Matching Items (92)
Adaptation of Camponotus floridanus’ Cuticular Hydrocarbon Profile under High Temperature Conditions
Description
Insects are small creatures highly susceptible to water loss. A major factor in the prevention of water loss through an insect’s cuticle are their cuticular hydrocarbons (CHC), a lipid layer consisting mostly of long-chain hydrocarbons. CHCs consist of different molecules called alkanes, alkenes, and methyl branched hydrocarbons which all have varying levels of hydrophobicity. Ants are a massively abundant family of insects with important roles in the ecosystem that also utilize CHCs. Camponotus floridanus isare athe native ant species of the Florida Keys which areis known to have variable environmental temperature. Being exposed to temperatures as high as 35 °C, these ants are expected to have mechanisms that allow them to adapt to their environment. It was hypothesized that CHCs may change in concentration or composition as a means to combat the changes in cuticular permeability due to the variable temperatures that the ants experience. We therefore used C. floridanus worker ants to learn more about CHC plasticity in insects when exposed to elevated temperatures. We found four CHC componentspeaks that showed a statistically significant increase in concentration when comparing the control to treatment colonies: 3,7 dimethyl C31, an underdetermined methyl branched C31, 3,7,11 trimethyl C31, and an undetermined tetramethylbranched C31. These significant changes in concentration occurred on longer chain hydrocarbons. Under further examination, it was found that there was a strong positive correlation between elution time and the differences in medians of peak area between control and treatment colonies. This shows that there was a shift in the CHC profile resulting in an increased concentration of longer chained methyl-branched hydrocarbons. It also suggests that branched hydrocarbons also play some role in the water proofing mechanism of C. floridanus.
ContributorsOn, Thomas (Co-author) / On, Tyler (Co-author) / Liebig, Juergen (Thesis director) / Harrison, Jon (Committee member) / Murdock, Tyler (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
When ants encounter liquid food, they have two options of transporting that food to their nests. The first is the social bucket method in which liquid is carried in the mandibles of the workers back to the nest. The second is trophallaxis in which liquid is imbibed and then transported inside the ant back to the nest. The liquid is then regurgitated to fellow nestmates. Ectatomma have been observed using the social bucket method of transport and were considered members of the Ponerine family. However, a new phylogeny created by Borowiec and Rabeling places Ectatomma near to Formecinae and Myrmicinae, both know for practicing trophallaxis. This seems to suggest either Ectatomma is able to utilize trophallaxis as well or that the evolutionary practice of trophallaxis is more plastic than previously believed. The ability of Ectatomma ruidum to utilize trophallaxis was examined in two experiments. The first experiment examined E. ruidum’s ability to practice worker to worker trophallaxis and the second examined E. ruidum’s ability to perform worker to larva trophallaxis. The results of both experiments indicated that E. ruidum cannot utilize trophallaxis but the larva of E. ruidum may be able to regurgitate to the workers. These results in turn seem to suggest that trophallaxis is a bit more plastic than originally thought.
ContributorsCunningham, Cassius Alexander (Author) / Pratt, Stephen (Thesis director) / Liebig, Juergen (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
An intimate view of the unique architecture of Harpegnathos saltwater nest using aluminum nest casts
Description
Abstract:
Given the incredible variety in ant nest architecture, this experiment sought to evaluate how the nest architecture of Harpegnathos saltator differs from other species’ nests. To achieve the ability to evaluate the structure of H. saltator nest, we created experimental colonies varying in size from 20, 40, 60, 80 workers of Harpegnathos saltator in five-gallon buckets of sand and then allowing the colonies to grow for four months and twelve days. To create the nest casts, we developed a charcoal kiln out of a galvanized trash can and used a ceramic crucible to hold the aluminum being melted. Using molten aluminum to create nest casts of each colony produced, we obtained three poorly developed nests and one decent nest. The decent nest cast, the 80 worker H. saltator nest, was lacking key features of H. saltator nests that have been excavated in the field. However, they do share many of the same structures such as the shaping of the chambers. The ability of the experimental colonies to excavate the soil provided in the buckets to them was likely halted by poor penetration of water into superficial layers of the soil, thus making the soil too difficult to excavate and form the structures that are key elements of the species nest architecture. Despite these key challenges which the colonies faced, the 80-worker colony showed extensive vertical development and did display features associated with natural H. saltator colonies. Thus, given the display of some key features associated with characteristics of the H. saltator nests excavated in the field, it can be said that with some modification to technique that this is a viable avenue for future study of nest architecture and colony structure.
Given the incredible variety in ant nest architecture, this experiment sought to evaluate how the nest architecture of Harpegnathos saltator differs from other species’ nests. To achieve the ability to evaluate the structure of H. saltator nest, we created experimental colonies varying in size from 20, 40, 60, 80 workers of Harpegnathos saltator in five-gallon buckets of sand and then allowing the colonies to grow for four months and twelve days. To create the nest casts, we developed a charcoal kiln out of a galvanized trash can and used a ceramic crucible to hold the aluminum being melted. Using molten aluminum to create nest casts of each colony produced, we obtained three poorly developed nests and one decent nest. The decent nest cast, the 80 worker H. saltator nest, was lacking key features of H. saltator nests that have been excavated in the field. However, they do share many of the same structures such as the shaping of the chambers. The ability of the experimental colonies to excavate the soil provided in the buckets to them was likely halted by poor penetration of water into superficial layers of the soil, thus making the soil too difficult to excavate and form the structures that are key elements of the species nest architecture. Despite these key challenges which the colonies faced, the 80-worker colony showed extensive vertical development and did display features associated with natural H. saltator colonies. Thus, given the display of some key features associated with characteristics of the H. saltator nests excavated in the field, it can be said that with some modification to technique that this is a viable avenue for future study of nest architecture and colony structure.
ContributorsAnderson, Clayton Edward (Author) / Liebig, Juergen (Thesis director) / Pratt, Stephen (Committee member) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Complex animal societies consist of a plethora of interactions between members. To successfully thrive they must be able to recognize members and their kin, and to understand how they do this we need sufficient and reliable methods of testing. Eusocial insects are especially good at recognizing their nestmates, but the exact mechanism or how well they can discriminate is unknown. Ants achieve nestmate recognition by identifying varying proportions of cuticular hydrocarbons. Previous studies have shown ants can be trained to discriminate between pairs of hydrocarbons. This study aims to compare two methodologies previously shown to demonstrate odor learning to identify which one is the most promising to use for future odor learning experiments. The two methods tested were adapted from Sharma et al. (2015) and Guerrieri and d’Ettorre (2010). The results showed that the Guerrieri method demonstrated learning better and was more reliable and faster than the Sharma method. The Guerrieri method should be used in future experiments regarding odor learning discrimination
ContributorsDavis, Cole (Author) / Liebig, Juergen (Thesis director) / Stephen, Pratt (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
For colonies of ponerine ant species, sterility regulation after a founding queen's death is not totally achieved in the worker caste, and the possibility of sexual reproduction is opened to workers. The persisting survival of these colonies is dependent on capturing the optimal reproductive ratio; yet, an informational gap bounds the mechanisms detailing the selection of new reproductives and the suppression of ovarian development in rejected reproductives. We investigated the mechanisms of worker policing, one of the primary methods of ovarian suppression, through continuous video observation for a period of five days at the start of colony instability. Observations suggest policing in H. saltator is performed by a majority of a colony, including potential reproductives, and requires multiple events to fully discourage ovarian growth.
ContributorsChien, Jeffrey (Co-author) / Barat Ali, Fatima (Co-author) / Kang, Yun (Thesis director) / Liebig, Juergen (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Due to the widely accepted trend of urbanization displacing wildlife from their natural habitats and niches, many wildlife conservation organizations have sprouted up, even in Phoenix. Liberty Wildlife Foundation is one that rehabilitates avian wildlife. Several studies have mentioned an opposing theory: that urbanization helps conserve those species that have turned urban environments into a niche of their own. Since these wildlife conservation centers are localized in cities themselves, this brings into question these organizations' definitions of the term "wildlife." This study examined injury and recovery statistics to determine just how many of the patients admitted were conventional wildlife versus urban-dwelling city birds, and whether this classification had any effect on their likeliness of recovery and release. The data showed that out of over 130 species, a few key urban species contributed to an overwhelmingly large majority of injured birds admitted to the center in 2017; urban and non-urban birds, however, had relatively equal average release frequencies, demonstrating then that their likelihood of recovery was predominantly dependent on the injury borne by them.
ContributorsVirdee, Rishika Kaur (Author) / Liebig, Juergen (Thesis director) / Lynch, John (Committee member) / Haight, Kevin (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Insects have intricate systems they depend on for survival. They live in societies where every individual plays an important role. Ants are a great example of this observation. They are known for having structurally sound societies that ensure the livelihood of the colony. The ant species analyzed for this research, Harpegnathos saltator, portrays a structured colony and serves as a useful example of levels of hierarchy. In the colony of H. saltator, one can find a queen, gamergates, workers, and male ants living underground in Southern India. Recording and analyzing egg-laying rates are important in this study because of the amount of information it provides. It is used especially when observing the relationship among the gamergates in colonies with varying colony sizes. Three different methods were used to record the egg-laying rates, each providing insight into valuable information. Results show that the smaller colonies with fewer identified gamergates do share an equal amount of egg-laying. In larger colonies, it appears that there are more active identified gamergates than others. Egg-laying duration times are smaller in colonies with fewer gamergates. It is also found that the presence of brood does not affect egg-laying rates and reproductive inhibition could be a possibility based on two of the colonies observed F65 and F21. Based on the data found, a more active colony that attempts to maintain stability by demonstrating aggression may be affecting the reproduction of gamergates. Future work that would further strengthen the research and conclusions made would involve further observation of colonies, both large and small, with varying numbers of gamergates. More observation involving behavior among gamergates and workers would also be beneficial. Mathematical modeling could also be incorporated to create equations that could determine information about colonies based on size, number of gamergates, and egg-laying rates.
ContributorsMayoral, Alejandra (Author) / Kang, Yun (Thesis director) / Liebig, Juergen (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Open source image analytics and data mining software are widely available but can be overly-complicated and non-intuitive for medical physicians and researchers to use. The ASU-Mayo Clinic Imaging Informatics Lab has developed an in-house pipeline to process medical images, extract imaging features, and develop multi-parametric models to assist disease staging and diagnosis. The tools have been extensively used in a number of medical studies including brain tumor, breast cancer, liver cancer, Alzheimer's disease, and migraine. Recognizing the need from users in the medical field for a simplified interface and streamlined functionalities, this project aims to democratize this pipeline so that it is more readily available to health practitioners and third party developers.
ContributorsBaer, Lisa Zhou (Author) / Wu, Teresa (Thesis director) / Wang, Yalin (Committee member) / Computer Science and Engineering Program (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Video object segmentation (VOS) is an important task in computer vision with a lot of applications, e.g., video editing, object tracking, and object based encoding. Different from image object segmentation, video object segmentation must consider both spatial and temporal coherence for the object. Despite extensive previous work, the problem is still challenging. Usually, foreground object in the video draws more attention from humans, i.e. it is salient. In this thesis we tackle the problem from the aspect of saliency, where saliency means a certain subset of visual information selected by a visual system (human or machine). We present a novel unsupervised method for video object segmentation that considers both low level vision cues and high level motion cues. In our model, video object segmentation can be formulated as a unified energy minimization problem and solved in polynomial time by employing the min-cut algorithm. Specifically, our energy function comprises the unary term and pair-wise interaction energy term respectively, where unary term measures region saliency and interaction term smooths the mutual effects between object saliency and motion saliency. Object saliency is computed in spatial domain from each discrete frame using multi-scale context features, e.g., color histogram, gradient, and graph based manifold ranking. Meanwhile, motion saliency is calculated in temporal domain by extracting phase information of the video. In the experimental section of this thesis, our proposed method has been evaluated on several benchmark datasets. In MSRA 1000 dataset the result demonstrates that our spatial object saliency detection is superior to the state-of-art methods. Moreover, our temporal motion saliency detector can achieve better performance than existing motion detection approaches in UCF sports action analysis dataset and Weizmann dataset respectively. Finally, we show the attractive empirical result and quantitative evaluation of our approach on two benchmark video object segmentation datasets.
ContributorsWang, Yilin (Author) / Li, Baoxin (Thesis advisor) / Wang, Yalin (Committee member) / Cleveau, David (Committee member) / Arizona State University (Publisher)
Created2013
Description
Learning from high dimensional biomedical data attracts lots of attention recently. High dimensional biomedical data often suffer from the curse of dimensionality and have imbalanced class distributions. Both of these features of biomedical data, high dimensionality and imbalanced class distributions, are challenging for traditional machine learning methods and may affect the model performance. In this thesis, I focus on developing learning methods for the high-dimensional imbalanced biomedical data. In the first part, a sparse canonical correlation analysis (CCA) method is presented. The penalty terms is used to control the sparsity of the projection matrices of CCA. The sparse CCA method is then applied to find patterns among biomedical data sets and labels, or to find patterns among different data sources. In the second part, I discuss several learning problems for imbalanced biomedical data. Note that traditional learning systems are often biased when the biomedical data are imbalanced. Therefore, traditional evaluations such as accuracy may be inappropriate for such cases. I then discuss several alternative evaluation criteria to evaluate the learning performance. For imbalanced binary classification problems, I use the undersampling based classifiers ensemble (UEM) strategy to obtain accurate models for both classes of samples. A small sphere and large margin (SSLM) approach is also presented to detect rare abnormal samples from a large number of subjects. In addition, I apply multiple feature selection and clustering methods to deal with high-dimensional data and data with highly correlated features. Experiments on high-dimensional imbalanced biomedical data are presented which illustrate the effectiveness and efficiency of my methods.
ContributorsYang, Tao (Author) / Ye, Jieping (Thesis advisor) / Wang, Yalin (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2013