COMPARATIVE STUDY OF RASAYANAS DESCRIBED IN BRIHAT-TRAYI: A REVIEW

Ayurveda is the science of life that is a means to attain long and healthy life, and human beings have cherished it since antiquity, and the use of Rasayanas is one of the simplest means to attain it. A detailed description of Rasayanas has been done in our classical ayurvedic texts. Rasayana is one of the eight important branches mentioned in Ashtanga Ayurveda. Different Niruktis and definitions of Rasayanas have been quoted in different ways in ayurvedic texts. Various classifications have been done, which helps understand the concept of Rasayanas in a detailed manner. The use of Rasayanas is considered to help achieve the main aim of Ayurveda of maintaining health and treatment of the diseased. Description of Achara Rasayana has been done, which is one of the means of rejuvenation of mind and soul. Rasayanas are a boon given to the world by Ayurveda to correct Dhatu vaishamya and attain Dhatu satmya.

Trends of Healthy Life Expectancy of the Elderly in China in 1994–2015: Revisiting From the Perspective of Morbidity Transition

Research on healthy life expectancy (HLE) in China has been fueled by a spate of new data sources and studies, yet no consensus is reached on the pattern of HLE changes and the underlying mechanism. This study examined the change of HLE in China over 20 years with long term national data. Health status, measured by activities of daily living, is combined with mortality to calculate the disability-free life expectancy by the Sullivan method. The results show that the HLE rose slower than life expectancy (LE) in 1994–2004, indicating morbidity expansion. However, in 2010–2015, the proportion of HLE to LE increased, manifesting morbidity compression. A counterfactual analysis further shows that health improvement has been increasingly important in increasing HLE in 2010–2015, despite the dominance of mortality decline. The findings suggest that morbidity can transition between compression, expansion and dynamic equilibrium over a long period due to different combinations of mortality and health improvements. Given the limited data in this study, whether and how morbidity transitions unfold in the future remains open and requires further research.

Pemberdayaan Masyarakat Berbasis Komunitas Zakat Pada Masa Pandemi Di Desa Kahayya, Kabupaten Bulukumba

Zakat as one of the institutions in Islam, has a spiritual dimension and covers many aspects of community empowerment that include various aspects such as economic, social, health, education and religion, especially in the event of a pandemic. One of the community empowerment programs by zakat institutions is Zakat Community Development. One of the community empowerments programs by zakat institutions in this research to find out and analyze the concept of empowerment in the form of Zakat Community Development during the pandemic in Kahayya Village, Bulukumba Regency. The method in this study is qualitatively descriptive by finding detailed information related to the Zakat Community Development program in Kahayya Village, Bulukumba Regency. The results of this study show that several programs have been implemented covering various aspects such as socioeconomic, health, education and religion. In the field of health, disinfectant narrowing, vaccination programs, provision of handwashing, distribution of masks and hand sanitizers to socialization related to the prevention of the spread of the covid-19 virus to the community. Similarly, in the world of education, through ZCD is done the reactivation of reading parks and the development of ICT-based libraries. Socialization in pondok tahfidz as a preventive measure of transmission and healthy life is part of religious empowerment so that students can still learn religion. Especially in the economic aspects formed by several SME communities, namely farmers groups that develop AGROWISATA and horticulture, Kahayya coffee SMEs and honey mustika Kahayya SME groups.Zakat sebagai salah satu pranata dalam Islam, memiliki dimensi spiritual serta mencakup banyak aspek pemberdayaan masyarakat yang meliputi berbagai aspek seperti ekonomi, sosial, kesehatan, pendidikan dan agama, khususnya pada saat terjadi pandemi. Salah satu program pemberdayaan masyarakat oleh lembaga zakat adalah Zakat Community Development. Tujuan penelitian ini untuk mengetahui serta menganalisis konsep pemberdayaan berupa Zakat Community Development pada masa pandemi di Desa Kahayya, Kabupaten Bulukumba. Metode pada penelitian ini adalah kualitatif deskriptif dengan menemukan informasi secara detail terkait program Zakat Community Development di Desa Kahayya, Kabupaten Bulukumba. Hasil penelitian ini menunjukkan bahwa telah dilaksanakan beberapa program yang meliputi berbagai aspek seperti sosial ekonomi, kesehatan, pendidikan maupun keagamaan. Pada bidang kesehatan dilakukan penyemprotan desinfektan, program vaksinasi, penyediaan tempat cuci tangan, pembagian masker dan hand sanitizer hingga sosialisasi terkait pencegahan penyebaran virus covid-19 kepada masyarakat. Demikian pula pada dunia pendidikan, melalui ZCD dilakukan pengaktifan kembali taman baca serta pengembangan perpustakaan berbasis TIK. Sosialisasi di Pondok Tahfidz sebagai langkah pencegahan penularan dan hidup sehat merupakan bagian dari pemberdayaan keagamaan agar santri tetap dapat belajar agama. Terkhusus pada aspek ekonomi yang terbentuk beberapa komunitas UKM yaitu kelompok tani yang mengembangkan AGROWISATA dan holtikultura, UKM Kopi Kahayya serta kelompok UKM Madu Mustika Kahayya.

Implementation Of Clean and Healthy Living Behavior Efforts to Prevent the Spread of Covid 19 Padang Sambian Kelod Village

COVID-19 is a disease caused by a new type of coronavirus (SARS-CoV-2), which has now become a global health problem that can cause respiratory system disorders, ranging from mild symptoms such as flu to lung infections. The most effective effort currently being made is to create community awareness starting from the household level, namely through the implementation of Clean and Healthy Life Behavior (PHBS). PHBS culture is very influential in preventing the transmission of the COVID-19 virus. Through this KKN activity, it will be practiced as well as empowered by the community in implementing PHBS efforts. The data collection technique in this community service activity is in the form of socialization using interview and documentation techniques. This activity is expected to be entrenched in the community so that it can become a new habit that is not only valid during the COVID-19 pandemic but will be sustainable in the order of daily life. Increased community participation in PHBS, where people are able/empowered to make cloth masks to avoid splashing droplets when talking/coughing/sneezing and making natural hand sanitizers made from betel leaf and lime, so that they can suppress/control cases of illness and death due to COVID-19.

Health Schools in Spain

In 2015, the United Nations adopted 17 major Sustainable Development Goals (SDGs) to address current economic, social, and environmental challenges. Governments play a key role in achieving the SDGs through advocacy, awareness, and regulation. In this work, the authors focus on SDG 3, “Guarantee a Healthy Life and Promote Well-Being for All Ages.” Specifically, the articulation of citizen participation for health promotion in health schools is reviewed. They have been selected by choosing four schools and a Spanish entity that show how health education can facilitate the development of citizen participation in the field of health. The health schools and their corresponding training programs show the multiplicity of ways that citizens acquire access to the health field, ranging from information to decision-making in the system.

SARS-CoV-2 antibody prevalence and correlates of six ethnic groups living in Amsterdam, the Netherlands: a population-based cross-sectional study, June–October 2020

ObjectivesIt has been suggested that ethnic minorities have been disproportionally affected by the COVID-19. We aimed to determine whether prevalence and correlates of past SARS-CoV-2 exposure varied between six ethnic groups in Amsterdam, the Netherlands.Design, setting, participantsParticipants aged 25–79 years enrolled in the Healthy Life in an Urban Setting population-based prospective cohort (n=16 889) were randomly selected within ethnic groups and invited to participate in a cross-sectional COVID-19 seroprevalence substudy.Outcome measuresWe tested participants for SARS-CoV-2-specific antibodies and collected information on SARS-CoV-2 exposures. We estimated prevalence and correlates of SARS-CoV-2 exposure within ethnic groups using survey-weighted logistic regression adjusting for age, sex and calendar time.ResultsBetween 24 June and 9 October 2020, we included 2497 participants. Adjusted SARS-CoV-2 seroprevalence was comparable between ethnic Dutch (24/498; 5.1%, 95% CI 2.8% to 7.4%), South-Asian Surinamese (22/451; 4.9%, 95% CI 2.2% to 7.7%), African Surinamese (22/400; 8.3%, 95% CI 3.1% to 13.6%), Turkish (30/408; 7.9%, 95% CI 4.4% to 11.4%) and Moroccan (32/391; 7.2%, 95% CI 4.2% to 10.1%) participants, but higher among Ghanaians (95/327; 26.3%, 95% CI 18.5% to 34.0%). 57.1% of SARS-CoV-2-positive participants did not suspect or were unsure of being infected, which was lowest in African Surinamese (18.2%) and highest in Ghanaians (90.5%). Correlates of SARS-CoV-2 exposure varied across ethnic groups, while the most common correlate was having a household member suspected of infection. In Ghanaians, seropositivity was associated with older age, larger household sizes, living with small children, leaving home to work and attending religious services.ConclusionsNo remarkable differences in SARS-CoV-2 seroprevalence were observed between the largest ethnic groups in Amsterdam after the first wave of infections. The higher infection seroprevalence observed among Ghanaians, which passed mostly unnoticed, warrants wider prevention efforts and opportunities for non-symptom-based testing.

Environmental, Social, and Corporate Governance by Avoiding Management Bias and Tax Minimization

The COVID-19 pandemic shock made nations worldwide seek support in different forms of international cooperation, realizing that strength is derived from countries' capacities to unite their forces and act together in times of crisis. Faced with the perspective of the COVID-19 crisis consequences, states have to adapt, focusing on implementation of robust managerial strategies and concentrating attention on ensuring strong financial systems. Given that, on the one hand, in the attempt to provide a healthy life and sustainable development, a balance needs to be established in terms of environmental, social, and corporate governance; and, on the other hand, in the quest to guarantee fair and transparent tax systems, a minimum global tax rate should be implemented. Likewise, in the new economy, the knowledge-based economy, the digitalized economy, business organizations should act in the spirit of sustainability while centering their efforts on efficiency, productivity, profitability, and performance and benefiting from the impressive advantages provided by intangible assets.

Automated Early Prediction of Anomalies Due to Diabetes Using Fundus Images

Diabetes is one of the common diseases in the world that cannot be permanently cured, but with proper medication one can lead a long and healthy life by curbing extreme complications. The skills and equipment required to identify the conditions take a longer time to provide an accurate result and are not an affordable means for all the income groups. In order to overcome this issue, an ML model is created and deployed in an application so it will be used by many in predicting the presence of the disease. The chapter focuses on detecting the presence of two major anomalies, namely diabetic retinopathy (DR) and glaucoma, which were caused due to diabetes. All the dataset used for the project is gathered from Kaggle and Messidor. Around six machine learning algorithms that fall under supervised learning techniques are executed. Among the many models, the random forest model has a high accuracy of 73% for DR prediction. Simultaneously, glaucoma detection is performed using different algorithms showing that Naive Bayes has the highest accuracy of 98%.