Physical Sciences and Mathematics Commons^™

Some Nitrogen Forms And Micronutrients In Silage Maize Leaves As Affected By Nk Fertilization And Liming, C.L F. Carranca, M A. Castelo Branco

IGC Proceedings (1977-2023)

The nutritive value of a forage depends on the quality which, in time, is dependent on protein, sugar, cellulose, fat and min­eral elements content. The existence of deficiencies may limit the maximum yield and also the quality. Several experiments have been carried out in order to study the effect of liming and NK fertilization on the nutrients uptake by silage maize and yields.

The Diagnosis Of Grassland Mineral Nutrient Status Through Herbage Analysis, J Salette, Lydie Huche

IGC Proceedings (1977-2023)

It appears more and more clearly that soil analysis is not sufficient to give a good approximation of the mineral status of grassland soils. In perennial crops leaf analysis and empirical critical levels are widely utilized. This grassland approach emphasizes the good results which can be obtained for nitro­gen, potassium, phosphorus not from leaf but from the whole herbage plant analysis. This paper deals with pure grass stands.

Modelling Nutrient Uptake By A Grass Sward: Long Term Studies Over Several Years, J Salette, Lydie Huche

IGC Proceedings (1977-2023)

Many experiments were conducted to assess the short term effects of fertilization management on nitrogen and mineral uptake of cut or grazed swards. One important work was performed to model the grass nutrition status during a regrowth (Salette, 1982; Salette et al., 1983; Salette et al., 1989), but for both a theoretical and practical point of view it is of great interest to evaluate the evolution of N and mineral uptake throughout all the years of a pasture life. This paper gives an analysis of nitrogen and mineral uptake dynamics during sev­eral years and proposes a model for sward N …

Modelling Nitrogen And Mineral Nutrient Uptake By A Grass Sward: Short Term Studies During The Sward Growth, J Salette, Lydie Huche, G Lemaire

IGC Proceedings (1977-2023)

In a previous work, the evolution of nitrogen and mineral content during the grass regrowth between two successive defoliations have been studied and modelled (Salette and Lemaire, 1981; Salette, 1982; Salette et al., 1982). This paper gives a generalization of the growth dilution and uptake model for nutrient minerals.

Enhanced Vapour Detection Through Electrospun Metal-Oxide Nanofibers, Sri Varshini K Ms

Theses and Dissertations

The objective of this work is to fabricate metal oxide-based nanofibers, which helps in monitoring indoor air quality, which is deteriorating due to VOCs like Formaldehyde, Toluene, and Ammonia, commonly found in paints, plywood, and adhesives. Prolonged exposure to these VOCs can affect the respiratory and nervous system. They are classified as carcinogens by the IARC.

Based on the analysis, this work was framed to deposit Fe2O3, NiO, and ZnO/Fe2O3 as well ZnO/NiO and Fe2O3/NiO nanofibers on the glass substrate through horizontal electrospinning method. The obtained nanofibers are vacuum annealed at 50 ℃ for 30 mins to remove the water …

Synthesis Of A Series Of Rare-Earth-Based Multi-Anion Chalcogenide Iodides Re3Si2SeXS8-XI (Re = La, Ce, Pr, And Nd) Using The Flux-Assisted Boron-Chalcogen Mixture Method, Gopabandhu Panigrahi, Habiba Binte Kashem, Gregory Morrison, Hans Conrad Zur Loye

Faculty Publications

Single crystals and polycrystalline powders of rare earth mixed chalcogenide iodides La3Si2Se1.21S6.79I, Ce3Si2Se1.39S6.61I, Pr3Si2Se1.22S6.78I, and Nd3Si2Se1.18S6.82I were prepared using the reactive flux-assisted boron-chalcogen mixture (BCM) method at 850 °C. All compounds crystallized in the monoclinic crystal system, space group C2/c (space group number 15). The series adopts the La3Si2O8Cl structure type, containing isolated SiQ4 tetrahedra connected by REQ8 (RE = La, Ce, Pr and Nd) polyhedra; this arrangement creates tunnels that are filled by I atoms. The partial substitution of S by Se was carried out to modulate the optical properties. Phase pure samples and uniform solid solutions were obtained …

The Binding Of Cu2+ To Lipid Membranes Is Not Substantially Influenced By Electrostatic Screening, Christopher M. Reynolds, Olivia C. Fiebig, Alexa Marroquin, Andrew J. Glaid, Kushaal Chokhany, Ryan G. Zdenek, Maria Laura Da Cruz Garcia, Paul S. Cremer

Chemistry: Faculty Publications

Gouy-Chapman theory predicts that salt screening and modulating the interfacial charge density should strongly influence the apparent dissociation constant, Kd,app, between Cu²⁺ and negatively charged phosphatidylserine (PS) lipids in supported lipid bilayers (SLBs). Specifically, Kd,app would be expected to increase (weaken binding) by a factor of 40 when 100 mM NaCl is introduced into the solution because of electrostatic screening between the membrane and Cu²⁺ cations. Surprisingly, however, fluorescence quenching measurements demonstrate that Kd,app increases by less than a factor of 2 when increasing the salt concentration in the presence of standard buffers, such as tris(hydroxymethyl)aminomethane (Tris). Moreover, …

Redefining The Limits Of Functional Continuity In The Early Evolution Of P-Loop Ntpases, Andrey O. Demkiv, Saacnicteh Toledo-Patiño, Encarnación Medina-Carmona, Andrej Berg, Gaspar P. Pinto, Antonietta Parracino, Jose M. Sanchez-Ruiz, Alvan C. Hengge, Paola Laurino, Liam M. Longo, Shina Caroline Lynn Kamerlin

Chemistry and Biochemistry Faculty Publications

At the heart of many nucleoside triphosphatases is a conserved phosphate-binding sequence motif. A current model of early enzyme evolution proposes that this six to eight residue motif could have sparked the emergence of the very first nucleoside triphosphatases—a striking example of evolutionary continuity from simple beginnings, if true. To test this provocative model, seven disembodied Walker A-derived peptides were extensively computationally characterized. Although dynamic flickers of nest-like conformations were observed, significant structural similarity between the situated peptide and its disembodied counterpart was not detected. Simulations suggest that phosphate binding is nonspecific, with a preference for GTP over orthophosphate. Control …

Overexpression And Biophysical And Functional Characterization Of A Recombinant Fgf21, Phuc Phan, Jason Hoang, Thallapuranam Krishnaswamy Suresh Kumar

Chemistry & Biochemistry Faculty Publications and Presentations

Fibroblast growth factor 21 (FGF21) is an endocrine FGF that plays a vital role in regulating essential metabolic pathways. FGF21 increases glucose uptake by cells, promotes fatty acid oxidation, reduces blood glucose levels, and alleviates metabolic diseases. However, detailed studies on its stability and biophysical characteristics have not been reported. Herein, we present the overexpression, biophysical characterization, and metabolic activity of a soluble recombinant FGF21 (rFGF21). The far-UV circular dichroism spectra of rFGF21 show a negative trough at 215 nm, indicating that the protein's backbone predominantly adopts a 13 sheet conformation. rFGF21 shows intrinsic tyrosine fluorescence at 305 nm. Thermal …

Evaluating The Meditation Practices And Barriers To Adopting Mindful Medicine Among Physicians, Marylou Cardenas-Turanzas, Aila Malik, Radha Korupolu

Faculty, Staff and Student Publications

Background: Chronic pain affects over 25% of U.S. adults and is a leading cause of disability. Mindfulness meditation (MM) is a nonpharmacologic approach to manage pain and improve well-being. Despite mounting evidence supporting its efficacy, MM remains underutilized in medical practice. Understanding physicians' engagement with MM and the barriers they face can inform strategies for integration into clinical care. This study assessed physicians' attitudes toward MM, including barriers to practice and their likelihood of recommending it to patients.

Methods: A cross-sectional survey of U.S. physicians was conducted from April to July 2024. Participants provided information on demographics, health struggles, and …

A Comparison Of Unconventional Microwave And Ultrasound-Assisted Extraction Methods Used For Flavonoids, Istiqomah Rahmawati, Daffa Hafiziaulhaq Azizi, Jihan Nafila Wibowo, Muhammad Reza, Boy Arief Fachri, Bekti Palupi, Meta Fitri Rizkiana, Helda Wika Amini, Ifan Ramadana, Felix Arie Setiawan

Makara Journal of Science

Cocoa pods (Theobroma cacao L.) are a rich source of flavonoids, which are natural antioxidants known for their health benefits. This study investigated the use of microwave-assisted extraction (MAE) and ultrasound-assisted ex-traction (UAE) to extract the maximum flavonoids and antioxidants from cocoa pods. MAE and UAE are efficient and sustainable methods for extracting bioactive compounds like flavonoids and antioxidants from cocoa pods, offer-ing faster extraction, reduced solvent use, and better compound preservation compared to conventional methods. These technologies unlock the untapped potential of cocoa pods for applications in food, cosmetics, and pharmaceuti-cals. The effects of extraction time (2–10 min), microwave …

Next Arrival And Destination Prediction Via Spatiotemporal Embedding With Urban Geography And Human Mobility Data, Pengjiang Li, Zaitian Wang, Xinhao Zhang, Pengfei Wang, Kunpeng Liu

Computer Science Faculty Publications and Presentations

With the development of transportation networks, countless trajectory data are accumulated, and understanding human mobility from traffic data could be helpful for smart cities, urban computing, and urban planning. Extracting valuable insights from traffic data, such as taxi trajectories, can significantly improve residents’ daily lives. There are many studies on spatiotemporal data mining. As we know, arrival prediction or regional function detection encompasses important tasks for traffic management and urban planning. However, trajectory data are often mutilated because of personal privacy and hardware limitations, i.e., we usually can only obtain partial trajectory information. In this paper, we develop an embedding …

Transfer Learning In Junction With A Light Use Efficiency Model For Estimating Grassland Gross Primary Production, Ruiyang Yu, Yunjun Yao, Qingxin Tang, Xueyi Zhang, Changliang Shao, Joshua B. Fisher, Jiquan Chen, Xiaotong Zhang, Yufu Li, Jia Xu, Lu Liu, Zijing Xie, Jing Ning, Jiahui Fan, Luna Zhang

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

It is significant to simulate grassland gross primary production (GPP) to understand the terrestrial carbon budget over Inner Mongolia (IMG), China. Nevertheless, there is not sufficient in situ GPP data over this region. In this study, we proposed a novel model-based transfer learning (MTL) approach with generative adversarial networks-long short-term memory (GAN-LSTM) and light use efficiency (LUE) models to derive grassland GPP over IMG, China. We first used 25 grassland eddy covariance sites over the conterminous United States to establish the GAN-LSTM model and then fine-tuned it with six sites over IMG to estimate water constraints that were embedded into …

Bayesian Nonparametric Hypothesis Testing Methods On Multiple Comparisons, Qiuchen Hai, Zhuanzhuan Ma

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we introduce Bayesian testing procedures based on the Bayes factor to compare the means across multiple populations in classical nonparametric contexts. The proposed Bayesian methods are designed to maximize the probability of rejecting the null hypothesis when the Bayes factor exceeds a specified evidence threshold. It is shown that these procedures have straightforward closed-form expressions based on classical nonparametric test statistics and their corresponding critical values, allowing for easy computation. We also demonstrate that they effectively control Type I error and enable researchers to make consistent decisions aligned with both frequentist and Bayesian approaches, provided that the …

Quantization Dimensions For Inhomogeneous Bi-Lipschitz Iterated Function Systems, Amit Priyadarshi, Mrinal Kanti Roychowdhury, Manuj Verma

School of Mathematical & Statistical Sciences Faculty Publications

Let ν be a Borel probability measure on a d-dimensional Euclidean space R d , d ≥ 1 , with a compact support, and let ( p 0 , p 1 , p 2 , … , p N ) be a probability vector with p j > 0 for 0 ≤ j ≤ N . Let { S j : 1 ≤ j ≤ N } be a set of contractive mappings on R d . Then, a Borel probability measure μ on R d such that μ = ∑ N j = 1 p j μ ∘ S − …

The Product Formula Of Multiple Stochastic Integrals With Respect To The Poisson Space Noise, Yuh-Jia Lee, Hsin-Hung Shih

Journal of Stochastic Analysis

No abstract provided.

American Option Pricing Using Generalised Stochastic Hybrid Systems, Evelyn Buckwar, Sascha Desmettre, Agnes Mallinger, Amira Meddah

Journal of Stochastic Analysis

No abstract provided.

About Fixed Points Of Quantum Channels, Raffaella Carbone

Journal of Stochastic Analysis

No abstract provided.

Challenges In Artisanal Small-Scale Gold Mining: Perspectives And Transformations To Sustainability Along Br-163 In Brazil, Carlos Henrique Xavier Araujo, Irfan Ullah, Giorgio De Tomi

Journal of Sustainable Mining

Artisanal Small-scale Gold Mining (ASGM) is a sector beset with unique and complex challenges. Recent literature highlights the growing acknowledgment of the critical need for reforms in how the ASGM industry interacts with communities and the environment. Discussions about sustainable transformations go beyond theoretical and conceptual borders, attempting to understand how local transformative events might reflect global developments. Thus, the goal of this article is to give an analysis from the perspective of the actors participating in artisanal gold mining activities. A survey was carried out along BR-163, which runs from Sinop (Mato Grosso) to Santarém (Pará). Fifty-five (55) interviews …

Energy-Aware Clustering Using Intelligent Scheme For Heterogeneous Wireless Sensor Networks, Enaam A. Al-Hussain, Ghaida A. Al-Suhail

Karbala International Journal of Modern Science

Heterogeneous Wireless Sensor Networks (WSNs) involve nodes with varying capabilities, such as different energy levels, sensing ranges, and computational abilities, which enable them to execute different tasks professionally. Clustering techniques play a crucial role in improving energy efficiency and reliability in WSNs. The evolution of cluster based WSNs from homogeneous into heterogeneous techniques allowed the deployment of smart devices capable of performing complex operations in in diverse environments. However, the heterogeneity of nodes necessitates more sophisticated and adaptive algorithms to fully exploit these capabilities. This paper proposes a new protocol, referred to as IT2F-HLEACH, which integrates Interval Type-2 Fuzzy Logic …

Comprehensive Review On The Application Of Bio-Immunoinformatics In The Development Of Highly Ef-Fective New Candidate Vaccines Against Tuberculosis, Ahyar Ahmad, Andriansjah Rukmana, Miski A. Khairinisa, Dian A. E. Pitaloka, Rosana Agus, Rusdina B. Ladju, Tarwadi Ahmad, Astutiati Nurhasanah, Carina C. D. Joe, Muhammad N. Massi, Harningsih Karim, Irda Handayani, Siti Roszilawati Binti Ramli

Karbala International Journal of Modern Science

Tuberculosis (TB) remains a significant public health challenge worldwide. Currently, Bacillus Calmette-Guerin (BCG) is the only vaccine available for TB prophylaxis. However, the efficacy of the BCG vaccine against adult pulmonary TB is considered inconsistent. This condition encourages researchers to look for more effective options, such as subunit vaccines. This condition requires the development of a more effective subunit vaccine to protect active TB in productive and adult ages. There is an urgent need for more effective vaccines, as the Bacillus Calmette-Guérin (BCG) vaccine currently available has inconsistent efficacy and is only partially effective in adults. Bio-immunoinformatics, an interdisciplinary field …

Articulated Robot Path Planning Based On Hybridization Of Adaptive ‎Dimensionality Algorithm And Grey Wolf Optimizer In Dynamic Environments, Noor Kadhim Ayoob‏, Ali Hadi Hasan

Karbala International Journal of Modern Science

A new method was developed to plan a path for a robotic articulated vehicle using the Grey Wolf Optimizer (GWO) ‎and Adaptive ‎Dimensionality (AD)‎. Existing studies in robotics path planning ignore the differences between robots in terms of size and flexibility and allocate a single cell to the robot regardless of the mentioned factors. Since the articulated robotic vehicle is longer than obstacles moving in the environment, this study takes into account vehicle size and flexibility in path planning by adapting the number of cells allocated to the robotic vehicle to contain the vehicle parts while performing different movements. Considering …

On Signifiable Computability: Part Ii: An Axiomatization Of Signifiable Computation And Debugger Theorems, Vladimir A. Kulyukin

Computer Science Faculty and Staff Publications

Signifiable computability aims to separate what is theoretically computable from what is computable through performable processes on computers with finite amounts of memory. Mathematical objects are signifiable in a formalism ℒ on an alphabet 𝒜 if they can be written as spatiotemporally finite texts in ℒ on 𝒜. In a previous article, we formalized the signification and reference of real numbers and showed that data structures representable as multidimensional matrices of discretely finite real numbers are signifiable. In this investigation, we continue to formulate our theory of signifiable computability by offering an axiomatization of signifiable computation on discretely finite real …

Extant Life Detection Using Label-Free Video Microscopy In Analog Aquatic Environments, Carl D. Snyder, Manuel Bedrossian, Casey Barr, Jody W. Deming, Chris A. Lindensmith, Christian Stenner, Jay L. Nadeau

Physics Faculty Publications and Presentations

The ability of microbial active motion, morphology, and optical properties to serve as biosignatures was investigated by in situ video microscopy in a wide range of extreme field sites where such imaging had not been performed previously. These sites allowed for sampling seawater, sea ice brines, cryopeg brines, hypersaline pools and seeps, hyperalkaline springs, and glaciovolcanic cave ice. In all samples except the cryopeg brine, active motion was observed without any sample treatment. Active motion was observed in the cryopeg brines when samples were subjected to a temperature gradient above in situ. In general, levels of motility were low in …

Characterizing Lava Flow Morphology And Lava Flow Dynamics: A High-Resolution Lidar And Structure From Motion Study Of The Hell’S Half Acre Lava Flow, Idaho, Rachel T. Bakowski

USF Tampa Graduate Theses and Dissertations

Basaltic lava flow eruptions can impact vast areas, profoundly altering the landscape. Although many past eruptions have gone unobserved by scientists, they often leave behind substantial deposits that preserve key elements of the eruption’s history. By studying lava textures and the overall structure of lava flows, we can reconstruct the specific conditions that occurred during the eruption and contributed to the final morphology of the lava flows. Hell’s Half Acre is a large, well-preserved basaltic lava flow in the Eastern Snake River Plain, containing a variety of significant geological features resulting from its distinctive eruption history. This thesis examines a …

Transcriptional Profiles Reveal Physiological Mechanisms For Compensation During A Simulated Marine Heatwave In Yellowtail Kingfish (Seriola Lalandi), Sharon E. Hook, Ryan J. Farr, Jenny Su, Alistair J. Hobday, Catherine Wingate, Lindsey Woolley, Luke Pilmer

Fisheries Research Articles

Background

Changing ocean temperatures are already causing declines in populations of marine organisms. Predicting the capacity of organisms to adjust to the pressures posed by climate change is a topic of much current research effort, particularly for species we farm or harvest. To explore one measure of phenotypic plasticity, the physiological compensations in response to heat stress as might be experienced in a marine heatwave, we exposed Yellowtail Kingfish (Seriola lalandi) to sublethal heat stress, and used the transcriptome in gill and muscle, benchmarked against heat shock proteins and oxidative stress indicators, to characterise the acute heat stress …

Conformational Free Energy Landscape Of A Glutamate Transporter And Microscopic Details Of Its Transport Mechanism, Sundar Thangapandian, Ashkan Fakharzadeh, Mahmoud Moradi, Emad Tajkhorshid

Chemistry & Biochemistry Faculty Publications and Presentations

Removing glutamate from the synaptic cleft is vital for proper function of the brain. Excitatory amino acid transporters mediate this process by uptaking the neurotransmitter from the synaptic cleft back to the cell after its release. The archaeal homolog, GltPh, an aspartate transporter from Pyrococcus horikoshii, presents the best structurally characterized model for this family of transporters. In order to transport, GltPh undergoes elevator-like conformational changes between inward-facing (IF) and outward-facing (OF) states. Here, we characterize, at an atomic level, the OF=+/- IF transition of GltPh in different apo/bound states using a combination of ensemble-based enhanced sampling techniques, employing more …

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoons (Btl) System – Third Quarter 2024 (Dated December 23, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Greatest Common Divisors And Lucas’S Theorem, John Ferdinands, Timothy Ferdinands

University Faculty Publications and Creative Works

Weconsider a sequence of greatest common divisors of the coefficients of a binomial expansion and use a classical result due to Lucas to show that the greatest common divisor is always 1. Our result generalizes a problem found in the Problem Section of Mathematics Magazine.

Logiclm: Robust Application Of Large Language Models With Logic Programming For Data Analytics, Evgeny Skvortsov, Shayan Mirjafari, Ojaswa Garg, Yilin Xia, Shaun Bowers, Bertram Ludäscher

Computer Science Faculty Scholarship

We present LogicLM, an OLAP-style interactive data analysis system that leverages large language models (LLMs) and is configured using Logica, an enhanced logic programming language with aggregation support that compiles to SQL. LogicLM uses an LLM to translate natural language queries by end users into executable code for automatically generating data visualizations. For each natural-language query, LogicLM provides a verifiable OLAP-based configuration that users can view and modify to help ensure results are reliable and accurate. This configuration, with measures, dimensions, and filters defined as logical predicates, offers a unified and user-friendly approach to naturallanguage data exploration, while keeping end …