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2024 Kentucky Water Resources Annual Symposium, Kentucky Water Research Institute

Kentucky Water Resources Annual Symposium

The program and proceedings contains details of the 2024 Kentucky Water Resources Symposium, including presentations, award winners, and poster presentations.

This symposium was planned and conducted as a part of the state water resources research institute annual program that is supported by Grant/Cooperative Agreement Number G21AP10631-02 from the United States Geological Survey (USGS). The contents of this proceedings document and the views and conclusions presented at the symposium are solely the responsibility of the individual authors and presenters and do not represent the official views of the USGS or of the symposium organizers and sponsors. This publication is produced with …

2024 Kentucky Water Resources Annual Symposium, Kentucky Water Research Institute

Kentucky Water Resources Annual Symposium

No abstract provided.

Polyvinyl Alcohol–Red Cabbage Nanofibers As Ph-Responsive Freshness Sensors For Advanced Food Packaging Technology, Foliatini Foliatini, Singgih Wibowo, Henny Rochaeni, Suhartini Suhartini, Fachrurrazie Fachrurrazie, Arzzaq Imanda Prianditya, Pradnadia Putri Hadriansyah, Naura Athira Putri Siregar, Novi Nurpadilah, Putri Alfiani, Maudi Rahim, Endah Sriwahyuni

Makara Journal of Science

The development of innovative food packaging technologies, particularly those capable of monitoring freshness, has become increasingly important in the food industry. This research explores the development of a pH-responsive freshness sensor using polyvinyl alcohol–red cabbage (PVA/RC) nanofibers. The nanofibers are fabricated through the electrospinning technique and meticulously analyzed via scanning electron microscopy, Fourier-transform infrared (FTIR) spectroscopy, and differential scanning calorimetry (DSC). The results underscore the fine structure of the nanofiber matrix, with an average diameter of ~68 nm. FTIR analysis substantiates the presence of anthocyanin compounds from RC within the PVA/RC nanofibers, which confirms the integration of beneficial components into …

An Optimal Schedule Recovery Model For Transportation Carriers Under Uncertain Typhoon Disruption Periods, Yi-Chun Chen, Shangyao Yan

Journal of Marine Science and Technology–Taiwan

Due to the unsettled weather conditions caused by typhoons, it is not possible to forecast the time when a typhoon will arrive or depart accurately. The uncertainty regarding the duration of typhoon disruptions makes it challenging for transportation carriers to efficiently adjust their schedules. In this study, to deal with the problem of airline fleet rerouting, flight rescheduling, and passenger reassignment for uncertain disruption periods caused by a typhoon, we utilize network flow techniques with the concept of probability to construct a stochastic model for minimizing the total operating costs. A heuristic algorithm based on the divide-and-conquer technique is adopted …

Chacahoula 2024, Vol 91, Alayna Pellegrin

Chacahoula

MERGING REALITIES:

The 2023 issue of Chacahoula includes December 2023 and May 2024 graduating classes, as well as stunning photography of Week of Welcome, Homecoming, Mardi Gras, and Spring Fever. With features covering notable students, faculty, and staff, this year's time capsule beautifully preserves an academic year in the life of the University of Louisiana at Monroe.

Characterizing Biomolecular Structure Features Through An Innovative Elliptical Dichroism Spectrometry For Cancer Detection, Yusuf Asad, Keerthi Priya Jangili, Amara Arshad, Maliha Elma, Komila Rasuleva, Alfred Akinlalu, Tommy Gao, Umamaheswara Rao Tida, Wenjie Xia, Dali Sun

Electrical and Computer Engineering: Faculty Scholarship

This research introduces a novel method for evaluating the structural features of biomolecules, utilizing our innovative Elliptical Dichroism (ED) spectrometer specifically designed for stereochemical analysis. By integrating ED spectrometry with autocorrelation (AC) analysis, we investigate the conformational characteristics of biological molecules such as amino acids, proteins, and extracellular vesicles (EVs) induced by elliptically polarized UV absorption. Our streamlined approach offers a cost-effective and portable solution with minimal sample consumption and supports multiple working modes to efficiently characterize biomolecular structures. The insight from this new approach demonstrates potential applications in using biomolecular characterization for cancer detection.

Irrigation Pumping Plants: Energy Consumption And Pumping Plant Performance [Class Handout], Derek M. Heeren, Saleh Taghvaeian, Abia Katimbo, Xin Qiao

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Irrigation can be a large contributor to energy consumption on an irrigated farm. It is important to understand factors that impact irrigation energy use and to identify opportunities to reduce energy consumption. This class handout introduces a set of equations for calculating energy consumption for an irrigation pumping plant based on flow conditions and pump efficiency. It also presents typical values for motor performance (including both electric motors and internal combustion engines) in both SI and USCS units. Finally, the handout introduces the concept of a field evaluation of an irrigation pumping plant along with the Nebraska Pumping Plant Performance …

Prediction Of Mooring System Characteristics Of The Floating Barge Using Deep Neural Networks, Janghoon Seo, Dong-Woo Park

Journal of Marine Science and Technology–Taiwan

The present study establishes deep learning models to predict the tensions and inclinations of mooring lines of a floating barge and verifies applicability of these models. Hydrodynamic and mooring analyses are conducted on the dataset used for the deep learning models. Three types of neural network models include a deep neural network (DNN) with input data representing the six degrees of freedom motions of a floating barge, convolutional neural network (CNN) with input images of the floating barge and mooring lines on a horizontal plane, and hybrid neural network (HNN) that consolidates the characteristics of DNN and CNN models. The …

Mapping Of The Potential To Substitute Plastic In Food Packaging In Finnish Supermarkets, Taina Lahtinen, Kirsi Kataja, Jari Viitanen, Vinay Kumar, Jussi Lahtinen, Ali Harlin

Journal of Applied Packaging Research

Single-use plastics (SUP), which are extensively utilized in food packaging, are one notable cause for the constantly growing littering issue. This novel study is one of the first attempts to systemically analyze food packaging data to reveal the potential for plastic packaging material reduction or substitution by utilizing a primary packaging material summary of single items sold in Finnish supermarkets. The outcome of the study indicates considerable dissimilarities among product groups concerning used packaging materials, weight, share of plastic, and sales volume. The analysis identified sweets and ready-to-eat meals as product groups for which there is a clear need, but …

09.16.2024 Orsp Connect, Liz Williamson

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09.09.2024 Orsp Connect, Liz Williamson

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Integrated Environmental Vulnerability Assessment And Adaptation Strategies For Coastal Areas Under Sustainable Development, Lien-Kwei Chien, Yu-Chi Li, Chia-Feng Hsu

Journal of Marine Science and Technology–Taiwan

This research focuses on the holistic management and environmental vulnerability of coastal areas in Taiwan within the framework of sustainable development. With economic and social growth gravitating towards coastal regions, the strain on the natural environment is increasing. Therefore, discovering a balance between economic progress and environmental conservation is paramount. To decipher the vulnerability of Taiwan's coastal zones, this study first defines ‘Integrated Environmental Vulnerability of Coastal Areas.’Key vulnerability factors were identified across environmental, social, and economic dimensions. Seven core determinants were determined using the Fuzzy Delphi method: biodiversity, coastal erosion, water pollution, population density, population aging, land utilization, and …

Evalution Of The Ability To Infer Tilt Angle And Size Distributions Of Fish Using A Broadband Scientific Echosounder Based On Simulation, Jing Liu

Journal of Marine Science and Technology–Taiwan

The biological information, such as species, size, and tilt angle, is crucial for converting the echo data into biomass information in acoustic surveys. Typically, the information can be obtained through trawl net sampling or underwater camera observations. However, both methods have some limitations. To overcome these limitations, scientists have utilized inversion methods with multi-frequency and broadband echosounders to derive biological information about fish, plankton, and krill. However, evaluating the reliability and accuracy of these inversion methods has been challenging due to the difficulty in obtaining accurate biological information. In this study, a numerical simulation method was used to generate fish …

A Marine Knowledge System For Ocean Affairs: Integrating Data, Evaluating Usage, And Enabling Sustainable Marine Management, Yu-Jen Pan

Journal of Marine Science and Technology–Taiwan

This study presents the evolution and assessment of the Marine Knowledge Education System (MKES), designed to improve user acceptance among students in professional marine science courses in Taiwan. The MKES leverages real-world maritime cases from the General Coast Guard Administration and is built upon existing technologies like cloud services, social networks, and data analysis tools. The technology acceptance model (TAM) provides the theoretical underpinning for the assessment of user confidence. Data was collected from 190 participants through purposive sampling. Path analysis confirmed all hypothesized relationships within the TAM with statistical significance (p < 0.001). Additionally, paired-sample t-tests revealed a significant increase in student acceptance of the MKES after integrating it into the marine science curriculum. These findings underscore the capacity of the MKES as a digital learning tool to enrich course pedagogy and improve student learning outcomes, thereby offering valuable support in advancing the education of professional marine managers.

09.03.2024 Orsp Connect, Liz Williamson

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Development Of A Disc Blade Cutting System For Sesame Harvesting: Determination Of Operating Criteria And Energy Requirements, Selcuk Ugurluay, Gamze Genc

The Philippine Agricultural Scientist

This study aimed to explore the use of rotary disc blades in cutting, since the mowing units used in sesame harvesting contain many parts, require frequent lubrication, and have vibration problems. An experimental setup with a disc blade working on a cut-mowing system based from harvesting methods of sesame plants was designed and fabricated. The most suitable cutting criteria which are blade edge types (30°-30°, 30°-Flat, 45°-45°, 45°-Flat) and disc blade diameters (150, 180, and 210 mm) were determined for shearing and disc cutting action. The lowest cutting energy was consumed by the disc blade with a 30°-wedge angle at …

A P-Graph Approach For Planning Sustainable Rice Straw Management Networks, Victoria Migo Sumagang Maria, Michael Angelo B. Promentilla

The Philippine Agricultural Scientist

The Philippines produces up to 15.2 Mt of rice straw waste annually. Unmanaged rice straw waste disposal can lead to pollution from open field burning. On the other hand, rice straw agricultural waste can be used sustainably to produce valuable products such as mushrooms, fodder, pellets, or bioenergy, in a rice straw management system. Such systems can be optimized using Process Integration tools so that the raw materials are used efficiently at the maximum profit and with a minimal carbon footprint. The P-graph framework is an efficient Process Integration tool that solves Process Network Synthesis problems. A P-graph finds the …

Boar Sperm Performance In Polystyrene Transport Cool Box Under Various Storage Conditions And Holding Times [Rsearch Note], Santiago T. Peña Jr., Bianca Therese P. Ymas, Mark Edd B. Janier, Heherson A. Luza

The Philippine Agricultural Scientist

When transporting highly valuable boar semen samples over long distances, it is crucial to ensure that boar semen is stored ideally at approximately 15 – 17°C to minimize the impact of cold shock and oxidative damage on sperm quality. This study evaluated the performance of a commercially available semen and embryo polystyrene transport cool box, BotuFLEX®, in preserving the quality of extended boar semen under different storage conditions and holding times. Boar ejaculates were extended at 1:1 or 1:3 using a commercial mid-term extender, stored in a BotuFLEX® semen cool box, and examined 24 vs. 48 h thereafter (Experiment 1; …

Resting-State Eeg Microstate Features For Major Depressive Disorder Classification, George M. V. Quinn

Dissertations, Theses, and Capstone Projects

Neuroimaging studies have revealed consistent abnormalities in functional connectivity within specific neural networks that may serve as biomarkers for major depressive disorder (MDD). It is important to find inexpensive, non-invasive techniques that target these biomarkers to make diagnosis easier and more objective. EEG microstates are quasi-stable potential topographies that are thought to reflect the quasi-stable network activity of the underlying neural generators. MDD has been shown to alter features of the four canonical EEG microstates (A, B, C, D) with some conflicting results. The most consistent network abnormalities in MDD are found in the anterior default mode network, and this …

Seal Counting On Our Plages (S.C.O.O.P.), Kaanan Kharwa

Master's Theses

The Vertebrate Integrative Physiology (VIP) lab monitors the population of northern elephant seals at the largest mainland breeding colony, located at Piedras Blancas (San Simeon, CA). As the population expands, more human-seal interactions and conflicts over land use occur. The VIP lab's work informs California State Parks and helps with the management of the rookery. Currently, members of the VIP lab fly a drone over the beaches, capture multiple images, and manually count the seals, which takes around 14 to 21 hours of analysis per survey. Machine learning methods such as Convolutional Neural Networks (CNN) and Region-based Convolutional Neural Networks …

In Silico Modelling And Docking Simulation Of Egfr-Targeted Diphtheria Toxin Chimera With Various Targeting Moieties, Muhammad Afif Naufal Bmed, Benedictus Ansell Susanto Bmed, Talitha Dinda Gunawan Bmed, Azhar Ridha Lukman Bmed, Alifa Rahma Rizqina Bmed, Muhammad Misbahul Fuad Bmed

Indonesian Journal of Medical Chemistry and Bioinformatics

Introduction: Cancer is a major etiology of death worldwide due to high mortality and suboptimal medicine. However, an emerging field, targeted therapy enabled a more selective and effective therapeutic action. This article aims to analyze in-silico the hypothetical targeted therapy agent that is combinations of conjugate consisting of EGFR targeting moieties and diphtheria toxin (DT-390).

Method: Our novel peptide is a conjugate of a novel EGFR targeting peptide and DT-390, forming a chimera. The tertiary structure was predicted using AlphaFold 2.0. The best IDDT scoring and stereochemistry profiles were utilized. The HADDOCK2.4 webserver modelled the docking between our …

The Prospect Of Indonesian Herbal As An Alternative Treatment For Covid-19 Patient: A Literature-Based Study, Hadi Sunaryo, Wahyu Hidayati

Indonesian Journal of Medical Chemistry and Bioinformatics

Coronavirus disease 2019 (COVID-19) is a new disease caused by a novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The disease has several symptoms from mild to severe and could lead to death for comorbidities and the elderly. Therefore, the infections and mortality cases keep growing day by day, moreover many authorities are trying to suppress it by applying several health protocols, including medicines. Several studies were conducted on drug discovery from plants to cure the disease. The article aimed to do a narrative review about the prospect of JAMU becoming an alternative medicine to cure COVID-19 by mapping …

A Step By Step Shoreline Attribute Analysis For Selected Waterbodies In The Gulf Of Mexico To Promote The Use Of Living Shorelines, Christoper Boyd, Xutong Niu, Taylor R. Horn

Journal of Extension

Living Shorelines are being promoted by coastal extension professionals as a more resilient nature-based solution to control shoreline erosion. The Virginia Institute of Marine Sciences Living Shorelines Suitability Model was run in selected waterbodies within the Gulf of Mexico.

The locations of the selected water bodies, coastal data sets used, and shoreline protection recommendations generated by the Model are presented. A step-by-step statistical analysis conducted through ArcGIS Pro from these selected coastal shorelines will illustrate how extension professionals with novice GIS experience can use the model output to promote living shorelines to coastal property owners, city managers, and developers.

08.26.2024 Ored Connect, Liz Williamson

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Metabolite Biomarker Discovery For Lung Cancer Using Machine Learning, Ariski Fajarido, Linda Erlina, Aryo Tedjo, Fadilah Fadilah, Wawaimuli Arozal

Indonesian Journal of Medical Chemistry and Bioinformatics

Lung cancer is the leading cause of cancer death worldwide. About 2.1 million lung cancer patients were diagnosed in 2018, accounting for about 11.6% of all newly diagnosed cancer cases. For lung cancer, blood is the first choice as a source of screening biomarker candidates. Blood biomarkers provide a snapshot of the patient's entire body, including the primary tumor, metastatic disease, immune response, and peritumoral stroma. However, sputum sampling, bronchial lavage or aspiration, exhaled breath (EB), and airway epithelial sampling represent unique samples for lung cancer and other airway cancers as potential sources for alternative biomarkers. Metabolites are products of …

08.19.2024 Orsp Connect, Liz Williamson

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In-House Polydimethylsiloxane Microfluidic Device On Single Cell Trapping And Culturing Of Leukemia Cell Line: Comparison Between Conventional And Conventional With Centrifugal Methods, Alongkorn Pimpin, Sudchaya Bhanpattanakul, Tepparit Wongpakham, Chomkwan Tawatcharaporn, Thanawit Siha-Umphai, Mookdapa Sinsiriphan, Atikan Chalermchuang, Tewan Tongmanee, Attawut Thanomsridetchai, Thammawit Suwannaphan, Witsaroot Sripumkhaie, Pattaraluck Pattamang, Mayuree Chanasakulniyom, Praprudee Piyaviriyakul, Wutthinun Jeamsaksiri, Achariya Sailasuta, Theerawat Tharasanit, Theerayuth Kaewamatawong

The Thai Journal of Veterinary Medicine

To develop a suitable model to study biological and characterization of Cancer stem cells (CSCs), single cell trapping and culturing using microfluidic techniques have become a high-through put system that can manage and control microenvironment and practical intracellular analysis. The aim of this study was to develop and validate a microfluidic device for single cell trapping and culturing using the leukemia cell line as a cell model. Comparison between conventional and conventional with centrifugal methods was also analyzed. To compare trapping efficacy between these 2 methods, leukemia cell concentration of 1.5×106 cells/ml was loaded with a flow rate of 0.25 …

Balancing Results From Ai-Based Geostatistics Versus Fuzzy Inference By Game Theory Bargaining To Improve A Groundwater Monitoring Network, Masoumeh Hashemi, Richard C. Peralta, Matt Yost

Plants, Soils and Climate Student Research

An artificial intelligence-based geostatistical optimization algorithm was developed to upgrade a test Iranian aquifer's existing groundwater monitoring network. For that aquifer, a preliminary study revealed that a Multi-Layer Perceptron Artificial Neural Network (MLP-ANN) more accurately determined temporally average water table elevations than geostatistical kriging, spline, and inverse distance weighting. Because kriging is usually used in that area for water table estimation, the developed algorithm used MLP-ANN to guide kriging, and Genetic Algorithm (GA) to determine locations for new monitoring well location(s). For possible annual fiscal budgets allowing 1-12 new wells, 12 sets of optimal new well locations are reported. Each …

08.05.2024 Orsp Connect, Liz Williamson

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Dr. John C. Higginbotham, Federal Demonstration Partnership (FDP), COPE (Clinic for Outreach and Personal Enrichment)

08.05.2024 Ored Connect, Liz Williamson

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