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- Creator:
- Watson, Andrea
- Description:
- Photobiomodulation has been shown to reduce pain and expedite wound healing in animals. To determine the influence the canine's age has on the therapeutic effect of photobiomodulation after dental prophylaxis a low energy GaAlInP laser with a continuous 650 nm wavelength and 100 mW power output was used. Owners had the option to enroll their canine (n = 24) in the study if they were receiving an anesthetized dental treatment. During the post-operative recovery, each patient received irradiation (10 J/cm2) as a member of one of three randomly assigned treatment groups. One group (n = 7) received four treatment points of irradiation on the gingiva of the right upper and lower dental arcade, one group (n = 8) received four treatment points of irradiation on the gingiva of the left upper and lower dental arcade, and one group (n = 9) received a mock gingiva treatment without irradiation. Inflammation and erythema along the gingival treatment area of each canine was scored 24 hours after treatment by a blinded veterinary evaluator in person or via photograph. The data from this study indicates a trend of higher evaluation scores with increasing age of the canine patient. The data also illustrates lower evaluation scores for the canine patients who received photobiomodulation therapy following dental prophylaxis.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
2. Self-Assembled Microsphere Based Lithography of Tmeplate to Fabricate Gecko-Like Synthetic Adhesive
- Creator:
- Hirokawa, Brent, Lim, Jade, Wills, Frank, and Galotra, Rohan
- Description:
- Gecko-like synthetic adhesives (GSAs) are dry adhesives that replicate the function of gecko toepads through their microscopic fibrillar structure. To produce GSA molds, we fabricated Si templates using microsphere lithography. We formed a monolayer of polystyrene microspheres using colloidal self-assembly, then transferred this mask to a Si wafer. Next, we sputtered Au onto the mask and substrate and removed the microspheres using ultrasonication. The resulting Au-patterned Si wafer was exposed to a chemical etch to remove the uncoated material, forming deep pits in the Si surface. This surface structure forms a template for the fabrication of soft polymer molds that can be used to fabricate GSAs.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Magat, Paula Marie
- Description:
- Depleting fossil fuels has been an undergoing issue that calls for the attention of many scientists around the world, as the demand for it increases with the increasing population. Thus, various types of renewable energy sources are being studied and evaluated to determine which can accommodate the world's growing demand. For this particular study, biomass-derived substitute for aromatic compounds is being investigated, particularly biomass derived from lignin. Lignin, a complex organic polymer is one of the major components that makes up the structure of plants and wood. If broken down into simpler molecules, lignin could potentially provide a substitute for aromatic compounds, a major constituent of petroleum, which are used in variety of materials. In order to break down lignin into simpler compounds, a catalyst is essential. However, different catalysts break down lignin into different compounds, and another issue associated with biomass-derived materials is the presence of oxygen in the biomass-derived compounds. Whereas, fossil-derived compounds are mainly composed of hydrocarbons. Hence, the goal of the study is to determine whether a molybdenum catalyst can break down lignin into useful aromatics. Our findings along these lines will be discussed.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Hughes, David
- Description:
- In this poster, I present some of the work that I have done on Apache Spark implementations of randomized Linear Algebra: randomized SVD and randomized QB factorization. The field of randomized Linear Algebra has expanded rapidly in the last decade in response to the challenge of Big Data and the need for computationally efficient solutions in this realm. Probabilistic algorithms that derive a smaller matrix approximation from a higher-dimensional matrix have been shown to have both theoretical and empirical success. I seek to take advantage of the Apache Spark Big Data processing engine, in particular the GraphX library, to efficiently compute these various probabilistic algorithms in a distributed manner. Moreover, GraphX provides the graph-and-data parallel processing abstraction that I attempted to build an effective and scalable solution on top of. Finally, I verify the algorithms in a local manner and benchmark them on a large matrices to demonstrate the correctness and effectiveness of the implementations.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Lopez, Jimmy, Sherman, Tristan, Haideri, Hana, and Caudle, Mitchell
- Description:
- If UAVs are to be successfully integrated into U.S. national airspace, the ability to perform autonomous collision avoidance between both manned and unmanned aircraft is a necessity. This poster presents a method for collision avoidance utilizing Automatic Dependent Surveillance - Broadcast (ADS-B) transponders which will be required in all manned aircraft by 2020. These devices broadcast and receive global position of all similarly equipped aircraft in a 100-nautical mile vicinity. A Sig Kadet Senior and a Hangar 9 Valiant fixed wing aircraft are used as flight platforms to test autonomous collision avoidance. These aircraft will include ADS-B transponders, a Pixhawk autopilot and an Intel NUC as the primary components of the avionics system. The uniquely developed algorithm is compiled in a Linux environment and uses MAVLink protocols to send off-board commands to the autopilot. The collision avoidance algorithm uses kinematic and circular motion equations to predict the future positions of both aircraft and employ an avoidance maneuver at a constant altitude. This system is demonstrated through simple ground tests, and subsequently moving on to full-system flight tests.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Christensen, Rachel, Traylor, Allison, and Vagenas, Christina
- Description:
- There are over 400 different breeds of the domestic horse (Equus ferus caballus), each selectively bred for a purpose. Breed differences frequently result in a distinctive gait, or body movement. Individual horses may also have gait variations that differ from other members of that breed. When put under a saddle, these gait movements result in an altered experience for the rider, with some gaits causing increased jostling or rider movement. The utility of a horse for a specific assisted therapy discipline is dependent, in part, on the impact, or bounce factor experienced while riding that horse. We analyzed the gait of horses and created a formula to predict, based on the gait, the degree of bounce factor that would be experienced on that horse. This formula will allow breeders, riders, and trainers working with a horse to quickly and objectively select the discipline best suited for that horse without needing to ride, and subjectively assign the horse to a discipline.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Lee, Yoo Jin
- Description:
- An important factor of typography is the rules that dictate good type treatment. This, however, does not mean good design. My project is a book I created that shows my journey to find the perfect form of typography and how I come to achieve perfection. This books shows the research I've put in to create the perfect form of typography as a designer. The book is an in-depth exploration of typographic nomenclature and its application to live copy, grid systems, and complex hierarchy. Composition is explored, from simple to complex text type, as an avenue for expressive typography.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Herrera, Antonio, Ozen, Emre, Llacsa, Karen, and Rivera, Ernie
- Description:
- Unmanned Aerial Systems (UASs) can be cost effective and efficiently used for indoor search and rescue missions. These environments pose dangerous and risky scenarios for rescue personnel. UASs can locate and assist victims that are in need during the event of natural disaster with increased safety and low response time, without posing any danger to the rescuers. However, the lack of GPS signal in the indoor environments poses many difficulties for the use and navigation of these systems. A team from Cal Poly Pomona is using two small unmanned aerial systems, one for search and another for rescue, that can help mitigate this problem. The search UAS, a quadcopter, uses a front-facing camera for the detection of victims, a Pixhawk flight controller, and ultrasonic sensors for collision detection. Using computer vision and machine learning, the search quadcopter navigates through the indoor environments and identifies survivors of disaster, and then relays this information to the rescue UAS, also a quadcopter, via a ground control station (GCS). The rescue quadcopter then navigates to the location of the victim and releases the payload. The use of multiple unmanned aerial systems, allow for smaller, lighter, and more agile vehicles to perform better distribution of tasks. This presentation will discuss how the UASs will be able to fly autonomously within GPS-denied environments while detecting victims using artificial neural networks.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Wu, Ruifan
- Description:
- machine learning is an idea that feeding data to the machine model and it builds it own logic based on the data, and thus is able to generate results that approximate the aimed result. In this visual preference research, the goal is to train a machine model that can recognize people's faces. The model is named ResNet50, which is a Deep Convolutional Network model that is used to perform image classification task. The dataset includes 5500 people's face images that have a score of 1 through 5 of how attractive they are. Through using python, the dataset is preprocessed and the machine model is feed with those images. After 30 epoch of training and 200 times of validation set, the ResNet50 is able to score human face that closely approximates the scores of images were tagged.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Sanabria, Brandon
- Description:
- Oxidation is a corrosion phenomenon where metals degrade by reacting with their surrounding environment. There is always a need for better and more durable metals that can be used to create load-bearing structures. The objective of this project was to expose steels with different carbon contents to air at various temperatures and to analyze the microstructures of the oxidized materials. This analysis is expected to yield insights into the oxidation behavior. This presentation will report on the results of oxidation experiments on different carbon steels and microstructures obtained using optical and scanning electron microscopy will be presented. The effect of carbon content on the oxidation resistance of carbon steels will be reported. Learning outcomes and skills obtained as a result of this summer research experience will also be mentioned.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Phan, Ngu
- Description:
- Nuclear power now provides 11% of the world's electricity and is expected to be the main alternative energy in the near future. The process is highly efficient, but the fuel rod efficiency could be improved. During fission of the fuel rod, lower- mass elements including lanthanides are produced. The separation of lanthanides from actinides would improve energy generation and increase the lifespan of the fuel rod. Separation is challenging because of similar chemical properties of lanthanides and actinides, so there is interest in developing new separation methods. This work investigated the effects of redox-active ligands bound to lanthanides to tailor electronic properties for separation. The synthetic and structural chemistry of gadolinium and holmium catecholates were previously reported, but were synthesized under argon and with water as a solvent. For this research, the synthesis of gadolinium catecholates was tested under oxygen (tabletop) or under anaerobic conditions (argon) and with varying the solvent from water to methanol. Toluene-3,4-dithiol and benzene dithiol were also investigated as potential ligands. Initial findings indicated that different products were synthesized when the reaction was carried under air as opposed to argon.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Green, Nathaniel, Perez, Adrianna, Moffatt, Andrew, Cobian, Cristian, and Abarca, Mario
- Description:
- This presentation talks about the research on autonomous collision avoidance system for a octocopter unmanned aerial vehicle (UAV) using LIDAR. Lack of obstacle avoidance capabilities have limited the use of UAVs for many applications such as package delivery, traffic monitoring, search & rescue, power line inspection, and environmental gas monitoring. An S1000 octocopter is equipped with a 16 channel LIDAR, Pixhawk flight controller, and an Intel NUC onboard computer, which is used to process the LIDAR data and implement the obstacle avoidance algorithm. Data collected by the LIDAR is transferred to a planar grid system for analysis and obstacle detection. Vector Field Histogram Plus (VFH+) method is used for obstacle avoidance. A successful implementation of the algorithm yields a horizontal, bidirectional (left or right) avoidance maneuver by the vehicle. Obstacle avoidance capability helps safely integrate UAVs in the National Airspace System for many applications. Abilities to avoid both static and dynamic obstacles are important for UAVs to possess a human equivalent level of safety and to satisfy federal and local safety regulations. Improvements to the VFH+ method include using a multiplanar grid system to increase its accuracy and effectiveness for the avoidance of static and dynamic obstacles. The presentation will show and discuss simulation and flight test results.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Ravel, Michelle
- Description:
- For economic reasons and particularly in impoverished regions, wound care in animals is often limited and does not meet ideal medical recommendations. For that reason, there is an interest in discovering accessible alternatives to treat with. Manuka honey is just one raw honey product graded at a medical level that has already been shown to have antimicrobial and anti-inflammatory properties, and one that is attributed to reducing edema and pH in wounds while promoting autolytic debridement of eschar - all properties that promote healing. In this experiment, the efficacy of various raw honey products on the healing rate of 4mm punch biopsies of mice is tested. Mice in this experiment would be given a punch biopsy on their backs and then be treated once every other day by cleansing the wound and applying one of several raw honey products into the wound. A control mouse would also receive the standard 4mm punch biopsy, but would be provided the anti-inflammatory drug, Meloxicam. These wounds would be measured with a ruler at the beginning of each subsequent application to provide comparisons on which wound, and its respective honey product, yield the fastest result (namely, a completely healed wound). This information would be used to show which raw honey products could be used or should be avoided in caring for open wounds for animals whose caretakers may not have the ability to purchase or access recommended medical treatments.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Watson, Andrea
- Description:
- Photobiomodulation has been shown to reduce pain and expedite wound healing in animals. To determine the influence the canine's age has on the therapeutic effect of photobiomodulation after dental prophylaxis a low energy GaAlInP laser with a continuous 650 nm wavelength and 100 mW power output was used. Owners had the option to enroll their canine (n = 24) in the study if they were receiving an anesthetized dental treatment. During the post-operative recovery, each patient received irradiation (10 J/cm2) as a member of one of three randomly assigned treatment groups. One group (n = 7) received four treatment points of irradiation on the gingiva of the right upper and lower dental arcade, one group (n = 8) received four treatment points of irradiation on the gingiva of the left upper and lower dental arcade, and one group (n = 9) received a mock gingiva treatment without irradiation. Inflammation and erythema along the gingival treatment area of each canine was scored 24 hours after treatment by a blinded veterinary evaluator in person or via photograph. The data from this study indicates a trend of higher evaluation scores with increasing age of the canine patient. The data also illustrates lower evaluation scores for the canine patients who received photobiomodulation therapy following dental prophylaxis.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Ruiz, Jaqueline and Toscano, Cindy
- Description:
- In the past three decades there has been an increase in the number of joint replacement surgeries among the US population. People in need of these surgeries include individuals of all ages for various physiological differences. This has led to a large demand for prosthetics and better prosthetic materials. A prosthetic is a device that substitutes for or supplements a missing or defective part of the body. It is essential that the prosthetic implant functions within the physiological stresses of the body's environment. However, due to the limitations of implant durability, many implants must be replaced at one point during the recipient's life. Prosthetic loosening is one of the major reasons associated with implant replacement surgery, and revision surgeries. The most common finding with failed prosthetic implants is aseptic loosening associated with periprosthetic osteolysis, the degradation of bone surrounding the implant. Aseptic loosening can be caused by the body's own immune response by a series of interactions with multiple cell types within the body. We will examine whether fibroblasts and osteoblasts have a circumstantial migratory response on the surface of different types of alloys that comprise human prosthetics. Migration assays for fibroblasts and osteoblasts have been performed with traditional metal alloys to test whether there is a difference in migration. Novel alloys are now being analyzed. The experimental metal alloys will include commercially pure titanium (CpTi), titanium-based alloys Ti-6V-Al (Ti64), and stainless steel (SS316L). We hereby aspire to find a metal that will increase the longevity of prosthetics.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Ancona, Janelle and Markson, Jordan
- Description:
- Poultry vaccine research is being conducted at a Cal Poly Pomona biosafety level 2 (BSL-2) facility. A central component of that research is the successful incubation and hatching of specific pathogen free (SPF) eggs. In an attempt to improve the percentage of SPF poultry eggs that hatched during incubation (hatchability), a simulated natural nesting cooling period was implemented once daily in two of four incubation groups. 159 SPF chicken eggs were acquired by a commercial supplier. Two incubation groups (n = 80) were maintained at a constant temperature of 37.5 °C. Two other incubation groups (n = 79) experienced a once daily 60 minute decrease in temperature (21.1°C), simulating the cooling an egg may experience when a hen leaves the nest. Eggs were incubated in a cabinet incubator within the BSL-2 facility, and all other incubation parameters were controlled (humidity, temperature, turning interval etc.). Candling to evaluate egg development occurred after the 1st and before the 3rd week of incubation. Heart rate was evaluated non-invasively before the 3rd week of incubation. The incubation groups without a cooling period had a hatchability rate of 82.5% and 90%, while the hatchability of the two groups with the cooling period were 94.9% and 100% respectively. In the absence of other unknown factors, this evidence suggests that including a daily 60 minute cooling period during incubation increases SPF poultry egg hatchability rates.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Farraj, Mustapha and Gao, Ping-Yang
- Description:
- Object detection is the process of locating and classifying objects, which can do such as video surveillance, robot navigation, etc. Deep learning based object detectors are trained from images with known classes of objects; these detectors can only detect a set of object classes that are known at training time. If we want to detect a new object class, we need to re-train our custom detector. However, this training process requires a large amount of images of the custom objects with annotated bounding boxes and performed manually by humans, which is costly and tedious. This causes substantial barriers to build custom detectors for arbitrary objects. To tackle this problem,our project targets a fully automatic framework of building an object detector for custom objects. In particular, we will leverage 3D model reconstruction to automate the generation of a large amount of annotated image data for target objects. Instead of annotating images and creating the bounding boxes, we only need to name the 3D object's masks once and render 3D objects to generate 2D images and its masks with different backgrounds and situations. Then, masks give the names of objects and their size and location to annotate images, which then help fine-tune deep learning models to yield an object detector with compelling identification accuracy of the custom objects. We evaluate this automatic framework, showing that it achieves satisfactory accuracy with limited user assistance while running in real-time on webcam and mobile devices.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Sun, Katie, Geyer, Stuart, Paulsen, Brandon, Salinas, Alex, Mattis, Minna, Kanazawa, Garrison, Maldonado, Gerardo, Hai, Jonathan, Rivera, Edgardo, and Mancilla, Mark
- Description:
- The United States Department of Energy launched the Sunshot Initiative with a goal of reducing the cost of solar energy to $.05/kWh to make it more competitive with other forms of energy. In pursuit of this goal, a project using reverse osmosis concentrate for grid-scale energy storage has been undertaken by researchers at the California State Polytechnic University, Pomona. To assess the feasibility of such a project, a techno-economic analysis is required in order to ensure the project can meet Department of Energy goals. Using information from water districts using reverse osmosis in conjunction with thermodynamic engineering principles, the techno-economic analysis can be used as a primary indicator of the project's economic potential. This presentation explains the technical and financial considerations made in order to assess the viability of using reverse osmosis concentrate for grid-scale energy storage in order to meet the goals of the Sunshot Initiative.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Flamenco, Raul
- Description:
- Per- and poly-fluoroalkyl substances (PFAS) are anthropogenic chemicals used for waterproofing and as surfactants. They are an important group of chemicals for many industries due to their thermal and chemical stability, contributing to their persistence in the environment. As Persistent Organic Pollutants (POPs), PFAS bioaccumulate and are biomagnifed through food webs, and pose a threat to wildlife and ecosystems. Birds are often used as bioindicators for monitoring environmental conditions (e.g., the effects of DDT on raptor species). Many studies have focused their attention on eggs as indicators of contaminants ranging from heavy metals to PCBs. Limited knowledge exists regarding the relationship between environmental, maternal, and egg PFAS transfer rates. This meta-analysis will examine a few key dynamics regarding PFAS concentration in birds: (a) the transfer of PFAS from the environment to the egg in order to assess how PFAS in eggs are indicative of environmental conditions; (b) the relationship between PFAS in eggs and maternal plasma; (c) inter- and intra-specific variation; (d) geographic and temporal variation. By learning more about the distribution and transfer rates of these contaminants it will be easier to set up more consistent and focused studies that address the fate and consequences of PFAS in wild populations of birds. This study will also identify which groups of birds are most at risk as well as which areas of the world have the highest levels of PFAS.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Khuu, Stephen
- Description:
- The liver generates primary bile acids for use in the intestinal tract. Once released in the tract, intestinal bacterium convert these primary bile acids to secondary bile acids, which have been correlated to a number of intestinal diseases such as cancers in the GI tract. This conversion occurs via a metabolic pathway encoded by the bile acid induced (bai) operon. One gene, baiK, encodes a putative CoA transferase; however, this gene product has not been characterized. To investigate the role of BaiK, further in vitro characterization is needed, requiring a significant amount of purified protein. To determine expression conditions that maximize the production of soluble BaiK, different E. coli cell lines, temperatures, and induction times were investigated using SDS-PAGE analysis of whole-cell and soluble protein samples. The next step, BaiK purification, used immobilized metal affinity chromatography and size exclusion chromatography to obtain the purified BaiK protein. Using the purified protein, initial crystallization trials were conducted to identify conditions that could lead to crystal formation. Future plans include optimization of any crystallization leads and structure determination, which will allow for function and mechanism of BaiK to be better understood.
- Resource Type:
- Student Research, Presentation, Poster, and Abstract
- Campus Tesim:
- Pomona