PRANIC HEALING: A STRESS BUSTER FOR CANCER PATIENTS.

Pranic healing is a highly developed and tested system of energy based healing techniques that utilizes \"Prana\" to balance harmonize and transform the body\'s energy processes. \"Prana\" is a Sanskrit word that means \"Life-force\" This invisible bio-energy or vital energy keeps the body alive and maintains a state of good health. In acupuncture, the Chinese refer to this subtle energy as \"Chi\". It is also called \"Ruah\" or the \"Breath of life\" in the old testament. Pranic healing is a simple yet powerful and effective no touch energy healing. It is based on the fundamental principle that the body is a \"Self-repairing\" living entity that possesses the innate ability to heal itself. Pranic healing works on the principle that the healing process is accelerated by increasing the life force or vital energy on the affected part of the physical body. Pranic healing influences this natural life force to being about a healthier physical body. Pranic healing is applied on the bio-electromagnetic field known as the aura, which contains the mold and blueprint of the physical body. This bioplasmic body absorbs life energy and distributes it to the organs and glands. Disease first appear as energetic disruption in the energy field before manifesting as ailments in the physical body. With all diseases including cancer the first objective is to understand that the cause is thoughts one\'s own guilt or harmful thoughts and feeling created by one\'s upon himself. To heal from cancer one must fully cleanse the physical, emotional and mental layers of body system

Deep Residual Adaptive Neural Network Based Feature Extraction for Cognitive Computing with Multimodal Sentiment Sensing and Emotion Recognition Process

For the healthcare framework, automatic recognition of patients’ emotions is considered to be a good facilitator. Feedback about the status of patients and satisfaction levels can be provided automatically to the stakeholders of the healthcare industry. Multimodal sentiment analysis of human is considered as the attractive and hot topic of research in artificial intelligence (AI) and is the much finer classification issue which differs from other classification issues. In cognitive science, as emotional processing procedure has inspired more, the abilities of both binary and multi-classification tasks are enhanced by splitting complex issues to simpler ones which can be handled more easily. This article proposes an automated audio-visual emotional recognition model for a healthcare industry. The model uses Deep Residual Adaptive Neural Network (DeepResANNet) for feature extraction where the scores are computed based on the differences between feature and class values of adjacent instances. Based on the output of feature extraction, positive and negative sub-nets are trained separately by the fusion module thereby improving accuracy. The proposed method is extensively evaluated using eNTERFACE’05, BAUM-2 and MOSI databases by comparing with three standard methods in terms of various parameters. As a result, DeepResANNet method achieves 97.9% of accuracy, 51.5% of RMSE, 42.5% of RAE and 44.9%of MAE in 78.9sec for eNTERFACE’05 dataset.  For BAUM-2 dataset, this model achieves 94.5% of accuracy, 46.9% of RMSE, 42.9%of RAE and 30.2% MAE in 78.9 sec. By utilizing MOSI dataset, this model achieves 82.9% of accuracy, 51.2% of RMSE, 40.1% of RAE and 37.6% of MAE in 69.2sec. By analysing all these three databases, eNTERFACE’05 is best in terms of accuracy achieving 97.9%. BAUM-2 is best in terms of error rate as it achieved 30.2 % of MAE and 46.9% of RMSE. Finally MOSI is best in terms of RAE and minimal response time by achieving 40.1% of RAE in 69.2 sec

Relevance of Marma Sharira in contemporary science: A scientific review

Objective: The primary objective is to review and elaborate various concepts regarding Marma Sharira in contemporary science. Data Source: The classical Ayurveda texts along with the commentaries and peer-reviewed articles are referred. Review Methods: The classical information was further analyzed and concluded as per the author's view. Results: Every science digs up its own route through which their ideologies make its unique and distinct from other conventional science of its time and of future. The notion of Marma is one among the requisite and distinctive concepts of Ayurveda. Each Marma when collated to modern science, it corresponds with the structures sited at the region leading to crucial effects as told by Acharyas. The mechanism of action of Marma therapy can be correlated with acupressure, yoga asana mechanism in terms of prana, srotas, and vyanavata. Conclusion: Marma Sharira science is from the ancient Veda era and all other contemporary sciences have been evolved from this, but other contemporary sciences have made some changes to help in pain management. Each Marma among 107, must be studied thoroughly in view of anatomical position for prevention from injury during medical examination and during surgery and in context with clinical aspects of pain management. Since this is a scientific era, we, Ayurveda researchers, must explore Marma Sharira to prevent from the exploitation of Ayurveda

Changing the phenotypes − Epigenetics in ayurveda

Objective: The primary objective is to elaborate the various concepts concerning genetics and epigenetics in Ayurveda. Data Source: The classical Ayurveda texts, along with the commentaries and peer-reviewed articles, were referred. The classical information was further analyzed and concluded. Review Method: Systematic review after studying changes in phenotypes with a view-through epigenetics will be a scientific contribution to generate interest among medical fraternity for better public health contribution. Results: The four major factors influencing the phenotypes are lifestyle and behavior, diet and digestion, stress and the environment we live in. It is not only genes that are the cause of numerous disorders our children are facing but, also the surrounding (both living and nonliving) that lays an impact, thus changing the “gene expression,” thus changing a whole lot of traits. Conclusions: Genes are affected by several factors and processes including development in utero and childhood, environmental chemicals, drugs, and pharmaceuticals, aging, and diet thus inducing epigenetic changes through developmental plasticity which may land up into diseases with transgenerational inheritance. This comprehension will lead to better integration with the current medical system in managing optimal health of the public sector

Graph Crypto-Stego System for Securing Graph Data Using Association Schemes

Cryptography has recently become a critical area to research and advance in order to transmit information safely and securely among various entities, especially when the transmitted data is classified as crucial or important. This is due to the increase in the use of the Internet and other novel communication technology. Many businesses now outsource sensitive data to a third party because of the rise of cloud computing and storage. Currently, the key problem is to encrypt the data such that it may be stored on an unreliable server without sacrificing the ability to use it effectively. In this paper, we propose a graph encryption scheme by using cryptography and steganography. Data is encrypted using association schemes over finite abelian groups and then hiding the encrypted data behind randomly chosen cover image. We implemented and evaluated the efficiency of our constructions experimentally. We provide experimental results, statistical analysis, error analysis, and key analysis that demonstrates the appropriateness and efficiency of the proposed technique