Digital Commons Network^™

Traditional Grassland And Fodder Management Systems In Tanzania And Potential For Improvement, R M. Otsyina, I Essai, D Asenga

IGC Proceedings (1977-2023)

The “Ngitiri” fodder conservation system was developed by the Sukuma agro-pastoralists as a strategy to alleviate acute dry season fodder constraints. This traditional agroforestry system provides the basis and opportunities for development of improved silvipastoral systems. Ngitiri is a major source of dry season fodder supply for livestock and thatch for roofing. The system is widespread in the Sukuma landuse system in central Tanzania. This paper presents the scope and importance of the Ngitiri system, management aspects, constraints, and farmers’ perceptions on improvement. Implications for agroforestry technology development in the Sukuma agropastoral system are also discussed.

Forage Seed Production In Egypt For Domestic Marker And For Export, M A. El-Nahrawy, A Rammah, O Niemelainen

IGC Proceedings (1977-2023)

In Egypt, no major effort is made to provide local and export markets with seeds of correctly identified and pure cultivars of forage crops in spite of the existence of all the essential factors for a successful seed industry. A wide genetic base of indigenous forage crops such as berseem clover and alfalfa, proper irrigation, a harvest and seed maturation period free from rain, sunshine and clear sky all year and highly fertile soils in isolated areas are available. Moreover, uncertified, uncontrolled and unidentified local seeds of berseem clover and alfalfa are highly demanded by foreign markets due to their …

Coastal Infrastructure And Climate Change Adaptation In Bangladesh: Ecosystem Services Insights From An Integrated Ses-Dapsir Framework, Md Monzer Hossain Sarker, Alberto Gabino Martínez-Hernández, Jesús Reyes Vásquez, Perla Rivadeneyra, Sebastian Sebastian Raimondo

Fondazione Eni Enrico Mattei Working Papers

The escalating impacts of climate change on coastal regions stress the urgency for effective adaptation strategies, particularly for the case of high-risk countries such as Bangladesh. Nature-based solutions, grey and mixed coastal infrastructure offer promising solutions for addressing these challenges. Prior publications have utilized decision-making models such as the DPSIR framework to explore the link between coastal infrastructure and climate change. However, until now none of them have used it in combination with broader frameworks. Moreover, few works have analyzed the south central coast of Bangladesh by following an integrated approach. Hence, this working paper aims to bridge these gaps …

Exploring Teacher Perceptions On The Effectiveness Of The Freshman Academy, Renee C. Goode-Boyd

Walden Dissertations and Doctoral Studies

A Southeastern school district created freshman academies to assist freshman students with strategies and support they need to combat ninth-grade failure successfully, but little change was observed. The purpose of the study was to explore teachers' perceptions of the freshman academy's transition program structure, benefits, challenges, and effectiveness. The conceptual framework for this study encompassed elements of constructivist theory, which explains how children adapt to their environments and learn how to process information successfully. The research questions examined teachers' perceptions regarding the benefits, challenges, and perceived effectiveness of the freshman academy intervention program. The data for this basic qualitative study …

Facets Of Neuroticism As Predictors Of Heart Rate Variability And Psychological Distress, Mikel Cressman

Theses and Dissertations

Heart rate variability (HRV) and personality are related to both physical and mental health outcomes. Previous research has found a relationship between neuroticism and distress while the findings on the relationship between neuroticism and HRV are mixed. Studying the facets of neuroticism may provide a more nuanced view of the effects of personality on HRV and distress. Previous research has suggested that the vulnerability facet of neuroticism appears to be uniquely related to the cardiovascular response to stress. This study's first hypothesis is that individuals with higher scores on the vulnerability facet will have lower heart rate variability. The second …

Mdf-Dta: A Multi-Dimensional Fusion Approach For Drug-Target Binding Affinity Prediction, Amit Ranjan, Adam Bess, Chris Alvin, Supratik Mukhopadhyay

Faculty Publications

Drug-target affinity (DTA) prediction is an important task in the early stages of drug discovery. Traditional biological approaches are time-consuming, effort-consuming, and resource-consuming due to the large size of genomic and chemical spaces. Computational approaches using machine learning have emerged to narrow down the drug candidate search space. However, most of these prediction models focus on single feature encoding of drugs and targets, ignoring the importance of integrating different dimensions of these features. We propose a deep learning-based approach called Multi-Dimensional Fusion for Drug Target Affinity Prediction (MDF-DTA) incorporating different dimensional features. Our model fuses 1D, 2D, and 3D representations …

Fundamental Limits In Measuring The Anisotropic Rotational Diffusion Of Single Molecules, Weiyan Zhou, Tingting Wu, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Many biophysical techniques, such as single-molecule fluorescence correlation spectroscopy, Förster resonance energy transfer, and fluorescence anisotropy, measure the translation and rotation of biomolecules to quantify molecular processes at the nanoscale. These methods often simplify data analysis by assuming isotropic rotational diffusion, e.g., that molecules wobble within a circular cone. This simplification ignores the anisotropy present in many biological contexts that may cause molecules to exhibit different degrees of diffusion in different directions. Here, we loosen this assumption and establish a theoretical framework for describing and measuring anisotropic rotational diffusion using fluorescence imaging. We show that anisotropic wobble is directly quantified …

Phytoplankton Community Dynamics In The Northern California Current System, Kristin E. Forgrave

Dissertations and Theses

The Northern California Current system is a productive coastal ecosystem encompassing a variety of temporal and spatial features. The photosynthetic microbial community plays a crucial role in supporting the rich ecosystem and its economically important fisheries. My research integrates data across location and two years to investigate the community composition of two major phytoplankton groups in this system: picocyanobacteria and photosynthetic picoeukaryotes (PPE). The abundances and sizes of the phytoplankton were measured using flow cytometry. I found PPE present at similar concentrations in both summer and winter seasons. Abundances of both PPE and picocyanobacteria were comparable in the winter, but …

Adopting Oer Course Materials: Instructor Experiences, Jenny Ceciliano

Dissertations and Theses

Traditional commercial textbooks used in postsecondary courses are often problematic due to their rigidity, tendency to mirror the dominant culture, and the substantial cost imposed upon students. Although replacing these texts with open educational resources (OER) can facilitate more equitable and inclusive pedagogical practices while removing a significant expense, there has been insufficient research surrounding instructors' experience of transitioning from a commercial textbook to OER course materials. Through semi-structured interviews with nine postsecondary instructors who teach with OER course materials, this basic qualitative study explores the experience of that transition. The findings indicate that adopting OER is a challenging and …

Redefining The Scope Of The Curtius Reaction Via A Dehomologation Of Carboxylic Acids Bearing An Alpha Leaving Group. Determining The Stereoelectronic Limitations Of The Crimmins Anti-Selective Asymmetric Glycolate Aldol Addition Reaction., Joy Odeh

Theses and Dissertations

The Curtius rearrangement is an important synthetic transformation in organic chemistry and is named in honor of Theodore Curtius who developed this reaction in the late 19th century. The rearrangement involves the conversion of a carboxylic acid into a primary amine through an isocyanate intermediate. The isocyanate is formed by the thermal decomposition of an acyl azide intermediate formed from the carboxylic acid starting material. The thermal decomposition is accompanied by the migration of the substituent bound to the carboxyl group of the acyl azide. When exposed to different nucleophiles, these isocyanates can then be converted to the corresponding amines, …

Students Bypass The Syllabus To Utilize Alternate Lms Locations For Assignment Deadlines, Savannah Lopez, Allison Pham, Jeremy L. Hsu, Patricia A. Halpin

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The syllabus is a required document for all courses to provide students with course information, policies, and assignment deadlines. The goals of this study were to investigate students’ perception of the role of the syllabus, preferred location of assignment deadlines, and preferred style of receiving deadline notifications. Faculty (n = 14) and students (n = 324) from community colleges through professional schools were invited to participate and complete a survey. We used a mixed-method design of survey questions, and the results demonstrated that students defined a syllabus as both a contract and a learning tool and that it …

Ai-Assisted Segmentation Tool For Brain Tumor Mr Image Analysis, Myungeun Lee, Jong Hyo Kim, Wookjin Choi, Ki Hong Lee

Department of Radiation Oncology Faculty Papers

TumorPrism3D software was developed to segment brain tumors with a straightforward and user-friendly graphical interface applied to two- and three-dimensional brain magnetic resonance (MR) images. The MR images of 185 patients (103 males, 82 females) with glioblastoma multiforme were downloaded from The Cancer Imaging Archive (TCIA) to test the tumor segmentation performance of this software. Regions of interest (ROIs) corresponding to contrast-enhancing lesions, necrotic portions, and non-enhancing T2 high signal intensity components were segmented for each tumor. TumorPrism3D demonstrated high accuracy in segmenting all three tumor components in cases of glioblastoma multiforme. They achieved a better Dice similarity coefficient (DSC) …

Establishing Silphids In The Invertebrate Dna Toolbox: A Proof Of Concept, Katherine E. Higdon, Kristin Brzeski, Melanie A. Ottino, Tara Bal

Michigan Tech Publications

Environmental DNA (eDNA) analyses are an increasingly popular tool for assessing biodiversity. eDNA sampling that uses invertebrates, or invertebrate DNA (iDNA), has become a more common method in mammal biodiversity studies where biodiversity is assessed via diet analysis of different coprophagous or hematophagous invertebrates. The carrion feeding family of beetles (Silphidae: Coleoptera, Latreille (1807)), have not yet been established as a viable iDNA source in primary scientific literature, yet could be useful indicators for tracking biodiversity in forested ecosystems. Silphids find carcasses of varying size for both food and reproduction, with some species having host preference for small mammals; therefore, …

Draft Genome Assemblies Of Three Klebsiella Grimontii Strains Isolated From Catheterized Urine Samples From The Same Male Participant Over The Course Of 6 Months, Helen Appleberry, Warwick Price, Lorenzo Roque, Evelyn Umana, Alan J. Wolfe, Catherine Putonti, Alex Kula

Biology: Faculty Publications and Other Works

Klebsiella grimontii is a newly identified species within the Klebsiella oxytoca complex. Here, we present the draft genome sequence of three K. grimontii strains that were isolated from catheterized urine samples collected from a participant in a longitudinal study over ~6 months.

Deep Sequence-Coupled Biopanning And Vaccine Development, Julianne Peabody

Biomedical Sciences ETDs

Virus-like particles (VLPs) are nanoparticles comprised of viral structural proteins. They physically resemble the virus from which they are derived but lack genomic material. They are non-infectious, non-replicating, and have a favorable safety profile. VLPs are highly immunogenic with a dense, repetitive structure that is strongly activating for B cells. VLPs can be utilized to develop vaccines and can be used either as direct immunogens or platforms for the display of heterologous antigens. The display of foreign peptides on VLPs can be used to elicit high-titer antibodies against the displayed peptide. A virus-like particle based on the RNA bacteriophage MS2 …

Identification And Characterization Of Intrinsically Disordered Protein Regions, Guy Wayne Dayhoff Ii

USF Tampa Graduate Theses and Dissertations

This dissertation investigates protein intrinsic disorder and intrinsically disordered protein regions (IDPRs) through the development and application of advanced computational and experimental techniques. Chapter 1 provides an introduction to protein intrinsic disorder, outlining the historical context and fundamental concepts that highlight the importance of intrinsically disordered proteins (IDPs) and IDPRs in various biological processes. Chapter 2 focuses on the rapid prediction and analysis of protein intrinsic disorder. We introduce RIDAO (Rapid Intrinsic Disorder Analysis Online), a high-efficiency web-based tool that integrates multiple disorder predictors. RIDAO significantly outperforms existing predictors in computational efficiency, making it suitable for large-scale proteomic studies. We …

Spinal Movement Disorders In Nmosd, Mogad, And Idiopathic Transverse Myelitis: A Prospective Observational Study, Hesham Abboud, Rongyi Sun, Nikhil Modak, Mohamed Elkasaby, Alexander Wang

Faculty Scholarship

Background: Retrospective studies suggest that spinal movement disorders, especially tonic spasms, are prevalent in NMOSD. However, there have been no prospective studies evaluating spinal movement disorders in NMOSD, MOGAD, and idiopathic transverse myelitis (ITM). Methods: Patients referred to a tertiary neuroimmunology clinic for spinal cord demyelination (excluding MS) were evaluated. All patients answered a movement disorders survey and underwent a movement disorder-focused exam. Movement disorders were compared among patients with NMOSD with and without AQP4-IgG, MOGAD, and ITM. Patients with and without involuntary movements were also compared to identify predictors of spinal movement disorders. Results: Sixty-three patients were evaluated from …

Contributions Of Brain Microstructures And Metabolism To Visual Field Loss Patterns In Glaucoma Using Archetypal And Information Gain Analyses, Yueyin Pang, Ji Won Bang, Anisha Kasi, Jeremy Li, Carlos Parra, Els Fieremans, Gadi Wollstein, Joel S. Schuman, Mengyu Wang, Kevin C Chan

Wills Eye Hospital Papers

PURPOSE: To investigate the contributions of the microstructural and metabolic brain environment to glaucoma and their association with visual field (VF) loss patterns by using advanced diffusion magnetic resonance imaging (dMRI), proton magnetic resonance spectroscopy (MRS), and clinical ophthalmic measures.

METHODS: Sixty-nine glaucoma and healthy subjects underwent dMRI and/or MRS at 3 Tesla. Ophthalmic data were collected from VF perimetry and optical coherence tomography. dMRI parameters of microstructural integrity in the optic radiation and MRS-derived neurochemical levels in the visual cortex were compared among early glaucoma, advanced glaucoma, and healthy controls. Multivariate regression was used to correlate neuroimaging metrics with …

Hormonal Differences In Perpetrators Of Intimate Partner Violence, Arturo L. Cantos, Gabriela Ontiveros, Robert K. Dearth, K. Daniel O'Leary

Psychological Science Faculty Publications

Objective: In order to gain a better understanding of the individual and joint impact of testosterone and cortisol on behavior, the present study was developed to test the differences in each hormone alone and conjointly between perpetrators of IPV and non-violent controls.

Method: Perpetrators of IPV on probation were compared to a control group of non-aggressive males from Hidalgo County in the Rio Grande Valley on baseline testosterone and cortisol, as well as several relevant questionnaires measuring aggression and trait anger. Differences in cortisol following exposure to a stressful event were also examined. Procedures included two laboratory visits consisting of …

Rna 2′-O-Methylation Promotes Persistent R-Loop Formation And Aid-Mediated Igh Class Switch Recombination, Muzaffer Ahmad Kassab, Yibin Chen, Xin Wang, Bo He, Eric J Brown, Xiaochun Yu

Faculty, Staff and Student Publications

BACKGROUND: RNA-DNA hybrids or R-loops are associated with deleterious genomic instability and protective immunoglobulin class switch recombination (CSR). However, the underlying phenomenon regulating the two contrasting functions of R-loops is unknown. Notably, the underlying mechanism that protects R-loops from classic RNase H-mediated digestion thereby promoting persistence of CSR-associated R-loops during CSR remains elusive.

RESULTS: Here, we report that during CSR, R-loops formed at the immunoglobulin heavy (IgH) chain are modified by ribose 2'-O-methylation (2'-OMe). Moreover, we find that 2'-O-methyltransferase fibrillarin (FBL) interacts with activation-induced cytidine deaminase (AID) associated snoRNA aSNORD1C to facilitate the 2'-OMe. Moreover, deleting AID C-terminal tail impairs …

Examining Psycho-Social Factors Of Foster Parents Who Engage In Contact Sexual Abuse, Heather Lee Manning

Walden Dissertations and Doctoral Studies

Previous work has been done to identify psych-social factors of criminals, although no work currently exists to identify the specific type of sexual offender identified within this study- foster parents who sexually offend foster children. This qualitative study focused on pre-determined psycho-social factors of both male and female offenders. The study reviewed nine cases which met the inclusion criteria and where sufficient data was able to be collected. Results of the study revealed that most offenders were male, most were married or in an otherwise committed relationship with a consenting adult during the time of their offending behaviors. These finding …

Impact Of Parental Attachment On Family Communication Patterns About Sex And Intimacy, Trish Mook

Walden Dissertations and Doctoral Studies

Risky sexual behaviors in adolescence continue to be a social problem that impacts individuals, families, and communities across the United States. Previous research showed that parents who actively talk with their adolescents about sex and intimacy topics reduce their likelihood of engaging in these behaviors. Still, less is known about what motivates a parent to engage in these discussions. This correlational quantitative research study aimed to apply Bowlby’s attachment theory and McLeod and Chaffee’s family communication patterns theory to identify if a relationship exists between parental attachment style and the family communication patterns that a parent employs when discussing sex …

Self-Explainable Graph Neural Network For Alzheimer Disease And Related Dementias Risk Prediction: Algorithm Development And Validation Study, Xinyue Hu, Zenan Sun, Yi Nian, Yichen Wang, Yifang Dang, Fang Li, Jingna Feng, Evan Yu, Cui Tao

Faculty, Staff and Student Publications

Background: Alzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of accurate ADRD risk prediction. While recent advancements in ADRD risk prediction have primarily relied on imaging analysis, not all patients undergo medical imaging before an ADRD diagnosis. Merging machine learning with claims data can reveal additional risk factors and uncover interconnections among diverse medical codes.

Objective: The study aims to use graph neural networks (GNNs) with claim data for ADRD risk prediction. Addressing the lack of human-interpretable reasons behind these predictions, we introduce an innovative, self-explainable method …

The Role Of Placental Kisspeptin In Trophoblast Invasion And Migration: An Assessment In Kiss1r Knockout Mice, Bewo Cell Lines And Human Term Placenta, E. N. Panting, J. H. Weight, J. A. Sartori, D. A. Coall, J. T. Smith

Research outputs 2022 to 2026

Context: There is mounting evidence implicating kisspeptin signalling in placental development and function. Aims: This study aimed to elucidate kisspeptin's role in trophoblast invasion and migration using three experimental models. Methods: First, we examined the mouse fetus and placenta in a kisspeptin receptor (Kiss1r) knockout (KO) model. Fetal/placental weights and gene expression (quantitative polymerase chain reaction) were assessed. Second, we determined kisspeptin effects on a human trophoblast (BeWo) cell line in vitro. Third, we examined KISS1 and KISS1R gene expression in human placenta from term and pre-Term pregnancies. Key results: No difference was found in fetal or placental weight between …

Intratumoral Immune Triads Are Required For Immunotherapy-Mediated Elimination Of Solid Tumors, Gabriel Espinosa-Carrasco, Edison Chiu, Aurora Scrivo, Paul Zumbo, Asim Dave, Doron Betel, Sung Wook Kang, Hee-Jin Jang, Matthew D Hellmann, Bryan M Burt, Hyun-Sung Lee, Andrea Schietinger

Faculty, Staff and Students Publications

Tumor-specific CD8+ T cells are frequently dysfunctional and unable to halt tumor growth. We investigated whether tumor-specific CD4+ T cells can be enlisted to overcome CD8+ T cell dysfunction within tumors. We find that the spatial positioning and interactions of CD8+ and CD4+ T cells, but not their numbers, dictate anti-tumor responses in the context of adoptive T cell therapy as well as immune checkpoint blockade (ICB): CD4+ T cells must engage with CD8+ T cells on the same dendritic cell during the effector phase, forming a three-cell-type cluster (triad) to license CD8+ T cell cytotoxicity and cancer cell elimination. …

Authenticated Diagnosing Of Covid-19 Using Deep Learning-Based Ct Image Encryption Approach, Mohamed Attia Abdelgwad, Amira Hassan Abed, Mahmoud Bahloul

Future Computing and Informatics Journal

Researchers are motivated to use artificial intelligence in biometrics, medical imaging encryption, as well as cybersecurity due to its rapid progress. An encryption method for CT scans—which are used to diagnose COVID-19 disease—is proposed in this study. The suggested encryption method creates a connection among an individual's face picture and CT image to increase confidentiality. The simple CT picture is first enhanced with a host image. An encryption key is multiplied by the final result. This key is produced by applying a Convolutional Neural Network (CNN) to recognize characteristics from people's face photographs. Additionally, a straightforward CNN with three convolutional …

Segmentation And Classification Of Left Ventricular Abnormalities In Cardiac Mri Using Initial Point Prediction Based Deformable Model, Md. Asadur Rahman, Md. Al Noman, A. B. M. Aowlad Hossain

Future Computing and Informatics Journal

The shape of the left ventricle (LV) of a cardiac magnetic resonance image (CMRI) helps physicians to diagnose different cardiac abnormalities. The similarity of pixel intensity and shape of LV with neighbor tissues, the imprecision of boundaries, and the presence of noise are the challenges to accurate segmentation of LV. This paper contributes to the successful implementation of an automatic edge contouring method to segment LV area from CMRI and detect whether the ventricle belongs to abnormalities. This method proposes the regression-based artificial neural network to predict the possible initial position of the deformable edge-based active contour model for precise …

Defensive Publication: Multi-Modal Modular Neural Network For Game Ai, Renee Gagnon

Defensive Publications Series

This publication describes a DQN-based Modular Neural Network architecture designed for Game AI applications. The system combines a Deep Q-Network (DQN) with a Convolutional Neural Network (CNN), Long Short-Term Memory Network (LSTM), and Spiking Neural Network (SNN) in a modular, sequential structure to process game state information, learn optimal strategies, and make decisions.

Evaluation Of Land Resilience Against Natural Disasters Using Ecosystem Services Approach In Kendari City, Southeast Sulawesi, Indonesia, La Ode Restele, Fitra Saleh, L. M. Iradat, Jufri Karim, Noor Husna Khairisa

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Kendari City has multiple disasters hazard, especially floods and landslides. Consequently, the city requires systematic preventive efforts to minimize the potential disaster risk. This study aims to create a spatial model to determine the resilience of the land against floods and landslides with an ecosystem services approach. We used Sentinel-2 and DEMNAS (National Digital Elevation Model of Indonesia) as our primary data collection tools. Sentinel-2 was used to compile land use maps, and DEMNAS was the basis for compiling landform maps. The integration of the two was carried out by the analytic hierarchy process (AHP). The results showed that 8,259.98 …

Automatic Geographic Information System Algorithm For Temporal Mangrove Observation: A Case Study In Gopek Beach, North Banten, Della Ayu Lestari, Willdan Aprizal Arifin, Novi Sofia Fitriasari, Taufiq Ejaz Ahmad, Amien Rais, Dhea Rahma Azhari

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Temporal observation is a series of processes started by collecting the necessary data, which is then processed, so that valid information is obtained to support the right decision. To increase the ease of data collection, an automatic algorithm is needed to increase efficiency, shorten the time, and reduce the required resources. The automatic algorithm based on the geographic information system developed in this study was applied to monitoring mangrove forests in Gopek Beach, located on the north coast of Serang, Banten. Using the cloud computing process from an automatic algorithm, the results of vegetation monitoring showed increased efficiency in time …