Physical Sciences and Mathematics | Open Access Articles

Delineating Ecologically Distinct Groups For Annual Cycle Management Of A Declining Shorebird, E. C. Knight, J. Carlisle, A. J. Boyce, D. Bradley, P. Cimprich, S. Coates, L. A. Powell Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Go to article

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

icipe Newsletters

No abstract provided.

Go to article

“Science Belongs Everywhere”: Outlooks On Post-Secondary Stem Education For Correctional Centers In Virginia, Shelita R. Augustus

Division of Strategic Enrollment Management and Student Success Publications

Virginia has an incarceration rate of 679 per 100,000 residents, the highest among independent democratic nations. This scoping review examines perspectives on post-secondary STEM education to promote STEM education within Virginia's correctional facilities, assesses programs to improve rehabilitation, reduce recidivism, and address systemic inequalities by developing the scientific potential of incarcerated individuals. The review finds that while STEM education in correctional facilities faces limitations, its potential benefits are being realized nationwide. Virginia has made strides through initiatives like House Bill 2158, which aims to expand higher education access for incarcerated individuals. Examples such as the programs at J. Sargeant Reynolds …

Go to article

Floquet Theory For First-Order Delay Equations And An Application To Height Stabilization Of A Drone’S Flight, Martin Bohner, Alexander Domoshnitsky, Oleg Kupervasser, Alex Sitkin

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we proposed a version of the Floquet theory for delay differential equations. We demonstrated that very natural assumptions for control in technical applications can lead us to a one-dimensional fundamental system. This approach allowed researchers to work with classical methods used in the case of ordinary differential equations. On this basis, new original unexpected results on the exponential stability were proposed. For example, in the equation x' (4)+a(t)x(t—-T(7)) = 0, t € [0, co), we avoided the assumption on the smallness of the product sup,j9,.) 41 SUP;< {9,00) TD) < 3/2 for asymptotic stability. We obtained that in the case of w-periodic coefficient and delay, the fact that the period w was situated in a corresponding interval can lead to exponential stability. We then applied our new tests of stability to the stabilization of a drone's flight, where smallness of the noted above product could not be achieved from a technical point of view. For an equation with periodic coefficient and delay, we got a formula of the solution's representation on the semiaxis.

Go to article

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 …

Go to article

Population Increases Of The Threatened American Burying Beetle (Nicrophorus Americanus) Linked To Large-Scale Collaborations In A Working Lands Ecoregion, C. P. Roberts, A. K. Ludwig, D. T. Fogarty, E. F. Stuber, Daniel R. Uden, T. L. Walker Jr., D. Twidwell

School of Natural Resources: Faculty Publications

No abstract provided.

Go to article

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 …

Go to article

Projecting The Loss Of Shark Tooth Island From Sea Level Rise And Land Subsidence, Katherine L. Stoneman, Holly Anthony

Research and Creativity Symposium

Shark Tooth Island, a popular recreational location on the Virginia side of the lower Potomac River, is disappearing. The causes include sea level rise, groundwater withdrawal, and isostatic adjustment. Given the island’s popularity, this presents a unique opportunity to educate the public about real impacts of climate change in a region with climate change denialism.

Go to article

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 …

Go to article

Devising Optimized Maize Nitrogen Stress Indices In Complex Field Conditions From Uav Hyperspectral Imagery, J. Li, Y. Ge, J. Gamon, L. A. Puntel Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Go to article

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 …

Go to article

Gompertz Distribution On Time Scales, Wasiu Sule

Theses, Dissertations and Capstones

We shall investigate Gompertz dynamic equations within the context of time scales calculus, by exploring the mathematical foundations and applications of the Gompertz model, which is commonly used to describe growth phenomena in various fields such as biology and economics. This research seeks to analyze the Gompertz cumulative distribution functions (CDF) and probability density functions (PDF) across different time scales, including the real numbers R and integer multiples hN. Probability techniques will be used to derive the CDF and PDF associated with the Gompertz dynamic equations, and we will examine how varying the time scale impacts the characteristics …

Go to article

A Numerical Method For Coefficient Reconstruction Of A Periodic Inverse Source Problem, Robert Ireri

Theses, Dissertations and Capstones

This thesis investigates a numerical method for solving the periodic inverse source problem governed by the Helmholtz equation. The problem involves reconstructing an unknown periodic source term from boundary measurements, which is inherently ill-posed. To address this challenge, we employ a quasi-reversibility method (QRM) combined with a basis function expansion to stabilize the inverse reconstruction. The forward problem is solved using the Lippmann-Schwinger equation, discretized via the trapezoidal rule, and the inverse problem is formulated as a constrained least-squares minimization. The discretized system is efficiently solved using sparse matrix techniques and regularization strategies. Numerical experiments demonstrate the robustness of the …

Go to article

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.

Go to article

Discrete Fractional Gompertz Models, Rebecca Oduro

Theses, Dissertations and Capstones

This thesis explores the theory and application of discrete fractional Gompertz models—systems that integrate fractional difference operators into the classical Gompertz growth paradigm. By doing so, these models capture both discrete time steps and the long-range memory effects characteristic of fractional calculus. After outlining the fundamental notions of discrete calculus, discrete fractional sums and differences, and related special functions such as the discrete Mittag–Leffler function, we derive various fractional Gompertz-type equations. We prove the existence and uniqueness of solutions to these fractional difference equations, often employing discrete analogues of standard solution methods like variation of constants. We also investigate the …

Go to article

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 …

Go to article

Artificial Intelligence In Enzyme Engineering, Margret Pagare

Seton Hall Biochemistry II Annals of Student Reviews

No abstract provided.

Go to article

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

Seton Hall Biochemistry II Annals of Student Reviews

No abstract provided.

Go to article

Artificial Intelligence In Aptamer Design: Current Research In Machine Learning, Jennifer L. Matthews

Seton Hall Biochemistry II Annals of Student Reviews

No abstract provided.

Go to article

Note From The Editor, Gregory Wiedman Ph.D.

Seton Hall Biochemistry II Annals of Student Reviews

No abstract provided.

Go to article

How Ai Has Improved And Built Upon Previous Methods In Determining Protein Structures And Folding, Alexander J. Bulsiewicz

Seton Hall Biochemistry II Annals of Student Reviews

No abstract provided.

Go to article

Successfully Navigating The Disruption Ai Will Bring To Survey Research, David M. Rothschild, Trent D. Buskirk, Stephanie Eckman, D. Sunshine Hillygus, Frauke Kreuter, David Lazer

Information Technology & Decision Sciences Faculty Publications

Surveys are a core methodological tool in government, industry, and academia, providing essential data for theory development and evidence-based decision-making. As artificial intelligence continues its rapid advancement, it stands to fundamentally transform the entire survey lifecycle - from design and administration to analytics and reporting. Previous transitions to new technologies, such as telephone, internet, and non-probability surveys, led to divisions within the survey research community with real consequences for both the trajectory of research and trust in the industry. We believe the survey community should take proactive steps now to avoid similar challenges with AI integration. Specifically, our paper examines …

Go to article

A Unified Concept Of Periodicity On Any Time Scale And Applications, Martin Bohner, Jaqueline G. Mesquita, Sabrina H. Streipert

Mathematics and Statistics Faculty Research & Creative Works

We introduce a novel definition of periodicity on arbitrary time scales, dependent on a strictly increasing and differentiable function. This removes the commonly used and restrictive assumption of a periodic time scale to define periodic functions. Our new definition furthermore allows for a wider class of functions to be studied using the theory of periodic systems. After providing crucial properties of these periodic functions, such as the translation invariance of integrals of periodic functions, we apply the concept of this new periodicity to linear dynamic equations. We provide necessary and sufficient conditions for a linear dynamic equation to have such …

Go to article

Energy Dependence Of Polarized Γγ → E+E− In Peripheral Au + Au Collisions At √Snn = 54.4 And 200 Gev With The Star Experiment At Rhic, Star Collaboration

Physics and Astronomy Faculty Publications

We report the differential yields at mid-rapidity of the Breit-Wheeler process (γ γ → e+e−) in peripheral Au + Au collisions at √s NN = 54.4 and 200 GeV with the STAR experiment at the Relativistic Heavy Ion Collider (RHIC), as a function of energy √s NN , e+e− transverse momentum pT , p2 T , invariant mass Mee, and azimuthal angle. In the invariant mass range of 0.4 < Mee < 2.6 GeV/c2 at low transverse momentum (pT < 0.15 GeV/c), the yields increase while the pair √〈p2 T〉 decreases with increasing √s NN , a feature that is correctly predicted by the QED calculation. The energy dependencies of the measured quantities are sensitive to the nuclear form factor, infrared divergence and photon polarization. The data are compiled and used to extract the charge radius of the Au nucleus.

Go to article

Demand Characterization For Real-Time Cyber-Physical Systems: Algorithms, Analysis, And Applications To Control Systems, Aaron Thomas Willcock

Wayne State University Dissertations

This work adds novel co-design, demand characterization, and utilization bounding tools to the real-time community toolbox for the effective deployment of real-time, safety-critical cyber-physical systems. Specifically, this work exploits system dynamics for improved real-time analysis in: software-based short circuit detection, intelligent power distribution systems (IPDSes), robotic arm motion, and internal combustion engines (ICEs). In short detection, inductor sub-saturation back-EMF is exploited to link circuit size and task utilization. In the IPDS, sub-maximal loading is used to bound system utilization for variable-frequency current monitoring tasks. For the robotic arm, repeated motion and error-dependent worst-case execution time are leveraged for faster schedulability …

Go to article

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 …

Go to article

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 …

Go to article

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 …

Go to article

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 …

Go to article

Qualitative Analysis Via Network Models Of Human Dynamin-1 Throughout Gtp Hydrolysis, Kevin Brian Schulman

Theses and Dissertations

This thesis aims to elucidate the molecular mechanisms by which nucleotide binding dictates the intrinsic dynamics and to understand the functional conformational changes of Human Dynamin-1 during the GTP hydrolysis cycle through the use of Elastic Network Models (ENM). A comprehensive understanding of this process is crucial given dynamin's role in clathrin-mediated endocytosis (CME). The research utilized both experimentally derived crystal structures and AlphaFold-predicted structures of dynamin, specifically examining the GTPase and Bundle Signaling Element (BSE) domains across nucleotide-free, GTP-bound, GDP-bound, and transition states. The essential features of the research methodology involved a multi-scale computational approach. Qualitative analyses were performed …

Go to article

Full-Text Articles in Physical Sciences and Mathematics

Delineating Ecologically Distinct Groups For Annual Cycle Management Of A Declining Shorebird, E. C. Knight, J. Carlisle, A. J. Boyce, D. Bradley, P. Cimprich, S. Coates, L. A. Powell Et Al.

School of Natural Resources: Faculty Publications

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

icipe Newsletters

“Science Belongs Everywhere”: Outlooks On Post-Secondary Stem Education For Correctional Centers In Virginia, Shelita R. Augustus

Division of Strategic Enrollment Management and Student Success Publications

Floquet Theory For First-Order Delay Equations And An Application To Height Stabilization Of A Drone’S Flight, Martin Bohner, Alexander Domoshnitsky, Oleg Kupervasser, Alex Sitkin

Mathematics and Statistics Faculty Research & Creative Works

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

Population Increases Of The Threatened American Burying Beetle (Nicrophorus Americanus) Linked To Large-Scale Collaborations In A Working Lands Ecoregion, C. P. Roberts, A. K. Ludwig, D. T. Fogarty, E. F. Stuber, Daniel R. Uden, T. L. Walker Jr., D. Twidwell

School of Natural Resources: Faculty Publications

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

Philosophy Faculty Publications

Projecting The Loss Of Shark Tooth Island From Sea Level Rise And Land Subsidence, Katherine L. Stoneman, Holly Anthony

Research and Creativity Symposium

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

Research and Creativity Symposium

Devising Optimized Maize Nitrogen Stress Indices In Complex Field Conditions From Uav Hyperspectral Imagery, J. Li, Y. Ge, J. Gamon, L. A. Puntel Et Al.

School of Natural Resources: Faculty Publications

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

Gompertz Distribution On Time Scales, Wasiu Sule

Theses, Dissertations and Capstones

A Numerical Method For Coefficient Reconstruction Of A Periodic Inverse Source Problem, Robert Ireri

Theses, Dissertations and Capstones

Celebrating Faculty Scholarship 2025, Smith College Libraries

Celebrating Faculty Scholarship: Bibliographies

Discrete Fractional Gompertz Models, Rebecca Oduro

Theses, Dissertations and Capstones

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

Theses, Dissertations and Capstones

Artificial Intelligence In Enzyme Engineering, Margret Pagare

Seton Hall Biochemistry II Annals of Student Reviews

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

Seton Hall Biochemistry II Annals of Student Reviews

Artificial Intelligence In Aptamer Design: Current Research In Machine Learning, Jennifer L. Matthews

Seton Hall Biochemistry II Annals of Student Reviews

Note From The Editor, Gregory Wiedman Ph.D.

Seton Hall Biochemistry II Annals of Student Reviews

How Ai Has Improved And Built Upon Previous Methods In Determining Protein Structures And Folding, Alexander J. Bulsiewicz

Seton Hall Biochemistry II Annals of Student Reviews

Successfully Navigating The Disruption Ai Will Bring To Survey Research, David M. Rothschild, Trent D. Buskirk, Stephanie Eckman, D. Sunshine Hillygus, Frauke Kreuter, David Lazer

Information Technology & Decision Sciences Faculty Publications

A Unified Concept Of Periodicity On Any Time Scale And Applications, Martin Bohner, Jaqueline G. Mesquita, Sabrina H. Streipert

Mathematics and Statistics Faculty Research & Creative Works

Energy Dependence Of Polarized Γγ → E+E− In Peripheral Au + Au Collisions At √Snn = 54.4 And 200 Gev With The Star Experiment At Rhic, Star Collaboration

Physics and Astronomy Faculty Publications

Demand Characterization For Real-Time Cyber-Physical Systems: Algorithms, Analysis, And Applications To Control Systems, Aaron Thomas Willcock

Wayne State University Dissertations

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

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

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

Theses and Dissertations

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

Theses and Dissertations

Qualitative Analysis Via Network Models Of Human Dynamin-1 Throughout Gtp Hydrolysis, Kevin Brian Schulman

Theses and Dissertations