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The Role of Diet in Disease Prevention and Management
No full textThis 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.Objective – The purpose of this thesis is to evaluate specific diets that have demonstrated, through research, efficacy for treating specific diseases. The diets that will be discussed are: Anti-cancer and vegetarian for cancer prevention and active cancer, low carbohydrate diet for cancerous tumor growth suppression, Paleolithic for diabetes and metabolic syndrome and the FODMAP and IgG food sensitivity elimination diets for Irritable Bowel Syndrome, Crohn’s and Ulcerative colitis. Basic Procedures – The databases used for searching peer reviewed research and articles were PubMed and Google Scholar®. Main articles searched were studies that targeted diets for particular disease conditions. Articles and journal entries selected were published within the past 22 years with most articles being in the past 10 years. Main Findings – There are many tentative dietary suggestions based on known compounds in food to have anti-cancer effects. Epidemiological studies of populations in India and Asia who follow a vegetarian diet due to religious convictions show efficacy in preventing certain types of cancer. The Paleolithic diet is efficacious in reversing Type II Diabetes and metabolic syndrome based on the anti-inflammatory and low glycemic index foods consumed. Despite the high amounts of saturated fat in the diet, the Paleolithic diet can lower cardiovascular disease markers. The FODMAP diet is beneficial for managing symptoms of IBS and IBD. IgG food sensitivity testing and elimination of sensitive foods can eliminate and/or reduce IBD flare ups. No studies were found to support a cure for IBD with IgG food sensitivity elimination or any other diet. Principal Conclusions - No specific diet for cancer has been double blind, randomized and placebo control tested for efficacy to date. However, it is important that diets that restrict sugars and refined carbohydrates should be recommended as cancer cells proliferate in a high glucose environment. Paleolithic diets are suggested as a beneficial diet for Type II Diabetes, 3 metabolic syndrome and cardiovascular disease risk factors. The FODMAP diet is efficacious in the treatment of Functional Gastrointestinal Disorders. However, its use in IBD may be beneficial for some patients. Food IgG sensitivity elimination is beneficial for IBD
Effects of Climate Change on Developing Countries
No full textIt is widely accepted that the environment is an intrinsic part of any development effort since it influences and in many cases dictates how people develop. On the other hand, the environmental cost of development and human progress is of critical concern as it raises issues of the ability to sustain progress and intergenerational unity. Over the past decade, there has been a shift in development and climate change discourse towards an understanding that climate change exacerbates existing development challenges, making the poor more vulnerable and pushing those on the margins closer to the edge
Brain Signals Analysis during Meditation and Problem Solving
No full text© ASEE 2015Improving performance is one of the hot topics in every industry. Researchers are working on many perspectives to achieve ideal results to improve performance. Some of them study external factors while others focus on internal factors regarding performance. They consider it an essential base to affect subject productivity. However, relaxation, calming down, and confidence play major roles in refining the efficiency of people’s productivity. This paper concentrates on the internal factors of individuals observing their performance during activity. It then analyzes brain signals during meditation and solving math problems by observing signals from the cerebral cortex of the participant using electroencephalography (EEG). Mastering the subconscious leads to improving subject productivity and performance. A person can change their habits and better themselves without using chemicals or drugs, and everything depends on a self-anchor. Meditation gives direct access to hidden power and forces the mind to act differently to gain strength reducing pain and stress and can be a self-anchor
Deployment of Heterogeneous Swarm Robotic Agents Using a Task-Oriented Utility-Based Algorithm
No full textIn a swarm robotic system, the desired collective behavior emerges from local decisions made by robots, themselves, according to their environment. Swarm robotics is an emerging area that has attracted many researchers over the last few years. It has been proven that a single robot with multiple capabilities cannot complete an intended job within the same time frame as that of multiple robotic agents. A swarm of robots, each one with its own capabilities, are more flexible, robust, and cost-effective than an individual robot. As a result of a comprehensive investigation of the current state of swarm robotic research, this dissertation demonstrates how current swarm deployment systems lack the ability to coordinate heterogeneous robotic agents. Moreover, this dissertation's objective shall define the starting point of potential algorithms that lead to the development of a new software environment interface. This interface will assign a set of collaborative tasks to the swarm system without being concerned about the underlying hardware of the heterogeneous robotic agents. The ultimate goal of this research is to develop a task-oriented software application that facilitates the rapid deployment of multiple robotic agents. The task solutions are created at run-time, and executed by the agents in a centralized or decentralized fashion. Tasks are fractioned into smaller sub-tasks which are, then, assigned to the optimal number of robots using a novel Robot Utility Based Task Assignment (RUTA) algorithm. The system deploys these robots using it's application program interfaces (API's) and uploads programs that are integrated with a small routine code. The embedded routine allows robots to configure solutions when the decentralized approach is adopted. In addition, the proposed application also offers customization of robotic platforms by simply defining the available sensing and actuation devices. Another objective of the system is to improve code and component reusability to reduce efforts in deploying tasks to swarm robotic agents. Usage of the proposed framework prevents the need to redesign or rewrite programs should any changes take place in the robot's platform
Dependent Development: The Exceptional Case of Jamaica
No full textThe present research assesses persistent underdevelopment and poverty in Jamaica through analysis of dependent development theories. The Jamaica experience questions the validity of economic development models
Data Traffic and Bandwidth Analysis
No full textThis paper tries to address current data and bandwidth problems by reorganizing few limitations of server-client and peer to peer communication model so that a hybrid model would solve issues related to both of them. The current infrastructure has some issues in catching up with the vastly increasing speeds and requirements of the clients. Following these trends, the existing infrastructure needs to be completely revamped in order to be successfully meeting the current requirements and also the requirements of the near future. Here arises a need to meet the current flow of demands while also buying time in order to get the new infrastructure in place. In order for that to happen, there exist some factors that can be manipulated so as to optimize the current system to meet the demands and provide a time buffer. Here these factors are researched upon and conclusions are drawn from this research so as to get the ways to manipulate and use these factors/resources in a correct manner for managing data traffic
Computer Aided Design and Development Of a New Solar Panel Tracking System
No full textSolar power is an alternative energy resource which will potentially reduce the dependence on environmental energy resources such as coal and petroleum. However, the solar power absorption efficiency in current solar energy panel systems is normally lower that limits the solar system applications. The solar power system needs to be improved including solar panel tracking mechanism to increase the system energy efficiency. To receive the maximum solar energy from sunlight, the tracking mechanism is required in order for solar power system to follow sun’s daily and yearly movement. The solar panel system should have the capability to store solar energy while work in rainy, windy, and snowy conditions. Also, the solar power system should be able to withstand the external loads, such as strong wind and heavy snow, to function properly even in severe weather and harsh environment. This paper presents a new type of dual-axial solar tracking mechanism to maximize the solar power absorption. The computer aided 3-D modeling, numerical analysis, and prototype experiments have been performed to design and develop this new solar tracking system
Cell Phone Addiction at UB? A Preliminary Survey
No full textMerriam Webster on line dictionary defines addiction as “a strong and harmful need to regularly have something or do something”. Humans have a need to communicate. When Antonio Meucci invented the telephone in 1849, he expanded our ability to communicate but probably did not suspect that his device would evolve to invade our consciousness and dominate our time and lives. This survey was designed to explore cell phone addiction on the UB campus
Computing the interactions of pulmonary surfactant protein adsorption on carbon nanotube for specific biosensor in detecting respiratory distress syndrome
No full textBhushan Dharmadhikari, Yunfeng Jiang, and Prabir Patra's poster discussing the use of parallel computing for molecular dynamic simulations of pulmonary surfactant protein adsorption on carbon nanotube for specific biosensor in detecting respiratory distress syndrome
Cost of Electricity Generation’s Relationship to Population and Population Density
No full textThe popularity and increasing need for use of electronics is steadily raising the number of households that require electricity, therefore increasing the likelihood that the price of electricity will increase. Everyone needs electricity, and when demand goes up, so does cost. The cost of electricity has risen over the last decade, and it likely will not stop rising. Electricity is getting more expensive all across the US but seems most expensive in areas with greatest population density rather than simply in the most populated states