Digital Commons Network^™

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 …

Quantitative Approaches To Dissect Bivalent Antibody Binding And Detect Viruses From Aerosolized Samples, Ananya Benegal

McKelvey School of Engineering Graduate Student Theses & Dissertations

Influenza A virus (IAV) poses substantial epidemiological burdens around the world, with an estimated annual global mortality rate in the hundreds of thousands. Its rapid rate of mutation gives it a propensity for causing seasonal epidemics and occasional pandemics. As an airborne virus, IAV is most commonly transmitted through droplets and aerosols. Antibodies play a crucial role in the immune defense against IAV infection. By understanding the mechanisms of antibody-mediated defense and the transmission dynamics of IAV, we can better inform strategies for prevention, vaccination, and treatment, ultimately mitigating its impact on public health. The work encompassed in this dissertation …

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 …

Bone-Ivd Crosstalk And The Role Of Rage Signaling In An Ivd Injury Model, Remy Walk

McKelvey School of Engineering Graduate Student Theses & Dissertations

Low back pain (LBP) is the number one musculoskeletal cause of disability with a lifetime prevalence of up to 85%. The causes of LBP are multifactorial with potential contributions from factors such as tissue injury and degeneration as well as social economic and psychological factors. Intervertebral disc (IVD) degeneration is associated with 26-40% of LBP cases and in a 2015 meta-analysis, it was estimated that a total 403 million people suffer from symptomatic IVD degeneration. IVD degeneration is characterized by loss of hydration in the nucleus pulposus (NP), damage accumulation in the annulus fibrosus (AF) and calcification of the cartilaginous …

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 …

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 …

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 …

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 …

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 …

Discrete Element Method For Mining Industrial Applications: Solving The Clumping Problem Caused By Bulk Cohesive Particles In An Iron Ore Beneficiation Process, Shuang Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

The discrete element method (DEM) is a widely used numerical approach for simulating and analyzing the behavior of granular materials in various applications. This research focuses on the iron ore beneficiation process, addressing the clumping issue in cohesive iron ores from existing crushing processes through a novel double-layered disperser design. The significance of this study lies in its potential to enhance the efficiency of the existing crushing phase and improve the linkage to subsequent purification stages that target smaller-sized iron ore pellets, thereby enhancing the overall efficiency of the ore beneficiation process and achieving significant energy savings. This research adopts …

Pan-Cancer Analysis Of Rna Dysregulation, Somatic Mutations, And Matrix Stiffness Using Bioinformatics Approaches, Gongyu Tang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cancer is a complex disease driven by genetic mutations, epigenetic modifications, and alterations in the tumor microenvironment. Understanding these intricate molecular mechanisms is crucial for advancing cancer diagnosis, prognosis, and treatment. RNA sequencing (RNA-seq) has emerged as a powerful tool to study cancer by providing comprehensive insights into gene expression, alternative splicing, and mutations at the transcriptome level. This dissertation leverages RNA-seq data to explore different dimensions of cancer biology through multi-omics integration and computational approaches. The research is divided into three main projects. First, I developed OncoDB, an interactive database to analyze gene expression, methylation patterns, and viral interactions …

Discrete Element Method For Mining Industrial Applications: Solving The Clumping Problem Caused By Bulk Cohesive Particles In An Iron Ore Beneficiation Process, Shuang Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

The discrete element method (DEM) is a widely used numerical approach for simulating and analyzing the behavior of granular materials in various applications. This research focuses on the iron ore beneficiation process, addressing the clumping issue in cohesive iron ores from existing crushing processes through a novel double-layered disperser design. The significance of this study lies in its potential to enhance the efficiency of the existing crushing phase and improve the linkage to subsequent purification stages that target smaller-sized iron ore pellets, thereby enhancing the overall efficiency of the ore beneficiation process and achieving significant energy savings. This research adopts …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites And Insufficiently Reclaimed Areas – Racetrack Borrow Material Usage (Dated December 19, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Importance Of Social Support During Pregnancy For Girls With Limited Education, Mairo V. Bello

Walden Dissertations and Doctoral Studies

Social support signifies a system that provides for family, relatives, and friends or is derived from external sources such as social services or health promotion networks and can reduce depression and increase well-being. Absent from the literature was the understanding of the significance of social support for young women with limited education aged 18-25 on the journey from conception to the postpartum period in Nigeria. In this qualitative phenomenological study, the individual perception, attitude, and social support received by young women with limited education during pregnancy in Wudil LGA of Kano state in northern Nigeria were examined. The study addressed …

Impact Of Global Environmental Changes On The Range Contraction Of Eurasian Moose Since The Late Pleistocene, Magdalena Niedziałkowska, Marcin Górny, Joanna Gornia, Danijela Popović, Mateusz Baca, Urszula Ratajczak-Skrzatek, Oleksandr Kovalchuk, Maciej Sykut, Małgorzata Suska-Malawska, Paweł Mackiewicz, Emilia Hofman-Kamińska, Rafał Kowalczyk, Maxim Czarniauski, Kamilla Pawłowska, Daniel Makowiecki, Larisa Tataurova, Alexey Bondarev, Andrey Shpansky, Albert V. Protopopov, Aleksandr Dmitrievich Sorokin, Urmas Saarma, Pavel Kosintsev, Ulrich Schmölcke, Jarosław Wilczyński, Grzegorz Lipecki, Adam Nadachowski, Gennady G. Boeskorov, Gennady F. Baryshnikov, Roberto Zorzin, Nadezhda Vorobiova

School of Geography, Earth and Environmental Sciences

Climatic oscillations are considered primary factors influencing the distribution of various life forms on Earth. Large species adapted to cold climates are particularly vulnerable to extinction due to climate changes. In our study, we investigated whether temperature increase since the Late Pleistocene and the contraction of environmental niche during the Holocene were the main factors contributing to the decreasing range of moose (Alces alces) in Europe. We also examined whether there were significant differences in environmental conditions between areas inhabited by moose in Europe and Asia, that could support the division of moose into western and eastern forms, as suggested …

The Search For Unenumerated Fundamental Rights, Alina Sluzhyvenkova

Student Theses and Dissertations

There are certain rights that are explicitly enumerated in the Constitution, e.g., right to bear arms, right to free speech, right to a speedy and public trial. There are also rights that aren’t specifically written out but are nevertheless enjoyed by people nationwide. Rights that aren’t explicitly mentioned in the Constitution, but which are fundamental to are called the unenumerated rights. Unenumerated rights are just as important and can be derived from natural law, enumerated rights, the Ninth Amendment, precedents, judicial opinions, and substantive due process.

Substantive due process is a principle guaranteed by the Fifth and Fourteenth Amendments, which …

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 …

Action Logic And Agenda Game Of Global Methane Emission Control And China’S Countermeasures, Bo Zhang, Jinling Guo, Bing Zhong, Junlian Gao, Guosheng Zhang, He Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Originated from the global response to climate change, methane emission control has evolved into a focus of international climate negotiations in recent years. At present, the agenda for controlling methane emission in global climate governance is basically taking shape, but in the process of shifting from scientific consensus to political consensus, the content of the topic and the focus of the game continue to evolve. To carry out global action, it is necessary to address issues such as the allocation of responsibilities, international rules, climate investment and financing, and risk prevention, as well as the basic capacity guarantees behind them. …

Architecture And Key Technologies Of New Research Informatization Infrastructure Platform Under The Fifth Research Paradigm, Fangyu Liao, Yang Wang, Rongqiang Cao, Bo Zhang, Zhenyu Li, Huajin Wang, Xin Chen, Dong Li, Yangang Wang, Xin Wei

Bulletin of Chinese Academy of Sciences (Chinese Version)

The basic platform of research informatization is an indispensable pedestal for modern scientific research and an important manifestation of national scientific and technological innovation capability. As the research paradigm continues to evolve, the architecture and technologies of research informatization infrastructure platform are bound to evolve as well. The new research paradigm brings unique demands and challenges to the algorithmic computility, network transmission capacity, and data storage and management. Consequently, it is an urgent requirement for research informatization infrastructure platform to make technological breakthroughs in the areas of intelligent computility, large-scale data storage and high throughput read/write, cross-network software and hardware …

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 …

China’S Rare Earths Trade Flow Analysis: Trade Patterns And Strategic Insights, Linbin Tang, Peng Wang, Wei Chen, Yawen Han, Yuning Jin, Zilong Peng, Weiqiang Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Rare earth elements are strategic critical metals that support low-carbon energy, aerospace, and defense technologies. Currently, China’s rare earth industry lacks competitiveness and faces the risk of “multidimensional pressures” in global competition. Therefore, it is crucial to systematically analyze the supply-demand and trade patterns of rare earths, accurately identify the bottlenecks and pain points in China’s entire rare earth industry chain, and provide strategies to transform China’s rare earth resource advantage into a strategic competitive edge. Based on customs trade data, this study traces the trade flows of various forms of rare earth products across the full industry chain in …

How Should China Respond To “Pan-Data Sovereignty” Competition Among China, U.S., And Eu—An Analysis Based On The Digital Stack Model?, Yan Liu, Congjing Ran

Bulletin of Chinese Academy of Sciences (Chinese Version)

Data sovereignty has become deeply intertwined with various economic and social development factors such as technology, trade, economy, culture, society, and politics, leading to a “Pan-Data Sovereignty” competition pattern in the digital space. Through the digital stack model, which examines digital technologies in a layered framework, we can more clearly assess the competitive capacities in“Pan-Data Sovereignty” of China, United States, and European Union. The analysis identifies a three-tiered global “Pan-Data Sovereignty” competition structure among China, U.S., and EU, with each entity holding distinct advantages across various layers of the digital stack. Intense future competition is anticipated in fields such as …

Research And Reflection On Transformation Of Resource-Based Cities In China—A Case Study Of Datong City, Shanxi Province, Zhijian Xiong, Hong Zhao, Xiuli Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Currently, there are 262 resource-based cities in China, of which mature and declining cities account for 79.39%. These cities have made significant contributions to the country’s economic and social development, but now they are facing severe challenges and difficulties, and their transformation problems urgently need to be solved. This work studies the mechanism of resource-based transformation and proposes strategies for the transformation of resource-based cities: (1) Transformation should be comprehensive, balanced, and sustainable; (2) Transformation should fully leverage the leading role of the market while also taking into account the fundamental role of the government; (3) Transformation should fully leverage …

A Comprehensive Usability And Economic Analysis Of Heat-Related Wearable Technologies: Applications To Occupational Health, Ryan T. Cannady

Theses & Dissertations

The purpose of this research was to analyze the usability and economic considerations of real-time wearable technologies that are implemented in occupational settings to assess risk of heat stress and heat strain. The study population included current agriculture workers and Department of Energy (DOE), Environmental Management (EM) contractors. We employed a mixed-methods approach to comprehensively analyze the usability and economic considerations of heat-related technologies. Specifically, our approach assessed three distinct aspects the applications of these technologies in occupational settings to comprehensively address our research objective: (1) worker perceptions of heat-related wearable technologies, (2) field-based assessment of these heat-related wearable technologies, …

Enhancing Concrete Sustainability With Self-Healing Technologies, Al Shimaa Abdullatif

Theses and Dissertations

Thanks to its strength, durability and affordability, Portland cement concrete is the most commonly used building material worldwide. However, concrete cracking is inevitable due to numerous factors including shrinkage, exposure to external chemicals, internals reactions, excessive loads, to name but a few. Self-healing is a promising technique that can enable concrete to autogenously heal cracks and alleviate much of the damage. Such healing can without a doubt extend the service life with less need for external repair works therefore it contributes to sustainability. Over the years, several means of self-healing agents have been explored including bio-based procedures and the incorporation …

Beyond Bindis, Bhajis, Bangles And Bhangra: Promoting Multiculturalism In Primary Schools In Predominantly White British Places, Suparna Bagchi

School of Law, Humanities and Social Sciences

Twenty-first-century education as a powerful means of knowledge will possibly be shaped by the emphasis it places on having classrooms that are race-conscious and multicultural. The present article is based on a doctoral study that explores an under-researched area: experiences and understanding of multiculturalism in mainstream primary schools situated in the predominantly White places of Southwest England. The study was underpinned by a sociocultural theoretical framework; data were collected through semi-structured interviews with the adult participants, students’ classroom activities, and documentary analysis of school displays. The article focuses on the data generated from the students’ classroom activities. Findings show differences …

Womb, Gravity, And Space: Shifting Towards The Cerebellum-Basal Ganglia Paradigm In Dystonia, Diego Iacono

Department of Neurology Faculty Papers

No abstract provided.