Physical Sciences and Mathematics Commons^™

Investigating The Cellular Localization, Trafficking, And Biological Function Of Ghrelin O-Acyltransferase, Sadie Xiao Hua Novak

Dissertations - ALL

Ghrelin O-acyltransferase (GOAT) catalyzes the acylation and activation of ghrelin, a peptide hormone involved in a range of physiological pathways and therapeutic target for metabolism-linked diseases such as obesity and diabetes. GOAT was determined to be localized in the membrane of the endoplasmic reticulum (ER) in early cell-based studies, but recent patient studies detected this integral membrane enzyme in blood plasma and urine. These findings challenge the current understanding of GOAT’s cellular localization, and it may provide a potential mechanism for ghrelin re-acylation by plasma membrane-resident GOAT. The work described in this dissertation aimed to define the intracellular trafficking mechanism …

Studies Towards Improved Gravitational Wave Detector Thermodynamics, Daniel Vander-Hyde

Dissertations - ALL

Since the first gravitational wave detection, the Laser Interferometric Gravitational Wave Observatories (LIGO) combined with an expanding and co-observing global gravitational wave network (i.e. Virgo, KAGRA) has worked to increase a novel and growing astronomical data catalog of gravitational wave detections. With each additional observing run, rates of detection continue to increase with iterative upgrades to detector technology. Discussed within this thesis are considerations pertinent to the improvement of Dual Recycled Fabry-Perot Michelson interferometer (DRFPMI) thermodynamics proposed during LIGO's third observing run (O3) for present and future detectors. The first chapter reviews fundamental material relevant to gravitational waves and how …

Re: Silver Bow Creek Butte Area Npl Site 2nd Quarter 2024 Butte Priority Soils Operable Unit Interim Site-Wide Surface Water Monitoring Data Report. Consent Decree- Civil Action No. Cv 89-039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Exploration Of Positive Deviance In Prevention Of Underweight In The Under-Five: A Qualitative Study On Low-Income Urban Families, Irwan Budiono, Lukman Fauzi, Dewi Sari Rochmayani

Kesmas

Children under the age of five (the under-five) from low-income families are more vulnerable to experience underweight. This nutritional vulnerability is evident in the preliminary study, where 35.1% of the under-five experience underweight, and 28.48% are low-income families. This study aimed to explore Positive Deviance (PD) behaviors in preventing underweight among the under-five. The study applied a qualitative approach with a case study design. Data collection took place in July-August 2022, focusing on low-income families in the Gunung Brintik area. Data were collected through two focus group discussions, seven in-depth interviews, and five key informant interviews. Coding, subtheme, and theme …

Risk Factors For Cognitive Impairment In Adult Population Of Coastal Area: A Cross-Sectional Study In Maringkik Island, Indonesia, Herpan Syafii Harahap, Arina Windri Rivarti, Nurhidayati Nurhidayati, Fitriannisa Faradina Zubaidi, Dini Suryani, Legis Ocktaviana Saputri, Yanna Indrayana, Athalita Andhera, Muhammad Hilam, Abiyyu Didar Haq

Kesmas

Cognitive impairment is a medical condition commonly found in elderly populations, which can be due to vascular risk factors in patients. There remains limited data on risk factors for cognitive impairment among coastal region populations. This study aimed to investigate risk factors for cognitive impairment in the adult population of Maringkik Island, West Nusa Tenggara Province, Indonesia. Data collected were age, sex, education level, hypertension, antihypertensive treatment, diabetes mellitus, cigarette smoking, and body mass index status. A total of 114 participants were recruited using a consecutive sampling method. The participants’ cognitive function assessment used the Mini-Cog instrument. The cognitive impairment …

Variation And Predictors Of Covid-19 Mortality In Hospitalized Cases In West Sumatra Province, Indonesia: A Retrospective Observational Study, Defriman Djafri, Ade Suzana Eka Putri, Yudi Pradipta

Kesmas

During 2020, the year of the COVID-19 pandemic, different Indonesian provinces had different numbers of COVID-19 infections and fatalities, particularly in West Sumatra Province. This study aimed to investigate the variation of confirmed COVID-19 cases and determine predictors of mortality in hospitalized patients across districts in West Sumatra Province. A retrospective observational study was conducted during the COVID-19 pandemic. From March 2020 to June 2021, 46,005 confirmed cases were collected in the province, of which 42,308 were hospitalized and analyzed. Confirmed cases and deaths were compared by geographic location using spatial analysis. The risk predictors of death were estimated using …

Competition Effects In An Intraguild Predation Model, Nicholas A. Eekhof

Electronic Thesis and Dissertation Repository

In the biological world, many interactions exist between various species. These interactions generally consist of predator-prey relationships, competition between species and beneficial relationships. One observed phenomenon, termed the fear effect, occurs when one species reacts to an increased risk of predation by another species. The fear response causes the affected species to reproduce and forage for food less. In some cases, the fear response can be beneficial, while in other times it can be harmful. In this thesis, we consider a four compartment food-chain model in which there exists a top-level predator, a mesopredator and two types of prey who …

2024 August 22 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Open-Loop Wavefront Sensing In The Presence Of Speckle And Weak Scintillation, Derek J. Burrell, Mark F. Spencer, Ronald G. Driggers

Faculty Publications

In this paper, we show that speckle averaging helps to reduce the measurement error associated with a Shack–Hartmann wavefront sensor (SHWFS); however, this reduction is rendered ineffective with increasing beacon anisoplanatism. We do so operating in a weak-scintillation regime, where the SHWFS offers robust performance, and using in-plane translation of the illuminated rough surface to accomplish frame-to-frame speckle diversity. Understanding these trade-space limitations is critical when performing wavefront sensing with noncooperative, extended-source beacons.

Host-Pathogen Co-Evolution With Various Transmission Modes Of Infection And Density-Dependent Dynamics, Bita Ghodsi

Electronic Thesis and Dissertation Repository

Pathogens can be transmitted both vertically (from the parent to the offspring) and horizontally. Here, I model the co-evolution of pathogens and their hosts allowing for vertical and horizontal transmission and density-dependent host population growth. My analysis uses evolutionary game theory. I use computational methods to find that increasing vertical transmission does not always result in more benign disease outcomes. Instead, it can lead to higher pathogen-induced mortality. Furthermore, more benign outcomes evolve more readily when horizontal transmission is more profitable for the pathogen, and overall virulence increases as horizontal transmission becomes more profitable. The results also indicate that vertical …

Understanding Protein Deep Learning Models Through Explainability, Zahra Fazel

Electronic Thesis and Dissertation Repository

This thesis investigates the application of Explainable Artificial Intelligence (XAI) techniques to deep learning models in the field of protein analysis, specifically targeting protein language models and protein interaction site prediction models. Despite the increasing adoption of these sophisticated deep learning models in bioinformatics, their intrinsic complexity often results in a black-box nature, obscuring the understanding of their decision-making processes.

This research represents a thorough effort to integrate explanation methods within this context. We analyze the resulting interpretations using biological-specific statistical tests to enhance the transparency and interpretability of the models. This work evaluates the efficacy of current XAI methods …

Quantum Field Theory And The Limits Of Reductionism, Emily Adlam

Mathematics, Physics, and Computer Science Faculty Articles and Research

I suggest that the current situation in quantum field theory (QFT) provides some reason to question the universal validity of ontological reductionism. I argue that the renormalization group flow is reversible except at fixed points, which makes the relation between large and small distance scales quite symmetric in QFT, opening up at least the technical possibility of a non-reductionist approach to QFT. I suggest that some conceptual problems encountered within QFT may potentially be mitigated by moving to an alternative picture in which it is no longer the case that the large supervenes on the small. Finally, I explore some …

The Bicomplex Tensor Product And A Bicomplex Choi Theorem, Daniel Alpay, Antonino De Martino, Kamal Diki, Mihaela Vajiac

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this paper we extend the concept of tensor product to the bicomplex case and use it to prove the bicomplex counterpart of the classical Choi theorem in the theory of complex matrices and operators. The concept of hyperbolic tensor product is also discussed, and we link these results to the theory of quantum channels in the bicomplex and hyperbolic case.

An Online Nanoinformatics Platform Empowering Computational Modeling Of Nanomaterials By Nanostructure Annotations And Machine Learning Toolkits., Tong Wang, Daniel P Russo, Philip Demokritou, Xuelian Jia, Heng Huang, Xinyu Yang, Hao Zhu

College of Science & Mathematics Departmental Research

Modern nanotechnology has generated numerous datasets from in vitro and in vivo studies on nanomaterials, with some available on nanoinformatics portals. However, these existing databases lack the digital data and tools suitable for machine learning studies. Here, we report a nanoinformatics platform that accurately annotates nanostructures into machine-readable data files and provides modeling toolkits. This platform, accessible to the public at https://vinas-toolbox.com/, has annotated nanostructures of 14 material types. The associated nanodescriptor data and assay test results are appropriate for modeling purposes. The modeling toolkits enable data standardization, data visualization, and machine learning model development to predict properties and bioactivities …

Molecular Docking, Pharmacological Profiling, And Molecular Dynamics Simulation Of Potential Antihyperuricemic Agent From Secondary Metabolites Of Dillenia Philippinensis Rolfe (Dilleniaceae), Louie Rince C. Suyo, John P. Paulin, Nicole Clarence Louise L. Gapaz, Markus Brent S. Arevalo, Vince Tyrell P. Yongco, Librado A. Santiago

Karbala International Journal of Modern Science

Crystal accumulation in the joints due to increased serum uric acid (sUA) may lead to an inflammatory condition called gout. Increased sUA is caused by the excessive reabsorption of the urate anion transporter-1 (URAT-1). Therefore, URAT-1 inhibition will promote uric acid excretion and reduce the risk of having gout. Dillenia philippinensis Rolfe, often known as katmon, is an endemic plant in the Philippines with bioactive compounds associated with several therapeutic benefits. The present study represents the first scientific inquiry into the antihyperuricemic potential of compounds isolated from D. philippinensis. This study aimed to assess the interaction of URAT-1 with …

Osculating Curves, Sepideh Bahrami

Electronic Thesis and Dissertation Repository

Consider a complex analytic curve $X$ in $\mathbb{C}^2$, along with a specific point $p \in X$. The primary concern arises in approximating geometrically the curve $X$ precisely at the point $p$. Analogously, in introductory calculus, students learn to compute the tangent line to the graph of a function $y=f(x)$ at a given point $p=(x_*,f(x_*))$ by utilizing the derivative of $f$ at $x_*$.

For analytical convenience, we assume a local representation of the curve $X$ using a power series expansion. This representation centers the point $p$ at the origin $(0,0) \in \mathbb{C}^2$. Thus, our mathematical input becomes a Taylor series:

\[ …

Coal Mines In Light Of The Provisions Of The Proposed Regulation Of The European Parliament And Of The Council On The Reduction Of Methane Emissions In The Energy Sector, Amending Regulation (Eu) 2019/942, Magdalena Zięba, Jacek Skiba, Piotr Kalisz, Regina Kościarz, Adam Smoliński

Journal of Sustainable Mining

In December 2021, the European Commission presented a draft Regulation of the European Parliament and of the Council on the reduction of methane emissions in the energy sector and amending Regulation (EU) 2019/942. The article summarizes the proposed EU rules on methane emissions from coal mines. In addition, it summarizes the figures of anthropogenic methane emissions for the European Union countries from the three main emission sources: agriculture, waste and the energy sector. The volumes of methane emissions from EU and Polish coal mines are also presented and divided into underground and surface mines, as well as active mines, abandoned …

Exploring The Efficiency Of Nitrogenated Carbon Quantum Dots/Tio2 S-Scheme Heterojunction In Photodegradation Of Ciprofloxacin In Aqueous Environments, Yilmaz Ateş, Zafer Eroğlu, Özkan Açişli, Önder Meti̇n, Semra Karaca

Turkish Journal of Chemistry

The usability of polyvinyl chloride-based quaternary triethanol ammonium chloride anionite (PVC-TEAC) as a potential extractant for tungstate was investigated to recover tungstate from Gabal Qash Amir, Egypt, assaying 70.91% WO3. Structure elucidation for PVC-TEAC anionite was successfully carried out using several techniques. Experimental measurements, such as pH, agitation time, initial tungsten concentration, anionite dose, co-ions, temperature, and eluting agents, have been optimized. It was found that PVC-TEAC anionite has a maximum capacity of 63 mg per gram. From the distribution isotherm modeling, Langmuir’s model fits the experimental results better than Freundlich’s, with a theoretical value of 61.728 mg g–1. According …

Synthesis And Characterization Of New Hexahydroquinoline Derivatives, Evaluation Of Their Cytotoxicity, Intracellular Ros Production And Inhibitory Effects On Inflammatory Mediators, Ezgi̇ Pehli̇vanlar, Deni̇z Arca Çakir, Sonia Sanajou, Hülya Tezel Yalçin, Terken Baydar, Pinar Erkekoğlu, Hani̇fe Avci, Rahi̇me Şi̇mşek

Turkish Journal of Chemistry

Inflammation is a response to injury and infection in the organism. It can be categorized as acute and chronic inflammation. Chronic inflammation is the underlying cause of many diseases such as Alzheimer's, diabetes, rheumatoid arthritis, atherosclerosis and cardiovascular diseases. Recent studies have proven the anti-inflammatory properties of 1,4-dihydropyridines (1,4-DHPs) and its derivatives, which have many biological properties including calcium channel blockers. The structures of the synthesized compounds were elucidated by IR, 1H-NMR, 13C-NMR and HRMS methods. The cytotoxic properties of the compounds were determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method in 3T3 cell line. Among the 15 compounds, the three compounds …

Research And Practice Of Digital Institute And Its System Framework, Jianjun Yu, Yue Wang, Kongmin Wang, Zhuomin Shi

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of the digital economy, digital scientific research and digital government are both crucial components, serving as application scenarios enabled by new information technologies. Currently, the new generation of information technologies, especially artificial intelligence and big data, is instrumental in modernizing governance at scientific research institutions within Chinese Academy of Sciences (CAS). They notably drive paradigm shifts in scientific activities and accelerate the digital transformation of these institutions. The digital system formed by the digital transformation of management processes in scientific activities at research institutes is defined as the digital institute. This study analyzes the impact of digital …

Natural Resource Factors Promoting Urban And Rural Integrated Development In The New Era: Target Selection And Policy Design, Zhimin Zhang, Guohua Yuan, Ruilin Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Reconstructing the reverse flood of natural resource elements in rural and urban regional systems is the basic form of requirement for realizing urban-rural integration. Taking target selection-realistic obstacles-institutional demand-system construction as the logical main line, starting from the current situation of natural resource element allocation under the framework of urban-rural integrated development, it sorted out the problems existing in the urban-rural integrated development of natural resources such as asymmetrical property rights design, inconsistent bearing plans of various types, lack of natural resource revenue sharing mechanism, and poor asset flow channels and trading systems, with unified layout, power return, paid use, …

Developing Green Design, Leading Green And Low-Carbon Society, Yongxiang Lu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Green design refers to a design principle and method that comprehensively considers energy and resource conservation, emission reduction, and environmental impact during the product manufacturing and operation process in the product design stage. It strives to reduce greenhouse gas emissions throughout the entire product lifecycle. In the era of information networks, green design is supported by big data, AI network collaborative design, network detection and monitoring, etc. It involves selecting energy-saving processes, green and low-carbon materials, and optimizing product geometry design and surface treatment to achieve efficient resource utilization and minimize waste. For example, selecting environmentally friendly materials through networked …

Challenges And Recommendations For Building Open Source Innovation Ecosystem For Large-Models In China, Xin Wen, Chao Zhang, Rui Guo, Kaihua Chen, Ze Feng, Qigang Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Addressing the current technological development issues that constrain the development of China’s large-scale model industry is needed to promote the continuous prosperity and development of the industry and enhance its international competitiveness. The study analyzes the significance of the open-source innovation ecosystem for the development of large-scale models in China. Based on reviewing the international experience of constructing the open-source innovation ecosystem, it further dissects the problems and challenges faced by the construction of the open-source innovation ecosystem for large-scale models in China and puts forward targeted suggestions. The study finds that the open-source innovation ecosystem for large-scale models in …

Research And Implications Of The Us Clean Energy Strategy, Lanchun Li, Qing Liu, Wei Chen, Yun Tang, Jun Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the world enters a new period of carbon neutrality, the US government is actively building a clean energy innovation ecosystem through both internal and external measures. Systematically tracking and in-depth analysis of the intent, structure, approach, and other characteristics of the new phase of the US clean energy strategy is of practical significance to Chinese energy revolution. The US focuses on the strategic objectives of science and technology innovation, energy security, and infrastructure, and has constructed an innovation ecology characterized by technology lists, planning blueprints, full-chain research, and innovative subjects from the perspective of whole-government coordination, cross-institutional decision-making, deep …

Effective Carbon Cost Constraints: Unity Of Environmental Effectiveness, Cost Effectiveness, And Incentive Effectiveness, Yongping Sun, Jingning Jiang, Xinyu Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The carbon market serves as a crucial policy tool in the pursuit of carbon peaking and carbon neutrality goals. It holds significant importance in driving the innovation of green and low-carbon technologies in China, facilitating the realization of nationally determined contributions, and bolstering China’s global leadership in climate action. The core function of the carbon market is carbon pricing, which can only be effective and achieve various objectives like carbon emissions reduction and sustainable development when carbon costs are reasonably constrained. Environmental effectiveness, cost effectiveness, and incentive effectiveness are three important dimensions to evaluate the effectiveness of the carbon market, …

Technology Governance And Governance Technology: From Perspective Of Regulatory Research On Blockchain Digital Assets, Yikai Wu, Guoan Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Outline of the 14th Five-Year Plan takes blockchain as one of the key industries of the digital economy, and a number of ministries and commissions have also made clear deployments to accelerate the innovative application of blockchain, promote the digital transformation of the industry, and promote the high-quality development of the economy and society in the policy documents related to the informatization of the industry. The regulation and governance of blockchain digital assets cannot be separated from the understanding and analysis of blockchain technology itself, and observing the development mechanism of blockchain digital assets from the scientific and technological …

Large-Scale Experimental Platform For Dynamic Simulation Of Mountain Hazards (Leads), Gongdan Zhou, Peng Cui, Hongwei Wu, Yong You, Wei Zhong, Dongri Song, Chuiyi Zhou, Hongwei Shen, Mingsheng Shang, Xuerui Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Mountain hazards involve complex multiphase media composed of granular materials and fluids. The challenges related to scale effects and similarity issues in physical modelling of these hazards are key problems in both fundamental research on dynamics of granular materials and applied research in disaster prevention and mitigation. Supported by the Chinese Academy of Sciences’ key scientific infrastructure construction project at the field station network, the National Dongchuan Debris Flow Observation and Research Station in Jiangjia Gully, Dongchuan District, Kunming City completed the construction of the large-scale experimental platform on dynamic simulation of mountain hazards (LEADS) in 2024. This platform is …

International Development Strategy And Analysis Of Science And Technology Trends In Carbon Capture, Utilization, And Storage (Ccus), Aning Qin, Yuling Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the context of carbon neutrality, carbon capture, utilization, and storage (CCUS) technology has emerged as a critical focus for policymakers worldwide. Recognized as a critical tool for combating climate change and achieving carbon neutrality, CCUS has gained widespread endorsement from major nations and international organizations. Through methods such as bibliometrics, text clustering, and comprehensive research involving foreign official institutions and authoritative websites, this study delves into the technology strategy and development trends of CCUS. It is found that various countries，including the United States, Europe, and Japan, have sequentially rolled out CCUS strategies, elevating CCUS to a pivotal national strategic …

A Coarse-Grained Molecular Dynamics Study Of Gas Hydrate Formation And Dissociation, Meisam Adibifard

LSU Doctoral Dissertations

The study of gas hydrates has increased significantly over the last two decades because of their potential application in energy storage, production and transportation, water desalination, refrigeration, gas separation, etc. There is a significant interest in commercially developing natural gas hydrates because the energy content of methane hydrate reservoirs (MHRs) is at least twice that of all conventional fossil fuels combined. Additionally, due to the higher storage capacity of hydrates, it is proposed to sequester CO₂ in the form of CO₂ hydrate, thereby reducing the amount of greenhouse gases. Hence, hydrates offer a dual solution to two of …

Challenges And Practices Of Deep Learning Model Reengineering: A Case Study On Computer Vision, Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis

Computer Science: Faculty Publications and Other Works

Many engineering organizations are reimplementing and extending deep neural networks from the research community. We describe this process as deep learning model reengineering. Deep learning model reengineering — reusing, replicating, adapting, and enhancing state-of-the-art deep learning approaches — is challenging for reasons including under-documented reference models, changing requirements, and the cost of implementation and testing.