dietary antioxidant, endogenous antioxidant play an important role in preservation of food. Vitamin C, Vitamin E, α-carotene, Lycopene, Polyphenol etc. is main sources of antioxidants The benefits of antioxidants include whole foods and beverages (e.g., acai berry, gogi berry, green tea) as well as isolated substances sold primarily as dietary supplements (e.g., vitamin C, lycopene, selenium) or added to foods (e.g., vitamin E). It reduces the risk of developing certain diseases such as; cancer, heart disease, stroke, and arthritis etc. View Article DOI: 10.47856/ijaast.2022.v09i04.00

Body image perception, eating attitude and influence of media among undergraduate students of medical college in Delhi: a cross sectional study

Background: Body image perception is being shaped by unrealistic ideals portrayed in the media. Body dissatisfaction is one of the most consistent and robust risk factors for eating disorders, low self-esteem, depression, and obesity. Therefore, the objective of the current study is to ascertain the body image perception, abnormal eating attitudes and the role of media among undergraduate students of a medical college in Delhi, India.Methods: Cross-sectional study on 370 undergraduate medical students of Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India selected using stratified random sampling. India. Students completed a self-administered questionnaire which consist of demographic information, perceived body image, Eating Attitudes test (EAT-26) to assess eating attitudes, Socio Cultural Attitude Towards Appearance Questionnaire 3(SATAQ-3) scale for the role of media on body image perception. Data was analyzed using SPSS v21.Results: A total of 370 students (57.6% males and 42.4% females) aged 17-30 years, mean age of 20.30 years±2.02(SD). Abnormal body image perception was seen in 35.4%, 21.1% had abnormal eating attitude (EAT-26≥20), 36.5%, 40.5% agreed to be influenced by models and athletic figures in media respectively, 42.2% accepted that media was their source of information regarding standards of attractiveness, 27.6% felt pressured to be attractive according to SATAQ-3. Males more than females had disordered eating attitudes and felt media pressure to achieve an ideal body image. Significant association was observed between age and perceived body image (p=0.033), gender and EAT-26 score (p=0.039), EAT 26 and perceived body image (p=0.006), general internalization of media and perceived body image (p=0.003), internalization-general, internalization-athlete, media as source of information and EAT-26 score (<0.001, 0.001, 0.003 respectively).Conclusions: The media should take more responsibility to not represent unrealistic ideals of body image concerning both males and females. Educational and preventive efforts at institutional levels should be made to promote a healthy body image and eating behaviours

Current status of immunoglobulin M seroprevalence in women with adverse reproductive outcomes in current pregnancy: experience in a teaching institution

Background: During pregnancy, the immune system is suppressed, making the individual susceptible to infections. One of the most common causes of perinatal mortality in developing countries is TORCH infections. Screening for TORCH agents during pregnancy identifies high risk mothers thereby providing the clinician with opportunity to intervene.Methods: A total of two hundred women with adverse pregnancy events in current pregnancy formed the study group while 150 women with normal pregnancy outcome formed control group. Presence of IgM antibodies against TORCH agents were detected by ELISA and results expressed qualitatively as positive or negative.Results: Our study revealed 45.56% women in current pregnancy were positive for IgM serology while in controls it was only 14.67 % (p value <0.0001). The percentage frequency of TORCH agents in terms of IgM seropositivity for toxoplasma was as 14.63%, 15.86% for rubella, 23.17% for CMV, 46.34% for HSV.Conclusions: It may not be possible to screen all patients with adverse reproductive outcome for TORCH but all women with adverse reproductive outcome in current pregnancy should be subjected to TORCH testing, especially to safeguard future pregnancies. The affected females should be counseled regarding continuation of pregnancy but remain under observation and treatment. Positive serology findings as supportive evidence to clinical diagnosis, if kept in consideration, may help manage future pregnancies more effectively

Spectroscopic analysis, first order hyperpolarizability, NBO, HOMO and LUMO analysis of 5-oxo-1-phenylpyrrolidine-3-carboxylic acid: Experimental and theoretical approach

5-oxo-1-phenylpyrrolidine-3-carboxylic acid has been synthesized and characterized by using single-crystal X-ray diffraction, FT-IR, 1HNMR, 13CNMR, UV-Visible spectroscopy and computational methods. The structure has been discussed and studied using density functional theory (DFT) at the theory level Becke3–Lee–Yang–Parr (B3LYP) functional and 6-31G (d, p) as basis set. The structural and thermodynamic parameters, electrostatic potential, electrophilicity (ω), chemical potential (µ), chemical hardness (η) and maximum amount of electronic charge transfer (∆Nmax) have been examined for this compound. Hyperconjugative interactions have been studied with the help of natural bond orbital analysis. Electric dipole moment, polarizability and first static hyperpolarizability values have been calculated. The correlation between experimental and theoretical proton and carbon NMR spectroscopic values has also been discussed. The experimental results are in good correlation with theoretical values

Assessment of groundwater quality status by using water quality index (WQI) and geographic information system (GIS) approaches: a case study of the Bokaro district, India

Abstract One hundred two groundwater samples were collected from the Bokaro district of Jharkhand state, India, during the pre-and post-monsoon seasons of the year 2014–2015. In the present study, groundwater samples were analysed for pH, TDS, TH, Ca2+, Mg2+, Na+, K+, Cl−, SO4 2−, HCO3 −, F− and NO3 − to evaluate the suitability of the groundwater for drinking purposes through geographic information system (GIS)-based water quality index (WQI) model. For quality assessment, values of analysed parameters of the groundwater samples were compared with the Bureau of Indian standards (BIS) and World Health Organization (WHO) water quality standards. The analytical results indicate slightly acidic to slightly alkaline nature of the groundwater in the study area. Concentrations of Ca2+, Mg2+, HCO3 −, F−, NO3 −, TDS and TH exceeded the desirable as well as permissible limits of drinking water quality standards recommended by the BIS (Indian Standard Drinking Water Specification, 2012) and WHO (Guidelines for drinking water quality: training pack, WHO, Geneva, 2004) in the study area during the pre- and post-monsoon seasons, respectively. However, Na+, K+, Cl− and SO4 2− concentrations were within the permissible limits during both seasons. The hydrochemical analysis of the studied groundwater samples documented with ternary and Durov diagram revealed that most of the groundwater samples belong to HCO3 − type of anions facies and no dominant type of cation facies. The GIS-based WQI maps for the study area indicate that the poor quality of water was found the maximum in the pre-monsoon season as compared to the post-monsoon season in the study area, respectively. The high values of WQI in the several groundwater samples of the Bokaro district indicate that water is not suitable for direct consumptions and it required sustainable treatment before its utilization for drinking uses

Comparative study between uses of GnRH- agonist versus hCG as an ovulation trigger in patients with polycystic ovary syndrome in antagonist protocol

Background: Polycystic ovary syndrome is one of the major causes of infertility. Almost 75% of ovulatory women have PCOS. Ovarian hyperstimulation syndrome and multiple pregnancies are known complications of PCOS in ART. Many studies are available now, to reduce the incidence and severity of OHSS in these patients, at the same time achieving acceptable pregnancy rate .In our study, we used Antagonist protocol in PCOS patients and compared the results using GnRH-Agonist versus hCG as ovulation trigger.Methods: This is double blinded comparative study between uses of GnRH- Agonist versus hCG as an ovulation trigger in 100 patients with polycystic ovary syndrome in antagonist protocol, done in private ART setting. In the study, 100 patients randomly allotted in two groups (A & B), each 50 patients, given ovulation trigger (When leading three follicles were >18 mm) as group A-GnRH-Agonist (Inj. Triptoreline 0.1 mg, 12 hours apart two doses subcutaneously) and group B  hCG as (Inj. Recombinant hCG, 250 mcg  single dose subcutaneously).Results: In our study, In 50 patients of group A, total 31 patients were pregnant. In group B of 50 cases, 29 patients were pregnant. There was no significant difference between two groups (P>0.05). Incidence of ovarian hyperstimulation syndrome is significantly less in PCOS patients, when GnRH agonist is used as ovulation trigger in Antagonist protocol, as compared to hCG (P 0.05). None patient of two groups developed severe OHSS.Conclusions: Incidence of the ovarian hyperstimulation syndrome is significantly less in patients with Polycystic Ovarian Syndrome when GnRH agonist is used as an ovulation trigger, as compared to hCG, in Antagonist protocol. In our study, there was no significant difference in pregnancy rates between two groups.

Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning

Detection of Volatile Organic Compounds (VOCs) from the breath is becoming a viable route for the early detection of diseases non-invasively. This paper presents a sensor array with three metal oxide electrodes that can use machine learning methods to identify four distinct VOCs in a mixture. The metal oxide sensor array was subjected to various VOC concentrations, including ethanol, acetone, toluene and chloroform. The dataset obtained from individual gases and their mixtures were analyzed using multiple machine learning algorithms, such as Random Forest (RF), K-Nearest Neighbor (KNN), Decision Tree, Linear Regression, Logistic Regression, Naive Bayes, Linear Discriminant Analysis, Artificial Neural Network, and Support Vector Machine. KNN and RF have shown more than 99% accuracy in classifying different varying chemicals in the gas mixtures. In regression analysis, KNN has delivered the best results with R2 value of more than 0.99 and LOD of 0.012, 0.015, 0.014 and 0.025 PPM for predicting the concentrations of varying chemicals Acetone, Toluene, Ethanol, and Chloroform, respectively in complex mixtures. Therefore, it is demonstrated that the array utilizing the provided algorithms can classify and predict the concentrations of the four gases simultaneously for disease diagnosis and treatment monitoring

Review on Long Range Solar Power Spy Robot

A Spy robot is a machine which can be controlled by the cell phone. The cell phone has twelve buttons to control the robot in four directions and also to perform other functionalities. This spy robot holding four technologies together, they are- Human Motion Detection using Passive Infrared Sensor, Metal Detection, Night Vision Wireless Camera and LED Flasher. PIR sensor detects the changes in the IR levels emitted by the humans. It can detect the levels of Infrared Radiations. Robot motion, Metal Detection, Night Vision Wireless Camera and LED Flasher is done by DTMF Technology. The system used two mobile phones, one to control the robot that sends DTMF commands via call to another mobile phone mounted on the robot vehicle. A DTMF decoder, metal detector and LED Flasher are interfaced with the microcontroller of 8051 family.