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Similarities and Differences in Disciplinary Appeals Processes Across a Sample of Illinois Police Departments
No full textGovernors State University College of Business Newsletter - Spring 2023
Get PDFhttps://opus.govst.edu/cob_pubs/1010/thumbnail.jp
Mitigation of Cache Attacks on Cloud Services
Get PDFCloud computing is frequently used due to its low cost and flexibility, but it also raises security issues to cloud service providers and customers. Cache attacks are a critical security risk in cloud computing. Cache attacks use weaknesses in cloud servers\u27 cache memory to steal sensitive information, interrupt services, and decrease cloud performance. This study examines the many forms of cache attacks, their possible effects, and known mitigation measures. The study approach includes a review of current methods and their effectiveness in combating cache attack. The report also suggests future research topics for developing more effective and economical methods for preventing cache breaches in cloud computing systems
Commencement Program: 2023
Get PDFRalph Anthony Sansone and Bhargavi Kasetti delivered the Student Addresses.
Myrna Montgomery performed Lift Ev\u27ry Voice and Sing .
Lluvia Hernandez-Aguirre was recognized as the Student Trustee.
Sylvia Puente received the Honorary Doctor of Human Letters Degree
Faculty Senate Minutes, Academic Year 2023-2024, October 23, 2023
Get PDFMinutes for the Governors State University Faculty Senate Meeting held October 19, 2023
Examining the Mathematical Education Gaps during the Transition from Middle School to High School
Get PDFThis research examines the transition from middle school to high school and the effects that this transition has on a student’s mathematical gains. PSAT 8/9 test scores and NWEA MAP scores were collected for a unified district and paired T hypothesis tests were utilized to examine the change in test scores throughout the transition from eighth grade to freshmen year. This data shows that overall, there was an increase in the mean score for each test from the end of eighth grade to the end of freshmen year and there was an increase in the number of students meeting the benchmark, however the percentage of students testing at grade level by the end of freshmen year is still significantly low
Autodocking Studies of Oxygenated Fullerenes as Inhibitors of The HIV Protease
Get PDFIn a previous study, several oxygenated fullerene compounds were produced by ozonation of C60 (Buckminsterfullerene) and were identified by elemental analysis and by SALI (surface analysis by laser ionization). Some of these compounds, especially a batch, SK-5, a mixture of C60O1-8, were shown to inhibit activities of HIV-Protease with IC50 (concentration for 50% inhibition) of 1 mg/mol in the in-vitro studies. The oxygenated fullerenes were shown to have epoxide, ketones, and hydroxyl functionalities. As expected, C60 interacted with ozone with alkene functionality and not as an aromatic compound. It was postulated that C60O had epoxide functionality, as a product of ozonation of one of the double bonds of C60; C60O2 had ketone functionalities by Ozonolysis of one of the double bonds of C60; C60O4, C60O6, C60O8 had ketone functionalities by Ozonolysis of successive double bonds of C60. The hydroxyl functionality was likely produced due to interaction of water and the oxygenated fullerenes. In the present study, the interactions of oxygenated fullerenes (small molecules) with HIV-Protease (macromolecules) at the molecular levels were studied via blind docking using AutoDock Vina software to elucidate the mechanism of these interactions. The structures of C60O, C60O2, C60O4, C60O6, C60O8 were generated using Spartan software and were docked with a crystal structure of the HIV-Protease (PR) obtained from The Brookhaven Protein Data Bank using AutoDock Vina. These docking studies showed that the oxygenated fullerenes bound to multiple sites of the HIV-PR with high binding affinities (-10.4 to -8.1 kcal/mol). Nine docking poses were generated for each structure, and the models of each conformation were studied using PyMOL software. The docking models in PyMOL suggest that the high binding affinity is a result of the abundance of strong hydrogen bonds ~2.3Å long across the various C60OX structures. The presence of dipole-dipole and van der waals interactions were also found to have played a significant role in binding, with several conformations exhibiting strong binding (≥ -9.8 kcal/mol) with no hydrogen bonds. Results indicate a strong correlation between the ability of C60OX to produce hydrogen bonds/strong dipole interaction with the HIV-PR and inhibition efficacy
Connecting Number Theory with High School Mathematics
Get PDFNumber theory is the study of natural numbers and one of the oldest branches of mathematics. Elementary number theory concepts are integrated into K-12 learning experience. This paper will identify ideas and methods in elementary number theory that could be connected to K-12 education and taught in high school classrooms. In fact, Common Core Standards in Mathematics include some basic concepts and skills in elementary number theory. In this study, we will focus on the greatest common divisor, Euclid\u27s algorithm, least common multiple, factorization and divisibility criteria (divisible by 2, 3, 4, 5, 6, 8, 9, and 11). We hope that learning these contents could foster students’ interests in mathematics and help them develop computational and reasoning skills
An Analysis of Security Risks and Benefits of Cloud Computing for Organizations
Get PDFCloud computing is defined as the use of hosted services, such as data storage, servers, databases, networking, and software over the internet.
The data is stored on physical servers, which are maintained by a cloud service provider.
Computer system resources, especially data storage and computing power, are available on-demand, without direct management by the user in cloud computing
Artificial Intelligence for Cyber Security Threats
Get PDFAs the digital landscape becomes more intricate, cyber threats continue to advance in sophistication and scale, demanding proactive and adaptive solutions. This thesis delves into the realm of Artificial Intelligence (AI) and its transformative impact on bolstering cybersecurity defenses against a myriad of threats. By harnessing AI\u27s capabilities, ranging from machine learning algorithms to deep neural networks, this study explores the potential to significantly enhance threat detection, response, and mitigation strategies.
This study also addresses the need for human-machine collaboration, recognizing the integral role of skilled cybersecurity professionals in conjunction with AI algorithms. The findings contribute to a deeper understanding of AI\u27s capabilities and limitations, providing insights that can guide the development and deployment of AI-driven security systems. We look at real examples of AI success and consider ethics and teamwork with human experts. The findings show AI\u27s promise in making cybersecurity stronger against changing cyber threats