Physical Sciences and Mathematics Commons^™

Stability Analysis And Extension Of A Discrete-Time Dynamical System For Scaffolded Learning, Kris H. Green, Bernard Ricca

Northeast Journal of Complex Systems (NEJCS)

Van Geert and Steenbeek [16] proposed a coupled, delayed, discrete-time deterministic dynamical system to model scaffolded learning. We provide a detailed analysis of their model, whose global dynamics are complicated by the presence of intersecting lines of non-isolated, nonhyperbolic fixed points. We also interpret some of the trajectories in the system that have interesting dynamics in the context of the teacher-student interactions, and propose an extension to the model that simultaneously collapses the lines of fixed points to single, isolated points and is easily interpreted. These results provide the foundation for guiding the collection and integration of experimental data to …

The Evolution Of Global Gold And Copper Trade Networks, Oleksandr Hulianskyi

Northeast Journal of Complex Systems (NEJCS)

Gold and copper have emerged as two of the most vital commodities in global trade. Despite serving distinct purposes, their international trade networks reveal interconnected patterns, critical to understanding the dynamics of global economics. This paper studies these attributes and their evolution during the last 36 years for both metals and finds correlations between them. The first part of the research is focused on the sustainability of networks through efficiency and robustness indexes; the second part is dedicated to interconnectedness – the Louvain and Bayesian SBM algorithms, partition, and modularity instruments are used. Community detection algorithms provide valuable insights into …

Exploring The Potential Of Large Language Models (Llms) To Simulate Social Group Dynamics: A Case Study Using The Board Game "Secret Hitler", Kaj Hansteen Izora, Christof Teuscher

Northeast Journal of Complex Systems (NEJCS)

This study explores the capacity of large language model-powered agents to simulate human-like behavior in multi-agent social systems. Using Secret Hitler — a hidden-role board game centered on trust, deception, and strategic communication — we evaluate how LLM agents navigate dynamic group interactions. Our findings show that agents exhibit human-like behaviors, including strategic temporal adaptation, contextual reasoning, and complex social cognition such as theory of mind and implicit coordination. Notably, 85% of agent decisions factored in at least two other players’ mental states, highlighting their capacity for multi-agent mental state inference. However, they struggled with key aspects of human gameplay, …

Pyrene-Based Hole Transport Materials For Efficient Perovskite Solar Cells, Madiha Irfan, Aamer Saeed, Sania Tahir, Muhammad Rehman Yaqoob, Sohaib Ahmed Zia, Muhammad Usama, Junaid Mukhtar, Usama Farrukh, Sara Rehman

Turkish Journal of Chemistry

In the past few years, perovskite solar cells (PSCs) have gained a lot of attention and become a well-known topic in solar studies due to their lower manufacturing costs and improved efficiencies. Previously utilized hole transport materials (HTMs), such as poly[bis(4-phenyl)(2,4,6-trimethylphenyl)amine] and 2,2ʹ,7,7ʹ-tetrakis(N,N-di-p-methoxyphenylamine)-9,9ʹ-spirobifluorene, are challenging due to their high price, complicated synthesis, limited carrier mobility, and poor device stability. Developing HTMs for PSCs that are inexpensive and high-performance has gained much interest. Currently, many HTMs of organic molecules are used to improve photovoltaic qualities and reduce synthesis costs. Effectively using HTMs is essential for producing the best photovoltaic efficiency in …

Determination Of Mitoxantrone In Environmental Waters: A Spectrophotometric Method With Preconcentration By Salt Saturated Pipette-Tip Micro Solid Phase Extraction Using Molecularly Imprinted Polymer, Sayyed Hossein Hashemi, Massoud Kaykhaii, Ahmad Jamali Keikha, Mina Esmailiun

Turkish Journal of Chemistry

In this research, a fast and simple spectrophotometric method is presented for mitoxantrone determination in various aqueous samples. It utilizes preconcentration by salt saturated pipette-tip micro solid phase extraction with a selective molecularly imprinted polymer adsorbent packed in a micropipette tip. Prior to sample loading, they were saturated with a mixture of NaCl, Mg (NO3)2.6H2O and KNO3 salts, enhancing extraction efficiency by 27.5% compared to salt-free conditions. Key microextraction parameters (amount of molecularly imprinted polymer, sample pH, eluent type/volume, and adsorption/desorption cycles) were optimized using response surface methodology and one-variable-at-a-time methods. The method achieves a low detection limit (0.2 μg …

Removal Of Heavy Metal Iron(Ii) Ions From Wastewater Using An Ultrasonic System With Climbazole-Alcohol, Melek Gökmen Karakaya, Bahdi̇şen Gezer, Abdullah Menzek, Özlem Gündoğdu Aytaç

Turkish Journal of Chemistry

Climbazole (CBZ) is an antifungal active pharmaceutical ingredient often used in antidandruff products. In this study, the ketone group in the racemic CBZ molecule was reduced to synthesize CBZ-alcohol, named 1-(4-chlorophenoxy)-1-(1H-imidazol-1-yl)-3,3-dimethylbutan-2-ol, and the optimum adsorption conditions were investigated for removing iron(II) (Fe2+) ions from wastewater by adsorption from aqueous solutions using the economical and environmentally friendly ultrasonic method. The parameters and levels used in the study were designed using response surface methodology and model equations were derived to optimize the results. The independent variables selected were the initial pH (1, 3, and 5), adsorption time (30, 45, and 60 min), …

Enhanced And Proficient Chitosan Membranes Embedded With Polyaniline-Tio2 Core-Shell Nanocomposites For Fuel-Cell Hydrogen Storage, Mallikarjunagouda Patil, Sridhar N. Mathad, Arun Y. Patil, Abdulaziz Abdulah Al-Kheraif, Sachin Naik, Sajith Vellapally

Turkish Journal of Chemistry

This study investigates the preparation and properties of aniline polymerized in situ onto a nanosized TiO2 surface to form core-shell nanoparticles at ambient temperatures. The in situ polymerization of aniline to polyaniline (PANI), in conjunction with the utilization of an anionic surfactant, was employed in this investigation. The prepared PANI-TiO2 core-shell nanoparticles were integrated with chitosan at a gravimetric ratio and cast as core-shell nanocomposite membranes. The nanocomposites were subjected to structural analysis using Fourier transform infrared spectroscopy and X-ray diffraction patterns. The surface morphologies of the PANI and its nanocomposites were analyzed using scanning electron microscopy. Direct current conductivity …

Removal Of Ddt, Ddd, And Dde From Washing Extracts Of Contaminated Soil Using Polyaniline/Bagasse Composite Material, Hop Quang Nguyen, Bach Xuan Nguyen, Thien Quang Tran, Anh Van Nguyen

Turkish Journal of Chemistry

Polyaniline (PANi) was hybridized with a bagasse (BG) substrate to treat Dichlorodiphenyltrichloroethane (DDT), dichlorodiphenyldichloroethylene (DDE), and dichlorodiphenyldichloroethane compounds, which are persistent organic pollutants (POPs) causing environmental contamination. The PANi/bagasse (PA/BG) composite was synthesized using ammonium persulfate and sulfuric acid, achieving efficiencies ranging from 82.63% to 86.92% with different ratios of PANi monomer to BG. Infrared spectroscopy (IR) and scanning electron microscopy (SEM) were used to characterize the synthesized materials. The adsorption capacities of DDT, DDD, and DDE compounds were investigated under various conditions, including adsorbent type, adsorption time, adsorbent dosage, and adsorbate concentration. Both Langmuir and Freundlich isotherm models were …

1,3,4-Thiadiazole Derivatives As Pi3ks Inhibitor: Design, In Silico Studies, Synthesis, Characterization, And Antimicrobial Evaluation, Dharmvir Singh, Pankaj Kumar, Anoop Kumar, Vivek V. Bhosale, Kalicharan Sharma, Deepak Kumar, Ramchander Khatri, Tanuj Hooda, Amit Lather

Turkish Journal of Chemistry

Since PI3Ks are targeted by a variety of bacterial pathogens, they represent a promising target for host-directed immune therapy and may be beneficial in managing persistent bacterial infections. In the present study, computational studies of 5-(pyridin-4-yl)-1,3,4-thiadiazol-2-amine derivatives for phosphoinositide-3-kinases (PI3Ks) inhibitors were carried out using dock scores, Glide scores, and the MMGBSA dG method, with comparison to standard drugs (ofloxacin and fluconazole). A series of 5-(pyridin-4-yl)-1,3,4-thiadiazol-2-amine derivatives (D1-D17) were synthesized and evaluated for their in vitro antimicrobial activity against both gram-positive and gram-negative bacterial strains, as well as fungal strains, using the tube dilution method. The synthesized compounds were characterized …

Dispersive Micro Solid Phase Extraction Of Cadmium On Mil-53(Al)@Batio3 Nanocomposite From Seafood Samples, Mustafa Soylak, Eda Bora, Furkan Uzcan

Turkish Journal of Chemistry

This study’s main goal was to produce a user-friendly dispersive micro solid phase extraction (dmSPE) technique with a MIL-53(Al)@BaTiO3 nanocomposite for the extraction and preconcentration of cadmium (Cd) in various seafood matrices, followed by using high-resolution continuum source flame atomic absorption spectrometry (HR-CS-FAAS). The MIL-53(Al)@BaTiO3 nanocomposite was synthesized and characterized using a range of techniques, including Fourier-transform infrared spectroscopy, field emission scanning electron microscopy, scanning transmission electron microscopy, X-ray diffraction, and Brunauer-Emmett-Teller analysis. The dmSPE technique involved the dispersion of the MIL-53(Al)@BaTiO3 material in the sample solution, followed by its separation from the sample matrix. The optimized method exhibited a …

Pt-Enhanced Wo3 Nanoparticles For Efficient Hydrogen Production: Synthesis And Electrochemical Evaluation, Merve Akbayrak

Turkish Journal of Chemistry

In this study, Pt/WO3 nanoparticles were synthesized using a simple room-temperature impregnation-reduction method and characterized by advanced techniques including ICP, TEM-EDX, FE-SEM-EDX, and XRD. The ICP-OES analysis confirmed a 1.0 wt. %Pt loading on the WO3 support. TEM and FE-SEM analyses revealed that the Pt nanoparticles were well dispersed with an average size of approximately 3.7 nm. The XRD patterns showed characteristic WO3 peaks without any detectable Pt diffraction peaks, indicating the high dispersion of Pt. Electrochemical evaluations demonstrated that the Pt/WO3 catalyst exhibited outstanding hydrogen evolution reaction (HER) performance, with –27.8 mV vs. RHE onset potential and –37.4 mV …

A Single Batch Synthesis Of Pure Phase Mo2c From Ammonium Molybdate: Pathway And Properties, Melek Cumbul Altay

Turkish Journal of Chemistry

This study presents an original, effective, and environmentally friendly method for synthesizing pure molybdenum carbide (Mo2C) from ammonium molybdate tetrahydrate (AMT) without generating carbon dioxide, a greenhouse gas. The process involves the sequential transformation of AMT to Mo2C, which follows the reaction pathway of (NH4)6Mo7O24→MoO3→MoO2→Mo→Mo2C. This transformation is achieved by strategically altering the gas atmosphere, switching from Ar to H2 at 800 K and then from H2 to CH4 at 1000 K. Thermal analysis, X-ray diffraction (XRD), and scanning electron microscopy (SEM) techniques were used to characterize AMT and the products. Mass measurements were used to follow the conversion of …

Determination Of P53 Biomarker With A Smart Electrochemical Biosensor Based On Brush Polymer-Functionalized Disposable Electrode, Muhammet Aydin

Turkish Journal of Chemistry

A label-less impedimetric biosensor modified with poly(thiophene)-graft-poly(glycidyl methacrylate) polymer (PThi-g-PGM) was manufactured for p53 protein quantification in human serum samples. In this study, PThi-g-PGM polymer was synthesized, and this polymer matrix was coated using the spin-coating technique on the single-use indium tin oxide (ITO) substrate for anti-p53 antibody immobilization. The anti-p53 antibodies with high affinity for p53 proteins were covalently attached onto the PThi-g-PGM-coated electrode surface. In addition, the affinity of anti-p53 for the p53 protein was monitored at a constant frequency. Under optimized conditions, the impedimetric changes were linearly related to the p53 concentrations, ranging from 0.05 to 15 …

Highly Sensitive And Selective Detection Of Klk4 In Human Serum With A Low-Cost Electrochemical Biosensor, Eli̇f Burcu Aydin

Turkish Journal of Chemistry

An ultrasensitive impedimetric immunosensor was fabricated using a poly(glycidyl methacrylate) (PGMA) polymer-covered indium tin oxide (ITO) platform for the quantification of kallikrein 4 (KLK4), an important prostate cancer biomarker. PGMA had suitable biocompatibility and nontoxicity for loading of antiKLK4 antibodies on the ITO substrate surface. Anti-KLK4 biomolecules were directly attached to the PGMA-covered electrode surface via epoxy groups of the PGMA polymer. The preparation method for the PGMA matrix-modified electrode was simple and inexpensive. The proposed biosensor immobilization layers coated on the ITO electrode were characterized with electrochemical techniques. The experimental parameters that affect biosensor response were optimized, and the …

A Contextual Analysis Of The Early Work Of Andrzej Trautman And Ivor Robinson On Equations Of Motion And Gravitational Radiation, Donald Salisbury, Daniel Kennefick

Physics Faculty Publications and Presentations

In the mid-1950s, Andrzej Trautman published a series of papers connected with his dissertation work written under Leopold Infeld. In these, he drew upon the slow motion approximation developed by Infeld, the general covariance-based strong conservation laws enunciated by Bergmann and Goldberg, the Riemann tensor attributes explored by Goldberg and related geodesic deviation exploited by Pirani, the permissible metric discontinuities identified by Lichnerowicz, O'Brien and Synge, and finally Petrov's classification of vacuum spacetimes. With several significant additions he produced a comprehensive overview of the state of research in equations of motion and gravitational waves that was presented in a widely …

Population Genomic Investigation Of The Oregon Slender Salamander (Batrachoseps Wrighti) Reveals Suburban Populations Are Remnants, Not Recent Introductions, Clare Yang, Laura Guderyahn, Charlotte Corkran, Steven Wagner, Lauren M. Chan

Environmental Science and Management Faculty Publications and Presentations

In the face of urbanization and anthropogenic change, some native species persist while others are lost. Understanding native populations, particularly in marginal habitat, can lend insights into the effects of habitat change. The Oregon Slender Salamander (Batrachoseps wrighti) is endemic to the late-successional forests of the Cascade Range in Oregon and has declined due to land use change. In 2007, several populations of the Oregon Slender Salamander were found within highly human-modified localities in the Portland Metropolitan Region. We investigate whether these, and other newly discovered suburban populations, represent remnant populations that persisted in the face of habitat …

On Some Hypergraph Coloring Algorithms, Boyoon Lee

USF Tampa Graduate Theses and Dissertations

Of a given bipartite graph G = (V, E), it is elementary to construct a bipartition in timeO(|V |+|E|). For a given k-graph H = H(k) with k ≥ 3 fixed, Lovász proved that deciding whether H is bipartite is NP-complete. In this thesis, we consider the average running time of this problem. For that, let B_n = (B^(k))_n be the collection (family) of all bipartite k-graphs H on the fixed vertex set [n] = {1, ...., n}. We construct, of a given H ∈ B_n, a bipartition in time averaging O(n^k) over the class B_n. We provide two proofs …

Assessing The Effects Of Design Modifications On The Use Of Wildlife Exits Designed For Endangered Texas Ocelots, Rupesh Maharjan, Jamie E. Langbein, John H. Young, Kevin W. Ryer, Alejandro Fierro-Cabo, Md Saydur Rahman, Richard Kline

School of Earth, Environmental, & Marine Sciences Faculty Publications

Roadside exclusionary fencing is commonly used on highways to prevent wildlife-vehicle collisions. Although it can mitigate wildlife road mortality by limiting their access to the road, it can also create a barrier for wildlife stranded within the right-of-way. On State Highway 100 in Texas, the Texas Department of Transportation installed 10 wildlife exits (WEs) to allow endangered ocelots and other wildlife to escape the fenced roadway and minimize wildlife-vehicle collisions. Our study compared three types of WE designs within the same area from 2019 to 2024 to assess their effectiveness. The first design (Design A) was without a door and …

Advancing Political Science With Machine Learning: A Gaussian Process Approach, Yehu Chen

McKelvey School of Engineering Graduate Student Theses & Dissertations

The proliferation of data in recent decades including including survey, image and text data, has significantly transformed the landscape of political science research. Machine learning methods have played an instrumental role in analyzing these datasets, yet their application poses challenges in areas where political concepts are not directly measurable or the primary focus of inference is causality. In addition, the essence of machine learning algorithms being trained for prediction performance in a black-boxed manner, makes their outputs hardly interpretable and even unappreciated. This dissertation addresses these issues by proposing a novel methodological framework that employs Gaussian Process (GP) models, a …

Re: Revised Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites: Bres No. 158 (Waste Rock Dump) Remedial Action Work Plan (Rawp), Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Physical And Chemical Characterization Of Recycled Glass Sand For Environmental Restoration, Shehbaz Ahmad, Julie P. Vanegas, Nicholas Borne, Natalia Butler, Toby Mendels, Leah A. Michaeloff, Diego Molina, Mary Salvaggio, Samantha Tamayo, Franziska Trautmann

Physics & Astronomy Faculty Publications

Introduction

We rely on coastal resources for food, water, and energy. However, over 75% of U.S. coastlines are eroding. Concurrently, the U.S. recycles less glass than other developed countries, landfilling hundreds of millions of tons every year. Recycled glass sand has many potential benefits over natural sand for combatting land loss; for example, it can be produced with controlled particle size to better resist erosion, making it an excellent—and underutilized—material for environmental restoration.

Objectives

This research compares the physical and chemical properties of recycled glass sand to natural sands (beach and dredge) from the U.S. Gulf Coast to assess environmental …

Refining Participatory Design For Aac Users, Blade Frisch, Keith Vertanen

Michigan Tech Publications

Augmentative and alternative communication (AAC) is a field of research and practice that works with people who have a communication disability. One form AAC can take is a high-tech tool, such as a software-based communication system. Like all user interfaces, these systems must be designed and it is critical to include AAC users in the design process for their systems. A participatory design approach can include AAC users in the design process, but modifications may be necessary to make these methods more accessible. We present a two-part design process we are investigating for improving the participatory design for high-tech AAC …

Classification Of Human Trust In Ai Using Brain Activity Data, Danushka Bandara, Ruhuan Liao, Fatima Chowdhury, Leslie Abbott

Northeast Journal of Complex Systems (NEJCS)

Trust plays a crucial role in human-computer interaction, particularly in scenarios involving artificial intelligence (AI) systems. This study explores the feasibility of using functional near-infrared spectroscopy (fNIRS) data to classify trust levels in human-AI interaction scenarios. A total of 18 participants completed an image classification task with an AI team member while their hemodynamic responses were recorded using fNIRS. Preprocessing of fNIRS data involved motion artifact removal, filtering, and normalization. Exploratory analysis identified significant associations between hemodynamic responses in the prefrontal cortex and trust levels. An across-subject binary trust classification model was developed using machine learning techniques, achieving an F1 …

Coarse-Graining Spiking Reservoirs: Reducing Reservoir Size While Preserving Critical Dynamics, Tucker X. Mastin, Christof Teuscher

Northeast Journal of Complex Systems (NEJCS)

We propose an extension of renormalization into the domain of spiking neural networks, thereby providing a novel framework for coarse-graining neural networks without disrupting their critical properties. The proposed coarse-graining technique merges neurons and synaptic connections based on a graph-theoretic distance derived from synaptic weight strength and is configured to effectively prune the reservoir size while preserving the scale-free spiking dynamics indicative of criticality. Criticality in spiking neural networks may provide information-theoretic advantages by optimizing information processing and sensitivity to input. Using time-series prediction benchmarks, we demonstrate that networks operating at criticality exhibit up to 32% higher prediction accuracy before …

Comparing Methods For Glomerular Filtration Rate Estimation, Xiaoqian Zhu, Tariq Shafi, Keith Norris, Jeannette Simino, Srishti Shrestha, Thomas H. Mosley, Michael E. Griswold, Seth T. Lirette

Data Science Publications

Background: The glomerular filtration rate (GFR), estimated from serum creatinine (SCr), is widely used in clinical practice for kidney function assessment, but SCr-based equations are limited by non-GFR determinants and may introduce inaccuracies across racial groups. Few studies have evaluated whether advanced modeling techniques enhance their performance. Methods: Using multivariable fractional polynomials (MFP), generalized additive models (GAM), random forests (RF), and gradient boosted machines (GBM), we developed four SCr-based GFR-estimating equations in a pooled data set from four cohorts (n = 4665). Their performance was compared to that of the refitted linear regression-based 2021 CKD-EPI SCr equation using bias (median …

Ecological Acclimation: A Framework To Integrate Fast And Slow Responses To Climate Change, Michael Stemkovski, Joey R. Bernhardt, Benjamin Wong Blonder, John B. Bradford, Kyra Clark-Wolf, Laura E. Dee, Margaret E. K. Evans, Virginia Iglesias, Loretta C. Johnson, Abigail J. Lynch, Sparkle L. Malone, Booke B. Osborne, Melissa A. Pastore, Michael Paterson, Malin L. Pinsky, Christine R. Rollinson, Oliver Selmoni, Jason J. Venkiteswaran, Anthony P. Walker, Nicole K. Ward, John W. Williams, Claire M. Zarakas, Peter B. Adler

Wildland Resources Faculty Publications

1. Ecological responses to climate change occur across vastly different time-scales, from minutes for physiological plasticity to decades or centuries for community turnover and evolutionary adaptation. Accurately predicting the range of ecosystem trajectories will require models that incorporate both fast processes that may keep pace with climate change and slower ones likely to lag behind and generate disequilibrium dynamics. However, the knowledge necessary for this integration is currently fragmented across disciplines.

2. We develop ‘ecological acclimation’ as a unifying framework to emphasize the similarity of dynamics driven by processes operating on dramatically different time-scales and levels of biological organization. The …

Enhancing Biosecurity In Tamper-Resistant Large Language Models With Quantum Gradient Descent, Fahmida Hai, Saif Nirzhor, Rubayat Khan, Don Roosan

Computer and Data Science Faculty Publications

This paper introduces a tamper-resistant framework for large language models (LLMs) in medical applications, utilizing quantum gradient descent (QGD) to detect malicious parameter modifications in real time. Integrated into a LLaMA-based model, QGD monitors weight amplitude distributions, identifying adversarial fine-tuning anomalies. Tests on the MIMIC and eICU datasets show minimal performance impact (accuracy: 89.1 to 88.3 on MIMIC) while robustly detecting tampering. PubMedQA evaluations confirm preserved biomedical question-answering capabilities. Compared to baselines like selective unlearning and cryptographic fingerprinting, QGD offers superior sensitivity to subtle weight changes. This quantum-inspired approach ensures secure, reliable medical AI, extensible to other high-stakes domains.

The Nanograv 15 Yr Data Set: Search For Gravitational-Wave Memory, Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Bécsy, Laura Blecha, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Rand Burnette, J. Andrew Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter

Pacific Faculty Work

We present the results of a search for nonlinear gravitational-wave (GW) memory in the NANOGrav 15 yr data set. We find no significant evidence for memory signals in the data set, with a maximum Bayes factor of 3.1 in favor of a model including memory. We therefore place upper limits on the strain of potential GW memory events as a function of sky location and observing epoch. We find upper limits that are not always more constraining than previous NANOGrav results. We show that it is likely due to the increase in common red noise between the 12.5 and 15 …

The Only Constant Is Change: The Role Of Genetic Diversification In Cancer And Beyond, Malgorzata Tyczynska Weh

USF Tampa Graduate Theses and Dissertations

Genetic diversification, the process by which genetic variation arises in a population, is fundamental to evolution by natural selection. Mutation, a central diversification process, fuels adaptation across species, including in cancer. Yet most new mutations are neutral or deleterious on cell fitness, raising the question of how mutation-driven adaptation persists. To explore this paradox, I developed a spatial agent-based model (ABM) in which population fitness emerges from individual cells acquiring mutations at varied rates and with diverse fitness effects. I evaluated model behavior across adaptive states, mutation rates, and distributions of fitness effects. The results show that high mutation rates …

The Link Between Environmental Change And Invasive Species, Marion Murray, Meg Kast

All Current Publications

Climate change and invasive species represent two pressing environmental challenges facing our planet. Each poses a threat to global biodiversity and ecosystem stability, and together, they amplify the impacts of the other. As global temperatures rise and ecosystems are disrupted, new conditions are created that allow invasive species to spread more easily, establish themselves in new areas, and outcompete native species.