Physical Sciences and Mathematics Commons^™

Spatial Agglomeration And Environmental Effects Of Heavy Polluting Industries In China: Characteristics And Enlightenment, Hongyang Chen, Jianhui Yu, Wenzhong Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Heavy polluting industries are the important sources of industrial pollutant. Understanding the spatial agglomeration characteristics, influencing factors, agglomeration mechanism and environmental effects of China’s heavy polluting industries can help identify potential pollution risk areas to cope with increasingly severe environmental pollution problems. Based on the industrial economic data from 1999 to 2021, the spatial distribution and agglomeration characteristics of heavy polluting industries are characterized. It is found that: (1) Shandong, Jiangsu, Zhejiang, and Guangdong are the regions with high output value of the development of heavy polluting industries in the past 20 years, while Xinjiang, Inner Mongolia, Shanxi, Shaanxi, Henan, …

Five Issues And Countermeasures Of China Cropland Resource Use, Sijing Ye, Changqing Song, Changxiu Cheng, Peichao Gao, Shi Shen, Wangshu Mu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Understand the cropland use situation, analyze management countermeasures, and explore the regional suitable cropland use mode are important prerequisites for the implementation of the strictest protection of cultivated land strategy with Chinese characteristics. At present, the cropland resource utilization in China is facing the five issues of non-agricultural, non-grain, fragmentation, marginalization, and ecological degradation. This study estimates the spatial-temporal changes of these cropland use issues in China, analyzes the challenges of cropland use governance from the aspects of complex driving factors, phase characteristics, cognitive differences of responsible subjects, and dynamic changes of external factors. On this basis, the countermeasures of …

Research On Geographical Landscape Design Of Ecological Civilization Construction In China, Wenzhong Zhang, Jianhui Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the fundamental goal of ecological civilization construction in the new era of China, the building of a Beautiful China is an important measure to promote the study of Chinese man-land relationships to a higher level and a new stage of development. This study takes the construction of ecological civilization of Beautiful China as the orientation, and carries on the frame design to the geographical landscape. The geographical landscape takes the elements of geoscience as the research object and makes a series of reasonable outlook about man-land system according to the interaction mechanism of human-land relationship and the influence of …

Evolution Of Urbanized Area’S Entities And Flow Space Towards High-Quality Development Path In China, Mingxing Chen, Liangkan Chen, Yue Xian, Jiafan Cheng, Longwu Liang, Jing Ma

Bulletin of Chinese Academy of Sciences (Chinese Version)

The eco-environmental conservation and Beautiful China have entered the critical phase. Urbanized areas serve as important spatial carriers in the Beautiful China initiative scenarios, but the most prominent challenges in human-environment relationship and difficult points in building Beautiful China. This study focuses on the physical urban area, and utilizing big data technology to reexamine the spatiotemporal distribution and grouped evolution characteristics of impervious surface in cities, as well as the structural features of urban flow networks from space of flows. Moreover, preliminary thoughts and policy recommendations are provided for promoting high-quality development in urbanized areas of the new era. More …

Studying The Impact Of The Geospace Environment On Solar Lithosphere Coupling And Earthquake Activity, Dimitar Ouzounov, Galina Khachikyan

Mathematics, Physics, and Computer Science Faculty Articles and Research

In solar–terrestrial physics, there is an open question: does a geomagnetic storm affect earthquakes? We expand research in this direction, analyzing the seismic situation after geomagnetic storms (GMs) accompanied by the precipitation of relativistic electrons from the outer radiation belt to form an additional radiation belt (RB) around lower geomagnetic lines. We consider four widely discussed cases in the literature for long-lived (weeks, months) RBs due to GMs and revealed that the 1/GMs 24 March 1991 with a new RB at L~2.6 was followed by an M7.0 earthquake in Alaska, 30 May 1991, near footprint L = 2.69; the 2/GMs …

Advanced Deep Learning Multivariate Multi-Time Series Framework For A Novel Covid-19 Dataset, Swastik Bagga

Electronic Theses and Dissertations

This thesis introduces an innovative framework aimed at addressing the complexities of predicting outcomes in multivariate multi time series datasets in regression analysis. By applying this framework to a novel COVID-19 dataset, it enhances predictive analytics by providing accurate forecasts for epidemic trends at regional or provincial levels, going beyond national-level analysis. The framework incorporates advanced data preprocessing, feature selection, engineering, encoding, and model architecture, effectively capturing intricate variable interactions and temporal dependencies. This makes it a powerful tool for tackling multivariate multi time series regression challenges, offering valuable insights for informed decision-making. Predicting outcomes in such datasets is challenging …

Social Justice Mathematics: Classroom Practices That Give Students Rigor While Building Agency, Emily Marquise

Masters Theses

The purpose of this study is to examine the impact of a social justice approach to mathematics instruction. While many students have math aversion, students in low socioeconomic communities exhibit this to a higher degree putting them at a disadvantage as they progress through their educational career. More than 3.4 million K-12 students in the United States come from families that earn less than the median income yet achieve scores in the top percentile (Wyner et al., 2007). This raises the question of why so many students in low-socioeconomic settings are not given rigorous content that will keep them competitive …

Final 2023 Residential Metals Abatement Program (Rmap) Brw/Belgrade Borrow Submittal, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Quantum Physics-Based Force Field For Biomolecular Simulation, Roseane Dos Reis Silva

Arts & Sciences Electronic Theses and Dissertations

This dissertation explores the development of a physics-based force field meticulously tailored to guide molecular dynamics simulations of biomolecules. At its core, the Hydrogen-like Intermolecular Polarizable Potential (HIPPO) force field emerges as an apex of achievement, devised to refine the precision of short-range intermolecular interactions. HIPPO's inception marks a profound stride towards heightened realism in molecular simulations, anchored in Quantum Physics theory and fortified by state-of-the-art Quantum Chemistry calculations. This force field's efficacy is attested by its systematic application in constructing models featuring diverse organic molecules, from water to benzene, and those with motifs resembling proteins and nucleic acids. HIPPO …

Mitigating The Shortcomings Of Language Models: Strategies For Handling Memorization & Adversarial Attacks, Aly Kassem

Electronic Theses and Dissertations

Deep learning models have recently achieved remarkable progress in Natural Language Processing (NLP), specifically in classification, question-answering, and machine translation. However, NLP models face challenges related to security and privacy. Security-wise, even small perturbations in the input can significantly impact a model's prediction. This highlights the importance of generating natural adversarial attacks to analyze the weaknesses of NLP models and bolster their robustness through adversarial training (AT). Conversely, Large Language Models (LLMs) are trained on vast amounts of data, which may include sensitive information. If exposed, this poses a risk to personal privacy. LLMs can memorize portions of their training …

Influence Of Landscape And Nutrients On Stable Isotope Dynamics And Food Webs In A River Prior To Re-Establishing Fish Migration, Selina Al-Nazzal

Electronic Theses and Dissertations

Great Lakes tributaries are undergoing major ecosystem restoration through dam removal aimed at improving habitat connectivity. Re-establishing connectivity can have consequences for both desirable and undesirable species, especially in watersheds that risk the invasion of non-native species. To predict and evaluate the effects of reconnecting native fish habitats, I used stable isotopes of carbon (δ13C), nitrogen (δ15N), and sulphur (δ34S), spatial stream network (SSN) models and trophic niche measurements to examine the influence of land cover and nutrient concentration on the trophic ecology and distribution of stable isotopes of biofilm, macroinvertebrates, and fishes in the Boardman/Ottaway River (BOR), a tributary …

Understanding The Origin, Evolution, And Dynamics Of Transneptunian Binaries, Benjamin C N Proudfoot

Theses and Dissertations

This dissertation discusses research that focuses on understanding transneptunian objects (TNOs) using a variety of techniques and approaches. In Chapter 1, I introduce the main concepts used throughout this dissertation and discuss the current understanding of the transneptunian region. In Chapter 2, I discuss my efforts to understand how Neptune's late stages of migration affect the Haumea family, the only known collisional family in the transneptunian region. Using advanced simulations of Neptune migration, I find that the Haumea family can plausibly form before the termination of giant planet migration and show that this extensively mixes the family. The simplest explanation …

Choosing A Sophisticated, Robust, And Secure Programming Language, J. Simon Richard

The Downtown Review

This paper explores which programming languages maximize the quality and efficiency of software development projects requiring high levels of sophistication, security, and stability. Of the four languages discussed in this paper—C, C++, Java, and Rust—we conclude that Rust is the best for this application.

Lipid Membrane Self-Assembly And Synthesis In The Lab By Rapid, Low-Cost Microfluidics Approaches, Kathleen Hardwick, Shane O'Reilly

SURE Journal: Science Undergraduate Research Experience Journal

Lipid membranes, which self-assemble in nature and under laboratory conditions, can form vesicles called liposomes. The main uses for liposomes are in drug delivery systems and as animal cell models. From the initial research into lipid membrane science, to the systematic literature review using Web of Science, to refining the project scope, to the description of the method, this project follows the process of developing a method for lipid membrane self-assembly and synthesis in the lab. The result was a rapid prototyping method for fabricating microfluidic devices to test different designs for channels, for use with a liposome synthesis protocol. …

Regulation Of Mirnas In Obesity And Diabetes, Eva Maher, Ava O'Meara, Cathy Brougham

SURE Journal: Science Undergraduate Research Experience Journal

Introduction: The prevalence of obesity and obesity-related secondary disorders has increased dramatically in recent years. Dysregulated microRNA (miRNA) expression has been linked to the development of obesity and its associated disorders. Adipose derived stem cells (ADSCs) are promising cell models of obesity, obesity-related inflammation and diabetes. Furthermore, miRNA expression profiles have emerged as promising targets for the novel treatment of diseases such as obesity. In order to enhance miRNA-based therapies, the miRNA expression profile of obesity and its related disorders must be monitored to further understand the underlying mechanisms of obesity and to identify novel targets.

Aim: The aim of …

The Potential Of Stem Cell Therapy In Multiple Sclerosis Treatment: A Review, Sorina Amarculesei, Ava O'Meara Cushen, Cathy Brougham

SURE Journal: Science Undergraduate Research Experience Journal

Multiple Sclerosis is an autoimmune and neurodegenerative disease of the central nervous system. There are currently 2.8 million people living with Multiple Sclerosis worldwide, including 9000 people in Ireland, with a prevalence of 193 per 100,000 people. Symptoms of Multiple Sclerosis include sensory loss, fatigue, cognitive dysfunction, spasticity, depression, optic neuritis, gait ataxia, diplopia, and loss of bladder control. Currently, there is no standardised treatment or cure for Multiple Sclerosis with many strategies focusing on symptoms. Stem cells have emerged as promising approaches for Multiple Sclerosis therapeutics. Clinical trials primarily focus on mesenchymal stem cell-based therapies for Multiple Sclerosis. Furthermore, …

Editorial - Sure Journal Vol 5, Anne M. Friel

SURE Journal: Science Undergraduate Research Experience Journal

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Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System For Efficient, Sustainable, And Self-Adaptive Urban Environments, Elham Okhovat

Electronic Thesis and Dissertation Repository

This thesis proposes the concept of the Policy-based Autonomic Smart City Management System, an innovative framework designed to comprehensively manage diverse aspects of urban environments, ranging from environmental conditions such as temperature and air quality to the infrastructure which comprises multiple layers of infrastructure, from sensors and devices to advanced IoT platforms and applications. Efficient management requires continuous monitoring of devices and infrastructure, data analysis, and real-time resource assessment to ensure seamless city operations and improve residents' quality of life. Automating data monitoring is essential due to the vast array of hardware and data exchanges, and round-the-clock monitoring is critical. …

Ungrading: Reflections Through A Feminist Pedagogical Lens, Erin M. Eggleston, Shelby Kimmel

Feminist Pedagogy

Ungrading is a pedagogical approach in which no grades are given on any assignments. Instead, students are provided with many opportunities to submit work and gain feedback. The goal is to shift student focus from achieving a grade to growth as a learner and a person. As instructors, our ungrading approach utilized personalized learning plans, checkpoint reflections, and student-professor learning conferences to put agency in the hands of our students. We employed this method in upper-level biology and computer science courses and provide critical reflections here regarding our experiences and the connections between this approach and feminist STEM pedagogy tenets. …

Centering Equity In Stem Teaching: Stem Ideas That Change The World, Ileana Vasu

Feminist Pedagogy

No discussion on equity/inequity makes sense without bringing power into that discussion. As instructors we need to ask questions such as “who decides and controls what knowledge is”, “whose identities are empowered and whose are erased”, “who has access and opportunity and who doesn’t”. Traditional teaching in STEM, including mathematics, assumes knowledge is objective, transmittable, repeatable to everyone. When educators follow a traditional curriculum, just like their teachers before them, they do so thinking their methods ensure equality and objectivity. These practices not only deny the role that Western patriarchal cultures have played in creating these so-called equitable practices, but …

Building Community, Competency, And Creativity In Calculus 2: Summary Of A Pilot Year Of Project Implementation, Jennifer Beichman, Candice R. Price

Feminist Pedagogy

In light of the COVID-19 pandemic, instructional modes at our institution moved to fully online and remote, then fully online but on campus, and back to in-person learning in fall 2021. To combat perceived issues in student engagement, we piloted using group projects in place of exams at the natural content break points in Calculus 2.

Feminist Pedagogy In Stem: The Intersection Of Stem Pedagogy And Feminist Theory, Lesley-Ann Giddings, Candice R. Price

Feminist Pedagogy

No abstract provided.

Progress Towards The Development Of Asymmetric Conditions For Intramolecular Heteroatom/Dehydro-Diels-Alder Reactions For Synthesizing Furo[3,4-C] Pyranones And Anticancer Podophyllotoxins, Peter Mpaata

Theses and Dissertations

Furo[3,4-c] pyranone is a unique bicyclic molecular structure found in bioactive sesquiterpene isobolivianine and in artificial cytotoxic stilbene derivatives. The structure of furo[3,4-c] pyranone is analogous to cyclopenta[c] pyran structure found in potent cytotoxic iridoids like catapol. Chiral substrates for intramolecular hetero-Diels-Alder (IHDA) reaction have been synthesized in yields ranging from 39% to 81%. These compounds undergo [4+2] cycloaddition via ambimodal/ bispericyclic process to give a mixture of furo[3,4-c] pyranone in yields ranging 40-70% and aryl tetralin lactone derivatives. Density functional theory (DFT) calculations have been performed to gain insight into the mechanism leading to the formation of these compounds. …

Non-Fungible Tokens (Nfts) - Survey Of Current Applications, Evolution And Future Directions, Qaiser Razi, Aryan Devrani, Harshal Abhyankar, Gss Chalapathi, Vikas Hassija, Mohsen Guizani

Machine Learning Faculty Publications

Non-fungible tokens (NFTs) have become an exciting technology that provides a fresh perspective on asset ownership, provenance, and value exchange. NFTs, a blockchain-based technology, are distinct and indivisible cryptographic tokens used to confirm and record the ownership of digital and physical assets in an immutable and transparent way. The fundamental block of NFT is a smart contract built on a blockchain network. This contract contains specific information about the asset it represents, such as its unique identifier, metadata, and ownership details. The information is kept private and tamper-proof due to the decentralized and distributed structure of the blockchain, boosting faith …

Studi Alimentari Italiani E Geologia: Vino E Vulcani Da Diverse Prospettive, Maria Varriale Gomez

Italian Renaissance Foodways

Nel mio progetto di integrazione avanzata, mi impegnerò in un'esplorazione interdisciplinare del vino. Analizzerò il vino utilizzando gli studi alimentari italiani e la geologia, concentrandomi in particolare sugli effetti che i vulcani hanno avuto sul vino in Italia sin dal Medioevo e dal Rinascimento. Nel corso della storia, il vino è stato una parte cruciale della cultura italiana e i vulcani del paese hanno influenzato la produzione della bevanda in modi diversi come la varietà delle uve coltivate e il suo sapore basato sulla composizione del terreno vulcanico. Le numerose regioni in Italia producono vino diverso in gran parte a …

Limit Distributions Of Products Of Independent And Identically Distributed Random 2 × 2 Stochastic Matrices: A Treatment With The Reciprocal Of The Golden Ratio, Santanu Chakraborty

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Consider a sequence (Xn)n≥1 of i.i.d. 2×2 stochastic matrices with each Xn distributed as μ. This μ is described as follows. Let (Cn,Dn)T denote the first column of Xn and for a given real r with 012 is very challenging. Considering the extreme nontriviality of this case, we stick to a very special such r, namely, r=√5−12 (the reciprocal of the golden ratio), briefly mention the challenges in this nontrivial case, and completely identify λ for a very special situation.

Simulating Government Institutions In Networked Societies, Michael Richards

Theses and Dissertations

Modern human societies give rise to the expression of complex group dynamics between the members of said society due to the abundance of continued interactions. Of particular interest are how institutions affect these interactions between societal members, alter the resulting group dynamics, and impact society as a whole through their rules. Simulating these dynamics allows for greater insight into how these institutions function and allows researchers to pose interesting questions and test hypotheses within a laboratory setting. We present a novel approach to simulating institutions, particularly governments, within a networked society. This approach builds upon the Junior High Game, which …

Local Atomic And Magnetic Structure Of Multiferroic (Sr,Ba)(Mn,Ti)O3, Braedon Jones

Theses and Dissertations

We present a detailed study of the local atomic and magnetic structure of the type-I multiferroic perovskite system (Sr,Ba)(Mn,Ti)O3 using x-ray and neutron pair distribution function (PDF) analysis, polarized neutron scattering, and muon spin relaxation (μSR) techniques. The atomic PDF analysis reveals widespread nanoscale tetragonal distortions of the crystal structure even in the paraelectric phase with average cubic symmetry, corresponding to incipient ferroelectricity in the local structure. Magnetic PDF analysis, polarized neutron scattering, and μSR likewise confirm the presence of short-range antiferromagnetic correlations in the paramagnetic state, which grow in magnitude as the temperature approaches the magnetic transition. We show …

Tiny Machine Learning For Underwater Image Enhancement: Pruning And Quantizaition Approach, Dr Khaled Nagaty, The British University In Egypt, Andreas Pester Dr

Computer Science

Many people have expressed an interest in underwater image processing in a variety of fields, including underwater vehicle control, archaeology, marine biological studies, etc. Underwater exploration is becoming an increasingly important element of our lives, with applications ranging from underwater marine and creature research to pipeline and communication logistics, military use, touristic and entertainment use. Underwater images suffer from poor visibility, distortion, and poor quality for a variety of causes, including light propagation. The major issue arises when these images must be captured at depths greater than 500 feet and artificial lighting needs to be provided. Efficient algorithms and models …

Roadside Lidar Data Processing For Intelligent Transportation System, Md Parvez Mollah

Computer Science ETDs

Roadside LiDAR (Light Detection and Ranging) sensors are recently being explored for Intelligent Transportation System aiming at safer and faster traffic management and vehicular operations. However, massive data volume, occlusion, and limited viewing angles are significant obstacles to the widespread use of roadside LiDARs. In this dissertation, we address three major challenges to enable applications of Intelligent Transportation System through roadside LiDAR data: (i) real-time transmission of the massive point-cloud data from the roadside LiDAR devices to the cloud using 5G network, (ii) mitigating sensor occlusion problem to increase coverage and detect events occurred in occluded regions of a sensor, …