Matching Items (325)
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Critical flicker fusion thresholds (CFFTs) describe when quick amplitude modulations of a light source become undetectable as the frequency of the modulation increases and are thought to underlie a number of visual processing skills, including reading. Here, we compare the impact of two vision-training approaches, one involving contrast sensitivity training

Critical flicker fusion thresholds (CFFTs) describe when quick amplitude modulations of a light source become undetectable as the frequency of the modulation increases and are thought to underlie a number of visual processing skills, including reading. Here, we compare the impact of two vision-training approaches, one involving contrast sensitivity training and the other directional dot-motion training, compared to an active control group trained on Sudoku. The three training paradigms were compared on their effectiveness for altering CFFT. Directional dot-motion and contrast sensitivity training resulted in significant improvement in CFFT, while the Sudoku group did not yield significant improvement. This finding indicates that dot-motion and contrast sensitivity training similarly transfer to effect changes in CFFT. The results, combined with prior research linking CFFT to high-order cognitive processes such as reading ability, and studies showing positive impact of both dot-motion and contrast sensitivity training in reading, provide a possible mechanistic link of how these different training approaches impact reading abilities.

ContributorsZhou, Tianyou (Author) / Nanez, Jose (Author) / Zimmerman, Daniel (Author) / Holloway, Steven (Author) / Seitz, Aaron (Author) / New College of Interdisciplinary Arts and Sciences (Contributor)
Created2016-10-26
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Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were developed to identify the abnormality of functional connections (FCs). Due to over-fitting and interferential effects of varying measurement conditions and demographic distributions, no

Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were developed to identify the abnormality of functional connections (FCs). Due to over-fitting and interferential effects of varying measurement conditions and demographic distributions, no classifiers have been strictly validated for independent cohorts. Here we overcome these difficulties by developing a novel machine-learning algorithm that identifies a small number of FCs that separates ASD versus TD. The classifier achieves high accuracy for a Japanese discovery cohort and demonstrates a remarkable degree of generalization for two independent validation cohorts in the USA and Japan. The developed ASD classifier does not distinguish individuals with major depressive disorder and attention-deficit hyperactivity disorder from their controls but moderately distinguishes patients with schizophrenia from their controls. The results leave open the viable possibility of exploring neuroimaging-based dimensions quantifying the multiple-disorder spectrum.

ContributorsYahata, Noriaki (Author) / Morimoto, Jun (Author) / Hashimoto, Ryuichiro (Author) / Lisi, Giuseppe (Author) / Shibata, Kazuhisa (Author) / Kawakubo, Yuki (Author) / Kuwabara, Hitoshi (Author) / Kuroda, Miho (Author) / Yamada, Takashi (Author) / Megumi, Fukuda (Author) / Imamizu, Hiroshi (Author) / Nanez, Jose (Author) / Takahashi, Hidehiko (Author) / Okamoto, Yasumasa (Author) / Kasai, Kiyoto (Author) / Kato, Nobumasa (Author) / Sasaki, Yuka (Author) / Watanabe, Takeo (Author) / Kawato, Mitsuo (Author) / New College of Interdisciplinary Arts and Sciences (Contributor)
Created2016-04-14
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Description
Peptides offer great promise as targeted affinity ligands, but the space of possible peptide sequences is vast, making experimental identification of lead candidates expensive, difficult, and uncertain. Computational modeling can narrow the search by estimating the affinity and specificity of a given peptide in relation to a predetermined protein

Peptides offer great promise as targeted affinity ligands, but the space of possible peptide sequences is vast, making experimental identification of lead candidates expensive, difficult, and uncertain. Computational modeling can narrow the search by estimating the affinity and specificity of a given peptide in relation to a predetermined protein target. The predictive performance of computational models of interactions of intermediate-length peptides with proteins can be improved by taking into account the stochastic nature of the encounter and binding dynamics. A theoretical case is made for the hypothesis that, because of the flexibility of the peptide and the structural complexity of the target protein, interactions are best characterized by an ensemble of possible bound configurations rather than a single “lock and key” fit. A model incorporating these factors is proposed and evaluated. A comprehensive dataset of 3,924 peptide-protein interface structures was extracted from the Protein Data Bank (PDB) and descriptors were computed characterizing the geometry and energetics of each interface. The characteristics of these interfaces are shown to be generally consistent with the proposed model, and heuristics for design and selection of peptide ligands are derived. The curated and energy-minimized interface structure dataset and a relational database containing the detailed results of analysis and energy modeling are made publicly available via a web repository. A novel analytical technique based on the proposed theoretical model, Virtual Scanning Probe Mapping (VSPM), is implemented in software to analyze the interaction between a target protein of known structure and a peptide of specified sequence, producing a spatial map indicating the most likely peptide binding regions on the protein target. The resulting predictions are shown to be superior to those of two other published methods, and support the validity of the stochastic binding model.
ContributorsEmery, Jack Scott (Author) / Pizziconi, Vincent B (Thesis advisor) / Woodbury, Neal W (Thesis advisor) / Guilbeau, Eric J (Committee member) / Stafford, Phillip (Committee member) / Taylor, Thomas (Committee member) / Towe, Bruce C (Committee member) / Arizona State University (Publisher)
Created2010
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Description

Vaccines are modern medicine’s best way of combating the majority of viral and bacterial illnesses and contagions to date. Thanks to the introduction of vaccines since the first uses of them in 1796 (Jenner’s smallpox vaccine), they have drastically reduced figures of disease worldwide, turning once lethal and life changing

Vaccines are modern medicine’s best way of combating the majority of viral and bacterial illnesses and contagions to date. Thanks to the introduction of vaccines since the first uses of them in 1796 (Jenner’s smallpox vaccine), they have drastically reduced figures of disease worldwide, turning once lethal and life changing conditions into minor annoyances; Some of these afflictions have even become nonexistent or even extinct in certain parts of the world outside of a controlled laboratory setting. With many advancements and overwhelming evidence proving their efficiency, it is clear that vaccines have become nothing less than a necessity for everyday healthcare in today’s world. <br/>The greatest contributor to the creation and evolution of vaccines throughout the years is by far the progress and work done in the field of molecular and cellular biology. These advancements have become the bedrock of modern vaccination, as shown by the differing types of vaccines and their methodology. The most common varieties of vaccines are include ‘dead’ or inactivated vaccines, one such example being the pertussis strain of vaccines, which have either dead or torn apart cells for the body to easily fight off, allowing the immune system to easily and quickly counter the illness; Additionally, there are also live attenuated vaccines (LAVs) in which a weaker version of the pathogen is introduced to the body to stimulate an immune response, or a recombinant mRNA vaccine where mRNA containing the coding for an antigen is presented for immunological response, the latter being what the current COVID-19 vaccines are based on. This is in part aided by the presence of immunological adjuvants, antigens and substances that the immune system can recognize, target, and remember for future infections. However, for more serious illnesses the body needs a bigger threat to analyze, which leads to live vaccines- instead of dead or individual components of a potential pathogen, a weakened version is created in the lab to allow the body to combat it. The idea behind this is the same, but to a larger degree so a more serious illness such as measles, mumps, and rubella (MMR) do not infect us.<br/>However, for the past couple of decades the public’s views on vaccination has greatly varied, with the rise of fear and disinformation leading those to believe that modern medicine is a threat in disguise. The largest of these arguments began in the late 90’s, when Dr. Andrew Wakefield published an article under the Lancet with false information connecting vaccinations to the occurrence of autism in younger children- a theory which has since then been proven incorrect numerous times over. Unfortunately, the rise of hysteria and paranoia in people, along with more misinformation from misleading sources, have strengthened the anti-vaccination cause and has made it into a serious threat to the health of those world-wide.<br/>The aim of this thesis is to provide an accurate and thorough analysis on these three themes- the history of vaccines, their inner workings and machinations in providing immune defenses for the body, and the current controversy of the anti-vaccination movement. Additionally, there will be two other sections going in-depth on two specific areas where vaccination is highly important; The spread and fear of the Human Immunodeficiency Virus (HIV) has been around for nearly four decades, so it begs the question: what makes this such a difficult virus, and how can a vaccine be created to combat it? Additionally, in the last year the world has encountered a new virus that has evolved into a global pandemic, SARS-COV 2. This new strain of coronavirus has shown itself to be highly contagious and rapidly mutating, and the race to quickly develop a vaccine to counteract it has been on-going since its first major infections in Wuhan, China. Overall, this thesis will go in-depth in providing the most accurate, up-to-date, and critical information regarding vaccinations today.

ContributorsKolb Celaya, Connor Emilio (Author) / Topal, Emel (Thesis director) / Huffman, Holly (Committee member) / College of Integrative Sciences and Arts (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Working with chocolate is a difficult endeavor. However, through the use of additive manufacturing technologies, the labor involved can be reduced. One difficulty is the pumping of the melted chocolate through the system onto the print bed of the printer. In this paper, three systems of transferring chocolate are investigated:

Working with chocolate is a difficult endeavor. However, through the use of additive manufacturing technologies, the labor involved can be reduced. One difficulty is the pumping of the melted chocolate through the system onto the print bed of the printer. In this paper, three systems of transferring chocolate are investigated: A syringe system, a gear pump system, and an auger system. Each system is explained with a model of the proposed system and the pros and cons are discussed. Lastly, a system composed of parts of the syringe and auger system is proposed. The positive and negative aspects of this design are discussed, and a 3D model of the system is given as well. This system is suggested as a better option, and future research can be done to investigate and rate these systems in greater detail. In commercial food applications, these technologies can change the way chocolate is manipulated, and difficult practices can be simplified for home chefs.

ContributorsMester, Daniel (Author) / Chen, Xiangfan (Thesis director) / Gintz, Jerry (Committee member) / College of Integrative Sciences and Arts (Contributor, Contributor) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

In the quark model, meson states consisting of a quark/anti-quark pair must obey Poincaré symmetry. As a result of that symmetry, for meson total angular momentum J, parity P, and charge conjugation symmetry C, states with JPC= 0--, 0+-, 1-+, 2+-, 3-+, 4+-, … should not be observed. A meson

In the quark model, meson states consisting of a quark/anti-quark pair must obey Poincaré symmetry. As a result of that symmetry, for meson total angular momentum J, parity P, and charge conjugation symmetry C, states with JPC= 0--, 0+-, 1-+, 2+-, 3-+, 4+-, … should not be observed. A meson observed experimentally with such quantum numbers would indicate a so-called “exotic” meson state. Exotic mesons can be multi-quark states like tetraquarks, a combination of two or more gluons known as glueballs, or a hybrid meson (qqg). Theories have suggested that three possible exotic meson states with the 1-+ quantum number: π1, η1, and η‘1,. However, no conclusive evidence for the existence of these three exotic states has been observed. This research will look for new states that decay to K* K final states with an emphasis on exotic mesons. An analysis of K+ K- π0 final states will be presented, where a restriction on the K - π0 invariant mass yields an unexpected enhancement in the K+ K- π0 spectrum.

ContributorsWalker, Patrick J (Author) / Dugger, Michael (Thesis director) / Sukharev, Maxim (Committee member) / College of Integrative Sciences and Arts (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU students. Stress levels were measured with the use of the Perceived Stress Scale (PSS). We find that the stress of ASU students from before the pandemic to during rises from 15 to 22 points, a 50% increase (n = 228). We discovered that women are more stressed than men before and during the pandemic. We also discovered that there is no difference between stresses among different races. We notice that there is a parabolic relationship between enrollment time and stress levels with the peak occurring during semesters 2-6. We also conclude that students who attended more than 5 events during the pandemic had lower stress scores, and those who had their videos on for at least 3 events had lower stress scores. Furthermore, students who utilized campus resources to manage their stress had higher stress levels than those who did not.

ContributorsRana, Mannat (Co-author) / Levine, Benjamin (Co-author) / Martin, Thomas (Thesis director) / Rendell, Dawn (Committee member) / College of Integrative Sciences and Arts (Contributor) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot

During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.

ContributorsEmmanuelli, Michelle (Author) / Jimenez Arista, Laura (Thesis director) / Sever, Amy (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU students. Stress levels were measured with the use of the Perceived Stress Scale (PSS). We find that the stress of ASU students from before the pandemic to during rises from 15 to 22 points, a 50% increase (n = 228). We discovered that women are more stressed than men before and during the pandemic. We also discovered that there is no difference between stresses among different races. We notice that there is a parabolic relationship between enrollment time and stress levels with the peak occurring during semesters 2-6. We also conclude that students who attended more than 5 events during the pandemic had lower stress scores, and those who had their videos on for at least 3 events had lower stress scores. Furthermore, students who utilized campus resources to manage their stress had higher stress levels than those who did not.

ContributorsRana, Mannat (Co-author) / Levine, Benjamin (Co-author) / Martin, Thomas (Thesis director) / Rendell, Dawn (Committee member) / College of Integrative Sciences and Arts (Contributor) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU students. Stress levels were measured with the use of the Perceived Stress Scale (PSS). We find that the stress of ASU students from before the pandemic to during rises from 15 to 22 points, a 50% increase (n = 228). We discovered that women are more stressed than men before and during the pandemic. We also discovered that there is no difference between stresses among different races. We notice that there is a parabolic relationship between enrollment time and stress levels with the peak occurring during semesters 2-6. We also conclude that students who attended more than 5 events during the pandemic had lower stress scores, and those who had their videos on for at least 3 events had lower stress scores. Furthermore, students who utilized campus resources to manage their stress had higher stress levels than those who did not.

ContributorsLevine, Benjamin (Co-author) / Rana, Mannat (Co-author) / Martin, Thomas (Thesis director) / Rendell, Dawn (Committee member) / College of Integrative Sciences and Arts (Contributor) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05