Digital Commons Network^™

Greenhouse Gas Accounting For Western Australian Agriculture 2022, Johnny Machon, Mandy Curnow, Christophe D'Abbadie

Climate Science Published Reports

This report presents new modelling of the greenhouse gas emissions attributable to Western Australia’s agricultural industries and provides an overview of sequestration at the state level. The report improves and expands on the estimates from previous technical reports by the Department of Primary Industries and Regional Development (DPIRD), most notably Curnow et al. (2022). The report presents a new, much broader picture, capturing not only emissions from agricultural activities in Western Australia (WA), but also the emissions associated with the production of agricultural inputs and the sequestration that occurs on agriculturally managed lands. This broader picture of emissions aligns with …

The Santa Clara, 2024-10-31, Santa Clara University

The Santa Clara

No abstract provided.

A Large Scale Multi Institutional Study For Radiomics Driven Machine Learning For Meningioma Grading, Mert Karabacak, Shiv Patil, Rui Feng, Raj K. Shrivastava, Konstantinos Margetis

Department of Medicine Faculty Papers

This study aims to develop and evaluate radiomics-based machine learning (ML) models for predicting meningioma grades using multiparametric magnetic resonance imaging (MRI). The study utilized the BraTS-MEN dataset's training split, including 698 patients (524 with grade 1 and 174 with grade 2-3 meningiomas). We extracted 4872 radiomic features from T1, T1 with contrast, T2, and FLAIR MRI sequences using PyRadiomics. LASSO regression reduced features to 176. The data was split into training (60%), validation (20%), and test (20%) sets. Five ML algorithms (TabPFN, XGBoost, LightGBM, CatBoost, and Random Forest) were employed to build models differentiating low-grade (grade 1) from high-grade …

Improving Rice Yield Using Sensor Based Nitrogen Application And Best Management Practices (Bmps) In Rice-Soybean And Rice-Crawfish Rotational Systems, Charles Darnall

LSU Master's Theses

Sustainable rice farming requires effective nutrient management and conservation practices to maintain high yields and minimize environmental impact. Implementing best management practices (BMPs) promotes lower fertilizer application rates, increased N use efficiency, improves soil health, and water quality. Demonstration fields established in two different rotational cropping systems (rice-soybean and rice-crawfish) in Kaplan, LA in 2023. In each rotation system, the benefits of BMPs (sensor based mid-season N management and cover cropping) compared to farmer’s practice (FP) were evaluated using yield, yield components, soil and water quality as metrics. The rice-soybean fields in 2023 and 2024 were both planted with PVL03 …

Accumulation Of Road Salt In A Calcareous Fen: Kampoosa Bog, Western Massachusetts, Wayne Ndlovu, Andrew J. Guswa, Amy L. Rhodes

Geosciences: Faculty Publications

Road salt poses a threat to the quality of soils and water resources. Wetlands located in salt contaminated areas are at risk of experiencing lower plant and animal species diversity. Therefore, it is critical to understand how modifications to salt application rates and hydrological events impact wetland water quality. Here, we use chloride mass flux, discharge, groundwater chloride concentration, meteorological, and salt application data from 2012– 2020 to estimate chloride accumulation and outflux rates in the Kampoosa Bog subwatersheds, located in Stockbridge and Lee, Massachusetts, and bordered by major highways (Interstate-90 and U.S. Route 7). We also investigate the correlation …

Question Answering For Electronic Health Records: Scoping Review Of Datasets And Models, Jayetri Bardhan, Kirk Roberts, Daisy Zhe Wang

Faculty, Staff and Student Publications

Background: Question answering (QA) systems for patient-related data can assist both clinicians and patients. They can, for example, assist clinicians in decision-making and enable patients to have a better understanding of their medical history. Substantial amounts of patient data are stored in electronic health records (EHRs), making EHR QA an important research area. Because of the differences in data format and modality, this differs greatly from other medical QA tasks that use medical websites or scientific papers to retrieve answers, making it critical to research EHR QA.

Objective: This study aims to provide a methodological review of existing works on …

Unveiling Scientific Articles From Paper Mills With Provenance Analysis, João Phillipe Cardenuto, Daniel Moreira, Anderson Rocha

Computer Science: Faculty Publications and Other Works

The increasing prevalence of fake publications created by paper mills poses a significant challenge to maintaining scientific integrity. While integrity analysts typically rely on textual and visual clues to identify fake articles, determining which papers merit further investigation can be akin to searching for a needle in a haystack, as these fake publications have non-related authors and are published on non-related venues. To address this challenge, we developed a new methodology for provenance analysis, which automatically tracks and groups suspicious figures and documents. Our approach groups manuscripts from the same paper mill by analyzing their figures and identifying duplicated and …

Biodegradable And Green Controlled Release Formulations For Fertilizers, Srivalli Sriperambudur

USF Tampa Graduate Theses and Dissertations

This study aims to address environmental concerns associated with conventional fertilizers, and the persistence of synthetic polymers in soils and investigates the use of biodegradable cellulose esters as sustainable coatings for controlled-release fertilizers (CRFs). The focus is mainly on the synthesis of biodegradable cellulose esters as sustainable coatings for CRFs and applied as a coating on urea fertilizer prills to control nutrient release. The synthesized biodegradable coatings aim to provide effective nutrient delivery over time while minimizing environmental impact. Cellulose esters were synthesized using both saturated and unsaturated fatty acids, followed by crosslinking using thiols. Characterization techniques like FTIR, DSC, …

Unveiling Scientic Articles From Paper Mills With Provenance Analysis, João Phillipe Cardenuto, Daniel Moreira, Anderson Rocha

Computer Science: Faculty Publications and Other Works

The increasing prevalence of fake publications created by paper mills poses a significant challenge to maintaining scientific integrity. While integrity analysts typically rely on textual and visual clues to identify fake articles, determining which papers merit further investigation can be akin to searching for a needle in a haystack, as these fake publications have non-related authors and are published on non-related venues. To address this challenge, we developed a new methodology for provenance analysis, which automatically tracks and groups suspicious figures and documents. Our approach groups manuscripts from the same paper mill by analyzing their figures and identifying duplicated and …

The Role Of Social Media Influencer In Bringing Economic Content Closer To Moroccan Youth -Youtube As An Example-, Mohammed Omar Zouhri

Middle East Journal of Communication Studies

This study aims to monitor the effects of economic content published through the digital space in enhancing economic awareness among young people in Morocco, and empowering them with relevant knowledge and information in an attractive and simplified manner. The study begins by showing the extent to which young people, especially university students, interact with economic content through what social media influencers present on their YouTube channels. The study examines the nature of this content, its importance in bringing economic information closer to the public, and the extent of its ability to help a group of students improve their levels and …

Bridging The Protection Gap: Innovative Approaches To Shield Older Adults From Ai-Enhanced Scams, Ld Herrera, London Van Sickle, Ashley L. Podhradsky

Research & Publications

Artificial Intelligence (AI) is rapidly gaining popularity as individuals, groups, and organizations discover and apply its expanding capabilities. Generative AI creates or alters various content types including text, image, audio, and video that are realistic and challenging to identify as AI-generated constructs. However, guardrails preventing malicious use of AI are easily bypassed. Numerous indications suggest that scammers are already using AI to enhance already successful scams, improving scam effectiveness, speed and credibility, while reducing detectability of scams that target older adults, who are known to be slow to adopt new technologies. Through hypothetical cases analysis of two leading scams, the …

Wics Conference 2024: Creating Connections Together: Agenda And Abstracts, Daren D. Redfearn, Christopher A. Proctor

Water and Integrated Cropping Systems Conferences

WICS Conference 2024: Creating Connections Together

Agenda and Abstracts

Water Security (Quantity/Quality)

Nebraska Groundwater Quality Clearinghouse; Augustine Adjei, Martha Rhoades, and Kent Eskridge

Assessing the AquaCrop model’s accuracy for soybean under variable irrigation; Anmol Singh

Yield response of irrigated maize hybrids to water availability; Thais Murias Jardi, Saleh Taghvaeian, Chris Proctor, Daran Rudnick, and Chuck Burr

Using the DSSAT CERES-Maize model to evaluate farmers' irrigation decisions; Rintu Sen

Nutrient Management and Cycling

Effect of cover crop mixtures and crop rotation on nitrogen dynamics and crop yield in southeast Nebraska; Madhusudhan Adhikaari

Nitrogen inhibitors reduce nitrogen losses via ammonia volatilization, nitrous …

Enhancing Soil Texture And Bulk Density Mapping Using Soil Grids And Machine Learning: A Comparative Analysis With Observed Data, Aram Ali, Ismael O. Ismael, Hewa T. Mustafa, Diman Krwanji, Akram O. Esmail

Research outputs 2022 to 2026

Digital soil mapping plays a crucial role in understanding soil variability and informing sustainable land management practices. This study focuses on the Kurdistan Region of Iraq (KRI), evaluating the accuracy of SoilGrids, a global-scale soil mapping initiative, and exploring the efficacy of machine learning algorithms in refining soil properties estimations. The aim of this research was to assess and represent the physical parameters of soils effectively by comparing ground truth soil sampling data with data obtained from SoilGrids regarding clay, silt, and sand fractions and bulk density. Comparative analyses were conducted between ground truth soil sampling data and SoilGrids predictions, …

Learning Peer Support Interactions Via Bi-Lstm Graph Neural Networks For Suicide Risk Prediction, Harikrishna Marampelly

USF Tampa Graduate Theses and Dissertations

Suicide prevention through early detection using social media data has been widely studied. However, the critical role of peer support interactions among individuals with similar mental disorders has not been deeply investigated or explored. In this study, we explore peer interactions in online communities for individuals with bipolar disorder and leverage this information to predict suicide risk levels. We propose a model that uses contextualized posts and comments along with their sentiment features. By embedding these features into a peer support network, our model captures peer interactions and predicts suicide risk levels using the bidirectional LSTM Graph Neural Networks (Bi-LSTM …

Evaluation And Lessons Learned From The Dissemination And Implementation Science Scholars Program In The National Cancer Prevention And Control Research Network, Daniela B. Friedman, Cam Escoffery, Elaine H. Morrato, Cynthia A. Thomson, Courtney N. Petagna, Freda Allyson Hucek, Mary Wangen, Aubrey Villalobos, James R. Hébert Scd, Samuel Noblet, Mayank Sakhuja, David O. Garcia, Jennifer L. Cruz, Stephanie B. Wheeler

Faculty Publications

Background:

The Centers for Disease Control and Prevention (CDC)-funded Cancer Prevention and Control Research Network (CPCRN) has been a leader in cancer-related dissemination & implementation (D&I) science. Given increased demand for D&I research, the CPCRN Scholars Program launched in 2021 to expand the number of practitioners, researchers, and trainees proficient in cancer D&I science methods. Methods:

The evaluation was informed by a logic model and data collected through electronic surveys. Through an application process (baseline survey), we assessed scholars’ competencies in D&I science domains/subdomains, collected demographic data, and asked scholars to share proposed project ideas. We distributed an exit survey …

Removal Of Selenium Ions From Contaminated Aqueous Solutions By Adsorption Using Lemon Peels As A Non-Conventional Medium, Alanood A. Alsarayreh, Suha Anwer Ibrahim, Salem Jawad Alhamd, Thekra Atta Ibrahim, Mohammed Nsaif Abbas

Karbala International Journal of Modern Science

The disposal of heavy metals from various activities has become a pervasive issue. The investigation of sustain-able, low-cost adsorbents for the remediation of these hazardous pollutants has been widely disregarded. This research emphasizes the recovery of selenium ions from contaminated water using lemon peels as a cost-effective adsorbent. The adsorption was explored in a batch unit under various operational parameters, including initial selenium concentration (1-90 ppm), pH (1-11), agitation speed (100-500 rpm), adsorbent dose (0.4-5.5 g), contact time (5-180 minutes), and temperature (25-55 °C). The BET surface area of the lemon peels was found to be 27.86 m²/g before adsorption …

Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Remedial Design Documents For The Blacktail Creek Area Groundwater Hydraulic Control System, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Deformation Measurement And Safety Warning Of Highway Bridges Based On Machine Vision, Su Ziyue, Du Wenkang, Lei Dong

Journal of China & Foreign Highway

The structural safety of highway bridges plays a crucial role in traffic safety operations and regional economic development.Due to the rapid increase and complex changes in traffic loads，the demand for real-time monitoring of bridge ’s structural deformation and safety conditions has been increasingly prominent.However，the structural health monitoring system，dominated by contact sensors，has limitations such as difficult installation and construction，complicated maintenance and replacement，and the need to interrupt traffic.To this end，a non-contact deformation measurement system based on machine vision was proposed.Template matching and feature point recognition methods were utilized to achieve recognition of structural surface markings and displacement extraction of key positions.The accuracy …

10.28.2024 Orsp Connect, Liz Williamson

ORED Newsletter

ORSP Name Change

RED Talk

Businesses Invited to a Day With NASA

LINC Door Prize Winners

Evaluating Indoor Air Quality In Residential Environments: A Study Of Pm2.5 And Co2 Dynamics Using Low-Cost Sensors, Kabir Bahadur Shah, Dylan Kim, Sai Deepak Pinakana, Mkhitar A. Hobosyan, Armando Montes, Amit U. Raysoni

School of Earth, Environmental, & Marine Sciences Faculty Publications

Indoor air quality (IAQ) poses a significant public health concern, and exposures to high levels of fine particulate matter (PM2.5) and carbon dioxide (CO2) could have detrimental health impacts. This study focused on assessing the indoor air pollutants in a residential house located in the town of Mission, Hidalgo County, South Texas, USA. The PM2.5 and CO2 were monitored indoors: the kitchen and the bedroom. This investigation also aimed to elucidate the effects of household activities such as cooking and human occupancy on these pollutants. Low-cost sensors (LCSs) from TSI AirAssure™ were used in this study. They were deployed within …

Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Remedial Design Documents For The Blacktail Creek Area Groundwater Hydraulic Control System, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Highly Sensitive Detection Of Strontium Ions Using Metal-Organic Frameworks Functionalized Solid-State Nanochannels, Xu-Gang Wang, Zheng-Xu He, De-Fang Ding, Xue-Qin Luo, Li Dai, Wei-Qi Zhang, Qun Ma, Yu Huang, Fan Xia

Journal of Electrochemistry

Strontium-90, a highly radioactive isotope, accumulates within the food chain and skeletal structure, posing significant risks to human health. There is a critical need for a sensitive detection strategy for Strontium-90 in complex environmental samples. Here, solid-state nanochannels, modified with metal-organic frameworks (MOF) and specific aptamers, were engineered for highly sensitive detection of strontium ion (Sr²⁺). The synergistic effect between the reduced effective diameter of the nanochannels due to MOF and the specific binding of Sr²⁺ by aptamers amplifies the difference in ionic current signals, enhancing detection sensitivity significantly. The MOF-modified nanochannels exhibit highly sensitive detection of …

A Genome-Wide Association Study Identifies Genetic Determinants Of Hemoglobin Glycation Index With Implications Across Sex And Ethnicity, John S. House, Joseph H. Breeyear, Farida S. Akhtari, Violet Evans, John B. Buse, James Hempe, Alessandro Doria, Josyf C. Mychaleckyi, Vivian Fonseca, Mengyao Shi, Changwei Li, Shuqian Liu, Tanika N. Kelly, Daniel Rotroff, Alison A. Motsinger-Reif

School of Medicine Faculty Publications

Introduction: We investigated the genetic determinants of variation in the hemoglobin glycation index (HGI), an emerging biomarker for the risk of diabetes complications. Methods: We conducted a genome-wide association study (GWAS) for HGI in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (N = 7,913) using linear regression and additive genotype encoding on variants with minor allele frequency greater than 3%. We conducted replication analyses of top findings in the Atherosclerosis Risk in Communities (ARIC) study with inverse variance-weighted meta-analysis. We followed up with stratified GWAS analyses by sex and self-reported race. Results: In ACCORD, we identified single …

Radiomics-Based Machine Learning With Natural Gradient Boosting For Continuous Survival Prediction In Glioblastoma, Mert Karabacak, Shiv Patil, Zachary C. Gersey, Ricardo J. Komotar, Konstantinos Margetis

SKMC Student Presentations and Publications

(1) Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, with an aggressive disease course that requires accurate prognosis for individualized treatment planning. This study aims to develop and evaluate a radiomics-based machine learning (ML) model to estimate overall survival (OS) for patients with GBM using pre-treatment multi-parametric magnetic resonance imaging (MRI). (2) Methods: The MRI data of 865 patients with GBM were assessed, comprising 499 patients from the UPENN-GBM dataset and 366 patients from the UCSF-PDGM dataset. A total of 14,598 radiomic features were extracted from T1, T1 with contrast, T2, and FLAIR MRI sequences …

Aggression In Teenagers, Besarta Sadriu, Emrush Thaqi

UBT International Conference

This study analyzes the phenomenon of aggression among adolescents, including its origin, the most frequent forms of aggression that we encounter among adolescents, the factors that contribute to its development, as well as its consequences for the future of adolescents and society as a whole. In adolescence, biological, emotional and social changes often lead to increased feelings of aggression. Factors such as the influence of hormones, social pressure, and the modeling of behaviors in their environments are important in understanding adolescent aggression. Aggressive behaviors in this age group are characterized by impulsivity, a sense of threat and conflicts with authority. …

13th International Conference On Business, Technology And Innovation 2024, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2024

UBT Annual International Conference is the 13th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

International Conference On Computer Science, University For Business And Technology - Ubt

UBT International Conference

UBT Annual International Conference is the 13th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent …

Algorithmic Reason-Giving, Arbitrary And Capricious Review, And The Need For A Clear Normative Baseline, Cameron Averill

University of Cincinnati Law Review

Federal agencies have caught the artificial intelligence (AI) bug. A December 2023 report by the Government Accountability Office found that twenty of twenty-three federal agencies surveyed reported using some form of AI, with about two hundred current use cases for algorithms and about one thousand more in the planning phase. These agencies are using algorithms in all aspects of administration, including rulemaking, adjudication, and enforcement. The risks of AI are well-documented. Previous work has shown that algorithms can be, among other things, biased and prone to error. However, perhaps no problem poses a more serious threat to the use of …

Comment Letter For Butte Reduction Works (Brw) Phase Ii Interim Demolition Plan Construction Drawings And Floodplain Encroachment Analysis (Dated September 3, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Estimating The Economic Impact Of A Natural Disaster On The Workforce Resiliency: An Analysis Of The Virginia Beach - Chesapeake - Norfolk Metropolitan Statistical Area, Robert M. Mcnab, Yin-Hsuen Chen, George Mcleod

Presentations, Lectures, Posters, Reports

In this paper, we explore the potential economic impacts associated with a major hurricane making landfall in Hampton Roads. We estimate the direct damages from a Florence-like Category 3 hurricane with a 3.6 feet tidal offset are estimated at $15.6 billion, equivalent to 10% of the 2022 regional GDP. If we apply existing flood insurance rates to these projected damages, we estimate that the total economic impact would exceed $12 billion with a short-term loss of more than 76,000 jobs. The job losses are concentrated in sectors that provide services to households which would bear the brunt of damages during …