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Icipe Monthly Digest – Volume 1, Issue 1, January 2025, International Centre Of Insect Physiology And Ecology (Icipe)

icipe Newsletters

No abstract provided.

Caves, Calculus, And Climate Change: Measuring And Modeling The Discharge Of Biz Falls In Mammoth Cave National Park, Ava Lich

Mahurin Honors College Capstone Experience/Thesis Projects

Climate change poses a significant global challenge, with increasing levels of atmospheric carbon dioxide as a primary driver of rising temperatures and environmental disruptions. Karst systems, such as those in South-Central Kentucky, play a role in sequestering atmospheric CO₂ through the dissolution of limestone, a process that forms unique landscapes while mitigating climate impacts. This study investigates the discharge dynamics of Cascade River in Great Onyx Cave to enhance understanding of the relationship between hydrology and carbon sequestration in karst environments. A barrel weir equipped with pressure transducers was employed to collect and measure water flow, and Torricelli’s law was …

Artificial Intelligence In Health Care: Business Opportunities And Ethical Challenges, Ankita Srivastava, Marco Marabelli, Jeffrey Moriarty

Philosophy Faculty Publications

Artificial intelligence (AI), and in particular generative AI (GAI), are making incredible progress toward automation. The pervasive and invasive nature of these technologies are affecting every industry, and health care is no exception. This paper summarizes insights derived from a panel that the Hoffman Center for Business Ethics and the Center for Health and Business at Bentley University hosted in March 2024. The panel invited three qualified health care professionals: Evan Carey, Susan Persky and John Torous. The panelists are all active in multiple aspects of AI in health care but represent a focus on the key areas of policy …

Determining The Concentrations Of Trace Metals In Caffeinated Beverages By Icp-Aes, Lillian B. Gruss, James O'Donoghue, Maya Schram

Research and Creativity Symposium

A myriad of different caffeinated beverages are advertised and readily available to consumers. Previous research has identified the presence of elevated levels of metals unsafe for consumption in many of these beverages, energy drinks in particularly. We aim to analyze concentrations of chromium, aluminum, and lead, three such metals, in a variety of different caffeinated beverages. A calibration curve relating concentration of chromium, lead and aluminum to corrected peak height for five solutions of standardized concentration was created using a ThermoFisher iCAP 6000 Series. The same instrument was then used to analyze samples of eight different caffeinated beverages. The corrected …

Perspectivism And Wicked Problems: Patterns In The Discovery Process Of Leibniz, Bohr, And Turing, Ernesto Diaz

Natural Sciences and Mathematics | Faculty Authored Dissertations and Theses

This research investigates fundamental patterns in how transformative scientific knowledge emerges and becomes established, examining three pivotal cases: Leibniz's development of calculus, Bohr's formulation of complementarity, and Turing's conceptualisation of computation and artificial intelligence. The study introduces the o-é-c model (Ouverture Ontologique - Épistémè Socialisante - Connaissance Éclairante) to explain how individual insights become integrated into collective knowledge through structured phases of development. Drawing on Minsky's conception of knowledge as mental models for problem-solving and Longino's social epistemology, the research demonstrates how wicked problems—those that resist formulation within existing frameworks—catalyse the creation of new knowledge domains. The model reveals how …

Celebrating Faculty Scholarship 2025, Smith College Libraries

Celebrating Faculty Scholarship: Bibliographies

Scroll down to view the bibliography of selected scholarly and creative work produced by Smith College faculty and submitted by faculty for the 2025 celebration which took place in the Neilson Library Skyline Reading Room, Smith College on April 24, 2025.

Navigating Artificial Intelligence: How Traditional Midwestern Four-Year Higher Education Institution Distance Learning Programs Are Addressing Artificial Intelligence, Eric Samaritoni

Theses, Dissertations and Capstones

AI's rapid evolution and integration into society has had and will continue to influence how distance education programs teach their students profoundly. This study aimed to explore the opinions of higher education distance education Provost administrators, program managers, directors, department chairs, and other subject matter experts on the perceived impact of AI in the classroom. This study used a qualitative, phenomenological approach to examine how AI impacts students, faculty, program delivery, institutional policies, and university budgets. Semistructured interviews were conducted with 13 faculty members meeting the criteria to answer research questions based on their experience or observations. The study used …

Review Of Protein-Protein Interaction Prediction Using Artificial Intelligence, Brian Ng

Seton Hall Biochemistry II Annals of Student Reviews

No abstract provided.

A Metadata Analysis Of Unionid Mussels Of The Greenup Pool Of The Ohio River Using Occupancy Modeling And Species Area Curves, Tyler Mitchell Annarino

Theses, Dissertations and Capstones

Although North America contains the largest diversity of freshwater mussels in the world, only ~24% of species in the United States and Canada have stable populations. This group provides unique hurdles for surveying, and current unionid survey protocols include neither longitudinal studies nor randomization of sites. This project conducts a metadata analysis of freshwater mussels in the Greenup Pool of the Ohio River (GPOR) to answer three questions: 1. Does a combination of longitudinal scope, randomization of sites, and historic methodology of surveying result in useful occupancy/detection models (ODMs) of unionids in large streams at the family level? 2. Does …

Empirical Vulnerability Function Development Based On The Damage Caused By The 2014 Chiang Rai Earthquake, Thailand, Patcharavadee Hong, Masashi Matsuoka

Institute for Innovation & Entrepreneurship Publications

Seismic hazards in Thailand are frequently overlooked in disaster management planning, leading to insufficient research and significant economic losses during earthquake events. The 2014 Chiang Rai earthquake exposed critical vulnerabilities in Thailand's building practices due to widespread non-compliance with building codes and limited preparedness. This exposure prompted the development of empirical vulnerability functions using loss data from 15,031 damaged residences. The study analyzed government compensation records, which were standardized using replacement cost metrics. Three distinct models were developed through probabilistic and possibilistic modeling approaches. Residual analysis demonstrated the superior performance of the possibilistic approach, with the Possibilistic-based Vulnerability Function achieving …

Biological And Chemical Evaluation Of Amide-Based Cjoc42 Derivatives As Potential Gankyrin-Inhibitors For The Treatment Of Breast, Lung, And Liver Cancer, Benita Britton-George

Theses and Dissertations

Gankyrin is an ankyrin-repeat protein overexpressed in certain cancers and is responsible for cell growth and proliferation. Gankyrin is important to the development of many types of cancer, including breast, lung, and liver cancer. Consequently, gankyrin and its various protein-protein interactions, are prospective therapeutic targets for inhibiting the progression of certain cancers. In 2016, the first small molecule inhibitor of gankyrin, cjoc42, was discovered and subsequently demonstrated modest antiproliferative activity against liver cancer cells. Previous work from our lab demonstrated that replacing the sulfonate ester of cjoc42 with an amide group significantly improved gankyrin binding while enhancing antiproliferative activity against …

Neural Congruency Contrastive Learning Framework Validation Using Artificially Created Eeg Data For Dyslexia Research, Jacqueline M. Torres

Theses and Dissertations

Analysis of electroencephalogram (EEG) recordings in children with dyslexia has been commonly used to explore the neural mechanisms underlying reading disorders. Yet, challenges such as low signal-to-noise ratio (SNR), high inter-subject and inter-trial variability, and the inherently multivariate nature of EEG signals hinder the isolation of neural components elicited during reading diagnostic tests. To mitigate these challenges, the neural-congruency analysis framework was recently proposed, leveraging traditional machine learning optimization methods to incorporate domain knowledge about the congruency of neural responses across participants (i.e., consistent neural responses among proficient readers). However, the application of deep learning techniques, specifically contrastive learning, remains …

Investigation Of The Binding Mechanisms Between Naphthenic Acids And Humic Acid Using Raman Spectroscopy And Computational Modeling, Jaelyn N. Palmer

Theses and Dissertations

The oil sand regions in Alberta, Canada have proven to be costly to the environment despite its economic benefits. The toxins produced during oil processing are sent to tailing ponds to be recycled, though often leaking into nearby waterways and soil. Naphthenic acids, NAs, are one of the most common toxins produced and have shown to be toxic to aquatic life, animals, and humans. As there is dissolved organic matter in tailing ponds and surrounding environments, tailing ponds often lead to NAs coming in contact with organic material. Humic acid, HA, is a major soil component that has been suspected …

The Influence Of Generative Artificial Intelligence On Leadership: An Exploration Of Technology Professionals' Perceptions Regarding Leadership, Adaptation, And Organizational Culture In The Digital Age, Paul Thomas Herdman

Theses, Dissertations and Capstones

The emergence of generative artificial intelligence (GenAI) has introduced new complexities for organizational leadership, requiring technology professionals to adapt in real time to evolving digital tools, strategic demands, and cultural dynamics. Although prior research has examined AI’s broad influence on business processes, few studies have explored how technology leaders experience and interpret the leadership challenges and opportunities arising from GenAI. This qualitative dissertation addressed that gap by investigating the perceptions of senior technology professionals regarding GenAI’s influence on leadership roles, competencies, decision making, and organizational culture. Using Lanigan’s (1977) phenomenological method of human science, this study explored the lived experiences …

Thyroid Carcinoma Recurrence Prediction Using Artificial Intelligence On Prognosis Parameter, Supawat Suntornlimsiri

Chulalongkorn University Theses and Dissertations (Chula ETD)

Papillary thyroid carcinoma (PTC) is the most common subtype of thyroid malignancy and is increasingly diagnosed worldwide. Although typically localised, PTC exhibits a notable risk of bilateral involvement, with contralateral disease occurring in up to 44 percent of cases. While completion thyroidectomy is recommended in selected high-risk scenarios, it carries potential complications, making accurate prediction of contralateral involvement essential. This study investigates the utility of classical statistical methods and machine learning (ML) algorithms—Support Vector Machines (SVM), Extreme Gradient Boosting (XGBoost), and Random Forest (RF)—in predicting contralateral PTC using a retrospective dataset of 122 lobectomy patients. ML models, especially RF with …

Restored Wetlands Show Rapid Vegetation Recovery And Substantial Surface-Water Expansion, Thilina D. Surasinghe, Yin-Hsuen Chen, Kunwar K. Singh

Center for Geospatial Science, Education & Analytics Faculty Publications

Ecological restoration is essential for improving the ecological integrity of degraded ecosystems to enhance ecosystem services and biodiversity. In this study, we assessed the effectiveness of wetland restoration on retired cranberry farms by analyzing vegetation recovery and surface-water dynamics using the enhanced vegetation index (EVI) and normalized difference water index (NDWI) derived from Sentinel-2 satellite imagery. To quantify temporal dynamics of both vegetation recovery and surface-water cover, we identified the spectral distinctions among restored wetland plant communities. Our results indicated the emergence of distinct plant communities upon restoration. Restored wetlands in general showed significant and progressive vegetation recovery and expanding …

Möbius Transformations And Hyperbolic Geometry In The Upper Half-Plane, Emma Bunch

Mahurin Honors College Capstone Experience/Thesis Projects

In this thesis, we discuss several properties of Möbius transformations and hyperbolic geometry, a type of non-Euclidean geometry, in the upper half-plane using tools of complex analysis. We begin with preliminaries for our work, comprising the stereographic projection, the representation of circles and lines in the complex plane, conformal maps, and a result on cross-products, which we include for further development. We proceed to Möbius transformations and discuss their properties, cross-ratios, and various mappings. We additionally provide useful calculations. Lastly, we conclude with the hyperbolic metric in the upper half-plane and explore hyperbolic distance, including its invariance under Möbius transformations. …

Mary Lowe Good And The Development Of Catalytic Solutions For Industrial Processes, Eleanor Heller-Walker

Natural Sciences Student Research Presentations

To study catalysts, Good used Mössbauer spectroscopy, a nuclear technique that measures how atoms absorb and emit gamma rays (“Mössbauer Spectroscopy”). This method helps scientists identify oxidation states, chemical environments, and structural changes in metal containing materials, especially iron.

This data revealed exactly how active metal sites in catalysts behave when exposed to exhaust gases, for example, when carbon monoxide (CO) or nitrogen oxides (NOₓ) contact the surface of the metal.

Effects Of In-Stream Large Woody Debris Management On Riparian Salamander Population Dynamics, Sydney Hermann

Theses, Dissertations and Capstones

The addition of large woody debris (LWD) into streams is an increasingly common habitat restoration method used to support brook trout populations and other sensitive freshwater species. Wood jams create localized reductions of water velocity, increase organic matter retention, intensify overbank flows, and promote habitat heterogeneity. These changes enhance interaction between the floodplain and the stream which can influence forest habitat variables such as leaf litter, soil pH, moisture, and invertebrate abundance. Salamander demographics reflect the stability of these forest habitat variables, and population declines can be indicative of environmental disturbance, stress, or change. Evaluating how this trout-targeted management effects …

Transition Metal Alkoxide Complexes Synthesis Using Thallium Reagents And Design Of Iron(Ii)-Alkoxide Carbene Complexes And Their Reactivity, Lakshani Wathsala Kulathungage

Wayne State University Dissertations

ABSTRACTTRANSITION METAL ALKOXIDE COMPLEXES SYNTHESIS USING THALLIUM REAGENTS AND DESIGN OF IRON(II)-ALKOXIDE CARBENE COMPLEXES AND THEIR REACTIVITY by LAKSHANI WATHSALA KULATHUNGAGE May 2025 Advisor: Dr. Stanislav Groysman Major: Chemistry (Inorganic) Degree: Doctor of Philosophy

This dissertation focuses on the synthesis and reactivity of transition metal and main group metal alkoxide complexes. The dissertation began with exploring a novel, efficient synthetic route towards transition metal alkoxides involving thallium reagents. A novel dimeric Tl2(OCtBu2Ph)2 complex was synthesized in the reaction between a lithium alkoxide and thallium precursor TlPF6. Tl2(OCtBu2Ph)2 served as a convenient precursor to the formation of old and new transition …

Data For Research Collaboration And Co-Authorship In The Gulf Of Mexico, 2000–2018, Owen Temby, Dongkyu Kim, Juliet Vallejo

Datasets

This dataset documents research collaboration and co-authorship among organizations engaged in environmental science in the Gulf of Mexico from 2000 to 2018. The data were compiled through bibliometric analysis of scientific articles, with each record containing publication-level and author affiliation information, as well as institutional and country codes. The dataset provides the basis for network analysis of collaborative patterns among institutions in the United States, Mexico, and Cuba. Variable definitions and data structure are described in the accompanying README file.

Technology-Facilitated Abuse (Tfa): Analyzing Trends, Tactics, And Victim Responses On Reddit, Solomon G. Dandekar

Computer Science and Engineering Theses - Archive

The increasing integration of technology into daily life has provided numerous benefits but also significant risks, particularly when exploited by malicious actors in cases of technology facilitated abuse (TFA). Per- petrators can misuse technology to monitor, control, and intimidate their partners, random strangers, etc. exacerbating cycles of abuse. From location tracking and cellphone surveillance to smart device manipula- tion, spyware, and doxing, digital tools have become powerful instruments for coercion and control. This research project investigates the role of technology in stalking and harassment by analyzing discussions on a relevant subreddit where victims share their experiences, strategies for coping, and …

A Deep Reinforcement Learning Framework For Sequential Art Creation, Asmin Pothula

Computer Science and Engineering Theses - Archive

Most computational art systems rely on generative models that produce a complete artwork in a single pass, without capturing the gradual, decision-driven process through which human artists construct visual pieces. Prior research in sequential, stroke-based image generation, including differentiable neural painters and model-based reinforcement learning agents, has explored step-by-step creation, but these systems typically aim to reconstruct the input image within the same visual representation space, closely matching brushstrokes, textures, or colors to the target. In contrast, this thesis investigates sequential art creation in a different artistic representation, where the final artwork does not share the same visual form as …

Scalable Approaches Towards Characterizing And Mitigating Emerging Phishing Scams, Sayak Saha Roy

Computer Science and Engineering Dissertations - Archive

Phishing scams are among the most dangerous and persistent forms of cybercrime, leveraging social engineering to exploit human behavior and obtain sensitive information, leading to widespread identity theft and data breaches. In the past year, these attacks have resulted in financial losses exceeding $10 billion in the United States alone. As phishing scams continue to evolve, they have not only expanded in scale but also grown in sophistication, spreading rapidly across social media and employing adversarial techniques to evade detection by anti-scam tools. The situation is further exacerbated by the availability of advanced phishing kits, and more recently, generative AI, …

An Evaluation On The Uncertainty For The Routine Of Dosimetry Calibration At The National Secondary Standard Dosimetry Laboratory, Albania, Klotilda Nikaj

International Journal of Nuclear Security

Every employer must, in relation to any work with ionizing radiation that they undertake, take all necessary steps to restrict so far as is reasonably practicable the extent to which their employees and other persons are exposed to ionizing radiation. This goal leads to an increased awareness about the proper maintenance and annual calibration of the personal dosimeters to ensure an accurate and precise radiation dose. The present work has described the performance of the radiation system of the ¹³⁷Cs source at the National Secondary Standard Dosimetry Laboratory (SSDL), located at the Institute of Applied Nuclear Physics at the …

Quantifying Multidimensional Effects Of Physicochemical Parameters On Pfas Adsorption Using A Hybrid Response Surface Methodology-Machine Learning Approach, Harsh V. Patel, Jazmin Green, John Park, Stephanie Luster-Teasley Pass, Renzun Zhao

Engineering Management & Systems Engineering Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) contamination has posed a significant environmental and public health challenge due to their ubiquitous nature. Adsorption has emerged as a promising remediation technique, yet optimizing adsorption efficiency remains complex due to the diverse physicochemical properties of PFAS and the wide range of adsorbent materials. Traditional modeling approaches, such as response surface methodology (RSM), struggled to capture nonlinear interactions, while standalone machine learning (ML) models required extensive datasets. This study addressed these limitations by developing hybrid RSM-ML models to improve the prediction and optimization of PFAS adsorption. A comprehensive dataset was constructed using experimental adsorption data, …

Generative Artificial Intelligence: Legal Ethics Issues, Kincaid Brown

Law Librarian Scholarship

Generative artificial intelligence (GenAI) is transforming nearly every sector of society including the practice of law. Legal professionals are increasingly using AI tools for research, drafting, contract review, and even predicting judicial outcomes with as many as one third of respondents to a survey using GenAI daily. But with this rapid adoption come questions that go beyond efficiency and instead point to the core of legal ethics including issues such as competence, confidentiality, and professional judgment.

“Lost-In-The-Later”: Framework For Quantifying Contextual Grounding In Large Language Models, Yufei Tao, Adam Hiatt, Rahul Seetharaman, Ameeta Agrawal

Computer Science Faculty Publications and Presentations

Large language models (LLMs) are capable of leveraging both contextual and parametric knowledge but how they prioritize and integrate these sources remains underexplored. We introduce CoPE, a novel framework for systematically quantifying contextual grounding in LLMs. CoPE distinguishes between contextual knowledge (CK) and parametric knowledge (PK), enabling fine-grained attribution across languages and tasks. Using our newly created MultiWikiAtomic dataset in English, Spanish, and Danish, we analyze how LLMs integrate context, prioritize information, and incorporate PK in open-ended question answering. We find that across models and languages, only around 50 to 76 percent of outputs are grounded in the given context, …

Modeling Wild Rice Bed Health: A Dual Metric Approach For Bed Strength And Invasive Impact, Seth Sisneros-Martinez

Journal of Earth and Life Science

Wild rice (mannoomin; Zizania palustris) is an aquatic grain that grows in slow-moving rivers and shallow bays throughout northern Minnesota. In Headquarters Bay on Leech Lake, wild rice has served as a cultural staple for Indigenous communities for centuries. However, its population has declined in recent years due to multiple environmental issues. One potential contributor is Eurasian watermilfoil (Myriophyllum spicatum; EWM), an invasive species that forms dense mats capable of outcompeting native aquatic vegetation, including wild rice. EWM was first recorded on the southern shoreline of Leech Lake in 2005 and has since become widespread. This study …

Force Of Nature (2024) By Ann E. Burg, Maughn Rollins Gregory

Middle Grades Books

Rachel Carson launched the modern environmental movement with books that combined detailed observations of the natural world, scientific research, and philosophical reflection on humanity’s relationship with nature — all conveyed in poetic language. Ann E. Burg’s fictional biography-in-verse Force of Nature shows how these habits of observation, questioning, reflection, and expression began in Carson’s childhood, and invites readers to follow her lines of inquiry. Can we provide for human well-being without sacrificing the well-being of non-human life? Can we provide for the well-being of certain human populations without sacrificing the well-being of others? Can we indulge our wonder about, and …