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Articles 43591 - 43620 of 1517247
Full-Text Articles in Entire DC Network
Segment-Level Machine Learning For Detecting Partial Deepfake Audio: An Rnn–Svm Hybrid Approach For Real-World Adversarial Environments, Ahmad Alhelli
Segment-Level Machine Learning For Detecting Partial Deepfake Audio: An Rnn–Svm Hybrid Approach For Real-World Adversarial Environments, Ahmad Alhelli
Theses
This study investigates the detection of real, fully fake, and partially fake (PF) audio using classical machine-learning models as well as a segment-level analysis model. Unlike most existing research, which focuses solely on binary real-vs-fake classification, this work introduces a three-class detection framework and constructs realistic PF samples by inserting short synthetic speech segments into otherwise genuine audio recordings. Its method combines MFCC and spectral feature engineering,Wav2Vec2 embeddings, controlled PF synthesis and various models such as SVM, Random Forest, XGBoost and an attention based RNN. Segment level windowing allows fine-grained study of transition of time and breaks of manipulation. The …
Enhancing Airport Operations With Ai For A Seamless Passenger Experience, Rashed Alsubousi
Enhancing Airport Operations With Ai For A Seamless Passenger Experience, Rashed Alsubousi
Theses
The paper is research exploring the importance of Artificial Intelligence (AI) and Data Analytics to optimize airport operations and the passenger experience in the environment of the expanding air traffic in the world and the smart city movement. With increasing tasks that airports currently experience, congestion, flight delays, mishandling of baggage, and limited capacity, nowadays AI-based technologies integration is crucial to the operational efficiency, sustainability, and customer satisfaction. This study discusses the use of predictive analytics, machine learning, and clustering models to enhance passenger flows, resource allocation, and performance in general at airports. The research is based on the working …
Country Boys, Bill Elgersma
Lanthorn, Vol. 60, No. 08, December 1, 2025, Grand Valley State University
Lanthorn, Vol. 60, No. 08, December 1, 2025, Grand Valley State University
Volume 60, August 4, 2025 – April 20, 2026
Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present.
An Examination Of Brand Avoidance Among Consumers Of Membership Business Models, Cara Peters, Bradley W. Brooks
An Examination Of Brand Avoidance Among Consumers Of Membership Business Models, Cara Peters, Bradley W. Brooks
Journal of Applied Marketing Theory
The purpose of this study is to examine how the increasingly prevalent business membership model is linked to potential brand avoidance. Based on a qualitative examination of consumer complaints from two organizations that utilize membership business models, this research demonstrates how consumer complaints are highly consistent with established brand avoidance antecedents. The findings offer a cautionary warning to business decision-makers who manage membership business models with consumers as well as to those who are considering implementing such an approach. The implications for these decision-makers are discussed.
Is Political Information Over Facebook Credible? A Look At The 2020 Presidential Election, Kristina Harrison, Shawn Thelen, Boonghee Yoo, John B. Ford
Is Political Information Over Facebook Credible? A Look At The 2020 Presidential Election, Kristina Harrison, Shawn Thelen, Boonghee Yoo, John B. Ford
Journal of Applied Marketing Theory
Much controversy still exists surrounding the events before, during, and after the 2020 U.S. presidential election. Some of this is attributable to voters’ uncertainty, driven by conflicting messages transmitted over social media, about the credibility of information surrounding the candidates and election results. Examining data collected shortly before the 2020 election, this study investigates how consumers perceive political information presented on Facebook. Drawing from Source Credibility Theory and the Elaboration Likelihood Model (ELM), the research tests a model that includes medium dependency, medium interactivity, information quality, information presentation, personal expertise, and power perception. Data from 407 participants were analyzed using …
Decoding The Dynamics Of Ceo Sociopolitical Activism And Stakeholders’ Response, Nayyer Naseem, Yuqi Wang, Faraz Moin
Decoding The Dynamics Of Ceo Sociopolitical Activism And Stakeholders’ Response, Nayyer Naseem, Yuqi Wang, Faraz Moin
Journal of Applied Marketing Theory
Business leaders today function as powerful symbolic figures whose sociopolitical stances can transform consumer loyalty, investor confidence, and organizational stability. This study decodes how stakeholders interpret executive actions and respond through behaviors such as boycotts, divestment, or heightened advocacy, highlighting both short and long-term consequences. Drawing on signaling, stakeholder, social identity, social influence, intrinsic motivation, and reputational risk theoretical frameworks, this study develops a four-stage interpretive model that links leadership behavior to stakeholder perceptions, reactions, and market outcomes within varying contextual and environmental conditions. Through a case-based analysis, it illustrates how CEO stance, media framing, and ideological alignment shape these …
Educating For Impact: A Prosocial Marketing Approach To Foster Altruism Among Young Consumers, Bela Florenthal
Educating For Impact: A Prosocial Marketing Approach To Foster Altruism Among Young Consumers, Bela Florenthal
Journal of Applied Marketing Theory
This study explores how a prosocial marketing intervention in a dual-enrollment course fosters altruistic values and emotional development among young consumers while deepening their understanding of cause-related and social marketing. Grounded in holistic and experiential learning, the project required students to engage in weekly acts of kindness, reflect on their experiences, and share their actions on social media to amplify impact. Thematic analysis of qualitative data collected over two academic years revealed personal growth driven by intrinsic motivation (e.g., belonging, self-esteem) and positive emotions (e.g., joy, pride). Students demonstrated greater social awareness and practical application of marketing principles through volunteering, …
Learning From Unique Approaches And Challenges, Kathryn L. Haughney, Jeongae Kang, Aftynne E. Cheek
Learning From Unique Approaches And Challenges, Kathryn L. Haughney, Jeongae Kang, Aftynne E. Cheek
Journal of Case Learning & Exceptional Learners
No abstract provided.
Involvement Of Students With Extensive Support Needs In Pbis: Middle School Educator And Administrator Perspectives, Virginia L. Walker, Megan E. Carpenter, Sheldon Loman
Involvement Of Students With Extensive Support Needs In Pbis: Middle School Educator And Administrator Perspectives, Virginia L. Walker, Megan E. Carpenter, Sheldon Loman
Journal of Case Learning & Exceptional Learners
School-wide positive behavioral interventions and supports (PBIS) is a widely adopted multi-tiered system of behavioral supports designed to promote a safe, predictable, and inclusive school environment for all students. Despite the positive outcomes associated with PBIS, students with extensive support needs (ESN) may have limited access to and involvement in all aspects of PBIS. In this article, we describe the perspectives of three staff members––an administrator, general education teacher, and special education teacher––who participated in interviews about the involvement of students with ESN in PBIS. These staff members provided insightful information about how students with ESN were involved in PBIS …
A Study Of Configuration Management Database (Cmdb) Adoption In It Service Management (Itsm) Implementations Within Nj Community Colleges, Fredrick Dande
A Study Of Configuration Management Database (Cmdb) Adoption In It Service Management (Itsm) Implementations Within Nj Community Colleges, Fredrick Dande
All-Inclusive List of Electronic Theses and Dissertations
This study examines the adoption of Configuration Management Databases (CMDBs) in IT Service Management (ITSM) implementations within New Jersey (NJ) community colleges. Despite the well-documented benefits of CMDBs—such as faster issue resolution, improved compliance, and greater visibility across IT infrastructures—implementation success rates remain low. As technology continues to enhance production capabilities and expand access to information, the need for centralized configuration visibility has become critical. A CMDB provides a single system of record for IT assets and services, helping organizations manage outages, assess changes, maintain compliance, and improve asset tracking. This research used an online survey to collect data from …
Uwarunkowania Zarządzania Siecią Bankomatów W Polsce – Analiza Rentowności, Arkadiusz Manikowski, Rafał Zbyrowski
Uwarunkowania Zarządzania Siecią Bankomatów W Polsce – Analiza Rentowności, Arkadiusz Manikowski, Rafał Zbyrowski
Monografie/Monographs
Monografia poświęcona jest kompleksowej analizie funkcjonowania, kosztów i rentowności sieci bankomatów w Polsce, z uwzględnieniem uwarunkowań technologicznych, społecznych, przestrzennych i ekonomicznych. Autorzy prezentują w niej swoje wnikliwe badania obecnego stanu rynku oraz argumenty na rzecz modyfikacji niektórych jego parametrów.
Conditions for Managing an ATM Network in Poland – Profitability Analysis
This monograph presents a comprehensive analysis of the functioning, costs, and profitability of ATM networks in Poland, considering technological, social, spatial, and economic conditions. The authors present their insightful research on the current state of the market and arguments for modifying some of its parameters.
Contx: Scene Context Prediction Via Context Bank And Layout Perception, Jingxin Liang, Yangyang Xu, Haorui Song, Yuan Lu, Yuhui Deng, Yiyi Long, Yan Huang, Shengxin Liu, Jianbo Jiao, Shengfeng He
Contx: Scene Context Prediction Via Context Bank And Layout Perception, Jingxin Liang, Yangyang Xu, Haorui Song, Yuan Lu, Yuhui Deng, Yiyi Long, Yan Huang, Shengxin Liu, Jianbo Jiao, Shengfeng He
Research Collection School Of Computing and Information Systems
Scene context prediction, which seeks to infer unknown contextual information from isolated object properties, currently faces limitations due to predominant reliance on pixel-wise supervision that overlooks real-world context priors. To address this, we present ContX, a context-prior-driven, coarse-to-fine model. ContX distinctively integrates explicit linguistic-contextual knowledge in two key ways. First, it proposes a linguistic guided context bank, leveraging linguistic-statistical contextual data to guide the rationality of segmentation shapes and foster meaningful inter-class contextual interactions. Second, ContX augments contextual comprehension by correlating layouts with linguistic descriptions, enhancing layout perception through a multi-modal strategy. Comprehensive experiments demonstrate ContX's superiority and versatility, outperforming …
Agentguard: An Active Threat Discovery System For Package Confusion Using Multi-Agent Collaboration, Wei Ma, Yu Li, Zhi Chen, Ye Liu, Lingxiao Jiang, Qiang Hu, Junyi Tao
Agentguard: An Active Threat Discovery System For Package Confusion Using Multi-Agent Collaboration, Wei Ma, Yu Li, Zhi Chen, Ye Liu, Lingxiao Jiang, Qiang Hu, Junyi Tao
Research Collection School Of Computing and Information Systems
The proliferation of open-source software (OSS) has made software supply chains prime targets for attacks like Package Confusion, where adversaries publish malicious packages with names deceptively similar to legitimate ones. Existing detection methods often rely on simple lexical similarity or passive analysis of known package pairs, struggle with high false positive rates (FPR), fail to proactively identify emerging threats, and are vulnerable to adversarial evasion. To overcome these limitations, we introduce AgentGuard, a novel framework for proactive, single-input package confusion detection. AgentGuard employs a multi-agent architecture that autonomously discovers potential confusion targets using fine-tuned word embedding model to hybird semantic …
Accuracy-Enabling Differential Privacy-Preserving Truth Discovery, Man Zhang, Xinghua Li, Yinbin Miao, Bin Luo, Siqi Ma, Robert H. Deng
Accuracy-Enabling Differential Privacy-Preserving Truth Discovery, Man Zhang, Xinghua Li, Yinbin Miao, Bin Luo, Siqi Ma, Robert H. Deng
Research Collection School Of Computing and Information Systems
Perturbation-based privacy-preserving truth discovery requires the Service Provider (SP) to calculate the truthful aggregation result from perturbed data of the Data Sources (DSs), which inevitably damages the aggregation accuracy due to perturbation noise added in the data. Thus, the existing works attempt to relieve the perturbation errors by reducing noise amounts or adjusting aggregation weights of DSs. However, the former sacrifices DSs’ privacy preservation and the latter has the limited accuracy recovery performance. Aiming at it, we propose an accuracy-enabling differential privacy-preserving truth discovery consisting of an independence-guaranteed data perturbation module and a progressive-private noise elimination module. Specifically, in the …
Fl-Cdf: Collaborative Defense Framework For Backdoor Mitigation In Federated Learning, Haiyan Zhang, Xinghua Li, Yinbin Miao, Shunjie Yuan, Mengyao Zhu, Ximeng Liu, Robert H. Deng
Fl-Cdf: Collaborative Defense Framework For Backdoor Mitigation In Federated Learning, Haiyan Zhang, Xinghua Li, Yinbin Miao, Shunjie Yuan, Mengyao Zhu, Ximeng Liu, Robert H. Deng
Research Collection School Of Computing and Information Systems
Federated learning (FL) is vulnerable to backdoor attacks due to its distributed nature. Existing unilateral defense mechanisms often fail against persistent attack strategies, primarily due to their limited perspectives. To address the challenge of model misclassification on the server side caused by overlooked model similarity drift, and gradient misjudgment on the client side caused by semantic learning imbalances across classes, this paper proposes a collaborative defense framework for federated learning, termed FL-CDF. FL-CDF establishes an end-to-end defense through a bidirectional client-server collaboration mechanism. Specifically: (1) On the client side, an adversarial perturbation-based malicious neuron detection module is introduced. This module …
The Role Of Participative Leadership In Enhancing Strategic Foresight, Ali Mawat Al-Sudani, Hadeel Kadhm Saeed, Iftikhar Abdhussein Kataa
The Role Of Participative Leadership In Enhancing Strategic Foresight, Ali Mawat Al-Sudani, Hadeel Kadhm Saeed, Iftikhar Abdhussein Kataa
Journal of Economics and Administrative Sciences
Research diagnoses the role of Participative leadership in enhancing strategic foresight in the General Directorate of Education in the First Rusafa. To explain the influential relationships between the research variables and achieve the main objective of the research, a hypothetical model was developed in light of which a set of hypotheses were formulated. To test them, the researchers used the descriptive analytical approach to complete the research by using the questionnaire as a main tool for collecting data and information, which was distributed to the research sample, which included several managers (department manager and division officials) in the General Directorate …
The Role Of Barriers, Perceptions, And Strategic Gaps In Attracting International Students, Maqsood Saadi Mohammad
The Role Of Barriers, Perceptions, And Strategic Gaps In Attracting International Students, Maqsood Saadi Mohammad
Journal of Economics and Administrative Sciences
This paper examined the administrative outlooks of the Kurdistan Region of Iraq regarding the issue of recruiting international students, based on the perceived obstacles, institutional approaches, and the desired support of the government. The study is based on institutional theory and strategic management in higher education, which offers a strong theoretical framework for investigating how universities can ensure their internal capabilities are aligned with external policy structures. Quantitative research design was incorporated, and a structured survey was introduced to the presidents, deans, vice presidents, and directors of international relations and admissions of various universities. The collected data were analyzed using …
Island-Based Evolutionary Computation With Diverse Surrogates And Adaptive Knowledge Transfer For High-Dimensional Data-Driven Optimization, Xianrong Zhang, Yuejiao Gong, Zhiguang Cao, Jun Zhang
Island-Based Evolutionary Computation With Diverse Surrogates And Adaptive Knowledge Transfer For High-Dimensional Data-Driven Optimization, Xianrong Zhang, Yuejiao Gong, Zhiguang Cao, Jun Zhang
Research Collection School Of Computing and Information Systems
In recent years, there has been a growing interest in data-driven evolutionary algorithms (DDEAs) employing surrogate models to approximate the objective functions with limited data. However, current DDEAs are primarily designed for lower-dimensional problems and their performance drops significantly when applied to large-scale optimization problems (LSOPs). To address the challenge, this paper proposes an offline DDEA named DSKT-DDEA. DSKT-DDEA leverages multiple islands that utilize different data to establish diverse surrogate models, fostering diverse subpopulations and mitigating the risk of premature convergence. In the intra-island optimization phase, a semi-supervised learning method is devised to fine-tune the surrogates. It not only facilitates …
Effectiveness Of Cognitive And Behavioral Interventions In The Treatment Of Schizophrenia: An Umbrella Review Of Meta-Analyses, Gabriel Xing Da Tan, Andree Hartanto, Zoey Khai Yee Eun, Meilan Hu, Kean J. Hsu, Nadyanna M. Majeed
Effectiveness Of Cognitive And Behavioral Interventions In The Treatment Of Schizophrenia: An Umbrella Review Of Meta-Analyses, Gabriel Xing Da Tan, Andree Hartanto, Zoey Khai Yee Eun, Meilan Hu, Kean J. Hsu, Nadyanna M. Majeed
Research Collection School of Social Sciences
Background: Cognitive and behavioral interventions have risen in popularity both as an adjunctive treatment to antipsychotic medication and as an alternative treatment for schizophrenia. With the growing number of such interventions, we performed an umbrella review to provide a comprehensive summary comparing the effectiveness of the different interventions among populations with schizophrenia. Methods: This umbrella review included meta-analyses evaluating cognitive and behavioral interventions for schizophrenia. Following PRISMA guidelines, the initial search yielded 4888 records, and after a three-stage screening procedure, 33 meta-analyses met the inclusion criteria for the final analysis. Results: Our findings from the 33 meta-analyses support the efficacy …
Navigating Ai-Nature Frictions: Autonomous Vehicle Testing And Nature-Based Constraints, Prerona Das, Orlando Woods, Lily Kong
Navigating Ai-Nature Frictions: Autonomous Vehicle Testing And Nature-Based Constraints, Prerona Das, Orlando Woods, Lily Kong
Research Collection College of Integrative Studies
In cities, the application of Artificial Intelligence (AI) is being directed towards transforming different aspects of urban life. These applications take material form in urban spaces, with autonomous vehicles (AVs) providing a prominent example. AI systems rely on large volumes of data on their surroundings to refine the algorithms and enhance the accuracy of prediction for operational efficiency and safety. However, such algorithmic learning and execution can present challenges when dealing with the unpredictable, complex, and dynamic aspects of urban spaces. Nature is a paradigmatic example of such unpredictability, because natural phenomena usually defy consistent patterns and precise data-based modelling. …
Privately Owned Companies Dominate Renewable Energy Generation Ownership Around The World, Dyaran Bansraj, Theodor Florian Cojoianu, Xi Hu, Khaladdin Rzayev, Francisco Urzua
Privately Owned Companies Dominate Renewable Energy Generation Ownership Around The World, Dyaran Bansraj, Theodor Florian Cojoianu, Xi Hu, Khaladdin Rzayev, Francisco Urzua
Research Collection College of Integrative Studies
Global sustainable finance policies are premised on publicly listed companies driving decarbonization through transparency, investor pressure, and capital market access. Analysing c. 20,000 corporate owners of renewable and fossil-fuel assets worldwide, we show the opposite: private firms own approximately 75% of global renewable generation capacity. This private dominance holds across all major technologies and regions, with listed ownership of renewable assets being the majority only in the oil & gas and technology sectors. The Paris Agreement did not alter this balance. Instead, ownership of the energy transition reflects countries' financial structures, with similar patterns observed across manufacturing, construction, and financial …
Doktrin Penyalahgunaan Hak (Abus Des Droit), Syukron Salam
Doktrin Penyalahgunaan Hak (Abus Des Droit), Syukron Salam
Jurnal Hukum & Pembangunan
The present article examines the emergence of the doctrine of abus de droit in France in the mid-twentieth century through an analysis of key judicial decisions and the debates that followed them. The study commences with an exposition of the manner in which the evolution of capitalism, concomitant with the escalating economic disparity and the propagation of societal challenges, has influenced the judicial approach to the abstract Roman-law tradition of absolute rights. In light of this, the article contends that the civil-law tradition exhibited a fundamental flaw in its conceptualisation of rights as absolute, thereby overlooking objections that were firmly …
Building Rapport In Ethnoculturally Dissimilar Dyads: A Critical Grounded Theory Inquiry, Danielle E. Burton
Building Rapport In Ethnoculturally Dissimilar Dyads: A Critical Grounded Theory Inquiry, Danielle E. Burton
LSU New Orleans Theses and Dissertations
Multiculturalism is not a new concept within the field of counseling. It is discussed in terms adjacent to competency, theory, and identity development. However, research indicates that students do not usually feel multiculturally-competent following their graduation from counseling programs, nor do they feel that they have adequate skills and techniques to engage diverse clientele. This critical grounded theory study examines counseling skills, dispositional factors, systemic factors, and other experiential factors used in pursuit of rapport within counseling dyads of ethnocultural dissimilarity. Semi-structured interview data was coded to reveal five themes to be used as a heuristic for further discovery. These …
A Longitudinal And Multimodal Simulation-Based Curriculum Improved Internal Medicine Residents' Confidence In Procedures, Point-Of-Care Ultrasound, And Clinical Decision-Making., Sarah Grebennikov, Aisha Imam, Megan Kang, Aimee E Willett, Brad Gable, Sanjay Patel
A Longitudinal And Multimodal Simulation-Based Curriculum Improved Internal Medicine Residents' Confidence In Procedures, Point-Of-Care Ultrasound, And Clinical Decision-Making., Sarah Grebennikov, Aisha Imam, Megan Kang, Aimee E Willett, Brad Gable, Sanjay Patel
Medical Education Articles
Introduction Internal medicine training has historically relied on classroom-based lectures, typically delivered through morning and noon conferences, which offer broad content coverage but limited experiential learning. Simulation-based education improves resident confidence, procedural ability, and clinical reasoning; yet it is often delivered in brief, standalone activities that lack longitudinal structure or integration within the broader curriculum. Few programs have a longitudinal simulation curriculum that spans the academic year and incorporates multiple modalities and topics. We developed a novel simulation-based curriculum intentionally integrated into the existing resident academic schedule to provide structured hands-on learning across multiple domains. Sessions focused on procedural and …
Fast And Accurate Measurement Of Small Field Dosimetry Using A Novel Scintillation Detector, Yiding Han, Jingzhu Xu, Yao Hao, Baozhou Sun
Fast And Accurate Measurement Of Small Field Dosimetry Using A Novel Scintillation Detector, Yiding Han, Jingzhu Xu, Yao Hao, Baozhou Sun
2020-Current year OA Pubs
BACKGROUND: The most used instruments for small-field dosimetry have notable limitations, including the need for correction of output factors, limited scanning speeds, and challenges in alignment for percentage depth dose (PDD) measurements, particularly for extremely small fields. However, plastic scintillation detectors (PSDs) are an attractive alternative for small-field dosimetry due to their correction-free nature, linear dose response, and fast response time.
PURPOSE: This study evaluates the robustness and accuracy of the dosimetric measurements using a new water-equivalent PSD in small-field dosimetry. The study also aims to report accurate measurements of output factors, profiles, and an indirect method for measuring PDD …
Mitochondria-Mediated Epigenetic Transfer Between Chondrosarcoma And Wild-Type Cells, Caleb C. J. Wyckoff
Mitochondria-Mediated Epigenetic Transfer Between Chondrosarcoma And Wild-Type Cells, Caleb C. J. Wyckoff
Biomedical Sciences Theses & Dissertations
Glioblastoma (GB), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), cholangiocarcinoma, and chondrosarcoma (CS) cancers all contain mutations in the gene isocitrate dehydrogenase 2 (IDH2). The mutant IDH2 enzyme exhibits transformation of alpha-ketoglutarate (αKG) into the oncometabolite D-2-hydroxyglutarate (D2HG) in the mitochondria of these cancers. Mitochondrial-mediated transfer between cancer cells and recipient cells is a significant event that impacts the physiology of the receiving cell, specifically the epigenetic landscape. Previous experiments indicating increased DNA methylation in mesenchymal stem cells exposed to IDH1 or IDH2 conditioned medium underscore the potential role of D2HG to alter methylation states. Additionally, the presence of …
Aiding And Abetting Scientific Integrity In U.S. Federal Government Agencies, Keeley Townsend
Aiding And Abetting Scientific Integrity In U.S. Federal Government Agencies, Keeley Townsend
Theses and Dissertations in Business Administration
Science can play a critical role in supporting sound public administration and policy decisions. However, the value that science provides to government decision-making is contingent on a government’s scientific integrity standards and the degree to which employees adhere to those standards when conducting, managing, using, or communicating about science. Within the U.S. federal government, scientific integrity standards have historically been defined and applied inconsistently, at times resulting in harmful government actions.
Since at least 2000, the U.S. Congress and several executive administrations have taken steps to strengthen scientific integrity in government operations. One recent step included requiring all federal government …
Chasing The Dream And Buying The Promise In A Conceptual Framework For Consumer Decision-Making, Casey H. Prentice
Chasing The Dream And Buying The Promise In A Conceptual Framework For Consumer Decision-Making, Casey H. Prentice
Communication & Theatre Arts Theses
The American dream is a concept that is echoed across our society, and while the data show Americans do not overwhelmingly believe in the dream, marketers continue to pair it and the issue of economic prosperity in their agendas. Through a novel framework that overlaps a deeply studied mass communication theory with a decision-making framework used in marketing, this paper demonstrates a new lens to understand how marketers identify strategies and tactics, build agendas, and make sales by touting the American dream. As separate entities, decision-making models and agenda setting theory are powerful, but together can create an environment that …
Tracing The Journey Of Dissolved Organic Matter: From Leaf Litter Photodegradation To Microbial Processing In Tropical Streams, Samantha Nicole Sullivan
Tracing The Journey Of Dissolved Organic Matter: From Leaf Litter Photodegradation To Microbial Processing In Tropical Streams, Samantha Nicole Sullivan
Chemistry & Biochemistry Theses & Dissertations
Dissolved organic matter (DOM) is a major reservoir of organic carbon in aquatic ecosystems and plays a central role in global carbon cycling through its transformation and remineralization to carbon dioxide (CO₂). As DOM moves from terrestrial environments into streams and rivers, its chemical composition is altered by a combination of microbial and photochemical oxidation processes that regulate both its reactivity and its persistence during transport. However, the molecular mechanisms governing these oxidative transitions, particularly in tropical ecosystems characterized by strong hydrologic seasonality and substantial inputs of plant-derived material, remain insufficiently resolved. This dissertation integrates ultrahigh-resolution mass spectrometry, optical characterization, …