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Financial Aid, Saint Mary's College Of California

Undergraduate Academic Catalog

No abstract provided.

Academic Officers And Services, Saint Mary's College Of California

Undergraduate Academic Catalog

No abstract provided.

2. Faculty, Saint Mary's College Of California

Faculty Handbook

No abstract provided.

Model Of Tax Culture Impact On The Financial Sustainability Of Small And Medium Enterprises In Ecuador Based On Neutrosophic Hypersoft Sets, Gloria Angelica Valderrama Barragán, Edwin Favio Valderrama Barragán, Víctor Manuel Viteri Miranda, Dessire Amandiz Castro Valderrama, Italo Del Carmen Palacios Anzules

Neutrosophic Sets and Systems

The tax culture of a country consists of several factors to take into account. Tax evasion is a widespread problem in the world today. Ecuadorian Small and Medium Enterprises (SMEs) as a whole have a great impact on the country's economy and have a weight to consider. This is why it is important to measure the tax behavior of Ecuadorian SMEs. This paper aims to propose a neutrosophic model to measure the tax culture of SMEs in Ecuador. To do this, we base on a model de-signed from the Neutrosophic theory and HyperSoft Sets. Hypersoft Sets extend Soft Sets from …

Comparison Of Fuzzy Cognitive Maps And Sem In Estimating The Perception Of Corporate Social Responsibility, Roberto Arias Figueroa, Evelyn Tovar Molina, Angelita Romero Poveda, Darío Díaz Muñoz

Neutrosophic Sets and Systems

This study examines the impact of the perception of corporate social responsibility (CSR) on the perceptions of clients, em-ployees, and managers in small and medium enterprises (SMEs) in Ecuador. Utilizing a combination of Structural Equation Modeling (SEM) and Fuzzy Cognitive Maps (FCM), the research addresses how CSR policies influence the various internal stakeholders of companies, identifying complex structures of interaction and perception dynamics that could impact organi-zational performance. This neutrosophic framework not only enhances the understanding of CSR but also promotes the de-velopment of workplace welfare policies that effectively cater to a diverse range of staff needs and expectations. SEM …

Exploring The Impact Of Educational Reforms And Their Dimensions On Teacher Performance Through The Analysis Of Plithogenic Statistics, Tula Carola Sánchez García, Lizbeth Ethel Estrada Álvarez, Manuel Augusto Inga Arias

Neutrosophic Sets and Systems

The exploration of the impact of educational reforms on teacher performance is a topic that has gained unusual relevance in recent decades. By analyzing these reforms through the prism of Plithogenic statistics, a window opens to a new ap-proach that allows us to understand the inherent complexity of contemporary educational systems. Plithogenic statistics, which integrate heterogeneous and multivariate data, provide a powerful tool for unraveling how educational policies af-fect teacher performance. In this study, a multifaceted approach has been employed, ranging from longitudinal data analy-sis to qualitative evaluation of teacher perceptions, revealing an intricate interconnection between the reforms implement-ed and …

Utilizing Svnl Owa Distance Measure And Neutrosophic Topsis In The Assessment Of Management Leadership Styles, Jairo Mauricio Puetate Paucar, Diego Fernando Coka Flores, René Estalin Portilla Paguay

Neutrosophic Sets and Systems

In the complex field of evaluating leadership styles, the integration and aggregation of data has become crucial. This article delves into the use of OWA-TOPSIS, a hybrid methodology that combines the Ordered Weighted Averages (OWA) Operator and the Method for Ordering Preferences by Similarity with the Ideal Solution (TOPSIS), to achieve an accurate and holistic assessment of leadership executive. By unifying diverse data and aggregating information from multiple sources, you achieve a more complete and nuanced view of management capabilities and styles. This approach not only improves the objectivity of the analysis, but also provides a powerful tool for decision-making …

Evaluation And Selection Of Strategies For The Collection Of Real Estate Taxes Through Neutrosophic Cognitive Maps (Ncm), Lizbeth M. Clemente-Mercado, Luis F. Blanco Ayala, Jesús M. Orna-Barillas, Richard Torvisco-Type, Edwin Antonio Condori-Nina

Neutrosophic Sets and Systems

The evaluation and selection of strategies for real estate tax collection using neutrosophic cognitive maps (NCM) represents an innovative approach in urban fiscal management. This method combines elements of neutrosophic theory with cognitive evaluation techniques, allowing public administrators and urban planners to analyze the effectiveness of various fiscal tactics in complex and variable environments. NCMs facilitate a more accurate evaluation by considering not only numerical data, but also subjective perceptions and opinions of the stakeholders involved, such as owners, developers, and residents. This comprehensive approach not only optimizes efficiency in tax collection, but also promotes greater transparency and legitimacy in …

Exchange Rates And Fundamentals In Developed And Emerging Markets, Rocky K. Laurel

DLSU Business & Economics Review

This paper investigates the relationship between exchange rates on the one hand and money supply and real output on the other, then compares the relationship in developed and emerging markets. It tests the validity of the flexible price monetary model using in-sample analysis to determine if there are long-term relationships among the variables and out-of-sample analysis to compare the predictive performance of the model against a random walk. It finds evidence for a relationship as predicted by the model, contrary to long-standing findings of no relationship. It also finds some evidence that foreign exchange rates of emerging markets are more …

The Yields That Bind: Treasury Bill Yields And The Philippine Corporate Bond Yield Spreads (Pre-Covid 2012–2019), Maurice Arce, Carlos Dorado, Justine Pascua, Paul Robles, Junette Perez

DLSU Business & Economics Review

The paper’s base reference is Duffee (1998). He examined the inverse relationship between the U.S. Treasury bill yields (TBY) and the corporate bond yield spreads (CBYS). Eight years of historical data on the Philippine CBYS from 2012–2019 and data on TBY were analyzed using OLS regression. To examine, if the results hold in the Philippines and given that the bond market in the country differs from the U.S. bond markets, will the results of Duffee (1998) persist? Although the paper focused on providing evidence on one of the most basic, well-established inverse relationships between TBY and inflation to CBYS, the …

Systemic Regulation Of Artificial Intelligence, Yonathan Arbel, Matthew Tokson, Albert Lin

Articles

Today's artificial intelligence ("AI") systems exhibit increasing capabilities across a remarkable variety of tasks. The rapid growth in AI ability has caught the attention of policymakers, parliaments, and the United Nations. These entities are increasingly looking towards regulating AI, not only in its particular applications, but as a technology. Yet legal scholarship has thus far offered little to this new and critical regulatory conversation, which has instead been dominated by computer scientists and technologists.

This Article begins the project of assessing AI's broader risks and law's role in addressing them. These risks are wide ranging -they span harms to vulnerable …

Atmospheric Waves Experiment (Awe) Thermal Control System: From Design Through On-Orbit Thermal Performance, Matthew I. Ralphs, Mike Holt

Space Dynamics Laboratory Publications

The Atmospheric Waves Experiment (AWE) will provide the first global characterization of atmospheric waves that originate in Earth’s lower atmosphere and affect space weather. The instrument has been installed on the International Space Station (ISS) ExPRESS Logistics Carrier (ELC) 1 since November 2023. The main thermal control system consists of a passive, ambient temperature, bi-directional radiator to which pyrolytic graphite sheet (PGS) thermal straps connect four independent detectors, whose temperatures are actively controlled by thermoelectric coolers (TECs). This paper discusses the thermal design, thermal model correlation efforts (both with test temperature data and flight temperature data), and how the predictions …

Outcomes Of The Emdataresource Cryo-Em Ligand Modeling Challenge, Catherine L Lawson, Andriy Kryshtafovych, Grigore D Pintilie, Stephen K Burley, Jiří Černý, Vincent B Chen, Paul Emsley, Alberto Gobbi, Andrzej Joachimiak, Sigrid Noreng, Michael G Prisant, Randy J Read, Jane S Richardson, Alexis L Rohou, Bohdan Schneider, Benjamin D Sellers, Chenghua Shao, Elizabeth Sourial, Chris I Williams, Christopher J Williams, Ying Yang, Venkat Abbaraju, Pavel V Afonine, Matthew L Baker, Paul S Bond, Tom L Blundell, Tom Burnley, Arthur Campbell, Renzhi Cao, Jianlin Cheng, Grzegorz Chojnowski, K D Cowtan, Frank Dimaio, Reza Esmaeeli, Nabin Giri, Helmut Grubmüller, Soon Wen Hoh, Jie Hou, Corey F Hryc, Carola Hunte, Maxim Igaev, Agnel P Joseph, Wei-Chun Kao, Daisuke Kihara, Dilip Kumar, Lijun Lang, Sean Lin, Sai R Maddhuri Venkata Subramaniya, Sumit Mittal, Arup Mondal, Nigel W Moriarty, Andrew Muenks, Garib N Murshudov, Robert A Nicholls, Mateusz Olek, Colin M Palmer, Alberto Perez, Emmi Pohjolainen, Karunakar R Pothula, Christopher N Rowley, Daipayan Sarkar, Luisa U Schäfer, Christopher J Schlicksup, Gunnar F Schröder, Mrinal Shekhar, Dong Si, Abhishek Singharoy, Oleg V Sobolev, Genki Terashi, Andrea C Vaiana, Sundeep C Vedithi, Jacob Verburgt, Xiao Wang, Rangana Warshamanage, Martyn D Winn, Simone Weyand, Keitaro Yamashita, Minglei Zhao, Michael F Schmid, Helen M Berman, Wah Chiu

Children’s Nutrition Research Center Staff Publications

The EMDataResource Ligand Model Challenge aimed to assess the reliability and reproducibility of modeling ligands bound to protein and protein-nucleic acid complexes in cryogenic electron microscopy (cryo-EM) maps determined at near-atomic (1.9-2.5 Å) resolution. Three published maps were selected as targets: Escherichia coli beta-galactosidase with inhibitor, SARS-CoV-2 virus RNA-dependent RNA polymerase with covalently bound nucleotide analog and SARS-CoV-2 virus ion channel ORF3a with bound lipid. Sixty-one models were submitted from 17 independent research groups, each with supporting workflow details. The quality of submitted ligand models and surrounding atoms were analyzed by visual inspection and quantification of local map quality, model-to-map …

On The Sustainability Of Deep Learning Projects: Maintainers' Perspective, Junxiao Han, Jiakun Liu, David Lo, Chen Zhi, Yishan Chen, Shuiguang Deng

Research Collection School Of Computing and Information Systems

Deep learning (DL) techniques have grown in leaps and bounds in both academia and industry over the past few years. Despite the growth of DL projects, there has been little study on how DL projects evolve, whether maintainers in this domain encounter a dramatic increase in workload and whether or not existing maintainers can guarantee the sustained development of projects. To address this gap, we perform an empirical study to investigate the sustainability of DL projects, understand maintainers' workloads and workloads growth in DL projects, and compare them with traditional open-source software (OSS) projects. In this regard, we first investigate …

2023 Kahramanmaras Earthquake Sequence: Geospatial Visualization And Analysis Of Multiple Building Damage Datasets, Alejandra Bravo, Jerry Hue Truong Luong, Anahid Behrouzi

Architectural Engineering

To learn from past earthquake events, a critical task is validating observations with data. After a significant seismic event like the 2023 Kahramanmaras Türkiye earthquake series, various organizations perform reconnaissance efforts to collect building response data. Some reconnaissance missions focus on visiting fewer buildings and recording detailed information (high-resolution, HR), while others aim to visit as many buildings as possible recording basic information (low-resolution, LR). Both dataset types are vital for learning, and the next step is analyzing and visualizing the data to validate in-field observations. This paper has three purposes: 1) examine a HR dataset by Degenkolb with 138 …

A Strategic Communication Plan For The Clemente Center At Florida Tech, Cristiano Bozzolan

Theses and Dissertations

This design project develops a strategic communication plan for the Clemente Center at the Florida Institute of Technology, aimed at enhancing campus engagement. The methodology includes interviews, focus groups, a SWOT analysis, and secondary data analysis, providing insights into the communication dynamics at the center.

Key findings reveal a reliance on outdated communication methods and insufficient use of digital platforms. The proposed communication plan introduces optimized digital signage, targeted email campaigns, community engagement initiatives, and enhanced staff training. These strategies are designed to be cost-effective and actionable, addressing the center's current limitations and leveraging opportunities for improved community interaction.

This …

The Influence Of Unhelpful Supervisor Support On Employee Burnout Across Cultures, Charles Blomstrom-Johnson

Theses and Dissertations

Organizations continue to become increasingly interconnected globally, yet often fail to consider the cultural context of policies. Such failures to account for cultural differences may add to workplace stressors for employees, leading to an increased risk of burnout. Supervisors may attempt to buffer against burnout by providing social support to their employees. However, if the support given by supervisors is considered by the recipient to be unhelpful, these buffering effects may be reversed. Examining samples from the United States and Japan, this study hypothesized that unhelpful supervisor support and burnout would relate significantly to one another, and that culturally based …

Evaluating The Influence Of Evtol Pilot Interface Visual Density And Information Density On Pilot Situation Awareness, Workload, And Search Performance, Bhoomin Bhupendrabhai Chauhan

Theses and Dissertations

The purpose of the current study was to investigate the influence of levels of visual density (VD) and information density (ID) of an electrical vertical take-off and landing (eVTOL) aircraft pilot interface on pilot situation awareness (SA), workload, and search performance. An eVTOL aircraft is a novel aircraft design that is able to perform vertical take-off and landing similar to a rotorcraft and transition to a forward flight, similar to a fixed-wing aircraft. These aircraft are envisioned to operate in urban environments at lower altitudes, necessitating efficient, clear, and concise pilot interfaces to ensure safety and operational effectiveness. The study …

Integration Analysis Of Nssm, Winlogon, And P2p Networks: Security Impact And Mitigation Strategies, Maisa Emneina

Theses and Dissertations

In today's digital world, where everything is interconnected, new security threats are constantly emerging. This thesis explores the security risks that come from the combination of three specific technologies: Non-Sucking Service Manager (NSSM), Winlogon Helper DLLs, and Peer-to-Peer (P2P) networks. NSSM is a powerful tool for managing services, but it can also be used by attackers to find and exploit system weaknesses. Winlogon Helper DLLs are essential for the Windows logon process, making them a critical target for attacks. When you add P2P networks into the mix, which many applications use to share data, the potential for security issues increases …

Study On Pilot Response Time To Reject Takeoff With One Engine Inoperative (Oei), Lydia Savitri Scrivens

Theses and Dissertations

The FAA regulation 14 CFR § 25.109 defines accelerate-stop testing for transport-category multiengine aircraft. It specifies that testing must include 2-second distance equivalent at engine failure speed VEF to simulate time taken for pilot to reject takeoff. However, pilot response time is widely debated. The purpose of this study is to determine pilot response time in rejecting a takeoff due to the failure of one engine during the takeoff roll.

Seven multiengine rated pilots participated in this study, which was conducted in a Baron 58 in the X-Plane 12 flight simulator. During the recruiting process, test subject candidates provided their …

The Role Of Executive Function In Cognitive Reappraisal: A Meta-Analytic Review, Wei Xing Toh, Jun Sheng Keh, James J. Gross, Laura L. Carstensen

Research Collection School of Social Sciences

Cognitive reappraisal refers to the reinterpretation of a situation to alter its emotional meaning. Theoretically, executive functions (EFs), such as inhibition, updating, and shifting, are core elements of reappraisal processes. However, empirical studies have yielded inconsistent evidence as to whether and to what extent EFs are associated with reappraisal. To address this issue, we conducted a meta-analysis of the literature in which 179 effect sizes from 59 independent samples (N = 4,703) were included. Using random-effects metaregression with robust-variance estimates and small-sample corrections, we also examined whether variation in effect sizes could be accounted for by potential moderators, such as …

How People Prompt Generative Ai To Create Interactive Vr Scenes, Setareh Aghel Manesh, Tianyi Zhang, Yuki Onishi, Kotaro Hara, Scott Bateman, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Generative AI tools can provide people with the ability to create virtual environments and scenes with natural language prompts. Yet, how people will formulate such prompts is unclear---particularly when they inhabit the environment that they are designing. For instance, it is likely that a person might say, "Put a chair here,'' while pointing at a location. If such linguistic and embodied features are common to people's prompts, we need to tune models to accommodate them. In this work, we present a Wizard of Oz elicitation study with 22 participants, where we studied people's implicit expectations when verbally prompting such programming …

Towards Human-Centered Proactive Conversational Agents, Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Recent research on proactive conversational agents (PCAs) mainly focuses on improving the system's capabilities in anticipating and planning action sequences to accomplish tasks and achieve goals before users articulate their requests. This perspectives paper highlights the importance of moving towards building human-centered PCAs that emphasize human needs and expectations, and that considers ethical and social implications of these agents, rather than solely focusing on technological capabilities. The distinction between a proactive and a reactive system lies in the proactive system's initiative-taking nature. Without thoughtful design, proactive systems risk being perceived as intrusive by human users. We address the issue by …

Comparative Analysis Of Hate Speech Detection: Traditional Vs. Deep Learning Approaches, Haibo Pen, Nicole Anne Huiying Teo, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Detecting hate speech on social media poses a significant challenge, especially in distinguishing it from offensive language, as learning-based models often struggle due to nuanced differences between them, which leads to frequent misclassifications of hate speech instances, with most research focusing on refining hate speech detection methods. Thus, this paper seeks to know if traditional learning-based methods should still be used, considering the perceived advantages of deep learning in this domain. This is done by investigating advancements in hate speech detection. It involves the utilization of deep learning-based models for detailed hate speech detection tasks and compares the results with …

Performance Analysis Of Llama 2 Among Other Llms, Donghao Huang, Zhenda Hu, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Llama 2, an open-source large language model developed by Meta, offers a versatile and high-performance solution for natural language processing, boasting a broad scale, competitive dialogue capabilities, and open accessibility for research and development, thus driving innovation in AI applications. Despite these advancements, there remains a limited understanding of the underlying principles and performance of Llama 2 compared with other LLMs. To address this gap, this paper presents a comprehensive evaluation of Llama 2, focusing on its application in in-context learning — an AI design pattern that harnesses pre-trained LLMs for processing confidential and sensitive data. Through a rigorous comparative …

Generative Ai For Pull Request Descriptions: Adoption, Impact, And Developer Interventions, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto

Research Collection School Of Computing and Information Systems

GitHub's Copilot for Pull Requests (PRs) is a promising service aiming to automate various developer tasks related to PRs, such as generating summaries of changes or providing complete walkthroughs with links to the relevant code. As this innovative technology gains traction in the Open Source Software (OSS) community, it is crucial to examine its early adoption and its impact on the development process. Additionally, it offers a unique opportunity to observe how developers respond when they disagree with the generated content. In our study, we employ a mixed-methods approach, blending quantitative analysis with qualitative insights, to examine 18,256 PRs in …

Certified Robust Accuracy Of Neural Networks Are Bounded Due To Bayes Errors, Ruihan Zhang, Jun Sun

Research Collection School Of Computing and Information Systems

Adversarial examples pose a security threat to many critical systems built on neural networks. While certified training improves robustness, it also decreases accuracy noticeably. Despite various proposals for addressing this issue, the significant accuracy drop remains. More importantly, it is not clear whether there is a certain fundamental limit on achieving robustness whilst maintaining accuracy. In this work, we offer a novel perspective based on Bayes errors. By adopting Bayes error to robustness analysis, we investigate the limit of certified robust accuracy, taking into account data distribution uncertainties. We first show that the accuracy inevitably decreases in the pursuit of …

Augmenting Decision With Hypothesis In Reinforcement Learning, Minh Quang Nguyen, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Value-based reinforcement learning is the current State-Of-The-Art due to high sampling efficiency. However, our study shows it suffers from low exploitation in early training period and bias sensitiveness. To address these issues, we propose to augment the decision-making process with hypothesis, a weak form of environment description. Our approach relies on prompting the learning agent with accurate hypotheses, and designing a ready-to-adapt policy through incremental learning. We propose the ALH algorithm, showing detailed analyses on a typical learning scheme and a diverse set of Mujoco benchmarks. Our algorithm produces a significant improvement over value-based learning algorithms and other strong baselines. …

Transformer Models With Explainability For It Telemetry And Business Events, Shiau Hong Lim, Laura Wynter

Research Collection School Of Computing and Information Systems

Temporal event data are commonly encountered in software applications across a wide range of domains, from IT telemetry and system logs to business process automation. Temporal event data in software applications carry information in various forms: both structured and unstructured, and with both regular and irregular occurrence frequency, making the representation of temporal event data challenging. Further chal-lenges come from the diversity in terms of the scale and volume of events that need to be summarized by the representation. We propose a general and unified approach to handle temporal event data for the purpose of learning a predictive transformer model. …

Secure And Flexible Wildcard Queries, Qing Wang, Donghui Hu, Meng Li, Guomin Yang

Research Collection School Of Computing and Information Systems

Wildcard Keyword Searchable Encryption (WKSE) enables users to search desired encrypted files with wildcard queries. Previous schemes only enabled single-character wildcard queries or restricted multi-character wildcard queries. Even if the two types of queries are supported by several schemes, they are vulnerable to correlation attacks and composition attacks. In this paper, we propose a WKSE scheme Secure Flexible Wildcard Queries (SFWQ) that supports highly flexible wildcard queries and resists correlation and composition attacks. Specifically, we adopt the interval matching method instead of traditional position matching, so that SFWQ supports a variety of queries, including single-character wildcard queries, multi-character wildcard queries, …