A Protocol RCT on Comparative Evaluation of Efficacy of Prakriti (Unique Constitution) Based Pathya-Apathya with Routine Diet in Healthy Children to Evaluate Its Future Observation towards Diseases to Prevent and Treat Morbidities

Background: Prakriti is a term that refers to an individual's inherent behavioural tendency. Acharyas have outlined many do’s and don'ts for maintaining a person's excellent immunity and health, such as Ritucharya (seasonal routine), Dinacharya (dietary regulations), and so on. Pathya (healthy) and Apathaya (unhealthy) are two ideas that are equally essential in the treatment of illnesses. Objectives: To Study Prakriti analysis as per systematic protocol (C-DAC) and its perception towards different diseases. To assess the impact of Pathya-Apathya concept to prevent morbidity status in adolescent. Materials and Methods: 12-16 years age group adolescent of nearby CBSE schools from MGAC will be selected Pathyapathya intervention will be given and study its perception towards different diseases prevention. Results: To summarise categorical variables such as gender, religion, education, Ahara, Vihara, and various participant complaints, frequency and percentages will be utilised. Subjective and objective criteria will be used to calculate the percentage of alleviation. The difference in results before and after intervention in this group will be observed, and the results will be presented using statistical data. Conclusion: If this prakriti wise pathya concept will be significantly efficacious then so many diseases can be prevented which is a need of the hour.

On the role of leptonic CPV phases in cLFV observables

In extensions of the standard model by Majorana fermions, the presence of additional CP violating phases has been shown to play a crucial role in lepton number violating processes. In this work we show that (Dirac and Majorana) CP violating phases can also lead to important effects in charged lepton flavour violating (cLFV) transitions and decays, in some cases with a significant impact for the predicted rates of cLFV observables. We conduct a thorough exploration of these effects in several cLFV observables, and discuss the implications for future observation. We emphasise how the presence of leptonic CP violating phases might lead to modified cLFV rates, and to a possible loss of correlation between cLFV observables.

Constrained representation learning for recurrent policy optimisation under uncertainty

Learning to make decisions in partially observable environments is a notorious problem that requires a complex representation of controllers. In most work, the controllers are designed as a non-linear mapping from a sequence of temporal observations to actions. These problems can, in principle, be formulated as a partially observable Markov decision process whose policy can be parameterised through the use of recurrent neural networks. In this paper, we will propose an alternative framework that (a) uses the Long-Short-Term-Memory (LSTM) Encoder-Decoder framework to learn an internal state representation for historical observations and then (b) integrates it into existing recurrent policy models to improve the task performance. The LSTM Encoder encodes a history of observations as input into a representation of internal states. The LSTM Decoder can perform two alternative decoding tasks: predicting the same input observation sequence or predicting future observation sequences. The first proposed decoder acts like an auto-encoder that will guide and constrain the learning of a useful internal state for the policy optimisation task. The second proposed decoder decodes the learnt internal state by the encoder to predict future observation sequences. This idea makes the network act like a non-linear predictive state representation model. Both these decoding parts, which introduce constraints to policy representation, will help guide both the policy optimisation problem and latent state representation learning. The integration of representation learning and policy optimisation aims to help learn more complex policies and improve the performance of policy learning tasks.

First Order Space Time Autoregressive Stationary Model on Petroleum Data

First order Space-Time Autoregressive model is one of the models which involves location and time. STAR(1;1) model stationary can be used to forecast future observation at a location based on one previous time of its own location and the spatial neighborhood. STAR(1;1) model on petroleum productivity data in Balongan, Indramayu, West Java with eigenvalue less than 1. It indicates that STAR (1;1) model on petroleum productivity data in Balongan, Indramayu, West Java meets the stationary requirement

On the orbital structure of the HD 82943 multi-planet system

HD 82943 hosts a mysterious multi-planet system in the 2:1 mean-motion resonance that puzzles astronomers for more than a decade. We describe our new analysis of all radial velocity data currently available for this star, including both the most recent Keck data and the older but more numerous CORALIE measurements.Here we pay a major attention to the task of optimal scheduling of the future observation of this system. Applying several optimality criteria, we demonstrate that in the forthcoming observational season of HD 82943 (the winter 2014/2015) rather promising time ranges can be found. Observations of the near future may give rather remarkable improvement of the orbital fit, but only if we choose their time carefully.

Stellar Yields of Rotating First Stars: Yields of Weak Supernovae and Abundances of Carbon-enhanced Hyper Metal Poor Stars

The three most iron-poor stars known until now are also known to have peculiar enhancements of intermediate mass elements. Under the assumption that these iron-deficient stars reveal the nucleosynthesis result of Pop III stars, we show that a weak supernova model successfully reproduces the observed abundance patterns. Moreover, we show that the initial parameters of the progenitor, such as the initial masses and the rotational property, can be constrained by the model, since the stellar yields result from the nucleosynthesis in the outer region of the star, which is significantly affected by the initial parameters. The initial parameter of Pop III stars is of prime importance for the theoretical study of the early universe. Future observation will increase the number of such carbon enhanced iron-deficient stars, and the same analysis on the stars may give valuable information for the Pop III stars that existed in our universe.