Physical Sciences and Mathematics Commons^™

Exploring Cation Exchange: Unveiling Its Significance In Biochar And Bioenergetics Applications, Gyanendra Kharel

Chemistry & Biochemistry Theses & Dissertations

Cation exchange, a cornerstone of soil chemistry and nutrient cycling, is a fundamental chemical process that occurs in soils, sediments, membranes, and other solid materials. It involves the interchange of positively charged ions, or cations, between a solid matrix and a surrounding solution. This process is crucial in various natural and engineered systems, leading to a range of applications across different fields.

This dissertation presents an extensive investigation into the applications of cation exchange in the fields of biochar and bioenergetics, encompassing three distinct aims. The first aim concentrates on the surface oxygenation of biochar through ozonization, aiming to achieve …

Performing Information Extraction For Mission Engineering Applications, Samuel R. Koski

Engineering Management & Systems Engineering Theses & Dissertations

The process of extracting structured data from unstructured and semi-structured text is manual, time consuming and error prone. Current natural language processing approaches for automating this process are difficult to verify for non-trivial and context-sensitive corpora. Large Language Models (LLMs) like ChatGPT have become a subject of considerable interest, opening a promising avenue of exploration. However, there is limited evidence on the performance of LLMs for information extraction.

In this dissertation, an approach is proposed to evaluate the accuracy of Stanford OpenIE and OpenAI's ChatGPT for this purpose. This includes comparing Resource Description Framework (RDF) triples extracted by each of …

Probing Charge Transport Mechanisms In 2d Semiconductive Metal Organic Framewoks, James Nyakuchena

Dissertations (1934 -)

Metal organic frameworks (MOFs) are a class of highly porous crystalline materials constructed from metal nodes connected by multitopic organic ligands. Due to their unique properties such as large surface area, tunable pore structure, and structural diversity, they have demonstrated potential in a wide array of applications including gas storage and separation, sensing, catalysis, and drug delivery. However, there are only a handful of MOFs reported that have electrical conductivity, which prevents their applications in photoelectronic and photocatalytic applications. This is because hard metals and redox inactive ligands with terminal hard linking bases such as carboxylates are often used in …

Generation, Dynamics, And Interaction Of Quartic Solitary Waves In Nonlinear Laser Systems, Sabrina Hetzel

Mathematics Theses and Dissertations

Solitons are self-reinforcing localized wave packets that have remarkable stability features that arise from the balanced competition of nonlinear and dispersive effects in the medium. Traditionally, the dominant order of dispersion has been the lowest (second), however in recent years, experimental and theoretical research has shown that high, even order dispersion may lead to novel applications. Here, the focus is on investigating the interplay of dominant quartic (fourth-order) dispersion and the self-phase modulation due to the nonlinear Kerr effect in laser systems. One big factor to consider for experimentalists working in laser systems is the effect of noise on the …

Implications Of Minimum Description Length For Adversarial Attack In Natural Language Processing, Kshitiz Tiwari, Lu Zhang

Electrical Engineering and Computer Science Faculty Publications and Presentations

Investigating causality to establish novel criteria for training robust natural language processing (NLP) models is an active research area. However, current methods face various challenges such as the difficulties in identifying keyword lexicons and obtaining data from multiple labeled environments. In this paper, we study the problem of robust NLP from a complementary but different angle: we treat the behavior of an attack model as a complex causal mechanism and quantify its algorithmic information using the minimum description length (MDL) framework. Specifically, we use masked language modeling (MLM) to measure the “amount of effort” needed to transform from the original …

A Single Hydrogen Bond That Tunes Flavin Redox Reactivity And Activates It For Modification, Debarati Das, Anne-Frances Miller

Markey Cancer Center Faculty Publications

Electron bifurcation produces high-energy products based on less energetic reagents. This feat enables biological systems to exploit abundant mediocre fuel to drive vital but demanding reactions, including nitrogen fixation and CO₂ capture. Thus, there is great interest in understanding principles that can be portable to man-made devices. Bifurcating electron transfer flavoproteins (Bf ETFs) employ two flavins with contrasting reactivities to acquire pairs of electrons from a modest reductant, NADH. The bifurcating flavin then dispatches the electrons individually to a high and a low reduction midpoint potential (E°) acceptor, the latter of which captures most of the energy. Maximum efficiency …

Enabling Sustainable Mining Via Ai-Based Techniques, Nurul Asyikeen Binte Azhar

Dissertations and Theses Collection (Open Access)

The precedence-constrained production scheduling problem (PCPSP) in Long-Term Mine Planning (LTMP) is NP-hard and conventionally prioritizes the Net Present Value (NPV) of profits. Even so, heightened sustainability concerns necessitate heightened sustainable practices. Yet, research still lags. This dissertation addresses this paucity by integrating sustainability elements through Multi-Objective Optimization (MOO), introducing novel algorithms and proposing an uncertainty assessment within a dual Multi-Objective Evolutionary Algorithm (MOEA) setup.

Firstly, our systematic review of past LTMP research focused on the PCPSP and highlighted sustainability elements. Overall, it furnished real-world components incorporated into mathematical formulations, trends, quality of solutions (efficacy) and computation time (efficiency) of …

Characterizing The Ecological Impacts Of Utility-Scale Solar Energy (Usse) On Fallowed Farmland, Amanda Gersoff

Master's Theses

Large-scale carbon-free energy generation projects such as utility-scale solar energy (USSE) arrays help mitigate the energy sector’s contribution to climate change and are rapidly expanding throughout the U.S. However, the expansion of USSE sites is associated with immediate and longer-term ecological impacts, many of which have yet to be assessed. Quantifying the ecological impacts of USSE arrays will help to identify synergies and trade-offs between energy generation and terrestrial conservation goals. The overall goal of this research is to characterize the ecological impacts of USSE sites located on fallowed farmlands in San Luis Obispo County, California in a seasonally explicit …

Network Level Detection Of Iot Attacks Via Time Series Shape Mining, Srijani Basu

Masters Theses

This research proposes a method, for detecting intrusions in the Internet of Things (IoT) realm. This approach was specifically tested using datasets containing both benign, and attacks on smart home devices like the Belkin Wemo Power Switch, Lifx Smart Bulb, Amazon Echo, and Netatmo Welcome Camera. These attacks consist of specification-compliant volumetric DDoS attacks, which can be both direct and reflective, with very low traffic volumes implemented in an ON-OFF pattern. Here, the ON-OFF pattern can be referred to as a pulse attack strategy.

We combined non-linear statistical moving averages, and Dynamic Time Warping into a single framework that can …

Fluorescence Microscopy With Deep Uv, Near Uv, And Visible Excitation For In Situ Detection Of Microorganisms, Noel Case, Nikki Johnston, Jay Nadeau

Physics Faculty Publications and Presentations

We report a simple, inexpensive design of a fluorescence microscope with light-emitting diode (LED) excitation for detection of labeled and unlabeled microorganisms in mineral substrates. The use of deep UV (DUV) excitation with visible emission requires no specialized optics or slides and can be implemented easily and inexpensively using an oblique illumination geometry. DUV excitation (<280 >nm) is preferable to near UV (365 nm) for avoidance of mineral autofluorescence. When excited with DUV, unpigmented bacteria show two emission peaks: one in the near UV ∼320 nm, corresponding to proteins, and another peak in the blue to green range, corresponding to …

Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking, Xuan Cao

Theses and Dissertations

A robot is proficient if its performance for its task(s) satisfies a specific standard. While the design of autonomous robots often emphasizes such proficiency, another important attribute of autonomous robot systems is their ability to evaluate their own proficiency. A robot should be able to conduct proficiency self-assessment (PSA), i.e. assess how well it can perform a task before, during, and after it has attempted the task. We propose the assumption-alignment tracking (AAT) method, which provides time-indexed assessments of the veracity of robot generators' assumptions, for designing autonomous robots that can effectively evaluate their own performance. AAT can be considered …

Solar Energy Adoption In Unguja, Tanzania: Influence Of Awareness, Socioeconomics, And Technology Knowledge, Maxime Warnery

Independent Study Project (ISP) Collection

This study looked into the effect of information dissemination on the willingness to adopt solar energy on Unguja Island in the Zanzibar Archipelago. Utilizing an information provision survey, I collected data on demographic factors, personal beliefs, and attitudes towards solar energy. The research focused on determining how information provision affects public perceptions and the likelihood of adopting solar technologies. The findings revealed a significant positive correlation between detailed and contextually relevant information and increased acceptance of solar energy solutions. The enhanced intervention was particularly effective in changing beliefs about solar energy's reliability and economic benefits, addressing critical local issues such …

Toward Cyber-Attack Detection For Industrial Internet Of Things Systems Using Machine Learning, Cayden Cather

Honors Theses

In recent years, the way we interact with daily life and industrial environments has changed dramatically due to the rise of the Internet of Things (IoT), from smart homes to industrial control systems. In particular, industry devices, sensors, and actuators can be connected to form various Industrial Internet of Things (IIoT) networks and controlled using operational technologies, such as ICS and SCADA. However, the vulnerabilities and limited security features pose significant challenges in preserving IIoT systems' security as cyber-attacks increase and become more frequent, dynamic, and complex. Additionally, the lack of IIoT testbeds has made it more difficult to find …

Computational Study Of Substituent Effects On The Diels-Alder Reaction Involving Furan And Maleimide For Hydrogel Synthesis, Matthew Phillips

Honors Theses

This research utilized a computational study with SPARTAN’20 software to analyze the energetics of the Diels-Alder (DA) reaction between substituted furan and maleimide. The products of this type of reaction can lead to the production of hydrogels. Hydrogels are used in multiple biomedical applications, such as controlled drug delivery systems, wound dressings (liquid bandages), contact lenses, and more. The DA reaction involves a diene (a hydrocarbon with two conjugated π bonds) and a dienophile (a hydrocarbon with one π bond). Research on the placement of electron withdrawing and electron donating groups onto the dienophile and diene has been completed in …

Digital Frontiers In Aesthetics: Applying Dewey's Insights To Generative Ai, Malcolm F. Lathrop-Allen

Student Publications

The last few years have seen the emergence of ‘artificially intelligent’ systems en masse, which perform tasks which had previously only been possible by human intelligence. Arguably, the impact of ‘AI 2.0’ has been felt most prominently in the art world — artists have panicked as DALL-E, Midjourney, and other image generation algorithms manufacture pieces which previously required weeks of painstaking labor to create. This project seeks to develop a more critical framework for this novel mode of artistic creation and propose better ways of thinking about, using, and “becoming with” artificial intelligence in the domain of artistry. The first …

Marie Curie: The Quantum Matriarch, Diptiman Das

Student Publications

Entitled “Marie Curie: The Quantum Matriarch,” this paper illuminates the extraordinary life and enduring legacy of Marie Curie, whose groundbreaking work in radioactivity revolutionized the scientific landscape. Born as Maria Skłodowska in the heart of Warsaw, Curie’s odyssey from Poland’s clandestine Flying University to the hallowed halls of Paris’ Sorbonne epitomizes her tenacious quest for enlightenment amidst the shackles of societal norms. In collaboration with her spouse, Pierre Curie, she discovered the elements polonium and radium, thereby introducing the concept of “radioactivity” to the world and securing Nobel accolades in both Physics and Chemistry. This paper ventures into her intimate …

Quantum Realities: A Comparative Analysis Of Interpretations Addressing The Measurement Problem In Quantum Mechanics, Adib Kabir

Student Publications

This paper examines the measurement problem in quantum mechanics and evaluates three major interpretations: the Copenhagen interpretation, the Many-Worlds Interpretation (MWI), and the Pilot-Wave theory. The Copenhagen interpretation posits that particles exist in superposition until measured, at which point their wave functions collapse. MWI suggests that all possible outcomes occur in separate, non-interacting branches of the universe, eliminating wave function collapse but introducing an infinite number of unobservable universes. The Pilot-Wave theory reintroduces determinism through hidden variables, guiding particles along definite paths. The paper concludes that the Copenhagen interpretation is the most plausible, balancing empirical adequacy, ontological clarity, and simplicity.

The Effects Of Phenological Shifts On The Reproductive Success Of Common Terns (Sterna Hirundo) And Arctic Terns (Sterna Paradisaea) In The Gulf Of Maine, Jamie W. Dinella

Student Publications

Climate change is resulting in ecosystem-wide consequences, including shifts in the geographical distribution of species and the timing of biological events, or phenology. The rapidly warming Gulf of Maine hosts breeding populations of migratory common terns (Sterna hirundo) and Arctic terns (Sterna paradisaea). I used nest check data (2013-2022) and eggshell membrane stable isotope data (2022) from Petit Manan Island in the Gulf of Maine to examine the causes and consequences of variation in phenology in common and Arctic terns. I hypothesized that the timing of an individual’s breeding was impacted by their foraging behavior and that female terns that …

Water Quality Considerations In Landscaping, Tom Swenson

UNH Cooperative Extension

No abstract provided.

Multi-Aspect Rule-Based Ai: Methods, Taxonomy, Challenges And Directions Towards Automation, Intelligence And Transparent Cybersecurity Modeling For Critical Infrastructures, Iqbal H. Sarker, Helge Janicke, Mohamed A. Ferrag, Alsharif Abuadbba

Research outputs 2022 to 2026

Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets, and services that are vital for the functioning and well-being of a society, economy, or nation. However, the rapid proliferation and dynamism of today's cyber threats in digital environments may disrupt CI functionalities, which would have a debilitating impact on public safety, economic stability, and national security. This has led to much interest in effective cybersecurity solutions regarding automation and intelligent decision-making, where AI-based modeling is potentially significant. In this paper, we take into account “Rule-based AI” rather than other black-box solutions since model transparency, i.e., human …

Matrix Profile Data Mining For Bgp Anomaly Detection, Ben A. Scott, Michael N. Johnstone, Patryk Szewczyk, Steven Richardson

Research outputs 2022 to 2026

The Border Gateway Protocol (BGP), acting as the communication protocol that binds the Internet, remains vulnerable despite Internet security advancements. This is not surprising, as the Internet was not designed to be resilient to cyber-attacks, therefore the detection of anomalous activity was not of prime importance to the Internet creators. Detection of BGP anomalies can potentially provide network operators with an early warning system to focus on protecting networks, systems, and infrastructure from significant impact, improve security posture and resilience, while ultimately contributing to a secure global Internet environment. In this paper, we present a novel technique for the detection …

Nonstationary Recharge Responses To A Drying Climate In The Gnangara Groundwater System, Western Australia, Simone Gelsinari, Sarah Bourke, James Mccallum, Don Mcfarlane, Joel Hall, Richard Silberstein, Sally Thompson

Research outputs 2022 to 2026

The response of groundwater recharge to climate change needs to be understood to enable sustainable management of groundwater systems today and in the future, yet observations of recharge over long-enough time periods to reveal responses to climate trends are scarce. Here we present a meta-analysis of 60 years of recharge studies over the Gnangara Groundwater System of South-West Western Australia, covering a period of sustained drying consistent with climate change projections. The recharge process in the area is defined by a wet winter during which rain saturates a deep, highly permeable soil profile with very low water storage capacity. Measurements …

Combine Shapelets, Zeng Qingwen

LMU Theses and Dissertations

Sensor-based human activity recognition has become an important research field within pervasive and ubiquitous computing. Techniques for recognizing atomic activities such as gestures or actions are mature for now, but complex activity recognition still remains a challenging issue. I was a candidate in an activity classification thesis. It collected 4 activities, which included walking on the sidewalk for a set distance, walking up and down a set of stairs, walking on the treadmill at 2.5 mph for 2 minutes, and jogging on the treadmill at 5.5 mph for 1 minute. It took 30 minutes to collect one candidate data. If …

Observation Of Seven Astrophysical Tau Neutrino Candidates With Icecube, Karen Andeen

Physics Faculty Research and Publications

We report on a measurement of astrophysical tau neutrinos with 9.7 yr of IceCube data. Using convolutional neural networks trained on images derived from simulated events, seven candidate 𝜈_𝜏 events were found with visible energies ranging from roughly 20 TeV to 1 PeV and a median expected parent 𝜈_𝜏 energy of about 200 TeV. Considering backgrounds from astrophysical and atmospheric neutrinos, and muons from 𝜋^±/𝐾^± decays in atmospheric air showers, we obtain a total estimated background of about 0.5 events, dominated by non-𝜈_𝜏 astrophysical neutrinos. Thus, we rule out the absence of astrophysical 𝜈 …

Efficient Photocatalytic Core–Shell Synthesis Of Titanate Nanowire/Rgo, Xiaofang Ye, Yang Tian, Mengyao Gao, Fangjun Cheng, Jinshen Lan, Han Chen, Mark Lanoue, Shengli Huang, Z. Ryan Tian

Chemistry & Biochemistry Faculty Publications and Presentations

Wide bandgap semiconductor-based photocatalysts are usually limited by their low solar energy conversion efficiency due to their limited absorption solar wavelength, their rapid surface recombination of the photogenerated electron–hole pairs, and their low charge-carrier mobility. Here, we report a novel stepwise solution synthesis for achieving a new photocatalytic core–shell consisting of a titanate nanowire/reduced graphene oxide shell (or titanate/rGO) 1D-nanocomposite. The new core–shell nanocomposite maximized the specific surface area, largely reduced the charge transfer resistance and reaction energy barrier, and significantly improved the absorption of visible light. The core–shell nanocomposites’ large on/off current ratio and rapid photo-responses boosted the photocurrent …

A Computer Vision Solution To Cross-Cultural Food Image Classification And Nutrition Logging​, Rohan Sethi, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

The US is a culturally and ethnically diverse country, and with this diversity comes a myriad of cuisines and eating habits that expand well beyond that of western culture. Each of these meals have their own good and bad effects when it comes to the nutritional value and its potential impact on human health. Thus, there is a greater need for people to be able to access the nutritional profile of their diverse daily meals and better manage their health. A revolutionary solution to democratize food image classification and nutritional logging is using deep learning to extract that information from …

Automated Glacier Classification In High Mountain Asia Using Machine Learning And A Random Forest Classifier, Victoria Elizabeth Halvorson

Dartmouth College Master’s Theses

High Mountain Asia (HMA) is home to the largest mass of glaciers and ice outside the north and south polar regions. HMA glaciers are projected to experience accelerated mass loss from higher greenhouse gas emissions through the end of the century. Many studies of glacier mass balance and mass loss in HMA obtain glacier area from the Randolph Glacier Inventory (RGI). However, the RGI is designed to show glacier area across the world that is accurate to the year 2000 and, as a result, is not an accurate representation of the current state of glacier area in HMA. Additionally, glacier …

Determining The Lightcurves And Rotational Periods Of Four Main Belt Asteroids, Kaitlyn Kalisek

Honors Theses

This research found lightcurves and rotational periods of four main belt asteroids, 2854 Rawson, 5142 Okutama, (14362) 1988 MH, and 28248 Barthelemy. The A&M-Commerce observatory 0.7 meter telescope equipped with a CCD camera was used to collect multiple nights of data for each asteroid which was then analyzed to determine the asteroid’s lightcurve, rotational period, and create a possible 3D model. The rotational periods were found to be 4.775 ± 0.001 h for 2854 Rawson, 3.803 ± 0.001 h for 5142 Okutama, 3.645 ± 0.001 h for (14362) 1988 MH, and 3.128 ± 0.002 h for 28248 Barthelemy.

Exploring Practical Measures As An Approach For Measuring Elementary Students’ Attitudes Towards Computer Science, Umar Shehzad, Mimi M. Recker, Jody E. Clarke-Midura

Publications

This paper presents a novel approach for predicting the outcomes of elementary students’ participation in computer science (CS) instruction by using exit tickets, a type of practical measure, where students provide rapid feedback on their instructional experiences. Such feedback can help teachers to inform ongoing teaching and instructional practices. We fit a Structural Equation Model to examine whether students' perceptions of enjoyment, ease, and connections between mathematics and CS in an integrated lesson predicted their affective outcomes in self-efficacy, interest, and CS identity, collected in a pre- post- survey. We found that practical measures can validly measure student experiences.

Impact Of Temperature On The Bionomics And Geographical Range Margins Of The Two-Spotted Field Cricket Gryllus Bimaculatus In The World: Implications For Its Mass Farming, Henlay J.O. Magara, Chrysantus M. Tanga, Brian L. Fisher, Abdelmutalab G.A. Azrag, Saliou Niassy, James P. Egonyu, Sylvain Hugel, Nana Roos, Monica A. Ayieko, Subramanian Sevgan, Sunday Ekesi

All Peer-Reviewed Publications

Gryllus bimaculatus (Orthoptera: Gryllidae) is widely considered an excellent nutrient source for food and feed. Despite its economic importance, there is limited information on the impact of temperature on the bionomics of this cricket to guide its effective and sustainable mass production in its geographical range. The biological parameters of G. bimaculatus were investigated at eight different temperatures ranging from 20–40∘C. The Insect Life-Cycle Modelling (ILCYM) program was used to fit linear and non-linear functions to the data to describe the influence of temperature on life history parameters and its farmability under the current and projected climate for 2050. Our …