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Articles 73621 - 73650 of 1791792
Full-Text Articles in Entire DC Network
The Survivor: An Anatomy Of Life In The Death Camps, Terrence Des Pres
The Survivor: An Anatomy Of Life In The Death Camps, Terrence Des Pres
Hannah Arendt Marginalia - All
New York : Oxford University Press, 1976
Call #: D810.J4 D474 1976
Contains edited markings, marginalia, and is an advance proof copy that is uncorrected
PDF Information: 69 pages – 4.6MB
Extended-Release Buprenorphine With Bupivacaine Effectively Provides Postoperative Analgesia In A Mouse Laparotomy Model, Monika K. Huss, Amber Kerk, Renee Cotton, Helen Chum, Michael Hsieh, Katechan Jampachaisri, Patrick Sharp, Cholowat Pacharinsak
Extended-Release Buprenorphine With Bupivacaine Effectively Provides Postoperative Analgesia In A Mouse Laparotomy Model, Monika K. Huss, Amber Kerk, Renee Cotton, Helen Chum, Michael Hsieh, Katechan Jampachaisri, Patrick Sharp, Cholowat Pacharinsak
The Thai Journal of Veterinary Medicine
Multimodal analgesia is widely encouraged for major survival surgery. This facilitates lower doses of individual drugs, thereby reducing side effects. Extended-release analgesics offer sustained analgesia coverage, prevent drug dosing nadirs, and reduce stress. Studies evaluating multimodal and extended-release analgesia combinations for major survival surgery in mice are limited. We compared the analgesic effect of bupivacaine and extended-release buprenorphine (Bupi-ER) to bupivacaine and buprenorphine HCl (Bupi-HCl). We hypothesized that preoperative Bupi-ER would provide more effective analgesia than Bupi-HCl. Mice were randomly assigned to 1 of 2 treatment groups: bupivacaine (2 mg/kg, local infiltration, once) with either 1) extended-release buprenorphine (0.6 mg/kg, …
Cowboy Narrative - Edward W. Riley, Sheldon F. Gauthier, Edward W. Riley
Cowboy Narrative - Edward W. Riley, Sheldon F. Gauthier, Edward W. Riley
Writers' Program of the Work Projects Administration in the State of Texas, Fort Worth City Guide and History Draft Records
A transcript of a Cowboy Narrative, or Ranglelore, interview conducted by Sheldon F. Gauthier for the Works Progress Administration's Federal Writers' Project in the 1930s with former cowboy Edward W. Riley. Riley was born prior to the Civil War in Lawrence County, Tennessee. His father moved the family to Hill County, Texas in 1877, where they became cattle ranchers. In his interview, Riley discusses the set up of his family's farm, including dealing with wild game, building farm structures, and planting crops. He also describes the extralegal "committees" that formed to deal with rustlers, the coming of fencing and wire …
Cowboy Narrative - C. E. Stetler, Woody Phipps, C. E. Stetler
Cowboy Narrative - C. E. Stetler, Woody Phipps, C. E. Stetler
Writers' Program of the Work Projects Administration in the State of Texas, Fort Worth City Guide and History Draft Records
A transcript of a Cowboy Narrative, or Rangelore, interview conducted by Woody Phipps for the Works Progress Administration's Federal Writers' Project in the 1930s with former cowboy C. E. Stetler. Stetler was born in 1876 on a farm in Rhome, Iowa. At 10, he began working for a butcher in Burlington, Iowa as a cowhand. Later, he moved to Wichita, KS and then eventually to Fort Worth, where he worked both as a cowhand and as a cattle salesman for the Evans-Snyder-Buel Commission Company. In his interview, he discusses stampedes, rustling, and notes the evolution of cowhand's work in the …
The Unwritten Philosophy And Other Essays, Francis M. Cornford
The Unwritten Philosophy And Other Essays, Francis M. Cornford
Hannah Arendt Marginalia - All
Cambridge: University Press, 1950
Call #: B1618.C763 U5
Contains underlining and marginal lining
PDF Information: 46 pages – 27.7 mb
The Constitution And What It Means Today, Edward Samuel Corwin
The Constitution And What It Means Today, Edward Samuel Corwin
Hannah Arendt Marginalia - All
Princeton, N.J., Princeton University Press [1958]
Call#: KF4550 .C64 1958
Contains underlining and marginal lining
PDF Information: 36 pages – 3.1 MB
Effects Of Aerobic Exercise On Physical Fitness In Obesity Using Fox Vs. Tanaka’S Maximum Heart Rate And Percentage Vs. Karvonen Methods, Maninthorn Rugbumrung, Tavarintorn Rukbumrung, Sittiwit Impanya, Adison Thurayot
Effects Of Aerobic Exercise On Physical Fitness In Obesity Using Fox Vs. Tanaka’S Maximum Heart Rate And Percentage Vs. Karvonen Methods, Maninthorn Rugbumrung, Tavarintorn Rukbumrung, Sittiwit Impanya, Adison Thurayot
International Journal of Exercise Science
International Journal of Exercise Science 18(8): 695-711, 2025. The intensity of aerobic exercise is influenced by maximum heart rate (MHR), which can be assessed through an incremental exercise test. However, this method requires specialized equipment and a level of fitness that individuals who are sedentary or overweight may lack. Therefore, estimating MHR using formulas is essential. Various methods exist to calculate MHR, but their effects on fitness in obese individuals remain unclear. This study aimed to investigate the effects of aerobic exercise using different intensity calculation methods, specifically comparing Fox's and Tanaka's maximum heart rate (MHR) equations, as well as …
Wireless Sensor Networks In Renewable Energy Monitoring: A Comprehensive Survey Of Protocols And Applications, Atheer Yousif Oudah, Lina M. Shaker
Wireless Sensor Networks In Renewable Energy Monitoring: A Comprehensive Survey Of Protocols And Applications, Atheer Yousif Oudah, Lina M. Shaker
AUIQ Technical Engineering Science
The global shift to sustainable energy has heightened the demand for smart, robust, and efficient monitoring systems. Wireless Sensor Networks (WSNs) play a key role by enabling real-time data collection, decentralized control, and flexible communication in renewable energy applications. This review presents a comprehensive analysis of WSN architectures, routing protocols, and deployment strategies tailored to photovoltaic (PV) arrays, wind energy systems, hydroelectric plants, and smart microgrids. Core operational challenges are examined through a critical evaluation of energy-aware routing protocols including LEACH, PEGASIS, TEEN, ZRP, and advanced variants like EE-OLEACH and PT-Hybrid. Real-world applications, such as offshore wind farms, rooftop PV …
Comparative Analysis Of Linear And Non-Linear Feature Selection For Breast Cancer Detection With Shap Analysis, Hamza Sabo Maccido
Comparative Analysis Of Linear And Non-Linear Feature Selection For Breast Cancer Detection With Shap Analysis, Hamza Sabo Maccido
AUIQ Technical Engineering Science
Breast cancer remains one of the leading causes of mortality worldwide, emphasizing the critical need for accurate and efficient diagnostic tools. This study investigates the effectiveness of combining linear and non-linear feature selection methods-Principal Component Analysis (PCA), Pearson Correlation Coefficient (PCC), and Backpropagation Neural Networks (BNN) to improve breast cancer classification using machine learning models. We utilized the Wisconsin Breast Cancer Dataset to evaluate the performance of five classifiers-Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Logistic Regression (LR), Decision Tree (DT), Naïve Bayes (NB) and Artificial Neural Network (ANN). The results demonstrated that BNN-selected features consistently outperformed PCA and PCC …
Corneal Elevation Maps Patterns Classification Using Correlation Method, Sura M. Ahmed, Nebras H. Ghaeb, Salman Yussof, Noor T. Al-Sharify, Husam Yahya Nser, Zainab T. Al-Sharify, Ong Hang See, Leong Yeng Weng
Corneal Elevation Maps Patterns Classification Using Correlation Method, Sura M. Ahmed, Nebras H. Ghaeb, Salman Yussof, Noor T. Al-Sharify, Husam Yahya Nser, Zainab T. Al-Sharify, Ong Hang See, Leong Yeng Weng
Iraqi Journal for Computer Science and Mathematics
The ophthalmologist uses various techniques to diagnose corneal abnormalities, including corneal topography and tomography devices. Currently generated color corneal elevation surface maps from topographic imaging devices are essential for detecting ocular diseases, while accurately classifying these maps to differentiate between different shapes remains an issue. This study aims to assess and compare parameters of the front and back corneal surface elevation map patterns of normal/abnormal corneas. Two hundred cases were randomly taken (100 normal and 100 abnormal) with a single normal reference image, and then an additional 25 cases were added later for the optimization process. The preprocessing of all …
Retracted: Comparative Study Based On Continuous Analysis Of Autism Spectrum Disorder Using Advanced Deep Learning With Model Interpretability Insights, Ayan Sar, Hussain Falih Mahdi, Sumit Aich, Pranav Singh, Tanupriya Choudhury
Retracted: Comparative Study Based On Continuous Analysis Of Autism Spectrum Disorder Using Advanced Deep Learning With Model Interpretability Insights, Ayan Sar, Hussain Falih Mahdi, Sumit Aich, Pranav Singh, Tanupriya Choudhury
Iraqi Journal for Computer Science and Mathematics
Hysterical conversion has similar cognition and behaviours to those in the case of ASD; it is, therefore, complex when diagnosing and classifying the condition. The majority of employed diagnostic tests are cross-sectional and fail to describe the developmental and clinical features of ASD; for this reason, they are pretty inaccurate in the diagnosis of ASD and thus cause disparities in the efficiency of the therapeutic interventions used. The present study's research contribution is a new application of deep learning that aims to analyse the spectrum of ASD with gradient-based classifications. In this case, we use a DL model trained on …
Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad
Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad
Data Science and Data Mining
Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …
Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad
Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad
Data Science and Data Mining
Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …
Computational And In Vitro Investigation Of P. Crocatum Bioactive Compounds As Pancreatic Lipase Inhibitors, Gusnia Meilin Gholam, Dimas Andrianto, Dewi Anggraini Septaningsih, Mega Safithri
Computational And In Vitro Investigation Of P. Crocatum Bioactive Compounds As Pancreatic Lipase Inhibitors, Gusnia Meilin Gholam, Dimas Andrianto, Dewi Anggraini Septaningsih, Mega Safithri
Karbala International Journal of Modern Science
Obesity, a prevalent metabolic disorder characterized by excessive fat accumulation, can severely affect overall health if left untreated. This study investigated the potential of a 70% ethanol extract from Piper crocatum (red betel) leaves as an in vitro inhibitor of pancreatic lipase (PL), supported by computational analyses to identify alternative compounds to orlistat. The phytochemical profile was characterized using LC-MS/MS, revealing alkaloids and terpenoids with contents of 1.1 ± 0.01 mg CE/g and 3.14 ± 0.3 mg UAE/g, respectively. The extract exhibited 49 ± 9.1% inhibition of PL activity. Molecular docking identified three promising compounds: calanolide A (10.43 kcal/mol), myricanone …
The Aga Khan University Annual Fund, Many Possibilities
The Aga Khan University Annual Fund, Many Possibilities
University press releases and calendars
No abstract provided.
Coaching Bilingual Speech-Language Student Clinicians And Spanish-Speaking Caregivers To Use Culturally Adapted Ndbi Techniques For Autistic Preschoolers, Richelle R. Mcguire
Coaching Bilingual Speech-Language Student Clinicians And Spanish-Speaking Caregivers To Use Culturally Adapted Ndbi Techniques For Autistic Preschoolers, Richelle R. Mcguire
Speech and Hearing Sciences ETDs
This study used a cascading coaching model to train bilingual speech-language pathology graduate students and Spanish-speaking caregivers to implement naturalistic developmental behavioral intervention (NDBI) strategies with autistic preschoolers. Two triads, each including a student clinician, minimally vocal child with autism, and caregiver, participated. A monolingual instructor coached student clinicians in culturally adapted NDBI techniques, who then coached caregivers in Spanish. A mixed methods approach evaluated outcomes through single-case experimental design and qualitative interviews. All adult participants increased their use of targeted NDBI skills, with large to very large effect sizes. Qualitative findings suggested areas for improvement (e.g., need for more …
Hyperglycemia And Oral Health: A Review Of Dental Clinicians’ Perceptions And Practices Of Blood Glucose Monitoring In The Dental Office, Kathleen Wozniak
Hyperglycemia And Oral Health: A Review Of Dental Clinicians’ Perceptions And Practices Of Blood Glucose Monitoring In The Dental Office, Kathleen Wozniak
Dental Hygiene ETDs
This study aims to review the current practices and perceptions of dentists regarding the likelihood of dental professionals incorporating blood glucose monitoring into patient care protocol of patients with diabetes mellitus and prediabetes in dental offices. A survey link was shared by DentalOffices, a dental resource center. The survey included a series of questions which aimed to review dentists' current attitudes, practices, and considerations for implementation of in-office blood glucose testing as it relates to the treatment of patients with diabetes mellitus. Forty-seven dentists participated in the survey. This study determined blood glucose testing is not a common protocol or …
Citizen Science Helps Monitor Urban Biodiversity: An Interactive, Data-Driven, And Open-Source Perspective, Katie Slack
Citizen Science Helps Monitor Urban Biodiversity: An Interactive, Data-Driven, And Open-Source Perspective, Katie Slack
Geography ETDs
Story maps, a powerful tool for communicating environmental narratives, are often commercial and lack many interactive functions. We integrate a data-driven and interactive geovisualization within an open-source story map created from high-attribute citizen science datasets. This story map creates a backend programming infrastructure for accessible, open-source science communication tools. Our story map intuitively communicates the findings from our web map application (app) portion of the story map to the public and helps reveal findings from the iNaturalist datasets. Albuquerque, New Mexico, United States is a demonstrative case study, but our tools can be flexibly adapted to other cities. Geovisualizations revealed …
Economic Stress And Child Outcomes: The Family Stress Model Among Asian American Families During Covid-19, Annie Fanta, Sei Eun Kim, Cindy J. Huang, William Tsai, Cindy Y. Huang
Economic Stress And Child Outcomes: The Family Stress Model Among Asian American Families During Covid-19, Annie Fanta, Sei Eun Kim, Cindy J. Huang, William Tsai, Cindy Y. Huang
Department of Family Science and Human Development Scholarship and Creative Works
Limited research has examined the impact of financial stress on families since the onset of COVID-19, specifically among Asian American (AA) parents. Informed by the Family Stress Model, this study examined the short-term longitudinal links between economic stress, parental psychological distress (i.e., anxiety and depression symptoms), positive parenting behaviors, and child outcomes three months later (i.e., child internalizing and externalizing problems). Results indicated that Time 1 (T1) parental economic stress was directly and positively associated with positive parenting behaviors at T1 and child internalizing problems at Time 2 (T2). Parental psychological distress at T1 was directly and negatively associated with …
In Silico Prediction Of Cytotoxic T-Cell Epitopes From Helicobacter Pylori Virulence Factors Using An Immunoinformatics Approach, Demy Valerie Chacon, Kiana Alika Co, Daphne Noreen Enriquez, Aubrey Love Labarda, Reanne Eden Manongsong, Edward Kevin B. Bragais
In Silico Prediction Of Cytotoxic T-Cell Epitopes From Helicobacter Pylori Virulence Factors Using An Immunoinformatics Approach, Demy Valerie Chacon, Kiana Alika Co, Daphne Noreen Enriquez, Aubrey Love Labarda, Reanne Eden Manongsong, Edward Kevin B. Bragais
Biology Faculty Publications
Background: Helicobacter pylori infects approximately half of the global population, leading to gastric and duodenal ulcers. Despite the availability of antibiotics, challenges such as patient reluctance, high treatment costs, and antibiotic resistance limit their effectiveness, making vaccination a promising alternative. This study used immunoinformatics to identify candidate epitopes for a multiepitope vaccine construct against H. pylori.
Material and methods: The protein variability server was utilized for conservation analysis. The epitopes were screened for antigenicity, allergenicity, toxicity, cross-reactivity, and population coverage. Selected epitopes were docked with their corresponding human leukocyte antigen (HLA) alleles, and thermodynamic quantities were determined. Five virulence …
Mccarty Foundation Boosts Cancer Center Project, Bill Dabney
Mccarty Foundation Boosts Cancer Center Project, Bill Dabney
University of Mississippi News
OXFORD, Miss. – The H.F. McCarty Foundation's recent gift to the University of Mississippi Medical Center will help give the state's cancer patients closer access to treatment supported by leading-edge research, which could result in more time with their loved ones.
Sheet Metal Workers International Association Loca V. Jansons Associates Inc
Sheet Metal Workers International Association Loca V. Jansons Associates Inc
2025 Decisions
USDC for the District of New Jersey
Resilience Mediates The Association Between Discrimination And Psychological Distress Among Rural, Black Women In South Carolina: A Structural Equation Model, Camryn Garrett, Abhisheak Aggrawal, Huiyi Xia, Cheuk Chi Tam, Bankole Olatosi Ph.D., Sarah Wilcox Phd, Xiaoming Li Ph.D., Shan Qiao Ph.D.
Resilience Mediates The Association Between Discrimination And Psychological Distress Among Rural, Black Women In South Carolina: A Structural Equation Model, Camryn Garrett, Abhisheak Aggrawal, Huiyi Xia, Cheuk Chi Tam, Bankole Olatosi Ph.D., Sarah Wilcox Phd, Xiaoming Li Ph.D., Shan Qiao Ph.D.
Faculty Publications
Introduction
The marginalization of intersecting racial, gender, and rural identities compounds the structural vulnerabilities (e.g., discrimination, stigma, health disparities) experienced by Black women in South Carolina’s rural areas. Discriminatory experiences can deteriorate mental health; however, resilience can potentially reduce the ill effects of discrimination by decreasing associated psychological distress. This study examines the mediating role of resilience in the association between discrimination and psychological distress among rural, Black women in South Carolina in the post-pandemic era.
Methods
Black women (n = 300, mean age = 48.6) living in rural South Carolina were recruited from January to February 2024 using …
Fieldnote 26: Summer Self-Care Rituals & Reflections, Venus Evans-Winters Dr.
Fieldnote 26: Summer Self-Care Rituals & Reflections, Venus Evans-Winters Dr.
Fieldnotes of a Black Woman Scholar: Research, Culture, and Wellness
In this reflective Fieldnotes episode, Dr. Mildred Boveda and Dr. Venus Evans-Winters pause to share how they’ve been showing up for themselves this summer. From the beaches to the quiet corners of our homes, we discuss the intentional self-care rituals that grounded us, restored us, and helped us reconnect with our purpose as educators, scholars, and Black women navigating layered commitments. We also offer a brief update on what’s ahead for the podcast and how our creative and scholarly energies are aligning for the upcoming season. Whether you're holding space for rest, reinventing your wellness routine, or simply curious about …
Comparative Study Of Machine Learning Models For Predicting The Market Value Of Professional Football Players, Álvaro Salvador López
Comparative Study Of Machine Learning Models For Predicting The Market Value Of Professional Football Players, Álvaro Salvador López
Master's Theses or Doctor of Nursing Practice
The market value of professional football players is a critical factor in decision-making for clubs, agents, and analysts. Accurate player valuation impacts transfers, contract negotiations, and financial planning. In recent years, data-driven approaches have emerged to support traditional scouting with predictive analytics. This thesis presents a comparative study of machine learning models to estimate the market value of football players based on historical performance and personal attributes.
This thesis presents a comparative study of two independently developed machine learning systems designed to predict the market value of football players for the 2020–2021 season. Both systems were trained using real data …
Health Impacts, Air Pollution And Electric Vehicles In California, Pufan Qi
Health Impacts, Air Pollution And Electric Vehicles In California, Pufan Qi
Economics ETDs
This research examines the impact of electric vehicles (EVs) on air quality in California over the period from 2010 to 2021, as well as the implications of air pollution for respiratory health, organized into five chapters. The initial chapter provides background information and outlines the objectives, findings, and contributions. The second chapter examines the relationship between air quality and electric vehicles by utilizing fixed effect panel regression models. The third chapter employs panel regressions with Poisson control models to assess the correlation between changes in air quality resulting from electric vehicles and the prevalence of respiratory diseases. The fourth chapter …
Essays On The Economics Of Education Policy, Stephen Owusu
Essays On The Economics Of Education Policy, Stephen Owusu
Economics ETDs
The first chapter of this dissertation evaluates the impact of Ghana’s Capitation Grant Scheme, a government education policy that provides direct funding to public schools to eliminate primary school fees, on both the short- and long-term numeracy and literacy skills of children intended to be treated. The findings suggest that free primary education may exacerbate language competition in linguistically discordant societies. In the second chapter, we find that, even without complementary infrastructural expansion, an additional year of official secondary schooling positively affects secondary and post-secondary educational outcomes. The third chapter investigates the relationship between secondary education length reform and reproductive …
Web-Based Data Collection Application Development At Pt Hidup Selalu Sejahtera Using Fuzzy Algorithm, Yulius Eka Agung Seputra
Web-Based Data Collection Application Development At Pt Hidup Selalu Sejahtera Using Fuzzy Algorithm, Yulius Eka Agung Seputra
Jurnal Administrasi Bisnis Terapan
This study focuses on designing and developing a web-based data collection application at PT Hidup Selalu Sejahtera utilizing fuzzy algorithms. The research method involves analyzing sales data to identify consumer behavior patterns and enhance marketing strategies. The application is developed using the Software Development Life Cycle to ensure efficiency and effectiveness. Findings show that the application improves decision-making accuracy based on sales data and offers deeper insights into consumer preferences. Furthermore, it enhances data management, leading to increased productivity within the organization. However, the study acknowledges limitations related to the volume of data analyzed, which may impact the generalizability of …
Derivation Of Adjoint Based Error Estimates For Nonlinear Ordinary Differential Equations With Application To Multistage Sir Models With Demographics, Daniel Alcala
Mathematics & Statistics ETDs
Ordinary Differential Equations (ODEs) are central to the mathematical modeling of various real-world phenomena, from mechanical systems governed by Newton’s laws to epidemic dynamics described by SIR-type ODEs. Since many ODEs do not admit closed-form analytic solutions, we approximate them numerically (e.g., with Euler’s, Runge–Kutta, or other such methods). This raises the key question: How accurate are these numerical solutions? In particular, reliably estimating the error in some quantity of interest (QoI) at time T without having an exact solution is of great scientific interest.
The first main contribution of this thesis is the development and analysis of adjoint-based error …
Ecoimmunology Of Dirty Physella Acuta Snails, Kevin Arthur Mcquirk
Ecoimmunology Of Dirty Physella Acuta Snails, Kevin Arthur Mcquirk
Biology ETDs
Research on Physella acuta, an invasive freshwater snail, reveals insights into its parasitology, fitness, and molecular biology. Morphological and molecular analyses revealed two distinct mitogenomic lineages, local (B) and invasive (A) strains of native P. acuta, both having comparable trematode infection rates, suggesting that the low infection rates observed from A in invaded regions result from "enemy release" rather than immune incompatibility. Fitness assessments showed that while lineages A and B performed similarly under laboratory conditions, rewilding experiments revealed significantly higher fitness in lineage A. Transcriptomic profiling supported these differences, with A snails showing greater immune-related gene expression and …