Volume 1 , Issue 1

Five Phases System in Chinese Medicine

Alex Kung-Hsiung Chang

Published: August 01, 2021; 1(1): 01-03.

In traditional Chinese medicine (TCM) philosophy, we believe that Human body are holist, it is a small universe. We also believe the corresponding relationship between five Yin organs, six Yang organ, five tissues, five sense organs with five directions, four seasons and five tastes in the nature. It unify the human body and nature environment together, reflecting the mutual acceptances of the human body and universe, which just reflects the concept of harmony between human and nature.

Role of Medicine and Meditation in Microvitopathy

S. K. Verma, Vartika Jain

Published: August 01, 2021; 1(1): 04-08.

Microvita are the smallest living entities, the concept which was first propounded by Shrii P. R. Sarkar in 1986. The science of Microvitology has categorized the microvita depending on their subtlety and field of activity. Positive microvita are conducive for human psycho-spiritual progress while negative microvita are detrimental for physico-psychic health. All the viral diseases are in fact negative microvita diseases affecting both physical (Microvitopathy) and psychic structures (Microvitopsychopathy) and the world has faced many epidemics of such diseases. According to Microvitotherapeutics, negative microvita could be destroyed only by increasing the number of positive microvita. For this purpose, sentient diet and environment, adopting moral cardinal principles along with regular practice of psycho-spiritual meditation are mandatory pre-requisites. In this context, the science of microvita should be thoroughly explored in physical and mental laboratories to combat with such negative microvita diseases.
Keywords: Microvita; Microvitotherapeutics; Virus; COVID-19

A Descriptive Study to Assess the Lifestyle Changes Adopted During Covid-19 Among Young Adults Residing in Selected Districts, Kerala

Rinu David, Jilu Jinu, Jismol Jitha, Jiya Lavanaya, Megha Merin, Merlin Minnu

Published: August 01, 2021; 1(1): 09-15.

Corona virus disease 2019 (COVID 19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1]. It is transmitted chiefly by contact within factious material (such as respiratory droplets) or with objects or surfaces contaminated by the causative virus and is characterized especially by fever, cough, shortness of breath and may progress to pneumonia and respiratory failure. The present study was a descriptive study to assess the lifestyle changes adopted during covid-19 among young adults residing in selected districts, kerala. The research approach was quantitative, and the research design adopted was descriptive survey design. 100 samples were selected by purposive sampling technique. An informed consent was obtained from the study subjects. The study was done using online structured questionnaires. Data was analyzed using descriptive and inferential statistics. The result revealed that majority of samples 62% have changes in dietary habits and 69% preferred indoor activities during this pandemic. Among samples 33% gained weight, 41% had mild anxiety during this period and 46% preferred cooking as most common leisure activity during this time. There is a greater elevation in social media usage. There was a significant association between lifestyle changes and selected demographic variables. The various changes that have become a part in our lives during this pandemic tragedy. The way forward must also be to learn the art of living with corona. And this cannot be without some changes to our lives.
Keywords: Covid-19; Lifestyle changes

Note on Pertinence of Graph Theory for Genetic Networks

V. Yegnanarayanan

Published: August 01, 2021; 1(1): 16-20.

Data collection process has witnessed explosive growth that could even outsmart the measurable gains in the field of power of computation as speculated by Moore’s Law. However, scientists spread over various domain are smearing victory through network models to denote their data. Graph- algorithms come in handy to investigate the topological structure and bring out the hidden relationships and attributes among variables. But the task of finding dense subgraphs, are still hard to negotiate from a computational viewpoint. So, it is stimulating to find new algorithmic methods in the probe of graphs derived from huge data sources that are complex. We provide a bird’s eye view of application of graph theoretic tools crisply for the probe of complex networks based on gene expression signatures and to find exact and effective solutions to hard combinatorial tasks such as epigenetic biomarker detection. To make an efficient design which is algorithm based, a probe of two core components of fixed parameter tractability namely branching and kernelization is suggested for parallel imposition of vertex cover. We have also discussed the concept of Para clique and domination concept to better handle gene expression networks.
Keywords: Genes; Genetic Networks; Data Types; Graphs; Clique Domination

Hygiene Practice: A key Factor in Limiting Food Poisoning in Hospitality Industry

Ayeni Ayodele Olaiya

Published: August 01, 2021; 1(1): 21-27.

Food hygiene practices to human existence cannot be over-emphasized. It bring about good health, growth and development of the people when it is properly maintained, while improper handling of hygiene practices could lead to illness and diseases, poor health, increased medical bills and reduced productivity. This study work on the state of hygiene practices and its important in promoting good health and development of human growth in Ekiti State. The aim is to foster proper hygiene practices among people in the State. The research will shows among others that the campaign for good hygiene alone does not assure quality and safety hygienic practice, that high premium must be placed on ascertaining compliance with proper hygiene Practice by people, food manufacturers and food agencies. Its suggested that citizens, food handlers and manufacturers should maintain high level of personal hygienic practices, and health practices in line with regulatory standards.
Keyword: Food Hygiene; Hospitality Industry

Neutrophilic urticarial dermatosis is a rarely discovered entity manifesting as a maculopapular, barely pruritic or non-pruritic, fleeting erythema with a specific histological appearance showing a perivascular infiltrate of unaltered neutrophils without associated vasculitis. This entity is associated with certain systemic diseases such as Still’s disease, Gougerot-Sjögren syndrome and Schnitzler syndrome. We report the case of a patient who presented with neutrophilic urticarial dermatosis (NUD) associated with systemic lupus erythematosus (SLE) with extracutaneous renal involvement.
Keywords: Neutrophilic urticarial dermatosis; lupus nephropathy

The Rage on Pedophilia

Adesanya Omowumi

Published: August 01, 2021; 1(1): 30.

Pedophilic disorder is characterized by recurring, intense sexually arousing fantasies, urges, or behavior involving children (usually 13 years old or younger). In some undeveloped countries, a lot of sensitizations hasn’t been done yet to defend pedophilia as a maladaptive condition and even give room for treatment of pedophiles.

Machine Learning based CAD for Breast Cancer Detection

Manoj Kumar

Published: August 01, 2021; 1(1): 31-32.

Breast cancer is the second most driven reason for the deaths among women, globally. Breast cancer is a category of cancer that develops in the breast tissue with the main observable symptom that is a lump which feels irregular from the remaining tissues. According to the reports, this cancer is affecting 2.2 million women every year . In this disease life threatening (malignant) cells in the breast multiply out of hands, making it the second most fatal type of cancer in women widely. Hence, to diminish the mortality rate and increase the chances of survival, it is crucial to uncover it as early as attainable. There have been numerous researches addressing breast cancer using machine learning and its subset techniques. Researchers claim that their algorithms are faster, simpler, and more precise than others are. This study is based on computer aided systems (CAD) and machine learning algorithms that aim to construct a framework to precisely distinguish between benign and malignant breast tumors in a screening mammogram .