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Fibonacci Numbers And Symmetry In Tai-Chi Motions, Matthew He

Mathematics Colloquium Series

In this talk, we first briefly review Fibonaccinumbers and its growth and development inmath, science, arts, culture, and nature, followedby an overview of Tao’s thoughts as an energysource of Tai-Chi motion. We then show thatFibonacci numbers are rooted in Tai-Chi motionand demonstrate that golden rectangle simulatesthe core space of Tai-Chi motions, and circular,spiral, and symmetrical motions can be used todescribe Tai-Chi movements. This talk is broadlydivided into the following three parts: 1.FIBONACCI NUMBERS, GROWTH AND DEVELOPMENT 2.TAO’S THOUGHTS, GROWTH AND DEVELOPMENT 3.TAI-CHI: MOTION OF FIBONACCI NUMBERS AND SYMMETRY

Advancements In The Programmable Hyperspectral Seawater Scanner Measurement Technology For Enhanced Detection Of Harmful Algal Blooms, John J. Langan, Jungyun Bae

Michigan Tech Publications

The Programmable Hyperspectral Seawater Scanner (PHySS) represents a significant breakthrough in monitoring harmful algal blooms (HABs), specifically targeting the “Florida red tide” caused by Karenia brevis. By utilizing a Fourth-Derivative Spectral Similarity Index (SI), this study establishes a strong positive correlation between the SI and phytoplankton counts, underscoring the PHySS’s potential for early detection and effective management of HABs. Our findings suggest that the PHySS could act as a predictive tool, offering crucial lead time to mitigate the ecological and economic repercussions of blooms. However, this study also identifies certain limitations of the PHySS technology, such as its inability to …

Examination Of Photoinduced Radicals In Two Crystal Forms Of Triphenylamine Bis-Urea Macrocycles, Md Faizul Islam, Gamage Isuri P. Wijesekera, Anmon J. Sindt, Mark D. Smith, Linda S. Shimizu

Faculty Publications

This study probes two solvates of triphenylamine (TPA) bis-urea macrocycle 1 and their activated structures to evaluate their maximum photoinduced radicals (PIRs), the subsequent decay of the radicals, and their regeneration. The hierarchical assembly of TPAs shows promise in stabilizing less substituted derivatives, potentially expanding the utility of TPAs that lack stabilizing para-substituents. Single crystal structure analysis reveals that host 1 adopts a planar conformation with the two ureas pointing in opposite directions when dimethoxyethane (DME) is encapsulated within the channel. Whereas previously, 1 adopted a bowl-shaped conformation with the two ureas pointing in the same direction (syn …

Examination Of Photoinduced Radicals In Two Crystal Forms Of Triphenylamine Bis-Urea Macrocycles, Md Faizul Islam, Gamage Isuri P. Wijesekera, Ammon J. Sindt, Mark D. Smith, Linda S. Shimizu

Faculty Publications

This study probes two solvates of triphenylamine (TPA) bis-urea macrocycle 1 and their activated structures to evaluate their maximum photoinduced radicals (PIRs), the subsequent decay of the radicals, and their regeneration. The hierarchical assembly of TPAs shows promise in stabilizing less substituted derivatives, potentially expanding the utility of TPAs that lack stabilizing para-substituents. Single crystal structure analysis reveals that host 1 adopts a planar conformation with the two ureas pointing in opposite directions when dimethoxyethane (DME) is encapsulated within the channel. Whereas previously, 1 adopted a bowl-shaped conformation with the two ureas pointing in the same direction (syn …

Efficient Phosphate Removal From Water Using Ductile Cast Iron Waste: A Response Surface Methodology Approach, Mai Hassan Dr., Nada Alkhashab Eng., Ahmed Osman Dr., Dalia A. Ali Eng

Chemical Engineering

Water scarcity is a critical issue worldwide. This study explores a novel method for addressing this issue by using ductile cast iron (DCI) solid waste as an adsorbent for phosphate ions, supporting the circular economy in water remediation. The solid waste was characterized using XRD, XRF, FTIR, and particle size distribution. Wastewater samples of different phosphate ion concentrations are prepared, and the solid waste is used as an adsorbent to adsorb phosphate ions using different adsorbent doses and process time. The removal percentage is attained through spectrophotometer analysis and experimental results are optimized to get the optimum conditions using Design …

Predictive Residual Neural Networks For Optical Trapping Of Small Particles, Nasim Mohammadi Estrakhri, Ponthea Zahraii, Saman Kashanchi, Nooshin M. Estakhri

Engineering Faculty Articles and Research

Optical tweezers provide a non-contact method to trap, move, and manipulate micro- and nano-sized objects. Using properly designed dielectric and plasmonic nanostructure configurations, optical tweezers have been tailored to create stable and precise trapping for nanoscale objects. Recent advances in numerical optimization techniques allow further enhancement in nanoscale optical traps through inverse optimization of such configurations. One of the main challenges in such optimization approaches is the time-consuming nature of full-wave simulation of nanostructures and postprocessing steps to extract optical forces. To address this challenge, we introduce a surrogate solver based on residual neural networks that can accurately predict the …

Instructional Systems Design: The Diffusion And Adoption Of Technology: (Volume 2), Cassandra Celaya (Author), Pamela J. Downing (Author), Jessica Shifflett (Author), Debbie Gdula (Author), Tracie Barr (Author), Miguel Ramlatchan (Author & Editor)

University Administration Bookshelf

Instructional designers, instructional systems designers, and other educational technologists are, by their nature, innovators. These professionals apply and extend the applied science of learning, systems, communication, and instructional design theory to help students learn. Technology in some capacity is used to make the connections between subject matter experts, teachers, instructors, and their learners. It is common for instructional designers to seek new tools, techniques, and innovations for the improvement of learning, access, quality, and student satisfaction. However, the adoption and diffusion of new educational technology and innovation is a complex process that depends on many variables. Understanding these processes and …

Santa Clara Magazine, Volume 65 Number 2, Fall 2024 [Print Issue 62:2], Santa Clara University

Santa Clara Magazine

12 - INCREASING ACCESS Discerning one’s dream requires a whole set of experiences based on community, opportunity, and, yes, cash. Leslie Griffy

16 - UNPACKING UTOPIA It seems like billionaire-backed utopias are popping up all over the map. What does it take to build a perfect city? Lauren Loftus

22 - A WEALTH OF WELL-BEING In his new book, Professor Meir Statman explores a holistic approach to financial and life well-being. Leslie Griffy

26 - A WOMAN'S PLACE Despite being denied access to the priesthood, Catholic women find new ways to lead. Leslie Griffy

Predictable Differences In Surface Soil Organic Carbon Storage Across Landcover Types Around Ísafjörður, Iceland, Tess Mooney

Iceland: Climate Change and The Arctic

It is unclear how soil carbon varies by landcover type in areas with discontinuous and heterogenous vegetation cover in the Icelandic subarctic. Understanding which landcover types store the most C is important for understanding regional surface C inventory and for making decisions about optimal land use for C sequestration and storage. This study investigates the differences in soil C storage between different vegetation cover types in the Westfjords of northwestern Iceland. The three dominant landcover types in the Westfjords include heathlands, wetlands, and unvegetated areas. When compared across these three landcover types, surface soil C, bulk density, and soil moisture …

Applying Data-Limited Assessment Methods To Charter Logbook Length Data, Brett Crisafulli, Sybrand Alex Hesp, David Fairclough, Emily A. Fisher, Paul D. Lewis, Jeffrey V. Norriss, Corey B. Wakefield, Fabian Trinnie, Stephen J. Newman

Fisheries Research Reports

Marine waters along the Western Australian coastline are characterised by low ecosystem productivity and high species diversity of fishes. With over 3,000 known species comprising estuarine, nearshore, demersal and pelagic fishes in the region, many contribute to important commercial and recreational fisheries (Lenanton et al. 1991; Molony et al. 2011; Newman et al. 2018). As it is logistically and economically infeasible to conduct intensive monitoring and high-level stock assessments of all exploited fish species in Western Australia, indicator species are used to assess the sustainability of suites of species of biological and ecological similarity, for optimal use of available resources …

Unveiling Similarities In The Code Of Life: A Detailed Exploration Of Dna Sequence Matching Algorithm, Mahmoud Y. Shams, Romany M. Farag, Dalia A. Aldawody, Huda E. Khalid, Ahmed K. Essa, Hazem M. El-Bakry, A. A. Salama

Neutrosophic Systems with Applications

Identifying similar DNA sequences is crucial in various biological research endeavors. This paper delves into the intricate workings of a specific algorithm designed for this purpose. We provide a systematic explanation, exploring how the algorithm handles user input, reads stored DNA sequences, utilizes the Word2Vec model for vector representation, and calculates sequence similarity using diverse metrics like Cosine Similarity and Neutrosophic Distance. Additionally, the paper explores the incorporation of neutrosophic values to account for uncertainty in the comparisons. Finally, we discuss the extraction of results, including matched sequences, similarity scores, and accuracy measures. This in-depth exploration provides a clear understanding …

Water Quality Of The Napo River Basin: A Comparative Study Of Streams In Polycultures And Oil Palm Monocultures, Eva C. Andersen

Ecuador: Comparative Ecology and Conservation

Oil palm cultivation has grown rapidly in recent years in Ecuador, resulting in significant economic and environmental changes to the country. In the Northeast Ecuadorian Amazon, a hotspot for both petroleum extraction and oil palm production, poor water quality has been a persistent issue for decades. However, knowledge gaps exist regarding to what extent intensive monocultures, such as oil palm, contribute to poor water quality in this region, and how they compare to other forms of agriculture. This investigation compared water quality in streams of the Napo River watershed running through oil palm monocultures and traditional polycultures. Water quality was …

Confronting The Reproducibility Crisis: A Case Study Of Challenges In Cybersecurity Ai, Richard H. Moulton, Gary A. Mccully, John D. Hastings

Research & Publications

In the rapidly evolving field of cybersecurity, ensuring the reproducibility of AI-driven research is critical to maintaining the reliability and integrity of security systems. This paper addresses the reproducibility crisis within the domain of adversarial robustness—a key area in AI-based cybersecurity that focuses on defending deep neural networks against malicious perturbations. Through a detailed case study, we attempt to validate results from prior work on certified robustness using the VeriGauge toolkit, revealing significant challenges due to software and hardware incompatibilities, version conflicts, and obsolescence. Our findings underscore the urgent need for standardized methodologies, containerization, and comprehensive documentation to ensure the …

Network Analysis Of Virginia’S Mineralogical Systems, Cadence M. Boucher, Ahmed M. Eleish, Robert M. Hazen, Shaunna M. Morrison

Virginia Journal of Science

The principal objective of this study was to use network analysis to identify spatial, geomorphic, physical, and chemical patterns in Virginia’s mineralogical systems. Mineralogical and locality data from mindat.org were visualized as a bipartite force- directed network of the minerals and the counties of Virginia in which they occur. Mineral nodes were sized to represent the number of counties the minerals are found in (i.e., frequency of occurrence) and county nodes were sized to represent the number of minerals found in that county (i.e., mineral diversity). Furthermore, the nodes were colored to display selected attributes of the mineral-county data. County …

2024 Celebration Of Scholarship, Creativity, And Engagement, Todd Bruns, Anna Nelson

Programs

Annually, Eastern Illinois University honors faculty achievements in the areas of research, creativity, and engagement. The list of faculty accomplishments is truly impressive, reflective of an engaged faculty committed to excellence and the ongoing pursuit and creation of knowledge. Many of these accomplishments occurred in collaboration with our students, who serve as co-authors, research assistants and partners in bringing these activities to fruition. In some cases, these professional ambitions transpired over many years and are a testament to persistence and tenacity. We extend a sincere message of congratulations for this diverse range of achievements, which bring distinction to our departments, …

Two Is Enough, But Three (Or More) Is Better: In Ai And Beyond, Olga Kosheleva, Vladik Kreinovich, Victor L. Timchenko, Yury P. Kondratenko

Departmental Technical Reports (CS)

At present, the most successful AI technique is deep learning -- the use of neural networks that consist of multiple layers. Interestingly, it is well known that neural networks with two data processing layers are sufficient -- in the sense that they can approximate any function with any given accuracy. Because of this, until reasonably recently, researchers and practitioners used such networks. However, recently it turned out, somewhat unexpectedly, that using three or more data processing layers -- i.e., using what is called deep learning -- makes the neural networks much more efficient. In this paper, on numerous examples from …

Assessing Synergy With Curcumin & 5-Fu In Breast Cancer, Sa'maira L. Davis, Zeen Ari, Andrea Florian

Science University Research Symposium (SURS)

One in eight women in the United States will be diagnosed with breast cancer in their lifetime. 5-Fluorouracil (5-FU) is the most common chemotherapy drug used to treat breast cancer. As an antimetabolite, 5-FU interferes with cancer cells' ability to replicate DNA, ultimately targeting and killing these cells prior to division. However, 5-FU alone has limitations due to its high toxicity and propensity to induce multidrug resistance. To enhance its efficacy, 5-FU was combined with curcumin, a compound derived from turmeric that has shown potential in reducing cancer cell proliferation. A single-dose response curve, a Singer assay, and western blot …

Decomposition Rates Between Monocotyledon And Dicotyledon Plant Species In A Green Roof Setting, Roma C. Brassell, Sa'maira Davis, Molly Kiwan, Grace Adams, Darlene Panvini

Science University Research Symposium (SURS)

Decomposition is a vital part of ecological regulation that goes hand in hand with nutrient recycling. In this study, an experiment was performed to research the leaf litter decomposition rates between two plants - a monocotyledon, Allium schoenoprasum (Chives), and a dicotyledon, Acalypha virginica var rhomboidei (Virginia Three-seed Mercury), on the Belmont green roofs. Eight litter bags of each plant species were placed on the green roof close to each other and strung together in four bag samples. For four three-week periods, the litter bags containing Chives and Virginia Three-seed Mercury were collected, two bags per species at a time, …

Tabular Data-Centric Ai: Challenges, Techniques And Future Perspectives, Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu

Computer Science Faculty Publications and Presentations

Tabular data are the most widely used data formats in almost every application domain, such as, biology, ecology, and material science. The purpose of tabular data-centric AI is to use AI to augment the predictive power of tabular data to get better AI. Tabular data-centric AI is essential because it can reconstruct distance measures, reshape discriminative patterns, and improve data AI readiness (structural, predictive, interaction, and expression levels), which is significant in industries and real-world deployments. Therefore, our tutorial is designed to capture the interest of professionals with expertise in artificial intelligence, machine learning, and data mining, as well as …

Exploring The Roles Of Genetics, Gender, Nurturing, And Learning Methods In Mathematical Skills Development, Laura Alinani, Jana Shyti

Honors Projects

This research explores the multifaceted factors influencing the development of mathematical competence through a combination of cognitive, psychological, and sociocultural frameworks. The study aims to address how genetic predispositions, nurturing environments, teaching methods, and societal influences interact to shape mathematical abilities. Using insights from genetic research, cognitive psychology, and education theory, we analyze the role of effective teaching methods, such as active knowledge construction and differentiated instruction, in fostering mathematical skills. The study also examines how societal biases, particularly gender stereotypes, impact students' confidence and interest in math. The findings highlight the importance of promoting gender-inclusive practices and early exposure …

Integrated Treatment Of Black Wastewater Using Sedimentation, Constructed Wetland, And Nanoparticles Coagulation, Hussein I. Abdel-Shafy, Mona Mansour, Mohamed A. El-Khateeb, Yang Deng

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The aim of the present investigation was to achieve an efficient treatment for black wastewater for non-restricted reuse. The treatment included sedimentation followed by horizontal flow constructed wetland (HF-CW), and finally chemical coagulation using magnetite (Fe3O4) nanoparticles. For the wetland, the average organic loading rate (OLR) was 42.83 biochemical oxygen demand (BOD)/m2 day and 71.30 g chemical oxygen demand (COD)/m2 day, while average surface loading rate was 0.185 m3/m2 day. The obtained results revealed that removal percentage of COD, BOD, and total suspended solids (TSS) by sedimentation followed by processing through wetlands was 80.3, 81.6, and 80%, which corresponds to …

Lysosomal Storage Disorder: The Mechanism Of Hurler Syndrome, Ashlyn Ryan, Maria Sebastian

Science University Research Symposium (SURS)

Hurler Syndrome is a rare pediatric neurodegenerative disorder, in which patients experience a multitude of symptoms starting around age 3. These symptoms include skeletal abnormalities, cognitive impairment, stunted growth, heart disease, and many others. The life expectancy of a child diagnosed with Hurler Disease is around 10 to 20 years. Currently, there is no cure for Hurler Syndrome and most treatments are targeted at relieving symptoms. Hurler Syndrome is an inherited lysosomal storage disorder defined by an accumulation of mucopolysaccharides, dermatan sulfate (DS) and heparan sulfate (HS) in tissues. Hurler Syndrome is caused by a mutation in the IDUA gene …

Identifying Neural Correlates Of Balance Impairment In Traumatic Brain Injury Using Partial Least Squares Correlation Analysis, Vikram Shenoy Handiru, Easter Selvan Suviseshamuthu, Soha Saleh, Haiyan Su, Guang Yue, Didier Allexandre

School of Computing Faculty Scholarship and Creative Works

Objective. Balance impairment is one of the most debilitating consequences of traumatic brain injury (TBI). To study the neurophysiological underpinnings of balance impairment, the brain functional connectivity during perturbation tasks can provide new insights. To better characterize the association between the task-relevant functional connectivity and the degree of balance deficits in TBI, the analysis needs to be performed on the data stratified based on the balance impairment. However, such stratification is not straightforward, and it warrants a data-driven approach. Approach. We conducted a study to assess the balance control using a computerized posturography platform in 17 individuals with TBI and …

Managing Frost Risk, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Frost occurs on clear nights in early spring when the air temperature drops to 2°C or less. Crop damage from frost may occur at any stage of development but is most damaging at or around flowering.

Frost is difficult to manage, and damage will be unavoidable in some seasons. Risk management options proven to reduce frost risk include paddock zoning, crop and variety selection, time of sowing, stubble management and managing inputs. The greatest gains result from in paddock choice/zoning, crop and variety choice, and manipulating the canopy.

Bridging The Birth Divide: Doula Perspectives On Cesarean Trends In Switzerland And The U.S., Lina Verghese

Switzerland: Global Health and Development Policy

Cesarean section (C-section) rates remain a global concern, reflecting variations in maternal care practices, healthcare access, and systemic biases. While essential in certain cases, the overuse of C-sections is linked to adverse maternal and neonatal outcomes, reinforcing medicalized approaches to childbirth. This study explores disparities in C-section rates across regions in Switzerland (Zug and Jura) and the United States (Mississippi and Alaska) and examines the role of doulas in addressing these disparities.

Using a mixed-methods approach, qualitative interviews with doulas and quantitative regional data highlight systemic and cultural influences on C-section trends. In affluent Zug, convenience and elective procedures drive …

Water Current, Volume 56, No. 3, Fall 2024

Water Current Newsletter

No abstract provided.

Enzyme Encapsulation Within The Hk97 Virus-Like Particle: An Investigation Of Substrate Inhibition Kinetics Within A Confined And Crowded Environment, Joseph B. Lively

Chemistry Theses

Substrate inhibition is a paradoxical phenomenon observed in enzyme kinetics where increasing substrate concentrations lead to a marked decrease in the rates of enzyme-catalyzed reactions. Affecting an estimated 20% of studied enzymes, substrate inhibition poses significant challenges to the understanding of their function in essential biological processes and to their exploitation in industrial and therapeutic contexts. Studies show substrate inhibition to be a real limitation in vitro and rational conclusions have been drawn to explain the relevance of substrate inhibition in the self-regulation of biological pathways. However, there is currently no consensus on what role substrate inhibition plays in vivo …

Festival Of Research Abstracts, Fall 2024, College Of Science And Mathematics, Wright State University

Festival of Research

The collection of abstracts accepted for the Fall 2024 Festival of Research hosted by the Wright State University College of Science and Mathematics.

Regulating Shipping Of Carbon Dioxide For Sequestration, Carolina Arlota, Michael B. Gerrard

Faculty Scholarship

A number of facilities intended for permanent sequestration of carbon dioxide are being developed in the United States. Several will be located on or near the coast of the Gulf of Mexico, making them easily accessible to ships. Meanwhile, in Europe there is substantial interest in capturing carbon dioxide from industrial operations, but currently inadequate sequestration facilities, and growing interest in shipping carbon dioxide for sequestration in the United States. This Article reviews the main U.S. federal laws applicable to transportation and geologic storage of carbon dioxide, including laws enacted to implement relevant international treaties. The Article also contextualizes its …

"Deep Learning For Microscope Image Denoising", Nasreen Buhn, Sriya Adunur, Guy Hagen, Jonathan Ventura

College of Engineering Summer Undergraduate Research Program

In order to avoid damaging live cells, optical microscope imaging must be conducted under low-excitation light intensity and/or short exposure times, resulting in low signal-to-noise ratios (SNR). Deep learning methods offer an effective solution for removing microscope noise, utilizing algorithms that are able to reconstruct finer features in low SNR images. This research explores the denoising capability of several deep learning methods based on PSNR and SSIM. Tested methods include traditional approaches (BMED), supervised learning (CARE and Restormer), and unsupervised methods (Noise2Fast, N2V, SSD-Unsupervised, and SASSID). The Restormer model, which employs an encoder-decoder transformer architecture and progressive learning, stood out …