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Iron oxide nanoparticle enhancement of ionizing radiation cancer therapy
No full textThe purpose of this study was to investigate the use of IONP in combination with fractionated ionizing radiation, with and without magnetically induced mild localized hyperthermia, to enhance conventional fractionated radiation. It has been shown that ionizing radiation combined with hyperthermia can result in a greater therapeutic ratio than radiation or hyperthermia alone. Recent work has also shown that iron oxide nanoparticles may have potential as radiation sensitizers. IONP are additionally interesting because when IONP are exposed to an alternating magnetic field (AMF), a localized hyperthermia can be induced. In 1977 Adams et al. published a study which showed enhanced radiation-induced lymphocyte toxicity caused by the iodine (contrast agent) in angiocardiography patients. Since then, the body of materials shown to modify the toxicity of radiation has grown, including not only high-Z materials, but also nanoparticles, which also may act as carriers for pharmacologic agents. These materials may the reverse radiation resistance, enhance sensitivity, or provide radioprotection of normal tissue. Though largely unexplored, a proposed mechanism for radiation sensitization by IONP includes the increase in production of reactive oxygen species (ROS) when ionizing radiation interacts with IONP. While IONP are just beginning to be investigated as ionizing radiation sensitizers, significant research has been conducted to develop IONP-AMF mediated hyperthermia as a primary or adjuvant cancer therapy. Physiologically meaningful changes due to the combination of mild heat and radiation have been demonstrated in numerous cancer studies using a wide variety of heating techniques (microwave, ultrasound, perfusion and regional/whole body). Previous studies, have shown that raising the temperature of tumors with IONP-mediated hyperthermia can potentiate the efficacy of ionizing radiation. However, these studies have not considered the interaction of the IONP themselves with the ionizing radiation or as part of a fractionated treatment plan
Secure and Strong Mobile cloud Authentication
No full textMobile cloud computing has dual benefits that include cloud computing and mobile computing. In mobile cloud computing data storage and data processing take place outside the mobile device. As a result, there is a high chance of a security attack. The attacker may easily get access to our sensitive data. Due to this the malicious user may see or modify our data. To overcome this problem, we need to store our data in the cloud where it will be secured. In this paper, we propose a secure and strong authentication (SSA) process that stores the key at different cloud servers. This process provides strong authentication. Greencloud is used to validate the process. The results confirm that our proposed SSA protects the mobile cloud computing from malicious activities
The Impact of Music on Short Term Memory and Cognitive Processes
No full textThe present study sought to analyze the effects of background music on cognition (e.g., memorization, reading comprehension and pattern recognition) and which category of pop background music (instrumental pop, pop with both instrument and vocals, or pop with vocals only) may have the greatest impact on ones attention span and concentration, as operationalized through several memory and pattern recognition tasks
Preservation of Kalmyk-Mongolian Culture: Embracing the challenges of Traditionalism & Modernism
No full textPeter van Geldern's poster on a project to preserve Mongolian culture
Study of interactions between single walled carbon nanotubes and a flagellin-specific library of tripeptides
No full textDispersion of single walled carbon nanotube in water is hard to achieve due to the strong cohesive forces existing between them. A good dispersion of nanotubes is essential for their separation into their chirality based separation. Many surfactants like SDS have been used to create a dispersion of nanotubes and for their separation into different chiralities (zig-zag, armchair and chiral). The dual action of these surfactants is assumed to be due to their amphiphilic nature of a hydrophobic core surrounded by a hydrophilic head. The interaction of carbon nanotubes with biological molecules has been less studied hence finding peptides which can disperse the bundle or ropes of nanotube while displaying selective affinity for different kinds of nanotube can expand the small list of surfactants existing today. In this study, we create a tripepetide library from the D3 domain of flagellin (used in previous study by Macwan et al.) All the 9 tri-peptides in the library showed the presence of a middle glycine residue. Their interactions with single walled carbon nanotubes was studied using Visual Molecular Dynamics (VMD). RMSD provided quantitative and qualitative data to determine the extent and selectivity of the interactions, hence allowing us to screen the tri-peptide library to determine the tri-peptides with the best selective affinity for the nanotubes
Mixed Methods and Action Research: Methodologies for Special Education (In Press)
Get PDFMixed Methods and Action Research are viable approaches for conducting special education research (Bruce & Pine, 2010; Christ, 2007; Collins, Onwuegbuzie & Sutton, 2006). These two methodologies are particularly useful in a range of applications from classroom and school wide interventions, policy analysis, and even research grant applications. Action Research in particular is most applicable when the purpose for conducting research is to solve practical problems of practice such as supporting students with disabilities. Positive Behavioral Intervention Supports and Response to Intervention techniques for example use many of the procedures applicable to Action Research including planning, acting, reflecting and modifying the intervention to make improvements. Although Action Research and Mixed Methods approaches are informed by distinct literatures, it is also possible to conceptualize Action Research as a form of Mixed Methods (e.g., Christ, 2010; Ivankova, 2015). This article therefore begins by describing Action Research as a form of Mixed Methods. From there, an argument is made that Action Research can be useful for demonstrating causal explanations in special education settings. Finally, this article presents how Action Research can be used as a framework when applying for federal funds earmarked for special education
Evolution of Asteroid Orbits in a Restricted Three-Body Simulation
Get PDFWe study the evolution of asteroid orbits in a restricted threebody problem formulation consisting of the Sun, the planet Jupiter and an unspecified asteroid of negligible mass. It was discovered by Kirkwood that the distribution of asteroid orbits contains gaps for orbits whose period is commensurate with that of Jupiter. Detailed computations in three-dimensional, many-body formulations found that test bodies initially placed in a forbidden orbit did not develop large eccentricities or leave the gap even after the passage of 10^5 years. In the present two-dimensional simulation, an extension of earlier work, we perform numerical integrations of the coupled equations of motion for Jupiter and the asteroid. Under assumptions of a stationary Sun and a circular orbit for Jupiter, we find that test bodies initially placed in a forbidden orbit can develop a large eccentricity after relatively few orbits
Music and Dance of Chile
No full textIn six lessons, third grade students will study Chilean folk music. Students will be
developing auditory, rhythmic, and movement skills as well as their historical knowledge of the country. The lessons are designed to fit into a forty to forty-five minute class period. The lessons focus on the cueca dance and its importance to the country’s identity.
The unit helps students develop syncopation skills as well as recognizing musical sections of a piece while participating in a dance. Students are also exposed to a new culture and how music is experienced in that culture
Automatic Age Estimation From Real-World And Wild Face Images By Using Deep Neural Networks
No full textAutomatic age estimation from real-world and wild face images is a challenging task and has an increasing importance due to its wide range of applications in current and future lifestyles. As a result of increasing age specific human-computer interactions, it is expected that computerized systems should be capable of estimating the age from face images and respond accordingly. Over the past decade, many research studies have been conducted on automatic age estimation from face images. In this research, new approaches for enhancing age classification of a person from face images based on deep neural networks (DNNs) are proposed. The work shows that pre-trained CNNs which were trained on large benchmarks for different purposes can be retrained and fine-tuned for age estimation from unconstrained face images. Furthermore, an algorithm to reduce the dimension of the output of the last convolutional layer in pre-trained CNNs to improve the performance is developed. Moreover, two new jointly fine-tuned DNNs frameworks are proposed. The first framework fine-tunes tow DNNs with two different feature sets based on the element-wise summation of their last hidden layer outputs. While the second framework fine-tunes two DNNs based on a new cost function. For both frameworks, each has two DNNs, the first DNN is trained by using facial appearance features that are extracted by a well-trained model on face recognition, while the second DNN is trained on features that are based on the superpixels depth and their relationships. Furthermore, a new method for selecting robust features based on the power of DNN and ??21-norm is proposed. This method is mainly based on a new cost function relating the DNN and the L21 norm in one unified framework. To learn and train this unified framework, the analysis and the proof for the convergence of the new objective function to solve minimization problem are studied. Finally, the performance of the proposed jointly fine-tuned networks and the proposed robust features are used to improve the age estimation from the facial images. The facial features concatenated with their corresponding robust features are fed to the first part of both networks and the superpixels features concatenated with their robust features are fed to the second part of the network. Experimental results on a public database show the effectiveness of the proposed methods and achieved the state-of-art performance on a public database