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Articles 181 - 210 of 24559
Full-Text Articles in Social and Behavioral Sciences
Baseball Decision-Making: Optimizing At-Bat Simulations, Varun Gopal, Krithika Kondakindi, Nibhrat Lohia, Morgan Williams
Baseball Decision-Making: Optimizing At-Bat Simulations, Varun Gopal, Krithika Kondakindi, Nibhrat Lohia, Morgan Williams
SMU Data Science Review
Pitch selection in baseball plays a crucial role, involving pitchers, catchers, and batters working together. This practice, dating back to early baseball, has seen teams try various methods to gain an advantage. This research aims to use reinforcement learning and pitch-by-pitch Statcast data to improve batting strategies. It also builds on previous statistical work (sabermetrics) to make better choices in pitch selection and plate discipline. The dataset used, including over 700,000 pitches for each full season and 200,000 pitches for the COVID-shortened 2020 season, encompasses a wealth of crucial metrics including pitch release point, velocity, and launch angle. This study …
Open Source Supply Chain Security: A Cost-Benefit Analysis Of Achieving Various Security Thresholds In Build Environments, Carly Retterer
Open Source Supply Chain Security: A Cost-Benefit Analysis Of Achieving Various Security Thresholds In Build Environments, Carly Retterer
Computer Science Senior Theses
Open source software has become a cornerstone of modern software development, offering unparalleled opportunities for innovation and collaboration. However, its widespread adoption has also introduced a host of security vulnerabilities, particularly in the software supply chain. This paper provides a comprehensive cost-benefit analysis of achieving various security thresholds to harden the build environment, focusing on isolated, hermetic, reproducible, and bootstrappable builds. For each build type, we provide a clear definition and outline the steps required for implementation. We then evaluate the associated costs and benefits of each build, emphasizing their roles in strengthening the build environment and enhancing supply chain …
Memories Of Recipes In Twentieth-Century Irish Cookbooks, Gary Thompson
Memories Of Recipes In Twentieth-Century Irish Cookbooks, Gary Thompson
Dublin Gastronomy Symposium
This paper analyses and categorises the ways in which authors and their publishers have chosen to include the author’s culinary, food and personal memories within the texts of twenty twentieth century Irish Cookbooks. Cookbooks are subjects of culinary nostalgia with the reading of a recipe capable of triggering in the reader a memory of a meal enjoyed, a dish cooked in times past by a loved one, or recollections of the disgust felt for a food hated in childhood. Independent from the reader, the culinary memories of the author can be captured at the time of publication in the text …
Academic Search And Discovery Tools In The Age Of Ai And Large Language Models: An Overview Of The Space, Aaron Tay
AI for Research Week
In the ever-evolving landscape of academic research, “AI tools” for literature search and synthesis are currently getting a lot of attention. These tools promise to ramp up productivity, enabling us to accomplish more in less time or absorb more knowledge without drowning in endless reading. With the sheer number of these systems increasing daily, it's natural to wonder: are they really worth our time and money? And if they are, how should we go about picking the right one from the multitude of options?
In this talk, I will share my views on how the space has developed over two …
Examining Differences In Concept Representation Across Similarity Spaces Between Humans And Large Language Models, Krishnachandra Nair
Examining Differences In Concept Representation Across Similarity Spaces Between Humans And Large Language Models, Krishnachandra Nair
Computer Science Senior Theses
The replication of human concept representation is a critical task for the pursuit of artificial general intelligence. With the recent influx of large language models that demonstrate text-generation capabilities nearly on par with humans, the question stands on whether these large language models can capture concepts within language. We examine this question by exploring differences in concept representation across similarity spaces between humans and LLMs. We find that, while concept representation within LLMs does partially mimic human concept representation, LLMs are greatly limited by their dependence on semantic information and cannot therefore develop an understanding of human social code or …
Ripl: Recursive Inference For Policy Learning, Kunal Jha, Jeremy R. Manning, Alberto Quattrini Li
Ripl: Recursive Inference For Policy Learning, Kunal Jha, Jeremy R. Manning, Alberto Quattrini Li
Computer Science Senior Theses
Humans excel at understanding the thoughts and intentions of others (theory of mind) and leverage this ability to learn and adapt in social environments. However, replicating this capability in artificial agents remains a challenge. This paper explores the gap between fast, efficient learning often achieved by Reinforcement Learning (RL) algorithms and the interpretability and adaptability desired in agents interacting with humans. We propose a novel approach that integrates an inference network within existing RL frameworks. This allows agents to reason about the beliefs of others (nested reasoning) while learning optimal actions. Our method leverages approximate solutions to the I-POMDP framework, …
Comparing Researchers’ Degree Of Dichotomous Thinking Using Frequentist Versus Bayesian Null Hypothesis Testing, Jasmine Muradchanian, Rink Hoekstra, Henk Kiers, Dustin Fife, Don Van Ravenzwaaij
Comparing Researchers’ Degree Of Dichotomous Thinking Using Frequentist Versus Bayesian Null Hypothesis Testing, Jasmine Muradchanian, Rink Hoekstra, Henk Kiers, Dustin Fife, Don Van Ravenzwaaij
College of Science & Mathematics Departmental Research
A large amount of scientific literature in social and behavioural sciences bases their conclusions on one or more hypothesis tests. As such, it is important to obtain more knowledge about how researchers in social and behavioural sciences interpret quantities that result from hypothesis test metrics, such as p-values and Bayes factors. In the present study, we explored the relationship between obtained statistical evidence and the degree of belief or confidence that there is a positive effect in the population of interest. In particular, we were interested in the existence of a so-called cliff effect: A qualitative drop in the …
05-20--2024 Orsp Newsletter, Liz Williamson
05-20--2024 Orsp Newsletter, Liz Williamson
ORSP Newsletter
NIH RPPR Update (Research Performance Progress Report)
Advances In Data-Driven Life Sciences Research, Haiping Jiang, Chunchun Gao, Wenhao Liu, Yungui Yang, Xin Li
Advances In Data-Driven Life Sciences Research, Haiping Jiang, Chunchun Gao, Wenhao Liu, Yungui Yang, Xin Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
The field of life sciences is rapidly evolving, driven by advancements in experimental techniques and vast biological big data which gradually arise and play an increasingly important role in life science research. First of all, biological big data has diversity and complexity, including genomic data, epigenomic data, proteomic data and other types. These data provide researchers with more comprehensive information and help reveal the laws behind life phenomena. Second, new data-driven developments and applications in life sciences cover many fields such as gene editing, precision medicine, drug development, etc., providing unprecedented possibilities for human health and quality of life. However, …
Progress And Challenges Of Sustainable Development Goals (Sdgs) In The World And In China, Bojie Fu, Junze Zhang
Progress And Challenges Of Sustainable Development Goals (Sdgs) In The World And In China, Bojie Fu, Junze Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Achieving the 17 Sustainable Development Goals (SDGs) adopted by United Nations is a critical task for countries around the world from 2016 to 2030. Yet, recent assessments indicate that progress on half of the SDGs has stagnated or even regressed, and that most goals are unlikely to be met by 2030. This study reviews the progress globally and in China towards achieving the 17 SDGs, and summarizes five key challenges that are impinging their realization: 1) the data gaps and insufficient monitoring capacity, 2) the high complexity of interlinkages among the SDGs, 3) the influence of regional disparities and negative …
Big Life-Science: Study Of Omics From Microscopic To Mesoscopic Scales, Jiarui Wu
Big Life-Science: Study Of Omics From Microscopic To Mesoscopic Scales, Jiarui Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The human genome project at the turn of the century opened a new era of life science research and formed various omics characterized by holistic high-throughput research. The initial omics research was mainly carried out at the molecular level, such as genomics, transcriptomics, proteomics, etc., showing a new paradigm of data-driven research. With the development of research technologies, the omics research has risen to the mesoscopic level, the representative is the “Human Cell Atlas” project launched in 2017. At present, researchers have been able to carry out omics research at the level of tissues, organs, and even individuals, and resulted …
Brain Science And Brain-Inspired Intelligence In Intelligent Era, Xu Zhang
Brain Science And Brain-Inspired Intelligence In Intelligent Era, Xu Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
With intelligence technology as the core technology and intelligent computing power as the productive force, the intelligent era has once again pushed brain science to the forefront of world science and technology. Brain science is the science that studies the nature and rule of cognition and intelligence of human, animal, and machine. A comprehensive analysis of the structure and functional connection rule of the nervous system will eventually draw the functional connectivity map of the brain. In the past decade, neuroscience research has been committed to systematically analyzing the types of neurons and neural structural connections of the nervous system, …
Some Reflections On Developing Trend Of Gravimetry In China, Heping Sun
Some Reflections On Developing Trend Of Gravimetry In China, Heping Sun
Bulletin of Chinese Academy of Sciences (Chinese Version)
With the development of modern science and technology, gravimetry is growing vigorously and is increasingly becoming an interdisciplinary subject that is closely related to many others such as geology, fundamental physics, geodynamics, hydrology, oceanography, and astronomy. It is now a key subject in giving service to demands in national strategy and fundamental researches in geoscience such as fiducial surveying and mapping, resource exploration, military security, and hazard monitoring. Therefore, owning the core gravimetric techniques is one of the pivots which reflect national core competitiveness. This study first briefly overviews the history and actuality of the growth of gravimetry subject in …
Technology Innovation Is The Key To Future Space Science Missions, Ji Wu
Technology Innovation Is The Key To Future Space Science Missions, Ji Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Space science is one of the important space activities of China together with space technology and space application. Although it is a space program aimed at scientific discovery and breakthrough, with the development of technology and the increasing number of achievements received in the past, space science missions require more and more technological innovation to achieve their goals. This study first reviews the development trend of space science missions since their birth, then analyzes the cultivation process of space science mission proposals with technological innovation and the responsibilities of the chief scientist leading such tasks, and finally analyzes and proposes …
New Frontier In Race For Deep Space Exploration: Lunar Water Resources, Yong Wei, Honglei Lin, Fei He, Hui Zhang
New Frontier In Race For Deep Space Exploration: Lunar Water Resources, Yong Wei, Honglei Lin, Fei He, Hui Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Deep space exploration has become the commanding heights of science and technology competition. Since the beginning of the 21st century, China has successfully completed the lunar exploration missions of “orbiting, landing, and returning” in just twenty years, and upgraded to a new roadmap of “survey, construction, and utilization”. Meanwhile, lunar exploration worldwide has shown a trend towards normalization and commercialization. The research on lunar water resources has sparked widespread interest and intense competition among countries and space agencies, marking a new focus in human’s deep space exploration. The exploration of lunar water can help reveal crucial processes in the formation …
Winning Battle For Key And Core Technologies In Emerging Fields—Inspiration Based On 863 Program Related Projects, Guangzu Bai, Li Li, Hongfei Meng, Qiang Wang, Xiaoyang Cao, Anrong Liu, Bo Cheng, Mimi Zhan, Jing Li, Leiei Cui, Xiangwan Du
Winning Battle For Key And Core Technologies In Emerging Fields—Inspiration Based On 863 Program Related Projects, Guangzu Bai, Li Li, Hongfei Meng, Qiang Wang, Xiaoyang Cao, Anrong Liu, Bo Cheng, Mimi Zhan, Jing Li, Leiei Cui, Xiangwan Du
Bulletin of Chinese Academy of Sciences (Chinese Version)
Emerging technology fields have become the main battleground for strategic competition among major powers today, with key and core technologies serving as crucial approach in shaping a nation’s international competitive advantage. This study, from the perspective of national strategy, profoundly understands the significant importance of winning the key and core technology battle in emerging fields. Based on this understanding, it starts with a comparison between the implementation background of the 863 Program and the current reality. It systematically summarizes valuable experiences from projects aimed at advancing key and core technologies in emerging fields, and puts forward reflections and suggestions for …
Promoting Ecosystem Based Marine Management Through A Marine Ecological Classification And Zoning System, Wenhai Lu, Xiao Li, Meng Cui
Promoting Ecosystem Based Marine Management Through A Marine Ecological Classification And Zoning System, Wenhai Lu, Xiao Li, Meng Cui
Bulletin of Chinese Academy of Sciences (Chinese Version)
Ecosystem based ocean management is an important means of building marine ecological civilization. The current marine ecological classification and zoning in China comprehensively sorts out the types and natural geographical characteristics of marine ecosystems, divided the Chinese seas and adjacent waters into several levels of ecological spatial units according to different scales, effectively characterizes the geographical distribution features of marine biological communities and their habitats, and provides effective support for ecosystem based marine management. This study analyzed the practical significance of marine ecological classification and zoning. Based on a review of the development of marine ecological classification and zoning, this …
Making The Most Of Artificial Intelligence And Large Language Models: A Novel Approach For Book Recommendation And Discovery In Medical Libraries, Ivan Portillo, David Carson
Making The Most Of Artificial Intelligence And Large Language Models: A Novel Approach For Book Recommendation And Discovery In Medical Libraries, Ivan Portillo, David Carson
Library Presentations, Posters, and Audiovisual Materials
This poster presentation evaluates the use of Artificial Intelligence and large language models (LLMs) to assist health science libraries in recommending and discovering book titles as part of their collection development. Using pre-determined prompts, the researchers evaluated ChatGPT 4.0, Bing Chat, and Google Bard as recommender systems for book discovery and ranking existing titles.
Towards A New Role Of Mitochondrial Hydrogen Peroxide In Synaptic Function, Cliyahnelle Z. Alexander
Towards A New Role Of Mitochondrial Hydrogen Peroxide In Synaptic Function, Cliyahnelle Z. Alexander
Student Theses and Dissertations
Aerobic metabolism is known to generate damaging ROS, particularly hydrogen peroxide. Reactive oxygen species (ROS) are highly reactive molecules containing oxygen that have the potential to cause damage to cells and tissues in the body. ROS are highly reactive atoms or molecules that rapidly interact with other molecules within a cell. Intracellular accumulation can result in oxidative damage, dysfunction, and cell death. Due to the limitations of H2O2 (hydrogen peroxide) detectors, other impacts of ROS exposure may have been missed. HyPer7, a genetically encoded sensor, measures hydrogen peroxide emissions precisely and sensitively, even at sublethal levels, during …
U.S. International Climate Finance: An Analysis Of Historical Shortfalls And A Proposal For More Equitable Distribution, Maria-Cristina Kealey
U.S. International Climate Finance: An Analysis Of Historical Shortfalls And A Proposal For More Equitable Distribution, Maria-Cristina Kealey
Master's Projects and Capstones
Least-developed countries experienced 69% of deaths from climate disasters over the past 50 years despite comprising only 13% of the world’s population. Low-income and climate vulnerable nations around the world are suffering disproportionately as wealthy, high-emitting countries, such as the U.S., profit from the climate crisis. This research provides a comprehensive overview of past U.S. contributions to international climate finance efforts, assesses the climate finance deficit globally and specifically for developing countries, and proposes a more equitable share of U.S. funding from a quantitative and restorative climate justice approach. The primary analyses included quantifying the U.S. share of global greenhouse …
Supporting South Korea’S Aging Population: How Ai And Iot Acceptance Connects The Young And Old, Bobby Im
Supporting South Korea’S Aging Population: How Ai And Iot Acceptance Connects The Young And Old, Bobby Im
Master's Projects and Capstones
In 2024, South Korea surpassed every other nation by becoming the country with the lowest fertility rate (below 0.7%). Population decline will hinder future ability to care for their aging population and although the government and private corporations are investing millions of dollars on developing Artificial Intelligence-Internet of Things (AI-IoT) devices to support the aging, the acceptance levels and the amount of family support required is undervalued. By examining AI-IoT’s current use and role in South Korea’s public health system this paper shows how intergenerational support helps optimize existing procedures and equipment, increases the level of acceptance and use, and …
From Pixels To Plants: Remote Sensing Of California Invasive Plants, Kenneth Rangel
From Pixels To Plants: Remote Sensing Of California Invasive Plants, Kenneth Rangel
Master's Projects and Capstones
Invasive plants cause significant impacts to ecosystems, the economy, and human health. California has experienced significant plant invasions and is well suited to future invasion because of its Mediterranean climate and human disturbance. Eradication or control of invasive plant species requires a detailed understanding of their spatial distribution, which typically involves on the ground surveys that can be expensive or inconsistent. Remote sensing offers a potential alternative or supplement to in-person invasive plant mapping. This study performed a comparative analysis of 41 remote sensing studies that mapped the distribution of California invasive plants. I found that while high spectral resolution …
Exploring The Evolution Of Altruistic Punishment Using A Pde Model For Multilevel Selection, Daniel Cooney
Exploring The Evolution Of Altruistic Punishment Using A Pde Model For Multilevel Selection, Daniel Cooney
Biology and Medicine Through Mathematics Conference
No abstract provided.
Local Geometry Of Elementary Visual Computations, Peter Neri
Local Geometry Of Elementary Visual Computations, Peter Neri
MODVIS Workshop
Visual operators (e.g. edge detectors) are classically modelled using small circuits involving canonical computations, such as template-matching and gain control. Circuit models explain many aspects of the empirical descriptors that are used to characterize local visual operators, from sensitivity to classification images. Notwithstanding their utility, these models fail to provide a unified framework encompassing the variety of effects observed experimentally, such as the impact of contrast, SNR, and attention on the above descriptors. My goal is to start with a simple, plausible geometrical representation of the perceptual operation carried out by the observer, and to show that this representation is …
Conceptualising And Enacting Pathways To Transformative Climate Justice: Examples From The Philippines, Justin See, Anne Shangrila Fuentes, Emma Porio, Brooke Wilmsen
Conceptualising And Enacting Pathways To Transformative Climate Justice: Examples From The Philippines, Justin See, Anne Shangrila Fuentes, Emma Porio, Brooke Wilmsen
Sociology & Anthropology Department Faculty Publications
Scholarship on climate change adaptation is increasingly moving from incremental responses to climate injustice towards transformative approaches that deliberately change systems to achieve just and equitable outcomes. A transformative understanding of climate justice is relatively new and evidence of how this could be achieved is in its infancy. In this paper, we conceptualise transformative climate justice as comprised of three subcomponents: (1) inclusive justice (seeking to ensure that no one, especially the most vulnerable, is left behind), (2) epistemological justice (drawing upon diverse knowledges and worldviews), and (3) restorative justice (healing and restoration of communities and the environment). We then …
Loneliness And Parental Relationships Among College Students, Alanna James, Charlie Barna
Loneliness And Parental Relationships Among College Students, Alanna James, Charlie Barna
Symposium of Student Scholars
The transition to adulthood is a unique developmental period that involves rapid changes in youths’ individual development and social contexts, which can involve leaving behind familiar support networks (Eeske et al,. 2015). Common experiences during the transition to adulthood, like leaving home, pursuing college, and entering the workforce can leave individuals feeling marginalized and cutoff (Mathews et al,. 2022). Loneliness is a subjective feeling experienced by individuals in all age demographics (Matthews et al,. 2022). Despite a wide array of research on social connectedness interventions for older adults and people with physical disabilities (Zagic et al,. 2021), there is little …
Generating Channel Morphology Data Through Arcgis Pro, Ethan Manigbas
Generating Channel Morphology Data Through Arcgis Pro, Ethan Manigbas
Symposium of Student Scholars
River cross-sections are often extracted using field surveys at measured intervals. This field-oriented approach allows for a tangible relationship between the data and its collector but at the expense of finance, time, labor, and potentially the environment. With the advancement of geospatial tools, such data can be found online, extracted, and even analyzed with contemporary Geographic Information Systems (GIS) in a completely virtual setting, transcending the need for fieldwork in select project topics. We tested this approach with the help of ArcGIS Pro software on the Vishnu Springs headwater stream located in the Western Illinois region of the Upper Mississippi …
An Examination Of The Ways In Which Transdisciplinary Research Could Be Used To Incentivize Local Communities To Combat The Illegal Wildlife Trade, Jessica Rios
FIU Undergraduate Research Journal
The illegal wildlife trade (IWT) is currently one of the most critical conservation concerns, given its direct impact on biodiversity loss, endangering local ecosystems, and adding pressure to all species at a point when they face dangers like deforestation and mass extinctions. This industry also significantly impacts local communities, many of which are compelled to engage in it as a result of their precarious socioeconomic conditions. While effective countermeasures to this global issue have been identified, successful implementation of these countermeasures require diverse disciplines and collaborators. This paper argues that a transdisciplinary approach that converges knowledge and skills from social …
05-13--2024 Orsp Newsletter, Liz Williamson
05-13--2024 Orsp Newsletter, Liz Williamson
ORSP Newsletter
Distinguished Research and Creative Achievement Award, Center for Practical Ethics, DARPA Connect, Air Force Internship
Mending Trust In Ai: Trust Repair Policy Interventions For Large Language Models In Visual Data Journalism, Hangxiao Zhu
Mending Trust In Ai: Trust Repair Policy Interventions For Large Language Models In Visual Data Journalism, Hangxiao Zhu
McKelvey School of Engineering Theses & Dissertations
Trust in Large Language Models (LLMs) emerged as a pivotal concern. This is because, despite the transformative potential of LLMs in enhancing the interpretability and interactivity of complex datasets, the opacity of these models and instances of inaccuracies or biases have led to a significant trust deficit among end-users. Moreover, there is a tendency for people to personify AI tools that utilize these LLMs, attributing abilities and sensibilities that they do not truly possess. This thesis exploits this personification and proposes a comprehensive framework of trust repair policies tailored to address the challenges inherent in LLM annotations within data journalism …