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UB Breakthroughs Summer 2016
No full textThe UB Breakthroughs newsletter for summer of 2016. This issue contains articles discussing Dr. Faezipour's research into a smartphone app for skin cancer detection, Dr. Katsifis' research into the mutagenic and carcinogenic effects of heavy metals, Dr. Oberleitner’s research into the link between social isolation and exclusion and physical and emotional pain, Dr. Lee’s classes and camps teaching college and high school students big data analytics, professor Good’s study into teaching chiropractic warm-up with resistance bands, professor Brett’s research into the safety and efficacy of electro-acupuncture, Dr. Picardi’s research into employee and employer perceptions and how to create better matches in employment, Dr. Richmond’s new book examining African-American student activism in the northeast from the 1960s through 2015, Dr. Xiong’s new MEMS-based sensor for detecting miniscule air pollutants, UB’s 3-D Printing and Advanced Manufacturing Center, Dr. Wei’s study of China and international relations regarding the South China Sea, and Dr. Pallis’ support of the UB CanSat Competition team
International Chinese Students: Enhancing the American Learning Experience
No full textApproximately 975,000 international students are studying in the USA of which one third are from China. Research suggests that Chinese students face unique cross-cultural challenges in addition to the routine challenges faced by non-Chinese foreign students such as language, customs and exchanges. This study identifies where international Chinese students need help adapting to the American education process as examined through a series of conversations with Chinese students using their social media tool WeChat. It is our belief that studying this issue on a qualitative basis using these conversations will provide insight into the forms of help needed along with how American educators may modify their classroom pedagogy to more fully integrate the Chinese learner into the instructor’s classroom
Fascinating Social Displays and Social Structure of Mallard Ducks (Anas platyrhynchos)
No full textGuana Darbouze's, Colleen Volpe's, and Liane Leedom's poster on the social structure and displays of Mallard Ducks
Saudi Interior Design Circle: A Complete Model to Start a Community for Interior Designers in Saudi Arabia
No full textThe purpose of this thesis is to find out the best solution to join students, educators, professionals, and suppliers in the interior design field as well as to increase the perceived value of interior design in Saudi Arabia. Interior designers need a place where they seek positive development, facilitate learning, and to engage in a qualified community to enhance the value of interior design at a national level
Behavioral Despair in the Talmud
No full textWe solve two "unsolvable" (teyku) problems from the Talmud that had remained unsolved for about 1,500 years. The Talmudic problems concern the implied decision-making of farmers who have left some scattered fruit behind, and the alleged impossibility of knowing whether they would return for given amounts of fruit over given amounts of land area if we aware of their behavior at exactly one point. We solve the problems by formalizing the Talmudic discussion and expressing five natural economic and mathematical assumptions
High Altitude Monkey (HAM) Project: HAM Robot Puppet
No full textA collaboration with the CT Discovery Museum and UB to create an interactive exhibit for young students to learn about near space. A capsule containing a robotic puppet (HAM the monkey) will interact with students on the ground, with gestures, as to how he is doing up in the air. The project also draws influence from NASA’s HAM project from the 1960’s when they sent a live monkey into near space
Open Source Hardware and Software Design for a Quadcopter
No full textIn the recent years quadcopter has attracted a great degree of attention both from researchers and users. Companies such as Amazon are planning to deliver goods using drones, even though applications of quadcopter might be very complex. Building and programming a drone is very easy and exciting engineering project. In this poster we describe and outline the steps for designing a quadcopter complete from scratch using components, with open source firmware. Hardware and Software is implemented in this poster
Image-Based Risk Assessment Analysis for Glaucoma Determination
No full textGlaucoma is the most common cause of blindness in the world, and it is known as the silent thief of vision because it can sneak up on any patient. However, the loss of vision from Glaucoma is preventable. Glaucoma is caused by the gradual increase of pressure in the eye which is known as Intraocular Pressure (IOP). While the pressure increases in the eye, different parts of the eye become affected until the eye parts are damaged. The eye vessels' sizes are so small that they easily become affected. Moreover, the pressure inside the eye pushes the lens affecting the size of the Pupil. Also, the pressure in the eye presses the optic nerve in the back of the eye causing damage to the nerve fibers. Over 90% of Glaucoma cases have no signs or symptoms because peripheral vision can be lost before a person's central vision is affected. The only way to prevent Glaucoma is by early detection. This research study calculates three features from the frontal eye image that can be used to assess the risk of Glaucoma. These features include redness of the sclera, red area percentage, and the Pupil size. The database used in the work contains 100 facial images that have been divided into 50 healthy cases and 50 non-healthy cases with high eye pressure. Once the features were extracted, a neural network classification is applied to obtain the status of the patients in terms of eye pressure
A Portable Real-Time Noninvasice Skin Lesion Analysis System to Assist in Melanoma Early Detection and Prevention
No full textMelanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as a result of melanoma. Further investigations have shown that the survival rates in patients depend on the stage of the cancer; early detection and intervention of melanoma implicates higher chances of cure. Clinical diagnosis and prognosis of melanoma are challenging since the processes are prone to misdiagnosis and inaccuracies due to doctors’ subjectivity. Malignant melanomas are asymmetrical, have irregular borders, notched edges, and color variations, so analyzing the shape, color, and texture of the skin lesion is important for melanoma early detection and prevention. This work proposes the two major components of a noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention. The first component is a real-time alert to help users prevent skin burn caused by sunlight; a novel equation to compute the time for skin to burn is thereby introduced. The second component is an automated image analysis module which contains image acquisition, hair detection and exclusion, lesion segmentation, feature extraction, and classification. The proposed system uses PH2 Dermoscopy image database from Pedro Hispano Hospital for development and testing purposes. The image database contains a total of 200 dermoscopy images of lesions, including benign, atypical, and melanoma cases. The experimental results show that the proposed system is efficient, achieving classification of the benign, atypical and melanoma images with accuracy of 96.3%, 95.7% and 97.5%, respectively