43618 research outputs found
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Joe Rogan Experience #2255 - Mark Zuckerberg
No full texthttps://epublications.marquette.edu/zuckerberg_files_videos/1455/thumbnail.jp
Zuckerberg Facebook Reel singing Benson Boone song at Priscilla\u27s birthday party
No full texthttps://epublications.marquette.edu/zuckerberg_files_videos/1458/thumbnail.jp
Defense Information Insufficiency and Biased Information Use Behavior: Extending the Risk Information Seeking and Processing Model
No full textControversies have surrounded the COVID-19 pandemic. People encountering COVID-19-related opinions that oppose their own are likely to find their deeply held beliefs questioned and their personal integrity threatened, which can compel them into defensiveness. Consequently, to serve the goal of defending their beliefs, they might seek and process COVID-19 information in ways that are consistent with their beliefs. To examine risk information seeking and processing for this defensive informational goal, we applied the risk information seeking and processing model (Griffin, Dunwoody, & Yang, 2013), and extended it by (1) systematically explicating the concept of defense information insufficiency (the perceived information needed to preserve one’s enduring beliefs) and (2) exploring the antecedents and effects of defense information insufficiency. We conducted an online survey of Hong Kong adults aged 18 years and older and collected 830 responses. The findings showed that fear and informational subjective norms increased defense information insufficiency, which influenced the engagement in selective risk information use behavior. Informational subjective norms had also positively influenced selective information use. As a result, people were likely to be exposed to homogeneous information. Implications on polarization are discussed
Quantum Effects in Collisional Energy Transfer Simulated Using Mixed Quantum/Classical Theory
No full textMixed quantum/classical theory (MQCT) was used to study collisional energy transfer between the rotational states of molecules with the focus on reproducing quantum effects related to this process. Namely, rotational energy transfer in the N2 + O system was studied to replicate quantum interference effects observed as oscillations of scattering cross section as a function of collision energy. Both MQCT code and the full-quantum code MOLSCAT were used for calculations, and results were in excellent agreement with the experiment and the full-quantum infinite-order sudden method from literature. The CO + CO system was used as a case study for diatom + diatom collisions. First, two CO molecules were treated as distinguishable in order to compare results with available full-quantum coupled-states data. Excellent agreement between the two methods was achieved. It was found that for strong transitions with large cross sections, the results of MQCT are reliable, especially at higher collision energy. For weaker transitions and lower collision energies, the cross sections predicted by MQCT may be up to a factor of 2–3 different from those obtained by full-quantum calculations. Then, the treatment of two colliding molecules as indistinguishable was developed and applied to study H2 + H2, CO + CO, and H2O + H2O systems. MQCT results showed that if a posterior correction by a factor of 2 is applied, the distinguishable approach agrees well with the indistinguishable method, as well as with available full-quantum data. The results of the two treatments agree within 5% for most but may reach 10–20% for some transitions. At low collision energies dominated by scattering resonances, these differences can be larger, but they tend to decrease as collision energy is increased. It is also shown that if the system is artificially forced to follow the same collision path in the indistinguishable and distinguishable treatments, then all differences between the results of the two treatments disappear. This interesting finding gives new insight into the collision process and indicates that the indistinguishability of identical collision partners comes into play through the collision path itself, rather than through matrix elements of inelastic transitions
Understanding How Chaperones Influence Protein Aggregation
No full textCells depend on properly folded proteins to function and remain healthy. If proteins adopt a nonnative conformation, they may have an increased propensity to clump together or aggregate, which can compromise cell viability. Unwanted aggregates are linked to a class of diseases called proteinopathies, which include fatal disorders such as Alzheimer’s disease and amyotrophic lateral sclerosis (ALS). Fortunately, cellular factors, known as molecular chaperones, help maintain protein homeostasis by limiting and disassembling protein aggregates. However, the mechanisms that underlie how chaperones modify protein aggregation are poorly understood. The goal of this dissertation is to explore the molecular mechanisms used by chaperones to limit aggregate formation, and how chaperones facilitate aggregate disassembly. I use Saccharomyces cerevisiae as a model system to study two different aggregate types: amorphous and amyloid. Stress granules (SGs) are a type of amorphous aggregate that form in response to environmental insults and are disassembled by chaperones once stress subsides. Amyloids are much less dynamic than SGs but can be fragmented by chaperone intervention. First, I find that the Hsp70 chaperone members Ssa1 and Ssa2 limit SG protein aggregation under non-stress conditions and help properly disassemble SGs following heat shock. The next chapter addresses how amorphous and amyloid aggregates coexist. I find that the presence of amyloid delays the disassembly of SGs following heat shock, and this delay is overcome by chaperone overexpression. My data suggest that amyloid limits the availability or accessibility of chaperones to SGs, which may lead to SG solidification and disease progression. Lastly, I explore Hsp104, a disaggregase chaperone specific to fungi that is required for SG and amyloid disassembly. Using engineered point mutations, I find that the middle domain of Hsp104 controls the partial threading of substrates to ensure they are functional following disaggregation. Taken together, this dissertation has advanced our knowledge of how chaperones manage and disassemble protein aggregates and may offer important insights for understanding proteinopathy progression and potential therapeutics
Systems for Maximizing Student Learning, Engagement, and Academic Achievement
No full textThe rapid expansion of computer science education has placed significant strain on educators and students alike, particularly in large introductory programming courses. Traditional assessment methods often fail to balance timely feedback, effective student engagement, and scalable instructor support. In response, this dissertation presents TA-Bot, a novel automated assessment tool designed to incentivize early engagement, improve code quality, and encourage office-hour participation through an adaptive, non-punitive reward system. TA-Bot integrates a Time Between Submissions mechanism, dynamically modulating feedback frequency to discourage trial-and-error programming while fostering thoughtful code development. The system also implements gamification principles to motivate students to start assignments earlier and interact with course support structures. By shifting away from punitive restrictions and invasive data tracking, this research explores how positive reinforcement strategies can enhance student learning behaviors without discouraging participation. A longitudinal study was conducted across multiple semesters to evaluate the effectiveness of TA-Bot. The findings indicate that students using the system demonstrated higher engagement levels, improved code quality, and greater office-hour attendance, leading to better overall retention and performance. This work contributes to the broader discourse on CS education by demonstrating the efficacy of behavioral nudges and incentive-driven assessment tools in fostering productive learning habits