Digital Commons Network^™

Optimizing The Synthesis And Characterization Of Garnet-Type Thin Film Ceramic Electrolytes For Solid-State Lithium Batteries, Richard Li

Mechanical Engineering and Materials Science Independent Study

This study focuses on the synthesis and characterization of thin-film ceramic electrolytes, specifically Lithium Lanthanum Zirconium Oxide (LLZO) and Lithium Lanthanum Zirconium Tantalum Oxide (LLZTO), for application in solid-state lithium batteries (SSBs). These materials, known for their high ionic conductivity and chemical stability, are critical for enhancing the performance and safety of next-generation energy storage systems. However, stabilizing the high-conductivity cubic phase at room temperature remains a challenge.

To address this, innovative synthesis techniques, including electrospinning and tape casting, were employed to produce nanostructured fibers and films. Various experimental parameters, such as precursor composition, milling conditions, and environmental controls, were …

Reimagining The Machine Vision Pipeline In Cyber Physical Systems For Trustworthiness And Efficiency, Adith Boloor

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cyber-physical systems (CPS), including autonomous vehicles, drones, and mobile robots, rely on intricate sensors, actuators, and machine learning algorithms to perceive the physical world and execute actions within their surroundings. In the context of vision-driven CPS, achieving this demands processing a substantial volume of visual data captured by on-board cameras. The data is subsequently channeled through digital processors and harnessed by deep neural networks for tasks such as image classification, object detection, and depth perception. This data-centric, machine-vision-infused CPS fosters intelligent decision-making, thereby enhancing overall system performance. Trustworthiness, encompassing the robustness of the entire machine-vision pipeline, and system-level efficiency are …

Reimagining The Machine Vision Pipeline In Cyber Physical Systems For Trustworthiness And Efficiency, Adith Boloor

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cyber-physical systems (CPS), including autonomous vehicles, drones, and mobile robots, rely on intricate sensors, actuators, and machine learning algorithms to perceive the physical world and execute actions within their surroundings. In the context of vision-driven CPS, achieving this demands processing a substantial volume of visual data captured by on-board cameras. The data is subsequently channeled through digital processors and harnessed by deep neural networks for tasks such as image classification, object detection, and depth perception. This data-centric, machine-vision-infused CPS fosters intelligent decision-making, thereby enhancing overall system performance. Trustworthiness, encompassing the robustness of the entire machine-vision pipeline, and system-level efficiency are …

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 …

Prospective, Crossover, Comparative Study Of Two Methods Of Chlorhexidine Bathing, Richard J. Hankins

Theses & Dissertations

Bathing intensive care unit (ICU) patients with chlorhexidine gluconate (CHG) decreases hospital acquired infections (HAIs). The optimal method of CHG bathing remains undefined. Prospective cluster crossover study comparing CHG daily bathing with 2% CHG impregnated cloths versus 4% CHG solution. In phase 1, from January 2020 through March 2020, one ICU utilized 2% cloths, while the other ICU utilized 4% solution. After an interruption caused by the COVID-19 pandemic, in phase 2, from July 2020 through September 2020, the unit CHG bathing assignments were reversed. Swabs were performed three times per week from patients’ arms and legs to measure skin …

November 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Citation Practices Of Contrasting Cultures In Q1 Journal Articles, April Rose C. Gonzales

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Citation is a distinguishing feature in research writing that every researcher must include to ensure credible ethical research. Citing sources is necessary as it provides credit to the original author, refers to previous findings, sets credibility, and enables sustainability of the topic. However, studies least consider culture as an element that influences citation beliefs and practices. Most literature holds a lack of language proficiency as the culprit for poor citation skills. Drawing from Hofstede's Cultural Dimension theory (2011) and Lewis’ (2006) Cultural Behaviour in Relation to Writing, this study explores the influence of culture on citation practices with the hope …

Exploring Student Engagement In A Blended And Gamified Statistics And Probability: Designed With Learning Styles And Player Types, Reymund R. Gonowon

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Educators are called to contribute towards achieving SDG 4: Quality Education. A major determinant in achieving this goal is providing learners with essential skills such as analyzing and interpreting data, making inferences, and driving evidence-based decisions which are the expected competencies in Statistics and Probability (STATPRO), one of the core subjects of the senior high school curriculum in the Philippines. To progress towards SDG 4, achieving the learning competencies of STATPRO is vital, however engaging students in a blended learning environment may be challenging. This study aims to explore the behavioral engagement of students in a gamified STATPRO class through …

Develop New Quality Science-Communicative Forces To Support New Quality Productive Forces, Jiarui Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The importance of science communication has been elevated to an unprecedented height in China, as an important part of the national innovation system, and as important as scientific and technological innovation. Scientific and technological innovation is the core driving force for the development of new quality productive forces, and it is obvious that science communication plays an equally important role in promoting the development of new quality productive forces. This kind of role of science communication is named as new quality science-communication forces, which is mainly reflected in four aspects: creating an ecological environment conducive to innovation; advancing cutting-edge new …

On Relationship Between Experiment And Theory In Basic Scientific Research, Changpu Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Understanding how experiments in basic scientific research “confirm” theories is crucial for upholding the spirit of science and fostering technological innovation. Mr. Zhou Guangzhao conducted an in-depth discussion on this topic in his early work. This study further analyzes the issue from the perspective of the philosophy of science. We derive falsificationism from a Bayesian perspective, providing a philosophical understanding of the proper handling of the relationship between scientific theory and experiment. By examining the relationship between theory and experiment in physics, this study proposes a philosophy of science concept of progressive falsifiability, emphasizing that through Bayesian methods, experiments can …

Scientifically Improving Human-Nature Relationship In Desertification Areas, Bojie Fu, Yanxu Liu, Shuai Wang, Junfeng Song, Zejiang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The expansion trend of desertification in China has been fundamentally restrained. In the new era, scientifically improving the relationship between human and nature in desertification areas to promote regional sustainable development has become an important demand for desertification combat in China. We summarize four key challenges to sustainable development in desertification areas, including increasing human demand on water, increasing land use intensity, increasing climatic risk, and insufficient industrial innovation. Based on the theoretical understanding of the coupling relationship between human and nature, the evolution of human-nature relationship in combating desertification can be divided into four stages, namely, extensive land exploitation, …

Overall Promotion Of Integrated Management And Utilization Of Saline-Alkali Land In Northwest China: Conditions, Challenges, And Recommendations, Qi Feng, Xinwei Yin, Meng Zhu, Jutao Zhang, Wei Liu, Haiyang Xi, Tengfei Yu, Linshan Yang, Wen Liu, Zhixiang Lu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cultivated land is the lifeblood of grain production and the foundation for food security. Saline-alkali land in Northwest China is an important cultivated land reserve resource and a potential granary for guaranteeing national food security, so the high-quality promotion of comprehensive management and utilization of saline-alkali land in Northwest China is a strategic measure to achieve the goal of “storing grain in land and technology”. Based on a profound understanding of the great significance for promoting the integrated management and utilization of saline-alkali land in Northwest China, this study systematically summarizes the quantity, distribution pattern, and utilization potential of saline-alkali …

A Study On Common Characteristics And Mechanisms On Growth Of Strategic Scientists From Perspective Of Life Course Theory, Chenghua Lin, Weijia Zhang, Yanyi Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

This study was conducted on six renowned strategic scientists in China using the life cycle theory framework. The research explored the key competency characteristics, growth trajectories, and influencing factors in their growth process. The findings revealed that the capabilities of Chinese strategic scientists encompass four dimensions: scientific metacognition, strategic planning, team coordination, and spiritual leadership. These capabilities exhibit staged development characteristics, including phases of enlightenment, wisdom enhancement, and molding. They are influenced by a comprehensive range of factors, including the influence of others, resource conservation, and career construction. To further optimize the environment for cultivating and utilizing strategic scientists in …

Bulletin Of Chinese Academy Of Sciences, Vol. 38 (2024) Subject Index

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Cover 2

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Cover 3

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

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 …

The Environmental Rule Of Law's Transformative Power, Mariano H. Novelli

Seattle Journal of Technology, Environmental, & Innovation Law

The Environmental Rule of Law is proposed as an ecocentric, transformative, and dynamic model. As a principle of governance, it implies values and standards that give rise to a new paradigm based on sustainable development, climate stability, and the circular economy, specifically focused on fundamental rights and obligations. Key factors of the Rule of Law revolution are the collective character of the environment, diffuse rights, the recognition of future generations and nature as legal subjects, and various principles with a strong protective purpose. The growing integration between human rights and the environment is another feature of the process, to be …

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 …

Electric Utility Industry Safety Plan Filing And Accident Reporting Impact On The Number Of Accidents, Rishi Singh

Walden Dissertations and Doctoral Studies

Safety is of paramount importance in the electric utility industry. Construction is the basis of electric work and is one of the most dangerous industries, with a high rate of accidents and fatalities. The purpose of this quantitative correlational study was to examine the relationship between the organizational leaders’ decision to file safety plans and accident reporting to the Occupational Safety and Health Administration or utility commissions on the number of accidents in the electric utility industry. The decision-making theory provided the study’s foundation. The study used secondary data from 2019 to 2023 for electric utility companies from California. Published …

Board Of Officers - Vol. 55, No. 2 2024

Seton Hall Law Review

No abstract provided.

Leave The Kids Alone: The Constitutional Battleground Of Gender-Affirming Health Care Bans For Transgender Youth, Tyler Callagy

Seton Hall Law Review

No abstract provided.

Fda Approval Of Zuranolone: A Breakthrough Treatment For Postpartum Depression, Connor Dains, Makayla Eversole, Kiley Devoll, Daniella Egbujor, Marisa Petrunich, Madilyn Paphanchith, Joshua Honaker, Samantha Mccord, Manoranjan D'Souza

Pharmacy and Wellness Review

Postpartum depression (PPD) is a serious medical condition that increases the risk of postpartum mortality and affects the ability of a postpartum individual to take care of their newborn. Until 2023, intravenously-administered brexanolone was the only Food and Drug Administration (FDA)-approved medication for PPD. Brexanolone’s route of administration poses significant barriers to accessibility and convenience. Other treatment options, such as psychotherapy and antidepressants, often require long-term commitment and may not provide rapid relief for severe symptoms. In August 2023, the FDA approved zuranolone as an oral medication for PPD, which enhances treatment accessibility and offers patients a more flexible, outpatient …

From Policymaking To Legislation, The Need For A Secular Turn In Bioethics Discourse To Uphold, As A Function Of The Greater Good, Policy For Legislation Of Medically Aided Dying In The United States Of America, Scott Dyer

Electronic Theses and Dissertations

A person’s right to self-determination is a central aspect of living in a democratic nation. Similarly, decisions regarding medical care are generally left up to the patient to determine what treatment is or is not appropriate. The same should apply to end-of-life care as well, especially when a patient desires to hasten his or her death via medically aided dying. However, due to the illegality of medically assisted dying in most of the United States, the right to a self-determined death is not possible for the majority of American citizens. One of the main reasons for this is due to …

Engineering Biomaterial Interfaces For Microbial Control, Yikang Xu

Dissertations - ALL

Since its inception as early as ancient Chinese placing bamboo pegs in place of missing teeth over 4,000 years ago, biomaterials have been an indispensable component of medical tools at human’s disposal. While early implants rely solely on the material properties themselves, modern devices have become much more than just materials. Topographic features, coatings, surface energy, and even embedded electronics have all added dimensions to the complexity of biomaterials and medical devices. Interaction between these materials and host cells and tissues, as well as microbes that can cause infections. Although well recognized for its significance, controlling biomaterial associated infections is …

Privacy Protection In Machine Learning Via Exploitation Of Constrained Adversarial Evasion, Brian Testa

Dissertations - ALL

Deep neural networks are extensively applied to real-world tasks. In many cases, the data feeding these tasks are human generated content, which emphasizes the criticality of privacy and data protection. The diverse modalities of this user data provide fertile ground for 3rd parties to monetize a user’s data. This work considers two such modalities: user speech when interacting with smart speaker voice assistants (VAs) and images shared with online service providers. In these cases, the user would like to support some form of machine learning (ML) inference without allowing others. A user interacting with a smart speaker would like the …