Physical Sciences and Mathematics Commons^™

True-False Set Is A Particular Case Of The Refined Neutrosophic Set, Florentin Smarandache, Said Broumi

Branch Mathematics and Statistics Faculty and Staff Publications

Borzooei, Mohseni Takallo, and Jun recently proposed a new type of set, called True-False Set [1], and they claimed it is a generalization of Neutrosophic Set [2]. We prove that this assertion is untrue. Actually it’s the opposite, the True-False Set is a particular case of the Refined Neutrosophic Set.

Leveraging Very-High Spatial Resolution Hyperspectral And Thermal Uav Imageries For Characterizing Diurnal Indicators Of Grapevine Physiology, Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Allison J. Miller, Misha Kwasniewski

Michigan Tech Publications

Efficient and accurate methods to monitor crop physiological responses help growers better understand crop physiology and improve crop productivity. In recent years, developments in unmanned aerial vehicles (UAV) and sensor technology have enabled image acquisition at very-high spectral, spatial, and temporal resolutions. However, potential applications and limitations of very-high-resolution (VHR) hyperspectral and thermal UAV imaging for characterization of plant diurnal physiology remain largely unknown, due to issues related to shadow and canopy heterogeneity. In this study, we propose a canopy zone-weighting (CZW) method to leverage the potential of VHR (≤9 cm) hyperspectral and thermal UAV imageries in estimating physiological indicators, …

The Sizes Of Z ∼ 9-10 Galaxies Identified In The Brightest Of Reionizing Galaxies (Borg) Survey, Benne W. Holwerda, Joanna S. Bridge, Rebecca L. Steele, Samir Kusmic, Larry Bradley, Rachael Livermore, Stephanie Bernard, Alice Jacques

Faculty and Staff Scholarship

Redshift z = 9-10 object selection is the effective limit of Hubble Space Telescope (HST) imaging capability, even when confirmed with Spitzer. If only a few photometry data points are available, it becomes attractive to add criteria based on their morphology in these J- and H-band images. One could do so through visual inspection, a size criterion, or alternate morphometrics. We explore a vetted sample of Brightest of Reionizing Galaxies (BoRG) z ∼ 9 and z ∼ 10 candidate galaxies and the object rejected by Morishita+ to explore the utility of a size criterion in z = 9-10 candidate selection. …

Measurements Of Rate Exchange Dynamics In Supercooled Ortho-Terphenyl By Single-Molecule 3d Kinetics And Green’S Functions, Harveen Kaur

Theses and Dissertations

Heterogeneity in relaxation rates is a well-established feature of supercooled liquids. It implies the existence of a rate-exchange process to restore ergodicity, but the experimental characterization of that exchange has been incomplete and controversial. This dissertation develops three-dimensional (3D) correlation functions that provide a well-defined measure of rate exchange from single-molecule measurements. This approach is demonstrated on both single-molecule dichroism measurements and atomistic simulations of molecular rotation in ortho-terphenyl.

The first project develops non-parametric analysis of nonexponential and multidimensional kinetics. The quantification of nonexponential (dispersed) kinetics has relied on empirical functions, which yield parameters that are neither unique nor easily …

Synthesis And Design Of Novel Polymer Grafted Nanoparticles Relevant To Drug Delivery Vehicles For Biomedical Applications, Maan Abduldiyem Hassan Al-Ali

Theses and Dissertations

The modification of inorganic nanoparticles with organic polymer chains has become a significant field of study for the engineering of advanced nanocomposite materials. This dissertation presents the design, synthesis, and characterization of novel polymer grafted silica nanoparticles as new strategies to combat bacterial resistance. Described herein is the synthesis of monomers that have been graft polymerized onto silica nanoparticles that can be used as a delivery drug vehicle for biomedical applications. The polymerization of these monomers was performed via reversible addition-fragmentation chain transfer (RAFT) polymerization. The molecular design of the RAFT agents that are attached to the surfaces of the …

Estimation And Inference Under Model Uncertainty, Yizheng Wei

Theses and Dissertations

Chapter 1 of this dissertation proposes a consistent and locally efficient estimator to estimate the model parameters for a logistic mixed effect model with random slopes. Our approach relaxes two typical assumptions: the random effects being normally distributed, and the covariates and random effects being independent of each other. Adhering to these assumptions is particularly difficult in health studies where in many cases we have limited resources to design experiments and gather data in long-term studies, while new findings from other fields might emerge, suggesting the violation of such assumptions. So it is crucial if we could have an estimator …

Categorical And Fuzzy Ensemble-Based Algorithms For Cluster Analysis, Bridget Nicole Manning

Theses and Dissertations

This dissertation focuses on improving multivariate methods of cluster analysis. In Chapter 3 we discuss methods relevant to the categorical clustering of tertiary data while Chapter 4 considers the clustering of quantitative data using ensemble algorithms. Lastly, in Chapter 5, future research plans are discussed to investigate the clustering of spatial binary data.

Cluster analysis is an unsupervised methodology whose results may be influenced by the types of variables recorded on observations. When dealing with the clustering of categorical data, solutions produced may not accurately reflect the structure of the process that generated them. Increased variability within the latent structure …

Fermi-Unsmearing In Single Charged Pion Electroproduction Cross-Section Measurements For The Neutron And Proton In Deuterium, Gary Hollis

Theses and Dissertations

Electron scattering cross-sections for two different reaction channels, e- + p→ e- + n + ϖ + and e- + n → e- + p ϖ - using an unpolarized deuterium target, were extracted from Jefferson Lab experiment E1E data with a beam energy of 2.039 GeV, providing a (W;Q2) coverage of 1.1 GeV < W < 1.9 GeV and0.4 GeV2< Q2 2. Although there has already been an analysis of this same data set for the second reaction channel listed above [1], more of the cross-section domain has been covered in this analysis due to applying a new technique called Fermi-unsmearing. Fermi-smearing is a distortion in a cross-section measurement which occurs whenever the target is erroneously assumed to be at rest but is in fact a bound nucleon as part of a larger nucleus (and thus is in Fermi-motion). Fermi-unsmearing is a Monte Carlo method presented in this work for generating a correction factor that removes the Fermi-smearing effect from an existing cross-section measurement that suffers from Fermi-smearing. Using Fermi-unsmearing can have the advantage of significantly larger statistical sample sizes given the same data set due to allowing less strict final data selection criteria, as occurs in a Fermi-unsmeared analysis of the e- + n→ e- + p + ϖ- channel in contrast to a fully-exclusive analysis of the same channel. The same Fermi-unsmearing method is applied to the first channel after having established the efficacy of the method using the second channel.

Variable-Order Fractional Partial Differential Equations: Analysis, Approximation And Inverse Problem, Xiangcheng Zheng

Theses and Dissertations

Variable-order fractional partial differential equations provide a competitive means in modeling challenging phenomena such as the anomalous diffusion and the memory effects and thus attract widely attentions. However, variable-order fractional models exhibit salient features compared with their constant-order counterparts and introduce mathematical and numerical difficulties that are not common in the context of integer-order and constant-order fractional partial differential equations.

This dissertation intends to carry out a comprehensive investigation on the mathematical analysis and numerical approximations to variable-order fractional derivative problems, including variable-order time-fractional, space-fractional, and space-time fractional partial differential equations, as well as the corresponding inverse problems. Novel techniques …

Teaching With Digital 3d Models Of Minerals And Rocks, Graham Dm Andrews, Gabrielle Labishak, Sarah Brown, Shelby L. Isom, Holly Danielle Pettus, Trevor Byers

Faculty & Staff Scholarship

The disruption to geoscience curricula due to the COVID-19 pandemic highlights the difficulty of making mineral and rock samples accessible to students online rather than through traditional lab classes. In spring 2020, our community had to adapt rapidly to remote instruction; this transition amplified existing disparities in access to geoscience education but can be a catalyst to increase accessibility and flexibility in instruction permanently. Fortunately, a rich collection of 3D mineral and rock samples is being generated by a community of digital modelers (e.g., Perkins et al., 2019).

Sward Allowance At Early Lactation Of Primiparous Dairy Cows: Iii-Metabolic Profiles, A. Meikle, D. A. Mattiauda, G. Uriarte, L. Adrien, Pablo Soca, P. Chilibroste

IGC Proceedings (1993-2023)

No abstract provided.

Dynamics Of Seedling Emerging And Survival Rates Of Stipa Baicalensis Steppe: Community Under Two Utilizing Regimes, Mingjiu Wang, Q. F. Li, F. L. Shi, J. L. He

IGC Proceedings (1993-2023)

No abstract provided.

Application Of Vetiver Grass For Revegetation In Rare Earth Mine, South China, Xuhui Kong, Lixia Gao, Fuhe Luo, Yingbo Sun

IGC Proceedings (1993-2023)

No abstract provided.

Increasing Nitrogen Deposition And Grassland Productivity In Mongolia, T. Kinugasa, M. Shinoda, A. Tsunekawa

IGC Proceedings (1993-2023)

No abstract provided.

Rangeland, Ecological Integrity And Sustainability: An Analysis In The Himalayan Mountain Context, Vir Singh, Babita Bohra, Manisha Joshi

IGC Proceedings (1993-2023)

No abstract provided.

Revegetation Of Bare Patches In Saline‐Alkali Grassland In Northeast Of China, S. C. Jiang, D. W. Zhou

IGC Proceedings (1993-2023)

No abstract provided.

Benefit Evaluation Of Rangeland Convertion Program (Rcp) In Typical Project Area Of Inner Mongolia, Ying Han, Xiangyang Hou

IGC Proceedings (1993-2023)

No abstract provided.

Unveiling The Molecular Mechanism Of Sars-Cov-2 Main Protease Inhibition From 137 Crystal Structures Using Algebraic Topology And Deep Learning, Duc Duy Nguyen, Kaifu Gao, Jiahui Chen, Rui Wang, Guo-Wei Wei

Mathematics Faculty Publications

Currently, there is neither effective antiviral drugs nor vaccine for coronavirus disease 2019 (COVID-19) caused by acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to its high conservativeness and low similarity with human genes, SARS-CoV-2 main protease (M^pro) is one of the most favorable drug targets. However, the current understanding of the molecular mechanism of M^pro inhibition is limited by the lack of reliable binding affinity ranking and prediction of existing structures of M^pro-inhibitor complexes. This work integrates mathematics (i.e., algebraic topology) and deep learning (MathDL) to provide a reliable ranking of the binding …

Cruise Report: Ex-17-11 Gulf Of Mexico 2017 (Rov And Mapping), Michael P. White, Brian R. C. Kennedy, Diva Amon, Charles G. Messing, Alexandra M. Avila

Marine & Environmental Sciences Faculty Reports

From November 29, 2017 to December 21, 2017, the NOAA Office of Ocean Exploration and Research (OER) and partners conducted a telepresence-enabled ocean exploration expedition on NOAA Ship Okeanos Explorer to collect critical baseline data and information and to improve knowledge about unexplored and poorly understood deepwater areas of the Gulf of Mexico. The Gulf of Mexico 2017 (EX-17-11) expedition was part of a series of expeditions between 2017 and 2018 that explored deepwater areas in the Gulf of Mexico. During 23 days at sea, 17 remotely operated vehicle (ROV) dives were completed off the Western Florida Escarpment and in …

Coral Gardens Reef, Belize: A Refugium In The Face Of Caribbean-Wide Acropora Spp. Coral Decline, Lisa Greer, Tara Clark, Tanner Waggoner, James Busch, Thomas P. Guilderson, Karl Wirth, Jian-Xin Zhao, H. Allen Curran

Geosciences: Faculty Publications

Caribbean Acropora spp. corals have undergone a decline in cover since the second half of the twentieth century. Loss of these architecturally complex and fast-growing corals has resulted in significant, cascading changes to the character, diversity, and available eco spaces of Caribbean reefs. Few thriving Acropora spp. populations exist today in the Caribbean and western North Atlantic seas, and our limited ability to access data from reefs assessed via long-term monitoring efforts means that reef scientists are challenged to determine resilience and longevity of existing Acropora spp. reefs. Here we used multiple dating methods to measure reef longevity and determine …

A Green New Deal For Schools: Inequality, Funding, And Finance In Pennsylvania, David I. Backer

Sustainability Research & Practice Seminar Presentations

No abstract provided.

Trace Metal Availability Affects Greenhouse Gas Emissions And Microbial Functional Group Abundance In Freshwater Wetland Sediments, George Giannopoulos, Katherine R. Hartop, Bonnie L. Brown, Bongkeun Song, Lars Elsgaard, Rima B. Franklin

VIMS Articles

We investigated the effects of trace metal additions on microbial nitrogen (N) and carbon (C) cycling using freshwater wetland sediment microcosms amended with micromolar concentrations of copper (Cu), molybdenum (Mo), iron (Fe), and all combinations thereof. In addition to monitoring inorganic N transformations (NO₃^–, NO₂^–, N₂O, NH₄⁺) and carbon mineralization (CO₂, CH₄), we tracked changes in functional gene abundance associated with denitrification (nirS, nirK, nosZ), dissimilatory nitrate reduction to ammonium (DNRA; nrfA), and methanogenesis (mcrA). With regards to …

Cusz: An Efficient Gpu-Based Error-Bounded Lossy Compression Framework For Scientific Data, Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, For Full List Of Authors, See Publisher's Website.

Computer Science Faculty Research & Creative Works

Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain high fidelityfor postanalysis. Because supercomputers and HPC applicationsare becoming heterogeneous using accelerator-based architectures,in particular GPUs, several development teams have recently released GPU versions of their lossy compressors. However, existingstate-of-the-art GPU-based lossy compressors suffer from eitherlow compression and decompression throughput or low compression quality. In this paper, we present an optimized GPU version,cuSZ, for one of the best error-bounded lossy compressors-SZ.To the best of our knowledge, cuSZ is the first error-boundedlossy compressor on GPUs for scientific data. …

Transcriptomic Study For Identification Of Major Nitrogen Stress Responsive Genes In Australian Bread Wheat Cultivars, Nigarin Sultana, Shahidul Islam, Angela Juhasz, Rongchang Yang, Maoyun She, Zaid Alhabbar, Jingjuan Zhang, Wujun Ma

Research outputs 2014 to 2021

High nitrogen use efficiency (NUE) in bread wheat is pivotal to sustain high productivity. Knowledge about the physiological and transcriptomic changes that regulate NUE, in particular how plants cope with nitrogen (N) stress during flowering and the grain filling period, is crucial in achieving high NUE. Nitrogen response is differentially manifested in different tissues and shows significant genetic variability. A comparative transcriptome study was carried out using RNA-seq analysis to investigate the effect of nitrogen levels on gene expression at 0 days post anthesis (0 DPA) and 10 DPA in second leaf and grain tissues of three Australian wheat (Triticum …

Forecasting Vegetation Health In The Mena Region By Predicting Vegetation Indicators With Machine Learning Models, Sachi Perera, Wenzhao Li, Erik Linstead, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Machine learning (ML) techniques can be applied to predict and monitor drought conditions due to climate change. Predicting future vegetation health indicators (such as EVI, NDVI, and LAI) is one approach to forecast drought events for hotspots (e.g. Middle East and North Africa (MENA) regions). Recently, ML models were implemented to predict EVI values using parameters such as land types, time series, historical vegetation indices, land surface temperature, soil moisture, evapotranspiration etc. In this work, we collected the MODIS atmospherically corrected surface spectral reflectance imagery with multiple vegetation related indices for modeling and evaluation of drought conditions in the MENA …

Large-Scale Erosion Driven By Intertidal Eelgrass Loss In An Estuarine Environment, Ryan K. Walter, Jennifer K. O'Leary, Sean Vitousek, Mohsen Taherkhani, Carolyn Geraghty, Ann Kitajima

Physics

Seagrasses influence local hydrodynamics by inducing drag on the flow and dampening near-bed velocities and wave energy. When seagrasses are lost, near-bed currents and wave energy can increase, which enhances bottom shear stresses, destabilizes sediment, and promotes suspension and erosion. Though seagrasses are being lost rapidly globally, the magnitude of change in sediment stabilization following ecosystem-wide eelgrass loss has rarely been measured. In this study, we explored the geomorphological changes associated with an unprecedented estuary-wide collapse of a seagrass (eelgrass, Zostera marina) in Morro Bay, CA, USA. Morro Bay has historically suffered from accelerated sedimentation and accretion. However, following …

Memory Foreshadow: Memory Forensics Of Hardware Cryptocurrency Wallets – A Tool And Visualization Framework, Tyler Thomas, Mathew Piscitelli, Ilya Shavrov, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

We present Memory FORESHADOW: Memory FOREnSics of HArDware cryptOcurrency Wallets. To the best of our knowledge, this is the primary account of cryptocurrency hardware wallet client memory forensics. Our exploratory analysis revealed forensically relevant data in memory including transaction history, extended public keys, passphrases, and unique device identifiers. Data extracted with FORESHADOW can be used to associate a hardware wallet with a computer and allow an observer to deanonymize all past and future transactions due to hierarchical deterministic wallet address derivation. Additionally, our novel visualization framework enabled us to measure both the persistence and integrity of artifacts produced by the …

Exploring The Learning Efficacy Of Digital Forensics Concepts And Bagging & Tagging Of Digital Devices In Immersive Virtual Reality, Courtney Hassenfeldt, Jillian Jacques, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

This work presents the first account of evaluating learning inside a VR experience created to teach Digital Forensics (DF) concepts, and a hands-on laboratory exercise in Bagging & Tagging a crime scene with digital devices. First, we designed and developed an immersive VR experience which included a lecture and a lab. Next, we tested it with (n = 57) participants in a controlled experiment where they were randomly assigned to a VR group or a physical group. Both groups were subjected to the same lecture and lab, but one was in VR and the other was in the real world. …

Versatility Of The Cyano Group In Intermolecular Interactions, Steve Scheiner

Chemistry and Biochemistry Faculty Publications

Several cyano groups are added to an alkane, alkene, and alkyne group so as to construct a Lewis acid molecule with a positive region of electrostatic potential in the area adjoining these substituents. Although each individual cyano group produces only a weak π-hole, when two or more such groups are properly situated, they can pool their π-holes into one much more intense positive region that is located midway between them. A NH₃ base is attracted to this site, where it forms a strong noncovalent bond to the Lewis acid, amounting to as much as 13.6 kcal/mol. The precise nature …

Assessment Of Soil Properties Under Different Land Use Types In Olokemeji Forest Reserves In Ogun State Southwestern Nigeria, Oluwatoyin Opeyemi Akintola, Adewunmi Idayat Bodede, Michael Smart, Ayodeji Gideon Adebayo, Olawale Nurean Sulaiman

Journal of Bioresource Management

Knowledge of soil properties is essential for environmental sustainability for any forest reserve or plantation. The physical and chemical properties of soil under three different land uses was investigated to assess the nutrient and fertility status of the soils. Fifteen soil samples, each collected from different locations within the natural forest, plantation and farm land were analyzed for soil texture, bulk density, porosity, pH, organic carbon, organic matter content, total nitrogen, available phosphorus, Na, K, Ca, Mg, Zn, Cu, Fe and Mn. Texturally, the soils were loamy, loamy sand and sandy loamy in the natural forest, plantation and farmland respectively. …