Advanced Research Publications: Science Journals
Not a member yet
488 research outputs found
Sort by
Does Dose Calculation Algorithm Matter for Lung Cancer Treatment Plans in Radiation Therapy
No full textDose calculation algorithm in external beam photon radiation therapy forms an integral part of the treatment planning system (TPS). The accurate radiation dose estimation by dose calculation algorithm will prevent the over-dosage of normal tissues or under-dosage of tumor volume. In real clinical situations, however, accuracy of dose calculation algorithms can be limited, especially when the low-density tissue heterogeneities are encountered along the beam path. The main purpose of this article is to provide a brief communication on two most recent photon dose calculations algorithms: Analytical Anisotropic Algorithm and Acuros XB algorithm for lung cancer. The clinical application of these algorithms for lung cancer was chosen since lung involves low-density tissue heterogeneity, which has the greatest impact on the accuracy of dose calculation algorithms
Preparation of Titanium Dioxide Nanotubes and Effect of Anodization Time on the Surface Morphology
No full textVertically aligned titanium dioxide nanotubes are fabricated by anodization of titanium plates. The anodization is carried out with ammonium fluoride in ethylene glycol as the electrolyte. The surface morphology of the as-formed nanotubes were analyzed by using Scanning Electron Microscopy. The effect of anodization time on the morphology of nanotubes is investigated. Nanoporous structures are formed in the initial stages and on prolonged anodization, a clear transformation of nanopores into well separated nanotubes are observed. Excellent nanotubular arrays with an average diameter of 67 nm are obtained by continuous anodization for eight hours
Global Peace Science: Science of Peace, Harmony & Oneness of Humanity
No full textWe live in the midst of one of the greatest transitions in Earth’s history. Humanity, having become a planetary force, is now shaping both its own future and the long-term future of millions of species of life. Human values are eroding at very fast rate resulting in declining the quality of life of the people. At the dawn of the new millennium, what is required themost ‘Peace & Humanism’. Peace & Value education is in need of a new millennium and for creating a global non-violent sustainable world.Global Peace Science and Spirituality plays a key role in creating awarenessabout socialtransformation and for creating peacefrom harmony in the society today.It is imperative that every human being bears the responsibility of building peace from the deep societal structure of SPHERONS’ harmony in society and every heart and every mind. We all have this common mission that we must fulfil. World peace will be achieved when every member of humanity becomes aware of this common mission-when we all join together for our common purpose i.e. ‘Peace on the Earth.’“Global Peace Science for creating a new world order”The paper tries to explore the highestspiritual values: Peace, Harmony, Ahimsa (Non-violence), Compassion, Respect, and Tolerance for creating world peace &global citizenship through the deep societal structure of SPHERONS’ harmony, which scientifically unfold the ‘PURITY’ Model of Human Transformation ‘for “Building A World Parliament”based on the Ancient Indian philosophy “Vasudhaiva Kutumbakam”: World as one Family”
Features’ compendium for machine learning in NGS data Analysis
No full textBackgroundCurrent studies on the cancer genome, majorly involve use of next generation sequencing (NGS) technologies followed by data analysis pipelines. Many of these pipelines comprise of tools using machine learning algorithms especially for downstream analysis. Features are important components of machine learning systems and inclusion of informative features improves the accuracy of the machine learning algorithms. The algorithms used inNGS analysis leads to the generation of huge feature space.Sometimes, this high dimensionality leads to slower analysis time and lesser accuracy due to inherentbias of the model and/or redundancy of fewfeatures. With growth and interest in NGS studies, there has been a rapid development of new NGS analysis tools and improvement in the performance of the previous ones byincluding new features and excludingthe redundant ones. To enable these development, there is a dire need for standardizing this plethora of features available from literature.ResultsCurrent work presents a compendium of features that have been used in the literature for machine learning in NGS data pipeline and analysis. The features have beenfurther classified, assuming each stage of NGS data processing as individual category. The simple classification is a) Pre-processing features (b) Sequencing technology specific features (c) Downstream featuresor features for biological interpretation and analysis. This categorization will facilitate the use of correct features in a simplified manner.Conclusions The work will facilitate a uniform model for NGS tools development that utilize machine learning approaches for study of cancer data.A model for feature database and management based on this standardization is also proposed
Digital Library: Issues and Challenges
No full textUntil a few decades back, books and physical documents played an important role in knowledge growth. The rapid change in library development is pervasive. The library has since moved to digital library from the traditional libraries. Nowadays, digital libraries are providing current and updated information to its users in a standard form. Digital library is an organized collection of information, a focus collection of digital objects, including text, video, and audio along with methods for access and retrieval and for selection, organization, and maintenance of the collection. In this paper, we discuss the definition of digital library, need, advantages and disadvantages of digital library, hardware and software requirement, limitations of digital library and benefits of digital library and the factors that will necessitate the traditional libraries to get digitized
Sub-Culture of Juvenile Delinquency in India
No full textJuvenile delinquency is one the major problem to which India is subjected to, a social evil that put the future of the country at stake. This article deals with the nature of the origin of delinquent activities and the stages at which it takes place with perspective to Durkheim’s theory of “suicide”. If the nature and theorigin of a juvenile is understood than it is more beneficial to construct an approach not just to cure the social evil of delinquencies but also to campaign some preventions measure so as to stop such activities from its very root of origin. This article focused on such approach along with a logistic understanding of the nature of the origin and culture of juvenile delinquencies
A Mini Review on Biological Activities of Imidazothiazole Analogues
No full textImidazothiazole analogues have displayed different types of biological activities. For instance, Imidazothiazole are considered as antifungal, antibacterial, anti-inflammatory and antihypertensive properties. Imidazothiazole derivatives have been shown to display potent antitumor and fungistatic activities. Animidazothiazole derivative, levamisole (the levoisomer of tetramisole) is a anthelmintic, also possess immuno-modulating and immunostimulating propertie
Stochastic and Optimization Models for Two Stage Cancer Studies with homogeneous processes
No full textIn this paper, the author’s developed stochastic model for carcinogenesis under the assumption of homogeneous birth-and-death processes using ordinary linear differential equations has been considered [1]. The statistical measures based on moments are derived from the developed model. Further, stochastic optimization programming problem is formulated to find the decision parameter involved in cancer growth/ loss. This study can evaluate the status of cancer levels over a specified period. Medical practitioners can make use of this study for assessing the status levels of disease controlling parameters and for optimal drug administration to cancer patients
A Two Warehouses Inventory Model for linear Deterioration with exponentially demand rate
No full textIn this study, a two warehouses inventory model has been developed for which items are subject to linear deterioration and exponentially demand. Here shortages are allowed and are partially backlogged. The unsatisfied demand is backlogged and is a function of time. We have established the optimal order quantity by minimizing the total inventory cost
