Digital Commons Network^™

Viability Of Stylosanthes Seeds As Affected By Storage Duration, J B. Brolmann, B J. Boman

IGC Proceedings (1977-2023)

Tropical legumes such as members of the genus Stylosanthes (sty lo) contribute to the improvement of pastures in the tropics and sub-tropics. Stylosanthes is usually established from seed. In Florida, seed of Stylosanthes has to be produced and col­lected before the onset of the winter since occasional frosts can damage seed-bearing vegetation. Therefore, early maturing Stylosanthes varieties have been developed. In stylo seed collections maintained for breeding or seed exchange purposes, maintenances of seed viability is critical. New pests or new diseases may require a renewed screening of stored accessions. It is important, then, that the seed source of this …

Modification Of Stolon Growth, Development And Flowering By Plant Growth Regulators In White Clover (Trifolium Repens L.) Seed Crops, A H. Marshall, D H. Hides

IGC Proceedings (1977-2023)

Within the EEC the need to develop low cost less intensive systems of animal production has led to an increase in the importance of legumes generally, and white clover in particu­lar. At present, annual white clover seed usage within the EEC is approximately 4,000 tonnes, however, the self sufficiency rate is expected to fall below 50 % by the end of the 1980s due prin­cipally to unpredictable seed yields which make it an unprofit­able crop for seed growers. The main component of seed yield in white clover is the number of ripe inflorescences at harvest (Zaleski, 1961) however, the proportion …

Growth Regulator Effects On Seed Production Of Lotus Corniculatus L. And Lotus Uliginosus Schkuhr., J G. Hampton, Qingfeng Li, M D. Hare

IGC Proceedings (1977-2023)

Seed yield in both Lotus corniculatus L. and Lotus uliginosus Schkuhr. (syn. L. pedunculatus Cav.) is considered to be limited by the indeterminate growth habit which results in a protracted (2-4 month) flowering period (Witchwoot, 1987; Li and Hill, 1988) leading to wide variation in seed maturity and seed loss through pod shattering. In both species seed yield is determined primarily by the number of inflorescences (Mos, 1983 ; Wit­chwoot, 1987), and thus treatments which alter or remove api­cal dominance, enhance shoot production or main stem bran­ching thereby increasing inflorescence numbers (Clifford et al., 1983 ; Li and Hill, 1988), …

Plant Resources And Forage Seed Production In China, Dong Peihua

IGC Proceedings (1977-2023)

China is situated in the Eastern part of Asia ; from North to South it extends across the temperate and tropical zones. From East to West it has humid, semiarid, arid regions. There is no frost through the year in some part ofHainan Island, Yunnan, Guangdong and Taiwan provinces. Therefore plants grow the year round and there is a wide range of tropical species. The geographical and climatical differences resulted in rich grass resources. There are three hundred million hectares of natural pastures in Northern China, with more than 4000 plant species. These plants have different degrees of feeding value. …

Ai Beliefs And Practices In Community College Classrooms, Julie Eng, Heather Umphlett, Jocelyn Gilchrist, Alicia Howell, Mary Ann Howell, Wendy Miller-Edwards, Laurel Pope

Inquiry: The Journal of the Virginia Community Colleges

The country, the Commonwealth of Virginia, and Virginia Community College System initiatives all promote generative AI within education. It is a topic of great concern and interest for higher education instructors, yet at the same time many faculty members feel uncertain about effectively integrating it into class material. To further add pressure to the AI explosion, community colleges particularly face a responsibility to prepare their students for success in this new AI-focused environment. In this article, seven faculty members from Camp Community College discuss the implications of generative AI programs, including subscriptions and chatbots, within their particular courses and how …

Evaluating The Performance Of Bayesian Removal Models For Estimating Population Density And Detecting Trends With Variable Detection Probability, David R. Stewart

Mathematics & Statistics ETDs

Removal models have long been used to estimate population abundance by progressively capturing and removing individuals from a closed population. These models provide a valuable tool for ecological monitoring, but their accuracy depends heavily on assumptions about detection probability, which may decline over successive sampling passes. Traditional removal models assume constant detection probabilities, an assumption that is often violated in real-world applications. This thesis aims to advance hierarchical Bayesian models by accounting for variable detection probabilities, improving the reliability of abundance estimates and trend detection. By integrating simulation-based analyses with empirical data from Lahontan Cutthroat Trout (Oncorhynchus clarkia henshawi …

Discovery Of Suitable Habitat For Freshwater Mussel Species In The Appomattox River Through The Use Of Environmental Dna., Nicholas Duellman

Longwood Senior Thesis Proposal

Freshwater mussels are a keystone species providing crucial ecosystem services and river composition resiliency. Anecdotal evidence suggests the presence of freshwater mussels within the Appomattox river, the specifics of population sizes and suitable habitat remains an open question. Environmental DNA (eDNA) usage in conservation ecology has exploded in use within the past two decades, being far less invasive and cost-demanding than traditional methods. An eDNA metabarcoding pipeline of the 16s mitochondrial ribosomal subunit was built in R v. 4.4.2, using dada2 v. 3.2.1 package to trim MinION single read ASV outputs for freshwater mussel species identification in the interest of …

Evaluating Wrist Placement And Signal Processing Techniques For Real-World Hrv Monitoring Using Ppg, Andrew Murphy

College of Computing and Digital Media Dissertations

This thesis investigates trade-offs between signal quality and data coverage in photoplethysmographic (PPG) heart rate variability (HRV) monitoring using wrist-worn devices. The goal was to evaluate whether wrist placement and signal processing techniques can improve measurement reliability in real-world conditions. Data was collected from healthy participants wearing smartwatches on both wrists during rest and a structured math task introducing natural wrist movement. Three distinct processing methodologies were compared, including a proposed Rolling-Standardized Derivative (RSD) approach. Results showed that while HRV signals from both wrists were highly correlated at rest, motion caused a measurable drop in signal quality and inter-wrist agreement, …

Living With Alzheimer’S: A Guide To How To Lower The Risk Of Memory Loss & Care For Those With Alzheimer’S, Mona Muzammil, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Despite the frequent characterization of Alzheimer's disease as a “loss of self,"" this enlightening book demonstrates unequivocally that a person's unique self persists throughout the course of the disease. The important message in Caring for People with Alzheimer’s is how much can be done in care settings to support a person's sense of identity and thereby enrich the lives of people experiencing the many losses associated with dementia. Drawing from a diverse body of research, this book brings together the recommendations of the best thinkers and practitioners in multiple disciplines to illustrate the meaning of self and the importance of …

Tiny Creatures, Big Lessons: Using Music Education And Ecoliteracy To Impact Young Learners' Perspectives On Bugs And Nature, Paige Burgess '25

Honor Scholar Theses

This thesis aims to demonstrate that relationships between students and nature can be improved through teaching young learners about music and bugs together, potentially leading to a greater overall love for and willingness to protect nature. The thesis features original teacher action research conducted over multiple weeks in a first grade classroom, with observations and data to support the efficacy of the methods discussed. This thesis analyzes literature that supports how increasing empathy toward bugs at a young age can have tangible benefits for the environment, how ecoliteracy as a framework is an effective means of teaching about nature, and …

The Effect Of Weed Control Using Herbicide On Soil Bacteria, Growth, And Yield Of Sweet Corn, Lafi Na'imatul Bayyinah, Purwanto, Risqa Naila Khusna Syarifah, Rama Adi Pratama, Ida Widiyawati, Hendra

Jurnal Kultivasi

Weeds are managed by herbicides, but this can reduce the abundance of soil bacteria. This research aimed to determine the effect of active compounds of herbicides on weeds, the abundance of soil bacteria, growth and yield of sweet corn. The experiment was conducted from June to October 2023 in the fields and Laboratory of Agronomy and Horticulture, Universitas Jenderal Soedirman, Purwokerto. A randomized block design was used, consisting of eight treatments and four replications. The treatments included control (H0); weeding (H1); paraquat (H2); glyphosate (H3); paraquat, atrazine, mesotrione (H4); glyphosate, atrazine, mesotrione (H5); paraquat, atrazine, mesotrione, nicosulfuron (H6); and glyphosate, …

Highly Regenerable Magnetic Sulfonated Chitosan Crosslinked With Glutaraldehyde Composite Beads (Iron Sand/Naso3-Chi-G) For Aqueous Mercury Removal, Fathurrahmi Fathurrahmi, Rahmi Rahmi, Lelifajri Lelifajri, Anggun Sixthia Wulan Ayu, Muhammad Iqhrammullah

Karbala International Journal of Modern Science

We developed a novel adsorbent from sulfonated, glutaraldehyde-crosslinked chitosan embedded with magnetic iron sand. The adsorbent was synthesized through a two-step process: (1) sulfonation with N(SO₃Na)₃ to introduce sulfonate groups, and (2) crosslinking with glutaraldehyde to enhance structural stability. The optimal formulation, containing 43.5% iron sand and crosslinked with 0.17 M glutaraldehyde, exhibited the highest Hg²⁺ adsorption capacity (30.74 mg/g) at pH 3. The adsorbents were characterized using Scanning Electron Microscopy (SEM), Fourier transform infra-red spectroscopic (FT-IR), and X-ray diffraction (XRD) techniques. Adsorption equilibrium was achieved within 60 minutes, and isotherm modeling showed that the process followed the Freundlich model …

A Neutrosophic Micro Vague Correlation Measure: Application To Multi-Criteria Decision Making Problems, Vargees Vahini T, Trinita Pricilla M

Neutrosophic Systems with Applications

Statistical methods called correlation measures are employed to express the degree of association or relationship between two variables. The correlation coefficient which may be computed in a variety of ways is the most often used kind of correlation measure in many disciplines including biology, psychology, economics, and finance. Knowing the correlations between variables is essential for analysis and decision-making. This paper aims to commence a novel type of correlation measure called Neutrosophic Micro vague Correlation Measure and Neutrosophic Micro Vague Weighted Correlation Measure. Further demonstrates the implementation of the Neutrosophic Micro Vague correlation measure in the MCDM Problem. By adopting …

A Neutrosophic Micro Vague Correlation Measure: Application To Multi-Criteria Decision Making Problems, Vargees Vahini T, Trinita Pricilla M

Neutrosophic Systems with Applications

Statistical methods called correlation measures are employed to express the degree of association or relationship between two variables. The correlation coefficient which may be computed in a variety of ways is the most often used kind of correlation measure in many disciplines including biology, psychology, economics, and finance. Knowing the correlations between variables is essential for analysis and decision-making. This paper aims to commence a novel type of correlation measure called Neutrosophic Micro vague Correlation Measure and Neutrosophic Micro Vague Weighted Correlation Measure. Further demonstrates the implementation of the Neutrosophic Micro Vague correlation measure in the MCDM Problem. By adopting …

Improved Estimator For Population Mean Utilizing Known Medians Of Two Auxiliary Variables Under Neutrosophic Framework, Rajesh Singh, Shobh Nath Tiwari

Neutrosophic Systems with Applications

In the context of classical statistics, the estimation of the population mean is done with determinate, precise, and crisp data when auxiliary information is available. However, there are instances where dealing with uncertain, indeterminate, and imprecise data in interval form is required. To overcome this issue, Florentin Smarandache introduced neutrosophic statistics as a novel approach. This paper introduces a neutrosophic modified ratio-cum-product log-type estimator for the estimation of the population mean using known medians of two auxiliary variables in the neutrosophic context. The bias and mean squared error (MSE) for the proposed estimators are computed to the first-order approximation. The …

Some Graph Parameters For Superhypertree-Width And Neutrosophictree-Width, Takaaki Fujita, Florentin Smarandache

Neutrosophic Systems with Applications

Graph characteristics are often studied through various parameters, with ongoing research dedicated to exploring these aspects. Among these, graph width parameters—such as treewidth—are particularly important due to their practical applications in algorithms and real-world problems. A hypergraph generalizes traditional graph theory by abstracting and extending its concepts [77]. More recently, the concept of a SuperHyperGraph has been introduced as a further generalization of the hypergraph. Neutrosophic logic [133], a mathematical framework, extends classical and fuzzy logic by allowing the simultaneous consideration of truth, indeterminacy, and falsity within an interval. In this paper, we explore Superhypertree-width, Neutrosophic treewidth, and t-Neutrosophic tree-width.

Antioxidant Activity Of Pamam Dendrimer Stabilized Ascorbic Acid, Gabriella Srikureja

Honors Theses

Ascorbic acid (vitamin C) is an essential micronutrient for human health. It acts as an enzymatic cofactor in anabolic biochemical pathways such as the synthesis of collagen, dopamine, and norepinephrine. Unfortunately, this versatility comes at the cost of a high degradation rate both in and outside of the food matrix. Previous research exploring stabilizing aqueous ascorbic acid through Poly(amidoamine) (PAMAM) dendrimers found success in reducing the rate of degradation.

To confirm the antioxidant activity of ascorbic acid in its stabilized dendrimer complex, 2,2-Diphenyl-1-picrylhydrazyl (DPPH) assays examined via Cary 5000 UV-Vis-NIR spectrophotometer found that performing the DPPH assay under aqueous conditions …

A Reconsideration Of Advanced Concepts In Neutrosophic Graphs: Smart, Zero Divisor, Layered, Weak, Semi, And Chemical Graphs, Takaaki Fujita, Florentin Smarandache

Neutrosophic Systems with Applications

One of the most powerful tools in graph theory is the classification of graphs into distinct classes based on shared properties or structural features. Over time, many graph classes have been introduced, each aimed at capturing specific behaviors or characteristics of a graph. Neutrosophic Set Theory, a method for handling uncertainty, extends fuzzy logic by incorporating degrees of truth, indeterminacy, and falsity. Building on this framework, Neutrosophic Graphs [9, 84, 135] have emerged as significant generalizations of fuzzy graphs. In this paper, we extend several classes of fuzzy graphs to Neutrosophic graphs and analyze their properties.

Transition Metal Nanocomposites: Nonenzymatic Biosensor For Neurochemical Detection, Amitav Sen, Ace Cannon, Manashi Nath

Miners Solving for Tomorrow Research Conference

No abstract provided.

Coupled Time-Dependent Stokes - Darcy Model With Beavers–Joseph–Saffman–Jones Interface Boundary Condition, Yafang Hei, Xiaoming He

Miners Solving for Tomorrow Research Conference

No abstract provided.

Maldi-Mass Spectrometry Imaging To Investigate Distribution Of Per- And Polyfluoroalkyl Substances In Exposed Poplar Tissues, Tonglin Zhou, Varuni Abhayarayne, Joseph Akor, Honglan Shi, Paul Ki-Souk Nam, Joel Gerard Burken, John Yang

Miners Solving for Tomorrow Research Conference

No abstract provided.

The Importance Of Motivation And Self-Concept For Predicting Performance In Service Mathematics Modules: Replicating And Extending Previous Findings, Catherine Palmer, Maryna Lishchynska, Declan O’Connor, Seán Lacey

Department of Mathematics Publications

Students’ difficulties and lower-than-desired mathematics performance in higher education have been the focus of educational research and practice for a period of time. In a recent study by Lishchynska et al. (2023), learners’ motivation, dispositions towards mathematics and learning strategies were examined as factors potentially affecting performance in service mathematics modules. The main objectives of this study were to replicate the findings of Lishchynska et al. (2023) with a new student cohort; determine if self-concept is a significant contributortomathematicsperformance;andexploreifmathematicalbackgroundremainsan important predictor of mathematics performance for students as they migrate from first year to final year of study. A survey of …

Intraspecific Variation In Morphological And Biochemical Responses To Salinity And Flooding In Phragmites Australis, Olivia Hurley

LSU Master's Theses

Phragmites australis is a widespread wetland plant species with numerous haplotypes, several of which are highly invasive. In low-lying coastal marshes of Louisiana, the Delta-type (haplotype M1) dominates across a wide range of salinity and flooding environments. This suggests that Phragmites may be highly adaptable to diverse environmental conditions and that there may be a genetic component, as seen in other coastal wetland plant species. While non-native Phragmites haplotypes are targeted for control and removal in many areas, they are considered beneficial for marsh stabilization and contributing to elevation gain in coastal Louisiana, where several areas experience rapid land loss. …

The Effect Of Nanomorphology As Quantified Via The K‑Index On The Drug Delivery Properties Of Isocyanate-Derived Aerogels, Stephen Y. Owusu, A. B. M. Shaheen Ud Doulah, Vaibhav A. Edlabadkar, Kamden J. George, Chariklia Sotiriou-Leventis

Miners Solving for Tomorrow Research Conference

No abstract provided.

Fractional Brownian Motion With Mean-Density Interaction, Jonathan House, Skirmantas Janusonis, Ralf Metzler, Thomas Vojta

Miners Solving for Tomorrow Research Conference

No abstract provided.

Integrating Standards For Infrastructure Improvement And Resilience In University Curricula, Lisa Greenwood, Jennifer Schneider, Sumita Mishra, Yewande S. Abraham, Shriram Karpoora Sundara Pandian

Articles

In today’s ever-changing world, we are increasingly vulnerable to shocks and stresses that disrupt industry and society. Persistent threats from natural and manmade hazards require our communities and infrastructure to be resilient despite possible disruption. Creating robust infrastructures is founded on operational and physical standards to withstand and respond to threats such as environmental exposures, climate change, and informational security breaches. The significant U.S. investment in infrastructure projects through the Infrastructure Investment and Jobs Act has amplified the need for professionals in engineering and related fields who – in addition to technical knowledge - possess the necessary knowledge and skill …

Reframing Information Seeking In The Age Of Generative Ai: A Critical And Humanistic Approach, Joseph Kevin Sebastian

Library Faculty Research

Information-seeking has long been the subject of theoretical modeling, often drawing from cognitive, behavioral, computational, and even evolutionary perspectives to explain how individuals navigate, filter, and utilize information. Several dominant frameworks—Carol Kuhlthau’s Information Search Process, Marcia Bates’ Berrypicking Model, Peter Pirolli & Stuart Card’s Information Foraging Theory, Kiyohiko Nakamura’s Information Criteria framework, and Ian Ruthven’s Information Shaping Theory —have provided structured ways of understanding how people interact with information environments. However, while these frameworks offer valuable insights, they often operate within mechanistic or efficiency-driven paradigms, which risk overlooking the complex, embodied, and socioculturally situated nature of human information behaviors. These …

Ceker: A Generalizable Llm Framework For Literature Analysis With A Case Study In Unikernel Security, Alex Wollman, John Hastings

Research & Publications

Literature reviews are a critical component of formulating and justifying new research, but are a manual and often time-consuming process. This research introduces a novel, generalizable approach to literature analysis called CEKER which uses a three-step process to streamline the collection of literature, the extraction of key insights, and the summarized analysis of key trends and gaps. Leveraging Large Language Models (LLMs), this methodology represents a significant shift from traditional manual literature reviews, offering a scalable, flexible, and repeatable approach that can be applied across diverse research domains. A case study on unikernel security illustrates CEKER's ability to generate novel …

Faculty Diversity And Minority Enrollment In Advanced Stem Courses: A Case Study At Neville High School, Anaya Cormier

Mathematics Senior Capstone Papers

This study investigates the correlation between the diversity of STEM faculty and the enrollment rates of minority students in honors, Advanced Placement (AP), and dual enrollment STEM courses at Neville High School. Recognizing the long-standing underrepresented minority students in advanced STEM education, this research explores whether a more diverse faculty positively influences student participation in these courses. Using a quantitative correlational design, data on faculty demographics and student enrollment patterns were analyzed through descriptive statistics and chi-square tests of independence. The results are expected to provide information on the role of faculty diversity in fostering equitable academic opportunities. The findings …

An Analysis Of The Alaskan Salmon Harvest, Carson Allen

Mathematics Senior Capstone Papers

The objective of this paper is to analyze the annual Alaskan salmon harvest and the variables that effect the harvest differently each year. Every year, thousands of workers’ livelihoods depend on the annual salmon harvest to provide for themselves and their families. This paper takes this reality and aims to use data gathered from previous fishing seasons to understand what variables affect the salmon population. To analyze the salmon harvest, multiple linear regression will be used over a 41 year period with variables including water temperature, air temperature, yearly harvest, and species of salmon. By modeling these and other variables, …