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Cloud Computing Algebra Homomorphic Encryption Scheme Based on Fermat's Little Theorem
© ASEE 2013Although cloud computing is growing rapidly, a key challenge is to build confidence that the cloud can handle data securely. Data is migrated to the cloud after encryption. However, this data must be decrypted before carrying out any calculations; which can be considered as a security breach. Homomorphic encryption solved this problem by allowing different operations to be conducted on encrypted data and the result will come out encrypted as well. In this paper, we propose the application of Algebraic Homomorphic Encryption Scheme based on Fermat's Little Theorem on cloud computing for better security
Psychedelic Healing of the Past, Present, and Future: A Review of Hallucinogens and Their Potential in the Therapeutic Relationship
This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.Plants with mind-altering properties have made it possible for man to experience another plane of existence, and to see beyond what our conscious minds can fathom. The utilization of plants as therapeutic medicines is an ancient tradition far older than any contemporary science. Psychedelics are the most powerful psychiatric medicines and spiritual sacraments known to mankind. Currently there are no formally trained therapists legally permitted to use them in practice, and the available underground psychedelics are of variable quality. The goal of this review is to examine the potential use of psychedelics in healing, the therapeutic relationship, and spiritual development in order to demonstrate that further research on the topic is necessary and training for future practitioners is warranted. A thorough examination of their history and their use in research is necessary to understand their true potential. This literature review illustrates that psychedelics offer great promise as tools for treating medical disorders and addictions, as end of life therapies, and as enhancements to the psychotherapeutic process
Can the actions on regulatory T cells by natural substances influence the expression of T helper subsets, and therefore overall immune function?
This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.Regulatory T helper cells (Tregs) play an important role in promoting tolerance among T helper subsets. Research was conducted to determine if any natural substances had demonstrable effects on Treg function, and additionally if that effect could result in positive changes in chronic immune diseases such as autoimmunity or allergy. A search of the available literature revealed many natural substances to have demonstrated effects on Treg function through epigenetic, cell signaling, and unknown mechanisms. The potential for treatment of autoimmune and allergic conditions through the use of natural substances that act on Tregs shows great promise and should be studied further
UB School of Engineering Annual Report Summer 2013
A periodic publication reporting on developments and accomplishments of faculty and students in the UB School of Engineering
The Scribe
This is the April 2013 edition of the Scribe, Issue 4. The front page features an article on the Supreme Court's consideration of the Defense of Marriage Act. Additional coverage includes spring cleaning and the visit of poet Jacqueline Jones LaMon who read from her recent collection, Last Seen
Feeling Irie: Jamaican Nervines and Their Modern Applications
This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.The following literature review was conducted to evaluate and justify the use of folk, or bush medicine, in this case, from Jamaica. Real life experience with the bush doctors was utilized to identify four herbs, Piscidia erythrina, Annona muricata, Cannabis sativa and Turnera diffusa, vital to peace of mind, decreasing anxiety and improving quality of life. The herbs of interest were all analyzed from the perspective of both the Jamaican bush doctor and literature review of the past and current research conducted on these plants and published in peer-reviewed journals
Introduction of 6th Generation Smart Phone combining the features of both Apple and Android smart phones
A white paper by Nyembo Salama and Christian BachIn this paper, we present our novel contribution methodology based on the results of case study that has been implemented in our research environment to test with new technique the usability of both intelligent Android and Apple phones. This analysis of the case study stands for features similar to applications, operating system, hardware and software structure, battery life, and online based websites. Multiple interrogations were applied to collect user answers ongoing features. Users directly react by responding based on their daily used product experience. Consequently, the estimation is based on the data that has been unregistered from the user. The most recent results will end up by introducing a combination of ideal features on both products to build a wonderful extended product in the future
Highly Scalable, Parallel and Distributed AdaBoost Algorithm Using Light Weight Threads and Web Services on a Network of Multi-Core Machines
AdaBoost is an important algorithm in machine learning and is being widely used in object detection. AdaBoost works by iteratively selecting the best amongst weak classifiers, and then combines several weak classifiers to obtain a strong classifier. Even though AdaBoost has proven to be very effective, its learning execution time can be quite large depending upon the application e.g., in face detection, the learning time can be several days. Due to its increasing use in computer vision applications, the learning time needs to be drastically reduced so that an adaptive near real time object detection system can be incorporated. In this paper, we develop a hybrid parallel and distributed AdaBoost algorithm that exploits the multiple cores in a CPU via light weight threads, and also uses multiple machines via a web service software architecture to achieve high scalability. We present a novel hierarchical web services based distributed architecture and achieve nearly linear speedup up to the number of processors available to us. In comparison with the previously published work, which used a single level master-slave parallel and distributed implementation [1] and only achieved a speedup of 2.66 on four nodes, we achieve a speedup of 95.1 on 31 workstations each having a quad-core processor, resulting in a learning time of only 4.8 seconds per feature