Digital Commons Network^™

Optimal Operation Scheduling Of Integrated Energy System Considering Energy Priority, Dongli Jia, Keyan Liu, Zhaoying Ren, Zezhou Wang, Dongsheng Tang

Journal of System Simulation

Abstract: Integrated with the actual situation of power grid and the growth of new energy, a multiobjective model for optimal scheduling of the integrated energy system(IES) is established based on the analysis of the energy-flow relationship of the IES and taking into account the priority of energy utilization and the load demand response in terms of the mismatch between the distributed energy sources and the loads, the net benefit of the unit cost of the IES, and the load response degree. Combined with the equipment and the environmental benefits system, a priority constraint for energy utilization has been established for …

Research On Scheduling Strategies Simulation For Building Air-Conditioning Systems Based On Transfer Imitation Learning, Qiaochu Wang, Yan Ding, Chuanzhi Liang, Haozheng Zhang, Chen Huang

Journal of System Simulation

Abstract: To solve the problem of unstable performance and inefficient training process of low-quality data conditions at the initial stage of online deployment of air conditioner scheduling, we propose a migration-imitation learning-based air conditioning scheduling strategy simulation method. Reinforcement learning methods are used to generate building operation strategies. A standard building simulation model serves as the source domain, upon which migration learning is applied. An imitation learning loss function is incorporated into the intelligent loss function to enhance algorithm performance. The results indicate that, compared with the non-use of migration learning, the proposed method can improve the operational efficiency by …

Behavioral Modeling Of Manned-Unmanned Cooperative Air Combat Based On Improved Abc Algorithm, Peng Wang, Haoyu Liu, Ni Li, Zexi Yu, Shangjie Jia

Journal of System Simulation

Abstract: To solve the problem of difficulty in establishing collaborative behavior models and weak adversarial capabilities in typical MAV/UAV air combat scenarios, a mixed decision based MAV/UAV behavior modeling framework is proposed. Using collaborative rule sets, rule subsets, tactical action sets, and other tools, a hierarchical decision collaborative behavior model supporting five types of collaborative tactics, including grinding tactics and unilateral flanking tactics, is constructed in this framework. a behavior model parameter optimization method based on an improved artificial bee colony (ABC) algorithm is proposed. By using the Mason rotation method to initialize the population, a better initial honey source …

At The Core Of Apple And Antitrust: Interoperability, Antoine Bremond

Seattle Journal of Technology, Environmental, & Innovation Law

This paper offers a novel approach to analyzing Apple Inc, (Apple) within the context of antitrust law. As a frequently named party to antitrust litigation, not only in the United States but also worldwide, Apple’s closed garden has already been called into question. However, similar to the U.S. Department of Justice’s (DOJ) attempt on March 21^st, 2024 to “to erect a new landmark decision” in their lawsuit against Apple, this paper focuses on Apple’s iOS ecosystem as a whole. While this article recognizes similar consumer harm concerns the DOJ addresses in United States, et al. v. Apple Inc …

Defining The Social Licence Of Large Language Models In Healthcare, Robin L. Pierce, Jack Gallifant, Ashley Cordes, Amelia Fiske, Matilda Dorotic, Mataroria Lyndon, Shrey Jain, Joe Zhang, Judy Gichoya, Leo Anthony Celi

Seattle Journal of Technology, Environmental, & Innovation Law

As Large Language Models (LLMs) continue to grow and evolve, the ethical, social, and legal challenges they present, especially in terms of data use and sharing, come sharply into focus. Particularly in high-risk domains like healthcare, where the sensitivity of data is pronounced, and the ramifications of data leakages or misuse are profound. These licenses, envisioned to address the complexities introduced by LLMs, still grapple with barriers that hinder their full potential: notably, the absence of authoritative regulatory bodies, ambiguities in defining what constitutes 'sufficient public benefit', issues of data sovereignty, and dilemmas surrounding responsibility and liability. Herein, we delve …

Integrating Traditional And Western Healing Practices For American Indian Patients, Victoria Blacksmith

Walden Dissertations and Doctoral Studies

The American Indian/Alaska Native (AI/AN) community experiences disproportionally high rates of mental health disorders. Although research had examined the benefits of using traditional AI/AN health practices, little was known about how integrating traditional and Western treatment methods works. Using historical trauma theory and oppression theory, this qualitative study explored how AI/AN clinicians integrate traditional health practices into Western treatment methods when treating mental health disorders in AI/AN patients. Data were collected through semistructured interviews with five clinicians. Data analysis via deductive coding revealed two main themes: lived experiences of AI/AN clinicians and integration strategies. Cultural knowledge was the most prominent …

Elementary Science Instruction: A Document Analysis Of Teacher Messaging Across Two Sets Of Curriculum Materials, Jessica Mary Whisher-Hehl

Dissertations - ALL

Elementary teachers are tasked with teaching multiple subjects within an instructional day. One mechanism to support this task is through strong curriculum materials, which lay out a course of instruction aligned with instructional standards. This is helpful when teachers are trying to teach to a new set of standards, such as the Next Generation Science Standards, which require a significant shift in instructional strategies. In cases such as this, educative features embedded in the curriculum materials can assist teachers in making the required shifts in instruction. However, sometimes the instructional time required by curriculum materials, especially in elementary science, is …

Challenges To Reproductive Justice: An Ethical Analysis Of Reproductive Technologies And Disparities, Courtney Brenner

Electronic Theses and Dissertations

This dissertation analyzes the Reproductive Justice Framework to describe possible solutions to the ethical challenges related to reproductive healthcare disparities. Various frameworks to support reproductive equity fail to address the challenges marginalized individuals face in accessing reproductive health services. The four ethical principles of autonomy, beneficence, nonmaleficence, and justice serve as foundational tools to support reducing these disparities. This dissertation uses the Reproductive Justice Framework to analyze the unequal distribution of harms among marginalized women. It highlights how access to care, such as Assisted Reproductive Technologies (ART), is disproportionately inaccessible to marginalized women. Then, it discusses the relationship between marginalized …

How Scientists Can Investigate Perception: Phenomenological Foundations For Qualitative Research, Kimberly Tucker

Electronic Theses and Dissertations

While medicine makes visible symptoms of disease, phenomenology provides a different tool for making illness experience visible. Phenomenology offers a tool for a new kind of description and a different kind of knowledge of disease. It holds a unique epistemic power through the descriptions it generates through the application of the transcendental phenomenological method. Husserl’s method, outlined in Ideas I, provides the steps for its implementation in clinical research. This dissertation explores the application of the transcendental phenomenological method as a foundation for research on perception, with the goal of characterizing phenomenological validity as a proper goal of medical epistemology. …

Toward Effective Interfaith Relations Between Christianity And Indigenous African Religious Tradition In The Obolo Context In Nigeria – A Decolonial Theological Approach, Jerome Etenduk

Electronic Theses and Dissertations

This study focuses on the need for effective interfaith relations between Christianity and the Indigenous African Religious Tradition (IART) in a post-colonial Obolo context in Nigeria. It explores a history of complex religious crises in Obolo and identifies that Eurocentric/colonial theological imagination constitutes a significant reason for the problematic interfaith relations in Obolo. The dominant Eurocentric/colonial theology is founded on the theoretical framework that assumes that Europe (and America) is the hubris of knowledge. It negates and discounts the knowledge systems of other people. To know, they must learn from Europe and America. In this way, European missionaries to Obolo …

Essential Practices And Attributes Of Integrated Stem In Elementary Education, Leah R. Cheek, Vinson Carter, Michael K. Daugherty, Christian Z. Goering

Curriculum and Instruction Faculty Publications and Presentations

Throughout the 21st century, STEM education’s effectiveness remains a focal point for researchers, policymakers, and employers. Despite substantial investments, student engagement in science, technology, engineering, and mathematics has remained essentially unchanged. Researchers persistently face challenges in expanding STEM pedagogy and improving teachers’ classroom practices, directly impacting student performance. Proposals for professional development for teachers abound, yet its success hinges on relevance and collaboration. This study utilized a three-round modified Delphi panel to identify essential P-6 integrated STEM education practices. The findings emphasize the need for dynamic, student-centered approaches coupled with continuous fine-tuning of teaching techniques. This connection is crucial for …

Formulation And Characterization Of Biologics – From Sirna To Monoclonal Antibodies, Chinmay M. Jogdeo

Theses & Dissertations

Biologics are a rapidly growing class of therapeutics, encompassing a wide range of modalities, with gene therapy products and monoclonal antibodies (mAbs) constituting the majority. Proper formulation and characterization of these complex therapeutics is crucial to ensure their safety and therapeutic efficacy.

This dissertation focuses on two main areas: the development of a novel renal-targeted siRNA delivery system and the assessment of structural and conformational stability of mAbs in a simulated subcutaneous (SC) environment.

The first part of this dissertation presents the synthesis and characterization of a novel renal-targeted polymer for selective siRNA delivery to injured kidneys. Inulin was modified …

Harmonic Impedance Modeling And Oscillation Analysis Of Modular Multilevel Converter, Yuhong Wang, Wensheng Chen, Shilin Gao, Jianquan Liao, Yangfan Cheng

Journal of System Simulation

Abstract: To facilitate rapid analysis of the oscillation stability mechanism in modular multilevel converter-based high voltage direct current (MMC-HVDC) systems and streamline the simulation process for determining MMC impedance characteristics, a simplified mathematical simulation model for MMC closed-loop impedance is developed using the harmonic state space method. This model considers various control strategies and includes both AC-side and DC-side impedance models. By applying a Nyquist criterion-based impedance analysis method, the stability mechanisms on the AC and DC sides of the MMC are examined. In addition, a data-driven oscillation stability analysis method is also proposed, leveraging a global sensitivity algorithm based …

Path Planning Of Desert Robot Based On Deep Reinforcement Learning, Ming Li, Wangzhong Ye, Jiehua Yan

Journal of System Simulation

Abstract: Due to the complexity and variability of the desert environment, the key to the high-efficient of mobile robot is how to avoid obstacles and plan its path. To solve the problems of poor search efficiency and slow convergence of deep reinforcement learning algorithm in complex environment, an improved deep reinforcement learning path planning algorithm is proposed. The exploration factor is improved and dynamically adjusted according to the convergence degree of the algorithm, so that the exploration factor dynamically decreases with the increase of the understanding degree of the agent to the environment, thus speeding up the convergence speed of …

Investigating Catalytic Conversion Of Lignin To Valuable Products, Jialiang Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Lignin is a complex, random, and heterogeneous biopolymer in lignocellulosic biomass. It has significant potential for conversion into valuable chemicals and fuels. However, its natural recalcitrant structure has made selective depolymerization challenging. This dissertation presents a detailed investigation into the mechanisms of lignin disassembly and structural evolution under various catalytic and solvent conditions. The research spans three key studies. In Chapter 2, operando magic-angle spinning (MAS) solid-state nuclear magnetic resonance (NMR) spectroscopy was employed to study reaction pathways and kinetics of lignin model polymers during catalytic hydrogenolysis. We used a Ni-Al2O3 catalyst in methanol under high temperature and pressure, and …

Investigating Catalytic Conversion Of Lignin To Valuable Products, Jialiang Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Lignin is a complex, random, and heterogeneous biopolymer in lignocellulosic biomass. It has significant potential for conversion into valuable chemicals and fuels. However, its natural recalcitrant structure has made selective depolymerization challenging. This dissertation presents a detailed investigation into the mechanisms of lignin disassembly and structural evolution under various catalytic and solvent conditions. The research spans three key studies. In Chapter 2, operando magic-angle spinning (MAS) solid-state nuclear magnetic resonance (NMR) spectroscopy was employed to study reaction pathways and kinetics of lignin model polymers during catalytic hydrogenolysis. We used a Ni-Al2O3 catalyst in methanol under high temperature and pressure, and …

Econometric Insights Into Lng Carrier Port Congestion And Energy Inflation: A Data-Driven Approach, Stavros Karamperidis, Konstantinos Melas, Nektarios Michail

Plymouth Business School

We examine how LNG carrier port congestion in European ports, measured via detailed vessel-level AIS data, affects euro area energy inflation. As energy inflation significantly affects headline inflation, this study provides an additional factor that can contribute to inflationary pressures. Overall, the results show that higher port congestion increases natural gas prices with the latter having an impact on energy inflation. The reaction stands at 0.1% per 1% shock in port congestion. These findings underline the relationship between the shipping industry and the real economy and support the view that shipping developments can potentially be used as leading indicators.

Effects On Maternal And Pregnancy Outcomes Of First-Trimester Malaria Infection Among Nulliparous Women From Kenya, Zambia, And The Democratic Republic Of The Congo, Sequoia I. Leuba, Daniel Westreich, Carl L. Bose, Andrew F. Olshan, Steve M. Taylor, Antoinette Tshefu, Adrien Lokangaka, Waldemar A. Carlo, Elwyn Chomba, Musaku Mwenechanya, Edward A. Liechty, Sherri L. Bucher, Osayame A. Ekhaguere, Fabian Esamai, Paul Nyongesa, Saleem Jessani, Sarah Saleem, Robert L. Goldenberg, Janet L. Moore, Tracy L. Nolen, Jennifer Hemingway-Foday, Elizabeth M. Mcclure, Marion Koso-Thomas, Richard Derman, Matthew Hoffman, Steven R. Meshnick, Melissa Bauserman

Department of Medicine Faculty Papers

BACKGROUND: Few studies have assessed the impact of first-trimester malaria infection during pregnancy. We estimated this impact on adverse maternal and pregnancy outcomes.

METHODS: In a convenience sample of women from the ASPIRIN (Aspirin Supplementation for Pregnancy Indicated risk Reduction In Nulliparas) trial in Kenya, Zambia, and the Democratic Republic of the Congo, we tested for first-trimester Plasmodium falciparum infection using quantitative polymerase chain reaction. We estimated site-specific effects on pregnancy outcomes using parametric g-computation.

RESULTS: Compared to uninfected women, we observed the adjusted site-specific prevalence differences (PDs) among women with first-trimester malaria of the following pregnancy outcomes: preterm birth …

Strict Liability And Coach Employment Contracts, Josh Lens

Seton Hall Law Review

No abstract provided.

Family Care And Health Behavior: A Sociocultural Perspective On Ebola Virus Disease Transmission In Sierra Leone, Abubakarr Jalloh

Journal of Social, Behavioral, and Health Sciences

The 2013–2016 Ebola virus disease (EVD) outbreak in West Africa was the largest and deadliest in the four-decade history of the disease. This study examined the sociocultural context of EVD transmission during the outbreak, with a particular focus on a high-risk behavior—caring for sick relatives. Guided by a sociocultural perspective on health, it specifically explored the role of family-based caregiving practices in the transmission of EVD during an outbreak. Utilizing a qualitative collective case study, I interviewed three Ebola survivors in Makeni, Sierra Leone. Content analysis resulted in two themes: (1) family care and perceived EVD transmission and (2) how …

Sdilj V. 26-1 Masthead

San Diego International Law Journal

No abstract provided.

Evolving Uk Biology Education, Helen R. Watson

Peninsula Medical School

School science curriculum reform is underway in the UK. Whilst each of the four devolved nations is at a different stage in this process, it is clear we are entering an era of opportunity for positive change, where curricula can be updated to reflect our current understanding of science and to better prepare learners for further study, work, and modern life more broadly.

Developing Naturalistic Precision Functional Mapping For High-Density Diffuse Optical Tomography, Aahana Bajracharya

McKelvey School of Engineering Graduate Student Theses & Dissertations

Advancements in non-invasive imaging have enabled extensive research into higher-order cognitive functions of the brain. Functional Magnetic Resonance Imaging (fMRI) has provided valuable insights into brain networks underlying various cognitive processes. However, limitations such as confined environments and scanner noise pose challenges for fMRI to be broadly applicable across all demographics and experimental conditions, especially in speech and language studies. Because of this, there is a need for complementary techniques that can help understand the brain as it functions during everyday scenarios. High Density Diffuse Optical Tomography (HD-DOT) is an emerging functional near-infrared spectroscopy-based technique with comparative advantages over fMRI, …

Defining The Chondrocyte “Mechanome”: How Mechanosensitive Ion Channels Trpv4 And Piezo1 Drive Changes In Gene Expression To Affect Cell Behavior And Cartilage Health, Daniel Raymond Palmer

McKelvey School of Engineering Graduate Student Theses & Dissertations

Chondrocytes, the only native cell population of cartilage, utilize mechanosensitive transmembrane ion channels to sense mechanical forces. Transient Receptor Potential Vanilloid 4 (TRPV4) is activated by physiologic levels of load (resulting in ~10% tissue deformation) while PIEZO1 is activated by supraphysiologic levels of load (resulting in >50% tissue deformation). TRPV4 activation promotes the expression of a limited number of chondrogenic genes and the production of vital cartilaginous matrix proteins, while PIEZO1 activation drives cell death and senescence, cytoskeletal weakening, and production of catabolic mediators, which contribute to the development of osteoarthritis (OA). However, the path connecting activation of these channels …

Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s Disease (AD) is the leading cause of dementia, characterised by cognitive and functional impairments that disrupt daily activities. Different clinical modalities such as neuroimaging biomarkers, cognitive assessments, fluid biomarkers and genetic data provide unique and complementary information, contributing to a more comprehensive understanding of disease progression and heterogeneity in disease characteristics. With recent advancements in computational capabilities, particularly in deep learning, multimodal representation learning frameworks aim to integrate diverse clinical modalities into a cohesive framework, capturing the most significant patterns within each modality. Existing data-driven multimodal representation learning frameworks in AD research have two major limitations. First, AD progresses …

The Encoding Of Decision Variables In Orbitofrontal Cortex (Ofc) Is Longitudinally Stable And Varies By Cortical Layer, Manning Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Economic choices entail computing the values of different options and then making choice by comparing values. Work in primates and rodents has shown that these mental processes rely on the OFC. Neurophysiology studies identified in OFC distinct groups of neurons encoding the value of individual options, the binary choice outcome, and the chosen value. These variables capture both the input and the output of the decision process, suggesting a decision circuit existing in OFC. A primary challenge for the field is to assess the structure and mechanisms governing this circuit. A first fundamental question is whether the circuit is stable …

Integrating Physics And Deep Learning For Transmission-Less Attenuation Compensation In Clinical Spect, Zitong Yu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Attenuation compensation (AC) is beneficial for visual interpretation and serves as a prerequisite for quantification tasks in single-photon emission computed tomography (SPECT) imaging. However, conventional AC methods typically rely on a separate X-ray CT component, leading to multiple challenges. In this context, studies have shown that scatter-window projection data contains information to estimate the attenuation distribution. Furthermore, large amounts of SPECT emission data in both photopeak and scatter-energy windows and corresponding CT scans are available. The ability of deep learning (DL) to model complex relationships by leveraging large datasets motivates its use for transmission-less AC in SPECT. Building upon the …

Development Of Computational Imaging Pipelines To Advance Quantitative Co-Clinical Imaging And Pathology, Kaushik Dutta

McKelvey School of Engineering Graduate Student Theses & Dissertations

Deep learning driven computational methods have profoundly impacted medical imaging by advancing feature extraction, and by establishing a critical foundation for downstream image analysis and interpretation. Co-clinical trials are an emerging area of investigation in which a clinical trial is coupled with a corresponding preclinical study to inform the corresponding clinical trial to enhance translational accuracy and therapeutic development. Within this framework, quantitative imaging and pathology plays a fundamental role in both clinical and preclinical arms of co-clinical trials. Quantitative imaging enables enabling identification and validation of imaging biomarkers which are leveraged to predict therapeutic response, characterize disease phenotypes, and …

Developing Naturalistic Precision Functional Mapping For High-Density Diffuse Optical Tomography, Aahana Bajracharya

McKelvey School of Engineering Graduate Student Theses & Dissertations

Advancements in non-invasive imaging have enabled extensive research into higher-order cognitive functions of the brain. Functional Magnetic Resonance Imaging (fMRI) has provided valuable insights into brain networks underlying various cognitive processes. However, limitations such as confined environments and scanner noise pose challenges for fMRI to be broadly applicable across all demographics and experimental conditions, especially in speech and language studies. Because of this, there is a need for complementary techniques that can help understand the brain as it functions during everyday scenarios. High Density Diffuse Optical Tomography (HD-DOT) is an emerging functional near-infrared spectroscopy-based technique with comparative advantages over fMRI, …

Defining The Chondrocyte “Mechanome”: How Mechanosensitive Ion Channels Trpv4 And Piezo1 Drive Changes In Gene Expression To Affect Cell Behavior And Cartilage Health, Daniel Raymond Palmer

McKelvey School of Engineering Graduate Student Theses & Dissertations

Chondrocytes, the only native cell population of cartilage, utilize mechanosensitive transmembrane ion channels to sense mechanical forces. Transient Receptor Potential Vanilloid 4 (TRPV4) is activated by physiologic levels of load (resulting in ~10% tissue deformation) while PIEZO1 is activated by supraphysiologic levels of load (resulting in >50% tissue deformation). TRPV4 activation promotes the expression of a limited number of chondrogenic genes and the production of vital cartilaginous matrix proteins, while PIEZO1 activation drives cell death and senescence, cytoskeletal weakening, and production of catabolic mediators, which contribute to the development of osteoarthritis (OA). However, the path connecting activation of these channels …