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Salt Tolerance Mechanisms In Perennial Fodder Grasses, Edna Antony, B. Aravind, A. Amulya, T. Anushree, P. V. Rakshata, F. H. Savitha, M. B. Doddamani, P. V. Kuligod, Akbar, Vinod Kumar, K. Sridhar, Vijay Kumar Yadav

IGC Proceedings (1977-2023)

Salinity stress is one of the most damaging stresses in crop plants. It reduces the productivity of the soil and makes it unsuitable for crop cultivation. Fodder crops are considered the best alternative in such uncultivable land. Using salinity-affected land for pasture development is the best alternative to utilize such lands. However, the extent of salinity tolerance varies among different grass species. In this study, Pearl millet Napier hybrids (PMN hybrid) and guinea grass varieties were studied for salinity tolerance in artificially created saline soils in the ratio of 13:7:1:2 (NaCl: Na₂SO₄: MgCl: CaSO₄, …

Effect Of Soil Nitrogen And Water Content On The Establishment Of A Lolium Perenne L. And Trifolium Repens L. Pasture, M. F. Alonso, Oscar A. Balocchi, I. Calvache, O. Martínez

IGC Proceedings (1977-2023)

Climate change has decreased rainfall in Southern Chile affecting the productivity of the grasslands that sustain the dairy and beef cattle industries. These grasslands are mainly mixtures of Lolium perenne L. and Trifolium repens L. Thus, we study the response on the establishment of a mixture of these two species to three levels of soil water content and two levels of nitrogen (N) fertilization. The trial was carried out in containers sowed in a complete randomized block´s design. Soil moisture measurements were taken daily. N fertilizations was applied at the establishment and every 60 days. Leaf appearance rate was measured …

A Data-Efficient Approach For Effective Diagnosis Of Left Ventricular Hypertrophy From Echocardiography Modality, Moomal Farhad Farhad

Thesis/ Dissertation Defenses

Left Ventricular Hypertrophy (LVH) is a medical condition characterized by the thickening and enlargement of the left ventricle (LV) of the heart. Accurate and timely diagnosis of LVH is vital for clinical prognosis and treatment decisions. Echocardiography has emerged as the gold standard for diagnosing LVH due to its ability to independently predict long-term risks such as heart failure and stroke. Echocardiography, a non-invasive and cost-effective imaging technology, is instrumental in assessing various aspects of heart health. Among the critical diagnostic calculations made possible by echocardiography, the determination of ejection fraction and heart chamber size is paramount in assessing LVH. …

Impact Of Level Of Use On Plant Vigor And Weight Of Festuca Humilior And Calamagrostis Vicunarum, T. Edson, L. Aguirre, E. R. Flores

IGC Proceedings (1977-2023)

Tussock grasslands of Festuca humilior and Calamagrostis vicunarum cover a significant extension of the central Andes of Peru, constituting a plant association highly appreciated by cattle ranchers. The objective of this research was to estimate the cumulative impact of the level of use of the key grasses Festuca humilior and Calamagrostis vicunarum on plant height, vigor, and weight. This study was conducted in a humid grassland of regular condition located at 4186 masl in the Puna ecoregion. The variables evaluated were: plant height, basal and canopy diameter and plant weight. The experiment lasted two years in which individual plants from …

The Park Ridge Center Bulletin, 2001, N19, January/February, Advocate Aurora Health

Historical Documents - Combined

The Park Ridge Center, Park Ridge, IL: Issue of "The Park Ridge Center Bulletin", a bi-monthly publication from The Park Ridge Center - An Institute for the Study of Health, Faith, and Ethics, associated with Lutheran General Hospital. This issue has feature articles on religion and the brain.

The Park Ridge Center Bulletin, 2002, N25, January/February, Advocate Aurora Health

Historical Documents - Combined

The Park Ridge Center, Park Ridge, IL: Issue of "The Park Ridge Center Bulletin", a bi-monthly publication from The Park Ridge Center - An Institute for the Study of Health, Faith, and Ethics, associated with Lutheran General Hospital. This issue has feature articles on Islam and health care. This is the final issue of this publication.

Six-Degree-Of-Freedom Optimal Feedback Control Of Pinpoint Landing Using Deep Neural Networks, Omkar S. Mulekar, Hancheol Cho, Riccardo Bevilacqua

Student Works

Machine learning regression techniques have shown success at feedback control to perform near-optimal pinpoint landings for low fidelity formulations (e.g. 3 degree-of-freedom). Trajectories from these low-fidelity landing formulations have been used in imitation learning techniques to train deep neural network policies to replicate these optimal landings in closed loop. This study details the development of a near-optimal, neural network feedback controller for a 6 degree-of-freedom pinpoint landing system. To model disturbances, the problem is cast as either a multi-phase optimal control problem or a triple single-phase optimal control problem to generate examples of optimal control through the presence of disturbances. …

Stereoscopic-Based Mass Properties Estimation For Warhead Fragments, Alessia Nocerino, Katharine Larsen, Riccardo Bevilacqua, Elisabetta L. Jerome

Student Works

FRAGMENTATION characteristics such as spatial distribution, number of fragments, fragment velocity, and fragment mass can be used to characterize the lethality of a fragmenting weapon or any metal cased explosive [1,2]. However, most warhead tests and evaluations are limited to static arena testing, where fragment characteristics must be collected by hand. Recently, stereoscopic imaging techniques have been added to static arena tests. Using this method, position tracks can be collected for each fragment, and then velocity information can be found. This paper proposes a method to estimate the mass and moment of inertia using data collected by a stereoscopic imaging …

Generative Ai For Personalized Problem Setting To Aid Learning, Surath Sundram, Rupika Chatterjee

Defensive Publications Series

Students learning new concepts may not grasp the different aspects of the concept immediately and need problem-solving practice. However, conventional textbooks do not tailor problem sequences to individual needs. This disclosure describes the use of generative artificial intelligence (AI) techniques to automatically determine a student’s proficiency and to generate new and personalized problems that are tailored to the determined proficiency. Personalized generation of problems, performed with specific permission, can help students learn concepts. The generative AI can also track a student’s progress and can adjust problem complexity to ensure that the student is provided sufficient variety in practice to allow …

Predictive Link Bandwidth Contention Optimization For Segment Routing, Praveen Kumar, Navdeep Sood

Defensive Publications Series

Segment Routing (SR) is the most widely adopted backbone routing technology. Within an SR context, techniques are presented herein that support an algorithm under which policy restoration will not lead to any bandwidth contention on target links. The presented techniques ensure that a customer’s backbone traffic will remain free of disruptions by carrying out proactive bandwidth optimization operations across each SR policy and each link in an SR network.

Determining The Preparedness Of Nursing Programs And Faculty For The Next Generation Nclex-Rn, Heather Hartness

ATU Theses and Dissertations 2021 - Present

Fifty-two nursing faculty from ADN (Associate Degree Nursing) and BSN (Bachelor of Science in Nursing) programs in the state of Arkansas were surveyed to examine the preparedness resources and interventions to prepare for the Next Generation NCLEX-RN (NGN) and to explore the perceptions of nursing faculty on their readiness to teach critical thinking, clinical judgment, and their competency with NGN item writing. A quantitative cross-sectional descriptive design was used for this study utilizing a self-created survey. The survey revealed 40% of participants felt adequately prepared with item writing, and 35% reported feeling adequately prepared to test using the new NGN …

Electrospun Nanofibers: Shaping The Future Of Controlled And Responsive Drug Delivery., Michael Joshua Wildy, Ping Lu

College of Science & Mathematics Departmental Research

Electrospun nanofibers for drug delivery systems (DDS) introduce a revolutionary means of administering pharmaceuticals, holding promise for both improved drug efficacy and reduced side effects. These biopolymer nanofiber membranes, distinguished by their high surface area-to-volume ratio, biocompatibility, and biodegradability, are ideally suited for pharmaceutical and biomedical applications. One of their standout attributes is the capability to offer the controlled release of the active pharmaceutical ingredient (API), allowing custom-tailored release profiles to address specific diseases and administration routes. Moreover, stimuli-responsive electrospun DDS can adapt to conditions at the drug target, enhancing the precision and selectivity of drug delivery. Such localized API …

Bush And Revegetation Recovery After Fire On Farms In Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

This page gives some ideas on how to reduce the risk of fires in bush and revegetation on farms, and how to speed recovery of burnt areas.

Large patches of bush in good condition will generally regenerate well after fire, with some management of weeds and grazing.

Revegetation areas are much more susceptible to fire, and recovery largely depends on the age of the revegetation and after-fire management.

Foundation Of The Superhypersoft Set And The Fuzzy Extension Superhypersoft Set: A New Vision, Florentin Smarandache

Neutrosophic Systems with Applications

We introduce for the first time the SuperHyperSoft Set and the Fuzzy and Fuzzy Extension SuperHyperSoft Set. Through a theorem, we prove that the SuperHyperSoft Set is composed from many HyperSoft Sets.

Subscribe To Open In Practice: Library Lightning Round, John Felts, Moriana Garcia, Kate Mccready, Jason Price, Curtis Brundy

Library Faculty Presentations

• Where does S2O fit in with your open investment/collections strategies?

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Final 2023 Residential Metals Abatement Program (Rmap) Peoples Park Soil Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Development Of Robust And Accurate Thermo-Electrochemical Models For Lithium-Ion Batteries, Ehab Bayoumi

Mechanical Engineering

Integrating lithium-ion batteries (LIBs) as an energy storage system in electronic devices, including electric vehicles (EVs), creates new challenges. LIB design must be optimized according to the specifications of each application to improve battery performance and safety in each application while avoiding rapid battery degra dation. Therefore, accurate models that can forecast the performance of LIBs under various operating conditions are required. Consequently, the primary purpose of this study is to establish a battery model that accounts for the correct thermal heating of large prismatic batteries (PBs) used in EVs. Due to large fluctuations in the space current and Temp …

Methods And Systems For Determining An Ionic Strength Of A Dilute Aqueous Solution, Robert H. Byrne

USF Patents

Disclosed herein are methods for measuring the ionic strengths of the natural water sources. Also disclosed herein are systems used to measure an ionic strength of the natural water sources. More specifically disclosed herein are methods and systems utilizing spectroscopic pH measurements and calculations of the ionic strength as a function of the measured pH.

Representation And Visualization Of Multivariate Sensory Time Series Data, Ismail Uysal, Alla Abdella

USF Patents

In accordance with some embodiments, systems, methods, and media for processing and representing multivariate sensor information gathered from multiple sources are provided. In some embodiments, the method comprises: receiving a data sequences from respective sources; identifying a shortest data sequence that corresponds to a first interval; calculating, for pairs of data sequences, a similarity value over the first interval; forming a first segment of a representative data sequence that is a weighted combination of the data sequences over the first interval based on similarity values associated with the data sequences; truncating at least a subset of data sequences to exclude …

Anonymity Preserving Data Collection Using Homomorphic Encryption, Jean-Francois Biasse, William Youmans, Sriram Chellappan, Nathan Fisk, Noyem Khan

USF Patents

A public key generated by each user of a plurality of users is used to encrypt the contacts for that user. The results are sent to a server by each user. The key generated by each user is then distributed to every other user in the system, and each recipient encrypts their contacts with the keys. The result of these encryptions for all contacts for all recipients is then received by the server, and the server computes an encrypted computation of equality of two contacts and sends all computations back to the original user. The user can use the homomorphic …

Human Vs Machine: Hyper-Realistic Avatars And Their Efficacy As A Communication Channel, Jill S. Schiefelbein

USF Tampa Graduate Theses and Dissertations

Hyper-realistic avatars (HRAs), a form of synthetic media, are custom-created digital embodiments of a human, created by capturing and combining that person’s video and vocal likeness. This is the first known study of the efficacy of videos delivered by hyper-realistic avatars as a communication channel in comparison to videos delivered by their human counterparts. An experiment testing how information retention, engagement, and trust vary between viewers of videos delivered by a real human, videos delivered by the HRA representing that same human, and videos delivered by the HRA that discloses to viewers that it is a hyper-realistic avatar is presented. …

Original Library Collection Provides Insights Into Um’S Early Days, Staff Report

University of Mississippi News

Archivist working on project ahead of University Libraries' anniversary next year

Employment Of Intelligent Predictive Maintenance On Thermal Power Plant Component Parts Taking Condenser Vacuum As A Case Study, Titus Ajewole

Tanzania Journal of Engineering and Technology (TJET)

This work proposes deployment of machine learning in the maintenance of individual constituent parts of steam power plant assemblages. With the condenser vacuum of a steam turbine (in a six-turbine plant assemblage) taken as a case study, information on the past operating parameters of the selected plant component was used to forecast its future working condition. Based on Exponential Gaussian Process of Regression, a model was developed, trained using the diachronic operational data, and employed in determining the future. A quantitative evaluation was employed to provide the distribution of the test values of the data about the lines of regression, …

Approved Programs 11-7-23, Angela Brock

Programs Committee (PC)

No abstract provided.

Executive Committee - Agenda 11/7/2023, Academic Senate

Academic Senate Agendas

No abstract provided.

Programs Agenda 11-7-23, Angela Brock

Programs Committee (PC)

No abstract provided.

Wide Range Thin-Film Ceramic Metal-Alloy Thermometers With Low Magnetoresistance, Nathanael Fortune, Joyce E. Palmer-Fortune, A. Trainer, A. Bangura, N. Kondedan, A. Rydh

Physics: Faculty Publications

Many thermal measurements in high magnetic fields require thermometers that are sensitive over a wide temperature range, are low mass, have a rapid thermal response, and have a minimal, easily correctable magnetoresistance. Here we report the development of a new granular-metal oxide ceramic composite (cermet) for this purpose formed by co-sputtering of the metallic alloy nichrome Ni0.8Cr0.2 and the insulator silcon dioxide SiO2. The resulting thin films are sensitive enough to be used from room temperature down to below 100 mK in magnetic fields up to at least 35 tesla.

Ucc Minutes 11-7-23, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Modelling Prediction Of Cities Real Estate Price Trend Using Recurrent Neural Network: A Case Of Dar Es Salaam City, Ellen Kalinga

Tanzania Journal of Engineering and Technology (TJET)

Real estate refers to a class of real property such as land and its associated infrastructure. The prediction of real estate prices in cities, which is affected by a number of parameters, is an open research problem. The lack of reliable and effective tools for price forecasting in real estate, especially in residential housing, can adversely affect investment flows and the growth of the real estate sector. Taking Tanzania as an example, the price prediction practices rely on human suggestions that are prone to personal bias and subjective to price hysteria for personal gain and impact consumer expectations. To address …

A Bio-Economic Modeling Analysis Of Livestock Grazing On Rangelands Utilizing A Supplementary Grazing Resource, Jessica L. Windh

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation is a compilation of 5 chapters culminating in a bioeconomic model of the interactions between an integrated crop-livestock system and native rangeland grazing system. The model is developed using data from the eastern Sandhills of Nebraska, a location where cropping systems of Eastern Nebraska border one of the last intact grasslands remaining in North America.

The first chapter introduces the reader to the systems that will be modeled in the dissertation. In Chapter 2 we used a linear regression to model grassland biomass production as a function of climatic variables; we were unsuccessful in modeling season-long production in …